2023-11-11 22:43:45,547 - mmseg - INFO - Multi-processing start method is `None` 2023-11-11 22:43:45,563 - mmseg - INFO - OpenCV num_threads is `128 2023-11-11 22:43:45,563 - mmseg - INFO - OMP num threads is 1 2023-11-11 22:43:45,747 - 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+a85a748 ------------------------------------------------------------ 2023-11-11 22:43:45,747 - mmseg - INFO - Distributed training: True 2023-11-11 22:43:46,746 - 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_nsmx', core_op='FlashDCNv3', channels=112, depths=[4, 4, 21, 4], groups=[7, 14, 28, 56], mlp_ratio=4.0, drop_path_rate=0.3, norm_layer='LN', layer_scale=1.0, offset_scale=0.5, post_norm=True, with_cp=False, out_indices=(0, 1, 2, 3), init_cfg=dict( type='Pretrained', checkpoint= '/mnt/petrelfs/share_data/xiongyuwen/checkpoint/flash_internimage_b_1k_224_nosmx_dw/ckpt_epoch_ema_best.pth' )), decode_head=dict( type='Mask2FormerHead', in_channels=[112, 224, 448, 896], 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=33, layer_decay_rate=1.0, depths=[4, 4, 21, 4])) 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/share_data/xiongyuwen/checkpoint/flash_internimage_b_1k_224_nosmx_dw/ckpt_epoch_ema_best.pth' work_dir = './work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000' gpu_ids = range(0, 8) auto_resume = False 2023-11-11 22:43:51,433 - mmseg - INFO - Set random seed to 1934768032, deterministic: False 2023-11-11 22:43:51,434 - mmseg - INFO - using core type: FlashDCNv3 2023-11-11 22:43:51,434 - mmseg - INFO - using activation layer: GELU 2023-11-11 22:43:51,434 - mmseg - INFO - using main norm layer: LN 2023-11-11 22:43:51,434 - mmseg - INFO - using dpr: linear, 0.3 2023-11-11 22:43:51,434 - mmseg - INFO - level2_post_norm: False 2023-11-11 22:43:51,434 - mmseg - INFO - level2_post_norm_block_ids: None 2023-11-11 22:43:51,434 - mmseg - INFO - res_post_norm: False 2023-11-11 22:43:53,048 - mmseg - INFO - load checkpoint from local path: /mnt/petrelfs/share_data/xiongyuwen/checkpoint/flash_internimage_b_1k_224_nosmx_dw/ckpt_epoch_ema_best.pth 2023-11-11 22:43:56,069 - 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([56, 3, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.conv1.bias - torch.Size([56]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.norm1.1.weight - torch.Size([56]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.norm1.1.bias - torch.Size([56]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.conv2.weight - torch.Size([112, 56, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.conv2.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.norm2.1.weight - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.patch_embed.norm2.1.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.gamma1 - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.gamma2 - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.norm1.0.weight - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.norm1.0.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.offset_mask_dw.weight - torch.Size([112, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.offset_mask_dw.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.offset_mask.weight - torch.Size([189, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.offset_mask.bias - torch.Size([189]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.value_proj.weight - torch.Size([112, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.value_proj.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.dcn.output_proj.weight - torch.Size([112, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.norm2.0.weight - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.norm2.0.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.mlp.fc1.weight - torch.Size([448, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.mlp.fc1.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.0.mlp.fc2.weight - torch.Size([112, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.gamma1 - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.gamma2 - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.norm1.0.weight - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.norm1.0.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.offset_mask_dw.weight - torch.Size([112, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.offset_mask_dw.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.offset_mask.weight - torch.Size([189, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.offset_mask.bias - torch.Size([189]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.value_proj.weight - torch.Size([112, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.value_proj.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.dcn.output_proj.weight - torch.Size([112, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.norm2.0.weight - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.norm2.0.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.mlp.fc1.weight - torch.Size([448, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.mlp.fc1.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.1.mlp.fc2.weight - torch.Size([112, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.gamma1 - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.gamma2 - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.norm1.0.weight - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.norm1.0.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.offset_mask_dw.weight - torch.Size([112, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.offset_mask_dw.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.offset_mask.weight - torch.Size([189, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.offset_mask.bias - torch.Size([189]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.value_proj.weight - torch.Size([112, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.value_proj.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.dcn.output_proj.weight - torch.Size([112, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.norm2.0.weight - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.norm2.0.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.mlp.fc1.weight - torch.Size([448, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.mlp.fc1.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.2.mlp.fc2.weight - torch.Size([112, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.gamma1 - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.gamma2 - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.norm1.0.weight - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.norm1.0.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.offset_mask_dw.weight - torch.Size([112, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.offset_mask_dw.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.offset_mask.weight - torch.Size([189, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.offset_mask.bias - torch.Size([189]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.value_proj.weight - torch.Size([112, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.value_proj.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.dcn.output_proj.weight - torch.Size([112, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.norm2.0.weight - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.norm2.0.bias - torch.Size([112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.mlp.fc1.weight - torch.Size([448, 112]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.mlp.fc1.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.blocks.3.mlp.fc2.weight - torch.Size([112, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.downsample.conv.weight - torch.Size([224, 112, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.downsample.norm.1.weight - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.0.downsample.norm.1.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.gamma1 - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.gamma2 - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.norm1.0.weight - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.norm1.0.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.offset_mask_dw.weight - torch.Size([224, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.offset_mask_dw.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.offset_mask.weight - torch.Size([378, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.offset_mask.bias - torch.Size([378]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.value_proj.weight - torch.Size([224, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.value_proj.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.dcn.output_proj.weight - torch.Size([224, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.norm2.0.weight - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.norm2.0.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.mlp.fc1.weight - torch.Size([896, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.mlp.fc1.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.0.mlp.fc2.weight - torch.Size([224, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.gamma1 - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.gamma2 - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.norm1.0.weight - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.norm1.0.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.offset_mask_dw.weight - torch.Size([224, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.offset_mask_dw.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.offset_mask.weight - torch.Size([378, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.offset_mask.bias - torch.Size([378]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.value_proj.weight - torch.Size([224, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.value_proj.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.dcn.output_proj.weight - torch.Size([224, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.norm2.0.weight - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.norm2.0.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.mlp.fc1.weight - torch.Size([896, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.mlp.fc1.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.1.mlp.fc2.weight - torch.Size([224, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.gamma1 - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.gamma2 - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.norm1.0.weight - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.norm1.0.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.offset_mask_dw.weight - torch.Size([224, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.offset_mask_dw.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.offset_mask.weight - torch.Size([378, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.offset_mask.bias - torch.Size([378]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.value_proj.weight - torch.Size([224, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.value_proj.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.dcn.output_proj.weight - torch.Size([224, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.norm2.0.weight - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.norm2.0.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.mlp.fc1.weight - torch.Size([896, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.mlp.fc1.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.2.mlp.fc2.weight - torch.Size([224, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.gamma1 - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.gamma2 - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.norm1.0.weight - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.norm1.0.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.offset_mask_dw.weight - torch.Size([224, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.offset_mask_dw.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.offset_mask.weight - torch.Size([378, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.offset_mask.bias - torch.Size([378]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.value_proj.weight - torch.Size([224, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.value_proj.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.dcn.output_proj.weight - torch.Size([224, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.norm2.0.weight - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.norm2.0.bias - torch.Size([224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.mlp.fc1.weight - torch.Size([896, 224]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.mlp.fc1.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.blocks.3.mlp.fc2.weight - torch.Size([224, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.downsample.conv.weight - torch.Size([448, 224, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.downsample.norm.1.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.1.downsample.norm.1.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.0.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.1.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.2.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.3.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.4.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.5.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.6.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.7.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.8.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.9.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.10.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.11.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.12.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.13.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.14.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.15.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.16.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.17.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.18.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.19.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.gamma1 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.gamma2 - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.norm1.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.norm1.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.dcn.offset_mask_dw.weight - torch.Size([448, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.dcn.offset_mask_dw.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.dcn.offset_mask.weight - torch.Size([756, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.dcn.offset_mask.bias - torch.Size([756]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.dcn.value_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.dcn.value_proj.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.dcn.output_proj.weight - torch.Size([448, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.norm2.0.weight - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.norm2.0.bias - torch.Size([448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.mlp.fc1.weight - torch.Size([1792, 448]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.mlp.fc1.bias - torch.Size([1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.blocks.20.mlp.fc2.weight - torch.Size([448, 1792]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.downsample.conv.weight - torch.Size([896, 448, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.downsample.norm.1.weight - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.2.downsample.norm.1.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.gamma1 - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.gamma2 - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.norm1.0.weight - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.norm1.0.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.offset_mask_dw.weight - torch.Size([896, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.offset_mask_dw.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.offset_mask.weight - torch.Size([1512, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.offset_mask.bias - torch.Size([1512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.value_proj.weight - torch.Size([896, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.value_proj.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.dcn.output_proj.weight - torch.Size([896, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.norm2.0.weight - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.norm2.0.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.mlp.fc1.weight - torch.Size([3584, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.mlp.fc1.bias - torch.Size([3584]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.0.mlp.fc2.weight - torch.Size([896, 3584]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.gamma1 - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.gamma2 - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.norm1.0.weight - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.norm1.0.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.offset_mask_dw.weight - torch.Size([896, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.offset_mask_dw.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.offset_mask.weight - torch.Size([1512, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.offset_mask.bias - torch.Size([1512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.value_proj.weight - torch.Size([896, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.value_proj.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.dcn.output_proj.weight - torch.Size([896, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.norm2.0.weight - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.norm2.0.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.mlp.fc1.weight - torch.Size([3584, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.mlp.fc1.bias - torch.Size([3584]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.1.mlp.fc2.weight - torch.Size([896, 3584]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.gamma1 - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.gamma2 - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.norm1.0.weight - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.norm1.0.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.offset_mask_dw.weight - torch.Size([896, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.offset_mask_dw.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.offset_mask.weight - torch.Size([1512, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.offset_mask.bias - torch.Size([1512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.value_proj.weight - torch.Size([896, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.value_proj.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.dcn.output_proj.weight - torch.Size([896, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.norm2.0.weight - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.norm2.0.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.mlp.fc1.weight - torch.Size([3584, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.mlp.fc1.bias - torch.Size([3584]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.2.mlp.fc2.weight - torch.Size([896, 3584]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.gamma1 - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.gamma2 - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.norm1.0.weight - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.norm1.0.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.offset_mask_dw.weight - torch.Size([896, 1, 3, 3]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.offset_mask_dw.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.offset_mask.weight - torch.Size([1512, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.offset_mask.bias - torch.Size([1512]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.value_proj.weight - torch.Size([896, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.value_proj.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.dcn.output_proj.weight - torch.Size([896, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.norm2.0.weight - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.norm2.0.bias - torch.Size([896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.mlp.fc1.weight - torch.Size([3584, 896]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.mlp.fc1.bias - torch.Size([3584]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx backbone.levels.3.blocks.3.mlp.fc2.weight - torch.Size([896, 3584]): Initialized by user-defined `init_weights` in Flash_InternImage_nsmx decode_head.pixel_decoder.input_convs.0.conv.weight - torch.Size([256, 896, 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, 448, 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, 224, 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, 112, 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 2023-11-11 22:43:57,391 - mmseg - INFO - Loaded 20210 images 2023-11-11 22:43:58,780 - mmseg - INFO - {'num_layers': 33, 'layer_decay_rate': 1.0, 'depths': [4, 4, 21, 4]} 2023-11-11 22:43:58,780 - mmseg - INFO - Build CustomLayerDecayOptimizerConstructor 1.000000 - 35 2023-11-11 22:43:58,785 - 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": 1.0, "lr": 0.0001, "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": 1.0, "lr": 0.0001, "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.norm2.0.weight", "backbone.levels.0.blocks.0.norm2.0.bias", "backbone.levels.0.blocks.0.mlp.fc1.bias" ], "lr_scale": 1.0, "lr": 0.0001, "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": 1.0, "lr": 0.0001, "weight_decay": 0.05 }, "layer_2_no_decay": { "param_names": [ "backbone.levels.0.blocks.1.gamma1", 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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 -------------------- 2023-11-11 22:43:58,897 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters 2023-11-11 22:43:58,897 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000 by HardDiskBackend. 2023-11-11 22:45:55,761 - mmseg - INFO - Iter [50/160000] lr: 3.266e-06, eta: 1 day, 8:52:04, time: 0.740, data_time: 0.015, memory: 41146, decode.loss_cls: 9.3014, decode.loss_mask: 2.3859, decode.loss_dice: 4.4093, decode.d0.loss_cls: 10.3703, decode.d0.loss_mask: 2.1562, decode.d0.loss_dice: 4.0195, decode.d1.loss_cls: 10.4730, decode.d1.loss_mask: 2.1332, decode.d1.loss_dice: 4.0720, decode.d2.loss_cls: 10.6434, decode.d2.loss_mask: 2.3518, decode.d2.loss_dice: 4.2067, decode.d3.loss_cls: 8.9441, decode.d3.loss_mask: 2.4817, decode.d3.loss_dice: 4.2470, decode.d4.loss_cls: 8.3970, decode.d4.loss_mask: 2.1831, decode.d4.loss_dice: 4.3131, decode.d5.loss_cls: 9.3046, decode.d5.loss_mask: 2.6853, decode.d5.loss_dice: 4.2747, decode.d6.loss_cls: 8.0784, decode.d6.loss_mask: 2.9575, decode.d6.loss_dice: 4.2634, decode.d7.loss_cls: 8.4174, decode.d7.loss_mask: 2.5140, decode.d7.loss_dice: 4.3871, decode.d8.loss_cls: 9.6317, decode.d8.loss_mask: 2.8985, decode.d8.loss_dice: 4.3107, loss: 160.8120, grad_norm: 417.1369 2023-11-11 22:46:27,087 - mmseg - INFO - Iter [100/160000] lr: 6.596e-06, eta: 1 day, 6:20:35, time: 0.627, data_time: 0.014, memory: 41146, decode.loss_cls: 4.3730, decode.loss_mask: 1.9580, decode.loss_dice: 4.4369, decode.d0.loss_cls: 10.3531, decode.d0.loss_mask: 1.7891, decode.d0.loss_dice: 4.0043, decode.d1.loss_cls: 7.1400, decode.d1.loss_mask: 1.7771, decode.d1.loss_dice: 4.0725, decode.d2.loss_cls: 6.0419, decode.d2.loss_mask: 1.7945, decode.d2.loss_dice: 4.1867, decode.d3.loss_cls: 4.7440, decode.d3.loss_mask: 1.8801, decode.d3.loss_dice: 4.2570, decode.d4.loss_cls: 4.1662, decode.d4.loss_mask: 1.8605, decode.d4.loss_dice: 4.3422, decode.d5.loss_cls: 4.4606, decode.d5.loss_mask: 1.9175, decode.d5.loss_dice: 4.3669, decode.d6.loss_cls: 4.1844, decode.d6.loss_mask: 1.9364, decode.d6.loss_dice: 4.3888, decode.d7.loss_cls: 4.1983, decode.d7.loss_mask: 1.9536, decode.d7.loss_dice: 4.4192, decode.d8.loss_cls: 4.6781, decode.d8.loss_mask: 1.9667, decode.d8.loss_dice: 4.4246, loss: 116.0723, grad_norm: 115.5232 2023-11-11 22:46:52,689 - mmseg - INFO - Iter [150/160000] lr: 9.924e-06, eta: 1 day, 3:48:03, time: 0.512, data_time: 0.014, memory: 41146, decode.loss_cls: 3.5445, decode.loss_mask: 1.8514, decode.loss_dice: 4.3418, decode.d0.loss_cls: 10.3593, decode.d0.loss_mask: 1.7228, decode.d0.loss_dice: 3.9781, decode.d1.loss_cls: 4.1053, decode.d1.loss_mask: 1.7222, decode.d1.loss_dice: 4.0347, decode.d2.loss_cls: 3.6988, decode.d2.loss_mask: 1.6935, decode.d2.loss_dice: 4.0875, decode.d3.loss_cls: 3.6688, decode.d3.loss_mask: 1.6884, decode.d3.loss_dice: 4.1572, decode.d4.loss_cls: 3.6216, decode.d4.loss_mask: 1.6885, decode.d4.loss_dice: 4.2071, decode.d5.loss_cls: 3.6005, decode.d5.loss_mask: 1.7085, decode.d5.loss_dice: 4.2379, decode.d6.loss_cls: 3.5952, decode.d6.loss_mask: 1.7409, decode.d6.loss_dice: 4.2852, decode.d7.loss_cls: 3.5661, decode.d7.loss_mask: 1.7948, decode.d7.loss_dice: 4.2979, decode.d8.loss_cls: 3.5859, decode.d8.loss_mask: 1.8226, decode.d8.loss_dice: 4.3180, loss: 102.7251, grad_norm: 66.6394 2023-11-11 22:47:21,704 - mmseg - INFO - Iter [200/160000] lr: 1.325e-05, eta: 1 day, 3:17:02, time: 0.580, data_time: 0.014, memory: 41146, decode.loss_cls: 3.4066, decode.loss_mask: 1.6948, decode.loss_dice: 4.0753, decode.d0.loss_cls: 10.3544, decode.d0.loss_mask: 1.7367, decode.d0.loss_dice: 3.8243, decode.d1.loss_cls: 3.6675, decode.d1.loss_mask: 1.7131, decode.d1.loss_dice: 3.8759, decode.d2.loss_cls: 3.4634, decode.d2.loss_mask: 1.7028, decode.d2.loss_dice: 3.8868, decode.d3.loss_cls: 3.4663, decode.d3.loss_mask: 1.7033, decode.d3.loss_dice: 3.9214, decode.d4.loss_cls: 3.4266, decode.d4.loss_mask: 1.6901, decode.d4.loss_dice: 3.8951, decode.d5.loss_cls: 3.4342, decode.d5.loss_mask: 1.6943, decode.d5.loss_dice: 3.9786, decode.d6.loss_cls: 3.4243, decode.d6.loss_mask: 1.6763, decode.d6.loss_dice: 3.9879, decode.d7.loss_cls: 3.4130, decode.d7.loss_mask: 1.6814, decode.d7.loss_dice: 3.9959, decode.d8.loss_cls: 3.4294, decode.d8.loss_mask: 1.6933, decode.d8.loss_dice: 4.0245, loss: 97.9372, grad_norm: 79.8197 2023-11-11 22:47:46,364 - mmseg - INFO - Iter [250/160000] lr: 1.657e-05, eta: 1 day, 2:11:51, time: 0.493, data_time: 0.014, memory: 41146, decode.loss_cls: 3.2519, decode.loss_mask: 1.6632, decode.loss_dice: 3.6065, decode.d0.loss_cls: 10.3401, decode.d0.loss_mask: 1.6545, decode.d0.loss_dice: 3.5721, decode.d1.loss_cls: 3.5463, decode.d1.loss_mask: 1.6481, decode.d1.loss_dice: 3.5710, decode.d2.loss_cls: 3.3804, decode.d2.loss_mask: 1.6398, decode.d2.loss_dice: 3.5082, decode.d3.loss_cls: 3.3520, decode.d3.loss_mask: 1.6470, decode.d3.loss_dice: 3.5240, decode.d4.loss_cls: 3.3056, decode.d4.loss_mask: 1.6549, decode.d4.loss_dice: 3.4875, decode.d5.loss_cls: 3.2645, decode.d5.loss_mask: 1.6621, decode.d5.loss_dice: 3.5280, decode.d6.loss_cls: 3.2576, decode.d6.loss_mask: 1.6616, decode.d6.loss_dice: 3.5492, decode.d7.loss_cls: 3.2630, decode.d7.loss_mask: 1.6573, decode.d7.loss_dice: 3.5497, decode.d8.loss_cls: 3.2647, decode.d8.loss_mask: 1.6543, decode.d8.loss_dice: 3.5562, loss: 92.2215, grad_norm: 73.7920 2023-11-11 22:48:10,850 - mmseg - INFO - Iter [300/160000] lr: 1.990e-05, eta: 1 day, 1:26:43, time: 0.490, data_time: 0.014, memory: 41146, decode.loss_cls: 3.1229, decode.loss_mask: 1.5906, decode.loss_dice: 3.3064, decode.d0.loss_cls: 10.3401, decode.d0.loss_mask: 1.5891, decode.d0.loss_dice: 3.3849, decode.d1.loss_cls: 3.4251, decode.d1.loss_mask: 1.5913, decode.d1.loss_dice: 3.3145, decode.d2.loss_cls: 3.2363, decode.d2.loss_mask: 1.5681, decode.d2.loss_dice: 3.2411, decode.d3.loss_cls: 3.1801, decode.d3.loss_mask: 1.5697, decode.d3.loss_dice: 3.2298, decode.d4.loss_cls: 3.1441, decode.d4.loss_mask: 1.5705, decode.d4.loss_dice: 3.2192, decode.d5.loss_cls: 3.1002, decode.d5.loss_mask: 1.5704, decode.d5.loss_dice: 3.2419, decode.d6.loss_cls: 3.0901, decode.d6.loss_mask: 1.5799, decode.d6.loss_dice: 3.2600, decode.d7.loss_cls: 3.1165, decode.d7.loss_mask: 1.5771, decode.d7.loss_dice: 3.2578, decode.d8.loss_cls: 3.1261, decode.d8.loss_mask: 1.5786, decode.d8.loss_dice: 3.2685, loss: 87.3908, grad_norm: 94.8924 2023-11-11 22:48:35,404 - mmseg - INFO - Iter [350/160000] lr: 2.322e-05, eta: 1 day, 0:54:51, time: 0.491, data_time: 0.014, memory: 41146, decode.loss_cls: 2.9884, decode.loss_mask: 1.5394, decode.loss_dice: 3.0749, decode.d0.loss_cls: 10.3368, decode.d0.loss_mask: 1.5611, decode.d0.loss_dice: 3.2426, decode.d1.loss_cls: 3.2808, decode.d1.loss_mask: 1.5464, decode.d1.loss_dice: 3.1247, decode.d2.loss_cls: 3.0816, decode.d2.loss_mask: 1.5326, decode.d2.loss_dice: 3.0573, decode.d3.loss_cls: 3.0165, decode.d3.loss_mask: 1.5357, decode.d3.loss_dice: 3.0405, decode.d4.loss_cls: 2.9926, decode.d4.loss_mask: 1.5356, decode.d4.loss_dice: 3.0313, decode.d5.loss_cls: 2.9578, decode.d5.loss_mask: 1.5314, decode.d5.loss_dice: 3.0402, decode.d6.loss_cls: 2.9626, decode.d6.loss_mask: 1.5384, decode.d6.loss_dice: 3.0441, decode.d7.loss_cls: 2.9783, decode.d7.loss_mask: 1.5346, decode.d7.loss_dice: 3.0415, decode.d8.loss_cls: 2.9857, decode.d8.loss_mask: 1.5301, decode.d8.loss_dice: 3.0430, loss: 83.7067, grad_norm: 96.5432 2023-11-11 22:49:06,393 - mmseg - INFO - Iter [400/160000] lr: 2.653e-05, eta: 1 day, 1:13:40, time: 0.620, data_time: 0.012, memory: 41146, decode.loss_cls: 2.9614, decode.loss_mask: 1.4843, decode.loss_dice: 2.9177, decode.d0.loss_cls: 10.3000, decode.d0.loss_mask: 1.5007, decode.d0.loss_dice: 3.1329, decode.d1.loss_cls: 3.2208, decode.d1.loss_mask: 1.4864, decode.d1.loss_dice: 2.9797, decode.d2.loss_cls: 3.0144, decode.d2.loss_mask: 1.4785, decode.d2.loss_dice: 2.9017, decode.d3.loss_cls: 2.9713, decode.d3.loss_mask: 1.4829, decode.d3.loss_dice: 2.8779, decode.d4.loss_cls: 2.9505, decode.d4.loss_mask: 1.4846, decode.d4.loss_dice: 2.8850, decode.d5.loss_cls: 2.9217, decode.d5.loss_mask: 1.4716, decode.d5.loss_dice: 2.8741, decode.d6.loss_cls: 2.9239, decode.d6.loss_mask: 1.4868, decode.d6.loss_dice: 2.8827, decode.d7.loss_cls: 2.9332, decode.d7.loss_mask: 1.4833, decode.d7.loss_dice: 2.8786, decode.d8.loss_cls: 2.9525, decode.d8.loss_mask: 1.4863, decode.d8.loss_dice: 2.8860, loss: 81.2111, grad_norm: 98.3531 2023-11-11 22:49:31,592 - mmseg - INFO - Iter [450/160000] lr: 2.985e-05, eta: 1 day, 0:53:59, time: 0.504, data_time: 0.013, memory: 41146, decode.loss_cls: 2.8297, decode.loss_mask: 1.4326, decode.loss_dice: 2.7325, decode.d0.loss_cls: 10.2793, decode.d0.loss_mask: 1.4403, decode.d0.loss_dice: 3.0129, decode.d1.loss_cls: 3.1121, decode.d1.loss_mask: 1.4372, decode.d1.loss_dice: 2.8293, decode.d2.loss_cls: 2.9142, decode.d2.loss_mask: 1.4233, decode.d2.loss_dice: 2.7542, decode.d3.loss_cls: 2.8668, decode.d3.loss_mask: 1.4273, decode.d3.loss_dice: 2.7212, decode.d4.loss_cls: 2.8310, decode.d4.loss_mask: 1.4283, decode.d4.loss_dice: 2.7190, decode.d5.loss_cls: 2.8123, decode.d5.loss_mask: 1.4255, decode.d5.loss_dice: 2.7161, decode.d6.loss_cls: 2.8088, decode.d6.loss_mask: 1.4290, decode.d6.loss_dice: 2.7116, decode.d7.loss_cls: 2.8126, decode.d7.loss_mask: 1.4224, decode.d7.loss_dice: 2.7187, decode.d8.loss_cls: 2.8041, decode.d8.loss_mask: 1.4354, decode.d8.loss_dice: 2.7168, loss: 78.0044, grad_norm: 95.2712 2023-11-11 22:50:01,172 - mmseg - INFO - Iter [500/160000] lr: 3.316e-05, eta: 1 day, 1:01:24, time: 0.592, data_time: 0.013, memory: 41146, decode.loss_cls: 2.6745, decode.loss_mask: 1.4183, decode.loss_dice: 2.5360, decode.d0.loss_cls: 10.2405, decode.d0.loss_mask: 1.4110, decode.d0.loss_dice: 2.8547, decode.d1.loss_cls: 3.0034, decode.d1.loss_mask: 1.4008, decode.d1.loss_dice: 2.6437, decode.d2.loss_cls: 2.8090, decode.d2.loss_mask: 1.4050, decode.d2.loss_dice: 2.5779, decode.d3.loss_cls: 2.7557, decode.d3.loss_mask: 1.4000, decode.d3.loss_dice: 2.5341, decode.d4.loss_cls: 2.7133, decode.d4.loss_mask: 1.4084, decode.d4.loss_dice: 2.5151, decode.d5.loss_cls: 2.6814, decode.d5.loss_mask: 1.4011, decode.d5.loss_dice: 2.5235, decode.d6.loss_cls: 2.6641, decode.d6.loss_mask: 1.4150, decode.d6.loss_dice: 2.5104, decode.d7.loss_cls: 2.6619, decode.d7.loss_mask: 1.4075, decode.d7.loss_dice: 2.5292, decode.d8.loss_cls: 2.6571, decode.d8.loss_mask: 1.4201, decode.d8.loss_dice: 2.5217, loss: 74.6947, grad_norm: 90.7210 2023-11-11 22:50:26,156 - mmseg - INFO - Iter [550/160000] lr: 3.647e-05, eta: 1 day, 0:45:12, time: 0.500, data_time: 0.013, memory: 41146, decode.loss_cls: 2.6088, decode.loss_mask: 1.3579, decode.loss_dice: 2.3610, decode.d0.loss_cls: 10.1977, decode.d0.loss_mask: 1.3589, decode.d0.loss_dice: 2.7175, decode.d1.loss_cls: 2.9221, decode.d1.loss_mask: 1.3538, decode.d1.loss_dice: 2.4927, decode.d2.loss_cls: 2.7471, decode.d2.loss_mask: 1.3375, decode.d2.loss_dice: 2.4136, decode.d3.loss_cls: 2.6794, decode.d3.loss_mask: 1.3432, decode.d3.loss_dice: 2.3636, decode.d4.loss_cls: 2.6430, decode.d4.loss_mask: 1.3469, decode.d4.loss_dice: 2.3542, decode.d5.loss_cls: 2.6135, decode.d5.loss_mask: 1.3523, decode.d5.loss_dice: 2.3566, decode.d6.loss_cls: 2.6026, decode.d6.loss_mask: 1.3665, decode.d6.loss_dice: 2.3395, decode.d7.loss_cls: 2.5924, decode.d7.loss_mask: 1.3574, decode.d7.loss_dice: 2.3461, decode.d8.loss_cls: 2.5852, decode.d8.loss_mask: 1.3598, decode.d8.loss_dice: 2.3516, loss: 71.8224, grad_norm: 94.9112 2023-11-11 22:50:53,981 - mmseg - INFO - Iter [600/160000] lr: 3.978e-05, eta: 1 day, 0:44:11, time: 0.556, data_time: 0.013, memory: 41146, decode.loss_cls: 2.4937, decode.loss_mask: 1.3017, decode.loss_dice: 2.2354, decode.d0.loss_cls: 10.1411, decode.d0.loss_mask: 1.2972, decode.d0.loss_dice: 2.5910, decode.d1.loss_cls: 2.8380, decode.d1.loss_mask: 1.2931, decode.d1.loss_dice: 2.3429, decode.d2.loss_cls: 2.6558, decode.d2.loss_mask: 1.2840, decode.d2.loss_dice: 2.2726, decode.d3.loss_cls: 2.5795, decode.d3.loss_mask: 1.3053, decode.d3.loss_dice: 2.2309, decode.d4.loss_cls: 2.5269, decode.d4.loss_mask: 1.2964, decode.d4.loss_dice: 2.2209, decode.d5.loss_cls: 2.5013, decode.d5.loss_mask: 1.2908, decode.d5.loss_dice: 2.2301, decode.d6.loss_cls: 2.5013, decode.d6.loss_mask: 1.2910, decode.d6.loss_dice: 2.1998, decode.d7.loss_cls: 2.4909, decode.d7.loss_mask: 1.2951, decode.d7.loss_dice: 2.2193, decode.d8.loss_cls: 2.4789, decode.d8.loss_mask: 1.3021, decode.d8.loss_dice: 2.2194, loss: 68.9264, grad_norm: 99.3310 2023-11-11 22:51:27,959 - mmseg - INFO - Iter [650/160000] lr: 4.309e-05, eta: 1 day, 1:08:26, time: 0.680, data_time: 0.014, memory: 41146, decode.loss_cls: 2.4296, decode.loss_mask: 1.2860, decode.loss_dice: 2.1516, decode.d0.loss_cls: 10.1104, decode.d0.loss_mask: 1.2748, decode.d0.loss_dice: 2.5270, decode.d1.loss_cls: 2.8025, decode.d1.loss_mask: 1.2573, decode.d1.loss_dice: 2.2658, decode.d2.loss_cls: 2.6163, decode.d2.loss_mask: 1.2538, decode.d2.loss_dice: 2.1919, decode.d3.loss_cls: 2.5136, decode.d3.loss_mask: 1.2764, decode.d3.loss_dice: 2.1487, decode.d4.loss_cls: 2.4615, decode.d4.loss_mask: 1.2783, decode.d4.loss_dice: 2.1421, decode.d5.loss_cls: 2.4350, decode.d5.loss_mask: 1.2772, decode.d5.loss_dice: 2.1495, decode.d6.loss_cls: 2.4239, decode.d6.loss_mask: 1.2869, decode.d6.loss_dice: 2.1303, decode.d7.loss_cls: 2.4167, decode.d7.loss_mask: 1.2873, decode.d7.loss_dice: 2.1404, decode.d8.loss_cls: 2.4177, decode.d8.loss_mask: 1.2875, decode.d8.loss_dice: 2.1492, loss: 67.3894, grad_norm: 92.4129 2023-11-11 22:51:52,604 - mmseg - INFO - Iter [700/160000] lr: 4.640e-05, eta: 1 day, 0:53:44, time: 0.493, data_time: 0.013, memory: 41146, decode.loss_cls: 2.3419, decode.loss_mask: 1.1766, decode.loss_dice: 2.0472, decode.d0.loss_cls: 10.0289, decode.d0.loss_mask: 1.1843, decode.d0.loss_dice: 2.4165, decode.d1.loss_cls: 2.7264, decode.d1.loss_mask: 1.1716, decode.d1.loss_dice: 2.1547, decode.d2.loss_cls: 2.5292, decode.d2.loss_mask: 1.1690, decode.d2.loss_dice: 2.0868, decode.d3.loss_cls: 2.4338, decode.d3.loss_mask: 1.1783, decode.d3.loss_dice: 2.0428, decode.d4.loss_cls: 2.3945, decode.d4.loss_mask: 1.1754, decode.d4.loss_dice: 2.0371, decode.d5.loss_cls: 2.3713, decode.d5.loss_mask: 1.1681, decode.d5.loss_dice: 2.0385, decode.d6.loss_cls: 2.3508, decode.d6.loss_mask: 1.1761, decode.d6.loss_dice: 2.0192, decode.d7.loss_cls: 2.3415, decode.d7.loss_mask: 1.1716, decode.d7.loss_dice: 2.0319, decode.d8.loss_cls: 2.3317, decode.d8.loss_mask: 1.1783, decode.d8.loss_dice: 2.0349, loss: 64.5091, grad_norm: 85.8466 2023-11-11 22:52:17,119 - mmseg - INFO - Iter [750/160000] lr: 4.970e-05, eta: 1 day, 0:40:28, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 2.2950, decode.loss_mask: 1.2076, decode.loss_dice: 1.9901, decode.d0.loss_cls: 9.9675, decode.d0.loss_mask: 1.2064, decode.d0.loss_dice: 2.3569, decode.d1.loss_cls: 2.6496, decode.d1.loss_mask: 1.1950, decode.d1.loss_dice: 2.0826, decode.d2.loss_cls: 2.4385, decode.d2.loss_mask: 1.1934, decode.d2.loss_dice: 2.0079, decode.d3.loss_cls: 2.3475, decode.d3.loss_mask: 1.2074, decode.d3.loss_dice: 1.9753, decode.d4.loss_cls: 2.3136, decode.d4.loss_mask: 1.2054, decode.d4.loss_dice: 1.9821, decode.d5.loss_cls: 2.2864, decode.d5.loss_mask: 1.2004, decode.d5.loss_dice: 1.9900, decode.d6.loss_cls: 2.2897, decode.d6.loss_mask: 1.2055, decode.d6.loss_dice: 1.9709, decode.d7.loss_cls: 2.2922, decode.d7.loss_mask: 1.1981, decode.d7.loss_dice: 1.9837, decode.d8.loss_cls: 2.2846, decode.d8.loss_mask: 1.2055, decode.d8.loss_dice: 1.9846, loss: 63.5133, grad_norm: 86.2761 2023-11-11 22:52:41,638 - mmseg - INFO - Iter [800/160000] lr: 5.300e-05, eta: 1 day, 0:28:49, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 2.2100, decode.loss_mask: 1.1526, decode.loss_dice: 1.9148, decode.d0.loss_cls: 9.8874, decode.d0.loss_mask: 1.1541, decode.d0.loss_dice: 2.2890, decode.d1.loss_cls: 2.5230, decode.d1.loss_mask: 1.1402, decode.d1.loss_dice: 2.0135, decode.d2.loss_cls: 2.3164, decode.d2.loss_mask: 1.1518, decode.d2.loss_dice: 1.9496, decode.d3.loss_cls: 2.2581, decode.d3.loss_mask: 1.1550, decode.d3.loss_dice: 1.9237, decode.d4.loss_cls: 2.2331, decode.d4.loss_mask: 1.1535, decode.d4.loss_dice: 1.9166, decode.d5.loss_cls: 2.2236, decode.d5.loss_mask: 1.1469, decode.d5.loss_dice: 1.9143, decode.d6.loss_cls: 2.2206, decode.d6.loss_mask: 1.1479, decode.d6.loss_dice: 1.8962, decode.d7.loss_cls: 2.2224, decode.d7.loss_mask: 1.1407, decode.d7.loss_dice: 1.9067, decode.d8.loss_cls: 2.2121, decode.d8.loss_mask: 1.1499, decode.d8.loss_dice: 1.9056, loss: 61.4295, grad_norm: 85.7228 2023-11-11 22:53:06,111 - mmseg - INFO - Iter [850/160000] lr: 5.630e-05, eta: 1 day, 0:18:21, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 2.2268, decode.loss_mask: 1.1194, decode.loss_dice: 1.8732, decode.d0.loss_cls: 9.7963, decode.d0.loss_mask: 1.1252, decode.d0.loss_dice: 2.2433, decode.d1.loss_cls: 2.5295, decode.d1.loss_mask: 1.1070, decode.d1.loss_dice: 1.9634, decode.d2.loss_cls: 2.3301, decode.d2.loss_mask: 1.1103, decode.d2.loss_dice: 1.8965, decode.d3.loss_cls: 2.2630, decode.d3.loss_mask: 1.1102, decode.d3.loss_dice: 1.8630, decode.d4.loss_cls: 2.2404, decode.d4.loss_mask: 1.1100, decode.d4.loss_dice: 1.8602, decode.d5.loss_cls: 2.2198, decode.d5.loss_mask: 1.1040, decode.d5.loss_dice: 1.8709, decode.d6.loss_cls: 2.2223, decode.d6.loss_mask: 1.1074, decode.d6.loss_dice: 1.8492, decode.d7.loss_cls: 2.2205, decode.d7.loss_mask: 1.1066, decode.d7.loss_dice: 1.8586, decode.d8.loss_cls: 2.2113, decode.d8.loss_mask: 1.1173, decode.d8.loss_dice: 1.8551, loss: 60.5109, grad_norm: 81.9643 2023-11-11 22:53:30,637 - mmseg - INFO - Iter [900/160000] lr: 5.960e-05, eta: 1 day, 0:09:09, time: 0.491, data_time: 0.013, memory: 41146, decode.loss_cls: 2.0844, decode.loss_mask: 1.1261, decode.loss_dice: 1.7896, decode.d0.loss_cls: 9.6873, decode.d0.loss_mask: 1.1315, decode.d0.loss_dice: 2.1551, decode.d1.loss_cls: 2.3964, decode.d1.loss_mask: 1.1196, decode.d1.loss_dice: 1.8803, decode.d2.loss_cls: 2.1827, decode.d2.loss_mask: 1.1176, decode.d2.loss_dice: 1.8036, decode.d3.loss_cls: 2.1178, decode.d3.loss_mask: 1.1293, decode.d3.loss_dice: 1.7745, decode.d4.loss_cls: 2.1003, decode.d4.loss_mask: 1.1287, decode.d4.loss_dice: 1.7813, decode.d5.loss_cls: 2.0827, decode.d5.loss_mask: 1.1257, decode.d5.loss_dice: 1.7791, decode.d6.loss_cls: 2.0820, decode.d6.loss_mask: 1.1214, decode.d6.loss_dice: 1.7545, decode.d7.loss_cls: 2.0815, decode.d7.loss_mask: 1.1261, decode.d7.loss_dice: 1.7764, decode.d8.loss_cls: 2.0710, decode.d8.loss_mask: 1.1273, decode.d8.loss_dice: 1.7706, loss: 58.4043, grad_norm: 85.1134 2023-11-11 22:53:55,172 - mmseg - INFO - Iter [950/160000] lr: 6.289e-05, eta: 1 day, 0:00:55, time: 0.491, data_time: 0.013, memory: 41146, decode.loss_cls: 2.0709, decode.loss_mask: 1.1122, decode.loss_dice: 1.7562, decode.d0.loss_cls: 9.5841, decode.d0.loss_mask: 1.0996, decode.d0.loss_dice: 2.1200, decode.d1.loss_cls: 2.3358, decode.d1.loss_mask: 1.0904, decode.d1.loss_dice: 1.8548, decode.d2.loss_cls: 2.1366, decode.d2.loss_mask: 1.1097, decode.d2.loss_dice: 1.7846, decode.d3.loss_cls: 2.0887, decode.d3.loss_mask: 1.1049, decode.d3.loss_dice: 1.7495, decode.d4.loss_cls: 2.0775, decode.d4.loss_mask: 1.0981, decode.d4.loss_dice: 1.7560, decode.d5.loss_cls: 2.0646, decode.d5.loss_mask: 1.0994, decode.d5.loss_dice: 1.7617, decode.d6.loss_cls: 2.0614, decode.d6.loss_mask: 1.0983, decode.d6.loss_dice: 1.7390, decode.d7.loss_cls: 2.0624, decode.d7.loss_mask: 1.0992, decode.d7.loss_dice: 1.7501, decode.d8.loss_cls: 2.0602, decode.d8.loss_mask: 1.1127, decode.d8.loss_dice: 1.7604, loss: 57.5990, grad_norm: 82.7264 2023-11-11 22:54:28,875 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-11 22:54:28,875 - mmseg - INFO - Iter [1000/160000] lr: 6.618e-05, eta: 1 day, 0:17:45, time: 0.674, data_time: 0.014, memory: 41146, decode.loss_cls: 1.9710, decode.loss_mask: 1.0879, decode.loss_dice: 1.7287, decode.d0.loss_cls: 9.4669, decode.d0.loss_mask: 1.0689, decode.d0.loss_dice: 2.0771, decode.d1.loss_cls: 2.2468, decode.d1.loss_mask: 1.0701, decode.d1.loss_dice: 1.8089, decode.d2.loss_cls: 2.0543, decode.d2.loss_mask: 1.0838, decode.d2.loss_dice: 1.7500, decode.d3.loss_cls: 1.9984, decode.d3.loss_mask: 1.0798, decode.d3.loss_dice: 1.7205, decode.d4.loss_cls: 1.9903, decode.d4.loss_mask: 1.0798, decode.d4.loss_dice: 1.7344, decode.d5.loss_cls: 1.9758, decode.d5.loss_mask: 1.0770, decode.d5.loss_dice: 1.7200, decode.d6.loss_cls: 1.9724, decode.d6.loss_mask: 1.0826, decode.d6.loss_dice: 1.7059, decode.d7.loss_cls: 1.9631, decode.d7.loss_mask: 1.0937, decode.d7.loss_dice: 1.7325, decode.d8.loss_cls: 1.9629, decode.d8.loss_mask: 1.0885, decode.d8.loss_dice: 1.7268, loss: 56.1188, grad_norm: 85.1719 2023-11-11 22:54:56,355 - mmseg - INFO - Iter [1050/160000] lr: 6.947e-05, eta: 1 day, 0:17:14, time: 0.550, data_time: 0.014, memory: 41146, decode.loss_cls: 1.9661, decode.loss_mask: 1.1102, decode.loss_dice: 1.7228, decode.d0.loss_cls: 9.3750, decode.d0.loss_mask: 1.0990, decode.d0.loss_dice: 2.0664, decode.d1.loss_cls: 2.2107, decode.d1.loss_mask: 1.1113, decode.d1.loss_dice: 1.8172, decode.d2.loss_cls: 2.0193, decode.d2.loss_mask: 1.1237, decode.d2.loss_dice: 1.7423, decode.d3.loss_cls: 1.9714, decode.d3.loss_mask: 1.1216, decode.d3.loss_dice: 1.7191, decode.d4.loss_cls: 1.9769, decode.d4.loss_mask: 1.1112, decode.d4.loss_dice: 1.7211, decode.d5.loss_cls: 1.9638, decode.d5.loss_mask: 1.1151, decode.d5.loss_dice: 1.7259, decode.d6.loss_cls: 1.9634, decode.d6.loss_mask: 1.1124, decode.d6.loss_dice: 1.7139, decode.d7.loss_cls: 1.9712, decode.d7.loss_mask: 1.1129, decode.d7.loss_dice: 1.7201, decode.d8.loss_cls: 1.9658, decode.d8.loss_mask: 1.1068, decode.d8.loss_dice: 1.7092, loss: 56.1659, grad_norm: 85.4149 2023-11-11 22:55:34,861 - mmseg - INFO - Iter [1100/160000] lr: 7.276e-05, eta: 1 day, 0:43:16, time: 0.770, data_time: 0.013, memory: 41146, decode.loss_cls: 1.9116, decode.loss_mask: 1.0493, decode.loss_dice: 1.6792, decode.d0.loss_cls: 9.2311, decode.d0.loss_mask: 1.0188, decode.d0.loss_dice: 2.0253, decode.d1.loss_cls: 2.1635, decode.d1.loss_mask: 1.0377, decode.d1.loss_dice: 1.7834, decode.d2.loss_cls: 1.9727, decode.d2.loss_mask: 1.0428, decode.d2.loss_dice: 1.7084, decode.d3.loss_cls: 1.9291, decode.d3.loss_mask: 1.0326, decode.d3.loss_dice: 1.6745, decode.d4.loss_cls: 1.9339, decode.d4.loss_mask: 1.0304, decode.d4.loss_dice: 1.6794, decode.d5.loss_cls: 1.9141, decode.d5.loss_mask: 1.0311, decode.d5.loss_dice: 1.6735, decode.d6.loss_cls: 1.9095, decode.d6.loss_mask: 1.0355, decode.d6.loss_dice: 1.6585, decode.d7.loss_cls: 1.9164, decode.d7.loss_mask: 1.0352, decode.d7.loss_dice: 1.6733, decode.d8.loss_cls: 1.9083, decode.d8.loss_mask: 1.0441, decode.d8.loss_dice: 1.6738, loss: 54.3770, grad_norm: 81.8487 2023-11-11 22:55:59,926 - mmseg - INFO - Iter [1150/160000] lr: 7.605e-05, eta: 1 day, 0:36:01, time: 0.501, data_time: 0.013, memory: 41146, decode.loss_cls: 1.7803, decode.loss_mask: 1.0908, decode.loss_dice: 1.6551, decode.d0.loss_cls: 9.0892, decode.d0.loss_mask: 1.0749, decode.d0.loss_dice: 1.9574, decode.d1.loss_cls: 2.0092, decode.d1.loss_mask: 1.0879, decode.d1.loss_dice: 1.7383, decode.d2.loss_cls: 1.8424, decode.d2.loss_mask: 1.0804, decode.d2.loss_dice: 1.6627, decode.d3.loss_cls: 1.7986, decode.d3.loss_mask: 1.0767, decode.d3.loss_dice: 1.6233, decode.d4.loss_cls: 1.7923, decode.d4.loss_mask: 1.0729, decode.d4.loss_dice: 1.6380, decode.d5.loss_cls: 1.7812, decode.d5.loss_mask: 1.0774, decode.d5.loss_dice: 1.6335, decode.d6.loss_cls: 1.7744, decode.d6.loss_mask: 1.0817, decode.d6.loss_dice: 1.6262, decode.d7.loss_cls: 1.7766, decode.d7.loss_mask: 1.0847, decode.d7.loss_dice: 1.6368, decode.d8.loss_cls: 1.7626, decode.d8.loss_mask: 1.0941, decode.d8.loss_dice: 1.6470, loss: 53.0465, grad_norm: 81.5792 2023-11-11 22:56:24,925 - mmseg - INFO - Iter [1200/160000] lr: 7.933e-05, eta: 1 day, 0:29:13, time: 0.500, data_time: 0.014, memory: 41146, decode.loss_cls: 1.8525, decode.loss_mask: 1.0833, decode.loss_dice: 1.6595, decode.d0.loss_cls: 8.9525, decode.d0.loss_mask: 1.0640, decode.d0.loss_dice: 1.9733, decode.d1.loss_cls: 2.0870, decode.d1.loss_mask: 1.0698, decode.d1.loss_dice: 1.7507, decode.d2.loss_cls: 1.9191, decode.d2.loss_mask: 1.0868, decode.d2.loss_dice: 1.6822, decode.d3.loss_cls: 1.8689, decode.d3.loss_mask: 1.0914, decode.d3.loss_dice: 1.6566, decode.d4.loss_cls: 1.8630, decode.d4.loss_mask: 1.0872, decode.d4.loss_dice: 1.6498, decode.d5.loss_cls: 1.8477, decode.d5.loss_mask: 1.0847, decode.d5.loss_dice: 1.6495, decode.d6.loss_cls: 1.8397, decode.d6.loss_mask: 1.0830, decode.d6.loss_dice: 1.6381, decode.d7.loss_cls: 1.8438, decode.d7.loss_mask: 1.0839, decode.d7.loss_dice: 1.6426, decode.d8.loss_cls: 1.8530, decode.d8.loss_mask: 1.0872, decode.d8.loss_dice: 1.6514, loss: 53.7024, grad_norm: 79.3569 2023-11-11 22:57:14,956 - mmseg - INFO - Iter [1250/160000] lr: 8.262e-05, eta: 1 day, 1:15:54, time: 1.001, data_time: 0.013, memory: 41146, decode.loss_cls: 1.8058, decode.loss_mask: 1.0626, decode.loss_dice: 1.6339, decode.d0.loss_cls: 8.7894, decode.d0.loss_mask: 1.0536, decode.d0.loss_dice: 1.9619, decode.d1.loss_cls: 2.0347, decode.d1.loss_mask: 1.0604, decode.d1.loss_dice: 1.7249, decode.d2.loss_cls: 1.8755, decode.d2.loss_mask: 1.0650, decode.d2.loss_dice: 1.6504, decode.d3.loss_cls: 1.8276, decode.d3.loss_mask: 1.0612, decode.d3.loss_dice: 1.6333, decode.d4.loss_cls: 1.8212, decode.d4.loss_mask: 1.0540, decode.d4.loss_dice: 1.6308, decode.d5.loss_cls: 1.8056, decode.d5.loss_mask: 1.0594, decode.d5.loss_dice: 1.6270, decode.d6.loss_cls: 1.8009, decode.d6.loss_mask: 1.0681, decode.d6.loss_dice: 1.6139, decode.d7.loss_cls: 1.8068, decode.d7.loss_mask: 1.0540, decode.d7.loss_dice: 1.6299, decode.d8.loss_cls: 1.8103, decode.d8.loss_mask: 1.0570, decode.d8.loss_dice: 1.6270, loss: 52.7062, grad_norm: 73.8540 2023-11-11 22:57:42,705 - mmseg - INFO - Iter [1300/160000] lr: 8.590e-05, eta: 1 day, 1:13:36, time: 0.555, data_time: 0.061, memory: 41146, decode.loss_cls: 1.7756, decode.loss_mask: 1.0542, decode.loss_dice: 1.6085, decode.d0.loss_cls: 8.6103, decode.d0.loss_mask: 1.0475, decode.d0.loss_dice: 1.9084, decode.d1.loss_cls: 1.9952, decode.d1.loss_mask: 1.0481, decode.d1.loss_dice: 1.6876, decode.d2.loss_cls: 1.8328, decode.d2.loss_mask: 1.0573, decode.d2.loss_dice: 1.6303, decode.d3.loss_cls: 1.7728, decode.d3.loss_mask: 1.0500, decode.d3.loss_dice: 1.6007, decode.d4.loss_cls: 1.7783, decode.d4.loss_mask: 1.0432, decode.d4.loss_dice: 1.6090, decode.d5.loss_cls: 1.7708, decode.d5.loss_mask: 1.0417, decode.d5.loss_dice: 1.6058, decode.d6.loss_cls: 1.7626, decode.d6.loss_mask: 1.0487, decode.d6.loss_dice: 1.5930, decode.d7.loss_cls: 1.7686, decode.d7.loss_mask: 1.0476, decode.d7.loss_dice: 1.6003, decode.d8.loss_cls: 1.7661, decode.d8.loss_mask: 1.0501, decode.d8.loss_dice: 1.5987, loss: 51.7640, grad_norm: 76.0348 2023-11-11 22:58:07,120 - mmseg - INFO - Iter [1350/160000] lr: 8.918e-05, eta: 1 day, 1:04:54, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 1.7519, decode.loss_mask: 1.0587, decode.loss_dice: 1.6154, decode.d0.loss_cls: 8.4033, decode.d0.loss_mask: 1.0372, decode.d0.loss_dice: 1.9194, decode.d1.loss_cls: 1.9562, decode.d1.loss_mask: 1.0571, decode.d1.loss_dice: 1.6909, decode.d2.loss_cls: 1.7944, decode.d2.loss_mask: 1.0655, decode.d2.loss_dice: 1.6335, decode.d3.loss_cls: 1.7542, decode.d3.loss_mask: 1.0594, decode.d3.loss_dice: 1.6021, decode.d4.loss_cls: 1.7596, decode.d4.loss_mask: 1.0507, decode.d4.loss_dice: 1.6091, decode.d5.loss_cls: 1.7538, decode.d5.loss_mask: 1.0468, decode.d5.loss_dice: 1.6085, decode.d6.loss_cls: 1.7530, decode.d6.loss_mask: 1.0503, decode.d6.loss_dice: 1.5977, decode.d7.loss_cls: 1.7560, decode.d7.loss_mask: 1.0543, decode.d7.loss_dice: 1.6123, decode.d8.loss_cls: 1.7507, decode.d8.loss_mask: 1.0630, decode.d8.loss_dice: 1.6093, loss: 51.4743, grad_norm: 71.5494 2023-11-11 22:58:34,986 - mmseg - INFO - Iter [1400/160000] lr: 9.245e-05, eta: 1 day, 1:03:18, time: 0.557, data_time: 0.012, memory: 41146, decode.loss_cls: 1.6842, decode.loss_mask: 1.0197, decode.loss_dice: 1.5240, decode.d0.loss_cls: 8.1839, decode.d0.loss_mask: 1.0096, decode.d0.loss_dice: 1.8150, decode.d1.loss_cls: 1.8456, decode.d1.loss_mask: 1.0278, decode.d1.loss_dice: 1.6115, decode.d2.loss_cls: 1.7041, decode.d2.loss_mask: 1.0354, decode.d2.loss_dice: 1.5478, decode.d3.loss_cls: 1.6711, decode.d3.loss_mask: 1.0337, decode.d3.loss_dice: 1.5202, decode.d4.loss_cls: 1.6770, decode.d4.loss_mask: 1.0253, decode.d4.loss_dice: 1.5294, decode.d5.loss_cls: 1.6723, decode.d5.loss_mask: 1.0253, decode.d5.loss_dice: 1.5241, decode.d6.loss_cls: 1.6631, decode.d6.loss_mask: 1.0258, decode.d6.loss_dice: 1.5117, decode.d7.loss_cls: 1.6678, decode.d7.loss_mask: 1.0232, decode.d7.loss_dice: 1.5111, decode.d8.loss_cls: 1.6729, decode.d8.loss_mask: 1.0286, decode.d8.loss_dice: 1.5160, loss: 49.3070, grad_norm: 76.7206 2023-11-11 22:59:05,867 - mmseg - INFO - Iter [1450/160000] lr: 9.573e-05, eta: 1 day, 1:07:17, time: 0.618, data_time: 0.014, memory: 41146, decode.loss_cls: 1.7147, decode.loss_mask: 1.0310, decode.loss_dice: 1.5855, decode.d0.loss_cls: 7.9643, decode.d0.loss_mask: 1.0210, decode.d0.loss_dice: 1.8833, decode.d1.loss_cls: 1.9130, decode.d1.loss_mask: 1.0348, decode.d1.loss_dice: 1.6728, decode.d2.loss_cls: 1.7682, decode.d2.loss_mask: 1.0318, decode.d2.loss_dice: 1.6111, decode.d3.loss_cls: 1.7132, decode.d3.loss_mask: 1.0296, decode.d3.loss_dice: 1.5874, decode.d4.loss_cls: 1.7191, decode.d4.loss_mask: 1.0156, decode.d4.loss_dice: 1.5890, decode.d5.loss_cls: 1.7206, decode.d5.loss_mask: 1.0169, decode.d5.loss_dice: 1.5788, decode.d6.loss_cls: 1.7146, decode.d6.loss_mask: 1.0186, decode.d6.loss_dice: 1.5624, decode.d7.loss_cls: 1.7115, decode.d7.loss_mask: 1.0252, decode.d7.loss_dice: 1.5758, decode.d8.loss_cls: 1.7030, decode.d8.loss_mask: 1.0252, decode.d8.loss_dice: 1.5766, loss: 50.1144, grad_norm: 76.5372 2023-11-11 22:59:30,507 - mmseg - INFO - Iter [1500/160000] lr: 9.900e-05, eta: 1 day, 0:59:59, time: 0.493, data_time: 0.012, memory: 41146, decode.loss_cls: 1.7274, decode.loss_mask: 1.0498, decode.loss_dice: 1.6052, decode.d0.loss_cls: 7.7406, decode.d0.loss_mask: 1.0395, decode.d0.loss_dice: 1.8700, decode.d1.loss_cls: 1.9031, decode.d1.loss_mask: 1.0463, decode.d1.loss_dice: 1.6679, decode.d2.loss_cls: 1.7604, decode.d2.loss_mask: 1.0452, decode.d2.loss_dice: 1.5920, decode.d3.loss_cls: 1.7238, decode.d3.loss_mask: 1.0451, decode.d3.loss_dice: 1.5823, decode.d4.loss_cls: 1.7266, decode.d4.loss_mask: 1.0403, decode.d4.loss_dice: 1.5844, decode.d5.loss_cls: 1.7163, decode.d5.loss_mask: 1.0467, decode.d5.loss_dice: 1.5834, decode.d6.loss_cls: 1.7105, decode.d6.loss_mask: 1.0510, decode.d6.loss_dice: 1.5736, decode.d7.loss_cls: 1.7204, decode.d7.loss_mask: 1.0518, decode.d7.loss_dice: 1.5887, decode.d8.loss_cls: 1.7332, decode.d8.loss_mask: 1.0459, decode.d8.loss_dice: 1.5883, loss: 50.1597, grad_norm: 73.4416 2023-11-11 22:59:54,935 - mmseg - INFO - Iter [1550/160000] lr: 9.903e-05, eta: 1 day, 0:52:45, time: 0.489, data_time: 0.012, memory: 41146, decode.loss_cls: 1.6128, decode.loss_mask: 1.0008, decode.loss_dice: 1.5132, decode.d0.loss_cls: 7.4564, decode.d0.loss_mask: 1.0022, decode.d0.loss_dice: 1.7834, decode.d1.loss_cls: 1.7821, decode.d1.loss_mask: 1.0049, decode.d1.loss_dice: 1.5850, decode.d2.loss_cls: 1.6512, decode.d2.loss_mask: 0.9911, decode.d2.loss_dice: 1.5164, decode.d3.loss_cls: 1.6176, decode.d3.loss_mask: 0.9971, decode.d3.loss_dice: 1.4989, decode.d4.loss_cls: 1.6149, decode.d4.loss_mask: 0.9864, decode.d4.loss_dice: 1.5009, decode.d5.loss_cls: 1.6068, decode.d5.loss_mask: 0.9955, decode.d5.loss_dice: 1.5025, decode.d6.loss_cls: 1.6005, decode.d6.loss_mask: 1.0020, decode.d6.loss_dice: 1.4921, decode.d7.loss_cls: 1.6110, decode.d7.loss_mask: 0.9981, decode.d7.loss_dice: 1.5007, decode.d8.loss_cls: 1.6119, decode.d8.loss_mask: 0.9968, decode.d8.loss_dice: 1.5074, loss: 47.5405, grad_norm: 69.8711 2023-11-11 23:00:19,351 - mmseg - INFO - Iter [1600/160000] lr: 9.900e-05, eta: 1 day, 0:45:56, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 1.6556, decode.loss_mask: 0.9984, decode.loss_dice: 1.5110, decode.d0.loss_cls: 7.1775, decode.d0.loss_mask: 1.0138, decode.d0.loss_dice: 1.7960, decode.d1.loss_cls: 1.7785, decode.d1.loss_mask: 1.0189, decode.d1.loss_dice: 1.5902, decode.d2.loss_cls: 1.6688, decode.d2.loss_mask: 1.0044, decode.d2.loss_dice: 1.5255, decode.d3.loss_cls: 1.6270, decode.d3.loss_mask: 1.0015, decode.d3.loss_dice: 1.5059, decode.d4.loss_cls: 1.6384, decode.d4.loss_mask: 1.0028, decode.d4.loss_dice: 1.5072, decode.d5.loss_cls: 1.6326, decode.d5.loss_mask: 1.0011, decode.d5.loss_dice: 1.5006, decode.d6.loss_cls: 1.6338, decode.d6.loss_mask: 1.0013, decode.d6.loss_dice: 1.4940, decode.d7.loss_cls: 1.6418, decode.d7.loss_mask: 0.9940, decode.d7.loss_dice: 1.5031, decode.d8.loss_cls: 1.6422, decode.d8.loss_mask: 0.9969, decode.d8.loss_dice: 1.5072, loss: 47.5700, grad_norm: 75.2965 2023-11-11 23:00:43,996 - mmseg - INFO - Iter [1650/160000] lr: 9.897e-05, eta: 1 day, 0:39:52, time: 0.493, data_time: 0.013, memory: 41146, decode.loss_cls: 1.6549, decode.loss_mask: 0.9751, decode.loss_dice: 1.5135, decode.d0.loss_cls: 6.9436, decode.d0.loss_mask: 1.0002, decode.d0.loss_dice: 1.7988, decode.d1.loss_cls: 1.8170, decode.d1.loss_mask: 1.0048, decode.d1.loss_dice: 1.5974, decode.d2.loss_cls: 1.6899, decode.d2.loss_mask: 0.9847, decode.d2.loss_dice: 1.5295, decode.d3.loss_cls: 1.6668, decode.d3.loss_mask: 0.9838, decode.d3.loss_dice: 1.5155, decode.d4.loss_cls: 1.6683, decode.d4.loss_mask: 0.9712, decode.d4.loss_dice: 1.5136, decode.d5.loss_cls: 1.6686, decode.d5.loss_mask: 0.9814, decode.d5.loss_dice: 1.5078, decode.d6.loss_cls: 1.6642, decode.d6.loss_mask: 0.9719, decode.d6.loss_dice: 1.4970, decode.d7.loss_cls: 1.6525, decode.d7.loss_mask: 0.9818, decode.d7.loss_dice: 1.5026, decode.d8.loss_cls: 1.6480, decode.d8.loss_mask: 0.9819, decode.d8.loss_dice: 1.5099, loss: 47.3960, grad_norm: 69.3484 2023-11-11 23:01:08,916 - mmseg - INFO - Iter [1700/160000] lr: 9.894e-05, eta: 1 day, 0:34:34, time: 0.498, data_time: 0.012, memory: 41146, decode.loss_cls: 1.5753, decode.loss_mask: 1.0169, decode.loss_dice: 1.5385, decode.d0.loss_cls: 6.6406, decode.d0.loss_mask: 1.0139, decode.d0.loss_dice: 1.7987, decode.d1.loss_cls: 1.7397, decode.d1.loss_mask: 1.0248, decode.d1.loss_dice: 1.6111, decode.d2.loss_cls: 1.6062, decode.d2.loss_mask: 1.0076, decode.d2.loss_dice: 1.5499, decode.d3.loss_cls: 1.5821, decode.d3.loss_mask: 1.0058, decode.d3.loss_dice: 1.5248, decode.d4.loss_cls: 1.5768, decode.d4.loss_mask: 1.0130, decode.d4.loss_dice: 1.5277, decode.d5.loss_cls: 1.5613, decode.d5.loss_mask: 1.0086, decode.d5.loss_dice: 1.5198, decode.d6.loss_cls: 1.5553, decode.d6.loss_mask: 1.0227, decode.d6.loss_dice: 1.5125, decode.d7.loss_cls: 1.5580, decode.d7.loss_mask: 1.0213, decode.d7.loss_dice: 1.5245, decode.d8.loss_cls: 1.5654, decode.d8.loss_mask: 1.0187, decode.d8.loss_dice: 1.5361, loss: 46.7578, grad_norm: 72.3146 2023-11-11 23:01:34,017 - mmseg - INFO - Iter [1750/160000] lr: 9.891e-05, eta: 1 day, 0:29:49, time: 0.502, data_time: 0.013, memory: 41146, decode.loss_cls: 1.5413, decode.loss_mask: 1.0011, decode.loss_dice: 1.4994, decode.d0.loss_cls: 6.3501, decode.d0.loss_mask: 1.0143, decode.d0.loss_dice: 1.7731, decode.d1.loss_cls: 1.6994, decode.d1.loss_mask: 1.0180, decode.d1.loss_dice: 1.5755, decode.d2.loss_cls: 1.5948, decode.d2.loss_mask: 1.0007, decode.d2.loss_dice: 1.5203, decode.d3.loss_cls: 1.5546, decode.d3.loss_mask: 0.9958, decode.d3.loss_dice: 1.4993, decode.d4.loss_cls: 1.5488, decode.d4.loss_mask: 0.9889, decode.d4.loss_dice: 1.5073, decode.d5.loss_cls: 1.5438, decode.d5.loss_mask: 0.9896, decode.d5.loss_dice: 1.4903, decode.d6.loss_cls: 1.5422, decode.d6.loss_mask: 0.9970, decode.d6.loss_dice: 1.4895, decode.d7.loss_cls: 1.5338, decode.d7.loss_mask: 0.9982, decode.d7.loss_dice: 1.4869, decode.d8.loss_cls: 1.5380, decode.d8.loss_mask: 0.9989, decode.d8.loss_dice: 1.4938, loss: 45.7849, grad_norm: 69.3437 2023-11-11 23:01:58,495 - mmseg - INFO - Iter [1800/160000] lr: 9.888e-05, eta: 1 day, 0:24:23, time: 0.490, data_time: 0.012, memory: 41146, decode.loss_cls: 1.5584, decode.loss_mask: 1.0114, decode.loss_dice: 1.5107, decode.d0.loss_cls: 6.0689, decode.d0.loss_mask: 1.0234, decode.d0.loss_dice: 1.7847, decode.d1.loss_cls: 1.7462, decode.d1.loss_mask: 1.0154, decode.d1.loss_dice: 1.5865, decode.d2.loss_cls: 1.6127, decode.d2.loss_mask: 1.0119, decode.d2.loss_dice: 1.5250, decode.d3.loss_cls: 1.5787, decode.d3.loss_mask: 1.0034, decode.d3.loss_dice: 1.5079, decode.d4.loss_cls: 1.5679, decode.d4.loss_mask: 1.0033, decode.d4.loss_dice: 1.5126, decode.d5.loss_cls: 1.5583, decode.d5.loss_mask: 1.0045, decode.d5.loss_dice: 1.5106, decode.d6.loss_cls: 1.5606, decode.d6.loss_mask: 1.0047, decode.d6.loss_dice: 1.5034, decode.d7.loss_cls: 1.5572, decode.d7.loss_mask: 1.0099, decode.d7.loss_dice: 1.5192, decode.d8.loss_cls: 1.5545, decode.d8.loss_mask: 1.0161, decode.d8.loss_dice: 1.5180, loss: 45.9459, grad_norm: 70.6526 2023-11-11 23:02:24,004 - mmseg - INFO - Iter [1850/160000] lr: 9.884e-05, eta: 1 day, 0:20:42, time: 0.510, data_time: 0.013, memory: 41146, decode.loss_cls: 1.4753, decode.loss_mask: 0.9396, decode.loss_dice: 1.4748, decode.d0.loss_cls: 5.7274, decode.d0.loss_mask: 0.9589, decode.d0.loss_dice: 1.7532, decode.d1.loss_cls: 1.6566, decode.d1.loss_mask: 0.9628, decode.d1.loss_dice: 1.5448, decode.d2.loss_cls: 1.5177, decode.d2.loss_mask: 0.9525, decode.d2.loss_dice: 1.4830, decode.d3.loss_cls: 1.4962, decode.d3.loss_mask: 0.9423, decode.d3.loss_dice: 1.4665, decode.d4.loss_cls: 1.4828, decode.d4.loss_mask: 0.9422, decode.d4.loss_dice: 1.4723, decode.d5.loss_cls: 1.4756, decode.d5.loss_mask: 0.9402, decode.d5.loss_dice: 1.4723, decode.d6.loss_cls: 1.4745, decode.d6.loss_mask: 0.9428, decode.d6.loss_dice: 1.4677, decode.d7.loss_cls: 1.4690, decode.d7.loss_mask: 0.9387, decode.d7.loss_dice: 1.4741, decode.d8.loss_cls: 1.4632, decode.d8.loss_mask: 0.9420, decode.d8.loss_dice: 1.4702, loss: 43.7792, grad_norm: 68.4446 2023-11-11 23:02:50,006 - mmseg - INFO - Iter [1900/160000] lr: 9.881e-05, eta: 1 day, 0:17:52, time: 0.520, data_time: 0.012, memory: 41146, decode.loss_cls: 1.4733, decode.loss_mask: 0.9772, decode.loss_dice: 1.4326, decode.d0.loss_cls: 5.4283, decode.d0.loss_mask: 1.0156, decode.d0.loss_dice: 1.7177, decode.d1.loss_cls: 1.6588, decode.d1.loss_mask: 0.9905, decode.d1.loss_dice: 1.5120, decode.d2.loss_cls: 1.5211, decode.d2.loss_mask: 0.9785, decode.d2.loss_dice: 1.4586, decode.d3.loss_cls: 1.4785, decode.d3.loss_mask: 0.9879, decode.d3.loss_dice: 1.4392, decode.d4.loss_cls: 1.4771, decode.d4.loss_mask: 0.9804, decode.d4.loss_dice: 1.4446, decode.d5.loss_cls: 1.4686, decode.d5.loss_mask: 0.9803, decode.d5.loss_dice: 1.4433, decode.d6.loss_cls: 1.4608, decode.d6.loss_mask: 0.9816, decode.d6.loss_dice: 1.4332, decode.d7.loss_cls: 1.4706, decode.d7.loss_mask: 0.9816, decode.d7.loss_dice: 1.4383, decode.d8.loss_cls: 1.4694, decode.d8.loss_mask: 0.9780, decode.d8.loss_dice: 1.4439, loss: 43.5215, grad_norm: 67.4588 2023-11-11 23:03:14,517 - mmseg - INFO - Iter [1950/160000] lr: 9.878e-05, eta: 1 day, 0:13:09, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 1.4430, decode.loss_mask: 0.9516, decode.loss_dice: 1.4050, decode.d0.loss_cls: 5.1365, decode.d0.loss_mask: 0.9851, decode.d0.loss_dice: 1.6922, decode.d1.loss_cls: 1.6107, decode.d1.loss_mask: 0.9622, decode.d1.loss_dice: 1.4816, decode.d2.loss_cls: 1.4877, decode.d2.loss_mask: 0.9525, decode.d2.loss_dice: 1.4201, decode.d3.loss_cls: 1.4580, decode.d3.loss_mask: 0.9442, decode.d3.loss_dice: 1.4014, decode.d4.loss_cls: 1.4394, decode.d4.loss_mask: 0.9477, decode.d4.loss_dice: 1.4005, decode.d5.loss_cls: 1.4372, decode.d5.loss_mask: 0.9474, decode.d5.loss_dice: 1.3983, decode.d6.loss_cls: 1.4270, decode.d6.loss_mask: 0.9458, decode.d6.loss_dice: 1.3934, decode.d7.loss_cls: 1.4332, decode.d7.loss_mask: 0.9515, decode.d7.loss_dice: 1.3952, decode.d8.loss_cls: 1.4308, decode.d8.loss_mask: 0.9551, decode.d8.loss_dice: 1.3982, loss: 42.2325, grad_norm: 67.3012 2023-11-11 23:03:39,142 - mmseg - INFO - Saving checkpoint at 2000 iterations 2023-11-11 23:03:42,726 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-11 23:03:42,726 - mmseg - INFO - Iter [2000/160000] lr: 9.875e-05, eta: 1 day, 0:13:31, time: 0.564, data_time: 0.013, memory: 41146, decode.loss_cls: 1.4648, decode.loss_mask: 0.9710, decode.loss_dice: 1.4525, decode.d0.loss_cls: 4.8404, decode.d0.loss_mask: 1.0069, decode.d0.loss_dice: 1.7253, decode.d1.loss_cls: 1.6343, decode.d1.loss_mask: 0.9889, decode.d1.loss_dice: 1.5330, decode.d2.loss_cls: 1.5142, decode.d2.loss_mask: 0.9772, decode.d2.loss_dice: 1.4709, decode.d3.loss_cls: 1.4792, decode.d3.loss_mask: 0.9663, decode.d3.loss_dice: 1.4542, decode.d4.loss_cls: 1.4741, decode.d4.loss_mask: 0.9653, decode.d4.loss_dice: 1.4519, decode.d5.loss_cls: 1.4590, decode.d5.loss_mask: 0.9664, decode.d5.loss_dice: 1.4481, decode.d6.loss_cls: 1.4523, decode.d6.loss_mask: 0.9635, decode.d6.loss_dice: 1.4329, decode.d7.loss_cls: 1.4615, decode.d7.loss_mask: 0.9650, decode.d7.loss_dice: 1.4415, decode.d8.loss_cls: 1.4551, decode.d8.loss_mask: 0.9662, decode.d8.loss_dice: 1.4433, loss: 42.8254, grad_norm: 67.7136 2023-11-11 23:04:55,166 - mmseg - INFO - per class results: 2023-11-11 23:04:55,172 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 70.06 | 82.07 | | building | 70.97 | 94.73 | | sky | 93.84 | 95.51 | | floor | 77.55 | 84.31 | | tree | 72.21 | 85.42 | | ceiling | 75.92 | 78.97 | | road | 72.41 | 85.34 | | bed | 72.73 | 92.87 | | windowpane | 54.02 | 74.84 | | grass | 59.29 | 83.9 | | cabinet | 38.87 | 82.63 | | sidewalk | 52.84 | 77.49 | | person | 79.7 | 91.78 | | earth | 19.99 | 25.96 | | door | 23.63 | 42.87 | | table | 35.6 | 69.78 | | mountain | 45.11 | 61.21 | | plant | 48.32 | 70.29 | | curtain | 60.96 | 87.44 | | chair | 41.25 | 85.67 | | car | 80.85 | 92.37 | | water | 31.76 | 39.87 | | painting | 57.21 | 85.69 | | sofa | 43.03 | 55.65 | | shelf | 15.24 | 73.33 | | house | 0.0 | 0.0 | | sea | 39.05 | 86.53 | | mirror | 20.71 | 22.66 | | rug | 53.58 | 70.56 | | field | 6.65 | 6.82 | | armchair | 17.75 | 20.63 | | seat | 0.02 | 0.02 | | fence | 6.62 | 7.51 | | desk | 0.42 | 0.53 | | rock | 18.07 | 54.69 | | wardrobe | 0.0 | 0.0 | | lamp | 47.96 | 81.06 | | bathtub | 38.81 | 53.75 | | railing | 12.75 | 13.0 | | cushion | 39.74 | 79.51 | | base | 0.0 | 0.0 | | box | 7.11 | 11.7 | | column | 17.22 | 17.33 | | signboard | 30.6 | 50.15 | | chest of drawers | 0.0 | 0.0 | | counter | 0.0 | 0.0 | | sand | 0.0 | 0.0 | | sink | 48.94 | 79.9 | | skyscraper | 0.86 | 0.96 | | fireplace | 0.0 | 0.0 | | refrigerator | 8.1 | 8.11 | | grandstand | 0.0 | 0.0 | | path | 0.3 | 0.3 | | stairs | 6.35 | 7.09 | | runway | 0.0 | 0.0 | | case | 0.0 | 0.0 | | pool table | 0.0 | 0.0 | | pillow | 23.11 | 25.96 | | 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 | 64.12 | 82.03 | | flower | 27.48 | 47.91 | | book | 2.03 | 4.3 | | hill | 0.0 | 0.0 | | bench | 0.07 | 0.08 | | countertop | 0.0 | 0.0 | | stove | 31.37 | 35.37 | | palm | 5.1 | 5.65 | | kitchen island | 0.0 | 0.0 | | computer | 18.75 | 18.79 | | swivel chair | 0.0 | 0.0 | | boat | 0.3 | 0.3 | | bar | 0.0 | 0.0 | | arcade machine | 0.0 | 0.0 | | hovel | 0.0 | 0.0 | | bus | 0.0 | 0.0 | | towel | 8.01 | 8.09 | | light | 44.37 | 60.66 | | truck | 3.92 | 5.0 | | tower | 0.0 | 0.0 | | chandelier | 35.45 | 65.75 | | awning | 0.05 | 0.05 | | streetlight | 14.72 | 63.08 | | booth | 0.0 | 0.0 | | television receiver | 28.58 | 31.18 | | airplane | 0.0 | 0.0 | | dirt track | 0.0 | 0.0 | | apparel | 0.0 | 0.0 | | pole | 12.76 | 18.27 | | land | 0.0 | 0.0 | | bannister | 0.0 | 0.0 | | escalator | 0.0 | 0.0 | | ottoman | 0.0 | 0.0 | | bottle | 4.19 | 9.07 | | buffet | 0.0 | 0.0 | | poster | 0.0 | 0.0 | | stage | 0.0 | 0.0 | | van | 15.16 | 29.56 | | 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 | 3.87 | 4.18 | | 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 | 6.36 | 6.37 | | pot | 9.28 | 9.58 | | animal | 0.0 | 0.0 | | bicycle | 27.3 | 79.19 | | 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 | 4.57 | 4.79 | | vase | 10.39 | 25.28 | | traffic light | 0.0 | 0.0 | | tray | 0.0 | 0.0 | | ashcan | 9.77 | 11.44 | | fan | 0.0 | 0.0 | | pier | 0.0 | 0.0 | | crt screen | 0.0 | 0.0 | | plate | 1.48 | 1.53 | | 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 | +---------------------+-------+-------+ 2023-11-11 23:04:55,172 - mmseg - INFO - Summary: 2023-11-11 23:04:55,172 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 72.55 | 14.85 | 21.51 | +-------+-------+-------+ 2023-11-11 23:04:58,692 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_2000.pth. 2023-11-11 23:04:58,692 - mmseg - INFO - Best mIoU is 0.1485 at 2000 iter. 2023-11-11 23:04:58,693 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-11 23:04:58,693 - mmseg - INFO - Iter(val) [250] aAcc: 0.7255, mIoU: 0.1485, mAcc: 0.2151, IoU.wall: 0.7006, IoU.building: 0.7097, IoU.sky: 0.9384, IoU.floor: 0.7755, IoU.tree: 0.7221, IoU.ceiling: 0.7592, IoU.road: 0.7241, IoU.bed : 0.7273, IoU.windowpane: 0.5402, IoU.grass: 0.5929, IoU.cabinet: 0.3887, IoU.sidewalk: 0.5284, IoU.person: 0.7970, IoU.earth: 0.1999, IoU.door: 0.2363, IoU.table: 0.3560, IoU.mountain: 0.4511, IoU.plant: 0.4832, IoU.curtain: 0.6096, IoU.chair: 0.4125, IoU.car: 0.8085, IoU.water: 0.3176, IoU.painting: 0.5721, IoU.sofa: 0.4303, IoU.shelf: 0.1524, IoU.house: 0.0000, IoU.sea: 0.3905, IoU.mirror: 0.2071, IoU.rug: 0.5358, IoU.field: 0.0665, IoU.armchair: 0.1775, IoU.seat: 0.0002, IoU.fence: 0.0662, IoU.desk: 0.0042, IoU.rock: 0.1807, IoU.wardrobe: 0.0000, IoU.lamp: 0.4796, IoU.bathtub: 0.3881, IoU.railing: 0.1275, IoU.cushion: 0.3974, IoU.base: 0.0000, IoU.box: 0.0711, IoU.column: 0.1722, IoU.signboard: 0.3060, IoU.chest of drawers: 0.0000, IoU.counter: 0.0000, IoU.sand: 0.0000, IoU.sink: 0.4894, IoU.skyscraper: 0.0086, IoU.fireplace: 0.0000, IoU.refrigerator: 0.0810, IoU.grandstand: 0.0000, IoU.path: 0.0030, IoU.stairs: 0.0635, IoU.runway: 0.0000, IoU.case: 0.0000, IoU.pool table: 0.0000, IoU.pillow: 0.2311, 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: 0.6412, IoU.flower: 0.2748, IoU.book: 0.0203, IoU.hill: 0.0000, IoU.bench: 0.0007, IoU.countertop: 0.0000, IoU.stove: 0.3137, IoU.palm: 0.0510, IoU.kitchen island: 0.0000, IoU.computer: 0.1875, IoU.swivel chair: 0.0000, IoU.boat: 0.0030, IoU.bar: 0.0000, IoU.arcade machine: 0.0000, IoU.hovel: 0.0000, IoU.bus: 0.0000, IoU.towel: 0.0801, IoU.light: 0.4437, IoU.truck: 0.0392, IoU.tower: 0.0000, IoU.chandelier: 0.3545, IoU.awning: 0.0005, IoU.streetlight: 0.1472, IoU.booth: 0.0000, IoU.television receiver: 0.2858, IoU.airplane: 0.0000, IoU.dirt track: 0.0000, IoU.apparel: 0.0000, IoU.pole: 0.1276, IoU.land: 0.0000, IoU.bannister: 0.0000, IoU.escalator: 0.0000, IoU.ottoman: 0.0000, IoU.bottle: 0.0419, IoU.buffet: 0.0000, IoU.poster: 0.0000, IoU.stage: 0.0000, IoU.van: 0.1516, 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: 0.0387, 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: 0.0636, IoU.pot: 0.0928, IoU.animal: 0.0000, IoU.bicycle: 0.2730, 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: 0.0457, IoU.vase: 0.1039, IoU.traffic light: 0.0000, IoU.tray: 0.0000, IoU.ashcan: 0.0977, IoU.fan: 0.0000, IoU.pier: 0.0000, IoU.crt screen: 0.0000, IoU.plate: 0.0148, 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: 0.8207, Acc.building: 0.9473, Acc.sky: 0.9551, Acc.floor: 0.8431, Acc.tree: 0.8542, Acc.ceiling: 0.7897, Acc.road: 0.8534, Acc.bed : 0.9287, Acc.windowpane: 0.7484, Acc.grass: 0.8390, Acc.cabinet: 0.8263, Acc.sidewalk: 0.7749, Acc.person: 0.9178, Acc.earth: 0.2596, Acc.door: 0.4287, Acc.table: 0.6978, Acc.mountain: 0.6121, Acc.plant: 0.7029, Acc.curtain: 0.8744, Acc.chair: 0.8567, Acc.car: 0.9237, Acc.water: 0.3987, Acc.painting: 0.8569, Acc.sofa: 0.5565, Acc.shelf: 0.7333, Acc.house: 0.0000, Acc.sea: 0.8653, Acc.mirror: 0.2266, Acc.rug: 0.7056, Acc.field: 0.0682, Acc.armchair: 0.2063, Acc.seat: 0.0002, Acc.fence: 0.0751, Acc.desk: 0.0053, Acc.rock: 0.5469, Acc.wardrobe: 0.0000, Acc.lamp: 0.8106, Acc.bathtub: 0.5375, Acc.railing: 0.1300, Acc.cushion: 0.7951, Acc.base: 0.0000, Acc.box: 0.1170, Acc.column: 0.1733, Acc.signboard: 0.5015, Acc.chest of drawers: 0.0000, Acc.counter: 0.0000, Acc.sand: 0.0000, Acc.sink: 0.7990, Acc.skyscraper: 0.0096, Acc.fireplace: 0.0000, Acc.refrigerator: 0.0811, Acc.grandstand: 0.0000, Acc.path: 0.0030, Acc.stairs: 0.0709, Acc.runway: 0.0000, Acc.case: 0.0000, Acc.pool table: 0.0000, Acc.pillow: 0.2596, 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: 0.8203, Acc.flower: 0.4791, Acc.book: 0.0430, Acc.hill: 0.0000, Acc.bench: 0.0008, Acc.countertop: 0.0000, Acc.stove: 0.3537, Acc.palm: 0.0565, Acc.kitchen island: 0.0000, Acc.computer: 0.1879, Acc.swivel chair: 0.0000, Acc.boat: 0.0030, Acc.bar: 0.0000, Acc.arcade machine: 0.0000, Acc.hovel: 0.0000, Acc.bus: 0.0000, Acc.towel: 0.0809, Acc.light: 0.6066, Acc.truck: 0.0500, Acc.tower: 0.0000, Acc.chandelier: 0.6575, Acc.awning: 0.0005, Acc.streetlight: 0.6308, Acc.booth: 0.0000, Acc.television receiver: 0.3118, Acc.airplane: 0.0000, Acc.dirt track: 0.0000, Acc.apparel: 0.0000, Acc.pole: 0.1827, Acc.land: 0.0000, Acc.bannister: 0.0000, Acc.escalator: 0.0000, Acc.ottoman: 0.0000, Acc.bottle: 0.0907, Acc.buffet: 0.0000, Acc.poster: 0.0000, Acc.stage: 0.0000, Acc.van: 0.2956, 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: 0.0418, 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: 0.0637, Acc.pot: 0.0958, Acc.animal: 0.0000, Acc.bicycle: 0.7919, 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: 0.0479, Acc.vase: 0.2528, Acc.traffic light: 0.0000, Acc.tray: 0.0000, Acc.ashcan: 0.1144, Acc.fan: 0.0000, Acc.pier: 0.0000, Acc.crt screen: 0.0000, Acc.plate: 0.0153, 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 2023-11-11 23:05:23,085 - mmseg - INFO - Iter [2050/160000] lr: 9.872e-05, eta: 1 day, 1:46:30, time: 2.007, data_time: 1.532, memory: 41146, decode.loss_cls: 1.4307, decode.loss_mask: 0.9479, decode.loss_dice: 1.4425, decode.d0.loss_cls: 4.5827, decode.d0.loss_mask: 0.9904, decode.d0.loss_dice: 1.7103, decode.d1.loss_cls: 1.6079, decode.d1.loss_mask: 0.9658, decode.d1.loss_dice: 1.5133, decode.d2.loss_cls: 1.4908, decode.d2.loss_mask: 0.9536, decode.d2.loss_dice: 1.4654, decode.d3.loss_cls: 1.4586, decode.d3.loss_mask: 0.9543, decode.d3.loss_dice: 1.4344, decode.d4.loss_cls: 1.4377, decode.d4.loss_mask: 0.9588, decode.d4.loss_dice: 1.4413, decode.d5.loss_cls: 1.4305, decode.d5.loss_mask: 0.9543, decode.d5.loss_dice: 1.4326, decode.d6.loss_cls: 1.4270, decode.d6.loss_mask: 0.9531, decode.d6.loss_dice: 1.4266, decode.d7.loss_cls: 1.4343, decode.d7.loss_mask: 0.9514, decode.d7.loss_dice: 1.4332, decode.d8.loss_cls: 1.4314, decode.d8.loss_mask: 0.9500, decode.d8.loss_dice: 1.4399, loss: 42.0508, grad_norm: 67.8939 2023-11-11 23:05:47,462 - mmseg - INFO - Iter [2100/160000] lr: 9.869e-05, eta: 1 day, 1:39:44, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 1.4659, decode.loss_mask: 0.9234, decode.loss_dice: 1.4720, decode.d0.loss_cls: 4.3158, decode.d0.loss_mask: 0.9638, decode.d0.loss_dice: 1.7775, decode.d1.loss_cls: 1.6142, decode.d1.loss_mask: 0.9505, decode.d1.loss_dice: 1.5588, decode.d2.loss_cls: 1.4973, decode.d2.loss_mask: 0.9333, decode.d2.loss_dice: 1.5053, decode.d3.loss_cls: 1.4647, decode.d3.loss_mask: 0.9280, decode.d3.loss_dice: 1.4771, decode.d4.loss_cls: 1.4561, decode.d4.loss_mask: 0.9267, decode.d4.loss_dice: 1.4884, decode.d5.loss_cls: 1.4523, decode.d5.loss_mask: 0.9291, decode.d5.loss_dice: 1.4755, decode.d6.loss_cls: 1.4510, decode.d6.loss_mask: 0.9260, decode.d6.loss_dice: 1.4712, decode.d7.loss_cls: 1.4596, decode.d7.loss_mask: 0.9296, decode.d7.loss_dice: 1.4725, decode.d8.loss_cls: 1.4595, decode.d8.loss_mask: 0.9256, decode.d8.loss_dice: 1.4724, loss: 42.1431, grad_norm: 65.6051 2023-11-11 23:06:11,792 - mmseg - INFO - Iter [2150/160000] lr: 9.866e-05, eta: 1 day, 1:33:14, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 1.4409, decode.loss_mask: 0.9579, decode.loss_dice: 1.4476, decode.d0.loss_cls: 4.0962, decode.d0.loss_mask: 1.0163, decode.d0.loss_dice: 1.7287, decode.d1.loss_cls: 1.6225, decode.d1.loss_mask: 0.9890, decode.d1.loss_dice: 1.5292, decode.d2.loss_cls: 1.5029, decode.d2.loss_mask: 0.9749, decode.d2.loss_dice: 1.4778, decode.d3.loss_cls: 1.4792, decode.d3.loss_mask: 0.9623, decode.d3.loss_dice: 1.4508, decode.d4.loss_cls: 1.4616, decode.d4.loss_mask: 0.9635, decode.d4.loss_dice: 1.4468, decode.d5.loss_cls: 1.4518, decode.d5.loss_mask: 0.9682, decode.d5.loss_dice: 1.4471, decode.d6.loss_cls: 1.4417, decode.d6.loss_mask: 0.9667, decode.d6.loss_dice: 1.4416, decode.d7.loss_cls: 1.4428, decode.d7.loss_mask: 0.9679, decode.d7.loss_dice: 1.4456, decode.d8.loss_cls: 1.4431, decode.d8.loss_mask: 0.9639, decode.d8.loss_dice: 1.4529, loss: 41.9814, grad_norm: 65.2263 2023-11-11 23:06:36,366 - mmseg - INFO - Iter [2200/160000] lr: 9.863e-05, eta: 1 day, 1:27:17, time: 0.491, data_time: 0.014, memory: 41146, decode.loss_cls: 1.4177, decode.loss_mask: 0.9666, decode.loss_dice: 1.4433, decode.d0.loss_cls: 3.8538, decode.d0.loss_mask: 1.0165, decode.d0.loss_dice: 1.7388, decode.d1.loss_cls: 1.6087, decode.d1.loss_mask: 0.9777, decode.d1.loss_dice: 1.5305, decode.d2.loss_cls: 1.4811, decode.d2.loss_mask: 0.9714, decode.d2.loss_dice: 1.4719, decode.d3.loss_cls: 1.4317, decode.d3.loss_mask: 0.9667, decode.d3.loss_dice: 1.4500, decode.d4.loss_cls: 1.4283, decode.d4.loss_mask: 0.9624, decode.d4.loss_dice: 1.4556, decode.d5.loss_cls: 1.4162, decode.d5.loss_mask: 0.9603, decode.d5.loss_dice: 1.4469, decode.d6.loss_cls: 1.4169, decode.d6.loss_mask: 0.9653, decode.d6.loss_dice: 1.4351, decode.d7.loss_cls: 1.4112, decode.d7.loss_mask: 0.9639, decode.d7.loss_dice: 1.4524, decode.d8.loss_cls: 1.4237, decode.d8.loss_mask: 0.9612, decode.d8.loss_dice: 1.4467, loss: 41.4727, grad_norm: 64.2104 2023-11-11 23:07:01,085 - mmseg - INFO - Iter [2250/160000] lr: 9.859e-05, eta: 1 day, 1:21:45, time: 0.494, data_time: 0.012, memory: 41146, decode.loss_cls: 1.3690, decode.loss_mask: 0.9469, decode.loss_dice: 1.4332, decode.d0.loss_cls: 3.6013, decode.d0.loss_mask: 0.9864, decode.d0.loss_dice: 1.6937, decode.d1.loss_cls: 1.5534, decode.d1.loss_mask: 0.9535, decode.d1.loss_dice: 1.5015, decode.d2.loss_cls: 1.4210, decode.d2.loss_mask: 0.9466, decode.d2.loss_dice: 1.4446, decode.d3.loss_cls: 1.3843, decode.d3.loss_mask: 0.9427, decode.d3.loss_dice: 1.4185, decode.d4.loss_cls: 1.3601, decode.d4.loss_mask: 0.9512, decode.d4.loss_dice: 1.4374, decode.d5.loss_cls: 1.3664, decode.d5.loss_mask: 0.9431, decode.d5.loss_dice: 1.4316, decode.d6.loss_cls: 1.3621, decode.d6.loss_mask: 0.9417, decode.d6.loss_dice: 1.4242, decode.d7.loss_cls: 1.3593, decode.d7.loss_mask: 0.9452, decode.d7.loss_dice: 1.4318, decode.d8.loss_cls: 1.3550, decode.d8.loss_mask: 0.9501, decode.d8.loss_dice: 1.4310, loss: 40.2865, grad_norm: 65.3338 2023-11-11 23:07:25,652 - mmseg - INFO - Iter [2300/160000] lr: 9.856e-05, eta: 1 day, 1:16:16, time: 0.491, data_time: 0.013, memory: 41146, decode.loss_cls: 1.3738, decode.loss_mask: 0.9524, decode.loss_dice: 1.4239, decode.d0.loss_cls: 3.4596, decode.d0.loss_mask: 1.0005, decode.d0.loss_dice: 1.7041, decode.d1.loss_cls: 1.5403, decode.d1.loss_mask: 0.9665, decode.d1.loss_dice: 1.5059, decode.d2.loss_cls: 1.4231, decode.d2.loss_mask: 0.9536, decode.d2.loss_dice: 1.4411, decode.d3.loss_cls: 1.3832, decode.d3.loss_mask: 0.9441, decode.d3.loss_dice: 1.4218, decode.d4.loss_cls: 1.3735, decode.d4.loss_mask: 0.9486, decode.d4.loss_dice: 1.4259, decode.d5.loss_cls: 1.3647, decode.d5.loss_mask: 0.9409, decode.d5.loss_dice: 1.4217, decode.d6.loss_cls: 1.3596, decode.d6.loss_mask: 0.9483, decode.d6.loss_dice: 1.4211, decode.d7.loss_cls: 1.3713, decode.d7.loss_mask: 0.9565, decode.d7.loss_dice: 1.4213, decode.d8.loss_cls: 1.3705, decode.d8.loss_mask: 0.9508, decode.d8.loss_dice: 1.4303, loss: 40.1988, grad_norm: 67.4907 2023-11-11 23:07:49,928 - mmseg - INFO - Iter [2350/160000] lr: 9.853e-05, eta: 1 day, 1:10:41, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 1.3052, decode.loss_mask: 0.9323, decode.loss_dice: 1.3767, decode.d0.loss_cls: 3.2235, decode.d0.loss_mask: 0.9772, decode.d0.loss_dice: 1.6483, decode.d1.loss_cls: 1.4526, decode.d1.loss_mask: 0.9566, decode.d1.loss_dice: 1.4591, decode.d2.loss_cls: 1.3451, decode.d2.loss_mask: 0.9496, decode.d2.loss_dice: 1.4043, decode.d3.loss_cls: 1.3300, decode.d3.loss_mask: 0.9410, decode.d3.loss_dice: 1.3774, decode.d4.loss_cls: 1.3093, decode.d4.loss_mask: 0.9439, decode.d4.loss_dice: 1.3817, decode.d5.loss_cls: 1.3079, decode.d5.loss_mask: 0.9392, decode.d5.loss_dice: 1.3850, decode.d6.loss_cls: 1.3000, decode.d6.loss_mask: 0.9400, decode.d6.loss_dice: 1.3780, decode.d7.loss_cls: 1.2915, decode.d7.loss_mask: 0.9407, decode.d7.loss_dice: 1.3846, decode.d8.loss_cls: 1.2954, decode.d8.loss_mask: 0.9365, decode.d8.loss_dice: 1.3758, loss: 38.7884, grad_norm: 65.9249 2023-11-11 23:08:14,290 - mmseg - INFO - Iter [2400/160000] lr: 9.850e-05, eta: 1 day, 1:05:24, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 1.3317, decode.loss_mask: 0.9433, decode.loss_dice: 1.4052, decode.d0.loss_cls: 3.1118, decode.d0.loss_mask: 0.9904, decode.d0.loss_dice: 1.6844, decode.d1.loss_cls: 1.4822, decode.d1.loss_mask: 0.9749, decode.d1.loss_dice: 1.4990, decode.d2.loss_cls: 1.3726, decode.d2.loss_mask: 0.9717, decode.d2.loss_dice: 1.4262, decode.d3.loss_cls: 1.3426, decode.d3.loss_mask: 0.9515, decode.d3.loss_dice: 1.4056, decode.d4.loss_cls: 1.3249, decode.d4.loss_mask: 0.9561, decode.d4.loss_dice: 1.4092, decode.d5.loss_cls: 1.3231, decode.d5.loss_mask: 0.9492, decode.d5.loss_dice: 1.4102, decode.d6.loss_cls: 1.3230, decode.d6.loss_mask: 0.9566, decode.d6.loss_dice: 1.4019, decode.d7.loss_cls: 1.3194, decode.d7.loss_mask: 0.9527, decode.d7.loss_dice: 1.3967, decode.d8.loss_cls: 1.3213, decode.d8.loss_mask: 0.9521, decode.d8.loss_dice: 1.4046, loss: 39.2941, grad_norm: 65.4255 2023-11-11 23:08:38,719 - mmseg - INFO - Iter [2450/160000] lr: 9.847e-05, eta: 1 day, 1:00:24, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 1.3239, decode.loss_mask: 0.9285, decode.loss_dice: 1.4023, decode.d0.loss_cls: 2.9924, decode.d0.loss_mask: 0.9759, decode.d0.loss_dice: 1.6754, decode.d1.loss_cls: 1.4848, decode.d1.loss_mask: 0.9511, decode.d1.loss_dice: 1.4839, decode.d2.loss_cls: 1.3631, decode.d2.loss_mask: 0.9319, decode.d2.loss_dice: 1.4268, decode.d3.loss_cls: 1.3402, decode.d3.loss_mask: 0.9352, decode.d3.loss_dice: 1.4054, decode.d4.loss_cls: 1.3314, decode.d4.loss_mask: 0.9273, decode.d4.loss_dice: 1.4022, decode.d5.loss_cls: 1.3297, decode.d5.loss_mask: 0.9238, decode.d5.loss_dice: 1.4042, decode.d6.loss_cls: 1.3197, decode.d6.loss_mask: 0.9185, decode.d6.loss_dice: 1.3948, decode.d7.loss_cls: 1.3209, decode.d7.loss_mask: 0.9270, decode.d7.loss_dice: 1.4040, decode.d8.loss_cls: 1.3134, decode.d8.loss_mask: 0.9335, decode.d8.loss_dice: 1.4034, loss: 38.8745, grad_norm: 65.2793 2023-11-11 23:09:02,823 - mmseg - INFO - Iter [2500/160000] lr: 9.844e-05, eta: 1 day, 0:55:14, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 1.2820, decode.loss_mask: 0.9404, decode.loss_dice: 1.3902, decode.d0.loss_cls: 2.8469, decode.d0.loss_mask: 0.9872, decode.d0.loss_dice: 1.6627, decode.d1.loss_cls: 1.4301, decode.d1.loss_mask: 0.9609, decode.d1.loss_dice: 1.4657, decode.d2.loss_cls: 1.3279, decode.d2.loss_mask: 0.9483, decode.d2.loss_dice: 1.4086, decode.d3.loss_cls: 1.3003, decode.d3.loss_mask: 0.9417, decode.d3.loss_dice: 1.3930, decode.d4.loss_cls: 1.2882, decode.d4.loss_mask: 0.9391, decode.d4.loss_dice: 1.3953, decode.d5.loss_cls: 1.2829, decode.d5.loss_mask: 0.9430, decode.d5.loss_dice: 1.3899, decode.d6.loss_cls: 1.2827, decode.d6.loss_mask: 0.9378, decode.d6.loss_dice: 1.3769, decode.d7.loss_cls: 1.2875, decode.d7.loss_mask: 0.9407, decode.d7.loss_dice: 1.3879, decode.d8.loss_cls: 1.2797, decode.d8.loss_mask: 0.9446, decode.d8.loss_dice: 1.3944, loss: 38.3566, grad_norm: 68.9373 2023-11-11 23:09:29,249 - mmseg - INFO - Iter [2550/160000] lr: 9.841e-05, eta: 1 day, 0:52:38, time: 0.529, data_time: 0.060, memory: 41146, decode.loss_cls: 1.2648, decode.loss_mask: 0.9501, decode.loss_dice: 1.3501, decode.d0.loss_cls: 2.7581, decode.d0.loss_mask: 1.0079, decode.d0.loss_dice: 1.6275, decode.d1.loss_cls: 1.4292, decode.d1.loss_mask: 0.9682, decode.d1.loss_dice: 1.4335, decode.d2.loss_cls: 1.3370, decode.d2.loss_mask: 0.9542, decode.d2.loss_dice: 1.3714, decode.d3.loss_cls: 1.3013, decode.d3.loss_mask: 0.9566, decode.d3.loss_dice: 1.3476, decode.d4.loss_cls: 1.2771, decode.d4.loss_mask: 0.9623, decode.d4.loss_dice: 1.3606, decode.d5.loss_cls: 1.2693, decode.d5.loss_mask: 0.9566, decode.d5.loss_dice: 1.3568, decode.d6.loss_cls: 1.2596, decode.d6.loss_mask: 0.9496, decode.d6.loss_dice: 1.3426, decode.d7.loss_cls: 1.2644, decode.d7.loss_mask: 0.9554, decode.d7.loss_dice: 1.3469, decode.d8.loss_cls: 1.2639, decode.d8.loss_mask: 0.9487, decode.d8.loss_dice: 1.3516, loss: 37.9230, grad_norm: 64.2418 2023-11-11 23:09:53,407 - mmseg - INFO - Iter [2600/160000] lr: 9.838e-05, eta: 1 day, 0:47:51, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 1.2520, decode.loss_mask: 0.9202, decode.loss_dice: 1.3623, decode.d0.loss_cls: 2.6572, decode.d0.loss_mask: 0.9658, decode.d0.loss_dice: 1.6206, decode.d1.loss_cls: 1.3903, decode.d1.loss_mask: 0.9385, decode.d1.loss_dice: 1.4372, decode.d2.loss_cls: 1.2851, decode.d2.loss_mask: 0.9240, decode.d2.loss_dice: 1.3849, decode.d3.loss_cls: 1.2560, decode.d3.loss_mask: 0.9277, decode.d3.loss_dice: 1.3605, decode.d4.loss_cls: 1.2449, decode.d4.loss_mask: 0.9270, decode.d4.loss_dice: 1.3655, decode.d5.loss_cls: 1.2469, decode.d5.loss_mask: 0.9198, decode.d5.loss_dice: 1.3627, decode.d6.loss_cls: 1.2351, decode.d6.loss_mask: 0.9285, decode.d6.loss_dice: 1.3564, decode.d7.loss_cls: 1.2404, decode.d7.loss_mask: 0.9214, decode.d7.loss_dice: 1.3602, decode.d8.loss_cls: 1.2417, decode.d8.loss_mask: 0.9253, decode.d8.loss_dice: 1.3622, loss: 37.3205, grad_norm: 64.5343 2023-11-11 23:10:18,263 - mmseg - INFO - Iter [2650/160000] lr: 9.834e-05, eta: 1 day, 0:43:54, time: 0.497, data_time: 0.013, memory: 41146, decode.loss_cls: 1.2740, decode.loss_mask: 0.9022, decode.loss_dice: 1.3482, decode.d0.loss_cls: 2.6098, decode.d0.loss_mask: 0.9418, decode.d0.loss_dice: 1.6246, decode.d1.loss_cls: 1.4458, decode.d1.loss_mask: 0.9185, decode.d1.loss_dice: 1.4289, decode.d2.loss_cls: 1.3322, decode.d2.loss_mask: 0.9064, decode.d2.loss_dice: 1.3740, decode.d3.loss_cls: 1.3012, decode.d3.loss_mask: 0.9083, decode.d3.loss_dice: 1.3513, decode.d4.loss_cls: 1.2902, decode.d4.loss_mask: 0.9045, decode.d4.loss_dice: 1.3570, decode.d5.loss_cls: 1.2849, decode.d5.loss_mask: 0.9028, decode.d5.loss_dice: 1.3550, decode.d6.loss_cls: 1.2729, decode.d6.loss_mask: 0.8960, decode.d6.loss_dice: 1.3391, decode.d7.loss_cls: 1.2781, decode.d7.loss_mask: 0.9008, decode.d7.loss_dice: 1.3454, decode.d8.loss_cls: 1.2742, decode.d8.loss_mask: 0.9042, decode.d8.loss_dice: 1.3505, loss: 37.3230, grad_norm: 60.6972 2023-11-11 23:10:42,749 - mmseg - INFO - Iter [2700/160000] lr: 9.831e-05, eta: 1 day, 0:39:44, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 1.2564, decode.loss_mask: 0.9286, decode.loss_dice: 1.3872, decode.d0.loss_cls: 2.5511, decode.d0.loss_mask: 0.9805, decode.d0.loss_dice: 1.6232, decode.d1.loss_cls: 1.4356, decode.d1.loss_mask: 0.9452, decode.d1.loss_dice: 1.4349, decode.d2.loss_cls: 1.3085, decode.d2.loss_mask: 0.9235, decode.d2.loss_dice: 1.3905, decode.d3.loss_cls: 1.2672, decode.d3.loss_mask: 0.9204, decode.d3.loss_dice: 1.3665, decode.d4.loss_cls: 1.2647, decode.d4.loss_mask: 0.9252, decode.d4.loss_dice: 1.3794, decode.d5.loss_cls: 1.2591, decode.d5.loss_mask: 0.9282, decode.d5.loss_dice: 1.3683, decode.d6.loss_cls: 1.2596, decode.d6.loss_mask: 0.9247, decode.d6.loss_dice: 1.3614, decode.d7.loss_cls: 1.2654, decode.d7.loss_mask: 0.9234, decode.d7.loss_dice: 1.3653, decode.d8.loss_cls: 1.2575, decode.d8.loss_mask: 0.9260, decode.d8.loss_dice: 1.3764, loss: 37.5038, grad_norm: 61.3713 2023-11-11 23:11:07,116 - mmseg - INFO - Iter [2750/160000] lr: 9.828e-05, eta: 1 day, 0:35:36, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 1.2781, decode.loss_mask: 0.9194, decode.loss_dice: 1.3749, decode.d0.loss_cls: 2.5136, decode.d0.loss_mask: 0.9622, decode.d0.loss_dice: 1.6488, decode.d1.loss_cls: 1.4336, decode.d1.loss_mask: 0.9454, decode.d1.loss_dice: 1.4681, decode.d2.loss_cls: 1.3190, decode.d2.loss_mask: 0.9273, decode.d2.loss_dice: 1.3940, decode.d3.loss_cls: 1.2917, decode.d3.loss_mask: 0.9168, decode.d3.loss_dice: 1.3660, decode.d4.loss_cls: 1.2879, decode.d4.loss_mask: 0.9141, decode.d4.loss_dice: 1.3796, decode.d5.loss_cls: 1.2663, decode.d5.loss_mask: 0.9225, decode.d5.loss_dice: 1.3773, decode.d6.loss_cls: 1.2717, decode.d6.loss_mask: 0.9189, decode.d6.loss_dice: 1.3651, decode.d7.loss_cls: 1.2746, decode.d7.loss_mask: 0.9209, decode.d7.loss_dice: 1.3762, decode.d8.loss_cls: 1.2759, decode.d8.loss_mask: 0.9227, decode.d8.loss_dice: 1.3761, loss: 37.6086, grad_norm: 61.6497 2023-11-11 23:11:31,599 - mmseg - INFO - Iter [2800/160000] lr: 9.825e-05, eta: 1 day, 0:31:42, time: 0.490, data_time: 0.012, memory: 41146, decode.loss_cls: 1.2443, decode.loss_mask: 0.9626, decode.loss_dice: 1.3559, decode.d0.loss_cls: 2.4119, decode.d0.loss_mask: 1.0040, decode.d0.loss_dice: 1.6126, decode.d1.loss_cls: 1.3742, decode.d1.loss_mask: 0.9812, decode.d1.loss_dice: 1.4274, decode.d2.loss_cls: 1.2667, decode.d2.loss_mask: 0.9802, decode.d2.loss_dice: 1.3690, decode.d3.loss_cls: 1.2474, decode.d3.loss_mask: 0.9709, decode.d3.loss_dice: 1.3520, decode.d4.loss_cls: 1.2393, decode.d4.loss_mask: 0.9664, decode.d4.loss_dice: 1.3505, decode.d5.loss_cls: 1.2338, decode.d5.loss_mask: 0.9634, decode.d5.loss_dice: 1.3536, decode.d6.loss_cls: 1.2410, decode.d6.loss_mask: 0.9674, decode.d6.loss_dice: 1.3432, decode.d7.loss_cls: 1.2419, decode.d7.loss_mask: 0.9637, decode.d7.loss_dice: 1.3574, decode.d8.loss_cls: 1.2454, decode.d8.loss_mask: 0.9639, decode.d8.loss_dice: 1.3453, loss: 37.3365, grad_norm: 66.2575 2023-11-11 23:11:56,008 - mmseg - INFO - Iter [2850/160000] lr: 9.822e-05, eta: 1 day, 0:27:51, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 1.2237, decode.loss_mask: 0.9012, decode.loss_dice: 1.3367, decode.d0.loss_cls: 2.3870, decode.d0.loss_mask: 0.9544, decode.d0.loss_dice: 1.6123, decode.d1.loss_cls: 1.3819, decode.d1.loss_mask: 0.9313, decode.d1.loss_dice: 1.4256, decode.d2.loss_cls: 1.2644, decode.d2.loss_mask: 0.9100, decode.d2.loss_dice: 1.3674, decode.d3.loss_cls: 1.2457, decode.d3.loss_mask: 0.9098, decode.d3.loss_dice: 1.3473, decode.d4.loss_cls: 1.2295, decode.d4.loss_mask: 0.9091, decode.d4.loss_dice: 1.3373, decode.d5.loss_cls: 1.2206, decode.d5.loss_mask: 0.9059, decode.d5.loss_dice: 1.3397, decode.d6.loss_cls: 1.2148, decode.d6.loss_mask: 0.9074, decode.d6.loss_dice: 1.3431, decode.d7.loss_cls: 1.2229, decode.d7.loss_mask: 0.9017, decode.d7.loss_dice: 1.3337, decode.d8.loss_cls: 1.2136, decode.d8.loss_mask: 0.9003, decode.d8.loss_dice: 1.3341, loss: 36.5122, grad_norm: 64.3932 2023-11-11 23:12:20,226 - mmseg - INFO - Iter [2900/160000] lr: 9.819e-05, eta: 1 day, 0:23:57, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 1.2377, decode.loss_mask: 0.9207, decode.loss_dice: 1.3461, decode.d0.loss_cls: 2.3808, decode.d0.loss_mask: 0.9629, decode.d0.loss_dice: 1.6114, decode.d1.loss_cls: 1.4019, decode.d1.loss_mask: 0.9434, decode.d1.loss_dice: 1.4259, decode.d2.loss_cls: 1.2984, decode.d2.loss_mask: 0.9274, decode.d2.loss_dice: 1.3681, decode.d3.loss_cls: 1.2612, decode.d3.loss_mask: 0.9183, decode.d3.loss_dice: 1.3355, decode.d4.loss_cls: 1.2548, decode.d4.loss_mask: 0.9212, decode.d4.loss_dice: 1.3452, decode.d5.loss_cls: 1.2393, decode.d5.loss_mask: 0.9148, decode.d5.loss_dice: 1.3415, decode.d6.loss_cls: 1.2355, decode.d6.loss_mask: 0.9181, decode.d6.loss_dice: 1.3346, decode.d7.loss_cls: 1.2341, decode.d7.loss_mask: 0.9132, decode.d7.loss_dice: 1.3497, decode.d8.loss_cls: 1.2300, decode.d8.loss_mask: 0.9212, decode.d8.loss_dice: 1.3432, loss: 36.8361, grad_norm: 63.3955 2023-11-11 23:12:44,577 - mmseg - INFO - Iter [2950/160000] lr: 9.816e-05, eta: 1 day, 0:20:17, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 1.2315, decode.loss_mask: 0.8968, decode.loss_dice: 1.3413, decode.d0.loss_cls: 2.3225, decode.d0.loss_mask: 0.9457, decode.d0.loss_dice: 1.6073, decode.d1.loss_cls: 1.3826, decode.d1.loss_mask: 0.9157, decode.d1.loss_dice: 1.4254, decode.d2.loss_cls: 1.2656, decode.d2.loss_mask: 0.8987, decode.d2.loss_dice: 1.3635, decode.d3.loss_cls: 1.2407, decode.d3.loss_mask: 0.8931, decode.d3.loss_dice: 1.3406, decode.d4.loss_cls: 1.2308, decode.d4.loss_mask: 0.8989, decode.d4.loss_dice: 1.3563, decode.d5.loss_cls: 1.2341, decode.d5.loss_mask: 0.8915, decode.d5.loss_dice: 1.3407, decode.d6.loss_cls: 1.2261, decode.d6.loss_mask: 0.8903, decode.d6.loss_dice: 1.3369, decode.d7.loss_cls: 1.2339, decode.d7.loss_mask: 0.8884, decode.d7.loss_dice: 1.3433, decode.d8.loss_cls: 1.2259, decode.d8.loss_mask: 0.8941, decode.d8.loss_dice: 1.3455, loss: 36.4074, grad_norm: 62.5031 2023-11-11 23:13:08,862 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-11 23:13:08,862 - mmseg - INFO - Iter [3000/160000] lr: 9.813e-05, eta: 1 day, 0:16:40, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 1.1862, decode.loss_mask: 0.8998, decode.loss_dice: 1.3513, decode.d0.loss_cls: 2.2633, decode.d0.loss_mask: 0.9470, decode.d0.loss_dice: 1.6026, decode.d1.loss_cls: 1.3325, decode.d1.loss_mask: 0.9201, decode.d1.loss_dice: 1.4367, decode.d2.loss_cls: 1.2304, decode.d2.loss_mask: 0.9048, decode.d2.loss_dice: 1.3757, decode.d3.loss_cls: 1.2023, decode.d3.loss_mask: 0.8979, decode.d3.loss_dice: 1.3493, decode.d4.loss_cls: 1.1901, decode.d4.loss_mask: 0.8973, decode.d4.loss_dice: 1.3548, decode.d5.loss_cls: 1.1824, decode.d5.loss_mask: 0.8950, decode.d5.loss_dice: 1.3573, decode.d6.loss_cls: 1.1745, decode.d6.loss_mask: 0.9051, decode.d6.loss_dice: 1.3432, decode.d7.loss_cls: 1.1750, decode.d7.loss_mask: 0.9069, decode.d7.loss_dice: 1.3496, decode.d8.loss_cls: 1.1771, decode.d8.loss_mask: 0.9029, decode.d8.loss_dice: 1.3494, loss: 36.0605, grad_norm: 64.3052 2023-11-11 23:13:33,336 - mmseg - INFO - Iter [3050/160000] lr: 9.809e-05, eta: 1 day, 0:13:19, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 1.2198, decode.loss_mask: 0.9319, decode.loss_dice: 1.3344, decode.d0.loss_cls: 2.2818, decode.d0.loss_mask: 0.9697, decode.d0.loss_dice: 1.5914, decode.d1.loss_cls: 1.3805, decode.d1.loss_mask: 0.9492, decode.d1.loss_dice: 1.4206, decode.d2.loss_cls: 1.2721, decode.d2.loss_mask: 0.9251, decode.d2.loss_dice: 1.3617, decode.d3.loss_cls: 1.2432, decode.d3.loss_mask: 0.9219, decode.d3.loss_dice: 1.3289, decode.d4.loss_cls: 1.2318, decode.d4.loss_mask: 0.9280, decode.d4.loss_dice: 1.3379, decode.d5.loss_cls: 1.2246, decode.d5.loss_mask: 0.9229, decode.d5.loss_dice: 1.3351, decode.d6.loss_cls: 1.2207, decode.d6.loss_mask: 0.9201, decode.d6.loss_dice: 1.3255, decode.d7.loss_cls: 1.2252, decode.d7.loss_mask: 0.9244, decode.d7.loss_dice: 1.3303, decode.d8.loss_cls: 1.2254, decode.d8.loss_mask: 0.9250, decode.d8.loss_dice: 1.3322, loss: 36.5414, grad_norm: 62.4839 2023-11-11 23:13:57,827 - mmseg - INFO - Iter [3100/160000] lr: 9.806e-05, eta: 1 day, 0:10:05, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 1.1640, decode.loss_mask: 0.8917, decode.loss_dice: 1.2991, decode.d0.loss_cls: 2.2058, decode.d0.loss_mask: 0.9453, decode.d0.loss_dice: 1.5606, decode.d1.loss_cls: 1.3193, decode.d1.loss_mask: 0.9133, decode.d1.loss_dice: 1.3886, decode.d2.loss_cls: 1.2145, decode.d2.loss_mask: 0.8924, decode.d2.loss_dice: 1.3221, decode.d3.loss_cls: 1.1864, decode.d3.loss_mask: 0.8909, decode.d3.loss_dice: 1.2935, decode.d4.loss_cls: 1.1773, decode.d4.loss_mask: 0.8866, decode.d4.loss_dice: 1.3044, decode.d5.loss_cls: 1.1612, decode.d5.loss_mask: 0.8979, decode.d5.loss_dice: 1.2988, decode.d6.loss_cls: 1.1617, decode.d6.loss_mask: 0.8875, decode.d6.loss_dice: 1.2874, decode.d7.loss_cls: 1.1609, decode.d7.loss_mask: 0.8915, decode.d7.loss_dice: 1.3007, decode.d8.loss_cls: 1.1601, decode.d8.loss_mask: 0.8929, decode.d8.loss_dice: 1.2999, loss: 35.2561, grad_norm: 63.8216 2023-11-11 23:14:22,231 - mmseg - INFO - Iter [3150/160000] lr: 9.803e-05, eta: 1 day, 0:06:52, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 1.2076, decode.loss_mask: 0.8853, decode.loss_dice: 1.3171, decode.d0.loss_cls: 2.2562, decode.d0.loss_mask: 0.9367, decode.d0.loss_dice: 1.5862, decode.d1.loss_cls: 1.3630, decode.d1.loss_mask: 0.9147, decode.d1.loss_dice: 1.4036, decode.d2.loss_cls: 1.2543, decode.d2.loss_mask: 0.9022, decode.d2.loss_dice: 1.3542, decode.d3.loss_cls: 1.2270, decode.d3.loss_mask: 0.8943, decode.d3.loss_dice: 1.3262, decode.d4.loss_cls: 1.2160, decode.d4.loss_mask: 0.8917, decode.d4.loss_dice: 1.3327, decode.d5.loss_cls: 1.2102, decode.d5.loss_mask: 0.8876, decode.d5.loss_dice: 1.3317, decode.d6.loss_cls: 1.2014, decode.d6.loss_mask: 0.8911, decode.d6.loss_dice: 1.3164, decode.d7.loss_cls: 1.2173, decode.d7.loss_mask: 0.8871, decode.d7.loss_dice: 1.3235, decode.d8.loss_cls: 1.2139, decode.d8.loss_mask: 0.8904, decode.d8.loss_dice: 1.3147, loss: 35.9543, grad_norm: 63.1637 2023-11-11 23:14:46,661 - mmseg - INFO - Iter [3200/160000] lr: 9.800e-05, eta: 1 day, 0:03:45, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 1.2227, decode.loss_mask: 0.8900, decode.loss_dice: 1.3240, decode.d0.loss_cls: 2.2618, decode.d0.loss_mask: 0.9325, decode.d0.loss_dice: 1.6012, decode.d1.loss_cls: 1.4025, decode.d1.loss_mask: 0.8944, decode.d1.loss_dice: 1.4005, decode.d2.loss_cls: 1.2796, decode.d2.loss_mask: 0.8878, decode.d2.loss_dice: 1.3442, decode.d3.loss_cls: 1.2491, decode.d3.loss_mask: 0.8798, decode.d3.loss_dice: 1.3108, decode.d4.loss_cls: 1.2398, decode.d4.loss_mask: 0.8788, decode.d4.loss_dice: 1.3176, decode.d5.loss_cls: 1.2287, decode.d5.loss_mask: 0.8854, decode.d5.loss_dice: 1.3102, decode.d6.loss_cls: 1.2274, decode.d6.loss_mask: 0.8775, decode.d6.loss_dice: 1.3010, decode.d7.loss_cls: 1.2177, decode.d7.loss_mask: 0.8883, decode.d7.loss_dice: 1.3152, decode.d8.loss_cls: 1.2196, decode.d8.loss_mask: 0.8940, decode.d8.loss_dice: 1.3174, loss: 35.9994, grad_norm: 59.5644 2023-11-11 23:15:11,032 - mmseg - INFO - Iter [3250/160000] lr: 9.797e-05, eta: 1 day, 0:00:41, time: 0.487, data_time: 0.012, memory: 41146, decode.loss_cls: 1.1771, decode.loss_mask: 0.9046, decode.loss_dice: 1.3502, decode.d0.loss_cls: 2.2041, decode.d0.loss_mask: 0.9674, decode.d0.loss_dice: 1.6089, decode.d1.loss_cls: 1.3542, decode.d1.loss_mask: 0.9327, decode.d1.loss_dice: 1.4329, decode.d2.loss_cls: 1.2383, decode.d2.loss_mask: 0.9118, decode.d2.loss_dice: 1.3707, decode.d3.loss_cls: 1.2213, decode.d3.loss_mask: 0.9055, decode.d3.loss_dice: 1.3507, decode.d4.loss_cls: 1.2093, decode.d4.loss_mask: 0.9067, decode.d4.loss_dice: 1.3639, decode.d5.loss_cls: 1.1997, decode.d5.loss_mask: 0.9040, decode.d5.loss_dice: 1.3521, decode.d6.loss_cls: 1.1789, decode.d6.loss_mask: 0.9055, decode.d6.loss_dice: 1.3388, decode.d7.loss_cls: 1.1833, decode.d7.loss_mask: 0.9029, decode.d7.loss_dice: 1.3488, decode.d8.loss_cls: 1.1785, decode.d8.loss_mask: 0.9018, decode.d8.loss_dice: 1.3554, loss: 36.1599, grad_norm: 59.4996 2023-11-11 23:15:35,815 - mmseg - INFO - Iter [3300/160000] lr: 9.794e-05, eta: 23:58:01, time: 0.496, data_time: 0.012, memory: 41146, decode.loss_cls: 1.1667, decode.loss_mask: 0.8764, decode.loss_dice: 1.2970, decode.d0.loss_cls: 2.1689, decode.d0.loss_mask: 0.9192, decode.d0.loss_dice: 1.5623, decode.d1.loss_cls: 1.3162, decode.d1.loss_mask: 0.8905, decode.d1.loss_dice: 1.3850, decode.d2.loss_cls: 1.2199, decode.d2.loss_mask: 0.8847, decode.d2.loss_dice: 1.3187, decode.d3.loss_cls: 1.1894, decode.d3.loss_mask: 0.8716, decode.d3.loss_dice: 1.2930, decode.d4.loss_cls: 1.1775, decode.d4.loss_mask: 0.8714, decode.d4.loss_dice: 1.2949, decode.d5.loss_cls: 1.1778, decode.d5.loss_mask: 0.8690, decode.d5.loss_dice: 1.2923, decode.d6.loss_cls: 1.1683, decode.d6.loss_mask: 0.8716, decode.d6.loss_dice: 1.2926, decode.d7.loss_cls: 1.1650, decode.d7.loss_mask: 0.8733, decode.d7.loss_dice: 1.2993, decode.d8.loss_cls: 1.1688, decode.d8.loss_mask: 0.8740, decode.d8.loss_dice: 1.2960, loss: 35.0515, grad_norm: 57.9533 2023-11-11 23:16:01,422 - mmseg - INFO - Iter [3350/160000] lr: 9.791e-05, eta: 23:56:03, time: 0.512, data_time: 0.013, memory: 41146, decode.loss_cls: 1.1860, decode.loss_mask: 0.8812, decode.loss_dice: 1.3010, decode.d0.loss_cls: 2.1865, decode.d0.loss_mask: 0.9308, decode.d0.loss_dice: 1.5727, decode.d1.loss_cls: 1.3473, decode.d1.loss_mask: 0.9048, decode.d1.loss_dice: 1.3949, decode.d2.loss_cls: 1.2406, decode.d2.loss_mask: 0.8807, decode.d2.loss_dice: 1.3279, decode.d3.loss_cls: 1.2075, decode.d3.loss_mask: 0.8787, decode.d3.loss_dice: 1.3034, decode.d4.loss_cls: 1.1963, decode.d4.loss_mask: 0.8787, decode.d4.loss_dice: 1.3084, decode.d5.loss_cls: 1.1929, decode.d5.loss_mask: 0.8797, decode.d5.loss_dice: 1.2982, decode.d6.loss_cls: 1.1786, decode.d6.loss_mask: 0.8857, decode.d6.loss_dice: 1.2989, decode.d7.loss_cls: 1.1790, decode.d7.loss_mask: 0.8892, decode.d7.loss_dice: 1.3027, decode.d8.loss_cls: 1.1817, decode.d8.loss_mask: 0.8823, decode.d8.loss_dice: 1.3080, loss: 35.4047, grad_norm: 57.9357 2023-11-11 23:16:26,796 - mmseg - INFO - Iter [3400/160000] lr: 9.788e-05, eta: 23:53:58, time: 0.507, data_time: 0.013, memory: 41146, decode.loss_cls: 1.1673, decode.loss_mask: 0.9040, decode.loss_dice: 1.3295, decode.d0.loss_cls: 2.1391, decode.d0.loss_mask: 0.9492, decode.d0.loss_dice: 1.5757, decode.d1.loss_cls: 1.3319, decode.d1.loss_mask: 0.9211, decode.d1.loss_dice: 1.4066, decode.d2.loss_cls: 1.2097, decode.d2.loss_mask: 0.9078, decode.d2.loss_dice: 1.3451, decode.d3.loss_cls: 1.1874, decode.d3.loss_mask: 0.8986, decode.d3.loss_dice: 1.3254, decode.d4.loss_cls: 1.1837, decode.d4.loss_mask: 0.9008, decode.d4.loss_dice: 1.3209, decode.d5.loss_cls: 1.1734, decode.d5.loss_mask: 0.9053, decode.d5.loss_dice: 1.3272, decode.d6.loss_cls: 1.1620, decode.d6.loss_mask: 0.9113, decode.d6.loss_dice: 1.3250, decode.d7.loss_cls: 1.1695, decode.d7.loss_mask: 0.9117, decode.d7.loss_dice: 1.3259, decode.d8.loss_cls: 1.1657, decode.d8.loss_mask: 0.9064, decode.d8.loss_dice: 1.3261, loss: 35.6131, grad_norm: 60.7329 2023-11-11 23:16:51,159 - mmseg - INFO - Iter [3450/160000] lr: 9.784e-05, eta: 23:51:05, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 1.1644, decode.loss_mask: 0.8985, decode.loss_dice: 1.3618, decode.d0.loss_cls: 2.1422, decode.d0.loss_mask: 0.9312, decode.d0.loss_dice: 1.6197, decode.d1.loss_cls: 1.3237, decode.d1.loss_mask: 0.9116, decode.d1.loss_dice: 1.4332, decode.d2.loss_cls: 1.2151, decode.d2.loss_mask: 0.8923, decode.d2.loss_dice: 1.3687, decode.d3.loss_cls: 1.1812, decode.d3.loss_mask: 0.8947, decode.d3.loss_dice: 1.3556, decode.d4.loss_cls: 1.1686, decode.d4.loss_mask: 0.8959, decode.d4.loss_dice: 1.3625, decode.d5.loss_cls: 1.1830, decode.d5.loss_mask: 0.8932, decode.d5.loss_dice: 1.3626, decode.d6.loss_cls: 1.1693, decode.d6.loss_mask: 0.8931, decode.d6.loss_dice: 1.3536, decode.d7.loss_cls: 1.1659, decode.d7.loss_mask: 0.8976, decode.d7.loss_dice: 1.3578, decode.d8.loss_cls: 1.1628, decode.d8.loss_mask: 0.8976, decode.d8.loss_dice: 1.3597, loss: 35.8170, grad_norm: 62.8402 2023-11-11 23:17:15,845 - mmseg - INFO - Iter [3500/160000] lr: 9.781e-05, eta: 23:48:39, time: 0.495, data_time: 0.015, memory: 41146, decode.loss_cls: 1.1227, decode.loss_mask: 0.9010, decode.loss_dice: 1.3188, decode.d0.loss_cls: 2.0929, decode.d0.loss_mask: 0.9426, decode.d0.loss_dice: 1.5634, decode.d1.loss_cls: 1.2769, decode.d1.loss_mask: 0.9244, decode.d1.loss_dice: 1.4004, decode.d2.loss_cls: 1.1729, decode.d2.loss_mask: 0.8960, decode.d2.loss_dice: 1.3387, decode.d3.loss_cls: 1.1392, decode.d3.loss_mask: 0.9014, decode.d3.loss_dice: 1.3193, decode.d4.loss_cls: 1.1316, decode.d4.loss_mask: 0.8966, decode.d4.loss_dice: 1.3211, decode.d5.loss_cls: 1.1341, decode.d5.loss_mask: 0.8958, decode.d5.loss_dice: 1.3187, decode.d6.loss_cls: 1.1260, decode.d6.loss_mask: 0.8949, decode.d6.loss_dice: 1.3080, decode.d7.loss_cls: 1.1344, decode.d7.loss_mask: 0.9005, decode.d7.loss_dice: 1.3164, decode.d8.loss_cls: 1.1193, decode.d8.loss_mask: 0.8961, decode.d8.loss_dice: 1.3192, loss: 35.0232, grad_norm: 59.5225 2023-11-11 23:17:40,134 - mmseg - INFO - Iter [3550/160000] lr: 9.778e-05, eta: 23:45:55, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 1.1292, decode.loss_mask: 0.9003, decode.loss_dice: 1.3243, decode.d0.loss_cls: 2.0478, decode.d0.loss_mask: 0.9489, decode.d0.loss_dice: 1.5751, decode.d1.loss_cls: 1.2779, decode.d1.loss_mask: 0.9239, decode.d1.loss_dice: 1.3928, decode.d2.loss_cls: 1.1821, decode.d2.loss_mask: 0.9015, decode.d2.loss_dice: 1.3425, decode.d3.loss_cls: 1.1528, decode.d3.loss_mask: 0.9017, decode.d3.loss_dice: 1.3217, decode.d4.loss_cls: 1.1374, decode.d4.loss_mask: 0.9049, decode.d4.loss_dice: 1.3194, decode.d5.loss_cls: 1.1285, decode.d5.loss_mask: 0.9064, decode.d5.loss_dice: 1.3216, decode.d6.loss_cls: 1.1284, decode.d6.loss_mask: 0.8980, decode.d6.loss_dice: 1.3124, decode.d7.loss_cls: 1.1357, decode.d7.loss_mask: 0.8989, decode.d7.loss_dice: 1.3157, decode.d8.loss_cls: 1.1282, decode.d8.loss_mask: 0.8975, decode.d8.loss_dice: 1.3214, loss: 35.0768, grad_norm: 60.7011 2023-11-11 23:18:04,386 - mmseg - INFO - Iter [3600/160000] lr: 9.775e-05, eta: 23:43:14, time: 0.485, data_time: 0.014, memory: 41146, decode.loss_cls: 1.1290, decode.loss_mask: 0.8959, decode.loss_dice: 1.3024, decode.d0.loss_cls: 2.1079, decode.d0.loss_mask: 0.9416, decode.d0.loss_dice: 1.5734, decode.d1.loss_cls: 1.3006, decode.d1.loss_mask: 0.9183, decode.d1.loss_dice: 1.3992, decode.d2.loss_cls: 1.1828, decode.d2.loss_mask: 0.8945, decode.d2.loss_dice: 1.3312, decode.d3.loss_cls: 1.1652, decode.d3.loss_mask: 0.8889, decode.d3.loss_dice: 1.3025, decode.d4.loss_cls: 1.1486, decode.d4.loss_mask: 0.8858, decode.d4.loss_dice: 1.3096, decode.d5.loss_cls: 1.1495, decode.d5.loss_mask: 0.8848, decode.d5.loss_dice: 1.3025, decode.d6.loss_cls: 1.1422, decode.d6.loss_mask: 0.8935, decode.d6.loss_dice: 1.2958, decode.d7.loss_cls: 1.1395, decode.d7.loss_mask: 0.8967, decode.d7.loss_dice: 1.3029, decode.d8.loss_cls: 1.1331, decode.d8.loss_mask: 0.8933, decode.d8.loss_dice: 1.3042, loss: 35.0155, grad_norm: 61.2575 2023-11-11 23:18:28,684 - mmseg - INFO - Iter [3650/160000] lr: 9.772e-05, eta: 23:40:38, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 1.1546, decode.loss_mask: 0.8809, decode.loss_dice: 1.2887, decode.d0.loss_cls: 2.0971, decode.d0.loss_mask: 0.9277, decode.d0.loss_dice: 1.5439, decode.d1.loss_cls: 1.3083, decode.d1.loss_mask: 0.9006, decode.d1.loss_dice: 1.3821, decode.d2.loss_cls: 1.2045, decode.d2.loss_mask: 0.8797, decode.d2.loss_dice: 1.3094, decode.d3.loss_cls: 1.1799, decode.d3.loss_mask: 0.8781, decode.d3.loss_dice: 1.2874, decode.d4.loss_cls: 1.1675, decode.d4.loss_mask: 0.8899, decode.d4.loss_dice: 1.2958, decode.d5.loss_cls: 1.1713, decode.d5.loss_mask: 0.8765, decode.d5.loss_dice: 1.2936, decode.d6.loss_cls: 1.1604, decode.d6.loss_mask: 0.8785, decode.d6.loss_dice: 1.2829, decode.d7.loss_cls: 1.1579, decode.d7.loss_mask: 0.8773, decode.d7.loss_dice: 1.2835, decode.d8.loss_cls: 1.1551, decode.d8.loss_mask: 0.8778, decode.d8.loss_dice: 1.2861, loss: 34.8766, grad_norm: 58.9669 2023-11-11 23:18:53,129 - mmseg - INFO - Iter [3700/160000] lr: 9.769e-05, eta: 23:38:12, time: 0.489, data_time: 0.014, memory: 41146, decode.loss_cls: 1.1064, decode.loss_mask: 0.8729, decode.loss_dice: 1.2798, decode.d0.loss_cls: 2.0288, decode.d0.loss_mask: 0.9219, decode.d0.loss_dice: 1.5308, decode.d1.loss_cls: 1.2602, decode.d1.loss_mask: 0.8969, decode.d1.loss_dice: 1.3710, decode.d2.loss_cls: 1.1614, decode.d2.loss_mask: 0.8713, decode.d2.loss_dice: 1.3016, decode.d3.loss_cls: 1.1375, decode.d3.loss_mask: 0.8705, decode.d3.loss_dice: 1.2829, decode.d4.loss_cls: 1.1225, decode.d4.loss_mask: 0.8667, decode.d4.loss_dice: 1.2910, decode.d5.loss_cls: 1.1192, decode.d5.loss_mask: 0.8666, decode.d5.loss_dice: 1.2782, decode.d6.loss_cls: 1.1112, decode.d6.loss_mask: 0.8663, decode.d6.loss_dice: 1.2793, decode.d7.loss_cls: 1.1096, decode.d7.loss_mask: 0.8732, decode.d7.loss_dice: 1.2842, decode.d8.loss_cls: 1.1065, decode.d8.loss_mask: 0.8766, decode.d8.loss_dice: 1.2849, loss: 34.2298, grad_norm: 62.4640 2023-11-11 23:19:17,350 - mmseg - INFO - Iter [3750/160000] lr: 9.766e-05, eta: 23:35:39, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 1.1694, decode.loss_mask: 0.8404, decode.loss_dice: 1.2785, decode.d0.loss_cls: 2.1255, decode.d0.loss_mask: 0.8840, decode.d0.loss_dice: 1.5391, decode.d1.loss_cls: 1.3314, decode.d1.loss_mask: 0.8552, decode.d1.loss_dice: 1.3731, decode.d2.loss_cls: 1.2233, decode.d2.loss_mask: 0.8442, decode.d2.loss_dice: 1.3043, decode.d3.loss_cls: 1.1983, decode.d3.loss_mask: 0.8451, decode.d3.loss_dice: 1.2786, decode.d4.loss_cls: 1.1897, decode.d4.loss_mask: 0.8418, decode.d4.loss_dice: 1.2873, decode.d5.loss_cls: 1.1724, decode.d5.loss_mask: 0.8386, decode.d5.loss_dice: 1.2829, decode.d6.loss_cls: 1.1768, decode.d6.loss_mask: 0.8356, decode.d6.loss_dice: 1.2810, decode.d7.loss_cls: 1.1731, decode.d7.loss_mask: 0.8404, decode.d7.loss_dice: 1.2788, decode.d8.loss_cls: 1.1697, decode.d8.loss_mask: 0.8374, decode.d8.loss_dice: 1.2775, loss: 34.5735, grad_norm: 56.9078 2023-11-11 23:19:43,830 - mmseg - INFO - Iter [3800/160000] lr: 9.763e-05, eta: 23:34:43, time: 0.530, data_time: 0.058, memory: 41146, decode.loss_cls: 1.1242, decode.loss_mask: 0.8524, decode.loss_dice: 1.2933, decode.d0.loss_cls: 2.0486, decode.d0.loss_mask: 0.9038, decode.d0.loss_dice: 1.5350, decode.d1.loss_cls: 1.2672, decode.d1.loss_mask: 0.8826, decode.d1.loss_dice: 1.3741, decode.d2.loss_cls: 1.1578, decode.d2.loss_mask: 0.8673, decode.d2.loss_dice: 1.3090, decode.d3.loss_cls: 1.1299, decode.d3.loss_mask: 0.8590, decode.d3.loss_dice: 1.2902, decode.d4.loss_cls: 1.1208, decode.d4.loss_mask: 0.8581, decode.d4.loss_dice: 1.2952, decode.d5.loss_cls: 1.1201, decode.d5.loss_mask: 0.8519, decode.d5.loss_dice: 1.2896, decode.d6.loss_cls: 1.1222, decode.d6.loss_mask: 0.8537, decode.d6.loss_dice: 1.2863, decode.d7.loss_cls: 1.1202, decode.d7.loss_mask: 0.8516, decode.d7.loss_dice: 1.2915, decode.d8.loss_cls: 1.1193, decode.d8.loss_mask: 0.8548, decode.d8.loss_dice: 1.2951, loss: 34.2249, grad_norm: 59.2944 2023-11-11 23:20:07,980 - mmseg - INFO - Iter [3850/160000] lr: 9.759e-05, eta: 23:32:14, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 1.1262, decode.loss_mask: 0.9035, decode.loss_dice: 1.3128, decode.d0.loss_cls: 2.0368, decode.d0.loss_mask: 0.9532, decode.d0.loss_dice: 1.5594, decode.d1.loss_cls: 1.2695, decode.d1.loss_mask: 0.9322, decode.d1.loss_dice: 1.3959, decode.d2.loss_cls: 1.1646, decode.d2.loss_mask: 0.9108, decode.d2.loss_dice: 1.3360, decode.d3.loss_cls: 1.1347, decode.d3.loss_mask: 0.9057, decode.d3.loss_dice: 1.3092, decode.d4.loss_cls: 1.1280, decode.d4.loss_mask: 0.9057, decode.d4.loss_dice: 1.3166, decode.d5.loss_cls: 1.1285, decode.d5.loss_mask: 0.9052, decode.d5.loss_dice: 1.3090, decode.d6.loss_cls: 1.1288, decode.d6.loss_mask: 0.9056, decode.d6.loss_dice: 1.3052, decode.d7.loss_cls: 1.1232, decode.d7.loss_mask: 0.9055, decode.d7.loss_dice: 1.3067, decode.d8.loss_cls: 1.1260, decode.d8.loss_mask: 0.9058, decode.d8.loss_dice: 1.3117, loss: 34.9617, grad_norm: 58.2983 2023-11-11 23:20:32,346 - mmseg - INFO - Iter [3900/160000] lr: 9.756e-05, eta: 23:29:56, time: 0.487, data_time: 0.012, memory: 41146, decode.loss_cls: 1.0628, decode.loss_mask: 0.9061, decode.loss_dice: 1.2655, decode.d0.loss_cls: 1.9862, decode.d0.loss_mask: 0.9521, decode.d0.loss_dice: 1.4929, decode.d1.loss_cls: 1.1979, decode.d1.loss_mask: 0.9405, decode.d1.loss_dice: 1.3413, decode.d2.loss_cls: 1.1013, decode.d2.loss_mask: 0.9116, decode.d2.loss_dice: 1.2919, decode.d3.loss_cls: 1.0815, decode.d3.loss_mask: 0.9050, decode.d3.loss_dice: 1.2659, decode.d4.loss_cls: 1.0737, decode.d4.loss_mask: 0.9048, decode.d4.loss_dice: 1.2684, decode.d5.loss_cls: 1.0687, decode.d5.loss_mask: 0.9058, decode.d5.loss_dice: 1.2660, decode.d6.loss_cls: 1.0744, decode.d6.loss_mask: 0.9029, decode.d6.loss_dice: 1.2555, decode.d7.loss_cls: 1.0683, decode.d7.loss_mask: 0.9052, decode.d7.loss_dice: 1.2578, decode.d8.loss_cls: 1.0646, decode.d8.loss_mask: 0.9065, decode.d8.loss_dice: 1.2610, loss: 33.8862, grad_norm: 60.4186 2023-11-11 23:20:56,618 - mmseg - INFO - Iter [3950/160000] lr: 9.753e-05, eta: 23:27:37, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 1.0655, decode.loss_mask: 0.8584, decode.loss_dice: 1.2891, decode.d0.loss_cls: 1.9985, decode.d0.loss_mask: 0.9065, decode.d0.loss_dice: 1.5249, decode.d1.loss_cls: 1.2323, decode.d1.loss_mask: 0.8829, decode.d1.loss_dice: 1.3680, decode.d2.loss_cls: 1.1200, decode.d2.loss_mask: 0.8658, decode.d2.loss_dice: 1.3120, decode.d3.loss_cls: 1.0937, decode.d3.loss_mask: 0.8608, decode.d3.loss_dice: 1.2913, decode.d4.loss_cls: 1.0914, decode.d4.loss_mask: 0.8612, decode.d4.loss_dice: 1.3002, decode.d5.loss_cls: 1.0789, decode.d5.loss_mask: 0.8596, decode.d5.loss_dice: 1.2844, decode.d6.loss_cls: 1.0689, decode.d6.loss_mask: 0.8501, decode.d6.loss_dice: 1.2744, decode.d7.loss_cls: 1.0558, decode.d7.loss_mask: 0.8567, decode.d7.loss_dice: 1.2833, decode.d8.loss_cls: 1.0551, decode.d8.loss_mask: 0.8564, decode.d8.loss_dice: 1.2887, loss: 33.7348, grad_norm: 57.2173 2023-11-11 23:21:21,056 - mmseg - INFO - Saving checkpoint at 4000 iterations 2023-11-11 23:21:24,760 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-11 23:21:24,760 - mmseg - INFO - Iter [4000/160000] lr: 9.750e-05, eta: 23:27:52, time: 0.563, data_time: 0.014, memory: 41146, decode.loss_cls: 1.0841, decode.loss_mask: 0.8601, decode.loss_dice: 1.2417, decode.d0.loss_cls: 2.0007, decode.d0.loss_mask: 0.9123, decode.d0.loss_dice: 1.4886, decode.d1.loss_cls: 1.2493, decode.d1.loss_mask: 0.8873, decode.d1.loss_dice: 1.3265, decode.d2.loss_cls: 1.1475, decode.d2.loss_mask: 0.8678, decode.d2.loss_dice: 1.2738, decode.d3.loss_cls: 1.1047, decode.d3.loss_mask: 0.8722, decode.d3.loss_dice: 1.2502, decode.d4.loss_cls: 1.0924, decode.d4.loss_mask: 0.8677, decode.d4.loss_dice: 1.2566, decode.d5.loss_cls: 1.0960, decode.d5.loss_mask: 0.8650, decode.d5.loss_dice: 1.2599, decode.d6.loss_cls: 1.0887, decode.d6.loss_mask: 0.8638, decode.d6.loss_dice: 1.2430, decode.d7.loss_cls: 1.0849, decode.d7.loss_mask: 0.8621, decode.d7.loss_dice: 1.2447, decode.d8.loss_cls: 1.0797, decode.d8.loss_mask: 0.8593, decode.d8.loss_dice: 1.2365, loss: 33.5673, grad_norm: 58.2643 2023-11-11 23:21:47,648 - mmseg - INFO - per class results: 2023-11-11 23:21:47,654 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 74.32 | 85.12 | | building | 76.65 | 91.48 | | sky | 94.13 | 97.38 | | floor | 79.94 | 89.54 | | tree | 73.57 | 84.41 | | ceiling | 82.09 | 88.34 | | road | 75.8 | 90.95 | | bed | 83.5 | 94.34 | | windowpane | 55.03 | 80.35 | | grass | 50.64 | 60.98 | | cabinet | 52.22 | 81.2 | | sidewalk | 57.63 | 74.7 | | person | 78.91 | 89.38 | | earth | 30.74 | 42.53 | | door | 36.35 | 70.16 | | table | 46.86 | 69.41 | | mountain | 53.34 | 76.58 | | plant | 51.95 | 74.89 | | curtain | 70.06 | 81.1 | | chair | 50.76 | 71.65 | | car | 80.44 | 92.1 | | water | 40.08 | 52.38 | | painting | 55.44 | 88.67 | | sofa | 53.73 | 68.39 | | shelf | 34.34 | 53.6 | | house | 9.34 | 10.11 | | sea | 47.2 | 95.42 | | mirror | 53.68 | 60.21 | | rug | 61.2 | 70.68 | | field | 14.85 | 45.26 | | armchair | 33.17 | 57.6 | | seat | 39.81 | 57.13 | | fence | 27.89 | 42.89 | | desk | 17.2 | 39.58 | | rock | 32.92 | 38.02 | | wardrobe | 0.16 | 0.16 | | lamp | 62.91 | 71.49 | | bathtub | 74.29 | 83.36 | | railing | 31.05 | 38.55 | | cushion | 49.89 | 64.43 | | base | 0.0 | 0.0 | | box | 15.43 | 31.35 | | column | 41.5 | 62.89 | | signboard | 34.6 | 58.98 | | chest of drawers | 16.69 | 21.0 | | counter | 20.48 | 26.83 | | sand | 29.85 | 41.1 | | sink | 65.0 | 86.11 | | skyscraper | 17.74 | 18.71 | | fireplace | 57.07 | 75.58 | | refrigerator | 50.15 | 70.2 | | grandstand | 0.24 | 0.24 | | path | 5.31 | 5.91 | | stairs | 14.1 | 15.33 | | runway | 0.0 | 0.0 | | case | 23.97 | 27.99 | | pool table | 82.65 | 95.91 | | pillow | 45.04 | 54.07 | | screen door | 0.55 | 0.55 | | stairway | 20.81 | 33.56 | | river | 0.0 | 0.0 | | bridge | 12.49 | 13.09 | | bookcase | 13.88 | 17.38 | | blind | 0.0 | 0.0 | | coffee table | 44.66 | 63.99 | | toilet | 81.34 | 90.28 | | flower | 23.82 | 33.55 | | book | 45.77 | 74.72 | | hill | 1.02 | 1.02 | | bench | 9.51 | 10.36 | | countertop | 42.83 | 55.49 | | stove | 46.74 | 86.43 | | palm | 48.96 | 66.43 | | kitchen island | 8.01 | 8.43 | | computer | 59.62 | 79.5 | | swivel chair | 10.54 | 12.24 | | boat | 36.96 | 77.84 | | bar | 0.0 | 0.0 | | arcade machine | 0.0 | 0.0 | | hovel | 0.0 | 0.0 | | bus | 0.0 | 0.0 | | towel | 43.05 | 64.75 | | light | 43.4 | 77.11 | | truck | 4.89 | 11.03 | | tower | 0.39 | 0.39 | | chandelier | 52.92 | 66.36 | | awning | 25.31 | 33.41 | | streetlight | 24.33 | 31.81 | | booth | 0.0 | 0.0 | | television receiver | 54.97 | 75.27 | | airplane | 35.31 | 57.31 | | dirt track | 0.0 | 0.0 | | apparel | 15.27 | 17.36 | | pole | 25.51 | 60.06 | | land | 0.0 | 0.0 | | bannister | 8.03 | 13.39 | | escalator | 0.0 | 0.0 | | ottoman | 27.59 | 33.61 | | bottle | 16.44 | 38.91 | | buffet | 0.0 | 0.0 | | poster | 0.0 | 0.0 | | stage | 0.0 | 0.0 | | van | 34.74 | 60.82 | | ship | 0.0 | 0.0 | | fountain | 0.0 | 0.0 | | conveyer belt | 0.0 | 0.0 | | canopy | 0.0 | 0.0 | | washer | 37.91 | 40.31 | | plaything | 4.12 | 5.13 | | swimming pool | 0.0 | 0.0 | | stool | 9.81 | 11.6 | | barrel | 0.0 | 0.0 | | basket | 16.24 | 29.84 | | waterfall | 0.01 | 0.01 | | tent | 0.0 | 0.0 | | bag | 9.19 | 10.85 | | minibike | 66.02 | 78.06 | | cradle | 0.34 | 0.34 | | oven | 0.0 | 0.0 | | ball | 0.0 | 0.0 | | food | 30.55 | 32.87 | | step | 0.0 | 0.0 | | tank | 0.0 | 0.0 | | trade name | 15.67 | 22.22 | | microwave | 65.28 | 94.79 | | pot | 24.07 | 25.27 | | animal | 0.19 | 0.19 | | bicycle | 50.54 | 76.9 | | lake | 0.0 | 0.0 | | dishwasher | 40.22 | 44.66 | | screen | 0.1 | 0.1 | | blanket | 0.0 | 0.0 | | sculpture | 0.0 | 0.0 | | hood | 33.83 | 38.67 | | sconce | 24.11 | 33.48 | | vase | 30.92 | 57.77 | | traffic light | 12.54 | 17.82 | | tray | 0.25 | 0.26 | | ashcan | 37.24 | 60.85 | | fan | 11.65 | 11.84 | | pier | 0.0 | 0.0 | | crt screen | 0.0 | 0.0 | | plate | 34.65 | 72.14 | | monitor | 0.0 | 0.0 | | bulletin board | 0.0 | 0.0 | | shower | 0.0 | 0.0 | | radiator | 13.26 | 13.47 | | glass | 7.4 | 7.77 | | clock | 19.73 | 25.65 | | flag | 24.76 | 29.79 | +---------------------+-------+-------+ 2023-11-11 23:21:47,654 - mmseg - INFO - Summary: 2023-11-11 23:21:47,654 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 77.5 | 27.69 | 37.51 | +------+-------+-------+ 2023-11-11 23:21:47,743 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_2000.pth was removed 2023-11-11 23:21:51,354 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_4000.pth. 2023-11-11 23:21:51,354 - mmseg - INFO - Best mIoU is 0.2769 at 4000 iter. 2023-11-11 23:21:51,354 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-11 23:21:51,355 - mmseg - INFO - Iter(val) [250] aAcc: 0.7750, mIoU: 0.2769, mAcc: 0.3751, IoU.wall: 0.7432, IoU.building: 0.7665, IoU.sky: 0.9413, IoU.floor: 0.7994, IoU.tree: 0.7357, IoU.ceiling: 0.8209, IoU.road: 0.7580, IoU.bed : 0.8350, IoU.windowpane: 0.5503, IoU.grass: 0.5064, IoU.cabinet: 0.5222, IoU.sidewalk: 0.5763, IoU.person: 0.7891, IoU.earth: 0.3074, IoU.door: 0.3635, IoU.table: 0.4686, IoU.mountain: 0.5334, IoU.plant: 0.5195, IoU.curtain: 0.7006, IoU.chair: 0.5076, IoU.car: 0.8044, IoU.water: 0.4008, IoU.painting: 0.5544, IoU.sofa: 0.5373, IoU.shelf: 0.3434, IoU.house: 0.0934, IoU.sea: 0.4720, IoU.mirror: 0.5368, IoU.rug: 0.6120, IoU.field: 0.1485, IoU.armchair: 0.3317, IoU.seat: 0.3981, IoU.fence: 0.2789, IoU.desk: 0.1720, IoU.rock: 0.3292, IoU.wardrobe: 0.0016, IoU.lamp: 0.6291, IoU.bathtub: 0.7429, IoU.railing: 0.3105, IoU.cushion: 0.4989, IoU.base: 0.0000, IoU.box: 0.1543, IoU.column: 0.4150, IoU.signboard: 0.3460, IoU.chest of drawers: 0.1669, IoU.counter: 0.2048, IoU.sand: 0.2985, IoU.sink: 0.6500, IoU.skyscraper: 0.1774, IoU.fireplace: 0.5707, IoU.refrigerator: 0.5015, IoU.grandstand: 0.0024, IoU.path: 0.0531, IoU.stairs: 0.1410, IoU.runway: 0.0000, IoU.case: 0.2397, IoU.pool table: 0.8265, IoU.pillow: 0.4504, IoU.screen door: 0.0055, IoU.stairway: 0.2081, IoU.river: 0.0000, IoU.bridge: 0.1249, IoU.bookcase: 0.1388, IoU.blind: 0.0000, IoU.coffee table: 0.4466, IoU.toilet: 0.8134, IoU.flower: 0.2382, IoU.book: 0.4577, IoU.hill: 0.0102, IoU.bench: 0.0951, IoU.countertop: 0.4283, IoU.stove: 0.4674, IoU.palm: 0.4896, IoU.kitchen island: 0.0801, IoU.computer: 0.5962, IoU.swivel chair: 0.1054, IoU.boat: 0.3696, IoU.bar: 0.0000, IoU.arcade machine: 0.0000, IoU.hovel: 0.0000, IoU.bus: 0.0000, IoU.towel: 0.4305, IoU.light: 0.4340, IoU.truck: 0.0489, IoU.tower: 0.0039, IoU.chandelier: 0.5292, IoU.awning: 0.2531, IoU.streetlight: 0.2433, IoU.booth: 0.0000, IoU.television receiver: 0.5497, IoU.airplane: 0.3531, IoU.dirt track: 0.0000, IoU.apparel: 0.1527, IoU.pole: 0.2551, IoU.land: 0.0000, IoU.bannister: 0.0803, IoU.escalator: 0.0000, IoU.ottoman: 0.2759, IoU.bottle: 0.1644, IoU.buffet: 0.0000, IoU.poster: 0.0000, IoU.stage: 0.0000, IoU.van: 0.3474, IoU.ship: 0.0000, IoU.fountain: 0.0000, IoU.conveyer belt: 0.0000, IoU.canopy: 0.0000, IoU.washer: 0.3791, IoU.plaything: 0.0412, IoU.swimming pool: 0.0000, IoU.stool: 0.0981, IoU.barrel: 0.0000, IoU.basket: 0.1624, IoU.waterfall: 0.0001, IoU.tent: 0.0000, IoU.bag: 0.0919, IoU.minibike: 0.6602, IoU.cradle: 0.0034, IoU.oven: 0.0000, IoU.ball: 0.0000, IoU.food: 0.3055, IoU.step: 0.0000, IoU.tank: 0.0000, IoU.trade name: 0.1567, IoU.microwave: 0.6528, IoU.pot: 0.2407, IoU.animal: 0.0019, IoU.bicycle: 0.5054, IoU.lake: 0.0000, IoU.dishwasher: 0.4022, IoU.screen: 0.0010, IoU.blanket: 0.0000, IoU.sculpture: 0.0000, IoU.hood: 0.3383, IoU.sconce: 0.2411, IoU.vase: 0.3092, IoU.traffic light: 0.1254, IoU.tray: 0.0025, IoU.ashcan: 0.3724, IoU.fan: 0.1165, IoU.pier: 0.0000, IoU.crt screen: 0.0000, IoU.plate: 0.3465, IoU.monitor: 0.0000, IoU.bulletin board: 0.0000, IoU.shower: 0.0000, IoU.radiator: 0.1326, IoU.glass: 0.0740, IoU.clock: 0.1973, IoU.flag: 0.2476, Acc.wall: 0.8512, Acc.building: 0.9148, Acc.sky: 0.9738, Acc.floor: 0.8954, Acc.tree: 0.8441, Acc.ceiling: 0.8834, Acc.road: 0.9095, Acc.bed : 0.9434, Acc.windowpane: 0.8035, Acc.grass: 0.6098, Acc.cabinet: 0.8120, Acc.sidewalk: 0.7470, Acc.person: 0.8938, Acc.earth: 0.4253, Acc.door: 0.7016, Acc.table: 0.6941, Acc.mountain: 0.7658, Acc.plant: 0.7489, Acc.curtain: 0.8110, Acc.chair: 0.7165, Acc.car: 0.9210, Acc.water: 0.5238, Acc.painting: 0.8867, Acc.sofa: 0.6839, Acc.shelf: 0.5360, Acc.house: 0.1011, Acc.sea: 0.9542, Acc.mirror: 0.6021, Acc.rug: 0.7068, Acc.field: 0.4526, Acc.armchair: 0.5760, Acc.seat: 0.5713, Acc.fence: 0.4289, Acc.desk: 0.3958, Acc.rock: 0.3802, Acc.wardrobe: 0.0016, Acc.lamp: 0.7149, Acc.bathtub: 0.8336, Acc.railing: 0.3855, Acc.cushion: 0.6443, Acc.base: 0.0000, Acc.box: 0.3135, Acc.column: 0.6289, Acc.signboard: 0.5898, Acc.chest of drawers: 0.2100, Acc.counter: 0.2683, Acc.sand: 0.4110, Acc.sink: 0.8611, Acc.skyscraper: 0.1871, Acc.fireplace: 0.7558, Acc.refrigerator: 0.7020, Acc.grandstand: 0.0024, Acc.path: 0.0591, Acc.stairs: 0.1533, Acc.runway: 0.0000, Acc.case: 0.2799, Acc.pool table: 0.9591, Acc.pillow: 0.5407, Acc.screen door: 0.0055, Acc.stairway: 0.3356, Acc.river: 0.0000, Acc.bridge: 0.1309, Acc.bookcase: 0.1738, Acc.blind: 0.0000, Acc.coffee table: 0.6399, Acc.toilet: 0.9028, Acc.flower: 0.3355, Acc.book: 0.7472, Acc.hill: 0.0102, Acc.bench: 0.1036, Acc.countertop: 0.5549, Acc.stove: 0.8643, Acc.palm: 0.6643, Acc.kitchen island: 0.0843, Acc.computer: 0.7950, Acc.swivel chair: 0.1224, Acc.boat: 0.7784, Acc.bar: 0.0000, Acc.arcade machine: 0.0000, Acc.hovel: 0.0000, Acc.bus: 0.0000, Acc.towel: 0.6475, Acc.light: 0.7711, Acc.truck: 0.1103, Acc.tower: 0.0039, Acc.chandelier: 0.6636, Acc.awning: 0.3341, Acc.streetlight: 0.3181, Acc.booth: 0.0000, Acc.television receiver: 0.7527, Acc.airplane: 0.5731, Acc.dirt track: 0.0000, Acc.apparel: 0.1736, Acc.pole: 0.6006, Acc.land: 0.0000, Acc.bannister: 0.1339, Acc.escalator: 0.0000, Acc.ottoman: 0.3361, Acc.bottle: 0.3891, Acc.buffet: 0.0000, Acc.poster: 0.0000, Acc.stage: 0.0000, Acc.van: 0.6082, Acc.ship: 0.0000, Acc.fountain: 0.0000, Acc.conveyer belt: 0.0000, Acc.canopy: 0.0000, Acc.washer: 0.4031, Acc.plaything: 0.0513, Acc.swimming pool: 0.0000, Acc.stool: 0.1160, Acc.barrel: 0.0000, Acc.basket: 0.2984, Acc.waterfall: 0.0001, Acc.tent: 0.0000, Acc.bag: 0.1085, Acc.minibike: 0.7806, Acc.cradle: 0.0034, Acc.oven: 0.0000, Acc.ball: 0.0000, Acc.food: 0.3287, Acc.step: 0.0000, Acc.tank: 0.0000, Acc.trade name: 0.2222, Acc.microwave: 0.9479, Acc.pot: 0.2527, Acc.animal: 0.0019, Acc.bicycle: 0.7690, Acc.lake: 0.0000, Acc.dishwasher: 0.4466, Acc.screen: 0.0010, Acc.blanket: 0.0000, Acc.sculpture: 0.0000, Acc.hood: 0.3867, Acc.sconce: 0.3348, Acc.vase: 0.5777, Acc.traffic light: 0.1782, Acc.tray: 0.0026, Acc.ashcan: 0.6085, Acc.fan: 0.1184, Acc.pier: 0.0000, Acc.crt screen: 0.0000, Acc.plate: 0.7214, Acc.monitor: 0.0000, Acc.bulletin board: 0.0000, Acc.shower: 0.0000, Acc.radiator: 0.1347, Acc.glass: 0.0777, Acc.clock: 0.2565, Acc.flag: 0.2979 2023-11-11 23:22:15,735 - mmseg - INFO - Iter [4050/160000] lr: 9.747e-05, eta: 23:42:45, time: 1.019, data_time: 0.544, memory: 41146, decode.loss_cls: 1.0747, decode.loss_mask: 0.8879, decode.loss_dice: 1.2602, decode.d0.loss_cls: 1.9818, decode.d0.loss_mask: 0.9403, decode.d0.loss_dice: 1.5069, decode.d1.loss_cls: 1.2260, decode.d1.loss_mask: 0.9047, decode.d1.loss_dice: 1.3313, decode.d2.loss_cls: 1.1152, decode.d2.loss_mask: 0.8984, decode.d2.loss_dice: 1.2731, decode.d3.loss_cls: 1.0921, decode.d3.loss_mask: 0.8835, decode.d3.loss_dice: 1.2602, decode.d4.loss_cls: 1.0846, decode.d4.loss_mask: 0.8852, decode.d4.loss_dice: 1.2584, decode.d5.loss_cls: 1.0849, decode.d5.loss_mask: 0.8869, decode.d5.loss_dice: 1.2526, decode.d6.loss_cls: 1.0742, decode.d6.loss_mask: 0.8833, decode.d6.loss_dice: 1.2454, decode.d7.loss_cls: 1.0677, decode.d7.loss_mask: 0.8914, decode.d7.loss_dice: 1.2490, decode.d8.loss_cls: 1.0641, decode.d8.loss_mask: 0.8959, decode.d8.loss_dice: 1.2579, loss: 33.7179, grad_norm: 59.4869 2023-11-11 23:22:40,009 - mmseg - INFO - Iter [4100/160000] lr: 9.744e-05, eta: 23:40:20, time: 0.485, data_time: 0.014, memory: 41146, decode.loss_cls: 1.0698, decode.loss_mask: 0.8497, decode.loss_dice: 1.2531, decode.d0.loss_cls: 1.9859, decode.d0.loss_mask: 0.9010, decode.d0.loss_dice: 1.5080, decode.d1.loss_cls: 1.2326, decode.d1.loss_mask: 0.8706, decode.d1.loss_dice: 1.3346, decode.d2.loss_cls: 1.1224, decode.d2.loss_mask: 0.8500, decode.d2.loss_dice: 1.2895, decode.d3.loss_cls: 1.0997, decode.d3.loss_mask: 0.8416, decode.d3.loss_dice: 1.2545, decode.d4.loss_cls: 1.0917, decode.d4.loss_mask: 0.8464, decode.d4.loss_dice: 1.2607, decode.d5.loss_cls: 1.0807, decode.d5.loss_mask: 0.8475, decode.d5.loss_dice: 1.2663, decode.d6.loss_cls: 1.0776, decode.d6.loss_mask: 0.8451, decode.d6.loss_dice: 1.2524, decode.d7.loss_cls: 1.0787, decode.d7.loss_mask: 0.8464, decode.d7.loss_dice: 1.2618, decode.d8.loss_cls: 1.0728, decode.d8.loss_mask: 0.8476, decode.d8.loss_dice: 1.2609, loss: 33.3994, grad_norm: 57.1586 2023-11-11 23:23:04,311 - mmseg - INFO - Iter [4150/160000] lr: 9.741e-05, eta: 23:37:59, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 1.0909, decode.loss_mask: 0.8695, decode.loss_dice: 1.2860, decode.d0.loss_cls: 1.9941, decode.d0.loss_mask: 0.9267, decode.d0.loss_dice: 1.5394, decode.d1.loss_cls: 1.2313, decode.d1.loss_mask: 0.8939, decode.d1.loss_dice: 1.3805, decode.d2.loss_cls: 1.1331, decode.d2.loss_mask: 0.8737, decode.d2.loss_dice: 1.3189, decode.d3.loss_cls: 1.1238, decode.d3.loss_mask: 0.8671, decode.d3.loss_dice: 1.2931, decode.d4.loss_cls: 1.1073, decode.d4.loss_mask: 0.8652, decode.d4.loss_dice: 1.2963, decode.d5.loss_cls: 1.1042, decode.d5.loss_mask: 0.8694, decode.d5.loss_dice: 1.2846, decode.d6.loss_cls: 1.0931, decode.d6.loss_mask: 0.8630, decode.d6.loss_dice: 1.2898, decode.d7.loss_cls: 1.1005, decode.d7.loss_mask: 0.8637, decode.d7.loss_dice: 1.2819, decode.d8.loss_cls: 1.0874, decode.d8.loss_mask: 0.8684, decode.d8.loss_dice: 1.2944, loss: 34.0913, grad_norm: 61.3032 2023-11-11 23:23:28,499 - mmseg - INFO - Iter [4200/160000] lr: 9.738e-05, eta: 23:35:36, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 1.0884, decode.loss_mask: 0.8475, decode.loss_dice: 1.2685, decode.d0.loss_cls: 2.0191, decode.d0.loss_mask: 0.9091, decode.d0.loss_dice: 1.5060, decode.d1.loss_cls: 1.2267, decode.d1.loss_mask: 0.8954, decode.d1.loss_dice: 1.3420, decode.d2.loss_cls: 1.1279, decode.d2.loss_mask: 0.8650, decode.d2.loss_dice: 1.2953, decode.d3.loss_cls: 1.1053, decode.d3.loss_mask: 0.8548, decode.d3.loss_dice: 1.2636, decode.d4.loss_cls: 1.0971, decode.d4.loss_mask: 0.8571, decode.d4.loss_dice: 1.2631, decode.d5.loss_cls: 1.0958, decode.d5.loss_mask: 0.8481, decode.d5.loss_dice: 1.2604, decode.d6.loss_cls: 1.0868, decode.d6.loss_mask: 0.8551, decode.d6.loss_dice: 1.2518, decode.d7.loss_cls: 1.0838, decode.d7.loss_mask: 0.8516, decode.d7.loss_dice: 1.2591, decode.d8.loss_cls: 1.0865, decode.d8.loss_mask: 0.8535, decode.d8.loss_dice: 1.2619, loss: 33.6263, grad_norm: 56.9403 2023-11-11 23:23:52,872 - mmseg - INFO - Iter [4250/160000] lr: 9.734e-05, eta: 23:33:24, time: 0.488, data_time: 0.014, memory: 41146, decode.loss_cls: 1.0860, decode.loss_mask: 0.8885, decode.loss_dice: 1.2882, decode.d0.loss_cls: 2.0219, decode.d0.loss_mask: 0.9305, decode.d0.loss_dice: 1.5280, decode.d1.loss_cls: 1.2389, decode.d1.loss_mask: 0.9049, decode.d1.loss_dice: 1.3736, decode.d2.loss_cls: 1.1437, decode.d2.loss_mask: 0.9003, decode.d2.loss_dice: 1.3053, decode.d3.loss_cls: 1.1160, decode.d3.loss_mask: 0.8841, decode.d3.loss_dice: 1.2986, decode.d4.loss_cls: 1.1068, decode.d4.loss_mask: 0.8826, decode.d4.loss_dice: 1.3005, decode.d5.loss_cls: 1.0997, decode.d5.loss_mask: 0.8865, decode.d5.loss_dice: 1.2968, decode.d6.loss_cls: 1.0998, decode.d6.loss_mask: 0.8858, decode.d6.loss_dice: 1.2883, decode.d7.loss_cls: 1.0927, decode.d7.loss_mask: 0.8928, decode.d7.loss_dice: 1.2948, decode.d8.loss_cls: 1.0924, decode.d8.loss_mask: 0.8905, decode.d8.loss_dice: 1.2949, loss: 34.3134, grad_norm: 58.3710 2023-11-11 23:24:17,505 - mmseg - INFO - Iter [4300/160000] lr: 9.731e-05, eta: 23:31:22, time: 0.493, data_time: 0.014, memory: 41146, decode.loss_cls: 1.0329, decode.loss_mask: 0.8508, decode.loss_dice: 1.2433, decode.d0.loss_cls: 1.9602, decode.d0.loss_mask: 0.8981, decode.d0.loss_dice: 1.4868, decode.d1.loss_cls: 1.1873, decode.d1.loss_mask: 0.8653, decode.d1.loss_dice: 1.3209, decode.d2.loss_cls: 1.0882, decode.d2.loss_mask: 0.8452, decode.d2.loss_dice: 1.2706, decode.d3.loss_cls: 1.0658, decode.d3.loss_mask: 0.8458, decode.d3.loss_dice: 1.2478, decode.d4.loss_cls: 1.0523, decode.d4.loss_mask: 0.8463, decode.d4.loss_dice: 1.2578, decode.d5.loss_cls: 1.0408, decode.d5.loss_mask: 0.8435, decode.d5.loss_dice: 1.2498, decode.d6.loss_cls: 1.0346, decode.d6.loss_mask: 0.8465, decode.d6.loss_dice: 1.2434, decode.d7.loss_cls: 1.0374, decode.d7.loss_mask: 0.8486, decode.d7.loss_dice: 1.2374, decode.d8.loss_cls: 1.0337, decode.d8.loss_mask: 0.8473, decode.d8.loss_dice: 1.2437, loss: 32.8720, grad_norm: 55.9618 2023-11-11 23:24:41,838 - mmseg - INFO - Iter [4350/160000] lr: 9.728e-05, eta: 23:29:13, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 1.0551, decode.loss_mask: 0.8647, decode.loss_dice: 1.2670, decode.d0.loss_cls: 1.9353, decode.d0.loss_mask: 0.9043, decode.d0.loss_dice: 1.4848, decode.d1.loss_cls: 1.2106, decode.d1.loss_mask: 0.8783, decode.d1.loss_dice: 1.3319, decode.d2.loss_cls: 1.1006, decode.d2.loss_mask: 0.8741, decode.d2.loss_dice: 1.2768, decode.d3.loss_cls: 1.0805, decode.d3.loss_mask: 0.8643, decode.d3.loss_dice: 1.2438, decode.d4.loss_cls: 1.0749, decode.d4.loss_mask: 0.8602, decode.d4.loss_dice: 1.2573, decode.d5.loss_cls: 1.0623, decode.d5.loss_mask: 0.8667, decode.d5.loss_dice: 1.2546, decode.d6.loss_cls: 1.0639, decode.d6.loss_mask: 0.8589, decode.d6.loss_dice: 1.2475, decode.d7.loss_cls: 1.0613, decode.d7.loss_mask: 0.8609, decode.d7.loss_dice: 1.2517, decode.d8.loss_cls: 1.0584, decode.d8.loss_mask: 0.8630, decode.d8.loss_dice: 1.2518, loss: 33.2655, grad_norm: 57.6864 2023-11-11 23:25:06,135 - mmseg - INFO - Iter [4400/160000] lr: 9.725e-05, eta: 23:27:04, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 1.0399, decode.loss_mask: 0.8565, decode.loss_dice: 1.2337, decode.d0.loss_cls: 1.9401, decode.d0.loss_mask: 0.9106, decode.d0.loss_dice: 1.4903, decode.d1.loss_cls: 1.1896, decode.d1.loss_mask: 0.8832, decode.d1.loss_dice: 1.3348, decode.d2.loss_cls: 1.0950, decode.d2.loss_mask: 0.8579, decode.d2.loss_dice: 1.2648, decode.d3.loss_cls: 1.0662, decode.d3.loss_mask: 0.8555, decode.d3.loss_dice: 1.2393, decode.d4.loss_cls: 1.0627, decode.d4.loss_mask: 0.8552, decode.d4.loss_dice: 1.2475, decode.d5.loss_cls: 1.0516, decode.d5.loss_mask: 0.8576, decode.d5.loss_dice: 1.2413, decode.d6.loss_cls: 1.0398, decode.d6.loss_mask: 0.8611, decode.d6.loss_dice: 1.2283, decode.d7.loss_cls: 1.0358, decode.d7.loss_mask: 0.8578, decode.d7.loss_dice: 1.2365, decode.d8.loss_cls: 1.0339, decode.d8.loss_mask: 0.8572, decode.d8.loss_dice: 1.2362, loss: 32.9598, grad_norm: 54.4269 2023-11-11 23:25:30,540 - mmseg - INFO - Iter [4450/160000] lr: 9.722e-05, eta: 23:25:02, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 1.1098, decode.loss_mask: 0.8799, decode.loss_dice: 1.2951, decode.d0.loss_cls: 1.9948, decode.d0.loss_mask: 0.9337, decode.d0.loss_dice: 1.5490, decode.d1.loss_cls: 1.2451, decode.d1.loss_mask: 0.9142, decode.d1.loss_dice: 1.3804, decode.d2.loss_cls: 1.1615, decode.d2.loss_mask: 0.8932, decode.d2.loss_dice: 1.3195, decode.d3.loss_cls: 1.1269, decode.d3.loss_mask: 0.8843, decode.d3.loss_dice: 1.3069, decode.d4.loss_cls: 1.1204, decode.d4.loss_mask: 0.8846, decode.d4.loss_dice: 1.3135, decode.d5.loss_cls: 1.1078, decode.d5.loss_mask: 0.8812, decode.d5.loss_dice: 1.3092, decode.d6.loss_cls: 1.1027, decode.d6.loss_mask: 0.8868, decode.d6.loss_dice: 1.2985, decode.d7.loss_cls: 1.1010, decode.d7.loss_mask: 0.8858, decode.d7.loss_dice: 1.2975, decode.d8.loss_cls: 1.1034, decode.d8.loss_mask: 0.8848, decode.d8.loss_dice: 1.2988, loss: 34.4702, grad_norm: 56.3406 2023-11-11 23:25:54,876 - mmseg - INFO - Iter [4500/160000] lr: 9.719e-05, eta: 23:22:59, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 1.0329, decode.loss_mask: 0.8344, decode.loss_dice: 1.2451, decode.d0.loss_cls: 1.9485, decode.d0.loss_mask: 0.8744, decode.d0.loss_dice: 1.4771, decode.d1.loss_cls: 1.1626, decode.d1.loss_mask: 0.8566, decode.d1.loss_dice: 1.3131, decode.d2.loss_cls: 1.0784, decode.d2.loss_mask: 0.8398, decode.d2.loss_dice: 1.2585, decode.d3.loss_cls: 1.0557, decode.d3.loss_mask: 0.8311, decode.d3.loss_dice: 1.2365, decode.d4.loss_cls: 1.0505, decode.d4.loss_mask: 0.8325, decode.d4.loss_dice: 1.2409, decode.d5.loss_cls: 1.0487, decode.d5.loss_mask: 0.8311, decode.d5.loss_dice: 1.2380, decode.d6.loss_cls: 1.0391, decode.d6.loss_mask: 0.8317, decode.d6.loss_dice: 1.2414, decode.d7.loss_cls: 1.0383, decode.d7.loss_mask: 0.8373, decode.d7.loss_dice: 1.2481, decode.d8.loss_cls: 1.0348, decode.d8.loss_mask: 0.8357, decode.d8.loss_dice: 1.2397, loss: 32.6324, grad_norm: 58.3834 2023-11-11 23:26:19,276 - mmseg - INFO - Iter [4550/160000] lr: 9.716e-05, eta: 23:21:01, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 1.0392, decode.loss_mask: 0.8488, decode.loss_dice: 1.2284, decode.d0.loss_cls: 1.9641, decode.d0.loss_mask: 0.8907, decode.d0.loss_dice: 1.4626, decode.d1.loss_cls: 1.1757, decode.d1.loss_mask: 0.8668, decode.d1.loss_dice: 1.3146, decode.d2.loss_cls: 1.0860, decode.d2.loss_mask: 0.8454, decode.d2.loss_dice: 1.2538, decode.d3.loss_cls: 1.0660, decode.d3.loss_mask: 0.8464, decode.d3.loss_dice: 1.2281, decode.d4.loss_cls: 1.0587, decode.d4.loss_mask: 0.8441, decode.d4.loss_dice: 1.2296, decode.d5.loss_cls: 1.0584, decode.d5.loss_mask: 0.8399, decode.d5.loss_dice: 1.2292, decode.d6.loss_cls: 1.0539, decode.d6.loss_mask: 0.8430, decode.d6.loss_dice: 1.2216, decode.d7.loss_cls: 1.0492, decode.d7.loss_mask: 0.8406, decode.d7.loss_dice: 1.2261, decode.d8.loss_cls: 1.0431, decode.d8.loss_mask: 0.8426, decode.d8.loss_dice: 1.2313, loss: 32.7278, grad_norm: 54.7132 2023-11-11 23:26:43,676 - mmseg - INFO - Iter [4600/160000] lr: 9.713e-05, eta: 23:19:05, time: 0.488, data_time: 0.014, memory: 41146, decode.loss_cls: 1.0393, decode.loss_mask: 0.8357, decode.loss_dice: 1.2675, decode.d0.loss_cls: 1.9524, decode.d0.loss_mask: 0.8850, decode.d0.loss_dice: 1.5227, decode.d1.loss_cls: 1.1854, decode.d1.loss_mask: 0.8691, decode.d1.loss_dice: 1.3575, decode.d2.loss_cls: 1.0953, decode.d2.loss_mask: 0.8419, decode.d2.loss_dice: 1.3027, decode.d3.loss_cls: 1.0633, decode.d3.loss_mask: 0.8347, decode.d3.loss_dice: 1.2806, decode.d4.loss_cls: 1.0598, decode.d4.loss_mask: 0.8349, decode.d4.loss_dice: 1.2781, decode.d5.loss_cls: 1.0586, decode.d5.loss_mask: 0.8320, decode.d5.loss_dice: 1.2690, decode.d6.loss_cls: 1.0480, decode.d6.loss_mask: 0.8298, decode.d6.loss_dice: 1.2659, decode.d7.loss_cls: 1.0464, decode.d7.loss_mask: 0.8342, decode.d7.loss_dice: 1.2695, decode.d8.loss_cls: 1.0457, decode.d8.loss_mask: 0.8381, decode.d8.loss_dice: 1.2694, loss: 33.1122, grad_norm: 54.8294 2023-11-11 23:27:08,041 - mmseg - INFO - Iter [4650/160000] lr: 9.709e-05, eta: 23:17:10, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9882, decode.loss_mask: 0.8817, decode.loss_dice: 1.2486, decode.d0.loss_cls: 1.8819, decode.d0.loss_mask: 0.9299, decode.d0.loss_dice: 1.4559, decode.d1.loss_cls: 1.1216, decode.d1.loss_mask: 0.9006, decode.d1.loss_dice: 1.3152, decode.d2.loss_cls: 1.0393, decode.d2.loss_mask: 0.8789, decode.d2.loss_dice: 1.2546, decode.d3.loss_cls: 1.0184, decode.d3.loss_mask: 0.8798, decode.d3.loss_dice: 1.2431, decode.d4.loss_cls: 1.0069, decode.d4.loss_mask: 0.8829, decode.d4.loss_dice: 1.2508, decode.d5.loss_cls: 0.9989, decode.d5.loss_mask: 0.8799, decode.d5.loss_dice: 1.2465, decode.d6.loss_cls: 0.9962, decode.d6.loss_mask: 0.8853, decode.d6.loss_dice: 1.2387, decode.d7.loss_cls: 1.0035, decode.d7.loss_mask: 0.8838, decode.d7.loss_dice: 1.2496, decode.d8.loss_cls: 0.9970, decode.d8.loss_mask: 0.8826, decode.d8.loss_dice: 1.2455, loss: 32.6859, grad_norm: 59.1048 2023-11-11 23:27:32,765 - mmseg - INFO - Iter [4700/160000] lr: 9.706e-05, eta: 23:15:28, time: 0.494, data_time: 0.014, memory: 41146, decode.loss_cls: 1.0071, decode.loss_mask: 0.8332, decode.loss_dice: 1.2539, decode.d0.loss_cls: 1.8809, decode.d0.loss_mask: 0.8794, decode.d0.loss_dice: 1.4683, decode.d1.loss_cls: 1.1377, decode.d1.loss_mask: 0.8637, decode.d1.loss_dice: 1.3286, decode.d2.loss_cls: 1.0490, decode.d2.loss_mask: 0.8428, decode.d2.loss_dice: 1.2694, decode.d3.loss_cls: 1.0293, decode.d3.loss_mask: 0.8341, decode.d3.loss_dice: 1.2463, decode.d4.loss_cls: 1.0232, decode.d4.loss_mask: 0.8328, decode.d4.loss_dice: 1.2501, decode.d5.loss_cls: 1.0215, decode.d5.loss_mask: 0.8319, decode.d5.loss_dice: 1.2474, decode.d6.loss_cls: 1.0117, decode.d6.loss_mask: 0.8347, decode.d6.loss_dice: 1.2430, decode.d7.loss_cls: 1.0002, decode.d7.loss_mask: 0.8359, decode.d7.loss_dice: 1.2519, decode.d8.loss_cls: 1.0035, decode.d8.loss_mask: 0.8375, decode.d8.loss_dice: 1.2524, loss: 32.4016, grad_norm: 56.8377 2023-11-11 23:27:56,947 - mmseg - INFO - Iter [4750/160000] lr: 9.703e-05, eta: 23:13:30, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 1.0059, decode.loss_mask: 0.9060, decode.loss_dice: 1.2458, decode.d0.loss_cls: 1.8933, decode.d0.loss_mask: 0.9362, decode.d0.loss_dice: 1.4717, decode.d1.loss_cls: 1.1501, decode.d1.loss_mask: 0.9170, decode.d1.loss_dice: 1.3310, decode.d2.loss_cls: 1.0477, decode.d2.loss_mask: 0.9033, decode.d2.loss_dice: 1.2741, decode.d3.loss_cls: 1.0241, decode.d3.loss_mask: 0.8926, decode.d3.loss_dice: 1.2506, decode.d4.loss_cls: 1.0226, decode.d4.loss_mask: 0.8961, decode.d4.loss_dice: 1.2547, decode.d5.loss_cls: 1.0151, decode.d5.loss_mask: 0.8920, decode.d5.loss_dice: 1.2392, decode.d6.loss_cls: 1.0142, decode.d6.loss_mask: 0.8937, decode.d6.loss_dice: 1.2339, decode.d7.loss_cls: 1.0132, decode.d7.loss_mask: 0.8946, decode.d7.loss_dice: 1.2457, decode.d8.loss_cls: 1.0119, decode.d8.loss_mask: 0.8971, decode.d8.loss_dice: 1.2405, loss: 33.0137, grad_norm: 57.2615 2023-11-11 23:28:21,313 - mmseg - INFO - Iter [4800/160000] lr: 9.700e-05, eta: 23:11:41, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 1.0422, decode.loss_mask: 0.8349, decode.loss_dice: 1.2842, decode.d0.loss_cls: 1.9682, decode.d0.loss_mask: 0.8767, decode.d0.loss_dice: 1.5209, decode.d1.loss_cls: 1.1831, decode.d1.loss_mask: 0.8617, decode.d1.loss_dice: 1.3578, decode.d2.loss_cls: 1.0823, decode.d2.loss_mask: 0.8419, decode.d2.loss_dice: 1.3057, decode.d3.loss_cls: 1.0585, decode.d3.loss_mask: 0.8356, decode.d3.loss_dice: 1.2782, decode.d4.loss_cls: 1.0542, decode.d4.loss_mask: 0.8378, decode.d4.loss_dice: 1.2791, decode.d5.loss_cls: 1.0414, decode.d5.loss_mask: 0.8319, decode.d5.loss_dice: 1.2831, decode.d6.loss_cls: 1.0422, decode.d6.loss_mask: 0.8300, decode.d6.loss_dice: 1.2718, decode.d7.loss_cls: 1.0439, decode.d7.loss_mask: 0.8322, decode.d7.loss_dice: 1.2785, decode.d8.loss_cls: 1.0362, decode.d8.loss_mask: 0.8328, decode.d8.loss_dice: 1.2821, loss: 33.1091, grad_norm: 53.5082 2023-11-11 23:28:45,551 - mmseg - INFO - Iter [4850/160000] lr: 9.697e-05, eta: 23:09:49, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9923, decode.loss_mask: 0.8431, decode.loss_dice: 1.2512, decode.d0.loss_cls: 1.8897, decode.d0.loss_mask: 0.8880, decode.d0.loss_dice: 1.4693, decode.d1.loss_cls: 1.1275, decode.d1.loss_mask: 0.8611, decode.d1.loss_dice: 1.3242, decode.d2.loss_cls: 1.0362, decode.d2.loss_mask: 0.8510, decode.d2.loss_dice: 1.2764, decode.d3.loss_cls: 1.0157, decode.d3.loss_mask: 0.8479, decode.d3.loss_dice: 1.2591, decode.d4.loss_cls: 1.0130, decode.d4.loss_mask: 0.8489, decode.d4.loss_dice: 1.2604, decode.d5.loss_cls: 0.9956, decode.d5.loss_mask: 0.8523, decode.d5.loss_dice: 1.2512, decode.d6.loss_cls: 1.0018, decode.d6.loss_mask: 0.8465, decode.d6.loss_dice: 1.2520, decode.d7.loss_cls: 0.9997, decode.d7.loss_mask: 0.8468, decode.d7.loss_dice: 1.2540, decode.d8.loss_cls: 1.0004, decode.d8.loss_mask: 0.8451, decode.d8.loss_dice: 1.2547, loss: 32.4550, grad_norm: 56.3134 2023-11-11 23:29:09,731 - mmseg - INFO - Iter [4900/160000] lr: 9.694e-05, eta: 23:07:56, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9468, decode.loss_mask: 0.8602, decode.loss_dice: 1.2089, decode.d0.loss_cls: 1.8426, decode.d0.loss_mask: 0.9047, decode.d0.loss_dice: 1.4228, decode.d1.loss_cls: 1.1044, decode.d1.loss_mask: 0.8790, decode.d1.loss_dice: 1.2909, decode.d2.loss_cls: 0.9960, decode.d2.loss_mask: 0.8666, decode.d2.loss_dice: 1.2418, decode.d3.loss_cls: 0.9750, decode.d3.loss_mask: 0.8613, decode.d3.loss_dice: 1.2213, decode.d4.loss_cls: 0.9762, decode.d4.loss_mask: 0.8576, decode.d4.loss_dice: 1.2234, decode.d5.loss_cls: 0.9610, decode.d5.loss_mask: 0.8555, decode.d5.loss_dice: 1.2194, decode.d6.loss_cls: 0.9632, decode.d6.loss_mask: 0.8516, decode.d6.loss_dice: 1.2098, decode.d7.loss_cls: 0.9615, decode.d7.loss_mask: 0.8544, decode.d7.loss_dice: 1.2114, decode.d8.loss_cls: 0.9526, decode.d8.loss_mask: 0.8575, decode.d8.loss_dice: 1.2158, loss: 31.7933, grad_norm: 56.1858 2023-11-11 23:29:33,944 - mmseg - INFO - Iter [4950/160000] lr: 9.691e-05, eta: 23:06:07, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9912, decode.loss_mask: 0.8625, decode.loss_dice: 1.2143, decode.d0.loss_cls: 1.9018, decode.d0.loss_mask: 0.9135, decode.d0.loss_dice: 1.4411, decode.d1.loss_cls: 1.1153, decode.d1.loss_mask: 0.9021, decode.d1.loss_dice: 1.2981, decode.d2.loss_cls: 1.0322, decode.d2.loss_mask: 0.8817, decode.d2.loss_dice: 1.2399, decode.d3.loss_cls: 1.0095, decode.d3.loss_mask: 0.8700, decode.d3.loss_dice: 1.2165, decode.d4.loss_cls: 1.0029, decode.d4.loss_mask: 0.8650, decode.d4.loss_dice: 1.2177, decode.d5.loss_cls: 0.9973, decode.d5.loss_mask: 0.8626, decode.d5.loss_dice: 1.2140, decode.d6.loss_cls: 0.9927, decode.d6.loss_mask: 0.8623, decode.d6.loss_dice: 1.2045, decode.d7.loss_cls: 0.9922, decode.d7.loss_mask: 0.8660, decode.d7.loss_dice: 1.2197, decode.d8.loss_cls: 0.9909, decode.d8.loss_mask: 0.8628, decode.d8.loss_dice: 1.2114, loss: 32.2519, grad_norm: 56.8788 2023-11-11 23:29:58,235 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-11 23:29:58,236 - mmseg - INFO - Iter [5000/160000] lr: 9.688e-05, eta: 23:04:22, time: 0.486, data_time: 0.014, memory: 41146, decode.loss_cls: 1.0384, decode.loss_mask: 0.8511, decode.loss_dice: 1.2304, decode.d0.loss_cls: 1.9530, decode.d0.loss_mask: 0.8918, decode.d0.loss_dice: 1.4554, decode.d1.loss_cls: 1.1744, decode.d1.loss_mask: 0.8695, decode.d1.loss_dice: 1.3056, decode.d2.loss_cls: 1.0883, decode.d2.loss_mask: 0.8519, decode.d2.loss_dice: 1.2451, decode.d3.loss_cls: 1.0605, decode.d3.loss_mask: 0.8494, decode.d3.loss_dice: 1.2321, decode.d4.loss_cls: 1.0588, decode.d4.loss_mask: 0.8436, decode.d4.loss_dice: 1.2318, decode.d5.loss_cls: 1.0527, decode.d5.loss_mask: 0.8443, decode.d5.loss_dice: 1.2271, decode.d6.loss_cls: 1.0449, decode.d6.loss_mask: 0.8498, decode.d6.loss_dice: 1.2297, decode.d7.loss_cls: 1.0454, decode.d7.loss_mask: 0.8489, decode.d7.loss_dice: 1.2350, decode.d8.loss_cls: 1.0483, decode.d8.loss_mask: 0.8526, decode.d8.loss_dice: 1.2375, loss: 32.7474, grad_norm: 56.9009 2023-11-11 23:30:22,337 - mmseg - INFO - Iter [5050/160000] lr: 9.684e-05, eta: 23:02:32, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 1.0074, decode.loss_mask: 0.8458, decode.loss_dice: 1.2204, decode.d0.loss_cls: 1.9049, decode.d0.loss_mask: 0.8816, decode.d0.loss_dice: 1.4645, decode.d1.loss_cls: 1.1296, decode.d1.loss_mask: 0.8638, decode.d1.loss_dice: 1.3067, decode.d2.loss_cls: 1.0511, decode.d2.loss_mask: 0.8438, decode.d2.loss_dice: 1.2496, decode.d3.loss_cls: 1.0245, decode.d3.loss_mask: 0.8414, decode.d3.loss_dice: 1.2280, decode.d4.loss_cls: 1.0199, decode.d4.loss_mask: 0.8431, decode.d4.loss_dice: 1.2317, decode.d5.loss_cls: 1.0057, decode.d5.loss_mask: 0.8500, decode.d5.loss_dice: 1.2309, decode.d6.loss_cls: 1.0071, decode.d6.loss_mask: 0.8464, decode.d6.loss_dice: 1.2256, decode.d7.loss_cls: 1.0060, decode.d7.loss_mask: 0.8497, decode.d7.loss_dice: 1.2265, decode.d8.loss_cls: 1.0062, decode.d8.loss_mask: 0.8469, decode.d8.loss_dice: 1.2274, loss: 32.2862, grad_norm: 57.6818 2023-11-11 23:30:49,423 - mmseg - INFO - Iter [5100/160000] lr: 9.681e-05, eta: 23:02:15, time: 0.542, data_time: 0.061, memory: 41146, decode.loss_cls: 1.0294, decode.loss_mask: 0.8379, decode.loss_dice: 1.2578, decode.d0.loss_cls: 1.9448, decode.d0.loss_mask: 0.8815, decode.d0.loss_dice: 1.4680, decode.d1.loss_cls: 1.1609, decode.d1.loss_mask: 0.8692, decode.d1.loss_dice: 1.3312, decode.d2.loss_cls: 1.0764, decode.d2.loss_mask: 0.8442, decode.d2.loss_dice: 1.2703, decode.d3.loss_cls: 1.0392, decode.d3.loss_mask: 0.8463, decode.d3.loss_dice: 1.2537, decode.d4.loss_cls: 1.0481, decode.d4.loss_mask: 0.8427, decode.d4.loss_dice: 1.2579, decode.d5.loss_cls: 1.0351, decode.d5.loss_mask: 0.8429, decode.d5.loss_dice: 1.2592, decode.d6.loss_cls: 1.0366, decode.d6.loss_mask: 0.8371, decode.d6.loss_dice: 1.2558, decode.d7.loss_cls: 1.0386, decode.d7.loss_mask: 0.8336, decode.d7.loss_dice: 1.2661, decode.d8.loss_cls: 1.0320, decode.d8.loss_mask: 0.8327, decode.d8.loss_dice: 1.2563, loss: 32.7855, grad_norm: 53.6987 2023-11-11 23:31:13,624 - mmseg - INFO - Iter [5150/160000] lr: 9.678e-05, eta: 23:00:31, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9370, decode.loss_mask: 0.8226, decode.loss_dice: 1.1826, decode.d0.loss_cls: 1.8723, decode.d0.loss_mask: 0.8525, decode.d0.loss_dice: 1.4131, decode.d1.loss_cls: 1.0794, decode.d1.loss_mask: 0.8372, decode.d1.loss_dice: 1.2564, decode.d2.loss_cls: 0.9873, decode.d2.loss_mask: 0.8139, decode.d2.loss_dice: 1.2011, decode.d3.loss_cls: 0.9673, decode.d3.loss_mask: 0.8121, decode.d3.loss_dice: 1.1886, decode.d4.loss_cls: 0.9600, decode.d4.loss_mask: 0.8145, decode.d4.loss_dice: 1.1833, decode.d5.loss_cls: 0.9481, decode.d5.loss_mask: 0.8147, decode.d5.loss_dice: 1.1902, decode.d6.loss_cls: 0.9482, decode.d6.loss_mask: 0.8187, decode.d6.loss_dice: 1.1867, decode.d7.loss_cls: 0.9450, decode.d7.loss_mask: 0.8243, decode.d7.loss_dice: 1.1803, decode.d8.loss_cls: 0.9419, decode.d8.loss_mask: 0.8221, decode.d8.loss_dice: 1.1919, loss: 30.9933, grad_norm: 55.5131 2023-11-11 23:31:37,891 - mmseg - INFO - Iter [5200/160000] lr: 9.675e-05, eta: 22:58:51, time: 0.485, data_time: 0.014, memory: 41146, decode.loss_cls: 0.9598, decode.loss_mask: 0.8279, decode.loss_dice: 1.2098, decode.d0.loss_cls: 1.9087, decode.d0.loss_mask: 0.8628, decode.d0.loss_dice: 1.4268, decode.d1.loss_cls: 1.0950, decode.d1.loss_mask: 0.8498, decode.d1.loss_dice: 1.2884, decode.d2.loss_cls: 1.0043, decode.d2.loss_mask: 0.8335, decode.d2.loss_dice: 1.2344, decode.d3.loss_cls: 0.9808, decode.d3.loss_mask: 0.8271, decode.d3.loss_dice: 1.2139, decode.d4.loss_cls: 0.9730, decode.d4.loss_mask: 0.8285, decode.d4.loss_dice: 1.2262, decode.d5.loss_cls: 0.9623, decode.d5.loss_mask: 0.8274, decode.d5.loss_dice: 1.2232, decode.d6.loss_cls: 0.9547, decode.d6.loss_mask: 0.8276, decode.d6.loss_dice: 1.2157, decode.d7.loss_cls: 0.9625, decode.d7.loss_mask: 0.8261, decode.d7.loss_dice: 1.2208, decode.d8.loss_cls: 0.9653, decode.d8.loss_mask: 0.8293, decode.d8.loss_dice: 1.2168, loss: 31.5824, grad_norm: 54.8057 2023-11-11 23:32:02,370 - mmseg - INFO - Iter [5250/160000] lr: 9.672e-05, eta: 22:57:18, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9470, decode.loss_mask: 0.8302, decode.loss_dice: 1.2011, decode.d0.loss_cls: 1.8454, decode.d0.loss_mask: 0.8796, decode.d0.loss_dice: 1.4202, decode.d1.loss_cls: 1.0933, decode.d1.loss_mask: 0.8504, decode.d1.loss_dice: 1.2642, decode.d2.loss_cls: 0.9952, decode.d2.loss_mask: 0.8419, decode.d2.loss_dice: 1.2181, decode.d3.loss_cls: 0.9787, decode.d3.loss_mask: 0.8288, decode.d3.loss_dice: 1.1886, decode.d4.loss_cls: 0.9746, decode.d4.loss_mask: 0.8259, decode.d4.loss_dice: 1.1868, decode.d5.loss_cls: 0.9739, decode.d5.loss_mask: 0.8286, decode.d5.loss_dice: 1.1915, decode.d6.loss_cls: 0.9656, decode.d6.loss_mask: 0.8252, decode.d6.loss_dice: 1.1931, decode.d7.loss_cls: 0.9591, decode.d7.loss_mask: 0.8277, decode.d7.loss_dice: 1.1866, decode.d8.loss_cls: 0.9536, decode.d8.loss_mask: 0.8300, decode.d8.loss_dice: 1.1956, loss: 31.3005, grad_norm: 54.2168 2023-11-11 23:32:26,769 - mmseg - INFO - Iter [5300/160000] lr: 9.669e-05, eta: 22:55:44, time: 0.488, data_time: 0.015, memory: 41146, decode.loss_cls: 0.9993, decode.loss_mask: 0.8322, decode.loss_dice: 1.2263, decode.d0.loss_cls: 1.9157, decode.d0.loss_mask: 0.8740, decode.d0.loss_dice: 1.4507, decode.d1.loss_cls: 1.1168, decode.d1.loss_mask: 0.8635, decode.d1.loss_dice: 1.3165, decode.d2.loss_cls: 1.0388, decode.d2.loss_mask: 0.8351, decode.d2.loss_dice: 1.2564, decode.d3.loss_cls: 1.0051, decode.d3.loss_mask: 0.8336, decode.d3.loss_dice: 1.2338, decode.d4.loss_cls: 1.0018, decode.d4.loss_mask: 0.8282, decode.d4.loss_dice: 1.2421, decode.d5.loss_cls: 0.9985, decode.d5.loss_mask: 0.8348, decode.d5.loss_dice: 1.2329, decode.d6.loss_cls: 1.0049, decode.d6.loss_mask: 0.8315, decode.d6.loss_dice: 1.2240, decode.d7.loss_cls: 0.9976, decode.d7.loss_mask: 0.8344, decode.d7.loss_dice: 1.2306, decode.d8.loss_cls: 0.9856, decode.d8.loss_mask: 0.8405, decode.d8.loss_dice: 1.2271, loss: 32.1125, grad_norm: 53.0451 2023-11-11 23:32:51,018 - mmseg - INFO - Iter [5350/160000] lr: 9.666e-05, eta: 22:54:07, time: 0.485, data_time: 0.014, memory: 41146, decode.loss_cls: 0.9420, decode.loss_mask: 0.8169, decode.loss_dice: 1.2233, decode.d0.loss_cls: 1.8734, decode.d0.loss_mask: 0.8560, decode.d0.loss_dice: 1.4329, decode.d1.loss_cls: 1.0910, decode.d1.loss_mask: 0.8325, decode.d1.loss_dice: 1.2897, decode.d2.loss_cls: 0.9923, decode.d2.loss_mask: 0.8213, decode.d2.loss_dice: 1.2521, decode.d3.loss_cls: 0.9672, decode.d3.loss_mask: 0.8081, decode.d3.loss_dice: 1.2240, decode.d4.loss_cls: 0.9514, decode.d4.loss_mask: 0.8136, decode.d4.loss_dice: 1.2280, decode.d5.loss_cls: 0.9475, decode.d5.loss_mask: 0.8102, decode.d5.loss_dice: 1.2298, decode.d6.loss_cls: 0.9530, decode.d6.loss_mask: 0.8089, decode.d6.loss_dice: 1.2157, decode.d7.loss_cls: 0.9466, decode.d7.loss_mask: 0.8098, decode.d7.loss_dice: 1.2163, decode.d8.loss_cls: 0.9468, decode.d8.loss_mask: 0.8124, decode.d8.loss_dice: 1.2234, loss: 31.3360, grad_norm: 53.5376 2023-11-11 23:33:15,256 - mmseg - INFO - Iter [5400/160000] lr: 9.663e-05, eta: 22:52:31, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9715, decode.loss_mask: 0.8457, decode.loss_dice: 1.2285, decode.d0.loss_cls: 1.8727, decode.d0.loss_mask: 0.8816, decode.d0.loss_dice: 1.4412, decode.d1.loss_cls: 1.1007, decode.d1.loss_mask: 0.8602, decode.d1.loss_dice: 1.2988, decode.d2.loss_cls: 1.0250, decode.d2.loss_mask: 0.8447, decode.d2.loss_dice: 1.2442, decode.d3.loss_cls: 0.9932, decode.d3.loss_mask: 0.8504, decode.d3.loss_dice: 1.2273, decode.d4.loss_cls: 0.9842, decode.d4.loss_mask: 0.8423, decode.d4.loss_dice: 1.2335, decode.d5.loss_cls: 0.9860, decode.d5.loss_mask: 0.8441, decode.d5.loss_dice: 1.2285, decode.d6.loss_cls: 0.9872, decode.d6.loss_mask: 0.8389, decode.d6.loss_dice: 1.2164, decode.d7.loss_cls: 0.9849, decode.d7.loss_mask: 0.8456, decode.d7.loss_dice: 1.2246, decode.d8.loss_cls: 0.9717, decode.d8.loss_mask: 0.8444, decode.d8.loss_dice: 1.2289, loss: 31.9465, grad_norm: 58.1835 2023-11-11 23:33:39,627 - mmseg - INFO - Iter [5450/160000] lr: 9.659e-05, eta: 22:51:00, time: 0.487, data_time: 0.012, memory: 41146, decode.loss_cls: 0.9853, decode.loss_mask: 0.8214, decode.loss_dice: 1.2239, decode.d0.loss_cls: 1.9034, decode.d0.loss_mask: 0.8549, decode.d0.loss_dice: 1.4180, decode.d1.loss_cls: 1.1137, decode.d1.loss_mask: 0.8463, decode.d1.loss_dice: 1.2922, decode.d2.loss_cls: 1.0267, decode.d2.loss_mask: 0.8257, decode.d2.loss_dice: 1.2365, decode.d3.loss_cls: 0.9951, decode.d3.loss_mask: 0.8215, decode.d3.loss_dice: 1.2218, decode.d4.loss_cls: 0.9883, decode.d4.loss_mask: 0.8208, decode.d4.loss_dice: 1.2222, decode.d5.loss_cls: 0.9855, decode.d5.loss_mask: 0.8203, decode.d5.loss_dice: 1.2263, decode.d6.loss_cls: 0.9897, decode.d6.loss_mask: 0.8134, decode.d6.loss_dice: 1.2036, decode.d7.loss_cls: 0.9890, decode.d7.loss_mask: 0.8197, decode.d7.loss_dice: 1.2123, decode.d8.loss_cls: 0.9884, decode.d8.loss_mask: 0.8243, decode.d8.loss_dice: 1.2219, loss: 31.7124, grad_norm: 58.3328 2023-11-11 23:34:04,481 - mmseg - INFO - Iter [5500/160000] lr: 9.656e-05, eta: 22:49:44, time: 0.497, data_time: 0.014, memory: 41146, decode.loss_cls: 0.9468, decode.loss_mask: 0.8186, decode.loss_dice: 1.2082, decode.d0.loss_cls: 1.8485, decode.d0.loss_mask: 0.8578, decode.d0.loss_dice: 1.4198, decode.d1.loss_cls: 1.0827, decode.d1.loss_mask: 0.8432, decode.d1.loss_dice: 1.2849, decode.d2.loss_cls: 0.9967, decode.d2.loss_mask: 0.8220, decode.d2.loss_dice: 1.2357, decode.d3.loss_cls: 0.9763, decode.d3.loss_mask: 0.8185, decode.d3.loss_dice: 1.2087, decode.d4.loss_cls: 0.9739, decode.d4.loss_mask: 0.8172, decode.d4.loss_dice: 1.2222, decode.d5.loss_cls: 0.9620, decode.d5.loss_mask: 0.8145, decode.d5.loss_dice: 1.2144, decode.d6.loss_cls: 0.9543, decode.d6.loss_mask: 0.8216, decode.d6.loss_dice: 1.2062, decode.d7.loss_cls: 0.9514, decode.d7.loss_mask: 0.8246, decode.d7.loss_dice: 1.2131, decode.d8.loss_cls: 0.9530, decode.d8.loss_mask: 0.8213, decode.d8.loss_dice: 1.2094, loss: 31.3278, grad_norm: 54.7482 2023-11-11 23:34:29,176 - mmseg - INFO - Iter [5550/160000] lr: 9.653e-05, eta: 22:48:25, time: 0.494, data_time: 0.014, memory: 41146, decode.loss_cls: 0.9321, decode.loss_mask: 0.7990, decode.loss_dice: 1.1774, decode.d0.loss_cls: 1.8727, decode.d0.loss_mask: 0.8418, decode.d0.loss_dice: 1.4091, decode.d1.loss_cls: 1.0716, decode.d1.loss_mask: 0.8324, decode.d1.loss_dice: 1.2731, decode.d2.loss_cls: 0.9888, decode.d2.loss_mask: 0.8079, decode.d2.loss_dice: 1.2092, decode.d3.loss_cls: 0.9620, decode.d3.loss_mask: 0.7981, decode.d3.loss_dice: 1.1928, decode.d4.loss_cls: 0.9500, decode.d4.loss_mask: 0.8021, decode.d4.loss_dice: 1.1939, decode.d5.loss_cls: 0.9482, decode.d5.loss_mask: 0.7955, decode.d5.loss_dice: 1.1983, decode.d6.loss_cls: 0.9403, decode.d6.loss_mask: 0.7992, decode.d6.loss_dice: 1.1913, decode.d7.loss_cls: 0.9391, decode.d7.loss_mask: 0.7985, decode.d7.loss_dice: 1.1913, decode.d8.loss_cls: 0.9343, decode.d8.loss_mask: 0.7992, decode.d8.loss_dice: 1.1944, loss: 30.8435, grad_norm: 54.0979 2023-11-11 23:34:53,273 - mmseg - INFO - Iter [5600/160000] lr: 9.650e-05, eta: 22:46:50, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9451, decode.loss_mask: 0.8511, decode.loss_dice: 1.1946, decode.d0.loss_cls: 1.8522, decode.d0.loss_mask: 0.9026, decode.d0.loss_dice: 1.4111, decode.d1.loss_cls: 1.0640, decode.d1.loss_mask: 0.8759, decode.d1.loss_dice: 1.2767, decode.d2.loss_cls: 0.9832, decode.d2.loss_mask: 0.8520, decode.d2.loss_dice: 1.2248, decode.d3.loss_cls: 0.9694, decode.d3.loss_mask: 0.8436, decode.d3.loss_dice: 1.1956, decode.d4.loss_cls: 0.9592, decode.d4.loss_mask: 0.8461, decode.d4.loss_dice: 1.1996, decode.d5.loss_cls: 0.9536, decode.d5.loss_mask: 0.8518, decode.d5.loss_dice: 1.1933, decode.d6.loss_cls: 0.9500, decode.d6.loss_mask: 0.8499, decode.d6.loss_dice: 1.1978, decode.d7.loss_cls: 0.9479, decode.d7.loss_mask: 0.8556, decode.d7.loss_dice: 1.1972, decode.d8.loss_cls: 0.9505, decode.d8.loss_mask: 0.8553, decode.d8.loss_dice: 1.1965, loss: 31.4461, grad_norm: 54.2442 2023-11-11 23:35:17,507 - mmseg - INFO - Iter [5650/160000] lr: 9.647e-05, eta: 22:45:20, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9693, decode.loss_mask: 0.8220, decode.loss_dice: 1.2043, decode.d0.loss_cls: 1.8750, decode.d0.loss_mask: 0.8758, decode.d0.loss_dice: 1.4251, decode.d1.loss_cls: 1.1086, decode.d1.loss_mask: 0.8431, decode.d1.loss_dice: 1.2700, decode.d2.loss_cls: 1.0117, decode.d2.loss_mask: 0.8286, decode.d2.loss_dice: 1.2224, decode.d3.loss_cls: 0.9877, decode.d3.loss_mask: 0.8229, decode.d3.loss_dice: 1.2071, decode.d4.loss_cls: 0.9834, decode.d4.loss_mask: 0.8296, decode.d4.loss_dice: 1.2135, decode.d5.loss_cls: 0.9710, decode.d5.loss_mask: 0.8321, decode.d5.loss_dice: 1.2048, decode.d6.loss_cls: 0.9750, decode.d6.loss_mask: 0.8259, decode.d6.loss_dice: 1.1948, decode.d7.loss_cls: 0.9771, decode.d7.loss_mask: 0.8273, decode.d7.loss_dice: 1.1970, decode.d8.loss_cls: 0.9749, decode.d8.loss_mask: 0.8206, decode.d8.loss_dice: 1.2075, loss: 31.5080, grad_norm: 56.5251 2023-11-11 23:35:41,729 - mmseg - INFO - Iter [5700/160000] lr: 9.644e-05, eta: 22:43:51, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 0.9457, decode.loss_mask: 0.8707, decode.loss_dice: 1.2228, decode.d0.loss_cls: 1.8613, decode.d0.loss_mask: 0.9135, decode.d0.loss_dice: 1.4491, decode.d1.loss_cls: 1.0773, decode.d1.loss_mask: 0.8940, decode.d1.loss_dice: 1.3120, decode.d2.loss_cls: 0.9925, decode.d2.loss_mask: 0.8742, decode.d2.loss_dice: 1.2543, decode.d3.loss_cls: 0.9636, decode.d3.loss_mask: 0.8686, decode.d3.loss_dice: 1.2348, decode.d4.loss_cls: 0.9573, decode.d4.loss_mask: 0.8744, decode.d4.loss_dice: 1.2396, decode.d5.loss_cls: 0.9583, decode.d5.loss_mask: 0.8682, decode.d5.loss_dice: 1.2346, decode.d6.loss_cls: 0.9536, decode.d6.loss_mask: 0.8695, decode.d6.loss_dice: 1.2323, decode.d7.loss_cls: 0.9467, decode.d7.loss_mask: 0.8712, decode.d7.loss_dice: 1.2410, decode.d8.loss_cls: 0.9499, decode.d8.loss_mask: 0.8687, decode.d8.loss_dice: 1.2313, loss: 32.0311, grad_norm: 55.0966 2023-11-11 23:36:06,002 - mmseg - INFO - Iter [5750/160000] lr: 9.641e-05, eta: 22:42:24, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.9285, decode.loss_mask: 0.8356, decode.loss_dice: 1.2439, decode.d0.loss_cls: 1.8579, decode.d0.loss_mask: 0.8619, decode.d0.loss_dice: 1.4307, decode.d1.loss_cls: 1.0717, decode.d1.loss_mask: 0.8520, decode.d1.loss_dice: 1.3058, decode.d2.loss_cls: 0.9816, decode.d2.loss_mask: 0.8390, decode.d2.loss_dice: 1.2615, decode.d3.loss_cls: 0.9620, decode.d3.loss_mask: 0.8373, decode.d3.loss_dice: 1.2395, decode.d4.loss_cls: 0.9514, decode.d4.loss_mask: 0.8351, decode.d4.loss_dice: 1.2418, decode.d5.loss_cls: 0.9421, decode.d5.loss_mask: 0.8404, decode.d5.loss_dice: 1.2379, decode.d6.loss_cls: 0.9490, decode.d6.loss_mask: 0.8359, decode.d6.loss_dice: 1.2316, decode.d7.loss_cls: 0.9499, decode.d7.loss_mask: 0.8325, decode.d7.loss_dice: 1.2423, decode.d8.loss_cls: 0.9414, decode.d8.loss_mask: 0.8380, decode.d8.loss_dice: 1.2413, loss: 31.6195, grad_norm: 54.1510 2023-11-11 23:36:30,294 - mmseg - INFO - Iter [5800/160000] lr: 9.638e-05, eta: 22:40:59, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9188, decode.loss_mask: 0.8423, decode.loss_dice: 1.1894, decode.d0.loss_cls: 1.8450, decode.d0.loss_mask: 0.8689, decode.d0.loss_dice: 1.4005, decode.d1.loss_cls: 1.0653, decode.d1.loss_mask: 0.8454, decode.d1.loss_dice: 1.2647, decode.d2.loss_cls: 0.9693, decode.d2.loss_mask: 0.8316, decode.d2.loss_dice: 1.2077, decode.d3.loss_cls: 0.9336, decode.d3.loss_mask: 0.8313, decode.d3.loss_dice: 1.1849, decode.d4.loss_cls: 0.9390, decode.d4.loss_mask: 0.8240, decode.d4.loss_dice: 1.1895, decode.d5.loss_cls: 0.9289, decode.d5.loss_mask: 0.8277, decode.d5.loss_dice: 1.1883, decode.d6.loss_cls: 0.9338, decode.d6.loss_mask: 0.8305, decode.d6.loss_dice: 1.1850, decode.d7.loss_cls: 0.9307, decode.d7.loss_mask: 0.8379, decode.d7.loss_dice: 1.1914, decode.d8.loss_cls: 0.9306, decode.d8.loss_mask: 0.8331, decode.d8.loss_dice: 1.1854, loss: 30.9545, grad_norm: 53.4086 2023-11-11 23:36:54,530 - mmseg - INFO - Iter [5850/160000] lr: 9.634e-05, eta: 22:39:33, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9384, decode.loss_mask: 0.8395, decode.loss_dice: 1.2067, decode.d0.loss_cls: 1.8477, decode.d0.loss_mask: 0.8807, decode.d0.loss_dice: 1.4195, decode.d1.loss_cls: 1.0748, decode.d1.loss_mask: 0.8624, decode.d1.loss_dice: 1.2828, decode.d2.loss_cls: 0.9874, decode.d2.loss_mask: 0.8376, decode.d2.loss_dice: 1.2311, decode.d3.loss_cls: 0.9610, decode.d3.loss_mask: 0.8412, decode.d3.loss_dice: 1.2055, decode.d4.loss_cls: 0.9618, decode.d4.loss_mask: 0.8396, decode.d4.loss_dice: 1.2011, decode.d5.loss_cls: 0.9513, decode.d5.loss_mask: 0.8431, decode.d5.loss_dice: 1.2090, decode.d6.loss_cls: 0.9577, decode.d6.loss_mask: 0.8371, decode.d6.loss_dice: 1.1992, decode.d7.loss_cls: 0.9480, decode.d7.loss_mask: 0.8432, decode.d7.loss_dice: 1.2041, decode.d8.loss_cls: 0.9430, decode.d8.loss_mask: 0.8382, decode.d8.loss_dice: 1.2078, loss: 31.4005, grad_norm: 53.5621 2023-11-11 23:37:18,876 - mmseg - INFO - Iter [5900/160000] lr: 9.631e-05, eta: 22:38:11, time: 0.487, data_time: 0.012, memory: 41146, decode.loss_cls: 0.9397, decode.loss_mask: 0.8030, decode.loss_dice: 1.2032, decode.d0.loss_cls: 1.8448, decode.d0.loss_mask: 0.8529, decode.d0.loss_dice: 1.4202, decode.d1.loss_cls: 1.0597, decode.d1.loss_mask: 0.8314, decode.d1.loss_dice: 1.2860, decode.d2.loss_cls: 0.9762, decode.d2.loss_mask: 0.8075, decode.d2.loss_dice: 1.2346, decode.d3.loss_cls: 0.9539, decode.d3.loss_mask: 0.8053, decode.d3.loss_dice: 1.2133, decode.d4.loss_cls: 0.9487, decode.d4.loss_mask: 0.8064, decode.d4.loss_dice: 1.2098, decode.d5.loss_cls: 0.9443, decode.d5.loss_mask: 0.8036, decode.d5.loss_dice: 1.2163, decode.d6.loss_cls: 0.9379, decode.d6.loss_mask: 0.8084, decode.d6.loss_dice: 1.2015, decode.d7.loss_cls: 0.9324, decode.d7.loss_mask: 0.8093, decode.d7.loss_dice: 1.2047, decode.d8.loss_cls: 0.9397, decode.d8.loss_mask: 0.8099, decode.d8.loss_dice: 1.2091, loss: 31.0136, grad_norm: 52.0213 2023-11-11 23:37:43,206 - mmseg - INFO - Iter [5950/160000] lr: 9.628e-05, eta: 22:36:50, time: 0.487, data_time: 0.015, memory: 41146, decode.loss_cls: 0.9124, decode.loss_mask: 0.8225, decode.loss_dice: 1.2165, decode.d0.loss_cls: 1.8260, decode.d0.loss_mask: 0.8471, decode.d0.loss_dice: 1.4141, decode.d1.loss_cls: 1.0482, decode.d1.loss_mask: 0.8434, decode.d1.loss_dice: 1.2979, decode.d2.loss_cls: 0.9545, decode.d2.loss_mask: 0.8280, decode.d2.loss_dice: 1.2514, decode.d3.loss_cls: 0.9339, decode.d3.loss_mask: 0.8239, decode.d3.loss_dice: 1.2261, decode.d4.loss_cls: 0.9339, decode.d4.loss_mask: 0.8203, decode.d4.loss_dice: 1.2295, decode.d5.loss_cls: 0.9290, decode.d5.loss_mask: 0.8225, decode.d5.loss_dice: 1.2297, decode.d6.loss_cls: 0.9233, decode.d6.loss_mask: 0.8257, decode.d6.loss_dice: 1.2168, decode.d7.loss_cls: 0.9193, decode.d7.loss_mask: 0.8244, decode.d7.loss_dice: 1.2215, decode.d8.loss_cls: 0.9203, decode.d8.loss_mask: 0.8220, decode.d8.loss_dice: 1.2228, loss: 31.1069, grad_norm: 53.8762 2023-11-11 23:38:07,385 - mmseg - INFO - Saving checkpoint at 6000 iterations 2023-11-11 23:38:11,823 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-11 23:38:11,823 - mmseg - INFO - Iter [6000/160000] lr: 9.625e-05, eta: 22:37:20, time: 0.572, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9445, decode.loss_mask: 0.8564, decode.loss_dice: 1.1907, decode.d0.loss_cls: 1.8370, decode.d0.loss_mask: 0.8986, decode.d0.loss_dice: 1.4008, decode.d1.loss_cls: 1.0510, decode.d1.loss_mask: 0.8760, decode.d1.loss_dice: 1.2788, decode.d2.loss_cls: 0.9731, decode.d2.loss_mask: 0.8634, decode.d2.loss_dice: 1.2311, decode.d3.loss_cls: 0.9542, decode.d3.loss_mask: 0.8588, decode.d3.loss_dice: 1.2070, decode.d4.loss_cls: 0.9414, decode.d4.loss_mask: 0.8624, decode.d4.loss_dice: 1.2080, decode.d5.loss_cls: 0.9363, decode.d5.loss_mask: 0.8578, decode.d5.loss_dice: 1.2097, decode.d6.loss_cls: 0.9390, decode.d6.loss_mask: 0.8547, decode.d6.loss_dice: 1.1982, decode.d7.loss_cls: 0.9326, decode.d7.loss_mask: 0.8601, decode.d7.loss_dice: 1.2009, decode.d8.loss_cls: 0.9383, decode.d8.loss_mask: 0.8566, decode.d8.loss_dice: 1.1987, loss: 31.4161, grad_norm: 58.6302 2023-11-11 23:38:34,905 - mmseg - INFO - per class results: 2023-11-11 23:38:34,910 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 75.88 | 83.97 | | building | 80.29 | 88.33 | | sky | 94.5 | 96.89 | | floor | 81.12 | 89.69 | | tree | 74.08 | 90.16 | | ceiling | 83.43 | 90.78 | | road | 75.95 | 90.13 | | bed | 86.56 | 94.73 | | windowpane | 60.28 | 79.54 | | grass | 68.06 | 82.11 | | cabinet | 58.71 | 76.25 | | sidewalk | 64.49 | 78.96 | | person | 83.61 | 89.7 | | earth | 37.34 | 53.06 | | door | 37.99 | 82.83 | | table | 52.95 | 78.73 | | mountain | 50.97 | 64.38 | | plant | 49.73 | 60.14 | | curtain | 68.05 | 86.69 | | chair | 49.59 | 66.7 | | car | 85.66 | 91.31 | | water | 41.04 | 51.89 | | painting | 60.71 | 88.56 | | sofa | 61.43 | 75.18 | | shelf | 36.02 | 53.7 | | house | 39.05 | 66.54 | | sea | 52.63 | 95.7 | | mirror | 55.6 | 60.28 | | rug | 65.66 | 78.76 | | field | 23.71 | 39.54 | | armchair | 35.77 | 67.95 | | seat | 49.11 | 69.97 | | fence | 38.23 | 69.28 | | desk | 24.66 | 30.87 | | rock | 37.5 | 88.0 | | wardrobe | 30.54 | 37.09 | | lamp | 62.93 | 79.36 | | bathtub | 73.64 | 80.94 | | railing | 22.32 | 39.56 | | cushion | 54.82 | 73.66 | | base | 2.45 | 2.77 | | box | 19.63 | 29.58 | | column | 49.97 | 67.1 | | signboard | 34.88 | 53.27 | | chest of drawers | 36.54 | 49.49 | | counter | 13.11 | 15.15 | | sand | 37.08 | 41.65 | | sink | 71.67 | 80.13 | | skyscraper | 35.03 | 42.04 | | fireplace | 63.07 | 79.01 | | refrigerator | 67.84 | 81.73 | | grandstand | 38.2 | 38.87 | | path | 14.9 | 26.48 | | stairs | 25.49 | 32.42 | | runway | 10.47 | 10.5 | | case | 47.6 | 55.47 | | pool table | 93.11 | 96.18 | | pillow | 48.2 | 59.65 | | screen door | 23.66 | 26.15 | | stairway | 15.34 | 33.44 | | river | 5.4 | 7.73 | | bridge | 30.7 | 36.63 | | bookcase | 28.22 | 55.19 | | blind | 3.12 | 3.16 | | coffee table | 51.75 | 71.18 | | toilet | 84.46 | 90.15 | | flower | 38.85 | 51.47 | | book | 42.42 | 71.73 | | hill | 0.06 | 0.06 | | bench | 25.54 | 39.08 | | countertop | 53.36 | 69.02 | | stove | 70.13 | 79.47 | | palm | 49.33 | 68.55 | | kitchen island | 8.63 | 15.18 | | computer | 73.69 | 84.83 | | swivel chair | 16.66 | 21.26 | | boat | 70.9 | 83.61 | | bar | 2.96 | 3.26 | | arcade machine | 14.72 | 20.12 | | hovel | 0.0 | 0.0 | | bus | 78.01 | 92.09 | | towel | 61.99 | 81.17 | | light | 51.12 | 75.21 | | truck | 35.43 | 48.61 | | tower | 17.31 | 17.83 | | chandelier | 56.6 | 82.02 | | awning | 26.51 | 46.18 | | streetlight | 32.09 | 49.67 | | booth | 0.0 | 0.0 | | television receiver | 56.94 | 79.9 | | airplane | 50.7 | 64.8 | | dirt track | 0.0 | 0.0 | | apparel | 18.15 | 26.64 | | pole | 27.62 | 62.75 | | land | 0.0 | 0.0 | | bannister | 11.66 | 18.6 | | escalator | 0.0 | 0.0 | | ottoman | 46.45 | 60.84 | | bottle | 24.83 | 41.07 | | buffet | 0.0 | 0.0 | | poster | 7.2 | 15.75 | | stage | 0.0 | 0.0 | | van | 38.6 | 69.63 | | ship | 0.0 | 0.0 | | fountain | 0.88 | 1.05 | | conveyer belt | 25.43 | 25.44 | | canopy | 0.0 | 0.0 | | washer | 40.16 | 70.2 | | plaything | 26.51 | 50.04 | | swimming pool | 8.17 | 16.79 | | stool | 16.66 | 23.24 | | barrel | 0.0 | 0.0 | | basket | 26.26 | 40.26 | | waterfall | 46.45 | 94.24 | | tent | 95.97 | 97.73 | | bag | 13.41 | 15.15 | | minibike | 44.25 | 53.6 | | cradle | 20.11 | 20.91 | | oven | 19.05 | 24.25 | | ball | 41.91 | 60.35 | | food | 56.09 | 64.6 | | step | 0.56 | 0.57 | | tank | 0.0 | 0.0 | | trade name | 28.27 | 40.79 | | microwave | 37.39 | 44.79 | | pot | 41.28 | 50.77 | | animal | 54.59 | 61.05 | | bicycle | 40.18 | 88.38 | | lake | 0.0 | 0.0 | | dishwasher | 57.29 | 81.88 | | screen | 54.78 | 88.03 | | blanket | 2.47 | 2.61 | | sculpture | 47.74 | 81.21 | | hood | 45.68 | 59.89 | | sconce | 33.17 | 54.58 | | vase | 32.15 | 73.64 | | traffic light | 29.82 | 70.82 | | tray | 2.68 | 2.97 | | ashcan | 40.96 | 64.1 | | fan | 51.2 | 67.67 | | pier | 1.15 | 1.18 | | crt screen | 0.0 | 0.0 | | plate | 52.39 | 68.49 | | monitor | 0.06 | 0.06 | | bulletin board | 0.0 | 0.0 | | shower | 0.18 | 0.18 | | radiator | 61.79 | 70.93 | | glass | 14.16 | 16.19 | | clock | 25.05 | 42.7 | | flag | 46.71 | 54.65 | +---------------------+-------+-------+ 2023-11-11 23:38:34,910 - mmseg - INFO - Summary: 2023-11-11 23:38:34,910 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 79.95 | 37.52 | 50.22 | +-------+-------+-------+ 2023-11-11 23:38:35,071 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_4000.pth was removed 2023-11-11 23:38:38,516 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_6000.pth. 2023-11-11 23:38:38,516 - mmseg - INFO - Best mIoU is 0.3752 at 6000 iter. 2023-11-11 23:38:38,516 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-11 23:38:38,517 - mmseg - INFO - Iter(val) [250] aAcc: 0.7995, mIoU: 0.3752, mAcc: 0.5022, IoU.wall: 0.7588, IoU.building: 0.8029, IoU.sky: 0.9450, IoU.floor: 0.8112, IoU.tree: 0.7408, IoU.ceiling: 0.8343, IoU.road: 0.7595, IoU.bed : 0.8656, IoU.windowpane: 0.6028, IoU.grass: 0.6806, IoU.cabinet: 0.5871, IoU.sidewalk: 0.6449, IoU.person: 0.8361, IoU.earth: 0.3734, IoU.door: 0.3799, IoU.table: 0.5295, IoU.mountain: 0.5097, IoU.plant: 0.4973, IoU.curtain: 0.6805, IoU.chair: 0.4959, IoU.car: 0.8566, IoU.water: 0.4104, IoU.painting: 0.6071, IoU.sofa: 0.6143, IoU.shelf: 0.3602, IoU.house: 0.3905, IoU.sea: 0.5263, IoU.mirror: 0.5560, IoU.rug: 0.6566, IoU.field: 0.2371, IoU.armchair: 0.3577, IoU.seat: 0.4911, IoU.fence: 0.3823, IoU.desk: 0.2466, IoU.rock: 0.3750, IoU.wardrobe: 0.3054, IoU.lamp: 0.6293, IoU.bathtub: 0.7364, IoU.railing: 0.2232, IoU.cushion: 0.5482, IoU.base: 0.0245, IoU.box: 0.1963, IoU.column: 0.4997, IoU.signboard: 0.3488, IoU.chest of drawers: 0.3654, IoU.counter: 0.1311, IoU.sand: 0.3708, IoU.sink: 0.7167, IoU.skyscraper: 0.3503, IoU.fireplace: 0.6307, IoU.refrigerator: 0.6784, IoU.grandstand: 0.3820, IoU.path: 0.1490, IoU.stairs: 0.2549, IoU.runway: 0.1047, IoU.case: 0.4760, IoU.pool table: 0.9311, IoU.pillow: 0.4820, IoU.screen door: 0.2366, IoU.stairway: 0.1534, IoU.river: 0.0540, IoU.bridge: 0.3070, IoU.bookcase: 0.2822, IoU.blind: 0.0312, IoU.coffee table: 0.5175, IoU.toilet: 0.8446, IoU.flower: 0.3885, IoU.book: 0.4242, IoU.hill: 0.0006, IoU.bench: 0.2554, IoU.countertop: 0.5336, IoU.stove: 0.7013, IoU.palm: 0.4933, IoU.kitchen island: 0.0863, IoU.computer: 0.7369, IoU.swivel chair: 0.1666, IoU.boat: 0.7090, IoU.bar: 0.0296, IoU.arcade machine: 0.1472, IoU.hovel: 0.0000, IoU.bus: 0.7801, IoU.towel: 0.6199, IoU.light: 0.5112, IoU.truck: 0.3543, IoU.tower: 0.1731, IoU.chandelier: 0.5660, IoU.awning: 0.2651, IoU.streetlight: 0.3209, IoU.booth: 0.0000, IoU.television receiver: 0.5694, IoU.airplane: 0.5070, IoU.dirt track: 0.0000, IoU.apparel: 0.1815, IoU.pole: 0.2762, IoU.land: 0.0000, IoU.bannister: 0.1166, IoU.escalator: 0.0000, IoU.ottoman: 0.4645, IoU.bottle: 0.2483, IoU.buffet: 0.0000, IoU.poster: 0.0720, IoU.stage: 0.0000, IoU.van: 0.3860, IoU.ship: 0.0000, IoU.fountain: 0.0088, IoU.conveyer belt: 0.2543, IoU.canopy: 0.0000, IoU.washer: 0.4016, IoU.plaything: 0.2651, IoU.swimming pool: 0.0817, IoU.stool: 0.1666, IoU.barrel: 0.0000, IoU.basket: 0.2626, IoU.waterfall: 0.4645, IoU.tent: 0.9597, IoU.bag: 0.1341, IoU.minibike: 0.4425, IoU.cradle: 0.2011, IoU.oven: 0.1905, IoU.ball: 0.4191, IoU.food: 0.5609, IoU.step: 0.0056, IoU.tank: 0.0000, IoU.trade name: 0.2827, IoU.microwave: 0.3739, IoU.pot: 0.4128, IoU.animal: 0.5459, IoU.bicycle: 0.4018, IoU.lake: 0.0000, IoU.dishwasher: 0.5729, IoU.screen: 0.5478, IoU.blanket: 0.0247, IoU.sculpture: 0.4774, IoU.hood: 0.4568, IoU.sconce: 0.3317, IoU.vase: 0.3215, IoU.traffic light: 0.2982, IoU.tray: 0.0268, IoU.ashcan: 0.4096, IoU.fan: 0.5120, IoU.pier: 0.0115, IoU.crt screen: 0.0000, IoU.plate: 0.5239, IoU.monitor: 0.0006, IoU.bulletin board: 0.0000, IoU.shower: 0.0018, IoU.radiator: 0.6179, IoU.glass: 0.1416, IoU.clock: 0.2505, IoU.flag: 0.4671, Acc.wall: 0.8397, Acc.building: 0.8833, Acc.sky: 0.9689, Acc.floor: 0.8969, Acc.tree: 0.9016, Acc.ceiling: 0.9078, Acc.road: 0.9013, Acc.bed : 0.9473, Acc.windowpane: 0.7954, Acc.grass: 0.8211, Acc.cabinet: 0.7625, Acc.sidewalk: 0.7896, Acc.person: 0.8970, Acc.earth: 0.5306, Acc.door: 0.8283, Acc.table: 0.7873, Acc.mountain: 0.6438, Acc.plant: 0.6014, Acc.curtain: 0.8669, Acc.chair: 0.6670, Acc.car: 0.9131, Acc.water: 0.5189, Acc.painting: 0.8856, Acc.sofa: 0.7518, Acc.shelf: 0.5370, Acc.house: 0.6654, Acc.sea: 0.9570, Acc.mirror: 0.6028, Acc.rug: 0.7876, Acc.field: 0.3954, Acc.armchair: 0.6795, Acc.seat: 0.6997, Acc.fence: 0.6928, Acc.desk: 0.3087, Acc.rock: 0.8800, Acc.wardrobe: 0.3709, Acc.lamp: 0.7936, Acc.bathtub: 0.8094, Acc.railing: 0.3956, Acc.cushion: 0.7366, Acc.base: 0.0277, Acc.box: 0.2958, Acc.column: 0.6710, Acc.signboard: 0.5327, Acc.chest of drawers: 0.4949, Acc.counter: 0.1515, Acc.sand: 0.4165, Acc.sink: 0.8013, Acc.skyscraper: 0.4204, Acc.fireplace: 0.7901, Acc.refrigerator: 0.8173, Acc.grandstand: 0.3887, Acc.path: 0.2648, Acc.stairs: 0.3242, Acc.runway: 0.1050, Acc.case: 0.5547, Acc.pool table: 0.9618, Acc.pillow: 0.5965, Acc.screen door: 0.2615, Acc.stairway: 0.3344, Acc.river: 0.0773, Acc.bridge: 0.3663, Acc.bookcase: 0.5519, Acc.blind: 0.0316, Acc.coffee table: 0.7118, Acc.toilet: 0.9015, Acc.flower: 0.5147, Acc.book: 0.7173, Acc.hill: 0.0006, Acc.bench: 0.3908, Acc.countertop: 0.6902, Acc.stove: 0.7947, Acc.palm: 0.6855, Acc.kitchen island: 0.1518, Acc.computer: 0.8483, Acc.swivel chair: 0.2126, Acc.boat: 0.8361, Acc.bar: 0.0326, Acc.arcade machine: 0.2012, Acc.hovel: 0.0000, Acc.bus: 0.9209, Acc.towel: 0.8117, Acc.light: 0.7521, Acc.truck: 0.4861, Acc.tower: 0.1783, Acc.chandelier: 0.8202, Acc.awning: 0.4618, Acc.streetlight: 0.4967, Acc.booth: 0.0000, Acc.television receiver: 0.7990, Acc.airplane: 0.6480, Acc.dirt track: 0.0000, Acc.apparel: 0.2664, Acc.pole: 0.6275, Acc.land: 0.0000, Acc.bannister: 0.1860, Acc.escalator: 0.0000, Acc.ottoman: 0.6084, Acc.bottle: 0.4107, Acc.buffet: 0.0000, Acc.poster: 0.1575, Acc.stage: 0.0000, Acc.van: 0.6963, Acc.ship: 0.0000, Acc.fountain: 0.0105, Acc.conveyer belt: 0.2544, Acc.canopy: 0.0000, Acc.washer: 0.7020, Acc.plaything: 0.5004, Acc.swimming pool: 0.1679, Acc.stool: 0.2324, Acc.barrel: 0.0000, Acc.basket: 0.4026, Acc.waterfall: 0.9424, Acc.tent: 0.9773, Acc.bag: 0.1515, Acc.minibike: 0.5360, Acc.cradle: 0.2091, Acc.oven: 0.2425, Acc.ball: 0.6035, Acc.food: 0.6460, Acc.step: 0.0057, Acc.tank: 0.0000, Acc.trade name: 0.4079, Acc.microwave: 0.4479, Acc.pot: 0.5077, Acc.animal: 0.6105, Acc.bicycle: 0.8838, Acc.lake: 0.0000, Acc.dishwasher: 0.8188, Acc.screen: 0.8803, Acc.blanket: 0.0261, Acc.sculpture: 0.8121, Acc.hood: 0.5989, Acc.sconce: 0.5458, Acc.vase: 0.7364, Acc.traffic light: 0.7082, Acc.tray: 0.0297, Acc.ashcan: 0.6410, Acc.fan: 0.6767, Acc.pier: 0.0118, Acc.crt screen: 0.0000, Acc.plate: 0.6849, Acc.monitor: 0.0006, Acc.bulletin board: 0.0000, Acc.shower: 0.0018, Acc.radiator: 0.7093, Acc.glass: 0.1619, Acc.clock: 0.4270, Acc.flag: 0.5465 2023-11-11 23:39:02,798 - mmseg - INFO - Iter [6050/160000] lr: 9.622e-05, eta: 22:47:18, time: 1.019, data_time: 0.547, memory: 41146, decode.loss_cls: 0.9370, decode.loss_mask: 0.8193, decode.loss_dice: 1.1813, decode.d0.loss_cls: 1.8508, decode.d0.loss_mask: 0.8619, decode.d0.loss_dice: 1.3953, decode.d1.loss_cls: 1.0521, decode.d1.loss_mask: 0.8486, decode.d1.loss_dice: 1.2552, decode.d2.loss_cls: 0.9708, decode.d2.loss_mask: 0.8215, decode.d2.loss_dice: 1.2064, decode.d3.loss_cls: 0.9446, decode.d3.loss_mask: 0.8232, decode.d3.loss_dice: 1.1967, decode.d4.loss_cls: 0.9371, decode.d4.loss_mask: 0.8153, decode.d4.loss_dice: 1.1994, decode.d5.loss_cls: 0.9361, decode.d5.loss_mask: 0.8194, decode.d5.loss_dice: 1.1930, decode.d6.loss_cls: 0.9394, decode.d6.loss_mask: 0.8186, decode.d6.loss_dice: 1.1813, decode.d7.loss_cls: 0.9354, decode.d7.loss_mask: 0.8208, decode.d7.loss_dice: 1.1872, decode.d8.loss_cls: 0.9326, decode.d8.loss_mask: 0.8203, decode.d8.loss_dice: 1.1910, loss: 30.8915, grad_norm: 53.6582 2023-11-11 23:39:27,024 - mmseg - INFO - Iter [6100/160000] lr: 9.619e-05, eta: 22:45:50, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8977, decode.loss_mask: 0.8329, decode.loss_dice: 1.2078, decode.d0.loss_cls: 1.7867, decode.d0.loss_mask: 0.8718, decode.d0.loss_dice: 1.3895, decode.d1.loss_cls: 1.0231, decode.d1.loss_mask: 0.8646, decode.d1.loss_dice: 1.2795, decode.d2.loss_cls: 0.9354, decode.d2.loss_mask: 0.8485, decode.d2.loss_dice: 1.2283, decode.d3.loss_cls: 0.9175, decode.d3.loss_mask: 0.8353, decode.d3.loss_dice: 1.2121, decode.d4.loss_cls: 0.9063, decode.d4.loss_mask: 0.8329, decode.d4.loss_dice: 1.2122, decode.d5.loss_cls: 0.9090, decode.d5.loss_mask: 0.8330, decode.d5.loss_dice: 1.2094, decode.d6.loss_cls: 0.9025, decode.d6.loss_mask: 0.8327, decode.d6.loss_dice: 1.2074, decode.d7.loss_cls: 0.9055, decode.d7.loss_mask: 0.8294, decode.d7.loss_dice: 1.2054, decode.d8.loss_cls: 0.9051, decode.d8.loss_mask: 0.8312, decode.d8.loss_dice: 1.2084, loss: 30.8611, grad_norm: 53.9506 2023-11-11 23:39:51,448 - mmseg - INFO - Iter [6150/160000] lr: 9.616e-05, eta: 22:44:29, time: 0.489, data_time: 0.015, memory: 41146, decode.loss_cls: 0.9542, decode.loss_mask: 0.8312, decode.loss_dice: 1.2133, decode.d0.loss_cls: 1.8661, decode.d0.loss_mask: 0.8714, decode.d0.loss_dice: 1.4278, decode.d1.loss_cls: 1.0854, decode.d1.loss_mask: 0.8534, decode.d1.loss_dice: 1.2998, decode.d2.loss_cls: 1.0082, decode.d2.loss_mask: 0.8404, decode.d2.loss_dice: 1.2390, decode.d3.loss_cls: 0.9829, decode.d3.loss_mask: 0.8291, decode.d3.loss_dice: 1.2157, decode.d4.loss_cls: 0.9739, decode.d4.loss_mask: 0.8388, decode.d4.loss_dice: 1.2225, decode.d5.loss_cls: 0.9712, decode.d5.loss_mask: 0.8288, decode.d5.loss_dice: 1.2228, decode.d6.loss_cls: 0.9615, decode.d6.loss_mask: 0.8283, decode.d6.loss_dice: 1.2169, decode.d7.loss_cls: 0.9603, decode.d7.loss_mask: 0.8308, decode.d7.loss_dice: 1.2208, decode.d8.loss_cls: 0.9582, decode.d8.loss_mask: 0.8315, decode.d8.loss_dice: 1.2253, loss: 31.6099, grad_norm: 55.2400 2023-11-11 23:40:15,755 - mmseg - INFO - Iter [6200/160000] lr: 9.613e-05, eta: 22:43:05, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9418, decode.loss_mask: 0.8190, decode.loss_dice: 1.2000, decode.d0.loss_cls: 1.8674, decode.d0.loss_mask: 0.8635, decode.d0.loss_dice: 1.3998, decode.d1.loss_cls: 1.0572, decode.d1.loss_mask: 0.8531, decode.d1.loss_dice: 1.2802, decode.d2.loss_cls: 0.9689, decode.d2.loss_mask: 0.8302, decode.d2.loss_dice: 1.2294, decode.d3.loss_cls: 0.9535, decode.d3.loss_mask: 0.8249, decode.d3.loss_dice: 1.2138, decode.d4.loss_cls: 0.9496, decode.d4.loss_mask: 0.8305, decode.d4.loss_dice: 1.2137, decode.d5.loss_cls: 0.9500, decode.d5.loss_mask: 0.8307, decode.d5.loss_dice: 1.2095, decode.d6.loss_cls: 0.9484, decode.d6.loss_mask: 0.8226, decode.d6.loss_dice: 1.1990, decode.d7.loss_cls: 0.9407, decode.d7.loss_mask: 0.8255, decode.d7.loss_dice: 1.2045, decode.d8.loss_cls: 0.9397, decode.d8.loss_mask: 0.8222, decode.d8.loss_dice: 1.2007, loss: 31.1901, grad_norm: 53.9143 2023-11-11 23:40:40,132 - mmseg - INFO - Iter [6250/160000] lr: 9.609e-05, eta: 22:41:44, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9174, decode.loss_mask: 0.8453, decode.loss_dice: 1.1825, decode.d0.loss_cls: 1.8490, decode.d0.loss_mask: 0.8731, decode.d0.loss_dice: 1.3733, decode.d1.loss_cls: 1.0465, decode.d1.loss_mask: 0.8528, decode.d1.loss_dice: 1.2613, decode.d2.loss_cls: 0.9610, decode.d2.loss_mask: 0.8345, decode.d2.loss_dice: 1.2107, decode.d3.loss_cls: 0.9414, decode.d3.loss_mask: 0.8313, decode.d3.loss_dice: 1.1796, decode.d4.loss_cls: 0.9367, decode.d4.loss_mask: 0.8345, decode.d4.loss_dice: 1.1904, decode.d5.loss_cls: 0.9249, decode.d5.loss_mask: 0.8363, decode.d5.loss_dice: 1.1882, decode.d6.loss_cls: 0.9177, decode.d6.loss_mask: 0.8331, decode.d6.loss_dice: 1.1814, decode.d7.loss_cls: 0.9186, decode.d7.loss_mask: 0.8364, decode.d7.loss_dice: 1.1781, decode.d8.loss_cls: 0.9187, decode.d8.loss_mask: 0.8433, decode.d8.loss_dice: 1.1791, loss: 30.8770, grad_norm: 55.0053 2023-11-11 23:41:04,835 - mmseg - INFO - Iter [6300/160000] lr: 9.606e-05, eta: 22:40:32, time: 0.494, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9385, decode.loss_mask: 0.8013, decode.loss_dice: 1.1960, decode.d0.loss_cls: 1.8772, decode.d0.loss_mask: 0.8363, decode.d0.loss_dice: 1.3874, decode.d1.loss_cls: 1.0546, decode.d1.loss_mask: 0.8370, decode.d1.loss_dice: 1.2781, decode.d2.loss_cls: 0.9635, decode.d2.loss_mask: 0.8166, decode.d2.loss_dice: 1.2198, decode.d3.loss_cls: 0.9587, decode.d3.loss_mask: 0.8092, decode.d3.loss_dice: 1.1859, decode.d4.loss_cls: 0.9548, decode.d4.loss_mask: 0.8111, decode.d4.loss_dice: 1.1986, decode.d5.loss_cls: 0.9522, decode.d5.loss_mask: 0.8048, decode.d5.loss_dice: 1.1892, decode.d6.loss_cls: 0.9367, decode.d6.loss_mask: 0.8127, decode.d6.loss_dice: 1.1906, decode.d7.loss_cls: 0.9315, decode.d7.loss_mask: 0.8118, decode.d7.loss_dice: 1.1934, decode.d8.loss_cls: 0.9329, decode.d8.loss_mask: 0.8087, decode.d8.loss_dice: 1.1964, loss: 30.8855, grad_norm: 56.0693 2023-11-11 23:41:31,489 - mmseg - INFO - Iter [6350/160000] lr: 9.603e-05, eta: 22:40:08, time: 0.533, data_time: 0.056, memory: 41146, decode.loss_cls: 0.8802, decode.loss_mask: 0.8271, decode.loss_dice: 1.1706, decode.d0.loss_cls: 1.8111, decode.d0.loss_mask: 0.8679, decode.d0.loss_dice: 1.3706, decode.d1.loss_cls: 1.0030, decode.d1.loss_mask: 0.8546, decode.d1.loss_dice: 1.2548, decode.d2.loss_cls: 0.9212, decode.d2.loss_mask: 0.8347, decode.d2.loss_dice: 1.2055, decode.d3.loss_cls: 0.8884, decode.d3.loss_mask: 0.8340, decode.d3.loss_dice: 1.1846, decode.d4.loss_cls: 0.8868, decode.d4.loss_mask: 0.8334, decode.d4.loss_dice: 1.1885, decode.d5.loss_cls: 0.8861, decode.d5.loss_mask: 0.8283, decode.d5.loss_dice: 1.1881, decode.d6.loss_cls: 0.8759, decode.d6.loss_mask: 0.8246, decode.d6.loss_dice: 1.1737, decode.d7.loss_cls: 0.8701, decode.d7.loss_mask: 0.8272, decode.d7.loss_dice: 1.1781, decode.d8.loss_cls: 0.8773, decode.d8.loss_mask: 0.8247, decode.d8.loss_dice: 1.1823, loss: 30.3534, grad_norm: 55.0487 2023-11-11 23:41:55,785 - mmseg - INFO - Iter [6400/160000] lr: 9.600e-05, eta: 22:38:47, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8922, decode.loss_mask: 0.8109, decode.loss_dice: 1.1595, decode.d0.loss_cls: 1.8230, decode.d0.loss_mask: 0.8583, decode.d0.loss_dice: 1.3550, decode.d1.loss_cls: 1.0086, decode.d1.loss_mask: 0.8344, decode.d1.loss_dice: 1.2436, decode.d2.loss_cls: 0.9278, decode.d2.loss_mask: 0.8270, decode.d2.loss_dice: 1.1934, decode.d3.loss_cls: 0.9058, decode.d3.loss_mask: 0.8172, decode.d3.loss_dice: 1.1737, decode.d4.loss_cls: 0.9084, decode.d4.loss_mask: 0.8193, decode.d4.loss_dice: 1.1664, decode.d5.loss_cls: 0.9000, decode.d5.loss_mask: 0.8189, decode.d5.loss_dice: 1.1709, decode.d6.loss_cls: 0.8979, decode.d6.loss_mask: 0.8129, decode.d6.loss_dice: 1.1571, decode.d7.loss_cls: 0.8886, decode.d7.loss_mask: 0.8123, decode.d7.loss_dice: 1.1656, decode.d8.loss_cls: 0.8876, decode.d8.loss_mask: 0.8142, decode.d8.loss_dice: 1.1659, loss: 30.2164, grad_norm: 53.3175 2023-11-11 23:42:20,142 - mmseg - INFO - Iter [6450/160000] lr: 9.597e-05, eta: 22:37:28, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9003, decode.loss_mask: 0.8076, decode.loss_dice: 1.1683, decode.d0.loss_cls: 1.8392, decode.d0.loss_mask: 0.8492, decode.d0.loss_dice: 1.3642, decode.d1.loss_cls: 1.0310, decode.d1.loss_mask: 0.8349, decode.d1.loss_dice: 1.2604, decode.d2.loss_cls: 0.9369, decode.d2.loss_mask: 0.8202, decode.d2.loss_dice: 1.2135, decode.d3.loss_cls: 0.9235, decode.d3.loss_mask: 0.8044, decode.d3.loss_dice: 1.1861, decode.d4.loss_cls: 0.9189, decode.d4.loss_mask: 0.8047, decode.d4.loss_dice: 1.1849, decode.d5.loss_cls: 0.9076, decode.d5.loss_mask: 0.8078, decode.d5.loss_dice: 1.1850, decode.d6.loss_cls: 0.9112, decode.d6.loss_mask: 0.8061, decode.d6.loss_dice: 1.1795, decode.d7.loss_cls: 0.9010, decode.d7.loss_mask: 0.8118, decode.d7.loss_dice: 1.1832, decode.d8.loss_cls: 0.9078, decode.d8.loss_mask: 0.8093, decode.d8.loss_dice: 1.1805, loss: 30.4392, grad_norm: 51.3396 2023-11-11 23:42:44,404 - mmseg - INFO - Iter [6500/160000] lr: 9.594e-05, eta: 22:36:08, time: 0.485, data_time: 0.014, memory: 41146, decode.loss_cls: 0.9321, decode.loss_mask: 0.8045, decode.loss_dice: 1.1594, decode.d0.loss_cls: 1.8529, decode.d0.loss_mask: 0.8433, decode.d0.loss_dice: 1.3492, decode.d1.loss_cls: 1.0440, decode.d1.loss_mask: 0.8254, decode.d1.loss_dice: 1.2409, decode.d2.loss_cls: 0.9711, decode.d2.loss_mask: 0.8121, decode.d2.loss_dice: 1.1858, decode.d3.loss_cls: 0.9475, decode.d3.loss_mask: 0.8060, decode.d3.loss_dice: 1.1750, decode.d4.loss_cls: 0.9410, decode.d4.loss_mask: 0.8079, decode.d4.loss_dice: 1.1683, decode.d5.loss_cls: 0.9391, decode.d5.loss_mask: 0.7970, decode.d5.loss_dice: 1.1602, decode.d6.loss_cls: 0.9352, decode.d6.loss_mask: 0.8027, decode.d6.loss_dice: 1.1541, decode.d7.loss_cls: 0.9306, decode.d7.loss_mask: 0.8056, decode.d7.loss_dice: 1.1597, decode.d8.loss_cls: 0.9318, decode.d8.loss_mask: 0.8016, decode.d8.loss_dice: 1.1615, loss: 30.4456, grad_norm: 52.7691 2023-11-11 23:43:08,628 - mmseg - INFO - Iter [6550/160000] lr: 9.591e-05, eta: 22:34:49, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9008, decode.loss_mask: 0.8183, decode.loss_dice: 1.1729, decode.d0.loss_cls: 1.8186, decode.d0.loss_mask: 0.8577, decode.d0.loss_dice: 1.3742, decode.d1.loss_cls: 1.0199, decode.d1.loss_mask: 0.8508, decode.d1.loss_dice: 1.2598, decode.d2.loss_cls: 0.9372, decode.d2.loss_mask: 0.8337, decode.d2.loss_dice: 1.2160, decode.d3.loss_cls: 0.9159, decode.d3.loss_mask: 0.8280, decode.d3.loss_dice: 1.1861, decode.d4.loss_cls: 0.9079, decode.d4.loss_mask: 0.8297, decode.d4.loss_dice: 1.1940, decode.d5.loss_cls: 0.9007, decode.d5.loss_mask: 0.8301, decode.d5.loss_dice: 1.1874, decode.d6.loss_cls: 0.9029, decode.d6.loss_mask: 0.8210, decode.d6.loss_dice: 1.1740, decode.d7.loss_cls: 0.9075, decode.d7.loss_mask: 0.8238, decode.d7.loss_dice: 1.1738, decode.d8.loss_cls: 0.9017, decode.d8.loss_mask: 0.8274, decode.d8.loss_dice: 1.1741, loss: 30.5460, grad_norm: 52.2716 2023-11-11 23:43:33,011 - mmseg - INFO - Iter [6600/160000] lr: 9.588e-05, eta: 22:33:33, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9149, decode.loss_mask: 0.8185, decode.loss_dice: 1.1921, decode.d0.loss_cls: 1.8212, decode.d0.loss_mask: 0.8628, decode.d0.loss_dice: 1.3898, decode.d1.loss_cls: 1.0277, decode.d1.loss_mask: 0.8534, decode.d1.loss_dice: 1.2543, decode.d2.loss_cls: 0.9512, decode.d2.loss_mask: 0.8338, decode.d2.loss_dice: 1.2146, decode.d3.loss_cls: 0.9266, decode.d3.loss_mask: 0.8270, decode.d3.loss_dice: 1.2009, decode.d4.loss_cls: 0.9234, decode.d4.loss_mask: 0.8276, decode.d4.loss_dice: 1.1996, decode.d5.loss_cls: 0.9197, decode.d5.loss_mask: 0.8249, decode.d5.loss_dice: 1.1894, decode.d6.loss_cls: 0.9166, decode.d6.loss_mask: 0.8230, decode.d6.loss_dice: 1.1874, decode.d7.loss_cls: 0.9172, decode.d7.loss_mask: 0.8248, decode.d7.loss_dice: 1.1840, decode.d8.loss_cls: 0.9219, decode.d8.loss_mask: 0.8216, decode.d8.loss_dice: 1.1905, loss: 30.7604, grad_norm: 56.6461 2023-11-11 23:43:57,378 - mmseg - INFO - Iter [6650/160000] lr: 9.584e-05, eta: 22:32:18, time: 0.487, data_time: 0.014, memory: 41146, decode.loss_cls: 0.9329, decode.loss_mask: 0.8107, decode.loss_dice: 1.1799, decode.d0.loss_cls: 1.8499, decode.d0.loss_mask: 0.8422, decode.d0.loss_dice: 1.3757, decode.d1.loss_cls: 1.0539, decode.d1.loss_mask: 0.8295, decode.d1.loss_dice: 1.2633, decode.d2.loss_cls: 0.9694, decode.d2.loss_mask: 0.8114, decode.d2.loss_dice: 1.2076, decode.d3.loss_cls: 0.9434, decode.d3.loss_mask: 0.8077, decode.d3.loss_dice: 1.1906, decode.d4.loss_cls: 0.9388, decode.d4.loss_mask: 0.8108, decode.d4.loss_dice: 1.1918, decode.d5.loss_cls: 0.9350, decode.d5.loss_mask: 0.8150, decode.d5.loss_dice: 1.1862, decode.d6.loss_cls: 0.9266, decode.d6.loss_mask: 0.8052, decode.d6.loss_dice: 1.1965, decode.d7.loss_cls: 0.9286, decode.d7.loss_mask: 0.8037, decode.d7.loss_dice: 1.1952, decode.d8.loss_cls: 0.9359, decode.d8.loss_mask: 0.8109, decode.d8.loss_dice: 1.1885, loss: 30.7367, grad_norm: 53.1079 2023-11-11 23:44:21,844 - mmseg - INFO - Iter [6700/160000] lr: 9.581e-05, eta: 22:31:06, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8815, decode.loss_mask: 0.7658, decode.loss_dice: 1.1411, decode.d0.loss_cls: 1.8107, decode.d0.loss_mask: 0.8017, decode.d0.loss_dice: 1.3383, decode.d1.loss_cls: 0.9973, decode.d1.loss_mask: 0.7981, decode.d1.loss_dice: 1.2335, decode.d2.loss_cls: 0.9215, decode.d2.loss_mask: 0.7770, decode.d2.loss_dice: 1.1707, decode.d3.loss_cls: 0.9003, decode.d3.loss_mask: 0.7625, decode.d3.loss_dice: 1.1424, decode.d4.loss_cls: 0.9059, decode.d4.loss_mask: 0.7649, decode.d4.loss_dice: 1.1389, decode.d5.loss_cls: 0.8924, decode.d5.loss_mask: 0.7625, decode.d5.loss_dice: 1.1377, decode.d6.loss_cls: 0.8866, decode.d6.loss_mask: 0.7677, decode.d6.loss_dice: 1.1329, decode.d7.loss_cls: 0.8853, decode.d7.loss_mask: 0.7653, decode.d7.loss_dice: 1.1330, decode.d8.loss_cls: 0.8801, decode.d8.loss_mask: 0.7644, decode.d8.loss_dice: 1.1359, loss: 29.3958, grad_norm: 48.6803 2023-11-11 23:44:46,406 - mmseg - INFO - Iter [6750/160000] lr: 9.578e-05, eta: 22:29:57, time: 0.491, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8644, decode.loss_mask: 0.8077, decode.loss_dice: 1.1348, decode.d0.loss_cls: 1.7959, decode.d0.loss_mask: 0.8524, decode.d0.loss_dice: 1.3375, decode.d1.loss_cls: 0.9800, decode.d1.loss_mask: 0.8403, decode.d1.loss_dice: 1.2132, decode.d2.loss_cls: 0.9097, decode.d2.loss_mask: 0.8240, decode.d2.loss_dice: 1.1611, decode.d3.loss_cls: 0.8824, decode.d3.loss_mask: 0.8119, decode.d3.loss_dice: 1.1427, decode.d4.loss_cls: 0.8830, decode.d4.loss_mask: 0.8108, decode.d4.loss_dice: 1.1427, decode.d5.loss_cls: 0.8799, decode.d5.loss_mask: 0.8068, decode.d5.loss_dice: 1.1441, decode.d6.loss_cls: 0.8748, decode.d6.loss_mask: 0.8089, decode.d6.loss_dice: 1.1368, decode.d7.loss_cls: 0.8705, decode.d7.loss_mask: 0.8111, decode.d7.loss_dice: 1.1383, decode.d8.loss_cls: 0.8620, decode.d8.loss_mask: 0.8097, decode.d8.loss_dice: 1.1384, loss: 29.6758, grad_norm: 53.5341 2023-11-11 23:45:10,668 - mmseg - INFO - Iter [6800/160000] lr: 9.575e-05, eta: 22:28:42, time: 0.485, data_time: 0.014, memory: 41146, decode.loss_cls: 0.8848, decode.loss_mask: 0.8007, decode.loss_dice: 1.2064, decode.d0.loss_cls: 1.8126, decode.d0.loss_mask: 0.8361, decode.d0.loss_dice: 1.3891, decode.d1.loss_cls: 1.0011, decode.d1.loss_mask: 0.8255, decode.d1.loss_dice: 1.2858, decode.d2.loss_cls: 0.9197, decode.d2.loss_mask: 0.8126, decode.d2.loss_dice: 1.2289, decode.d3.loss_cls: 0.8926, decode.d3.loss_mask: 0.8036, decode.d3.loss_dice: 1.2070, decode.d4.loss_cls: 0.8914, decode.d4.loss_mask: 0.8009, decode.d4.loss_dice: 1.2102, decode.d5.loss_cls: 0.8907, decode.d5.loss_mask: 0.7983, decode.d5.loss_dice: 1.2024, decode.d6.loss_cls: 0.8892, decode.d6.loss_mask: 0.8005, decode.d6.loss_dice: 1.2005, decode.d7.loss_cls: 0.8774, decode.d7.loss_mask: 0.8040, decode.d7.loss_dice: 1.2114, decode.d8.loss_cls: 0.8799, decode.d8.loss_mask: 0.8043, decode.d8.loss_dice: 1.2047, loss: 30.3724, grad_norm: 50.2578 2023-11-11 23:45:35,048 - mmseg - INFO - Iter [6850/160000] lr: 9.572e-05, eta: 22:27:30, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8576, decode.loss_mask: 0.7965, decode.loss_dice: 1.1624, decode.d0.loss_cls: 1.8205, decode.d0.loss_mask: 0.8443, decode.d0.loss_dice: 1.3494, decode.d1.loss_cls: 0.9873, decode.d1.loss_mask: 0.8217, decode.d1.loss_dice: 1.2564, decode.d2.loss_cls: 0.9082, decode.d2.loss_mask: 0.8045, decode.d2.loss_dice: 1.1942, decode.d3.loss_cls: 0.8781, decode.d3.loss_mask: 0.8032, decode.d3.loss_dice: 1.1701, decode.d4.loss_cls: 0.8772, decode.d4.loss_mask: 0.8058, decode.d4.loss_dice: 1.1713, decode.d5.loss_cls: 0.8739, decode.d5.loss_mask: 0.7944, decode.d5.loss_dice: 1.1721, decode.d6.loss_cls: 0.8675, decode.d6.loss_mask: 0.7982, decode.d6.loss_dice: 1.1620, decode.d7.loss_cls: 0.8622, decode.d7.loss_mask: 0.8037, decode.d7.loss_dice: 1.1651, decode.d8.loss_cls: 0.8717, decode.d8.loss_mask: 0.8005, decode.d8.loss_dice: 1.1563, loss: 29.8366, grad_norm: 51.5725 2023-11-11 23:45:59,309 - mmseg - INFO - Iter [6900/160000] lr: 9.569e-05, eta: 22:26:16, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8547, decode.loss_mask: 0.8146, decode.loss_dice: 1.1541, decode.d0.loss_cls: 1.7852, decode.d0.loss_mask: 0.8489, decode.d0.loss_dice: 1.3432, decode.d1.loss_cls: 0.9699, decode.d1.loss_mask: 0.8347, decode.d1.loss_dice: 1.2288, decode.d2.loss_cls: 0.8957, decode.d2.loss_mask: 0.8111, decode.d2.loss_dice: 1.1838, decode.d3.loss_cls: 0.8787, decode.d3.loss_mask: 0.8100, decode.d3.loss_dice: 1.1569, decode.d4.loss_cls: 0.8658, decode.d4.loss_mask: 0.8184, decode.d4.loss_dice: 1.1652, decode.d5.loss_cls: 0.8685, decode.d5.loss_mask: 0.8140, decode.d5.loss_dice: 1.1528, decode.d6.loss_cls: 0.8657, decode.d6.loss_mask: 0.8095, decode.d6.loss_dice: 1.1422, decode.d7.loss_cls: 0.8583, decode.d7.loss_mask: 0.8168, decode.d7.loss_dice: 1.1465, decode.d8.loss_cls: 0.8558, decode.d8.loss_mask: 0.8177, decode.d8.loss_dice: 1.1453, loss: 29.7127, grad_norm: 56.5078 2023-11-11 23:46:23,506 - mmseg - INFO - Iter [6950/160000] lr: 9.566e-05, eta: 22:25:02, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 0.8966, decode.loss_mask: 0.8208, decode.loss_dice: 1.1478, decode.d0.loss_cls: 1.8234, decode.d0.loss_mask: 0.8513, decode.d0.loss_dice: 1.3362, decode.d1.loss_cls: 1.0112, decode.d1.loss_mask: 0.8436, decode.d1.loss_dice: 1.2296, decode.d2.loss_cls: 0.9316, decode.d2.loss_mask: 0.8265, decode.d2.loss_dice: 1.1713, decode.d3.loss_cls: 0.9089, decode.d3.loss_mask: 0.8244, decode.d3.loss_dice: 1.1599, decode.d4.loss_cls: 0.9113, decode.d4.loss_mask: 0.8214, decode.d4.loss_dice: 1.1560, decode.d5.loss_cls: 0.9044, decode.d5.loss_mask: 0.8204, decode.d5.loss_dice: 1.1609, decode.d6.loss_cls: 0.8911, decode.d6.loss_mask: 0.8194, decode.d6.loss_dice: 1.1436, decode.d7.loss_cls: 0.8895, decode.d7.loss_mask: 0.8229, decode.d7.loss_dice: 1.1531, decode.d8.loss_cls: 0.8930, decode.d8.loss_mask: 0.8263, decode.d8.loss_dice: 1.1490, loss: 30.1449, grad_norm: 56.3967 2023-11-11 23:46:47,651 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-11 23:46:47,651 - mmseg - INFO - Iter [7000/160000] lr: 9.563e-05, eta: 22:23:47, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8741, decode.loss_mask: 0.7804, decode.loss_dice: 1.1678, decode.d0.loss_cls: 1.8263, decode.d0.loss_mask: 0.8091, decode.d0.loss_dice: 1.3494, decode.d1.loss_cls: 0.9971, decode.d1.loss_mask: 0.8017, decode.d1.loss_dice: 1.2409, decode.d2.loss_cls: 0.9249, decode.d2.loss_mask: 0.7829, decode.d2.loss_dice: 1.1871, decode.d3.loss_cls: 0.8982, decode.d3.loss_mask: 0.7821, decode.d3.loss_dice: 1.1640, decode.d4.loss_cls: 0.8944, decode.d4.loss_mask: 0.7817, decode.d4.loss_dice: 1.1647, decode.d5.loss_cls: 0.8825, decode.d5.loss_mask: 0.7773, decode.d5.loss_dice: 1.1663, decode.d6.loss_cls: 0.8783, decode.d6.loss_mask: 0.7738, decode.d6.loss_dice: 1.1602, decode.d7.loss_cls: 0.8803, decode.d7.loss_mask: 0.7757, decode.d7.loss_dice: 1.1624, decode.d8.loss_cls: 0.8744, decode.d8.loss_mask: 0.7787, decode.d8.loss_dice: 1.1681, loss: 29.7048, grad_norm: 50.2214 2023-11-11 23:47:12,015 - mmseg - INFO - Iter [7050/160000] lr: 9.559e-05, eta: 22:22:37, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9066, decode.loss_mask: 0.8022, decode.loss_dice: 1.1697, decode.d0.loss_cls: 1.8538, decode.d0.loss_mask: 0.8423, decode.d0.loss_dice: 1.3552, decode.d1.loss_cls: 1.0134, decode.d1.loss_mask: 0.8408, decode.d1.loss_dice: 1.2503, decode.d2.loss_cls: 0.9393, decode.d2.loss_mask: 0.8086, decode.d2.loss_dice: 1.2020, decode.d3.loss_cls: 0.9247, decode.d3.loss_mask: 0.8112, decode.d3.loss_dice: 1.1796, decode.d4.loss_cls: 0.9179, decode.d4.loss_mask: 0.8113, decode.d4.loss_dice: 1.1816, decode.d5.loss_cls: 0.9211, decode.d5.loss_mask: 0.8123, decode.d5.loss_dice: 1.1745, decode.d6.loss_cls: 0.9126, decode.d6.loss_mask: 0.8071, decode.d6.loss_dice: 1.1720, decode.d7.loss_cls: 0.9178, decode.d7.loss_mask: 0.8118, decode.d7.loss_dice: 1.1773, decode.d8.loss_cls: 0.9066, decode.d8.loss_mask: 0.8064, decode.d8.loss_dice: 1.1751, loss: 30.4052, grad_norm: 54.7684 2023-11-11 23:47:36,390 - mmseg - INFO - Iter [7100/160000] lr: 9.556e-05, eta: 22:21:29, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.9089, decode.loss_mask: 0.8134, decode.loss_dice: 1.1730, decode.d0.loss_cls: 1.8639, decode.d0.loss_mask: 0.8446, decode.d0.loss_dice: 1.3555, decode.d1.loss_cls: 1.0311, decode.d1.loss_mask: 0.8388, decode.d1.loss_dice: 1.2568, decode.d2.loss_cls: 0.9547, decode.d2.loss_mask: 0.8281, decode.d2.loss_dice: 1.1914, decode.d3.loss_cls: 0.9226, decode.d3.loss_mask: 0.8192, decode.d3.loss_dice: 1.1787, decode.d4.loss_cls: 0.9155, decode.d4.loss_mask: 0.8183, decode.d4.loss_dice: 1.1823, decode.d5.loss_cls: 0.9206, decode.d5.loss_mask: 0.8166, decode.d5.loss_dice: 1.1799, decode.d6.loss_cls: 0.9114, decode.d6.loss_mask: 0.8133, decode.d6.loss_dice: 1.1773, decode.d7.loss_cls: 0.9167, decode.d7.loss_mask: 0.8153, decode.d7.loss_dice: 1.1764, decode.d8.loss_cls: 0.9049, decode.d8.loss_mask: 0.8155, decode.d8.loss_dice: 1.1729, loss: 30.5175, grad_norm: 54.5578 2023-11-11 23:48:00,965 - mmseg - INFO - Iter [7150/160000] lr: 9.553e-05, eta: 22:20:25, time: 0.492, data_time: 0.014, memory: 41146, decode.loss_cls: 0.8486, decode.loss_mask: 0.8179, decode.loss_dice: 1.1779, decode.d0.loss_cls: 1.7794, decode.d0.loss_mask: 0.8488, decode.d0.loss_dice: 1.3600, decode.d1.loss_cls: 0.9783, decode.d1.loss_mask: 0.8330, decode.d1.loss_dice: 1.2576, decode.d2.loss_cls: 0.8925, decode.d2.loss_mask: 0.8189, decode.d2.loss_dice: 1.2071, decode.d3.loss_cls: 0.8682, decode.d3.loss_mask: 0.8169, decode.d3.loss_dice: 1.1798, decode.d4.loss_cls: 0.8692, decode.d4.loss_mask: 0.8157, decode.d4.loss_dice: 1.1791, decode.d5.loss_cls: 0.8590, decode.d5.loss_mask: 0.8167, decode.d5.loss_dice: 1.1853, decode.d6.loss_cls: 0.8603, decode.d6.loss_mask: 0.8124, decode.d6.loss_dice: 1.1806, decode.d7.loss_cls: 0.8488, decode.d7.loss_mask: 0.8177, decode.d7.loss_dice: 1.1781, decode.d8.loss_cls: 0.8486, decode.d8.loss_mask: 0.8158, decode.d8.loss_dice: 1.1703, loss: 29.9425, grad_norm: 52.7087 2023-11-11 23:48:25,214 - mmseg - INFO - Iter [7200/160000] lr: 9.550e-05, eta: 22:19:15, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8885, decode.loss_mask: 0.8312, decode.loss_dice: 1.2002, decode.d0.loss_cls: 1.8221, decode.d0.loss_mask: 0.8670, decode.d0.loss_dice: 1.3926, decode.d1.loss_cls: 1.0332, decode.d1.loss_mask: 0.8572, decode.d1.loss_dice: 1.2752, decode.d2.loss_cls: 0.9488, decode.d2.loss_mask: 0.8382, decode.d2.loss_dice: 1.2246, decode.d3.loss_cls: 0.9186, decode.d3.loss_mask: 0.8349, decode.d3.loss_dice: 1.2056, decode.d4.loss_cls: 0.9088, decode.d4.loss_mask: 0.8389, decode.d4.loss_dice: 1.2000, decode.d5.loss_cls: 0.9137, decode.d5.loss_mask: 0.8334, decode.d5.loss_dice: 1.2026, decode.d6.loss_cls: 0.9116, decode.d6.loss_mask: 0.8235, decode.d6.loss_dice: 1.1912, decode.d7.loss_cls: 0.9020, decode.d7.loss_mask: 0.8288, decode.d7.loss_dice: 1.2017, decode.d8.loss_cls: 0.8992, decode.d8.loss_mask: 0.8274, decode.d8.loss_dice: 1.1979, loss: 30.8185, grad_norm: 53.5414 2023-11-11 23:48:49,334 - mmseg - INFO - Iter [7250/160000] lr: 9.547e-05, eta: 22:18:03, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8938, decode.loss_mask: 0.7952, decode.loss_dice: 1.1818, decode.d0.loss_cls: 1.8463, decode.d0.loss_mask: 0.8217, decode.d0.loss_dice: 1.3769, decode.d1.loss_cls: 1.0324, decode.d1.loss_mask: 0.8212, decode.d1.loss_dice: 1.2634, decode.d2.loss_cls: 0.9492, decode.d2.loss_mask: 0.7904, decode.d2.loss_dice: 1.2129, decode.d3.loss_cls: 0.9248, decode.d3.loss_mask: 0.7850, decode.d3.loss_dice: 1.1869, decode.d4.loss_cls: 0.9123, decode.d4.loss_mask: 0.7809, decode.d4.loss_dice: 1.1896, decode.d5.loss_cls: 0.9068, decode.d5.loss_mask: 0.7839, decode.d5.loss_dice: 1.1782, decode.d6.loss_cls: 0.8956, decode.d6.loss_mask: 0.7839, decode.d6.loss_dice: 1.1823, decode.d7.loss_cls: 0.8998, decode.d7.loss_mask: 0.7870, decode.d7.loss_dice: 1.1875, decode.d8.loss_cls: 0.8998, decode.d8.loss_mask: 0.7885, decode.d8.loss_dice: 1.1854, loss: 30.2433, grad_norm: 50.3526 2023-11-11 23:49:13,416 - mmseg - INFO - Iter [7300/160000] lr: 9.544e-05, eta: 22:16:51, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8399, decode.loss_mask: 0.8227, decode.loss_dice: 1.1519, decode.d0.loss_cls: 1.7607, decode.d0.loss_mask: 0.8590, decode.d0.loss_dice: 1.3308, decode.d1.loss_cls: 0.9595, decode.d1.loss_mask: 0.8470, decode.d1.loss_dice: 1.2391, decode.d2.loss_cls: 0.8843, decode.d2.loss_mask: 0.8346, decode.d2.loss_dice: 1.1778, decode.d3.loss_cls: 0.8606, decode.d3.loss_mask: 0.8245, decode.d3.loss_dice: 1.1556, decode.d4.loss_cls: 0.8557, decode.d4.loss_mask: 0.8216, decode.d4.loss_dice: 1.1589, decode.d5.loss_cls: 0.8470, decode.d5.loss_mask: 0.8199, decode.d5.loss_dice: 1.1584, decode.d6.loss_cls: 0.8472, decode.d6.loss_mask: 0.8215, decode.d6.loss_dice: 1.1452, decode.d7.loss_cls: 0.8383, decode.d7.loss_mask: 0.8210, decode.d7.loss_dice: 1.1494, decode.d8.loss_cls: 0.8372, decode.d8.loss_mask: 0.8210, decode.d8.loss_dice: 1.1512, loss: 29.6413, grad_norm: 50.1820 2023-11-11 23:49:37,644 - mmseg - INFO - Iter [7350/160000] lr: 9.541e-05, eta: 22:15:42, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.8565, decode.loss_mask: 0.8093, decode.loss_dice: 1.1758, decode.d0.loss_cls: 1.8006, decode.d0.loss_mask: 0.8472, decode.d0.loss_dice: 1.3544, decode.d1.loss_cls: 0.9975, decode.d1.loss_mask: 0.8299, decode.d1.loss_dice: 1.2500, decode.d2.loss_cls: 0.9077, decode.d2.loss_mask: 0.8098, decode.d2.loss_dice: 1.2067, decode.d3.loss_cls: 0.8806, decode.d3.loss_mask: 0.8047, decode.d3.loss_dice: 1.1865, decode.d4.loss_cls: 0.8780, decode.d4.loss_mask: 0.8072, decode.d4.loss_dice: 1.1814, decode.d5.loss_cls: 0.8687, decode.d5.loss_mask: 0.8084, decode.d5.loss_dice: 1.1820, decode.d6.loss_cls: 0.8652, decode.d6.loss_mask: 0.8048, decode.d6.loss_dice: 1.1699, decode.d7.loss_cls: 0.8527, decode.d7.loss_mask: 0.8054, decode.d7.loss_dice: 1.1730, decode.d8.loss_cls: 0.8503, decode.d8.loss_mask: 0.8059, decode.d8.loss_dice: 1.1826, loss: 29.9527, grad_norm: 50.5098 2023-11-11 23:50:01,853 - mmseg - INFO - Iter [7400/160000] lr: 9.538e-05, eta: 22:14:34, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8285, decode.loss_mask: 0.8160, decode.loss_dice: 1.1257, decode.d0.loss_cls: 1.7212, decode.d0.loss_mask: 0.8481, decode.d0.loss_dice: 1.3025, decode.d1.loss_cls: 0.9432, decode.d1.loss_mask: 0.8302, decode.d1.loss_dice: 1.2051, decode.d2.loss_cls: 0.8614, decode.d2.loss_mask: 0.8142, decode.d2.loss_dice: 1.1511, decode.d3.loss_cls: 0.8451, decode.d3.loss_mask: 0.8056, decode.d3.loss_dice: 1.1359, decode.d4.loss_cls: 0.8373, decode.d4.loss_mask: 0.8114, decode.d4.loss_dice: 1.1363, decode.d5.loss_cls: 0.8403, decode.d5.loss_mask: 0.8057, decode.d5.loss_dice: 1.1327, decode.d6.loss_cls: 0.8352, decode.d6.loss_mask: 0.8056, decode.d6.loss_dice: 1.1279, decode.d7.loss_cls: 0.8270, decode.d7.loss_mask: 0.8097, decode.d7.loss_dice: 1.1288, decode.d8.loss_cls: 0.8257, decode.d8.loss_mask: 0.8132, decode.d8.loss_dice: 1.1270, loss: 29.0978, grad_norm: 54.5466 2023-11-11 23:50:26,011 - mmseg - INFO - Iter [7450/160000] lr: 9.534e-05, eta: 22:13:25, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.8796, decode.loss_mask: 0.8024, decode.loss_dice: 1.1608, decode.d0.loss_cls: 1.7995, decode.d0.loss_mask: 0.8429, decode.d0.loss_dice: 1.3480, decode.d1.loss_cls: 1.0017, decode.d1.loss_mask: 0.8391, decode.d1.loss_dice: 1.2397, decode.d2.loss_cls: 0.9159, decode.d2.loss_mask: 0.8151, decode.d2.loss_dice: 1.1826, decode.d3.loss_cls: 0.9008, decode.d3.loss_mask: 0.8075, decode.d3.loss_dice: 1.1721, decode.d4.loss_cls: 0.8918, decode.d4.loss_mask: 0.8124, decode.d4.loss_dice: 1.1674, decode.d5.loss_cls: 0.8903, decode.d5.loss_mask: 0.8036, decode.d5.loss_dice: 1.1642, decode.d6.loss_cls: 0.8751, decode.d6.loss_mask: 0.8047, decode.d6.loss_dice: 1.1522, decode.d7.loss_cls: 0.8754, decode.d7.loss_mask: 0.8042, decode.d7.loss_dice: 1.1546, decode.d8.loss_cls: 0.8785, decode.d8.loss_mask: 0.8110, decode.d8.loss_dice: 1.1557, loss: 29.9486, grad_norm: 54.2854 2023-11-11 23:50:50,381 - mmseg - INFO - Iter [7500/160000] lr: 9.531e-05, eta: 22:12:21, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8964, decode.loss_mask: 0.7958, decode.loss_dice: 1.1613, decode.d0.loss_cls: 1.8350, decode.d0.loss_mask: 0.8467, decode.d0.loss_dice: 1.3523, decode.d1.loss_cls: 1.0200, decode.d1.loss_mask: 0.8383, decode.d1.loss_dice: 1.2643, decode.d2.loss_cls: 0.9332, decode.d2.loss_mask: 0.8154, decode.d2.loss_dice: 1.2124, decode.d3.loss_cls: 0.9123, decode.d3.loss_mask: 0.7998, decode.d3.loss_dice: 1.1844, decode.d4.loss_cls: 0.9050, decode.d4.loss_mask: 0.8017, decode.d4.loss_dice: 1.1780, decode.d5.loss_cls: 0.8978, decode.d5.loss_mask: 0.8041, decode.d5.loss_dice: 1.1748, decode.d6.loss_cls: 0.8911, decode.d6.loss_mask: 0.7941, decode.d6.loss_dice: 1.1669, decode.d7.loss_cls: 0.8906, decode.d7.loss_mask: 0.7946, decode.d7.loss_dice: 1.1681, decode.d8.loss_cls: 0.8876, decode.d8.loss_mask: 0.7965, decode.d8.loss_dice: 1.1663, loss: 30.1848, grad_norm: 50.4350 2023-11-11 23:51:15,153 - mmseg - INFO - Iter [7550/160000] lr: 9.528e-05, eta: 22:11:26, time: 0.495, data_time: 0.014, memory: 41146, decode.loss_cls: 0.8434, decode.loss_mask: 0.7998, decode.loss_dice: 1.1450, decode.d0.loss_cls: 1.7532, decode.d0.loss_mask: 0.8364, decode.d0.loss_dice: 1.3103, decode.d1.loss_cls: 0.9643, decode.d1.loss_mask: 0.8284, decode.d1.loss_dice: 1.2083, decode.d2.loss_cls: 0.8828, decode.d2.loss_mask: 0.8097, decode.d2.loss_dice: 1.1679, decode.d3.loss_cls: 0.8663, decode.d3.loss_mask: 0.8033, decode.d3.loss_dice: 1.1418, decode.d4.loss_cls: 0.8622, decode.d4.loss_mask: 0.8027, decode.d4.loss_dice: 1.1455, decode.d5.loss_cls: 0.8519, decode.d5.loss_mask: 0.8071, decode.d5.loss_dice: 1.1460, decode.d6.loss_cls: 0.8554, decode.d6.loss_mask: 0.8074, decode.d6.loss_dice: 1.1422, decode.d7.loss_cls: 0.8484, decode.d7.loss_mask: 0.8033, decode.d7.loss_dice: 1.1442, decode.d8.loss_cls: 0.8430, decode.d8.loss_mask: 0.8081, decode.d8.loss_dice: 1.1530, loss: 29.3818, grad_norm: 51.3279 2023-11-11 23:51:41,540 - mmseg - INFO - Iter [7600/160000] lr: 9.525e-05, eta: 22:11:04, time: 0.528, data_time: 0.061, memory: 41146, decode.loss_cls: 0.8482, decode.loss_mask: 0.7850, decode.loss_dice: 1.1676, decode.d0.loss_cls: 1.8011, decode.d0.loss_mask: 0.8206, decode.d0.loss_dice: 1.3479, decode.d1.loss_cls: 0.9763, decode.d1.loss_mask: 0.8197, decode.d1.loss_dice: 1.2570, decode.d2.loss_cls: 0.8929, decode.d2.loss_mask: 0.7980, decode.d2.loss_dice: 1.1964, decode.d3.loss_cls: 0.8779, decode.d3.loss_mask: 0.7841, decode.d3.loss_dice: 1.1713, decode.d4.loss_cls: 0.8696, decode.d4.loss_mask: 0.7907, decode.d4.loss_dice: 1.1770, decode.d5.loss_cls: 0.8684, decode.d5.loss_mask: 0.7854, decode.d5.loss_dice: 1.1800, decode.d6.loss_cls: 0.8564, decode.d6.loss_mask: 0.7860, decode.d6.loss_dice: 1.1731, decode.d7.loss_cls: 0.8489, decode.d7.loss_mask: 0.7869, decode.d7.loss_dice: 1.1738, decode.d8.loss_cls: 0.8480, decode.d8.loss_mask: 0.7935, decode.d8.loss_dice: 1.1703, loss: 29.6520, grad_norm: 51.7450 2023-11-11 23:52:05,730 - mmseg - INFO - Iter [7650/160000] lr: 9.522e-05, eta: 22:09:57, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.8505, decode.loss_mask: 0.7718, decode.loss_dice: 1.1436, decode.d0.loss_cls: 1.7909, decode.d0.loss_mask: 0.8182, decode.d0.loss_dice: 1.3227, decode.d1.loss_cls: 0.9597, decode.d1.loss_mask: 0.7994, decode.d1.loss_dice: 1.2215, decode.d2.loss_cls: 0.8902, decode.d2.loss_mask: 0.7847, decode.d2.loss_dice: 1.1830, decode.d3.loss_cls: 0.8761, decode.d3.loss_mask: 0.7768, decode.d3.loss_dice: 1.1526, decode.d4.loss_cls: 0.8606, decode.d4.loss_mask: 0.7781, decode.d4.loss_dice: 1.1496, decode.d5.loss_cls: 0.8585, decode.d5.loss_mask: 0.7781, decode.d5.loss_dice: 1.1524, decode.d6.loss_cls: 0.8566, decode.d6.loss_mask: 0.7745, decode.d6.loss_dice: 1.1436, decode.d7.loss_cls: 0.8489, decode.d7.loss_mask: 0.7727, decode.d7.loss_dice: 1.1418, decode.d8.loss_cls: 0.8396, decode.d8.loss_mask: 0.7757, decode.d8.loss_dice: 1.1517, loss: 29.2240, grad_norm: 48.6446 2023-11-11 23:52:29,898 - mmseg - INFO - Iter [7700/160000] lr: 9.519e-05, eta: 22:08:51, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8703, decode.loss_mask: 0.7906, decode.loss_dice: 1.1530, decode.d0.loss_cls: 1.8050, decode.d0.loss_mask: 0.8245, decode.d0.loss_dice: 1.3426, decode.d1.loss_cls: 0.9744, decode.d1.loss_mask: 0.8208, decode.d1.loss_dice: 1.2257, decode.d2.loss_cls: 0.9013, decode.d2.loss_mask: 0.8033, decode.d2.loss_dice: 1.1805, decode.d3.loss_cls: 0.8920, decode.d3.loss_mask: 0.7950, decode.d3.loss_dice: 1.1623, decode.d4.loss_cls: 0.8842, decode.d4.loss_mask: 0.7955, decode.d4.loss_dice: 1.1611, decode.d5.loss_cls: 0.8769, decode.d5.loss_mask: 0.7948, decode.d5.loss_dice: 1.1638, decode.d6.loss_cls: 0.8778, decode.d6.loss_mask: 0.7908, decode.d6.loss_dice: 1.1609, decode.d7.loss_cls: 0.8701, decode.d7.loss_mask: 0.7964, decode.d7.loss_dice: 1.1558, decode.d8.loss_cls: 0.8622, decode.d8.loss_mask: 0.7931, decode.d8.loss_dice: 1.1580, loss: 29.6825, grad_norm: 51.7027 2023-11-11 23:52:54,025 - mmseg - INFO - Iter [7750/160000] lr: 9.516e-05, eta: 22:07:45, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.8042, decode.loss_mask: 0.7915, decode.loss_dice: 1.1200, decode.d0.loss_cls: 1.7295, decode.d0.loss_mask: 0.8338, decode.d0.loss_dice: 1.2922, decode.d1.loss_cls: 0.9363, decode.d1.loss_mask: 0.8168, decode.d1.loss_dice: 1.2010, decode.d2.loss_cls: 0.8581, decode.d2.loss_mask: 0.8015, decode.d2.loss_dice: 1.1624, decode.d3.loss_cls: 0.8311, decode.d3.loss_mask: 0.7926, decode.d3.loss_dice: 1.1256, decode.d4.loss_cls: 0.8313, decode.d4.loss_mask: 0.7901, decode.d4.loss_dice: 1.1269, decode.d5.loss_cls: 0.8244, decode.d5.loss_mask: 0.7830, decode.d5.loss_dice: 1.1275, decode.d6.loss_cls: 0.8169, decode.d6.loss_mask: 0.7833, decode.d6.loss_dice: 1.1201, decode.d7.loss_cls: 0.8120, decode.d7.loss_mask: 0.7872, decode.d7.loss_dice: 1.1229, decode.d8.loss_cls: 0.7962, decode.d8.loss_mask: 0.7919, decode.d8.loss_dice: 1.1330, loss: 28.7434, grad_norm: 52.2520 2023-11-11 23:53:18,273 - mmseg - INFO - Iter [7800/160000] lr: 9.513e-05, eta: 22:06:41, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8013, decode.loss_mask: 0.8106, decode.loss_dice: 1.1327, decode.d0.loss_cls: 1.7203, decode.d0.loss_mask: 0.8569, decode.d0.loss_dice: 1.3011, decode.d1.loss_cls: 0.9125, decode.d1.loss_mask: 0.8340, decode.d1.loss_dice: 1.2061, decode.d2.loss_cls: 0.8354, decode.d2.loss_mask: 0.8212, decode.d2.loss_dice: 1.1666, decode.d3.loss_cls: 0.8140, decode.d3.loss_mask: 0.8179, decode.d3.loss_dice: 1.1459, decode.d4.loss_cls: 0.8033, decode.d4.loss_mask: 0.8171, decode.d4.loss_dice: 1.1386, decode.d5.loss_cls: 0.8044, decode.d5.loss_mask: 0.8149, decode.d5.loss_dice: 1.1427, decode.d6.loss_cls: 0.8033, decode.d6.loss_mask: 0.8152, decode.d6.loss_dice: 1.1322, decode.d7.loss_cls: 0.7994, decode.d7.loss_mask: 0.8145, decode.d7.loss_dice: 1.1302, decode.d8.loss_cls: 0.8028, decode.d8.loss_mask: 0.8180, decode.d8.loss_dice: 1.1352, loss: 28.9484, grad_norm: 54.0368 2023-11-11 23:53:42,423 - mmseg - INFO - Iter [7850/160000] lr: 9.509e-05, eta: 22:05:36, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.8307, decode.loss_mask: 0.7894, decode.loss_dice: 1.1353, decode.d0.loss_cls: 1.8020, decode.d0.loss_mask: 0.8431, decode.d0.loss_dice: 1.3202, decode.d1.loss_cls: 0.9771, decode.d1.loss_mask: 0.8189, decode.d1.loss_dice: 1.2152, decode.d2.loss_cls: 0.8750, decode.d2.loss_mask: 0.8036, decode.d2.loss_dice: 1.1735, decode.d3.loss_cls: 0.8618, decode.d3.loss_mask: 0.7964, decode.d3.loss_dice: 1.1413, decode.d4.loss_cls: 0.8512, decode.d4.loss_mask: 0.7990, decode.d4.loss_dice: 1.1515, decode.d5.loss_cls: 0.8449, decode.d5.loss_mask: 0.7943, decode.d5.loss_dice: 1.1451, decode.d6.loss_cls: 0.8387, decode.d6.loss_mask: 0.7955, decode.d6.loss_dice: 1.1370, decode.d7.loss_cls: 0.8343, decode.d7.loss_mask: 0.7907, decode.d7.loss_dice: 1.1368, decode.d8.loss_cls: 0.8371, decode.d8.loss_mask: 0.7869, decode.d8.loss_dice: 1.1365, loss: 29.2629, grad_norm: 52.1291 2023-11-11 23:54:06,629 - mmseg - INFO - Iter [7900/160000] lr: 9.506e-05, eta: 22:04:33, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 0.8445, decode.loss_mask: 0.7968, decode.loss_dice: 1.1208, decode.d0.loss_cls: 1.7851, decode.d0.loss_mask: 0.8377, decode.d0.loss_dice: 1.3047, decode.d1.loss_cls: 0.9529, decode.d1.loss_mask: 0.8270, decode.d1.loss_dice: 1.2009, decode.d2.loss_cls: 0.8854, decode.d2.loss_mask: 0.8040, decode.d2.loss_dice: 1.1523, decode.d3.loss_cls: 0.8640, decode.d3.loss_mask: 0.8001, decode.d3.loss_dice: 1.1218, decode.d4.loss_cls: 0.8545, decode.d4.loss_mask: 0.8059, decode.d4.loss_dice: 1.1205, decode.d5.loss_cls: 0.8488, decode.d5.loss_mask: 0.8028, decode.d5.loss_dice: 1.1246, decode.d6.loss_cls: 0.8399, decode.d6.loss_mask: 0.7978, decode.d6.loss_dice: 1.1205, decode.d7.loss_cls: 0.8417, decode.d7.loss_mask: 0.7983, decode.d7.loss_dice: 1.1143, decode.d8.loss_cls: 0.8421, decode.d8.loss_mask: 0.8017, decode.d8.loss_dice: 1.1173, loss: 29.1285, grad_norm: 51.8709 2023-11-11 23:54:30,957 - mmseg - INFO - Iter [7950/160000] lr: 9.503e-05, eta: 22:03:32, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8247, decode.loss_mask: 0.8030, decode.loss_dice: 1.1199, decode.d0.loss_cls: 1.7636, decode.d0.loss_mask: 0.8417, decode.d0.loss_dice: 1.3034, decode.d1.loss_cls: 0.9369, decode.d1.loss_mask: 0.8303, decode.d1.loss_dice: 1.2038, decode.d2.loss_cls: 0.8694, decode.d2.loss_mask: 0.8121, decode.d2.loss_dice: 1.1684, decode.d3.loss_cls: 0.8498, decode.d3.loss_mask: 0.8027, decode.d3.loss_dice: 1.1400, decode.d4.loss_cls: 0.8410, decode.d4.loss_mask: 0.8095, decode.d4.loss_dice: 1.1437, decode.d5.loss_cls: 0.8434, decode.d5.loss_mask: 0.8035, decode.d5.loss_dice: 1.1393, decode.d6.loss_cls: 0.8315, decode.d6.loss_mask: 0.8061, decode.d6.loss_dice: 1.1356, decode.d7.loss_cls: 0.8313, decode.d7.loss_mask: 0.8012, decode.d7.loss_dice: 1.1326, decode.d8.loss_cls: 0.8297, decode.d8.loss_mask: 0.8003, decode.d8.loss_dice: 1.1238, loss: 29.1423, grad_norm: 51.6777 2023-11-11 23:54:55,130 - mmseg - INFO - Saving checkpoint at 8000 iterations 2023-11-11 23:54:59,082 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-11 23:54:59,082 - mmseg - INFO - Iter [8000/160000] lr: 9.500e-05, eta: 22:03:45, time: 0.563, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8369, decode.loss_mask: 0.8050, decode.loss_dice: 1.1648, decode.d0.loss_cls: 1.7646, decode.d0.loss_mask: 0.8300, decode.d0.loss_dice: 1.3412, decode.d1.loss_cls: 0.9521, decode.d1.loss_mask: 0.8360, decode.d1.loss_dice: 1.2370, decode.d2.loss_cls: 0.8813, decode.d2.loss_mask: 0.8085, decode.d2.loss_dice: 1.1939, decode.d3.loss_cls: 0.8591, decode.d3.loss_mask: 0.8021, decode.d3.loss_dice: 1.1679, decode.d4.loss_cls: 0.8568, decode.d4.loss_mask: 0.7997, decode.d4.loss_dice: 1.1782, decode.d5.loss_cls: 0.8591, decode.d5.loss_mask: 0.8007, decode.d5.loss_dice: 1.1710, decode.d6.loss_cls: 0.8500, decode.d6.loss_mask: 0.7996, decode.d6.loss_dice: 1.1661, decode.d7.loss_cls: 0.8467, decode.d7.loss_mask: 0.7993, decode.d7.loss_dice: 1.1645, decode.d8.loss_cls: 0.8394, decode.d8.loss_mask: 0.8038, decode.d8.loss_dice: 1.1621, loss: 29.5775, grad_norm: 52.0776 2023-11-11 23:55:24,529 - mmseg - INFO - per class results: 2023-11-11 23:55:24,539 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.39 | 84.52 | | building | 80.96 | 90.34 | | sky | 94.13 | 96.59 | | floor | 80.53 | 89.95 | | tree | 74.91 | 90.77 | | ceiling | 83.9 | 91.51 | | road | 77.32 | 86.73 | | bed | 85.86 | 94.1 | | windowpane | 60.45 | 70.17 | | grass | 60.74 | 73.9 | | cabinet | 58.47 | 71.92 | | sidewalk | 56.51 | 87.35 | | person | 82.28 | 92.92 | | earth | 35.33 | 44.03 | | door | 48.57 | 69.3 | | table | 58.92 | 73.49 | | mountain | 51.68 | 59.45 | | plant | 55.8 | 70.34 | | curtain | 73.67 | 86.29 | | chair | 54.88 | 70.58 | | car | 85.22 | 93.9 | | water | 51.04 | 60.84 | | painting | 69.45 | 85.18 | | sofa | 62.44 | 77.51 | | shelf | 35.74 | 62.43 | | house | 26.05 | 30.78 | | sea | 51.67 | 85.58 | | mirror | 56.71 | 80.37 | | rug | 67.36 | 75.01 | | field | 19.67 | 47.0 | | armchair | 36.55 | 53.87 | | seat | 50.82 | 66.67 | | fence | 29.15 | 81.41 | | desk | 39.58 | 56.57 | | rock | 40.51 | 77.57 | | wardrobe | 36.0 | 53.0 | | lamp | 63.15 | 78.95 | | bathtub | 72.04 | 83.01 | | railing | 25.09 | 38.06 | | cushion | 58.53 | 81.56 | | base | 16.53 | 32.32 | | box | 21.72 | 33.08 | | column | 44.25 | 70.07 | | signboard | 31.5 | 63.0 | | chest of drawers | 36.67 | 54.82 | | counter | 35.42 | 48.38 | | sand | 32.72 | 56.79 | | sink | 72.44 | 79.41 | | skyscraper | 39.0 | 44.37 | | fireplace | 60.24 | 81.7 | | refrigerator | 53.33 | 89.9 | | grandstand | 49.05 | 52.49 | | path | 11.97 | 22.55 | | stairs | 40.55 | 47.43 | | runway | 20.35 | 23.59 | | case | 52.5 | 81.81 | | pool table | 93.81 | 96.86 | | pillow | 52.14 | 65.91 | | screen door | 47.24 | 93.1 | | stairway | 24.65 | 36.47 | | river | 17.26 | 37.71 | | bridge | 65.89 | 80.68 | | bookcase | 37.1 | 46.91 | | blind | 43.58 | 61.03 | | coffee table | 61.87 | 80.43 | | toilet | 86.95 | 92.73 | | flower | 40.46 | 56.16 | | book | 48.43 | 70.03 | | hill | 5.02 | 6.73 | | bench | 40.47 | 52.94 | | countertop | 50.45 | 73.69 | | stove | 70.93 | 89.07 | | palm | 52.2 | 70.95 | | kitchen island | 24.91 | 75.93 | | computer | 69.74 | 81.24 | | swivel chair | 42.15 | 58.5 | | boat | 69.66 | 91.42 | | bar | 0.0 | 0.0 | | arcade machine | 23.77 | 24.7 | | hovel | 0.0 | 0.0 | | bus | 88.09 | 97.13 | | towel | 65.46 | 88.85 | | light | 56.01 | 73.23 | | truck | 29.73 | 50.18 | | tower | 33.56 | 46.09 | | chandelier | 58.47 | 77.63 | | awning | 33.25 | 44.24 | | streetlight | 34.77 | 50.0 | | booth | 13.65 | 13.68 | | television receiver | 70.84 | 77.38 | | airplane | 47.97 | 65.98 | | dirt track | 0.0 | 0.0 | | apparel | 29.29 | 42.7 | | pole | 27.62 | 66.42 | | land | 2.14 | 2.8 | | bannister | 5.49 | 6.59 | | escalator | 0.0 | 0.0 | | ottoman | 39.99 | 62.26 | | bottle | 24.71 | 43.77 | | buffet | 0.0 | 0.0 | | poster | 7.35 | 18.47 | | stage | 0.0 | 0.0 | | van | 29.78 | 40.78 | | ship | 0.0 | 0.0 | | fountain | 1.11 | 1.18 | | conveyer belt | 23.61 | 30.04 | | canopy | 14.8 | 16.76 | | washer | 66.98 | 70.95 | | plaything | 27.17 | 56.16 | | swimming pool | 19.02 | 36.49 | | stool | 23.43 | 32.4 | | barrel | 40.7 | 41.11 | | basket | 29.5 | 42.4 | | waterfall | 41.51 | 54.45 | | tent | 96.31 | 97.26 | | bag | 14.61 | 27.96 | | minibike | 61.48 | 89.29 | | cradle | 41.0 | 44.0 | | oven | 22.11 | 22.8 | | ball | 47.22 | 66.97 | | food | 60.87 | 69.9 | | step | 0.11 | 0.12 | | tank | 30.12 | 30.31 | | trade name | 23.15 | 27.04 | | microwave | 76.79 | 94.22 | | pot | 46.41 | 62.05 | | animal | 15.81 | 15.99 | | bicycle | 62.73 | 82.12 | | lake | 0.0 | 0.0 | | dishwasher | 60.35 | 86.99 | | screen | 75.94 | 87.21 | | blanket | 5.94 | 6.45 | | sculpture | 44.18 | 80.84 | | hood | 50.78 | 63.19 | | sconce | 38.95 | 58.56 | | vase | 36.75 | 63.19 | | traffic light | 35.69 | 68.3 | | tray | 3.34 | 3.91 | | ashcan | 36.78 | 70.66 | | fan | 55.74 | 81.68 | | pier | 1.82 | 2.06 | | crt screen | 8.45 | 15.68 | | plate | 61.74 | 77.05 | | monitor | 0.13 | 0.14 | | bulletin board | 4.78 | 8.94 | | shower | 6.24 | 8.14 | | radiator | 55.44 | 64.0 | | glass | 17.88 | 20.54 | | clock | 26.82 | 39.77 | | flag | 49.35 | 56.35 | +---------------------+-------+-------+ 2023-11-11 23:55:24,539 - mmseg - INFO - Summary: 2023-11-11 23:55:24,539 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 80.76 | 41.85 | 55.55 | +-------+-------+-------+ 2023-11-11 23:55:24,687 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_6000.pth was removed 2023-11-11 23:55:28,107 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_8000.pth. 2023-11-11 23:55:28,107 - mmseg - INFO - Best mIoU is 0.4185 at 8000 iter. 2023-11-11 23:55:28,108 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-11 23:55:28,108 - mmseg - INFO - Iter(val) [250] aAcc: 0.8076, mIoU: 0.4185, mAcc: 0.5555, IoU.wall: 0.7739, IoU.building: 0.8096, IoU.sky: 0.9413, IoU.floor: 0.8053, IoU.tree: 0.7491, IoU.ceiling: 0.8390, IoU.road: 0.7732, IoU.bed : 0.8586, IoU.windowpane: 0.6045, IoU.grass: 0.6074, IoU.cabinet: 0.5847, IoU.sidewalk: 0.5651, IoU.person: 0.8228, IoU.earth: 0.3533, IoU.door: 0.4857, IoU.table: 0.5892, IoU.mountain: 0.5168, IoU.plant: 0.5580, IoU.curtain: 0.7367, IoU.chair: 0.5488, IoU.car: 0.8522, IoU.water: 0.5104, IoU.painting: 0.6945, IoU.sofa: 0.6244, IoU.shelf: 0.3574, IoU.house: 0.2605, IoU.sea: 0.5167, IoU.mirror: 0.5671, IoU.rug: 0.6736, IoU.field: 0.1967, IoU.armchair: 0.3655, IoU.seat: 0.5082, IoU.fence: 0.2915, IoU.desk: 0.3958, IoU.rock: 0.4051, IoU.wardrobe: 0.3600, IoU.lamp: 0.6315, IoU.bathtub: 0.7204, IoU.railing: 0.2509, IoU.cushion: 0.5853, IoU.base: 0.1653, IoU.box: 0.2172, IoU.column: 0.4425, IoU.signboard: 0.3150, IoU.chest of drawers: 0.3667, IoU.counter: 0.3542, IoU.sand: 0.3272, IoU.sink: 0.7244, IoU.skyscraper: 0.3900, IoU.fireplace: 0.6024, IoU.refrigerator: 0.5333, IoU.grandstand: 0.4905, IoU.path: 0.1197, IoU.stairs: 0.4055, IoU.runway: 0.2035, IoU.case: 0.5250, IoU.pool table: 0.9381, IoU.pillow: 0.5214, IoU.screen door: 0.4724, IoU.stairway: 0.2465, IoU.river: 0.1726, IoU.bridge: 0.6589, IoU.bookcase: 0.3710, IoU.blind: 0.4358, IoU.coffee table: 0.6187, IoU.toilet: 0.8695, IoU.flower: 0.4046, IoU.book: 0.4843, IoU.hill: 0.0502, IoU.bench: 0.4047, IoU.countertop: 0.5045, IoU.stove: 0.7093, IoU.palm: 0.5220, IoU.kitchen island: 0.2491, IoU.computer: 0.6974, IoU.swivel chair: 0.4215, IoU.boat: 0.6966, IoU.bar: 0.0000, IoU.arcade machine: 0.2377, IoU.hovel: 0.0000, IoU.bus: 0.8809, IoU.towel: 0.6546, IoU.light: 0.5601, IoU.truck: 0.2973, IoU.tower: 0.3356, IoU.chandelier: 0.5847, IoU.awning: 0.3325, IoU.streetlight: 0.3477, IoU.booth: 0.1365, IoU.television receiver: 0.7084, IoU.airplane: 0.4797, IoU.dirt track: 0.0000, IoU.apparel: 0.2929, IoU.pole: 0.2762, IoU.land: 0.0214, IoU.bannister: 0.0549, IoU.escalator: 0.0000, IoU.ottoman: 0.3999, IoU.bottle: 0.2471, IoU.buffet: 0.0000, IoU.poster: 0.0735, IoU.stage: 0.0000, IoU.van: 0.2978, IoU.ship: 0.0000, IoU.fountain: 0.0111, IoU.conveyer belt: 0.2361, IoU.canopy: 0.1480, IoU.washer: 0.6698, IoU.plaything: 0.2717, IoU.swimming pool: 0.1902, IoU.stool: 0.2343, IoU.barrel: 0.4070, IoU.basket: 0.2950, IoU.waterfall: 0.4151, IoU.tent: 0.9631, IoU.bag: 0.1461, IoU.minibike: 0.6148, IoU.cradle: 0.4100, IoU.oven: 0.2211, IoU.ball: 0.4722, IoU.food: 0.6087, IoU.step: 0.0011, IoU.tank: 0.3012, IoU.trade name: 0.2315, IoU.microwave: 0.7679, IoU.pot: 0.4641, IoU.animal: 0.1581, IoU.bicycle: 0.6273, IoU.lake: 0.0000, IoU.dishwasher: 0.6035, IoU.screen: 0.7594, IoU.blanket: 0.0594, IoU.sculpture: 0.4418, IoU.hood: 0.5078, IoU.sconce: 0.3895, IoU.vase: 0.3675, IoU.traffic light: 0.3569, IoU.tray: 0.0334, IoU.ashcan: 0.3678, IoU.fan: 0.5574, IoU.pier: 0.0182, IoU.crt screen: 0.0845, IoU.plate: 0.6174, IoU.monitor: 0.0013, IoU.bulletin board: 0.0478, IoU.shower: 0.0624, IoU.radiator: 0.5544, IoU.glass: 0.1788, IoU.clock: 0.2682, IoU.flag: 0.4935, Acc.wall: 0.8452, Acc.building: 0.9034, Acc.sky: 0.9659, Acc.floor: 0.8995, Acc.tree: 0.9077, Acc.ceiling: 0.9151, Acc.road: 0.8673, Acc.bed : 0.9410, Acc.windowpane: 0.7017, Acc.grass: 0.7390, Acc.cabinet: 0.7192, Acc.sidewalk: 0.8735, Acc.person: 0.9292, Acc.earth: 0.4403, Acc.door: 0.6930, Acc.table: 0.7349, Acc.mountain: 0.5945, Acc.plant: 0.7034, Acc.curtain: 0.8629, Acc.chair: 0.7058, Acc.car: 0.9390, Acc.water: 0.6084, Acc.painting: 0.8518, Acc.sofa: 0.7751, Acc.shelf: 0.6243, Acc.house: 0.3078, Acc.sea: 0.8558, Acc.mirror: 0.8037, Acc.rug: 0.7501, Acc.field: 0.4700, Acc.armchair: 0.5387, Acc.seat: 0.6667, Acc.fence: 0.8141, Acc.desk: 0.5657, Acc.rock: 0.7757, Acc.wardrobe: 0.5300, Acc.lamp: 0.7895, Acc.bathtub: 0.8301, Acc.railing: 0.3806, Acc.cushion: 0.8156, Acc.base: 0.3232, Acc.box: 0.3308, Acc.column: 0.7007, Acc.signboard: 0.6300, Acc.chest of drawers: 0.5482, Acc.counter: 0.4838, Acc.sand: 0.5679, Acc.sink: 0.7941, Acc.skyscraper: 0.4437, Acc.fireplace: 0.8170, Acc.refrigerator: 0.8990, Acc.grandstand: 0.5249, Acc.path: 0.2255, Acc.stairs: 0.4743, Acc.runway: 0.2359, Acc.case: 0.8181, Acc.pool table: 0.9686, Acc.pillow: 0.6591, Acc.screen door: 0.9310, Acc.stairway: 0.3647, Acc.river: 0.3771, Acc.bridge: 0.8068, Acc.bookcase: 0.4691, Acc.blind: 0.6103, Acc.coffee table: 0.8043, Acc.toilet: 0.9273, Acc.flower: 0.5616, Acc.book: 0.7003, Acc.hill: 0.0673, Acc.bench: 0.5294, Acc.countertop: 0.7369, Acc.stove: 0.8907, Acc.palm: 0.7095, Acc.kitchen island: 0.7593, Acc.computer: 0.8124, Acc.swivel chair: 0.5850, Acc.boat: 0.9142, Acc.bar: 0.0000, Acc.arcade machine: 0.2470, Acc.hovel: 0.0000, Acc.bus: 0.9713, Acc.towel: 0.8885, Acc.light: 0.7323, Acc.truck: 0.5018, Acc.tower: 0.4609, Acc.chandelier: 0.7763, Acc.awning: 0.4424, Acc.streetlight: 0.5000, Acc.booth: 0.1368, Acc.television receiver: 0.7738, Acc.airplane: 0.6598, Acc.dirt track: 0.0000, Acc.apparel: 0.4270, Acc.pole: 0.6642, Acc.land: 0.0280, Acc.bannister: 0.0659, Acc.escalator: 0.0000, Acc.ottoman: 0.6226, Acc.bottle: 0.4377, Acc.buffet: 0.0000, Acc.poster: 0.1847, Acc.stage: 0.0000, Acc.van: 0.4078, Acc.ship: 0.0000, Acc.fountain: 0.0118, Acc.conveyer belt: 0.3004, Acc.canopy: 0.1676, Acc.washer: 0.7095, Acc.plaything: 0.5616, Acc.swimming pool: 0.3649, Acc.stool: 0.3240, Acc.barrel: 0.4111, Acc.basket: 0.4240, Acc.waterfall: 0.5445, Acc.tent: 0.9726, Acc.bag: 0.2796, Acc.minibike: 0.8929, Acc.cradle: 0.4400, Acc.oven: 0.2280, Acc.ball: 0.6697, Acc.food: 0.6990, Acc.step: 0.0012, Acc.tank: 0.3031, Acc.trade name: 0.2704, Acc.microwave: 0.9422, Acc.pot: 0.6205, Acc.animal: 0.1599, Acc.bicycle: 0.8212, Acc.lake: 0.0000, Acc.dishwasher: 0.8699, Acc.screen: 0.8721, Acc.blanket: 0.0645, Acc.sculpture: 0.8084, Acc.hood: 0.6319, Acc.sconce: 0.5856, Acc.vase: 0.6319, Acc.traffic light: 0.6830, Acc.tray: 0.0391, Acc.ashcan: 0.7066, Acc.fan: 0.8168, Acc.pier: 0.0206, Acc.crt screen: 0.1568, Acc.plate: 0.7705, Acc.monitor: 0.0014, Acc.bulletin board: 0.0894, Acc.shower: 0.0814, Acc.radiator: 0.6400, Acc.glass: 0.2054, Acc.clock: 0.3977, Acc.flag: 0.5635 2023-11-11 23:55:52,273 - mmseg - INFO - Iter [8050/160000] lr: 9.497e-05, eta: 22:11:49, time: 1.064, data_time: 0.594, memory: 41146, decode.loss_cls: 0.8331, decode.loss_mask: 0.7861, decode.loss_dice: 1.1385, decode.d0.loss_cls: 1.7869, decode.d0.loss_mask: 0.8295, decode.d0.loss_dice: 1.3108, decode.d1.loss_cls: 0.9749, decode.d1.loss_mask: 0.8090, decode.d1.loss_dice: 1.2115, decode.d2.loss_cls: 0.8821, decode.d2.loss_mask: 0.7949, decode.d2.loss_dice: 1.1615, decode.d3.loss_cls: 0.8612, decode.d3.loss_mask: 0.7872, decode.d3.loss_dice: 1.1439, decode.d4.loss_cls: 0.8474, decode.d4.loss_mask: 0.7871, decode.d4.loss_dice: 1.1469, decode.d5.loss_cls: 0.8446, decode.d5.loss_mask: 0.7849, decode.d5.loss_dice: 1.1425, decode.d6.loss_cls: 0.8442, decode.d6.loss_mask: 0.7803, decode.d6.loss_dice: 1.1354, decode.d7.loss_cls: 0.8424, decode.d7.loss_mask: 0.7759, decode.d7.loss_dice: 1.1410, decode.d8.loss_cls: 0.8407, decode.d8.loss_mask: 0.7870, decode.d8.loss_dice: 1.1407, loss: 29.1522, grad_norm: 49.0011 2023-11-11 23:56:16,371 - mmseg - INFO - Iter [8100/160000] lr: 9.494e-05, eta: 22:10:42, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8566, decode.loss_mask: 0.8088, decode.loss_dice: 1.1449, decode.d0.loss_cls: 1.7629, decode.d0.loss_mask: 0.8448, decode.d0.loss_dice: 1.3227, decode.d1.loss_cls: 0.9703, decode.d1.loss_mask: 0.8376, decode.d1.loss_dice: 1.2213, decode.d2.loss_cls: 0.9041, decode.d2.loss_mask: 0.8163, decode.d2.loss_dice: 1.1790, decode.d3.loss_cls: 0.8834, decode.d3.loss_mask: 0.8118, decode.d3.loss_dice: 1.1435, decode.d4.loss_cls: 0.8718, decode.d4.loss_mask: 0.8110, decode.d4.loss_dice: 1.1501, decode.d5.loss_cls: 0.8724, decode.d5.loss_mask: 0.8074, decode.d5.loss_dice: 1.1505, decode.d6.loss_cls: 0.8615, decode.d6.loss_mask: 0.8125, decode.d6.loss_dice: 1.1379, decode.d7.loss_cls: 0.8676, decode.d7.loss_mask: 0.8099, decode.d7.loss_dice: 1.1393, decode.d8.loss_cls: 0.8516, decode.d8.loss_mask: 0.8137, decode.d8.loss_dice: 1.1535, loss: 29.6186, grad_norm: 55.3619 2023-11-11 23:56:40,572 - mmseg - INFO - Iter [8150/160000] lr: 9.491e-05, eta: 22:09:37, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8032, decode.loss_mask: 0.8022, decode.loss_dice: 1.1589, decode.d0.loss_cls: 1.7731, decode.d0.loss_mask: 0.8361, decode.d0.loss_dice: 1.3250, decode.d1.loss_cls: 0.9139, decode.d1.loss_mask: 0.8291, decode.d1.loss_dice: 1.2462, decode.d2.loss_cls: 0.8387, decode.d2.loss_mask: 0.8125, decode.d2.loss_dice: 1.1931, decode.d3.loss_cls: 0.8233, decode.d3.loss_mask: 0.8014, decode.d3.loss_dice: 1.1720, decode.d4.loss_cls: 0.8178, decode.d4.loss_mask: 0.8047, decode.d4.loss_dice: 1.1661, decode.d5.loss_cls: 0.8133, decode.d5.loss_mask: 0.7986, decode.d5.loss_dice: 1.1605, decode.d6.loss_cls: 0.8053, decode.d6.loss_mask: 0.7965, decode.d6.loss_dice: 1.1532, decode.d7.loss_cls: 0.8080, decode.d7.loss_mask: 0.7996, decode.d7.loss_dice: 1.1506, decode.d8.loss_cls: 0.8091, decode.d8.loss_mask: 0.7992, decode.d8.loss_dice: 1.1587, loss: 29.1698, grad_norm: 50.7431 2023-11-11 23:57:04,791 - mmseg - INFO - Iter [8200/160000] lr: 9.488e-05, eta: 22:08:32, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8577, decode.loss_mask: 0.7829, decode.loss_dice: 1.1337, decode.d0.loss_cls: 1.8009, decode.d0.loss_mask: 0.8197, decode.d0.loss_dice: 1.3172, decode.d1.loss_cls: 0.9757, decode.d1.loss_mask: 0.8094, decode.d1.loss_dice: 1.2080, decode.d2.loss_cls: 0.8949, decode.d2.loss_mask: 0.7933, decode.d2.loss_dice: 1.1529, decode.d3.loss_cls: 0.8710, decode.d3.loss_mask: 0.7848, decode.d3.loss_dice: 1.1394, decode.d4.loss_cls: 0.8671, decode.d4.loss_mask: 0.7872, decode.d4.loss_dice: 1.1352, decode.d5.loss_cls: 0.8621, decode.d5.loss_mask: 0.7854, decode.d5.loss_dice: 1.1403, decode.d6.loss_cls: 0.8497, decode.d6.loss_mask: 0.7814, decode.d6.loss_dice: 1.1312, decode.d7.loss_cls: 0.8534, decode.d7.loss_mask: 0.7847, decode.d7.loss_dice: 1.1375, decode.d8.loss_cls: 0.8593, decode.d8.loss_mask: 0.7789, decode.d8.loss_dice: 1.1319, loss: 29.2267, grad_norm: 49.9244 2023-11-11 23:57:28,830 - mmseg - INFO - Iter [8250/160000] lr: 9.484e-05, eta: 22:07:25, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8298, decode.loss_mask: 0.8094, decode.loss_dice: 1.1686, decode.d0.loss_cls: 1.7517, decode.d0.loss_mask: 0.8519, decode.d0.loss_dice: 1.3381, decode.d1.loss_cls: 0.9419, decode.d1.loss_mask: 0.8325, decode.d1.loss_dice: 1.2361, decode.d2.loss_cls: 0.8637, decode.d2.loss_mask: 0.8128, decode.d2.loss_dice: 1.1935, decode.d3.loss_cls: 0.8516, decode.d3.loss_mask: 0.8066, decode.d3.loss_dice: 1.1663, decode.d4.loss_cls: 0.8481, decode.d4.loss_mask: 0.8045, decode.d4.loss_dice: 1.1688, decode.d5.loss_cls: 0.8398, decode.d5.loss_mask: 0.8056, decode.d5.loss_dice: 1.1602, decode.d6.loss_cls: 0.8367, decode.d6.loss_mask: 0.8016, decode.d6.loss_dice: 1.1523, decode.d7.loss_cls: 0.8378, decode.d7.loss_mask: 0.8052, decode.d7.loss_dice: 1.1615, decode.d8.loss_cls: 0.8301, decode.d8.loss_mask: 0.8077, decode.d8.loss_dice: 1.1679, loss: 29.4825, grad_norm: 52.6318 2023-11-11 23:57:53,110 - mmseg - INFO - Iter [8300/160000] lr: 9.481e-05, eta: 22:06:23, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.8004, decode.loss_mask: 0.7879, decode.loss_dice: 1.1575, decode.d0.loss_cls: 1.7674, decode.d0.loss_mask: 0.8175, decode.d0.loss_dice: 1.3346, decode.d1.loss_cls: 0.9369, decode.d1.loss_mask: 0.8183, decode.d1.loss_dice: 1.2288, decode.d2.loss_cls: 0.8562, decode.d2.loss_mask: 0.7944, decode.d2.loss_dice: 1.1870, decode.d3.loss_cls: 0.8368, decode.d3.loss_mask: 0.7915, decode.d3.loss_dice: 1.1604, decode.d4.loss_cls: 0.8315, decode.d4.loss_mask: 0.7919, decode.d4.loss_dice: 1.1656, decode.d5.loss_cls: 0.8233, decode.d5.loss_mask: 0.7917, decode.d5.loss_dice: 1.1643, decode.d6.loss_cls: 0.8115, decode.d6.loss_mask: 0.7832, decode.d6.loss_dice: 1.1518, decode.d7.loss_cls: 0.8134, decode.d7.loss_mask: 0.7868, decode.d7.loss_dice: 1.1513, decode.d8.loss_cls: 0.8014, decode.d8.loss_mask: 0.7844, decode.d8.loss_dice: 1.1590, loss: 29.0871, grad_norm: 51.2743 2023-11-11 23:58:17,988 - mmseg - INFO - Iter [8350/160000] lr: 9.478e-05, eta: 22:05:32, time: 0.497, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8048, decode.loss_mask: 0.7570, decode.loss_dice: 1.1117, decode.d0.loss_cls: 1.7639, decode.d0.loss_mask: 0.7844, decode.d0.loss_dice: 1.2718, decode.d1.loss_cls: 0.9281, decode.d1.loss_mask: 0.7821, decode.d1.loss_dice: 1.1825, decode.d2.loss_cls: 0.8469, decode.d2.loss_mask: 0.7652, decode.d2.loss_dice: 1.1357, decode.d3.loss_cls: 0.8193, decode.d3.loss_mask: 0.7619, decode.d3.loss_dice: 1.1201, decode.d4.loss_cls: 0.8182, decode.d4.loss_mask: 0.7564, decode.d4.loss_dice: 1.1239, decode.d5.loss_cls: 0.8176, decode.d5.loss_mask: 0.7597, decode.d5.loss_dice: 1.1206, decode.d6.loss_cls: 0.8103, decode.d6.loss_mask: 0.7569, decode.d6.loss_dice: 1.1081, decode.d7.loss_cls: 0.8127, decode.d7.loss_mask: 0.7538, decode.d7.loss_dice: 1.1171, decode.d8.loss_cls: 0.8081, decode.d8.loss_mask: 0.7600, decode.d8.loss_dice: 1.1138, loss: 28.2727, grad_norm: 51.3376 2023-11-11 23:58:42,070 - mmseg - INFO - Iter [8400/160000] lr: 9.475e-05, eta: 22:04:28, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8218, decode.loss_mask: 0.7533, decode.loss_dice: 1.1227, decode.d0.loss_cls: 1.7851, decode.d0.loss_mask: 0.7860, decode.d0.loss_dice: 1.3018, decode.d1.loss_cls: 0.9360, decode.d1.loss_mask: 0.7871, decode.d1.loss_dice: 1.2105, decode.d2.loss_cls: 0.8608, decode.d2.loss_mask: 0.7629, decode.d2.loss_dice: 1.1506, decode.d3.loss_cls: 0.8425, decode.d3.loss_mask: 0.7536, decode.d3.loss_dice: 1.1327, decode.d4.loss_cls: 0.8450, decode.d4.loss_mask: 0.7528, decode.d4.loss_dice: 1.1337, decode.d5.loss_cls: 0.8356, decode.d5.loss_mask: 0.7606, decode.d5.loss_dice: 1.1253, decode.d6.loss_cls: 0.8237, decode.d6.loss_mask: 0.7552, decode.d6.loss_dice: 1.1223, decode.d7.loss_cls: 0.8168, decode.d7.loss_mask: 0.7560, decode.d7.loss_dice: 1.1242, decode.d8.loss_cls: 0.8155, decode.d8.loss_mask: 0.7563, decode.d8.loss_dice: 1.1273, loss: 28.5579, grad_norm: 50.8332 2023-11-11 23:59:06,341 - mmseg - INFO - Iter [8450/160000] lr: 9.472e-05, eta: 22:03:27, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8157, decode.loss_mask: 0.7926, decode.loss_dice: 1.1388, decode.d0.loss_cls: 1.7640, decode.d0.loss_mask: 0.8286, decode.d0.loss_dice: 1.3193, decode.d1.loss_cls: 0.9209, decode.d1.loss_mask: 0.8255, decode.d1.loss_dice: 1.2159, decode.d2.loss_cls: 0.8569, decode.d2.loss_mask: 0.8063, decode.d2.loss_dice: 1.1682, decode.d3.loss_cls: 0.8261, decode.d3.loss_mask: 0.7937, decode.d3.loss_dice: 1.1427, decode.d4.loss_cls: 0.8214, decode.d4.loss_mask: 0.7959, decode.d4.loss_dice: 1.1501, decode.d5.loss_cls: 0.8240, decode.d5.loss_mask: 0.7907, decode.d5.loss_dice: 1.1555, decode.d6.loss_cls: 0.8106, decode.d6.loss_mask: 0.7974, decode.d6.loss_dice: 1.1449, decode.d7.loss_cls: 0.8159, decode.d7.loss_mask: 0.7925, decode.d7.loss_dice: 1.1472, decode.d8.loss_cls: 0.8171, decode.d8.loss_mask: 0.7989, decode.d8.loss_dice: 1.1387, loss: 29.0159, grad_norm: 48.9500 2023-11-11 23:59:30,230 - mmseg - INFO - Iter [8500/160000] lr: 9.469e-05, eta: 22:02:19, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7795, decode.loss_mask: 0.7992, decode.loss_dice: 1.1414, decode.d0.loss_cls: 1.7122, decode.d0.loss_mask: 0.8307, decode.d0.loss_dice: 1.3089, decode.d1.loss_cls: 0.8982, decode.d1.loss_mask: 0.8347, decode.d1.loss_dice: 1.2098, decode.d2.loss_cls: 0.8196, decode.d2.loss_mask: 0.8161, decode.d2.loss_dice: 1.1768, decode.d3.loss_cls: 0.8102, decode.d3.loss_mask: 0.8007, decode.d3.loss_dice: 1.1431, decode.d4.loss_cls: 0.7873, decode.d4.loss_mask: 0.8099, decode.d4.loss_dice: 1.1508, decode.d5.loss_cls: 0.7975, decode.d5.loss_mask: 0.8075, decode.d5.loss_dice: 1.1392, decode.d6.loss_cls: 0.7874, decode.d6.loss_mask: 0.8022, decode.d6.loss_dice: 1.1361, decode.d7.loss_cls: 0.7859, decode.d7.loss_mask: 0.8077, decode.d7.loss_dice: 1.1350, decode.d8.loss_cls: 0.7742, decode.d8.loss_mask: 0.8060, decode.d8.loss_dice: 1.1429, loss: 28.7505, grad_norm: 54.4956 2023-11-11 23:59:54,475 - mmseg - INFO - Iter [8550/160000] lr: 9.466e-05, eta: 22:01:19, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8129, decode.loss_mask: 0.7706, decode.loss_dice: 1.1481, decode.d0.loss_cls: 1.7596, decode.d0.loss_mask: 0.7955, decode.d0.loss_dice: 1.3030, decode.d1.loss_cls: 0.9513, decode.d1.loss_mask: 0.7878, decode.d1.loss_dice: 1.2242, decode.d2.loss_cls: 0.8613, decode.d2.loss_mask: 0.7808, decode.d2.loss_dice: 1.1785, decode.d3.loss_cls: 0.8431, decode.d3.loss_mask: 0.7751, decode.d3.loss_dice: 1.1428, decode.d4.loss_cls: 0.8366, decode.d4.loss_mask: 0.7712, decode.d4.loss_dice: 1.1479, decode.d5.loss_cls: 0.8411, decode.d5.loss_mask: 0.7686, decode.d5.loss_dice: 1.1465, decode.d6.loss_cls: 0.8351, decode.d6.loss_mask: 0.7669, decode.d6.loss_dice: 1.1430, decode.d7.loss_cls: 0.8319, decode.d7.loss_mask: 0.7734, decode.d7.loss_dice: 1.1529, decode.d8.loss_cls: 0.8265, decode.d8.loss_mask: 0.7697, decode.d8.loss_dice: 1.1518, loss: 28.8976, grad_norm: 55.7847 2023-11-12 00:00:18,523 - mmseg - INFO - Iter [8600/160000] lr: 9.463e-05, eta: 22:00:15, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7969, decode.loss_mask: 0.7880, decode.loss_dice: 1.1191, decode.d0.loss_cls: 1.7377, decode.d0.loss_mask: 0.8287, decode.d0.loss_dice: 1.3026, decode.d1.loss_cls: 0.9252, decode.d1.loss_mask: 0.8128, decode.d1.loss_dice: 1.1993, decode.d2.loss_cls: 0.8520, decode.d2.loss_mask: 0.7882, decode.d2.loss_dice: 1.1496, decode.d3.loss_cls: 0.8211, decode.d3.loss_mask: 0.7846, decode.d3.loss_dice: 1.1285, decode.d4.loss_cls: 0.8242, decode.d4.loss_mask: 0.7891, decode.d4.loss_dice: 1.1324, decode.d5.loss_cls: 0.8057, decode.d5.loss_mask: 0.7890, decode.d5.loss_dice: 1.1287, decode.d6.loss_cls: 0.8046, decode.d6.loss_mask: 0.7937, decode.d6.loss_dice: 1.1261, decode.d7.loss_cls: 0.8043, decode.d7.loss_mask: 0.7920, decode.d7.loss_dice: 1.1223, decode.d8.loss_cls: 0.8043, decode.d8.loss_mask: 0.7927, decode.d8.loss_dice: 1.1274, loss: 28.6706, grad_norm: 52.0350 2023-11-12 00:00:42,616 - mmseg - INFO - Iter [8650/160000] lr: 9.459e-05, eta: 21:59:13, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8472, decode.loss_mask: 0.7972, decode.loss_dice: 1.1615, decode.d0.loss_cls: 1.8099, decode.d0.loss_mask: 0.8309, decode.d0.loss_dice: 1.3316, decode.d1.loss_cls: 0.9794, decode.d1.loss_mask: 0.8256, decode.d1.loss_dice: 1.2290, decode.d2.loss_cls: 0.8979, decode.d2.loss_mask: 0.8088, decode.d2.loss_dice: 1.1829, decode.d3.loss_cls: 0.8691, decode.d3.loss_mask: 0.7969, decode.d3.loss_dice: 1.1678, decode.d4.loss_cls: 0.8680, decode.d4.loss_mask: 0.8012, decode.d4.loss_dice: 1.1611, decode.d5.loss_cls: 0.8615, decode.d5.loss_mask: 0.7986, decode.d5.loss_dice: 1.1620, decode.d6.loss_cls: 0.8451, decode.d6.loss_mask: 0.7941, decode.d6.loss_dice: 1.1558, decode.d7.loss_cls: 0.8466, decode.d7.loss_mask: 0.7936, decode.d7.loss_dice: 1.1616, decode.d8.loss_cls: 0.8504, decode.d8.loss_mask: 0.7964, decode.d8.loss_dice: 1.1616, loss: 29.5934, grad_norm: 50.8444 2023-11-12 00:01:07,122 - mmseg - INFO - Iter [8700/160000] lr: 9.456e-05, eta: 21:58:18, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8263, decode.loss_mask: 0.7950, decode.loss_dice: 1.1460, decode.d0.loss_cls: 1.7676, decode.d0.loss_mask: 0.8283, decode.d0.loss_dice: 1.3213, decode.d1.loss_cls: 0.9272, decode.d1.loss_mask: 0.8227, decode.d1.loss_dice: 1.2273, decode.d2.loss_cls: 0.8689, decode.d2.loss_mask: 0.8052, decode.d2.loss_dice: 1.1771, decode.d3.loss_cls: 0.8478, decode.d3.loss_mask: 0.8000, decode.d3.loss_dice: 1.1562, decode.d4.loss_cls: 0.8391, decode.d4.loss_mask: 0.8006, decode.d4.loss_dice: 1.1620, decode.d5.loss_cls: 0.8368, decode.d5.loss_mask: 0.7941, decode.d5.loss_dice: 1.1635, decode.d6.loss_cls: 0.8309, decode.d6.loss_mask: 0.8005, decode.d6.loss_dice: 1.1500, decode.d7.loss_cls: 0.8334, decode.d7.loss_mask: 0.7996, decode.d7.loss_dice: 1.1508, decode.d8.loss_cls: 0.8239, decode.d8.loss_mask: 0.8018, decode.d8.loss_dice: 1.1510, loss: 29.2549, grad_norm: 55.6781 2023-11-12 00:01:33,521 - mmseg - INFO - Iter [8750/160000] lr: 9.453e-05, eta: 21:57:56, time: 0.528, data_time: 0.014, memory: 41146, decode.loss_cls: 0.8181, decode.loss_mask: 0.7799, decode.loss_dice: 1.1347, decode.d0.loss_cls: 1.7967, decode.d0.loss_mask: 0.8184, decode.d0.loss_dice: 1.3076, decode.d1.loss_cls: 0.9413, decode.d1.loss_mask: 0.7921, decode.d1.loss_dice: 1.2165, decode.d2.loss_cls: 0.8654, decode.d2.loss_mask: 0.7744, decode.d2.loss_dice: 1.1574, decode.d3.loss_cls: 0.8329, decode.d3.loss_mask: 0.7719, decode.d3.loss_dice: 1.1353, decode.d4.loss_cls: 0.8321, decode.d4.loss_mask: 0.7729, decode.d4.loss_dice: 1.1299, decode.d5.loss_cls: 0.8276, decode.d5.loss_mask: 0.7722, decode.d5.loss_dice: 1.1313, decode.d6.loss_cls: 0.8149, decode.d6.loss_mask: 0.7750, decode.d6.loss_dice: 1.1214, decode.d7.loss_cls: 0.8217, decode.d7.loss_mask: 0.7789, decode.d7.loss_dice: 1.1220, decode.d8.loss_cls: 0.8196, decode.d8.loss_mask: 0.7746, decode.d8.loss_dice: 1.1267, loss: 28.7635, grad_norm: 49.7903 2023-11-12 00:01:59,356 - mmseg - INFO - Iter [8800/160000] lr: 9.450e-05, eta: 21:57:25, time: 0.517, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8179, decode.loss_mask: 0.7893, decode.loss_dice: 1.1342, decode.d0.loss_cls: 1.7706, decode.d0.loss_mask: 0.8349, decode.d0.loss_dice: 1.3146, decode.d1.loss_cls: 0.9356, decode.d1.loss_mask: 0.8255, decode.d1.loss_dice: 1.2156, decode.d2.loss_cls: 0.8626, decode.d2.loss_mask: 0.8120, decode.d2.loss_dice: 1.1591, decode.d3.loss_cls: 0.8398, decode.d3.loss_mask: 0.7968, decode.d3.loss_dice: 1.1518, decode.d4.loss_cls: 0.8382, decode.d4.loss_mask: 0.8032, decode.d4.loss_dice: 1.1425, decode.d5.loss_cls: 0.8301, decode.d5.loss_mask: 0.7972, decode.d5.loss_dice: 1.1412, decode.d6.loss_cls: 0.8275, decode.d6.loss_mask: 0.7877, decode.d6.loss_dice: 1.1263, decode.d7.loss_cls: 0.8246, decode.d7.loss_mask: 0.7891, decode.d7.loss_dice: 1.1358, decode.d8.loss_cls: 0.8242, decode.d8.loss_mask: 0.7934, decode.d8.loss_dice: 1.1367, loss: 29.0576, grad_norm: 53.1737 2023-11-12 00:02:25,662 - mmseg - INFO - Iter [8850/160000] lr: 9.447e-05, eta: 21:57:02, time: 0.526, data_time: 0.059, memory: 41146, decode.loss_cls: 0.7829, decode.loss_mask: 0.7739, decode.loss_dice: 1.1199, decode.d0.loss_cls: 1.7272, decode.d0.loss_mask: 0.8127, decode.d0.loss_dice: 1.2869, decode.d1.loss_cls: 0.8937, decode.d1.loss_mask: 0.8085, decode.d1.loss_dice: 1.2044, decode.d2.loss_cls: 0.8303, decode.d2.loss_mask: 0.7783, decode.d2.loss_dice: 1.1591, decode.d3.loss_cls: 0.7984, decode.d3.loss_mask: 0.7766, decode.d3.loss_dice: 1.1313, decode.d4.loss_cls: 0.8011, decode.d4.loss_mask: 0.7763, decode.d4.loss_dice: 1.1284, decode.d5.loss_cls: 0.7938, decode.d5.loss_mask: 0.7782, decode.d5.loss_dice: 1.1311, decode.d6.loss_cls: 0.7923, decode.d6.loss_mask: 0.7759, decode.d6.loss_dice: 1.1141, decode.d7.loss_cls: 0.7868, decode.d7.loss_mask: 0.7727, decode.d7.loss_dice: 1.1239, decode.d8.loss_cls: 0.7928, decode.d8.loss_mask: 0.7750, decode.d8.loss_dice: 1.1217, loss: 28.3485, grad_norm: 48.9060 2023-11-12 00:02:49,749 - mmseg - INFO - Iter [8900/160000] lr: 9.444e-05, eta: 21:56:01, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7981, decode.loss_mask: 0.7806, decode.loss_dice: 1.1197, decode.d0.loss_cls: 1.7483, decode.d0.loss_mask: 0.8143, decode.d0.loss_dice: 1.2845, decode.d1.loss_cls: 0.9161, decode.d1.loss_mask: 0.8074, decode.d1.loss_dice: 1.1958, decode.d2.loss_cls: 0.8375, decode.d2.loss_mask: 0.7897, decode.d2.loss_dice: 1.1509, decode.d3.loss_cls: 0.8155, decode.d3.loss_mask: 0.7818, decode.d3.loss_dice: 1.1272, decode.d4.loss_cls: 0.8110, decode.d4.loss_mask: 0.7805, decode.d4.loss_dice: 1.1224, decode.d5.loss_cls: 0.8126, decode.d5.loss_mask: 0.7832, decode.d5.loss_dice: 1.1219, decode.d6.loss_cls: 0.8066, decode.d6.loss_mask: 0.7768, decode.d6.loss_dice: 1.1126, decode.d7.loss_cls: 0.8093, decode.d7.loss_mask: 0.7788, decode.d7.loss_dice: 1.1197, decode.d8.loss_cls: 0.7981, decode.d8.loss_mask: 0.7799, decode.d8.loss_dice: 1.1278, loss: 28.5086, grad_norm: 52.6008 2023-11-12 00:03:13,906 - mmseg - INFO - Iter [8950/160000] lr: 9.441e-05, eta: 21:55:01, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8076, decode.loss_mask: 0.7681, decode.loss_dice: 1.1177, decode.d0.loss_cls: 1.7465, decode.d0.loss_mask: 0.7901, decode.d0.loss_dice: 1.2832, decode.d1.loss_cls: 0.9292, decode.d1.loss_mask: 0.7928, decode.d1.loss_dice: 1.1892, decode.d2.loss_cls: 0.8575, decode.d2.loss_mask: 0.7739, decode.d2.loss_dice: 1.1456, decode.d3.loss_cls: 0.8315, decode.d3.loss_mask: 0.7715, decode.d3.loss_dice: 1.1205, decode.d4.loss_cls: 0.8310, decode.d4.loss_mask: 0.7686, decode.d4.loss_dice: 1.1238, decode.d5.loss_cls: 0.8242, decode.d5.loss_mask: 0.7680, decode.d5.loss_dice: 1.1178, decode.d6.loss_cls: 0.8216, decode.d6.loss_mask: 0.7661, decode.d6.loss_dice: 1.1067, decode.d7.loss_cls: 0.8108, decode.d7.loss_mask: 0.7689, decode.d7.loss_dice: 1.1146, decode.d8.loss_cls: 0.8154, decode.d8.loss_mask: 0.7632, decode.d8.loss_dice: 1.1191, loss: 28.4445, grad_norm: 50.1921 2023-11-12 00:03:38,020 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 00:03:38,020 - mmseg - INFO - Iter [9000/160000] lr: 9.438e-05, eta: 21:54:01, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.8136, decode.loss_mask: 0.7698, decode.loss_dice: 1.1146, decode.d0.loss_cls: 1.7732, decode.d0.loss_mask: 0.8068, decode.d0.loss_dice: 1.2884, decode.d1.loss_cls: 0.9177, decode.d1.loss_mask: 0.7982, decode.d1.loss_dice: 1.2075, decode.d2.loss_cls: 0.8565, decode.d2.loss_mask: 0.7814, decode.d2.loss_dice: 1.1478, decode.d3.loss_cls: 0.8314, decode.d3.loss_mask: 0.7692, decode.d3.loss_dice: 1.1257, decode.d4.loss_cls: 0.8289, decode.d4.loss_mask: 0.7675, decode.d4.loss_dice: 1.1312, decode.d5.loss_cls: 0.8292, decode.d5.loss_mask: 0.7683, decode.d5.loss_dice: 1.1174, decode.d6.loss_cls: 0.8177, decode.d6.loss_mask: 0.7662, decode.d6.loss_dice: 1.1133, decode.d7.loss_cls: 0.8168, decode.d7.loss_mask: 0.7661, decode.d7.loss_dice: 1.1222, decode.d8.loss_cls: 0.8169, decode.d8.loss_mask: 0.7684, decode.d8.loss_dice: 1.1149, loss: 28.5469, grad_norm: 48.7578 2023-11-12 00:04:01,981 - mmseg - INFO - Iter [9050/160000] lr: 9.434e-05, eta: 21:53:00, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7761, decode.loss_mask: 0.7426, decode.loss_dice: 1.0798, decode.d0.loss_cls: 1.7313, decode.d0.loss_mask: 0.7772, decode.d0.loss_dice: 1.2490, decode.d1.loss_cls: 0.8981, decode.d1.loss_mask: 0.7663, decode.d1.loss_dice: 1.1551, decode.d2.loss_cls: 0.8227, decode.d2.loss_mask: 0.7445, decode.d2.loss_dice: 1.1047, decode.d3.loss_cls: 0.8023, decode.d3.loss_mask: 0.7413, decode.d3.loss_dice: 1.0855, decode.d4.loss_cls: 0.7914, decode.d4.loss_mask: 0.7367, decode.d4.loss_dice: 1.0912, decode.d5.loss_cls: 0.7944, decode.d5.loss_mask: 0.7338, decode.d5.loss_dice: 1.0834, decode.d6.loss_cls: 0.7800, decode.d6.loss_mask: 0.7344, decode.d6.loss_dice: 1.0786, decode.d7.loss_cls: 0.7749, decode.d7.loss_mask: 0.7378, decode.d7.loss_dice: 1.0787, decode.d8.loss_cls: 0.7767, decode.d8.loss_mask: 0.7389, decode.d8.loss_dice: 1.0813, loss: 27.4890, grad_norm: 52.0823 2023-11-12 00:04:26,042 - mmseg - INFO - Iter [9100/160000] lr: 9.431e-05, eta: 21:52:00, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8164, decode.loss_mask: 0.7584, decode.loss_dice: 1.1219, decode.d0.loss_cls: 1.7782, decode.d0.loss_mask: 0.7930, decode.d0.loss_dice: 1.3029, decode.d1.loss_cls: 0.9403, decode.d1.loss_mask: 0.7867, decode.d1.loss_dice: 1.2151, decode.d2.loss_cls: 0.8625, decode.d2.loss_mask: 0.7657, decode.d2.loss_dice: 1.1577, decode.d3.loss_cls: 0.8479, decode.d3.loss_mask: 0.7602, decode.d3.loss_dice: 1.1388, decode.d4.loss_cls: 0.8378, decode.d4.loss_mask: 0.7611, decode.d4.loss_dice: 1.1381, decode.d5.loss_cls: 0.8339, decode.d5.loss_mask: 0.7552, decode.d5.loss_dice: 1.1290, decode.d6.loss_cls: 0.8165, decode.d6.loss_mask: 0.7610, decode.d6.loss_dice: 1.1247, decode.d7.loss_cls: 0.8203, decode.d7.loss_mask: 0.7546, decode.d7.loss_dice: 1.1309, decode.d8.loss_cls: 0.8194, decode.d8.loss_mask: 0.7587, decode.d8.loss_dice: 1.1317, loss: 28.6188, grad_norm: 48.9689 2023-11-12 00:04:50,494 - mmseg - INFO - Iter [9150/160000] lr: 9.428e-05, eta: 21:51:07, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7894, decode.loss_mask: 0.7957, decode.loss_dice: 1.1247, decode.d0.loss_cls: 1.7399, decode.d0.loss_mask: 0.8353, decode.d0.loss_dice: 1.2714, decode.d1.loss_cls: 0.9143, decode.d1.loss_mask: 0.8198, decode.d1.loss_dice: 1.1869, decode.d2.loss_cls: 0.8356, decode.d2.loss_mask: 0.8050, decode.d2.loss_dice: 1.1489, decode.d3.loss_cls: 0.8122, decode.d3.loss_mask: 0.7951, decode.d3.loss_dice: 1.1311, decode.d4.loss_cls: 0.8055, decode.d4.loss_mask: 0.7951, decode.d4.loss_dice: 1.1324, decode.d5.loss_cls: 0.8081, decode.d5.loss_mask: 0.7992, decode.d5.loss_dice: 1.1305, decode.d6.loss_cls: 0.7998, decode.d6.loss_mask: 0.7892, decode.d6.loss_dice: 1.1273, decode.d7.loss_cls: 0.7885, decode.d7.loss_mask: 0.8000, decode.d7.loss_dice: 1.1278, decode.d8.loss_cls: 0.7929, decode.d8.loss_mask: 0.7997, decode.d8.loss_dice: 1.1230, loss: 28.6243, grad_norm: 51.3681 2023-11-12 00:05:14,924 - mmseg - INFO - Iter [9200/160000] lr: 9.425e-05, eta: 21:50:14, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8203, decode.loss_mask: 0.7600, decode.loss_dice: 1.1320, decode.d0.loss_cls: 1.7804, decode.d0.loss_mask: 0.7937, decode.d0.loss_dice: 1.2966, decode.d1.loss_cls: 0.9494, decode.d1.loss_mask: 0.7852, decode.d1.loss_dice: 1.2115, decode.d2.loss_cls: 0.8786, decode.d2.loss_mask: 0.7661, decode.d2.loss_dice: 1.1612, decode.d3.loss_cls: 0.8565, decode.d3.loss_mask: 0.7600, decode.d3.loss_dice: 1.1366, decode.d4.loss_cls: 0.8487, decode.d4.loss_mask: 0.7555, decode.d4.loss_dice: 1.1402, decode.d5.loss_cls: 0.8434, decode.d5.loss_mask: 0.7570, decode.d5.loss_dice: 1.1327, decode.d6.loss_cls: 0.8289, decode.d6.loss_mask: 0.7569, decode.d6.loss_dice: 1.1283, decode.d7.loss_cls: 0.8233, decode.d7.loss_mask: 0.7547, decode.d7.loss_dice: 1.1374, decode.d8.loss_cls: 0.8277, decode.d8.loss_mask: 0.7579, decode.d8.loss_dice: 1.1370, loss: 28.7175, grad_norm: 52.5281 2023-11-12 00:05:39,083 - mmseg - INFO - Iter [9250/160000] lr: 9.422e-05, eta: 21:49:17, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.7655, decode.loss_mask: 0.8022, decode.loss_dice: 1.1350, decode.d0.loss_cls: 1.7289, decode.d0.loss_mask: 0.8375, decode.d0.loss_dice: 1.2959, decode.d1.loss_cls: 0.8918, decode.d1.loss_mask: 0.8276, decode.d1.loss_dice: 1.2047, decode.d2.loss_cls: 0.8283, decode.d2.loss_mask: 0.8105, decode.d2.loss_dice: 1.1661, decode.d3.loss_cls: 0.8019, decode.d3.loss_mask: 0.8085, decode.d3.loss_dice: 1.1395, decode.d4.loss_cls: 0.7948, decode.d4.loss_mask: 0.8051, decode.d4.loss_dice: 1.1370, decode.d5.loss_cls: 0.7817, decode.d5.loss_mask: 0.8047, decode.d5.loss_dice: 1.1358, decode.d6.loss_cls: 0.7659, decode.d6.loss_mask: 0.8034, decode.d6.loss_dice: 1.1333, decode.d7.loss_cls: 0.7715, decode.d7.loss_mask: 0.8071, decode.d7.loss_dice: 1.1361, decode.d8.loss_cls: 0.7663, decode.d8.loss_mask: 0.8049, decode.d8.loss_dice: 1.1373, loss: 28.6288, grad_norm: 52.4109 2023-11-12 00:06:03,166 - mmseg - INFO - Iter [9300/160000] lr: 9.419e-05, eta: 21:48:19, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.7673, decode.loss_mask: 0.7827, decode.loss_dice: 1.1081, decode.d0.loss_cls: 1.7135, decode.d0.loss_mask: 0.8135, decode.d0.loss_dice: 1.2713, decode.d1.loss_cls: 0.8797, decode.d1.loss_mask: 0.8061, decode.d1.loss_dice: 1.1825, decode.d2.loss_cls: 0.8067, decode.d2.loss_mask: 0.7907, decode.d2.loss_dice: 1.1373, decode.d3.loss_cls: 0.7895, decode.d3.loss_mask: 0.7861, decode.d3.loss_dice: 1.1166, decode.d4.loss_cls: 0.7858, decode.d4.loss_mask: 0.7822, decode.d4.loss_dice: 1.1155, decode.d5.loss_cls: 0.7785, decode.d5.loss_mask: 0.7829, decode.d5.loss_dice: 1.1141, decode.d6.loss_cls: 0.7729, decode.d6.loss_mask: 0.7845, decode.d6.loss_dice: 1.1041, decode.d7.loss_cls: 0.7725, decode.d7.loss_mask: 0.7834, decode.d7.loss_dice: 1.1081, decode.d8.loss_cls: 0.7626, decode.d8.loss_mask: 0.7832, decode.d8.loss_dice: 1.1042, loss: 28.0861, grad_norm: 50.7396 2023-11-12 00:06:27,407 - mmseg - INFO - Iter [9350/160000] lr: 9.416e-05, eta: 21:47:23, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7963, decode.loss_mask: 0.7760, decode.loss_dice: 1.1033, decode.d0.loss_cls: 1.7632, decode.d0.loss_mask: 0.8075, decode.d0.loss_dice: 1.2768, decode.d1.loss_cls: 0.9067, decode.d1.loss_mask: 0.8050, decode.d1.loss_dice: 1.1743, decode.d2.loss_cls: 0.8405, decode.d2.loss_mask: 0.7836, decode.d2.loss_dice: 1.1251, decode.d3.loss_cls: 0.8119, decode.d3.loss_mask: 0.7749, decode.d3.loss_dice: 1.1120, decode.d4.loss_cls: 0.8070, decode.d4.loss_mask: 0.7815, decode.d4.loss_dice: 1.1162, decode.d5.loss_cls: 0.8020, decode.d5.loss_mask: 0.7803, decode.d5.loss_dice: 1.1079, decode.d6.loss_cls: 0.7946, decode.d6.loss_mask: 0.7769, decode.d6.loss_dice: 1.1032, decode.d7.loss_cls: 0.7969, decode.d7.loss_mask: 0.7797, decode.d7.loss_dice: 1.1087, decode.d8.loss_cls: 0.7925, decode.d8.loss_mask: 0.7775, decode.d8.loss_dice: 1.0993, loss: 28.2812, grad_norm: 50.0998 2023-11-12 00:06:51,621 - mmseg - INFO - Iter [9400/160000] lr: 9.413e-05, eta: 21:46:28, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7813, decode.loss_mask: 0.8101, decode.loss_dice: 1.1586, decode.d0.loss_cls: 1.7172, decode.d0.loss_mask: 0.8430, decode.d0.loss_dice: 1.3025, decode.d1.loss_cls: 0.8837, decode.d1.loss_mask: 0.8363, decode.d1.loss_dice: 1.2236, decode.d2.loss_cls: 0.8217, decode.d2.loss_mask: 0.8212, decode.d2.loss_dice: 1.1817, decode.d3.loss_cls: 0.8001, decode.d3.loss_mask: 0.8141, decode.d3.loss_dice: 1.1671, decode.d4.loss_cls: 0.8018, decode.d4.loss_mask: 0.8158, decode.d4.loss_dice: 1.1611, decode.d5.loss_cls: 0.7931, decode.d5.loss_mask: 0.8091, decode.d5.loss_dice: 1.1609, decode.d6.loss_cls: 0.7837, decode.d6.loss_mask: 0.8145, decode.d6.loss_dice: 1.1606, decode.d7.loss_cls: 0.7800, decode.d7.loss_mask: 0.8148, decode.d7.loss_dice: 1.1657, decode.d8.loss_cls: 0.7871, decode.d8.loss_mask: 0.8109, decode.d8.loss_dice: 1.1618, loss: 28.9831, grad_norm: 50.3791 2023-11-12 00:07:15,840 - mmseg - INFO - Iter [9450/160000] lr: 9.409e-05, eta: 21:45:33, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7943, decode.loss_mask: 0.7732, decode.loss_dice: 1.1420, decode.d0.loss_cls: 1.7634, decode.d0.loss_mask: 0.8042, decode.d0.loss_dice: 1.3058, decode.d1.loss_cls: 0.9151, decode.d1.loss_mask: 0.8048, decode.d1.loss_dice: 1.2265, decode.d2.loss_cls: 0.8488, decode.d2.loss_mask: 0.7849, decode.d2.loss_dice: 1.1822, decode.d3.loss_cls: 0.8214, decode.d3.loss_mask: 0.7778, decode.d3.loss_dice: 1.1555, decode.d4.loss_cls: 0.8145, decode.d4.loss_mask: 0.7753, decode.d4.loss_dice: 1.1564, decode.d5.loss_cls: 0.8119, decode.d5.loss_mask: 0.7722, decode.d5.loss_dice: 1.1510, decode.d6.loss_cls: 0.8095, decode.d6.loss_mask: 0.7717, decode.d6.loss_dice: 1.1386, decode.d7.loss_cls: 0.7967, decode.d7.loss_mask: 0.7766, decode.d7.loss_dice: 1.1444, decode.d8.loss_cls: 0.7932, decode.d8.loss_mask: 0.7785, decode.d8.loss_dice: 1.1417, loss: 28.7320, grad_norm: 50.6880 2023-11-12 00:07:40,005 - mmseg - INFO - Iter [9500/160000] lr: 9.406e-05, eta: 21:44:38, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.7685, decode.loss_mask: 0.7503, decode.loss_dice: 1.0761, decode.d0.loss_cls: 1.6771, decode.d0.loss_mask: 0.7766, decode.d0.loss_dice: 1.2476, decode.d1.loss_cls: 0.8693, decode.d1.loss_mask: 0.7718, decode.d1.loss_dice: 1.1481, decode.d2.loss_cls: 0.8082, decode.d2.loss_mask: 0.7547, decode.d2.loss_dice: 1.1027, decode.d3.loss_cls: 0.7749, decode.d3.loss_mask: 0.7542, decode.d3.loss_dice: 1.0884, decode.d4.loss_cls: 0.7744, decode.d4.loss_mask: 0.7483, decode.d4.loss_dice: 1.0889, decode.d5.loss_cls: 0.7716, decode.d5.loss_mask: 0.7464, decode.d5.loss_dice: 1.0821, decode.d6.loss_cls: 0.7628, decode.d6.loss_mask: 0.7437, decode.d6.loss_dice: 1.0897, decode.d7.loss_cls: 0.7592, decode.d7.loss_mask: 0.7453, decode.d7.loss_dice: 1.0900, decode.d8.loss_cls: 0.7584, decode.d8.loss_mask: 0.7495, decode.d8.loss_dice: 1.0856, loss: 27.3643, grad_norm: 48.2219 2023-11-12 00:08:04,504 - mmseg - INFO - Iter [9550/160000] lr: 9.403e-05, eta: 21:43:48, time: 0.490, data_time: 0.014, memory: 41146, decode.loss_cls: 0.7736, decode.loss_mask: 0.7514, decode.loss_dice: 1.1029, decode.d0.loss_cls: 1.7209, decode.d0.loss_mask: 0.7916, decode.d0.loss_dice: 1.2681, decode.d1.loss_cls: 0.8806, decode.d1.loss_mask: 0.7784, decode.d1.loss_dice: 1.1778, decode.d2.loss_cls: 0.8085, decode.d2.loss_mask: 0.7543, decode.d2.loss_dice: 1.1279, decode.d3.loss_cls: 0.7901, decode.d3.loss_mask: 0.7515, decode.d3.loss_dice: 1.1116, decode.d4.loss_cls: 0.7843, decode.d4.loss_mask: 0.7504, decode.d4.loss_dice: 1.1066, decode.d5.loss_cls: 0.7770, decode.d5.loss_mask: 0.7565, decode.d5.loss_dice: 1.1040, decode.d6.loss_cls: 0.7715, decode.d6.loss_mask: 0.7546, decode.d6.loss_dice: 1.1030, decode.d7.loss_cls: 0.7727, decode.d7.loss_mask: 0.7565, decode.d7.loss_dice: 1.0946, decode.d8.loss_cls: 0.7734, decode.d8.loss_mask: 0.7533, decode.d8.loss_dice: 1.1026, loss: 27.7503, grad_norm: 49.4553 2023-11-12 00:08:28,974 - mmseg - INFO - Iter [9600/160000] lr: 9.400e-05, eta: 21:42:58, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.8087, decode.loss_mask: 0.7766, decode.loss_dice: 1.1335, decode.d0.loss_cls: 1.7578, decode.d0.loss_mask: 0.8131, decode.d0.loss_dice: 1.2993, decode.d1.loss_cls: 0.9257, decode.d1.loss_mask: 0.8095, decode.d1.loss_dice: 1.2065, decode.d2.loss_cls: 0.8612, decode.d2.loss_mask: 0.7803, decode.d2.loss_dice: 1.1518, decode.d3.loss_cls: 0.8380, decode.d3.loss_mask: 0.7725, decode.d3.loss_dice: 1.1363, decode.d4.loss_cls: 0.8281, decode.d4.loss_mask: 0.7773, decode.d4.loss_dice: 1.1431, decode.d5.loss_cls: 0.8168, decode.d5.loss_mask: 0.7704, decode.d5.loss_dice: 1.1403, decode.d6.loss_cls: 0.8186, decode.d6.loss_mask: 0.7681, decode.d6.loss_dice: 1.1252, decode.d7.loss_cls: 0.8201, decode.d7.loss_mask: 0.7702, decode.d7.loss_dice: 1.1298, decode.d8.loss_cls: 0.8167, decode.d8.loss_mask: 0.7698, decode.d8.loss_dice: 1.1377, loss: 28.7027, grad_norm: 53.0040 2023-11-12 00:08:53,273 - mmseg - INFO - Iter [9650/160000] lr: 9.397e-05, eta: 21:42:06, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7865, decode.loss_mask: 0.7819, decode.loss_dice: 1.1412, decode.d0.loss_cls: 1.7348, decode.d0.loss_mask: 0.8082, decode.d0.loss_dice: 1.2983, decode.d1.loss_cls: 0.9150, decode.d1.loss_mask: 0.8091, decode.d1.loss_dice: 1.2201, decode.d2.loss_cls: 0.8354, decode.d2.loss_mask: 0.7877, decode.d2.loss_dice: 1.1615, decode.d3.loss_cls: 0.8110, decode.d3.loss_mask: 0.7816, decode.d3.loss_dice: 1.1488, decode.d4.loss_cls: 0.8028, decode.d4.loss_mask: 0.7808, decode.d4.loss_dice: 1.1500, decode.d5.loss_cls: 0.8036, decode.d5.loss_mask: 0.7792, decode.d5.loss_dice: 1.1449, decode.d6.loss_cls: 0.7986, decode.d6.loss_mask: 0.7753, decode.d6.loss_dice: 1.1358, decode.d7.loss_cls: 0.7886, decode.d7.loss_mask: 0.7766, decode.d7.loss_dice: 1.1376, decode.d8.loss_cls: 0.7891, decode.d8.loss_mask: 0.7771, decode.d8.loss_dice: 1.1422, loss: 28.6030, grad_norm: 51.4951 2023-11-12 00:09:17,497 - mmseg - INFO - Iter [9700/160000] lr: 9.394e-05, eta: 21:41:13, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7785, decode.loss_mask: 0.7718, decode.loss_dice: 1.1123, decode.d0.loss_cls: 1.7544, decode.d0.loss_mask: 0.8078, decode.d0.loss_dice: 1.2763, decode.d1.loss_cls: 0.8990, decode.d1.loss_mask: 0.8080, decode.d1.loss_dice: 1.1762, decode.d2.loss_cls: 0.8262, decode.d2.loss_mask: 0.7851, decode.d2.loss_dice: 1.1300, decode.d3.loss_cls: 0.7981, decode.d3.loss_mask: 0.7757, decode.d3.loss_dice: 1.1219, decode.d4.loss_cls: 0.7980, decode.d4.loss_mask: 0.7761, decode.d4.loss_dice: 1.1196, decode.d5.loss_cls: 0.7924, decode.d5.loss_mask: 0.7786, decode.d5.loss_dice: 1.1174, decode.d6.loss_cls: 0.7897, decode.d6.loss_mask: 0.7737, decode.d6.loss_dice: 1.1029, decode.d7.loss_cls: 0.7835, decode.d7.loss_mask: 0.7779, decode.d7.loss_dice: 1.1125, decode.d8.loss_cls: 0.7816, decode.d8.loss_mask: 0.7753, decode.d8.loss_dice: 1.1109, loss: 28.2114, grad_norm: 52.3417 2023-11-12 00:09:41,601 - mmseg - INFO - Iter [9750/160000] lr: 9.391e-05, eta: 21:40:18, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.7827, decode.loss_mask: 0.7434, decode.loss_dice: 1.1086, decode.d0.loss_cls: 1.7448, decode.d0.loss_mask: 0.7918, decode.d0.loss_dice: 1.2742, decode.d1.loss_cls: 0.8786, decode.d1.loss_mask: 0.7773, decode.d1.loss_dice: 1.1884, decode.d2.loss_cls: 0.8246, decode.d2.loss_mask: 0.7563, decode.d2.loss_dice: 1.1473, decode.d3.loss_cls: 0.8016, decode.d3.loss_mask: 0.7430, decode.d3.loss_dice: 1.1241, decode.d4.loss_cls: 0.7878, decode.d4.loss_mask: 0.7480, decode.d4.loss_dice: 1.1252, decode.d5.loss_cls: 0.7960, decode.d5.loss_mask: 0.7488, decode.d5.loss_dice: 1.1228, decode.d6.loss_cls: 0.7851, decode.d6.loss_mask: 0.7411, decode.d6.loss_dice: 1.1128, decode.d7.loss_cls: 0.7815, decode.d7.loss_mask: 0.7494, decode.d7.loss_dice: 1.1192, decode.d8.loss_cls: 0.7805, decode.d8.loss_mask: 0.7474, decode.d8.loss_dice: 1.1095, loss: 27.9420, grad_norm: 48.4775 2023-11-12 00:10:05,658 - mmseg - INFO - Iter [9800/160000] lr: 9.388e-05, eta: 21:39:23, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7549, decode.loss_mask: 0.7391, decode.loss_dice: 1.0760, decode.d0.loss_cls: 1.6959, decode.d0.loss_mask: 0.7760, decode.d0.loss_dice: 1.2504, decode.d1.loss_cls: 0.8718, decode.d1.loss_mask: 0.7728, decode.d1.loss_dice: 1.1551, decode.d2.loss_cls: 0.7951, decode.d2.loss_mask: 0.7517, decode.d2.loss_dice: 1.1179, decode.d3.loss_cls: 0.7798, decode.d3.loss_mask: 0.7444, decode.d3.loss_dice: 1.0858, decode.d4.loss_cls: 0.7737, decode.d4.loss_mask: 0.7478, decode.d4.loss_dice: 1.0883, decode.d5.loss_cls: 0.7614, decode.d5.loss_mask: 0.7360, decode.d5.loss_dice: 1.0846, decode.d6.loss_cls: 0.7577, decode.d6.loss_mask: 0.7371, decode.d6.loss_dice: 1.0826, decode.d7.loss_cls: 0.7532, decode.d7.loss_mask: 0.7378, decode.d7.loss_dice: 1.0763, decode.d8.loss_cls: 0.7560, decode.d8.loss_mask: 0.7366, decode.d8.loss_dice: 1.0798, loss: 27.2758, grad_norm: 50.5126 2023-11-12 00:10:29,933 - mmseg - INFO - Iter [9850/160000] lr: 9.384e-05, eta: 21:38:31, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7520, decode.loss_mask: 0.7775, decode.loss_dice: 1.1281, decode.d0.loss_cls: 1.7039, decode.d0.loss_mask: 0.8120, decode.d0.loss_dice: 1.2842, decode.d1.loss_cls: 0.8530, decode.d1.loss_mask: 0.8078, decode.d1.loss_dice: 1.2074, decode.d2.loss_cls: 0.7922, decode.d2.loss_mask: 0.7909, decode.d2.loss_dice: 1.1499, decode.d3.loss_cls: 0.7728, decode.d3.loss_mask: 0.7747, decode.d3.loss_dice: 1.1269, decode.d4.loss_cls: 0.7647, decode.d4.loss_mask: 0.7732, decode.d4.loss_dice: 1.1325, decode.d5.loss_cls: 0.7603, decode.d5.loss_mask: 0.7784, decode.d5.loss_dice: 1.1359, decode.d6.loss_cls: 0.7473, decode.d6.loss_mask: 0.7837, decode.d6.loss_dice: 1.1271, decode.d7.loss_cls: 0.7420, decode.d7.loss_mask: 0.7851, decode.d7.loss_dice: 1.1303, decode.d8.loss_cls: 0.7463, decode.d8.loss_mask: 0.7828, decode.d8.loss_dice: 1.1380, loss: 28.0610, grad_norm: 51.3915 2023-11-12 00:10:54,035 - mmseg - INFO - Iter [9900/160000] lr: 9.381e-05, eta: 21:37:37, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.7757, decode.loss_mask: 0.8088, decode.loss_dice: 1.1630, decode.d0.loss_cls: 1.7493, decode.d0.loss_mask: 0.8427, decode.d0.loss_dice: 1.3261, decode.d1.loss_cls: 0.8992, decode.d1.loss_mask: 0.8262, decode.d1.loss_dice: 1.2476, decode.d2.loss_cls: 0.8278, decode.d2.loss_mask: 0.8165, decode.d2.loss_dice: 1.1886, decode.d3.loss_cls: 0.7972, decode.d3.loss_mask: 0.8150, decode.d3.loss_dice: 1.1657, decode.d4.loss_cls: 0.7943, decode.d4.loss_mask: 0.8137, decode.d4.loss_dice: 1.1658, decode.d5.loss_cls: 0.7939, decode.d5.loss_mask: 0.8056, decode.d5.loss_dice: 1.1684, decode.d6.loss_cls: 0.7869, decode.d6.loss_mask: 0.8062, decode.d6.loss_dice: 1.1590, decode.d7.loss_cls: 0.7838, decode.d7.loss_mask: 0.8107, decode.d7.loss_dice: 1.1629, decode.d8.loss_cls: 0.7793, decode.d8.loss_mask: 0.8089, decode.d8.loss_dice: 1.1614, loss: 29.0501, grad_norm: 49.2115 2023-11-12 00:11:18,302 - mmseg - INFO - Iter [9950/160000] lr: 9.378e-05, eta: 21:36:46, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7894, decode.loss_mask: 0.7785, decode.loss_dice: 1.1320, decode.d0.loss_cls: 1.7580, decode.d0.loss_mask: 0.8177, decode.d0.loss_dice: 1.3106, decode.d1.loss_cls: 0.9097, decode.d1.loss_mask: 0.7942, decode.d1.loss_dice: 1.2157, decode.d2.loss_cls: 0.8367, decode.d2.loss_mask: 0.7846, decode.d2.loss_dice: 1.1649, decode.d3.loss_cls: 0.8181, decode.d3.loss_mask: 0.7692, decode.d3.loss_dice: 1.1384, decode.d4.loss_cls: 0.8141, decode.d4.loss_mask: 0.7718, decode.d4.loss_dice: 1.1433, decode.d5.loss_cls: 0.7960, decode.d5.loss_mask: 0.7816, decode.d5.loss_dice: 1.1364, decode.d6.loss_cls: 0.7937, decode.d6.loss_mask: 0.7735, decode.d6.loss_dice: 1.1280, decode.d7.loss_cls: 0.7884, decode.d7.loss_mask: 0.7762, decode.d7.loss_dice: 1.1397, decode.d8.loss_cls: 0.7933, decode.d8.loss_mask: 0.7734, decode.d8.loss_dice: 1.1374, loss: 28.5646, grad_norm: 48.6568 2023-11-12 00:11:42,749 - mmseg - INFO - Saving checkpoint at 10000 iterations 2023-11-12 00:11:46,871 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 00:11:46,871 - mmseg - INFO - Iter [10000/160000] lr: 9.375e-05, eta: 21:37:00, time: 0.571, data_time: 0.012, memory: 41146, decode.loss_cls: 0.7396, decode.loss_mask: 0.7904, decode.loss_dice: 1.1105, decode.d0.loss_cls: 1.6739, decode.d0.loss_mask: 0.8212, decode.d0.loss_dice: 1.2718, decode.d1.loss_cls: 0.8710, decode.d1.loss_mask: 0.8168, decode.d1.loss_dice: 1.1873, decode.d2.loss_cls: 0.7938, decode.d2.loss_mask: 0.7960, decode.d2.loss_dice: 1.1431, decode.d3.loss_cls: 0.7649, decode.d3.loss_mask: 0.7892, decode.d3.loss_dice: 1.1208, decode.d4.loss_cls: 0.7597, decode.d4.loss_mask: 0.7833, decode.d4.loss_dice: 1.1231, decode.d5.loss_cls: 0.7436, decode.d5.loss_mask: 0.7912, decode.d5.loss_dice: 1.1148, decode.d6.loss_cls: 0.7463, decode.d6.loss_mask: 0.7800, decode.d6.loss_dice: 1.1085, decode.d7.loss_cls: 0.7421, decode.d7.loss_mask: 0.7848, decode.d7.loss_dice: 1.1144, decode.d8.loss_cls: 0.7413, decode.d8.loss_mask: 0.7890, decode.d8.loss_dice: 1.1179, loss: 27.9306, grad_norm: 49.0708 2023-11-12 00:12:10,586 - mmseg - INFO - per class results: 2023-11-12 00:12:10,591 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 76.6 | 84.64 | | building | 79.4 | 92.03 | | sky | 94.57 | 97.31 | | floor | 82.56 | 87.94 | | tree | 73.5 | 88.56 | | ceiling | 85.05 | 92.76 | | road | 78.37 | 86.35 | | bed | 88.4 | 93.24 | | windowpane | 58.37 | 69.94 | | grass | 58.43 | 64.25 | | cabinet | 60.18 | 72.43 | | sidewalk | 63.45 | 83.37 | | person | 84.51 | 90.94 | | earth | 39.08 | 56.07 | | door | 40.52 | 69.83 | | table | 56.66 | 75.4 | | mountain | 60.33 | 78.19 | | plant | 50.16 | 59.47 | | curtain | 76.98 | 87.74 | | chair | 52.61 | 66.1 | | car | 83.65 | 89.13 | | water | 52.38 | 65.49 | | painting | 70.99 | 85.73 | | sofa | 62.55 | 80.45 | | shelf | 40.91 | 61.89 | | house | 43.27 | 56.24 | | sea | 58.75 | 78.14 | | mirror | 64.79 | 78.52 | | rug | 71.6 | 84.5 | | field | 20.58 | 51.65 | | armchair | 35.24 | 61.9 | | seat | 57.05 | 76.36 | | fence | 47.78 | 66.46 | | desk | 38.98 | 60.35 | | rock | 38.02 | 55.33 | | wardrobe | 47.35 | 63.75 | | lamp | 65.99 | 77.92 | | bathtub | 70.71 | 78.74 | | railing | 32.26 | 52.45 | | cushion | 61.5 | 77.37 | | base | 15.96 | 19.37 | | box | 22.5 | 34.17 | | column | 51.88 | 71.61 | | signboard | 34.47 | 53.42 | | chest of drawers | 40.74 | 69.54 | | counter | 26.42 | 29.63 | | sand | 25.95 | 49.25 | | sink | 68.22 | 84.03 | | skyscraper | 37.16 | 51.93 | | fireplace | 63.29 | 90.54 | | refrigerator | 63.44 | 82.01 | | grandstand | 53.48 | 65.33 | | path | 17.67 | 33.22 | | stairs | 12.72 | 14.93 | | runway | 49.83 | 64.48 | | case | 45.64 | 56.82 | | pool table | 89.56 | 96.71 | | pillow | 56.84 | 75.25 | | screen door | 48.3 | 51.85 | | stairway | 18.67 | 42.72 | | river | 11.48 | 25.34 | | bridge | 62.26 | 91.04 | | bookcase | 29.93 | 47.1 | | blind | 45.67 | 68.13 | | coffee table | 57.71 | 85.24 | | toilet | 84.05 | 91.25 | | flower | 38.13 | 57.48 | | book | 46.8 | 73.31 | | hill | 8.52 | 14.82 | | bench | 32.65 | 39.46 | | countertop | 57.2 | 76.59 | | stove | 65.7 | 88.98 | | palm | 52.41 | 70.01 | | kitchen island | 20.0 | 85.46 | | computer | 76.36 | 88.1 | | swivel chair | 35.27 | 47.24 | | boat | 69.91 | 93.64 | | bar | 11.19 | 11.41 | | arcade machine | 18.0 | 18.64 | | hovel | 7.02 | 8.27 | | bus | 87.65 | 96.89 | | towel | 67.98 | 89.8 | | light | 59.74 | 76.2 | | truck | 27.04 | 61.41 | | tower | 12.53 | 21.27 | | chandelier | 58.91 | 85.08 | | awning | 31.46 | 53.88 | | streetlight | 33.29 | 50.15 | | booth | 28.37 | 28.65 | | television receiver | 55.69 | 85.5 | | airplane | 53.24 | 67.31 | | dirt track | 0.0 | 0.0 | | apparel | 28.27 | 55.41 | | pole | 27.47 | 46.49 | | land | 3.41 | 3.43 | | bannister | 6.67 | 7.33 | | escalator | 0.0 | 0.0 | | ottoman | 44.5 | 70.44 | | bottle | 28.88 | 39.47 | | buffet | 0.0 | 0.0 | | poster | 11.33 | 17.37 | | stage | 8.18 | 10.27 | | van | 38.32 | 60.34 | | ship | 25.99 | 26.61 | | fountain | 20.64 | 22.22 | | conveyer belt | 42.27 | 63.02 | | canopy | 18.53 | 19.51 | | washer | 63.06 | 64.83 | | plaything | 23.76 | 58.29 | | swimming pool | 9.38 | 16.63 | | stool | 35.42 | 63.55 | | barrel | 28.69 | 73.15 | | basket | 38.94 | 58.0 | | waterfall | 41.3 | 57.7 | | tent | 95.26 | 97.97 | | bag | 20.89 | 24.71 | | minibike | 71.41 | 88.6 | | cradle | 63.3 | 70.82 | | oven | 24.16 | 27.24 | | ball | 42.32 | 64.66 | | food | 62.73 | 76.04 | | step | 10.84 | 11.66 | | tank | 27.38 | 32.93 | | trade name | 34.08 | 47.21 | | microwave | 81.03 | 93.76 | | pot | 44.23 | 54.51 | | animal | 66.73 | 71.13 | | bicycle | 60.0 | 83.7 | | lake | 0.0 | 0.0 | | dishwasher | 74.17 | 88.0 | | screen | 58.66 | 78.22 | | blanket | 15.83 | 19.6 | | sculpture | 35.01 | 88.85 | | hood | 42.72 | 72.33 | | sconce | 44.27 | 60.84 | | vase | 33.84 | 78.11 | | traffic light | 29.13 | 79.04 | | tray | 10.78 | 14.26 | | ashcan | 48.38 | 61.64 | | fan | 49.81 | 77.03 | | pier | 0.26 | 0.27 | | crt screen | 9.43 | 12.45 | | plate | 60.14 | 80.2 | | monitor | 28.49 | 34.25 | | bulletin board | 0.0 | 0.0 | | shower | 6.29 | 11.0 | | radiator | 61.55 | 72.84 | | glass | 20.79 | 27.56 | | clock | 27.44 | 44.21 | | flag | 46.75 | 56.0 | +---------------------+-------+-------+ 2023-11-12 00:12:10,591 - mmseg - INFO - Summary: 2023-11-12 00:12:10,591 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 81.23 | 43.77 | 58.46 | +-------+-------+-------+ 2023-11-12 00:12:10,736 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_8000.pth was removed 2023-11-12 00:12:13,929 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_10000.pth. 2023-11-12 00:12:13,930 - mmseg - INFO - Best mIoU is 0.4377 at 10000 iter. 2023-11-12 00:12:13,930 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 00:12:13,930 - mmseg - INFO - Iter(val) [250] aAcc: 0.8123, mIoU: 0.4377, mAcc: 0.5846, IoU.wall: 0.7660, IoU.building: 0.7940, IoU.sky: 0.9457, IoU.floor: 0.8256, IoU.tree: 0.7350, IoU.ceiling: 0.8505, IoU.road: 0.7837, IoU.bed : 0.8840, IoU.windowpane: 0.5837, IoU.grass: 0.5843, IoU.cabinet: 0.6018, IoU.sidewalk: 0.6345, IoU.person: 0.8451, IoU.earth: 0.3908, IoU.door: 0.4052, IoU.table: 0.5666, IoU.mountain: 0.6033, IoU.plant: 0.5016, IoU.curtain: 0.7698, IoU.chair: 0.5261, IoU.car: 0.8365, IoU.water: 0.5238, IoU.painting: 0.7099, IoU.sofa: 0.6255, IoU.shelf: 0.4091, IoU.house: 0.4327, IoU.sea: 0.5875, IoU.mirror: 0.6479, IoU.rug: 0.7160, IoU.field: 0.2058, IoU.armchair: 0.3524, IoU.seat: 0.5705, IoU.fence: 0.4778, IoU.desk: 0.3898, IoU.rock: 0.3802, IoU.wardrobe: 0.4735, IoU.lamp: 0.6599, IoU.bathtub: 0.7071, IoU.railing: 0.3226, IoU.cushion: 0.6150, IoU.base: 0.1596, IoU.box: 0.2250, IoU.column: 0.5188, IoU.signboard: 0.3447, IoU.chest of drawers: 0.4074, IoU.counter: 0.2642, IoU.sand: 0.2595, IoU.sink: 0.6822, IoU.skyscraper: 0.3716, IoU.fireplace: 0.6329, IoU.refrigerator: 0.6344, IoU.grandstand: 0.5348, IoU.path: 0.1767, IoU.stairs: 0.1272, IoU.runway: 0.4983, IoU.case: 0.4564, IoU.pool table: 0.8956, IoU.pillow: 0.5684, IoU.screen door: 0.4830, IoU.stairway: 0.1867, IoU.river: 0.1148, IoU.bridge: 0.6226, IoU.bookcase: 0.2993, IoU.blind: 0.4567, IoU.coffee table: 0.5771, IoU.toilet: 0.8405, IoU.flower: 0.3813, IoU.book: 0.4680, IoU.hill: 0.0852, IoU.bench: 0.3265, IoU.countertop: 0.5720, IoU.stove: 0.6570, IoU.palm: 0.5241, IoU.kitchen island: 0.2000, IoU.computer: 0.7636, IoU.swivel chair: 0.3527, IoU.boat: 0.6991, IoU.bar: 0.1119, IoU.arcade machine: 0.1800, IoU.hovel: 0.0702, IoU.bus: 0.8765, IoU.towel: 0.6798, IoU.light: 0.5974, IoU.truck: 0.2704, IoU.tower: 0.1253, IoU.chandelier: 0.5891, IoU.awning: 0.3146, IoU.streetlight: 0.3329, IoU.booth: 0.2837, IoU.television receiver: 0.5569, IoU.airplane: 0.5324, IoU.dirt track: 0.0000, IoU.apparel: 0.2827, IoU.pole: 0.2747, IoU.land: 0.0341, IoU.bannister: 0.0667, IoU.escalator: 0.0000, IoU.ottoman: 0.4450, IoU.bottle: 0.2888, IoU.buffet: 0.0000, IoU.poster: 0.1133, IoU.stage: 0.0818, IoU.van: 0.3832, IoU.ship: 0.2599, IoU.fountain: 0.2064, IoU.conveyer belt: 0.4227, IoU.canopy: 0.1853, IoU.washer: 0.6306, IoU.plaything: 0.2376, IoU.swimming pool: 0.0938, IoU.stool: 0.3542, IoU.barrel: 0.2869, IoU.basket: 0.3894, IoU.waterfall: 0.4130, IoU.tent: 0.9526, IoU.bag: 0.2089, IoU.minibike: 0.7141, IoU.cradle: 0.6330, IoU.oven: 0.2416, IoU.ball: 0.4232, IoU.food: 0.6273, IoU.step: 0.1084, IoU.tank: 0.2738, IoU.trade name: 0.3408, IoU.microwave: 0.8103, IoU.pot: 0.4423, IoU.animal: 0.6673, IoU.bicycle: 0.6000, IoU.lake: 0.0000, IoU.dishwasher: 0.7417, IoU.screen: 0.5866, IoU.blanket: 0.1583, IoU.sculpture: 0.3501, IoU.hood: 0.4272, IoU.sconce: 0.4427, IoU.vase: 0.3384, IoU.traffic light: 0.2913, IoU.tray: 0.1078, IoU.ashcan: 0.4838, IoU.fan: 0.4981, IoU.pier: 0.0026, IoU.crt screen: 0.0943, IoU.plate: 0.6014, IoU.monitor: 0.2849, IoU.bulletin board: 0.0000, IoU.shower: 0.0629, IoU.radiator: 0.6155, IoU.glass: 0.2079, IoU.clock: 0.2744, IoU.flag: 0.4675, Acc.wall: 0.8464, Acc.building: 0.9203, Acc.sky: 0.9731, Acc.floor: 0.8794, Acc.tree: 0.8856, Acc.ceiling: 0.9276, Acc.road: 0.8635, Acc.bed : 0.9324, Acc.windowpane: 0.6994, Acc.grass: 0.6425, Acc.cabinet: 0.7243, Acc.sidewalk: 0.8337, Acc.person: 0.9094, Acc.earth: 0.5607, Acc.door: 0.6983, Acc.table: 0.7540, Acc.mountain: 0.7819, Acc.plant: 0.5947, Acc.curtain: 0.8774, Acc.chair: 0.6610, Acc.car: 0.8913, Acc.water: 0.6549, Acc.painting: 0.8573, Acc.sofa: 0.8045, Acc.shelf: 0.6189, Acc.house: 0.5624, Acc.sea: 0.7814, Acc.mirror: 0.7852, Acc.rug: 0.8450, Acc.field: 0.5165, Acc.armchair: 0.6190, Acc.seat: 0.7636, Acc.fence: 0.6646, Acc.desk: 0.6035, Acc.rock: 0.5533, Acc.wardrobe: 0.6375, Acc.lamp: 0.7792, Acc.bathtub: 0.7874, Acc.railing: 0.5245, Acc.cushion: 0.7737, Acc.base: 0.1937, Acc.box: 0.3417, Acc.column: 0.7161, Acc.signboard: 0.5342, Acc.chest of drawers: 0.6954, Acc.counter: 0.2963, Acc.sand: 0.4925, Acc.sink: 0.8403, Acc.skyscraper: 0.5193, Acc.fireplace: 0.9054, Acc.refrigerator: 0.8201, Acc.grandstand: 0.6533, Acc.path: 0.3322, Acc.stairs: 0.1493, Acc.runway: 0.6448, Acc.case: 0.5682, Acc.pool table: 0.9671, Acc.pillow: 0.7525, Acc.screen door: 0.5185, Acc.stairway: 0.4272, Acc.river: 0.2534, Acc.bridge: 0.9104, Acc.bookcase: 0.4710, Acc.blind: 0.6813, Acc.coffee table: 0.8524, Acc.toilet: 0.9125, Acc.flower: 0.5748, Acc.book: 0.7331, Acc.hill: 0.1482, Acc.bench: 0.3946, Acc.countertop: 0.7659, Acc.stove: 0.8898, Acc.palm: 0.7001, Acc.kitchen island: 0.8546, Acc.computer: 0.8810, Acc.swivel chair: 0.4724, Acc.boat: 0.9364, Acc.bar: 0.1141, Acc.arcade machine: 0.1864, Acc.hovel: 0.0827, Acc.bus: 0.9689, Acc.towel: 0.8980, Acc.light: 0.7620, Acc.truck: 0.6141, Acc.tower: 0.2127, Acc.chandelier: 0.8508, Acc.awning: 0.5388, Acc.streetlight: 0.5015, Acc.booth: 0.2865, Acc.television receiver: 0.8550, Acc.airplane: 0.6731, Acc.dirt track: 0.0000, Acc.apparel: 0.5541, Acc.pole: 0.4649, Acc.land: 0.0343, Acc.bannister: 0.0733, Acc.escalator: 0.0000, Acc.ottoman: 0.7044, Acc.bottle: 0.3947, Acc.buffet: 0.0000, Acc.poster: 0.1737, Acc.stage: 0.1027, Acc.van: 0.6034, Acc.ship: 0.2661, Acc.fountain: 0.2222, Acc.conveyer belt: 0.6302, Acc.canopy: 0.1951, Acc.washer: 0.6483, Acc.plaything: 0.5829, Acc.swimming pool: 0.1663, Acc.stool: 0.6355, Acc.barrel: 0.7315, Acc.basket: 0.5800, Acc.waterfall: 0.5770, Acc.tent: 0.9797, Acc.bag: 0.2471, Acc.minibike: 0.8860, Acc.cradle: 0.7082, Acc.oven: 0.2724, Acc.ball: 0.6466, Acc.food: 0.7604, Acc.step: 0.1166, Acc.tank: 0.3293, Acc.trade name: 0.4721, Acc.microwave: 0.9376, Acc.pot: 0.5451, Acc.animal: 0.7113, Acc.bicycle: 0.8370, Acc.lake: 0.0000, Acc.dishwasher: 0.8800, Acc.screen: 0.7822, Acc.blanket: 0.1960, Acc.sculpture: 0.8885, Acc.hood: 0.7233, Acc.sconce: 0.6084, Acc.vase: 0.7811, Acc.traffic light: 0.7904, Acc.tray: 0.1426, Acc.ashcan: 0.6164, Acc.fan: 0.7703, Acc.pier: 0.0027, Acc.crt screen: 0.1245, Acc.plate: 0.8020, Acc.monitor: 0.3425, Acc.bulletin board: 0.0000, Acc.shower: 0.1100, Acc.radiator: 0.7284, Acc.glass: 0.2756, Acc.clock: 0.4421, Acc.flag: 0.5600 2023-11-12 00:12:38,095 - mmseg - INFO - Iter [10050/160000] lr: 9.372e-05, eta: 21:42:51, time: 1.024, data_time: 0.554, memory: 41146, decode.loss_cls: 0.7728, decode.loss_mask: 0.7698, decode.loss_dice: 1.1058, decode.d0.loss_cls: 1.7204, decode.d0.loss_mask: 0.8052, decode.d0.loss_dice: 1.2674, decode.d1.loss_cls: 0.8907, decode.d1.loss_mask: 0.7966, decode.d1.loss_dice: 1.1769, decode.d2.loss_cls: 0.8176, decode.d2.loss_mask: 0.7814, decode.d2.loss_dice: 1.1381, decode.d3.loss_cls: 0.8034, decode.d3.loss_mask: 0.7695, decode.d3.loss_dice: 1.1099, decode.d4.loss_cls: 0.7902, decode.d4.loss_mask: 0.7690, decode.d4.loss_dice: 1.1088, decode.d5.loss_cls: 0.7888, decode.d5.loss_mask: 0.7732, decode.d5.loss_dice: 1.1153, decode.d6.loss_cls: 0.7861, decode.d6.loss_mask: 0.7742, decode.d6.loss_dice: 1.1070, decode.d7.loss_cls: 0.7755, decode.d7.loss_mask: 0.7711, decode.d7.loss_dice: 1.1111, decode.d8.loss_cls: 0.7778, decode.d8.loss_mask: 0.7749, decode.d8.loss_dice: 1.1066, loss: 28.0552, grad_norm: 47.5482 2023-11-12 00:13:02,215 - mmseg - INFO - Iter [10100/160000] lr: 9.369e-05, eta: 21:41:56, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.7896, decode.loss_mask: 0.7716, decode.loss_dice: 1.1048, decode.d0.loss_cls: 1.7690, decode.d0.loss_mask: 0.8030, decode.d0.loss_dice: 1.2617, decode.d1.loss_cls: 0.8953, decode.d1.loss_mask: 0.7962, decode.d1.loss_dice: 1.1754, decode.d2.loss_cls: 0.8261, decode.d2.loss_mask: 0.7781, decode.d2.loss_dice: 1.1282, decode.d3.loss_cls: 0.8071, decode.d3.loss_mask: 0.7710, decode.d3.loss_dice: 1.1117, decode.d4.loss_cls: 0.8078, decode.d4.loss_mask: 0.7713, decode.d4.loss_dice: 1.1128, decode.d5.loss_cls: 0.7999, decode.d5.loss_mask: 0.7749, decode.d5.loss_dice: 1.1100, decode.d6.loss_cls: 0.8036, decode.d6.loss_mask: 0.7729, decode.d6.loss_dice: 1.1025, decode.d7.loss_cls: 0.7900, decode.d7.loss_mask: 0.7724, decode.d7.loss_dice: 1.1160, decode.d8.loss_cls: 0.7865, decode.d8.loss_mask: 0.7704, decode.d8.loss_dice: 1.1137, loss: 28.1937, grad_norm: 50.0985 2023-11-12 00:13:28,866 - mmseg - INFO - Iter [10150/160000] lr: 9.366e-05, eta: 21:41:39, time: 0.533, data_time: 0.058, memory: 41146, decode.loss_cls: 0.7569, decode.loss_mask: 0.7668, decode.loss_dice: 1.0832, decode.d0.loss_cls: 1.7328, decode.d0.loss_mask: 0.8023, decode.d0.loss_dice: 1.2399, decode.d1.loss_cls: 0.8701, decode.d1.loss_mask: 0.7898, decode.d1.loss_dice: 1.1672, decode.d2.loss_cls: 0.8011, decode.d2.loss_mask: 0.7713, decode.d2.loss_dice: 1.1163, decode.d3.loss_cls: 0.7726, decode.d3.loss_mask: 0.7718, decode.d3.loss_dice: 1.0946, decode.d4.loss_cls: 0.7669, decode.d4.loss_mask: 0.7695, decode.d4.loss_dice: 1.0971, decode.d5.loss_cls: 0.7660, decode.d5.loss_mask: 0.7642, decode.d5.loss_dice: 1.0925, decode.d6.loss_cls: 0.7585, decode.d6.loss_mask: 0.7626, decode.d6.loss_dice: 1.0864, decode.d7.loss_cls: 0.7575, decode.d7.loss_mask: 0.7681, decode.d7.loss_dice: 1.0930, decode.d8.loss_cls: 0.7563, decode.d8.loss_mask: 0.7695, decode.d8.loss_dice: 1.0908, loss: 27.6353, grad_norm: 48.2102 2023-11-12 00:13:52,873 - mmseg - INFO - Iter [10200/160000] lr: 9.363e-05, eta: 21:40:43, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.7422, decode.loss_mask: 0.7771, decode.loss_dice: 1.0991, decode.d0.loss_cls: 1.7052, decode.d0.loss_mask: 0.8195, decode.d0.loss_dice: 1.2495, decode.d1.loss_cls: 0.8566, decode.d1.loss_mask: 0.8111, decode.d1.loss_dice: 1.1811, decode.d2.loss_cls: 0.7953, decode.d2.loss_mask: 0.7895, decode.d2.loss_dice: 1.1269, decode.d3.loss_cls: 0.7715, decode.d3.loss_mask: 0.7791, decode.d3.loss_dice: 1.1078, decode.d4.loss_cls: 0.7690, decode.d4.loss_mask: 0.7769, decode.d4.loss_dice: 1.1047, decode.d5.loss_cls: 0.7599, decode.d5.loss_mask: 0.7746, decode.d5.loss_dice: 1.1045, decode.d6.loss_cls: 0.7505, decode.d6.loss_mask: 0.7747, decode.d6.loss_dice: 1.1028, decode.d7.loss_cls: 0.7516, decode.d7.loss_mask: 0.7835, decode.d7.loss_dice: 1.1069, decode.d8.loss_cls: 0.7453, decode.d8.loss_mask: 0.7805, decode.d8.loss_dice: 1.1089, loss: 27.8057, grad_norm: 51.2695 2023-11-12 00:14:17,130 - mmseg - INFO - Iter [10250/160000] lr: 9.359e-05, eta: 21:39:51, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6884, decode.loss_mask: 0.7503, decode.loss_dice: 1.0433, decode.d0.loss_cls: 1.6716, decode.d0.loss_mask: 0.7856, decode.d0.loss_dice: 1.1886, decode.d1.loss_cls: 0.8112, decode.d1.loss_mask: 0.7752, decode.d1.loss_dice: 1.1052, decode.d2.loss_cls: 0.7430, decode.d2.loss_mask: 0.7586, decode.d2.loss_dice: 1.0637, decode.d3.loss_cls: 0.7088, decode.d3.loss_mask: 0.7574, decode.d3.loss_dice: 1.0548, decode.d4.loss_cls: 0.7130, decode.d4.loss_mask: 0.7574, decode.d4.loss_dice: 1.0467, decode.d5.loss_cls: 0.7105, decode.d5.loss_mask: 0.7497, decode.d5.loss_dice: 1.0514, decode.d6.loss_cls: 0.6996, decode.d6.loss_mask: 0.7536, decode.d6.loss_dice: 1.0407, decode.d7.loss_cls: 0.7004, decode.d7.loss_mask: 0.7516, decode.d7.loss_dice: 1.0460, decode.d8.loss_cls: 0.6954, decode.d8.loss_mask: 0.7531, decode.d8.loss_dice: 1.0487, loss: 26.4237, grad_norm: 48.4069 2023-11-12 00:14:41,599 - mmseg - INFO - Iter [10300/160000] lr: 9.356e-05, eta: 21:39:02, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7642, decode.loss_mask: 0.7883, decode.loss_dice: 1.1136, decode.d0.loss_cls: 1.7324, decode.d0.loss_mask: 0.8290, decode.d0.loss_dice: 1.2735, decode.d1.loss_cls: 0.8881, decode.d1.loss_mask: 0.8160, decode.d1.loss_dice: 1.1903, decode.d2.loss_cls: 0.8059, decode.d2.loss_mask: 0.7924, decode.d2.loss_dice: 1.1441, decode.d3.loss_cls: 0.7866, decode.d3.loss_mask: 0.7865, decode.d3.loss_dice: 1.1076, decode.d4.loss_cls: 0.7766, decode.d4.loss_mask: 0.7867, decode.d4.loss_dice: 1.1171, decode.d5.loss_cls: 0.7732, decode.d5.loss_mask: 0.7868, decode.d5.loss_dice: 1.1180, decode.d6.loss_cls: 0.7708, decode.d6.loss_mask: 0.7842, decode.d6.loss_dice: 1.1067, decode.d7.loss_cls: 0.7646, decode.d7.loss_mask: 0.7847, decode.d7.loss_dice: 1.1155, decode.d8.loss_cls: 0.7622, decode.d8.loss_mask: 0.7916, decode.d8.loss_dice: 1.1182, loss: 28.1756, grad_norm: 51.3873 2023-11-12 00:15:05,964 - mmseg - INFO - Iter [10350/160000] lr: 9.353e-05, eta: 21:38:12, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7585, decode.loss_mask: 0.7596, decode.loss_dice: 1.0995, decode.d0.loss_cls: 1.7423, decode.d0.loss_mask: 0.7908, decode.d0.loss_dice: 1.2626, decode.d1.loss_cls: 0.8780, decode.d1.loss_mask: 0.7891, decode.d1.loss_dice: 1.1700, decode.d2.loss_cls: 0.8127, decode.d2.loss_mask: 0.7637, decode.d2.loss_dice: 1.1223, decode.d3.loss_cls: 0.7833, decode.d3.loss_mask: 0.7609, decode.d3.loss_dice: 1.0964, decode.d4.loss_cls: 0.7799, decode.d4.loss_mask: 0.7601, decode.d4.loss_dice: 1.1086, decode.d5.loss_cls: 0.7666, decode.d5.loss_mask: 0.7571, decode.d5.loss_dice: 1.1018, decode.d6.loss_cls: 0.7637, decode.d6.loss_mask: 0.7552, decode.d6.loss_dice: 1.0863, decode.d7.loss_cls: 0.7629, decode.d7.loss_mask: 0.7559, decode.d7.loss_dice: 1.0951, decode.d8.loss_cls: 0.7551, decode.d8.loss_mask: 0.7579, decode.d8.loss_dice: 1.0970, loss: 27.6930, grad_norm: 49.3935 2023-11-12 00:15:30,235 - mmseg - INFO - Iter [10400/160000] lr: 9.350e-05, eta: 21:37:20, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7682, decode.loss_mask: 0.7556, decode.loss_dice: 1.0884, decode.d0.loss_cls: 1.7371, decode.d0.loss_mask: 0.7908, decode.d0.loss_dice: 1.2505, decode.d1.loss_cls: 0.8866, decode.d1.loss_mask: 0.7757, decode.d1.loss_dice: 1.1682, decode.d2.loss_cls: 0.8235, decode.d2.loss_mask: 0.7611, decode.d2.loss_dice: 1.1226, decode.d3.loss_cls: 0.7902, decode.d3.loss_mask: 0.7478, decode.d3.loss_dice: 1.1023, decode.d4.loss_cls: 0.7849, decode.d4.loss_mask: 0.7504, decode.d4.loss_dice: 1.0926, decode.d5.loss_cls: 0.7812, decode.d5.loss_mask: 0.7532, decode.d5.loss_dice: 1.0969, decode.d6.loss_cls: 0.7755, decode.d6.loss_mask: 0.7506, decode.d6.loss_dice: 1.0892, decode.d7.loss_cls: 0.7738, decode.d7.loss_mask: 0.7496, decode.d7.loss_dice: 1.0891, decode.d8.loss_cls: 0.7737, decode.d8.loss_mask: 0.7603, decode.d8.loss_dice: 1.0967, loss: 27.6862, grad_norm: 50.2171 2023-11-12 00:15:54,406 - mmseg - INFO - Iter [10450/160000] lr: 9.347e-05, eta: 21:36:28, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.7704, decode.loss_mask: 0.7367, decode.loss_dice: 1.0791, decode.d0.loss_cls: 1.7268, decode.d0.loss_mask: 0.7722, decode.d0.loss_dice: 1.2375, decode.d1.loss_cls: 0.8792, decode.d1.loss_mask: 0.7667, decode.d1.loss_dice: 1.1677, decode.d2.loss_cls: 0.8095, decode.d2.loss_mask: 0.7522, decode.d2.loss_dice: 1.1145, decode.d3.loss_cls: 0.7934, decode.d3.loss_mask: 0.7414, decode.d3.loss_dice: 1.0904, decode.d4.loss_cls: 0.7835, decode.d4.loss_mask: 0.7416, decode.d4.loss_dice: 1.0925, decode.d5.loss_cls: 0.7762, decode.d5.loss_mask: 0.7442, decode.d5.loss_dice: 1.0846, decode.d6.loss_cls: 0.7722, decode.d6.loss_mask: 0.7416, decode.d6.loss_dice: 1.0752, decode.d7.loss_cls: 0.7707, decode.d7.loss_mask: 0.7340, decode.d7.loss_dice: 1.0811, decode.d8.loss_cls: 0.7695, decode.d8.loss_mask: 0.7385, decode.d8.loss_dice: 1.0850, loss: 27.4281, grad_norm: 47.9656 2023-11-12 00:16:18,752 - mmseg - INFO - Iter [10500/160000] lr: 9.344e-05, eta: 21:35:38, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7598, decode.loss_mask: 0.7608, decode.loss_dice: 1.0769, decode.d0.loss_cls: 1.7213, decode.d0.loss_mask: 0.8037, decode.d0.loss_dice: 1.2464, decode.d1.loss_cls: 0.8624, decode.d1.loss_mask: 0.7907, decode.d1.loss_dice: 1.1700, decode.d2.loss_cls: 0.7938, decode.d2.loss_mask: 0.7738, decode.d2.loss_dice: 1.1249, decode.d3.loss_cls: 0.7728, decode.d3.loss_mask: 0.7654, decode.d3.loss_dice: 1.1036, decode.d4.loss_cls: 0.7616, decode.d4.loss_mask: 0.7684, decode.d4.loss_dice: 1.0961, decode.d5.loss_cls: 0.7648, decode.d5.loss_mask: 0.7626, decode.d5.loss_dice: 1.0935, decode.d6.loss_cls: 0.7575, decode.d6.loss_mask: 0.7685, decode.d6.loss_dice: 1.0862, decode.d7.loss_cls: 0.7575, decode.d7.loss_mask: 0.7664, decode.d7.loss_dice: 1.0903, decode.d8.loss_cls: 0.7559, decode.d8.loss_mask: 0.7621, decode.d8.loss_dice: 1.0885, loss: 27.6063, grad_norm: 51.3736 2023-11-12 00:16:42,831 - mmseg - INFO - Iter [10550/160000] lr: 9.341e-05, eta: 21:34:45, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7436, decode.loss_mask: 0.7522, decode.loss_dice: 1.0676, decode.d0.loss_cls: 1.6939, decode.d0.loss_mask: 0.8000, decode.d0.loss_dice: 1.2481, decode.d1.loss_cls: 0.8602, decode.d1.loss_mask: 0.7898, decode.d1.loss_dice: 1.1470, decode.d2.loss_cls: 0.7896, decode.d2.loss_mask: 0.7649, decode.d2.loss_dice: 1.1199, decode.d3.loss_cls: 0.7739, decode.d3.loss_mask: 0.7594, decode.d3.loss_dice: 1.0885, decode.d4.loss_cls: 0.7618, decode.d4.loss_mask: 0.7587, decode.d4.loss_dice: 1.0820, decode.d5.loss_cls: 0.7568, decode.d5.loss_mask: 0.7656, decode.d5.loss_dice: 1.0856, decode.d6.loss_cls: 0.7466, decode.d6.loss_mask: 0.7620, decode.d6.loss_dice: 1.0705, decode.d7.loss_cls: 0.7460, decode.d7.loss_mask: 0.7555, decode.d7.loss_dice: 1.0803, decode.d8.loss_cls: 0.7452, decode.d8.loss_mask: 0.7557, decode.d8.loss_dice: 1.0795, loss: 27.3506, grad_norm: 49.6341 2023-11-12 00:17:06,938 - mmseg - INFO - Iter [10600/160000] lr: 9.338e-05, eta: 21:33:53, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7679, decode.loss_mask: 0.7474, decode.loss_dice: 1.1008, decode.d0.loss_cls: 1.7318, decode.d0.loss_mask: 0.7765, decode.d0.loss_dice: 1.2695, decode.d1.loss_cls: 0.8741, decode.d1.loss_mask: 0.7744, decode.d1.loss_dice: 1.1737, decode.d2.loss_cls: 0.8094, decode.d2.loss_mask: 0.7528, decode.d2.loss_dice: 1.1332, decode.d3.loss_cls: 0.7960, decode.d3.loss_mask: 0.7426, decode.d3.loss_dice: 1.1049, decode.d4.loss_cls: 0.7826, decode.d4.loss_mask: 0.7429, decode.d4.loss_dice: 1.1108, decode.d5.loss_cls: 0.7854, decode.d5.loss_mask: 0.7398, decode.d5.loss_dice: 1.1064, decode.d6.loss_cls: 0.7752, decode.d6.loss_mask: 0.7429, decode.d6.loss_dice: 1.0991, decode.d7.loss_cls: 0.7668, decode.d7.loss_mask: 0.7488, decode.d7.loss_dice: 1.1007, decode.d8.loss_cls: 0.7704, decode.d8.loss_mask: 0.7497, decode.d8.loss_dice: 1.1107, loss: 27.6871, grad_norm: 48.5381 2023-11-12 00:17:31,074 - mmseg - INFO - Iter [10650/160000] lr: 9.334e-05, eta: 21:33:01, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7330, decode.loss_mask: 0.7559, decode.loss_dice: 1.0803, decode.d0.loss_cls: 1.6826, decode.d0.loss_mask: 0.7931, decode.d0.loss_dice: 1.2357, decode.d1.loss_cls: 0.8436, decode.d1.loss_mask: 0.7892, decode.d1.loss_dice: 1.1690, decode.d2.loss_cls: 0.7685, decode.d2.loss_mask: 0.7694, decode.d2.loss_dice: 1.1151, decode.d3.loss_cls: 0.7523, decode.d3.loss_mask: 0.7646, decode.d3.loss_dice: 1.0965, decode.d4.loss_cls: 0.7431, decode.d4.loss_mask: 0.7655, decode.d4.loss_dice: 1.0924, decode.d5.loss_cls: 0.7426, decode.d5.loss_mask: 0.7621, decode.d5.loss_dice: 1.0878, decode.d6.loss_cls: 0.7397, decode.d6.loss_mask: 0.7594, decode.d6.loss_dice: 1.0838, decode.d7.loss_cls: 0.7368, decode.d7.loss_mask: 0.7574, decode.d7.loss_dice: 1.0820, decode.d8.loss_cls: 0.7329, decode.d8.loss_mask: 0.7547, decode.d8.loss_dice: 1.0811, loss: 27.2703, grad_norm: 47.4558 2023-11-12 00:17:55,130 - mmseg - INFO - Iter [10700/160000] lr: 9.331e-05, eta: 21:32:08, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7838, decode.loss_mask: 0.7784, decode.loss_dice: 1.1286, decode.d0.loss_cls: 1.7552, decode.d0.loss_mask: 0.8187, decode.d0.loss_dice: 1.2836, decode.d1.loss_cls: 0.9091, decode.d1.loss_mask: 0.8112, decode.d1.loss_dice: 1.2087, decode.d2.loss_cls: 0.8415, decode.d2.loss_mask: 0.7941, decode.d2.loss_dice: 1.1576, decode.d3.loss_cls: 0.8103, decode.d3.loss_mask: 0.7806, decode.d3.loss_dice: 1.1382, decode.d4.loss_cls: 0.8078, decode.d4.loss_mask: 0.7826, decode.d4.loss_dice: 1.1459, decode.d5.loss_cls: 0.7998, decode.d5.loss_mask: 0.7832, decode.d5.loss_dice: 1.1348, decode.d6.loss_cls: 0.7907, decode.d6.loss_mask: 0.7797, decode.d6.loss_dice: 1.1260, decode.d7.loss_cls: 0.7855, decode.d7.loss_mask: 0.7827, decode.d7.loss_dice: 1.1313, decode.d8.loss_cls: 0.7808, decode.d8.loss_mask: 0.7815, decode.d8.loss_dice: 1.1374, loss: 28.5492, grad_norm: 51.2938 2023-11-12 00:18:19,370 - mmseg - INFO - Iter [10750/160000] lr: 9.328e-05, eta: 21:31:18, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.7276, decode.loss_mask: 0.7456, decode.loss_dice: 1.0797, decode.d0.loss_cls: 1.7093, decode.d0.loss_mask: 0.7849, decode.d0.loss_dice: 1.2296, decode.d1.loss_cls: 0.8581, decode.d1.loss_mask: 0.7674, decode.d1.loss_dice: 1.1607, decode.d2.loss_cls: 0.7753, decode.d2.loss_mask: 0.7537, decode.d2.loss_dice: 1.1191, decode.d3.loss_cls: 0.7519, decode.d3.loss_mask: 0.7487, decode.d3.loss_dice: 1.0852, decode.d4.loss_cls: 0.7492, decode.d4.loss_mask: 0.7477, decode.d4.loss_dice: 1.0813, decode.d5.loss_cls: 0.7460, decode.d5.loss_mask: 0.7490, decode.d5.loss_dice: 1.0789, decode.d6.loss_cls: 0.7302, decode.d6.loss_mask: 0.7481, decode.d6.loss_dice: 1.0796, decode.d7.loss_cls: 0.7306, decode.d7.loss_mask: 0.7447, decode.d7.loss_dice: 1.0804, decode.d8.loss_cls: 0.7307, decode.d8.loss_mask: 0.7492, decode.d8.loss_dice: 1.0788, loss: 27.1214, grad_norm: 49.9296 2023-11-12 00:18:43,825 - mmseg - INFO - Iter [10800/160000] lr: 9.325e-05, eta: 21:30:31, time: 0.489, data_time: 0.014, memory: 41146, decode.loss_cls: 0.7490, decode.loss_mask: 0.7285, decode.loss_dice: 1.0611, decode.d0.loss_cls: 1.7194, decode.d0.loss_mask: 0.7753, decode.d0.loss_dice: 1.2243, decode.d1.loss_cls: 0.8588, decode.d1.loss_mask: 0.7582, decode.d1.loss_dice: 1.1407, decode.d2.loss_cls: 0.7938, decode.d2.loss_mask: 0.7446, decode.d2.loss_dice: 1.0982, decode.d3.loss_cls: 0.7691, decode.d3.loss_mask: 0.7364, decode.d3.loss_dice: 1.0749, decode.d4.loss_cls: 0.7580, decode.d4.loss_mask: 0.7368, decode.d4.loss_dice: 1.0711, decode.d5.loss_cls: 0.7551, decode.d5.loss_mask: 0.7309, decode.d5.loss_dice: 1.0687, decode.d6.loss_cls: 0.7430, decode.d6.loss_mask: 0.7296, decode.d6.loss_dice: 1.0614, decode.d7.loss_cls: 0.7382, decode.d7.loss_mask: 0.7368, decode.d7.loss_dice: 1.0687, decode.d8.loss_cls: 0.7490, decode.d8.loss_mask: 0.7313, decode.d8.loss_dice: 1.0625, loss: 26.9734, grad_norm: 47.9630 2023-11-12 00:19:08,049 - mmseg - INFO - Iter [10850/160000] lr: 9.322e-05, eta: 21:29:42, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 0.7692, decode.loss_mask: 0.7410, decode.loss_dice: 1.1061, decode.d0.loss_cls: 1.7546, decode.d0.loss_mask: 0.7824, decode.d0.loss_dice: 1.2662, decode.d1.loss_cls: 0.8823, decode.d1.loss_mask: 0.7710, decode.d1.loss_dice: 1.1781, decode.d2.loss_cls: 0.8126, decode.d2.loss_mask: 0.7546, decode.d2.loss_dice: 1.1322, decode.d3.loss_cls: 0.7840, decode.d3.loss_mask: 0.7492, decode.d3.loss_dice: 1.1099, decode.d4.loss_cls: 0.7771, decode.d4.loss_mask: 0.7484, decode.d4.loss_dice: 1.1170, decode.d5.loss_cls: 0.7702, decode.d5.loss_mask: 0.7492, decode.d5.loss_dice: 1.1119, decode.d6.loss_cls: 0.7641, decode.d6.loss_mask: 0.7441, decode.d6.loss_dice: 1.1084, decode.d7.loss_cls: 0.7613, decode.d7.loss_mask: 0.7500, decode.d7.loss_dice: 1.1085, decode.d8.loss_cls: 0.7632, decode.d8.loss_mask: 0.7464, decode.d8.loss_dice: 1.1138, loss: 27.7270, grad_norm: 47.9487 2023-11-12 00:19:32,129 - mmseg - INFO - Iter [10900/160000] lr: 9.319e-05, eta: 21:28:50, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7580, decode.loss_mask: 0.7843, decode.loss_dice: 1.1037, decode.d0.loss_cls: 1.7277, decode.d0.loss_mask: 0.8184, decode.d0.loss_dice: 1.2683, decode.d1.loss_cls: 0.8827, decode.d1.loss_mask: 0.8100, decode.d1.loss_dice: 1.1871, decode.d2.loss_cls: 0.8009, decode.d2.loss_mask: 0.7965, decode.d2.loss_dice: 1.1455, decode.d3.loss_cls: 0.7820, decode.d3.loss_mask: 0.7842, decode.d3.loss_dice: 1.1152, decode.d4.loss_cls: 0.7754, decode.d4.loss_mask: 0.7816, decode.d4.loss_dice: 1.1139, decode.d5.loss_cls: 0.7745, decode.d5.loss_mask: 0.7836, decode.d5.loss_dice: 1.1085, decode.d6.loss_cls: 0.7612, decode.d6.loss_mask: 0.7848, decode.d6.loss_dice: 1.1039, decode.d7.loss_cls: 0.7610, decode.d7.loss_mask: 0.7819, decode.d7.loss_dice: 1.1102, decode.d8.loss_cls: 0.7561, decode.d8.loss_mask: 0.7821, decode.d8.loss_dice: 1.1107, loss: 28.0539, grad_norm: 52.1207 2023-11-12 00:19:56,361 - mmseg - INFO - Iter [10950/160000] lr: 9.316e-05, eta: 21:28:01, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7220, decode.loss_mask: 0.7468, decode.loss_dice: 1.0542, decode.d0.loss_cls: 1.6415, decode.d0.loss_mask: 0.7749, decode.d0.loss_dice: 1.1845, decode.d1.loss_cls: 0.8211, decode.d1.loss_mask: 0.7721, decode.d1.loss_dice: 1.1108, decode.d2.loss_cls: 0.7565, decode.d2.loss_mask: 0.7499, decode.d2.loss_dice: 1.0803, decode.d3.loss_cls: 0.7387, decode.d3.loss_mask: 0.7501, decode.d3.loss_dice: 1.0561, decode.d4.loss_cls: 0.7408, decode.d4.loss_mask: 0.7456, decode.d4.loss_dice: 1.0560, decode.d5.loss_cls: 0.7385, decode.d5.loss_mask: 0.7451, decode.d5.loss_dice: 1.0569, decode.d6.loss_cls: 0.7242, decode.d6.loss_mask: 0.7472, decode.d6.loss_dice: 1.0539, decode.d7.loss_cls: 0.7260, decode.d7.loss_mask: 0.7485, decode.d7.loss_dice: 1.0503, decode.d8.loss_cls: 0.7257, decode.d8.loss_mask: 0.7461, decode.d8.loss_dice: 1.0559, loss: 26.6205, grad_norm: 48.6054 2023-11-12 00:20:20,485 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 00:20:20,485 - mmseg - INFO - Iter [11000/160000] lr: 9.313e-05, eta: 21:27:11, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7358, decode.loss_mask: 0.7706, decode.loss_dice: 1.1432, decode.d0.loss_cls: 1.6803, decode.d0.loss_mask: 0.7973, decode.d0.loss_dice: 1.2963, decode.d1.loss_cls: 0.8548, decode.d1.loss_mask: 0.7902, decode.d1.loss_dice: 1.2195, decode.d2.loss_cls: 0.7822, decode.d2.loss_mask: 0.7760, decode.d2.loss_dice: 1.1715, decode.d3.loss_cls: 0.7693, decode.d3.loss_mask: 0.7669, decode.d3.loss_dice: 1.1450, decode.d4.loss_cls: 0.7553, decode.d4.loss_mask: 0.7711, decode.d4.loss_dice: 1.1455, decode.d5.loss_cls: 0.7534, decode.d5.loss_mask: 0.7691, decode.d5.loss_dice: 1.1493, decode.d6.loss_cls: 0.7477, decode.d6.loss_mask: 0.7700, decode.d6.loss_dice: 1.1376, decode.d7.loss_cls: 0.7409, decode.d7.loss_mask: 0.7685, decode.d7.loss_dice: 1.1454, decode.d8.loss_cls: 0.7364, decode.d8.loss_mask: 0.7726, decode.d8.loss_dice: 1.1457, loss: 28.0074, grad_norm: 51.4649 2023-11-12 00:20:44,532 - mmseg - INFO - Iter [11050/160000] lr: 9.309e-05, eta: 21:26:20, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7463, decode.loss_mask: 0.7845, decode.loss_dice: 1.0909, decode.d0.loss_cls: 1.6709, decode.d0.loss_mask: 0.8272, decode.d0.loss_dice: 1.2577, decode.d1.loss_cls: 0.8635, decode.d1.loss_mask: 0.8130, decode.d1.loss_dice: 1.1777, decode.d2.loss_cls: 0.7912, decode.d2.loss_mask: 0.7938, decode.d2.loss_dice: 1.1211, decode.d3.loss_cls: 0.7690, decode.d3.loss_mask: 0.7857, decode.d3.loss_dice: 1.0994, decode.d4.loss_cls: 0.7592, decode.d4.loss_mask: 0.7864, decode.d4.loss_dice: 1.1003, decode.d5.loss_cls: 0.7536, decode.d5.loss_mask: 0.7864, decode.d5.loss_dice: 1.1004, decode.d6.loss_cls: 0.7411, decode.d6.loss_mask: 0.7835, decode.d6.loss_dice: 1.0989, decode.d7.loss_cls: 0.7479, decode.d7.loss_mask: 0.7803, decode.d7.loss_dice: 1.0942, decode.d8.loss_cls: 0.7383, decode.d8.loss_mask: 0.7873, decode.d8.loss_dice: 1.0984, loss: 27.7479, grad_norm: 49.3556 2023-11-12 00:21:08,798 - mmseg - INFO - Iter [11100/160000] lr: 9.306e-05, eta: 21:25:32, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7476, decode.loss_mask: 0.7374, decode.loss_dice: 1.0718, decode.d0.loss_cls: 1.7384, decode.d0.loss_mask: 0.7676, decode.d0.loss_dice: 1.2286, decode.d1.loss_cls: 0.8765, decode.d1.loss_mask: 0.7573, decode.d1.loss_dice: 1.1556, decode.d2.loss_cls: 0.8046, decode.d2.loss_mask: 0.7421, decode.d2.loss_dice: 1.0917, decode.d3.loss_cls: 0.7769, decode.d3.loss_mask: 0.7275, decode.d3.loss_dice: 1.0720, decode.d4.loss_cls: 0.7681, decode.d4.loss_mask: 0.7311, decode.d4.loss_dice: 1.0757, decode.d5.loss_cls: 0.7661, decode.d5.loss_mask: 0.7323, decode.d5.loss_dice: 1.0672, decode.d6.loss_cls: 0.7553, decode.d6.loss_mask: 0.7336, decode.d6.loss_dice: 1.0563, decode.d7.loss_cls: 0.7494, decode.d7.loss_mask: 0.7325, decode.d7.loss_dice: 1.0636, decode.d8.loss_cls: 0.7480, decode.d8.loss_mask: 0.7364, decode.d8.loss_dice: 1.0686, loss: 27.0796, grad_norm: 48.1811 2023-11-12 00:21:33,142 - mmseg - INFO - Iter [11150/160000] lr: 9.303e-05, eta: 21:24:45, time: 0.487, data_time: 0.014, memory: 41146, decode.loss_cls: 0.7442, decode.loss_mask: 0.7667, decode.loss_dice: 1.1266, decode.d0.loss_cls: 1.6882, decode.d0.loss_mask: 0.8077, decode.d0.loss_dice: 1.2825, decode.d1.loss_cls: 0.8666, decode.d1.loss_mask: 0.7925, decode.d1.loss_dice: 1.2010, decode.d2.loss_cls: 0.7812, decode.d2.loss_mask: 0.7851, decode.d2.loss_dice: 1.1655, decode.d3.loss_cls: 0.7718, decode.d3.loss_mask: 0.7721, decode.d3.loss_dice: 1.1355, decode.d4.loss_cls: 0.7567, decode.d4.loss_mask: 0.7713, decode.d4.loss_dice: 1.1352, decode.d5.loss_cls: 0.7595, decode.d5.loss_mask: 0.7699, decode.d5.loss_dice: 1.1305, decode.d6.loss_cls: 0.7462, decode.d6.loss_mask: 0.7685, decode.d6.loss_dice: 1.1320, decode.d7.loss_cls: 0.7381, decode.d7.loss_mask: 0.7650, decode.d7.loss_dice: 1.1265, decode.d8.loss_cls: 0.7390, decode.d8.loss_mask: 0.7674, decode.d8.loss_dice: 1.1266, loss: 27.9194, grad_norm: 51.5333 2023-11-12 00:21:57,559 - mmseg - INFO - Iter [11200/160000] lr: 9.300e-05, eta: 21:24:00, time: 0.488, data_time: 0.012, memory: 41146, decode.loss_cls: 0.7720, decode.loss_mask: 0.7548, decode.loss_dice: 1.1181, decode.d0.loss_cls: 1.7101, decode.d0.loss_mask: 0.7892, decode.d0.loss_dice: 1.2576, decode.d1.loss_cls: 0.8791, decode.d1.loss_mask: 0.7727, decode.d1.loss_dice: 1.1806, decode.d2.loss_cls: 0.8055, decode.d2.loss_mask: 0.7626, decode.d2.loss_dice: 1.1299, decode.d3.loss_cls: 0.7841, decode.d3.loss_mask: 0.7511, decode.d3.loss_dice: 1.1126, decode.d4.loss_cls: 0.7799, decode.d4.loss_mask: 0.7551, decode.d4.loss_dice: 1.1136, decode.d5.loss_cls: 0.7704, decode.d5.loss_mask: 0.7503, decode.d5.loss_dice: 1.1140, decode.d6.loss_cls: 0.7643, decode.d6.loss_mask: 0.7480, decode.d6.loss_dice: 1.1014, decode.d7.loss_cls: 0.7669, decode.d7.loss_mask: 0.7522, decode.d7.loss_dice: 1.0989, decode.d8.loss_cls: 0.7645, decode.d8.loss_mask: 0.7507, decode.d8.loss_dice: 1.1115, loss: 27.7217, grad_norm: 50.6557 2023-11-12 00:22:21,636 - mmseg - INFO - Iter [11250/160000] lr: 9.297e-05, eta: 21:23:10, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7587, decode.loss_mask: 0.7825, decode.loss_dice: 1.0848, decode.d0.loss_cls: 1.7206, decode.d0.loss_mask: 0.8005, decode.d0.loss_dice: 1.2142, decode.d1.loss_cls: 0.8704, decode.d1.loss_mask: 0.8014, decode.d1.loss_dice: 1.1519, decode.d2.loss_cls: 0.7966, decode.d2.loss_mask: 0.7853, decode.d2.loss_dice: 1.1089, decode.d3.loss_cls: 0.7685, decode.d3.loss_mask: 0.7770, decode.d3.loss_dice: 1.0854, decode.d4.loss_cls: 0.7666, decode.d4.loss_mask: 0.7766, decode.d4.loss_dice: 1.0937, decode.d5.loss_cls: 0.7676, decode.d5.loss_mask: 0.7795, decode.d5.loss_dice: 1.0926, decode.d6.loss_cls: 0.7535, decode.d6.loss_mask: 0.7786, decode.d6.loss_dice: 1.0812, decode.d7.loss_cls: 0.7503, decode.d7.loss_mask: 0.7806, decode.d7.loss_dice: 1.0829, decode.d8.loss_cls: 0.7552, decode.d8.loss_mask: 0.7795, decode.d8.loss_dice: 1.0857, loss: 27.6307, grad_norm: 48.4403 2023-11-12 00:22:45,777 - mmseg - INFO - Iter [11300/160000] lr: 9.294e-05, eta: 21:22:21, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7467, decode.loss_mask: 0.7303, decode.loss_dice: 1.0582, decode.d0.loss_cls: 1.7156, decode.d0.loss_mask: 0.7597, decode.d0.loss_dice: 1.2113, decode.d1.loss_cls: 0.8606, decode.d1.loss_mask: 0.7522, decode.d1.loss_dice: 1.1350, decode.d2.loss_cls: 0.7957, decode.d2.loss_mask: 0.7321, decode.d2.loss_dice: 1.0897, decode.d3.loss_cls: 0.7679, decode.d3.loss_mask: 0.7218, decode.d3.loss_dice: 1.0670, decode.d4.loss_cls: 0.7570, decode.d4.loss_mask: 0.7270, decode.d4.loss_dice: 1.0679, decode.d5.loss_cls: 0.7564, decode.d5.loss_mask: 0.7224, decode.d5.loss_dice: 1.0648, decode.d6.loss_cls: 0.7483, decode.d6.loss_mask: 0.7263, decode.d6.loss_dice: 1.0660, decode.d7.loss_cls: 0.7473, decode.d7.loss_mask: 0.7284, decode.d7.loss_dice: 1.0623, decode.d8.loss_cls: 0.7439, decode.d8.loss_mask: 0.7336, decode.d8.loss_dice: 1.0647, loss: 26.8601, grad_norm: 48.2679 2023-11-12 00:23:10,002 - mmseg - INFO - Iter [11350/160000] lr: 9.291e-05, eta: 21:21:34, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7546, decode.loss_mask: 0.7285, decode.loss_dice: 1.0544, decode.d0.loss_cls: 1.6868, decode.d0.loss_mask: 0.7742, decode.d0.loss_dice: 1.2221, decode.d1.loss_cls: 0.8546, decode.d1.loss_mask: 0.7638, decode.d1.loss_dice: 1.1430, decode.d2.loss_cls: 0.7856, decode.d2.loss_mask: 0.7429, decode.d2.loss_dice: 1.0904, decode.d3.loss_cls: 0.7655, decode.d3.loss_mask: 0.7353, decode.d3.loss_dice: 1.0676, decode.d4.loss_cls: 0.7652, decode.d4.loss_mask: 0.7345, decode.d4.loss_dice: 1.0729, decode.d5.loss_cls: 0.7593, decode.d5.loss_mask: 0.7351, decode.d5.loss_dice: 1.0676, decode.d6.loss_cls: 0.7581, decode.d6.loss_mask: 0.7270, decode.d6.loss_dice: 1.0537, decode.d7.loss_cls: 0.7532, decode.d7.loss_mask: 0.7260, decode.d7.loss_dice: 1.0578, decode.d8.loss_cls: 0.7476, decode.d8.loss_mask: 0.7266, decode.d8.loss_dice: 1.0631, loss: 26.9172, grad_norm: 48.9332 2023-11-12 00:23:36,650 - mmseg - INFO - Iter [11400/160000] lr: 9.288e-05, eta: 21:21:18, time: 0.533, data_time: 0.060, memory: 41146, decode.loss_cls: 0.7540, decode.loss_mask: 0.7614, decode.loss_dice: 1.0974, decode.d0.loss_cls: 1.7101, decode.d0.loss_mask: 0.8042, decode.d0.loss_dice: 1.2491, decode.d1.loss_cls: 0.8427, decode.d1.loss_mask: 0.7992, decode.d1.loss_dice: 1.1753, decode.d2.loss_cls: 0.7853, decode.d2.loss_mask: 0.7773, decode.d2.loss_dice: 1.1330, decode.d3.loss_cls: 0.7646, decode.d3.loss_mask: 0.7696, decode.d3.loss_dice: 1.0979, decode.d4.loss_cls: 0.7551, decode.d4.loss_mask: 0.7708, decode.d4.loss_dice: 1.1031, decode.d5.loss_cls: 0.7503, decode.d5.loss_mask: 0.7693, decode.d5.loss_dice: 1.1101, decode.d6.loss_cls: 0.7533, decode.d6.loss_mask: 0.7689, decode.d6.loss_dice: 1.0924, decode.d7.loss_cls: 0.7538, decode.d7.loss_mask: 0.7625, decode.d7.loss_dice: 1.0983, decode.d8.loss_cls: 0.7493, decode.d8.loss_mask: 0.7632, decode.d8.loss_dice: 1.1010, loss: 27.6223, grad_norm: 48.3734 2023-11-12 00:24:00,704 - mmseg - INFO - Iter [11450/160000] lr: 9.284e-05, eta: 21:20:28, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6860, decode.loss_mask: 0.7551, decode.loss_dice: 1.0506, decode.d0.loss_cls: 1.6575, decode.d0.loss_mask: 0.7897, decode.d0.loss_dice: 1.2073, decode.d1.loss_cls: 0.8089, decode.d1.loss_mask: 0.7770, decode.d1.loss_dice: 1.1345, decode.d2.loss_cls: 0.7382, decode.d2.loss_mask: 0.7631, decode.d2.loss_dice: 1.0831, decode.d3.loss_cls: 0.7151, decode.d3.loss_mask: 0.7512, decode.d3.loss_dice: 1.0604, decode.d4.loss_cls: 0.7027, decode.d4.loss_mask: 0.7542, decode.d4.loss_dice: 1.0636, decode.d5.loss_cls: 0.7039, decode.d5.loss_mask: 0.7523, decode.d5.loss_dice: 1.0635, decode.d6.loss_cls: 0.6928, decode.d6.loss_mask: 0.7534, decode.d6.loss_dice: 1.0541, decode.d7.loss_cls: 0.6950, decode.d7.loss_mask: 0.7580, decode.d7.loss_dice: 1.0501, decode.d8.loss_cls: 0.6833, decode.d8.loss_mask: 0.7582, decode.d8.loss_dice: 1.0515, loss: 26.5144, grad_norm: 50.0129 2023-11-12 00:24:24,750 - mmseg - INFO - Iter [11500/160000] lr: 9.281e-05, eta: 21:19:39, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7180, decode.loss_mask: 0.7253, decode.loss_dice: 1.0496, decode.d0.loss_cls: 1.6711, decode.d0.loss_mask: 0.7723, decode.d0.loss_dice: 1.2189, decode.d1.loss_cls: 0.8365, decode.d1.loss_mask: 0.7554, decode.d1.loss_dice: 1.1364, decode.d2.loss_cls: 0.7617, decode.d2.loss_mask: 0.7412, decode.d2.loss_dice: 1.0840, decode.d3.loss_cls: 0.7485, decode.d3.loss_mask: 0.7273, decode.d3.loss_dice: 1.0553, decode.d4.loss_cls: 0.7350, decode.d4.loss_mask: 0.7282, decode.d4.loss_dice: 1.0475, decode.d5.loss_cls: 0.7315, decode.d5.loss_mask: 0.7294, decode.d5.loss_dice: 1.0504, decode.d6.loss_cls: 0.7302, decode.d6.loss_mask: 0.7302, decode.d6.loss_dice: 1.0418, decode.d7.loss_cls: 0.7157, decode.d7.loss_mask: 0.7324, decode.d7.loss_dice: 1.0466, decode.d8.loss_cls: 0.7194, decode.d8.loss_mask: 0.7298, decode.d8.loss_dice: 1.0430, loss: 26.5126, grad_norm: 47.7255 2023-11-12 00:24:48,870 - mmseg - INFO - Iter [11550/160000] lr: 9.278e-05, eta: 21:18:51, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7431, decode.loss_mask: 0.7418, decode.loss_dice: 1.0813, decode.d0.loss_cls: 1.6926, decode.d0.loss_mask: 0.7748, decode.d0.loss_dice: 1.2325, decode.d1.loss_cls: 0.8557, decode.d1.loss_mask: 0.7732, decode.d1.loss_dice: 1.1446, decode.d2.loss_cls: 0.7959, decode.d2.loss_mask: 0.7457, decode.d2.loss_dice: 1.1110, decode.d3.loss_cls: 0.7700, decode.d3.loss_mask: 0.7417, decode.d3.loss_dice: 1.0831, decode.d4.loss_cls: 0.7565, decode.d4.loss_mask: 0.7479, decode.d4.loss_dice: 1.0915, decode.d5.loss_cls: 0.7588, decode.d5.loss_mask: 0.7475, decode.d5.loss_dice: 1.0839, decode.d6.loss_cls: 0.7462, decode.d6.loss_mask: 0.7487, decode.d6.loss_dice: 1.0848, decode.d7.loss_cls: 0.7419, decode.d7.loss_mask: 0.7466, decode.d7.loss_dice: 1.0807, decode.d8.loss_cls: 0.7412, decode.d8.loss_mask: 0.7448, decode.d8.loss_dice: 1.0847, loss: 27.1929, grad_norm: 49.4938 2023-11-12 00:25:13,695 - mmseg - INFO - Iter [11600/160000] lr: 9.275e-05, eta: 21:18:12, time: 0.496, data_time: 0.012, memory: 41146, decode.loss_cls: 0.7264, decode.loss_mask: 0.7547, decode.loss_dice: 1.0829, decode.d0.loss_cls: 1.7238, decode.d0.loss_mask: 0.7954, decode.d0.loss_dice: 1.2315, decode.d1.loss_cls: 0.8377, decode.d1.loss_mask: 0.7818, decode.d1.loss_dice: 1.1645, decode.d2.loss_cls: 0.7729, decode.d2.loss_mask: 0.7656, decode.d2.loss_dice: 1.1067, decode.d3.loss_cls: 0.7586, decode.d3.loss_mask: 0.7550, decode.d3.loss_dice: 1.0885, decode.d4.loss_cls: 0.7409, decode.d4.loss_mask: 0.7557, decode.d4.loss_dice: 1.0762, decode.d5.loss_cls: 0.7409, decode.d5.loss_mask: 0.7536, decode.d5.loss_dice: 1.0862, decode.d6.loss_cls: 0.7317, decode.d6.loss_mask: 0.7576, decode.d6.loss_dice: 1.0839, decode.d7.loss_cls: 0.7304, decode.d7.loss_mask: 0.7568, decode.d7.loss_dice: 1.0823, decode.d8.loss_cls: 0.7229, decode.d8.loss_mask: 0.7586, decode.d8.loss_dice: 1.0821, loss: 27.2060, grad_norm: 50.3870 2023-11-12 00:25:37,970 - mmseg - INFO - Iter [11650/160000] lr: 9.272e-05, eta: 21:17:26, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.7499, decode.loss_mask: 0.7382, decode.loss_dice: 1.0924, decode.d0.loss_cls: 1.7226, decode.d0.loss_mask: 0.7684, decode.d0.loss_dice: 1.2443, decode.d1.loss_cls: 0.8680, decode.d1.loss_mask: 0.7608, decode.d1.loss_dice: 1.1683, decode.d2.loss_cls: 0.7885, decode.d2.loss_mask: 0.7488, decode.d2.loss_dice: 1.1260, decode.d3.loss_cls: 0.7703, decode.d3.loss_mask: 0.7383, decode.d3.loss_dice: 1.0966, decode.d4.loss_cls: 0.7650, decode.d4.loss_mask: 0.7409, decode.d4.loss_dice: 1.0944, decode.d5.loss_cls: 0.7592, decode.d5.loss_mask: 0.7355, decode.d5.loss_dice: 1.0887, decode.d6.loss_cls: 0.7534, decode.d6.loss_mask: 0.7367, decode.d6.loss_dice: 1.0895, decode.d7.loss_cls: 0.7435, decode.d7.loss_mask: 0.7407, decode.d7.loss_dice: 1.0918, decode.d8.loss_cls: 0.7491, decode.d8.loss_mask: 0.7400, decode.d8.loss_dice: 1.0908, loss: 27.3007, grad_norm: 50.2985 2023-11-12 00:26:02,303 - mmseg - INFO - Iter [11700/160000] lr: 9.269e-05, eta: 21:16:42, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7395, decode.loss_mask: 0.7381, decode.loss_dice: 1.0985, decode.d0.loss_cls: 1.7168, decode.d0.loss_mask: 0.7660, decode.d0.loss_dice: 1.2511, decode.d1.loss_cls: 0.8879, decode.d1.loss_mask: 0.7614, decode.d1.loss_dice: 1.1732, decode.d2.loss_cls: 0.8010, decode.d2.loss_mask: 0.7439, decode.d2.loss_dice: 1.1311, decode.d3.loss_cls: 0.7768, decode.d3.loss_mask: 0.7367, decode.d3.loss_dice: 1.1025, decode.d4.loss_cls: 0.7661, decode.d4.loss_mask: 0.7285, decode.d4.loss_dice: 1.0986, decode.d5.loss_cls: 0.7569, decode.d5.loss_mask: 0.7343, decode.d5.loss_dice: 1.1053, decode.d6.loss_cls: 0.7537, decode.d6.loss_mask: 0.7327, decode.d6.loss_dice: 1.1010, decode.d7.loss_cls: 0.7519, decode.d7.loss_mask: 0.7336, decode.d7.loss_dice: 1.0991, decode.d8.loss_cls: 0.7516, decode.d8.loss_mask: 0.7355, decode.d8.loss_dice: 1.0959, loss: 27.3694, grad_norm: 48.3195 2023-11-12 00:26:26,546 - mmseg - INFO - Iter [11750/160000] lr: 9.266e-05, eta: 21:15:56, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7016, decode.loss_mask: 0.7613, decode.loss_dice: 1.0891, decode.d0.loss_cls: 1.6323, decode.d0.loss_mask: 0.7971, decode.d0.loss_dice: 1.2394, decode.d1.loss_cls: 0.8076, decode.d1.loss_mask: 0.7883, decode.d1.loss_dice: 1.1745, decode.d2.loss_cls: 0.7389, decode.d2.loss_mask: 0.7668, decode.d2.loss_dice: 1.1262, decode.d3.loss_cls: 0.7155, decode.d3.loss_mask: 0.7621, decode.d3.loss_dice: 1.1015, decode.d4.loss_cls: 0.7092, decode.d4.loss_mask: 0.7575, decode.d4.loss_dice: 1.0948, decode.d5.loss_cls: 0.7106, decode.d5.loss_mask: 0.7570, decode.d5.loss_dice: 1.0934, decode.d6.loss_cls: 0.7001, decode.d6.loss_mask: 0.7601, decode.d6.loss_dice: 1.0895, decode.d7.loss_cls: 0.7066, decode.d7.loss_mask: 0.7594, decode.d7.loss_dice: 1.0874, decode.d8.loss_cls: 0.6996, decode.d8.loss_mask: 0.7582, decode.d8.loss_dice: 1.0894, loss: 26.9753, grad_norm: 50.5913 2023-11-12 00:26:50,652 - mmseg - INFO - Iter [11800/160000] lr: 9.263e-05, eta: 21:15:08, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7269, decode.loss_mask: 0.7163, decode.loss_dice: 1.0671, decode.d0.loss_cls: 1.7020, decode.d0.loss_mask: 0.7571, decode.d0.loss_dice: 1.2370, decode.d1.loss_cls: 0.8463, decode.d1.loss_mask: 0.7463, decode.d1.loss_dice: 1.1583, decode.d2.loss_cls: 0.7749, decode.d2.loss_mask: 0.7247, decode.d2.loss_dice: 1.0992, decode.d3.loss_cls: 0.7550, decode.d3.loss_mask: 0.7157, decode.d3.loss_dice: 1.0835, decode.d4.loss_cls: 0.7462, decode.d4.loss_mask: 0.7220, decode.d4.loss_dice: 1.0815, decode.d5.loss_cls: 0.7464, decode.d5.loss_mask: 0.7201, decode.d5.loss_dice: 1.0865, decode.d6.loss_cls: 0.7361, decode.d6.loss_mask: 0.7163, decode.d6.loss_dice: 1.0681, decode.d7.loss_cls: 0.7274, decode.d7.loss_mask: 0.7179, decode.d7.loss_dice: 1.0745, decode.d8.loss_cls: 0.7229, decode.d8.loss_mask: 0.7189, decode.d8.loss_dice: 1.0766, loss: 26.7718, grad_norm: 46.3657 2023-11-12 00:27:14,614 - mmseg - INFO - Iter [11850/160000] lr: 9.259e-05, eta: 21:14:19, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.7268, decode.loss_mask: 0.7487, decode.loss_dice: 1.0756, decode.d0.loss_cls: 1.6748, decode.d0.loss_mask: 0.7864, decode.d0.loss_dice: 1.2318, decode.d1.loss_cls: 0.8476, decode.d1.loss_mask: 0.7791, decode.d1.loss_dice: 1.1368, decode.d2.loss_cls: 0.7769, decode.d2.loss_mask: 0.7622, decode.d2.loss_dice: 1.0966, decode.d3.loss_cls: 0.7545, decode.d3.loss_mask: 0.7521, decode.d3.loss_dice: 1.0738, decode.d4.loss_cls: 0.7535, decode.d4.loss_mask: 0.7524, decode.d4.loss_dice: 1.0770, decode.d5.loss_cls: 0.7456, decode.d5.loss_mask: 0.7534, decode.d5.loss_dice: 1.0748, decode.d6.loss_cls: 0.7303, decode.d6.loss_mask: 0.7491, decode.d6.loss_dice: 1.0781, decode.d7.loss_cls: 0.7273, decode.d7.loss_mask: 0.7498, decode.d7.loss_dice: 1.0807, decode.d8.loss_cls: 0.7318, decode.d8.loss_mask: 0.7521, decode.d8.loss_dice: 1.0860, loss: 27.0655, grad_norm: 48.8234 2023-11-12 00:27:38,727 - mmseg - INFO - Iter [11900/160000] lr: 9.256e-05, eta: 21:13:33, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7570, decode.loss_mask: 0.7829, decode.loss_dice: 1.1179, decode.d0.loss_cls: 1.7322, decode.d0.loss_mask: 0.8140, decode.d0.loss_dice: 1.2638, decode.d1.loss_cls: 0.8859, decode.d1.loss_mask: 0.8067, decode.d1.loss_dice: 1.1815, decode.d2.loss_cls: 0.8055, decode.d2.loss_mask: 0.7879, decode.d2.loss_dice: 1.1390, decode.d3.loss_cls: 0.7772, decode.d3.loss_mask: 0.7832, decode.d3.loss_dice: 1.1165, decode.d4.loss_cls: 0.7730, decode.d4.loss_mask: 0.7840, decode.d4.loss_dice: 1.1187, decode.d5.loss_cls: 0.7613, decode.d5.loss_mask: 0.7816, decode.d5.loss_dice: 1.1253, decode.d6.loss_cls: 0.7618, decode.d6.loss_mask: 0.7838, decode.d6.loss_dice: 1.1139, decode.d7.loss_cls: 0.7555, decode.d7.loss_mask: 0.7836, decode.d7.loss_dice: 1.1158, decode.d8.loss_cls: 0.7570, decode.d8.loss_mask: 0.7853, decode.d8.loss_dice: 1.1146, loss: 28.0663, grad_norm: 49.7626 2023-11-12 00:28:02,818 - mmseg - INFO - Iter [11950/160000] lr: 9.253e-05, eta: 21:12:46, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6963, decode.loss_mask: 0.7420, decode.loss_dice: 1.0793, decode.d0.loss_cls: 1.6546, decode.d0.loss_mask: 0.7671, decode.d0.loss_dice: 1.2155, decode.d1.loss_cls: 0.8063, decode.d1.loss_mask: 0.7641, decode.d1.loss_dice: 1.1538, decode.d2.loss_cls: 0.7374, decode.d2.loss_mask: 0.7547, decode.d2.loss_dice: 1.1123, decode.d3.loss_cls: 0.7125, decode.d3.loss_mask: 0.7524, decode.d3.loss_dice: 1.0846, decode.d4.loss_cls: 0.7063, decode.d4.loss_mask: 0.7483, decode.d4.loss_dice: 1.0941, decode.d5.loss_cls: 0.7027, decode.d5.loss_mask: 0.7459, decode.d5.loss_dice: 1.0842, decode.d6.loss_cls: 0.6936, decode.d6.loss_mask: 0.7453, decode.d6.loss_dice: 1.0856, decode.d7.loss_cls: 0.6883, decode.d7.loss_mask: 0.7443, decode.d7.loss_dice: 1.0871, decode.d8.loss_cls: 0.6885, decode.d8.loss_mask: 0.7430, decode.d8.loss_dice: 1.0808, loss: 26.6706, grad_norm: 47.4899 2023-11-12 00:28:27,304 - mmseg - INFO - Saving checkpoint at 12000 iterations 2023-11-12 00:28:31,348 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 00:28:31,348 - mmseg - INFO - Iter [12000/160000] lr: 9.250e-05, eta: 21:12:54, time: 0.571, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7447, decode.loss_mask: 0.7436, decode.loss_dice: 1.0907, decode.d0.loss_cls: 1.7028, decode.d0.loss_mask: 0.7774, decode.d0.loss_dice: 1.2375, decode.d1.loss_cls: 0.8646, decode.d1.loss_mask: 0.7640, decode.d1.loss_dice: 1.1789, decode.d2.loss_cls: 0.7909, decode.d2.loss_mask: 0.7459, decode.d2.loss_dice: 1.1289, decode.d3.loss_cls: 0.7640, decode.d3.loss_mask: 0.7453, decode.d3.loss_dice: 1.1065, decode.d4.loss_cls: 0.7507, decode.d4.loss_mask: 0.7480, decode.d4.loss_dice: 1.1084, decode.d5.loss_cls: 0.7484, decode.d5.loss_mask: 0.7405, decode.d5.loss_dice: 1.1017, decode.d6.loss_cls: 0.7463, decode.d6.loss_mask: 0.7425, decode.d6.loss_dice: 1.0961, decode.d7.loss_cls: 0.7391, decode.d7.loss_mask: 0.7459, decode.d7.loss_dice: 1.1025, decode.d8.loss_cls: 0.7457, decode.d8.loss_mask: 0.7427, decode.d8.loss_dice: 1.0991, loss: 27.3433, grad_norm: 47.0671 2023-11-12 00:28:57,430 - mmseg - INFO - per class results: 2023-11-12 00:28:57,435 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.38 | 85.15 | | building | 79.96 | 93.02 | | sky | 94.7 | 97.02 | | floor | 83.06 | 87.41 | | tree | 74.85 | 87.63 | | ceiling | 83.57 | 94.42 | | road | 76.14 | 92.96 | | bed | 87.43 | 94.21 | | windowpane | 61.61 | 79.06 | | grass | 58.55 | 68.56 | | cabinet | 58.23 | 70.26 | | sidewalk | 54.93 | 65.12 | | person | 84.31 | 90.26 | | earth | 36.1 | 46.86 | | door | 45.51 | 56.72 | | table | 59.81 | 80.85 | | mountain | 61.34 | 81.58 | | plant | 53.35 | 63.92 | | curtain | 77.05 | 85.69 | | chair | 53.75 | 70.63 | | car | 85.81 | 93.92 | | water | 39.82 | 53.11 | | painting | 72.8 | 89.22 | | sofa | 63.08 | 81.67 | | shelf | 35.79 | 48.28 | | house | 23.05 | 27.93 | | sea | 53.81 | 85.62 | | mirror | 65.86 | 73.8 | | rug | 74.87 | 91.39 | | field | 23.15 | 61.85 | | armchair | 36.42 | 61.84 | | seat | 55.23 | 71.94 | | fence | 45.09 | 71.28 | | desk | 40.37 | 55.05 | | rock | 55.28 | 82.23 | | wardrobe | 46.85 | 57.29 | | lamp | 67.74 | 80.37 | | bathtub | 76.26 | 91.16 | | railing | 32.18 | 44.93 | | cushion | 59.7 | 77.43 | | base | 18.03 | 26.85 | | box | 24.35 | 46.93 | | column | 46.58 | 55.52 | | signboard | 35.94 | 61.46 | | chest of drawers | 31.57 | 67.28 | | counter | 38.31 | 64.9 | | sand | 28.29 | 47.44 | | sink | 73.33 | 83.43 | | skyscraper | 37.53 | 43.2 | | fireplace | 70.53 | 87.32 | | refrigerator | 75.2 | 86.64 | | grandstand | 48.3 | 58.11 | | path | 5.79 | 7.33 | | stairs | 41.02 | 65.07 | | runway | 62.49 | 75.08 | | case | 32.84 | 53.37 | | pool table | 93.8 | 97.18 | | pillow | 56.11 | 67.25 | | screen door | 64.49 | 83.53 | | stairway | 34.55 | 40.89 | | river | 8.09 | 18.86 | | bridge | 69.32 | 84.7 | | bookcase | 29.28 | 47.47 | | blind | 45.45 | 58.45 | | coffee table | 61.68 | 85.73 | | toilet | 84.78 | 93.41 | | flower | 39.02 | 56.6 | | book | 51.16 | 70.61 | | hill | 10.66 | 13.26 | | bench | 45.93 | 68.44 | | countertop | 53.26 | 82.87 | | stove | 75.99 | 88.54 | | palm | 54.34 | 71.55 | | kitchen island | 31.91 | 82.17 | | computer | 76.42 | 88.68 | | swivel chair | 42.67 | 59.32 | | boat | 59.33 | 90.11 | | bar | 12.63 | 13.03 | | arcade machine | 71.59 | 77.43 | | hovel | 17.05 | 18.12 | | bus | 92.51 | 95.73 | | towel | 60.9 | 90.35 | | light | 58.15 | 79.52 | | truck | 39.48 | 57.93 | | tower | 4.4 | 5.24 | | chandelier | 61.44 | 80.56 | | awning | 33.53 | 53.26 | | streetlight | 36.92 | 54.8 | | booth | 0.0 | 0.0 | | television receiver | 68.5 | 83.58 | | airplane | 56.96 | 66.22 | | dirt track | 0.0 | 0.0 | | apparel | 37.25 | 64.01 | | pole | 30.19 | 47.32 | | land | 15.98 | 19.11 | | bannister | 17.71 | 23.25 | | escalator | 0.02 | 0.02 | | ottoman | 54.1 | 75.02 | | bottle | 27.25 | 38.63 | | buffet | 43.3 | 55.75 | | poster | 17.62 | 27.74 | | stage | 13.88 | 18.16 | | van | 43.87 | 51.78 | | ship | 0.84 | 0.92 | | fountain | 5.93 | 6.27 | | conveyer belt | 36.25 | 64.21 | | canopy | 21.98 | 23.17 | | washer | 69.87 | 76.74 | | plaything | 20.31 | 27.55 | | swimming pool | 20.07 | 36.91 | | stool | 44.79 | 57.97 | | barrel | 56.17 | 64.6 | | basket | 29.85 | 54.46 | | waterfall | 47.43 | 69.33 | | tent | 72.92 | 98.11 | | bag | 20.23 | 34.79 | | minibike | 70.01 | 90.59 | | cradle | 86.12 | 97.84 | | oven | 44.53 | 53.19 | | ball | 45.58 | 58.46 | | food | 57.47 | 70.81 | | step | 21.64 | 30.85 | | tank | 26.97 | 30.76 | | trade name | 22.65 | 28.81 | | microwave | 77.47 | 87.51 | | pot | 37.98 | 47.18 | | animal | 73.39 | 77.13 | | bicycle | 54.33 | 84.49 | | lake | 0.0 | 0.0 | | dishwasher | 72.96 | 90.8 | | screen | 64.64 | 89.38 | | blanket | 11.0 | 14.28 | | sculpture | 62.28 | 85.53 | | hood | 69.54 | 91.48 | | sconce | 50.05 | 65.39 | | vase | 43.83 | 74.3 | | traffic light | 38.77 | 70.97 | | tray | 8.83 | 11.82 | | ashcan | 40.02 | 69.01 | | fan | 60.91 | 85.28 | | pier | 15.88 | 17.99 | | crt screen | 12.5 | 12.81 | | plate | 57.6 | 83.11 | | monitor | 49.41 | 78.25 | | bulletin board | 21.34 | 26.23 | | shower | 8.9 | 10.11 | | radiator | 60.1 | 74.33 | | glass | 22.26 | 26.9 | | clock | 30.65 | 41.39 | | flag | 68.88 | 86.57 | +---------------------+-------+-------+ 2023-11-12 00:28:57,435 - mmseg - INFO - Summary: 2023-11-12 00:28:57,436 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 81.71 | 46.82 | 60.98 | +-------+-------+-------+ 2023-11-12 00:28:57,520 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_10000.pth was removed 2023-11-12 00:29:00,943 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_12000.pth. 2023-11-12 00:29:00,944 - mmseg - INFO - Best mIoU is 0.4682 at 12000 iter. 2023-11-12 00:29:00,944 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 00:29:00,944 - mmseg - INFO - Iter(val) [250] aAcc: 0.8171, mIoU: 0.4682, mAcc: 0.6098, IoU.wall: 0.7738, IoU.building: 0.7996, IoU.sky: 0.9470, IoU.floor: 0.8306, IoU.tree: 0.7485, IoU.ceiling: 0.8357, IoU.road: 0.7614, IoU.bed : 0.8743, IoU.windowpane: 0.6161, IoU.grass: 0.5855, IoU.cabinet: 0.5823, IoU.sidewalk: 0.5493, IoU.person: 0.8431, IoU.earth: 0.3610, IoU.door: 0.4551, IoU.table: 0.5981, IoU.mountain: 0.6134, IoU.plant: 0.5335, IoU.curtain: 0.7705, IoU.chair: 0.5375, IoU.car: 0.8581, IoU.water: 0.3982, IoU.painting: 0.7280, IoU.sofa: 0.6308, IoU.shelf: 0.3579, IoU.house: 0.2305, IoU.sea: 0.5381, IoU.mirror: 0.6586, IoU.rug: 0.7487, IoU.field: 0.2315, IoU.armchair: 0.3642, IoU.seat: 0.5523, IoU.fence: 0.4509, IoU.desk: 0.4037, IoU.rock: 0.5528, IoU.wardrobe: 0.4685, IoU.lamp: 0.6774, IoU.bathtub: 0.7626, IoU.railing: 0.3218, IoU.cushion: 0.5970, IoU.base: 0.1803, IoU.box: 0.2435, IoU.column: 0.4658, IoU.signboard: 0.3594, IoU.chest of drawers: 0.3157, IoU.counter: 0.3831, IoU.sand: 0.2829, IoU.sink: 0.7333, IoU.skyscraper: 0.3753, IoU.fireplace: 0.7053, IoU.refrigerator: 0.7520, IoU.grandstand: 0.4830, IoU.path: 0.0579, IoU.stairs: 0.4102, IoU.runway: 0.6249, IoU.case: 0.3284, IoU.pool table: 0.9380, IoU.pillow: 0.5611, IoU.screen door: 0.6449, IoU.stairway: 0.3455, IoU.river: 0.0809, IoU.bridge: 0.6932, IoU.bookcase: 0.2928, IoU.blind: 0.4545, IoU.coffee table: 0.6168, IoU.toilet: 0.8478, IoU.flower: 0.3902, IoU.book: 0.5116, IoU.hill: 0.1066, IoU.bench: 0.4593, IoU.countertop: 0.5326, IoU.stove: 0.7599, IoU.palm: 0.5434, IoU.kitchen island: 0.3191, IoU.computer: 0.7642, IoU.swivel chair: 0.4267, IoU.boat: 0.5933, IoU.bar: 0.1263, IoU.arcade machine: 0.7159, IoU.hovel: 0.1705, IoU.bus: 0.9251, IoU.towel: 0.6090, IoU.light: 0.5815, IoU.truck: 0.3948, IoU.tower: 0.0440, IoU.chandelier: 0.6144, IoU.awning: 0.3353, IoU.streetlight: 0.3692, IoU.booth: 0.0000, IoU.television receiver: 0.6850, IoU.airplane: 0.5696, IoU.dirt track: 0.0000, IoU.apparel: 0.3725, IoU.pole: 0.3019, IoU.land: 0.1598, IoU.bannister: 0.1771, IoU.escalator: 0.0002, IoU.ottoman: 0.5410, IoU.bottle: 0.2725, IoU.buffet: 0.4330, IoU.poster: 0.1762, IoU.stage: 0.1388, IoU.van: 0.4387, IoU.ship: 0.0084, IoU.fountain: 0.0593, IoU.conveyer belt: 0.3625, IoU.canopy: 0.2198, IoU.washer: 0.6987, IoU.plaything: 0.2031, IoU.swimming pool: 0.2007, IoU.stool: 0.4479, IoU.barrel: 0.5617, IoU.basket: 0.2985, IoU.waterfall: 0.4743, IoU.tent: 0.7292, IoU.bag: 0.2023, IoU.minibike: 0.7001, IoU.cradle: 0.8612, IoU.oven: 0.4453, IoU.ball: 0.4558, IoU.food: 0.5747, IoU.step: 0.2164, IoU.tank: 0.2697, IoU.trade name: 0.2265, IoU.microwave: 0.7747, IoU.pot: 0.3798, IoU.animal: 0.7339, IoU.bicycle: 0.5433, IoU.lake: 0.0000, IoU.dishwasher: 0.7296, IoU.screen: 0.6464, IoU.blanket: 0.1100, IoU.sculpture: 0.6228, IoU.hood: 0.6954, IoU.sconce: 0.5005, IoU.vase: 0.4383, IoU.traffic light: 0.3877, IoU.tray: 0.0883, IoU.ashcan: 0.4002, IoU.fan: 0.6091, IoU.pier: 0.1588, IoU.crt screen: 0.1250, IoU.plate: 0.5760, IoU.monitor: 0.4941, IoU.bulletin board: 0.2134, IoU.shower: 0.0890, IoU.radiator: 0.6010, IoU.glass: 0.2226, IoU.clock: 0.3065, IoU.flag: 0.6888, Acc.wall: 0.8515, Acc.building: 0.9302, Acc.sky: 0.9702, Acc.floor: 0.8741, Acc.tree: 0.8763, Acc.ceiling: 0.9442, Acc.road: 0.9296, Acc.bed : 0.9421, Acc.windowpane: 0.7906, Acc.grass: 0.6856, Acc.cabinet: 0.7026, Acc.sidewalk: 0.6512, Acc.person: 0.9026, Acc.earth: 0.4686, Acc.door: 0.5672, Acc.table: 0.8085, Acc.mountain: 0.8158, Acc.plant: 0.6392, Acc.curtain: 0.8569, Acc.chair: 0.7063, Acc.car: 0.9392, Acc.water: 0.5311, Acc.painting: 0.8922, Acc.sofa: 0.8167, Acc.shelf: 0.4828, Acc.house: 0.2793, Acc.sea: 0.8562, Acc.mirror: 0.7380, Acc.rug: 0.9139, Acc.field: 0.6185, Acc.armchair: 0.6184, Acc.seat: 0.7194, Acc.fence: 0.7128, Acc.desk: 0.5505, Acc.rock: 0.8223, Acc.wardrobe: 0.5729, Acc.lamp: 0.8037, Acc.bathtub: 0.9116, Acc.railing: 0.4493, Acc.cushion: 0.7743, Acc.base: 0.2685, Acc.box: 0.4693, Acc.column: 0.5552, Acc.signboard: 0.6146, Acc.chest of drawers: 0.6728, Acc.counter: 0.6490, Acc.sand: 0.4744, Acc.sink: 0.8343, Acc.skyscraper: 0.4320, Acc.fireplace: 0.8732, Acc.refrigerator: 0.8664, Acc.grandstand: 0.5811, Acc.path: 0.0733, Acc.stairs: 0.6507, Acc.runway: 0.7508, Acc.case: 0.5337, Acc.pool table: 0.9718, Acc.pillow: 0.6725, Acc.screen door: 0.8353, Acc.stairway: 0.4089, Acc.river: 0.1886, Acc.bridge: 0.8470, Acc.bookcase: 0.4747, Acc.blind: 0.5845, Acc.coffee table: 0.8573, Acc.toilet: 0.9341, Acc.flower: 0.5660, Acc.book: 0.7061, Acc.hill: 0.1326, Acc.bench: 0.6844, Acc.countertop: 0.8287, Acc.stove: 0.8854, Acc.palm: 0.7155, Acc.kitchen island: 0.8217, Acc.computer: 0.8868, Acc.swivel chair: 0.5932, Acc.boat: 0.9011, Acc.bar: 0.1303, Acc.arcade machine: 0.7743, Acc.hovel: 0.1812, Acc.bus: 0.9573, Acc.towel: 0.9035, Acc.light: 0.7952, Acc.truck: 0.5793, Acc.tower: 0.0524, Acc.chandelier: 0.8056, Acc.awning: 0.5326, Acc.streetlight: 0.5480, Acc.booth: 0.0000, Acc.television receiver: 0.8358, Acc.airplane: 0.6622, Acc.dirt track: 0.0000, Acc.apparel: 0.6401, Acc.pole: 0.4732, Acc.land: 0.1911, Acc.bannister: 0.2325, Acc.escalator: 0.0002, Acc.ottoman: 0.7502, Acc.bottle: 0.3863, Acc.buffet: 0.5575, Acc.poster: 0.2774, Acc.stage: 0.1816, Acc.van: 0.5178, Acc.ship: 0.0092, Acc.fountain: 0.0627, Acc.conveyer belt: 0.6421, Acc.canopy: 0.2317, Acc.washer: 0.7674, Acc.plaything: 0.2755, Acc.swimming pool: 0.3691, Acc.stool: 0.5797, Acc.barrel: 0.6460, Acc.basket: 0.5446, Acc.waterfall: 0.6933, Acc.tent: 0.9811, Acc.bag: 0.3479, Acc.minibike: 0.9059, Acc.cradle: 0.9784, Acc.oven: 0.5319, Acc.ball: 0.5846, Acc.food: 0.7081, Acc.step: 0.3085, Acc.tank: 0.3076, Acc.trade name: 0.2881, Acc.microwave: 0.8751, Acc.pot: 0.4718, Acc.animal: 0.7713, Acc.bicycle: 0.8449, Acc.lake: 0.0000, Acc.dishwasher: 0.9080, Acc.screen: 0.8938, Acc.blanket: 0.1428, Acc.sculpture: 0.8553, Acc.hood: 0.9148, Acc.sconce: 0.6539, Acc.vase: 0.7430, Acc.traffic light: 0.7097, Acc.tray: 0.1182, Acc.ashcan: 0.6901, Acc.fan: 0.8528, Acc.pier: 0.1799, Acc.crt screen: 0.1281, Acc.plate: 0.8311, Acc.monitor: 0.7825, Acc.bulletin board: 0.2623, Acc.shower: 0.1011, Acc.radiator: 0.7433, Acc.glass: 0.2690, Acc.clock: 0.4139, Acc.flag: 0.8657 2023-11-12 00:29:24,951 - mmseg - INFO - Iter [12050/160000] lr: 9.247e-05, eta: 21:18:09, time: 1.072, data_time: 0.604, memory: 41146, decode.loss_cls: 0.7028, decode.loss_mask: 0.7728, decode.loss_dice: 1.0586, decode.d0.loss_cls: 1.6578, decode.d0.loss_mask: 0.8097, decode.d0.loss_dice: 1.2051, decode.d1.loss_cls: 0.8133, decode.d1.loss_mask: 0.8051, decode.d1.loss_dice: 1.1296, decode.d2.loss_cls: 0.7481, decode.d2.loss_mask: 0.7825, decode.d2.loss_dice: 1.0877, decode.d3.loss_cls: 0.7231, decode.d3.loss_mask: 0.7704, decode.d3.loss_dice: 1.0614, decode.d4.loss_cls: 0.7187, decode.d4.loss_mask: 0.7739, decode.d4.loss_dice: 1.0674, decode.d5.loss_cls: 0.7175, decode.d5.loss_mask: 0.7687, decode.d5.loss_dice: 1.0613, decode.d6.loss_cls: 0.7068, decode.d6.loss_mask: 0.7697, decode.d6.loss_dice: 1.0554, decode.d7.loss_cls: 0.7075, decode.d7.loss_mask: 0.7703, decode.d7.loss_dice: 1.0624, decode.d8.loss_cls: 0.7014, decode.d8.loss_mask: 0.7773, decode.d8.loss_dice: 1.0549, loss: 26.8413, grad_norm: 54.2883 2023-11-12 00:29:49,155 - mmseg - INFO - Iter [12100/160000] lr: 9.244e-05, eta: 21:17:22, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6787, decode.loss_mask: 0.7308, decode.loss_dice: 1.0706, decode.d0.loss_cls: 1.6811, decode.d0.loss_mask: 0.7576, decode.d0.loss_dice: 1.2246, decode.d1.loss_cls: 0.8183, decode.d1.loss_mask: 0.7402, decode.d1.loss_dice: 1.1525, decode.d2.loss_cls: 0.7320, decode.d2.loss_mask: 0.7287, decode.d2.loss_dice: 1.1149, decode.d3.loss_cls: 0.7047, decode.d3.loss_mask: 0.7305, decode.d3.loss_dice: 1.0863, decode.d4.loss_cls: 0.6951, decode.d4.loss_mask: 0.7251, decode.d4.loss_dice: 1.0793, decode.d5.loss_cls: 0.6997, decode.d5.loss_mask: 0.7260, decode.d5.loss_dice: 1.0787, decode.d6.loss_cls: 0.6889, decode.d6.loss_mask: 0.7225, decode.d6.loss_dice: 1.0688, decode.d7.loss_cls: 0.6853, decode.d7.loss_mask: 0.7240, decode.d7.loss_dice: 1.0785, decode.d8.loss_cls: 0.6886, decode.d8.loss_mask: 0.7233, decode.d8.loss_dice: 1.0784, loss: 26.4134, grad_norm: 45.9162 2023-11-12 00:30:13,173 - mmseg - INFO - Iter [12150/160000] lr: 9.241e-05, eta: 21:16:33, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6914, decode.loss_mask: 0.7511, decode.loss_dice: 1.0628, decode.d0.loss_cls: 1.6500, decode.d0.loss_mask: 0.7777, decode.d0.loss_dice: 1.2082, decode.d1.loss_cls: 0.8060, decode.d1.loss_mask: 0.7739, decode.d1.loss_dice: 1.1337, decode.d2.loss_cls: 0.7427, decode.d2.loss_mask: 0.7596, decode.d2.loss_dice: 1.0895, decode.d3.loss_cls: 0.7277, decode.d3.loss_mask: 0.7539, decode.d3.loss_dice: 1.0654, decode.d4.loss_cls: 0.7166, decode.d4.loss_mask: 0.7522, decode.d4.loss_dice: 1.0639, decode.d5.loss_cls: 0.7128, decode.d5.loss_mask: 0.7505, decode.d5.loss_dice: 1.0528, decode.d6.loss_cls: 0.6979, decode.d6.loss_mask: 0.7525, decode.d6.loss_dice: 1.0548, decode.d7.loss_cls: 0.6998, decode.d7.loss_mask: 0.7480, decode.d7.loss_dice: 1.0570, decode.d8.loss_cls: 0.7014, decode.d8.loss_mask: 0.7499, decode.d8.loss_dice: 1.0627, loss: 26.5661, grad_norm: 49.4095 2023-11-12 00:30:37,216 - mmseg - INFO - Iter [12200/160000] lr: 9.238e-05, eta: 21:15:45, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7192, decode.loss_mask: 0.7529, decode.loss_dice: 1.0727, decode.d0.loss_cls: 1.6805, decode.d0.loss_mask: 0.7786, decode.d0.loss_dice: 1.2152, decode.d1.loss_cls: 0.8339, decode.d1.loss_mask: 0.7752, decode.d1.loss_dice: 1.1360, decode.d2.loss_cls: 0.7742, decode.d2.loss_mask: 0.7592, decode.d2.loss_dice: 1.1003, decode.d3.loss_cls: 0.7497, decode.d3.loss_mask: 0.7540, decode.d3.loss_dice: 1.0816, decode.d4.loss_cls: 0.7337, decode.d4.loss_mask: 0.7535, decode.d4.loss_dice: 1.0810, decode.d5.loss_cls: 0.7317, decode.d5.loss_mask: 0.7523, decode.d5.loss_dice: 1.0755, decode.d6.loss_cls: 0.7227, decode.d6.loss_mask: 0.7515, decode.d6.loss_dice: 1.0693, decode.d7.loss_cls: 0.7246, decode.d7.loss_mask: 0.7549, decode.d7.loss_dice: 1.0716, decode.d8.loss_cls: 0.7130, decode.d8.loss_mask: 0.7567, decode.d8.loss_dice: 1.0723, loss: 26.9472, grad_norm: 51.5921 2023-11-12 00:31:01,438 - mmseg - INFO - Iter [12250/160000] lr: 9.234e-05, eta: 21:14:59, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.7174, decode.loss_mask: 0.7494, decode.loss_dice: 1.0818, decode.d0.loss_cls: 1.7075, decode.d0.loss_mask: 0.7832, decode.d0.loss_dice: 1.2274, decode.d1.loss_cls: 0.8318, decode.d1.loss_mask: 0.7818, decode.d1.loss_dice: 1.1622, decode.d2.loss_cls: 0.7681, decode.d2.loss_mask: 0.7707, decode.d2.loss_dice: 1.1205, decode.d3.loss_cls: 0.7481, decode.d3.loss_mask: 0.7564, decode.d3.loss_dice: 1.0970, decode.d4.loss_cls: 0.7307, decode.d4.loss_mask: 0.7562, decode.d4.loss_dice: 1.0923, decode.d5.loss_cls: 0.7395, decode.d5.loss_mask: 0.7532, decode.d5.loss_dice: 1.0848, decode.d6.loss_cls: 0.7319, decode.d6.loss_mask: 0.7519, decode.d6.loss_dice: 1.0715, decode.d7.loss_cls: 0.7291, decode.d7.loss_mask: 0.7517, decode.d7.loss_dice: 1.0762, decode.d8.loss_cls: 0.7198, decode.d8.loss_mask: 0.7538, decode.d8.loss_dice: 1.0863, loss: 27.1320, grad_norm: 48.5953 2023-11-12 00:31:25,660 - mmseg - INFO - Iter [12300/160000] lr: 9.231e-05, eta: 21:14:13, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6981, decode.loss_mask: 0.7288, decode.loss_dice: 1.0531, decode.d0.loss_cls: 1.6708, decode.d0.loss_mask: 0.7658, decode.d0.loss_dice: 1.2000, decode.d1.loss_cls: 0.8151, decode.d1.loss_mask: 0.7585, decode.d1.loss_dice: 1.1361, decode.d2.loss_cls: 0.7480, decode.d2.loss_mask: 0.7434, decode.d2.loss_dice: 1.0927, decode.d3.loss_cls: 0.7258, decode.d3.loss_mask: 0.7312, decode.d3.loss_dice: 1.0619, decode.d4.loss_cls: 0.7227, decode.d4.loss_mask: 0.7285, decode.d4.loss_dice: 1.0584, decode.d5.loss_cls: 0.7205, decode.d5.loss_mask: 0.7290, decode.d5.loss_dice: 1.0576, decode.d6.loss_cls: 0.7080, decode.d6.loss_mask: 0.7272, decode.d6.loss_dice: 1.0526, decode.d7.loss_cls: 0.7048, decode.d7.loss_mask: 0.7280, decode.d7.loss_dice: 1.0521, decode.d8.loss_cls: 0.6971, decode.d8.loss_mask: 0.7322, decode.d8.loss_dice: 1.0562, loss: 26.4039, grad_norm: 51.2769 2023-11-12 00:31:49,967 - mmseg - INFO - Iter [12350/160000] lr: 9.228e-05, eta: 21:13:28, time: 0.486, data_time: 0.014, memory: 41146, decode.loss_cls: 0.7092, decode.loss_mask: 0.7329, decode.loss_dice: 1.0577, decode.d0.loss_cls: 1.7070, decode.d0.loss_mask: 0.7664, decode.d0.loss_dice: 1.2112, decode.d1.loss_cls: 0.8263, decode.d1.loss_mask: 0.7661, decode.d1.loss_dice: 1.1364, decode.d2.loss_cls: 0.7495, decode.d2.loss_mask: 0.7471, decode.d2.loss_dice: 1.0984, decode.d3.loss_cls: 0.7234, decode.d3.loss_mask: 0.7314, decode.d3.loss_dice: 1.0742, decode.d4.loss_cls: 0.7223, decode.d4.loss_mask: 0.7370, decode.d4.loss_dice: 1.0729, decode.d5.loss_cls: 0.7209, decode.d5.loss_mask: 0.7341, decode.d5.loss_dice: 1.0690, decode.d6.loss_cls: 0.7181, decode.d6.loss_mask: 0.7286, decode.d6.loss_dice: 1.0559, decode.d7.loss_cls: 0.7102, decode.d7.loss_mask: 0.7327, decode.d7.loss_dice: 1.0645, decode.d8.loss_cls: 0.7079, decode.d8.loss_mask: 0.7386, decode.d8.loss_dice: 1.0684, loss: 26.6183, grad_norm: 49.9374 2023-11-12 00:32:14,463 - mmseg - INFO - Iter [12400/160000] lr: 9.225e-05, eta: 21:12:46, time: 0.490, data_time: 0.014, memory: 41146, decode.loss_cls: 0.7215, decode.loss_mask: 0.7408, decode.loss_dice: 1.0907, decode.d0.loss_cls: 1.7094, decode.d0.loss_mask: 0.7704, decode.d0.loss_dice: 1.2262, decode.d1.loss_cls: 0.8265, decode.d1.loss_mask: 0.7608, decode.d1.loss_dice: 1.1593, decode.d2.loss_cls: 0.7757, decode.d2.loss_mask: 0.7457, decode.d2.loss_dice: 1.1096, decode.d3.loss_cls: 0.7460, decode.d3.loss_mask: 0.7394, decode.d3.loss_dice: 1.0932, decode.d4.loss_cls: 0.7430, decode.d4.loss_mask: 0.7349, decode.d4.loss_dice: 1.0932, decode.d5.loss_cls: 0.7425, decode.d5.loss_mask: 0.7377, decode.d5.loss_dice: 1.0953, decode.d6.loss_cls: 0.7385, decode.d6.loss_mask: 0.7367, decode.d6.loss_dice: 1.0814, decode.d7.loss_cls: 0.7296, decode.d7.loss_mask: 0.7335, decode.d7.loss_dice: 1.0919, decode.d8.loss_cls: 0.7259, decode.d8.loss_mask: 0.7403, decode.d8.loss_dice: 1.0921, loss: 27.0316, grad_norm: 51.1666 2023-11-12 00:32:38,754 - mmseg - INFO - Iter [12450/160000] lr: 9.222e-05, eta: 21:12:01, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7004, decode.loss_mask: 0.7288, decode.loss_dice: 1.0706, decode.d0.loss_cls: 1.6591, decode.d0.loss_mask: 0.7689, decode.d0.loss_dice: 1.2124, decode.d1.loss_cls: 0.8145, decode.d1.loss_mask: 0.7557, decode.d1.loss_dice: 1.1455, decode.d2.loss_cls: 0.7385, decode.d2.loss_mask: 0.7367, decode.d2.loss_dice: 1.0924, decode.d3.loss_cls: 0.7186, decode.d3.loss_mask: 0.7315, decode.d3.loss_dice: 1.0696, decode.d4.loss_cls: 0.7195, decode.d4.loss_mask: 0.7323, decode.d4.loss_dice: 1.0772, decode.d5.loss_cls: 0.7153, decode.d5.loss_mask: 0.7271, decode.d5.loss_dice: 1.0712, decode.d6.loss_cls: 0.7066, decode.d6.loss_mask: 0.7299, decode.d6.loss_dice: 1.0640, decode.d7.loss_cls: 0.7068, decode.d7.loss_mask: 0.7314, decode.d7.loss_dice: 1.0716, decode.d8.loss_cls: 0.6953, decode.d8.loss_mask: 0.7289, decode.d8.loss_dice: 1.0739, loss: 26.4940, grad_norm: 51.1030 2023-11-12 00:33:02,926 - mmseg - INFO - Iter [12500/160000] lr: 9.219e-05, eta: 21:11:16, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7323, decode.loss_mask: 0.7411, decode.loss_dice: 1.0932, decode.d0.loss_cls: 1.7165, decode.d0.loss_mask: 0.7756, decode.d0.loss_dice: 1.2388, decode.d1.loss_cls: 0.8401, decode.d1.loss_mask: 0.7684, decode.d1.loss_dice: 1.1701, decode.d2.loss_cls: 0.7689, decode.d2.loss_mask: 0.7548, decode.d2.loss_dice: 1.1231, decode.d3.loss_cls: 0.7467, decode.d3.loss_mask: 0.7439, decode.d3.loss_dice: 1.0982, decode.d4.loss_cls: 0.7399, decode.d4.loss_mask: 0.7388, decode.d4.loss_dice: 1.0953, decode.d5.loss_cls: 0.7393, decode.d5.loss_mask: 0.7443, decode.d5.loss_dice: 1.1002, decode.d6.loss_cls: 0.7332, decode.d6.loss_mask: 0.7413, decode.d6.loss_dice: 1.0901, decode.d7.loss_cls: 0.7288, decode.d7.loss_mask: 0.7451, decode.d7.loss_dice: 1.0976, decode.d8.loss_cls: 0.7250, decode.d8.loss_mask: 0.7387, decode.d8.loss_dice: 1.0964, loss: 27.1657, grad_norm: 49.7393 2023-11-12 00:33:26,962 - mmseg - INFO - Iter [12550/160000] lr: 9.216e-05, eta: 21:10:28, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.7195, decode.loss_mask: 0.7346, decode.loss_dice: 1.0593, decode.d0.loss_cls: 1.6597, decode.d0.loss_mask: 0.7894, decode.d0.loss_dice: 1.2307, decode.d1.loss_cls: 0.8360, decode.d1.loss_mask: 0.7671, decode.d1.loss_dice: 1.1441, decode.d2.loss_cls: 0.7584, decode.d2.loss_mask: 0.7485, decode.d2.loss_dice: 1.0900, decode.d3.loss_cls: 0.7447, decode.d3.loss_mask: 0.7396, decode.d3.loss_dice: 1.0624, decode.d4.loss_cls: 0.7410, decode.d4.loss_mask: 0.7338, decode.d4.loss_dice: 1.0691, decode.d5.loss_cls: 0.7415, decode.d5.loss_mask: 0.7365, decode.d5.loss_dice: 1.0638, decode.d6.loss_cls: 0.7198, decode.d6.loss_mask: 0.7366, decode.d6.loss_dice: 1.0601, decode.d7.loss_cls: 0.7243, decode.d7.loss_mask: 0.7335, decode.d7.loss_dice: 1.0598, decode.d8.loss_cls: 0.7220, decode.d8.loss_mask: 0.7330, decode.d8.loss_dice: 1.0605, loss: 26.7193, grad_norm: 52.0762 2023-11-12 00:33:51,103 - mmseg - INFO - Iter [12600/160000] lr: 9.213e-05, eta: 21:09:42, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.7362, decode.loss_mask: 0.7622, decode.loss_dice: 1.1066, decode.d0.loss_cls: 1.6946, decode.d0.loss_mask: 0.8028, decode.d0.loss_dice: 1.2592, decode.d1.loss_cls: 0.8524, decode.d1.loss_mask: 0.7841, decode.d1.loss_dice: 1.1880, decode.d2.loss_cls: 0.7805, decode.d2.loss_mask: 0.7710, decode.d2.loss_dice: 1.1507, decode.d3.loss_cls: 0.7609, decode.d3.loss_mask: 0.7663, decode.d3.loss_dice: 1.1289, decode.d4.loss_cls: 0.7465, decode.d4.loss_mask: 0.7667, decode.d4.loss_dice: 1.1273, decode.d5.loss_cls: 0.7453, decode.d5.loss_mask: 0.7645, decode.d5.loss_dice: 1.1221, decode.d6.loss_cls: 0.7465, decode.d6.loss_mask: 0.7609, decode.d6.loss_dice: 1.1156, decode.d7.loss_cls: 0.7402, decode.d7.loss_mask: 0.7686, decode.d7.loss_dice: 1.1220, decode.d8.loss_cls: 0.7370, decode.d8.loss_mask: 0.7710, decode.d8.loss_dice: 1.1133, loss: 27.6918, grad_norm: 48.8253 2023-11-12 00:34:17,510 - mmseg - INFO - Iter [12650/160000] lr: 9.209e-05, eta: 21:09:23, time: 0.528, data_time: 0.059, memory: 41146, decode.loss_cls: 0.7156, decode.loss_mask: 0.7306, decode.loss_dice: 1.0771, decode.d0.loss_cls: 1.6887, decode.d0.loss_mask: 0.7679, decode.d0.loss_dice: 1.2257, decode.d1.loss_cls: 0.8443, decode.d1.loss_mask: 0.7586, decode.d1.loss_dice: 1.1471, decode.d2.loss_cls: 0.7632, decode.d2.loss_mask: 0.7399, decode.d2.loss_dice: 1.1086, decode.d3.loss_cls: 0.7479, decode.d3.loss_mask: 0.7319, decode.d3.loss_dice: 1.0834, decode.d4.loss_cls: 0.7301, decode.d4.loss_mask: 0.7353, decode.d4.loss_dice: 1.0853, decode.d5.loss_cls: 0.7283, decode.d5.loss_mask: 0.7320, decode.d5.loss_dice: 1.0845, decode.d6.loss_cls: 0.7178, decode.d6.loss_mask: 0.7276, decode.d6.loss_dice: 1.0725, decode.d7.loss_cls: 0.7185, decode.d7.loss_mask: 0.7383, decode.d7.loss_dice: 1.0782, decode.d8.loss_cls: 0.7117, decode.d8.loss_mask: 0.7315, decode.d8.loss_dice: 1.0811, loss: 26.8034, grad_norm: 48.4348 2023-11-12 00:34:41,728 - mmseg - INFO - Iter [12700/160000] lr: 9.206e-05, eta: 21:08:38, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6943, decode.loss_mask: 0.7343, decode.loss_dice: 1.0567, decode.d0.loss_cls: 1.6892, decode.d0.loss_mask: 0.7604, decode.d0.loss_dice: 1.1953, decode.d1.loss_cls: 0.8108, decode.d1.loss_mask: 0.7498, decode.d1.loss_dice: 1.1262, decode.d2.loss_cls: 0.7351, decode.d2.loss_mask: 0.7355, decode.d2.loss_dice: 1.0871, decode.d3.loss_cls: 0.7196, decode.d3.loss_mask: 0.7273, decode.d3.loss_dice: 1.0616, decode.d4.loss_cls: 0.7077, decode.d4.loss_mask: 0.7326, decode.d4.loss_dice: 1.0619, decode.d5.loss_cls: 0.7038, decode.d5.loss_mask: 0.7294, decode.d5.loss_dice: 1.0576, decode.d6.loss_cls: 0.7017, decode.d6.loss_mask: 0.7314, decode.d6.loss_dice: 1.0505, decode.d7.loss_cls: 0.6896, decode.d7.loss_mask: 0.7330, decode.d7.loss_dice: 1.0624, decode.d8.loss_cls: 0.6939, decode.d8.loss_mask: 0.7291, decode.d8.loss_dice: 1.0606, loss: 26.3284, grad_norm: 46.5725 2023-11-12 00:35:05,683 - mmseg - INFO - Iter [12750/160000] lr: 9.203e-05, eta: 21:07:51, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6906, decode.loss_mask: 0.7298, decode.loss_dice: 1.0398, decode.d0.loss_cls: 1.6702, decode.d0.loss_mask: 0.7741, decode.d0.loss_dice: 1.1770, decode.d1.loss_cls: 0.7942, decode.d1.loss_mask: 0.7611, decode.d1.loss_dice: 1.1219, decode.d2.loss_cls: 0.7303, decode.d2.loss_mask: 0.7407, decode.d2.loss_dice: 1.0709, decode.d3.loss_cls: 0.7174, decode.d3.loss_mask: 0.7299, decode.d3.loss_dice: 1.0404, decode.d4.loss_cls: 0.7076, decode.d4.loss_mask: 0.7305, decode.d4.loss_dice: 1.0423, decode.d5.loss_cls: 0.7071, decode.d5.loss_mask: 0.7259, decode.d5.loss_dice: 1.0350, decode.d6.loss_cls: 0.6986, decode.d6.loss_mask: 0.7280, decode.d6.loss_dice: 1.0348, decode.d7.loss_cls: 0.6895, decode.d7.loss_mask: 0.7262, decode.d7.loss_dice: 1.0378, decode.d8.loss_cls: 0.6928, decode.d8.loss_mask: 0.7320, decode.d8.loss_dice: 1.0412, loss: 26.1177, grad_norm: 47.1198 2023-11-12 00:35:30,166 - mmseg - INFO - Iter [12800/160000] lr: 9.200e-05, eta: 21:07:10, time: 0.490, data_time: 0.014, memory: 41146, decode.loss_cls: 0.6971, decode.loss_mask: 0.7062, decode.loss_dice: 1.0707, decode.d0.loss_cls: 1.6724, decode.d0.loss_mask: 0.7415, decode.d0.loss_dice: 1.2195, decode.d1.loss_cls: 0.8267, decode.d1.loss_mask: 0.7303, decode.d1.loss_dice: 1.1449, decode.d2.loss_cls: 0.7457, decode.d2.loss_mask: 0.7235, decode.d2.loss_dice: 1.0971, decode.d3.loss_cls: 0.7157, decode.d3.loss_mask: 0.7122, decode.d3.loss_dice: 1.0745, decode.d4.loss_cls: 0.7084, decode.d4.loss_mask: 0.7162, decode.d4.loss_dice: 1.0801, decode.d5.loss_cls: 0.7133, decode.d5.loss_mask: 0.7143, decode.d5.loss_dice: 1.0752, decode.d6.loss_cls: 0.7106, decode.d6.loss_mask: 0.7064, decode.d6.loss_dice: 1.0664, decode.d7.loss_cls: 0.7020, decode.d7.loss_mask: 0.7081, decode.d7.loss_dice: 1.0733, decode.d8.loss_cls: 0.6951, decode.d8.loss_mask: 0.7085, decode.d8.loss_dice: 1.0757, loss: 26.3316, grad_norm: 48.0065 2023-11-12 00:35:54,473 - mmseg - INFO - Iter [12850/160000] lr: 9.197e-05, eta: 21:06:26, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7027, decode.loss_mask: 0.7266, decode.loss_dice: 1.0455, decode.d0.loss_cls: 1.6980, decode.d0.loss_mask: 0.7618, decode.d0.loss_dice: 1.1996, decode.d1.loss_cls: 0.8207, decode.d1.loss_mask: 0.7487, decode.d1.loss_dice: 1.1218, decode.d2.loss_cls: 0.7423, decode.d2.loss_mask: 0.7375, decode.d2.loss_dice: 1.0790, decode.d3.loss_cls: 0.7309, decode.d3.loss_mask: 0.7311, decode.d3.loss_dice: 1.0548, decode.d4.loss_cls: 0.7211, decode.d4.loss_mask: 0.7228, decode.d4.loss_dice: 1.0551, decode.d5.loss_cls: 0.7144, decode.d5.loss_mask: 0.7215, decode.d5.loss_dice: 1.0496, decode.d6.loss_cls: 0.7154, decode.d6.loss_mask: 0.7206, decode.d6.loss_dice: 1.0362, decode.d7.loss_cls: 0.7126, decode.d7.loss_mask: 0.7224, decode.d7.loss_dice: 1.0427, decode.d8.loss_cls: 0.7042, decode.d8.loss_mask: 0.7293, decode.d8.loss_dice: 1.0438, loss: 26.3128, grad_norm: 49.2440 2023-11-12 00:36:18,502 - mmseg - INFO - Iter [12900/160000] lr: 9.194e-05, eta: 21:05:40, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7010, decode.loss_mask: 0.7414, decode.loss_dice: 1.0530, decode.d0.loss_cls: 1.6925, decode.d0.loss_mask: 0.7766, decode.d0.loss_dice: 1.1937, decode.d1.loss_cls: 0.8100, decode.d1.loss_mask: 0.7643, decode.d1.loss_dice: 1.1242, decode.d2.loss_cls: 0.7403, decode.d2.loss_mask: 0.7499, decode.d2.loss_dice: 1.0738, decode.d3.loss_cls: 0.7202, decode.d3.loss_mask: 0.7398, decode.d3.loss_dice: 1.0573, decode.d4.loss_cls: 0.7183, decode.d4.loss_mask: 0.7387, decode.d4.loss_dice: 1.0560, decode.d5.loss_cls: 0.7115, decode.d5.loss_mask: 0.7383, decode.d5.loss_dice: 1.0472, decode.d6.loss_cls: 0.7031, decode.d6.loss_mask: 0.7385, decode.d6.loss_dice: 1.0479, decode.d7.loss_cls: 0.6957, decode.d7.loss_mask: 0.7432, decode.d7.loss_dice: 1.0551, decode.d8.loss_cls: 0.6984, decode.d8.loss_mask: 0.7419, decode.d8.loss_dice: 1.0560, loss: 26.4281, grad_norm: 48.9431 2023-11-12 00:36:43,052 - mmseg - INFO - Iter [12950/160000] lr: 9.191e-05, eta: 21:05:00, time: 0.491, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6968, decode.loss_mask: 0.7477, decode.loss_dice: 1.0627, decode.d0.loss_cls: 1.6594, decode.d0.loss_mask: 0.7900, decode.d0.loss_dice: 1.2204, decode.d1.loss_cls: 0.8163, decode.d1.loss_mask: 0.7779, decode.d1.loss_dice: 1.1419, decode.d2.loss_cls: 0.7426, decode.d2.loss_mask: 0.7625, decode.d2.loss_dice: 1.1054, decode.d3.loss_cls: 0.7220, decode.d3.loss_mask: 0.7558, decode.d3.loss_dice: 1.0720, decode.d4.loss_cls: 0.7131, decode.d4.loss_mask: 0.7538, decode.d4.loss_dice: 1.0807, decode.d5.loss_cls: 0.7163, decode.d5.loss_mask: 0.7517, decode.d5.loss_dice: 1.0729, decode.d6.loss_cls: 0.7077, decode.d6.loss_mask: 0.7521, decode.d6.loss_dice: 1.0639, decode.d7.loss_cls: 0.7022, decode.d7.loss_mask: 0.7482, decode.d7.loss_dice: 1.0658, decode.d8.loss_cls: 0.7018, decode.d8.loss_mask: 0.7465, decode.d8.loss_dice: 1.0699, loss: 26.7201, grad_norm: 49.9603 2023-11-12 00:37:07,470 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 00:37:07,471 - mmseg - INFO - Iter [13000/160000] lr: 9.188e-05, eta: 21:04:18, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6632, decode.loss_mask: 0.7305, decode.loss_dice: 1.0409, decode.d0.loss_cls: 1.6495, decode.d0.loss_mask: 0.7641, decode.d0.loss_dice: 1.1884, decode.d1.loss_cls: 0.7707, decode.d1.loss_mask: 0.7562, decode.d1.loss_dice: 1.1169, decode.d2.loss_cls: 0.7073, decode.d2.loss_mask: 0.7366, decode.d2.loss_dice: 1.0834, decode.d3.loss_cls: 0.6868, decode.d3.loss_mask: 0.7288, decode.d3.loss_dice: 1.0576, decode.d4.loss_cls: 0.6737, decode.d4.loss_mask: 0.7292, decode.d4.loss_dice: 1.0621, decode.d5.loss_cls: 0.6717, decode.d5.loss_mask: 0.7312, decode.d5.loss_dice: 1.0499, decode.d6.loss_cls: 0.6651, decode.d6.loss_mask: 0.7326, decode.d6.loss_dice: 1.0465, decode.d7.loss_cls: 0.6634, decode.d7.loss_mask: 0.7278, decode.d7.loss_dice: 1.0515, decode.d8.loss_cls: 0.6637, decode.d8.loss_mask: 0.7325, decode.d8.loss_dice: 1.0511, loss: 25.9328, grad_norm: 47.0919 2023-11-12 00:37:31,606 - mmseg - INFO - Iter [13050/160000] lr: 9.184e-05, eta: 21:03:34, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6725, decode.loss_mask: 0.7130, decode.loss_dice: 1.0385, decode.d0.loss_cls: 1.6483, decode.d0.loss_mask: 0.7527, decode.d0.loss_dice: 1.1805, decode.d1.loss_cls: 0.7971, decode.d1.loss_mask: 0.7392, decode.d1.loss_dice: 1.0969, decode.d2.loss_cls: 0.7208, decode.d2.loss_mask: 0.7211, decode.d2.loss_dice: 1.0736, decode.d3.loss_cls: 0.7024, decode.d3.loss_mask: 0.7118, decode.d3.loss_dice: 1.0465, decode.d4.loss_cls: 0.6883, decode.d4.loss_mask: 0.7138, decode.d4.loss_dice: 1.0424, decode.d5.loss_cls: 0.6786, decode.d5.loss_mask: 0.7206, decode.d5.loss_dice: 1.0380, decode.d6.loss_cls: 0.6704, decode.d6.loss_mask: 0.7201, decode.d6.loss_dice: 1.0318, decode.d7.loss_cls: 0.6702, decode.d7.loss_mask: 0.7184, decode.d7.loss_dice: 1.0370, decode.d8.loss_cls: 0.6641, decode.d8.loss_mask: 0.7189, decode.d8.loss_dice: 1.0412, loss: 25.7689, grad_norm: 50.8250 2023-11-12 00:37:56,250 - mmseg - INFO - Iter [13100/160000] lr: 9.181e-05, eta: 21:02:55, time: 0.493, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7006, decode.loss_mask: 0.7253, decode.loss_dice: 1.0550, decode.d0.loss_cls: 1.6869, decode.d0.loss_mask: 0.7580, decode.d0.loss_dice: 1.2005, decode.d1.loss_cls: 0.8175, decode.d1.loss_mask: 0.7454, decode.d1.loss_dice: 1.1294, decode.d2.loss_cls: 0.7473, decode.d2.loss_mask: 0.7284, decode.d2.loss_dice: 1.0800, decode.d3.loss_cls: 0.7232, decode.d3.loss_mask: 0.7265, decode.d3.loss_dice: 1.0612, decode.d4.loss_cls: 0.7195, decode.d4.loss_mask: 0.7238, decode.d4.loss_dice: 1.0611, decode.d5.loss_cls: 0.7102, decode.d5.loss_mask: 0.7208, decode.d5.loss_dice: 1.0619, decode.d6.loss_cls: 0.7043, decode.d6.loss_mask: 0.7192, decode.d6.loss_dice: 1.0519, decode.d7.loss_cls: 0.7019, decode.d7.loss_mask: 0.7206, decode.d7.loss_dice: 1.0523, decode.d8.loss_cls: 0.6965, decode.d8.loss_mask: 0.7233, decode.d8.loss_dice: 1.0606, loss: 26.3130, grad_norm: 48.5703 2023-11-12 00:38:20,645 - mmseg - INFO - Iter [13150/160000] lr: 9.178e-05, eta: 21:02:14, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.7041, decode.loss_mask: 0.6941, decode.loss_dice: 1.0450, decode.d0.loss_cls: 1.7285, decode.d0.loss_mask: 0.7446, decode.d0.loss_dice: 1.2010, decode.d1.loss_cls: 0.8355, decode.d1.loss_mask: 0.7236, decode.d1.loss_dice: 1.1195, decode.d2.loss_cls: 0.7653, decode.d2.loss_mask: 0.7059, decode.d2.loss_dice: 1.0814, decode.d3.loss_cls: 0.7449, decode.d3.loss_mask: 0.7009, decode.d3.loss_dice: 1.0532, decode.d4.loss_cls: 0.7420, decode.d4.loss_mask: 0.6999, decode.d4.loss_dice: 1.0493, decode.d5.loss_cls: 0.7316, decode.d5.loss_mask: 0.6968, decode.d5.loss_dice: 1.0561, decode.d6.loss_cls: 0.7246, decode.d6.loss_mask: 0.6960, decode.d6.loss_dice: 1.0416, decode.d7.loss_cls: 0.7156, decode.d7.loss_mask: 0.6970, decode.d7.loss_dice: 1.0474, decode.d8.loss_cls: 0.7158, decode.d8.loss_mask: 0.7005, decode.d8.loss_dice: 1.0427, loss: 26.2046, grad_norm: 46.9508 2023-11-12 00:38:44,872 - mmseg - INFO - Iter [13200/160000] lr: 9.175e-05, eta: 21:01:31, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6764, decode.loss_mask: 0.7551, decode.loss_dice: 1.0740, decode.d0.loss_cls: 1.6313, decode.d0.loss_mask: 0.7918, decode.d0.loss_dice: 1.2223, decode.d1.loss_cls: 0.8014, decode.d1.loss_mask: 0.7808, decode.d1.loss_dice: 1.1463, decode.d2.loss_cls: 0.7371, decode.d2.loss_mask: 0.7688, decode.d2.loss_dice: 1.1031, decode.d3.loss_cls: 0.7062, decode.d3.loss_mask: 0.7629, decode.d3.loss_dice: 1.0844, decode.d4.loss_cls: 0.7060, decode.d4.loss_mask: 0.7622, decode.d4.loss_dice: 1.0822, decode.d5.loss_cls: 0.6988, decode.d5.loss_mask: 0.7592, decode.d5.loss_dice: 1.0886, decode.d6.loss_cls: 0.6840, decode.d6.loss_mask: 0.7580, decode.d6.loss_dice: 1.0771, decode.d7.loss_cls: 0.6802, decode.d7.loss_mask: 0.7599, decode.d7.loss_dice: 1.0790, decode.d8.loss_cls: 0.6726, decode.d8.loss_mask: 0.7621, decode.d8.loss_dice: 1.0844, loss: 26.6962, grad_norm: 49.3030 2023-11-12 00:39:09,136 - mmseg - INFO - Iter [13250/160000] lr: 9.172e-05, eta: 21:00:48, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6960, decode.loss_mask: 0.7551, decode.loss_dice: 1.0534, decode.d0.loss_cls: 1.6555, decode.d0.loss_mask: 0.7988, decode.d0.loss_dice: 1.1977, decode.d1.loss_cls: 0.8057, decode.d1.loss_mask: 0.7787, decode.d1.loss_dice: 1.1286, decode.d2.loss_cls: 0.7393, decode.d2.loss_mask: 0.7601, decode.d2.loss_dice: 1.0866, decode.d3.loss_cls: 0.7234, decode.d3.loss_mask: 0.7583, decode.d3.loss_dice: 1.0664, decode.d4.loss_cls: 0.7089, decode.d4.loss_mask: 0.7589, decode.d4.loss_dice: 1.0702, decode.d5.loss_cls: 0.7069, decode.d5.loss_mask: 0.7529, decode.d5.loss_dice: 1.0589, decode.d6.loss_cls: 0.6933, decode.d6.loss_mask: 0.7529, decode.d6.loss_dice: 1.0559, decode.d7.loss_cls: 0.6936, decode.d7.loss_mask: 0.7558, decode.d7.loss_dice: 1.0573, decode.d8.loss_cls: 0.6956, decode.d8.loss_mask: 0.7534, decode.d8.loss_dice: 1.0549, loss: 26.5732, grad_norm: 50.1042 2023-11-12 00:39:33,201 - mmseg - INFO - Iter [13300/160000] lr: 9.169e-05, eta: 21:00:03, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.7112, decode.loss_mask: 0.7222, decode.loss_dice: 1.0702, decode.d0.loss_cls: 1.6735, decode.d0.loss_mask: 0.7539, decode.d0.loss_dice: 1.2015, decode.d1.loss_cls: 0.8209, decode.d1.loss_mask: 0.7452, decode.d1.loss_dice: 1.1463, decode.d2.loss_cls: 0.7519, decode.d2.loss_mask: 0.7321, decode.d2.loss_dice: 1.1048, decode.d3.loss_cls: 0.7342, decode.d3.loss_mask: 0.7214, decode.d3.loss_dice: 1.0726, decode.d4.loss_cls: 0.7235, decode.d4.loss_mask: 0.7248, decode.d4.loss_dice: 1.0764, decode.d5.loss_cls: 0.7169, decode.d5.loss_mask: 0.7229, decode.d5.loss_dice: 1.0696, decode.d6.loss_cls: 0.7097, decode.d6.loss_mask: 0.7242, decode.d6.loss_dice: 1.0670, decode.d7.loss_cls: 0.7065, decode.d7.loss_mask: 0.7267, decode.d7.loss_dice: 1.0636, decode.d8.loss_cls: 0.7090, decode.d8.loss_mask: 0.7209, decode.d8.loss_dice: 1.0686, loss: 26.4925, grad_norm: 48.1156 2023-11-12 00:39:57,240 - mmseg - INFO - Iter [13350/160000] lr: 9.166e-05, eta: 20:59:19, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6936, decode.loss_mask: 0.7006, decode.loss_dice: 1.0670, decode.d0.loss_cls: 1.6688, decode.d0.loss_mask: 0.7308, decode.d0.loss_dice: 1.2076, decode.d1.loss_cls: 0.8158, decode.d1.loss_mask: 0.7309, decode.d1.loss_dice: 1.1386, decode.d2.loss_cls: 0.7388, decode.d2.loss_mask: 0.7152, decode.d2.loss_dice: 1.1035, decode.d3.loss_cls: 0.7132, decode.d3.loss_mask: 0.7112, decode.d3.loss_dice: 1.0690, decode.d4.loss_cls: 0.7009, decode.d4.loss_mask: 0.7110, decode.d4.loss_dice: 1.0716, decode.d5.loss_cls: 0.7017, decode.d5.loss_mask: 0.7113, decode.d5.loss_dice: 1.0728, decode.d6.loss_cls: 0.6917, decode.d6.loss_mask: 0.7111, decode.d6.loss_dice: 1.0689, decode.d7.loss_cls: 0.6879, decode.d7.loss_mask: 0.7094, decode.d7.loss_dice: 1.0697, decode.d8.loss_cls: 0.6904, decode.d8.loss_mask: 0.7023, decode.d8.loss_dice: 1.0728, loss: 26.1779, grad_norm: 47.5970 2023-11-12 00:40:21,192 - mmseg - INFO - Iter [13400/160000] lr: 9.163e-05, eta: 20:58:33, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.7135, decode.loss_mask: 0.7524, decode.loss_dice: 1.0774, decode.d0.loss_cls: 1.6838, decode.d0.loss_mask: 0.7950, decode.d0.loss_dice: 1.2226, decode.d1.loss_cls: 0.8174, decode.d1.loss_mask: 0.7841, decode.d1.loss_dice: 1.1632, decode.d2.loss_cls: 0.7516, decode.d2.loss_mask: 0.7681, decode.d2.loss_dice: 1.1129, decode.d3.loss_cls: 0.7319, decode.d3.loss_mask: 0.7592, decode.d3.loss_dice: 1.0845, decode.d4.loss_cls: 0.7161, decode.d4.loss_mask: 0.7612, decode.d4.loss_dice: 1.0885, decode.d5.loss_cls: 0.7138, decode.d5.loss_mask: 0.7595, decode.d5.loss_dice: 1.0936, decode.d6.loss_cls: 0.7125, decode.d6.loss_mask: 0.7502, decode.d6.loss_dice: 1.0792, decode.d7.loss_cls: 0.7052, decode.d7.loss_mask: 0.7508, decode.d7.loss_dice: 1.0832, decode.d8.loss_cls: 0.7108, decode.d8.loss_mask: 0.7525, decode.d8.loss_dice: 1.0790, loss: 26.9739, grad_norm: 50.8281 2023-11-12 00:40:45,247 - mmseg - INFO - Iter [13450/160000] lr: 9.159e-05, eta: 20:57:49, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6847, decode.loss_mask: 0.7461, decode.loss_dice: 1.0757, decode.d0.loss_cls: 1.6423, decode.d0.loss_mask: 0.7847, decode.d0.loss_dice: 1.2002, decode.d1.loss_cls: 0.7930, decode.d1.loss_mask: 0.7715, decode.d1.loss_dice: 1.1498, decode.d2.loss_cls: 0.7271, decode.d2.loss_mask: 0.7609, decode.d2.loss_dice: 1.0986, decode.d3.loss_cls: 0.6989, decode.d3.loss_mask: 0.7466, decode.d3.loss_dice: 1.0785, decode.d4.loss_cls: 0.6916, decode.d4.loss_mask: 0.7512, decode.d4.loss_dice: 1.0785, decode.d5.loss_cls: 0.6926, decode.d5.loss_mask: 0.7487, decode.d5.loss_dice: 1.0736, decode.d6.loss_cls: 0.6863, decode.d6.loss_mask: 0.7490, decode.d6.loss_dice: 1.0689, decode.d7.loss_cls: 0.6821, decode.d7.loss_mask: 0.7446, decode.d7.loss_dice: 1.0691, decode.d8.loss_cls: 0.6858, decode.d8.loss_mask: 0.7460, decode.d8.loss_dice: 1.0770, loss: 26.5032, grad_norm: 57.3570 2023-11-12 00:41:09,269 - mmseg - INFO - Iter [13500/160000] lr: 9.156e-05, eta: 20:57:04, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6902, decode.loss_mask: 0.7170, decode.loss_dice: 1.0400, decode.d0.loss_cls: 1.6914, decode.d0.loss_mask: 0.7571, decode.d0.loss_dice: 1.1787, decode.d1.loss_cls: 0.7896, decode.d1.loss_mask: 0.7564, decode.d1.loss_dice: 1.1151, decode.d2.loss_cls: 0.7226, decode.d2.loss_mask: 0.7391, decode.d2.loss_dice: 1.0754, decode.d3.loss_cls: 0.7154, decode.d3.loss_mask: 0.7291, decode.d3.loss_dice: 1.0415, decode.d4.loss_cls: 0.6992, decode.d4.loss_mask: 0.7243, decode.d4.loss_dice: 1.0442, decode.d5.loss_cls: 0.6930, decode.d5.loss_mask: 0.7288, decode.d5.loss_dice: 1.0418, decode.d6.loss_cls: 0.6907, decode.d6.loss_mask: 0.7230, decode.d6.loss_dice: 1.0399, decode.d7.loss_cls: 0.6945, decode.d7.loss_mask: 0.7250, decode.d7.loss_dice: 1.0378, decode.d8.loss_cls: 0.6850, decode.d8.loss_mask: 0.7273, decode.d8.loss_dice: 1.0494, loss: 26.0623, grad_norm: 49.8629 2023-11-12 00:41:33,629 - mmseg - INFO - Iter [13550/160000] lr: 9.153e-05, eta: 20:56:24, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6987, decode.loss_mask: 0.7155, decode.loss_dice: 1.0493, decode.d0.loss_cls: 1.6675, decode.d0.loss_mask: 0.7588, decode.d0.loss_dice: 1.1947, decode.d1.loss_cls: 0.8120, decode.d1.loss_mask: 0.7482, decode.d1.loss_dice: 1.1175, decode.d2.loss_cls: 0.7481, decode.d2.loss_mask: 0.7268, decode.d2.loss_dice: 1.0772, decode.d3.loss_cls: 0.7139, decode.d3.loss_mask: 0.7218, decode.d3.loss_dice: 1.0633, decode.d4.loss_cls: 0.7053, decode.d4.loss_mask: 0.7213, decode.d4.loss_dice: 1.0685, decode.d5.loss_cls: 0.7068, decode.d5.loss_mask: 0.7175, decode.d5.loss_dice: 1.0616, decode.d6.loss_cls: 0.7015, decode.d6.loss_mask: 0.7140, decode.d6.loss_dice: 1.0546, decode.d7.loss_cls: 0.6951, decode.d7.loss_mask: 0.7151, decode.d7.loss_dice: 1.0540, decode.d8.loss_cls: 0.6945, decode.d8.loss_mask: 0.7187, decode.d8.loss_dice: 1.0555, loss: 26.1973, grad_norm: 46.0207 2023-11-12 00:41:57,956 - mmseg - INFO - Iter [13600/160000] lr: 9.150e-05, eta: 20:55:43, time: 0.487, data_time: 0.012, memory: 41146, decode.loss_cls: 0.7439, decode.loss_mask: 0.7328, decode.loss_dice: 1.0903, decode.d0.loss_cls: 1.7240, decode.d0.loss_mask: 0.7672, decode.d0.loss_dice: 1.2355, decode.d1.loss_cls: 0.8721, decode.d1.loss_mask: 0.7584, decode.d1.loss_dice: 1.1581, decode.d2.loss_cls: 0.7869, decode.d2.loss_mask: 0.7410, decode.d2.loss_dice: 1.1264, decode.d3.loss_cls: 0.7708, decode.d3.loss_mask: 0.7371, decode.d3.loss_dice: 1.0921, decode.d4.loss_cls: 0.7606, decode.d4.loss_mask: 0.7337, decode.d4.loss_dice: 1.0987, decode.d5.loss_cls: 0.7556, decode.d5.loss_mask: 0.7305, decode.d5.loss_dice: 1.0886, decode.d6.loss_cls: 0.7518, decode.d6.loss_mask: 0.7268, decode.d6.loss_dice: 1.0820, decode.d7.loss_cls: 0.7490, decode.d7.loss_mask: 0.7291, decode.d7.loss_dice: 1.0855, decode.d8.loss_cls: 0.7464, decode.d8.loss_mask: 0.7311, decode.d8.loss_dice: 1.0880, loss: 27.1942, grad_norm: 46.4002 2023-11-12 00:42:22,462 - mmseg - INFO - Iter [13650/160000] lr: 9.147e-05, eta: 20:55:04, time: 0.490, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6904, decode.loss_mask: 0.7297, decode.loss_dice: 1.0643, decode.d0.loss_cls: 1.6811, decode.d0.loss_mask: 0.7760, decode.d0.loss_dice: 1.2126, decode.d1.loss_cls: 0.8125, decode.d1.loss_mask: 0.7595, decode.d1.loss_dice: 1.1432, decode.d2.loss_cls: 0.7502, decode.d2.loss_mask: 0.7402, decode.d2.loss_dice: 1.0949, decode.d3.loss_cls: 0.7250, decode.d3.loss_mask: 0.7339, decode.d3.loss_dice: 1.0747, decode.d4.loss_cls: 0.7102, decode.d4.loss_mask: 0.7312, decode.d4.loss_dice: 1.0736, decode.d5.loss_cls: 0.7101, decode.d5.loss_mask: 0.7278, decode.d5.loss_dice: 1.0764, decode.d6.loss_cls: 0.6993, decode.d6.loss_mask: 0.7265, decode.d6.loss_dice: 1.0588, decode.d7.loss_cls: 0.7005, decode.d7.loss_mask: 0.7278, decode.d7.loss_dice: 1.0669, decode.d8.loss_cls: 0.6981, decode.d8.loss_mask: 0.7255, decode.d8.loss_dice: 1.0764, loss: 26.4975, grad_norm: 49.2341 2023-11-12 00:42:46,593 - mmseg - INFO - Iter [13700/160000] lr: 9.144e-05, eta: 20:54:21, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6828, decode.loss_mask: 0.7476, decode.loss_dice: 1.0877, decode.d0.loss_cls: 1.6988, decode.d0.loss_mask: 0.7813, decode.d0.loss_dice: 1.2143, decode.d1.loss_cls: 0.7944, decode.d1.loss_mask: 0.7723, decode.d1.loss_dice: 1.1583, decode.d2.loss_cls: 0.7269, decode.d2.loss_mask: 0.7505, decode.d2.loss_dice: 1.1268, decode.d3.loss_cls: 0.7082, decode.d3.loss_mask: 0.7457, decode.d3.loss_dice: 1.0908, decode.d4.loss_cls: 0.7028, decode.d4.loss_mask: 0.7496, decode.d4.loss_dice: 1.0953, decode.d5.loss_cls: 0.6961, decode.d5.loss_mask: 0.7476, decode.d5.loss_dice: 1.0902, decode.d6.loss_cls: 0.6937, decode.d6.loss_mask: 0.7466, decode.d6.loss_dice: 1.0856, decode.d7.loss_cls: 0.6903, decode.d7.loss_mask: 0.7444, decode.d7.loss_dice: 1.0855, decode.d8.loss_cls: 0.6850, decode.d8.loss_mask: 0.7446, decode.d8.loss_dice: 1.0923, loss: 26.7361, grad_norm: 47.2642 2023-11-12 00:43:10,784 - mmseg - INFO - Iter [13750/160000] lr: 9.141e-05, eta: 20:53:39, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6554, decode.loss_mask: 0.7320, decode.loss_dice: 1.0431, decode.d0.loss_cls: 1.5914, decode.d0.loss_mask: 0.7711, decode.d0.loss_dice: 1.1690, decode.d1.loss_cls: 0.7552, decode.d1.loss_mask: 0.7605, decode.d1.loss_dice: 1.1215, decode.d2.loss_cls: 0.6995, decode.d2.loss_mask: 0.7449, decode.d2.loss_dice: 1.0742, decode.d3.loss_cls: 0.6717, decode.d3.loss_mask: 0.7331, decode.d3.loss_dice: 1.0493, decode.d4.loss_cls: 0.6737, decode.d4.loss_mask: 0.7357, decode.d4.loss_dice: 1.0513, decode.d5.loss_cls: 0.6667, decode.d5.loss_mask: 0.7340, decode.d5.loss_dice: 1.0480, decode.d6.loss_cls: 0.6598, decode.d6.loss_mask: 0.7358, decode.d6.loss_dice: 1.0465, decode.d7.loss_cls: 0.6524, decode.d7.loss_mask: 0.7373, decode.d7.loss_dice: 1.0493, decode.d8.loss_cls: 0.6519, decode.d8.loss_mask: 0.7395, decode.d8.loss_dice: 1.0514, loss: 25.8051, grad_norm: 47.8379 2023-11-12 00:43:35,036 - mmseg - INFO - Iter [13800/160000] lr: 9.138e-05, eta: 20:52:58, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6812, decode.loss_mask: 0.7299, decode.loss_dice: 1.0360, decode.d0.loss_cls: 1.6405, decode.d0.loss_mask: 0.7689, decode.d0.loss_dice: 1.1850, decode.d1.loss_cls: 0.8060, decode.d1.loss_mask: 0.7524, decode.d1.loss_dice: 1.1008, decode.d2.loss_cls: 0.7327, decode.d2.loss_mask: 0.7397, decode.d2.loss_dice: 1.0653, decode.d3.loss_cls: 0.7055, decode.d3.loss_mask: 0.7331, decode.d3.loss_dice: 1.0401, decode.d4.loss_cls: 0.7032, decode.d4.loss_mask: 0.7309, decode.d4.loss_dice: 1.0444, decode.d5.loss_cls: 0.6995, decode.d5.loss_mask: 0.7299, decode.d5.loss_dice: 1.0424, decode.d6.loss_cls: 0.6816, decode.d6.loss_mask: 0.7299, decode.d6.loss_dice: 1.0389, decode.d7.loss_cls: 0.6805, decode.d7.loss_mask: 0.7283, decode.d7.loss_dice: 1.0390, decode.d8.loss_cls: 0.6838, decode.d8.loss_mask: 0.7294, decode.d8.loss_dice: 1.0366, loss: 26.0155, grad_norm: 52.8502 2023-11-12 00:43:59,058 - mmseg - INFO - Iter [13850/160000] lr: 9.134e-05, eta: 20:52:14, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6684, decode.loss_mask: 0.7418, decode.loss_dice: 1.0679, decode.d0.loss_cls: 1.6212, decode.d0.loss_mask: 0.7683, decode.d0.loss_dice: 1.2044, decode.d1.loss_cls: 0.7820, decode.d1.loss_mask: 0.7638, decode.d1.loss_dice: 1.1451, decode.d2.loss_cls: 0.7182, decode.d2.loss_mask: 0.7514, decode.d2.loss_dice: 1.0972, decode.d3.loss_cls: 0.7010, decode.d3.loss_mask: 0.7407, decode.d3.loss_dice: 1.0789, decode.d4.loss_cls: 0.6903, decode.d4.loss_mask: 0.7362, decode.d4.loss_dice: 1.0787, decode.d5.loss_cls: 0.6968, decode.d5.loss_mask: 0.7330, decode.d5.loss_dice: 1.0678, decode.d6.loss_cls: 0.6831, decode.d6.loss_mask: 0.7394, decode.d6.loss_dice: 1.0704, decode.d7.loss_cls: 0.6800, decode.d7.loss_mask: 0.7372, decode.d7.loss_dice: 1.0730, decode.d8.loss_cls: 0.6742, decode.d8.loss_mask: 0.7413, decode.d8.loss_dice: 1.0717, loss: 26.3234, grad_norm: 46.2000 2023-11-12 00:44:25,438 - mmseg - INFO - Iter [13900/160000] lr: 9.131e-05, eta: 20:51:56, time: 0.528, data_time: 0.059, memory: 41146, decode.loss_cls: 0.6584, decode.loss_mask: 0.7407, decode.loss_dice: 1.0561, decode.d0.loss_cls: 1.6431, decode.d0.loss_mask: 0.7719, decode.d0.loss_dice: 1.1886, decode.d1.loss_cls: 0.7716, decode.d1.loss_mask: 0.7696, decode.d1.loss_dice: 1.1299, decode.d2.loss_cls: 0.7011, decode.d2.loss_mask: 0.7478, decode.d2.loss_dice: 1.0856, decode.d3.loss_cls: 0.6797, decode.d3.loss_mask: 0.7400, decode.d3.loss_dice: 1.0621, decode.d4.loss_cls: 0.6690, decode.d4.loss_mask: 0.7414, decode.d4.loss_dice: 1.0637, decode.d5.loss_cls: 0.6670, decode.d5.loss_mask: 0.7429, decode.d5.loss_dice: 1.0569, decode.d6.loss_cls: 0.6567, decode.d6.loss_mask: 0.7387, decode.d6.loss_dice: 1.0487, decode.d7.loss_cls: 0.6595, decode.d7.loss_mask: 0.7390, decode.d7.loss_dice: 1.0514, decode.d8.loss_cls: 0.6649, decode.d8.loss_mask: 0.7388, decode.d8.loss_dice: 1.0559, loss: 26.0408, grad_norm: 48.9754 2023-11-12 00:44:49,528 - mmseg - INFO - Iter [13950/160000] lr: 9.128e-05, eta: 20:51:13, time: 0.482, data_time: 0.011, memory: 41146, decode.loss_cls: 0.6763, decode.loss_mask: 0.7333, decode.loss_dice: 1.0329, decode.d0.loss_cls: 1.6685, decode.d0.loss_mask: 0.7791, decode.d0.loss_dice: 1.1730, decode.d1.loss_cls: 0.7923, decode.d1.loss_mask: 0.7664, decode.d1.loss_dice: 1.0969, decode.d2.loss_cls: 0.7209, decode.d2.loss_mask: 0.7447, decode.d2.loss_dice: 1.0632, decode.d3.loss_cls: 0.6986, decode.d3.loss_mask: 0.7416, decode.d3.loss_dice: 1.0369, decode.d4.loss_cls: 0.6845, decode.d4.loss_mask: 0.7429, decode.d4.loss_dice: 1.0396, decode.d5.loss_cls: 0.6845, decode.d5.loss_mask: 0.7365, decode.d5.loss_dice: 1.0358, decode.d6.loss_cls: 0.6811, decode.d6.loss_mask: 0.7335, decode.d6.loss_dice: 1.0328, decode.d7.loss_cls: 0.6792, decode.d7.loss_mask: 0.7323, decode.d7.loss_dice: 1.0349, decode.d8.loss_cls: 0.6763, decode.d8.loss_mask: 0.7305, decode.d8.loss_dice: 1.0340, loss: 25.9831, grad_norm: 48.3448 2023-11-12 00:45:13,879 - mmseg - INFO - Saving checkpoint at 14000 iterations 2023-11-12 00:45:17,725 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 00:45:17,725 - mmseg - INFO - Iter [14000/160000] lr: 9.125e-05, eta: 20:51:13, time: 0.564, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6776, decode.loss_mask: 0.7401, decode.loss_dice: 1.0526, decode.d0.loss_cls: 1.6524, decode.d0.loss_mask: 0.7741, decode.d0.loss_dice: 1.1917, decode.d1.loss_cls: 0.7757, decode.d1.loss_mask: 0.7686, decode.d1.loss_dice: 1.1432, decode.d2.loss_cls: 0.7212, decode.d2.loss_mask: 0.7507, decode.d2.loss_dice: 1.0915, decode.d3.loss_cls: 0.6990, decode.d3.loss_mask: 0.7424, decode.d3.loss_dice: 1.0652, decode.d4.loss_cls: 0.6863, decode.d4.loss_mask: 0.7420, decode.d4.loss_dice: 1.0706, decode.d5.loss_cls: 0.6866, decode.d5.loss_mask: 0.7432, decode.d5.loss_dice: 1.0600, decode.d6.loss_cls: 0.6806, decode.d6.loss_mask: 0.7417, decode.d6.loss_dice: 1.0554, decode.d7.loss_cls: 0.6761, decode.d7.loss_mask: 0.7384, decode.d7.loss_dice: 1.0547, decode.d8.loss_cls: 0.6770, decode.d8.loss_mask: 0.7405, decode.d8.loss_dice: 1.0591, loss: 26.2581, grad_norm: 50.0519 2023-11-12 00:45:40,077 - mmseg - INFO - per class results: 2023-11-12 00:45:40,083 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.39 | 86.7 | | building | 81.93 | 90.5 | | sky | 94.61 | 96.95 | | floor | 82.4 | 89.35 | | tree | 75.66 | 89.87 | | ceiling | 84.56 | 92.24 | | road | 83.04 | 89.77 | | bed | 88.07 | 96.35 | | windowpane | 62.58 | 80.57 | | grass | 65.23 | 88.23 | | cabinet | 62.06 | 74.76 | | sidewalk | 62.95 | 80.18 | | person | 83.91 | 90.25 | | earth | 36.6 | 48.38 | | door | 46.4 | 62.71 | | table | 59.52 | 79.15 | | mountain | 59.33 | 78.28 | | plant | 54.31 | 65.36 | | curtain | 78.23 | 88.78 | | chair | 57.8 | 71.27 | | car | 86.4 | 92.2 | | water | 58.61 | 84.86 | | painting | 66.47 | 88.2 | | sofa | 61.73 | 83.13 | | shelf | 39.93 | 57.87 | | house | 45.07 | 64.79 | | sea | 45.95 | 51.85 | | mirror | 66.24 | 79.66 | | rug | 70.88 | 80.28 | | field | 24.71 | 39.77 | | armchair | 36.16 | 51.4 | | seat | 59.24 | 75.3 | | fence | 48.4 | 70.43 | | desk | 40.98 | 60.29 | | rock | 40.9 | 61.62 | | wardrobe | 52.34 | 62.08 | | lamp | 65.85 | 82.8 | | bathtub | 79.02 | 82.29 | | railing | 33.75 | 63.8 | | cushion | 61.0 | 75.56 | | base | 20.47 | 31.13 | | box | 24.02 | 36.96 | | column | 45.7 | 65.41 | | signboard | 38.77 | 52.37 | | chest of drawers | 48.3 | 75.52 | | counter | 34.68 | 36.82 | | sand | 31.27 | 39.84 | | sink | 76.14 | 82.37 | | skyscraper | 27.56 | 29.93 | | fireplace | 69.93 | 88.81 | | refrigerator | 73.39 | 89.84 | | grandstand | 44.02 | 69.91 | | path | 18.85 | 32.3 | | stairs | 26.98 | 37.17 | | runway | 48.58 | 55.6 | | case | 44.69 | 85.82 | | pool table | 91.8 | 97.04 | | pillow | 58.61 | 71.37 | | screen door | 72.92 | 83.55 | | stairway | 27.63 | 57.11 | | river | 12.21 | 15.75 | | bridge | 81.36 | 87.47 | | bookcase | 30.64 | 45.38 | | blind | 38.35 | 43.18 | | coffee table | 59.04 | 82.88 | | toilet | 87.83 | 91.6 | | flower | 35.76 | 62.64 | | book | 51.42 | 72.81 | | hill | 7.06 | 7.38 | | bench | 51.25 | 76.2 | | countertop | 50.8 | 68.65 | | stove | 75.06 | 91.23 | | palm | 52.9 | 79.69 | | kitchen island | 28.2 | 61.34 | | computer | 71.43 | 83.35 | | swivel chair | 38.34 | 69.88 | | boat | 73.24 | 89.64 | | bar | 17.65 | 20.95 | | arcade machine | 65.91 | 81.81 | | hovel | 11.98 | 13.76 | | bus | 90.78 | 96.6 | | towel | 72.59 | 84.31 | | light | 60.69 | 77.95 | | truck | 38.09 | 60.12 | | tower | 16.0 | 19.58 | | chandelier | 61.29 | 85.42 | | awning | 34.71 | 44.02 | | streetlight | 32.84 | 56.27 | | booth | 26.76 | 28.89 | | television receiver | 63.69 | 74.22 | | airplane | 57.37 | 75.42 | | dirt track | 0.0 | 0.0 | | apparel | 30.98 | 46.39 | | pole | 21.89 | 33.69 | | land | 0.06 | 0.06 | | bannister | 11.0 | 14.81 | | escalator | 17.59 | 18.6 | | ottoman | 42.8 | 67.36 | | bottle | 23.66 | 31.81 | | buffet | 46.88 | 68.48 | | poster | 12.77 | 29.75 | | stage | 17.65 | 24.3 | | van | 46.47 | 65.54 | | ship | 0.15 | 0.15 | | fountain | 14.77 | 17.13 | | conveyer belt | 51.68 | 64.32 | | canopy | 20.59 | 26.66 | | washer | 59.73 | 75.03 | | plaything | 43.79 | 61.83 | | swimming pool | 40.13 | 57.79 | | stool | 38.77 | 61.77 | | barrel | 4.47 | 74.16 | | basket | 35.74 | 47.96 | | waterfall | 54.21 | 87.69 | | tent | 75.52 | 97.64 | | bag | 17.46 | 25.56 | | minibike | 72.21 | 91.42 | | cradle | 85.69 | 98.42 | | oven | 18.6 | 53.82 | | ball | 42.9 | 71.2 | | food | 58.22 | 68.34 | | step | 18.28 | 22.48 | | tank | 0.0 | 0.0 | | trade name | 32.61 | 41.96 | | microwave | 38.66 | 42.84 | | pot | 46.65 | 58.1 | | animal | 72.16 | 84.52 | | bicycle | 65.18 | 83.55 | | lake | 0.01 | 0.01 | | dishwasher | 77.49 | 88.79 | | screen | 66.41 | 88.79 | | blanket | 14.85 | 20.06 | | sculpture | 32.05 | 88.73 | | hood | 64.73 | 71.28 | | sconce | 45.87 | 60.89 | | vase | 42.2 | 73.77 | | traffic light | 32.0 | 64.15 | | tray | 11.56 | 20.35 | | ashcan | 42.7 | 63.76 | | fan | 60.87 | 78.71 | | pier | 0.49 | 0.53 | | crt screen | 8.56 | 13.17 | | plate | 61.07 | 78.26 | | monitor | 0.28 | 0.29 | | bulletin board | 33.79 | 53.78 | | shower | 6.78 | 10.39 | | radiator | 67.97 | 80.04 | | glass | 22.61 | 26.09 | | clock | 24.52 | 45.35 | | flag | 49.15 | 56.04 | +---------------------+-------+-------+ 2023-11-12 00:45:40,083 - mmseg - INFO - Summary: 2023-11-12 00:45:40,083 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 82.71 | 46.31 | 60.76 | +-------+-------+-------+ 2023-11-12 00:45:40,083 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 00:45:40,084 - mmseg - INFO - Iter(val) [250] aAcc: 0.8271, mIoU: 0.4631, mAcc: 0.6076, IoU.wall: 0.7839, IoU.building: 0.8193, IoU.sky: 0.9461, IoU.floor: 0.8240, IoU.tree: 0.7566, IoU.ceiling: 0.8456, IoU.road: 0.8304, IoU.bed : 0.8807, IoU.windowpane: 0.6258, IoU.grass: 0.6523, IoU.cabinet: 0.6206, IoU.sidewalk: 0.6295, IoU.person: 0.8391, IoU.earth: 0.3660, IoU.door: 0.4640, IoU.table: 0.5952, IoU.mountain: 0.5933, IoU.plant: 0.5431, IoU.curtain: 0.7823, IoU.chair: 0.5780, IoU.car: 0.8640, IoU.water: 0.5861, IoU.painting: 0.6647, IoU.sofa: 0.6173, IoU.shelf: 0.3993, IoU.house: 0.4507, IoU.sea: 0.4595, IoU.mirror: 0.6624, IoU.rug: 0.7088, IoU.field: 0.2471, IoU.armchair: 0.3616, IoU.seat: 0.5924, IoU.fence: 0.4840, IoU.desk: 0.4098, IoU.rock: 0.4090, IoU.wardrobe: 0.5234, IoU.lamp: 0.6585, IoU.bathtub: 0.7902, IoU.railing: 0.3375, IoU.cushion: 0.6100, IoU.base: 0.2047, IoU.box: 0.2402, IoU.column: 0.4570, IoU.signboard: 0.3877, IoU.chest of drawers: 0.4830, IoU.counter: 0.3468, IoU.sand: 0.3127, IoU.sink: 0.7614, IoU.skyscraper: 0.2756, IoU.fireplace: 0.6993, IoU.refrigerator: 0.7339, IoU.grandstand: 0.4402, IoU.path: 0.1885, IoU.stairs: 0.2698, IoU.runway: 0.4858, IoU.case: 0.4469, IoU.pool table: 0.9180, IoU.pillow: 0.5861, IoU.screen door: 0.7292, IoU.stairway: 0.2763, IoU.river: 0.1221, IoU.bridge: 0.8136, IoU.bookcase: 0.3064, IoU.blind: 0.3835, IoU.coffee table: 0.5904, IoU.toilet: 0.8783, IoU.flower: 0.3576, IoU.book: 0.5142, IoU.hill: 0.0706, IoU.bench: 0.5125, IoU.countertop: 0.5080, IoU.stove: 0.7506, IoU.palm: 0.5290, IoU.kitchen island: 0.2820, IoU.computer: 0.7143, IoU.swivel chair: 0.3834, IoU.boat: 0.7324, IoU.bar: 0.1765, IoU.arcade machine: 0.6591, IoU.hovel: 0.1198, IoU.bus: 0.9078, IoU.towel: 0.7259, IoU.light: 0.6069, IoU.truck: 0.3809, IoU.tower: 0.1600, IoU.chandelier: 0.6129, IoU.awning: 0.3471, IoU.streetlight: 0.3284, IoU.booth: 0.2676, IoU.television receiver: 0.6369, IoU.airplane: 0.5737, IoU.dirt track: 0.0000, IoU.apparel: 0.3098, IoU.pole: 0.2189, IoU.land: 0.0006, IoU.bannister: 0.1100, IoU.escalator: 0.1759, IoU.ottoman: 0.4280, IoU.bottle: 0.2366, IoU.buffet: 0.4688, IoU.poster: 0.1277, IoU.stage: 0.1765, IoU.van: 0.4647, IoU.ship: 0.0015, IoU.fountain: 0.1477, IoU.conveyer belt: 0.5168, IoU.canopy: 0.2059, IoU.washer: 0.5973, IoU.plaything: 0.4379, IoU.swimming pool: 0.4013, IoU.stool: 0.3877, IoU.barrel: 0.0447, IoU.basket: 0.3574, IoU.waterfall: 0.5421, IoU.tent: 0.7552, IoU.bag: 0.1746, IoU.minibike: 0.7221, IoU.cradle: 0.8569, IoU.oven: 0.1860, IoU.ball: 0.4290, IoU.food: 0.5822, IoU.step: 0.1828, IoU.tank: 0.0000, IoU.trade name: 0.3261, IoU.microwave: 0.3866, IoU.pot: 0.4665, IoU.animal: 0.7216, IoU.bicycle: 0.6518, IoU.lake: 0.0001, IoU.dishwasher: 0.7749, IoU.screen: 0.6641, IoU.blanket: 0.1485, IoU.sculpture: 0.3205, IoU.hood: 0.6473, IoU.sconce: 0.4587, IoU.vase: 0.4220, IoU.traffic light: 0.3200, IoU.tray: 0.1156, IoU.ashcan: 0.4270, IoU.fan: 0.6087, IoU.pier: 0.0049, IoU.crt screen: 0.0856, IoU.plate: 0.6107, IoU.monitor: 0.0028, IoU.bulletin board: 0.3379, IoU.shower: 0.0678, IoU.radiator: 0.6797, IoU.glass: 0.2261, IoU.clock: 0.2452, IoU.flag: 0.4915, Acc.wall: 0.8670, Acc.building: 0.9050, Acc.sky: 0.9695, Acc.floor: 0.8935, Acc.tree: 0.8987, Acc.ceiling: 0.9224, Acc.road: 0.8977, Acc.bed : 0.9635, Acc.windowpane: 0.8057, Acc.grass: 0.8823, Acc.cabinet: 0.7476, Acc.sidewalk: 0.8018, Acc.person: 0.9025, Acc.earth: 0.4838, Acc.door: 0.6271, Acc.table: 0.7915, Acc.mountain: 0.7828, Acc.plant: 0.6536, Acc.curtain: 0.8878, Acc.chair: 0.7127, Acc.car: 0.9220, Acc.water: 0.8486, Acc.painting: 0.8820, Acc.sofa: 0.8313, Acc.shelf: 0.5787, Acc.house: 0.6479, Acc.sea: 0.5185, Acc.mirror: 0.7966, Acc.rug: 0.8028, Acc.field: 0.3977, Acc.armchair: 0.5140, Acc.seat: 0.7530, Acc.fence: 0.7043, Acc.desk: 0.6029, Acc.rock: 0.6162, Acc.wardrobe: 0.6208, Acc.lamp: 0.8280, Acc.bathtub: 0.8229, Acc.railing: 0.6380, Acc.cushion: 0.7556, Acc.base: 0.3113, Acc.box: 0.3696, Acc.column: 0.6541, Acc.signboard: 0.5237, Acc.chest of drawers: 0.7552, Acc.counter: 0.3682, Acc.sand: 0.3984, Acc.sink: 0.8237, Acc.skyscraper: 0.2993, Acc.fireplace: 0.8881, Acc.refrigerator: 0.8984, Acc.grandstand: 0.6991, Acc.path: 0.3230, Acc.stairs: 0.3717, Acc.runway: 0.5560, Acc.case: 0.8582, Acc.pool table: 0.9704, Acc.pillow: 0.7137, Acc.screen door: 0.8355, Acc.stairway: 0.5711, Acc.river: 0.1575, Acc.bridge: 0.8747, Acc.bookcase: 0.4538, Acc.blind: 0.4318, Acc.coffee table: 0.8288, Acc.toilet: 0.9160, Acc.flower: 0.6264, Acc.book: 0.7281, Acc.hill: 0.0738, Acc.bench: 0.7620, Acc.countertop: 0.6865, Acc.stove: 0.9123, Acc.palm: 0.7969, Acc.kitchen island: 0.6134, Acc.computer: 0.8335, Acc.swivel chair: 0.6988, Acc.boat: 0.8964, Acc.bar: 0.2095, Acc.arcade machine: 0.8181, Acc.hovel: 0.1376, Acc.bus: 0.9660, Acc.towel: 0.8431, Acc.light: 0.7795, Acc.truck: 0.6012, Acc.tower: 0.1958, Acc.chandelier: 0.8542, Acc.awning: 0.4402, Acc.streetlight: 0.5627, Acc.booth: 0.2889, Acc.television receiver: 0.7422, Acc.airplane: 0.7542, Acc.dirt track: 0.0000, Acc.apparel: 0.4639, Acc.pole: 0.3369, Acc.land: 0.0006, Acc.bannister: 0.1481, Acc.escalator: 0.1860, Acc.ottoman: 0.6736, Acc.bottle: 0.3181, Acc.buffet: 0.6848, Acc.poster: 0.2975, Acc.stage: 0.2430, Acc.van: 0.6554, Acc.ship: 0.0015, Acc.fountain: 0.1713, Acc.conveyer belt: 0.6432, Acc.canopy: 0.2666, Acc.washer: 0.7503, Acc.plaything: 0.6183, Acc.swimming pool: 0.5779, Acc.stool: 0.6177, Acc.barrel: 0.7416, Acc.basket: 0.4796, Acc.waterfall: 0.8769, Acc.tent: 0.9764, Acc.bag: 0.2556, Acc.minibike: 0.9142, Acc.cradle: 0.9842, Acc.oven: 0.5382, Acc.ball: 0.7120, Acc.food: 0.6834, Acc.step: 0.2248, Acc.tank: 0.0000, Acc.trade name: 0.4196, Acc.microwave: 0.4284, Acc.pot: 0.5810, Acc.animal: 0.8452, Acc.bicycle: 0.8355, Acc.lake: 0.0001, Acc.dishwasher: 0.8879, Acc.screen: 0.8879, Acc.blanket: 0.2006, Acc.sculpture: 0.8873, Acc.hood: 0.7128, Acc.sconce: 0.6089, Acc.vase: 0.7377, Acc.traffic light: 0.6415, Acc.tray: 0.2035, Acc.ashcan: 0.6376, Acc.fan: 0.7871, Acc.pier: 0.0053, Acc.crt screen: 0.1317, Acc.plate: 0.7826, Acc.monitor: 0.0029, Acc.bulletin board: 0.5378, Acc.shower: 0.1039, Acc.radiator: 0.8004, Acc.glass: 0.2609, Acc.clock: 0.4535, Acc.flag: 0.5604 2023-11-12 00:46:04,389 - mmseg - INFO - Iter [14050/160000] lr: 9.122e-05, eta: 20:54:25, time: 0.933, data_time: 0.459, memory: 41146, decode.loss_cls: 0.6632, decode.loss_mask: 0.7110, decode.loss_dice: 1.0387, decode.d0.loss_cls: 1.6402, decode.d0.loss_mask: 0.7501, decode.d0.loss_dice: 1.1786, decode.d1.loss_cls: 0.7759, decode.d1.loss_mask: 0.7365, decode.d1.loss_dice: 1.1185, decode.d2.loss_cls: 0.7121, decode.d2.loss_mask: 0.7171, decode.d2.loss_dice: 1.0758, decode.d3.loss_cls: 0.6947, decode.d3.loss_mask: 0.7144, decode.d3.loss_dice: 1.0530, decode.d4.loss_cls: 0.6875, decode.d4.loss_mask: 0.7138, decode.d4.loss_dice: 1.0493, decode.d5.loss_cls: 0.6763, decode.d5.loss_mask: 0.7160, decode.d5.loss_dice: 1.0477, decode.d6.loss_cls: 0.6749, decode.d6.loss_mask: 0.7107, decode.d6.loss_dice: 1.0374, decode.d7.loss_cls: 0.6674, decode.d7.loss_mask: 0.7107, decode.d7.loss_dice: 1.0441, decode.d8.loss_cls: 0.6635, decode.d8.loss_mask: 0.7134, decode.d8.loss_dice: 1.0433, loss: 25.7357, grad_norm: 44.9726 2023-11-12 00:46:29,033 - mmseg - INFO - Iter [14100/160000] lr: 9.119e-05, eta: 20:53:48, time: 0.493, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6625, decode.loss_mask: 0.7244, decode.loss_dice: 1.0571, decode.d0.loss_cls: 1.6522, decode.d0.loss_mask: 0.7543, decode.d0.loss_dice: 1.2133, decode.d1.loss_cls: 0.7894, decode.d1.loss_mask: 0.7375, decode.d1.loss_dice: 1.1303, decode.d2.loss_cls: 0.7192, decode.d2.loss_mask: 0.7223, decode.d2.loss_dice: 1.0824, decode.d3.loss_cls: 0.6907, decode.d3.loss_mask: 0.7158, decode.d3.loss_dice: 1.0605, decode.d4.loss_cls: 0.6799, decode.d4.loss_mask: 0.7177, decode.d4.loss_dice: 1.0622, decode.d5.loss_cls: 0.6802, decode.d5.loss_mask: 0.7237, decode.d5.loss_dice: 1.0695, decode.d6.loss_cls: 0.6826, decode.d6.loss_mask: 0.7130, decode.d6.loss_dice: 1.0541, decode.d7.loss_cls: 0.6754, decode.d7.loss_mask: 0.7147, decode.d7.loss_dice: 1.0639, decode.d8.loss_cls: 0.6690, decode.d8.loss_mask: 0.7166, decode.d8.loss_dice: 1.0647, loss: 25.9992, grad_norm: 49.6084 2023-11-12 00:46:54,809 - mmseg - INFO - Iter [14150/160000] lr: 9.116e-05, eta: 20:53:22, time: 0.516, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6373, decode.loss_mask: 0.7404, decode.loss_dice: 1.0182, decode.d0.loss_cls: 1.6110, decode.d0.loss_mask: 0.7824, decode.d0.loss_dice: 1.1581, decode.d1.loss_cls: 0.7403, decode.d1.loss_mask: 0.7691, decode.d1.loss_dice: 1.1051, decode.d2.loss_cls: 0.6840, decode.d2.loss_mask: 0.7509, decode.d2.loss_dice: 1.0555, decode.d3.loss_cls: 0.6776, decode.d3.loss_mask: 0.7445, decode.d3.loss_dice: 1.0384, decode.d4.loss_cls: 0.6579, decode.d4.loss_mask: 0.7389, decode.d4.loss_dice: 1.0354, decode.d5.loss_cls: 0.6527, decode.d5.loss_mask: 0.7372, decode.d5.loss_dice: 1.0267, decode.d6.loss_cls: 0.6553, decode.d6.loss_mask: 0.7353, decode.d6.loss_dice: 1.0185, decode.d7.loss_cls: 0.6507, decode.d7.loss_mask: 0.7377, decode.d7.loss_dice: 1.0133, decode.d8.loss_cls: 0.6455, decode.d8.loss_mask: 0.7329, decode.d8.loss_dice: 1.0159, loss: 25.5667, grad_norm: 48.2614 2023-11-12 00:47:19,496 - mmseg - INFO - Iter [14200/160000] lr: 9.113e-05, eta: 20:52:45, time: 0.494, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6655, decode.loss_mask: 0.7104, decode.loss_dice: 1.0150, decode.d0.loss_cls: 1.6674, decode.d0.loss_mask: 0.7494, decode.d0.loss_dice: 1.1751, decode.d1.loss_cls: 0.7835, decode.d1.loss_mask: 0.7317, decode.d1.loss_dice: 1.1082, decode.d2.loss_cls: 0.7115, decode.d2.loss_mask: 0.7183, decode.d2.loss_dice: 1.0522, decode.d3.loss_cls: 0.6875, decode.d3.loss_mask: 0.7111, decode.d3.loss_dice: 1.0267, decode.d4.loss_cls: 0.6810, decode.d4.loss_mask: 0.7056, decode.d4.loss_dice: 1.0268, decode.d5.loss_cls: 0.6857, decode.d5.loss_mask: 0.7046, decode.d5.loss_dice: 1.0208, decode.d6.loss_cls: 0.6759, decode.d6.loss_mask: 0.7095, decode.d6.loss_dice: 1.0173, decode.d7.loss_cls: 0.6765, decode.d7.loss_mask: 0.7108, decode.d7.loss_dice: 1.0115, decode.d8.loss_cls: 0.6672, decode.d8.loss_mask: 0.7083, decode.d8.loss_dice: 1.0160, loss: 25.5310, grad_norm: 47.3142 2023-11-12 00:47:43,599 - mmseg - INFO - Iter [14250/160000] lr: 9.109e-05, eta: 20:52:02, time: 0.482, data_time: 0.011, memory: 41146, decode.loss_cls: 0.6633, decode.loss_mask: 0.7263, decode.loss_dice: 1.0391, decode.d0.loss_cls: 1.6412, decode.d0.loss_mask: 0.7669, decode.d0.loss_dice: 1.1930, decode.d1.loss_cls: 0.7819, decode.d1.loss_mask: 0.7514, decode.d1.loss_dice: 1.1098, decode.d2.loss_cls: 0.7240, decode.d2.loss_mask: 0.7338, decode.d2.loss_dice: 1.0753, decode.d3.loss_cls: 0.6959, decode.d3.loss_mask: 0.7236, decode.d3.loss_dice: 1.0438, decode.d4.loss_cls: 0.6808, decode.d4.loss_mask: 0.7260, decode.d4.loss_dice: 1.0442, decode.d5.loss_cls: 0.6840, decode.d5.loss_mask: 0.7239, decode.d5.loss_dice: 1.0382, decode.d6.loss_cls: 0.6690, decode.d6.loss_mask: 0.7219, decode.d6.loss_dice: 1.0309, decode.d7.loss_cls: 0.6708, decode.d7.loss_mask: 0.7230, decode.d7.loss_dice: 1.0379, decode.d8.loss_cls: 0.6707, decode.d8.loss_mask: 0.7253, decode.d8.loss_dice: 1.0357, loss: 25.8516, grad_norm: 48.1834 2023-11-12 00:48:07,754 - mmseg - INFO - Iter [14300/160000] lr: 9.106e-05, eta: 20:51:20, time: 0.483, data_time: 0.011, memory: 41146, decode.loss_cls: 0.6828, decode.loss_mask: 0.7274, decode.loss_dice: 1.0639, decode.d0.loss_cls: 1.6642, decode.d0.loss_mask: 0.7613, decode.d0.loss_dice: 1.2068, decode.d1.loss_cls: 0.7956, decode.d1.loss_mask: 0.7539, decode.d1.loss_dice: 1.1439, decode.d2.loss_cls: 0.7287, decode.d2.loss_mask: 0.7351, decode.d2.loss_dice: 1.0919, decode.d3.loss_cls: 0.7124, decode.d3.loss_mask: 0.7225, decode.d3.loss_dice: 1.0639, decode.d4.loss_cls: 0.7064, decode.d4.loss_mask: 0.7268, decode.d4.loss_dice: 1.0655, decode.d5.loss_cls: 0.6959, decode.d5.loss_mask: 0.7214, decode.d5.loss_dice: 1.0676, decode.d6.loss_cls: 0.6904, decode.d6.loss_mask: 0.7198, decode.d6.loss_dice: 1.0564, decode.d7.loss_cls: 0.6872, decode.d7.loss_mask: 0.7249, decode.d7.loss_dice: 1.0618, decode.d8.loss_cls: 0.6774, decode.d8.loss_mask: 0.7281, decode.d8.loss_dice: 1.0627, loss: 26.2468, grad_norm: 50.7144 2023-11-12 00:48:31,934 - mmseg - INFO - Iter [14350/160000] lr: 9.103e-05, eta: 20:50:38, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6779, decode.loss_mask: 0.7150, decode.loss_dice: 1.0641, decode.d0.loss_cls: 1.6352, decode.d0.loss_mask: 0.7583, decode.d0.loss_dice: 1.2163, decode.d1.loss_cls: 0.7855, decode.d1.loss_mask: 0.7446, decode.d1.loss_dice: 1.1456, decode.d2.loss_cls: 0.7123, decode.d2.loss_mask: 0.7229, decode.d2.loss_dice: 1.1025, decode.d3.loss_cls: 0.6832, decode.d3.loss_mask: 0.7226, decode.d3.loss_dice: 1.0785, decode.d4.loss_cls: 0.6841, decode.d4.loss_mask: 0.7216, decode.d4.loss_dice: 1.0762, decode.d5.loss_cls: 0.6845, decode.d5.loss_mask: 0.7167, decode.d5.loss_dice: 1.0698, decode.d6.loss_cls: 0.6800, decode.d6.loss_mask: 0.7179, decode.d6.loss_dice: 1.0663, decode.d7.loss_cls: 0.6785, decode.d7.loss_mask: 0.7168, decode.d7.loss_dice: 1.0630, decode.d8.loss_cls: 0.6818, decode.d8.loss_mask: 0.7149, decode.d8.loss_dice: 1.0660, loss: 26.1026, grad_norm: 51.7404 2023-11-12 00:48:56,211 - mmseg - INFO - Iter [14400/160000] lr: 9.100e-05, eta: 20:49:57, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6882, decode.loss_mask: 0.7258, decode.loss_dice: 1.0423, decode.d0.loss_cls: 1.6820, decode.d0.loss_mask: 0.7655, decode.d0.loss_dice: 1.1836, decode.d1.loss_cls: 0.8048, decode.d1.loss_mask: 0.7531, decode.d1.loss_dice: 1.1221, decode.d2.loss_cls: 0.7394, decode.d2.loss_mask: 0.7310, decode.d2.loss_dice: 1.0699, decode.d3.loss_cls: 0.7147, decode.d3.loss_mask: 0.7233, decode.d3.loss_dice: 1.0472, decode.d4.loss_cls: 0.7076, decode.d4.loss_mask: 0.7237, decode.d4.loss_dice: 1.0472, decode.d5.loss_cls: 0.7055, decode.d5.loss_mask: 0.7264, decode.d5.loss_dice: 1.0419, decode.d6.loss_cls: 0.6961, decode.d6.loss_mask: 0.7234, decode.d6.loss_dice: 1.0353, decode.d7.loss_cls: 0.6908, decode.d7.loss_mask: 0.7207, decode.d7.loss_dice: 1.0435, decode.d8.loss_cls: 0.6880, decode.d8.loss_mask: 0.7216, decode.d8.loss_dice: 1.0398, loss: 26.1042, grad_norm: 49.0630 2023-11-12 00:49:20,853 - mmseg - INFO - Iter [14450/160000] lr: 9.097e-05, eta: 20:49:20, time: 0.493, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6614, decode.loss_mask: 0.7162, decode.loss_dice: 1.0460, decode.d0.loss_cls: 1.6272, decode.d0.loss_mask: 0.7500, decode.d0.loss_dice: 1.1942, decode.d1.loss_cls: 0.7790, decode.d1.loss_mask: 0.7416, decode.d1.loss_dice: 1.1190, decode.d2.loss_cls: 0.7139, decode.d2.loss_mask: 0.7308, decode.d2.loss_dice: 1.0807, decode.d3.loss_cls: 0.6939, decode.d3.loss_mask: 0.7205, decode.d3.loss_dice: 1.0592, decode.d4.loss_cls: 0.6857, decode.d4.loss_mask: 0.7190, decode.d4.loss_dice: 1.0557, decode.d5.loss_cls: 0.6747, decode.d5.loss_mask: 0.7196, decode.d5.loss_dice: 1.0524, decode.d6.loss_cls: 0.6723, decode.d6.loss_mask: 0.7156, decode.d6.loss_dice: 1.0529, decode.d7.loss_cls: 0.6695, decode.d7.loss_mask: 0.7121, decode.d7.loss_dice: 1.0561, decode.d8.loss_cls: 0.6616, decode.d8.loss_mask: 0.7172, decode.d8.loss_dice: 1.0561, loss: 25.8542, grad_norm: 47.0350 2023-11-12 00:49:45,006 - mmseg - INFO - Iter [14500/160000] lr: 9.094e-05, eta: 20:48:38, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6464, decode.loss_mask: 0.7235, decode.loss_dice: 1.0217, decode.d0.loss_cls: 1.6391, decode.d0.loss_mask: 0.7652, decode.d0.loss_dice: 1.1501, decode.d1.loss_cls: 0.7498, decode.d1.loss_mask: 0.7495, decode.d1.loss_dice: 1.1009, decode.d2.loss_cls: 0.6853, decode.d2.loss_mask: 0.7383, decode.d2.loss_dice: 1.0577, decode.d3.loss_cls: 0.6586, decode.d3.loss_mask: 0.7300, decode.d3.loss_dice: 1.0327, decode.d4.loss_cls: 0.6536, decode.d4.loss_mask: 0.7268, decode.d4.loss_dice: 1.0368, decode.d5.loss_cls: 0.6585, decode.d5.loss_mask: 0.7264, decode.d5.loss_dice: 1.0316, decode.d6.loss_cls: 0.6520, decode.d6.loss_mask: 0.7237, decode.d6.loss_dice: 1.0187, decode.d7.loss_cls: 0.6452, decode.d7.loss_mask: 0.7243, decode.d7.loss_dice: 1.0223, decode.d8.loss_cls: 0.6500, decode.d8.loss_mask: 0.7252, decode.d8.loss_dice: 1.0204, loss: 25.4643, grad_norm: 51.8567 2023-11-12 00:50:09,176 - mmseg - INFO - Iter [14550/160000] lr: 9.091e-05, eta: 20:47:57, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6570, decode.loss_mask: 0.7002, decode.loss_dice: 1.0472, decode.d0.loss_cls: 1.6639, decode.d0.loss_mask: 0.7306, decode.d0.loss_dice: 1.1839, decode.d1.loss_cls: 0.7829, decode.d1.loss_mask: 0.7178, decode.d1.loss_dice: 1.1189, decode.d2.loss_cls: 0.7118, decode.d2.loss_mask: 0.7085, decode.d2.loss_dice: 1.0819, decode.d3.loss_cls: 0.6860, decode.d3.loss_mask: 0.7025, decode.d3.loss_dice: 1.0602, decode.d4.loss_cls: 0.6765, decode.d4.loss_mask: 0.7046, decode.d4.loss_dice: 1.0562, decode.d5.loss_cls: 0.6760, decode.d5.loss_mask: 0.6963, decode.d5.loss_dice: 1.0617, decode.d6.loss_cls: 0.6640, decode.d6.loss_mask: 0.6994, decode.d6.loss_dice: 1.0466, decode.d7.loss_cls: 0.6591, decode.d7.loss_mask: 0.7000, decode.d7.loss_dice: 1.0551, decode.d8.loss_cls: 0.6554, decode.d8.loss_mask: 0.7017, decode.d8.loss_dice: 1.0573, loss: 25.6636, grad_norm: 47.6436 2023-11-12 00:50:33,333 - mmseg - INFO - Iter [14600/160000] lr: 9.088e-05, eta: 20:47:15, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6502, decode.loss_mask: 0.7243, decode.loss_dice: 1.0285, decode.d0.loss_cls: 1.6201, decode.d0.loss_mask: 0.7587, decode.d0.loss_dice: 1.1522, decode.d1.loss_cls: 0.7554, decode.d1.loss_mask: 0.7502, decode.d1.loss_dice: 1.0921, decode.d2.loss_cls: 0.6896, decode.d2.loss_mask: 0.7317, decode.d2.loss_dice: 1.0519, decode.d3.loss_cls: 0.6678, decode.d3.loss_mask: 0.7283, decode.d3.loss_dice: 1.0385, decode.d4.loss_cls: 0.6668, decode.d4.loss_mask: 0.7263, decode.d4.loss_dice: 1.0340, decode.d5.loss_cls: 0.6596, decode.d5.loss_mask: 0.7328, decode.d5.loss_dice: 1.0396, decode.d6.loss_cls: 0.6577, decode.d6.loss_mask: 0.7283, decode.d6.loss_dice: 1.0269, decode.d7.loss_cls: 0.6509, decode.d7.loss_mask: 0.7236, decode.d7.loss_dice: 1.0334, decode.d8.loss_cls: 0.6532, decode.d8.loss_mask: 0.7246, decode.d8.loss_dice: 1.0329, loss: 25.5304, grad_norm: 47.3881 2023-11-12 00:50:57,512 - mmseg - INFO - Iter [14650/160000] lr: 9.084e-05, eta: 20:46:34, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6857, decode.loss_mask: 0.7211, decode.loss_dice: 1.0511, decode.d0.loss_cls: 1.6666, decode.d0.loss_mask: 0.7581, decode.d0.loss_dice: 1.2111, decode.d1.loss_cls: 0.7882, decode.d1.loss_mask: 0.7525, decode.d1.loss_dice: 1.1318, decode.d2.loss_cls: 0.7288, decode.d2.loss_mask: 0.7398, decode.d2.loss_dice: 1.1032, decode.d3.loss_cls: 0.7127, decode.d3.loss_mask: 0.7311, decode.d3.loss_dice: 1.0770, decode.d4.loss_cls: 0.7026, decode.d4.loss_mask: 0.7276, decode.d4.loss_dice: 1.0718, decode.d5.loss_cls: 0.6982, decode.d5.loss_mask: 0.7276, decode.d5.loss_dice: 1.0656, decode.d6.loss_cls: 0.6915, decode.d6.loss_mask: 0.7224, decode.d6.loss_dice: 1.0517, decode.d7.loss_cls: 0.6859, decode.d7.loss_mask: 0.7257, decode.d7.loss_dice: 1.0567, decode.d8.loss_cls: 0.6861, decode.d8.loss_mask: 0.7251, decode.d8.loss_dice: 1.0571, loss: 26.2545, grad_norm: 44.0977 2023-11-12 00:51:21,615 - mmseg - INFO - Iter [14700/160000] lr: 9.081e-05, eta: 20:45:52, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.6581, decode.loss_mask: 0.7174, decode.loss_dice: 1.0312, decode.d0.loss_cls: 1.6496, decode.d0.loss_mask: 0.7517, decode.d0.loss_dice: 1.1648, decode.d1.loss_cls: 0.7714, decode.d1.loss_mask: 0.7486, decode.d1.loss_dice: 1.1132, decode.d2.loss_cls: 0.6980, decode.d2.loss_mask: 0.7315, decode.d2.loss_dice: 1.0668, decode.d3.loss_cls: 0.6817, decode.d3.loss_mask: 0.7167, decode.d3.loss_dice: 1.0559, decode.d4.loss_cls: 0.6762, decode.d4.loss_mask: 0.7231, decode.d4.loss_dice: 1.0490, decode.d5.loss_cls: 0.6679, decode.d5.loss_mask: 0.7220, decode.d5.loss_dice: 1.0422, decode.d6.loss_cls: 0.6594, decode.d6.loss_mask: 0.7232, decode.d6.loss_dice: 1.0355, decode.d7.loss_cls: 0.6594, decode.d7.loss_mask: 0.7213, decode.d7.loss_dice: 1.0389, decode.d8.loss_cls: 0.6573, decode.d8.loss_mask: 0.7213, decode.d8.loss_dice: 1.0345, loss: 25.6876, grad_norm: 49.7831 2023-11-12 00:51:45,834 - mmseg - INFO - Iter [14750/160000] lr: 9.078e-05, eta: 20:45:12, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6802, decode.loss_mask: 0.7161, decode.loss_dice: 1.0551, decode.d0.loss_cls: 1.6914, decode.d0.loss_mask: 0.7508, decode.d0.loss_dice: 1.2004, decode.d1.loss_cls: 0.8069, decode.d1.loss_mask: 0.7462, decode.d1.loss_dice: 1.1453, decode.d2.loss_cls: 0.7297, decode.d2.loss_mask: 0.7274, decode.d2.loss_dice: 1.0905, decode.d3.loss_cls: 0.7044, decode.d3.loss_mask: 0.7181, decode.d3.loss_dice: 1.0714, decode.d4.loss_cls: 0.6967, decode.d4.loss_mask: 0.7208, decode.d4.loss_dice: 1.0681, decode.d5.loss_cls: 0.6930, decode.d5.loss_mask: 0.7154, decode.d5.loss_dice: 1.0618, decode.d6.loss_cls: 0.6849, decode.d6.loss_mask: 0.7183, decode.d6.loss_dice: 1.0568, decode.d7.loss_cls: 0.6758, decode.d7.loss_mask: 0.7200, decode.d7.loss_dice: 1.0598, decode.d8.loss_cls: 0.6762, decode.d8.loss_mask: 0.7191, decode.d8.loss_dice: 1.0613, loss: 26.1621, grad_norm: 45.0086 2023-11-12 00:52:09,958 - mmseg - INFO - Iter [14800/160000] lr: 9.075e-05, eta: 20:44:30, time: 0.482, data_time: 0.011, memory: 41146, decode.loss_cls: 0.6820, decode.loss_mask: 0.7346, decode.loss_dice: 1.0367, decode.d0.loss_cls: 1.6662, decode.d0.loss_mask: 0.7767, decode.d0.loss_dice: 1.1734, decode.d1.loss_cls: 0.7805, decode.d1.loss_mask: 0.7634, decode.d1.loss_dice: 1.1194, decode.d2.loss_cls: 0.7263, decode.d2.loss_mask: 0.7443, decode.d2.loss_dice: 1.0687, decode.d3.loss_cls: 0.6952, decode.d3.loss_mask: 0.7423, decode.d3.loss_dice: 1.0553, decode.d4.loss_cls: 0.6917, decode.d4.loss_mask: 0.7378, decode.d4.loss_dice: 1.0524, decode.d5.loss_cls: 0.6927, decode.d5.loss_mask: 0.7335, decode.d5.loss_dice: 1.0406, decode.d6.loss_cls: 0.6812, decode.d6.loss_mask: 0.7328, decode.d6.loss_dice: 1.0350, decode.d7.loss_cls: 0.6772, decode.d7.loss_mask: 0.7297, decode.d7.loss_dice: 1.0413, decode.d8.loss_cls: 0.6764, decode.d8.loss_mask: 0.7372, decode.d8.loss_dice: 1.0469, loss: 26.0712, grad_norm: 47.0815 2023-11-12 00:52:34,362 - mmseg - INFO - Iter [14850/160000] lr: 9.072e-05, eta: 20:43:52, time: 0.488, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6737, decode.loss_mask: 0.7295, decode.loss_dice: 1.0656, decode.d0.loss_cls: 1.6519, decode.d0.loss_mask: 0.7715, decode.d0.loss_dice: 1.1950, decode.d1.loss_cls: 0.7989, decode.d1.loss_mask: 0.7588, decode.d1.loss_dice: 1.1415, decode.d2.loss_cls: 0.7174, decode.d2.loss_mask: 0.7401, decode.d2.loss_dice: 1.1016, decode.d3.loss_cls: 0.6963, decode.d3.loss_mask: 0.7322, decode.d3.loss_dice: 1.0771, decode.d4.loss_cls: 0.6918, decode.d4.loss_mask: 0.7305, decode.d4.loss_dice: 1.0790, decode.d5.loss_cls: 0.6793, decode.d5.loss_mask: 0.7285, decode.d5.loss_dice: 1.0729, decode.d6.loss_cls: 0.6784, decode.d6.loss_mask: 0.7266, decode.d6.loss_dice: 1.0683, decode.d7.loss_cls: 0.6752, decode.d7.loss_mask: 0.7301, decode.d7.loss_dice: 1.0692, decode.d8.loss_cls: 0.6775, decode.d8.loss_mask: 0.7290, decode.d8.loss_dice: 1.0619, loss: 26.2494, grad_norm: 45.9388 2023-11-12 00:52:58,656 - mmseg - INFO - Iter [14900/160000] lr: 9.069e-05, eta: 20:43:12, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6858, decode.loss_mask: 0.7076, decode.loss_dice: 1.0335, decode.d0.loss_cls: 1.6864, decode.d0.loss_mask: 0.7346, decode.d0.loss_dice: 1.1762, decode.d1.loss_cls: 0.8020, decode.d1.loss_mask: 0.7327, decode.d1.loss_dice: 1.1036, decode.d2.loss_cls: 0.7218, decode.d2.loss_mask: 0.7149, decode.d2.loss_dice: 1.0629, decode.d3.loss_cls: 0.6973, decode.d3.loss_mask: 0.7120, decode.d3.loss_dice: 1.0433, decode.d4.loss_cls: 0.6928, decode.d4.loss_mask: 0.7082, decode.d4.loss_dice: 1.0400, decode.d5.loss_cls: 0.6950, decode.d5.loss_mask: 0.7044, decode.d5.loss_dice: 1.0325, decode.d6.loss_cls: 0.6871, decode.d6.loss_mask: 0.7047, decode.d6.loss_dice: 1.0265, decode.d7.loss_cls: 0.6881, decode.d7.loss_mask: 0.7079, decode.d7.loss_dice: 1.0345, decode.d8.loss_cls: 0.6835, decode.d8.loss_mask: 0.7074, decode.d8.loss_dice: 1.0387, loss: 25.7661, grad_norm: 47.3630 2023-11-12 00:53:23,042 - mmseg - INFO - Iter [14950/160000] lr: 9.066e-05, eta: 20:42:34, time: 0.488, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6528, decode.loss_mask: 0.7179, decode.loss_dice: 1.0176, decode.d0.loss_cls: 1.6123, decode.d0.loss_mask: 0.7591, decode.d0.loss_dice: 1.1516, decode.d1.loss_cls: 0.7637, decode.d1.loss_mask: 0.7428, decode.d1.loss_dice: 1.0907, decode.d2.loss_cls: 0.6840, decode.d2.loss_mask: 0.7292, decode.d2.loss_dice: 1.0420, decode.d3.loss_cls: 0.6724, decode.d3.loss_mask: 0.7244, decode.d3.loss_dice: 1.0301, decode.d4.loss_cls: 0.6671, decode.d4.loss_mask: 0.7225, decode.d4.loss_dice: 1.0249, decode.d5.loss_cls: 0.6610, decode.d5.loss_mask: 0.7268, decode.d5.loss_dice: 1.0287, decode.d6.loss_cls: 0.6556, decode.d6.loss_mask: 0.7172, decode.d6.loss_dice: 1.0188, decode.d7.loss_cls: 0.6545, decode.d7.loss_mask: 0.7232, decode.d7.loss_dice: 1.0236, decode.d8.loss_cls: 0.6524, decode.d8.loss_mask: 0.7214, decode.d8.loss_dice: 1.0240, loss: 25.4123, grad_norm: 47.7637 2023-11-12 00:53:47,074 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 00:53:47,074 - mmseg - INFO - Iter [15000/160000] lr: 9.063e-05, eta: 20:41:52, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6406, decode.loss_mask: 0.7518, decode.loss_dice: 1.0370, decode.d0.loss_cls: 1.5892, decode.d0.loss_mask: 0.7862, decode.d0.loss_dice: 1.1660, decode.d1.loss_cls: 0.7442, decode.d1.loss_mask: 0.7819, decode.d1.loss_dice: 1.1036, decode.d2.loss_cls: 0.6812, decode.d2.loss_mask: 0.7593, decode.d2.loss_dice: 1.0645, decode.d3.loss_cls: 0.6699, decode.d3.loss_mask: 0.7463, decode.d3.loss_dice: 1.0463, decode.d4.loss_cls: 0.6549, decode.d4.loss_mask: 0.7488, decode.d4.loss_dice: 1.0556, decode.d5.loss_cls: 0.6441, decode.d5.loss_mask: 0.7541, decode.d5.loss_dice: 1.0565, decode.d6.loss_cls: 0.6399, decode.d6.loss_mask: 0.7507, decode.d6.loss_dice: 1.0339, decode.d7.loss_cls: 0.6366, decode.d7.loss_mask: 0.7480, decode.d7.loss_dice: 1.0404, decode.d8.loss_cls: 0.6401, decode.d8.loss_mask: 0.7516, decode.d8.loss_dice: 1.0350, loss: 25.7581, grad_norm: 49.2153 2023-11-12 00:54:11,341 - mmseg - INFO - Iter [15050/160000] lr: 9.059e-05, eta: 20:41:13, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6615, decode.loss_mask: 0.7119, decode.loss_dice: 1.0302, decode.d0.loss_cls: 1.6762, decode.d0.loss_mask: 0.7539, decode.d0.loss_dice: 1.1729, decode.d1.loss_cls: 0.7556, decode.d1.loss_mask: 0.7434, decode.d1.loss_dice: 1.1084, decode.d2.loss_cls: 0.7095, decode.d2.loss_mask: 0.7263, decode.d2.loss_dice: 1.0622, decode.d3.loss_cls: 0.6900, decode.d3.loss_mask: 0.7168, decode.d3.loss_dice: 1.0396, decode.d4.loss_cls: 0.6791, decode.d4.loss_mask: 0.7156, decode.d4.loss_dice: 1.0405, decode.d5.loss_cls: 0.6706, decode.d5.loss_mask: 0.7167, decode.d5.loss_dice: 1.0427, decode.d6.loss_cls: 0.6639, decode.d6.loss_mask: 0.7130, decode.d6.loss_dice: 1.0340, decode.d7.loss_cls: 0.6682, decode.d7.loss_mask: 0.7176, decode.d7.loss_dice: 1.0366, decode.d8.loss_cls: 0.6692, decode.d8.loss_mask: 0.7161, decode.d8.loss_dice: 1.0310, loss: 25.6731, grad_norm: 47.6766 2023-11-12 00:54:35,392 - mmseg - INFO - Iter [15100/160000] lr: 9.056e-05, eta: 20:40:31, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6365, decode.loss_mask: 0.7248, decode.loss_dice: 1.0460, decode.d0.loss_cls: 1.6167, decode.d0.loss_mask: 0.7553, decode.d0.loss_dice: 1.1807, decode.d1.loss_cls: 0.7576, decode.d1.loss_mask: 0.7516, decode.d1.loss_dice: 1.1190, decode.d2.loss_cls: 0.6940, decode.d2.loss_mask: 0.7343, decode.d2.loss_dice: 1.0826, decode.d3.loss_cls: 0.6704, decode.d3.loss_mask: 0.7272, decode.d3.loss_dice: 1.0519, decode.d4.loss_cls: 0.6625, decode.d4.loss_mask: 0.7252, decode.d4.loss_dice: 1.0593, decode.d5.loss_cls: 0.6498, decode.d5.loss_mask: 0.7268, decode.d5.loss_dice: 1.0566, decode.d6.loss_cls: 0.6487, decode.d6.loss_mask: 0.7231, decode.d6.loss_dice: 1.0418, decode.d7.loss_cls: 0.6401, decode.d7.loss_mask: 0.7239, decode.d7.loss_dice: 1.0469, decode.d8.loss_cls: 0.6356, decode.d8.loss_mask: 0.7213, decode.d8.loss_dice: 1.0493, loss: 25.6599, grad_norm: 51.4607 2023-11-12 00:54:59,470 - mmseg - INFO - Iter [15150/160000] lr: 9.053e-05, eta: 20:39:50, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6548, decode.loss_mask: 0.7151, decode.loss_dice: 1.0450, decode.d0.loss_cls: 1.6422, decode.d0.loss_mask: 0.7487, decode.d0.loss_dice: 1.1850, decode.d1.loss_cls: 0.7795, decode.d1.loss_mask: 0.7415, decode.d1.loss_dice: 1.1085, decode.d2.loss_cls: 0.6985, decode.d2.loss_mask: 0.7202, decode.d2.loss_dice: 1.0821, decode.d3.loss_cls: 0.6778, decode.d3.loss_mask: 0.7149, decode.d3.loss_dice: 1.0531, decode.d4.loss_cls: 0.6663, decode.d4.loss_mask: 0.7141, decode.d4.loss_dice: 1.0522, decode.d5.loss_cls: 0.6682, decode.d5.loss_mask: 0.7123, decode.d5.loss_dice: 1.0531, decode.d6.loss_cls: 0.6607, decode.d6.loss_mask: 0.7134, decode.d6.loss_dice: 1.0450, decode.d7.loss_cls: 0.6494, decode.d7.loss_mask: 0.7110, decode.d7.loss_dice: 1.0463, decode.d8.loss_cls: 0.6567, decode.d8.loss_mask: 0.7166, decode.d8.loss_dice: 1.0464, loss: 25.6785, grad_norm: 51.6571 2023-11-12 00:55:25,837 - mmseg - INFO - Iter [15200/160000] lr: 9.050e-05, eta: 20:39:31, time: 0.527, data_time: 0.059, memory: 41146, decode.loss_cls: 0.6298, decode.loss_mask: 0.7129, decode.loss_dice: 1.0210, decode.d0.loss_cls: 1.6082, decode.d0.loss_mask: 0.7341, decode.d0.loss_dice: 1.1461, decode.d1.loss_cls: 0.7489, decode.d1.loss_mask: 0.7339, decode.d1.loss_dice: 1.0854, decode.d2.loss_cls: 0.6683, decode.d2.loss_mask: 0.7186, decode.d2.loss_dice: 1.0441, decode.d3.loss_cls: 0.6543, decode.d3.loss_mask: 0.7069, decode.d3.loss_dice: 1.0280, decode.d4.loss_cls: 0.6450, decode.d4.loss_mask: 0.7103, decode.d4.loss_dice: 1.0263, decode.d5.loss_cls: 0.6406, decode.d5.loss_mask: 0.7072, decode.d5.loss_dice: 1.0183, decode.d6.loss_cls: 0.6387, decode.d6.loss_mask: 0.7078, decode.d6.loss_dice: 1.0146, decode.d7.loss_cls: 0.6347, decode.d7.loss_mask: 0.7085, decode.d7.loss_dice: 1.0142, decode.d8.loss_cls: 0.6335, decode.d8.loss_mask: 0.7078, decode.d8.loss_dice: 1.0222, loss: 25.0701, grad_norm: 44.7615 2023-11-12 00:55:50,327 - mmseg - INFO - Iter [15250/160000] lr: 9.047e-05, eta: 20:38:54, time: 0.490, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6209, decode.loss_mask: 0.7189, decode.loss_dice: 1.0270, decode.d0.loss_cls: 1.6049, decode.d0.loss_mask: 0.7489, decode.d0.loss_dice: 1.1675, decode.d1.loss_cls: 0.7403, decode.d1.loss_mask: 0.7436, decode.d1.loss_dice: 1.1092, decode.d2.loss_cls: 0.6790, decode.d2.loss_mask: 0.7222, decode.d2.loss_dice: 1.0672, decode.d3.loss_cls: 0.6564, decode.d3.loss_mask: 0.7167, decode.d3.loss_dice: 1.0352, decode.d4.loss_cls: 0.6480, decode.d4.loss_mask: 0.7154, decode.d4.loss_dice: 1.0331, decode.d5.loss_cls: 0.6412, decode.d5.loss_mask: 0.7174, decode.d5.loss_dice: 1.0307, decode.d6.loss_cls: 0.6360, decode.d6.loss_mask: 0.7146, decode.d6.loss_dice: 1.0230, decode.d7.loss_cls: 0.6268, decode.d7.loss_mask: 0.7206, decode.d7.loss_dice: 1.0341, decode.d8.loss_cls: 0.6288, decode.d8.loss_mask: 0.7171, decode.d8.loss_dice: 1.0278, loss: 25.2725, grad_norm: 48.6657 2023-11-12 00:56:14,606 - mmseg - INFO - Iter [15300/160000] lr: 9.044e-05, eta: 20:38:15, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6461, decode.loss_mask: 0.6926, decode.loss_dice: 1.0065, decode.d0.loss_cls: 1.6384, decode.d0.loss_mask: 0.7334, decode.d0.loss_dice: 1.1491, decode.d1.loss_cls: 0.7764, decode.d1.loss_mask: 0.7200, decode.d1.loss_dice: 1.0823, decode.d2.loss_cls: 0.7101, decode.d2.loss_mask: 0.7063, decode.d2.loss_dice: 1.0302, decode.d3.loss_cls: 0.6768, decode.d3.loss_mask: 0.6976, decode.d3.loss_dice: 1.0120, decode.d4.loss_cls: 0.6738, decode.d4.loss_mask: 0.6957, decode.d4.loss_dice: 1.0153, decode.d5.loss_cls: 0.6703, decode.d5.loss_mask: 0.6897, decode.d5.loss_dice: 1.0069, decode.d6.loss_cls: 0.6572, decode.d6.loss_mask: 0.6897, decode.d6.loss_dice: 1.0057, decode.d7.loss_cls: 0.6560, decode.d7.loss_mask: 0.6864, decode.d7.loss_dice: 1.0005, decode.d8.loss_cls: 0.6479, decode.d8.loss_mask: 0.6909, decode.d8.loss_dice: 1.0057, loss: 25.0695, grad_norm: 45.1448 2023-11-12 00:56:38,689 - mmseg - INFO - Iter [15350/160000] lr: 9.041e-05, eta: 20:37:35, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6652, decode.loss_mask: 0.6851, decode.loss_dice: 1.0308, decode.d0.loss_cls: 1.6739, decode.d0.loss_mask: 0.7169, decode.d0.loss_dice: 1.1683, decode.d1.loss_cls: 0.7910, decode.d1.loss_mask: 0.7138, decode.d1.loss_dice: 1.0998, decode.d2.loss_cls: 0.7290, decode.d2.loss_mask: 0.6917, decode.d2.loss_dice: 1.0553, decode.d3.loss_cls: 0.6967, decode.d3.loss_mask: 0.6853, decode.d3.loss_dice: 1.0370, decode.d4.loss_cls: 0.6895, decode.d4.loss_mask: 0.6877, decode.d4.loss_dice: 1.0374, decode.d5.loss_cls: 0.6834, decode.d5.loss_mask: 0.6869, decode.d5.loss_dice: 1.0387, decode.d6.loss_cls: 0.6782, decode.d6.loss_mask: 0.6872, decode.d6.loss_dice: 1.0363, decode.d7.loss_cls: 0.6640, decode.d7.loss_mask: 0.6883, decode.d7.loss_dice: 1.0331, decode.d8.loss_cls: 0.6672, decode.d8.loss_mask: 0.6850, decode.d8.loss_dice: 1.0302, loss: 25.4329, grad_norm: 45.9425 2023-11-12 00:57:02,702 - mmseg - INFO - Iter [15400/160000] lr: 9.038e-05, eta: 20:36:53, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6175, decode.loss_mask: 0.7094, decode.loss_dice: 1.0008, decode.d0.loss_cls: 1.5640, decode.d0.loss_mask: 0.7504, decode.d0.loss_dice: 1.1327, decode.d1.loss_cls: 0.7342, decode.d1.loss_mask: 0.7379, decode.d1.loss_dice: 1.0757, decode.d2.loss_cls: 0.6750, decode.d2.loss_mask: 0.7180, decode.d2.loss_dice: 1.0300, decode.d3.loss_cls: 0.6420, decode.d3.loss_mask: 0.7095, decode.d3.loss_dice: 1.0121, decode.d4.loss_cls: 0.6334, decode.d4.loss_mask: 0.7121, decode.d4.loss_dice: 1.0143, decode.d5.loss_cls: 0.6248, decode.d5.loss_mask: 0.7077, decode.d5.loss_dice: 1.0094, decode.d6.loss_cls: 0.6194, decode.d6.loss_mask: 0.7073, decode.d6.loss_dice: 1.0075, decode.d7.loss_cls: 0.6150, decode.d7.loss_mask: 0.7063, decode.d7.loss_dice: 1.0064, decode.d8.loss_cls: 0.6154, decode.d8.loss_mask: 0.7097, decode.d8.loss_dice: 1.0090, loss: 24.8068, grad_norm: 49.8725 2023-11-12 00:57:26,836 - mmseg - INFO - Iter [15450/160000] lr: 9.034e-05, eta: 20:36:13, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6789, decode.loss_mask: 0.7044, decode.loss_dice: 1.0377, decode.d0.loss_cls: 1.6524, decode.d0.loss_mask: 0.7443, decode.d0.loss_dice: 1.1721, decode.d1.loss_cls: 0.7827, decode.d1.loss_mask: 0.7338, decode.d1.loss_dice: 1.1042, decode.d2.loss_cls: 0.7205, decode.d2.loss_mask: 0.7171, decode.d2.loss_dice: 1.0743, decode.d3.loss_cls: 0.6985, decode.d3.loss_mask: 0.7130, decode.d3.loss_dice: 1.0500, decode.d4.loss_cls: 0.6956, decode.d4.loss_mask: 0.7144, decode.d4.loss_dice: 1.0500, decode.d5.loss_cls: 0.6937, decode.d5.loss_mask: 0.7116, decode.d5.loss_dice: 1.0475, decode.d6.loss_cls: 0.6728, decode.d6.loss_mask: 0.7097, decode.d6.loss_dice: 1.0357, decode.d7.loss_cls: 0.6696, decode.d7.loss_mask: 0.7115, decode.d7.loss_dice: 1.0414, decode.d8.loss_cls: 0.6632, decode.d8.loss_mask: 0.7099, decode.d8.loss_dice: 1.0428, loss: 25.7533, grad_norm: 45.0509 2023-11-12 00:57:51,021 - mmseg - INFO - Iter [15500/160000] lr: 9.031e-05, eta: 20:35:34, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6590, decode.loss_mask: 0.7380, decode.loss_dice: 1.0372, decode.d0.loss_cls: 1.6746, decode.d0.loss_mask: 0.7834, decode.d0.loss_dice: 1.1766, decode.d1.loss_cls: 0.7722, decode.d1.loss_mask: 0.7675, decode.d1.loss_dice: 1.1207, decode.d2.loss_cls: 0.7087, decode.d2.loss_mask: 0.7527, decode.d2.loss_dice: 1.0803, decode.d3.loss_cls: 0.6755, decode.d3.loss_mask: 0.7437, decode.d3.loss_dice: 1.0556, decode.d4.loss_cls: 0.6733, decode.d4.loss_mask: 0.7420, decode.d4.loss_dice: 1.0459, decode.d5.loss_cls: 0.6680, decode.d5.loss_mask: 0.7379, decode.d5.loss_dice: 1.0484, decode.d6.loss_cls: 0.6591, decode.d6.loss_mask: 0.7358, decode.d6.loss_dice: 1.0421, decode.d7.loss_cls: 0.6676, decode.d7.loss_mask: 0.7317, decode.d7.loss_dice: 1.0365, decode.d8.loss_cls: 0.6614, decode.d8.loss_mask: 0.7367, decode.d8.loss_dice: 1.0424, loss: 25.9747, grad_norm: 51.5922 2023-11-12 00:58:15,129 - mmseg - INFO - Iter [15550/160000] lr: 9.028e-05, eta: 20:34:54, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6387, decode.loss_mask: 0.7050, decode.loss_dice: 1.0059, decode.d0.loss_cls: 1.6210, decode.d0.loss_mask: 0.7453, decode.d0.loss_dice: 1.1371, decode.d1.loss_cls: 0.7446, decode.d1.loss_mask: 0.7369, decode.d1.loss_dice: 1.0862, decode.d2.loss_cls: 0.6750, decode.d2.loss_mask: 0.7265, decode.d2.loss_dice: 1.0449, decode.d3.loss_cls: 0.6528, decode.d3.loss_mask: 0.7139, decode.d3.loss_dice: 1.0258, decode.d4.loss_cls: 0.6503, decode.d4.loss_mask: 0.7132, decode.d4.loss_dice: 1.0216, decode.d5.loss_cls: 0.6460, decode.d5.loss_mask: 0.7132, decode.d5.loss_dice: 1.0219, decode.d6.loss_cls: 0.6386, decode.d6.loss_mask: 0.7043, decode.d6.loss_dice: 1.0063, decode.d7.loss_cls: 0.6415, decode.d7.loss_mask: 0.7063, decode.d7.loss_dice: 1.0063, decode.d8.loss_cls: 0.6327, decode.d8.loss_mask: 0.7087, decode.d8.loss_dice: 1.0170, loss: 25.0875, grad_norm: 49.9751 2023-11-12 00:58:39,309 - mmseg - INFO - Iter [15600/160000] lr: 9.025e-05, eta: 20:34:15, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6636, decode.loss_mask: 0.7120, decode.loss_dice: 1.0451, decode.d0.loss_cls: 1.6744, decode.d0.loss_mask: 0.7454, decode.d0.loss_dice: 1.1793, decode.d1.loss_cls: 0.7741, decode.d1.loss_mask: 0.7349, decode.d1.loss_dice: 1.1317, decode.d2.loss_cls: 0.7152, decode.d2.loss_mask: 0.7189, decode.d2.loss_dice: 1.0807, decode.d3.loss_cls: 0.6902, decode.d3.loss_mask: 0.7072, decode.d3.loss_dice: 1.0527, decode.d4.loss_cls: 0.6884, decode.d4.loss_mask: 0.7076, decode.d4.loss_dice: 1.0559, decode.d5.loss_cls: 0.6749, decode.d5.loss_mask: 0.7105, decode.d5.loss_dice: 1.0526, decode.d6.loss_cls: 0.6702, decode.d6.loss_mask: 0.7084, decode.d6.loss_dice: 1.0463, decode.d7.loss_cls: 0.6672, decode.d7.loss_mask: 0.7118, decode.d7.loss_dice: 1.0522, decode.d8.loss_cls: 0.6655, decode.d8.loss_mask: 0.7130, decode.d8.loss_dice: 1.0519, loss: 25.8018, grad_norm: 47.3068 2023-11-12 00:59:03,772 - mmseg - INFO - Iter [15650/160000] lr: 9.022e-05, eta: 20:33:38, time: 0.489, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6124, decode.loss_mask: 0.7138, decode.loss_dice: 1.0140, decode.d0.loss_cls: 1.5915, decode.d0.loss_mask: 0.7558, decode.d0.loss_dice: 1.1482, decode.d1.loss_cls: 0.7168, decode.d1.loss_mask: 0.7407, decode.d1.loss_dice: 1.0818, decode.d2.loss_cls: 0.6474, decode.d2.loss_mask: 0.7207, decode.d2.loss_dice: 1.0435, decode.d3.loss_cls: 0.6378, decode.d3.loss_mask: 0.7171, decode.d3.loss_dice: 1.0140, decode.d4.loss_cls: 0.6222, decode.d4.loss_mask: 0.7172, decode.d4.loss_dice: 1.0115, decode.d5.loss_cls: 0.6214, decode.d5.loss_mask: 0.7139, decode.d5.loss_dice: 1.0164, decode.d6.loss_cls: 0.6202, decode.d6.loss_mask: 0.7126, decode.d6.loss_dice: 1.0034, decode.d7.loss_cls: 0.6086, decode.d7.loss_mask: 0.7151, decode.d7.loss_dice: 1.0149, decode.d8.loss_cls: 0.6031, decode.d8.loss_mask: 0.7120, decode.d8.loss_dice: 1.0134, loss: 24.8614, grad_norm: 48.6714 2023-11-12 00:59:28,003 - mmseg - INFO - Iter [15700/160000] lr: 9.019e-05, eta: 20:33:00, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6232, decode.loss_mask: 0.7233, decode.loss_dice: 1.0341, decode.d0.loss_cls: 1.6142, decode.d0.loss_mask: 0.7553, decode.d0.loss_dice: 1.1638, decode.d1.loss_cls: 0.7438, decode.d1.loss_mask: 0.7406, decode.d1.loss_dice: 1.1087, decode.d2.loss_cls: 0.6819, decode.d2.loss_mask: 0.7341, decode.d2.loss_dice: 1.0572, decode.d3.loss_cls: 0.6536, decode.d3.loss_mask: 0.7204, decode.d3.loss_dice: 1.0359, decode.d4.loss_cls: 0.6541, decode.d4.loss_mask: 0.7213, decode.d4.loss_dice: 1.0407, decode.d5.loss_cls: 0.6503, decode.d5.loss_mask: 0.7194, decode.d5.loss_dice: 1.0397, decode.d6.loss_cls: 0.6482, decode.d6.loss_mask: 0.7153, decode.d6.loss_dice: 1.0291, decode.d7.loss_cls: 0.6335, decode.d7.loss_mask: 0.7201, decode.d7.loss_dice: 1.0378, decode.d8.loss_cls: 0.6277, decode.d8.loss_mask: 0.7197, decode.d8.loss_dice: 1.0392, loss: 25.3861, grad_norm: 50.4400 2023-11-12 00:59:52,094 - mmseg - INFO - Iter [15750/160000] lr: 9.016e-05, eta: 20:32:20, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5968, decode.loss_mask: 0.7256, decode.loss_dice: 1.0071, decode.d0.loss_cls: 1.5763, decode.d0.loss_mask: 0.7608, decode.d0.loss_dice: 1.1311, decode.d1.loss_cls: 0.7091, decode.d1.loss_mask: 0.7519, decode.d1.loss_dice: 1.0620, decode.d2.loss_cls: 0.6419, decode.d2.loss_mask: 0.7348, decode.d2.loss_dice: 1.0276, decode.d3.loss_cls: 0.6174, decode.d3.loss_mask: 0.7297, decode.d3.loss_dice: 1.0148, decode.d4.loss_cls: 0.6149, decode.d4.loss_mask: 0.7304, decode.d4.loss_dice: 1.0136, decode.d5.loss_cls: 0.6135, decode.d5.loss_mask: 0.7307, decode.d5.loss_dice: 1.0112, decode.d6.loss_cls: 0.6108, decode.d6.loss_mask: 0.7241, decode.d6.loss_dice: 0.9974, decode.d7.loss_cls: 0.6053, decode.d7.loss_mask: 0.7266, decode.d7.loss_dice: 0.9991, decode.d8.loss_cls: 0.5985, decode.d8.loss_mask: 0.7313, decode.d8.loss_dice: 1.0111, loss: 24.8055, grad_norm: 48.5972 2023-11-12 01:00:18,080 - mmseg - INFO - Iter [15800/160000] lr: 9.013e-05, eta: 20:31:58, time: 0.520, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6635, decode.loss_mask: 0.6756, decode.loss_dice: 1.0294, decode.d0.loss_cls: 1.6607, decode.d0.loss_mask: 0.7184, decode.d0.loss_dice: 1.1585, decode.d1.loss_cls: 0.7803, decode.d1.loss_mask: 0.7146, decode.d1.loss_dice: 1.1032, decode.d2.loss_cls: 0.7050, decode.d2.loss_mask: 0.6968, decode.d2.loss_dice: 1.0568, decode.d3.loss_cls: 0.6853, decode.d3.loss_mask: 0.6836, decode.d3.loss_dice: 1.0375, decode.d4.loss_cls: 0.6764, decode.d4.loss_mask: 0.6853, decode.d4.loss_dice: 1.0393, decode.d5.loss_cls: 0.6643, decode.d5.loss_mask: 0.6826, decode.d5.loss_dice: 1.0358, decode.d6.loss_cls: 0.6622, decode.d6.loss_mask: 0.6804, decode.d6.loss_dice: 1.0293, decode.d7.loss_cls: 0.6619, decode.d7.loss_mask: 0.6776, decode.d7.loss_dice: 1.0339, decode.d8.loss_cls: 0.6557, decode.d8.loss_mask: 0.6772, decode.d8.loss_dice: 1.0407, loss: 25.2718, grad_norm: 45.7026 2023-11-12 01:00:43,070 - mmseg - INFO - Iter [15850/160000] lr: 9.009e-05, eta: 20:31:26, time: 0.500, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6347, decode.loss_mask: 0.7063, decode.loss_dice: 1.0141, decode.d0.loss_cls: 1.6196, decode.d0.loss_mask: 0.7396, decode.d0.loss_dice: 1.1482, decode.d1.loss_cls: 0.7466, decode.d1.loss_mask: 0.7310, decode.d1.loss_dice: 1.0868, decode.d2.loss_cls: 0.6742, decode.d2.loss_mask: 0.7172, decode.d2.loss_dice: 1.0497, decode.d3.loss_cls: 0.6645, decode.d3.loss_mask: 0.7124, decode.d3.loss_dice: 1.0267, decode.d4.loss_cls: 0.6518, decode.d4.loss_mask: 0.7097, decode.d4.loss_dice: 1.0298, decode.d5.loss_cls: 0.6455, decode.d5.loss_mask: 0.7113, decode.d5.loss_dice: 1.0183, decode.d6.loss_cls: 0.6420, decode.d6.loss_mask: 0.7042, decode.d6.loss_dice: 1.0077, decode.d7.loss_cls: 0.6385, decode.d7.loss_mask: 0.7083, decode.d7.loss_dice: 1.0116, decode.d8.loss_cls: 0.6343, decode.d8.loss_mask: 0.7030, decode.d8.loss_dice: 1.0153, loss: 25.1032, grad_norm: 45.8845 2023-11-12 01:01:08,989 - mmseg - INFO - Iter [15900/160000] lr: 9.006e-05, eta: 20:31:03, time: 0.518, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6607, decode.loss_mask: 0.7099, decode.loss_dice: 1.0358, decode.d0.loss_cls: 1.6387, decode.d0.loss_mask: 0.7567, decode.d0.loss_dice: 1.1826, decode.d1.loss_cls: 0.7766, decode.d1.loss_mask: 0.7439, decode.d1.loss_dice: 1.1170, decode.d2.loss_cls: 0.7047, decode.d2.loss_mask: 0.7228, decode.d2.loss_dice: 1.0767, decode.d3.loss_cls: 0.6869, decode.d3.loss_mask: 0.7129, decode.d3.loss_dice: 1.0522, decode.d4.loss_cls: 0.6776, decode.d4.loss_mask: 0.7110, decode.d4.loss_dice: 1.0432, decode.d5.loss_cls: 0.6693, decode.d5.loss_mask: 0.7108, decode.d5.loss_dice: 1.0452, decode.d6.loss_cls: 0.6664, decode.d6.loss_mask: 0.7055, decode.d6.loss_dice: 1.0340, decode.d7.loss_cls: 0.6598, decode.d7.loss_mask: 0.7092, decode.d7.loss_dice: 1.0355, decode.d8.loss_cls: 0.6599, decode.d8.loss_mask: 0.7113, decode.d8.loss_dice: 1.0422, loss: 25.6588, grad_norm: 47.4687 2023-11-12 01:01:38,625 - mmseg - INFO - Iter [15950/160000] lr: 9.003e-05, eta: 20:31:14, time: 0.593, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6382, decode.loss_mask: 0.7211, decode.loss_dice: 1.0323, decode.d0.loss_cls: 1.6136, decode.d0.loss_mask: 0.7513, decode.d0.loss_dice: 1.1743, decode.d1.loss_cls: 0.7592, decode.d1.loss_mask: 0.7366, decode.d1.loss_dice: 1.1001, decode.d2.loss_cls: 0.6832, decode.d2.loss_mask: 0.7247, decode.d2.loss_dice: 1.0554, decode.d3.loss_cls: 0.6615, decode.d3.loss_mask: 0.7224, decode.d3.loss_dice: 1.0388, decode.d4.loss_cls: 0.6512, decode.d4.loss_mask: 0.7210, decode.d4.loss_dice: 1.0435, decode.d5.loss_cls: 0.6497, decode.d5.loss_mask: 0.7195, decode.d5.loss_dice: 1.0357, decode.d6.loss_cls: 0.6392, decode.d6.loss_mask: 0.7213, decode.d6.loss_dice: 1.0316, decode.d7.loss_cls: 0.6372, decode.d7.loss_mask: 0.7222, decode.d7.loss_dice: 1.0421, decode.d8.loss_cls: 0.6318, decode.d8.loss_mask: 0.7217, decode.d8.loss_dice: 1.0376, loss: 25.4180, grad_norm: 49.2220 2023-11-12 01:02:03,564 - mmseg - INFO - Saving checkpoint at 16000 iterations 2023-11-12 01:02:07,359 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 01:02:07,359 - mmseg - INFO - Iter [16000/160000] lr: 9.000e-05, eta: 20:31:16, time: 0.575, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6413, decode.loss_mask: 0.7150, decode.loss_dice: 1.0260, decode.d0.loss_cls: 1.6236, decode.d0.loss_mask: 0.7610, decode.d0.loss_dice: 1.1743, decode.d1.loss_cls: 0.7547, decode.d1.loss_mask: 0.7426, decode.d1.loss_dice: 1.1015, decode.d2.loss_cls: 0.6849, decode.d2.loss_mask: 0.7301, decode.d2.loss_dice: 1.0640, decode.d3.loss_cls: 0.6680, decode.d3.loss_mask: 0.7199, decode.d3.loss_dice: 1.0284, decode.d4.loss_cls: 0.6541, decode.d4.loss_mask: 0.7234, decode.d4.loss_dice: 1.0295, decode.d5.loss_cls: 0.6451, decode.d5.loss_mask: 0.7207, decode.d5.loss_dice: 1.0314, decode.d6.loss_cls: 0.6483, decode.d6.loss_mask: 0.7180, decode.d6.loss_dice: 1.0183, decode.d7.loss_cls: 0.6383, decode.d7.loss_mask: 0.7181, decode.d7.loss_dice: 1.0287, decode.d8.loss_cls: 0.6353, decode.d8.loss_mask: 0.7199, decode.d8.loss_dice: 1.0210, loss: 25.3856, grad_norm: 47.9213 2023-11-12 01:02:30,467 - mmseg - INFO - per class results: 2023-11-12 01:02:30,472 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.12 | 86.04 | | building | 81.01 | 91.14 | | sky | 94.74 | 97.46 | | floor | 81.52 | 88.12 | | tree | 74.93 | 86.62 | | ceiling | 85.57 | 92.49 | | road | 79.86 | 91.22 | | bed | 89.64 | 94.55 | | windowpane | 62.6 | 77.86 | | grass | 62.9 | 77.58 | | cabinet | 65.13 | 81.25 | | sidewalk | 62.86 | 75.9 | | person | 84.15 | 92.8 | | earth | 36.61 | 46.76 | | door | 48.51 | 69.24 | | table | 59.55 | 74.57 | | mountain | 56.76 | 68.69 | | plant | 54.33 | 68.46 | | curtain | 76.56 | 86.38 | | chair | 51.46 | 65.69 | | car | 85.7 | 92.72 | | water | 56.17 | 75.66 | | painting | 69.21 | 90.05 | | sofa | 63.05 | 82.73 | | shelf | 44.37 | 58.57 | | house | 42.37 | 58.07 | | sea | 63.34 | 77.67 | | mirror | 66.38 | 82.6 | | rug | 67.12 | 86.11 | | field | 30.42 | 67.53 | | armchair | 37.02 | 68.27 | | seat | 58.32 | 75.51 | | fence | 46.38 | 72.43 | | desk | 39.37 | 64.24 | | rock | 46.15 | 81.19 | | wardrobe | 51.78 | 61.79 | | lamp | 68.81 | 81.87 | | bathtub | 75.84 | 91.95 | | railing | 34.66 | 60.0 | | cushion | 61.92 | 76.81 | | base | 16.74 | 22.65 | | box | 26.22 | 37.35 | | column | 48.26 | 62.99 | | signboard | 37.19 | 59.21 | | chest of drawers | 43.63 | 54.3 | | counter | 24.82 | 27.51 | | sand | 30.01 | 45.72 | | sink | 72.37 | 82.05 | | skyscraper | 35.34 | 48.68 | | fireplace | 69.15 | 87.47 | | refrigerator | 80.07 | 86.3 | | grandstand | 58.84 | 69.89 | | path | 15.37 | 26.79 | | stairs | 13.61 | 17.07 | | runway | 43.86 | 55.53 | | case | 47.07 | 65.83 | | pool table | 93.88 | 96.74 | | pillow | 57.22 | 70.84 | | screen door | 69.16 | 94.45 | | stairway | 18.92 | 49.27 | | river | 4.82 | 5.87 | | bridge | 67.79 | 86.93 | | bookcase | 30.53 | 47.23 | | blind | 45.68 | 54.05 | | coffee table | 59.01 | 84.72 | | toilet | 81.74 | 92.04 | | flower | 38.38 | 57.92 | | book | 52.26 | 76.27 | | hill | 7.76 | 13.09 | | bench | 37.82 | 42.46 | | countertop | 56.82 | 81.49 | | stove | 77.69 | 90.9 | | palm | 55.3 | 76.86 | | kitchen island | 42.62 | 77.33 | | computer | 72.99 | 81.01 | | swivel chair | 41.38 | 62.03 | | boat | 46.71 | 54.03 | | bar | 22.56 | 37.2 | | arcade machine | 36.93 | 48.22 | | hovel | 13.08 | 15.39 | | bus | 91.91 | 96.23 | | towel | 62.58 | 87.0 | | light | 58.77 | 77.78 | | truck | 40.44 | 61.55 | | tower | 23.27 | 41.14 | | chandelier | 67.86 | 83.5 | | awning | 32.73 | 41.82 | | streetlight | 35.98 | 54.07 | | booth | 28.51 | 28.69 | | television receiver | 67.8 | 77.89 | | airplane | 55.09 | 65.89 | | dirt track | 0.0 | 0.0 | | apparel | 30.92 | 53.73 | | pole | 27.16 | 42.1 | | land | 0.72 | 0.84 | | bannister | 6.89 | 11.13 | | escalator | 18.93 | 26.56 | | ottoman | 47.12 | 76.58 | | bottle | 27.34 | 36.58 | | buffet | 29.8 | 36.1 | | poster | 14.46 | 28.7 | | stage | 14.76 | 30.47 | | van | 29.85 | 43.12 | | ship | 1.96 | 2.74 | | fountain | 23.67 | 28.8 | | conveyer belt | 49.54 | 65.36 | | canopy | 20.18 | 22.19 | | washer | 73.74 | 75.38 | | plaything | 41.77 | 60.48 | | swimming pool | 60.57 | 69.85 | | stool | 36.59 | 40.06 | | barrel | 14.45 | 73.9 | | basket | 36.99 | 49.37 | | waterfall | 53.81 | 84.24 | | tent | 95.77 | 97.34 | | bag | 21.86 | 29.48 | | minibike | 70.36 | 89.51 | | cradle | 85.92 | 98.18 | | oven | 16.71 | 44.68 | | ball | 42.34 | 68.9 | | food | 59.57 | 73.33 | | step | 20.27 | 22.98 | | tank | 23.01 | 23.99 | | trade name | 14.94 | 17.52 | | microwave | 39.26 | 44.62 | | pot | 46.73 | 60.49 | | animal | 76.0 | 80.28 | | bicycle | 60.63 | 84.34 | | lake | 0.0 | 0.0 | | dishwasher | 74.85 | 88.18 | | screen | 57.78 | 93.87 | | blanket | 20.89 | 28.3 | | sculpture | 31.13 | 89.76 | | hood | 61.72 | 71.18 | | sconce | 49.96 | 62.32 | | vase | 42.01 | 71.77 | | traffic light | 36.1 | 71.1 | | tray | 10.11 | 12.17 | | ashcan | 42.2 | 66.13 | | fan | 66.98 | 83.05 | | pier | 2.85 | 3.84 | | crt screen | 5.29 | 13.31 | | plate | 61.7 | 84.3 | | monitor | 9.38 | 13.72 | | bulletin board | 19.85 | 23.85 | | shower | 9.56 | 17.38 | | radiator | 66.13 | 80.6 | | glass | 22.33 | 24.57 | | clock | 31.97 | 39.95 | | flag | 45.25 | 62.41 | +---------------------+-------+-------+ 2023-11-12 01:02:30,473 - mmseg - INFO - Summary: 2023-11-12 01:02:30,473 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 82.41 | 46.38 | 60.5 | +-------+-------+------+ 2023-11-12 01:02:30,473 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 01:02:30,474 - mmseg - INFO - Iter(val) [250] aAcc: 0.8241, mIoU: 0.4638, mAcc: 0.6050, IoU.wall: 0.7812, IoU.building: 0.8101, IoU.sky: 0.9474, IoU.floor: 0.8152, IoU.tree: 0.7493, IoU.ceiling: 0.8557, IoU.road: 0.7986, IoU.bed : 0.8964, IoU.windowpane: 0.6260, IoU.grass: 0.6290, IoU.cabinet: 0.6513, IoU.sidewalk: 0.6286, IoU.person: 0.8415, IoU.earth: 0.3661, IoU.door: 0.4851, IoU.table: 0.5955, IoU.mountain: 0.5676, IoU.plant: 0.5433, IoU.curtain: 0.7656, IoU.chair: 0.5146, IoU.car: 0.8570, IoU.water: 0.5617, IoU.painting: 0.6921, IoU.sofa: 0.6305, IoU.shelf: 0.4437, IoU.house: 0.4237, IoU.sea: 0.6334, IoU.mirror: 0.6638, IoU.rug: 0.6712, IoU.field: 0.3042, IoU.armchair: 0.3702, IoU.seat: 0.5832, IoU.fence: 0.4638, IoU.desk: 0.3937, IoU.rock: 0.4615, IoU.wardrobe: 0.5178, IoU.lamp: 0.6881, IoU.bathtub: 0.7584, IoU.railing: 0.3466, IoU.cushion: 0.6192, IoU.base: 0.1674, IoU.box: 0.2622, IoU.column: 0.4826, IoU.signboard: 0.3719, IoU.chest of drawers: 0.4363, IoU.counter: 0.2482, IoU.sand: 0.3001, IoU.sink: 0.7237, IoU.skyscraper: 0.3534, IoU.fireplace: 0.6915, IoU.refrigerator: 0.8007, IoU.grandstand: 0.5884, IoU.path: 0.1537, IoU.stairs: 0.1361, IoU.runway: 0.4386, IoU.case: 0.4707, IoU.pool table: 0.9388, IoU.pillow: 0.5722, IoU.screen door: 0.6916, IoU.stairway: 0.1892, IoU.river: 0.0482, IoU.bridge: 0.6779, IoU.bookcase: 0.3053, IoU.blind: 0.4568, IoU.coffee table: 0.5901, IoU.toilet: 0.8174, IoU.flower: 0.3838, IoU.book: 0.5226, IoU.hill: 0.0776, IoU.bench: 0.3782, IoU.countertop: 0.5682, IoU.stove: 0.7769, IoU.palm: 0.5530, IoU.kitchen island: 0.4262, IoU.computer: 0.7299, IoU.swivel chair: 0.4138, IoU.boat: 0.4671, IoU.bar: 0.2256, IoU.arcade machine: 0.3693, IoU.hovel: 0.1308, IoU.bus: 0.9191, IoU.towel: 0.6258, IoU.light: 0.5877, IoU.truck: 0.4044, IoU.tower: 0.2327, IoU.chandelier: 0.6786, IoU.awning: 0.3273, IoU.streetlight: 0.3598, IoU.booth: 0.2851, IoU.television receiver: 0.6780, IoU.airplane: 0.5509, IoU.dirt track: 0.0000, IoU.apparel: 0.3092, IoU.pole: 0.2716, IoU.land: 0.0072, IoU.bannister: 0.0689, IoU.escalator: 0.1893, IoU.ottoman: 0.4712, IoU.bottle: 0.2734, IoU.buffet: 0.2980, IoU.poster: 0.1446, IoU.stage: 0.1476, IoU.van: 0.2985, IoU.ship: 0.0196, IoU.fountain: 0.2367, IoU.conveyer belt: 0.4954, IoU.canopy: 0.2018, IoU.washer: 0.7374, IoU.plaything: 0.4177, IoU.swimming pool: 0.6057, IoU.stool: 0.3659, IoU.barrel: 0.1445, IoU.basket: 0.3699, IoU.waterfall: 0.5381, IoU.tent: 0.9577, IoU.bag: 0.2186, IoU.minibike: 0.7036, IoU.cradle: 0.8592, IoU.oven: 0.1671, IoU.ball: 0.4234, IoU.food: 0.5957, IoU.step: 0.2027, IoU.tank: 0.2301, IoU.trade name: 0.1494, IoU.microwave: 0.3926, IoU.pot: 0.4673, IoU.animal: 0.7600, IoU.bicycle: 0.6063, IoU.lake: 0.0000, IoU.dishwasher: 0.7485, IoU.screen: 0.5778, IoU.blanket: 0.2089, IoU.sculpture: 0.3113, IoU.hood: 0.6172, IoU.sconce: 0.4996, IoU.vase: 0.4201, IoU.traffic light: 0.3610, IoU.tray: 0.1011, IoU.ashcan: 0.4220, IoU.fan: 0.6698, IoU.pier: 0.0285, IoU.crt screen: 0.0529, IoU.plate: 0.6170, IoU.monitor: 0.0938, IoU.bulletin board: 0.1985, IoU.shower: 0.0956, IoU.radiator: 0.6613, IoU.glass: 0.2233, IoU.clock: 0.3197, IoU.flag: 0.4525, Acc.wall: 0.8604, Acc.building: 0.9114, Acc.sky: 0.9746, Acc.floor: 0.8812, Acc.tree: 0.8662, Acc.ceiling: 0.9249, Acc.road: 0.9122, Acc.bed : 0.9455, Acc.windowpane: 0.7786, Acc.grass: 0.7758, Acc.cabinet: 0.8125, Acc.sidewalk: 0.7590, Acc.person: 0.9280, Acc.earth: 0.4676, Acc.door: 0.6924, Acc.table: 0.7457, Acc.mountain: 0.6869, Acc.plant: 0.6846, Acc.curtain: 0.8638, Acc.chair: 0.6569, Acc.car: 0.9272, Acc.water: 0.7566, Acc.painting: 0.9005, Acc.sofa: 0.8273, Acc.shelf: 0.5857, Acc.house: 0.5807, Acc.sea: 0.7767, Acc.mirror: 0.8260, Acc.rug: 0.8611, Acc.field: 0.6753, Acc.armchair: 0.6827, Acc.seat: 0.7551, Acc.fence: 0.7243, Acc.desk: 0.6424, Acc.rock: 0.8119, Acc.wardrobe: 0.6179, Acc.lamp: 0.8187, Acc.bathtub: 0.9195, Acc.railing: 0.6000, Acc.cushion: 0.7681, Acc.base: 0.2265, Acc.box: 0.3735, Acc.column: 0.6299, Acc.signboard: 0.5921, Acc.chest of drawers: 0.5430, Acc.counter: 0.2751, Acc.sand: 0.4572, Acc.sink: 0.8205, Acc.skyscraper: 0.4868, Acc.fireplace: 0.8747, Acc.refrigerator: 0.8630, Acc.grandstand: 0.6989, Acc.path: 0.2679, Acc.stairs: 0.1707, Acc.runway: 0.5553, Acc.case: 0.6583, Acc.pool table: 0.9674, Acc.pillow: 0.7084, Acc.screen door: 0.9445, Acc.stairway: 0.4927, Acc.river: 0.0587, Acc.bridge: 0.8693, Acc.bookcase: 0.4723, Acc.blind: 0.5405, Acc.coffee table: 0.8472, Acc.toilet: 0.9204, Acc.flower: 0.5792, Acc.book: 0.7627, Acc.hill: 0.1309, Acc.bench: 0.4246, Acc.countertop: 0.8149, Acc.stove: 0.9090, Acc.palm: 0.7686, Acc.kitchen island: 0.7733, Acc.computer: 0.8101, Acc.swivel chair: 0.6203, Acc.boat: 0.5403, Acc.bar: 0.3720, Acc.arcade machine: 0.4822, Acc.hovel: 0.1539, Acc.bus: 0.9623, Acc.towel: 0.8700, Acc.light: 0.7778, Acc.truck: 0.6155, Acc.tower: 0.4114, Acc.chandelier: 0.8350, Acc.awning: 0.4182, Acc.streetlight: 0.5407, Acc.booth: 0.2869, Acc.television receiver: 0.7789, Acc.airplane: 0.6589, Acc.dirt track: 0.0000, Acc.apparel: 0.5373, Acc.pole: 0.4210, Acc.land: 0.0084, Acc.bannister: 0.1113, Acc.escalator: 0.2656, Acc.ottoman: 0.7658, Acc.bottle: 0.3658, Acc.buffet: 0.3610, Acc.poster: 0.2870, Acc.stage: 0.3047, Acc.van: 0.4312, Acc.ship: 0.0274, Acc.fountain: 0.2880, Acc.conveyer belt: 0.6536, Acc.canopy: 0.2219, Acc.washer: 0.7538, Acc.plaything: 0.6048, Acc.swimming pool: 0.6985, Acc.stool: 0.4006, Acc.barrel: 0.7390, Acc.basket: 0.4937, Acc.waterfall: 0.8424, Acc.tent: 0.9734, Acc.bag: 0.2948, Acc.minibike: 0.8951, Acc.cradle: 0.9818, Acc.oven: 0.4468, Acc.ball: 0.6890, Acc.food: 0.7333, Acc.step: 0.2298, Acc.tank: 0.2399, Acc.trade name: 0.1752, Acc.microwave: 0.4462, Acc.pot: 0.6049, Acc.animal: 0.8028, Acc.bicycle: 0.8434, Acc.lake: 0.0000, Acc.dishwasher: 0.8818, Acc.screen: 0.9387, Acc.blanket: 0.2830, Acc.sculpture: 0.8976, Acc.hood: 0.7118, Acc.sconce: 0.6232, Acc.vase: 0.7177, Acc.traffic light: 0.7110, Acc.tray: 0.1217, Acc.ashcan: 0.6613, Acc.fan: 0.8305, Acc.pier: 0.0384, Acc.crt screen: 0.1331, Acc.plate: 0.8430, Acc.monitor: 0.1372, Acc.bulletin board: 0.2385, Acc.shower: 0.1738, Acc.radiator: 0.8060, Acc.glass: 0.2457, Acc.clock: 0.3995, Acc.flag: 0.6241 2023-11-12 01:02:55,646 - mmseg - INFO - Iter [16050/160000] lr: 8.997e-05, eta: 20:34:13, time: 0.966, data_time: 0.474, memory: 41146, decode.loss_cls: 0.6275, decode.loss_mask: 0.7305, decode.loss_dice: 1.0257, decode.d0.loss_cls: 1.6184, decode.d0.loss_mask: 0.7679, decode.d0.loss_dice: 1.1431, decode.d1.loss_cls: 0.7325, decode.d1.loss_mask: 0.7564, decode.d1.loss_dice: 1.0990, decode.d2.loss_cls: 0.6756, decode.d2.loss_mask: 0.7361, decode.d2.loss_dice: 1.0545, decode.d3.loss_cls: 0.6672, decode.d3.loss_mask: 0.7275, decode.d3.loss_dice: 1.0282, decode.d4.loss_cls: 0.6556, decode.d4.loss_mask: 0.7274, decode.d4.loss_dice: 1.0350, decode.d5.loss_cls: 0.6450, decode.d5.loss_mask: 0.7282, decode.d5.loss_dice: 1.0316, decode.d6.loss_cls: 0.6373, decode.d6.loss_mask: 0.7285, decode.d6.loss_dice: 1.0202, decode.d7.loss_cls: 0.6373, decode.d7.loss_mask: 0.7283, decode.d7.loss_dice: 1.0205, decode.d8.loss_cls: 0.6201, decode.d8.loss_mask: 0.7308, decode.d8.loss_dice: 1.0283, loss: 25.3642, grad_norm: 50.2588 2023-11-12 01:03:20,456 - mmseg - INFO - Iter [16100/160000] lr: 8.994e-05, eta: 20:33:39, time: 0.496, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6879, decode.loss_mask: 0.7071, decode.loss_dice: 1.0490, decode.d0.loss_cls: 1.6756, decode.d0.loss_mask: 0.7491, decode.d0.loss_dice: 1.1924, decode.d1.loss_cls: 0.7981, decode.d1.loss_mask: 0.7440, decode.d1.loss_dice: 1.1353, decode.d2.loss_cls: 0.7353, decode.d2.loss_mask: 0.7183, decode.d2.loss_dice: 1.0834, decode.d3.loss_cls: 0.7081, decode.d3.loss_mask: 0.7156, decode.d3.loss_dice: 1.0534, decode.d4.loss_cls: 0.6986, decode.d4.loss_mask: 0.7105, decode.d4.loss_dice: 1.0645, decode.d5.loss_cls: 0.6964, decode.d5.loss_mask: 0.7126, decode.d5.loss_dice: 1.0520, decode.d6.loss_cls: 0.6931, decode.d6.loss_mask: 0.7091, decode.d6.loss_dice: 1.0471, decode.d7.loss_cls: 0.6908, decode.d7.loss_mask: 0.7070, decode.d7.loss_dice: 1.0539, decode.d8.loss_cls: 0.6945, decode.d8.loss_mask: 0.7074, decode.d8.loss_dice: 1.0532, loss: 26.0432, grad_norm: 49.4358 2023-11-12 01:03:44,628 - mmseg - INFO - Iter [16150/160000] lr: 8.991e-05, eta: 20:33:00, time: 0.483, data_time: 0.011, memory: 41146, decode.loss_cls: 0.6567, decode.loss_mask: 0.7406, decode.loss_dice: 1.0190, decode.d0.loss_cls: 1.5998, decode.d0.loss_mask: 0.7806, decode.d0.loss_dice: 1.1635, decode.d1.loss_cls: 0.7643, decode.d1.loss_mask: 0.7678, decode.d1.loss_dice: 1.1024, decode.d2.loss_cls: 0.6896, decode.d2.loss_mask: 0.7532, decode.d2.loss_dice: 1.0619, decode.d3.loss_cls: 0.6780, decode.d3.loss_mask: 0.7469, decode.d3.loss_dice: 1.0320, decode.d4.loss_cls: 0.6693, decode.d4.loss_mask: 0.7422, decode.d4.loss_dice: 1.0390, decode.d5.loss_cls: 0.6646, decode.d5.loss_mask: 0.7426, decode.d5.loss_dice: 1.0297, decode.d6.loss_cls: 0.6620, decode.d6.loss_mask: 0.7432, decode.d6.loss_dice: 1.0228, decode.d7.loss_cls: 0.6562, decode.d7.loss_mask: 0.7448, decode.d7.loss_dice: 1.0237, decode.d8.loss_cls: 0.6559, decode.d8.loss_mask: 0.7424, decode.d8.loss_dice: 1.0289, loss: 25.7237, grad_norm: 49.5211 2023-11-12 01:04:09,397 - mmseg - INFO - Iter [16200/160000] lr: 8.988e-05, eta: 20:32:26, time: 0.495, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6454, decode.loss_mask: 0.7113, decode.loss_dice: 1.0272, decode.d0.loss_cls: 1.6493, decode.d0.loss_mask: 0.7524, decode.d0.loss_dice: 1.1555, decode.d1.loss_cls: 0.7638, decode.d1.loss_mask: 0.7395, decode.d1.loss_dice: 1.1035, decode.d2.loss_cls: 0.7000, decode.d2.loss_mask: 0.7254, decode.d2.loss_dice: 1.0566, decode.d3.loss_cls: 0.6771, decode.d3.loss_mask: 0.7154, decode.d3.loss_dice: 1.0355, decode.d4.loss_cls: 0.6672, decode.d4.loss_mask: 0.7155, decode.d4.loss_dice: 1.0340, decode.d5.loss_cls: 0.6571, decode.d5.loss_mask: 0.7118, decode.d5.loss_dice: 1.0288, decode.d6.loss_cls: 0.6528, decode.d6.loss_mask: 0.7116, decode.d6.loss_dice: 1.0237, decode.d7.loss_cls: 0.6532, decode.d7.loss_mask: 0.7108, decode.d7.loss_dice: 1.0232, decode.d8.loss_cls: 0.6497, decode.d8.loss_mask: 0.7127, decode.d8.loss_dice: 1.0227, loss: 25.4329, grad_norm: 44.1295 2023-11-12 01:04:37,076 - mmseg - INFO - Iter [16250/160000] lr: 8.984e-05, eta: 20:32:17, time: 0.554, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6521, decode.loss_mask: 0.7160, decode.loss_dice: 1.0399, decode.d0.loss_cls: 1.6487, decode.d0.loss_mask: 0.7557, decode.d0.loss_dice: 1.1871, decode.d1.loss_cls: 0.7694, decode.d1.loss_mask: 0.7432, decode.d1.loss_dice: 1.1167, decode.d2.loss_cls: 0.7053, decode.d2.loss_mask: 0.7206, decode.d2.loss_dice: 1.0821, decode.d3.loss_cls: 0.6817, decode.d3.loss_mask: 0.7135, decode.d3.loss_dice: 1.0534, decode.d4.loss_cls: 0.6680, decode.d4.loss_mask: 0.7128, decode.d4.loss_dice: 1.0475, decode.d5.loss_cls: 0.6685, decode.d5.loss_mask: 0.7108, decode.d5.loss_dice: 1.0540, decode.d6.loss_cls: 0.6558, decode.d6.loss_mask: 0.7148, decode.d6.loss_dice: 1.0447, decode.d7.loss_cls: 0.6488, decode.d7.loss_mask: 0.7128, decode.d7.loss_dice: 1.0437, decode.d8.loss_cls: 0.6524, decode.d8.loss_mask: 0.7141, decode.d8.loss_dice: 1.0399, loss: 25.6742, grad_norm: 46.5880 2023-11-12 01:05:05,930 - mmseg - INFO - Iter [16300/160000] lr: 8.981e-05, eta: 20:32:19, time: 0.577, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6676, decode.loss_mask: 0.6723, decode.loss_dice: 1.0188, decode.d0.loss_cls: 1.6391, decode.d0.loss_mask: 0.7027, decode.d0.loss_dice: 1.1532, decode.d1.loss_cls: 0.7799, decode.d1.loss_mask: 0.7021, decode.d1.loss_dice: 1.0879, decode.d2.loss_cls: 0.7117, decode.d2.loss_mask: 0.6793, decode.d2.loss_dice: 1.0450, decode.d3.loss_cls: 0.6947, decode.d3.loss_mask: 0.6724, decode.d3.loss_dice: 1.0272, decode.d4.loss_cls: 0.6844, decode.d4.loss_mask: 0.6721, decode.d4.loss_dice: 1.0230, decode.d5.loss_cls: 0.6756, decode.d5.loss_mask: 0.6729, decode.d5.loss_dice: 1.0231, decode.d6.loss_cls: 0.6749, decode.d6.loss_mask: 0.6671, decode.d6.loss_dice: 1.0209, decode.d7.loss_cls: 0.6700, decode.d7.loss_mask: 0.6733, decode.d7.loss_dice: 1.0242, decode.d8.loss_cls: 0.6650, decode.d8.loss_mask: 0.6709, decode.d8.loss_dice: 1.0265, loss: 25.0976, grad_norm: 44.9296 2023-11-12 01:05:30,749 - mmseg - INFO - Iter [16350/160000] lr: 8.978e-05, eta: 20:31:46, time: 0.496, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6692, decode.loss_mask: 0.7350, decode.loss_dice: 1.0801, decode.d0.loss_cls: 1.6746, decode.d0.loss_mask: 0.7687, decode.d0.loss_dice: 1.1911, decode.d1.loss_cls: 0.7912, decode.d1.loss_mask: 0.7551, decode.d1.loss_dice: 1.1494, decode.d2.loss_cls: 0.7267, decode.d2.loss_mask: 0.7415, decode.d2.loss_dice: 1.1081, decode.d3.loss_cls: 0.7003, decode.d3.loss_mask: 0.7334, decode.d3.loss_dice: 1.0892, decode.d4.loss_cls: 0.6876, decode.d4.loss_mask: 0.7334, decode.d4.loss_dice: 1.0908, decode.d5.loss_cls: 0.6842, decode.d5.loss_mask: 0.7384, decode.d5.loss_dice: 1.0825, decode.d6.loss_cls: 0.6777, decode.d6.loss_mask: 0.7350, decode.d6.loss_dice: 1.0713, decode.d7.loss_cls: 0.6743, decode.d7.loss_mask: 0.7314, decode.d7.loss_dice: 1.0800, decode.d8.loss_cls: 0.6747, decode.d8.loss_mask: 0.7352, decode.d8.loss_dice: 1.0846, loss: 26.3949, grad_norm: 48.6148 2023-11-12 01:05:55,405 - mmseg - INFO - Iter [16400/160000] lr: 8.975e-05, eta: 20:31:11, time: 0.493, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6580, decode.loss_mask: 0.7002, decode.loss_dice: 1.0207, decode.d0.loss_cls: 1.6373, decode.d0.loss_mask: 0.7340, decode.d0.loss_dice: 1.1512, decode.d1.loss_cls: 0.7626, decode.d1.loss_mask: 0.7248, decode.d1.loss_dice: 1.0976, decode.d2.loss_cls: 0.7028, decode.d2.loss_mask: 0.7111, decode.d2.loss_dice: 1.0550, decode.d3.loss_cls: 0.6708, decode.d3.loss_mask: 0.7147, decode.d3.loss_dice: 1.0400, decode.d4.loss_cls: 0.6677, decode.d4.loss_mask: 0.7073, decode.d4.loss_dice: 1.0369, decode.d5.loss_cls: 0.6688, decode.d5.loss_mask: 0.7088, decode.d5.loss_dice: 1.0289, decode.d6.loss_cls: 0.6602, decode.d6.loss_mask: 0.7033, decode.d6.loss_dice: 1.0186, decode.d7.loss_cls: 0.6537, decode.d7.loss_mask: 0.7066, decode.d7.loss_dice: 1.0227, decode.d8.loss_cls: 0.6602, decode.d8.loss_mask: 0.7025, decode.d8.loss_dice: 1.0259, loss: 25.3530, grad_norm: 46.0434 2023-11-12 01:06:22,834 - mmseg - INFO - Iter [16450/160000] lr: 8.972e-05, eta: 20:31:00, time: 0.549, data_time: 0.058, memory: 41146, decode.loss_cls: 0.6512, decode.loss_mask: 0.6794, decode.loss_dice: 1.0228, decode.d0.loss_cls: 1.6679, decode.d0.loss_mask: 0.7037, decode.d0.loss_dice: 1.1496, decode.d1.loss_cls: 0.7626, decode.d1.loss_mask: 0.6991, decode.d1.loss_dice: 1.0907, decode.d2.loss_cls: 0.7038, decode.d2.loss_mask: 0.6783, decode.d2.loss_dice: 1.0435, decode.d3.loss_cls: 0.6790, decode.d3.loss_mask: 0.6733, decode.d3.loss_dice: 1.0279, decode.d4.loss_cls: 0.6686, decode.d4.loss_mask: 0.6740, decode.d4.loss_dice: 1.0304, decode.d5.loss_cls: 0.6630, decode.d5.loss_mask: 0.6769, decode.d5.loss_dice: 1.0263, decode.d6.loss_cls: 0.6594, decode.d6.loss_mask: 0.6735, decode.d6.loss_dice: 1.0219, decode.d7.loss_cls: 0.6567, decode.d7.loss_mask: 0.6740, decode.d7.loss_dice: 1.0211, decode.d8.loss_cls: 0.6467, decode.d8.loss_mask: 0.6784, decode.d8.loss_dice: 1.0250, loss: 25.0287, grad_norm: 44.7372 2023-11-12 01:06:47,248 - mmseg - INFO - Iter [16500/160000] lr: 8.969e-05, eta: 20:30:23, time: 0.488, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6162, decode.loss_mask: 0.6969, decode.loss_dice: 0.9969, decode.d0.loss_cls: 1.5889, decode.d0.loss_mask: 0.7253, decode.d0.loss_dice: 1.1237, decode.d1.loss_cls: 0.7346, decode.d1.loss_mask: 0.7170, decode.d1.loss_dice: 1.0626, decode.d2.loss_cls: 0.6618, decode.d2.loss_mask: 0.7077, decode.d2.loss_dice: 1.0263, decode.d3.loss_cls: 0.6421, decode.d3.loss_mask: 0.7034, decode.d3.loss_dice: 1.0067, decode.d4.loss_cls: 0.6374, decode.d4.loss_mask: 0.6961, decode.d4.loss_dice: 1.0035, decode.d5.loss_cls: 0.6332, decode.d5.loss_mask: 0.6938, decode.d5.loss_dice: 1.0033, decode.d6.loss_cls: 0.6267, decode.d6.loss_mask: 0.6922, decode.d6.loss_dice: 0.9899, decode.d7.loss_cls: 0.6225, decode.d7.loss_mask: 0.6931, decode.d7.loss_dice: 0.9938, decode.d8.loss_cls: 0.6215, decode.d8.loss_mask: 0.6959, decode.d8.loss_dice: 1.0028, loss: 24.6156, grad_norm: 44.4373 2023-11-12 01:07:11,277 - mmseg - INFO - Iter [16550/160000] lr: 8.966e-05, eta: 20:29:42, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6308, decode.loss_mask: 0.7190, decode.loss_dice: 1.0426, decode.d0.loss_cls: 1.6299, decode.d0.loss_mask: 0.7600, decode.d0.loss_dice: 1.1797, decode.d1.loss_cls: 0.7516, decode.d1.loss_mask: 0.7446, decode.d1.loss_dice: 1.1215, decode.d2.loss_cls: 0.6744, decode.d2.loss_mask: 0.7276, decode.d2.loss_dice: 1.0712, decode.d3.loss_cls: 0.6562, decode.d3.loss_mask: 0.7190, decode.d3.loss_dice: 1.0528, decode.d4.loss_cls: 0.6458, decode.d4.loss_mask: 0.7223, decode.d4.loss_dice: 1.0576, decode.d5.loss_cls: 0.6355, decode.d5.loss_mask: 0.7243, decode.d5.loss_dice: 1.0496, decode.d6.loss_cls: 0.6345, decode.d6.loss_mask: 0.7174, decode.d6.loss_dice: 1.0407, decode.d7.loss_cls: 0.6282, decode.d7.loss_mask: 0.7193, decode.d7.loss_dice: 1.0505, decode.d8.loss_cls: 0.6305, decode.d8.loss_mask: 0.7167, decode.d8.loss_dice: 1.0506, loss: 25.5044, grad_norm: 49.3313 2023-11-12 01:07:35,391 - mmseg - INFO - Iter [16600/160000] lr: 8.963e-05, eta: 20:29:03, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6444, decode.loss_mask: 0.6880, decode.loss_dice: 1.0019, decode.d0.loss_cls: 1.6271, decode.d0.loss_mask: 0.7240, decode.d0.loss_dice: 1.1300, decode.d1.loss_cls: 0.7690, decode.d1.loss_mask: 0.7136, decode.d1.loss_dice: 1.0644, decode.d2.loss_cls: 0.6995, decode.d2.loss_mask: 0.6997, decode.d2.loss_dice: 1.0269, decode.d3.loss_cls: 0.6723, decode.d3.loss_mask: 0.6885, decode.d3.loss_dice: 1.0063, decode.d4.loss_cls: 0.6630, decode.d4.loss_mask: 0.6914, decode.d4.loss_dice: 0.9934, decode.d5.loss_cls: 0.6617, decode.d5.loss_mask: 0.6859, decode.d5.loss_dice: 0.9963, decode.d6.loss_cls: 0.6584, decode.d6.loss_mask: 0.6838, decode.d6.loss_dice: 0.9952, decode.d7.loss_cls: 0.6472, decode.d7.loss_mask: 0.6884, decode.d7.loss_dice: 0.9995, decode.d8.loss_cls: 0.6485, decode.d8.loss_mask: 0.6840, decode.d8.loss_dice: 1.0010, loss: 24.8532, grad_norm: 46.4053 2023-11-12 01:07:59,687 - mmseg - INFO - Iter [16650/160000] lr: 8.959e-05, eta: 20:28:25, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6186, decode.loss_mask: 0.7044, decode.loss_dice: 0.9787, decode.d0.loss_cls: 1.6191, decode.d0.loss_mask: 0.7445, decode.d0.loss_dice: 1.1066, decode.d1.loss_cls: 0.7453, decode.d1.loss_mask: 0.7316, decode.d1.loss_dice: 1.0536, decode.d2.loss_cls: 0.6762, decode.d2.loss_mask: 0.7116, decode.d2.loss_dice: 1.0032, decode.d3.loss_cls: 0.6475, decode.d3.loss_mask: 0.7043, decode.d3.loss_dice: 0.9822, decode.d4.loss_cls: 0.6390, decode.d4.loss_mask: 0.7010, decode.d4.loss_dice: 0.9881, decode.d5.loss_cls: 0.6344, decode.d5.loss_mask: 0.7040, decode.d5.loss_dice: 0.9775, decode.d6.loss_cls: 0.6284, decode.d6.loss_mask: 0.7075, decode.d6.loss_dice: 0.9772, decode.d7.loss_cls: 0.6233, decode.d7.loss_mask: 0.7071, decode.d7.loss_dice: 0.9826, decode.d8.loss_cls: 0.6241, decode.d8.loss_mask: 0.7036, decode.d8.loss_dice: 0.9785, loss: 24.6037, grad_norm: 50.7945 2023-11-12 01:08:24,057 - mmseg - INFO - Iter [16700/160000] lr: 8.956e-05, eta: 20:27:48, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6444, decode.loss_mask: 0.6888, decode.loss_dice: 1.0166, decode.d0.loss_cls: 1.6564, decode.d0.loss_mask: 0.7255, decode.d0.loss_dice: 1.1456, decode.d1.loss_cls: 0.7641, decode.d1.loss_mask: 0.7163, decode.d1.loss_dice: 1.0846, decode.d2.loss_cls: 0.7007, decode.d2.loss_mask: 0.6971, decode.d2.loss_dice: 1.0473, decode.d3.loss_cls: 0.6649, decode.d3.loss_mask: 0.6913, decode.d3.loss_dice: 1.0283, decode.d4.loss_cls: 0.6608, decode.d4.loss_mask: 0.6945, decode.d4.loss_dice: 1.0283, decode.d5.loss_cls: 0.6574, decode.d5.loss_mask: 0.6913, decode.d5.loss_dice: 1.0276, decode.d6.loss_cls: 0.6472, decode.d6.loss_mask: 0.6936, decode.d6.loss_dice: 1.0132, decode.d7.loss_cls: 0.6393, decode.d7.loss_mask: 0.6908, decode.d7.loss_dice: 1.0206, decode.d8.loss_cls: 0.6353, decode.d8.loss_mask: 0.6947, decode.d8.loss_dice: 1.0272, loss: 25.0937, grad_norm: 47.2963 2023-11-12 01:08:48,227 - mmseg - INFO - Iter [16750/160000] lr: 8.953e-05, eta: 20:27:09, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6577, decode.loss_mask: 0.6684, decode.loss_dice: 0.9848, decode.d0.loss_cls: 1.6715, decode.d0.loss_mask: 0.7104, decode.d0.loss_dice: 1.1243, decode.d1.loss_cls: 0.7776, decode.d1.loss_mask: 0.7015, decode.d1.loss_dice: 1.0580, decode.d2.loss_cls: 0.7133, decode.d2.loss_mask: 0.6826, decode.d2.loss_dice: 1.0155, decode.d3.loss_cls: 0.6908, decode.d3.loss_mask: 0.6719, decode.d3.loss_dice: 0.9938, decode.d4.loss_cls: 0.6771, decode.d4.loss_mask: 0.6708, decode.d4.loss_dice: 0.9965, decode.d5.loss_cls: 0.6805, decode.d5.loss_mask: 0.6681, decode.d5.loss_dice: 0.9871, decode.d6.loss_cls: 0.6716, decode.d6.loss_mask: 0.6703, decode.d6.loss_dice: 0.9800, decode.d7.loss_cls: 0.6620, decode.d7.loss_mask: 0.6687, decode.d7.loss_dice: 0.9857, decode.d8.loss_cls: 0.6595, decode.d8.loss_mask: 0.6704, decode.d8.loss_dice: 0.9845, loss: 24.7549, grad_norm: 45.9087 2023-11-12 01:09:19,176 - mmseg - INFO - Iter [16800/160000] lr: 8.950e-05, eta: 20:27:28, time: 0.619, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6264, decode.loss_mask: 0.6876, decode.loss_dice: 1.0032, decode.d0.loss_cls: 1.6132, decode.d0.loss_mask: 0.7299, decode.d0.loss_dice: 1.1346, decode.d1.loss_cls: 0.7490, decode.d1.loss_mask: 0.7193, decode.d1.loss_dice: 1.0844, decode.d2.loss_cls: 0.6687, decode.d2.loss_mask: 0.7002, decode.d2.loss_dice: 1.0426, decode.d3.loss_cls: 0.6491, decode.d3.loss_mask: 0.6927, decode.d3.loss_dice: 1.0146, decode.d4.loss_cls: 0.6418, decode.d4.loss_mask: 0.6922, decode.d4.loss_dice: 1.0139, decode.d5.loss_cls: 0.6364, decode.d5.loss_mask: 0.6921, decode.d5.loss_dice: 1.0134, decode.d6.loss_cls: 0.6326, decode.d6.loss_mask: 0.6878, decode.d6.loss_dice: 1.0062, decode.d7.loss_cls: 0.6333, decode.d7.loss_mask: 0.6879, decode.d7.loss_dice: 1.0072, decode.d8.loss_cls: 0.6251, decode.d8.loss_mask: 0.6885, decode.d8.loss_dice: 1.0124, loss: 24.7863, grad_norm: 51.2351 2023-11-12 01:09:46,508 - mmseg - INFO - Iter [16850/160000] lr: 8.947e-05, eta: 20:27:16, time: 0.547, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6264, decode.loss_mask: 0.7198, decode.loss_dice: 1.0527, decode.d0.loss_cls: 1.6246, decode.d0.loss_mask: 0.7546, decode.d0.loss_dice: 1.1797, decode.d1.loss_cls: 0.7489, decode.d1.loss_mask: 0.7469, decode.d1.loss_dice: 1.1299, decode.d2.loss_cls: 0.6665, decode.d2.loss_mask: 0.7238, decode.d2.loss_dice: 1.0795, decode.d3.loss_cls: 0.6528, decode.d3.loss_mask: 0.7170, decode.d3.loss_dice: 1.0521, decode.d4.loss_cls: 0.6438, decode.d4.loss_mask: 0.7220, decode.d4.loss_dice: 1.0531, decode.d5.loss_cls: 0.6341, decode.d5.loss_mask: 0.7223, decode.d5.loss_dice: 1.0572, decode.d6.loss_cls: 0.6297, decode.d6.loss_mask: 0.7160, decode.d6.loss_dice: 1.0432, decode.d7.loss_cls: 0.6284, decode.d7.loss_mask: 0.7200, decode.d7.loss_dice: 1.0480, decode.d8.loss_cls: 0.6281, decode.d8.loss_mask: 0.7185, decode.d8.loss_dice: 1.0497, loss: 25.4892, grad_norm: 50.2483 2023-11-12 01:10:13,440 - mmseg - INFO - Iter [16900/160000] lr: 8.944e-05, eta: 20:27:00, time: 0.539, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6267, decode.loss_mask: 0.6887, decode.loss_dice: 1.0107, decode.d0.loss_cls: 1.6416, decode.d0.loss_mask: 0.7236, decode.d0.loss_dice: 1.1441, decode.d1.loss_cls: 0.7412, decode.d1.loss_mask: 0.7186, decode.d1.loss_dice: 1.0826, decode.d2.loss_cls: 0.6671, decode.d2.loss_mask: 0.7027, decode.d2.loss_dice: 1.0426, decode.d3.loss_cls: 0.6442, decode.d3.loss_mask: 0.6982, decode.d3.loss_dice: 1.0198, decode.d4.loss_cls: 0.6458, decode.d4.loss_mask: 0.6944, decode.d4.loss_dice: 1.0213, decode.d5.loss_cls: 0.6327, decode.d5.loss_mask: 0.6943, decode.d5.loss_dice: 1.0258, decode.d6.loss_cls: 0.6347, decode.d6.loss_mask: 0.6890, decode.d6.loss_dice: 1.0137, decode.d7.loss_cls: 0.6263, decode.d7.loss_mask: 0.6854, decode.d7.loss_dice: 1.0133, decode.d8.loss_cls: 0.6352, decode.d8.loss_mask: 0.6929, decode.d8.loss_dice: 1.0143, loss: 24.8719, grad_norm: 49.8086 2023-11-12 01:10:41,575 - mmseg - INFO - Iter [16950/160000] lr: 8.941e-05, eta: 20:26:55, time: 0.563, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6243, decode.loss_mask: 0.7097, decode.loss_dice: 1.0391, decode.d0.loss_cls: 1.6229, decode.d0.loss_mask: 0.7481, decode.d0.loss_dice: 1.1760, decode.d1.loss_cls: 0.7372, decode.d1.loss_mask: 0.7353, decode.d1.loss_dice: 1.1165, decode.d2.loss_cls: 0.6719, decode.d2.loss_mask: 0.7177, decode.d2.loss_dice: 1.0733, decode.d3.loss_cls: 0.6546, decode.d3.loss_mask: 0.7049, decode.d3.loss_dice: 1.0513, decode.d4.loss_cls: 0.6383, decode.d4.loss_mask: 0.7074, decode.d4.loss_dice: 1.0497, decode.d5.loss_cls: 0.6431, decode.d5.loss_mask: 0.7062, decode.d5.loss_dice: 1.0550, decode.d6.loss_cls: 0.6253, decode.d6.loss_mask: 0.7100, decode.d6.loss_dice: 1.0400, decode.d7.loss_cls: 0.6334, decode.d7.loss_mask: 0.7072, decode.d7.loss_dice: 1.0445, decode.d8.loss_cls: 0.6284, decode.d8.loss_mask: 0.7057, decode.d8.loss_dice: 1.0453, loss: 25.3225, grad_norm: 46.2879 2023-11-12 01:11:06,211 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 01:11:06,211 - mmseg - INFO - Iter [17000/160000] lr: 8.938e-05, eta: 20:26:20, time: 0.493, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6004, decode.loss_mask: 0.7070, decode.loss_dice: 1.0173, decode.d0.loss_cls: 1.6120, decode.d0.loss_mask: 0.7412, decode.d0.loss_dice: 1.1516, decode.d1.loss_cls: 0.7230, decode.d1.loss_mask: 0.7305, decode.d1.loss_dice: 1.0829, decode.d2.loss_cls: 0.6509, decode.d2.loss_mask: 0.7160, decode.d2.loss_dice: 1.0491, decode.d3.loss_cls: 0.6300, decode.d3.loss_mask: 0.7100, decode.d3.loss_dice: 1.0257, decode.d4.loss_cls: 0.6232, decode.d4.loss_mask: 0.7059, decode.d4.loss_dice: 1.0261, decode.d5.loss_cls: 0.6127, decode.d5.loss_mask: 0.7056, decode.d5.loss_dice: 1.0247, decode.d6.loss_cls: 0.6023, decode.d6.loss_mask: 0.7079, decode.d6.loss_dice: 1.0205, decode.d7.loss_cls: 0.5994, decode.d7.loss_mask: 0.7088, decode.d7.loss_dice: 1.0263, decode.d8.loss_cls: 0.5992, decode.d8.loss_mask: 0.7118, decode.d8.loss_dice: 1.0226, loss: 24.8446, grad_norm: 48.2274 2023-11-12 01:11:31,136 - mmseg - INFO - Iter [17050/160000] lr: 8.934e-05, eta: 20:25:48, time: 0.498, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5974, decode.loss_mask: 0.6737, decode.loss_dice: 0.9804, decode.d0.loss_cls: 1.6039, decode.d0.loss_mask: 0.6997, decode.d0.loss_dice: 1.1108, decode.d1.loss_cls: 0.7327, decode.d1.loss_mask: 0.7027, decode.d1.loss_dice: 1.0707, decode.d2.loss_cls: 0.6472, decode.d2.loss_mask: 0.6814, decode.d2.loss_dice: 1.0197, decode.d3.loss_cls: 0.6281, decode.d3.loss_mask: 0.6708, decode.d3.loss_dice: 0.9909, decode.d4.loss_cls: 0.6146, decode.d4.loss_mask: 0.6716, decode.d4.loss_dice: 0.9925, decode.d5.loss_cls: 0.6067, decode.d5.loss_mask: 0.6771, decode.d5.loss_dice: 0.9854, decode.d6.loss_cls: 0.6007, decode.d6.loss_mask: 0.6705, decode.d6.loss_dice: 0.9806, decode.d7.loss_cls: 0.5929, decode.d7.loss_mask: 0.6757, decode.d7.loss_dice: 0.9880, decode.d8.loss_cls: 0.5897, decode.d8.loss_mask: 0.6717, decode.d8.loss_dice: 0.9934, loss: 24.1212, grad_norm: 47.6427 2023-11-12 01:11:55,279 - mmseg - INFO - Iter [17100/160000] lr: 8.931e-05, eta: 20:25:09, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6185, decode.loss_mask: 0.7335, decode.loss_dice: 1.0436, decode.d0.loss_cls: 1.5820, decode.d0.loss_mask: 0.7635, decode.d0.loss_dice: 1.1628, decode.d1.loss_cls: 0.7351, decode.d1.loss_mask: 0.7588, decode.d1.loss_dice: 1.1113, decode.d2.loss_cls: 0.6750, decode.d2.loss_mask: 0.7454, decode.d2.loss_dice: 1.0652, decode.d3.loss_cls: 0.6487, decode.d3.loss_mask: 0.7393, decode.d3.loss_dice: 1.0424, decode.d4.loss_cls: 0.6379, decode.d4.loss_mask: 0.7383, decode.d4.loss_dice: 1.0479, decode.d5.loss_cls: 0.6265, decode.d5.loss_mask: 0.7351, decode.d5.loss_dice: 1.0464, decode.d6.loss_cls: 0.6197, decode.d6.loss_mask: 0.7338, decode.d6.loss_dice: 1.0474, decode.d7.loss_cls: 0.6195, decode.d7.loss_mask: 0.7339, decode.d7.loss_dice: 1.0489, decode.d8.loss_cls: 0.6150, decode.d8.loss_mask: 0.7351, decode.d8.loss_dice: 1.0425, loss: 25.4527, grad_norm: 45.3585 2023-11-12 01:12:19,518 - mmseg - INFO - Iter [17150/160000] lr: 8.928e-05, eta: 20:24:30, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6351, decode.loss_mask: 0.7065, decode.loss_dice: 1.0373, decode.d0.loss_cls: 1.6545, decode.d0.loss_mask: 0.7377, decode.d0.loss_dice: 1.1545, decode.d1.loss_cls: 0.7474, decode.d1.loss_mask: 0.7333, decode.d1.loss_dice: 1.1106, decode.d2.loss_cls: 0.6767, decode.d2.loss_mask: 0.7163, decode.d2.loss_dice: 1.0629, decode.d3.loss_cls: 0.6620, decode.d3.loss_mask: 0.7089, decode.d3.loss_dice: 1.0478, decode.d4.loss_cls: 0.6491, decode.d4.loss_mask: 0.7089, decode.d4.loss_dice: 1.0511, decode.d5.loss_cls: 0.6447, decode.d5.loss_mask: 0.7075, decode.d5.loss_dice: 1.0403, decode.d6.loss_cls: 0.6365, decode.d6.loss_mask: 0.7082, decode.d6.loss_dice: 1.0329, decode.d7.loss_cls: 0.6329, decode.d7.loss_mask: 0.7052, decode.d7.loss_dice: 1.0353, decode.d8.loss_cls: 0.6262, decode.d8.loss_mask: 0.7073, decode.d8.loss_dice: 1.0464, loss: 25.3239, grad_norm: 46.0200 2023-11-12 01:12:53,516 - mmseg - INFO - Iter [17200/160000] lr: 8.925e-05, eta: 20:25:14, time: 0.680, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6101, decode.loss_mask: 0.6914, decode.loss_dice: 1.0101, decode.d0.loss_cls: 1.6180, decode.d0.loss_mask: 0.7258, decode.d0.loss_dice: 1.1423, decode.d1.loss_cls: 0.7325, decode.d1.loss_mask: 0.7213, decode.d1.loss_dice: 1.0879, decode.d2.loss_cls: 0.6644, decode.d2.loss_mask: 0.7034, decode.d2.loss_dice: 1.0480, decode.d3.loss_cls: 0.6355, decode.d3.loss_mask: 0.7014, decode.d3.loss_dice: 1.0288, decode.d4.loss_cls: 0.6253, decode.d4.loss_mask: 0.6996, decode.d4.loss_dice: 1.0279, decode.d5.loss_cls: 0.6183, decode.d5.loss_mask: 0.6971, decode.d5.loss_dice: 1.0302, decode.d6.loss_cls: 0.6167, decode.d6.loss_mask: 0.6964, decode.d6.loss_dice: 1.0139, decode.d7.loss_cls: 0.6132, decode.d7.loss_mask: 0.6951, decode.d7.loss_dice: 1.0181, decode.d8.loss_cls: 0.6092, decode.d8.loss_mask: 0.6942, decode.d8.loss_dice: 1.0152, loss: 24.7912, grad_norm: 46.3934 2023-11-12 01:13:23,136 - mmseg - INFO - Iter [17250/160000] lr: 8.922e-05, eta: 20:25:20, time: 0.592, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6286, decode.loss_mask: 0.6988, decode.loss_dice: 1.0216, decode.d0.loss_cls: 1.6140, decode.d0.loss_mask: 0.7397, decode.d0.loss_dice: 1.1525, decode.d1.loss_cls: 0.7408, decode.d1.loss_mask: 0.7312, decode.d1.loss_dice: 1.0906, decode.d2.loss_cls: 0.6675, decode.d2.loss_mask: 0.7163, decode.d2.loss_dice: 1.0574, decode.d3.loss_cls: 0.6546, decode.d3.loss_mask: 0.7074, decode.d3.loss_dice: 1.0395, decode.d4.loss_cls: 0.6474, decode.d4.loss_mask: 0.7052, decode.d4.loss_dice: 1.0352, decode.d5.loss_cls: 0.6483, decode.d5.loss_mask: 0.7018, decode.d5.loss_dice: 1.0334, decode.d6.loss_cls: 0.6436, decode.d6.loss_mask: 0.7035, decode.d6.loss_dice: 1.0246, decode.d7.loss_cls: 0.6327, decode.d7.loss_mask: 0.7001, decode.d7.loss_dice: 1.0276, decode.d8.loss_cls: 0.6276, decode.d8.loss_mask: 0.7002, decode.d8.loss_dice: 1.0249, loss: 25.1169, grad_norm: 47.0956 2023-11-12 01:13:47,912 - mmseg - INFO - Iter [17300/160000] lr: 8.919e-05, eta: 20:24:46, time: 0.495, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6209, decode.loss_mask: 0.7206, decode.loss_dice: 1.0229, decode.d0.loss_cls: 1.5947, decode.d0.loss_mask: 0.7452, decode.d0.loss_dice: 1.1560, decode.d1.loss_cls: 0.7363, decode.d1.loss_mask: 0.7385, decode.d1.loss_dice: 1.1012, decode.d2.loss_cls: 0.6718, decode.d2.loss_mask: 0.7233, decode.d2.loss_dice: 1.0622, decode.d3.loss_cls: 0.6506, decode.d3.loss_mask: 0.7201, decode.d3.loss_dice: 1.0370, decode.d4.loss_cls: 0.6340, decode.d4.loss_mask: 0.7185, decode.d4.loss_dice: 1.0353, decode.d5.loss_cls: 0.6351, decode.d5.loss_mask: 0.7204, decode.d5.loss_dice: 1.0257, decode.d6.loss_cls: 0.6246, decode.d6.loss_mask: 0.7185, decode.d6.loss_dice: 1.0220, decode.d7.loss_cls: 0.6243, decode.d7.loss_mask: 0.7189, decode.d7.loss_dice: 1.0260, decode.d8.loss_cls: 0.6196, decode.d8.loss_mask: 0.7207, decode.d8.loss_dice: 1.0268, loss: 25.1717, grad_norm: 47.4078 2023-11-12 01:14:12,507 - mmseg - INFO - Iter [17350/160000] lr: 8.916e-05, eta: 20:24:11, time: 0.492, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6085, decode.loss_mask: 0.7030, decode.loss_dice: 1.0171, decode.d0.loss_cls: 1.6019, decode.d0.loss_mask: 0.7404, decode.d0.loss_dice: 1.1318, decode.d1.loss_cls: 0.7191, decode.d1.loss_mask: 0.7295, decode.d1.loss_dice: 1.0972, decode.d2.loss_cls: 0.6522, decode.d2.loss_mask: 0.7093, decode.d2.loss_dice: 1.0529, decode.d3.loss_cls: 0.6243, decode.d3.loss_mask: 0.6995, decode.d3.loss_dice: 1.0310, decode.d4.loss_cls: 0.6130, decode.d4.loss_mask: 0.6979, decode.d4.loss_dice: 1.0315, decode.d5.loss_cls: 0.6106, decode.d5.loss_mask: 0.7036, decode.d5.loss_dice: 1.0234, decode.d6.loss_cls: 0.6139, decode.d6.loss_mask: 0.6995, decode.d6.loss_dice: 1.0162, decode.d7.loss_cls: 0.6083, decode.d7.loss_mask: 0.7032, decode.d7.loss_dice: 1.0170, decode.d8.loss_cls: 0.6040, decode.d8.loss_mask: 0.7008, decode.d8.loss_dice: 1.0147, loss: 24.7751, grad_norm: 46.7713 2023-11-12 01:14:49,124 - mmseg - INFO - Iter [17400/160000] lr: 8.913e-05, eta: 20:25:14, time: 0.732, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5788, decode.loss_mask: 0.6991, decode.loss_dice: 1.0076, decode.d0.loss_cls: 1.5681, decode.d0.loss_mask: 0.7342, decode.d0.loss_dice: 1.1213, decode.d1.loss_cls: 0.6917, decode.d1.loss_mask: 0.7216, decode.d1.loss_dice: 1.0629, decode.d2.loss_cls: 0.6241, decode.d2.loss_mask: 0.7023, decode.d2.loss_dice: 1.0173, decode.d3.loss_cls: 0.6063, decode.d3.loss_mask: 0.6963, decode.d3.loss_dice: 0.9930, decode.d4.loss_cls: 0.5945, decode.d4.loss_mask: 0.7000, decode.d4.loss_dice: 0.9977, decode.d5.loss_cls: 0.5858, decode.d5.loss_mask: 0.7014, decode.d5.loss_dice: 1.0012, decode.d6.loss_cls: 0.5847, decode.d6.loss_mask: 0.6977, decode.d6.loss_dice: 0.9911, decode.d7.loss_cls: 0.5819, decode.d7.loss_mask: 0.6971, decode.d7.loss_dice: 1.0007, decode.d8.loss_cls: 0.5754, decode.d8.loss_mask: 0.6979, decode.d8.loss_dice: 0.9987, loss: 24.2302, grad_norm: 46.4038 2023-11-12 01:15:13,683 - mmseg - INFO - Iter [17450/160000] lr: 8.909e-05, eta: 20:24:38, time: 0.491, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6614, decode.loss_mask: 0.7183, decode.loss_dice: 1.0336, decode.d0.loss_cls: 1.6467, decode.d0.loss_mask: 0.7680, decode.d0.loss_dice: 1.1691, decode.d1.loss_cls: 0.7700, decode.d1.loss_mask: 0.7533, decode.d1.loss_dice: 1.1031, decode.d2.loss_cls: 0.6996, decode.d2.loss_mask: 0.7368, decode.d2.loss_dice: 1.0659, decode.d3.loss_cls: 0.6818, decode.d3.loss_mask: 0.7278, decode.d3.loss_dice: 1.0406, decode.d4.loss_cls: 0.6868, decode.d4.loss_mask: 0.7237, decode.d4.loss_dice: 1.0390, decode.d5.loss_cls: 0.6771, decode.d5.loss_mask: 0.7237, decode.d5.loss_dice: 1.0357, decode.d6.loss_cls: 0.6709, decode.d6.loss_mask: 0.7177, decode.d6.loss_dice: 1.0317, decode.d7.loss_cls: 0.6606, decode.d7.loss_mask: 0.7218, decode.d7.loss_dice: 1.0376, decode.d8.loss_cls: 0.6578, decode.d8.loss_mask: 0.7169, decode.d8.loss_dice: 1.0333, loss: 25.7101, grad_norm: 46.6710 2023-11-12 01:15:38,178 - mmseg - INFO - Iter [17500/160000] lr: 8.906e-05, eta: 20:24:02, time: 0.490, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6150, decode.loss_mask: 0.6763, decode.loss_dice: 0.9974, decode.d0.loss_cls: 1.6158, decode.d0.loss_mask: 0.7173, decode.d0.loss_dice: 1.1105, decode.d1.loss_cls: 0.7247, decode.d1.loss_mask: 0.6995, decode.d1.loss_dice: 1.0575, decode.d2.loss_cls: 0.6536, decode.d2.loss_mask: 0.6896, decode.d2.loss_dice: 1.0193, decode.d3.loss_cls: 0.6388, decode.d3.loss_mask: 0.6846, decode.d3.loss_dice: 1.0014, decode.d4.loss_cls: 0.6297, decode.d4.loss_mask: 0.6853, decode.d4.loss_dice: 1.0035, decode.d5.loss_cls: 0.6221, decode.d5.loss_mask: 0.6846, decode.d5.loss_dice: 1.0007, decode.d6.loss_cls: 0.6268, decode.d6.loss_mask: 0.6781, decode.d6.loss_dice: 0.9866, decode.d7.loss_cls: 0.6213, decode.d7.loss_mask: 0.6779, decode.d7.loss_dice: 0.9945, decode.d8.loss_cls: 0.6149, decode.d8.loss_mask: 0.6768, decode.d8.loss_dice: 0.9971, loss: 24.4012, grad_norm: 50.3222 2023-11-12 01:16:03,616 - mmseg - INFO - Iter [17550/160000] lr: 8.903e-05, eta: 20:23:34, time: 0.509, data_time: 0.014, memory: 41146, decode.loss_cls: 0.6467, decode.loss_mask: 0.6954, decode.loss_dice: 1.0350, decode.d0.loss_cls: 1.6386, decode.d0.loss_mask: 0.7292, decode.d0.loss_dice: 1.1625, decode.d1.loss_cls: 0.7451, decode.d1.loss_mask: 0.7247, decode.d1.loss_dice: 1.1259, decode.d2.loss_cls: 0.6888, decode.d2.loss_mask: 0.7110, decode.d2.loss_dice: 1.0705, decode.d3.loss_cls: 0.6737, decode.d3.loss_mask: 0.6984, decode.d3.loss_dice: 1.0514, decode.d4.loss_cls: 0.6548, decode.d4.loss_mask: 0.7004, decode.d4.loss_dice: 1.0555, decode.d5.loss_cls: 0.6518, decode.d5.loss_mask: 0.6959, decode.d5.loss_dice: 1.0498, decode.d6.loss_cls: 0.6476, decode.d6.loss_mask: 0.6934, decode.d6.loss_dice: 1.0423, decode.d7.loss_cls: 0.6492, decode.d7.loss_mask: 0.6972, decode.d7.loss_dice: 1.0405, decode.d8.loss_cls: 0.6546, decode.d8.loss_mask: 0.6955, decode.d8.loss_dice: 1.0347, loss: 25.3599, grad_norm: 49.7097 2023-11-12 01:16:28,747 - mmseg - INFO - Iter [17600/160000] lr: 8.900e-05, eta: 20:23:03, time: 0.503, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6447, decode.loss_mask: 0.7011, decode.loss_dice: 0.9929, decode.d0.loss_cls: 1.6223, decode.d0.loss_mask: 0.7479, decode.d0.loss_dice: 1.1154, decode.d1.loss_cls: 0.7391, decode.d1.loss_mask: 0.7363, decode.d1.loss_dice: 1.0651, decode.d2.loss_cls: 0.6798, decode.d2.loss_mask: 0.7168, decode.d2.loss_dice: 1.0230, decode.d3.loss_cls: 0.6655, decode.d3.loss_mask: 0.7030, decode.d3.loss_dice: 1.0046, decode.d4.loss_cls: 0.6564, decode.d4.loss_mask: 0.7018, decode.d4.loss_dice: 1.0064, decode.d5.loss_cls: 0.6544, decode.d5.loss_mask: 0.7015, decode.d5.loss_dice: 1.0047, decode.d6.loss_cls: 0.6517, decode.d6.loss_mask: 0.6996, decode.d6.loss_dice: 0.9966, decode.d7.loss_cls: 0.6425, decode.d7.loss_mask: 0.6996, decode.d7.loss_dice: 0.9988, decode.d8.loss_cls: 0.6475, decode.d8.loss_mask: 0.7028, decode.d8.loss_dice: 0.9995, loss: 24.9211, grad_norm: 48.7994 2023-11-12 01:16:54,395 - mmseg - INFO - Iter [17650/160000] lr: 8.897e-05, eta: 20:22:36, time: 0.513, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5798, decode.loss_mask: 0.7012, decode.loss_dice: 1.0094, decode.d0.loss_cls: 1.5549, decode.d0.loss_mask: 0.7303, decode.d0.loss_dice: 1.1294, decode.d1.loss_cls: 0.6811, decode.d1.loss_mask: 0.7281, decode.d1.loss_dice: 1.0901, decode.d2.loss_cls: 0.6248, decode.d2.loss_mask: 0.7113, decode.d2.loss_dice: 1.0479, decode.d3.loss_cls: 0.6108, decode.d3.loss_mask: 0.7084, decode.d3.loss_dice: 1.0168, decode.d4.loss_cls: 0.6021, decode.d4.loss_mask: 0.7013, decode.d4.loss_dice: 1.0152, decode.d5.loss_cls: 0.5970, decode.d5.loss_mask: 0.7038, decode.d5.loss_dice: 1.0156, decode.d6.loss_cls: 0.5975, decode.d6.loss_mask: 0.6997, decode.d6.loss_dice: 1.0024, decode.d7.loss_cls: 0.5893, decode.d7.loss_mask: 0.6996, decode.d7.loss_dice: 1.0094, decode.d8.loss_cls: 0.5872, decode.d8.loss_mask: 0.6997, decode.d8.loss_dice: 1.0118, loss: 24.4557, grad_norm: 45.1755 2023-11-12 01:17:21,404 - mmseg - INFO - Iter [17700/160000] lr: 8.894e-05, eta: 20:22:20, time: 0.540, data_time: 0.057, memory: 41146, decode.loss_cls: 0.5851, decode.loss_mask: 0.7074, decode.loss_dice: 0.9752, decode.d0.loss_cls: 1.5896, decode.d0.loss_mask: 0.7468, decode.d0.loss_dice: 1.0986, decode.d1.loss_cls: 0.7040, decode.d1.loss_mask: 0.7325, decode.d1.loss_dice: 1.0450, decode.d2.loss_cls: 0.6320, decode.d2.loss_mask: 0.7139, decode.d2.loss_dice: 1.0082, decode.d3.loss_cls: 0.6120, decode.d3.loss_mask: 0.7081, decode.d3.loss_dice: 0.9883, decode.d4.loss_cls: 0.5987, decode.d4.loss_mask: 0.7066, decode.d4.loss_dice: 0.9883, decode.d5.loss_cls: 0.5947, decode.d5.loss_mask: 0.7079, decode.d5.loss_dice: 0.9828, decode.d6.loss_cls: 0.5978, decode.d6.loss_mask: 0.7016, decode.d6.loss_dice: 0.9770, decode.d7.loss_cls: 0.5854, decode.d7.loss_mask: 0.7034, decode.d7.loss_dice: 0.9832, decode.d8.loss_cls: 0.5874, decode.d8.loss_mask: 0.7055, decode.d8.loss_dice: 0.9810, loss: 24.2478, grad_norm: 45.2050 2023-11-12 01:17:45,609 - mmseg - INFO - Iter [17750/160000] lr: 8.891e-05, eta: 20:21:42, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6120, decode.loss_mask: 0.6941, decode.loss_dice: 0.9937, decode.d0.loss_cls: 1.6163, decode.d0.loss_mask: 0.7270, decode.d0.loss_dice: 1.1210, decode.d1.loss_cls: 0.7241, decode.d1.loss_mask: 0.7210, decode.d1.loss_dice: 1.0591, decode.d2.loss_cls: 0.6668, decode.d2.loss_mask: 0.7039, decode.d2.loss_dice: 1.0119, decode.d3.loss_cls: 0.6436, decode.d3.loss_mask: 0.6985, decode.d3.loss_dice: 0.9955, decode.d4.loss_cls: 0.6306, decode.d4.loss_mask: 0.6959, decode.d4.loss_dice: 1.0043, decode.d5.loss_cls: 0.6214, decode.d5.loss_mask: 0.6963, decode.d5.loss_dice: 0.9995, decode.d6.loss_cls: 0.6199, decode.d6.loss_mask: 0.6940, decode.d6.loss_dice: 0.9927, decode.d7.loss_cls: 0.6174, decode.d7.loss_mask: 0.6934, decode.d7.loss_dice: 0.9977, decode.d8.loss_cls: 0.6115, decode.d8.loss_mask: 0.6965, decode.d8.loss_dice: 1.0001, loss: 24.5597, grad_norm: 45.4783 2023-11-12 01:18:09,830 - mmseg - INFO - Iter [17800/160000] lr: 8.888e-05, eta: 20:21:04, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5853, decode.loss_mask: 0.7088, decode.loss_dice: 0.9914, decode.d0.loss_cls: 1.5986, decode.d0.loss_mask: 0.7382, decode.d0.loss_dice: 1.1080, decode.d1.loss_cls: 0.6992, decode.d1.loss_mask: 0.7349, decode.d1.loss_dice: 1.0656, decode.d2.loss_cls: 0.6332, decode.d2.loss_mask: 0.7156, decode.d2.loss_dice: 1.0225, decode.d3.loss_cls: 0.6110, decode.d3.loss_mask: 0.7118, decode.d3.loss_dice: 1.0034, decode.d4.loss_cls: 0.5974, decode.d4.loss_mask: 0.7146, decode.d4.loss_dice: 1.0086, decode.d5.loss_cls: 0.5934, decode.d5.loss_mask: 0.7118, decode.d5.loss_dice: 1.0038, decode.d6.loss_cls: 0.5905, decode.d6.loss_mask: 0.7048, decode.d6.loss_dice: 0.9926, decode.d7.loss_cls: 0.5907, decode.d7.loss_mask: 0.7051, decode.d7.loss_dice: 0.9917, decode.d8.loss_cls: 0.5862, decode.d8.loss_mask: 0.7097, decode.d8.loss_dice: 0.9945, loss: 24.4229, grad_norm: 49.2807 2023-11-12 01:18:34,080 - mmseg - INFO - Iter [17850/160000] lr: 8.884e-05, eta: 20:20:26, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6347, decode.loss_mask: 0.6728, decode.loss_dice: 0.9961, decode.d0.loss_cls: 1.6593, decode.d0.loss_mask: 0.7035, decode.d0.loss_dice: 1.1358, decode.d1.loss_cls: 0.7412, decode.d1.loss_mask: 0.7038, decode.d1.loss_dice: 1.0633, decode.d2.loss_cls: 0.6782, decode.d2.loss_mask: 0.6877, decode.d2.loss_dice: 1.0291, decode.d3.loss_cls: 0.6563, decode.d3.loss_mask: 0.6764, decode.d3.loss_dice: 1.0028, decode.d4.loss_cls: 0.6496, decode.d4.loss_mask: 0.6753, decode.d4.loss_dice: 1.0028, decode.d5.loss_cls: 0.6389, decode.d5.loss_mask: 0.6765, decode.d5.loss_dice: 1.0027, decode.d6.loss_cls: 0.6336, decode.d6.loss_mask: 0.6739, decode.d6.loss_dice: 0.9893, decode.d7.loss_cls: 0.6336, decode.d7.loss_mask: 0.6727, decode.d7.loss_dice: 0.9976, decode.d8.loss_cls: 0.6334, decode.d8.loss_mask: 0.6719, decode.d8.loss_dice: 0.9930, loss: 24.5861, grad_norm: 46.4720 2023-11-12 01:18:58,281 - mmseg - INFO - Iter [17900/160000] lr: 8.881e-05, eta: 20:19:48, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6050, decode.loss_mask: 0.6965, decode.loss_dice: 1.0204, decode.d0.loss_cls: 1.5805, decode.d0.loss_mask: 0.7199, decode.d0.loss_dice: 1.1396, decode.d1.loss_cls: 0.7112, decode.d1.loss_mask: 0.7143, decode.d1.loss_dice: 1.0866, decode.d2.loss_cls: 0.6562, decode.d2.loss_mask: 0.6986, decode.d2.loss_dice: 1.0410, decode.d3.loss_cls: 0.6250, decode.d3.loss_mask: 0.6944, decode.d3.loss_dice: 1.0264, decode.d4.loss_cls: 0.6158, decode.d4.loss_mask: 0.6986, decode.d4.loss_dice: 1.0273, decode.d5.loss_cls: 0.6128, decode.d5.loss_mask: 0.6989, decode.d5.loss_dice: 1.0264, decode.d6.loss_cls: 0.6083, decode.d6.loss_mask: 0.6946, decode.d6.loss_dice: 1.0132, decode.d7.loss_cls: 0.6087, decode.d7.loss_mask: 0.6935, decode.d7.loss_dice: 1.0258, decode.d8.loss_cls: 0.6020, decode.d8.loss_mask: 0.6985, decode.d8.loss_dice: 1.0198, loss: 24.6594, grad_norm: 49.3700 2023-11-12 01:19:22,559 - mmseg - INFO - Iter [17950/160000] lr: 8.878e-05, eta: 20:19:11, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5829, decode.loss_mask: 0.7207, decode.loss_dice: 0.9971, decode.d0.loss_cls: 1.5803, decode.d0.loss_mask: 0.7572, decode.d0.loss_dice: 1.1153, decode.d1.loss_cls: 0.7010, decode.d1.loss_mask: 0.7463, decode.d1.loss_dice: 1.0602, decode.d2.loss_cls: 0.6254, decode.d2.loss_mask: 0.7330, decode.d2.loss_dice: 1.0188, decode.d3.loss_cls: 0.6043, decode.d3.loss_mask: 0.7242, decode.d3.loss_dice: 0.9986, decode.d4.loss_cls: 0.5933, decode.d4.loss_mask: 0.7245, decode.d4.loss_dice: 1.0020, decode.d5.loss_cls: 0.5886, decode.d5.loss_mask: 0.7239, decode.d5.loss_dice: 0.9983, decode.d6.loss_cls: 0.5782, decode.d6.loss_mask: 0.7242, decode.d6.loss_dice: 0.9996, decode.d7.loss_cls: 0.5832, decode.d7.loss_mask: 0.7181, decode.d7.loss_dice: 0.9957, decode.d8.loss_cls: 0.5872, decode.d8.loss_mask: 0.7233, decode.d8.loss_dice: 0.9952, loss: 24.5006, grad_norm: 49.8451 2023-11-12 01:19:46,643 - mmseg - INFO - Saving checkpoint at 18000 iterations 2023-11-12 01:19:51,401 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 01:19:51,401 - mmseg - INFO - Iter [18000/160000] lr: 8.875e-05, eta: 20:19:09, time: 0.577, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6159, decode.loss_mask: 0.6708, decode.loss_dice: 0.9886, decode.d0.loss_cls: 1.6067, decode.d0.loss_mask: 0.7105, decode.d0.loss_dice: 1.1220, decode.d1.loss_cls: 0.7383, decode.d1.loss_mask: 0.7035, decode.d1.loss_dice: 1.0546, decode.d2.loss_cls: 0.6687, decode.d2.loss_mask: 0.6799, decode.d2.loss_dice: 1.0239, decode.d3.loss_cls: 0.6446, decode.d3.loss_mask: 0.6728, decode.d3.loss_dice: 0.9930, decode.d4.loss_cls: 0.6380, decode.d4.loss_mask: 0.6770, decode.d4.loss_dice: 0.9917, decode.d5.loss_cls: 0.6252, decode.d5.loss_mask: 0.6774, decode.d5.loss_dice: 0.9946, decode.d6.loss_cls: 0.6282, decode.d6.loss_mask: 0.6730, decode.d6.loss_dice: 0.9881, decode.d7.loss_cls: 0.6199, decode.d7.loss_mask: 0.6712, decode.d7.loss_dice: 0.9924, decode.d8.loss_cls: 0.6197, decode.d8.loss_mask: 0.6759, decode.d8.loss_dice: 0.9872, loss: 24.3533, grad_norm: 45.6640 2023-11-12 01:20:15,459 - mmseg - INFO - per class results: 2023-11-12 01:20:15,464 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.97 | 85.93 | | building | 82.78 | 90.29 | | sky | 94.59 | 96.34 | | floor | 82.4 | 86.79 | | tree | 74.97 | 87.73 | | ceiling | 84.66 | 90.45 | | road | 82.52 | 88.32 | | bed | 89.06 | 94.99 | | windowpane | 63.32 | 77.43 | | grass | 63.88 | 77.44 | | cabinet | 61.38 | 82.1 | | sidewalk | 66.99 | 86.69 | | person | 84.78 | 92.89 | | earth | 30.3 | 39.24 | | door | 47.7 | 61.36 | | table | 55.27 | 71.87 | | mountain | 58.43 | 84.71 | | plant | 52.71 | 73.99 | | curtain | 76.32 | 88.45 | | chair | 53.25 | 70.82 | | car | 86.38 | 92.87 | | water | 52.5 | 68.11 | | painting | 63.47 | 92.6 | | sofa | 58.78 | 79.45 | | shelf | 44.43 | 71.58 | | house | 50.75 | 54.92 | | sea | 65.09 | 87.18 | | mirror | 69.22 | 80.46 | | rug | 67.32 | 80.94 | | field | 24.39 | 50.39 | | armchair | 37.99 | 64.51 | | seat | 50.06 | 61.95 | | fence | 44.23 | 65.34 | | desk | 36.17 | 73.21 | | rock | 37.13 | 51.36 | | wardrobe | 47.92 | 69.03 | | lamp | 68.8 | 83.6 | | bathtub | 82.02 | 90.73 | | railing | 34.06 | 51.81 | | cushion | 63.71 | 76.49 | | base | 15.96 | 22.6 | | box | 26.78 | 38.46 | | column | 52.34 | 77.86 | | signboard | 39.06 | 51.42 | | chest of drawers | 43.26 | 81.63 | | counter | 32.3 | 42.92 | | sand | 25.68 | 44.44 | | sink | 73.56 | 79.71 | | skyscraper | 44.75 | 65.93 | | fireplace | 69.92 | 95.47 | | refrigerator | 75.72 | 85.45 | | grandstand | 39.08 | 67.82 | | path | 12.28 | 14.53 | | stairs | 21.73 | 29.73 | | runway | 66.24 | 76.42 | | case | 58.09 | 77.05 | | pool table | 94.29 | 96.45 | | pillow | 61.29 | 74.04 | | screen door | 73.65 | 98.5 | | stairway | 32.06 | 44.84 | | river | 10.24 | 14.68 | | bridge | 76.59 | 86.33 | | bookcase | 30.16 | 36.2 | | blind | 41.04 | 51.41 | | coffee table | 61.61 | 67.28 | | toilet | 84.77 | 89.63 | | flower | 44.45 | 70.43 | | book | 50.4 | 72.47 | | hill | 8.05 | 15.03 | | bench | 35.09 | 44.42 | | countertop | 54.35 | 71.13 | | stove | 74.79 | 79.83 | | palm | 51.95 | 87.21 | | kitchen island | 21.73 | 41.57 | | computer | 72.65 | 81.64 | | swivel chair | 35.35 | 63.01 | | boat | 73.4 | 94.53 | | bar | 40.01 | 58.66 | | arcade machine | 70.73 | 79.37 | | hovel | 39.46 | 73.55 | | bus | 86.37 | 96.59 | | towel | 66.07 | 84.52 | | light | 56.92 | 75.9 | | truck | 44.37 | 58.04 | | tower | 21.82 | 79.77 | | chandelier | 68.59 | 81.12 | | awning | 37.42 | 51.66 | | streetlight | 36.04 | 56.21 | | booth | 26.1 | 38.66 | | television receiver | 76.48 | 83.6 | | airplane | 61.67 | 76.48 | | dirt track | 3.7 | 10.56 | | apparel | 34.91 | 66.34 | | pole | 28.35 | 48.88 | | land | 1.64 | 2.11 | | bannister | 8.29 | 11.33 | | escalator | 18.31 | 18.75 | | ottoman | 47.54 | 75.97 | | bottle | 30.48 | 43.01 | | buffet | 42.96 | 59.25 | | poster | 29.16 | 42.02 | | stage | 18.93 | 30.28 | | van | 44.3 | 69.03 | | ship | 43.72 | 79.76 | | fountain | 4.58 | 5.73 | | conveyer belt | 58.96 | 67.07 | | canopy | 24.91 | 34.27 | | washer | 43.62 | 76.55 | | plaything | 40.25 | 58.89 | | swimming pool | 34.1 | 67.75 | | stool | 41.57 | 62.06 | | barrel | 62.44 | 74.07 | | basket | 40.88 | 62.71 | | waterfall | 37.99 | 60.86 | | tent | 48.98 | 97.95 | | bag | 19.58 | 30.36 | | minibike | 71.79 | 91.01 | | cradle | 86.48 | 98.08 | | oven | 37.52 | 59.78 | | ball | 44.58 | 58.29 | | food | 64.36 | 75.82 | | step | 23.18 | 31.89 | | tank | 30.05 | 31.32 | | trade name | 27.95 | 35.52 | | microwave | 39.83 | 45.07 | | pot | 47.82 | 58.11 | | animal | 72.83 | 84.39 | | bicycle | 64.57 | 82.51 | | lake | 0.0 | 0.0 | | dishwasher | 75.5 | 80.04 | | screen | 59.06 | 88.1 | | blanket | 20.25 | 27.84 | | sculpture | 45.93 | 86.94 | | hood | 56.6 | 68.35 | | sconce | 50.87 | 71.41 | | vase | 44.89 | 75.35 | | traffic light | 35.64 | 62.71 | | tray | 16.74 | 25.11 | | ashcan | 38.0 | 71.04 | | fan | 61.71 | 88.71 | | pier | 1.31 | 1.39 | | crt screen | 12.54 | 14.18 | | plate | 61.04 | 81.78 | | monitor | 4.26 | 4.56 | | bulletin board | 40.72 | 58.06 | | shower | 6.89 | 12.93 | | radiator | 60.74 | 68.32 | | glass | 22.63 | 26.37 | | clock | 36.63 | 49.65 | | flag | 47.75 | 59.05 | +---------------------+-------+-------+ 2023-11-12 01:20:15,464 - mmseg - INFO - Summary: 2023-11-12 01:20:15,464 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 82.44 | 48.03 | 63.53 | +-------+-------+-------+ 2023-11-12 01:20:15,549 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_12000.pth was removed 2023-11-12 01:20:18,941 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_18000.pth. 2023-11-12 01:20:18,942 - mmseg - INFO - Best mIoU is 0.4803 at 18000 iter. 2023-11-12 01:20:18,942 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 01:20:18,942 - mmseg - INFO - Iter(val) [250] aAcc: 0.8244, mIoU: 0.4803, mAcc: 0.6353, IoU.wall: 0.7797, IoU.building: 0.8278, IoU.sky: 0.9459, IoU.floor: 0.8240, IoU.tree: 0.7497, IoU.ceiling: 0.8466, IoU.road: 0.8252, IoU.bed : 0.8906, IoU.windowpane: 0.6332, IoU.grass: 0.6388, IoU.cabinet: 0.6138, IoU.sidewalk: 0.6699, IoU.person: 0.8478, IoU.earth: 0.3030, IoU.door: 0.4770, IoU.table: 0.5527, IoU.mountain: 0.5843, IoU.plant: 0.5271, IoU.curtain: 0.7632, IoU.chair: 0.5325, IoU.car: 0.8638, IoU.water: 0.5250, IoU.painting: 0.6347, IoU.sofa: 0.5878, IoU.shelf: 0.4443, IoU.house: 0.5075, IoU.sea: 0.6509, IoU.mirror: 0.6922, IoU.rug: 0.6732, IoU.field: 0.2439, IoU.armchair: 0.3799, IoU.seat: 0.5006, IoU.fence: 0.4423, IoU.desk: 0.3617, IoU.rock: 0.3713, IoU.wardrobe: 0.4792, IoU.lamp: 0.6880, IoU.bathtub: 0.8202, IoU.railing: 0.3406, IoU.cushion: 0.6371, IoU.base: 0.1596, IoU.box: 0.2678, IoU.column: 0.5234, IoU.signboard: 0.3906, IoU.chest of drawers: 0.4326, IoU.counter: 0.3230, IoU.sand: 0.2568, IoU.sink: 0.7356, IoU.skyscraper: 0.4475, IoU.fireplace: 0.6992, IoU.refrigerator: 0.7572, IoU.grandstand: 0.3908, IoU.path: 0.1228, IoU.stairs: 0.2173, IoU.runway: 0.6624, IoU.case: 0.5809, IoU.pool table: 0.9429, IoU.pillow: 0.6129, IoU.screen door: 0.7365, IoU.stairway: 0.3206, IoU.river: 0.1024, IoU.bridge: 0.7659, IoU.bookcase: 0.3016, IoU.blind: 0.4104, IoU.coffee table: 0.6161, IoU.toilet: 0.8477, IoU.flower: 0.4445, IoU.book: 0.5040, IoU.hill: 0.0805, IoU.bench: 0.3509, IoU.countertop: 0.5435, IoU.stove: 0.7479, IoU.palm: 0.5195, IoU.kitchen island: 0.2173, IoU.computer: 0.7265, IoU.swivel chair: 0.3535, IoU.boat: 0.7340, IoU.bar: 0.4001, IoU.arcade machine: 0.7073, IoU.hovel: 0.3946, IoU.bus: 0.8637, IoU.towel: 0.6607, IoU.light: 0.5692, IoU.truck: 0.4437, IoU.tower: 0.2182, IoU.chandelier: 0.6859, IoU.awning: 0.3742, IoU.streetlight: 0.3604, IoU.booth: 0.2610, IoU.television receiver: 0.7648, IoU.airplane: 0.6167, IoU.dirt track: 0.0370, IoU.apparel: 0.3491, IoU.pole: 0.2835, IoU.land: 0.0164, IoU.bannister: 0.0829, IoU.escalator: 0.1831, IoU.ottoman: 0.4754, IoU.bottle: 0.3048, IoU.buffet: 0.4296, IoU.poster: 0.2916, IoU.stage: 0.1893, IoU.van: 0.4430, IoU.ship: 0.4372, IoU.fountain: 0.0458, IoU.conveyer belt: 0.5896, IoU.canopy: 0.2491, IoU.washer: 0.4362, IoU.plaything: 0.4025, IoU.swimming pool: 0.3410, IoU.stool: 0.4157, IoU.barrel: 0.6244, IoU.basket: 0.4088, IoU.waterfall: 0.3799, IoU.tent: 0.4898, IoU.bag: 0.1958, IoU.minibike: 0.7179, IoU.cradle: 0.8648, IoU.oven: 0.3752, IoU.ball: 0.4458, IoU.food: 0.6436, IoU.step: 0.2318, IoU.tank: 0.3005, IoU.trade name: 0.2795, IoU.microwave: 0.3983, IoU.pot: 0.4782, IoU.animal: 0.7283, IoU.bicycle: 0.6457, IoU.lake: 0.0000, IoU.dishwasher: 0.7550, IoU.screen: 0.5906, IoU.blanket: 0.2025, IoU.sculpture: 0.4593, IoU.hood: 0.5660, IoU.sconce: 0.5087, IoU.vase: 0.4489, IoU.traffic light: 0.3564, IoU.tray: 0.1674, IoU.ashcan: 0.3800, IoU.fan: 0.6171, IoU.pier: 0.0131, IoU.crt screen: 0.1254, IoU.plate: 0.6104, IoU.monitor: 0.0426, IoU.bulletin board: 0.4072, IoU.shower: 0.0689, IoU.radiator: 0.6074, IoU.glass: 0.2263, IoU.clock: 0.3663, IoU.flag: 0.4775, Acc.wall: 0.8593, Acc.building: 0.9029, Acc.sky: 0.9634, Acc.floor: 0.8679, Acc.tree: 0.8773, Acc.ceiling: 0.9045, Acc.road: 0.8832, Acc.bed : 0.9499, Acc.windowpane: 0.7743, Acc.grass: 0.7744, Acc.cabinet: 0.8210, Acc.sidewalk: 0.8669, Acc.person: 0.9289, Acc.earth: 0.3924, Acc.door: 0.6136, Acc.table: 0.7187, Acc.mountain: 0.8471, Acc.plant: 0.7399, Acc.curtain: 0.8845, Acc.chair: 0.7082, Acc.car: 0.9287, Acc.water: 0.6811, Acc.painting: 0.9260, Acc.sofa: 0.7945, Acc.shelf: 0.7158, Acc.house: 0.5492, Acc.sea: 0.8718, Acc.mirror: 0.8046, Acc.rug: 0.8094, Acc.field: 0.5039, Acc.armchair: 0.6451, Acc.seat: 0.6195, Acc.fence: 0.6534, Acc.desk: 0.7321, Acc.rock: 0.5136, Acc.wardrobe: 0.6903, Acc.lamp: 0.8360, Acc.bathtub: 0.9073, Acc.railing: 0.5181, Acc.cushion: 0.7649, Acc.base: 0.2260, Acc.box: 0.3846, Acc.column: 0.7786, Acc.signboard: 0.5142, Acc.chest of drawers: 0.8163, Acc.counter: 0.4292, Acc.sand: 0.4444, Acc.sink: 0.7971, Acc.skyscraper: 0.6593, Acc.fireplace: 0.9547, Acc.refrigerator: 0.8545, Acc.grandstand: 0.6782, Acc.path: 0.1453, Acc.stairs: 0.2973, Acc.runway: 0.7642, Acc.case: 0.7705, Acc.pool table: 0.9645, Acc.pillow: 0.7404, Acc.screen door: 0.9850, Acc.stairway: 0.4484, Acc.river: 0.1468, Acc.bridge: 0.8633, Acc.bookcase: 0.3620, Acc.blind: 0.5141, Acc.coffee table: 0.6728, Acc.toilet: 0.8963, Acc.flower: 0.7043, Acc.book: 0.7247, Acc.hill: 0.1503, Acc.bench: 0.4442, Acc.countertop: 0.7113, Acc.stove: 0.7983, Acc.palm: 0.8721, Acc.kitchen island: 0.4157, Acc.computer: 0.8164, Acc.swivel chair: 0.6301, Acc.boat: 0.9453, Acc.bar: 0.5866, Acc.arcade machine: 0.7937, Acc.hovel: 0.7355, Acc.bus: 0.9659, Acc.towel: 0.8452, Acc.light: 0.7590, Acc.truck: 0.5804, Acc.tower: 0.7977, Acc.chandelier: 0.8112, Acc.awning: 0.5166, Acc.streetlight: 0.5621, Acc.booth: 0.3866, Acc.television receiver: 0.8360, Acc.airplane: 0.7648, Acc.dirt track: 0.1056, Acc.apparel: 0.6634, Acc.pole: 0.4888, Acc.land: 0.0211, Acc.bannister: 0.1133, Acc.escalator: 0.1875, Acc.ottoman: 0.7597, Acc.bottle: 0.4301, Acc.buffet: 0.5925, Acc.poster: 0.4202, Acc.stage: 0.3028, Acc.van: 0.6903, Acc.ship: 0.7976, Acc.fountain: 0.0573, Acc.conveyer belt: 0.6707, Acc.canopy: 0.3427, Acc.washer: 0.7655, Acc.plaything: 0.5889, Acc.swimming pool: 0.6775, Acc.stool: 0.6206, Acc.barrel: 0.7407, Acc.basket: 0.6271, Acc.waterfall: 0.6086, Acc.tent: 0.9795, Acc.bag: 0.3036, Acc.minibike: 0.9101, Acc.cradle: 0.9808, Acc.oven: 0.5978, Acc.ball: 0.5829, Acc.food: 0.7582, Acc.step: 0.3189, Acc.tank: 0.3132, Acc.trade name: 0.3552, Acc.microwave: 0.4507, Acc.pot: 0.5811, Acc.animal: 0.8439, Acc.bicycle: 0.8251, Acc.lake: 0.0000, Acc.dishwasher: 0.8004, Acc.screen: 0.8810, Acc.blanket: 0.2784, Acc.sculpture: 0.8694, Acc.hood: 0.6835, Acc.sconce: 0.7141, Acc.vase: 0.7535, Acc.traffic light: 0.6271, Acc.tray: 0.2511, Acc.ashcan: 0.7104, Acc.fan: 0.8871, Acc.pier: 0.0139, Acc.crt screen: 0.1418, Acc.plate: 0.8178, Acc.monitor: 0.0456, Acc.bulletin board: 0.5806, Acc.shower: 0.1293, Acc.radiator: 0.6832, Acc.glass: 0.2637, Acc.clock: 0.4965, Acc.flag: 0.5905 2023-11-12 01:20:43,313 - mmseg - INFO - Iter [18050/160000] lr: 8.872e-05, eta: 20:22:09, time: 1.038, data_time: 0.563, memory: 41146, decode.loss_cls: 0.6280, decode.loss_mask: 0.7081, decode.loss_dice: 1.0282, decode.d0.loss_cls: 1.6180, decode.d0.loss_mask: 0.7462, decode.d0.loss_dice: 1.1459, decode.d1.loss_cls: 0.7331, decode.d1.loss_mask: 0.7282, decode.d1.loss_dice: 1.0968, decode.d2.loss_cls: 0.6733, decode.d2.loss_mask: 0.7124, decode.d2.loss_dice: 1.0573, decode.d3.loss_cls: 0.6452, decode.d3.loss_mask: 0.7042, decode.d3.loss_dice: 1.0356, decode.d4.loss_cls: 0.6410, decode.d4.loss_mask: 0.7068, decode.d4.loss_dice: 1.0324, decode.d5.loss_cls: 0.6314, decode.d5.loss_mask: 0.7038, decode.d5.loss_dice: 1.0371, decode.d6.loss_cls: 0.6306, decode.d6.loss_mask: 0.7043, decode.d6.loss_dice: 1.0279, decode.d7.loss_cls: 0.6373, decode.d7.loss_mask: 0.7052, decode.d7.loss_dice: 1.0273, decode.d8.loss_cls: 0.6267, decode.d8.loss_mask: 0.7038, decode.d8.loss_dice: 1.0314, loss: 25.1076, grad_norm: 46.9215 2023-11-12 01:21:08,033 - mmseg - INFO - Iter [18100/160000] lr: 8.869e-05, eta: 20:21:35, time: 0.494, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6202, decode.loss_mask: 0.6823, decode.loss_dice: 1.0476, decode.d0.loss_cls: 1.6220, decode.d0.loss_mask: 0.7233, decode.d0.loss_dice: 1.1583, decode.d1.loss_cls: 0.7392, decode.d1.loss_mask: 0.7018, decode.d1.loss_dice: 1.1118, decode.d2.loss_cls: 0.6818, decode.d2.loss_mask: 0.6880, decode.d2.loss_dice: 1.0788, decode.d3.loss_cls: 0.6618, decode.d3.loss_mask: 0.6804, decode.d3.loss_dice: 1.0503, decode.d4.loss_cls: 0.6413, decode.d4.loss_mask: 0.6854, decode.d4.loss_dice: 1.0528, decode.d5.loss_cls: 0.6354, decode.d5.loss_mask: 0.6885, decode.d5.loss_dice: 1.0487, decode.d6.loss_cls: 0.6389, decode.d6.loss_mask: 0.6824, decode.d6.loss_dice: 1.0437, decode.d7.loss_cls: 0.6313, decode.d7.loss_mask: 0.6823, decode.d7.loss_dice: 1.0473, decode.d8.loss_cls: 0.6240, decode.d8.loss_mask: 0.6843, decode.d8.loss_dice: 1.0499, loss: 25.0838, grad_norm: 45.2191 2023-11-12 01:21:32,257 - mmseg - INFO - Iter [18150/160000] lr: 8.866e-05, eta: 20:20:56, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6099, decode.loss_mask: 0.6999, decode.loss_dice: 1.0012, decode.d0.loss_cls: 1.6231, decode.d0.loss_mask: 0.7317, decode.d0.loss_dice: 1.1258, decode.d1.loss_cls: 0.7262, decode.d1.loss_mask: 0.7266, decode.d1.loss_dice: 1.0651, decode.d2.loss_cls: 0.6654, decode.d2.loss_mask: 0.7075, decode.d2.loss_dice: 1.0265, decode.d3.loss_cls: 0.6434, decode.d3.loss_mask: 0.7030, decode.d3.loss_dice: 1.0121, decode.d4.loss_cls: 0.6276, decode.d4.loss_mask: 0.6990, decode.d4.loss_dice: 1.0158, decode.d5.loss_cls: 0.6217, decode.d5.loss_mask: 0.7031, decode.d5.loss_dice: 1.0035, decode.d6.loss_cls: 0.6175, decode.d6.loss_mask: 0.6992, decode.d6.loss_dice: 0.9986, decode.d7.loss_cls: 0.6107, decode.d7.loss_mask: 0.7003, decode.d7.loss_dice: 1.0056, decode.d8.loss_cls: 0.6084, decode.d8.loss_mask: 0.6997, decode.d8.loss_dice: 1.0049, loss: 24.6829, grad_norm: 46.9157 2023-11-12 01:21:56,253 - mmseg - INFO - Iter [18200/160000] lr: 8.863e-05, eta: 20:20:16, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5942, decode.loss_mask: 0.7127, decode.loss_dice: 0.9759, decode.d0.loss_cls: 1.5602, decode.d0.loss_mask: 0.7565, decode.d0.loss_dice: 1.1096, decode.d1.loss_cls: 0.6997, decode.d1.loss_mask: 0.7426, decode.d1.loss_dice: 1.0734, decode.d2.loss_cls: 0.6372, decode.d2.loss_mask: 0.7280, decode.d2.loss_dice: 1.0208, decode.d3.loss_cls: 0.6121, decode.d3.loss_mask: 0.7186, decode.d3.loss_dice: 1.0014, decode.d4.loss_cls: 0.6143, decode.d4.loss_mask: 0.7167, decode.d4.loss_dice: 0.9953, decode.d5.loss_cls: 0.5984, decode.d5.loss_mask: 0.7204, decode.d5.loss_dice: 0.9925, decode.d6.loss_cls: 0.6002, decode.d6.loss_mask: 0.7135, decode.d6.loss_dice: 0.9780, decode.d7.loss_cls: 0.5887, decode.d7.loss_mask: 0.7158, decode.d7.loss_dice: 0.9865, decode.d8.loss_cls: 0.5933, decode.d8.loss_mask: 0.7162, decode.d8.loss_dice: 0.9827, loss: 24.4554, grad_norm: 48.4010 2023-11-12 01:22:20,439 - mmseg - INFO - Iter [18250/160000] lr: 8.859e-05, eta: 20:19:38, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6350, decode.loss_mask: 0.6961, decode.loss_dice: 0.9825, decode.d0.loss_cls: 1.6513, decode.d0.loss_mask: 0.7316, decode.d0.loss_dice: 1.1245, decode.d1.loss_cls: 0.7380, decode.d1.loss_mask: 0.7269, decode.d1.loss_dice: 1.0657, decode.d2.loss_cls: 0.6783, decode.d2.loss_mask: 0.7109, decode.d2.loss_dice: 1.0248, decode.d3.loss_cls: 0.6595, decode.d3.loss_mask: 0.6959, decode.d3.loss_dice: 0.9942, decode.d4.loss_cls: 0.6483, decode.d4.loss_mask: 0.6950, decode.d4.loss_dice: 0.9936, decode.d5.loss_cls: 0.6366, decode.d5.loss_mask: 0.6979, decode.d5.loss_dice: 0.9910, decode.d6.loss_cls: 0.6452, decode.d6.loss_mask: 0.6948, decode.d6.loss_dice: 0.9747, decode.d7.loss_cls: 0.6343, decode.d7.loss_mask: 0.6932, decode.d7.loss_dice: 0.9862, decode.d8.loss_cls: 0.6249, decode.d8.loss_mask: 0.6973, decode.d8.loss_dice: 0.9850, loss: 24.7130, grad_norm: 48.3012 2023-11-12 01:22:44,637 - mmseg - INFO - Iter [18300/160000] lr: 8.856e-05, eta: 20:19:00, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6201, decode.loss_mask: 0.6840, decode.loss_dice: 1.0130, decode.d0.loss_cls: 1.5806, decode.d0.loss_mask: 0.7178, decode.d0.loss_dice: 1.1367, decode.d1.loss_cls: 0.7227, decode.d1.loss_mask: 0.7111, decode.d1.loss_dice: 1.0866, decode.d2.loss_cls: 0.6556, decode.d2.loss_mask: 0.6960, decode.d2.loss_dice: 1.0461, decode.d3.loss_cls: 0.6407, decode.d3.loss_mask: 0.6882, decode.d3.loss_dice: 1.0235, decode.d4.loss_cls: 0.6258, decode.d4.loss_mask: 0.6908, decode.d4.loss_dice: 1.0269, decode.d5.loss_cls: 0.6218, decode.d5.loss_mask: 0.6908, decode.d5.loss_dice: 1.0287, decode.d6.loss_cls: 0.6154, decode.d6.loss_mask: 0.6877, decode.d6.loss_dice: 1.0187, decode.d7.loss_cls: 0.6131, decode.d7.loss_mask: 0.6842, decode.d7.loss_dice: 1.0160, decode.d8.loss_cls: 0.6112, decode.d8.loss_mask: 0.6872, decode.d8.loss_dice: 1.0148, loss: 24.6555, grad_norm: 44.3796 2023-11-12 01:23:08,851 - mmseg - INFO - Iter [18350/160000] lr: 8.853e-05, eta: 20:18:21, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6036, decode.loss_mask: 0.7004, decode.loss_dice: 0.9866, decode.d0.loss_cls: 1.5721, decode.d0.loss_mask: 0.7372, decode.d0.loss_dice: 1.1159, decode.d1.loss_cls: 0.7203, decode.d1.loss_mask: 0.7274, decode.d1.loss_dice: 1.0601, decode.d2.loss_cls: 0.6571, decode.d2.loss_mask: 0.7086, decode.d2.loss_dice: 1.0180, decode.d3.loss_cls: 0.6289, decode.d3.loss_mask: 0.7033, decode.d3.loss_dice: 0.9937, decode.d4.loss_cls: 0.6124, decode.d4.loss_mask: 0.7065, decode.d4.loss_dice: 0.9996, decode.d5.loss_cls: 0.6160, decode.d5.loss_mask: 0.7050, decode.d5.loss_dice: 1.0022, decode.d6.loss_cls: 0.6133, decode.d6.loss_mask: 0.7011, decode.d6.loss_dice: 0.9920, decode.d7.loss_cls: 0.6034, decode.d7.loss_mask: 0.7017, decode.d7.loss_dice: 0.9920, decode.d8.loss_cls: 0.5983, decode.d8.loss_mask: 0.7050, decode.d8.loss_dice: 0.9913, loss: 24.4729, grad_norm: 46.6119 2023-11-12 01:23:33,161 - mmseg - INFO - Iter [18400/160000] lr: 8.850e-05, eta: 20:17:44, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6027, decode.loss_mask: 0.6936, decode.loss_dice: 1.0163, decode.d0.loss_cls: 1.5969, decode.d0.loss_mask: 0.7377, decode.d0.loss_dice: 1.1391, decode.d1.loss_cls: 0.7166, decode.d1.loss_mask: 0.7214, decode.d1.loss_dice: 1.0841, decode.d2.loss_cls: 0.6559, decode.d2.loss_mask: 0.7086, decode.d2.loss_dice: 1.0383, decode.d3.loss_cls: 0.6269, decode.d3.loss_mask: 0.6998, decode.d3.loss_dice: 1.0168, decode.d4.loss_cls: 0.6207, decode.d4.loss_mask: 0.6986, decode.d4.loss_dice: 1.0174, decode.d5.loss_cls: 0.6153, decode.d5.loss_mask: 0.6996, decode.d5.loss_dice: 1.0234, decode.d6.loss_cls: 0.6140, decode.d6.loss_mask: 0.6966, decode.d6.loss_dice: 1.0124, decode.d7.loss_cls: 0.6053, decode.d7.loss_mask: 0.6958, decode.d7.loss_dice: 1.0173, decode.d8.loss_cls: 0.6064, decode.d8.loss_mask: 0.6972, decode.d8.loss_dice: 1.0148, loss: 24.6897, grad_norm: 46.2520 2023-11-12 01:23:57,444 - mmseg - INFO - Iter [18450/160000] lr: 8.847e-05, eta: 20:17:07, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6055, decode.loss_mask: 0.7199, decode.loss_dice: 1.0304, decode.d0.loss_cls: 1.5660, decode.d0.loss_mask: 0.7593, decode.d0.loss_dice: 1.1642, decode.d1.loss_cls: 0.7089, decode.d1.loss_mask: 0.7517, decode.d1.loss_dice: 1.0961, decode.d2.loss_cls: 0.6490, decode.d2.loss_mask: 0.7315, decode.d2.loss_dice: 1.0612, decode.d3.loss_cls: 0.6238, decode.d3.loss_mask: 0.7238, decode.d3.loss_dice: 1.0426, decode.d4.loss_cls: 0.6230, decode.d4.loss_mask: 0.7205, decode.d4.loss_dice: 1.0393, decode.d5.loss_cls: 0.6113, decode.d5.loss_mask: 0.7255, decode.d5.loss_dice: 1.0387, decode.d6.loss_cls: 0.6092, decode.d6.loss_mask: 0.7258, decode.d6.loss_dice: 1.0328, decode.d7.loss_cls: 0.6100, decode.d7.loss_mask: 0.7260, decode.d7.loss_dice: 1.0356, decode.d8.loss_cls: 0.6071, decode.d8.loss_mask: 0.7251, decode.d8.loss_dice: 1.0336, loss: 25.0972, grad_norm: 47.5753 2023-11-12 01:24:22,256 - mmseg - INFO - Iter [18500/160000] lr: 8.844e-05, eta: 20:16:33, time: 0.496, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5828, decode.loss_mask: 0.6951, decode.loss_dice: 1.0164, decode.d0.loss_cls: 1.5878, decode.d0.loss_mask: 0.7312, decode.d0.loss_dice: 1.1163, decode.d1.loss_cls: 0.6913, decode.d1.loss_mask: 0.7214, decode.d1.loss_dice: 1.0773, decode.d2.loss_cls: 0.6283, decode.d2.loss_mask: 0.7004, decode.d2.loss_dice: 1.0476, decode.d3.loss_cls: 0.5962, decode.d3.loss_mask: 0.6980, decode.d3.loss_dice: 1.0223, decode.d4.loss_cls: 0.5853, decode.d4.loss_mask: 0.6962, decode.d4.loss_dice: 1.0183, decode.d5.loss_cls: 0.5888, decode.d5.loss_mask: 0.6962, decode.d5.loss_dice: 1.0238, decode.d6.loss_cls: 0.5817, decode.d6.loss_mask: 0.6894, decode.d6.loss_dice: 1.0143, decode.d7.loss_cls: 0.5808, decode.d7.loss_mask: 0.6908, decode.d7.loss_dice: 1.0167, decode.d8.loss_cls: 0.5813, decode.d8.loss_mask: 0.6925, decode.d8.loss_dice: 1.0154, loss: 24.3840, grad_norm: 47.3906 2023-11-12 01:24:47,252 - mmseg - INFO - Iter [18550/160000] lr: 8.841e-05, eta: 20:16:01, time: 0.500, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5992, decode.loss_mask: 0.7131, decode.loss_dice: 1.0212, decode.d0.loss_cls: 1.5727, decode.d0.loss_mask: 0.7476, decode.d0.loss_dice: 1.1367, decode.d1.loss_cls: 0.7028, decode.d1.loss_mask: 0.7444, decode.d1.loss_dice: 1.0866, decode.d2.loss_cls: 0.6315, decode.d2.loss_mask: 0.7300, decode.d2.loss_dice: 1.0610, decode.d3.loss_cls: 0.6167, decode.d3.loss_mask: 0.7181, decode.d3.loss_dice: 1.0329, decode.d4.loss_cls: 0.6110, decode.d4.loss_mask: 0.7162, decode.d4.loss_dice: 1.0372, decode.d5.loss_cls: 0.6034, decode.d5.loss_mask: 0.7187, decode.d5.loss_dice: 1.0330, decode.d6.loss_cls: 0.6024, decode.d6.loss_mask: 0.7095, decode.d6.loss_dice: 1.0213, decode.d7.loss_cls: 0.5926, decode.d7.loss_mask: 0.7156, decode.d7.loss_dice: 1.0230, decode.d8.loss_cls: 0.5922, decode.d8.loss_mask: 0.7159, decode.d8.loss_dice: 1.0244, loss: 24.8307, grad_norm: 52.0609 2023-11-12 01:25:11,533 - mmseg - INFO - Iter [18600/160000] lr: 8.838e-05, eta: 20:15:24, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5889, decode.loss_mask: 0.6888, decode.loss_dice: 0.9826, decode.d0.loss_cls: 1.5729, decode.d0.loss_mask: 0.7281, decode.d0.loss_dice: 1.1067, decode.d1.loss_cls: 0.6979, decode.d1.loss_mask: 0.7281, decode.d1.loss_dice: 1.0544, decode.d2.loss_cls: 0.6454, decode.d2.loss_mask: 0.7034, decode.d2.loss_dice: 1.0242, decode.d3.loss_cls: 0.6262, decode.d3.loss_mask: 0.6939, decode.d3.loss_dice: 0.9947, decode.d4.loss_cls: 0.6088, decode.d4.loss_mask: 0.6957, decode.d4.loss_dice: 0.9968, decode.d5.loss_cls: 0.6084, decode.d5.loss_mask: 0.6964, decode.d5.loss_dice: 1.0008, decode.d6.loss_cls: 0.6015, decode.d6.loss_mask: 0.6917, decode.d6.loss_dice: 0.9865, decode.d7.loss_cls: 0.5939, decode.d7.loss_mask: 0.6920, decode.d7.loss_dice: 0.9919, decode.d8.loss_cls: 0.5899, decode.d8.loss_mask: 0.6897, decode.d8.loss_dice: 0.9917, loss: 24.2720, grad_norm: 49.9218 2023-11-12 01:25:35,692 - mmseg - INFO - Iter [18650/160000] lr: 8.834e-05, eta: 20:14:46, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6301, decode.loss_mask: 0.6962, decode.loss_dice: 1.0145, decode.d0.loss_cls: 1.6247, decode.d0.loss_mask: 0.7267, decode.d0.loss_dice: 1.1437, decode.d1.loss_cls: 0.7405, decode.d1.loss_mask: 0.7120, decode.d1.loss_dice: 1.0858, decode.d2.loss_cls: 0.6759, decode.d2.loss_mask: 0.7003, decode.d2.loss_dice: 1.0432, decode.d3.loss_cls: 0.6544, decode.d3.loss_mask: 0.6959, decode.d3.loss_dice: 1.0276, decode.d4.loss_cls: 0.6445, decode.d4.loss_mask: 0.6968, decode.d4.loss_dice: 1.0215, decode.d5.loss_cls: 0.6423, decode.d5.loss_mask: 0.6959, decode.d5.loss_dice: 1.0258, decode.d6.loss_cls: 0.6339, decode.d6.loss_mask: 0.6949, decode.d6.loss_dice: 1.0153, decode.d7.loss_cls: 0.6390, decode.d7.loss_mask: 0.6921, decode.d7.loss_dice: 1.0176, decode.d8.loss_cls: 0.6293, decode.d8.loss_mask: 0.6956, decode.d8.loss_dice: 1.0216, loss: 24.9376, grad_norm: 47.5703 2023-11-12 01:25:59,961 - mmseg - INFO - Iter [18700/160000] lr: 8.831e-05, eta: 20:14:09, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6041, decode.loss_mask: 0.6623, decode.loss_dice: 0.9910, decode.d0.loss_cls: 1.6111, decode.d0.loss_mask: 0.6970, decode.d0.loss_dice: 1.1099, decode.d1.loss_cls: 0.7126, decode.d1.loss_mask: 0.6914, decode.d1.loss_dice: 1.0567, decode.d2.loss_cls: 0.6512, decode.d2.loss_mask: 0.6745, decode.d2.loss_dice: 1.0169, decode.d3.loss_cls: 0.6191, decode.d3.loss_mask: 0.6715, decode.d3.loss_dice: 0.9973, decode.d4.loss_cls: 0.6094, decode.d4.loss_mask: 0.6707, decode.d4.loss_dice: 0.9977, decode.d5.loss_cls: 0.6051, decode.d5.loss_mask: 0.6685, decode.d5.loss_dice: 0.9986, decode.d6.loss_cls: 0.6049, decode.d6.loss_mask: 0.6680, decode.d6.loss_dice: 0.9859, decode.d7.loss_cls: 0.5990, decode.d7.loss_mask: 0.6662, decode.d7.loss_dice: 0.9824, decode.d8.loss_cls: 0.5996, decode.d8.loss_mask: 0.6663, decode.d8.loss_dice: 0.9895, loss: 24.0784, grad_norm: 45.0925 2023-11-12 01:26:24,267 - mmseg - INFO - Iter [18750/160000] lr: 8.828e-05, eta: 20:13:32, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5929, decode.loss_mask: 0.7197, decode.loss_dice: 1.0075, decode.d0.loss_cls: 1.5624, decode.d0.loss_mask: 0.7562, decode.d0.loss_dice: 1.1205, decode.d1.loss_cls: 0.7110, decode.d1.loss_mask: 0.7423, decode.d1.loss_dice: 1.0727, decode.d2.loss_cls: 0.6411, decode.d2.loss_mask: 0.7299, decode.d2.loss_dice: 1.0235, decode.d3.loss_cls: 0.6195, decode.d3.loss_mask: 0.7182, decode.d3.loss_dice: 1.0116, decode.d4.loss_cls: 0.6106, decode.d4.loss_mask: 0.7223, decode.d4.loss_dice: 1.0101, decode.d5.loss_cls: 0.6049, decode.d5.loss_mask: 0.7244, decode.d5.loss_dice: 1.0078, decode.d6.loss_cls: 0.6109, decode.d6.loss_mask: 0.7178, decode.d6.loss_dice: 1.0032, decode.d7.loss_cls: 0.6001, decode.d7.loss_mask: 0.7165, decode.d7.loss_dice: 1.0059, decode.d8.loss_cls: 0.5944, decode.d8.loss_mask: 0.7182, decode.d8.loss_dice: 1.0064, loss: 24.6829, grad_norm: 50.4430 2023-11-12 01:26:48,450 - mmseg - INFO - Iter [18800/160000] lr: 8.825e-05, eta: 20:12:54, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6220, decode.loss_mask: 0.6677, decode.loss_dice: 0.9957, decode.d0.loss_cls: 1.6045, decode.d0.loss_mask: 0.7082, decode.d0.loss_dice: 1.1199, decode.d1.loss_cls: 0.7185, decode.d1.loss_mask: 0.6902, decode.d1.loss_dice: 1.0680, decode.d2.loss_cls: 0.6653, decode.d2.loss_mask: 0.6780, decode.d2.loss_dice: 1.0291, decode.d3.loss_cls: 0.6449, decode.d3.loss_mask: 0.6712, decode.d3.loss_dice: 1.0070, decode.d4.loss_cls: 0.6313, decode.d4.loss_mask: 0.6685, decode.d4.loss_dice: 1.0069, decode.d5.loss_cls: 0.6318, decode.d5.loss_mask: 0.6665, decode.d5.loss_dice: 1.0071, decode.d6.loss_cls: 0.6258, decode.d6.loss_mask: 0.6638, decode.d6.loss_dice: 0.9995, decode.d7.loss_cls: 0.6299, decode.d7.loss_mask: 0.6628, decode.d7.loss_dice: 1.0006, decode.d8.loss_cls: 0.6224, decode.d8.loss_mask: 0.6637, decode.d8.loss_dice: 1.0004, loss: 24.3714, grad_norm: 46.5204 2023-11-12 01:27:12,429 - mmseg - INFO - Iter [18850/160000] lr: 8.822e-05, eta: 20:12:15, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6020, decode.loss_mask: 0.6627, decode.loss_dice: 0.9832, decode.d0.loss_cls: 1.6208, decode.d0.loss_mask: 0.6894, decode.d0.loss_dice: 1.0986, decode.d1.loss_cls: 0.7109, decode.d1.loss_mask: 0.6878, decode.d1.loss_dice: 1.0479, decode.d2.loss_cls: 0.6374, decode.d2.loss_mask: 0.6676, decode.d2.loss_dice: 1.0115, decode.d3.loss_cls: 0.6215, decode.d3.loss_mask: 0.6669, decode.d3.loss_dice: 0.9841, decode.d4.loss_cls: 0.6130, decode.d4.loss_mask: 0.6657, decode.d4.loss_dice: 0.9905, decode.d5.loss_cls: 0.6061, decode.d5.loss_mask: 0.6663, decode.d5.loss_dice: 0.9893, decode.d6.loss_cls: 0.6081, decode.d6.loss_mask: 0.6597, decode.d6.loss_dice: 0.9798, decode.d7.loss_cls: 0.5992, decode.d7.loss_mask: 0.6617, decode.d7.loss_dice: 0.9844, decode.d8.loss_cls: 0.6034, decode.d8.loss_mask: 0.6660, decode.d8.loss_dice: 0.9877, loss: 23.9735, grad_norm: 48.1710 2023-11-12 01:27:36,983 - mmseg - INFO - Iter [18900/160000] lr: 8.819e-05, eta: 20:11:40, time: 0.491, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6062, decode.loss_mask: 0.6853, decode.loss_dice: 0.9996, decode.d0.loss_cls: 1.6361, decode.d0.loss_mask: 0.7169, decode.d0.loss_dice: 1.1251, decode.d1.loss_cls: 0.7324, decode.d1.loss_mask: 0.7078, decode.d1.loss_dice: 1.0784, decode.d2.loss_cls: 0.6530, decode.d2.loss_mask: 0.6932, decode.d2.loss_dice: 1.0345, decode.d3.loss_cls: 0.6320, decode.d3.loss_mask: 0.6837, decode.d3.loss_dice: 1.0106, decode.d4.loss_cls: 0.6287, decode.d4.loss_mask: 0.6814, decode.d4.loss_dice: 1.0085, decode.d5.loss_cls: 0.6180, decode.d5.loss_mask: 0.6847, decode.d5.loss_dice: 1.0092, decode.d6.loss_cls: 0.6189, decode.d6.loss_mask: 0.6802, decode.d6.loss_dice: 0.9950, decode.d7.loss_cls: 0.6074, decode.d7.loss_mask: 0.6802, decode.d7.loss_dice: 1.0016, decode.d8.loss_cls: 0.6054, decode.d8.loss_mask: 0.6843, decode.d8.loss_dice: 1.0051, loss: 24.5034, grad_norm: 48.4528 2023-11-12 01:28:03,786 - mmseg - INFO - Iter [18950/160000] lr: 8.816e-05, eta: 20:11:22, time: 0.536, data_time: 0.058, memory: 41146, decode.loss_cls: 0.6431, decode.loss_mask: 0.6877, decode.loss_dice: 1.0302, decode.d0.loss_cls: 1.6048, decode.d0.loss_mask: 0.7305, decode.d0.loss_dice: 1.1612, decode.d1.loss_cls: 0.7320, decode.d1.loss_mask: 0.7166, decode.d1.loss_dice: 1.1080, decode.d2.loss_cls: 0.6806, decode.d2.loss_mask: 0.7006, decode.d2.loss_dice: 1.0553, decode.d3.loss_cls: 0.6551, decode.d3.loss_mask: 0.6911, decode.d3.loss_dice: 1.0387, decode.d4.loss_cls: 0.6522, decode.d4.loss_mask: 0.6929, decode.d4.loss_dice: 1.0423, decode.d5.loss_cls: 0.6385, decode.d5.loss_mask: 0.6981, decode.d5.loss_dice: 1.0403, decode.d6.loss_cls: 0.6389, decode.d6.loss_mask: 0.6919, decode.d6.loss_dice: 1.0324, decode.d7.loss_cls: 0.6407, decode.d7.loss_mask: 0.6923, decode.d7.loss_dice: 1.0368, decode.d8.loss_cls: 0.6391, decode.d8.loss_mask: 0.6887, decode.d8.loss_dice: 1.0393, loss: 25.0997, grad_norm: 47.8435 2023-11-12 01:28:27,998 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 01:28:27,998 - mmseg - INFO - Iter [19000/160000] lr: 8.813e-05, eta: 20:10:45, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5945, decode.loss_mask: 0.6664, decode.loss_dice: 1.0141, decode.d0.loss_cls: 1.6020, decode.d0.loss_mask: 0.7034, decode.d0.loss_dice: 1.1338, decode.d1.loss_cls: 0.7125, decode.d1.loss_mask: 0.6894, decode.d1.loss_dice: 1.0854, decode.d2.loss_cls: 0.6545, decode.d2.loss_mask: 0.6758, decode.d2.loss_dice: 1.0491, decode.d3.loss_cls: 0.6191, decode.d3.loss_mask: 0.6663, decode.d3.loss_dice: 1.0238, decode.d4.loss_cls: 0.6102, decode.d4.loss_mask: 0.6660, decode.d4.loss_dice: 1.0209, decode.d5.loss_cls: 0.6010, decode.d5.loss_mask: 0.6604, decode.d5.loss_dice: 1.0199, decode.d6.loss_cls: 0.5961, decode.d6.loss_mask: 0.6650, decode.d6.loss_dice: 1.0064, decode.d7.loss_cls: 0.6056, decode.d7.loss_mask: 0.6636, decode.d7.loss_dice: 1.0106, decode.d8.loss_cls: 0.5923, decode.d8.loss_mask: 0.6649, decode.d8.loss_dice: 1.0165, loss: 24.2897, grad_norm: 48.3695 2023-11-12 01:28:52,207 - mmseg - INFO - Iter [19050/160000] lr: 8.809e-05, eta: 20:10:08, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5877, decode.loss_mask: 0.6845, decode.loss_dice: 1.0019, decode.d0.loss_cls: 1.5700, decode.d0.loss_mask: 0.7232, decode.d0.loss_dice: 1.1260, decode.d1.loss_cls: 0.6986, decode.d1.loss_mask: 0.7083, decode.d1.loss_dice: 1.0754, decode.d2.loss_cls: 0.6354, decode.d2.loss_mask: 0.6930, decode.d2.loss_dice: 1.0363, decode.d3.loss_cls: 0.6127, decode.d3.loss_mask: 0.6821, decode.d3.loss_dice: 1.0101, decode.d4.loss_cls: 0.6036, decode.d4.loss_mask: 0.6926, decode.d4.loss_dice: 1.0094, decode.d5.loss_cls: 0.6030, decode.d5.loss_mask: 0.6879, decode.d5.loss_dice: 1.0135, decode.d6.loss_cls: 0.5956, decode.d6.loss_mask: 0.6854, decode.d6.loss_dice: 1.0019, decode.d7.loss_cls: 0.5843, decode.d7.loss_mask: 0.6841, decode.d7.loss_dice: 1.0088, decode.d8.loss_cls: 0.5810, decode.d8.loss_mask: 0.6860, decode.d8.loss_dice: 1.0064, loss: 24.2885, grad_norm: 47.1238 2023-11-12 01:29:16,124 - mmseg - INFO - Iter [19100/160000] lr: 8.806e-05, eta: 20:09:28, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5613, decode.loss_mask: 0.6831, decode.loss_dice: 0.9398, decode.d0.loss_cls: 1.5507, decode.d0.loss_mask: 0.7237, decode.d0.loss_dice: 1.0638, decode.d1.loss_cls: 0.6702, decode.d1.loss_mask: 0.7042, decode.d1.loss_dice: 0.9998, decode.d2.loss_cls: 0.6149, decode.d2.loss_mask: 0.6854, decode.d2.loss_dice: 0.9700, decode.d3.loss_cls: 0.5871, decode.d3.loss_mask: 0.6840, decode.d3.loss_dice: 0.9530, decode.d4.loss_cls: 0.5726, decode.d4.loss_mask: 0.6800, decode.d4.loss_dice: 0.9535, decode.d5.loss_cls: 0.5801, decode.d5.loss_mask: 0.6776, decode.d5.loss_dice: 0.9434, decode.d6.loss_cls: 0.5733, decode.d6.loss_mask: 0.6783, decode.d6.loss_dice: 0.9351, decode.d7.loss_cls: 0.5725, decode.d7.loss_mask: 0.6767, decode.d7.loss_dice: 0.9455, decode.d8.loss_cls: 0.5699, decode.d8.loss_mask: 0.6745, decode.d8.loss_dice: 0.9391, loss: 23.3631, grad_norm: 47.3138 2023-11-12 01:29:40,173 - mmseg - INFO - Iter [19150/160000] lr: 8.803e-05, eta: 20:08:50, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5476, decode.loss_mask: 0.6916, decode.loss_dice: 0.9924, decode.d0.loss_cls: 1.5189, decode.d0.loss_mask: 0.7248, decode.d0.loss_dice: 1.1095, decode.d1.loss_cls: 0.6574, decode.d1.loss_mask: 0.7166, decode.d1.loss_dice: 1.0519, decode.d2.loss_cls: 0.5958, decode.d2.loss_mask: 0.7001, decode.d2.loss_dice: 1.0242, decode.d3.loss_cls: 0.5698, decode.d3.loss_mask: 0.6886, decode.d3.loss_dice: 1.0116, decode.d4.loss_cls: 0.5622, decode.d4.loss_mask: 0.6875, decode.d4.loss_dice: 1.0007, decode.d5.loss_cls: 0.5529, decode.d5.loss_mask: 0.6911, decode.d5.loss_dice: 1.0006, decode.d6.loss_cls: 0.5519, decode.d6.loss_mask: 0.6878, decode.d6.loss_dice: 0.9908, decode.d7.loss_cls: 0.5513, decode.d7.loss_mask: 0.6911, decode.d7.loss_dice: 0.9893, decode.d8.loss_cls: 0.5523, decode.d8.loss_mask: 0.6893, decode.d8.loss_dice: 0.9942, loss: 23.7940, grad_norm: 52.2705 2023-11-12 01:30:04,251 - mmseg - INFO - Iter [19200/160000] lr: 8.800e-05, eta: 20:08:12, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5729, decode.loss_mask: 0.6916, decode.loss_dice: 0.9913, decode.d0.loss_cls: 1.5656, decode.d0.loss_mask: 0.7330, decode.d0.loss_dice: 1.1082, decode.d1.loss_cls: 0.6764, decode.d1.loss_mask: 0.7228, decode.d1.loss_dice: 1.0591, decode.d2.loss_cls: 0.6196, decode.d2.loss_mask: 0.7118, decode.d2.loss_dice: 1.0231, decode.d3.loss_cls: 0.5988, decode.d3.loss_mask: 0.6999, decode.d3.loss_dice: 1.0063, decode.d4.loss_cls: 0.5827, decode.d4.loss_mask: 0.7005, decode.d4.loss_dice: 1.0047, decode.d5.loss_cls: 0.5821, decode.d5.loss_mask: 0.6949, decode.d5.loss_dice: 1.0014, decode.d6.loss_cls: 0.5721, decode.d6.loss_mask: 0.6935, decode.d6.loss_dice: 0.9962, decode.d7.loss_cls: 0.5702, decode.d7.loss_mask: 0.6933, decode.d7.loss_dice: 0.9968, decode.d8.loss_cls: 0.5707, decode.d8.loss_mask: 0.6967, decode.d8.loss_dice: 0.9976, loss: 24.1338, grad_norm: 45.4513 2023-11-12 01:30:28,161 - mmseg - INFO - Iter [19250/160000] lr: 8.797e-05, eta: 20:07:33, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5987, decode.loss_mask: 0.7107, decode.loss_dice: 1.0121, decode.d0.loss_cls: 1.5476, decode.d0.loss_mask: 0.7529, decode.d0.loss_dice: 1.1261, decode.d1.loss_cls: 0.6921, decode.d1.loss_mask: 0.7433, decode.d1.loss_dice: 1.0906, decode.d2.loss_cls: 0.6401, decode.d2.loss_mask: 0.7275, decode.d2.loss_dice: 1.0512, decode.d3.loss_cls: 0.6214, decode.d3.loss_mask: 0.7176, decode.d3.loss_dice: 1.0198, decode.d4.loss_cls: 0.6094, decode.d4.loss_mask: 0.7210, decode.d4.loss_dice: 1.0209, decode.d5.loss_cls: 0.6091, decode.d5.loss_mask: 0.7227, decode.d5.loss_dice: 1.0255, decode.d6.loss_cls: 0.5998, decode.d6.loss_mask: 0.7211, decode.d6.loss_dice: 1.0100, decode.d7.loss_cls: 0.5971, decode.d7.loss_mask: 0.7120, decode.d7.loss_dice: 1.0191, decode.d8.loss_cls: 0.5993, decode.d8.loss_mask: 0.7112, decode.d8.loss_dice: 1.0094, loss: 24.7392, grad_norm: 48.9250 2023-11-12 01:30:53,228 - mmseg - INFO - Iter [19300/160000] lr: 8.794e-05, eta: 20:07:02, time: 0.501, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5832, decode.loss_mask: 0.6869, decode.loss_dice: 1.0004, decode.d0.loss_cls: 1.5921, decode.d0.loss_mask: 0.7238, decode.d0.loss_dice: 1.1168, decode.d1.loss_cls: 0.6874, decode.d1.loss_mask: 0.7084, decode.d1.loss_dice: 1.0706, decode.d2.loss_cls: 0.6310, decode.d2.loss_mask: 0.6938, decode.d2.loss_dice: 1.0414, decode.d3.loss_cls: 0.6104, decode.d3.loss_mask: 0.6860, decode.d3.loss_dice: 1.0085, decode.d4.loss_cls: 0.5961, decode.d4.loss_mask: 0.6867, decode.d4.loss_dice: 1.0105, decode.d5.loss_cls: 0.5937, decode.d5.loss_mask: 0.6844, decode.d5.loss_dice: 1.0067, decode.d6.loss_cls: 0.5868, decode.d6.loss_mask: 0.6850, decode.d6.loss_dice: 0.9996, decode.d7.loss_cls: 0.5885, decode.d7.loss_mask: 0.6821, decode.d7.loss_dice: 1.0030, decode.d8.loss_cls: 0.5867, decode.d8.loss_mask: 0.6814, decode.d8.loss_dice: 1.0018, loss: 24.2338, grad_norm: 46.4841 2023-11-12 01:31:17,614 - mmseg - INFO - Iter [19350/160000] lr: 8.791e-05, eta: 20:06:27, time: 0.488, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5879, decode.loss_mask: 0.6878, decode.loss_dice: 0.9842, decode.d0.loss_cls: 1.5992, decode.d0.loss_mask: 0.7277, decode.d0.loss_dice: 1.1013, decode.d1.loss_cls: 0.7053, decode.d1.loss_mask: 0.7114, decode.d1.loss_dice: 1.0475, decode.d2.loss_cls: 0.6297, decode.d2.loss_mask: 0.6963, decode.d2.loss_dice: 1.0127, decode.d3.loss_cls: 0.6124, decode.d3.loss_mask: 0.6872, decode.d3.loss_dice: 0.9936, decode.d4.loss_cls: 0.5950, decode.d4.loss_mask: 0.6901, decode.d4.loss_dice: 0.9915, decode.d5.loss_cls: 0.5930, decode.d5.loss_mask: 0.6895, decode.d5.loss_dice: 0.9907, decode.d6.loss_cls: 0.5955, decode.d6.loss_mask: 0.6902, decode.d6.loss_dice: 0.9793, decode.d7.loss_cls: 0.5930, decode.d7.loss_mask: 0.6898, decode.d7.loss_dice: 0.9870, decode.d8.loss_cls: 0.5908, decode.d8.loss_mask: 0.6902, decode.d8.loss_dice: 0.9837, loss: 24.1331, grad_norm: 51.4279 2023-11-12 01:31:42,289 - mmseg - INFO - Iter [19400/160000] lr: 8.788e-05, eta: 20:05:53, time: 0.493, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5976, decode.loss_mask: 0.6426, decode.loss_dice: 0.9869, decode.d0.loss_cls: 1.5848, decode.d0.loss_mask: 0.6804, decode.d0.loss_dice: 1.1190, decode.d1.loss_cls: 0.6995, decode.d1.loss_mask: 0.6644, decode.d1.loss_dice: 1.0614, decode.d2.loss_cls: 0.6296, decode.d2.loss_mask: 0.6547, decode.d2.loss_dice: 1.0246, decode.d3.loss_cls: 0.6086, decode.d3.loss_mask: 0.6432, decode.d3.loss_dice: 1.0053, decode.d4.loss_cls: 0.6058, decode.d4.loss_mask: 0.6442, decode.d4.loss_dice: 1.0021, decode.d5.loss_cls: 0.6041, decode.d5.loss_mask: 0.6435, decode.d5.loss_dice: 1.0004, decode.d6.loss_cls: 0.6000, decode.d6.loss_mask: 0.6412, decode.d6.loss_dice: 0.9886, decode.d7.loss_cls: 0.5973, decode.d7.loss_mask: 0.6396, decode.d7.loss_dice: 0.9901, decode.d8.loss_cls: 0.5978, decode.d8.loss_mask: 0.6426, decode.d8.loss_dice: 0.9904, loss: 23.7903, grad_norm: 46.4857 2023-11-12 01:32:06,481 - mmseg - INFO - Iter [19450/160000] lr: 8.784e-05, eta: 20:05:16, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5744, decode.loss_mask: 0.6627, decode.loss_dice: 0.9651, decode.d0.loss_cls: 1.5630, decode.d0.loss_mask: 0.6934, decode.d0.loss_dice: 1.0849, decode.d1.loss_cls: 0.6741, decode.d1.loss_mask: 0.6897, decode.d1.loss_dice: 1.0319, decode.d2.loss_cls: 0.6141, decode.d2.loss_mask: 0.6712, decode.d2.loss_dice: 1.0056, decode.d3.loss_cls: 0.5955, decode.d3.loss_mask: 0.6702, decode.d3.loss_dice: 0.9798, decode.d4.loss_cls: 0.5908, decode.d4.loss_mask: 0.6653, decode.d4.loss_dice: 0.9805, decode.d5.loss_cls: 0.5806, decode.d5.loss_mask: 0.6625, decode.d5.loss_dice: 0.9727, decode.d6.loss_cls: 0.5798, decode.d6.loss_mask: 0.6600, decode.d6.loss_dice: 0.9646, decode.d7.loss_cls: 0.5782, decode.d7.loss_mask: 0.6586, decode.d7.loss_dice: 0.9598, decode.d8.loss_cls: 0.5755, decode.d8.loss_mask: 0.6579, decode.d8.loss_dice: 0.9697, loss: 23.5322, grad_norm: 46.2940 2023-11-12 01:32:30,710 - mmseg - INFO - Iter [19500/160000] lr: 8.781e-05, eta: 20:04:40, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5687, decode.loss_mask: 0.6581, decode.loss_dice: 0.9721, decode.d0.loss_cls: 1.5803, decode.d0.loss_mask: 0.6899, decode.d0.loss_dice: 1.1046, decode.d1.loss_cls: 0.7007, decode.d1.loss_mask: 0.6786, decode.d1.loss_dice: 1.0359, decode.d2.loss_cls: 0.6277, decode.d2.loss_mask: 0.6641, decode.d2.loss_dice: 1.0007, decode.d3.loss_cls: 0.5931, decode.d3.loss_mask: 0.6550, decode.d3.loss_dice: 0.9834, decode.d4.loss_cls: 0.5849, decode.d4.loss_mask: 0.6527, decode.d4.loss_dice: 0.9772, decode.d5.loss_cls: 0.5898, decode.d5.loss_mask: 0.6518, decode.d5.loss_dice: 0.9805, decode.d6.loss_cls: 0.5846, decode.d6.loss_mask: 0.6532, decode.d6.loss_dice: 0.9730, decode.d7.loss_cls: 0.5837, decode.d7.loss_mask: 0.6568, decode.d7.loss_dice: 0.9717, decode.d8.loss_cls: 0.5830, decode.d8.loss_mask: 0.6542, decode.d8.loss_dice: 0.9726, loss: 23.5826, grad_norm: 45.6589 2023-11-12 01:32:55,854 - mmseg - INFO - Iter [19550/160000] lr: 8.778e-05, eta: 20:04:10, time: 0.503, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6076, decode.loss_mask: 0.6695, decode.loss_dice: 1.0004, decode.d0.loss_cls: 1.6001, decode.d0.loss_mask: 0.7181, decode.d0.loss_dice: 1.1395, decode.d1.loss_cls: 0.7308, decode.d1.loss_mask: 0.7007, decode.d1.loss_dice: 1.0703, decode.d2.loss_cls: 0.6552, decode.d2.loss_mask: 0.6821, decode.d2.loss_dice: 1.0353, decode.d3.loss_cls: 0.6385, decode.d3.loss_mask: 0.6731, decode.d3.loss_dice: 1.0085, decode.d4.loss_cls: 0.6316, decode.d4.loss_mask: 0.6702, decode.d4.loss_dice: 1.0110, decode.d5.loss_cls: 0.6282, decode.d5.loss_mask: 0.6649, decode.d5.loss_dice: 1.0061, decode.d6.loss_cls: 0.6168, decode.d6.loss_mask: 0.6687, decode.d6.loss_dice: 0.9973, decode.d7.loss_cls: 0.6144, decode.d7.loss_mask: 0.6685, decode.d7.loss_dice: 1.0006, decode.d8.loss_cls: 0.6136, decode.d8.loss_mask: 0.6653, decode.d8.loss_dice: 0.9995, loss: 24.3863, grad_norm: 45.8695 2023-11-12 01:33:19,934 - mmseg - INFO - Iter [19600/160000] lr: 8.775e-05, eta: 20:03:33, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6143, decode.loss_mask: 0.7063, decode.loss_dice: 1.0324, decode.d0.loss_cls: 1.6146, decode.d0.loss_mask: 0.7392, decode.d0.loss_dice: 1.1629, decode.d1.loss_cls: 0.7247, decode.d1.loss_mask: 0.7286, decode.d1.loss_dice: 1.1121, decode.d2.loss_cls: 0.6584, decode.d2.loss_mask: 0.7112, decode.d2.loss_dice: 1.0741, decode.d3.loss_cls: 0.6347, decode.d3.loss_mask: 0.7110, decode.d3.loss_dice: 1.0466, decode.d4.loss_cls: 0.6285, decode.d4.loss_mask: 0.7096, decode.d4.loss_dice: 1.0458, decode.d5.loss_cls: 0.6219, decode.d5.loss_mask: 0.7096, decode.d5.loss_dice: 1.0423, decode.d6.loss_cls: 0.6221, decode.d6.loss_mask: 0.7076, decode.d6.loss_dice: 1.0385, decode.d7.loss_cls: 0.6154, decode.d7.loss_mask: 0.7059, decode.d7.loss_dice: 1.0408, decode.d8.loss_cls: 0.6123, decode.d8.loss_mask: 0.7071, decode.d8.loss_dice: 1.0397, loss: 25.1182, grad_norm: 52.3400 2023-11-12 01:33:44,087 - mmseg - INFO - Iter [19650/160000] lr: 8.772e-05, eta: 20:02:56, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5943, decode.loss_mask: 0.6660, decode.loss_dice: 0.9509, decode.d0.loss_cls: 1.5856, decode.d0.loss_mask: 0.7014, decode.d0.loss_dice: 1.0909, decode.d1.loss_cls: 0.7003, decode.d1.loss_mask: 0.6975, decode.d1.loss_dice: 1.0303, decode.d2.loss_cls: 0.6420, decode.d2.loss_mask: 0.6758, decode.d2.loss_dice: 0.9829, decode.d3.loss_cls: 0.6161, decode.d3.loss_mask: 0.6705, decode.d3.loss_dice: 0.9612, decode.d4.loss_cls: 0.6094, decode.d4.loss_mask: 0.6689, decode.d4.loss_dice: 0.9601, decode.d5.loss_cls: 0.6010, decode.d5.loss_mask: 0.6646, decode.d5.loss_dice: 0.9582, decode.d6.loss_cls: 0.6012, decode.d6.loss_mask: 0.6666, decode.d6.loss_dice: 0.9506, decode.d7.loss_cls: 0.5872, decode.d7.loss_mask: 0.6648, decode.d7.loss_dice: 0.9504, decode.d8.loss_cls: 0.5868, decode.d8.loss_mask: 0.6674, decode.d8.loss_dice: 0.9565, loss: 23.6594, grad_norm: 44.8400 2023-11-12 01:34:08,480 - mmseg - INFO - Iter [19700/160000] lr: 8.769e-05, eta: 20:02:21, time: 0.488, data_time: 0.011, memory: 41146, decode.loss_cls: 0.6011, decode.loss_mask: 0.7096, decode.loss_dice: 1.0023, decode.d0.loss_cls: 1.6087, decode.d0.loss_mask: 0.7536, decode.d0.loss_dice: 1.1146, decode.d1.loss_cls: 0.7163, decode.d1.loss_mask: 0.7336, decode.d1.loss_dice: 1.0630, decode.d2.loss_cls: 0.6516, decode.d2.loss_mask: 0.7186, decode.d2.loss_dice: 1.0252, decode.d3.loss_cls: 0.6282, decode.d3.loss_mask: 0.7123, decode.d3.loss_dice: 1.0144, decode.d4.loss_cls: 0.6098, decode.d4.loss_mask: 0.7180, decode.d4.loss_dice: 1.0131, decode.d5.loss_cls: 0.6077, decode.d5.loss_mask: 0.7140, decode.d5.loss_dice: 1.0114, decode.d6.loss_cls: 0.6090, decode.d6.loss_mask: 0.7079, decode.d6.loss_dice: 1.0075, decode.d7.loss_cls: 0.5998, decode.d7.loss_mask: 0.7138, decode.d7.loss_dice: 1.0106, decode.d8.loss_cls: 0.5971, decode.d8.loss_mask: 0.7131, decode.d8.loss_dice: 1.0041, loss: 24.6898, grad_norm: 46.5600 2023-11-12 01:34:32,763 - mmseg - INFO - Iter [19750/160000] lr: 8.766e-05, eta: 20:01:45, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5926, decode.loss_mask: 0.6913, decode.loss_dice: 0.9695, decode.d0.loss_cls: 1.5824, decode.d0.loss_mask: 0.7243, decode.d0.loss_dice: 1.0959, decode.d1.loss_cls: 0.6989, decode.d1.loss_mask: 0.7134, decode.d1.loss_dice: 1.0447, decode.d2.loss_cls: 0.6412, decode.d2.loss_mask: 0.6994, decode.d2.loss_dice: 0.9990, decode.d3.loss_cls: 0.6096, decode.d3.loss_mask: 0.6945, decode.d3.loss_dice: 0.9833, decode.d4.loss_cls: 0.6020, decode.d4.loss_mask: 0.6929, decode.d4.loss_dice: 0.9751, decode.d5.loss_cls: 0.5959, decode.d5.loss_mask: 0.6893, decode.d5.loss_dice: 0.9782, decode.d6.loss_cls: 0.6016, decode.d6.loss_mask: 0.6887, decode.d6.loss_dice: 0.9659, decode.d7.loss_cls: 0.5975, decode.d7.loss_mask: 0.6859, decode.d7.loss_dice: 0.9688, decode.d8.loss_cls: 0.5976, decode.d8.loss_mask: 0.6838, decode.d8.loss_dice: 0.9707, loss: 24.0340, grad_norm: 47.4336 2023-11-12 01:34:56,888 - mmseg - INFO - Iter [19800/160000] lr: 8.763e-05, eta: 20:01:08, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6060, decode.loss_mask: 0.7419, decode.loss_dice: 1.0135, decode.d0.loss_cls: 1.5758, decode.d0.loss_mask: 0.7822, decode.d0.loss_dice: 1.1318, decode.d1.loss_cls: 0.7102, decode.d1.loss_mask: 0.7642, decode.d1.loss_dice: 1.0788, decode.d2.loss_cls: 0.6493, decode.d2.loss_mask: 0.7522, decode.d2.loss_dice: 1.0290, decode.d3.loss_cls: 0.6246, decode.d3.loss_mask: 0.7505, decode.d3.loss_dice: 1.0181, decode.d4.loss_cls: 0.6200, decode.d4.loss_mask: 0.7491, decode.d4.loss_dice: 1.0175, decode.d5.loss_cls: 0.6107, decode.d5.loss_mask: 0.7470, decode.d5.loss_dice: 1.0101, decode.d6.loss_cls: 0.6113, decode.d6.loss_mask: 0.7446, decode.d6.loss_dice: 1.0098, decode.d7.loss_cls: 0.6016, decode.d7.loss_mask: 0.7436, decode.d7.loss_dice: 1.0137, decode.d8.loss_cls: 0.6027, decode.d8.loss_mask: 0.7477, decode.d8.loss_dice: 1.0146, loss: 25.0720, grad_norm: 51.2067 2023-11-12 01:35:20,840 - mmseg - INFO - Iter [19850/160000] lr: 8.759e-05, eta: 20:00:30, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5899, decode.loss_mask: 0.7011, decode.loss_dice: 0.9887, decode.d0.loss_cls: 1.5666, decode.d0.loss_mask: 0.7353, decode.d0.loss_dice: 1.1122, decode.d1.loss_cls: 0.6919, decode.d1.loss_mask: 0.7354, decode.d1.loss_dice: 1.0621, decode.d2.loss_cls: 0.6317, decode.d2.loss_mask: 0.7160, decode.d2.loss_dice: 1.0237, decode.d3.loss_cls: 0.6145, decode.d3.loss_mask: 0.7026, decode.d3.loss_dice: 0.9965, decode.d4.loss_cls: 0.6117, decode.d4.loss_mask: 0.6993, decode.d4.loss_dice: 0.9938, decode.d5.loss_cls: 0.6025, decode.d5.loss_mask: 0.6989, decode.d5.loss_dice: 0.9919, decode.d6.loss_cls: 0.5960, decode.d6.loss_mask: 0.7029, decode.d6.loss_dice: 0.9891, decode.d7.loss_cls: 0.6043, decode.d7.loss_mask: 0.7036, decode.d7.loss_dice: 0.9840, decode.d8.loss_cls: 0.5995, decode.d8.loss_mask: 0.7050, decode.d8.loss_dice: 0.9899, loss: 24.3407, grad_norm: 48.9380 2023-11-12 01:35:44,872 - mmseg - INFO - Iter [19900/160000] lr: 8.756e-05, eta: 19:59:52, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5701, decode.loss_mask: 0.6731, decode.loss_dice: 0.9746, decode.d0.loss_cls: 1.5422, decode.d0.loss_mask: 0.7147, decode.d0.loss_dice: 1.0935, decode.d1.loss_cls: 0.6729, decode.d1.loss_mask: 0.6924, decode.d1.loss_dice: 1.0330, decode.d2.loss_cls: 0.6140, decode.d2.loss_mask: 0.6818, decode.d2.loss_dice: 0.9965, decode.d3.loss_cls: 0.5911, decode.d3.loss_mask: 0.6736, decode.d3.loss_dice: 0.9859, decode.d4.loss_cls: 0.5840, decode.d4.loss_mask: 0.6791, decode.d4.loss_dice: 0.9866, decode.d5.loss_cls: 0.5826, decode.d5.loss_mask: 0.6796, decode.d5.loss_dice: 0.9818, decode.d6.loss_cls: 0.5766, decode.d6.loss_mask: 0.6766, decode.d6.loss_dice: 0.9721, decode.d7.loss_cls: 0.5693, decode.d7.loss_mask: 0.6751, decode.d7.loss_dice: 0.9763, decode.d8.loss_cls: 0.5695, decode.d8.loss_mask: 0.6744, decode.d8.loss_dice: 0.9781, loss: 23.6713, grad_norm: 44.8319 2023-11-12 01:36:08,909 - mmseg - INFO - Iter [19950/160000] lr: 8.753e-05, eta: 19:59:15, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5931, decode.loss_mask: 0.6679, decode.loss_dice: 0.9896, decode.d0.loss_cls: 1.5714, decode.d0.loss_mask: 0.7064, decode.d0.loss_dice: 1.1142, decode.d1.loss_cls: 0.7116, decode.d1.loss_mask: 0.6939, decode.d1.loss_dice: 1.0656, decode.d2.loss_cls: 0.6384, decode.d2.loss_mask: 0.6762, decode.d2.loss_dice: 1.0188, decode.d3.loss_cls: 0.6199, decode.d3.loss_mask: 0.6749, decode.d3.loss_dice: 0.9998, decode.d4.loss_cls: 0.6010, decode.d4.loss_mask: 0.6749, decode.d4.loss_dice: 1.0013, decode.d5.loss_cls: 0.6014, decode.d5.loss_mask: 0.6705, decode.d5.loss_dice: 1.0010, decode.d6.loss_cls: 0.5976, decode.d6.loss_mask: 0.6728, decode.d6.loss_dice: 0.9957, decode.d7.loss_cls: 0.5848, decode.d7.loss_mask: 0.6742, decode.d7.loss_dice: 0.9951, decode.d8.loss_cls: 0.5884, decode.d8.loss_mask: 0.6748, decode.d8.loss_dice: 0.9937, loss: 24.0689, grad_norm: 49.6528 2023-11-12 01:36:33,000 - mmseg - INFO - Saving checkpoint at 20000 iterations 2023-11-12 01:36:36,751 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 01:36:36,751 - mmseg - INFO - Iter [20000/160000] lr: 8.750e-05, eta: 19:59:04, time: 0.557, data_time: 0.013, memory: 41146, decode.loss_cls: 0.6020, decode.loss_mask: 0.6835, decode.loss_dice: 0.9956, decode.d0.loss_cls: 1.6136, decode.d0.loss_mask: 0.7217, decode.d0.loss_dice: 1.1151, decode.d1.loss_cls: 0.7196, decode.d1.loss_mask: 0.7112, decode.d1.loss_dice: 1.0640, decode.d2.loss_cls: 0.6466, decode.d2.loss_mask: 0.6934, decode.d2.loss_dice: 1.0311, decode.d3.loss_cls: 0.6292, decode.d3.loss_mask: 0.6891, decode.d3.loss_dice: 1.0177, decode.d4.loss_cls: 0.6176, decode.d4.loss_mask: 0.6912, decode.d4.loss_dice: 1.0163, decode.d5.loss_cls: 0.6086, decode.d5.loss_mask: 0.6925, decode.d5.loss_dice: 1.0145, decode.d6.loss_cls: 0.6111, decode.d6.loss_mask: 0.6844, decode.d6.loss_dice: 1.0033, decode.d7.loss_cls: 0.5994, decode.d7.loss_mask: 0.6850, decode.d7.loss_dice: 1.0025, decode.d8.loss_cls: 0.6003, decode.d8.loss_mask: 0.6857, decode.d8.loss_dice: 0.9981, loss: 24.4439, grad_norm: 46.7501 2023-11-12 01:37:00,564 - mmseg - INFO - per class results: 2023-11-12 01:37:00,569 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.06 | 86.65 | | building | 82.71 | 91.32 | | sky | 94.85 | 97.13 | | floor | 82.66 | 89.06 | | tree | 75.74 | 88.09 | | ceiling | 83.38 | 89.06 | | road | 84.78 | 89.96 | | bed | 89.55 | 93.86 | | windowpane | 63.69 | 79.7 | | grass | 59.55 | 69.17 | | cabinet | 60.62 | 70.67 | | sidewalk | 65.33 | 82.92 | | person | 85.18 | 92.15 | | earth | 35.42 | 46.68 | | door | 49.42 | 74.05 | | table | 59.43 | 73.16 | | mountain | 57.94 | 69.15 | | plant | 55.08 | 72.39 | | curtain | 77.25 | 89.59 | | chair | 58.83 | 76.64 | | car | 86.74 | 91.42 | | water | 48.82 | 62.5 | | painting | 67.69 | 90.37 | | sofa | 63.25 | 82.4 | | shelf | 44.3 | 60.54 | | house | 54.18 | 65.24 | | sea | 56.73 | 79.21 | | mirror | 67.78 | 85.22 | | rug | 74.58 | 85.97 | | field | 26.69 | 63.72 | | armchair | 38.6 | 54.02 | | seat | 62.44 | 83.85 | | fence | 43.04 | 71.93 | | desk | 40.1 | 70.44 | | rock | 45.13 | 86.73 | | wardrobe | 38.38 | 51.75 | | lamp | 66.68 | 78.14 | | bathtub | 75.59 | 80.6 | | railing | 32.27 | 54.94 | | cushion | 62.71 | 80.59 | | base | 28.35 | 40.25 | | box | 27.27 | 42.63 | | column | 47.14 | 68.78 | | signboard | 40.91 | 57.29 | | chest of drawers | 40.69 | 74.63 | | counter | 43.9 | 53.32 | | sand | 28.27 | 46.64 | | sink | 73.69 | 82.73 | | skyscraper | 27.76 | 31.92 | | fireplace | 73.49 | 92.33 | | refrigerator | 80.99 | 92.67 | | grandstand | 49.26 | 75.82 | | path | 20.46 | 31.93 | | stairs | 25.47 | 31.91 | | runway | 75.17 | 95.91 | | case | 68.23 | 80.9 | | pool table | 93.54 | 96.74 | | pillow | 60.42 | 81.21 | | screen door | 45.79 | 49.77 | | stairway | 24.67 | 47.77 | | river | 11.22 | 19.03 | | bridge | 78.64 | 89.33 | | bookcase | 30.33 | 55.11 | | blind | 36.04 | 42.07 | | coffee table | 65.06 | 79.99 | | toilet | 83.95 | 92.77 | | flower | 35.0 | 68.24 | | book | 49.75 | 78.45 | | hill | 5.13 | 9.53 | | bench | 43.0 | 49.71 | | countertop | 58.65 | 73.75 | | stove | 80.61 | 89.45 | | palm | 53.52 | 71.21 | | kitchen island | 38.34 | 63.52 | | computer | 62.36 | 69.23 | | swivel chair | 35.43 | 65.34 | | boat | 50.68 | 55.74 | | bar | 57.01 | 63.22 | | arcade machine | 48.68 | 52.46 | | hovel | 43.96 | 65.5 | | bus | 92.33 | 95.21 | | towel | 69.52 | 85.16 | | light | 60.78 | 73.94 | | truck | 40.14 | 61.99 | | tower | 28.94 | 54.21 | | chandelier | 61.17 | 86.51 | | awning | 40.26 | 60.49 | | streetlight | 41.17 | 51.89 | | booth | 34.4 | 38.05 | | television receiver | 70.56 | 81.61 | | airplane | 47.06 | 87.78 | | dirt track | 0.0 | 0.0 | | apparel | 25.04 | 42.47 | | pole | 36.67 | 70.19 | | land | 3.33 | 3.73 | | bannister | 12.78 | 18.21 | | escalator | 53.58 | 71.61 | | ottoman | 50.54 | 76.56 | | bottle | 27.83 | 40.18 | | buffet | 57.14 | 80.23 | | poster | 20.93 | 44.37 | | stage | 18.95 | 30.59 | | van | 46.14 | 75.35 | | ship | 4.74 | 6.8 | | fountain | 7.76 | 8.61 | | conveyer belt | 48.34 | 64.28 | | canopy | 16.95 | 21.71 | | washer | 64.34 | 75.84 | | plaything | 22.74 | 66.97 | | swimming pool | 17.83 | 35.91 | | stool | 32.18 | 37.52 | | barrel | 81.74 | 90.08 | | basket | 33.56 | 48.61 | | waterfall | 54.59 | 85.33 | | tent | 94.34 | 97.98 | | bag | 22.88 | 32.21 | | minibike | 66.5 | 90.13 | | cradle | 86.67 | 98.27 | | oven | 44.57 | 57.12 | | ball | 41.35 | 68.14 | | food | 58.19 | 70.57 | | step | 19.2 | 23.2 | | tank | 51.81 | 53.77 | | trade name | 36.12 | 46.87 | | microwave | 81.23 | 90.87 | | pot | 44.91 | 57.52 | | animal | 71.24 | 76.82 | | bicycle | 61.13 | 86.01 | | lake | 2.39 | 2.91 | | dishwasher | 72.66 | 83.76 | | screen | 64.14 | 88.48 | | blanket | 26.78 | 38.29 | | sculpture | 34.06 | 90.68 | | hood | 65.33 | 68.64 | | sconce | 50.22 | 68.13 | | vase | 45.81 | 73.59 | | traffic light | 40.99 | 71.82 | | tray | 12.53 | 17.17 | | ashcan | 43.13 | 63.25 | | fan | 56.41 | 86.02 | | pier | 1.46 | 1.49 | | crt screen | 16.92 | 31.38 | | plate | 60.93 | 82.23 | | monitor | 2.14 | 4.03 | | bulletin board | 32.24 | 58.03 | | shower | 13.19 | 17.99 | | radiator | 69.52 | 82.85 | | glass | 22.64 | 27.19 | | clock | 34.61 | 46.78 | | flag | 50.02 | 56.41 | +---------------------+-------+-------+ 2023-11-12 01:37:00,569 - mmseg - INFO - Summary: 2023-11-12 01:37:00,570 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 82.82 | 49.07 | 64.08 | +-------+-------+-------+ 2023-11-12 01:37:00,667 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_18000.pth was removed 2023-11-12 01:37:04,030 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_20000.pth. 2023-11-12 01:37:04,030 - mmseg - INFO - Best mIoU is 0.4907 at 20000 iter. 2023-11-12 01:37:04,031 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 01:37:04,031 - mmseg - INFO - Iter(val) [250] aAcc: 0.8282, mIoU: 0.4907, mAcc: 0.6408, IoU.wall: 0.7806, IoU.building: 0.8271, IoU.sky: 0.9485, IoU.floor: 0.8266, IoU.tree: 0.7574, IoU.ceiling: 0.8338, IoU.road: 0.8478, IoU.bed : 0.8955, IoU.windowpane: 0.6369, IoU.grass: 0.5955, IoU.cabinet: 0.6062, IoU.sidewalk: 0.6533, IoU.person: 0.8518, IoU.earth: 0.3542, IoU.door: 0.4942, IoU.table: 0.5943, IoU.mountain: 0.5794, IoU.plant: 0.5508, IoU.curtain: 0.7725, IoU.chair: 0.5883, IoU.car: 0.8674, IoU.water: 0.4882, IoU.painting: 0.6769, IoU.sofa: 0.6325, IoU.shelf: 0.4430, IoU.house: 0.5418, IoU.sea: 0.5673, IoU.mirror: 0.6778, IoU.rug: 0.7458, IoU.field: 0.2669, IoU.armchair: 0.3860, IoU.seat: 0.6244, IoU.fence: 0.4304, IoU.desk: 0.4010, IoU.rock: 0.4513, IoU.wardrobe: 0.3838, IoU.lamp: 0.6668, IoU.bathtub: 0.7559, IoU.railing: 0.3227, IoU.cushion: 0.6271, IoU.base: 0.2835, IoU.box: 0.2727, IoU.column: 0.4714, IoU.signboard: 0.4091, IoU.chest of drawers: 0.4069, IoU.counter: 0.4390, IoU.sand: 0.2827, IoU.sink: 0.7369, IoU.skyscraper: 0.2776, IoU.fireplace: 0.7349, IoU.refrigerator: 0.8099, IoU.grandstand: 0.4926, IoU.path: 0.2046, IoU.stairs: 0.2547, IoU.runway: 0.7517, IoU.case: 0.6823, IoU.pool table: 0.9354, IoU.pillow: 0.6042, IoU.screen door: 0.4579, IoU.stairway: 0.2467, IoU.river: 0.1122, IoU.bridge: 0.7864, IoU.bookcase: 0.3033, IoU.blind: 0.3604, IoU.coffee table: 0.6506, IoU.toilet: 0.8395, IoU.flower: 0.3500, IoU.book: 0.4975, IoU.hill: 0.0513, IoU.bench: 0.4300, IoU.countertop: 0.5865, IoU.stove: 0.8061, IoU.palm: 0.5352, IoU.kitchen island: 0.3834, IoU.computer: 0.6236, IoU.swivel chair: 0.3543, IoU.boat: 0.5068, IoU.bar: 0.5701, IoU.arcade machine: 0.4868, IoU.hovel: 0.4396, IoU.bus: 0.9233, IoU.towel: 0.6952, IoU.light: 0.6078, IoU.truck: 0.4014, IoU.tower: 0.2894, IoU.chandelier: 0.6117, IoU.awning: 0.4026, IoU.streetlight: 0.4117, IoU.booth: 0.3440, IoU.television receiver: 0.7056, IoU.airplane: 0.4706, IoU.dirt track: 0.0000, IoU.apparel: 0.2504, IoU.pole: 0.3667, IoU.land: 0.0333, IoU.bannister: 0.1278, IoU.escalator: 0.5358, IoU.ottoman: 0.5054, IoU.bottle: 0.2783, IoU.buffet: 0.5714, IoU.poster: 0.2093, IoU.stage: 0.1895, IoU.van: 0.4614, IoU.ship: 0.0474, IoU.fountain: 0.0776, IoU.conveyer belt: 0.4834, IoU.canopy: 0.1695, IoU.washer: 0.6434, IoU.plaything: 0.2274, IoU.swimming pool: 0.1783, IoU.stool: 0.3218, IoU.barrel: 0.8174, IoU.basket: 0.3356, IoU.waterfall: 0.5459, IoU.tent: 0.9434, IoU.bag: 0.2288, IoU.minibike: 0.6650, IoU.cradle: 0.8667, IoU.oven: 0.4457, IoU.ball: 0.4135, IoU.food: 0.5819, IoU.step: 0.1920, IoU.tank: 0.5181, IoU.trade name: 0.3612, IoU.microwave: 0.8123, IoU.pot: 0.4491, IoU.animal: 0.7124, IoU.bicycle: 0.6113, IoU.lake: 0.0239, IoU.dishwasher: 0.7266, IoU.screen: 0.6414, IoU.blanket: 0.2678, IoU.sculpture: 0.3406, IoU.hood: 0.6533, IoU.sconce: 0.5022, IoU.vase: 0.4581, IoU.traffic light: 0.4099, IoU.tray: 0.1253, IoU.ashcan: 0.4313, IoU.fan: 0.5641, IoU.pier: 0.0146, IoU.crt screen: 0.1692, IoU.plate: 0.6093, IoU.monitor: 0.0214, IoU.bulletin board: 0.3224, IoU.shower: 0.1319, IoU.radiator: 0.6952, IoU.glass: 0.2264, IoU.clock: 0.3461, IoU.flag: 0.5002, Acc.wall: 0.8665, Acc.building: 0.9132, Acc.sky: 0.9713, Acc.floor: 0.8906, Acc.tree: 0.8809, Acc.ceiling: 0.8906, Acc.road: 0.8996, Acc.bed : 0.9386, Acc.windowpane: 0.7970, Acc.grass: 0.6917, Acc.cabinet: 0.7067, Acc.sidewalk: 0.8292, Acc.person: 0.9215, Acc.earth: 0.4668, Acc.door: 0.7405, Acc.table: 0.7316, Acc.mountain: 0.6915, Acc.plant: 0.7239, Acc.curtain: 0.8959, Acc.chair: 0.7664, Acc.car: 0.9142, Acc.water: 0.6250, Acc.painting: 0.9037, Acc.sofa: 0.8240, Acc.shelf: 0.6054, Acc.house: 0.6524, Acc.sea: 0.7921, Acc.mirror: 0.8522, Acc.rug: 0.8597, Acc.field: 0.6372, Acc.armchair: 0.5402, Acc.seat: 0.8385, Acc.fence: 0.7193, Acc.desk: 0.7044, Acc.rock: 0.8673, Acc.wardrobe: 0.5175, Acc.lamp: 0.7814, Acc.bathtub: 0.8060, Acc.railing: 0.5494, Acc.cushion: 0.8059, Acc.base: 0.4025, Acc.box: 0.4263, Acc.column: 0.6878, Acc.signboard: 0.5729, Acc.chest of drawers: 0.7463, Acc.counter: 0.5332, Acc.sand: 0.4664, Acc.sink: 0.8273, Acc.skyscraper: 0.3192, Acc.fireplace: 0.9233, Acc.refrigerator: 0.9267, Acc.grandstand: 0.7582, Acc.path: 0.3193, Acc.stairs: 0.3191, Acc.runway: 0.9591, Acc.case: 0.8090, Acc.pool table: 0.9674, Acc.pillow: 0.8121, Acc.screen door: 0.4977, Acc.stairway: 0.4777, Acc.river: 0.1903, Acc.bridge: 0.8933, Acc.bookcase: 0.5511, Acc.blind: 0.4207, Acc.coffee table: 0.7999, Acc.toilet: 0.9277, Acc.flower: 0.6824, Acc.book: 0.7845, Acc.hill: 0.0953, Acc.bench: 0.4971, Acc.countertop: 0.7375, Acc.stove: 0.8945, Acc.palm: 0.7121, Acc.kitchen island: 0.6352, Acc.computer: 0.6923, Acc.swivel chair: 0.6534, Acc.boat: 0.5574, Acc.bar: 0.6322, Acc.arcade machine: 0.5246, Acc.hovel: 0.6550, Acc.bus: 0.9521, Acc.towel: 0.8516, Acc.light: 0.7394, Acc.truck: 0.6199, Acc.tower: 0.5421, Acc.chandelier: 0.8651, Acc.awning: 0.6049, Acc.streetlight: 0.5189, Acc.booth: 0.3805, Acc.television receiver: 0.8161, Acc.airplane: 0.8778, Acc.dirt track: 0.0000, Acc.apparel: 0.4247, Acc.pole: 0.7019, Acc.land: 0.0373, Acc.bannister: 0.1821, Acc.escalator: 0.7161, Acc.ottoman: 0.7656, Acc.bottle: 0.4018, Acc.buffet: 0.8023, Acc.poster: 0.4437, Acc.stage: 0.3059, Acc.van: 0.7535, Acc.ship: 0.0680, Acc.fountain: 0.0861, Acc.conveyer belt: 0.6428, Acc.canopy: 0.2171, Acc.washer: 0.7584, Acc.plaything: 0.6697, Acc.swimming pool: 0.3591, Acc.stool: 0.3752, Acc.barrel: 0.9008, Acc.basket: 0.4861, Acc.waterfall: 0.8533, Acc.tent: 0.9798, Acc.bag: 0.3221, Acc.minibike: 0.9013, Acc.cradle: 0.9827, Acc.oven: 0.5712, Acc.ball: 0.6814, Acc.food: 0.7057, Acc.step: 0.2320, Acc.tank: 0.5377, Acc.trade name: 0.4687, Acc.microwave: 0.9087, Acc.pot: 0.5752, Acc.animal: 0.7682, Acc.bicycle: 0.8601, Acc.lake: 0.0291, Acc.dishwasher: 0.8376, Acc.screen: 0.8848, Acc.blanket: 0.3829, Acc.sculpture: 0.9068, Acc.hood: 0.6864, Acc.sconce: 0.6813, Acc.vase: 0.7359, Acc.traffic light: 0.7182, Acc.tray: 0.1717, Acc.ashcan: 0.6325, Acc.fan: 0.8602, Acc.pier: 0.0149, Acc.crt screen: 0.3138, Acc.plate: 0.8223, Acc.monitor: 0.0403, Acc.bulletin board: 0.5803, Acc.shower: 0.1799, Acc.radiator: 0.8285, Acc.glass: 0.2719, Acc.clock: 0.4678, Acc.flag: 0.5641 2023-11-12 01:37:28,154 - mmseg - INFO - Iter [20050/160000] lr: 8.747e-05, eta: 20:01:38, time: 1.028, data_time: 0.558, memory: 41146, decode.loss_cls: 0.5835, decode.loss_mask: 0.6874, decode.loss_dice: 0.9755, decode.d0.loss_cls: 1.5517, decode.d0.loss_mask: 0.7145, decode.d0.loss_dice: 1.0946, decode.d1.loss_cls: 0.6846, decode.d1.loss_mask: 0.7126, decode.d1.loss_dice: 1.0364, decode.d2.loss_cls: 0.6248, decode.d2.loss_mask: 0.6984, decode.d2.loss_dice: 1.0076, decode.d3.loss_cls: 0.6045, decode.d3.loss_mask: 0.6910, decode.d3.loss_dice: 0.9857, decode.d4.loss_cls: 0.6019, decode.d4.loss_mask: 0.6881, decode.d4.loss_dice: 0.9875, decode.d5.loss_cls: 0.5954, decode.d5.loss_mask: 0.6858, decode.d5.loss_dice: 0.9865, decode.d6.loss_cls: 0.5969, decode.d6.loss_mask: 0.6836, decode.d6.loss_dice: 0.9727, decode.d7.loss_cls: 0.5883, decode.d7.loss_mask: 0.6865, decode.d7.loss_dice: 0.9761, decode.d8.loss_cls: 0.5876, decode.d8.loss_mask: 0.6845, decode.d8.loss_dice: 0.9767, loss: 23.9511, grad_norm: 49.1457 2023-11-12 01:37:52,533 - mmseg - INFO - Iter [20100/160000] lr: 8.744e-05, eta: 20:01:03, time: 0.488, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6121, decode.loss_mask: 0.6820, decode.loss_dice: 0.9954, decode.d0.loss_cls: 1.5948, decode.d0.loss_mask: 0.7192, decode.d0.loss_dice: 1.1260, decode.d1.loss_cls: 0.7068, decode.d1.loss_mask: 0.7133, decode.d1.loss_dice: 1.0673, decode.d2.loss_cls: 0.6560, decode.d2.loss_mask: 0.6997, decode.d2.loss_dice: 1.0279, decode.d3.loss_cls: 0.6347, decode.d3.loss_mask: 0.6894, decode.d3.loss_dice: 1.0049, decode.d4.loss_cls: 0.6283, decode.d4.loss_mask: 0.6901, decode.d4.loss_dice: 1.0068, decode.d5.loss_cls: 0.6285, decode.d5.loss_mask: 0.6834, decode.d5.loss_dice: 0.9972, decode.d6.loss_cls: 0.6187, decode.d6.loss_mask: 0.6829, decode.d6.loss_dice: 0.9881, decode.d7.loss_cls: 0.6119, decode.d7.loss_mask: 0.6833, decode.d7.loss_dice: 0.9931, decode.d8.loss_cls: 0.6048, decode.d8.loss_mask: 0.6850, decode.d8.loss_dice: 0.9939, loss: 24.4256, grad_norm: 46.7503 2023-11-12 01:38:16,931 - mmseg - INFO - Iter [20150/160000] lr: 8.741e-05, eta: 20:00:28, time: 0.488, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6141, decode.loss_mask: 0.6980, decode.loss_dice: 0.9892, decode.d0.loss_cls: 1.6154, decode.d0.loss_mask: 0.7326, decode.d0.loss_dice: 1.0999, decode.d1.loss_cls: 0.7151, decode.d1.loss_mask: 0.7187, decode.d1.loss_dice: 1.0567, decode.d2.loss_cls: 0.6575, decode.d2.loss_mask: 0.7043, decode.d2.loss_dice: 1.0164, decode.d3.loss_cls: 0.6366, decode.d3.loss_mask: 0.6942, decode.d3.loss_dice: 0.9867, decode.d4.loss_cls: 0.6232, decode.d4.loss_mask: 0.6951, decode.d4.loss_dice: 0.9926, decode.d5.loss_cls: 0.6157, decode.d5.loss_mask: 0.6955, decode.d5.loss_dice: 0.9936, decode.d6.loss_cls: 0.6158, decode.d6.loss_mask: 0.6936, decode.d6.loss_dice: 0.9894, decode.d7.loss_cls: 0.6169, decode.d7.loss_mask: 0.6954, decode.d7.loss_dice: 0.9929, decode.d8.loss_cls: 0.6118, decode.d8.loss_mask: 0.6985, decode.d8.loss_dice: 0.9904, loss: 24.4558, grad_norm: 47.7290 2023-11-12 01:38:40,989 - mmseg - INFO - Iter [20200/160000] lr: 8.738e-05, eta: 19:59:50, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5681, decode.loss_mask: 0.6832, decode.loss_dice: 0.9807, decode.d0.loss_cls: 1.5812, decode.d0.loss_mask: 0.7209, decode.d0.loss_dice: 1.0952, decode.d1.loss_cls: 0.6890, decode.d1.loss_mask: 0.7136, decode.d1.loss_dice: 1.0553, decode.d2.loss_cls: 0.6238, decode.d2.loss_mask: 0.6957, decode.d2.loss_dice: 1.0117, decode.d3.loss_cls: 0.6012, decode.d3.loss_mask: 0.6850, decode.d3.loss_dice: 0.9977, decode.d4.loss_cls: 0.5836, decode.d4.loss_mask: 0.6883, decode.d4.loss_dice: 0.9953, decode.d5.loss_cls: 0.5786, decode.d5.loss_mask: 0.6865, decode.d5.loss_dice: 0.9892, decode.d6.loss_cls: 0.5719, decode.d6.loss_mask: 0.6849, decode.d6.loss_dice: 0.9858, decode.d7.loss_cls: 0.5762, decode.d7.loss_mask: 0.6848, decode.d7.loss_dice: 0.9886, decode.d8.loss_cls: 0.5694, decode.d8.loss_mask: 0.6889, decode.d8.loss_dice: 0.9876, loss: 23.9619, grad_norm: 45.4931 2023-11-12 01:39:07,455 - mmseg - INFO - Iter [20250/160000] lr: 8.734e-05, eta: 19:59:29, time: 0.529, data_time: 0.059, memory: 41146, decode.loss_cls: 0.5780, decode.loss_mask: 0.6603, decode.loss_dice: 0.9967, decode.d0.loss_cls: 1.5750, decode.d0.loss_mask: 0.6943, decode.d0.loss_dice: 1.1159, decode.d1.loss_cls: 0.7064, decode.d1.loss_mask: 0.6815, decode.d1.loss_dice: 1.0621, decode.d2.loss_cls: 0.6268, decode.d2.loss_mask: 0.6693, decode.d2.loss_dice: 1.0257, decode.d3.loss_cls: 0.6051, decode.d3.loss_mask: 0.6623, decode.d3.loss_dice: 1.0073, decode.d4.loss_cls: 0.5914, decode.d4.loss_mask: 0.6660, decode.d4.loss_dice: 1.0077, decode.d5.loss_cls: 0.5931, decode.d5.loss_mask: 0.6621, decode.d5.loss_dice: 1.0016, decode.d6.loss_cls: 0.5895, decode.d6.loss_mask: 0.6523, decode.d6.loss_dice: 0.9972, decode.d7.loss_cls: 0.5885, decode.d7.loss_mask: 0.6589, decode.d7.loss_dice: 0.9941, decode.d8.loss_cls: 0.5800, decode.d8.loss_mask: 0.6610, decode.d8.loss_dice: 1.0028, loss: 23.9129, grad_norm: 43.8158 2023-11-12 01:39:31,594 - mmseg - INFO - Iter [20300/160000] lr: 8.731e-05, eta: 19:58:53, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5563, decode.loss_mask: 0.6527, decode.loss_dice: 0.9586, decode.d0.loss_cls: 1.5591, decode.d0.loss_mask: 0.6892, decode.d0.loss_dice: 1.0799, decode.d1.loss_cls: 0.6746, decode.d1.loss_mask: 0.6812, decode.d1.loss_dice: 1.0270, decode.d2.loss_cls: 0.6052, decode.d2.loss_mask: 0.6636, decode.d2.loss_dice: 0.9892, decode.d3.loss_cls: 0.5795, decode.d3.loss_mask: 0.6583, decode.d3.loss_dice: 0.9696, decode.d4.loss_cls: 0.5691, decode.d4.loss_mask: 0.6592, decode.d4.loss_dice: 0.9697, decode.d5.loss_cls: 0.5639, decode.d5.loss_mask: 0.6547, decode.d5.loss_dice: 0.9634, decode.d6.loss_cls: 0.5589, decode.d6.loss_mask: 0.6523, decode.d6.loss_dice: 0.9629, decode.d7.loss_cls: 0.5595, decode.d7.loss_mask: 0.6529, decode.d7.loss_dice: 0.9602, decode.d8.loss_cls: 0.5573, decode.d8.loss_mask: 0.6526, decode.d8.loss_dice: 0.9559, loss: 23.2362, grad_norm: 44.1707 2023-11-12 01:39:55,661 - mmseg - INFO - Iter [20350/160000] lr: 8.728e-05, eta: 19:58:15, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5765, decode.loss_mask: 0.6870, decode.loss_dice: 0.9925, decode.d0.loss_cls: 1.5610, decode.d0.loss_mask: 0.7381, decode.d0.loss_dice: 1.1300, decode.d1.loss_cls: 0.6960, decode.d1.loss_mask: 0.7147, decode.d1.loss_dice: 1.0667, decode.d2.loss_cls: 0.6236, decode.d2.loss_mask: 0.6956, decode.d2.loss_dice: 1.0221, decode.d3.loss_cls: 0.6035, decode.d3.loss_mask: 0.6896, decode.d3.loss_dice: 1.0020, decode.d4.loss_cls: 0.5979, decode.d4.loss_mask: 0.6898, decode.d4.loss_dice: 1.0000, decode.d5.loss_cls: 0.5927, decode.d5.loss_mask: 0.6885, decode.d5.loss_dice: 1.0001, decode.d6.loss_cls: 0.5888, decode.d6.loss_mask: 0.6838, decode.d6.loss_dice: 0.9970, decode.d7.loss_cls: 0.5828, decode.d7.loss_mask: 0.6862, decode.d7.loss_dice: 0.9937, decode.d8.loss_cls: 0.5774, decode.d8.loss_mask: 0.6882, decode.d8.loss_dice: 0.9941, loss: 24.1600, grad_norm: 49.3564 2023-11-12 01:40:19,826 - mmseg - INFO - Iter [20400/160000] lr: 8.725e-05, eta: 19:57:39, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5497, decode.loss_mask: 0.6777, decode.loss_dice: 0.9623, decode.d0.loss_cls: 1.5566, decode.d0.loss_mask: 0.7086, decode.d0.loss_dice: 1.0679, decode.d1.loss_cls: 0.6661, decode.d1.loss_mask: 0.6984, decode.d1.loss_dice: 1.0279, decode.d2.loss_cls: 0.6008, decode.d2.loss_mask: 0.6831, decode.d2.loss_dice: 0.9802, decode.d3.loss_cls: 0.5775, decode.d3.loss_mask: 0.6766, decode.d3.loss_dice: 0.9610, decode.d4.loss_cls: 0.5700, decode.d4.loss_mask: 0.6761, decode.d4.loss_dice: 0.9612, decode.d5.loss_cls: 0.5632, decode.d5.loss_mask: 0.6730, decode.d5.loss_dice: 0.9577, decode.d6.loss_cls: 0.5612, decode.d6.loss_mask: 0.6712, decode.d6.loss_dice: 0.9541, decode.d7.loss_cls: 0.5469, decode.d7.loss_mask: 0.6762, decode.d7.loss_dice: 0.9605, decode.d8.loss_cls: 0.5469, decode.d8.loss_mask: 0.6785, decode.d8.loss_dice: 0.9601, loss: 23.3513, grad_norm: 46.6727 2023-11-12 01:40:43,758 - mmseg - INFO - Iter [20450/160000] lr: 8.722e-05, eta: 19:57:01, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5674, decode.loss_mask: 0.6933, decode.loss_dice: 0.9905, decode.d0.loss_cls: 1.5671, decode.d0.loss_mask: 0.7340, decode.d0.loss_dice: 1.0928, decode.d1.loss_cls: 0.6741, decode.d1.loss_mask: 0.7271, decode.d1.loss_dice: 1.0535, decode.d2.loss_cls: 0.6102, decode.d2.loss_mask: 0.7081, decode.d2.loss_dice: 1.0147, decode.d3.loss_cls: 0.5962, decode.d3.loss_mask: 0.7015, decode.d3.loss_dice: 1.0010, decode.d4.loss_cls: 0.5958, decode.d4.loss_mask: 0.6971, decode.d4.loss_dice: 0.9994, decode.d5.loss_cls: 0.5811, decode.d5.loss_mask: 0.6993, decode.d5.loss_dice: 0.9968, decode.d6.loss_cls: 0.5816, decode.d6.loss_mask: 0.6909, decode.d6.loss_dice: 0.9907, decode.d7.loss_cls: 0.5789, decode.d7.loss_mask: 0.6950, decode.d7.loss_dice: 0.9909, decode.d8.loss_cls: 0.5731, decode.d8.loss_mask: 0.6916, decode.d8.loss_dice: 0.9897, loss: 24.0834, grad_norm: 50.8431 2023-11-12 01:41:08,075 - mmseg - INFO - Iter [20500/160000] lr: 8.719e-05, eta: 19:56:25, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5568, decode.loss_mask: 0.6748, decode.loss_dice: 0.9870, decode.d0.loss_cls: 1.5600, decode.d0.loss_mask: 0.7161, decode.d0.loss_dice: 1.1146, decode.d1.loss_cls: 0.6655, decode.d1.loss_mask: 0.7011, decode.d1.loss_dice: 1.0639, decode.d2.loss_cls: 0.6098, decode.d2.loss_mask: 0.6869, decode.d2.loss_dice: 1.0181, decode.d3.loss_cls: 0.5814, decode.d3.loss_mask: 0.6744, decode.d3.loss_dice: 1.0010, decode.d4.loss_cls: 0.5732, decode.d4.loss_mask: 0.6776, decode.d4.loss_dice: 1.0021, decode.d5.loss_cls: 0.5626, decode.d5.loss_mask: 0.6743, decode.d5.loss_dice: 0.9981, decode.d6.loss_cls: 0.5594, decode.d6.loss_mask: 0.6743, decode.d6.loss_dice: 0.9873, decode.d7.loss_cls: 0.5526, decode.d7.loss_mask: 0.6721, decode.d7.loss_dice: 0.9948, decode.d8.loss_cls: 0.5543, decode.d8.loss_mask: 0.6730, decode.d8.loss_dice: 0.9925, loss: 23.7597, grad_norm: 46.7926 2023-11-12 01:41:32,829 - mmseg - INFO - Iter [20550/160000] lr: 8.716e-05, eta: 19:55:53, time: 0.495, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5800, decode.loss_mask: 0.6750, decode.loss_dice: 0.9907, decode.d0.loss_cls: 1.5616, decode.d0.loss_mask: 0.7128, decode.d0.loss_dice: 1.1165, decode.d1.loss_cls: 0.6841, decode.d1.loss_mask: 0.7004, decode.d1.loss_dice: 1.0576, decode.d2.loss_cls: 0.6164, decode.d2.loss_mask: 0.6837, decode.d2.loss_dice: 1.0174, decode.d3.loss_cls: 0.5917, decode.d3.loss_mask: 0.6765, decode.d3.loss_dice: 1.0017, decode.d4.loss_cls: 0.5776, decode.d4.loss_mask: 0.6759, decode.d4.loss_dice: 1.0005, decode.d5.loss_cls: 0.5804, decode.d5.loss_mask: 0.6714, decode.d5.loss_dice: 0.9973, decode.d6.loss_cls: 0.5872, decode.d6.loss_mask: 0.6649, decode.d6.loss_dice: 0.9820, decode.d7.loss_cls: 0.5746, decode.d7.loss_mask: 0.6751, decode.d7.loss_dice: 0.9905, decode.d8.loss_cls: 0.5785, decode.d8.loss_mask: 0.6778, decode.d8.loss_dice: 0.9973, loss: 23.8973, grad_norm: 49.1047 2023-11-12 01:41:57,044 - mmseg - INFO - Iter [20600/160000] lr: 8.713e-05, eta: 19:55:17, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5590, decode.loss_mask: 0.6824, decode.loss_dice: 0.9578, decode.d0.loss_cls: 1.5399, decode.d0.loss_mask: 0.7159, decode.d0.loss_dice: 1.0807, decode.d1.loss_cls: 0.6707, decode.d1.loss_mask: 0.7072, decode.d1.loss_dice: 1.0223, decode.d2.loss_cls: 0.5969, decode.d2.loss_mask: 0.6896, decode.d2.loss_dice: 0.9848, decode.d3.loss_cls: 0.5751, decode.d3.loss_mask: 0.6814, decode.d3.loss_dice: 0.9705, decode.d4.loss_cls: 0.5658, decode.d4.loss_mask: 0.6826, decode.d4.loss_dice: 0.9724, decode.d5.loss_cls: 0.5626, decode.d5.loss_mask: 0.6836, decode.d5.loss_dice: 0.9672, decode.d6.loss_cls: 0.5655, decode.d6.loss_mask: 0.6826, decode.d6.loss_dice: 0.9592, decode.d7.loss_cls: 0.5590, decode.d7.loss_mask: 0.6799, decode.d7.loss_dice: 0.9610, decode.d8.loss_cls: 0.5600, decode.d8.loss_mask: 0.6831, decode.d8.loss_dice: 0.9613, loss: 23.4798, grad_norm: 47.0489 2023-11-12 01:42:21,060 - mmseg - INFO - Iter [20650/160000] lr: 8.709e-05, eta: 19:54:40, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5732, decode.loss_mask: 0.6984, decode.loss_dice: 0.9815, decode.d0.loss_cls: 1.5574, decode.d0.loss_mask: 0.7301, decode.d0.loss_dice: 1.1041, decode.d1.loss_cls: 0.6709, decode.d1.loss_mask: 0.7244, decode.d1.loss_dice: 1.0497, decode.d2.loss_cls: 0.6074, decode.d2.loss_mask: 0.7046, decode.d2.loss_dice: 1.0167, decode.d3.loss_cls: 0.5943, decode.d3.loss_mask: 0.6964, decode.d3.loss_dice: 0.9904, decode.d4.loss_cls: 0.5787, decode.d4.loss_mask: 0.7001, decode.d4.loss_dice: 0.9885, decode.d5.loss_cls: 0.5801, decode.d5.loss_mask: 0.6990, decode.d5.loss_dice: 0.9837, decode.d6.loss_cls: 0.5686, decode.d6.loss_mask: 0.6965, decode.d6.loss_dice: 0.9732, decode.d7.loss_cls: 0.5710, decode.d7.loss_mask: 0.6957, decode.d7.loss_dice: 0.9774, decode.d8.loss_cls: 0.5674, decode.d8.loss_mask: 0.7000, decode.d8.loss_dice: 0.9816, loss: 23.9609, grad_norm: 50.0033 2023-11-12 01:42:45,176 - mmseg - INFO - Iter [20700/160000] lr: 8.706e-05, eta: 19:54:03, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5614, decode.loss_mask: 0.6978, decode.loss_dice: 0.9882, decode.d0.loss_cls: 1.5481, decode.d0.loss_mask: 0.7296, decode.d0.loss_dice: 1.1006, decode.d1.loss_cls: 0.6730, decode.d1.loss_mask: 0.7202, decode.d1.loss_dice: 1.0500, decode.d2.loss_cls: 0.6124, decode.d2.loss_mask: 0.7016, decode.d2.loss_dice: 1.0104, decode.d3.loss_cls: 0.5910, decode.d3.loss_mask: 0.6996, decode.d3.loss_dice: 0.9864, decode.d4.loss_cls: 0.5858, decode.d4.loss_mask: 0.6982, decode.d4.loss_dice: 0.9876, decode.d5.loss_cls: 0.5752, decode.d5.loss_mask: 0.6997, decode.d5.loss_dice: 0.9913, decode.d6.loss_cls: 0.5749, decode.d6.loss_mask: 0.6965, decode.d6.loss_dice: 0.9770, decode.d7.loss_cls: 0.5682, decode.d7.loss_mask: 0.6989, decode.d7.loss_dice: 0.9829, decode.d8.loss_cls: 0.5620, decode.d8.loss_mask: 0.6964, decode.d8.loss_dice: 0.9901, loss: 23.9550, grad_norm: 48.1616 2023-11-12 01:43:09,321 - mmseg - INFO - Iter [20750/160000] lr: 8.703e-05, eta: 19:53:27, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5485, decode.loss_mask: 0.6737, decode.loss_dice: 0.9797, decode.d0.loss_cls: 1.5673, decode.d0.loss_mask: 0.7079, decode.d0.loss_dice: 1.0951, decode.d1.loss_cls: 0.6412, decode.d1.loss_mask: 0.7000, decode.d1.loss_dice: 1.0505, decode.d2.loss_cls: 0.5881, decode.d2.loss_mask: 0.6883, decode.d2.loss_dice: 1.0072, decode.d3.loss_cls: 0.5726, decode.d3.loss_mask: 0.6765, decode.d3.loss_dice: 0.9859, decode.d4.loss_cls: 0.5748, decode.d4.loss_mask: 0.6775, decode.d4.loss_dice: 0.9821, decode.d5.loss_cls: 0.5653, decode.d5.loss_mask: 0.6770, decode.d5.loss_dice: 0.9807, decode.d6.loss_cls: 0.5549, decode.d6.loss_mask: 0.6746, decode.d6.loss_dice: 0.9783, decode.d7.loss_cls: 0.5539, decode.d7.loss_mask: 0.6747, decode.d7.loss_dice: 0.9827, decode.d8.loss_cls: 0.5467, decode.d8.loss_mask: 0.6776, decode.d8.loss_dice: 0.9835, loss: 23.5668, grad_norm: 47.4303 2023-11-12 01:43:33,502 - mmseg - INFO - Iter [20800/160000] lr: 8.700e-05, eta: 19:52:51, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5671, decode.loss_mask: 0.6847, decode.loss_dice: 1.0011, decode.d0.loss_cls: 1.5347, decode.d0.loss_mask: 0.7250, decode.d0.loss_dice: 1.1108, decode.d1.loss_cls: 0.6668, decode.d1.loss_mask: 0.7098, decode.d1.loss_dice: 1.0604, decode.d2.loss_cls: 0.6051, decode.d2.loss_mask: 0.6935, decode.d2.loss_dice: 1.0353, decode.d3.loss_cls: 0.5829, decode.d3.loss_mask: 0.6863, decode.d3.loss_dice: 1.0101, decode.d4.loss_cls: 0.5735, decode.d4.loss_mask: 0.6889, decode.d4.loss_dice: 1.0106, decode.d5.loss_cls: 0.5738, decode.d5.loss_mask: 0.6890, decode.d5.loss_dice: 1.0053, decode.d6.loss_cls: 0.5625, decode.d6.loss_mask: 0.6878, decode.d6.loss_dice: 0.9998, decode.d7.loss_cls: 0.5661, decode.d7.loss_mask: 0.6860, decode.d7.loss_dice: 1.0017, decode.d8.loss_cls: 0.5659, decode.d8.loss_mask: 0.6844, decode.d8.loss_dice: 1.0025, loss: 23.9711, grad_norm: 47.6193 2023-11-12 01:43:57,666 - mmseg - INFO - Iter [20850/160000] lr: 8.697e-05, eta: 19:52:15, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5474, decode.loss_mask: 0.6634, decode.loss_dice: 0.9546, decode.d0.loss_cls: 1.5478, decode.d0.loss_mask: 0.6924, decode.d0.loss_dice: 1.0719, decode.d1.loss_cls: 0.6619, decode.d1.loss_mask: 0.6817, decode.d1.loss_dice: 1.0185, decode.d2.loss_cls: 0.5955, decode.d2.loss_mask: 0.6692, decode.d2.loss_dice: 0.9737, decode.d3.loss_cls: 0.5696, decode.d3.loss_mask: 0.6626, decode.d3.loss_dice: 0.9553, decode.d4.loss_cls: 0.5644, decode.d4.loss_mask: 0.6612, decode.d4.loss_dice: 0.9563, decode.d5.loss_cls: 0.5621, decode.d5.loss_mask: 0.6611, decode.d5.loss_dice: 0.9544, decode.d6.loss_cls: 0.5567, decode.d6.loss_mask: 0.6618, decode.d6.loss_dice: 0.9555, decode.d7.loss_cls: 0.5527, decode.d7.loss_mask: 0.6613, decode.d7.loss_dice: 0.9552, decode.d8.loss_cls: 0.5456, decode.d8.loss_mask: 0.6625, decode.d8.loss_dice: 0.9629, loss: 23.1395, grad_norm: 47.3610 2023-11-12 01:44:21,914 - mmseg - INFO - Iter [20900/160000] lr: 8.694e-05, eta: 19:51:40, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5966, decode.loss_mask: 0.7029, decode.loss_dice: 0.9993, decode.d0.loss_cls: 1.5987, decode.d0.loss_mask: 0.7424, decode.d0.loss_dice: 1.1290, decode.d1.loss_cls: 0.7153, decode.d1.loss_mask: 0.7306, decode.d1.loss_dice: 1.0774, decode.d2.loss_cls: 0.6497, decode.d2.loss_mask: 0.7184, decode.d2.loss_dice: 1.0316, decode.d3.loss_cls: 0.6319, decode.d3.loss_mask: 0.7074, decode.d3.loss_dice: 1.0093, decode.d4.loss_cls: 0.6250, decode.d4.loss_mask: 0.7091, decode.d4.loss_dice: 1.0102, decode.d5.loss_cls: 0.6144, decode.d5.loss_mask: 0.7071, decode.d5.loss_dice: 1.0134, decode.d6.loss_cls: 0.6060, decode.d6.loss_mask: 0.7022, decode.d6.loss_dice: 0.9999, decode.d7.loss_cls: 0.6007, decode.d7.loss_mask: 0.7013, decode.d7.loss_dice: 1.0028, decode.d8.loss_cls: 0.5926, decode.d8.loss_mask: 0.7054, decode.d8.loss_dice: 1.0047, loss: 24.6355, grad_norm: 47.2979 2023-11-12 01:44:46,435 - mmseg - INFO - Iter [20950/160000] lr: 8.691e-05, eta: 19:51:06, time: 0.489, data_time: 0.011, memory: 41146, decode.loss_cls: 0.5745, decode.loss_mask: 0.6700, decode.loss_dice: 0.9758, decode.d0.loss_cls: 1.5839, decode.d0.loss_mask: 0.6918, decode.d0.loss_dice: 1.0839, decode.d1.loss_cls: 0.6823, decode.d1.loss_mask: 0.6906, decode.d1.loss_dice: 1.0371, decode.d2.loss_cls: 0.6273, decode.d2.loss_mask: 0.6721, decode.d2.loss_dice: 1.0037, decode.d3.loss_cls: 0.6097, decode.d3.loss_mask: 0.6669, decode.d3.loss_dice: 0.9715, decode.d4.loss_cls: 0.6005, decode.d4.loss_mask: 0.6657, decode.d4.loss_dice: 0.9773, decode.d5.loss_cls: 0.5902, decode.d5.loss_mask: 0.6720, decode.d5.loss_dice: 0.9818, decode.d6.loss_cls: 0.5838, decode.d6.loss_mask: 0.6676, decode.d6.loss_dice: 0.9734, decode.d7.loss_cls: 0.5760, decode.d7.loss_mask: 0.6685, decode.d7.loss_dice: 0.9759, decode.d8.loss_cls: 0.5736, decode.d8.loss_mask: 0.6681, decode.d8.loss_dice: 0.9764, loss: 23.6919, grad_norm: 48.3687 2023-11-12 01:45:10,758 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 01:45:10,758 - mmseg - INFO - Iter [21000/160000] lr: 8.688e-05, eta: 19:50:31, time: 0.488, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5643, decode.loss_mask: 0.6945, decode.loss_dice: 0.9751, decode.d0.loss_cls: 1.5757, decode.d0.loss_mask: 0.7246, decode.d0.loss_dice: 1.0659, decode.d1.loss_cls: 0.6647, decode.d1.loss_mask: 0.7206, decode.d1.loss_dice: 1.0290, decode.d2.loss_cls: 0.6139, decode.d2.loss_mask: 0.7014, decode.d2.loss_dice: 1.0003, decode.d3.loss_cls: 0.5935, decode.d3.loss_mask: 0.6945, decode.d3.loss_dice: 0.9788, decode.d4.loss_cls: 0.5826, decode.d4.loss_mask: 0.6918, decode.d4.loss_dice: 0.9731, decode.d5.loss_cls: 0.5785, decode.d5.loss_mask: 0.6929, decode.d5.loss_dice: 0.9727, decode.d6.loss_cls: 0.5684, decode.d6.loss_mask: 0.6978, decode.d6.loss_dice: 0.9707, decode.d7.loss_cls: 0.5684, decode.d7.loss_mask: 0.6948, decode.d7.loss_dice: 0.9674, decode.d8.loss_cls: 0.5649, decode.d8.loss_mask: 0.6965, decode.d8.loss_dice: 0.9724, loss: 23.7895, grad_norm: 47.3530 2023-11-12 01:45:34,910 - mmseg - INFO - Iter [21050/160000] lr: 8.684e-05, eta: 19:49:55, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5637, decode.loss_mask: 0.6801, decode.loss_dice: 0.9641, decode.d0.loss_cls: 1.5617, decode.d0.loss_mask: 0.7105, decode.d0.loss_dice: 1.0889, decode.d1.loss_cls: 0.6620, decode.d1.loss_mask: 0.7037, decode.d1.loss_dice: 1.0406, decode.d2.loss_cls: 0.5981, decode.d2.loss_mask: 0.6897, decode.d2.loss_dice: 1.0025, decode.d3.loss_cls: 0.5788, decode.d3.loss_mask: 0.6843, decode.d3.loss_dice: 0.9706, decode.d4.loss_cls: 0.5746, decode.d4.loss_mask: 0.6804, decode.d4.loss_dice: 0.9704, decode.d5.loss_cls: 0.5689, decode.d5.loss_mask: 0.6758, decode.d5.loss_dice: 0.9755, decode.d6.loss_cls: 0.5672, decode.d6.loss_mask: 0.6791, decode.d6.loss_dice: 0.9724, decode.d7.loss_cls: 0.5599, decode.d7.loss_mask: 0.6762, decode.d7.loss_dice: 0.9702, decode.d8.loss_cls: 0.5662, decode.d8.loss_mask: 0.6784, decode.d8.loss_dice: 0.9619, loss: 23.5763, grad_norm: 47.4104 2023-11-12 01:45:59,054 - mmseg - INFO - Iter [21100/160000] lr: 8.681e-05, eta: 19:49:19, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5988, decode.loss_mask: 0.6786, decode.loss_dice: 1.0151, decode.d0.loss_cls: 1.6118, decode.d0.loss_mask: 0.7161, decode.d0.loss_dice: 1.1281, decode.d1.loss_cls: 0.7053, decode.d1.loss_mask: 0.7021, decode.d1.loss_dice: 1.0894, decode.d2.loss_cls: 0.6469, decode.d2.loss_mask: 0.6911, decode.d2.loss_dice: 1.0462, decode.d3.loss_cls: 0.6190, decode.d3.loss_mask: 0.6807, decode.d3.loss_dice: 1.0235, decode.d4.loss_cls: 0.6109, decode.d4.loss_mask: 0.6847, decode.d4.loss_dice: 1.0195, decode.d5.loss_cls: 0.6070, decode.d5.loss_mask: 0.6851, decode.d5.loss_dice: 1.0141, decode.d6.loss_cls: 0.6025, decode.d6.loss_mask: 0.6785, decode.d6.loss_dice: 1.0101, decode.d7.loss_cls: 0.6018, decode.d7.loss_mask: 0.6815, decode.d7.loss_dice: 1.0151, decode.d8.loss_cls: 0.6004, decode.d8.loss_mask: 0.6778, decode.d8.loss_dice: 1.0185, loss: 24.4605, grad_norm: 47.8270 2023-11-12 01:46:23,204 - mmseg - INFO - Iter [21150/160000] lr: 8.678e-05, eta: 19:48:44, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5822, decode.loss_mask: 0.6726, decode.loss_dice: 0.9912, decode.d0.loss_cls: 1.5844, decode.d0.loss_mask: 0.7056, decode.d0.loss_dice: 1.1105, decode.d1.loss_cls: 0.6878, decode.d1.loss_mask: 0.6995, decode.d1.loss_dice: 1.0504, decode.d2.loss_cls: 0.6340, decode.d2.loss_mask: 0.6867, decode.d2.loss_dice: 1.0279, decode.d3.loss_cls: 0.6083, decode.d3.loss_mask: 0.6800, decode.d3.loss_dice: 1.0052, decode.d4.loss_cls: 0.6034, decode.d4.loss_mask: 0.6739, decode.d4.loss_dice: 1.0085, decode.d5.loss_cls: 0.5917, decode.d5.loss_mask: 0.6775, decode.d5.loss_dice: 1.0050, decode.d6.loss_cls: 0.5937, decode.d6.loss_mask: 0.6785, decode.d6.loss_dice: 0.9944, decode.d7.loss_cls: 0.5912, decode.d7.loss_mask: 0.6756, decode.d7.loss_dice: 0.9934, decode.d8.loss_cls: 0.5830, decode.d8.loss_mask: 0.6781, decode.d8.loss_dice: 0.9927, loss: 24.0667, grad_norm: 47.0403 2023-11-12 01:46:47,319 - mmseg - INFO - Iter [21200/160000] lr: 8.675e-05, eta: 19:48:08, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5522, decode.loss_mask: 0.6628, decode.loss_dice: 0.9476, decode.d0.loss_cls: 1.5604, decode.d0.loss_mask: 0.6957, decode.d0.loss_dice: 1.0626, decode.d1.loss_cls: 0.6509, decode.d1.loss_mask: 0.6869, decode.d1.loss_dice: 1.0173, decode.d2.loss_cls: 0.5953, decode.d2.loss_mask: 0.6743, decode.d2.loss_dice: 0.9731, decode.d3.loss_cls: 0.5761, decode.d3.loss_mask: 0.6658, decode.d3.loss_dice: 0.9546, decode.d4.loss_cls: 0.5671, decode.d4.loss_mask: 0.6675, decode.d4.loss_dice: 0.9557, decode.d5.loss_cls: 0.5636, decode.d5.loss_mask: 0.6615, decode.d5.loss_dice: 0.9481, decode.d6.loss_cls: 0.5553, decode.d6.loss_mask: 0.6616, decode.d6.loss_dice: 0.9471, decode.d7.loss_cls: 0.5526, decode.d7.loss_mask: 0.6679, decode.d7.loss_dice: 0.9455, decode.d8.loss_cls: 0.5473, decode.d8.loss_mask: 0.6699, decode.d8.loss_dice: 0.9482, loss: 23.1344, grad_norm: 46.7206 2023-11-12 01:47:11,501 - mmseg - INFO - Iter [21250/160000] lr: 8.672e-05, eta: 19:47:32, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.6328, decode.loss_mask: 0.6932, decode.loss_dice: 1.0012, decode.d0.loss_cls: 1.6545, decode.d0.loss_mask: 0.7283, decode.d0.loss_dice: 1.1339, decode.d1.loss_cls: 0.7521, decode.d1.loss_mask: 0.7199, decode.d1.loss_dice: 1.0781, decode.d2.loss_cls: 0.6778, decode.d2.loss_mask: 0.7049, decode.d2.loss_dice: 1.0381, decode.d3.loss_cls: 0.6626, decode.d3.loss_mask: 0.6896, decode.d3.loss_dice: 1.0160, decode.d4.loss_cls: 0.6532, decode.d4.loss_mask: 0.6929, decode.d4.loss_dice: 1.0159, decode.d5.loss_cls: 0.6532, decode.d5.loss_mask: 0.6936, decode.d5.loss_dice: 1.0119, decode.d6.loss_cls: 0.6447, decode.d6.loss_mask: 0.6899, decode.d6.loss_dice: 1.0066, decode.d7.loss_cls: 0.6313, decode.d7.loss_mask: 0.6882, decode.d7.loss_dice: 1.0044, decode.d8.loss_cls: 0.6360, decode.d8.loss_mask: 0.6919, decode.d8.loss_dice: 1.0023, loss: 24.8985, grad_norm: 47.5428 2023-11-12 01:47:35,625 - mmseg - INFO - Iter [21300/160000] lr: 8.669e-05, eta: 19:46:57, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5773, decode.loss_mask: 0.6912, decode.loss_dice: 0.9978, decode.d0.loss_cls: 1.5652, decode.d0.loss_mask: 0.7218, decode.d0.loss_dice: 1.1082, decode.d1.loss_cls: 0.6770, decode.d1.loss_mask: 0.7180, decode.d1.loss_dice: 1.0699, decode.d2.loss_cls: 0.6199, decode.d2.loss_mask: 0.6978, decode.d2.loss_dice: 1.0249, decode.d3.loss_cls: 0.5991, decode.d3.loss_mask: 0.6894, decode.d3.loss_dice: 1.0014, decode.d4.loss_cls: 0.5849, decode.d4.loss_mask: 0.6882, decode.d4.loss_dice: 1.0028, decode.d5.loss_cls: 0.5815, decode.d5.loss_mask: 0.6870, decode.d5.loss_dice: 1.0023, decode.d6.loss_cls: 0.5823, decode.d6.loss_mask: 0.6889, decode.d6.loss_dice: 0.9920, decode.d7.loss_cls: 0.5794, decode.d7.loss_mask: 0.6893, decode.d7.loss_dice: 0.9947, decode.d8.loss_cls: 0.5807, decode.d8.loss_mask: 0.6886, decode.d8.loss_dice: 1.0001, loss: 24.1017, grad_norm: 49.5728 2023-11-12 01:48:00,098 - mmseg - INFO - Iter [21350/160000] lr: 8.666e-05, eta: 19:46:23, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5639, decode.loss_mask: 0.6557, decode.loss_dice: 0.9373, decode.d0.loss_cls: 1.5810, decode.d0.loss_mask: 0.6886, decode.d0.loss_dice: 1.0541, decode.d1.loss_cls: 0.6860, decode.d1.loss_mask: 0.6786, decode.d1.loss_dice: 1.0015, decode.d2.loss_cls: 0.6152, decode.d2.loss_mask: 0.6596, decode.d2.loss_dice: 0.9665, decode.d3.loss_cls: 0.5919, decode.d3.loss_mask: 0.6551, decode.d3.loss_dice: 0.9483, decode.d4.loss_cls: 0.5871, decode.d4.loss_mask: 0.6562, decode.d4.loss_dice: 0.9508, decode.d5.loss_cls: 0.5816, decode.d5.loss_mask: 0.6553, decode.d5.loss_dice: 0.9505, decode.d6.loss_cls: 0.5674, decode.d6.loss_mask: 0.6539, decode.d6.loss_dice: 0.9445, decode.d7.loss_cls: 0.5643, decode.d7.loss_mask: 0.6531, decode.d7.loss_dice: 0.9514, decode.d8.loss_cls: 0.5623, decode.d8.loss_mask: 0.6581, decode.d8.loss_dice: 0.9508, loss: 23.1705, grad_norm: 43.7793 2023-11-12 01:48:24,477 - mmseg - INFO - Iter [21400/160000] lr: 8.663e-05, eta: 19:45:49, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5935, decode.loss_mask: 0.6879, decode.loss_dice: 1.0160, decode.d0.loss_cls: 1.5754, decode.d0.loss_mask: 0.7220, decode.d0.loss_dice: 1.1319, decode.d1.loss_cls: 0.6953, decode.d1.loss_mask: 0.7134, decode.d1.loss_dice: 1.0824, decode.d2.loss_cls: 0.6356, decode.d2.loss_mask: 0.6985, decode.d2.loss_dice: 1.0421, decode.d3.loss_cls: 0.6167, decode.d3.loss_mask: 0.6921, decode.d3.loss_dice: 1.0271, decode.d4.loss_cls: 0.6005, decode.d4.loss_mask: 0.6935, decode.d4.loss_dice: 1.0274, decode.d5.loss_cls: 0.6107, decode.d5.loss_mask: 0.6878, decode.d5.loss_dice: 1.0265, decode.d6.loss_cls: 0.6036, decode.d6.loss_mask: 0.6857, decode.d6.loss_dice: 1.0144, decode.d7.loss_cls: 0.5996, decode.d7.loss_mask: 0.6883, decode.d7.loss_dice: 1.0095, decode.d8.loss_cls: 0.5959, decode.d8.loss_mask: 0.6877, decode.d8.loss_dice: 1.0168, loss: 24.4776, grad_norm: 47.7809 2023-11-12 01:48:48,685 - mmseg - INFO - Iter [21450/160000] lr: 8.659e-05, eta: 19:45:14, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5916, decode.loss_mask: 0.6694, decode.loss_dice: 1.0021, decode.d0.loss_cls: 1.6017, decode.d0.loss_mask: 0.7133, decode.d0.loss_dice: 1.1216, decode.d1.loss_cls: 0.7027, decode.d1.loss_mask: 0.6956, decode.d1.loss_dice: 1.0751, decode.d2.loss_cls: 0.6416, decode.d2.loss_mask: 0.6799, decode.d2.loss_dice: 1.0324, decode.d3.loss_cls: 0.6224, decode.d3.loss_mask: 0.6712, decode.d3.loss_dice: 1.0061, decode.d4.loss_cls: 0.6042, decode.d4.loss_mask: 0.6715, decode.d4.loss_dice: 1.0086, decode.d5.loss_cls: 0.6095, decode.d5.loss_mask: 0.6744, decode.d5.loss_dice: 1.0041, decode.d6.loss_cls: 0.5978, decode.d6.loss_mask: 0.6723, decode.d6.loss_dice: 1.0009, decode.d7.loss_cls: 0.6028, decode.d7.loss_mask: 0.6691, decode.d7.loss_dice: 1.0026, decode.d8.loss_cls: 0.5983, decode.d8.loss_mask: 0.6705, decode.d8.loss_dice: 1.0039, loss: 24.2171, grad_norm: 45.2514 2023-11-12 01:49:15,030 - mmseg - INFO - Iter [21500/160000] lr: 8.656e-05, eta: 19:44:53, time: 0.527, data_time: 0.061, memory: 41146, decode.loss_cls: 0.5437, decode.loss_mask: 0.6864, decode.loss_dice: 0.9740, decode.d0.loss_cls: 1.5452, decode.d0.loss_mask: 0.7194, decode.d0.loss_dice: 1.0859, decode.d1.loss_cls: 0.6491, decode.d1.loss_mask: 0.7147, decode.d1.loss_dice: 1.0460, decode.d2.loss_cls: 0.5887, decode.d2.loss_mask: 0.7005, decode.d2.loss_dice: 1.0136, decode.d3.loss_cls: 0.5666, decode.d3.loss_mask: 0.6946, decode.d3.loss_dice: 0.9946, decode.d4.loss_cls: 0.5549, decode.d4.loss_mask: 0.6907, decode.d4.loss_dice: 0.9923, decode.d5.loss_cls: 0.5598, decode.d5.loss_mask: 0.6875, decode.d5.loss_dice: 0.9830, decode.d6.loss_cls: 0.5467, decode.d6.loss_mask: 0.6893, decode.d6.loss_dice: 0.9777, decode.d7.loss_cls: 0.5440, decode.d7.loss_mask: 0.6884, decode.d7.loss_dice: 0.9825, decode.d8.loss_cls: 0.5422, decode.d8.loss_mask: 0.6893, decode.d8.loss_dice: 0.9816, loss: 23.6330, grad_norm: 49.8585 2023-11-12 01:49:39,297 - mmseg - INFO - Iter [21550/160000] lr: 8.653e-05, eta: 19:44:18, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5451, decode.loss_mask: 0.6725, decode.loss_dice: 0.9737, decode.d0.loss_cls: 1.5478, decode.d0.loss_mask: 0.7062, decode.d0.loss_dice: 1.0931, decode.d1.loss_cls: 0.6554, decode.d1.loss_mask: 0.6944, decode.d1.loss_dice: 1.0535, decode.d2.loss_cls: 0.5989, decode.d2.loss_mask: 0.6866, decode.d2.loss_dice: 1.0022, decode.d3.loss_cls: 0.5736, decode.d3.loss_mask: 0.6780, decode.d3.loss_dice: 0.9800, decode.d4.loss_cls: 0.5602, decode.d4.loss_mask: 0.6777, decode.d4.loss_dice: 0.9815, decode.d5.loss_cls: 0.5569, decode.d5.loss_mask: 0.6754, decode.d5.loss_dice: 0.9751, decode.d6.loss_cls: 0.5533, decode.d6.loss_mask: 0.6723, decode.d6.loss_dice: 0.9789, decode.d7.loss_cls: 0.5532, decode.d7.loss_mask: 0.6767, decode.d7.loss_dice: 0.9790, decode.d8.loss_cls: 0.5445, decode.d8.loss_mask: 0.6739, decode.d8.loss_dice: 0.9769, loss: 23.4966, grad_norm: 46.9785 2023-11-12 01:50:03,501 - mmseg - INFO - Iter [21600/160000] lr: 8.650e-05, eta: 19:43:43, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5816, decode.loss_mask: 0.6550, decode.loss_dice: 0.9844, decode.d0.loss_cls: 1.5860, decode.d0.loss_mask: 0.6913, decode.d0.loss_dice: 1.1049, decode.d1.loss_cls: 0.6996, decode.d1.loss_mask: 0.6795, decode.d1.loss_dice: 1.0559, decode.d2.loss_cls: 0.6426, decode.d2.loss_mask: 0.6706, decode.d2.loss_dice: 1.0078, decode.d3.loss_cls: 0.6122, decode.d3.loss_mask: 0.6605, decode.d3.loss_dice: 0.9942, decode.d4.loss_cls: 0.6033, decode.d4.loss_mask: 0.6614, decode.d4.loss_dice: 0.9927, decode.d5.loss_cls: 0.5925, decode.d5.loss_mask: 0.6618, decode.d5.loss_dice: 0.9876, decode.d6.loss_cls: 0.5921, decode.d6.loss_mask: 0.6569, decode.d6.loss_dice: 0.9792, decode.d7.loss_cls: 0.5772, decode.d7.loss_mask: 0.6592, decode.d7.loss_dice: 0.9801, decode.d8.loss_cls: 0.5814, decode.d8.loss_mask: 0.6551, decode.d8.loss_dice: 0.9910, loss: 23.7975, grad_norm: 44.2422 2023-11-12 01:50:27,623 - mmseg - INFO - Iter [21650/160000] lr: 8.647e-05, eta: 19:43:07, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5581, decode.loss_mask: 0.6841, decode.loss_dice: 0.9745, decode.d0.loss_cls: 1.5522, decode.d0.loss_mask: 0.7086, decode.d0.loss_dice: 1.0819, decode.d1.loss_cls: 0.6649, decode.d1.loss_mask: 0.7068, decode.d1.loss_dice: 1.0363, decode.d2.loss_cls: 0.6028, decode.d2.loss_mask: 0.6921, decode.d2.loss_dice: 1.0124, decode.d3.loss_cls: 0.5802, decode.d3.loss_mask: 0.6896, decode.d3.loss_dice: 0.9951, decode.d4.loss_cls: 0.5701, decode.d4.loss_mask: 0.6858, decode.d4.loss_dice: 0.9898, decode.d5.loss_cls: 0.5637, decode.d5.loss_mask: 0.6842, decode.d5.loss_dice: 0.9833, decode.d6.loss_cls: 0.5593, decode.d6.loss_mask: 0.6841, decode.d6.loss_dice: 0.9745, decode.d7.loss_cls: 0.5590, decode.d7.loss_mask: 0.6841, decode.d7.loss_dice: 0.9771, decode.d8.loss_cls: 0.5575, decode.d8.loss_mask: 0.6803, decode.d8.loss_dice: 0.9785, loss: 23.6711, grad_norm: 50.6759 2023-11-12 01:50:51,712 - mmseg - INFO - Iter [21700/160000] lr: 8.644e-05, eta: 19:42:32, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5470, decode.loss_mask: 0.6766, decode.loss_dice: 0.9772, decode.d0.loss_cls: 1.5575, decode.d0.loss_mask: 0.6996, decode.d0.loss_dice: 1.0867, decode.d1.loss_cls: 0.6513, decode.d1.loss_mask: 0.6977, decode.d1.loss_dice: 1.0444, decode.d2.loss_cls: 0.5892, decode.d2.loss_mask: 0.6842, decode.d2.loss_dice: 1.0094, decode.d3.loss_cls: 0.5743, decode.d3.loss_mask: 0.6759, decode.d3.loss_dice: 0.9812, decode.d4.loss_cls: 0.5623, decode.d4.loss_mask: 0.6766, decode.d4.loss_dice: 0.9834, decode.d5.loss_cls: 0.5535, decode.d5.loss_mask: 0.6703, decode.d5.loss_dice: 0.9798, decode.d6.loss_cls: 0.5515, decode.d6.loss_mask: 0.6701, decode.d6.loss_dice: 0.9721, decode.d7.loss_cls: 0.5490, decode.d7.loss_mask: 0.6715, decode.d7.loss_dice: 0.9757, decode.d8.loss_cls: 0.5549, decode.d8.loss_mask: 0.6759, decode.d8.loss_dice: 0.9759, loss: 23.4746, grad_norm: 45.5952 2023-11-12 01:51:16,177 - mmseg - INFO - Iter [21750/160000] lr: 8.641e-05, eta: 19:41:59, time: 0.489, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5526, decode.loss_mask: 0.6528, decode.loss_dice: 0.9370, decode.d0.loss_cls: 1.5526, decode.d0.loss_mask: 0.6874, decode.d0.loss_dice: 1.0629, decode.d1.loss_cls: 0.6502, decode.d1.loss_mask: 0.6815, decode.d1.loss_dice: 1.0138, decode.d2.loss_cls: 0.5941, decode.d2.loss_mask: 0.6658, decode.d2.loss_dice: 0.9812, decode.d3.loss_cls: 0.5769, decode.d3.loss_mask: 0.6552, decode.d3.loss_dice: 0.9541, decode.d4.loss_cls: 0.5634, decode.d4.loss_mask: 0.6564, decode.d4.loss_dice: 0.9504, decode.d5.loss_cls: 0.5583, decode.d5.loss_mask: 0.6514, decode.d5.loss_dice: 0.9475, decode.d6.loss_cls: 0.5500, decode.d6.loss_mask: 0.6531, decode.d6.loss_dice: 0.9444, decode.d7.loss_cls: 0.5439, decode.d7.loss_mask: 0.6554, decode.d7.loss_dice: 0.9405, decode.d8.loss_cls: 0.5498, decode.d8.loss_mask: 0.6569, decode.d8.loss_dice: 0.9459, loss: 22.9853, grad_norm: 49.4446 2023-11-12 01:51:40,686 - mmseg - INFO - Iter [21800/160000] lr: 8.638e-05, eta: 19:41:26, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5710, decode.loss_mask: 0.6680, decode.loss_dice: 0.9678, decode.d0.loss_cls: 1.5752, decode.d0.loss_mask: 0.7047, decode.d0.loss_dice: 1.0835, decode.d1.loss_cls: 0.6715, decode.d1.loss_mask: 0.6978, decode.d1.loss_dice: 1.0417, decode.d2.loss_cls: 0.6242, decode.d2.loss_mask: 0.6764, decode.d2.loss_dice: 1.0001, decode.d3.loss_cls: 0.5981, decode.d3.loss_mask: 0.6716, decode.d3.loss_dice: 0.9779, decode.d4.loss_cls: 0.5830, decode.d4.loss_mask: 0.6751, decode.d4.loss_dice: 0.9814, decode.d5.loss_cls: 0.5812, decode.d5.loss_mask: 0.6754, decode.d5.loss_dice: 0.9782, decode.d6.loss_cls: 0.5759, decode.d6.loss_mask: 0.6680, decode.d6.loss_dice: 0.9663, decode.d7.loss_cls: 0.5741, decode.d7.loss_mask: 0.6708, decode.d7.loss_dice: 0.9735, decode.d8.loss_cls: 0.5713, decode.d8.loss_mask: 0.6671, decode.d8.loss_dice: 0.9775, loss: 23.6485, grad_norm: 46.0726 2023-11-12 01:52:05,203 - mmseg - INFO - Iter [21850/160000] lr: 8.634e-05, eta: 19:40:53, time: 0.490, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5391, decode.loss_mask: 0.6663, decode.loss_dice: 0.9695, decode.d0.loss_cls: 1.5397, decode.d0.loss_mask: 0.7026, decode.d0.loss_dice: 1.0856, decode.d1.loss_cls: 0.6433, decode.d1.loss_mask: 0.6891, decode.d1.loss_dice: 1.0456, decode.d2.loss_cls: 0.5806, decode.d2.loss_mask: 0.6729, decode.d2.loss_dice: 1.0057, decode.d3.loss_cls: 0.5645, decode.d3.loss_mask: 0.6684, decode.d3.loss_dice: 0.9770, decode.d4.loss_cls: 0.5492, decode.d4.loss_mask: 0.6681, decode.d4.loss_dice: 0.9789, decode.d5.loss_cls: 0.5449, decode.d5.loss_mask: 0.6683, decode.d5.loss_dice: 0.9754, decode.d6.loss_cls: 0.5407, decode.d6.loss_mask: 0.6674, decode.d6.loss_dice: 0.9707, decode.d7.loss_cls: 0.5381, decode.d7.loss_mask: 0.6705, decode.d7.loss_dice: 0.9760, decode.d8.loss_cls: 0.5350, decode.d8.loss_mask: 0.6702, decode.d8.loss_dice: 0.9748, loss: 23.2778, grad_norm: 44.9960 2023-11-12 01:52:29,405 - mmseg - INFO - Iter [21900/160000] lr: 8.631e-05, eta: 19:40:18, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5789, decode.loss_mask: 0.6446, decode.loss_dice: 0.9792, decode.d0.loss_cls: 1.5887, decode.d0.loss_mask: 0.6772, decode.d0.loss_dice: 1.0993, decode.d1.loss_cls: 0.6794, decode.d1.loss_mask: 0.6715, decode.d1.loss_dice: 1.0438, decode.d2.loss_cls: 0.6242, decode.d2.loss_mask: 0.6560, decode.d2.loss_dice: 1.0118, decode.d3.loss_cls: 0.6035, decode.d3.loss_mask: 0.6514, decode.d3.loss_dice: 0.9947, decode.d4.loss_cls: 0.5915, decode.d4.loss_mask: 0.6469, decode.d4.loss_dice: 1.0022, decode.d5.loss_cls: 0.5882, decode.d5.loss_mask: 0.6460, decode.d5.loss_dice: 0.9878, decode.d6.loss_cls: 0.5814, decode.d6.loss_mask: 0.6451, decode.d6.loss_dice: 0.9766, decode.d7.loss_cls: 0.5851, decode.d7.loss_mask: 0.6448, decode.d7.loss_dice: 0.9795, decode.d8.loss_cls: 0.5717, decode.d8.loss_mask: 0.6464, decode.d8.loss_dice: 0.9799, loss: 23.5773, grad_norm: 46.5288 2023-11-12 01:52:53,686 - mmseg - INFO - Iter [21950/160000] lr: 8.628e-05, eta: 19:39:44, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5555, decode.loss_mask: 0.6722, decode.loss_dice: 0.9646, decode.d0.loss_cls: 1.5930, decode.d0.loss_mask: 0.7121, decode.d0.loss_dice: 1.0747, decode.d1.loss_cls: 0.6672, decode.d1.loss_mask: 0.6971, decode.d1.loss_dice: 1.0366, decode.d2.loss_cls: 0.6130, decode.d2.loss_mask: 0.6797, decode.d2.loss_dice: 0.9853, decode.d3.loss_cls: 0.5805, decode.d3.loss_mask: 0.6743, decode.d3.loss_dice: 0.9686, decode.d4.loss_cls: 0.5733, decode.d4.loss_mask: 0.6725, decode.d4.loss_dice: 0.9729, decode.d5.loss_cls: 0.5700, decode.d5.loss_mask: 0.6702, decode.d5.loss_dice: 0.9724, decode.d6.loss_cls: 0.5682, decode.d6.loss_mask: 0.6680, decode.d6.loss_dice: 0.9604, decode.d7.loss_cls: 0.5567, decode.d7.loss_mask: 0.6703, decode.d7.loss_dice: 0.9661, decode.d8.loss_cls: 0.5546, decode.d8.loss_mask: 0.6707, decode.d8.loss_dice: 0.9651, loss: 23.4857, grad_norm: 47.4376 2023-11-12 01:53:18,052 - mmseg - INFO - Saving checkpoint at 22000 iterations 2023-11-12 01:53:21,836 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 01:53:21,837 - mmseg - INFO - Iter [22000/160000] lr: 8.625e-05, eta: 19:39:34, time: 0.563, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5705, decode.loss_mask: 0.6661, decode.loss_dice: 0.9694, decode.d0.loss_cls: 1.5810, decode.d0.loss_mask: 0.7093, decode.d0.loss_dice: 1.0880, decode.d1.loss_cls: 0.6948, decode.d1.loss_mask: 0.6975, decode.d1.loss_dice: 1.0252, decode.d2.loss_cls: 0.6283, decode.d2.loss_mask: 0.6718, decode.d2.loss_dice: 1.0023, decode.d3.loss_cls: 0.6012, decode.d3.loss_mask: 0.6642, decode.d3.loss_dice: 0.9792, decode.d4.loss_cls: 0.5935, decode.d4.loss_mask: 0.6633, decode.d4.loss_dice: 0.9802, decode.d5.loss_cls: 0.5786, decode.d5.loss_mask: 0.6659, decode.d5.loss_dice: 0.9797, decode.d6.loss_cls: 0.5750, decode.d6.loss_mask: 0.6625, decode.d6.loss_dice: 0.9711, decode.d7.loss_cls: 0.5795, decode.d7.loss_mask: 0.6605, decode.d7.loss_dice: 0.9671, decode.d8.loss_cls: 0.5720, decode.d8.loss_mask: 0.6678, decode.d8.loss_dice: 0.9669, loss: 23.6327, grad_norm: 44.1519 2023-11-12 01:53:44,773 - mmseg - INFO - per class results: 2023-11-12 01:53:44,778 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.52 | 86.45 | | building | 81.24 | 89.36 | | sky | 94.59 | 97.03 | | floor | 83.19 | 88.63 | | tree | 75.73 | 86.41 | | ceiling | 84.07 | 88.96 | | road | 79.9 | 89.64 | | bed | 89.07 | 95.33 | | windowpane | 62.87 | 78.17 | | grass | 63.25 | 80.17 | | cabinet | 61.76 | 77.89 | | sidewalk | 63.01 | 82.63 | | person | 85.08 | 92.25 | | earth | 38.29 | 50.1 | | door | 51.77 | 73.36 | | table | 61.38 | 78.45 | | mountain | 61.73 | 73.59 | | plant | 52.7 | 66.6 | | curtain | 79.07 | 88.59 | | chair | 56.1 | 69.16 | | car | 85.95 | 92.59 | | water | 55.05 | 84.51 | | painting | 64.31 | 91.23 | | sofa | 62.29 | 77.02 | | shelf | 42.8 | 60.35 | | house | 43.25 | 66.36 | | sea | 48.91 | 51.48 | | mirror | 70.37 | 81.03 | | rug | 68.88 | 83.73 | | field | 23.73 | 50.02 | | armchair | 39.63 | 71.97 | | seat | 61.32 | 78.91 | | fence | 42.1 | 73.99 | | desk | 43.55 | 55.75 | | rock | 49.1 | 75.63 | | wardrobe | 46.38 | 70.99 | | lamp | 66.37 | 79.74 | | bathtub | 76.52 | 84.95 | | railing | 30.84 | 56.02 | | cushion | 62.0 | 71.16 | | base | 20.16 | 37.84 | | box | 27.76 | 47.75 | | column | 50.58 | 69.51 | | signboard | 38.36 | 60.35 | | chest of drawers | 47.08 | 60.23 | | counter | 38.69 | 60.48 | | sand | 34.36 | 45.9 | | sink | 69.76 | 80.39 | | skyscraper | 41.48 | 48.9 | | fireplace | 74.18 | 88.72 | | refrigerator | 78.06 | 87.65 | | grandstand | 46.7 | 70.4 | | path | 16.27 | 27.57 | | stairs | 36.76 | 46.08 | | runway | 33.79 | 38.61 | | case | 52.9 | 60.64 | | pool table | 94.28 | 97.24 | | pillow | 59.73 | 70.85 | | screen door | 65.91 | 79.22 | | stairway | 38.57 | 47.0 | | river | 15.86 | 25.49 | | bridge | 69.94 | 89.75 | | bookcase | 33.23 | 45.98 | | blind | 44.97 | 52.16 | | coffee table | 67.05 | 84.7 | | toilet | 85.49 | 91.08 | | flower | 39.63 | 56.67 | | book | 48.72 | 75.78 | | hill | 6.59 | 12.45 | | bench | 50.06 | 76.74 | | countertop | 52.19 | 83.02 | | stove | 82.71 | 89.31 | | palm | 53.42 | 70.7 | | kitchen island | 39.39 | 82.63 | | computer | 72.87 | 79.23 | | swivel chair | 42.28 | 56.77 | | boat | 73.01 | 93.42 | | bar | 19.51 | 20.65 | | arcade machine | 72.03 | 81.56 | | hovel | 46.95 | 71.63 | | bus | 89.47 | 97.04 | | towel | 69.67 | 87.11 | | light | 59.0 | 79.08 | | truck | 34.94 | 65.44 | | tower | 11.87 | 21.4 | | chandelier | 64.25 | 82.96 | | awning | 28.8 | 51.54 | | streetlight | 37.74 | 57.46 | | booth | 37.05 | 38.7 | | television receiver | 59.07 | 81.23 | | airplane | 62.41 | 70.5 | | dirt track | 13.61 | 19.91 | | apparel | 24.61 | 36.75 | | pole | 29.03 | 50.48 | | land | 11.25 | 13.05 | | bannister | 14.52 | 32.53 | | escalator | 57.2 | 77.92 | | ottoman | 51.42 | 72.44 | | bottle | 28.8 | 37.6 | | buffet | 35.76 | 39.01 | | poster | 11.32 | 18.4 | | stage | 15.66 | 31.74 | | van | 28.14 | 36.99 | | ship | 0.0 | 0.0 | | fountain | 5.74 | 6.16 | | conveyer belt | 43.4 | 66.6 | | canopy | 30.59 | 45.61 | | washer | 62.02 | 74.33 | | plaything | 39.18 | 62.75 | | swimming pool | 31.52 | 38.34 | | stool | 43.47 | 70.33 | | barrel | 66.23 | 74.54 | | basket | 36.34 | 48.29 | | waterfall | 42.45 | 56.43 | | tent | 87.47 | 98.49 | | bag | 22.13 | 29.84 | | minibike | 72.7 | 92.42 | | cradle | 84.68 | 97.42 | | oven | 23.08 | 66.11 | | ball | 52.43 | 63.09 | | food | 59.71 | 74.09 | | step | 18.43 | 48.57 | | tank | 34.6 | 41.85 | | trade name | 29.71 | 35.32 | | microwave | 39.92 | 44.07 | | pot | 47.61 | 57.64 | | animal | 74.3 | 77.84 | | bicycle | 63.19 | 83.73 | | lake | 0.0 | 0.0 | | dishwasher | 75.87 | 83.81 | | screen | 61.02 | 92.16 | | blanket | 23.71 | 37.02 | | sculpture | 67.64 | 88.87 | | hood | 57.58 | 69.7 | | sconce | 51.73 | 74.39 | | vase | 51.95 | 75.34 | | traffic light | 39.24 | 66.97 | | tray | 21.24 | 37.01 | | ashcan | 45.44 | 64.68 | | fan | 65.55 | 81.6 | | pier | 0.16 | 0.19 | | crt screen | 10.48 | 11.56 | | plate | 64.76 | 80.86 | | monitor | 3.32 | 5.02 | | bulletin board | 34.99 | 54.59 | | shower | 12.44 | 27.48 | | radiator | 71.19 | 82.35 | | glass | 22.68 | 24.82 | | clock | 45.08 | 58.66 | | flag | 47.82 | 51.6 | +---------------------+-------+-------+ 2023-11-12 01:53:44,778 - mmseg - INFO - Summary: 2023-11-12 01:53:44,779 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 82.64 | 48.86 | 63.18 | +-------+-------+-------+ 2023-11-12 01:53:44,779 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 01:53:44,779 - mmseg - INFO - Iter(val) [250] aAcc: 0.8264, mIoU: 0.4886, mAcc: 0.6318, IoU.wall: 0.7852, IoU.building: 0.8124, IoU.sky: 0.9459, IoU.floor: 0.8319, IoU.tree: 0.7573, IoU.ceiling: 0.8407, IoU.road: 0.7990, IoU.bed : 0.8907, IoU.windowpane: 0.6287, IoU.grass: 0.6325, IoU.cabinet: 0.6176, IoU.sidewalk: 0.6301, IoU.person: 0.8508, IoU.earth: 0.3829, IoU.door: 0.5177, IoU.table: 0.6138, IoU.mountain: 0.6173, IoU.plant: 0.5270, IoU.curtain: 0.7907, IoU.chair: 0.5610, IoU.car: 0.8595, IoU.water: 0.5505, IoU.painting: 0.6431, IoU.sofa: 0.6229, IoU.shelf: 0.4280, IoU.house: 0.4325, IoU.sea: 0.4891, IoU.mirror: 0.7037, IoU.rug: 0.6888, IoU.field: 0.2373, IoU.armchair: 0.3963, IoU.seat: 0.6132, IoU.fence: 0.4210, IoU.desk: 0.4355, IoU.rock: 0.4910, IoU.wardrobe: 0.4638, IoU.lamp: 0.6637, IoU.bathtub: 0.7652, IoU.railing: 0.3084, IoU.cushion: 0.6200, IoU.base: 0.2016, IoU.box: 0.2776, IoU.column: 0.5058, IoU.signboard: 0.3836, IoU.chest of drawers: 0.4708, IoU.counter: 0.3869, IoU.sand: 0.3436, IoU.sink: 0.6976, IoU.skyscraper: 0.4148, IoU.fireplace: 0.7418, IoU.refrigerator: 0.7806, IoU.grandstand: 0.4670, IoU.path: 0.1627, IoU.stairs: 0.3676, IoU.runway: 0.3379, IoU.case: 0.5290, IoU.pool table: 0.9428, IoU.pillow: 0.5973, IoU.screen door: 0.6591, IoU.stairway: 0.3857, IoU.river: 0.1586, IoU.bridge: 0.6994, IoU.bookcase: 0.3323, IoU.blind: 0.4497, IoU.coffee table: 0.6705, IoU.toilet: 0.8549, IoU.flower: 0.3963, IoU.book: 0.4872, IoU.hill: 0.0659, IoU.bench: 0.5006, IoU.countertop: 0.5219, IoU.stove: 0.8271, IoU.palm: 0.5342, IoU.kitchen island: 0.3939, IoU.computer: 0.7287, IoU.swivel chair: 0.4228, IoU.boat: 0.7301, IoU.bar: 0.1951, IoU.arcade machine: 0.7203, IoU.hovel: 0.4695, IoU.bus: 0.8947, IoU.towel: 0.6967, IoU.light: 0.5900, IoU.truck: 0.3494, IoU.tower: 0.1187, IoU.chandelier: 0.6425, IoU.awning: 0.2880, IoU.streetlight: 0.3774, IoU.booth: 0.3705, IoU.television receiver: 0.5907, IoU.airplane: 0.6241, IoU.dirt track: 0.1361, IoU.apparel: 0.2461, IoU.pole: 0.2903, IoU.land: 0.1125, IoU.bannister: 0.1452, IoU.escalator: 0.5720, IoU.ottoman: 0.5142, IoU.bottle: 0.2880, IoU.buffet: 0.3576, IoU.poster: 0.1132, IoU.stage: 0.1566, IoU.van: 0.2814, IoU.ship: 0.0000, IoU.fountain: 0.0574, IoU.conveyer belt: 0.4340, IoU.canopy: 0.3059, IoU.washer: 0.6202, IoU.plaything: 0.3918, IoU.swimming pool: 0.3152, IoU.stool: 0.4347, IoU.barrel: 0.6623, IoU.basket: 0.3634, IoU.waterfall: 0.4245, IoU.tent: 0.8747, IoU.bag: 0.2213, IoU.minibike: 0.7270, IoU.cradle: 0.8468, IoU.oven: 0.2308, IoU.ball: 0.5243, IoU.food: 0.5971, IoU.step: 0.1843, IoU.tank: 0.3460, IoU.trade name: 0.2971, IoU.microwave: 0.3992, IoU.pot: 0.4761, IoU.animal: 0.7430, IoU.bicycle: 0.6319, IoU.lake: 0.0000, IoU.dishwasher: 0.7587, IoU.screen: 0.6102, IoU.blanket: 0.2371, IoU.sculpture: 0.6764, IoU.hood: 0.5758, IoU.sconce: 0.5173, IoU.vase: 0.5195, IoU.traffic light: 0.3924, IoU.tray: 0.2124, IoU.ashcan: 0.4544, IoU.fan: 0.6555, IoU.pier: 0.0016, IoU.crt screen: 0.1048, IoU.plate: 0.6476, IoU.monitor: 0.0332, IoU.bulletin board: 0.3499, IoU.shower: 0.1244, IoU.radiator: 0.7119, IoU.glass: 0.2268, IoU.clock: 0.4508, IoU.flag: 0.4782, Acc.wall: 0.8645, Acc.building: 0.8936, Acc.sky: 0.9703, Acc.floor: 0.8863, Acc.tree: 0.8641, Acc.ceiling: 0.8896, Acc.road: 0.8964, Acc.bed : 0.9533, Acc.windowpane: 0.7817, Acc.grass: 0.8017, Acc.cabinet: 0.7789, Acc.sidewalk: 0.8263, Acc.person: 0.9225, Acc.earth: 0.5010, Acc.door: 0.7336, Acc.table: 0.7845, Acc.mountain: 0.7359, Acc.plant: 0.6660, Acc.curtain: 0.8859, Acc.chair: 0.6916, Acc.car: 0.9259, Acc.water: 0.8451, Acc.painting: 0.9123, Acc.sofa: 0.7702, Acc.shelf: 0.6035, Acc.house: 0.6636, Acc.sea: 0.5148, Acc.mirror: 0.8103, Acc.rug: 0.8373, Acc.field: 0.5002, Acc.armchair: 0.7197, Acc.seat: 0.7891, Acc.fence: 0.7399, Acc.desk: 0.5575, Acc.rock: 0.7563, Acc.wardrobe: 0.7099, Acc.lamp: 0.7974, Acc.bathtub: 0.8495, Acc.railing: 0.5602, Acc.cushion: 0.7116, Acc.base: 0.3784, Acc.box: 0.4775, Acc.column: 0.6951, Acc.signboard: 0.6035, Acc.chest of drawers: 0.6023, Acc.counter: 0.6048, Acc.sand: 0.4590, Acc.sink: 0.8039, Acc.skyscraper: 0.4890, Acc.fireplace: 0.8872, Acc.refrigerator: 0.8765, Acc.grandstand: 0.7040, Acc.path: 0.2757, Acc.stairs: 0.4608, Acc.runway: 0.3861, Acc.case: 0.6064, Acc.pool table: 0.9724, Acc.pillow: 0.7085, Acc.screen door: 0.7922, Acc.stairway: 0.4700, Acc.river: 0.2549, Acc.bridge: 0.8975, Acc.bookcase: 0.4598, Acc.blind: 0.5216, Acc.coffee table: 0.8470, Acc.toilet: 0.9108, Acc.flower: 0.5667, Acc.book: 0.7578, Acc.hill: 0.1245, Acc.bench: 0.7674, Acc.countertop: 0.8302, Acc.stove: 0.8931, Acc.palm: 0.7070, Acc.kitchen island: 0.8263, Acc.computer: 0.7923, Acc.swivel chair: 0.5677, Acc.boat: 0.9342, Acc.bar: 0.2065, Acc.arcade machine: 0.8156, Acc.hovel: 0.7163, Acc.bus: 0.9704, Acc.towel: 0.8711, Acc.light: 0.7908, Acc.truck: 0.6544, Acc.tower: 0.2140, Acc.chandelier: 0.8296, Acc.awning: 0.5154, Acc.streetlight: 0.5746, Acc.booth: 0.3870, Acc.television receiver: 0.8123, Acc.airplane: 0.7050, Acc.dirt track: 0.1991, Acc.apparel: 0.3675, Acc.pole: 0.5048, Acc.land: 0.1305, Acc.bannister: 0.3253, Acc.escalator: 0.7792, Acc.ottoman: 0.7244, Acc.bottle: 0.3760, Acc.buffet: 0.3901, Acc.poster: 0.1840, Acc.stage: 0.3174, Acc.van: 0.3699, Acc.ship: 0.0000, Acc.fountain: 0.0616, Acc.conveyer belt: 0.6660, Acc.canopy: 0.4561, Acc.washer: 0.7433, Acc.plaything: 0.6275, Acc.swimming pool: 0.3834, Acc.stool: 0.7033, Acc.barrel: 0.7454, Acc.basket: 0.4829, Acc.waterfall: 0.5643, Acc.tent: 0.9849, Acc.bag: 0.2984, Acc.minibike: 0.9242, Acc.cradle: 0.9742, Acc.oven: 0.6611, Acc.ball: 0.6309, Acc.food: 0.7409, Acc.step: 0.4857, Acc.tank: 0.4185, Acc.trade name: 0.3532, Acc.microwave: 0.4407, Acc.pot: 0.5764, Acc.animal: 0.7784, Acc.bicycle: 0.8373, Acc.lake: 0.0000, Acc.dishwasher: 0.8381, Acc.screen: 0.9216, Acc.blanket: 0.3702, Acc.sculpture: 0.8887, Acc.hood: 0.6970, Acc.sconce: 0.7439, Acc.vase: 0.7534, Acc.traffic light: 0.6697, Acc.tray: 0.3701, Acc.ashcan: 0.6468, Acc.fan: 0.8160, Acc.pier: 0.0019, Acc.crt screen: 0.1156, Acc.plate: 0.8086, Acc.monitor: 0.0502, Acc.bulletin board: 0.5459, Acc.shower: 0.2748, Acc.radiator: 0.8235, Acc.glass: 0.2482, Acc.clock: 0.5866, Acc.flag: 0.5160 2023-11-12 01:54:09,020 - mmseg - INFO - Iter [22050/160000] lr: 8.622e-05, eta: 19:41:23, time: 0.944, data_time: 0.471, memory: 41146, decode.loss_cls: 0.5462, decode.loss_mask: 0.6824, decode.loss_dice: 0.9738, decode.d0.loss_cls: 1.5694, decode.d0.loss_mask: 0.7197, decode.d0.loss_dice: 1.0790, decode.d1.loss_cls: 0.6521, decode.d1.loss_mask: 0.7075, decode.d1.loss_dice: 1.0407, decode.d2.loss_cls: 0.6026, decode.d2.loss_mask: 0.6913, decode.d2.loss_dice: 0.9979, decode.d3.loss_cls: 0.5721, decode.d3.loss_mask: 0.6836, decode.d3.loss_dice: 0.9749, decode.d4.loss_cls: 0.5602, decode.d4.loss_mask: 0.6810, decode.d4.loss_dice: 0.9769, decode.d5.loss_cls: 0.5555, decode.d5.loss_mask: 0.6860, decode.d5.loss_dice: 0.9864, decode.d6.loss_cls: 0.5513, decode.d6.loss_mask: 0.6826, decode.d6.loss_dice: 0.9772, decode.d7.loss_cls: 0.5545, decode.d7.loss_mask: 0.6806, decode.d7.loss_dice: 0.9795, decode.d8.loss_cls: 0.5513, decode.d8.loss_mask: 0.6786, decode.d8.loss_dice: 0.9766, loss: 23.5714, grad_norm: 48.6373 2023-11-12 01:54:33,981 - mmseg - INFO - Iter [22100/160000] lr: 8.619e-05, eta: 19:40:53, time: 0.499, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5763, decode.loss_mask: 0.6638, decode.loss_dice: 0.9771, decode.d0.loss_cls: 1.6136, decode.d0.loss_mask: 0.7044, decode.d0.loss_dice: 1.0944, decode.d1.loss_cls: 0.6903, decode.d1.loss_mask: 0.6812, decode.d1.loss_dice: 1.0422, decode.d2.loss_cls: 0.6262, decode.d2.loss_mask: 0.6732, decode.d2.loss_dice: 1.0106, decode.d3.loss_cls: 0.6041, decode.d3.loss_mask: 0.6639, decode.d3.loss_dice: 0.9862, decode.d4.loss_cls: 0.5908, decode.d4.loss_mask: 0.6627, decode.d4.loss_dice: 0.9874, decode.d5.loss_cls: 0.5860, decode.d5.loss_mask: 0.6664, decode.d5.loss_dice: 0.9895, decode.d6.loss_cls: 0.5843, decode.d6.loss_mask: 0.6616, decode.d6.loss_dice: 0.9715, decode.d7.loss_cls: 0.5738, decode.d7.loss_mask: 0.6661, decode.d7.loss_dice: 0.9791, decode.d8.loss_cls: 0.5767, decode.d8.loss_mask: 0.6627, decode.d8.loss_dice: 0.9818, loss: 23.7476, grad_norm: 45.7409 2023-11-12 01:54:58,773 - mmseg - INFO - Iter [22150/160000] lr: 8.616e-05, eta: 19:40:22, time: 0.496, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5781, decode.loss_mask: 0.6677, decode.loss_dice: 0.9531, decode.d0.loss_cls: 1.5716, decode.d0.loss_mask: 0.6953, decode.d0.loss_dice: 1.0725, decode.d1.loss_cls: 0.6840, decode.d1.loss_mask: 0.6970, decode.d1.loss_dice: 1.0226, decode.d2.loss_cls: 0.6222, decode.d2.loss_mask: 0.6808, decode.d2.loss_dice: 0.9854, decode.d3.loss_cls: 0.6036, decode.d3.loss_mask: 0.6699, decode.d3.loss_dice: 0.9633, decode.d4.loss_cls: 0.5921, decode.d4.loss_mask: 0.6692, decode.d4.loss_dice: 0.9673, decode.d5.loss_cls: 0.5881, decode.d5.loss_mask: 0.6723, decode.d5.loss_dice: 0.9699, decode.d6.loss_cls: 0.5859, decode.d6.loss_mask: 0.6684, decode.d6.loss_dice: 0.9629, decode.d7.loss_cls: 0.5840, decode.d7.loss_mask: 0.6678, decode.d7.loss_dice: 0.9643, decode.d8.loss_cls: 0.5787, decode.d8.loss_mask: 0.6693, decode.d8.loss_dice: 0.9590, loss: 23.5660, grad_norm: 51.8901 2023-11-12 01:55:23,207 - mmseg - INFO - Iter [22200/160000] lr: 8.613e-05, eta: 19:39:48, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5603, decode.loss_mask: 0.6650, decode.loss_dice: 0.9794, decode.d0.loss_cls: 1.5713, decode.d0.loss_mask: 0.7012, decode.d0.loss_dice: 1.1049, decode.d1.loss_cls: 0.6707, decode.d1.loss_mask: 0.6939, decode.d1.loss_dice: 1.0476, decode.d2.loss_cls: 0.6067, decode.d2.loss_mask: 0.6798, decode.d2.loss_dice: 1.0198, decode.d3.loss_cls: 0.5864, decode.d3.loss_mask: 0.6703, decode.d3.loss_dice: 0.9899, decode.d4.loss_cls: 0.5790, decode.d4.loss_mask: 0.6682, decode.d4.loss_dice: 0.9933, decode.d5.loss_cls: 0.5796, decode.d5.loss_mask: 0.6710, decode.d5.loss_dice: 0.9912, decode.d6.loss_cls: 0.5718, decode.d6.loss_mask: 0.6654, decode.d6.loss_dice: 0.9734, decode.d7.loss_cls: 0.5652, decode.d7.loss_mask: 0.6644, decode.d7.loss_dice: 0.9766, decode.d8.loss_cls: 0.5676, decode.d8.loss_mask: 0.6670, decode.d8.loss_dice: 0.9798, loss: 23.6608, grad_norm: 45.7944 2023-11-12 01:55:47,552 - mmseg - INFO - Iter [22250/160000] lr: 8.609e-05, eta: 19:39:14, time: 0.487, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5598, decode.loss_mask: 0.6757, decode.loss_dice: 0.9771, decode.d0.loss_cls: 1.5593, decode.d0.loss_mask: 0.7153, decode.d0.loss_dice: 1.0880, decode.d1.loss_cls: 0.6769, decode.d1.loss_mask: 0.6983, decode.d1.loss_dice: 1.0459, decode.d2.loss_cls: 0.6144, decode.d2.loss_mask: 0.6843, decode.d2.loss_dice: 1.0138, decode.d3.loss_cls: 0.5868, decode.d3.loss_mask: 0.6819, decode.d3.loss_dice: 0.9871, decode.d4.loss_cls: 0.5877, decode.d4.loss_mask: 0.6822, decode.d4.loss_dice: 0.9843, decode.d5.loss_cls: 0.5795, decode.d5.loss_mask: 0.6806, decode.d5.loss_dice: 0.9870, decode.d6.loss_cls: 0.5669, decode.d6.loss_mask: 0.6789, decode.d6.loss_dice: 0.9745, decode.d7.loss_cls: 0.5670, decode.d7.loss_mask: 0.6746, decode.d7.loss_dice: 0.9762, decode.d8.loss_cls: 0.5639, decode.d8.loss_mask: 0.6735, decode.d8.loss_dice: 0.9733, loss: 23.7145, grad_norm: 50.1900 2023-11-12 01:56:11,773 - mmseg - INFO - Iter [22300/160000] lr: 8.606e-05, eta: 19:38:40, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5629, decode.loss_mask: 0.6574, decode.loss_dice: 0.9694, decode.d0.loss_cls: 1.5678, decode.d0.loss_mask: 0.7007, decode.d0.loss_dice: 1.0772, decode.d1.loss_cls: 0.6767, decode.d1.loss_mask: 0.6864, decode.d1.loss_dice: 1.0285, decode.d2.loss_cls: 0.6081, decode.d2.loss_mask: 0.6709, decode.d2.loss_dice: 0.9946, decode.d3.loss_cls: 0.5863, decode.d3.loss_mask: 0.6642, decode.d3.loss_dice: 0.9768, decode.d4.loss_cls: 0.5753, decode.d4.loss_mask: 0.6613, decode.d4.loss_dice: 0.9764, decode.d5.loss_cls: 0.5714, decode.d5.loss_mask: 0.6605, decode.d5.loss_dice: 0.9703, decode.d6.loss_cls: 0.5646, decode.d6.loss_mask: 0.6604, decode.d6.loss_dice: 0.9704, decode.d7.loss_cls: 0.5628, decode.d7.loss_mask: 0.6595, decode.d7.loss_dice: 0.9634, decode.d8.loss_cls: 0.5669, decode.d8.loss_mask: 0.6574, decode.d8.loss_dice: 0.9685, loss: 23.4169, grad_norm: 45.4291 2023-11-12 01:56:35,997 - mmseg - INFO - Iter [22350/160000] lr: 8.603e-05, eta: 19:38:05, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5900, decode.loss_mask: 0.6631, decode.loss_dice: 0.9869, decode.d0.loss_cls: 1.5654, decode.d0.loss_mask: 0.6993, decode.d0.loss_dice: 1.1101, decode.d1.loss_cls: 0.6864, decode.d1.loss_mask: 0.6872, decode.d1.loss_dice: 1.0574, decode.d2.loss_cls: 0.6261, decode.d2.loss_mask: 0.6714, decode.d2.loss_dice: 1.0192, decode.d3.loss_cls: 0.6106, decode.d3.loss_mask: 0.6660, decode.d3.loss_dice: 0.9948, decode.d4.loss_cls: 0.5980, decode.d4.loss_mask: 0.6643, decode.d4.loss_dice: 1.0015, decode.d5.loss_cls: 0.6029, decode.d5.loss_mask: 0.6641, decode.d5.loss_dice: 0.9920, decode.d6.loss_cls: 0.5960, decode.d6.loss_mask: 0.6640, decode.d6.loss_dice: 0.9789, decode.d7.loss_cls: 0.5919, decode.d7.loss_mask: 0.6622, decode.d7.loss_dice: 0.9848, decode.d8.loss_cls: 0.5895, decode.d8.loss_mask: 0.6615, decode.d8.loss_dice: 0.9897, loss: 23.8751, grad_norm: 44.3477 2023-11-12 01:57:00,581 - mmseg - INFO - Iter [22400/160000] lr: 8.600e-05, eta: 19:37:33, time: 0.492, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5629, decode.loss_mask: 0.6566, decode.loss_dice: 0.9664, decode.d0.loss_cls: 1.5878, decode.d0.loss_mask: 0.6936, decode.d0.loss_dice: 1.0767, decode.d1.loss_cls: 0.6720, decode.d1.loss_mask: 0.6790, decode.d1.loss_dice: 1.0275, decode.d2.loss_cls: 0.6032, decode.d2.loss_mask: 0.6697, decode.d2.loss_dice: 0.9915, decode.d3.loss_cls: 0.5776, decode.d3.loss_mask: 0.6588, decode.d3.loss_dice: 0.9736, decode.d4.loss_cls: 0.5696, decode.d4.loss_mask: 0.6609, decode.d4.loss_dice: 0.9715, decode.d5.loss_cls: 0.5688, decode.d5.loss_mask: 0.6606, decode.d5.loss_dice: 0.9699, decode.d6.loss_cls: 0.5745, decode.d6.loss_mask: 0.6572, decode.d6.loss_dice: 0.9629, decode.d7.loss_cls: 0.5669, decode.d7.loss_mask: 0.6593, decode.d7.loss_dice: 0.9645, decode.d8.loss_cls: 0.5629, decode.d8.loss_mask: 0.6575, decode.d8.loss_dice: 0.9687, loss: 23.3725, grad_norm: 45.2084 2023-11-12 01:57:24,846 - mmseg - INFO - Iter [22450/160000] lr: 8.597e-05, eta: 19:36:58, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5709, decode.loss_mask: 0.6916, decode.loss_dice: 1.0008, decode.d0.loss_cls: 1.5542, decode.d0.loss_mask: 0.7360, decode.d0.loss_dice: 1.1055, decode.d1.loss_cls: 0.6682, decode.d1.loss_mask: 0.7198, decode.d1.loss_dice: 1.0652, decode.d2.loss_cls: 0.6109, decode.d2.loss_mask: 0.7084, decode.d2.loss_dice: 1.0282, decode.d3.loss_cls: 0.5918, decode.d3.loss_mask: 0.6924, decode.d3.loss_dice: 1.0023, decode.d4.loss_cls: 0.5839, decode.d4.loss_mask: 0.6934, decode.d4.loss_dice: 1.0084, decode.d5.loss_cls: 0.5778, decode.d5.loss_mask: 0.6941, decode.d5.loss_dice: 1.0038, decode.d6.loss_cls: 0.5702, decode.d6.loss_mask: 0.6944, decode.d6.loss_dice: 0.9939, decode.d7.loss_cls: 0.5705, decode.d7.loss_mask: 0.6909, decode.d7.loss_dice: 0.9997, decode.d8.loss_cls: 0.5674, decode.d8.loss_mask: 0.6925, decode.d8.loss_dice: 0.9990, loss: 24.0861, grad_norm: 47.6436 2023-11-12 01:57:49,307 - mmseg - INFO - Iter [22500/160000] lr: 8.594e-05, eta: 19:36:25, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5484, decode.loss_mask: 0.6621, decode.loss_dice: 0.9564, decode.d0.loss_cls: 1.5525, decode.d0.loss_mask: 0.7031, decode.d0.loss_dice: 1.0807, decode.d1.loss_cls: 0.6608, decode.d1.loss_mask: 0.6881, decode.d1.loss_dice: 1.0221, decode.d2.loss_cls: 0.5863, decode.d2.loss_mask: 0.6687, decode.d2.loss_dice: 0.9851, decode.d3.loss_cls: 0.5726, decode.d3.loss_mask: 0.6648, decode.d3.loss_dice: 0.9646, decode.d4.loss_cls: 0.5657, decode.d4.loss_mask: 0.6612, decode.d4.loss_dice: 0.9643, decode.d5.loss_cls: 0.5626, decode.d5.loss_mask: 0.6646, decode.d5.loss_dice: 0.9565, decode.d6.loss_cls: 0.5599, decode.d6.loss_mask: 0.6624, decode.d6.loss_dice: 0.9491, decode.d7.loss_cls: 0.5612, decode.d7.loss_mask: 0.6633, decode.d7.loss_dice: 0.9586, decode.d8.loss_cls: 0.5507, decode.d8.loss_mask: 0.6616, decode.d8.loss_dice: 0.9632, loss: 23.2212, grad_norm: 50.3431 2023-11-12 01:58:13,808 - mmseg - INFO - Iter [22550/160000] lr: 8.591e-05, eta: 19:35:52, time: 0.490, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5666, decode.loss_mask: 0.6946, decode.loss_dice: 0.9890, decode.d0.loss_cls: 1.5647, decode.d0.loss_mask: 0.7295, decode.d0.loss_dice: 1.1067, decode.d1.loss_cls: 0.6679, decode.d1.loss_mask: 0.7239, decode.d1.loss_dice: 1.0643, decode.d2.loss_cls: 0.6045, decode.d2.loss_mask: 0.7068, decode.d2.loss_dice: 1.0258, decode.d3.loss_cls: 0.5835, decode.d3.loss_mask: 0.7000, decode.d3.loss_dice: 1.0031, decode.d4.loss_cls: 0.5717, decode.d4.loss_mask: 0.6946, decode.d4.loss_dice: 1.0078, decode.d5.loss_cls: 0.5727, decode.d5.loss_mask: 0.6967, decode.d5.loss_dice: 1.0064, decode.d6.loss_cls: 0.5765, decode.d6.loss_mask: 0.6904, decode.d6.loss_dice: 0.9909, decode.d7.loss_cls: 0.5685, decode.d7.loss_mask: 0.6952, decode.d7.loss_dice: 0.9966, decode.d8.loss_cls: 0.5652, decode.d8.loss_mask: 0.6949, decode.d8.loss_dice: 0.9942, loss: 24.0533, grad_norm: 52.0315 2023-11-12 01:58:38,243 - mmseg - INFO - Iter [22600/160000] lr: 8.588e-05, eta: 19:35:19, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5626, decode.loss_mask: 0.6920, decode.loss_dice: 0.9595, decode.d0.loss_cls: 1.5561, decode.d0.loss_mask: 0.7281, decode.d0.loss_dice: 1.0810, decode.d1.loss_cls: 0.6606, decode.d1.loss_mask: 0.7165, decode.d1.loss_dice: 1.0278, decode.d2.loss_cls: 0.6131, decode.d2.loss_mask: 0.7041, decode.d2.loss_dice: 0.9883, decode.d3.loss_cls: 0.5847, decode.d3.loss_mask: 0.6985, decode.d3.loss_dice: 0.9728, decode.d4.loss_cls: 0.5722, decode.d4.loss_mask: 0.6958, decode.d4.loss_dice: 0.9728, decode.d5.loss_cls: 0.5731, decode.d5.loss_mask: 0.6941, decode.d5.loss_dice: 0.9717, decode.d6.loss_cls: 0.5686, decode.d6.loss_mask: 0.6896, decode.d6.loss_dice: 0.9653, decode.d7.loss_cls: 0.5606, decode.d7.loss_mask: 0.6938, decode.d7.loss_dice: 0.9657, decode.d8.loss_cls: 0.5625, decode.d8.loss_mask: 0.6901, decode.d8.loss_dice: 0.9688, loss: 23.6903, grad_norm: 48.0789 2023-11-12 01:59:02,956 - mmseg - INFO - Iter [22650/160000] lr: 8.584e-05, eta: 19:34:48, time: 0.494, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5619, decode.loss_mask: 0.6409, decode.loss_dice: 0.9621, decode.d0.loss_cls: 1.5691, decode.d0.loss_mask: 0.6746, decode.d0.loss_dice: 1.0740, decode.d1.loss_cls: 0.6706, decode.d1.loss_mask: 0.6659, decode.d1.loss_dice: 1.0326, decode.d2.loss_cls: 0.6049, decode.d2.loss_mask: 0.6497, decode.d2.loss_dice: 0.9993, decode.d3.loss_cls: 0.5820, decode.d3.loss_mask: 0.6470, decode.d3.loss_dice: 0.9758, decode.d4.loss_cls: 0.5704, decode.d4.loss_mask: 0.6483, decode.d4.loss_dice: 0.9760, decode.d5.loss_cls: 0.5693, decode.d5.loss_mask: 0.6424, decode.d5.loss_dice: 0.9732, decode.d6.loss_cls: 0.5649, decode.d6.loss_mask: 0.6443, decode.d6.loss_dice: 0.9599, decode.d7.loss_cls: 0.5660, decode.d7.loss_mask: 0.6448, decode.d7.loss_dice: 0.9647, decode.d8.loss_cls: 0.5564, decode.d8.loss_mask: 0.6422, decode.d8.loss_dice: 0.9740, loss: 23.2072, grad_norm: 48.7362 2023-11-12 01:59:27,033 - mmseg - INFO - Iter [22700/160000] lr: 8.581e-05, eta: 19:34:13, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5437, decode.loss_mask: 0.6813, decode.loss_dice: 0.9649, decode.d0.loss_cls: 1.5080, decode.d0.loss_mask: 0.7147, decode.d0.loss_dice: 1.0765, decode.d1.loss_cls: 0.6459, decode.d1.loss_mask: 0.7016, decode.d1.loss_dice: 1.0284, decode.d2.loss_cls: 0.5902, decode.d2.loss_mask: 0.6868, decode.d2.loss_dice: 0.9845, decode.d3.loss_cls: 0.5732, decode.d3.loss_mask: 0.6841, decode.d3.loss_dice: 0.9771, decode.d4.loss_cls: 0.5643, decode.d4.loss_mask: 0.6822, decode.d4.loss_dice: 0.9612, decode.d5.loss_cls: 0.5614, decode.d5.loss_mask: 0.6815, decode.d5.loss_dice: 0.9673, decode.d6.loss_cls: 0.5472, decode.d6.loss_mask: 0.6818, decode.d6.loss_dice: 0.9664, decode.d7.loss_cls: 0.5440, decode.d7.loss_mask: 0.6797, decode.d7.loss_dice: 0.9595, decode.d8.loss_cls: 0.5446, decode.d8.loss_mask: 0.6814, decode.d8.loss_dice: 0.9593, loss: 23.3428, grad_norm: 47.3601 2023-11-12 01:59:53,648 - mmseg - INFO - Iter [22750/160000] lr: 8.578e-05, eta: 19:33:53, time: 0.532, data_time: 0.058, memory: 41146, decode.loss_cls: 0.5387, decode.loss_mask: 0.6881, decode.loss_dice: 0.9763, decode.d0.loss_cls: 1.5348, decode.d0.loss_mask: 0.7280, decode.d0.loss_dice: 1.0901, decode.d1.loss_cls: 0.6456, decode.d1.loss_mask: 0.7189, decode.d1.loss_dice: 1.0554, decode.d2.loss_cls: 0.5924, decode.d2.loss_mask: 0.6991, decode.d2.loss_dice: 1.0141, decode.d3.loss_cls: 0.5612, decode.d3.loss_mask: 0.6948, decode.d3.loss_dice: 0.9924, decode.d4.loss_cls: 0.5527, decode.d4.loss_mask: 0.6943, decode.d4.loss_dice: 0.9926, decode.d5.loss_cls: 0.5493, decode.d5.loss_mask: 0.6910, decode.d5.loss_dice: 0.9850, decode.d6.loss_cls: 0.5422, decode.d6.loss_mask: 0.6889, decode.d6.loss_dice: 0.9737, decode.d7.loss_cls: 0.5366, decode.d7.loss_mask: 0.6877, decode.d7.loss_dice: 0.9792, decode.d8.loss_cls: 0.5342, decode.d8.loss_mask: 0.6876, decode.d8.loss_dice: 0.9835, loss: 23.6083, grad_norm: 49.5726 2023-11-12 02:00:17,890 - mmseg - INFO - Iter [22800/160000] lr: 8.575e-05, eta: 19:33:19, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5416, decode.loss_mask: 0.6602, decode.loss_dice: 0.9463, decode.d0.loss_cls: 1.5348, decode.d0.loss_mask: 0.7085, decode.d0.loss_dice: 1.0750, decode.d1.loss_cls: 0.6469, decode.d1.loss_mask: 0.6913, decode.d1.loss_dice: 1.0130, decode.d2.loss_cls: 0.5886, decode.d2.loss_mask: 0.6767, decode.d2.loss_dice: 0.9705, decode.d3.loss_cls: 0.5665, decode.d3.loss_mask: 0.6630, decode.d3.loss_dice: 0.9507, decode.d4.loss_cls: 0.5591, decode.d4.loss_mask: 0.6632, decode.d4.loss_dice: 0.9468, decode.d5.loss_cls: 0.5565, decode.d5.loss_mask: 0.6670, decode.d5.loss_dice: 0.9495, decode.d6.loss_cls: 0.5491, decode.d6.loss_mask: 0.6624, decode.d6.loss_dice: 0.9442, decode.d7.loss_cls: 0.5401, decode.d7.loss_mask: 0.6657, decode.d7.loss_dice: 0.9461, decode.d8.loss_cls: 0.5412, decode.d8.loss_mask: 0.6634, decode.d8.loss_dice: 0.9526, loss: 23.0406, grad_norm: 44.4564 2023-11-12 02:00:41,992 - mmseg - INFO - Iter [22850/160000] lr: 8.572e-05, eta: 19:32:44, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5463, decode.loss_mask: 0.6701, decode.loss_dice: 0.9773, decode.d0.loss_cls: 1.5472, decode.d0.loss_mask: 0.7082, decode.d0.loss_dice: 1.0898, decode.d1.loss_cls: 0.6447, decode.d1.loss_mask: 0.6948, decode.d1.loss_dice: 1.0576, decode.d2.loss_cls: 0.5904, decode.d2.loss_mask: 0.6829, decode.d2.loss_dice: 1.0107, decode.d3.loss_cls: 0.5618, decode.d3.loss_mask: 0.6756, decode.d3.loss_dice: 0.9870, decode.d4.loss_cls: 0.5536, decode.d4.loss_mask: 0.6741, decode.d4.loss_dice: 0.9831, decode.d5.loss_cls: 0.5505, decode.d5.loss_mask: 0.6697, decode.d5.loss_dice: 0.9849, decode.d6.loss_cls: 0.5493, decode.d6.loss_mask: 0.6675, decode.d6.loss_dice: 0.9754, decode.d7.loss_cls: 0.5450, decode.d7.loss_mask: 0.6668, decode.d7.loss_dice: 0.9796, decode.d8.loss_cls: 0.5424, decode.d8.loss_mask: 0.6759, decode.d8.loss_dice: 0.9829, loss: 23.4453, grad_norm: 46.1907 2023-11-12 02:01:06,221 - mmseg - INFO - Iter [22900/160000] lr: 8.569e-05, eta: 19:32:09, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5498, decode.loss_mask: 0.6558, decode.loss_dice: 0.9551, decode.d0.loss_cls: 1.5506, decode.d0.loss_mask: 0.6898, decode.d0.loss_dice: 1.0640, decode.d1.loss_cls: 0.6545, decode.d1.loss_mask: 0.6755, decode.d1.loss_dice: 1.0195, decode.d2.loss_cls: 0.5976, decode.d2.loss_mask: 0.6666, decode.d2.loss_dice: 0.9879, decode.d3.loss_cls: 0.5782, decode.d3.loss_mask: 0.6531, decode.d3.loss_dice: 0.9613, decode.d4.loss_cls: 0.5629, decode.d4.loss_mask: 0.6557, decode.d4.loss_dice: 0.9636, decode.d5.loss_cls: 0.5595, decode.d5.loss_mask: 0.6552, decode.d5.loss_dice: 0.9566, decode.d6.loss_cls: 0.5504, decode.d6.loss_mask: 0.6522, decode.d6.loss_dice: 0.9554, decode.d7.loss_cls: 0.5533, decode.d7.loss_mask: 0.6552, decode.d7.loss_dice: 0.9567, decode.d8.loss_cls: 0.5441, decode.d8.loss_mask: 0.6541, decode.d8.loss_dice: 0.9616, loss: 23.0958, grad_norm: 45.4155 2023-11-12 02:01:30,813 - mmseg - INFO - Iter [22950/160000] lr: 8.566e-05, eta: 19:31:37, time: 0.492, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5135, decode.loss_mask: 0.6605, decode.loss_dice: 0.9450, decode.d0.loss_cls: 1.5172, decode.d0.loss_mask: 0.6927, decode.d0.loss_dice: 1.0522, decode.d1.loss_cls: 0.6342, decode.d1.loss_mask: 0.6877, decode.d1.loss_dice: 1.0120, decode.d2.loss_cls: 0.5638, decode.d2.loss_mask: 0.6693, decode.d2.loss_dice: 0.9823, decode.d3.loss_cls: 0.5433, decode.d3.loss_mask: 0.6581, decode.d3.loss_dice: 0.9586, decode.d4.loss_cls: 0.5286, decode.d4.loss_mask: 0.6619, decode.d4.loss_dice: 0.9585, decode.d5.loss_cls: 0.5249, decode.d5.loss_mask: 0.6577, decode.d5.loss_dice: 0.9568, decode.d6.loss_cls: 0.5210, decode.d6.loss_mask: 0.6589, decode.d6.loss_dice: 0.9504, decode.d7.loss_cls: 0.5133, decode.d7.loss_mask: 0.6604, decode.d7.loss_dice: 0.9500, decode.d8.loss_cls: 0.5155, decode.d8.loss_mask: 0.6590, decode.d8.loss_dice: 0.9450, loss: 22.7524, grad_norm: 43.3953 2023-11-12 02:01:55,337 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 02:01:55,337 - mmseg - INFO - Iter [23000/160000] lr: 8.563e-05, eta: 19:31:05, time: 0.490, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5481, decode.loss_mask: 0.6705, decode.loss_dice: 0.9860, decode.d0.loss_cls: 1.5704, decode.d0.loss_mask: 0.7132, decode.d0.loss_dice: 1.1026, decode.d1.loss_cls: 0.6585, decode.d1.loss_mask: 0.6967, decode.d1.loss_dice: 1.0577, decode.d2.loss_cls: 0.5924, decode.d2.loss_mask: 0.6841, decode.d2.loss_dice: 1.0136, decode.d3.loss_cls: 0.5708, decode.d3.loss_mask: 0.6759, decode.d3.loss_dice: 0.9976, decode.d4.loss_cls: 0.5602, decode.d4.loss_mask: 0.6746, decode.d4.loss_dice: 0.9933, decode.d5.loss_cls: 0.5603, decode.d5.loss_mask: 0.6767, decode.d5.loss_dice: 0.9948, decode.d6.loss_cls: 0.5540, decode.d6.loss_mask: 0.6787, decode.d6.loss_dice: 0.9845, decode.d7.loss_cls: 0.5515, decode.d7.loss_mask: 0.6755, decode.d7.loss_dice: 0.9885, decode.d8.loss_cls: 0.5488, decode.d8.loss_mask: 0.6738, decode.d8.loss_dice: 0.9912, loss: 23.6445, grad_norm: 48.4486 2023-11-12 02:02:19,906 - mmseg - INFO - Iter [23050/160000] lr: 8.559e-05, eta: 19:30:33, time: 0.491, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5496, decode.loss_mask: 0.6535, decode.loss_dice: 0.9424, decode.d0.loss_cls: 1.5465, decode.d0.loss_mask: 0.6851, decode.d0.loss_dice: 1.0602, decode.d1.loss_cls: 0.6654, decode.d1.loss_mask: 0.6775, decode.d1.loss_dice: 1.0015, decode.d2.loss_cls: 0.5998, decode.d2.loss_mask: 0.6571, decode.d2.loss_dice: 0.9646, decode.d3.loss_cls: 0.5731, decode.d3.loss_mask: 0.6527, decode.d3.loss_dice: 0.9357, decode.d4.loss_cls: 0.5608, decode.d4.loss_mask: 0.6538, decode.d4.loss_dice: 0.9435, decode.d5.loss_cls: 0.5566, decode.d5.loss_mask: 0.6510, decode.d5.loss_dice: 0.9402, decode.d6.loss_cls: 0.5457, decode.d6.loss_mask: 0.6513, decode.d6.loss_dice: 0.9380, decode.d7.loss_cls: 0.5455, decode.d7.loss_mask: 0.6531, decode.d7.loss_dice: 0.9400, decode.d8.loss_cls: 0.5439, decode.d8.loss_mask: 0.6542, decode.d8.loss_dice: 0.9423, loss: 22.8844, grad_norm: 47.0327 2023-11-12 02:02:44,135 - mmseg - INFO - Iter [23100/160000] lr: 8.556e-05, eta: 19:29:59, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5582, decode.loss_mask: 0.6600, decode.loss_dice: 0.9860, decode.d0.loss_cls: 1.5443, decode.d0.loss_mask: 0.7010, decode.d0.loss_dice: 1.0975, decode.d1.loss_cls: 0.6614, decode.d1.loss_mask: 0.6811, decode.d1.loss_dice: 1.0528, decode.d2.loss_cls: 0.6032, decode.d2.loss_mask: 0.6771, decode.d2.loss_dice: 1.0128, decode.d3.loss_cls: 0.5818, decode.d3.loss_mask: 0.6680, decode.d3.loss_dice: 0.9924, decode.d4.loss_cls: 0.5687, decode.d4.loss_mask: 0.6664, decode.d4.loss_dice: 0.9966, decode.d5.loss_cls: 0.5643, decode.d5.loss_mask: 0.6642, decode.d5.loss_dice: 0.9914, decode.d6.loss_cls: 0.5595, decode.d6.loss_mask: 0.6596, decode.d6.loss_dice: 0.9844, decode.d7.loss_cls: 0.5610, decode.d7.loss_mask: 0.6610, decode.d7.loss_dice: 0.9827, decode.d8.loss_cls: 0.5553, decode.d8.loss_mask: 0.6627, decode.d8.loss_dice: 0.9855, loss: 23.5410, grad_norm: 46.8379 2023-11-12 02:03:08,448 - mmseg - INFO - Iter [23150/160000] lr: 8.553e-05, eta: 19:29:26, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5388, decode.loss_mask: 0.6887, decode.loss_dice: 0.9571, decode.d0.loss_cls: 1.5137, decode.d0.loss_mask: 0.7172, decode.d0.loss_dice: 1.0655, decode.d1.loss_cls: 0.6295, decode.d1.loss_mask: 0.7164, decode.d1.loss_dice: 1.0180, decode.d2.loss_cls: 0.5692, decode.d2.loss_mask: 0.6989, decode.d2.loss_dice: 0.9831, decode.d3.loss_cls: 0.5523, decode.d3.loss_mask: 0.6878, decode.d3.loss_dice: 0.9653, decode.d4.loss_cls: 0.5331, decode.d4.loss_mask: 0.6926, decode.d4.loss_dice: 0.9699, decode.d5.loss_cls: 0.5347, decode.d5.loss_mask: 0.6934, decode.d5.loss_dice: 0.9740, decode.d6.loss_cls: 0.5426, decode.d6.loss_mask: 0.6930, decode.d6.loss_dice: 0.9573, decode.d7.loss_cls: 0.5306, decode.d7.loss_mask: 0.6918, decode.d7.loss_dice: 0.9633, decode.d8.loss_cls: 0.5292, decode.d8.loss_mask: 0.6880, decode.d8.loss_dice: 0.9570, loss: 23.2521, grad_norm: 49.1946 2023-11-12 02:03:32,485 - mmseg - INFO - Iter [23200/160000] lr: 8.550e-05, eta: 19:28:50, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5334, decode.loss_mask: 0.6642, decode.loss_dice: 0.9641, decode.d0.loss_cls: 1.5166, decode.d0.loss_mask: 0.7078, decode.d0.loss_dice: 1.0969, decode.d1.loss_cls: 0.6470, decode.d1.loss_mask: 0.6876, decode.d1.loss_dice: 1.0393, decode.d2.loss_cls: 0.5883, decode.d2.loss_mask: 0.6739, decode.d2.loss_dice: 0.9998, decode.d3.loss_cls: 0.5579, decode.d3.loss_mask: 0.6657, decode.d3.loss_dice: 0.9779, decode.d4.loss_cls: 0.5500, decode.d4.loss_mask: 0.6621, decode.d4.loss_dice: 0.9805, decode.d5.loss_cls: 0.5396, decode.d5.loss_mask: 0.6633, decode.d5.loss_dice: 0.9787, decode.d6.loss_cls: 0.5402, decode.d6.loss_mask: 0.6644, decode.d6.loss_dice: 0.9645, decode.d7.loss_cls: 0.5410, decode.d7.loss_mask: 0.6613, decode.d7.loss_dice: 0.9682, decode.d8.loss_cls: 0.5395, decode.d8.loss_mask: 0.6637, decode.d8.loss_dice: 0.9673, loss: 23.2048, grad_norm: 46.8181 2023-11-12 02:03:56,565 - mmseg - INFO - Iter [23250/160000] lr: 8.547e-05, eta: 19:28:16, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5365, decode.loss_mask: 0.6516, decode.loss_dice: 0.9534, decode.d0.loss_cls: 1.5344, decode.d0.loss_mask: 0.6902, decode.d0.loss_dice: 1.0614, decode.d1.loss_cls: 0.6494, decode.d1.loss_mask: 0.6733, decode.d1.loss_dice: 1.0113, decode.d2.loss_cls: 0.5836, decode.d2.loss_mask: 0.6628, decode.d2.loss_dice: 0.9773, decode.d3.loss_cls: 0.5628, decode.d3.loss_mask: 0.6539, decode.d3.loss_dice: 0.9583, decode.d4.loss_cls: 0.5579, decode.d4.loss_mask: 0.6539, decode.d4.loss_dice: 0.9620, decode.d5.loss_cls: 0.5536, decode.d5.loss_mask: 0.6503, decode.d5.loss_dice: 0.9605, decode.d6.loss_cls: 0.5420, decode.d6.loss_mask: 0.6506, decode.d6.loss_dice: 0.9524, decode.d7.loss_cls: 0.5440, decode.d7.loss_mask: 0.6513, decode.d7.loss_dice: 0.9581, decode.d8.loss_cls: 0.5429, decode.d8.loss_mask: 0.6512, decode.d8.loss_dice: 0.9581, loss: 22.9493, grad_norm: 48.0285 2023-11-12 02:04:20,597 - mmseg - INFO - Iter [23300/160000] lr: 8.544e-05, eta: 19:27:41, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5515, decode.loss_mask: 0.6317, decode.loss_dice: 0.9318, decode.d0.loss_cls: 1.5450, decode.d0.loss_mask: 0.6734, decode.d0.loss_dice: 1.0505, decode.d1.loss_cls: 0.6521, decode.d1.loss_mask: 0.6573, decode.d1.loss_dice: 0.9920, decode.d2.loss_cls: 0.5942, decode.d2.loss_mask: 0.6411, decode.d2.loss_dice: 0.9589, decode.d3.loss_cls: 0.5710, decode.d3.loss_mask: 0.6354, decode.d3.loss_dice: 0.9362, decode.d4.loss_cls: 0.5621, decode.d4.loss_mask: 0.6355, decode.d4.loss_dice: 0.9378, decode.d5.loss_cls: 0.5514, decode.d5.loss_mask: 0.6343, decode.d5.loss_dice: 0.9409, decode.d6.loss_cls: 0.5495, decode.d6.loss_mask: 0.6347, decode.d6.loss_dice: 0.9333, decode.d7.loss_cls: 0.5510, decode.d7.loss_mask: 0.6347, decode.d7.loss_dice: 0.9353, decode.d8.loss_cls: 0.5514, decode.d8.loss_mask: 0.6319, decode.d8.loss_dice: 0.9307, loss: 22.6365, grad_norm: 44.2833 2023-11-12 02:04:44,820 - mmseg - INFO - Iter [23350/160000] lr: 8.541e-05, eta: 19:27:07, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5697, decode.loss_mask: 0.6964, decode.loss_dice: 0.9707, decode.d0.loss_cls: 1.5619, decode.d0.loss_mask: 0.7347, decode.d0.loss_dice: 1.0822, decode.d1.loss_cls: 0.6863, decode.d1.loss_mask: 0.7251, decode.d1.loss_dice: 1.0290, decode.d2.loss_cls: 0.6161, decode.d2.loss_mask: 0.7120, decode.d2.loss_dice: 1.0008, decode.d3.loss_cls: 0.5950, decode.d3.loss_mask: 0.7005, decode.d3.loss_dice: 0.9811, decode.d4.loss_cls: 0.5867, decode.d4.loss_mask: 0.6996, decode.d4.loss_dice: 0.9825, decode.d5.loss_cls: 0.5812, decode.d5.loss_mask: 0.6999, decode.d5.loss_dice: 0.9852, decode.d6.loss_cls: 0.5796, decode.d6.loss_mask: 0.6934, decode.d6.loss_dice: 0.9761, decode.d7.loss_cls: 0.5801, decode.d7.loss_mask: 0.6973, decode.d7.loss_dice: 0.9724, decode.d8.loss_cls: 0.5781, decode.d8.loss_mask: 0.6945, decode.d8.loss_dice: 0.9725, loss: 23.9407, grad_norm: 49.5204 2023-11-12 02:05:09,398 - mmseg - INFO - Iter [23400/160000] lr: 8.538e-05, eta: 19:26:35, time: 0.492, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5480, decode.loss_mask: 0.6518, decode.loss_dice: 0.9515, decode.d0.loss_cls: 1.5631, decode.d0.loss_mask: 0.6909, decode.d0.loss_dice: 1.0608, decode.d1.loss_cls: 0.6479, decode.d1.loss_mask: 0.6739, decode.d1.loss_dice: 1.0280, decode.d2.loss_cls: 0.5932, decode.d2.loss_mask: 0.6558, decode.d2.loss_dice: 0.9823, decode.d3.loss_cls: 0.5748, decode.d3.loss_mask: 0.6524, decode.d3.loss_dice: 0.9598, decode.d4.loss_cls: 0.5604, decode.d4.loss_mask: 0.6532, decode.d4.loss_dice: 0.9630, decode.d5.loss_cls: 0.5558, decode.d5.loss_mask: 0.6535, decode.d5.loss_dice: 0.9566, decode.d6.loss_cls: 0.5588, decode.d6.loss_mask: 0.6502, decode.d6.loss_dice: 0.9474, decode.d7.loss_cls: 0.5519, decode.d7.loss_mask: 0.6527, decode.d7.loss_dice: 0.9491, decode.d8.loss_cls: 0.5462, decode.d8.loss_mask: 0.6534, decode.d8.loss_dice: 0.9519, loss: 23.0383, grad_norm: 47.8409 2023-11-12 02:05:33,737 - mmseg - INFO - Iter [23450/160000] lr: 8.534e-05, eta: 19:26:02, time: 0.487, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5293, decode.loss_mask: 0.6590, decode.loss_dice: 0.9701, decode.d0.loss_cls: 1.5448, decode.d0.loss_mask: 0.6975, decode.d0.loss_dice: 1.0797, decode.d1.loss_cls: 0.6297, decode.d1.loss_mask: 0.6820, decode.d1.loss_dice: 1.0435, decode.d2.loss_cls: 0.5730, decode.d2.loss_mask: 0.6736, decode.d2.loss_dice: 0.9932, decode.d3.loss_cls: 0.5509, decode.d3.loss_mask: 0.6635, decode.d3.loss_dice: 0.9816, decode.d4.loss_cls: 0.5481, decode.d4.loss_mask: 0.6624, decode.d4.loss_dice: 0.9734, decode.d5.loss_cls: 0.5407, decode.d5.loss_mask: 0.6613, decode.d5.loss_dice: 0.9782, decode.d6.loss_cls: 0.5356, decode.d6.loss_mask: 0.6614, decode.d6.loss_dice: 0.9708, decode.d7.loss_cls: 0.5310, decode.d7.loss_mask: 0.6648, decode.d7.loss_dice: 0.9711, decode.d8.loss_cls: 0.5302, decode.d8.loss_mask: 0.6645, decode.d8.loss_dice: 0.9777, loss: 23.1428, grad_norm: 44.1516 2023-11-12 02:05:57,947 - mmseg - INFO - Iter [23500/160000] lr: 8.531e-05, eta: 19:25:28, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5471, decode.loss_mask: 0.6630, decode.loss_dice: 0.9540, decode.d0.loss_cls: 1.5485, decode.d0.loss_mask: 0.7002, decode.d0.loss_dice: 1.0676, decode.d1.loss_cls: 0.6543, decode.d1.loss_mask: 0.6856, decode.d1.loss_dice: 1.0246, decode.d2.loss_cls: 0.5924, decode.d2.loss_mask: 0.6761, decode.d2.loss_dice: 0.9868, decode.d3.loss_cls: 0.5726, decode.d3.loss_mask: 0.6687, decode.d3.loss_dice: 0.9671, decode.d4.loss_cls: 0.5582, decode.d4.loss_mask: 0.6658, decode.d4.loss_dice: 0.9674, decode.d5.loss_cls: 0.5566, decode.d5.loss_mask: 0.6651, decode.d5.loss_dice: 0.9679, decode.d6.loss_cls: 0.5588, decode.d6.loss_mask: 0.6619, decode.d6.loss_dice: 0.9529, decode.d7.loss_cls: 0.5569, decode.d7.loss_mask: 0.6611, decode.d7.loss_dice: 0.9555, decode.d8.loss_cls: 0.5478, decode.d8.loss_mask: 0.6610, decode.d8.loss_dice: 0.9526, loss: 23.1983, grad_norm: 48.4425 2023-11-12 02:06:22,186 - mmseg - INFO - Iter [23550/160000] lr: 8.528e-05, eta: 19:24:55, time: 0.485, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5360, decode.loss_mask: 0.6679, decode.loss_dice: 0.9715, decode.d0.loss_cls: 1.5286, decode.d0.loss_mask: 0.7018, decode.d0.loss_dice: 1.0768, decode.d1.loss_cls: 0.6559, decode.d1.loss_mask: 0.6954, decode.d1.loss_dice: 1.0299, decode.d2.loss_cls: 0.5838, decode.d2.loss_mask: 0.6807, decode.d2.loss_dice: 0.9990, decode.d3.loss_cls: 0.5654, decode.d3.loss_mask: 0.6713, decode.d3.loss_dice: 0.9757, decode.d4.loss_cls: 0.5603, decode.d4.loss_mask: 0.6673, decode.d4.loss_dice: 0.9736, decode.d5.loss_cls: 0.5499, decode.d5.loss_mask: 0.6726, decode.d5.loss_dice: 0.9793, decode.d6.loss_cls: 0.5454, decode.d6.loss_mask: 0.6697, decode.d6.loss_dice: 0.9647, decode.d7.loss_cls: 0.5436, decode.d7.loss_mask: 0.6692, decode.d7.loss_dice: 0.9673, decode.d8.loss_cls: 0.5345, decode.d8.loss_mask: 0.6718, decode.d8.loss_dice: 0.9731, loss: 23.2817, grad_norm: 50.8039 2023-11-12 02:06:46,346 - mmseg - INFO - Iter [23600/160000] lr: 8.525e-05, eta: 19:24:21, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5436, decode.loss_mask: 0.6808, decode.loss_dice: 0.9864, decode.d0.loss_cls: 1.5616, decode.d0.loss_mask: 0.7251, decode.d0.loss_dice: 1.0965, decode.d1.loss_cls: 0.6377, decode.d1.loss_mask: 0.7113, decode.d1.loss_dice: 1.0585, decode.d2.loss_cls: 0.5858, decode.d2.loss_mask: 0.6922, decode.d2.loss_dice: 1.0233, decode.d3.loss_cls: 0.5677, decode.d3.loss_mask: 0.6909, decode.d3.loss_dice: 0.9981, decode.d4.loss_cls: 0.5590, decode.d4.loss_mask: 0.6884, decode.d4.loss_dice: 0.9978, decode.d5.loss_cls: 0.5437, decode.d5.loss_mask: 0.6892, decode.d5.loss_dice: 0.9953, decode.d6.loss_cls: 0.5440, decode.d6.loss_mask: 0.6904, decode.d6.loss_dice: 0.9906, decode.d7.loss_cls: 0.5416, decode.d7.loss_mask: 0.6872, decode.d7.loss_dice: 0.9886, decode.d8.loss_cls: 0.5440, decode.d8.loss_mask: 0.6844, decode.d8.loss_dice: 0.9895, loss: 23.6932, grad_norm: 48.8168 2023-11-12 02:07:10,507 - mmseg - INFO - Iter [23650/160000] lr: 8.522e-05, eta: 19:23:47, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5626, decode.loss_mask: 0.6921, decode.loss_dice: 0.9840, decode.d0.loss_cls: 1.5649, decode.d0.loss_mask: 0.7311, decode.d0.loss_dice: 1.0859, decode.d1.loss_cls: 0.6582, decode.d1.loss_mask: 0.7257, decode.d1.loss_dice: 1.0561, decode.d2.loss_cls: 0.6065, decode.d2.loss_mask: 0.7022, decode.d2.loss_dice: 1.0205, decode.d3.loss_cls: 0.5841, decode.d3.loss_mask: 0.6949, decode.d3.loss_dice: 0.9925, decode.d4.loss_cls: 0.5730, decode.d4.loss_mask: 0.6924, decode.d4.loss_dice: 0.9943, decode.d5.loss_cls: 0.5699, decode.d5.loss_mask: 0.6948, decode.d5.loss_dice: 0.9905, decode.d6.loss_cls: 0.5662, decode.d6.loss_mask: 0.6902, decode.d6.loss_dice: 0.9878, decode.d7.loss_cls: 0.5590, decode.d7.loss_mask: 0.6919, decode.d7.loss_dice: 0.9887, decode.d8.loss_cls: 0.5596, decode.d8.loss_mask: 0.6935, decode.d8.loss_dice: 0.9844, loss: 23.8975, grad_norm: 48.0670 2023-11-12 02:07:34,606 - mmseg - INFO - Iter [23700/160000] lr: 8.519e-05, eta: 19:23:12, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5378, decode.loss_mask: 0.6672, decode.loss_dice: 0.9557, decode.d0.loss_cls: 1.5177, decode.d0.loss_mask: 0.6927, decode.d0.loss_dice: 1.0592, decode.d1.loss_cls: 0.6401, decode.d1.loss_mask: 0.6857, decode.d1.loss_dice: 1.0239, decode.d2.loss_cls: 0.5750, decode.d2.loss_mask: 0.6748, decode.d2.loss_dice: 0.9848, decode.d3.loss_cls: 0.5625, decode.d3.loss_mask: 0.6699, decode.d3.loss_dice: 0.9569, decode.d4.loss_cls: 0.5544, decode.d4.loss_mask: 0.6683, decode.d4.loss_dice: 0.9593, decode.d5.loss_cls: 0.5506, decode.d5.loss_mask: 0.6609, decode.d5.loss_dice: 0.9606, decode.d6.loss_cls: 0.5451, decode.d6.loss_mask: 0.6622, decode.d6.loss_dice: 0.9513, decode.d7.loss_cls: 0.5394, decode.d7.loss_mask: 0.6694, decode.d7.loss_dice: 0.9533, decode.d8.loss_cls: 0.5343, decode.d8.loss_mask: 0.6675, decode.d8.loss_dice: 0.9537, loss: 23.0344, grad_norm: 51.1368 2023-11-12 02:07:58,804 - mmseg - INFO - Iter [23750/160000] lr: 8.516e-05, eta: 19:22:38, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5414, decode.loss_mask: 0.6401, decode.loss_dice: 0.9104, decode.d0.loss_cls: 1.4991, decode.d0.loss_mask: 0.6751, decode.d0.loss_dice: 1.0349, decode.d1.loss_cls: 0.6353, decode.d1.loss_mask: 0.6734, decode.d1.loss_dice: 0.9766, decode.d2.loss_cls: 0.5764, decode.d2.loss_mask: 0.6502, decode.d2.loss_dice: 0.9497, decode.d3.loss_cls: 0.5595, decode.d3.loss_mask: 0.6456, decode.d3.loss_dice: 0.9312, decode.d4.loss_cls: 0.5478, decode.d4.loss_mask: 0.6458, decode.d4.loss_dice: 0.9271, decode.d5.loss_cls: 0.5434, decode.d5.loss_mask: 0.6479, decode.d5.loss_dice: 0.9237, decode.d6.loss_cls: 0.5460, decode.d6.loss_mask: 0.6383, decode.d6.loss_dice: 0.9160, decode.d7.loss_cls: 0.5359, decode.d7.loss_mask: 0.6435, decode.d7.loss_dice: 0.9142, decode.d8.loss_cls: 0.5394, decode.d8.loss_mask: 0.6376, decode.d8.loss_dice: 0.9120, loss: 22.4176, grad_norm: 47.5535 2023-11-12 02:08:23,440 - mmseg - INFO - Iter [23800/160000] lr: 8.513e-05, eta: 19:22:08, time: 0.494, data_time: 0.015, memory: 41146, decode.loss_cls: 0.5472, decode.loss_mask: 0.6469, decode.loss_dice: 0.9623, decode.d0.loss_cls: 1.5522, decode.d0.loss_mask: 0.6789, decode.d0.loss_dice: 1.0809, decode.d1.loss_cls: 0.6475, decode.d1.loss_mask: 0.6750, decode.d1.loss_dice: 1.0353, decode.d2.loss_cls: 0.5918, decode.d2.loss_mask: 0.6629, decode.d2.loss_dice: 0.9955, decode.d3.loss_cls: 0.5688, decode.d3.loss_mask: 0.6581, decode.d3.loss_dice: 0.9817, decode.d4.loss_cls: 0.5656, decode.d4.loss_mask: 0.6517, decode.d4.loss_dice: 0.9786, decode.d5.loss_cls: 0.5553, decode.d5.loss_mask: 0.6525, decode.d5.loss_dice: 0.9751, decode.d6.loss_cls: 0.5577, decode.d6.loss_mask: 0.6502, decode.d6.loss_dice: 0.9640, decode.d7.loss_cls: 0.5420, decode.d7.loss_mask: 0.6495, decode.d7.loss_dice: 0.9696, decode.d8.loss_cls: 0.5463, decode.d8.loss_mask: 0.6480, decode.d8.loss_dice: 0.9608, loss: 23.1520, grad_norm: 45.5090 2023-11-12 02:08:47,645 - mmseg - INFO - Iter [23850/160000] lr: 8.509e-05, eta: 19:21:34, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5472, decode.loss_mask: 0.6638, decode.loss_dice: 0.9634, decode.d0.loss_cls: 1.5557, decode.d0.loss_mask: 0.6965, decode.d0.loss_dice: 1.0827, decode.d1.loss_cls: 0.6443, decode.d1.loss_mask: 0.6943, decode.d1.loss_dice: 1.0347, decode.d2.loss_cls: 0.5952, decode.d2.loss_mask: 0.6759, decode.d2.loss_dice: 0.9938, decode.d3.loss_cls: 0.5703, decode.d3.loss_mask: 0.6656, decode.d3.loss_dice: 0.9721, decode.d4.loss_cls: 0.5655, decode.d4.loss_mask: 0.6684, decode.d4.loss_dice: 0.9783, decode.d5.loss_cls: 0.5620, decode.d5.loss_mask: 0.6665, decode.d5.loss_dice: 0.9719, decode.d6.loss_cls: 0.5592, decode.d6.loss_mask: 0.6668, decode.d6.loss_dice: 0.9620, decode.d7.loss_cls: 0.5643, decode.d7.loss_mask: 0.6659, decode.d7.loss_dice: 0.9646, decode.d8.loss_cls: 0.5507, decode.d8.loss_mask: 0.6690, decode.d8.loss_dice: 0.9660, loss: 23.3368, grad_norm: 46.7908 2023-11-12 02:09:11,755 - mmseg - INFO - Iter [23900/160000] lr: 8.506e-05, eta: 19:21:00, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5916, decode.loss_mask: 0.6606, decode.loss_dice: 0.9867, decode.d0.loss_cls: 1.6114, decode.d0.loss_mask: 0.6975, decode.d0.loss_dice: 1.1034, decode.d1.loss_cls: 0.6901, decode.d1.loss_mask: 0.6814, decode.d1.loss_dice: 1.0509, decode.d2.loss_cls: 0.6283, decode.d2.loss_mask: 0.6664, decode.d2.loss_dice: 1.0122, decode.d3.loss_cls: 0.5993, decode.d3.loss_mask: 0.6620, decode.d3.loss_dice: 0.9940, decode.d4.loss_cls: 0.5959, decode.d4.loss_mask: 0.6654, decode.d4.loss_dice: 0.9973, decode.d5.loss_cls: 0.5926, decode.d5.loss_mask: 0.6652, decode.d5.loss_dice: 0.9941, decode.d6.loss_cls: 0.5942, decode.d6.loss_mask: 0.6606, decode.d6.loss_dice: 0.9883, decode.d7.loss_cls: 0.5871, decode.d7.loss_mask: 0.6618, decode.d7.loss_dice: 0.9828, decode.d8.loss_cls: 0.5857, decode.d8.loss_mask: 0.6609, decode.d8.loss_dice: 0.9919, loss: 23.8595, grad_norm: 46.4172 2023-11-12 02:09:36,901 - mmseg - INFO - Iter [23950/160000] lr: 8.503e-05, eta: 19:20:32, time: 0.503, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5459, decode.loss_mask: 0.6371, decode.loss_dice: 0.9609, decode.d0.loss_cls: 1.5237, decode.d0.loss_mask: 0.6715, decode.d0.loss_dice: 1.0665, decode.d1.loss_cls: 0.6446, decode.d1.loss_mask: 0.6603, decode.d1.loss_dice: 1.0213, decode.d2.loss_cls: 0.5823, decode.d2.loss_mask: 0.6468, decode.d2.loss_dice: 0.9895, decode.d3.loss_cls: 0.5609, decode.d3.loss_mask: 0.6410, decode.d3.loss_dice: 0.9678, decode.d4.loss_cls: 0.5500, decode.d4.loss_mask: 0.6453, decode.d4.loss_dice: 0.9722, decode.d5.loss_cls: 0.5514, decode.d5.loss_mask: 0.6409, decode.d5.loss_dice: 0.9692, decode.d6.loss_cls: 0.5457, decode.d6.loss_mask: 0.6403, decode.d6.loss_dice: 0.9655, decode.d7.loss_cls: 0.5449, decode.d7.loss_mask: 0.6412, decode.d7.loss_dice: 0.9675, decode.d8.loss_cls: 0.5475, decode.d8.loss_mask: 0.6409, decode.d8.loss_dice: 0.9640, loss: 22.9068, grad_norm: 46.6865 2023-11-12 02:10:05,110 - mmseg - INFO - Saving checkpoint at 24000 iterations 2023-11-12 02:10:08,953 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 02:10:08,953 - mmseg - INFO - Iter [24000/160000] lr: 8.500e-05, eta: 19:20:43, time: 0.641, data_time: 0.059, memory: 41146, decode.loss_cls: 0.5626, decode.loss_mask: 0.6902, decode.loss_dice: 0.9661, decode.d0.loss_cls: 1.5544, decode.d0.loss_mask: 0.7293, decode.d0.loss_dice: 1.0883, decode.d1.loss_cls: 0.6732, decode.d1.loss_mask: 0.7162, decode.d1.loss_dice: 1.0453, decode.d2.loss_cls: 0.6207, decode.d2.loss_mask: 0.6998, decode.d2.loss_dice: 0.9968, decode.d3.loss_cls: 0.5873, decode.d3.loss_mask: 0.6976, decode.d3.loss_dice: 0.9761, decode.d4.loss_cls: 0.5783, decode.d4.loss_mask: 0.6932, decode.d4.loss_dice: 0.9768, decode.d5.loss_cls: 0.5732, decode.d5.loss_mask: 0.6982, decode.d5.loss_dice: 0.9789, decode.d6.loss_cls: 0.5648, decode.d6.loss_mask: 0.6891, decode.d6.loss_dice: 0.9707, decode.d7.loss_cls: 0.5664, decode.d7.loss_mask: 0.6874, decode.d7.loss_dice: 0.9735, decode.d8.loss_cls: 0.5590, decode.d8.loss_mask: 0.6907, decode.d8.loss_dice: 0.9714, loss: 23.7753, grad_norm: 49.7279 2023-11-12 02:10:34,245 - mmseg - INFO - per class results: 2023-11-12 02:10:34,250 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.67 | 84.93 | | building | 81.79 | 90.4 | | sky | 94.75 | 97.11 | | floor | 83.09 | 88.08 | | tree | 75.33 | 88.74 | | ceiling | 84.08 | 88.84 | | road | 82.15 | 88.21 | | bed | 87.41 | 95.16 | | windowpane | 60.43 | 85.02 | | grass | 63.21 | 72.31 | | cabinet | 61.81 | 78.08 | | sidewalk | 62.59 | 87.09 | | person | 84.53 | 91.23 | | earth | 36.29 | 45.22 | | door | 44.36 | 70.43 | | table | 57.9 | 66.78 | | mountain | 60.1 | 80.94 | | plant | 53.88 | 70.32 | | curtain | 75.01 | 84.13 | | chair | 58.98 | 74.87 | | car | 86.05 | 91.94 | | water | 45.61 | 58.4 | | painting | 75.12 | 89.78 | | sofa | 65.76 | 79.74 | | shelf | 39.54 | 54.01 | | house | 47.07 | 77.54 | | sea | 58.12 | 82.35 | | mirror | 73.7 | 82.73 | | rug | 69.13 | 77.82 | | field | 29.26 | 64.51 | | armchair | 44.08 | 64.88 | | seat | 63.31 | 82.01 | | fence | 48.42 | 67.23 | | desk | 41.75 | 75.86 | | rock | 56.22 | 72.55 | | wardrobe | 43.35 | 65.29 | | lamp | 68.72 | 77.81 | | bathtub | 87.69 | 92.91 | | railing | 33.72 | 58.04 | | cushion | 64.58 | 78.39 | | base | 29.8 | 55.75 | | box | 28.16 | 40.13 | | column | 51.92 | 73.85 | | signboard | 39.96 | 54.57 | | chest of drawers | 42.35 | 57.4 | | counter | 45.04 | 64.85 | | sand | 28.47 | 46.33 | | sink | 76.63 | 82.38 | | skyscraper | 46.47 | 59.6 | | fireplace | 76.09 | 92.79 | | refrigerator | 81.9 | 92.39 | | grandstand | 39.2 | 74.64 | | path | 10.47 | 13.87 | | stairs | 26.64 | 31.33 | | runway | 68.56 | 87.29 | | case | 40.19 | 56.09 | | pool table | 94.21 | 96.79 | | pillow | 56.96 | 68.98 | | screen door | 72.66 | 80.37 | | stairway | 29.31 | 48.06 | | river | 12.19 | 17.48 | | bridge | 76.4 | 90.44 | | bookcase | 31.67 | 72.07 | | blind | 32.56 | 35.73 | | coffee table | 64.22 | 85.02 | | toilet | 87.22 | 91.03 | | flower | 38.93 | 58.58 | | book | 50.39 | 65.66 | | hill | 6.24 | 14.47 | | bench | 46.09 | 57.47 | | countertop | 59.84 | 71.37 | | stove | 80.76 | 86.0 | | palm | 53.68 | 69.52 | | kitchen island | 29.49 | 55.79 | | computer | 74.12 | 81.38 | | swivel chair | 40.3 | 67.48 | | boat | 46.87 | 56.47 | | bar | 31.45 | 33.44 | | arcade machine | 65.6 | 71.04 | | hovel | 12.68 | 14.7 | | bus | 90.04 | 96.1 | | towel | 70.94 | 86.85 | | light | 54.16 | 80.8 | | truck | 38.96 | 53.48 | | tower | 18.42 | 36.83 | | chandelier | 63.77 | 81.99 | | awning | 38.09 | 53.12 | | streetlight | 37.72 | 49.39 | | booth | 30.83 | 38.41 | | television receiver | 70.55 | 78.4 | | airplane | 50.43 | 74.23 | | dirt track | 0.0 | 0.0 | | apparel | 24.09 | 46.33 | | pole | 28.0 | 46.11 | | land | 17.74 | 31.68 | | bannister | 10.58 | 12.61 | | escalator | 7.69 | 8.27 | | ottoman | 47.9 | 71.21 | | bottle | 29.15 | 41.63 | | buffet | 12.96 | 13.83 | | poster | 26.53 | 48.54 | | stage | 20.6 | 33.9 | | van | 38.5 | 56.22 | | ship | 53.95 | 80.76 | | fountain | 21.35 | 21.95 | | conveyer belt | 39.18 | 95.99 | | canopy | 17.5 | 23.92 | | washer | 36.34 | 75.39 | | plaything | 34.59 | 65.21 | | swimming pool | 55.27 | 57.56 | | stool | 44.98 | 65.66 | | barrel | 84.59 | 97.87 | | basket | 41.55 | 57.24 | | waterfall | 45.66 | 64.99 | | tent | 74.77 | 98.71 | | bag | 21.42 | 37.21 | | minibike | 67.85 | 93.42 | | cradle | 72.36 | 81.82 | | oven | 42.16 | 58.46 | | ball | 23.27 | 28.4 | | food | 63.06 | 89.8 | | step | 16.7 | 28.69 | | tank | 36.98 | 46.48 | | trade name | 28.91 | 40.33 | | microwave | 37.31 | 41.43 | | pot | 48.23 | 60.41 | | animal | 71.74 | 76.68 | | bicycle | 62.82 | 83.93 | | lake | 1.24 | 3.51 | | dishwasher | 78.41 | 84.57 | | screen | 64.94 | 91.5 | | blanket | 27.47 | 49.11 | | sculpture | 53.1 | 86.65 | | hood | 66.05 | 80.07 | | sconce | 53.17 | 66.38 | | vase | 48.69 | 72.78 | | traffic light | 29.84 | 79.78 | | tray | 17.26 | 42.64 | | ashcan | 39.26 | 66.63 | | fan | 66.37 | 81.06 | | pier | 2.38 | 2.6 | | crt screen | 5.81 | 19.05 | | plate | 64.82 | 81.02 | | monitor | 0.6 | 0.75 | | bulletin board | 44.47 | 50.7 | | shower | 15.42 | 25.68 | | radiator | 64.64 | 78.55 | | glass | 21.96 | 25.95 | | clock | 34.28 | 46.66 | | flag | 48.51 | 57.89 | +---------------------+-------+-------+ 2023-11-12 02:10:34,251 - mmseg - INFO - Summary: 2023-11-12 02:10:34,251 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 82.45 | 48.47 | 63.33 | +-------+-------+-------+ 2023-11-12 02:10:34,251 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 02:10:34,252 - mmseg - INFO - Iter(val) [250] aAcc: 0.8245, mIoU: 0.4847, mAcc: 0.6333, IoU.wall: 0.7767, IoU.building: 0.8179, IoU.sky: 0.9475, IoU.floor: 0.8309, IoU.tree: 0.7533, IoU.ceiling: 0.8408, IoU.road: 0.8215, IoU.bed : 0.8741, IoU.windowpane: 0.6043, IoU.grass: 0.6321, IoU.cabinet: 0.6181, IoU.sidewalk: 0.6259, IoU.person: 0.8453, IoU.earth: 0.3629, IoU.door: 0.4436, IoU.table: 0.5790, IoU.mountain: 0.6010, IoU.plant: 0.5388, IoU.curtain: 0.7501, IoU.chair: 0.5898, IoU.car: 0.8605, IoU.water: 0.4561, IoU.painting: 0.7512, IoU.sofa: 0.6576, IoU.shelf: 0.3954, IoU.house: 0.4707, IoU.sea: 0.5812, IoU.mirror: 0.7370, IoU.rug: 0.6913, IoU.field: 0.2926, IoU.armchair: 0.4408, IoU.seat: 0.6331, IoU.fence: 0.4842, IoU.desk: 0.4175, IoU.rock: 0.5622, IoU.wardrobe: 0.4335, IoU.lamp: 0.6872, IoU.bathtub: 0.8769, IoU.railing: 0.3372, IoU.cushion: 0.6458, IoU.base: 0.2980, IoU.box: 0.2816, IoU.column: 0.5192, IoU.signboard: 0.3996, IoU.chest of drawers: 0.4235, IoU.counter: 0.4504, IoU.sand: 0.2847, IoU.sink: 0.7663, IoU.skyscraper: 0.4647, IoU.fireplace: 0.7609, IoU.refrigerator: 0.8190, IoU.grandstand: 0.3920, IoU.path: 0.1047, IoU.stairs: 0.2664, IoU.runway: 0.6856, IoU.case: 0.4019, IoU.pool table: 0.9421, IoU.pillow: 0.5696, IoU.screen door: 0.7266, IoU.stairway: 0.2931, IoU.river: 0.1219, IoU.bridge: 0.7640, IoU.bookcase: 0.3167, IoU.blind: 0.3256, IoU.coffee table: 0.6422, IoU.toilet: 0.8722, IoU.flower: 0.3893, IoU.book: 0.5039, IoU.hill: 0.0624, IoU.bench: 0.4609, IoU.countertop: 0.5984, IoU.stove: 0.8076, IoU.palm: 0.5368, IoU.kitchen island: 0.2949, IoU.computer: 0.7412, IoU.swivel chair: 0.4030, IoU.boat: 0.4687, IoU.bar: 0.3145, IoU.arcade machine: 0.6560, IoU.hovel: 0.1268, IoU.bus: 0.9004, IoU.towel: 0.7094, IoU.light: 0.5416, IoU.truck: 0.3896, IoU.tower: 0.1842, IoU.chandelier: 0.6377, IoU.awning: 0.3809, IoU.streetlight: 0.3772, IoU.booth: 0.3083, IoU.television receiver: 0.7055, IoU.airplane: 0.5043, IoU.dirt track: 0.0000, IoU.apparel: 0.2409, IoU.pole: 0.2800, IoU.land: 0.1774, IoU.bannister: 0.1058, IoU.escalator: 0.0769, IoU.ottoman: 0.4790, IoU.bottle: 0.2915, IoU.buffet: 0.1296, IoU.poster: 0.2653, IoU.stage: 0.2060, IoU.van: 0.3850, IoU.ship: 0.5395, IoU.fountain: 0.2135, IoU.conveyer belt: 0.3918, IoU.canopy: 0.1750, IoU.washer: 0.3634, IoU.plaything: 0.3459, IoU.swimming pool: 0.5527, IoU.stool: 0.4498, IoU.barrel: 0.8459, IoU.basket: 0.4155, IoU.waterfall: 0.4566, IoU.tent: 0.7477, IoU.bag: 0.2142, IoU.minibike: 0.6785, IoU.cradle: 0.7236, IoU.oven: 0.4216, IoU.ball: 0.2327, IoU.food: 0.6306, IoU.step: 0.1670, IoU.tank: 0.3698, IoU.trade name: 0.2891, IoU.microwave: 0.3731, IoU.pot: 0.4823, IoU.animal: 0.7174, IoU.bicycle: 0.6282, IoU.lake: 0.0124, IoU.dishwasher: 0.7841, IoU.screen: 0.6494, IoU.blanket: 0.2747, IoU.sculpture: 0.5310, IoU.hood: 0.6605, IoU.sconce: 0.5317, IoU.vase: 0.4869, IoU.traffic light: 0.2984, IoU.tray: 0.1726, IoU.ashcan: 0.3926, IoU.fan: 0.6637, IoU.pier: 0.0238, IoU.crt screen: 0.0581, IoU.plate: 0.6482, IoU.monitor: 0.0060, IoU.bulletin board: 0.4447, IoU.shower: 0.1542, IoU.radiator: 0.6464, IoU.glass: 0.2196, IoU.clock: 0.3428, IoU.flag: 0.4851, Acc.wall: 0.8493, Acc.building: 0.9040, Acc.sky: 0.9711, Acc.floor: 0.8808, Acc.tree: 0.8874, Acc.ceiling: 0.8884, Acc.road: 0.8821, Acc.bed : 0.9516, Acc.windowpane: 0.8502, Acc.grass: 0.7231, Acc.cabinet: 0.7808, Acc.sidewalk: 0.8709, Acc.person: 0.9123, Acc.earth: 0.4522, Acc.door: 0.7043, Acc.table: 0.6678, Acc.mountain: 0.8094, Acc.plant: 0.7032, Acc.curtain: 0.8413, Acc.chair: 0.7487, Acc.car: 0.9194, Acc.water: 0.5840, Acc.painting: 0.8978, Acc.sofa: 0.7974, Acc.shelf: 0.5401, Acc.house: 0.7754, Acc.sea: 0.8235, Acc.mirror: 0.8273, Acc.rug: 0.7782, Acc.field: 0.6451, Acc.armchair: 0.6488, Acc.seat: 0.8201, Acc.fence: 0.6723, Acc.desk: 0.7586, Acc.rock: 0.7255, Acc.wardrobe: 0.6529, Acc.lamp: 0.7781, Acc.bathtub: 0.9291, Acc.railing: 0.5804, Acc.cushion: 0.7839, Acc.base: 0.5575, Acc.box: 0.4013, Acc.column: 0.7385, Acc.signboard: 0.5457, Acc.chest of drawers: 0.5740, Acc.counter: 0.6485, Acc.sand: 0.4633, Acc.sink: 0.8238, Acc.skyscraper: 0.5960, Acc.fireplace: 0.9279, Acc.refrigerator: 0.9239, Acc.grandstand: 0.7464, Acc.path: 0.1387, Acc.stairs: 0.3133, Acc.runway: 0.8729, Acc.case: 0.5609, Acc.pool table: 0.9679, Acc.pillow: 0.6898, Acc.screen door: 0.8037, Acc.stairway: 0.4806, Acc.river: 0.1748, Acc.bridge: 0.9044, Acc.bookcase: 0.7207, Acc.blind: 0.3573, Acc.coffee table: 0.8502, Acc.toilet: 0.9103, Acc.flower: 0.5858, Acc.book: 0.6566, Acc.hill: 0.1447, Acc.bench: 0.5747, Acc.countertop: 0.7137, Acc.stove: 0.8600, Acc.palm: 0.6952, Acc.kitchen island: 0.5579, Acc.computer: 0.8138, Acc.swivel chair: 0.6748, Acc.boat: 0.5647, Acc.bar: 0.3344, Acc.arcade machine: 0.7104, Acc.hovel: 0.1470, Acc.bus: 0.9610, Acc.towel: 0.8685, Acc.light: 0.8080, Acc.truck: 0.5348, Acc.tower: 0.3683, Acc.chandelier: 0.8199, Acc.awning: 0.5312, Acc.streetlight: 0.4939, Acc.booth: 0.3841, Acc.television receiver: 0.7840, Acc.airplane: 0.7423, Acc.dirt track: 0.0000, Acc.apparel: 0.4633, Acc.pole: 0.4611, Acc.land: 0.3168, Acc.bannister: 0.1261, Acc.escalator: 0.0827, Acc.ottoman: 0.7121, Acc.bottle: 0.4163, Acc.buffet: 0.1383, Acc.poster: 0.4854, Acc.stage: 0.3390, Acc.van: 0.5622, Acc.ship: 0.8076, Acc.fountain: 0.2195, Acc.conveyer belt: 0.9599, Acc.canopy: 0.2392, Acc.washer: 0.7539, Acc.plaything: 0.6521, Acc.swimming pool: 0.5756, Acc.stool: 0.6566, Acc.barrel: 0.9787, Acc.basket: 0.5724, Acc.waterfall: 0.6499, Acc.tent: 0.9871, Acc.bag: 0.3721, Acc.minibike: 0.9342, Acc.cradle: 0.8182, Acc.oven: 0.5846, Acc.ball: 0.2840, Acc.food: 0.8980, Acc.step: 0.2869, Acc.tank: 0.4648, Acc.trade name: 0.4033, Acc.microwave: 0.4143, Acc.pot: 0.6041, Acc.animal: 0.7668, Acc.bicycle: 0.8393, Acc.lake: 0.0351, Acc.dishwasher: 0.8457, Acc.screen: 0.9150, Acc.blanket: 0.4911, Acc.sculpture: 0.8665, Acc.hood: 0.8007, Acc.sconce: 0.6638, Acc.vase: 0.7278, Acc.traffic light: 0.7978, Acc.tray: 0.4264, Acc.ashcan: 0.6663, Acc.fan: 0.8106, Acc.pier: 0.0260, Acc.crt screen: 0.1905, Acc.plate: 0.8102, Acc.monitor: 0.0075, Acc.bulletin board: 0.5070, Acc.shower: 0.2568, Acc.radiator: 0.7855, Acc.glass: 0.2595, Acc.clock: 0.4666, Acc.flag: 0.5789 2023-11-12 02:10:58,488 - mmseg - INFO - Iter [24050/160000] lr: 8.497e-05, eta: 19:22:33, time: 0.991, data_time: 0.519, memory: 41146, decode.loss_cls: 0.5111, decode.loss_mask: 0.6555, decode.loss_dice: 0.9510, decode.d0.loss_cls: 1.5190, decode.d0.loss_mask: 0.6830, decode.d0.loss_dice: 1.0488, decode.d1.loss_cls: 0.6051, decode.d1.loss_mask: 0.6784, decode.d1.loss_dice: 1.0089, decode.d2.loss_cls: 0.5486, decode.d2.loss_mask: 0.6627, decode.d2.loss_dice: 0.9702, decode.d3.loss_cls: 0.5305, decode.d3.loss_mask: 0.6528, decode.d3.loss_dice: 0.9466, decode.d4.loss_cls: 0.5192, decode.d4.loss_mask: 0.6523, decode.d4.loss_dice: 0.9491, decode.d5.loss_cls: 0.5125, decode.d5.loss_mask: 0.6554, decode.d5.loss_dice: 0.9522, decode.d6.loss_cls: 0.5137, decode.d6.loss_mask: 0.6563, decode.d6.loss_dice: 0.9478, decode.d7.loss_cls: 0.5035, decode.d7.loss_mask: 0.6528, decode.d7.loss_dice: 0.9472, decode.d8.loss_cls: 0.5116, decode.d8.loss_mask: 0.6517, decode.d8.loss_dice: 0.9506, loss: 22.5483, grad_norm: 45.2318 2023-11-12 02:11:22,865 - mmseg - INFO - Iter [24100/160000] lr: 8.494e-05, eta: 19:22:00, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5407, decode.loss_mask: 0.6655, decode.loss_dice: 0.9672, decode.d0.loss_cls: 1.5615, decode.d0.loss_mask: 0.6967, decode.d0.loss_dice: 1.0733, decode.d1.loss_cls: 0.6571, decode.d1.loss_mask: 0.6820, decode.d1.loss_dice: 1.0364, decode.d2.loss_cls: 0.5834, decode.d2.loss_mask: 0.6699, decode.d2.loss_dice: 0.9991, decode.d3.loss_cls: 0.5608, decode.d3.loss_mask: 0.6651, decode.d3.loss_dice: 0.9797, decode.d4.loss_cls: 0.5543, decode.d4.loss_mask: 0.6662, decode.d4.loss_dice: 0.9777, decode.d5.loss_cls: 0.5558, decode.d5.loss_mask: 0.6646, decode.d5.loss_dice: 0.9769, decode.d6.loss_cls: 0.5462, decode.d6.loss_mask: 0.6686, decode.d6.loss_dice: 0.9738, decode.d7.loss_cls: 0.5484, decode.d7.loss_mask: 0.6651, decode.d7.loss_dice: 0.9748, decode.d8.loss_cls: 0.5443, decode.d8.loss_mask: 0.6655, decode.d8.loss_dice: 0.9748, loss: 23.2954, grad_norm: 46.3584 2023-11-12 02:11:47,223 - mmseg - INFO - Iter [24150/160000] lr: 8.491e-05, eta: 19:21:27, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5061, decode.loss_mask: 0.6588, decode.loss_dice: 0.9438, decode.d0.loss_cls: 1.5018, decode.d0.loss_mask: 0.6938, decode.d0.loss_dice: 1.0492, decode.d1.loss_cls: 0.6005, decode.d1.loss_mask: 0.6846, decode.d1.loss_dice: 1.0093, decode.d2.loss_cls: 0.5488, decode.d2.loss_mask: 0.6682, decode.d2.loss_dice: 0.9694, decode.d3.loss_cls: 0.5314, decode.d3.loss_mask: 0.6604, decode.d3.loss_dice: 0.9458, decode.d4.loss_cls: 0.5282, decode.d4.loss_mask: 0.6624, decode.d4.loss_dice: 0.9510, decode.d5.loss_cls: 0.5129, decode.d5.loss_mask: 0.6608, decode.d5.loss_dice: 0.9490, decode.d6.loss_cls: 0.5150, decode.d6.loss_mask: 0.6591, decode.d6.loss_dice: 0.9393, decode.d7.loss_cls: 0.5023, decode.d7.loss_mask: 0.6618, decode.d7.loss_dice: 0.9469, decode.d8.loss_cls: 0.5034, decode.d8.loss_mask: 0.6612, decode.d8.loss_dice: 0.9432, loss: 22.5683, grad_norm: 45.5831 2023-11-12 02:12:11,718 - mmseg - INFO - Iter [24200/160000] lr: 8.488e-05, eta: 19:20:55, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5169, decode.loss_mask: 0.6597, decode.loss_dice: 0.9572, decode.d0.loss_cls: 1.5473, decode.d0.loss_mask: 0.6951, decode.d0.loss_dice: 1.0671, decode.d1.loss_cls: 0.6487, decode.d1.loss_mask: 0.6854, decode.d1.loss_dice: 1.0140, decode.d2.loss_cls: 0.5748, decode.d2.loss_mask: 0.6673, decode.d2.loss_dice: 0.9869, decode.d3.loss_cls: 0.5522, decode.d3.loss_mask: 0.6575, decode.d3.loss_dice: 0.9584, decode.d4.loss_cls: 0.5357, decode.d4.loss_mask: 0.6595, decode.d4.loss_dice: 0.9610, decode.d5.loss_cls: 0.5315, decode.d5.loss_mask: 0.6581, decode.d5.loss_dice: 0.9592, decode.d6.loss_cls: 0.5253, decode.d6.loss_mask: 0.6552, decode.d6.loss_dice: 0.9478, decode.d7.loss_cls: 0.5223, decode.d7.loss_mask: 0.6535, decode.d7.loss_dice: 0.9509, decode.d8.loss_cls: 0.5211, decode.d8.loss_mask: 0.6541, decode.d8.loss_dice: 0.9542, loss: 22.8779, grad_norm: 49.1342 2023-11-12 02:12:36,117 - mmseg - INFO - Iter [24250/160000] lr: 8.484e-05, eta: 19:20:22, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5157, decode.loss_mask: 0.6447, decode.loss_dice: 0.9429, decode.d0.loss_cls: 1.5204, decode.d0.loss_mask: 0.6776, decode.d0.loss_dice: 1.0440, decode.d1.loss_cls: 0.6194, decode.d1.loss_mask: 0.6661, decode.d1.loss_dice: 0.9988, decode.d2.loss_cls: 0.5567, decode.d2.loss_mask: 0.6599, decode.d2.loss_dice: 0.9592, decode.d3.loss_cls: 0.5337, decode.d3.loss_mask: 0.6500, decode.d3.loss_dice: 0.9466, decode.d4.loss_cls: 0.5207, decode.d4.loss_mask: 0.6483, decode.d4.loss_dice: 0.9479, decode.d5.loss_cls: 0.5260, decode.d5.loss_mask: 0.6460, decode.d5.loss_dice: 0.9409, decode.d6.loss_cls: 0.5199, decode.d6.loss_mask: 0.6479, decode.d6.loss_dice: 0.9316, decode.d7.loss_cls: 0.5176, decode.d7.loss_mask: 0.6477, decode.d7.loss_dice: 0.9351, decode.d8.loss_cls: 0.5221, decode.d8.loss_mask: 0.6436, decode.d8.loss_dice: 0.9391, loss: 22.4699, grad_norm: 46.6936 2023-11-12 02:13:00,594 - mmseg - INFO - Iter [24300/160000] lr: 8.481e-05, eta: 19:19:50, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5247, decode.loss_mask: 0.6248, decode.loss_dice: 0.9308, decode.d0.loss_cls: 1.5368, decode.d0.loss_mask: 0.6582, decode.d0.loss_dice: 1.0445, decode.d1.loss_cls: 0.6192, decode.d1.loss_mask: 0.6441, decode.d1.loss_dice: 0.9911, decode.d2.loss_cls: 0.5537, decode.d2.loss_mask: 0.6303, decode.d2.loss_dice: 0.9561, decode.d3.loss_cls: 0.5427, decode.d3.loss_mask: 0.6240, decode.d3.loss_dice: 0.9342, decode.d4.loss_cls: 0.5326, decode.d4.loss_mask: 0.6290, decode.d4.loss_dice: 0.9367, decode.d5.loss_cls: 0.5309, decode.d5.loss_mask: 0.6265, decode.d5.loss_dice: 0.9362, decode.d6.loss_cls: 0.5273, decode.d6.loss_mask: 0.6241, decode.d6.loss_dice: 0.9305, decode.d7.loss_cls: 0.5256, decode.d7.loss_mask: 0.6282, decode.d7.loss_dice: 0.9334, decode.d8.loss_cls: 0.5234, decode.d8.loss_mask: 0.6256, decode.d8.loss_dice: 0.9287, loss: 22.2537, grad_norm: 45.2580 2023-11-12 02:13:24,853 - mmseg - INFO - Iter [24350/160000] lr: 8.478e-05, eta: 19:19:17, time: 0.485, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5522, decode.loss_mask: 0.6438, decode.loss_dice: 0.9396, decode.d0.loss_cls: 1.5987, decode.d0.loss_mask: 0.6784, decode.d0.loss_dice: 1.0560, decode.d1.loss_cls: 0.6691, decode.d1.loss_mask: 0.6666, decode.d1.loss_dice: 1.0086, decode.d2.loss_cls: 0.5934, decode.d2.loss_mask: 0.6527, decode.d2.loss_dice: 0.9632, decode.d3.loss_cls: 0.5651, decode.d3.loss_mask: 0.6447, decode.d3.loss_dice: 0.9437, decode.d4.loss_cls: 0.5588, decode.d4.loss_mask: 0.6447, decode.d4.loss_dice: 0.9457, decode.d5.loss_cls: 0.5570, decode.d5.loss_mask: 0.6463, decode.d5.loss_dice: 0.9499, decode.d6.loss_cls: 0.5568, decode.d6.loss_mask: 0.6453, decode.d6.loss_dice: 0.9369, decode.d7.loss_cls: 0.5492, decode.d7.loss_mask: 0.6455, decode.d7.loss_dice: 0.9359, decode.d8.loss_cls: 0.5489, decode.d8.loss_mask: 0.6448, decode.d8.loss_dice: 0.9381, loss: 22.8795, grad_norm: 46.7362 2023-11-12 02:13:49,085 - mmseg - INFO - Iter [24400/160000] lr: 8.475e-05, eta: 19:18:43, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5177, decode.loss_mask: 0.6674, decode.loss_dice: 0.9325, decode.d0.loss_cls: 1.4985, decode.d0.loss_mask: 0.7082, decode.d0.loss_dice: 1.0484, decode.d1.loss_cls: 0.6141, decode.d1.loss_mask: 0.6882, decode.d1.loss_dice: 0.9919, decode.d2.loss_cls: 0.5574, decode.d2.loss_mask: 0.6783, decode.d2.loss_dice: 0.9604, decode.d3.loss_cls: 0.5348, decode.d3.loss_mask: 0.6758, decode.d3.loss_dice: 0.9474, decode.d4.loss_cls: 0.5274, decode.d4.loss_mask: 0.6702, decode.d4.loss_dice: 0.9517, decode.d5.loss_cls: 0.5247, decode.d5.loss_mask: 0.6742, decode.d5.loss_dice: 0.9463, decode.d6.loss_cls: 0.5140, decode.d6.loss_mask: 0.6737, decode.d6.loss_dice: 0.9438, decode.d7.loss_cls: 0.5115, decode.d7.loss_mask: 0.6739, decode.d7.loss_dice: 0.9410, decode.d8.loss_cls: 0.5156, decode.d8.loss_mask: 0.6722, decode.d8.loss_dice: 0.9418, loss: 22.7031, grad_norm: 49.2122 2023-11-12 02:14:13,481 - mmseg - INFO - Iter [24450/160000] lr: 8.472e-05, eta: 19:18:11, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5406, decode.loss_mask: 0.6641, decode.loss_dice: 0.9699, decode.d0.loss_cls: 1.5698, decode.d0.loss_mask: 0.7078, decode.d0.loss_dice: 1.0893, decode.d1.loss_cls: 0.6546, decode.d1.loss_mask: 0.6916, decode.d1.loss_dice: 1.0388, decode.d2.loss_cls: 0.5907, decode.d2.loss_mask: 0.6766, decode.d2.loss_dice: 1.0004, decode.d3.loss_cls: 0.5683, decode.d3.loss_mask: 0.6711, decode.d3.loss_dice: 0.9700, decode.d4.loss_cls: 0.5584, decode.d4.loss_mask: 0.6687, decode.d4.loss_dice: 0.9735, decode.d5.loss_cls: 0.5528, decode.d5.loss_mask: 0.6644, decode.d5.loss_dice: 0.9758, decode.d6.loss_cls: 0.5473, decode.d6.loss_mask: 0.6646, decode.d6.loss_dice: 0.9620, decode.d7.loss_cls: 0.5446, decode.d7.loss_mask: 0.6629, decode.d7.loss_dice: 0.9629, decode.d8.loss_cls: 0.5422, decode.d8.loss_mask: 0.6659, decode.d8.loss_dice: 0.9681, loss: 23.3179, grad_norm: 51.6324 2023-11-12 02:14:37,682 - mmseg - INFO - Iter [24500/160000] lr: 8.469e-05, eta: 19:17:37, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5198, decode.loss_mask: 0.6647, decode.loss_dice: 0.9385, decode.d0.loss_cls: 1.5208, decode.d0.loss_mask: 0.7045, decode.d0.loss_dice: 1.0537, decode.d1.loss_cls: 0.6222, decode.d1.loss_mask: 0.6892, decode.d1.loss_dice: 1.0039, decode.d2.loss_cls: 0.5610, decode.d2.loss_mask: 0.6776, decode.d2.loss_dice: 0.9744, decode.d3.loss_cls: 0.5426, decode.d3.loss_mask: 0.6713, decode.d3.loss_dice: 0.9490, decode.d4.loss_cls: 0.5316, decode.d4.loss_mask: 0.6705, decode.d4.loss_dice: 0.9566, decode.d5.loss_cls: 0.5325, decode.d5.loss_mask: 0.6671, decode.d5.loss_dice: 0.9489, decode.d6.loss_cls: 0.5265, decode.d6.loss_mask: 0.6638, decode.d6.loss_dice: 0.9378, decode.d7.loss_cls: 0.5270, decode.d7.loss_mask: 0.6632, decode.d7.loss_dice: 0.9390, decode.d8.loss_cls: 0.5171, decode.d8.loss_mask: 0.6654, decode.d8.loss_dice: 0.9425, loss: 22.7827, grad_norm: 48.4647 2023-11-12 02:15:01,915 - mmseg - INFO - Iter [24550/160000] lr: 8.466e-05, eta: 19:17:04, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5275, decode.loss_mask: 0.6388, decode.loss_dice: 0.9383, decode.d0.loss_cls: 1.5224, decode.d0.loss_mask: 0.6825, decode.d0.loss_dice: 1.0498, decode.d1.loss_cls: 0.6371, decode.d1.loss_mask: 0.6665, decode.d1.loss_dice: 1.0132, decode.d2.loss_cls: 0.5759, decode.d2.loss_mask: 0.6518, decode.d2.loss_dice: 0.9740, decode.d3.loss_cls: 0.5483, decode.d3.loss_mask: 0.6423, decode.d3.loss_dice: 0.9489, decode.d4.loss_cls: 0.5371, decode.d4.loss_mask: 0.6432, decode.d4.loss_dice: 0.9549, decode.d5.loss_cls: 0.5359, decode.d5.loss_mask: 0.6381, decode.d5.loss_dice: 0.9435, decode.d6.loss_cls: 0.5350, decode.d6.loss_mask: 0.6388, decode.d6.loss_dice: 0.9391, decode.d7.loss_cls: 0.5288, decode.d7.loss_mask: 0.6363, decode.d7.loss_dice: 0.9399, decode.d8.loss_cls: 0.5285, decode.d8.loss_mask: 0.6377, decode.d8.loss_dice: 0.9409, loss: 22.5949, grad_norm: 48.2595 2023-11-12 02:15:26,327 - mmseg - INFO - Iter [24600/160000] lr: 8.463e-05, eta: 19:16:31, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5539, decode.loss_mask: 0.6413, decode.loss_dice: 0.9579, decode.d0.loss_cls: 1.5549, decode.d0.loss_mask: 0.6849, decode.d0.loss_dice: 1.0787, decode.d1.loss_cls: 0.6667, decode.d1.loss_mask: 0.6666, decode.d1.loss_dice: 1.0263, decode.d2.loss_cls: 0.6091, decode.d2.loss_mask: 0.6482, decode.d2.loss_dice: 0.9795, decode.d3.loss_cls: 0.5827, decode.d3.loss_mask: 0.6411, decode.d3.loss_dice: 0.9545, decode.d4.loss_cls: 0.5760, decode.d4.loss_mask: 0.6387, decode.d4.loss_dice: 0.9552, decode.d5.loss_cls: 0.5673, decode.d5.loss_mask: 0.6388, decode.d5.loss_dice: 0.9588, decode.d6.loss_cls: 0.5627, decode.d6.loss_mask: 0.6410, decode.d6.loss_dice: 0.9551, decode.d7.loss_cls: 0.5615, decode.d7.loss_mask: 0.6422, decode.d7.loss_dice: 0.9586, decode.d8.loss_cls: 0.5572, decode.d8.loss_mask: 0.6380, decode.d8.loss_dice: 0.9599, loss: 23.0572, grad_norm: 44.8349 2023-11-12 02:15:50,817 - mmseg - INFO - Iter [24650/160000] lr: 8.459e-05, eta: 19:16:00, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5466, decode.loss_mask: 0.6616, decode.loss_dice: 0.9550, decode.d0.loss_cls: 1.5481, decode.d0.loss_mask: 0.7045, decode.d0.loss_dice: 1.0720, decode.d1.loss_cls: 0.6540, decode.d1.loss_mask: 0.6931, decode.d1.loss_dice: 1.0289, decode.d2.loss_cls: 0.5818, decode.d2.loss_mask: 0.6753, decode.d2.loss_dice: 0.9888, decode.d3.loss_cls: 0.5653, decode.d3.loss_mask: 0.6674, decode.d3.loss_dice: 0.9646, decode.d4.loss_cls: 0.5494, decode.d4.loss_mask: 0.6643, decode.d4.loss_dice: 0.9687, decode.d5.loss_cls: 0.5436, decode.d5.loss_mask: 0.6703, decode.d5.loss_dice: 0.9702, decode.d6.loss_cls: 0.5430, decode.d6.loss_mask: 0.6640, decode.d6.loss_dice: 0.9598, decode.d7.loss_cls: 0.5494, decode.d7.loss_mask: 0.6626, decode.d7.loss_dice: 0.9553, decode.d8.loss_cls: 0.5492, decode.d8.loss_mask: 0.6585, decode.d8.loss_dice: 0.9600, loss: 23.1752, grad_norm: 47.7552 2023-11-12 02:16:14,945 - mmseg - INFO - Iter [24700/160000] lr: 8.456e-05, eta: 19:15:26, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5384, decode.loss_mask: 0.6490, decode.loss_dice: 0.9466, decode.d0.loss_cls: 1.5590, decode.d0.loss_mask: 0.6934, decode.d0.loss_dice: 1.0504, decode.d1.loss_cls: 0.6337, decode.d1.loss_mask: 0.6800, decode.d1.loss_dice: 1.0153, decode.d2.loss_cls: 0.5809, decode.d2.loss_mask: 0.6639, decode.d2.loss_dice: 0.9753, decode.d3.loss_cls: 0.5632, decode.d3.loss_mask: 0.6531, decode.d3.loss_dice: 0.9519, decode.d4.loss_cls: 0.5540, decode.d4.loss_mask: 0.6506, decode.d4.loss_dice: 0.9613, decode.d5.loss_cls: 0.5462, decode.d5.loss_mask: 0.6522, decode.d5.loss_dice: 0.9523, decode.d6.loss_cls: 0.5422, decode.d6.loss_mask: 0.6551, decode.d6.loss_dice: 0.9508, decode.d7.loss_cls: 0.5354, decode.d7.loss_mask: 0.6485, decode.d7.loss_dice: 0.9474, decode.d8.loss_cls: 0.5360, decode.d8.loss_mask: 0.6520, decode.d8.loss_dice: 0.9504, loss: 22.8887, grad_norm: 46.6680 2023-11-12 02:16:39,302 - mmseg - INFO - Iter [24750/160000] lr: 8.453e-05, eta: 19:14:53, time: 0.487, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5495, decode.loss_mask: 0.6601, decode.loss_dice: 0.9625, decode.d0.loss_cls: 1.5513, decode.d0.loss_mask: 0.6948, decode.d0.loss_dice: 1.0740, decode.d1.loss_cls: 0.6545, decode.d1.loss_mask: 0.6890, decode.d1.loss_dice: 1.0227, decode.d2.loss_cls: 0.6034, decode.d2.loss_mask: 0.6754, decode.d2.loss_dice: 0.9889, decode.d3.loss_cls: 0.5724, decode.d3.loss_mask: 0.6650, decode.d3.loss_dice: 0.9731, decode.d4.loss_cls: 0.5656, decode.d4.loss_mask: 0.6653, decode.d4.loss_dice: 0.9690, decode.d5.loss_cls: 0.5533, decode.d5.loss_mask: 0.6638, decode.d5.loss_dice: 0.9676, decode.d6.loss_cls: 0.5500, decode.d6.loss_mask: 0.6621, decode.d6.loss_dice: 0.9682, decode.d7.loss_cls: 0.5476, decode.d7.loss_mask: 0.6618, decode.d7.loss_dice: 0.9663, decode.d8.loss_cls: 0.5451, decode.d8.loss_mask: 0.6591, decode.d8.loss_dice: 0.9645, loss: 23.2459, grad_norm: 49.9356 2023-11-12 02:17:03,475 - mmseg - INFO - Iter [24800/160000] lr: 8.450e-05, eta: 19:14:20, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5500, decode.loss_mask: 0.6902, decode.loss_dice: 0.9933, decode.d0.loss_cls: 1.5352, decode.d0.loss_mask: 0.7246, decode.d0.loss_dice: 1.1103, decode.d1.loss_cls: 0.6567, decode.d1.loss_mask: 0.7160, decode.d1.loss_dice: 1.0662, decode.d2.loss_cls: 0.5921, decode.d2.loss_mask: 0.7005, decode.d2.loss_dice: 1.0281, decode.d3.loss_cls: 0.5767, decode.d3.loss_mask: 0.6897, decode.d3.loss_dice: 1.0096, decode.d4.loss_cls: 0.5589, decode.d4.loss_mask: 0.6880, decode.d4.loss_dice: 1.0137, decode.d5.loss_cls: 0.5573, decode.d5.loss_mask: 0.6878, decode.d5.loss_dice: 1.0064, decode.d6.loss_cls: 0.5636, decode.d6.loss_mask: 0.6885, decode.d6.loss_dice: 0.9939, decode.d7.loss_cls: 0.5538, decode.d7.loss_mask: 0.6896, decode.d7.loss_dice: 0.9982, decode.d8.loss_cls: 0.5516, decode.d8.loss_mask: 0.6875, decode.d8.loss_dice: 1.0041, loss: 23.8816, grad_norm: 43.9981 2023-11-12 02:17:27,675 - mmseg - INFO - Iter [24850/160000] lr: 8.447e-05, eta: 19:13:46, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5375, decode.loss_mask: 0.6569, decode.loss_dice: 0.9477, decode.d0.loss_cls: 1.5455, decode.d0.loss_mask: 0.6938, decode.d0.loss_dice: 1.0559, decode.d1.loss_cls: 0.6401, decode.d1.loss_mask: 0.6778, decode.d1.loss_dice: 1.0106, decode.d2.loss_cls: 0.5885, decode.d2.loss_mask: 0.6633, decode.d2.loss_dice: 0.9680, decode.d3.loss_cls: 0.5614, decode.d3.loss_mask: 0.6601, decode.d3.loss_dice: 0.9574, decode.d4.loss_cls: 0.5466, decode.d4.loss_mask: 0.6575, decode.d4.loss_dice: 0.9581, decode.d5.loss_cls: 0.5432, decode.d5.loss_mask: 0.6610, decode.d5.loss_dice: 0.9588, decode.d6.loss_cls: 0.5445, decode.d6.loss_mask: 0.6544, decode.d6.loss_dice: 0.9482, decode.d7.loss_cls: 0.5381, decode.d7.loss_mask: 0.6567, decode.d7.loss_dice: 0.9487, decode.d8.loss_cls: 0.5404, decode.d8.loss_mask: 0.6556, decode.d8.loss_dice: 0.9499, loss: 22.9265, grad_norm: 49.5225 2023-11-12 02:17:51,830 - mmseg - INFO - Iter [24900/160000] lr: 8.444e-05, eta: 19:13:13, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5149, decode.loss_mask: 0.6490, decode.loss_dice: 0.9346, decode.d0.loss_cls: 1.5101, decode.d0.loss_mask: 0.6838, decode.d0.loss_dice: 1.0331, decode.d1.loss_cls: 0.6218, decode.d1.loss_mask: 0.6755, decode.d1.loss_dice: 0.9939, decode.d2.loss_cls: 0.5655, decode.d2.loss_mask: 0.6589, decode.d2.loss_dice: 0.9622, decode.d3.loss_cls: 0.5431, decode.d3.loss_mask: 0.6471, decode.d3.loss_dice: 0.9383, decode.d4.loss_cls: 0.5363, decode.d4.loss_mask: 0.6474, decode.d4.loss_dice: 0.9361, decode.d5.loss_cls: 0.5291, decode.d5.loss_mask: 0.6510, decode.d5.loss_dice: 0.9441, decode.d6.loss_cls: 0.5241, decode.d6.loss_mask: 0.6515, decode.d6.loss_dice: 0.9332, decode.d7.loss_cls: 0.5198, decode.d7.loss_mask: 0.6501, decode.d7.loss_dice: 0.9311, decode.d8.loss_cls: 0.5149, decode.d8.loss_mask: 0.6506, decode.d8.loss_dice: 0.9348, loss: 22.4860, grad_norm: 46.8756 2023-11-12 02:18:16,159 - mmseg - INFO - Iter [24950/160000] lr: 8.441e-05, eta: 19:12:40, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5408, decode.loss_mask: 0.6424, decode.loss_dice: 0.9352, decode.d0.loss_cls: 1.5920, decode.d0.loss_mask: 0.6775, decode.d0.loss_dice: 1.0551, decode.d1.loss_cls: 0.6470, decode.d1.loss_mask: 0.6661, decode.d1.loss_dice: 1.0030, decode.d2.loss_cls: 0.5833, decode.d2.loss_mask: 0.6523, decode.d2.loss_dice: 0.9608, decode.d3.loss_cls: 0.5655, decode.d3.loss_mask: 0.6453, decode.d3.loss_dice: 0.9432, decode.d4.loss_cls: 0.5508, decode.d4.loss_mask: 0.6414, decode.d4.loss_dice: 0.9421, decode.d5.loss_cls: 0.5499, decode.d5.loss_mask: 0.6420, decode.d5.loss_dice: 0.9427, decode.d6.loss_cls: 0.5488, decode.d6.loss_mask: 0.6375, decode.d6.loss_dice: 0.9317, decode.d7.loss_cls: 0.5474, decode.d7.loss_mask: 0.6377, decode.d7.loss_dice: 0.9349, decode.d8.loss_cls: 0.5376, decode.d8.loss_mask: 0.6427, decode.d8.loss_dice: 0.9420, loss: 22.7389, grad_norm: 47.7620 2023-11-12 02:18:40,887 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 02:18:40,888 - mmseg - INFO - Iter [25000/160000] lr: 8.438e-05, eta: 19:12:10, time: 0.495, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5252, decode.loss_mask: 0.6336, decode.loss_dice: 0.9450, decode.d0.loss_cls: 1.5483, decode.d0.loss_mask: 0.6713, decode.d0.loss_dice: 1.0640, decode.d1.loss_cls: 0.6375, decode.d1.loss_mask: 0.6610, decode.d1.loss_dice: 1.0142, decode.d2.loss_cls: 0.5790, decode.d2.loss_mask: 0.6424, decode.d2.loss_dice: 0.9696, decode.d3.loss_cls: 0.5448, decode.d3.loss_mask: 0.6350, decode.d3.loss_dice: 0.9592, decode.d4.loss_cls: 0.5352, decode.d4.loss_mask: 0.6384, decode.d4.loss_dice: 0.9554, decode.d5.loss_cls: 0.5372, decode.d5.loss_mask: 0.6332, decode.d5.loss_dice: 0.9561, decode.d6.loss_cls: 0.5364, decode.d6.loss_mask: 0.6369, decode.d6.loss_dice: 0.9432, decode.d7.loss_cls: 0.5282, decode.d7.loss_mask: 0.6365, decode.d7.loss_dice: 0.9458, decode.d8.loss_cls: 0.5335, decode.d8.loss_mask: 0.6376, decode.d8.loss_dice: 0.9419, loss: 22.6255, grad_norm: 46.3256 2023-11-12 02:19:05,413 - mmseg - INFO - Iter [25050/160000] lr: 8.434e-05, eta: 19:11:39, time: 0.491, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5409, decode.loss_mask: 0.6513, decode.loss_dice: 0.9507, decode.d0.loss_cls: 1.5338, decode.d0.loss_mask: 0.6894, decode.d0.loss_dice: 1.0589, decode.d1.loss_cls: 0.6556, decode.d1.loss_mask: 0.6727, decode.d1.loss_dice: 1.0063, decode.d2.loss_cls: 0.5903, decode.d2.loss_mask: 0.6567, decode.d2.loss_dice: 0.9759, decode.d3.loss_cls: 0.5702, decode.d3.loss_mask: 0.6541, decode.d3.loss_dice: 0.9499, decode.d4.loss_cls: 0.5564, decode.d4.loss_mask: 0.6548, decode.d4.loss_dice: 0.9525, decode.d5.loss_cls: 0.5526, decode.d5.loss_mask: 0.6545, decode.d5.loss_dice: 0.9503, decode.d6.loss_cls: 0.5497, decode.d6.loss_mask: 0.6512, decode.d6.loss_dice: 0.9450, decode.d7.loss_cls: 0.5469, decode.d7.loss_mask: 0.6540, decode.d7.loss_dice: 0.9396, decode.d8.loss_cls: 0.5442, decode.d8.loss_mask: 0.6514, decode.d8.loss_dice: 0.9485, loss: 22.9085, grad_norm: 47.6765 2023-11-12 02:19:29,723 - mmseg - INFO - Iter [25100/160000] lr: 8.431e-05, eta: 19:11:06, time: 0.486, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5409, decode.loss_mask: 0.6430, decode.loss_dice: 0.9468, decode.d0.loss_cls: 1.5078, decode.d0.loss_mask: 0.6792, decode.d0.loss_dice: 1.0723, decode.d1.loss_cls: 0.6425, decode.d1.loss_mask: 0.6648, decode.d1.loss_dice: 1.0116, decode.d2.loss_cls: 0.5864, decode.d2.loss_mask: 0.6504, decode.d2.loss_dice: 0.9772, decode.d3.loss_cls: 0.5609, decode.d3.loss_mask: 0.6518, decode.d3.loss_dice: 0.9550, decode.d4.loss_cls: 0.5460, decode.d4.loss_mask: 0.6486, decode.d4.loss_dice: 0.9569, decode.d5.loss_cls: 0.5457, decode.d5.loss_mask: 0.6437, decode.d5.loss_dice: 0.9491, decode.d6.loss_cls: 0.5416, decode.d6.loss_mask: 0.6413, decode.d6.loss_dice: 0.9428, decode.d7.loss_cls: 0.5362, decode.d7.loss_mask: 0.6453, decode.d7.loss_dice: 0.9468, decode.d8.loss_cls: 0.5338, decode.d8.loss_mask: 0.6438, decode.d8.loss_dice: 0.9494, loss: 22.7618, grad_norm: 46.7198 2023-11-12 02:19:54,029 - mmseg - INFO - Iter [25150/160000] lr: 8.428e-05, eta: 19:10:34, time: 0.486, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5270, decode.loss_mask: 0.6516, decode.loss_dice: 0.9659, decode.d0.loss_cls: 1.5393, decode.d0.loss_mask: 0.6832, decode.d0.loss_dice: 1.0662, decode.d1.loss_cls: 0.6308, decode.d1.loss_mask: 0.6745, decode.d1.loss_dice: 1.0311, decode.d2.loss_cls: 0.5676, decode.d2.loss_mask: 0.6607, decode.d2.loss_dice: 0.9946, decode.d3.loss_cls: 0.5515, decode.d3.loss_mask: 0.6511, decode.d3.loss_dice: 0.9738, decode.d4.loss_cls: 0.5451, decode.d4.loss_mask: 0.6495, decode.d4.loss_dice: 0.9745, decode.d5.loss_cls: 0.5452, decode.d5.loss_mask: 0.6466, decode.d5.loss_dice: 0.9638, decode.d6.loss_cls: 0.5353, decode.d6.loss_mask: 0.6458, decode.d6.loss_dice: 0.9617, decode.d7.loss_cls: 0.5307, decode.d7.loss_mask: 0.6508, decode.d7.loss_dice: 0.9588, decode.d8.loss_cls: 0.5303, decode.d8.loss_mask: 0.6459, decode.d8.loss_dice: 0.9600, loss: 22.9130, grad_norm: 45.2356 2023-11-12 02:20:18,184 - mmseg - INFO - Iter [25200/160000] lr: 8.425e-05, eta: 19:10:00, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5158, decode.loss_mask: 0.6589, decode.loss_dice: 0.9524, decode.d0.loss_cls: 1.5193, decode.d0.loss_mask: 0.6904, decode.d0.loss_dice: 1.0603, decode.d1.loss_cls: 0.6129, decode.d1.loss_mask: 0.6829, decode.d1.loss_dice: 1.0178, decode.d2.loss_cls: 0.5554, decode.d2.loss_mask: 0.6629, decode.d2.loss_dice: 0.9861, decode.d3.loss_cls: 0.5388, decode.d3.loss_mask: 0.6586, decode.d3.loss_dice: 0.9656, decode.d4.loss_cls: 0.5333, decode.d4.loss_mask: 0.6602, decode.d4.loss_dice: 0.9587, decode.d5.loss_cls: 0.5193, decode.d5.loss_mask: 0.6589, decode.d5.loss_dice: 0.9585, decode.d6.loss_cls: 0.5221, decode.d6.loss_mask: 0.6562, decode.d6.loss_dice: 0.9545, decode.d7.loss_cls: 0.5186, decode.d7.loss_mask: 0.6534, decode.d7.loss_dice: 0.9525, decode.d8.loss_cls: 0.5190, decode.d8.loss_mask: 0.6571, decode.d8.loss_dice: 0.9553, loss: 22.7556, grad_norm: 46.6754 2023-11-12 02:20:42,390 - mmseg - INFO - Iter [25250/160000] lr: 8.422e-05, eta: 19:09:27, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5536, decode.loss_mask: 0.6735, decode.loss_dice: 0.9995, decode.d0.loss_cls: 1.5353, decode.d0.loss_mask: 0.7131, decode.d0.loss_dice: 1.1105, decode.d1.loss_cls: 0.6511, decode.d1.loss_mask: 0.7007, decode.d1.loss_dice: 1.0750, decode.d2.loss_cls: 0.5913, decode.d2.loss_mask: 0.6858, decode.d2.loss_dice: 1.0351, decode.d3.loss_cls: 0.5682, decode.d3.loss_mask: 0.6807, decode.d3.loss_dice: 1.0085, decode.d4.loss_cls: 0.5572, decode.d4.loss_mask: 0.6768, decode.d4.loss_dice: 1.0155, decode.d5.loss_cls: 0.5543, decode.d5.loss_mask: 0.6800, decode.d5.loss_dice: 1.0117, decode.d6.loss_cls: 0.5571, decode.d6.loss_mask: 0.6719, decode.d6.loss_dice: 1.0022, decode.d7.loss_cls: 0.5567, decode.d7.loss_mask: 0.6749, decode.d7.loss_dice: 0.9961, decode.d8.loss_cls: 0.5482, decode.d8.loss_mask: 0.6730, decode.d8.loss_dice: 1.0009, loss: 23.7582, grad_norm: 48.1300 2023-11-12 02:21:08,872 - mmseg - INFO - Iter [25300/160000] lr: 8.419e-05, eta: 19:09:06, time: 0.530, data_time: 0.058, memory: 41146, decode.loss_cls: 0.5291, decode.loss_mask: 0.6388, decode.loss_dice: 0.9470, decode.d0.loss_cls: 1.5624, decode.d0.loss_mask: 0.6626, decode.d0.loss_dice: 1.0511, decode.d1.loss_cls: 0.6308, decode.d1.loss_mask: 0.6558, decode.d1.loss_dice: 1.0088, decode.d2.loss_cls: 0.5802, decode.d2.loss_mask: 0.6453, decode.d2.loss_dice: 0.9749, decode.d3.loss_cls: 0.5464, decode.d3.loss_mask: 0.6437, decode.d3.loss_dice: 0.9479, decode.d4.loss_cls: 0.5378, decode.d4.loss_mask: 0.6445, decode.d4.loss_dice: 0.9563, decode.d5.loss_cls: 0.5258, decode.d5.loss_mask: 0.6430, decode.d5.loss_dice: 0.9530, decode.d6.loss_cls: 0.5339, decode.d6.loss_mask: 0.6392, decode.d6.loss_dice: 0.9399, decode.d7.loss_cls: 0.5326, decode.d7.loss_mask: 0.6394, decode.d7.loss_dice: 0.9448, decode.d8.loss_cls: 0.5235, decode.d8.loss_mask: 0.6418, decode.d8.loss_dice: 0.9518, loss: 22.6316, grad_norm: 47.7134 2023-11-12 02:21:33,214 - mmseg - INFO - Iter [25350/160000] lr: 8.416e-05, eta: 19:08:34, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5115, decode.loss_mask: 0.6258, decode.loss_dice: 0.9124, decode.d0.loss_cls: 1.5328, decode.d0.loss_mask: 0.6657, decode.d0.loss_dice: 1.0222, decode.d1.loss_cls: 0.6193, decode.d1.loss_mask: 0.6500, decode.d1.loss_dice: 0.9734, decode.d2.loss_cls: 0.5514, decode.d2.loss_mask: 0.6337, decode.d2.loss_dice: 0.9430, decode.d3.loss_cls: 0.5331, decode.d3.loss_mask: 0.6256, decode.d3.loss_dice: 0.9247, decode.d4.loss_cls: 0.5200, decode.d4.loss_mask: 0.6278, decode.d4.loss_dice: 0.9250, decode.d5.loss_cls: 0.5187, decode.d5.loss_mask: 0.6269, decode.d5.loss_dice: 0.9201, decode.d6.loss_cls: 0.5193, decode.d6.loss_mask: 0.6185, decode.d6.loss_dice: 0.9087, decode.d7.loss_cls: 0.5184, decode.d7.loss_mask: 0.6191, decode.d7.loss_dice: 0.9160, decode.d8.loss_cls: 0.5133, decode.d8.loss_mask: 0.6241, decode.d8.loss_dice: 0.9184, loss: 22.0191, grad_norm: 46.7024 2023-11-12 02:21:57,366 - mmseg - INFO - Iter [25400/160000] lr: 8.413e-05, eta: 19:08:01, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5292, decode.loss_mask: 0.6690, decode.loss_dice: 0.9472, decode.d0.loss_cls: 1.5441, decode.d0.loss_mask: 0.7055, decode.d0.loss_dice: 1.0535, decode.d1.loss_cls: 0.6312, decode.d1.loss_mask: 0.6963, decode.d1.loss_dice: 1.0202, decode.d2.loss_cls: 0.5805, decode.d2.loss_mask: 0.6791, decode.d2.loss_dice: 0.9786, decode.d3.loss_cls: 0.5631, decode.d3.loss_mask: 0.6722, decode.d3.loss_dice: 0.9590, decode.d4.loss_cls: 0.5434, decode.d4.loss_mask: 0.6779, decode.d4.loss_dice: 0.9515, decode.d5.loss_cls: 0.5378, decode.d5.loss_mask: 0.6738, decode.d5.loss_dice: 0.9512, decode.d6.loss_cls: 0.5333, decode.d6.loss_mask: 0.6707, decode.d6.loss_dice: 0.9445, decode.d7.loss_cls: 0.5335, decode.d7.loss_mask: 0.6739, decode.d7.loss_dice: 0.9407, decode.d8.loss_cls: 0.5307, decode.d8.loss_mask: 0.6730, decode.d8.loss_dice: 0.9434, loss: 23.0081, grad_norm: 46.6200 2023-11-12 02:22:21,682 - mmseg - INFO - Iter [25450/160000] lr: 8.409e-05, eta: 19:07:29, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5100, decode.loss_mask: 0.6472, decode.loss_dice: 0.9695, decode.d0.loss_cls: 1.5196, decode.d0.loss_mask: 0.6766, decode.d0.loss_dice: 1.0706, decode.d1.loss_cls: 0.6215, decode.d1.loss_mask: 0.6708, decode.d1.loss_dice: 1.0166, decode.d2.loss_cls: 0.5629, decode.d2.loss_mask: 0.6597, decode.d2.loss_dice: 0.9877, decode.d3.loss_cls: 0.5435, decode.d3.loss_mask: 0.6511, decode.d3.loss_dice: 0.9762, decode.d4.loss_cls: 0.5307, decode.d4.loss_mask: 0.6481, decode.d4.loss_dice: 0.9703, decode.d5.loss_cls: 0.5251, decode.d5.loss_mask: 0.6509, decode.d5.loss_dice: 0.9701, decode.d6.loss_cls: 0.5145, decode.d6.loss_mask: 0.6485, decode.d6.loss_dice: 0.9720, decode.d7.loss_cls: 0.5107, decode.d7.loss_mask: 0.6512, decode.d7.loss_dice: 0.9742, decode.d8.loss_cls: 0.5134, decode.d8.loss_mask: 0.6441, decode.d8.loss_dice: 0.9749, loss: 22.7823, grad_norm: 46.1450 2023-11-12 02:22:45,870 - mmseg - INFO - Iter [25500/160000] lr: 8.406e-05, eta: 19:06:56, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4918, decode.loss_mask: 0.6429, decode.loss_dice: 0.9465, decode.d0.loss_cls: 1.5264, decode.d0.loss_mask: 0.6758, decode.d0.loss_dice: 1.0536, decode.d1.loss_cls: 0.6033, decode.d1.loss_mask: 0.6651, decode.d1.loss_dice: 1.0137, decode.d2.loss_cls: 0.5367, decode.d2.loss_mask: 0.6461, decode.d2.loss_dice: 0.9816, decode.d3.loss_cls: 0.5148, decode.d3.loss_mask: 0.6427, decode.d3.loss_dice: 0.9561, decode.d4.loss_cls: 0.5008, decode.d4.loss_mask: 0.6444, decode.d4.loss_dice: 0.9567, decode.d5.loss_cls: 0.5044, decode.d5.loss_mask: 0.6417, decode.d5.loss_dice: 0.9581, decode.d6.loss_cls: 0.4988, decode.d6.loss_mask: 0.6417, decode.d6.loss_dice: 0.9465, decode.d7.loss_cls: 0.4971, decode.d7.loss_mask: 0.6444, decode.d7.loss_dice: 0.9525, decode.d8.loss_cls: 0.4888, decode.d8.loss_mask: 0.6432, decode.d8.loss_dice: 0.9507, loss: 22.3672, grad_norm: 49.2559 2023-11-12 02:23:10,163 - mmseg - INFO - Iter [25550/160000] lr: 8.403e-05, eta: 19:06:23, time: 0.486, data_time: 0.015, memory: 41146, decode.loss_cls: 0.5073, decode.loss_mask: 0.6009, decode.loss_dice: 0.9040, decode.d0.loss_cls: 1.5390, decode.d0.loss_mask: 0.6421, decode.d0.loss_dice: 1.0137, decode.d1.loss_cls: 0.6264, decode.d1.loss_mask: 0.6293, decode.d1.loss_dice: 0.9734, decode.d2.loss_cls: 0.5648, decode.d2.loss_mask: 0.6123, decode.d2.loss_dice: 0.9355, decode.d3.loss_cls: 0.5350, decode.d3.loss_mask: 0.6080, decode.d3.loss_dice: 0.9196, decode.d4.loss_cls: 0.5318, decode.d4.loss_mask: 0.6039, decode.d4.loss_dice: 0.9101, decode.d5.loss_cls: 0.5236, decode.d5.loss_mask: 0.6078, decode.d5.loss_dice: 0.9106, decode.d6.loss_cls: 0.5153, decode.d6.loss_mask: 0.6055, decode.d6.loss_dice: 0.9015, decode.d7.loss_cls: 0.5126, decode.d7.loss_mask: 0.6023, decode.d7.loss_dice: 0.9032, decode.d8.loss_cls: 0.5132, decode.d8.loss_mask: 0.6033, decode.d8.loss_dice: 0.9082, loss: 21.7641, grad_norm: 43.8089 2023-11-12 02:23:34,453 - mmseg - INFO - Iter [25600/160000] lr: 8.400e-05, eta: 19:05:51, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5167, decode.loss_mask: 0.6358, decode.loss_dice: 0.9027, decode.d0.loss_cls: 1.4992, decode.d0.loss_mask: 0.6751, decode.d0.loss_dice: 1.0143, decode.d1.loss_cls: 0.6075, decode.d1.loss_mask: 0.6687, decode.d1.loss_dice: 0.9706, decode.d2.loss_cls: 0.5545, decode.d2.loss_mask: 0.6454, decode.d2.loss_dice: 0.9332, decode.d3.loss_cls: 0.5321, decode.d3.loss_mask: 0.6428, decode.d3.loss_dice: 0.9136, decode.d4.loss_cls: 0.5198, decode.d4.loss_mask: 0.6430, decode.d4.loss_dice: 0.9131, decode.d5.loss_cls: 0.5150, decode.d5.loss_mask: 0.6411, decode.d5.loss_dice: 0.9146, decode.d6.loss_cls: 0.5136, decode.d6.loss_mask: 0.6409, decode.d6.loss_dice: 0.9056, decode.d7.loss_cls: 0.5119, decode.d7.loss_mask: 0.6390, decode.d7.loss_dice: 0.9139, decode.d8.loss_cls: 0.5094, decode.d8.loss_mask: 0.6378, decode.d8.loss_dice: 0.9067, loss: 22.0378, grad_norm: 44.4645 2023-11-12 02:23:58,613 - mmseg - INFO - Iter [25650/160000] lr: 8.397e-05, eta: 19:05:18, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5029, decode.loss_mask: 0.6722, decode.loss_dice: 0.9444, decode.d0.loss_cls: 1.4933, decode.d0.loss_mask: 0.7131, decode.d0.loss_dice: 1.0646, decode.d1.loss_cls: 0.5911, decode.d1.loss_mask: 0.6990, decode.d1.loss_dice: 1.0185, decode.d2.loss_cls: 0.5345, decode.d2.loss_mask: 0.6917, decode.d2.loss_dice: 0.9769, decode.d3.loss_cls: 0.5140, decode.d3.loss_mask: 0.6809, decode.d3.loss_dice: 0.9670, decode.d4.loss_cls: 0.5064, decode.d4.loss_mask: 0.6798, decode.d4.loss_dice: 0.9595, decode.d5.loss_cls: 0.5091, decode.d5.loss_mask: 0.6804, decode.d5.loss_dice: 0.9556, decode.d6.loss_cls: 0.5016, decode.d6.loss_mask: 0.6775, decode.d6.loss_dice: 0.9488, decode.d7.loss_cls: 0.5096, decode.d7.loss_mask: 0.6738, decode.d7.loss_dice: 0.9511, decode.d8.loss_cls: 0.5039, decode.d8.loss_mask: 0.6744, decode.d8.loss_dice: 0.9549, loss: 22.7506, grad_norm: 47.5152 2023-11-12 02:24:22,873 - mmseg - INFO - Iter [25700/160000] lr: 8.394e-05, eta: 19:04:46, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5159, decode.loss_mask: 0.6544, decode.loss_dice: 0.9510, decode.d0.loss_cls: 1.5408, decode.d0.loss_mask: 0.6826, decode.d0.loss_dice: 1.0660, decode.d1.loss_cls: 0.6260, decode.d1.loss_mask: 0.6801, decode.d1.loss_dice: 1.0185, decode.d2.loss_cls: 0.5717, decode.d2.loss_mask: 0.6655, decode.d2.loss_dice: 0.9880, decode.d3.loss_cls: 0.5520, decode.d3.loss_mask: 0.6575, decode.d3.loss_dice: 0.9606, decode.d4.loss_cls: 0.5418, decode.d4.loss_mask: 0.6539, decode.d4.loss_dice: 0.9625, decode.d5.loss_cls: 0.5328, decode.d5.loss_mask: 0.6578, decode.d5.loss_dice: 0.9590, decode.d6.loss_cls: 0.5303, decode.d6.loss_mask: 0.6540, decode.d6.loss_dice: 0.9521, decode.d7.loss_cls: 0.5218, decode.d7.loss_mask: 0.6540, decode.d7.loss_dice: 0.9575, decode.d8.loss_cls: 0.5167, decode.d8.loss_mask: 0.6560, decode.d8.loss_dice: 0.9506, loss: 22.8314, grad_norm: 45.5995 2023-11-12 02:24:46,996 - mmseg - INFO - Iter [25750/160000] lr: 8.391e-05, eta: 19:04:12, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5214, decode.loss_mask: 0.6325, decode.loss_dice: 0.9213, decode.d0.loss_cls: 1.5397, decode.d0.loss_mask: 0.6737, decode.d0.loss_dice: 1.0321, decode.d1.loss_cls: 0.6220, decode.d1.loss_mask: 0.6601, decode.d1.loss_dice: 0.9879, decode.d2.loss_cls: 0.5717, decode.d2.loss_mask: 0.6455, decode.d2.loss_dice: 0.9499, decode.d3.loss_cls: 0.5405, decode.d3.loss_mask: 0.6363, decode.d3.loss_dice: 0.9264, decode.d4.loss_cls: 0.5273, decode.d4.loss_mask: 0.6367, decode.d4.loss_dice: 0.9311, decode.d5.loss_cls: 0.5297, decode.d5.loss_mask: 0.6352, decode.d5.loss_dice: 0.9318, decode.d6.loss_cls: 0.5249, decode.d6.loss_mask: 0.6327, decode.d6.loss_dice: 0.9266, decode.d7.loss_cls: 0.5202, decode.d7.loss_mask: 0.6344, decode.d7.loss_dice: 0.9278, decode.d8.loss_cls: 0.5231, decode.d8.loss_mask: 0.6352, decode.d8.loss_dice: 0.9264, loss: 22.3042, grad_norm: 48.6409 2023-11-12 02:25:11,490 - mmseg - INFO - Iter [25800/160000] lr: 8.388e-05, eta: 19:03:41, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5000, decode.loss_mask: 0.6537, decode.loss_dice: 0.9448, decode.d0.loss_cls: 1.5360, decode.d0.loss_mask: 0.6800, decode.d0.loss_dice: 1.0358, decode.d1.loss_cls: 0.6151, decode.d1.loss_mask: 0.6775, decode.d1.loss_dice: 1.0034, decode.d2.loss_cls: 0.5532, decode.d2.loss_mask: 0.6607, decode.d2.loss_dice: 0.9674, decode.d3.loss_cls: 0.5344, decode.d3.loss_mask: 0.6491, decode.d3.loss_dice: 0.9534, decode.d4.loss_cls: 0.5184, decode.d4.loss_mask: 0.6522, decode.d4.loss_dice: 0.9527, decode.d5.loss_cls: 0.5225, decode.d5.loss_mask: 0.6496, decode.d5.loss_dice: 0.9447, decode.d6.loss_cls: 0.5120, decode.d6.loss_mask: 0.6461, decode.d6.loss_dice: 0.9400, decode.d7.loss_cls: 0.5076, decode.d7.loss_mask: 0.6468, decode.d7.loss_dice: 0.9411, decode.d8.loss_cls: 0.5022, decode.d8.loss_mask: 0.6501, decode.d8.loss_dice: 0.9415, loss: 22.4918, grad_norm: 46.6334 2023-11-12 02:25:36,009 - mmseg - INFO - Iter [25850/160000] lr: 8.384e-05, eta: 19:03:10, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5016, decode.loss_mask: 0.6493, decode.loss_dice: 0.9573, decode.d0.loss_cls: 1.5032, decode.d0.loss_mask: 0.6804, decode.d0.loss_dice: 1.0515, decode.d1.loss_cls: 0.5897, decode.d1.loss_mask: 0.6769, decode.d1.loss_dice: 1.0244, decode.d2.loss_cls: 0.5349, decode.d2.loss_mask: 0.6578, decode.d2.loss_dice: 0.9964, decode.d3.loss_cls: 0.5148, decode.d3.loss_mask: 0.6524, decode.d3.loss_dice: 0.9646, decode.d4.loss_cls: 0.5026, decode.d4.loss_mask: 0.6526, decode.d4.loss_dice: 0.9631, decode.d5.loss_cls: 0.5099, decode.d5.loss_mask: 0.6527, decode.d5.loss_dice: 0.9629, decode.d6.loss_cls: 0.5008, decode.d6.loss_mask: 0.6513, decode.d6.loss_dice: 0.9604, decode.d7.loss_cls: 0.5003, decode.d7.loss_mask: 0.6504, decode.d7.loss_dice: 0.9601, decode.d8.loss_cls: 0.4974, decode.d8.loss_mask: 0.6533, decode.d8.loss_dice: 0.9566, loss: 22.5296, grad_norm: 45.3501 2023-11-12 02:26:00,192 - mmseg - INFO - Iter [25900/160000] lr: 8.381e-05, eta: 19:02:37, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5090, decode.loss_mask: 0.6669, decode.loss_dice: 0.9417, decode.d0.loss_cls: 1.4990, decode.d0.loss_mask: 0.7029, decode.d0.loss_dice: 1.0506, decode.d1.loss_cls: 0.6039, decode.d1.loss_mask: 0.6812, decode.d1.loss_dice: 1.0077, decode.d2.loss_cls: 0.5487, decode.d2.loss_mask: 0.6733, decode.d2.loss_dice: 0.9621, decode.d3.loss_cls: 0.5268, decode.d3.loss_mask: 0.6694, decode.d3.loss_dice: 0.9460, decode.d4.loss_cls: 0.5175, decode.d4.loss_mask: 0.6675, decode.d4.loss_dice: 0.9472, decode.d5.loss_cls: 0.5104, decode.d5.loss_mask: 0.6690, decode.d5.loss_dice: 0.9416, decode.d6.loss_cls: 0.5127, decode.d6.loss_mask: 0.6658, decode.d6.loss_dice: 0.9356, decode.d7.loss_cls: 0.5117, decode.d7.loss_mask: 0.6646, decode.d7.loss_dice: 0.9391, decode.d8.loss_cls: 0.5064, decode.d8.loss_mask: 0.6683, decode.d8.loss_dice: 0.9486, loss: 22.5955, grad_norm: 53.1591 2023-11-12 02:26:24,417 - mmseg - INFO - Iter [25950/160000] lr: 8.378e-05, eta: 19:02:05, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5145, decode.loss_mask: 0.6516, decode.loss_dice: 0.9573, decode.d0.loss_cls: 1.5013, decode.d0.loss_mask: 0.6919, decode.d0.loss_dice: 1.0591, decode.d1.loss_cls: 0.6259, decode.d1.loss_mask: 0.6715, decode.d1.loss_dice: 1.0210, decode.d2.loss_cls: 0.5650, decode.d2.loss_mask: 0.6577, decode.d2.loss_dice: 0.9737, decode.d3.loss_cls: 0.5356, decode.d3.loss_mask: 0.6545, decode.d3.loss_dice: 0.9649, decode.d4.loss_cls: 0.5312, decode.d4.loss_mask: 0.6526, decode.d4.loss_dice: 0.9654, decode.d5.loss_cls: 0.5224, decode.d5.loss_mask: 0.6520, decode.d5.loss_dice: 0.9597, decode.d6.loss_cls: 0.5173, decode.d6.loss_mask: 0.6551, decode.d6.loss_dice: 0.9582, decode.d7.loss_cls: 0.5126, decode.d7.loss_mask: 0.6542, decode.d7.loss_dice: 0.9644, decode.d8.loss_cls: 0.5113, decode.d8.loss_mask: 0.6536, decode.d8.loss_dice: 0.9686, loss: 22.7237, grad_norm: 46.2709 2023-11-12 02:26:48,544 - mmseg - INFO - Saving checkpoint at 26000 iterations 2023-11-12 02:26:52,438 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 02:26:52,438 - mmseg - INFO - Iter [26000/160000] lr: 8.375e-05, eta: 19:01:52, time: 0.560, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5247, decode.loss_mask: 0.6347, decode.loss_dice: 0.9243, decode.d0.loss_cls: 1.5166, decode.d0.loss_mask: 0.6799, decode.d0.loss_dice: 1.0330, decode.d1.loss_cls: 0.6312, decode.d1.loss_mask: 0.6653, decode.d1.loss_dice: 0.9940, decode.d2.loss_cls: 0.5658, decode.d2.loss_mask: 0.6463, decode.d2.loss_dice: 0.9533, decode.d3.loss_cls: 0.5479, decode.d3.loss_mask: 0.6403, decode.d3.loss_dice: 0.9359, decode.d4.loss_cls: 0.5320, decode.d4.loss_mask: 0.6402, decode.d4.loss_dice: 0.9359, decode.d5.loss_cls: 0.5290, decode.d5.loss_mask: 0.6361, decode.d5.loss_dice: 0.9363, decode.d6.loss_cls: 0.5248, decode.d6.loss_mask: 0.6387, decode.d6.loss_dice: 0.9321, decode.d7.loss_cls: 0.5228, decode.d7.loss_mask: 0.6407, decode.d7.loss_dice: 0.9314, decode.d8.loss_cls: 0.5243, decode.d8.loss_mask: 0.6398, decode.d8.loss_dice: 0.9290, loss: 22.3862, grad_norm: 47.2078 2023-11-12 02:27:15,435 - mmseg - INFO - per class results: 2023-11-12 02:27:15,440 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.4 | 88.17 | | building | 83.01 | 92.51 | | sky | 94.8 | 97.28 | | floor | 82.83 | 89.71 | | tree | 76.1 | 85.52 | | ceiling | 85.74 | 92.92 | | road | 82.41 | 90.92 | | bed | 89.69 | 94.56 | | windowpane | 64.01 | 77.66 | | grass | 70.42 | 78.61 | | cabinet | 61.78 | 75.05 | | sidewalk | 64.7 | 82.16 | | person | 85.03 | 92.84 | | earth | 37.98 | 60.09 | | door | 51.65 | 68.33 | | table | 60.3 | 71.35 | | mountain | 63.23 | 74.2 | | plant | 56.19 | 71.53 | | curtain | 77.79 | 88.12 | | chair | 58.09 | 68.46 | | car | 86.46 | 92.6 | | water | 56.77 | 73.67 | | painting | 72.38 | 87.01 | | sofa | 70.35 | 90.04 | | shelf | 42.26 | 59.69 | | house | 41.38 | 46.82 | | sea | 69.25 | 87.38 | | mirror | 69.71 | 81.96 | | rug | 67.59 | 80.44 | | field | 34.24 | 46.62 | | armchair | 39.26 | 52.52 | | seat | 62.95 | 84.13 | | fence | 39.38 | 65.61 | | desk | 44.97 | 71.03 | | rock | 55.51 | 80.27 | | wardrobe | 44.93 | 63.71 | | lamp | 68.15 | 79.35 | | bathtub | 76.95 | 83.05 | | railing | 29.83 | 55.35 | | cushion | 59.33 | 82.28 | | base | 22.45 | 57.61 | | box | 25.31 | 37.4 | | column | 46.27 | 61.82 | | signboard | 39.78 | 61.94 | | chest of drawers | 42.24 | 57.49 | | counter | 43.74 | 66.29 | | sand | 37.69 | 54.1 | | sink | 75.16 | 83.02 | | skyscraper | 35.71 | 38.2 | | fireplace | 77.59 | 90.38 | | refrigerator | 78.32 | 89.21 | | grandstand | 55.87 | 71.26 | | path | 14.9 | 19.63 | | stairs | 28.52 | 43.5 | | runway | 59.3 | 69.03 | | case | 59.6 | 71.92 | | pool table | 94.67 | 96.54 | | pillow | 48.93 | 56.76 | | screen door | 69.46 | 85.52 | | stairway | 26.44 | 47.76 | | river | 19.03 | 29.74 | | bridge | 67.1 | 87.99 | | bookcase | 34.48 | 49.32 | | blind | 46.76 | 56.68 | | coffee table | 65.15 | 83.94 | | toilet | 87.8 | 90.66 | | flower | 40.52 | 50.11 | | book | 48.27 | 72.18 | | hill | 6.91 | 14.05 | | bench | 49.41 | 71.46 | | countertop | 58.9 | 74.42 | | stove | 82.66 | 85.63 | | palm | 57.03 | 76.94 | | kitchen island | 38.4 | 78.26 | | computer | 70.55 | 77.81 | | swivel chair | 40.07 | 68.6 | | boat | 50.3 | 56.59 | | bar | 52.27 | 58.08 | | arcade machine | 34.69 | 36.35 | | hovel | 36.79 | 39.2 | | bus | 90.05 | 96.33 | | towel | 67.25 | 85.35 | | light | 59.01 | 74.78 | | truck | 37.85 | 61.39 | | tower | 3.6 | 4.63 | | chandelier | 67.0 | 78.63 | | awning | 36.93 | 48.13 | | streetlight | 38.39 | 63.27 | | booth | 30.51 | 42.87 | | television receiver | 71.63 | 80.62 | | airplane | 58.94 | 71.93 | | dirt track | 4.36 | 12.41 | | apparel | 28.06 | 45.74 | | pole | 26.61 | 42.76 | | land | 3.47 | 4.28 | | bannister | 14.75 | 23.27 | | escalator | 31.46 | 43.55 | | ottoman | 53.37 | 78.47 | | bottle | 29.01 | 36.56 | | buffet | 40.62 | 45.9 | | poster | 19.02 | 40.81 | | stage | 19.8 | 30.17 | | van | 44.74 | 59.85 | | ship | 11.65 | 16.59 | | fountain | 23.02 | 24.9 | | conveyer belt | 38.45 | 93.73 | | canopy | 15.33 | 20.17 | | washer | 48.14 | 75.07 | | plaything | 40.2 | 57.57 | | swimming pool | 31.17 | 60.77 | | stool | 46.37 | 74.15 | | barrel | 11.75 | 76.77 | | basket | 39.71 | 51.23 | | waterfall | 45.05 | 60.44 | | tent | 95.87 | 98.32 | | bag | 18.91 | 31.89 | | minibike | 72.03 | 92.77 | | cradle | 84.96 | 97.86 | | oven | 49.55 | 67.7 | | ball | 49.28 | 63.18 | | food | 55.75 | 66.42 | | step | 14.27 | 31.16 | | tank | 47.33 | 65.2 | | trade name | 33.09 | 41.26 | | microwave | 48.95 | 54.18 | | pot | 46.64 | 57.65 | | animal | 64.59 | 65.8 | | bicycle | 62.65 | 82.9 | | lake | 0.0 | 0.0 | | dishwasher | 75.51 | 82.75 | | screen | 61.17 | 88.25 | | blanket | 37.96 | 49.4 | | sculpture | 67.89 | 85.92 | | hood | 70.06 | 83.75 | | sconce | 51.08 | 66.78 | | vase | 55.37 | 67.4 | | traffic light | 43.0 | 68.03 | | tray | 13.23 | 22.14 | | ashcan | 45.77 | 67.8 | | fan | 64.78 | 79.01 | | pier | 25.75 | 28.45 | | crt screen | 4.47 | 11.03 | | plate | 67.77 | 81.84 | | monitor | 10.11 | 13.93 | | bulletin board | 36.38 | 45.48 | | shower | 13.01 | 23.9 | | radiator | 67.18 | 76.68 | | glass | 22.16 | 24.67 | | clock | 46.34 | 57.76 | | flag | 49.4 | 53.89 | +---------------------+-------+-------+ 2023-11-12 02:27:15,440 - mmseg - INFO - Summary: 2023-11-12 02:27:15,440 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 83.55 | 49.5 | 63.33 | +-------+------+-------+ 2023-11-12 02:27:15,534 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_20000.pth was removed 2023-11-12 02:27:18,931 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_26000.pth. 2023-11-12 02:27:18,932 - mmseg - INFO - Best mIoU is 0.4950 at 26000 iter. 2023-11-12 02:27:18,932 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 02:27:18,932 - mmseg - INFO - Iter(val) [250] aAcc: 0.8355, mIoU: 0.4950, mAcc: 0.6333, IoU.wall: 0.7940, IoU.building: 0.8301, IoU.sky: 0.9480, IoU.floor: 0.8283, IoU.tree: 0.7610, IoU.ceiling: 0.8574, IoU.road: 0.8241, IoU.bed : 0.8969, IoU.windowpane: 0.6401, IoU.grass: 0.7042, IoU.cabinet: 0.6178, IoU.sidewalk: 0.6470, IoU.person: 0.8503, IoU.earth: 0.3798, IoU.door: 0.5165, IoU.table: 0.6030, IoU.mountain: 0.6323, IoU.plant: 0.5619, IoU.curtain: 0.7779, IoU.chair: 0.5809, IoU.car: 0.8646, IoU.water: 0.5677, IoU.painting: 0.7238, IoU.sofa: 0.7035, IoU.shelf: 0.4226, IoU.house: 0.4138, IoU.sea: 0.6925, IoU.mirror: 0.6971, IoU.rug: 0.6759, IoU.field: 0.3424, IoU.armchair: 0.3926, IoU.seat: 0.6295, IoU.fence: 0.3938, IoU.desk: 0.4497, IoU.rock: 0.5551, IoU.wardrobe: 0.4493, IoU.lamp: 0.6815, IoU.bathtub: 0.7695, IoU.railing: 0.2983, IoU.cushion: 0.5933, IoU.base: 0.2245, IoU.box: 0.2531, IoU.column: 0.4627, IoU.signboard: 0.3978, IoU.chest of drawers: 0.4224, IoU.counter: 0.4374, IoU.sand: 0.3769, IoU.sink: 0.7516, IoU.skyscraper: 0.3571, IoU.fireplace: 0.7759, IoU.refrigerator: 0.7832, IoU.grandstand: 0.5587, IoU.path: 0.1490, IoU.stairs: 0.2852, IoU.runway: 0.5930, IoU.case: 0.5960, IoU.pool table: 0.9467, IoU.pillow: 0.4893, IoU.screen door: 0.6946, IoU.stairway: 0.2644, IoU.river: 0.1903, IoU.bridge: 0.6710, IoU.bookcase: 0.3448, IoU.blind: 0.4676, IoU.coffee table: 0.6515, IoU.toilet: 0.8780, IoU.flower: 0.4052, IoU.book: 0.4827, IoU.hill: 0.0691, IoU.bench: 0.4941, IoU.countertop: 0.5890, IoU.stove: 0.8266, IoU.palm: 0.5703, IoU.kitchen island: 0.3840, IoU.computer: 0.7055, IoU.swivel chair: 0.4007, IoU.boat: 0.5030, IoU.bar: 0.5227, IoU.arcade machine: 0.3469, IoU.hovel: 0.3679, IoU.bus: 0.9005, IoU.towel: 0.6725, IoU.light: 0.5901, IoU.truck: 0.3785, IoU.tower: 0.0360, IoU.chandelier: 0.6700, IoU.awning: 0.3693, IoU.streetlight: 0.3839, IoU.booth: 0.3051, IoU.television receiver: 0.7163, IoU.airplane: 0.5894, IoU.dirt track: 0.0436, IoU.apparel: 0.2806, IoU.pole: 0.2661, IoU.land: 0.0347, IoU.bannister: 0.1475, IoU.escalator: 0.3146, IoU.ottoman: 0.5337, IoU.bottle: 0.2901, IoU.buffet: 0.4062, IoU.poster: 0.1902, IoU.stage: 0.1980, IoU.van: 0.4474, IoU.ship: 0.1165, IoU.fountain: 0.2302, IoU.conveyer belt: 0.3845, IoU.canopy: 0.1533, IoU.washer: 0.4814, IoU.plaything: 0.4020, IoU.swimming pool: 0.3117, IoU.stool: 0.4637, IoU.barrel: 0.1175, IoU.basket: 0.3971, IoU.waterfall: 0.4505, IoU.tent: 0.9587, IoU.bag: 0.1891, IoU.minibike: 0.7203, IoU.cradle: 0.8496, IoU.oven: 0.4955, IoU.ball: 0.4928, IoU.food: 0.5575, IoU.step: 0.1427, IoU.tank: 0.4733, IoU.trade name: 0.3309, IoU.microwave: 0.4895, IoU.pot: 0.4664, IoU.animal: 0.6459, IoU.bicycle: 0.6265, IoU.lake: 0.0000, IoU.dishwasher: 0.7551, IoU.screen: 0.6117, IoU.blanket: 0.3796, IoU.sculpture: 0.6789, IoU.hood: 0.7006, IoU.sconce: 0.5108, IoU.vase: 0.5537, IoU.traffic light: 0.4300, IoU.tray: 0.1323, IoU.ashcan: 0.4577, IoU.fan: 0.6478, IoU.pier: 0.2575, IoU.crt screen: 0.0447, IoU.plate: 0.6777, IoU.monitor: 0.1011, IoU.bulletin board: 0.3638, IoU.shower: 0.1301, IoU.radiator: 0.6718, IoU.glass: 0.2216, IoU.clock: 0.4634, IoU.flag: 0.4940, Acc.wall: 0.8817, Acc.building: 0.9251, Acc.sky: 0.9728, Acc.floor: 0.8971, Acc.tree: 0.8552, Acc.ceiling: 0.9292, Acc.road: 0.9092, Acc.bed : 0.9456, Acc.windowpane: 0.7766, Acc.grass: 0.7861, Acc.cabinet: 0.7505, Acc.sidewalk: 0.8216, Acc.person: 0.9284, Acc.earth: 0.6009, Acc.door: 0.6833, Acc.table: 0.7135, Acc.mountain: 0.7420, Acc.plant: 0.7153, Acc.curtain: 0.8812, Acc.chair: 0.6846, Acc.car: 0.9260, Acc.water: 0.7367, Acc.painting: 0.8701, Acc.sofa: 0.9004, Acc.shelf: 0.5969, Acc.house: 0.4682, Acc.sea: 0.8738, Acc.mirror: 0.8196, Acc.rug: 0.8044, Acc.field: 0.4662, Acc.armchair: 0.5252, Acc.seat: 0.8413, Acc.fence: 0.6561, Acc.desk: 0.7103, Acc.rock: 0.8027, Acc.wardrobe: 0.6371, Acc.lamp: 0.7935, Acc.bathtub: 0.8305, Acc.railing: 0.5535, Acc.cushion: 0.8228, Acc.base: 0.5761, Acc.box: 0.3740, Acc.column: 0.6182, Acc.signboard: 0.6194, Acc.chest of drawers: 0.5749, Acc.counter: 0.6629, Acc.sand: 0.5410, Acc.sink: 0.8302, Acc.skyscraper: 0.3820, Acc.fireplace: 0.9038, Acc.refrigerator: 0.8921, Acc.grandstand: 0.7126, Acc.path: 0.1963, Acc.stairs: 0.4350, Acc.runway: 0.6903, Acc.case: 0.7192, Acc.pool table: 0.9654, Acc.pillow: 0.5676, Acc.screen door: 0.8552, Acc.stairway: 0.4776, Acc.river: 0.2974, Acc.bridge: 0.8799, Acc.bookcase: 0.4932, Acc.blind: 0.5668, Acc.coffee table: 0.8394, Acc.toilet: 0.9066, Acc.flower: 0.5011, Acc.book: 0.7218, Acc.hill: 0.1405, Acc.bench: 0.7146, Acc.countertop: 0.7442, Acc.stove: 0.8563, Acc.palm: 0.7694, Acc.kitchen island: 0.7826, Acc.computer: 0.7781, Acc.swivel chair: 0.6860, Acc.boat: 0.5659, Acc.bar: 0.5808, Acc.arcade machine: 0.3635, Acc.hovel: 0.3920, Acc.bus: 0.9633, Acc.towel: 0.8535, Acc.light: 0.7478, Acc.truck: 0.6139, Acc.tower: 0.0463, Acc.chandelier: 0.7863, Acc.awning: 0.4813, Acc.streetlight: 0.6327, Acc.booth: 0.4287, Acc.television receiver: 0.8062, Acc.airplane: 0.7193, Acc.dirt track: 0.1241, Acc.apparel: 0.4574, Acc.pole: 0.4276, Acc.land: 0.0428, Acc.bannister: 0.2327, Acc.escalator: 0.4355, Acc.ottoman: 0.7847, Acc.bottle: 0.3656, Acc.buffet: 0.4590, Acc.poster: 0.4081, Acc.stage: 0.3017, Acc.van: 0.5985, Acc.ship: 0.1659, Acc.fountain: 0.2490, Acc.conveyer belt: 0.9373, Acc.canopy: 0.2017, Acc.washer: 0.7507, Acc.plaything: 0.5757, Acc.swimming pool: 0.6077, Acc.stool: 0.7415, Acc.barrel: 0.7677, Acc.basket: 0.5123, Acc.waterfall: 0.6044, Acc.tent: 0.9832, Acc.bag: 0.3189, Acc.minibike: 0.9277, Acc.cradle: 0.9786, Acc.oven: 0.6770, Acc.ball: 0.6318, Acc.food: 0.6642, Acc.step: 0.3116, Acc.tank: 0.6520, Acc.trade name: 0.4126, Acc.microwave: 0.5418, Acc.pot: 0.5765, Acc.animal: 0.6580, Acc.bicycle: 0.8290, Acc.lake: 0.0000, Acc.dishwasher: 0.8275, Acc.screen: 0.8825, Acc.blanket: 0.4940, Acc.sculpture: 0.8592, Acc.hood: 0.8375, Acc.sconce: 0.6678, Acc.vase: 0.6740, Acc.traffic light: 0.6803, Acc.tray: 0.2214, Acc.ashcan: 0.6780, Acc.fan: 0.7901, Acc.pier: 0.2845, Acc.crt screen: 0.1103, Acc.plate: 0.8184, Acc.monitor: 0.1393, Acc.bulletin board: 0.4548, Acc.shower: 0.2390, Acc.radiator: 0.7668, Acc.glass: 0.2467, Acc.clock: 0.5776, Acc.flag: 0.5389 2023-11-12 02:27:43,112 - mmseg - INFO - Iter [26050/160000] lr: 8.372e-05, eta: 19:03:36, time: 1.013, data_time: 0.543, memory: 41146, decode.loss_cls: 0.5014, decode.loss_mask: 0.6549, decode.loss_dice: 0.9471, decode.d0.loss_cls: 1.4990, decode.d0.loss_mask: 0.6943, decode.d0.loss_dice: 1.0539, decode.d1.loss_cls: 0.6115, decode.d1.loss_mask: 0.6783, decode.d1.loss_dice: 1.0101, decode.d2.loss_cls: 0.5453, decode.d2.loss_mask: 0.6616, decode.d2.loss_dice: 0.9816, decode.d3.loss_cls: 0.5256, decode.d3.loss_mask: 0.6580, decode.d3.loss_dice: 0.9556, decode.d4.loss_cls: 0.5262, decode.d4.loss_mask: 0.6564, decode.d4.loss_dice: 0.9536, decode.d5.loss_cls: 0.5105, decode.d5.loss_mask: 0.6574, decode.d5.loss_dice: 0.9490, decode.d6.loss_cls: 0.5041, decode.d6.loss_mask: 0.6525, decode.d6.loss_dice: 0.9458, decode.d7.loss_cls: 0.5031, decode.d7.loss_mask: 0.6540, decode.d7.loss_dice: 0.9477, decode.d8.loss_cls: 0.5045, decode.d8.loss_mask: 0.6534, decode.d8.loss_dice: 0.9515, loss: 22.5479, grad_norm: 48.3264 2023-11-12 02:28:07,473 - mmseg - INFO - Iter [26100/160000] lr: 8.369e-05, eta: 19:03:04, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5182, decode.loss_mask: 0.6308, decode.loss_dice: 0.9433, decode.d0.loss_cls: 1.5248, decode.d0.loss_mask: 0.6681, decode.d0.loss_dice: 1.0522, decode.d1.loss_cls: 0.6215, decode.d1.loss_mask: 0.6537, decode.d1.loss_dice: 1.0107, decode.d2.loss_cls: 0.5643, decode.d2.loss_mask: 0.6444, decode.d2.loss_dice: 0.9749, decode.d3.loss_cls: 0.5410, decode.d3.loss_mask: 0.6365, decode.d3.loss_dice: 0.9523, decode.d4.loss_cls: 0.5288, decode.d4.loss_mask: 0.6340, decode.d4.loss_dice: 0.9491, decode.d5.loss_cls: 0.5279, decode.d5.loss_mask: 0.6355, decode.d5.loss_dice: 0.9519, decode.d6.loss_cls: 0.5189, decode.d6.loss_mask: 0.6297, decode.d6.loss_dice: 0.9464, decode.d7.loss_cls: 0.5107, decode.d7.loss_mask: 0.6296, decode.d7.loss_dice: 0.9477, decode.d8.loss_cls: 0.5165, decode.d8.loss_mask: 0.6327, decode.d8.loss_dice: 0.9460, loss: 22.4421, grad_norm: 46.8512 2023-11-12 02:28:31,677 - mmseg - INFO - Iter [26150/160000] lr: 8.366e-05, eta: 19:02:31, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5107, decode.loss_mask: 0.6372, decode.loss_dice: 0.9445, decode.d0.loss_cls: 1.5252, decode.d0.loss_mask: 0.6728, decode.d0.loss_dice: 1.0587, decode.d1.loss_cls: 0.6241, decode.d1.loss_mask: 0.6642, decode.d1.loss_dice: 1.0110, decode.d2.loss_cls: 0.5530, decode.d2.loss_mask: 0.6482, decode.d2.loss_dice: 0.9759, decode.d3.loss_cls: 0.5332, decode.d3.loss_mask: 0.6391, decode.d3.loss_dice: 0.9551, decode.d4.loss_cls: 0.5217, decode.d4.loss_mask: 0.6449, decode.d4.loss_dice: 0.9566, decode.d5.loss_cls: 0.5250, decode.d5.loss_mask: 0.6381, decode.d5.loss_dice: 0.9467, decode.d6.loss_cls: 0.5165, decode.d6.loss_mask: 0.6361, decode.d6.loss_dice: 0.9422, decode.d7.loss_cls: 0.5183, decode.d7.loss_mask: 0.6370, decode.d7.loss_dice: 0.9444, decode.d8.loss_cls: 0.5139, decode.d8.loss_mask: 0.6339, decode.d8.loss_dice: 0.9430, loss: 22.4713, grad_norm: 44.8179 2023-11-12 02:28:56,106 - mmseg - INFO - Iter [26200/160000] lr: 8.363e-05, eta: 19:01:59, time: 0.489, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5232, decode.loss_mask: 0.6482, decode.loss_dice: 0.9579, decode.d0.loss_cls: 1.5257, decode.d0.loss_mask: 0.6831, decode.d0.loss_dice: 1.0673, decode.d1.loss_cls: 0.6219, decode.d1.loss_mask: 0.6741, decode.d1.loss_dice: 1.0209, decode.d2.loss_cls: 0.5635, decode.d2.loss_mask: 0.6596, decode.d2.loss_dice: 0.9851, decode.d3.loss_cls: 0.5407, decode.d3.loss_mask: 0.6512, decode.d3.loss_dice: 0.9666, decode.d4.loss_cls: 0.5346, decode.d4.loss_mask: 0.6498, decode.d4.loss_dice: 0.9702, decode.d5.loss_cls: 0.5228, decode.d5.loss_mask: 0.6495, decode.d5.loss_dice: 0.9627, decode.d6.loss_cls: 0.5287, decode.d6.loss_mask: 0.6507, decode.d6.loss_dice: 0.9524, decode.d7.loss_cls: 0.5250, decode.d7.loss_mask: 0.6478, decode.d7.loss_dice: 0.9583, decode.d8.loss_cls: 0.5268, decode.d8.loss_mask: 0.6520, decode.d8.loss_dice: 0.9558, loss: 22.7762, grad_norm: 44.0200 2023-11-12 02:29:20,491 - mmseg - INFO - Iter [26250/160000] lr: 8.359e-05, eta: 19:01:27, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4917, decode.loss_mask: 0.6585, decode.loss_dice: 0.9474, decode.d0.loss_cls: 1.5097, decode.d0.loss_mask: 0.7003, decode.d0.loss_dice: 1.0521, decode.d1.loss_cls: 0.5950, decode.d1.loss_mask: 0.6798, decode.d1.loss_dice: 0.9933, decode.d2.loss_cls: 0.5410, decode.d2.loss_mask: 0.6682, decode.d2.loss_dice: 0.9605, decode.d3.loss_cls: 0.5151, decode.d3.loss_mask: 0.6617, decode.d3.loss_dice: 0.9519, decode.d4.loss_cls: 0.5079, decode.d4.loss_mask: 0.6635, decode.d4.loss_dice: 0.9480, decode.d5.loss_cls: 0.5087, decode.d5.loss_mask: 0.6596, decode.d5.loss_dice: 0.9498, decode.d6.loss_cls: 0.5000, decode.d6.loss_mask: 0.6591, decode.d6.loss_dice: 0.9426, decode.d7.loss_cls: 0.4978, decode.d7.loss_mask: 0.6616, decode.d7.loss_dice: 0.9463, decode.d8.loss_cls: 0.4946, decode.d8.loss_mask: 0.6605, decode.d8.loss_dice: 0.9422, loss: 22.4684, grad_norm: 46.4322 2023-11-12 02:29:44,513 - mmseg - INFO - Iter [26300/160000] lr: 8.356e-05, eta: 19:00:54, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5253, decode.loss_mask: 0.6691, decode.loss_dice: 0.9754, decode.d0.loss_cls: 1.5369, decode.d0.loss_mask: 0.6998, decode.d0.loss_dice: 1.0800, decode.d1.loss_cls: 0.6349, decode.d1.loss_mask: 0.6911, decode.d1.loss_dice: 1.0351, decode.d2.loss_cls: 0.5697, decode.d2.loss_mask: 0.6801, decode.d2.loss_dice: 1.0020, decode.d3.loss_cls: 0.5453, decode.d3.loss_mask: 0.6769, decode.d3.loss_dice: 0.9873, decode.d4.loss_cls: 0.5303, decode.d4.loss_mask: 0.6732, decode.d4.loss_dice: 0.9903, decode.d5.loss_cls: 0.5235, decode.d5.loss_mask: 0.6738, decode.d5.loss_dice: 0.9844, decode.d6.loss_cls: 0.5254, decode.d6.loss_mask: 0.6682, decode.d6.loss_dice: 0.9723, decode.d7.loss_cls: 0.5266, decode.d7.loss_mask: 0.6693, decode.d7.loss_dice: 0.9790, decode.d8.loss_cls: 0.5284, decode.d8.loss_mask: 0.6703, decode.d8.loss_dice: 0.9813, loss: 23.2054, grad_norm: 49.0787 2023-11-12 02:30:08,744 - mmseg - INFO - Iter [26350/160000] lr: 8.353e-05, eta: 19:00:21, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4907, decode.loss_mask: 0.6435, decode.loss_dice: 0.9257, decode.d0.loss_cls: 1.5182, decode.d0.loss_mask: 0.6790, decode.d0.loss_dice: 1.0328, decode.d1.loss_cls: 0.6036, decode.d1.loss_mask: 0.6639, decode.d1.loss_dice: 0.9869, decode.d2.loss_cls: 0.5466, decode.d2.loss_mask: 0.6506, decode.d2.loss_dice: 0.9505, decode.d3.loss_cls: 0.5195, decode.d3.loss_mask: 0.6475, decode.d3.loss_dice: 0.9309, decode.d4.loss_cls: 0.5134, decode.d4.loss_mask: 0.6432, decode.d4.loss_dice: 0.9321, decode.d5.loss_cls: 0.5092, decode.d5.loss_mask: 0.6469, decode.d5.loss_dice: 0.9335, decode.d6.loss_cls: 0.4981, decode.d6.loss_mask: 0.6431, decode.d6.loss_dice: 0.9260, decode.d7.loss_cls: 0.4980, decode.d7.loss_mask: 0.6456, decode.d7.loss_dice: 0.9325, decode.d8.loss_cls: 0.4984, decode.d8.loss_mask: 0.6407, decode.d8.loss_dice: 0.9300, loss: 22.1803, grad_norm: 45.8077 2023-11-12 02:30:32,908 - mmseg - INFO - Iter [26400/160000] lr: 8.350e-05, eta: 18:59:48, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5387, decode.loss_mask: 0.6645, decode.loss_dice: 0.9302, decode.d0.loss_cls: 1.5305, decode.d0.loss_mask: 0.6972, decode.d0.loss_dice: 1.0392, decode.d1.loss_cls: 0.6408, decode.d1.loss_mask: 0.6924, decode.d1.loss_dice: 0.9937, decode.d2.loss_cls: 0.5819, decode.d2.loss_mask: 0.6734, decode.d2.loss_dice: 0.9620, decode.d3.loss_cls: 0.5612, decode.d3.loss_mask: 0.6658, decode.d3.loss_dice: 0.9426, decode.d4.loss_cls: 0.5601, decode.d4.loss_mask: 0.6648, decode.d4.loss_dice: 0.9340, decode.d5.loss_cls: 0.5441, decode.d5.loss_mask: 0.6655, decode.d5.loss_dice: 0.9380, decode.d6.loss_cls: 0.5419, decode.d6.loss_mask: 0.6622, decode.d6.loss_dice: 0.9291, decode.d7.loss_cls: 0.5440, decode.d7.loss_mask: 0.6599, decode.d7.loss_dice: 0.9319, decode.d8.loss_cls: 0.5367, decode.d8.loss_mask: 0.6648, decode.d8.loss_dice: 0.9333, loss: 22.8245, grad_norm: 48.4607 2023-11-12 02:30:57,097 - mmseg - INFO - Iter [26450/160000] lr: 8.347e-05, eta: 18:59:16, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5253, decode.loss_mask: 0.6277, decode.loss_dice: 0.9530, decode.d0.loss_cls: 1.5263, decode.d0.loss_mask: 0.6632, decode.d0.loss_dice: 1.0669, decode.d1.loss_cls: 0.6199, decode.d1.loss_mask: 0.6571, decode.d1.loss_dice: 1.0234, decode.d2.loss_cls: 0.5548, decode.d2.loss_mask: 0.6449, decode.d2.loss_dice: 0.9854, decode.d3.loss_cls: 0.5429, decode.d3.loss_mask: 0.6339, decode.d3.loss_dice: 0.9640, decode.d4.loss_cls: 0.5385, decode.d4.loss_mask: 0.6310, decode.d4.loss_dice: 0.9638, decode.d5.loss_cls: 0.5317, decode.d5.loss_mask: 0.6350, decode.d5.loss_dice: 0.9638, decode.d6.loss_cls: 0.5332, decode.d6.loss_mask: 0.6333, decode.d6.loss_dice: 0.9539, decode.d7.loss_cls: 0.5320, decode.d7.loss_mask: 0.6331, decode.d7.loss_dice: 0.9571, decode.d8.loss_cls: 0.5206, decode.d8.loss_mask: 0.6313, decode.d8.loss_dice: 0.9577, loss: 22.6044, grad_norm: 44.0390 2023-11-12 02:31:21,270 - mmseg - INFO - Iter [26500/160000] lr: 8.344e-05, eta: 18:58:43, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5568, decode.loss_mask: 0.6521, decode.loss_dice: 0.9440, decode.d0.loss_cls: 1.5618, decode.d0.loss_mask: 0.6943, decode.d0.loss_dice: 1.0637, decode.d1.loss_cls: 0.6510, decode.d1.loss_mask: 0.6732, decode.d1.loss_dice: 1.0143, decode.d2.loss_cls: 0.5941, decode.d2.loss_mask: 0.6677, decode.d2.loss_dice: 0.9742, decode.d3.loss_cls: 0.5715, decode.d3.loss_mask: 0.6557, decode.d3.loss_dice: 0.9599, decode.d4.loss_cls: 0.5646, decode.d4.loss_mask: 0.6580, decode.d4.loss_dice: 0.9557, decode.d5.loss_cls: 0.5622, decode.d5.loss_mask: 0.6542, decode.d5.loss_dice: 0.9507, decode.d6.loss_cls: 0.5624, decode.d6.loss_mask: 0.6516, decode.d6.loss_dice: 0.9464, decode.d7.loss_cls: 0.5492, decode.d7.loss_mask: 0.6514, decode.d7.loss_dice: 0.9457, decode.d8.loss_cls: 0.5519, decode.d8.loss_mask: 0.6536, decode.d8.loss_dice: 0.9475, loss: 23.0393, grad_norm: 48.0351 2023-11-12 02:31:47,595 - mmseg - INFO - Iter [26550/160000] lr: 8.341e-05, eta: 18:58:21, time: 0.526, data_time: 0.058, memory: 41146, decode.loss_cls: 0.5108, decode.loss_mask: 0.6522, decode.loss_dice: 0.9270, decode.d0.loss_cls: 1.4942, decode.d0.loss_mask: 0.6985, decode.d0.loss_dice: 1.0331, decode.d1.loss_cls: 0.6084, decode.d1.loss_mask: 0.6804, decode.d1.loss_dice: 1.0026, decode.d2.loss_cls: 0.5473, decode.d2.loss_mask: 0.6699, decode.d2.loss_dice: 0.9631, decode.d3.loss_cls: 0.5247, decode.d3.loss_mask: 0.6624, decode.d3.loss_dice: 0.9372, decode.d4.loss_cls: 0.5220, decode.d4.loss_mask: 0.6602, decode.d4.loss_dice: 0.9357, decode.d5.loss_cls: 0.5217, decode.d5.loss_mask: 0.6560, decode.d5.loss_dice: 0.9400, decode.d6.loss_cls: 0.5071, decode.d6.loss_mask: 0.6564, decode.d6.loss_dice: 0.9338, decode.d7.loss_cls: 0.5037, decode.d7.loss_mask: 0.6565, decode.d7.loss_dice: 0.9356, decode.d8.loss_cls: 0.5032, decode.d8.loss_mask: 0.6523, decode.d8.loss_dice: 0.9295, loss: 22.4253, grad_norm: 48.7828 2023-11-12 02:32:11,799 - mmseg - INFO - Iter [26600/160000] lr: 8.338e-05, eta: 18:57:48, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4866, decode.loss_mask: 0.6489, decode.loss_dice: 0.9366, decode.d0.loss_cls: 1.5036, decode.d0.loss_mask: 0.6919, decode.d0.loss_dice: 1.0458, decode.d1.loss_cls: 0.5804, decode.d1.loss_mask: 0.6739, decode.d1.loss_dice: 1.0037, decode.d2.loss_cls: 0.5341, decode.d2.loss_mask: 0.6578, decode.d2.loss_dice: 0.9731, decode.d3.loss_cls: 0.5052, decode.d3.loss_mask: 0.6536, decode.d3.loss_dice: 0.9513, decode.d4.loss_cls: 0.4979, decode.d4.loss_mask: 0.6551, decode.d4.loss_dice: 0.9498, decode.d5.loss_cls: 0.4976, decode.d5.loss_mask: 0.6557, decode.d5.loss_dice: 0.9507, decode.d6.loss_cls: 0.4927, decode.d6.loss_mask: 0.6496, decode.d6.loss_dice: 0.9407, decode.d7.loss_cls: 0.4897, decode.d7.loss_mask: 0.6515, decode.d7.loss_dice: 0.9410, decode.d8.loss_cls: 0.4833, decode.d8.loss_mask: 0.6521, decode.d8.loss_dice: 0.9448, loss: 22.2987, grad_norm: 49.4540 2023-11-12 02:32:36,246 - mmseg - INFO - Iter [26650/160000] lr: 8.334e-05, eta: 18:57:17, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4870, decode.loss_mask: 0.6257, decode.loss_dice: 0.9101, decode.d0.loss_cls: 1.4725, decode.d0.loss_mask: 0.6573, decode.d0.loss_dice: 1.0163, decode.d1.loss_cls: 0.5823, decode.d1.loss_mask: 0.6448, decode.d1.loss_dice: 0.9748, decode.d2.loss_cls: 0.5276, decode.d2.loss_mask: 0.6354, decode.d2.loss_dice: 0.9374, decode.d3.loss_cls: 0.5022, decode.d3.loss_mask: 0.6258, decode.d3.loss_dice: 0.9144, decode.d4.loss_cls: 0.4978, decode.d4.loss_mask: 0.6249, decode.d4.loss_dice: 0.9116, decode.d5.loss_cls: 0.4968, decode.d5.loss_mask: 0.6242, decode.d5.loss_dice: 0.9116, decode.d6.loss_cls: 0.4925, decode.d6.loss_mask: 0.6232, decode.d6.loss_dice: 0.9056, decode.d7.loss_cls: 0.4867, decode.d7.loss_mask: 0.6272, decode.d7.loss_dice: 0.9076, decode.d8.loss_cls: 0.4844, decode.d8.loss_mask: 0.6245, decode.d8.loss_dice: 0.9131, loss: 21.6452, grad_norm: 44.2931 2023-11-12 02:33:00,483 - mmseg - INFO - Iter [26700/160000] lr: 8.331e-05, eta: 18:56:45, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4900, decode.loss_mask: 0.6432, decode.loss_dice: 0.9261, decode.d0.loss_cls: 1.5009, decode.d0.loss_mask: 0.6904, decode.d0.loss_dice: 1.0393, decode.d1.loss_cls: 0.5782, decode.d1.loss_mask: 0.6727, decode.d1.loss_dice: 0.9902, decode.d2.loss_cls: 0.5163, decode.d2.loss_mask: 0.6558, decode.d2.loss_dice: 0.9623, decode.d3.loss_cls: 0.4996, decode.d3.loss_mask: 0.6541, decode.d3.loss_dice: 0.9457, decode.d4.loss_cls: 0.4910, decode.d4.loss_mask: 0.6510, decode.d4.loss_dice: 0.9392, decode.d5.loss_cls: 0.4915, decode.d5.loss_mask: 0.6468, decode.d5.loss_dice: 0.9335, decode.d6.loss_cls: 0.4889, decode.d6.loss_mask: 0.6452, decode.d6.loss_dice: 0.9348, decode.d7.loss_cls: 0.4818, decode.d7.loss_mask: 0.6478, decode.d7.loss_dice: 0.9383, decode.d8.loss_cls: 0.4817, decode.d8.loss_mask: 0.6494, decode.d8.loss_dice: 0.9327, loss: 22.1182, grad_norm: 48.2534 2023-11-12 02:33:24,591 - mmseg - INFO - Iter [26750/160000] lr: 8.328e-05, eta: 18:56:12, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5133, decode.loss_mask: 0.6520, decode.loss_dice: 0.9352, decode.d0.loss_cls: 1.5336, decode.d0.loss_mask: 0.6819, decode.d0.loss_dice: 1.0373, decode.d1.loss_cls: 0.6114, decode.d1.loss_mask: 0.6790, decode.d1.loss_dice: 1.0029, decode.d2.loss_cls: 0.5530, decode.d2.loss_mask: 0.6644, decode.d2.loss_dice: 0.9678, decode.d3.loss_cls: 0.5232, decode.d3.loss_mask: 0.6537, decode.d3.loss_dice: 0.9481, decode.d4.loss_cls: 0.5174, decode.d4.loss_mask: 0.6556, decode.d4.loss_dice: 0.9500, decode.d5.loss_cls: 0.5164, decode.d5.loss_mask: 0.6529, decode.d5.loss_dice: 0.9508, decode.d6.loss_cls: 0.5159, decode.d6.loss_mask: 0.6494, decode.d6.loss_dice: 0.9385, decode.d7.loss_cls: 0.5083, decode.d7.loss_mask: 0.6489, decode.d7.loss_dice: 0.9386, decode.d8.loss_cls: 0.5114, decode.d8.loss_mask: 0.6551, decode.d8.loss_dice: 0.9393, loss: 22.5054, grad_norm: 47.4518 2023-11-12 02:33:48,697 - mmseg - INFO - Iter [26800/160000] lr: 8.325e-05, eta: 18:55:39, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5219, decode.loss_mask: 0.6254, decode.loss_dice: 0.9180, decode.d0.loss_cls: 1.5427, decode.d0.loss_mask: 0.6654, decode.d0.loss_dice: 1.0291, decode.d1.loss_cls: 0.6369, decode.d1.loss_mask: 0.6524, decode.d1.loss_dice: 0.9814, decode.d2.loss_cls: 0.5644, decode.d2.loss_mask: 0.6417, decode.d2.loss_dice: 0.9442, decode.d3.loss_cls: 0.5399, decode.d3.loss_mask: 0.6309, decode.d3.loss_dice: 0.9235, decode.d4.loss_cls: 0.5345, decode.d4.loss_mask: 0.6274, decode.d4.loss_dice: 0.9271, decode.d5.loss_cls: 0.5315, decode.d5.loss_mask: 0.6283, decode.d5.loss_dice: 0.9245, decode.d6.loss_cls: 0.5196, decode.d6.loss_mask: 0.6278, decode.d6.loss_dice: 0.9274, decode.d7.loss_cls: 0.5207, decode.d7.loss_mask: 0.6237, decode.d7.loss_dice: 0.9239, decode.d8.loss_cls: 0.5143, decode.d8.loss_mask: 0.6226, decode.d8.loss_dice: 0.9248, loss: 22.1958, grad_norm: 43.3747 2023-11-12 02:34:12,779 - mmseg - INFO - Iter [26850/160000] lr: 8.322e-05, eta: 18:55:06, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5021, decode.loss_mask: 0.6612, decode.loss_dice: 0.9353, decode.d0.loss_cls: 1.5211, decode.d0.loss_mask: 0.6958, decode.d0.loss_dice: 1.0365, decode.d1.loss_cls: 0.6155, decode.d1.loss_mask: 0.6842, decode.d1.loss_dice: 0.9922, decode.d2.loss_cls: 0.5509, decode.d2.loss_mask: 0.6752, decode.d2.loss_dice: 0.9619, decode.d3.loss_cls: 0.5275, decode.d3.loss_mask: 0.6627, decode.d3.loss_dice: 0.9460, decode.d4.loss_cls: 0.5177, decode.d4.loss_mask: 0.6597, decode.d4.loss_dice: 0.9427, decode.d5.loss_cls: 0.5175, decode.d5.loss_mask: 0.6640, decode.d5.loss_dice: 0.9446, decode.d6.loss_cls: 0.5134, decode.d6.loss_mask: 0.6585, decode.d6.loss_dice: 0.9376, decode.d7.loss_cls: 0.5012, decode.d7.loss_mask: 0.6610, decode.d7.loss_dice: 0.9372, decode.d8.loss_cls: 0.5057, decode.d8.loss_mask: 0.6597, decode.d8.loss_dice: 0.9377, loss: 22.5260, grad_norm: 47.7393 2023-11-12 02:34:36,859 - mmseg - INFO - Iter [26900/160000] lr: 8.319e-05, eta: 18:54:33, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5029, decode.loss_mask: 0.6444, decode.loss_dice: 0.9312, decode.d0.loss_cls: 1.5492, decode.d0.loss_mask: 0.6790, decode.d0.loss_dice: 1.0460, decode.d1.loss_cls: 0.6111, decode.d1.loss_mask: 0.6713, decode.d1.loss_dice: 1.0002, decode.d2.loss_cls: 0.5480, decode.d2.loss_mask: 0.6594, decode.d2.loss_dice: 0.9743, decode.d3.loss_cls: 0.5248, decode.d3.loss_mask: 0.6459, decode.d3.loss_dice: 0.9472, decode.d4.loss_cls: 0.5151, decode.d4.loss_mask: 0.6473, decode.d4.loss_dice: 0.9461, decode.d5.loss_cls: 0.5134, decode.d5.loss_mask: 0.6476, decode.d5.loss_dice: 0.9446, decode.d6.loss_cls: 0.5117, decode.d6.loss_mask: 0.6436, decode.d6.loss_dice: 0.9326, decode.d7.loss_cls: 0.5075, decode.d7.loss_mask: 0.6451, decode.d7.loss_dice: 0.9331, decode.d8.loss_cls: 0.5050, decode.d8.loss_mask: 0.6487, decode.d8.loss_dice: 0.9372, loss: 22.4134, grad_norm: 47.4161 2023-11-12 02:35:01,217 - mmseg - INFO - Iter [26950/160000] lr: 8.316e-05, eta: 18:54:01, time: 0.487, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5160, decode.loss_mask: 0.6172, decode.loss_dice: 0.9165, decode.d0.loss_cls: 1.5513, decode.d0.loss_mask: 0.6436, decode.d0.loss_dice: 1.0292, decode.d1.loss_cls: 0.6255, decode.d1.loss_mask: 0.6367, decode.d1.loss_dice: 0.9833, decode.d2.loss_cls: 0.5596, decode.d2.loss_mask: 0.6255, decode.d2.loss_dice: 0.9484, decode.d3.loss_cls: 0.5454, decode.d3.loss_mask: 0.6197, decode.d3.loss_dice: 0.9204, decode.d4.loss_cls: 0.5261, decode.d4.loss_mask: 0.6185, decode.d4.loss_dice: 0.9293, decode.d5.loss_cls: 0.5244, decode.d5.loss_mask: 0.6169, decode.d5.loss_dice: 0.9307, decode.d6.loss_cls: 0.5162, decode.d6.loss_mask: 0.6130, decode.d6.loss_dice: 0.9198, decode.d7.loss_cls: 0.5182, decode.d7.loss_mask: 0.6147, decode.d7.loss_dice: 0.9164, decode.d8.loss_cls: 0.5123, decode.d8.loss_mask: 0.6165, decode.d8.loss_dice: 0.9151, loss: 22.0264, grad_norm: 46.6715 2023-11-12 02:35:25,751 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 02:35:25,751 - mmseg - INFO - Iter [27000/160000] lr: 8.313e-05, eta: 18:53:31, time: 0.491, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5051, decode.loss_mask: 0.6249, decode.loss_dice: 0.9199, decode.d0.loss_cls: 1.4660, decode.d0.loss_mask: 0.6582, decode.d0.loss_dice: 1.0324, decode.d1.loss_cls: 0.5992, decode.d1.loss_mask: 0.6575, decode.d1.loss_dice: 0.9878, decode.d2.loss_cls: 0.5470, decode.d2.loss_mask: 0.6388, decode.d2.loss_dice: 0.9550, decode.d3.loss_cls: 0.5255, decode.d3.loss_mask: 0.6291, decode.d3.loss_dice: 0.9293, decode.d4.loss_cls: 0.5189, decode.d4.loss_mask: 0.6293, decode.d4.loss_dice: 0.9310, decode.d5.loss_cls: 0.5085, decode.d5.loss_mask: 0.6222, decode.d5.loss_dice: 0.9335, decode.d6.loss_cls: 0.5101, decode.d6.loss_mask: 0.6237, decode.d6.loss_dice: 0.9187, decode.d7.loss_cls: 0.5012, decode.d7.loss_mask: 0.6277, decode.d7.loss_dice: 0.9260, decode.d8.loss_cls: 0.5015, decode.d8.loss_mask: 0.6270, decode.d8.loss_dice: 0.9270, loss: 21.9819, grad_norm: 49.2064 2023-11-12 02:35:50,322 - mmseg - INFO - Iter [27050/160000] lr: 8.309e-05, eta: 18:53:00, time: 0.491, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5092, decode.loss_mask: 0.6501, decode.loss_dice: 0.9454, decode.d0.loss_cls: 1.5351, decode.d0.loss_mask: 0.6873, decode.d0.loss_dice: 1.0540, decode.d1.loss_cls: 0.6233, decode.d1.loss_mask: 0.6670, decode.d1.loss_dice: 1.0152, decode.d2.loss_cls: 0.5715, decode.d2.loss_mask: 0.6555, decode.d2.loss_dice: 0.9774, decode.d3.loss_cls: 0.5398, decode.d3.loss_mask: 0.6473, decode.d3.loss_dice: 0.9615, decode.d4.loss_cls: 0.5307, decode.d4.loss_mask: 0.6518, decode.d4.loss_dice: 0.9538, decode.d5.loss_cls: 0.5242, decode.d5.loss_mask: 0.6487, decode.d5.loss_dice: 0.9580, decode.d6.loss_cls: 0.5180, decode.d6.loss_mask: 0.6478, decode.d6.loss_dice: 0.9533, decode.d7.loss_cls: 0.5168, decode.d7.loss_mask: 0.6473, decode.d7.loss_dice: 0.9527, decode.d8.loss_cls: 0.5095, decode.d8.loss_mask: 0.6490, decode.d8.loss_dice: 0.9509, loss: 22.6522, grad_norm: 46.2779 2023-11-12 02:36:14,499 - mmseg - INFO - Iter [27100/160000] lr: 8.306e-05, eta: 18:52:28, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4943, decode.loss_mask: 0.6551, decode.loss_dice: 0.9308, decode.d0.loss_cls: 1.4669, decode.d0.loss_mask: 0.6880, decode.d0.loss_dice: 1.0442, decode.d1.loss_cls: 0.5916, decode.d1.loss_mask: 0.6758, decode.d1.loss_dice: 0.9951, decode.d2.loss_cls: 0.5379, decode.d2.loss_mask: 0.6643, decode.d2.loss_dice: 0.9580, decode.d3.loss_cls: 0.5208, decode.d3.loss_mask: 0.6543, decode.d3.loss_dice: 0.9371, decode.d4.loss_cls: 0.5090, decode.d4.loss_mask: 0.6565, decode.d4.loss_dice: 0.9436, decode.d5.loss_cls: 0.5103, decode.d5.loss_mask: 0.6514, decode.d5.loss_dice: 0.9346, decode.d6.loss_cls: 0.5024, decode.d6.loss_mask: 0.6515, decode.d6.loss_dice: 0.9336, decode.d7.loss_cls: 0.5007, decode.d7.loss_mask: 0.6513, decode.d7.loss_dice: 0.9317, decode.d8.loss_cls: 0.4900, decode.d8.loss_mask: 0.6549, decode.d8.loss_dice: 0.9330, loss: 22.2687, grad_norm: 45.4156 2023-11-12 02:36:38,674 - mmseg - INFO - Iter [27150/160000] lr: 8.303e-05, eta: 18:51:56, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5244, decode.loss_mask: 0.6322, decode.loss_dice: 0.9360, decode.d0.loss_cls: 1.5189, decode.d0.loss_mask: 0.6665, decode.d0.loss_dice: 1.0465, decode.d1.loss_cls: 0.6088, decode.d1.loss_mask: 0.6604, decode.d1.loss_dice: 1.0036, decode.d2.loss_cls: 0.5685, decode.d2.loss_mask: 0.6385, decode.d2.loss_dice: 0.9631, decode.d3.loss_cls: 0.5475, decode.d3.loss_mask: 0.6364, decode.d3.loss_dice: 0.9334, decode.d4.loss_cls: 0.5436, decode.d4.loss_mask: 0.6350, decode.d4.loss_dice: 0.9383, decode.d5.loss_cls: 0.5394, decode.d5.loss_mask: 0.6347, decode.d5.loss_dice: 0.9409, decode.d6.loss_cls: 0.5330, decode.d6.loss_mask: 0.6309, decode.d6.loss_dice: 0.9274, decode.d7.loss_cls: 0.5309, decode.d7.loss_mask: 0.6288, decode.d7.loss_dice: 0.9321, decode.d8.loss_cls: 0.5315, decode.d8.loss_mask: 0.6317, decode.d8.loss_dice: 0.9317, loss: 22.3946, grad_norm: 45.0335 2023-11-12 02:37:03,251 - mmseg - INFO - Iter [27200/160000] lr: 8.300e-05, eta: 18:51:25, time: 0.492, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5138, decode.loss_mask: 0.6348, decode.loss_dice: 0.9232, decode.d0.loss_cls: 1.5089, decode.d0.loss_mask: 0.6700, decode.d0.loss_dice: 1.0372, decode.d1.loss_cls: 0.6239, decode.d1.loss_mask: 0.6545, decode.d1.loss_dice: 0.9892, decode.d2.loss_cls: 0.5535, decode.d2.loss_mask: 0.6455, decode.d2.loss_dice: 0.9539, decode.d3.loss_cls: 0.5356, decode.d3.loss_mask: 0.6394, decode.d3.loss_dice: 0.9345, decode.d4.loss_cls: 0.5255, decode.d4.loss_mask: 0.6363, decode.d4.loss_dice: 0.9401, decode.d5.loss_cls: 0.5085, decode.d5.loss_mask: 0.6408, decode.d5.loss_dice: 0.9396, decode.d6.loss_cls: 0.5188, decode.d6.loss_mask: 0.6346, decode.d6.loss_dice: 0.9296, decode.d7.loss_cls: 0.5135, decode.d7.loss_mask: 0.6354, decode.d7.loss_dice: 0.9279, decode.d8.loss_cls: 0.5157, decode.d8.loss_mask: 0.6373, decode.d8.loss_dice: 0.9266, loss: 22.2481, grad_norm: 50.8727 2023-11-12 02:37:27,377 - mmseg - INFO - Iter [27250/160000] lr: 8.297e-05, eta: 18:50:53, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4895, decode.loss_mask: 0.6575, decode.loss_dice: 0.9404, decode.d0.loss_cls: 1.4826, decode.d0.loss_mask: 0.6898, decode.d0.loss_dice: 1.0284, decode.d1.loss_cls: 0.5835, decode.d1.loss_mask: 0.6755, decode.d1.loss_dice: 1.0066, decode.d2.loss_cls: 0.5220, decode.d2.loss_mask: 0.6632, decode.d2.loss_dice: 0.9713, decode.d3.loss_cls: 0.5029, decode.d3.loss_mask: 0.6552, decode.d3.loss_dice: 0.9503, decode.d4.loss_cls: 0.4940, decode.d4.loss_mask: 0.6599, decode.d4.loss_dice: 0.9537, decode.d5.loss_cls: 0.4906, decode.d5.loss_mask: 0.6556, decode.d5.loss_dice: 0.9493, decode.d6.loss_cls: 0.4842, decode.d6.loss_mask: 0.6554, decode.d6.loss_dice: 0.9471, decode.d7.loss_cls: 0.4854, decode.d7.loss_mask: 0.6575, decode.d7.loss_dice: 0.9414, decode.d8.loss_cls: 0.4838, decode.d8.loss_mask: 0.6536, decode.d8.loss_dice: 0.9463, loss: 22.2765, grad_norm: 51.0145 2023-11-12 02:37:51,861 - mmseg - INFO - Iter [27300/160000] lr: 8.294e-05, eta: 18:50:22, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4963, decode.loss_mask: 0.6438, decode.loss_dice: 0.9363, decode.d0.loss_cls: 1.5189, decode.d0.loss_mask: 0.6767, decode.d0.loss_dice: 1.0420, decode.d1.loss_cls: 0.5914, decode.d1.loss_mask: 0.6725, decode.d1.loss_dice: 0.9974, decode.d2.loss_cls: 0.5302, decode.d2.loss_mask: 0.6549, decode.d2.loss_dice: 0.9684, decode.d3.loss_cls: 0.5122, decode.d3.loss_mask: 0.6502, decode.d3.loss_dice: 0.9440, decode.d4.loss_cls: 0.5080, decode.d4.loss_mask: 0.6458, decode.d4.loss_dice: 0.9416, decode.d5.loss_cls: 0.5051, decode.d5.loss_mask: 0.6486, decode.d5.loss_dice: 0.9459, decode.d6.loss_cls: 0.4915, decode.d6.loss_mask: 0.6461, decode.d6.loss_dice: 0.9416, decode.d7.loss_cls: 0.4956, decode.d7.loss_mask: 0.6438, decode.d7.loss_dice: 0.9395, decode.d8.loss_cls: 0.4986, decode.d8.loss_mask: 0.6439, decode.d8.loss_dice: 0.9429, loss: 22.2738, grad_norm: 47.3426 2023-11-12 02:38:16,081 - mmseg - INFO - Iter [27350/160000] lr: 8.291e-05, eta: 18:49:50, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5167, decode.loss_mask: 0.6382, decode.loss_dice: 0.9341, decode.d0.loss_cls: 1.5152, decode.d0.loss_mask: 0.6748, decode.d0.loss_dice: 1.0517, decode.d1.loss_cls: 0.6203, decode.d1.loss_mask: 0.6638, decode.d1.loss_dice: 1.0080, decode.d2.loss_cls: 0.5680, decode.d2.loss_mask: 0.6475, decode.d2.loss_dice: 0.9731, decode.d3.loss_cls: 0.5410, decode.d3.loss_mask: 0.6385, decode.d3.loss_dice: 0.9528, decode.d4.loss_cls: 0.5350, decode.d4.loss_mask: 0.6380, decode.d4.loss_dice: 0.9476, decode.d5.loss_cls: 0.5304, decode.d5.loss_mask: 0.6388, decode.d5.loss_dice: 0.9436, decode.d6.loss_cls: 0.5287, decode.d6.loss_mask: 0.6395, decode.d6.loss_dice: 0.9377, decode.d7.loss_cls: 0.5187, decode.d7.loss_mask: 0.6368, decode.d7.loss_dice: 0.9350, decode.d8.loss_cls: 0.5199, decode.d8.loss_mask: 0.6372, decode.d8.loss_dice: 0.9366, loss: 22.4670, grad_norm: 45.5302 2023-11-12 02:38:40,453 - mmseg - INFO - Iter [27400/160000] lr: 8.288e-05, eta: 18:49:19, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5143, decode.loss_mask: 0.6446, decode.loss_dice: 0.9457, decode.d0.loss_cls: 1.5109, decode.d0.loss_mask: 0.6830, decode.d0.loss_dice: 1.0470, decode.d1.loss_cls: 0.6190, decode.d1.loss_mask: 0.6701, decode.d1.loss_dice: 1.0108, decode.d2.loss_cls: 0.5634, decode.d2.loss_mask: 0.6564, decode.d2.loss_dice: 0.9747, decode.d3.loss_cls: 0.5458, decode.d3.loss_mask: 0.6502, decode.d3.loss_dice: 0.9525, decode.d4.loss_cls: 0.5258, decode.d4.loss_mask: 0.6487, decode.d4.loss_dice: 0.9534, decode.d5.loss_cls: 0.5254, decode.d5.loss_mask: 0.6459, decode.d5.loss_dice: 0.9497, decode.d6.loss_cls: 0.5251, decode.d6.loss_mask: 0.6464, decode.d6.loss_dice: 0.9455, decode.d7.loss_cls: 0.5186, decode.d7.loss_mask: 0.6453, decode.d7.loss_dice: 0.9451, decode.d8.loss_cls: 0.5225, decode.d8.loss_mask: 0.6437, decode.d8.loss_dice: 0.9455, loss: 22.5748, grad_norm: 50.4206 2023-11-12 02:39:04,871 - mmseg - INFO - Iter [27450/160000] lr: 8.284e-05, eta: 18:48:47, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5039, decode.loss_mask: 0.6356, decode.loss_dice: 0.9426, decode.d0.loss_cls: 1.5337, decode.d0.loss_mask: 0.6746, decode.d0.loss_dice: 1.0326, decode.d1.loss_cls: 0.6108, decode.d1.loss_mask: 0.6531, decode.d1.loss_dice: 0.9962, decode.d2.loss_cls: 0.5538, decode.d2.loss_mask: 0.6416, decode.d2.loss_dice: 0.9657, decode.d3.loss_cls: 0.5361, decode.d3.loss_mask: 0.6330, decode.d3.loss_dice: 0.9455, decode.d4.loss_cls: 0.5260, decode.d4.loss_mask: 0.6354, decode.d4.loss_dice: 0.9420, decode.d5.loss_cls: 0.5240, decode.d5.loss_mask: 0.6385, decode.d5.loss_dice: 0.9395, decode.d6.loss_cls: 0.5123, decode.d6.loss_mask: 0.6376, decode.d6.loss_dice: 0.9368, decode.d7.loss_cls: 0.5158, decode.d7.loss_mask: 0.6381, decode.d7.loss_dice: 0.9329, decode.d8.loss_cls: 0.5086, decode.d8.loss_mask: 0.6385, decode.d8.loss_dice: 0.9432, loss: 22.3282, grad_norm: 45.9900 2023-11-12 02:39:29,064 - mmseg - INFO - Iter [27500/160000] lr: 8.281e-05, eta: 18:48:15, time: 0.486, data_time: 0.015, memory: 41146, decode.loss_cls: 0.4827, decode.loss_mask: 0.6477, decode.loss_dice: 0.9242, decode.d0.loss_cls: 1.4541, decode.d0.loss_mask: 0.6850, decode.d0.loss_dice: 1.0266, decode.d1.loss_cls: 0.5778, decode.d1.loss_mask: 0.6708, decode.d1.loss_dice: 0.9950, decode.d2.loss_cls: 0.5212, decode.d2.loss_mask: 0.6555, decode.d2.loss_dice: 0.9560, decode.d3.loss_cls: 0.4947, decode.d3.loss_mask: 0.6506, decode.d3.loss_dice: 0.9347, decode.d4.loss_cls: 0.4920, decode.d4.loss_mask: 0.6495, decode.d4.loss_dice: 0.9354, decode.d5.loss_cls: 0.4896, decode.d5.loss_mask: 0.6545, decode.d5.loss_dice: 0.9362, decode.d6.loss_cls: 0.4834, decode.d6.loss_mask: 0.6502, decode.d6.loss_dice: 0.9244, decode.d7.loss_cls: 0.4853, decode.d7.loss_mask: 0.6480, decode.d7.loss_dice: 0.9214, decode.d8.loss_cls: 0.4772, decode.d8.loss_mask: 0.6476, decode.d8.loss_dice: 0.9256, loss: 21.9970, grad_norm: 48.7300 2023-11-12 02:39:53,271 - mmseg - INFO - Iter [27550/160000] lr: 8.278e-05, eta: 18:47:44, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4965, decode.loss_mask: 0.6533, decode.loss_dice: 0.9144, decode.d0.loss_cls: 1.4855, decode.d0.loss_mask: 0.6821, decode.d0.loss_dice: 1.0257, decode.d1.loss_cls: 0.5974, decode.d1.loss_mask: 0.6802, decode.d1.loss_dice: 0.9877, decode.d2.loss_cls: 0.5484, decode.d2.loss_mask: 0.6617, decode.d2.loss_dice: 0.9376, decode.d3.loss_cls: 0.5256, decode.d3.loss_mask: 0.6537, decode.d3.loss_dice: 0.9238, decode.d4.loss_cls: 0.5101, decode.d4.loss_mask: 0.6575, decode.d4.loss_dice: 0.9257, decode.d5.loss_cls: 0.5102, decode.d5.loss_mask: 0.6527, decode.d5.loss_dice: 0.9200, decode.d6.loss_cls: 0.5002, decode.d6.loss_mask: 0.6527, decode.d6.loss_dice: 0.9200, decode.d7.loss_cls: 0.5018, decode.d7.loss_mask: 0.6549, decode.d7.loss_dice: 0.9141, decode.d8.loss_cls: 0.5032, decode.d8.loss_mask: 0.6560, decode.d8.loss_dice: 0.9146, loss: 22.1677, grad_norm: 49.1421 2023-11-12 02:40:17,425 - mmseg - INFO - Iter [27600/160000] lr: 8.275e-05, eta: 18:47:11, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5171, decode.loss_mask: 0.6518, decode.loss_dice: 0.9473, decode.d0.loss_cls: 1.5126, decode.d0.loss_mask: 0.6954, decode.d0.loss_dice: 1.0483, decode.d1.loss_cls: 0.6226, decode.d1.loss_mask: 0.6822, decode.d1.loss_dice: 1.0185, decode.d2.loss_cls: 0.5674, decode.d2.loss_mask: 0.6696, decode.d2.loss_dice: 0.9763, decode.d3.loss_cls: 0.5475, decode.d3.loss_mask: 0.6590, decode.d3.loss_dice: 0.9596, decode.d4.loss_cls: 0.5340, decode.d4.loss_mask: 0.6600, decode.d4.loss_dice: 0.9566, decode.d5.loss_cls: 0.5337, decode.d5.loss_mask: 0.6558, decode.d5.loss_dice: 0.9548, decode.d6.loss_cls: 0.5261, decode.d6.loss_mask: 0.6522, decode.d6.loss_dice: 0.9480, decode.d7.loss_cls: 0.5146, decode.d7.loss_mask: 0.6537, decode.d7.loss_dice: 0.9551, decode.d8.loss_cls: 0.5233, decode.d8.loss_mask: 0.6524, decode.d8.loss_dice: 0.9484, loss: 22.7440, grad_norm: 49.7474 2023-11-12 02:40:41,522 - mmseg - INFO - Iter [27650/160000] lr: 8.272e-05, eta: 18:46:39, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5048, decode.loss_mask: 0.6617, decode.loss_dice: 0.9352, decode.d0.loss_cls: 1.5137, decode.d0.loss_mask: 0.6879, decode.d0.loss_dice: 1.0373, decode.d1.loss_cls: 0.6100, decode.d1.loss_mask: 0.6843, decode.d1.loss_dice: 1.0084, decode.d2.loss_cls: 0.5501, decode.d2.loss_mask: 0.6686, decode.d2.loss_dice: 0.9692, decode.d3.loss_cls: 0.5256, decode.d3.loss_mask: 0.6667, decode.d3.loss_dice: 0.9484, decode.d4.loss_cls: 0.5177, decode.d4.loss_mask: 0.6644, decode.d4.loss_dice: 0.9519, decode.d5.loss_cls: 0.5129, decode.d5.loss_mask: 0.6663, decode.d5.loss_dice: 0.9496, decode.d6.loss_cls: 0.5079, decode.d6.loss_mask: 0.6655, decode.d6.loss_dice: 0.9381, decode.d7.loss_cls: 0.5036, decode.d7.loss_mask: 0.6643, decode.d7.loss_dice: 0.9427, decode.d8.loss_cls: 0.5023, decode.d8.loss_mask: 0.6644, decode.d8.loss_dice: 0.9412, loss: 22.5648, grad_norm: 48.2490 2023-11-12 02:41:05,584 - mmseg - INFO - Iter [27700/160000] lr: 8.269e-05, eta: 18:46:06, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5250, decode.loss_mask: 0.6525, decode.loss_dice: 0.9590, decode.d0.loss_cls: 1.5405, decode.d0.loss_mask: 0.6821, decode.d0.loss_dice: 1.0594, decode.d1.loss_cls: 0.6317, decode.d1.loss_mask: 0.6751, decode.d1.loss_dice: 1.0256, decode.d2.loss_cls: 0.5743, decode.d2.loss_mask: 0.6614, decode.d2.loss_dice: 0.9862, decode.d3.loss_cls: 0.5593, decode.d3.loss_mask: 0.6590, decode.d3.loss_dice: 0.9616, decode.d4.loss_cls: 0.5423, decode.d4.loss_mask: 0.6546, decode.d4.loss_dice: 0.9685, decode.d5.loss_cls: 0.5355, decode.d5.loss_mask: 0.6541, decode.d5.loss_dice: 0.9680, decode.d6.loss_cls: 0.5344, decode.d6.loss_mask: 0.6498, decode.d6.loss_dice: 0.9572, decode.d7.loss_cls: 0.5281, decode.d7.loss_mask: 0.6509, decode.d7.loss_dice: 0.9570, decode.d8.loss_cls: 0.5363, decode.d8.loss_mask: 0.6463, decode.d8.loss_dice: 0.9563, loss: 22.8921, grad_norm: 44.8967 2023-11-12 02:41:29,733 - mmseg - INFO - Iter [27750/160000] lr: 8.266e-05, eta: 18:45:34, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4872, decode.loss_mask: 0.6584, decode.loss_dice: 0.9293, decode.d0.loss_cls: 1.4686, decode.d0.loss_mask: 0.6919, decode.d0.loss_dice: 1.0445, decode.d1.loss_cls: 0.5880, decode.d1.loss_mask: 0.6783, decode.d1.loss_dice: 0.9947, decode.d2.loss_cls: 0.5377, decode.d2.loss_mask: 0.6592, decode.d2.loss_dice: 0.9560, decode.d3.loss_cls: 0.5165, decode.d3.loss_mask: 0.6575, decode.d3.loss_dice: 0.9410, decode.d4.loss_cls: 0.5049, decode.d4.loss_mask: 0.6555, decode.d4.loss_dice: 0.9409, decode.d5.loss_cls: 0.4975, decode.d5.loss_mask: 0.6574, decode.d5.loss_dice: 0.9415, decode.d6.loss_cls: 0.4982, decode.d6.loss_mask: 0.6544, decode.d6.loss_dice: 0.9282, decode.d7.loss_cls: 0.4928, decode.d7.loss_mask: 0.6577, decode.d7.loss_dice: 0.9291, decode.d8.loss_cls: 0.4887, decode.d8.loss_mask: 0.6573, decode.d8.loss_dice: 0.9257, loss: 22.2387, grad_norm: 48.6838 2023-11-12 02:41:56,133 - mmseg - INFO - Iter [27800/160000] lr: 8.263e-05, eta: 18:45:13, time: 0.528, data_time: 0.058, memory: 41146, decode.loss_cls: 0.5223, decode.loss_mask: 0.6567, decode.loss_dice: 0.9343, decode.d0.loss_cls: 1.4990, decode.d0.loss_mask: 0.6892, decode.d0.loss_dice: 1.0347, decode.d1.loss_cls: 0.5992, decode.d1.loss_mask: 0.6799, decode.d1.loss_dice: 0.9842, decode.d2.loss_cls: 0.5511, decode.d2.loss_mask: 0.6732, decode.d2.loss_dice: 0.9603, decode.d3.loss_cls: 0.5363, decode.d3.loss_mask: 0.6646, decode.d3.loss_dice: 0.9369, decode.d4.loss_cls: 0.5182, decode.d4.loss_mask: 0.6604, decode.d4.loss_dice: 0.9431, decode.d5.loss_cls: 0.5222, decode.d5.loss_mask: 0.6578, decode.d5.loss_dice: 0.9415, decode.d6.loss_cls: 0.5193, decode.d6.loss_mask: 0.6586, decode.d6.loss_dice: 0.9343, decode.d7.loss_cls: 0.5140, decode.d7.loss_mask: 0.6602, decode.d7.loss_dice: 0.9393, decode.d8.loss_cls: 0.5155, decode.d8.loss_mask: 0.6589, decode.d8.loss_dice: 0.9366, loss: 22.5017, grad_norm: 46.7583 2023-11-12 02:42:20,420 - mmseg - INFO - Iter [27850/160000] lr: 8.259e-05, eta: 18:44:41, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4955, decode.loss_mask: 0.6193, decode.loss_dice: 0.9164, decode.d0.loss_cls: 1.5613, decode.d0.loss_mask: 0.6517, decode.d0.loss_dice: 1.0192, decode.d1.loss_cls: 0.6098, decode.d1.loss_mask: 0.6442, decode.d1.loss_dice: 0.9752, decode.d2.loss_cls: 0.5461, decode.d2.loss_mask: 0.6254, decode.d2.loss_dice: 0.9377, decode.d3.loss_cls: 0.5205, decode.d3.loss_mask: 0.6235, decode.d3.loss_dice: 0.9237, decode.d4.loss_cls: 0.5115, decode.d4.loss_mask: 0.6228, decode.d4.loss_dice: 0.9221, decode.d5.loss_cls: 0.5023, decode.d5.loss_mask: 0.6205, decode.d5.loss_dice: 0.9240, decode.d6.loss_cls: 0.5057, decode.d6.loss_mask: 0.6168, decode.d6.loss_dice: 0.9158, decode.d7.loss_cls: 0.4926, decode.d7.loss_mask: 0.6170, decode.d7.loss_dice: 0.9209, decode.d8.loss_cls: 0.4939, decode.d8.loss_mask: 0.6168, decode.d8.loss_dice: 0.9184, loss: 21.8708, grad_norm: 44.7557 2023-11-12 02:42:44,721 - mmseg - INFO - Iter [27900/160000] lr: 8.256e-05, eta: 18:44:10, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5090, decode.loss_mask: 0.6614, decode.loss_dice: 0.9409, decode.d0.loss_cls: 1.5058, decode.d0.loss_mask: 0.6970, decode.d0.loss_dice: 1.0497, decode.d1.loss_cls: 0.5983, decode.d1.loss_mask: 0.6882, decode.d1.loss_dice: 1.0082, decode.d2.loss_cls: 0.5421, decode.d2.loss_mask: 0.6708, decode.d2.loss_dice: 0.9723, decode.d3.loss_cls: 0.5223, decode.d3.loss_mask: 0.6604, decode.d3.loss_dice: 0.9510, decode.d4.loss_cls: 0.5141, decode.d4.loss_mask: 0.6654, decode.d4.loss_dice: 0.9510, decode.d5.loss_cls: 0.5176, decode.d5.loss_mask: 0.6650, decode.d5.loss_dice: 0.9487, decode.d6.loss_cls: 0.5130, decode.d6.loss_mask: 0.6603, decode.d6.loss_dice: 0.9405, decode.d7.loss_cls: 0.5020, decode.d7.loss_mask: 0.6636, decode.d7.loss_dice: 0.9413, decode.d8.loss_cls: 0.5073, decode.d8.loss_mask: 0.6621, decode.d8.loss_dice: 0.9415, loss: 22.5706, grad_norm: 50.0836 2023-11-12 02:43:08,660 - mmseg - INFO - Iter [27950/160000] lr: 8.253e-05, eta: 18:43:37, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4900, decode.loss_mask: 0.6286, decode.loss_dice: 0.9035, decode.d0.loss_cls: 1.5149, decode.d0.loss_mask: 0.6628, decode.d0.loss_dice: 1.0083, decode.d1.loss_cls: 0.5919, decode.d1.loss_mask: 0.6561, decode.d1.loss_dice: 0.9682, decode.d2.loss_cls: 0.5421, decode.d2.loss_mask: 0.6429, decode.d2.loss_dice: 0.9315, decode.d3.loss_cls: 0.5128, decode.d3.loss_mask: 0.6349, decode.d3.loss_dice: 0.9151, decode.d4.loss_cls: 0.5007, decode.d4.loss_mask: 0.6357, decode.d4.loss_dice: 0.9164, decode.d5.loss_cls: 0.4973, decode.d5.loss_mask: 0.6316, decode.d5.loss_dice: 0.9185, decode.d6.loss_cls: 0.4980, decode.d6.loss_mask: 0.6316, decode.d6.loss_dice: 0.9040, decode.d7.loss_cls: 0.4906, decode.d7.loss_mask: 0.6270, decode.d7.loss_dice: 0.9090, decode.d8.loss_cls: 0.4862, decode.d8.loss_mask: 0.6282, decode.d8.loss_dice: 0.9082, loss: 21.7867, grad_norm: 47.0768 2023-11-12 02:43:32,722 - mmseg - INFO - Saving checkpoint at 28000 iterations 2023-11-12 02:43:36,448 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 02:43:36,448 - mmseg - INFO - Iter [28000/160000] lr: 8.250e-05, eta: 18:43:22, time: 0.556, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4654, decode.loss_mask: 0.6436, decode.loss_dice: 0.9415, decode.d0.loss_cls: 1.4653, decode.d0.loss_mask: 0.6851, decode.d0.loss_dice: 1.0458, decode.d1.loss_cls: 0.5831, decode.d1.loss_mask: 0.6702, decode.d1.loss_dice: 1.0012, decode.d2.loss_cls: 0.5232, decode.d2.loss_mask: 0.6556, decode.d2.loss_dice: 0.9637, decode.d3.loss_cls: 0.5037, decode.d3.loss_mask: 0.6468, decode.d3.loss_dice: 0.9400, decode.d4.loss_cls: 0.4886, decode.d4.loss_mask: 0.6463, decode.d4.loss_dice: 0.9457, decode.d5.loss_cls: 0.4801, decode.d5.loss_mask: 0.6466, decode.d5.loss_dice: 0.9476, decode.d6.loss_cls: 0.4770, decode.d6.loss_mask: 0.6477, decode.d6.loss_dice: 0.9434, decode.d7.loss_cls: 0.4726, decode.d7.loss_mask: 0.6477, decode.d7.loss_dice: 0.9448, decode.d8.loss_cls: 0.4723, decode.d8.loss_mask: 0.6477, decode.d8.loss_dice: 0.9427, loss: 22.0850, grad_norm: 44.5235 2023-11-12 02:43:56,215 - mmseg - INFO - per class results: 2023-11-12 02:43:56,225 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.57 | 83.43 | | building | 81.28 | 92.49 | | sky | 94.6 | 97.4 | | floor | 83.26 | 89.58 | | tree | 74.78 | 88.48 | | ceiling | 85.29 | 93.38 | | road | 83.28 | 87.84 | | bed | 90.47 | 95.65 | | windowpane | 60.62 | 77.56 | | grass | 70.88 | 85.46 | | cabinet | 60.0 | 74.03 | | sidewalk | 64.31 | 84.61 | | person | 84.57 | 93.42 | | earth | 38.27 | 54.92 | | door | 47.12 | 71.88 | | table | 62.11 | 79.57 | | mountain | 59.12 | 72.06 | | plant | 53.05 | 66.44 | | curtain | 79.12 | 87.89 | | chair | 60.02 | 72.18 | | car | 85.7 | 93.02 | | water | 47.85 | 55.03 | | painting | 68.83 | 89.18 | | sofa | 70.29 | 80.14 | | shelf | 42.21 | 57.22 | | house | 33.45 | 35.74 | | sea | 67.14 | 94.6 | | mirror | 67.83 | 86.05 | | rug | 70.99 | 85.1 | | field | 34.87 | 44.4 | | armchair | 46.18 | 76.33 | | seat | 58.56 | 77.78 | | fence | 42.58 | 70.4 | | desk | 51.6 | 74.49 | | rock | 53.09 | 84.67 | | wardrobe | 45.97 | 72.62 | | lamp | 68.86 | 81.38 | | bathtub | 77.07 | 85.55 | | railing | 29.77 | 43.54 | | cushion | 63.28 | 75.27 | | base | 24.3 | 46.43 | | box | 27.47 | 40.15 | | column | 45.61 | 62.83 | | signboard | 38.32 | 57.27 | | chest of drawers | 41.23 | 69.12 | | counter | 29.77 | 35.74 | | sand | 39.74 | 48.8 | | sink | 75.9 | 85.19 | | skyscraper | 38.28 | 42.47 | | fireplace | 60.73 | 79.55 | | refrigerator | 76.72 | 89.05 | | grandstand | 38.32 | 78.9 | | path | 18.59 | 27.22 | | stairs | 15.2 | 16.89 | | runway | 76.9 | 89.48 | | case | 53.79 | 75.27 | | pool table | 94.02 | 96.96 | | pillow | 58.29 | 73.93 | | screen door | 64.03 | 70.14 | | stairway | 26.48 | 50.7 | | river | 20.86 | 39.82 | | bridge | 71.08 | 88.39 | | bookcase | 33.3 | 45.27 | | blind | 35.61 | 43.62 | | coffee table | 59.87 | 87.23 | | toilet | 83.56 | 88.65 | | flower | 41.06 | 58.76 | | book | 49.8 | 78.37 | | hill | 6.86 | 14.43 | | bench | 43.55 | 56.54 | | countertop | 56.23 | 67.41 | | stove | 83.73 | 93.83 | | palm | 57.23 | 71.98 | | kitchen island | 46.1 | 92.92 | | computer | 74.71 | 83.72 | | swivel chair | 42.18 | 75.5 | | boat | 40.19 | 55.88 | | bar | 19.44 | 24.28 | | arcade machine | 45.15 | 48.36 | | hovel | 47.29 | 52.13 | | bus | 91.95 | 96.21 | | towel | 74.71 | 85.4 | | light | 60.87 | 76.45 | | truck | 44.13 | 59.45 | | tower | 21.18 | 38.42 | | chandelier | 68.65 | 87.79 | | awning | 36.8 | 48.34 | | streetlight | 39.0 | 56.17 | | booth | 35.31 | 35.87 | | television receiver | 69.86 | 78.88 | | airplane | 58.32 | 75.17 | | dirt track | 0.0 | 0.0 | | apparel | 24.25 | 60.46 | | pole | 24.79 | 45.75 | | land | 1.91 | 3.88 | | bannister | 15.22 | 32.92 | | escalator | 52.58 | 71.78 | | ottoman | 54.63 | 75.57 | | bottle | 28.89 | 42.19 | | buffet | 40.54 | 55.94 | | poster | 17.28 | 27.93 | | stage | 14.64 | 30.76 | | van | 39.03 | 59.0 | | ship | 5.4 | 7.72 | | fountain | 20.32 | 22.07 | | conveyer belt | 42.05 | 68.95 | | canopy | 26.93 | 41.08 | | washer | 66.65 | 75.23 | | plaything | 36.97 | 66.65 | | swimming pool | 14.31 | 36.08 | | stool | 48.1 | 70.26 | | barrel | 63.94 | 96.23 | | basket | 35.08 | 48.95 | | waterfall | 49.29 | 69.72 | | tent | 65.73 | 98.26 | | bag | 19.36 | 27.49 | | minibike | 61.91 | 91.06 | | cradle | 77.8 | 98.59 | | oven | 29.5 | 53.39 | | ball | 45.25 | 74.89 | | food | 61.29 | 85.94 | | step | 14.92 | 27.33 | | tank | 32.56 | 40.6 | | trade name | 33.1 | 44.51 | | microwave | 46.92 | 52.96 | | pot | 46.43 | 56.72 | | animal | 71.5 | 79.95 | | bicycle | 59.22 | 84.11 | | lake | 32.24 | 72.43 | | dishwasher | 69.8 | 83.6 | | screen | 57.9 | 92.01 | | blanket | 20.94 | 24.61 | | sculpture | 50.44 | 78.35 | | hood | 86.92 | 93.86 | | sconce | 52.92 | 70.79 | | vase | 43.45 | 78.32 | | traffic light | 31.29 | 75.55 | | tray | 17.28 | 27.36 | | ashcan | 41.43 | 68.6 | | fan | 58.24 | 86.48 | | pier | 24.46 | 28.46 | | crt screen | 5.47 | 14.29 | | plate | 63.2 | 84.5 | | monitor | 9.79 | 13.27 | | bulletin board | 20.22 | 24.2 | | shower | 12.41 | 29.1 | | radiator | 68.18 | 80.75 | | glass | 20.99 | 27.15 | | clock | 49.85 | 60.45 | | flag | 51.05 | 58.41 | +---------------------+-------+-------+ 2023-11-12 02:43:56,225 - mmseg - INFO - Summary: 2023-11-12 02:43:56,225 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 82.86 | 48.77 | 64.33 | +-------+-------+-------+ 2023-11-12 02:43:56,226 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 02:43:56,226 - mmseg - INFO - Iter(val) [250] aAcc: 0.8286, mIoU: 0.4877, mAcc: 0.6433, IoU.wall: 0.7757, IoU.building: 0.8128, IoU.sky: 0.9460, IoU.floor: 0.8326, IoU.tree: 0.7478, IoU.ceiling: 0.8529, IoU.road: 0.8328, IoU.bed : 0.9047, IoU.windowpane: 0.6062, IoU.grass: 0.7088, IoU.cabinet: 0.6000, IoU.sidewalk: 0.6431, IoU.person: 0.8457, IoU.earth: 0.3827, IoU.door: 0.4712, IoU.table: 0.6211, IoU.mountain: 0.5912, IoU.plant: 0.5305, IoU.curtain: 0.7912, IoU.chair: 0.6002, IoU.car: 0.8570, IoU.water: 0.4785, IoU.painting: 0.6883, IoU.sofa: 0.7029, IoU.shelf: 0.4221, IoU.house: 0.3345, IoU.sea: 0.6714, IoU.mirror: 0.6783, IoU.rug: 0.7099, IoU.field: 0.3487, IoU.armchair: 0.4618, IoU.seat: 0.5856, IoU.fence: 0.4258, IoU.desk: 0.5160, IoU.rock: 0.5309, IoU.wardrobe: 0.4597, IoU.lamp: 0.6886, IoU.bathtub: 0.7707, IoU.railing: 0.2977, IoU.cushion: 0.6328, IoU.base: 0.2430, IoU.box: 0.2747, IoU.column: 0.4561, IoU.signboard: 0.3832, IoU.chest of drawers: 0.4123, IoU.counter: 0.2977, IoU.sand: 0.3974, IoU.sink: 0.7590, IoU.skyscraper: 0.3828, IoU.fireplace: 0.6073, IoU.refrigerator: 0.7672, IoU.grandstand: 0.3832, IoU.path: 0.1859, IoU.stairs: 0.1520, IoU.runway: 0.7690, IoU.case: 0.5379, IoU.pool table: 0.9402, IoU.pillow: 0.5829, IoU.screen door: 0.6403, IoU.stairway: 0.2648, IoU.river: 0.2086, IoU.bridge: 0.7108, IoU.bookcase: 0.3330, IoU.blind: 0.3561, IoU.coffee table: 0.5987, IoU.toilet: 0.8356, IoU.flower: 0.4106, IoU.book: 0.4980, IoU.hill: 0.0686, IoU.bench: 0.4355, IoU.countertop: 0.5623, IoU.stove: 0.8373, IoU.palm: 0.5723, IoU.kitchen island: 0.4610, IoU.computer: 0.7471, IoU.swivel chair: 0.4218, IoU.boat: 0.4019, IoU.bar: 0.1944, IoU.arcade machine: 0.4515, IoU.hovel: 0.4729, IoU.bus: 0.9195, IoU.towel: 0.7471, IoU.light: 0.6087, IoU.truck: 0.4413, IoU.tower: 0.2118, IoU.chandelier: 0.6865, IoU.awning: 0.3680, IoU.streetlight: 0.3900, IoU.booth: 0.3531, IoU.television receiver: 0.6986, IoU.airplane: 0.5832, IoU.dirt track: 0.0000, IoU.apparel: 0.2425, IoU.pole: 0.2479, IoU.land: 0.0191, IoU.bannister: 0.1522, IoU.escalator: 0.5258, IoU.ottoman: 0.5463, IoU.bottle: 0.2889, IoU.buffet: 0.4054, IoU.poster: 0.1728, IoU.stage: 0.1464, IoU.van: 0.3903, IoU.ship: 0.0540, IoU.fountain: 0.2032, IoU.conveyer belt: 0.4205, IoU.canopy: 0.2693, IoU.washer: 0.6665, IoU.plaything: 0.3697, IoU.swimming pool: 0.1431, IoU.stool: 0.4810, IoU.barrel: 0.6394, IoU.basket: 0.3508, IoU.waterfall: 0.4929, IoU.tent: 0.6573, IoU.bag: 0.1936, IoU.minibike: 0.6191, IoU.cradle: 0.7780, IoU.oven: 0.2950, IoU.ball: 0.4525, IoU.food: 0.6129, IoU.step: 0.1492, IoU.tank: 0.3256, IoU.trade name: 0.3310, IoU.microwave: 0.4692, IoU.pot: 0.4643, IoU.animal: 0.7150, IoU.bicycle: 0.5922, IoU.lake: 0.3224, IoU.dishwasher: 0.6980, IoU.screen: 0.5790, IoU.blanket: 0.2094, IoU.sculpture: 0.5044, IoU.hood: 0.8692, IoU.sconce: 0.5292, IoU.vase: 0.4345, IoU.traffic light: 0.3129, IoU.tray: 0.1728, IoU.ashcan: 0.4143, IoU.fan: 0.5824, IoU.pier: 0.2446, IoU.crt screen: 0.0547, IoU.plate: 0.6320, IoU.monitor: 0.0979, IoU.bulletin board: 0.2022, IoU.shower: 0.1241, IoU.radiator: 0.6818, IoU.glass: 0.2099, IoU.clock: 0.4985, IoU.flag: 0.5105, Acc.wall: 0.8343, Acc.building: 0.9249, Acc.sky: 0.9740, Acc.floor: 0.8958, Acc.tree: 0.8848, Acc.ceiling: 0.9338, Acc.road: 0.8784, Acc.bed : 0.9565, Acc.windowpane: 0.7756, Acc.grass: 0.8546, Acc.cabinet: 0.7403, Acc.sidewalk: 0.8461, Acc.person: 0.9342, Acc.earth: 0.5492, Acc.door: 0.7188, Acc.table: 0.7957, Acc.mountain: 0.7206, Acc.plant: 0.6644, Acc.curtain: 0.8789, Acc.chair: 0.7218, Acc.car: 0.9302, Acc.water: 0.5503, Acc.painting: 0.8918, Acc.sofa: 0.8014, Acc.shelf: 0.5722, Acc.house: 0.3574, Acc.sea: 0.9460, Acc.mirror: 0.8605, Acc.rug: 0.8510, Acc.field: 0.4440, Acc.armchair: 0.7633, Acc.seat: 0.7778, Acc.fence: 0.7040, Acc.desk: 0.7449, Acc.rock: 0.8467, Acc.wardrobe: 0.7262, Acc.lamp: 0.8138, Acc.bathtub: 0.8555, Acc.railing: 0.4354, Acc.cushion: 0.7527, Acc.base: 0.4643, Acc.box: 0.4015, Acc.column: 0.6283, Acc.signboard: 0.5727, Acc.chest of drawers: 0.6912, Acc.counter: 0.3574, Acc.sand: 0.4880, Acc.sink: 0.8519, Acc.skyscraper: 0.4247, Acc.fireplace: 0.7955, Acc.refrigerator: 0.8905, Acc.grandstand: 0.7890, Acc.path: 0.2722, Acc.stairs: 0.1689, Acc.runway: 0.8948, Acc.case: 0.7527, Acc.pool table: 0.9696, Acc.pillow: 0.7393, Acc.screen door: 0.7014, Acc.stairway: 0.5070, Acc.river: 0.3982, Acc.bridge: 0.8839, Acc.bookcase: 0.4527, Acc.blind: 0.4362, Acc.coffee table: 0.8723, Acc.toilet: 0.8865, Acc.flower: 0.5876, Acc.book: 0.7837, Acc.hill: 0.1443, Acc.bench: 0.5654, Acc.countertop: 0.6741, Acc.stove: 0.9383, Acc.palm: 0.7198, Acc.kitchen island: 0.9292, Acc.computer: 0.8372, Acc.swivel chair: 0.7550, Acc.boat: 0.5588, Acc.bar: 0.2428, Acc.arcade machine: 0.4836, Acc.hovel: 0.5213, Acc.bus: 0.9621, Acc.towel: 0.8540, Acc.light: 0.7645, Acc.truck: 0.5945, Acc.tower: 0.3842, Acc.chandelier: 0.8779, Acc.awning: 0.4834, Acc.streetlight: 0.5617, Acc.booth: 0.3587, Acc.television receiver: 0.7888, Acc.airplane: 0.7517, Acc.dirt track: 0.0000, Acc.apparel: 0.6046, Acc.pole: 0.4575, Acc.land: 0.0388, Acc.bannister: 0.3292, Acc.escalator: 0.7178, Acc.ottoman: 0.7557, Acc.bottle: 0.4219, Acc.buffet: 0.5594, Acc.poster: 0.2793, Acc.stage: 0.3076, Acc.van: 0.5900, Acc.ship: 0.0772, Acc.fountain: 0.2207, Acc.conveyer belt: 0.6895, Acc.canopy: 0.4108, Acc.washer: 0.7523, Acc.plaything: 0.6665, Acc.swimming pool: 0.3608, Acc.stool: 0.7026, Acc.barrel: 0.9623, Acc.basket: 0.4895, Acc.waterfall: 0.6972, Acc.tent: 0.9826, Acc.bag: 0.2749, Acc.minibike: 0.9106, Acc.cradle: 0.9859, Acc.oven: 0.5339, Acc.ball: 0.7489, Acc.food: 0.8594, Acc.step: 0.2733, Acc.tank: 0.4060, Acc.trade name: 0.4451, Acc.microwave: 0.5296, Acc.pot: 0.5672, Acc.animal: 0.7995, Acc.bicycle: 0.8411, Acc.lake: 0.7243, Acc.dishwasher: 0.8360, Acc.screen: 0.9201, Acc.blanket: 0.2461, Acc.sculpture: 0.7835, Acc.hood: 0.9386, Acc.sconce: 0.7079, Acc.vase: 0.7832, Acc.traffic light: 0.7555, Acc.tray: 0.2736, Acc.ashcan: 0.6860, Acc.fan: 0.8648, Acc.pier: 0.2846, Acc.crt screen: 0.1429, Acc.plate: 0.8450, Acc.monitor: 0.1327, Acc.bulletin board: 0.2420, Acc.shower: 0.2910, Acc.radiator: 0.8075, Acc.glass: 0.2715, Acc.clock: 0.6045, Acc.flag: 0.5841 2023-11-12 02:44:20,413 - mmseg - INFO - Iter [28050/160000] lr: 8.247e-05, eta: 18:44:23, time: 0.879, data_time: 0.409, memory: 41146, decode.loss_cls: 0.4741, decode.loss_mask: 0.6195, decode.loss_dice: 0.9200, decode.d0.loss_cls: 1.4911, decode.d0.loss_mask: 0.6513, decode.d0.loss_dice: 1.0166, decode.d1.loss_cls: 0.5807, decode.d1.loss_mask: 0.6426, decode.d1.loss_dice: 0.9786, decode.d2.loss_cls: 0.5217, decode.d2.loss_mask: 0.6257, decode.d2.loss_dice: 0.9402, decode.d3.loss_cls: 0.5017, decode.d3.loss_mask: 0.6199, decode.d3.loss_dice: 0.9213, decode.d4.loss_cls: 0.4876, decode.d4.loss_mask: 0.6200, decode.d4.loss_dice: 0.9250, decode.d5.loss_cls: 0.4860, decode.d5.loss_mask: 0.6214, decode.d5.loss_dice: 0.9176, decode.d6.loss_cls: 0.4791, decode.d6.loss_mask: 0.6215, decode.d6.loss_dice: 0.9121, decode.d7.loss_cls: 0.4767, decode.d7.loss_mask: 0.6176, decode.d7.loss_dice: 0.9165, decode.d8.loss_cls: 0.4751, decode.d8.loss_mask: 0.6195, decode.d8.loss_dice: 0.9197, loss: 21.6001, grad_norm: 45.4212 2023-11-12 02:44:44,476 - mmseg - INFO - Iter [28100/160000] lr: 8.244e-05, eta: 18:43:51, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.5238, decode.loss_mask: 0.6375, decode.loss_dice: 0.9600, decode.d0.loss_cls: 1.5454, decode.d0.loss_mask: 0.6754, decode.d0.loss_dice: 1.0683, decode.d1.loss_cls: 0.6283, decode.d1.loss_mask: 0.6627, decode.d1.loss_dice: 1.0263, decode.d2.loss_cls: 0.5754, decode.d2.loss_mask: 0.6494, decode.d2.loss_dice: 0.9836, decode.d3.loss_cls: 0.5501, decode.d3.loss_mask: 0.6420, decode.d3.loss_dice: 0.9626, decode.d4.loss_cls: 0.5419, decode.d4.loss_mask: 0.6392, decode.d4.loss_dice: 0.9647, decode.d5.loss_cls: 0.5299, decode.d5.loss_mask: 0.6394, decode.d5.loss_dice: 0.9603, decode.d6.loss_cls: 0.5280, decode.d6.loss_mask: 0.6374, decode.d6.loss_dice: 0.9558, decode.d7.loss_cls: 0.5313, decode.d7.loss_mask: 0.6367, decode.d7.loss_dice: 0.9591, decode.d8.loss_cls: 0.5246, decode.d8.loss_mask: 0.6364, decode.d8.loss_dice: 0.9612, loss: 22.7368, grad_norm: 44.1875 2023-11-12 02:45:08,602 - mmseg - INFO - Iter [28150/160000] lr: 8.241e-05, eta: 18:43:18, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4907, decode.loss_mask: 0.6446, decode.loss_dice: 0.9563, decode.d0.loss_cls: 1.5241, decode.d0.loss_mask: 0.6799, decode.d0.loss_dice: 1.0378, decode.d1.loss_cls: 0.6026, decode.d1.loss_mask: 0.6660, decode.d1.loss_dice: 1.0059, decode.d2.loss_cls: 0.5349, decode.d2.loss_mask: 0.6576, decode.d2.loss_dice: 0.9812, decode.d3.loss_cls: 0.5192, decode.d3.loss_mask: 0.6475, decode.d3.loss_dice: 0.9612, decode.d4.loss_cls: 0.5073, decode.d4.loss_mask: 0.6491, decode.d4.loss_dice: 0.9619, decode.d5.loss_cls: 0.5123, decode.d5.loss_mask: 0.6473, decode.d5.loss_dice: 0.9582, decode.d6.loss_cls: 0.5034, decode.d6.loss_mask: 0.6424, decode.d6.loss_dice: 0.9575, decode.d7.loss_cls: 0.4945, decode.d7.loss_mask: 0.6451, decode.d7.loss_dice: 0.9588, decode.d8.loss_cls: 0.4933, decode.d8.loss_mask: 0.6462, decode.d8.loss_dice: 0.9578, loss: 22.4444, grad_norm: 46.5968 2023-11-12 02:45:32,737 - mmseg - INFO - Iter [28200/160000] lr: 8.238e-05, eta: 18:42:46, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4940, decode.loss_mask: 0.6101, decode.loss_dice: 0.9070, decode.d0.loss_cls: 1.5024, decode.d0.loss_mask: 0.6390, decode.d0.loss_dice: 1.0088, decode.d1.loss_cls: 0.5921, decode.d1.loss_mask: 0.6285, decode.d1.loss_dice: 0.9689, decode.d2.loss_cls: 0.5346, decode.d2.loss_mask: 0.6149, decode.d2.loss_dice: 0.9388, decode.d3.loss_cls: 0.5164, decode.d3.loss_mask: 0.6106, decode.d3.loss_dice: 0.9148, decode.d4.loss_cls: 0.5111, decode.d4.loss_mask: 0.6106, decode.d4.loss_dice: 0.9117, decode.d5.loss_cls: 0.5013, decode.d5.loss_mask: 0.6097, decode.d5.loss_dice: 0.9143, decode.d6.loss_cls: 0.4902, decode.d6.loss_mask: 0.6115, decode.d6.loss_dice: 0.9101, decode.d7.loss_cls: 0.4896, decode.d7.loss_mask: 0.6128, decode.d7.loss_dice: 0.9092, decode.d8.loss_cls: 0.4874, decode.d8.loss_mask: 0.6135, decode.d8.loss_dice: 0.9146, loss: 21.5788, grad_norm: 45.0049 2023-11-12 02:45:57,074 - mmseg - INFO - Iter [28250/160000] lr: 8.234e-05, eta: 18:42:15, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5095, decode.loss_mask: 0.6309, decode.loss_dice: 0.9391, decode.d0.loss_cls: 1.5114, decode.d0.loss_mask: 0.6681, decode.d0.loss_dice: 1.0568, decode.d1.loss_cls: 0.6003, decode.d1.loss_mask: 0.6553, decode.d1.loss_dice: 1.0018, decode.d2.loss_cls: 0.5374, decode.d2.loss_mask: 0.6463, decode.d2.loss_dice: 0.9710, decode.d3.loss_cls: 0.5193, decode.d3.loss_mask: 0.6361, decode.d3.loss_dice: 0.9486, decode.d4.loss_cls: 0.5138, decode.d4.loss_mask: 0.6323, decode.d4.loss_dice: 0.9484, decode.d5.loss_cls: 0.5038, decode.d5.loss_mask: 0.6339, decode.d5.loss_dice: 0.9464, decode.d6.loss_cls: 0.5022, decode.d6.loss_mask: 0.6341, decode.d6.loss_dice: 0.9417, decode.d7.loss_cls: 0.4978, decode.d7.loss_mask: 0.6318, decode.d7.loss_dice: 0.9427, decode.d8.loss_cls: 0.5057, decode.d8.loss_mask: 0.6343, decode.d8.loss_dice: 0.9428, loss: 22.2436, grad_norm: 49.9996 2023-11-12 02:46:21,441 - mmseg - INFO - Iter [28300/160000] lr: 8.231e-05, eta: 18:41:44, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4613, decode.loss_mask: 0.6136, decode.loss_dice: 0.9054, decode.d0.loss_cls: 1.4827, decode.d0.loss_mask: 0.6502, decode.d0.loss_dice: 0.9962, decode.d1.loss_cls: 0.5708, decode.d1.loss_mask: 0.6361, decode.d1.loss_dice: 0.9551, decode.d2.loss_cls: 0.5093, decode.d2.loss_mask: 0.6237, decode.d2.loss_dice: 0.9253, decode.d3.loss_cls: 0.4846, decode.d3.loss_mask: 0.6133, decode.d3.loss_dice: 0.9057, decode.d4.loss_cls: 0.4803, decode.d4.loss_mask: 0.6141, decode.d4.loss_dice: 0.9104, decode.d5.loss_cls: 0.4696, decode.d5.loss_mask: 0.6164, decode.d5.loss_dice: 0.9120, decode.d6.loss_cls: 0.4664, decode.d6.loss_mask: 0.6134, decode.d6.loss_dice: 0.9022, decode.d7.loss_cls: 0.4709, decode.d7.loss_mask: 0.6118, decode.d7.loss_dice: 0.9028, decode.d8.loss_cls: 0.4661, decode.d8.loss_mask: 0.6129, decode.d8.loss_dice: 0.9066, loss: 21.2896, grad_norm: 44.9982 2023-11-12 02:46:45,507 - mmseg - INFO - Iter [28350/160000] lr: 8.228e-05, eta: 18:41:11, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4873, decode.loss_mask: 0.6361, decode.loss_dice: 0.9348, decode.d0.loss_cls: 1.5074, decode.d0.loss_mask: 0.6700, decode.d0.loss_dice: 1.0457, decode.d1.loss_cls: 0.5875, decode.d1.loss_mask: 0.6595, decode.d1.loss_dice: 1.0030, decode.d2.loss_cls: 0.5344, decode.d2.loss_mask: 0.6458, decode.d2.loss_dice: 0.9618, decode.d3.loss_cls: 0.5118, decode.d3.loss_mask: 0.6374, decode.d3.loss_dice: 0.9391, decode.d4.loss_cls: 0.4998, decode.d4.loss_mask: 0.6392, decode.d4.loss_dice: 0.9420, decode.d5.loss_cls: 0.4952, decode.d5.loss_mask: 0.6411, decode.d5.loss_dice: 0.9413, decode.d6.loss_cls: 0.4909, decode.d6.loss_mask: 0.6362, decode.d6.loss_dice: 0.9348, decode.d7.loss_cls: 0.4921, decode.d7.loss_mask: 0.6366, decode.d7.loss_dice: 0.9358, decode.d8.loss_cls: 0.4885, decode.d8.loss_mask: 0.6373, decode.d8.loss_dice: 0.9396, loss: 22.1121, grad_norm: 45.6792 2023-11-12 02:47:09,551 - mmseg - INFO - Iter [28400/160000] lr: 8.225e-05, eta: 18:40:39, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4907, decode.loss_mask: 0.6338, decode.loss_dice: 0.9038, decode.d0.loss_cls: 1.4954, decode.d0.loss_mask: 0.6707, decode.d0.loss_dice: 1.0143, decode.d1.loss_cls: 0.5941, decode.d1.loss_mask: 0.6543, decode.d1.loss_dice: 0.9660, decode.d2.loss_cls: 0.5312, decode.d2.loss_mask: 0.6446, decode.d2.loss_dice: 0.9319, decode.d3.loss_cls: 0.5157, decode.d3.loss_mask: 0.6385, decode.d3.loss_dice: 0.9093, decode.d4.loss_cls: 0.5068, decode.d4.loss_mask: 0.6324, decode.d4.loss_dice: 0.9117, decode.d5.loss_cls: 0.4987, decode.d5.loss_mask: 0.6310, decode.d5.loss_dice: 0.9113, decode.d6.loss_cls: 0.4881, decode.d6.loss_mask: 0.6319, decode.d6.loss_dice: 0.9067, decode.d7.loss_cls: 0.4931, decode.d7.loss_mask: 0.6327, decode.d7.loss_dice: 0.9009, decode.d8.loss_cls: 0.4920, decode.d8.loss_mask: 0.6307, decode.d8.loss_dice: 0.9041, loss: 21.7663, grad_norm: 50.1442 2023-11-12 02:47:34,370 - mmseg - INFO - Iter [28450/160000] lr: 8.222e-05, eta: 18:40:10, time: 0.496, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5231, decode.loss_mask: 0.6297, decode.loss_dice: 0.9344, decode.d0.loss_cls: 1.5287, decode.d0.loss_mask: 0.6615, decode.d0.loss_dice: 1.0453, decode.d1.loss_cls: 0.6075, decode.d1.loss_mask: 0.6544, decode.d1.loss_dice: 1.0000, decode.d2.loss_cls: 0.5469, decode.d2.loss_mask: 0.6485, decode.d2.loss_dice: 0.9674, decode.d3.loss_cls: 0.5311, decode.d3.loss_mask: 0.6373, decode.d3.loss_dice: 0.9446, decode.d4.loss_cls: 0.5219, decode.d4.loss_mask: 0.6402, decode.d4.loss_dice: 0.9493, decode.d5.loss_cls: 0.5241, decode.d5.loss_mask: 0.6357, decode.d5.loss_dice: 0.9466, decode.d6.loss_cls: 0.5249, decode.d6.loss_mask: 0.6282, decode.d6.loss_dice: 0.9357, decode.d7.loss_cls: 0.5222, decode.d7.loss_mask: 0.6340, decode.d7.loss_dice: 0.9440, decode.d8.loss_cls: 0.5227, decode.d8.loss_mask: 0.6340, decode.d8.loss_dice: 0.9454, loss: 22.3695, grad_norm: 48.5150 2023-11-12 02:47:58,491 - mmseg - INFO - Iter [28500/160000] lr: 8.219e-05, eta: 18:39:38, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4794, decode.loss_mask: 0.6162, decode.loss_dice: 0.8964, decode.d0.loss_cls: 1.4634, decode.d0.loss_mask: 0.6552, decode.d0.loss_dice: 1.0021, decode.d1.loss_cls: 0.5834, decode.d1.loss_mask: 0.6480, decode.d1.loss_dice: 0.9564, decode.d2.loss_cls: 0.5186, decode.d2.loss_mask: 0.6273, decode.d2.loss_dice: 0.9304, decode.d3.loss_cls: 0.4951, decode.d3.loss_mask: 0.6202, decode.d3.loss_dice: 0.9007, decode.d4.loss_cls: 0.4850, decode.d4.loss_mask: 0.6182, decode.d4.loss_dice: 0.9046, decode.d5.loss_cls: 0.4757, decode.d5.loss_mask: 0.6247, decode.d5.loss_dice: 0.9116, decode.d6.loss_cls: 0.4766, decode.d6.loss_mask: 0.6177, decode.d6.loss_dice: 0.8992, decode.d7.loss_cls: 0.4722, decode.d7.loss_mask: 0.6141, decode.d7.loss_dice: 0.9019, decode.d8.loss_cls: 0.4720, decode.d8.loss_mask: 0.6140, decode.d8.loss_dice: 0.9019, loss: 21.3821, grad_norm: 48.8772 2023-11-12 02:48:22,807 - mmseg - INFO - Iter [28550/160000] lr: 8.216e-05, eta: 18:39:07, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5022, decode.loss_mask: 0.6296, decode.loss_dice: 0.9220, decode.d0.loss_cls: 1.5106, decode.d0.loss_mask: 0.6727, decode.d0.loss_dice: 1.0366, decode.d1.loss_cls: 0.5908, decode.d1.loss_mask: 0.6620, decode.d1.loss_dice: 1.0037, decode.d2.loss_cls: 0.5408, decode.d2.loss_mask: 0.6428, decode.d2.loss_dice: 0.9648, decode.d3.loss_cls: 0.5156, decode.d3.loss_mask: 0.6371, decode.d3.loss_dice: 0.9327, decode.d4.loss_cls: 0.5065, decode.d4.loss_mask: 0.6347, decode.d4.loss_dice: 0.9358, decode.d5.loss_cls: 0.5100, decode.d5.loss_mask: 0.6317, decode.d5.loss_dice: 0.9339, decode.d6.loss_cls: 0.5049, decode.d6.loss_mask: 0.6275, decode.d6.loss_dice: 0.9274, decode.d7.loss_cls: 0.4993, decode.d7.loss_mask: 0.6311, decode.d7.loss_dice: 0.9231, decode.d8.loss_cls: 0.4943, decode.d8.loss_mask: 0.6333, decode.d8.loss_dice: 0.9301, loss: 22.0874, grad_norm: 46.3484 2023-11-12 02:48:47,049 - mmseg - INFO - Iter [28600/160000] lr: 8.213e-05, eta: 18:38:35, time: 0.485, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4979, decode.loss_mask: 0.6487, decode.loss_dice: 0.9409, decode.d0.loss_cls: 1.4782, decode.d0.loss_mask: 0.6879, decode.d0.loss_dice: 1.0523, decode.d1.loss_cls: 0.6117, decode.d1.loss_mask: 0.6698, decode.d1.loss_dice: 1.0001, decode.d2.loss_cls: 0.5499, decode.d2.loss_mask: 0.6566, decode.d2.loss_dice: 0.9646, decode.d3.loss_cls: 0.5298, decode.d3.loss_mask: 0.6473, decode.d3.loss_dice: 0.9446, decode.d4.loss_cls: 0.5106, decode.d4.loss_mask: 0.6514, decode.d4.loss_dice: 0.9447, decode.d5.loss_cls: 0.5072, decode.d5.loss_mask: 0.6543, decode.d5.loss_dice: 0.9394, decode.d6.loss_cls: 0.5039, decode.d6.loss_mask: 0.6501, decode.d6.loss_dice: 0.9375, decode.d7.loss_cls: 0.4982, decode.d7.loss_mask: 0.6489, decode.d7.loss_dice: 0.9388, decode.d8.loss_cls: 0.4954, decode.d8.loss_mask: 0.6488, decode.d8.loss_dice: 0.9404, loss: 22.3498, grad_norm: 48.1610 2023-11-12 02:49:11,450 - mmseg - INFO - Iter [28650/160000] lr: 8.209e-05, eta: 18:38:04, time: 0.488, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5076, decode.loss_mask: 0.6357, decode.loss_dice: 0.9307, decode.d0.loss_cls: 1.5189, decode.d0.loss_mask: 0.6676, decode.d0.loss_dice: 1.0382, decode.d1.loss_cls: 0.6208, decode.d1.loss_mask: 0.6560, decode.d1.loss_dice: 0.9859, decode.d2.loss_cls: 0.5588, decode.d2.loss_mask: 0.6465, decode.d2.loss_dice: 0.9541, decode.d3.loss_cls: 0.5315, decode.d3.loss_mask: 0.6423, decode.d3.loss_dice: 0.9391, decode.d4.loss_cls: 0.5191, decode.d4.loss_mask: 0.6418, decode.d4.loss_dice: 0.9390, decode.d5.loss_cls: 0.5159, decode.d5.loss_mask: 0.6379, decode.d5.loss_dice: 0.9341, decode.d6.loss_cls: 0.5188, decode.d6.loss_mask: 0.6365, decode.d6.loss_dice: 0.9230, decode.d7.loss_cls: 0.5114, decode.d7.loss_mask: 0.6362, decode.d7.loss_dice: 0.9300, decode.d8.loss_cls: 0.5130, decode.d8.loss_mask: 0.6351, decode.d8.loss_dice: 0.9288, loss: 22.2544, grad_norm: 48.0282 2023-11-12 02:49:35,749 - mmseg - INFO - Iter [28700/160000] lr: 8.206e-05, eta: 18:37:33, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4773, decode.loss_mask: 0.6332, decode.loss_dice: 0.9136, decode.d0.loss_cls: 1.4463, decode.d0.loss_mask: 0.6684, decode.d0.loss_dice: 1.0121, decode.d1.loss_cls: 0.5593, decode.d1.loss_mask: 0.6565, decode.d1.loss_dice: 0.9657, decode.d2.loss_cls: 0.5134, decode.d2.loss_mask: 0.6406, decode.d2.loss_dice: 0.9402, decode.d3.loss_cls: 0.4946, decode.d3.loss_mask: 0.6323, decode.d3.loss_dice: 0.9154, decode.d4.loss_cls: 0.4885, decode.d4.loss_mask: 0.6324, decode.d4.loss_dice: 0.9146, decode.d5.loss_cls: 0.4810, decode.d5.loss_mask: 0.6335, decode.d5.loss_dice: 0.9146, decode.d6.loss_cls: 0.4811, decode.d6.loss_mask: 0.6313, decode.d6.loss_dice: 0.9013, decode.d7.loss_cls: 0.4775, decode.d7.loss_mask: 0.6283, decode.d7.loss_dice: 0.9069, decode.d8.loss_cls: 0.4806, decode.d8.loss_mask: 0.6302, decode.d8.loss_dice: 0.9126, loss: 21.5834, grad_norm: 47.0956 2023-11-12 02:49:59,937 - mmseg - INFO - Iter [28750/160000] lr: 8.203e-05, eta: 18:37:01, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4784, decode.loss_mask: 0.6256, decode.loss_dice: 0.9062, decode.d0.loss_cls: 1.4817, decode.d0.loss_mask: 0.6600, decode.d0.loss_dice: 1.0013, decode.d1.loss_cls: 0.5799, decode.d1.loss_mask: 0.6486, decode.d1.loss_dice: 0.9641, decode.d2.loss_cls: 0.5259, decode.d2.loss_mask: 0.6279, decode.d2.loss_dice: 0.9298, decode.d3.loss_cls: 0.5045, decode.d3.loss_mask: 0.6245, decode.d3.loss_dice: 0.9128, decode.d4.loss_cls: 0.4955, decode.d4.loss_mask: 0.6260, decode.d4.loss_dice: 0.9130, decode.d5.loss_cls: 0.4854, decode.d5.loss_mask: 0.6277, decode.d5.loss_dice: 0.9081, decode.d6.loss_cls: 0.4838, decode.d6.loss_mask: 0.6262, decode.d6.loss_dice: 0.9007, decode.d7.loss_cls: 0.4842, decode.d7.loss_mask: 0.6241, decode.d7.loss_dice: 0.9042, decode.d8.loss_cls: 0.4768, decode.d8.loss_mask: 0.6227, decode.d8.loss_dice: 0.9099, loss: 21.5594, grad_norm: 44.7822 2023-11-12 02:50:24,092 - mmseg - INFO - Iter [28800/160000] lr: 8.200e-05, eta: 18:36:30, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5050, decode.loss_mask: 0.6201, decode.loss_dice: 0.9015, decode.d0.loss_cls: 1.5017, decode.d0.loss_mask: 0.6633, decode.d0.loss_dice: 1.0115, decode.d1.loss_cls: 0.5938, decode.d1.loss_mask: 0.6444, decode.d1.loss_dice: 0.9666, decode.d2.loss_cls: 0.5534, decode.d2.loss_mask: 0.6314, decode.d2.loss_dice: 0.9272, decode.d3.loss_cls: 0.5292, decode.d3.loss_mask: 0.6223, decode.d3.loss_dice: 0.9133, decode.d4.loss_cls: 0.5188, decode.d4.loss_mask: 0.6204, decode.d4.loss_dice: 0.9100, decode.d5.loss_cls: 0.5145, decode.d5.loss_mask: 0.6202, decode.d5.loss_dice: 0.9089, decode.d6.loss_cls: 0.5107, decode.d6.loss_mask: 0.6222, decode.d6.loss_dice: 0.9005, decode.d7.loss_cls: 0.5048, decode.d7.loss_mask: 0.6217, decode.d7.loss_dice: 0.9058, decode.d8.loss_cls: 0.5038, decode.d8.loss_mask: 0.6218, decode.d8.loss_dice: 0.9020, loss: 21.7709, grad_norm: 50.1549 2023-11-12 02:50:48,190 - mmseg - INFO - Iter [28850/160000] lr: 8.197e-05, eta: 18:35:58, time: 0.482, data_time: 0.015, memory: 41146, decode.loss_cls: 0.5077, decode.loss_mask: 0.6403, decode.loss_dice: 0.9199, decode.d0.loss_cls: 1.5285, decode.d0.loss_mask: 0.6777, decode.d0.loss_dice: 1.0246, decode.d1.loss_cls: 0.6071, decode.d1.loss_mask: 0.6584, decode.d1.loss_dice: 0.9861, decode.d2.loss_cls: 0.5428, decode.d2.loss_mask: 0.6570, decode.d2.loss_dice: 0.9584, decode.d3.loss_cls: 0.5312, decode.d3.loss_mask: 0.6395, decode.d3.loss_dice: 0.9309, decode.d4.loss_cls: 0.5145, decode.d4.loss_mask: 0.6417, decode.d4.loss_dice: 0.9250, decode.d5.loss_cls: 0.5157, decode.d5.loss_mask: 0.6403, decode.d5.loss_dice: 0.9229, decode.d6.loss_cls: 0.5121, decode.d6.loss_mask: 0.6392, decode.d6.loss_dice: 0.9185, decode.d7.loss_cls: 0.5093, decode.d7.loss_mask: 0.6400, decode.d7.loss_dice: 0.9191, decode.d8.loss_cls: 0.5015, decode.d8.loss_mask: 0.6388, decode.d8.loss_dice: 0.9188, loss: 22.1675, grad_norm: 51.7902 2023-11-12 02:51:12,184 - mmseg - INFO - Iter [28900/160000] lr: 8.194e-05, eta: 18:35:25, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4736, decode.loss_mask: 0.6159, decode.loss_dice: 0.9027, decode.d0.loss_cls: 1.4736, decode.d0.loss_mask: 0.6535, decode.d0.loss_dice: 1.0169, decode.d1.loss_cls: 0.5730, decode.d1.loss_mask: 0.6417, decode.d1.loss_dice: 0.9692, decode.d2.loss_cls: 0.5195, decode.d2.loss_mask: 0.6249, decode.d2.loss_dice: 0.9263, decode.d3.loss_cls: 0.4929, decode.d3.loss_mask: 0.6227, decode.d3.loss_dice: 0.9139, decode.d4.loss_cls: 0.4817, decode.d4.loss_mask: 0.6253, decode.d4.loss_dice: 0.9161, decode.d5.loss_cls: 0.4741, decode.d5.loss_mask: 0.6185, decode.d5.loss_dice: 0.9157, decode.d6.loss_cls: 0.4727, decode.d6.loss_mask: 0.6167, decode.d6.loss_dice: 0.9046, decode.d7.loss_cls: 0.4720, decode.d7.loss_mask: 0.6134, decode.d7.loss_dice: 0.9078, decode.d8.loss_cls: 0.4624, decode.d8.loss_mask: 0.6165, decode.d8.loss_dice: 0.9086, loss: 21.4262, grad_norm: 47.5827 2023-11-12 02:51:36,240 - mmseg - INFO - Iter [28950/160000] lr: 8.191e-05, eta: 18:34:53, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5149, decode.loss_mask: 0.6292, decode.loss_dice: 0.9378, decode.d0.loss_cls: 1.5027, decode.d0.loss_mask: 0.6583, decode.d0.loss_dice: 1.0408, decode.d1.loss_cls: 0.6047, decode.d1.loss_mask: 0.6538, decode.d1.loss_dice: 1.0078, decode.d2.loss_cls: 0.5563, decode.d2.loss_mask: 0.6393, decode.d2.loss_dice: 0.9676, decode.d3.loss_cls: 0.5361, decode.d3.loss_mask: 0.6313, decode.d3.loss_dice: 0.9471, decode.d4.loss_cls: 0.5265, decode.d4.loss_mask: 0.6312, decode.d4.loss_dice: 0.9500, decode.d5.loss_cls: 0.5283, decode.d5.loss_mask: 0.6287, decode.d5.loss_dice: 0.9429, decode.d6.loss_cls: 0.5268, decode.d6.loss_mask: 0.6259, decode.d6.loss_dice: 0.9375, decode.d7.loss_cls: 0.5177, decode.d7.loss_mask: 0.6277, decode.d7.loss_dice: 0.9398, decode.d8.loss_cls: 0.5093, decode.d8.loss_mask: 0.6312, decode.d8.loss_dice: 0.9425, loss: 22.2937, grad_norm: 48.4708 2023-11-12 02:52:00,067 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 02:52:00,067 - mmseg - INFO - Iter [29000/160000] lr: 8.188e-05, eta: 18:34:20, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5088, decode.loss_mask: 0.6360, decode.loss_dice: 0.9220, decode.d0.loss_cls: 1.4998, decode.d0.loss_mask: 0.6679, decode.d0.loss_dice: 1.0172, decode.d1.loss_cls: 0.5986, decode.d1.loss_mask: 0.6619, decode.d1.loss_dice: 0.9953, decode.d2.loss_cls: 0.5589, decode.d2.loss_mask: 0.6425, decode.d2.loss_dice: 0.9551, decode.d3.loss_cls: 0.5395, decode.d3.loss_mask: 0.6420, decode.d3.loss_dice: 0.9352, decode.d4.loss_cls: 0.5169, decode.d4.loss_mask: 0.6374, decode.d4.loss_dice: 0.9287, decode.d5.loss_cls: 0.5134, decode.d5.loss_mask: 0.6384, decode.d5.loss_dice: 0.9340, decode.d6.loss_cls: 0.5130, decode.d6.loss_mask: 0.6380, decode.d6.loss_dice: 0.9223, decode.d7.loss_cls: 0.5114, decode.d7.loss_mask: 0.6378, decode.d7.loss_dice: 0.9218, decode.d8.loss_cls: 0.5038, decode.d8.loss_mask: 0.6371, decode.d8.loss_dice: 0.9272, loss: 22.1618, grad_norm: 49.7809 2023-11-12 02:52:26,447 - mmseg - INFO - Iter [29050/160000] lr: 8.184e-05, eta: 18:33:58, time: 0.528, data_time: 0.058, memory: 41146, decode.loss_cls: 0.5080, decode.loss_mask: 0.6329, decode.loss_dice: 0.9403, decode.d0.loss_cls: 1.5240, decode.d0.loss_mask: 0.6628, decode.d0.loss_dice: 1.0281, decode.d1.loss_cls: 0.6036, decode.d1.loss_mask: 0.6531, decode.d1.loss_dice: 0.9960, decode.d2.loss_cls: 0.5500, decode.d2.loss_mask: 0.6407, decode.d2.loss_dice: 0.9654, decode.d3.loss_cls: 0.5397, decode.d3.loss_mask: 0.6333, decode.d3.loss_dice: 0.9396, decode.d4.loss_cls: 0.5249, decode.d4.loss_mask: 0.6306, decode.d4.loss_dice: 0.9421, decode.d5.loss_cls: 0.5136, decode.d5.loss_mask: 0.6330, decode.d5.loss_dice: 0.9401, decode.d6.loss_cls: 0.5145, decode.d6.loss_mask: 0.6312, decode.d6.loss_dice: 0.9363, decode.d7.loss_cls: 0.5152, decode.d7.loss_mask: 0.6294, decode.d7.loss_dice: 0.9361, decode.d8.loss_cls: 0.5092, decode.d8.loss_mask: 0.6349, decode.d8.loss_dice: 0.9410, loss: 22.2494, grad_norm: 51.3628 2023-11-12 02:52:50,848 - mmseg - INFO - Iter [29100/160000] lr: 8.181e-05, eta: 18:33:27, time: 0.488, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4860, decode.loss_mask: 0.6271, decode.loss_dice: 0.9382, decode.d0.loss_cls: 1.5268, decode.d0.loss_mask: 0.6630, decode.d0.loss_dice: 1.0360, decode.d1.loss_cls: 0.5983, decode.d1.loss_mask: 0.6512, decode.d1.loss_dice: 1.0057, decode.d2.loss_cls: 0.5370, decode.d2.loss_mask: 0.6378, decode.d2.loss_dice: 0.9686, decode.d3.loss_cls: 0.5089, decode.d3.loss_mask: 0.6300, decode.d3.loss_dice: 0.9526, decode.d4.loss_cls: 0.5011, decode.d4.loss_mask: 0.6294, decode.d4.loss_dice: 0.9548, decode.d5.loss_cls: 0.4918, decode.d5.loss_mask: 0.6319, decode.d5.loss_dice: 0.9473, decode.d6.loss_cls: 0.4928, decode.d6.loss_mask: 0.6276, decode.d6.loss_dice: 0.9366, decode.d7.loss_cls: 0.4806, decode.d7.loss_mask: 0.6298, decode.d7.loss_dice: 0.9433, decode.d8.loss_cls: 0.4845, decode.d8.loss_mask: 0.6255, decode.d8.loss_dice: 0.9413, loss: 22.0855, grad_norm: 48.0041 2023-11-12 02:53:14,990 - mmseg - INFO - Iter [29150/160000] lr: 8.178e-05, eta: 18:32:56, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4713, decode.loss_mask: 0.6040, decode.loss_dice: 0.8991, decode.d0.loss_cls: 1.4849, decode.d0.loss_mask: 0.6371, decode.d0.loss_dice: 1.0031, decode.d1.loss_cls: 0.5751, decode.d1.loss_mask: 0.6298, decode.d1.loss_dice: 0.9530, decode.d2.loss_cls: 0.5118, decode.d2.loss_mask: 0.6146, decode.d2.loss_dice: 0.9303, decode.d3.loss_cls: 0.4939, decode.d3.loss_mask: 0.6090, decode.d3.loss_dice: 0.9107, decode.d4.loss_cls: 0.4891, decode.d4.loss_mask: 0.6075, decode.d4.loss_dice: 0.9041, decode.d5.loss_cls: 0.4782, decode.d5.loss_mask: 0.6055, decode.d5.loss_dice: 0.9111, decode.d6.loss_cls: 0.4719, decode.d6.loss_mask: 0.6048, decode.d6.loss_dice: 0.9001, decode.d7.loss_cls: 0.4686, decode.d7.loss_mask: 0.6037, decode.d7.loss_dice: 0.9015, decode.d8.loss_cls: 0.4654, decode.d8.loss_mask: 0.6082, decode.d8.loss_dice: 0.9032, loss: 21.2506, grad_norm: 48.5684 2023-11-12 02:53:39,050 - mmseg - INFO - Iter [29200/160000] lr: 8.175e-05, eta: 18:32:24, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4538, decode.loss_mask: 0.6289, decode.loss_dice: 0.9170, decode.d0.loss_cls: 1.4457, decode.d0.loss_mask: 0.6666, decode.d0.loss_dice: 1.0027, decode.d1.loss_cls: 0.5476, decode.d1.loss_mask: 0.6528, decode.d1.loss_dice: 0.9717, decode.d2.loss_cls: 0.4963, decode.d2.loss_mask: 0.6385, decode.d2.loss_dice: 0.9354, decode.d3.loss_cls: 0.4818, decode.d3.loss_mask: 0.6333, decode.d3.loss_dice: 0.9175, decode.d4.loss_cls: 0.4624, decode.d4.loss_mask: 0.6319, decode.d4.loss_dice: 0.9177, decode.d5.loss_cls: 0.4524, decode.d5.loss_mask: 0.6309, decode.d5.loss_dice: 0.9167, decode.d6.loss_cls: 0.4577, decode.d6.loss_mask: 0.6303, decode.d6.loss_dice: 0.9141, decode.d7.loss_cls: 0.4502, decode.d7.loss_mask: 0.6298, decode.d7.loss_dice: 0.9142, decode.d8.loss_cls: 0.4460, decode.d8.loss_mask: 0.6315, decode.d8.loss_dice: 0.9191, loss: 21.3947, grad_norm: 48.1073 2023-11-12 02:54:03,023 - mmseg - INFO - Iter [29250/160000] lr: 8.172e-05, eta: 18:31:51, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4749, decode.loss_mask: 0.5983, decode.loss_dice: 0.9004, decode.d0.loss_cls: 1.5116, decode.d0.loss_mask: 0.6354, decode.d0.loss_dice: 1.0000, decode.d1.loss_cls: 0.5804, decode.d1.loss_mask: 0.6273, decode.d1.loss_dice: 0.9570, decode.d2.loss_cls: 0.5192, decode.d2.loss_mask: 0.6123, decode.d2.loss_dice: 0.9249, decode.d3.loss_cls: 0.4975, decode.d3.loss_mask: 0.6059, decode.d3.loss_dice: 0.9053, decode.d4.loss_cls: 0.4906, decode.d4.loss_mask: 0.6027, decode.d4.loss_dice: 0.9106, decode.d5.loss_cls: 0.4799, decode.d5.loss_mask: 0.6041, decode.d5.loss_dice: 0.9119, decode.d6.loss_cls: 0.4824, decode.d6.loss_mask: 0.6022, decode.d6.loss_dice: 0.9009, decode.d7.loss_cls: 0.4792, decode.d7.loss_mask: 0.6011, decode.d7.loss_dice: 0.9006, decode.d8.loss_cls: 0.4732, decode.d8.loss_mask: 0.6007, decode.d8.loss_dice: 0.9038, loss: 21.2943, grad_norm: 43.7369 2023-11-12 02:54:26,925 - mmseg - INFO - Iter [29300/160000] lr: 8.169e-05, eta: 18:31:19, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4705, decode.loss_mask: 0.6278, decode.loss_dice: 0.8931, decode.d0.loss_cls: 1.4857, decode.d0.loss_mask: 0.6550, decode.d0.loss_dice: 0.9997, decode.d1.loss_cls: 0.5783, decode.d1.loss_mask: 0.6506, decode.d1.loss_dice: 0.9521, decode.d2.loss_cls: 0.5123, decode.d2.loss_mask: 0.6356, decode.d2.loss_dice: 0.9191, decode.d3.loss_cls: 0.4951, decode.d3.loss_mask: 0.6335, decode.d3.loss_dice: 0.8956, decode.d4.loss_cls: 0.4857, decode.d4.loss_mask: 0.6331, decode.d4.loss_dice: 0.8947, decode.d5.loss_cls: 0.4796, decode.d5.loss_mask: 0.6318, decode.d5.loss_dice: 0.8966, decode.d6.loss_cls: 0.4795, decode.d6.loss_mask: 0.6274, decode.d6.loss_dice: 0.8885, decode.d7.loss_cls: 0.4687, decode.d7.loss_mask: 0.6304, decode.d7.loss_dice: 0.8910, decode.d8.loss_cls: 0.4751, decode.d8.loss_mask: 0.6276, decode.d8.loss_dice: 0.8902, loss: 21.4039, grad_norm: 46.8099 2023-11-12 02:54:51,001 - mmseg - INFO - Iter [29350/160000] lr: 8.166e-05, eta: 18:30:47, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4805, decode.loss_mask: 0.6144, decode.loss_dice: 0.9329, decode.d0.loss_cls: 1.4949, decode.d0.loss_mask: 0.6503, decode.d0.loss_dice: 1.0340, decode.d1.loss_cls: 0.5777, decode.d1.loss_mask: 0.6372, decode.d1.loss_dice: 0.9913, decode.d2.loss_cls: 0.5280, decode.d2.loss_mask: 0.6208, decode.d2.loss_dice: 0.9536, decode.d3.loss_cls: 0.5008, decode.d3.loss_mask: 0.6210, decode.d3.loss_dice: 0.9370, decode.d4.loss_cls: 0.4901, decode.d4.loss_mask: 0.6194, decode.d4.loss_dice: 0.9414, decode.d5.loss_cls: 0.4899, decode.d5.loss_mask: 0.6190, decode.d5.loss_dice: 0.9430, decode.d6.loss_cls: 0.4860, decode.d6.loss_mask: 0.6144, decode.d6.loss_dice: 0.9393, decode.d7.loss_cls: 0.4781, decode.d7.loss_mask: 0.6133, decode.d7.loss_dice: 0.9336, decode.d8.loss_cls: 0.4799, decode.d8.loss_mask: 0.6181, decode.d8.loss_dice: 0.9318, loss: 21.7718, grad_norm: 47.4360 2023-11-12 02:55:15,006 - mmseg - INFO - Iter [29400/160000] lr: 8.163e-05, eta: 18:30:15, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4793, decode.loss_mask: 0.6222, decode.loss_dice: 0.8796, decode.d0.loss_cls: 1.4934, decode.d0.loss_mask: 0.6640, decode.d0.loss_dice: 0.9804, decode.d1.loss_cls: 0.5805, decode.d1.loss_mask: 0.6499, decode.d1.loss_dice: 0.9460, decode.d2.loss_cls: 0.5239, decode.d2.loss_mask: 0.6344, decode.d2.loss_dice: 0.9122, decode.d3.loss_cls: 0.4998, decode.d3.loss_mask: 0.6282, decode.d3.loss_dice: 0.8930, decode.d4.loss_cls: 0.4880, decode.d4.loss_mask: 0.6254, decode.d4.loss_dice: 0.8972, decode.d5.loss_cls: 0.4828, decode.d5.loss_mask: 0.6231, decode.d5.loss_dice: 0.8878, decode.d6.loss_cls: 0.4769, decode.d6.loss_mask: 0.6238, decode.d6.loss_dice: 0.8813, decode.d7.loss_cls: 0.4758, decode.d7.loss_mask: 0.6252, decode.d7.loss_dice: 0.8817, decode.d8.loss_cls: 0.4784, decode.d8.loss_mask: 0.6216, decode.d8.loss_dice: 0.8826, loss: 21.3381, grad_norm: 44.0661 2023-11-12 02:55:39,059 - mmseg - INFO - Iter [29450/160000] lr: 8.159e-05, eta: 18:29:43, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4920, decode.loss_mask: 0.6433, decode.loss_dice: 0.9363, decode.d0.loss_cls: 1.5077, decode.d0.loss_mask: 0.6816, decode.d0.loss_dice: 1.0453, decode.d1.loss_cls: 0.5915, decode.d1.loss_mask: 0.6703, decode.d1.loss_dice: 1.0028, decode.d2.loss_cls: 0.5304, decode.d2.loss_mask: 0.6574, decode.d2.loss_dice: 0.9650, decode.d3.loss_cls: 0.5081, decode.d3.loss_mask: 0.6488, decode.d3.loss_dice: 0.9488, decode.d4.loss_cls: 0.5084, decode.d4.loss_mask: 0.6486, decode.d4.loss_dice: 0.9471, decode.d5.loss_cls: 0.4964, decode.d5.loss_mask: 0.6521, decode.d5.loss_dice: 0.9463, decode.d6.loss_cls: 0.4911, decode.d6.loss_mask: 0.6488, decode.d6.loss_dice: 0.9417, decode.d7.loss_cls: 0.4822, decode.d7.loss_mask: 0.6512, decode.d7.loss_dice: 0.9500, decode.d8.loss_cls: 0.4846, decode.d8.loss_mask: 0.6493, decode.d8.loss_dice: 0.9554, loss: 22.2827, grad_norm: 48.1918 2023-11-12 02:56:03,443 - mmseg - INFO - Iter [29500/160000] lr: 8.156e-05, eta: 18:29:12, time: 0.488, data_time: 0.014, memory: 41146, decode.loss_cls: 0.5246, decode.loss_mask: 0.6267, decode.loss_dice: 0.9213, decode.d0.loss_cls: 1.5105, decode.d0.loss_mask: 0.6661, decode.d0.loss_dice: 1.0284, decode.d1.loss_cls: 0.6072, decode.d1.loss_mask: 0.6472, decode.d1.loss_dice: 0.9868, decode.d2.loss_cls: 0.5538, decode.d2.loss_mask: 0.6378, decode.d2.loss_dice: 0.9529, decode.d3.loss_cls: 0.5391, decode.d3.loss_mask: 0.6309, decode.d3.loss_dice: 0.9284, decode.d4.loss_cls: 0.5187, decode.d4.loss_mask: 0.6306, decode.d4.loss_dice: 0.9350, decode.d5.loss_cls: 0.5234, decode.d5.loss_mask: 0.6292, decode.d5.loss_dice: 0.9344, decode.d6.loss_cls: 0.5212, decode.d6.loss_mask: 0.6277, decode.d6.loss_dice: 0.9183, decode.d7.loss_cls: 0.5201, decode.d7.loss_mask: 0.6266, decode.d7.loss_dice: 0.9209, decode.d8.loss_cls: 0.5203, decode.d8.loss_mask: 0.6281, decode.d8.loss_dice: 0.9242, loss: 22.1404, grad_norm: 48.3552 2023-11-12 02:56:27,330 - mmseg - INFO - Iter [29550/160000] lr: 8.153e-05, eta: 18:28:40, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4948, decode.loss_mask: 0.6236, decode.loss_dice: 0.9167, decode.d0.loss_cls: 1.5347, decode.d0.loss_mask: 0.6671, decode.d0.loss_dice: 1.0227, decode.d1.loss_cls: 0.5946, decode.d1.loss_mask: 0.6511, decode.d1.loss_dice: 0.9845, decode.d2.loss_cls: 0.5416, decode.d2.loss_mask: 0.6342, decode.d2.loss_dice: 0.9465, decode.d3.loss_cls: 0.5236, decode.d3.loss_mask: 0.6317, decode.d3.loss_dice: 0.9296, decode.d4.loss_cls: 0.5104, decode.d4.loss_mask: 0.6326, decode.d4.loss_dice: 0.9291, decode.d5.loss_cls: 0.5064, decode.d5.loss_mask: 0.6303, decode.d5.loss_dice: 0.9247, decode.d6.loss_cls: 0.4948, decode.d6.loss_mask: 0.6306, decode.d6.loss_dice: 0.9165, decode.d7.loss_cls: 0.4922, decode.d7.loss_mask: 0.6281, decode.d7.loss_dice: 0.9210, decode.d8.loss_cls: 0.4928, decode.d8.loss_mask: 0.6267, decode.d8.loss_dice: 0.9180, loss: 21.9510, grad_norm: 46.9644 2023-11-12 02:56:51,182 - mmseg - INFO - Iter [29600/160000] lr: 8.150e-05, eta: 18:28:07, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4617, decode.loss_mask: 0.6200, decode.loss_dice: 0.9022, decode.d0.loss_cls: 1.4598, decode.d0.loss_mask: 0.6534, decode.d0.loss_dice: 1.0021, decode.d1.loss_cls: 0.5519, decode.d1.loss_mask: 0.6522, decode.d1.loss_dice: 0.9698, decode.d2.loss_cls: 0.5071, decode.d2.loss_mask: 0.6352, decode.d2.loss_dice: 0.9407, decode.d3.loss_cls: 0.4866, decode.d3.loss_mask: 0.6256, decode.d3.loss_dice: 0.9186, decode.d4.loss_cls: 0.4722, decode.d4.loss_mask: 0.6284, decode.d4.loss_dice: 0.9173, decode.d5.loss_cls: 0.4749, decode.d5.loss_mask: 0.6258, decode.d5.loss_dice: 0.9124, decode.d6.loss_cls: 0.4682, decode.d6.loss_mask: 0.6229, decode.d6.loss_dice: 0.9067, decode.d7.loss_cls: 0.4593, decode.d7.loss_mask: 0.6223, decode.d7.loss_dice: 0.9034, decode.d8.loss_cls: 0.4599, decode.d8.loss_mask: 0.6210, decode.d8.loss_dice: 0.9065, loss: 21.3880, grad_norm: 46.4356 2023-11-12 02:57:15,193 - mmseg - INFO - Iter [29650/160000] lr: 8.147e-05, eta: 18:27:35, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4990, decode.loss_mask: 0.6147, decode.loss_dice: 0.9108, decode.d0.loss_cls: 1.5209, decode.d0.loss_mask: 0.6574, decode.d0.loss_dice: 1.0230, decode.d1.loss_cls: 0.6054, decode.d1.loss_mask: 0.6418, decode.d1.loss_dice: 0.9778, decode.d2.loss_cls: 0.5441, decode.d2.loss_mask: 0.6277, decode.d2.loss_dice: 0.9460, decode.d3.loss_cls: 0.5263, decode.d3.loss_mask: 0.6230, decode.d3.loss_dice: 0.9263, decode.d4.loss_cls: 0.5173, decode.d4.loss_mask: 0.6199, decode.d4.loss_dice: 0.9282, decode.d5.loss_cls: 0.5122, decode.d5.loss_mask: 0.6189, decode.d5.loss_dice: 0.9289, decode.d6.loss_cls: 0.5043, decode.d6.loss_mask: 0.6164, decode.d6.loss_dice: 0.9168, decode.d7.loss_cls: 0.5021, decode.d7.loss_mask: 0.6172, decode.d7.loss_dice: 0.9180, decode.d8.loss_cls: 0.4961, decode.d8.loss_mask: 0.6169, decode.d8.loss_dice: 0.9226, loss: 21.8799, grad_norm: 45.0426 2023-11-12 02:57:39,216 - mmseg - INFO - Iter [29700/160000] lr: 8.144e-05, eta: 18:27:03, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4788, decode.loss_mask: 0.6235, decode.loss_dice: 0.9033, decode.d0.loss_cls: 1.4915, decode.d0.loss_mask: 0.6668, decode.d0.loss_dice: 1.0085, decode.d1.loss_cls: 0.5682, decode.d1.loss_mask: 0.6458, decode.d1.loss_dice: 0.9671, decode.d2.loss_cls: 0.5197, decode.d2.loss_mask: 0.6325, decode.d2.loss_dice: 0.9374, decode.d3.loss_cls: 0.4944, decode.d3.loss_mask: 0.6292, decode.d3.loss_dice: 0.9135, decode.d4.loss_cls: 0.4958, decode.d4.loss_mask: 0.6229, decode.d4.loss_dice: 0.9093, decode.d5.loss_cls: 0.4902, decode.d5.loss_mask: 0.6242, decode.d5.loss_dice: 0.9082, decode.d6.loss_cls: 0.4835, decode.d6.loss_mask: 0.6233, decode.d6.loss_dice: 0.9004, decode.d7.loss_cls: 0.4787, decode.d7.loss_mask: 0.6214, decode.d7.loss_dice: 0.9048, decode.d8.loss_cls: 0.4737, decode.d8.loss_mask: 0.6230, decode.d8.loss_dice: 0.9054, loss: 21.5451, grad_norm: 48.1429 2023-11-12 02:58:03,379 - mmseg - INFO - Iter [29750/160000] lr: 8.141e-05, eta: 18:26:32, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.5021, decode.loss_mask: 0.6316, decode.loss_dice: 0.9163, decode.d0.loss_cls: 1.4956, decode.d0.loss_mask: 0.6719, decode.d0.loss_dice: 1.0159, decode.d1.loss_cls: 0.5952, decode.d1.loss_mask: 0.6586, decode.d1.loss_dice: 0.9747, decode.d2.loss_cls: 0.5400, decode.d2.loss_mask: 0.6411, decode.d2.loss_dice: 0.9426, decode.d3.loss_cls: 0.5130, decode.d3.loss_mask: 0.6368, decode.d3.loss_dice: 0.9284, decode.d4.loss_cls: 0.5056, decode.d4.loss_mask: 0.6351, decode.d4.loss_dice: 0.9277, decode.d5.loss_cls: 0.5088, decode.d5.loss_mask: 0.6335, decode.d5.loss_dice: 0.9268, decode.d6.loss_cls: 0.5072, decode.d6.loss_mask: 0.6307, decode.d6.loss_dice: 0.9180, decode.d7.loss_cls: 0.5056, decode.d7.loss_mask: 0.6309, decode.d7.loss_dice: 0.9205, decode.d8.loss_cls: 0.5058, decode.d8.loss_mask: 0.6336, decode.d8.loss_dice: 0.9169, loss: 21.9706, grad_norm: 44.7414 2023-11-12 02:58:27,371 - mmseg - INFO - Iter [29800/160000] lr: 8.138e-05, eta: 18:26:00, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4944, decode.loss_mask: 0.6389, decode.loss_dice: 0.9045, decode.d0.loss_cls: 1.5162, decode.d0.loss_mask: 0.6778, decode.d0.loss_dice: 1.0101, decode.d1.loss_cls: 0.5890, decode.d1.loss_mask: 0.6662, decode.d1.loss_dice: 0.9688, decode.d2.loss_cls: 0.5393, decode.d2.loss_mask: 0.6481, decode.d2.loss_dice: 0.9360, decode.d3.loss_cls: 0.5162, decode.d3.loss_mask: 0.6438, decode.d3.loss_dice: 0.9137, decode.d4.loss_cls: 0.5014, decode.d4.loss_mask: 0.6430, decode.d4.loss_dice: 0.9120, decode.d5.loss_cls: 0.4978, decode.d5.loss_mask: 0.6406, decode.d5.loss_dice: 0.9123, decode.d6.loss_cls: 0.4969, decode.d6.loss_mask: 0.6391, decode.d6.loss_dice: 0.9112, decode.d7.loss_cls: 0.4887, decode.d7.loss_mask: 0.6409, decode.d7.loss_dice: 0.9158, decode.d8.loss_cls: 0.4885, decode.d8.loss_mask: 0.6478, decode.d8.loss_dice: 0.9139, loss: 21.9127, grad_norm: 46.8412 2023-11-12 02:58:51,363 - mmseg - INFO - Iter [29850/160000] lr: 8.134e-05, eta: 18:25:28, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4863, decode.loss_mask: 0.6317, decode.loss_dice: 0.8991, decode.d0.loss_cls: 1.4763, decode.d0.loss_mask: 0.6666, decode.d0.loss_dice: 1.0006, decode.d1.loss_cls: 0.5800, decode.d1.loss_mask: 0.6557, decode.d1.loss_dice: 0.9518, decode.d2.loss_cls: 0.5210, decode.d2.loss_mask: 0.6463, decode.d2.loss_dice: 0.9280, decode.d3.loss_cls: 0.5022, decode.d3.loss_mask: 0.6387, decode.d3.loss_dice: 0.9062, decode.d4.loss_cls: 0.5010, decode.d4.loss_mask: 0.6330, decode.d4.loss_dice: 0.9013, decode.d5.loss_cls: 0.4968, decode.d5.loss_mask: 0.6359, decode.d5.loss_dice: 0.9097, decode.d6.loss_cls: 0.4940, decode.d6.loss_mask: 0.6347, decode.d6.loss_dice: 0.8999, decode.d7.loss_cls: 0.4923, decode.d7.loss_mask: 0.6346, decode.d7.loss_dice: 0.8993, decode.d8.loss_cls: 0.4811, decode.d8.loss_mask: 0.6328, decode.d8.loss_dice: 0.9062, loss: 21.6432, grad_norm: 48.4704 2023-11-12 02:59:15,772 - mmseg - INFO - Iter [29900/160000] lr: 8.131e-05, eta: 18:24:57, time: 0.488, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4914, decode.loss_mask: 0.6316, decode.loss_dice: 0.9402, decode.d0.loss_cls: 1.5066, decode.d0.loss_mask: 0.6699, decode.d0.loss_dice: 1.0395, decode.d1.loss_cls: 0.5930, decode.d1.loss_mask: 0.6619, decode.d1.loss_dice: 1.0052, decode.d2.loss_cls: 0.5361, decode.d2.loss_mask: 0.6405, decode.d2.loss_dice: 0.9668, decode.d3.loss_cls: 0.5138, decode.d3.loss_mask: 0.6382, decode.d3.loss_dice: 0.9478, decode.d4.loss_cls: 0.5100, decode.d4.loss_mask: 0.6381, decode.d4.loss_dice: 0.9511, decode.d5.loss_cls: 0.5020, decode.d5.loss_mask: 0.6405, decode.d5.loss_dice: 0.9511, decode.d6.loss_cls: 0.5017, decode.d6.loss_mask: 0.6361, decode.d6.loss_dice: 0.9406, decode.d7.loss_cls: 0.4968, decode.d7.loss_mask: 0.6330, decode.d7.loss_dice: 0.9417, decode.d8.loss_cls: 0.4889, decode.d8.loss_mask: 0.6368, decode.d8.loss_dice: 0.9462, loss: 22.1975, grad_norm: 48.4263 2023-11-12 02:59:39,926 - mmseg - INFO - Iter [29950/160000] lr: 8.128e-05, eta: 18:24:26, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4950, decode.loss_mask: 0.6397, decode.loss_dice: 0.9261, decode.d0.loss_cls: 1.4771, decode.d0.loss_mask: 0.6678, decode.d0.loss_dice: 1.0168, decode.d1.loss_cls: 0.5897, decode.d1.loss_mask: 0.6663, decode.d1.loss_dice: 0.9809, decode.d2.loss_cls: 0.5393, decode.d2.loss_mask: 0.6447, decode.d2.loss_dice: 0.9550, decode.d3.loss_cls: 0.5163, decode.d3.loss_mask: 0.6378, decode.d3.loss_dice: 0.9316, decode.d4.loss_cls: 0.5109, decode.d4.loss_mask: 0.6376, decode.d4.loss_dice: 0.9367, decode.d5.loss_cls: 0.5004, decode.d5.loss_mask: 0.6384, decode.d5.loss_dice: 0.9296, decode.d6.loss_cls: 0.5017, decode.d6.loss_mask: 0.6371, decode.d6.loss_dice: 0.9185, decode.d7.loss_cls: 0.4996, decode.d7.loss_mask: 0.6378, decode.d7.loss_dice: 0.9257, decode.d8.loss_cls: 0.4962, decode.d8.loss_mask: 0.6375, decode.d8.loss_dice: 0.9250, loss: 22.0166, grad_norm: 48.2950 2023-11-12 03:00:03,975 - mmseg - INFO - Saving checkpoint at 30000 iterations 2023-11-12 03:00:07,900 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 03:00:07,900 - mmseg - INFO - Iter [30000/160000] lr: 8.125e-05, eta: 18:24:12, time: 0.560, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4826, decode.loss_mask: 0.6166, decode.loss_dice: 0.8925, decode.d0.loss_cls: 1.4778, decode.d0.loss_mask: 0.6580, decode.d0.loss_dice: 1.0013, decode.d1.loss_cls: 0.5879, decode.d1.loss_mask: 0.6514, decode.d1.loss_dice: 0.9560, decode.d2.loss_cls: 0.5317, decode.d2.loss_mask: 0.6345, decode.d2.loss_dice: 0.9305, decode.d3.loss_cls: 0.5093, decode.d3.loss_mask: 0.6231, decode.d3.loss_dice: 0.8969, decode.d4.loss_cls: 0.4996, decode.d4.loss_mask: 0.6221, decode.d4.loss_dice: 0.9032, decode.d5.loss_cls: 0.4998, decode.d5.loss_mask: 0.6204, decode.d5.loss_dice: 0.9018, decode.d6.loss_cls: 0.4911, decode.d6.loss_mask: 0.6168, decode.d6.loss_dice: 0.8951, decode.d7.loss_cls: 0.4813, decode.d7.loss_mask: 0.6170, decode.d7.loss_dice: 0.8959, decode.d8.loss_cls: 0.4799, decode.d8.loss_mask: 0.6194, decode.d8.loss_dice: 0.8958, loss: 21.4893, grad_norm: 49.8907 2023-11-12 03:00:30,446 - mmseg - INFO - per class results: 2023-11-12 03:00:30,451 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.51 | 85.07 | | building | 81.81 | 93.27 | | sky | 94.78 | 97.41 | | floor | 82.27 | 88.75 | | tree | 75.22 | 85.27 | | ceiling | 83.73 | 91.43 | | road | 82.73 | 86.87 | | bed | 90.31 | 94.7 | | windowpane | 61.01 | 77.3 | | grass | 64.02 | 85.43 | | cabinet | 59.46 | 70.77 | | sidewalk | 62.96 | 88.55 | | person | 84.83 | 91.73 | | earth | 37.0 | 47.73 | | door | 46.05 | 62.24 | | table | 63.56 | 77.4 | | mountain | 58.18 | 69.28 | | plant | 51.59 | 62.53 | | curtain | 77.33 | 85.58 | | chair | 59.2 | 70.78 | | car | 84.77 | 93.86 | | water | 51.41 | 66.39 | | painting | 71.37 | 89.93 | | sofa | 67.71 | 82.29 | | shelf | 39.74 | 54.53 | | house | 34.62 | 40.21 | | sea | 69.52 | 89.22 | | mirror | 66.35 | 77.85 | | rug | 63.6 | 83.05 | | field | 33.87 | 51.76 | | armchair | 47.7 | 74.61 | | seat | 56.19 | 79.15 | | fence | 44.7 | 67.25 | | desk | 45.05 | 78.59 | | rock | 44.48 | 75.12 | | wardrobe | 46.17 | 65.81 | | lamp | 69.75 | 80.79 | | bathtub | 75.24 | 83.1 | | railing | 33.87 | 53.37 | | cushion | 64.45 | 75.81 | | base | 26.9 | 72.49 | | box | 27.09 | 39.73 | | column | 48.02 | 60.79 | | signboard | 39.92 | 53.63 | | chest of drawers | 34.3 | 73.8 | | counter | 29.19 | 42.96 | | sand | 30.94 | 46.66 | | sink | 72.21 | 83.28 | | skyscraper | 36.47 | 41.48 | | fireplace | 74.76 | 93.71 | | refrigerator | 78.6 | 88.61 | | grandstand | 41.78 | 77.66 | | path | 18.0 | 26.71 | | stairs | 26.6 | 36.35 | | runway | 76.35 | 90.4 | | case | 49.3 | 63.03 | | pool table | 94.11 | 97.14 | | pillow | 59.28 | 75.47 | | screen door | 61.17 | 89.27 | | stairway | 33.73 | 48.55 | | river | 11.4 | 15.88 | | bridge | 70.19 | 90.56 | | bookcase | 28.27 | 61.48 | | blind | 45.98 | 67.67 | | coffee table | 67.36 | 87.02 | | toilet | 87.83 | 91.32 | | flower | 38.36 | 65.06 | | book | 43.07 | 59.08 | | hill | 7.56 | 16.04 | | bench | 52.03 | 73.16 | | countertop | 55.26 | 79.45 | | stove | 82.29 | 91.06 | | palm | 55.43 | 74.79 | | kitchen island | 41.05 | 77.79 | | computer | 79.02 | 86.93 | | swivel chair | 44.11 | 76.69 | | boat | 71.01 | 92.68 | | bar | 48.58 | 53.44 | | arcade machine | 75.83 | 85.36 | | hovel | 34.8 | 47.23 | | bus | 93.49 | 96.25 | | towel | 66.54 | 87.28 | | light | 57.94 | 76.4 | | truck | 44.74 | 59.41 | | tower | 20.43 | 34.89 | | chandelier | 69.0 | 82.92 | | awning | 26.01 | 54.83 | | streetlight | 41.49 | 59.88 | | booth | 28.4 | 28.85 | | television receiver | 73.17 | 80.55 | | airplane | 65.01 | 76.97 | | dirt track | 0.0 | 0.0 | | apparel | 28.08 | 48.57 | | pole | 32.88 | 58.59 | | land | 2.92 | 3.46 | | bannister | 15.79 | 23.86 | | escalator | 55.08 | 72.26 | | ottoman | 50.01 | 64.55 | | bottle | 25.34 | 32.55 | | buffet | 23.18 | 33.11 | | poster | 25.68 | 43.06 | | stage | 7.9 | 34.46 | | van | 22.75 | 29.32 | | ship | 3.84 | 4.15 | | fountain | 23.12 | 23.81 | | conveyer belt | 43.14 | 63.25 | | canopy | 21.52 | 31.47 | | washer | 63.95 | 75.82 | | plaything | 33.93 | 66.63 | | swimming pool | 39.58 | 57.12 | | stool | 46.25 | 73.14 | | barrel | 34.97 | 95.19 | | basket | 34.2 | 47.89 | | waterfall | 37.14 | 57.73 | | tent | 66.88 | 98.47 | | bag | 19.3 | 27.3 | | minibike | 67.75 | 88.82 | | cradle | 85.8 | 98.3 | | oven | 23.94 | 59.42 | | ball | 49.1 | 60.68 | | food | 60.72 | 76.52 | | step | 11.34 | 20.39 | | tank | 46.43 | 64.85 | | trade name | 35.64 | 53.63 | | microwave | 50.26 | 55.92 | | pot | 48.84 | 57.69 | | animal | 70.85 | 72.56 | | bicycle | 62.0 | 80.88 | | lake | 35.62 | 63.06 | | dishwasher | 73.56 | 80.08 | | screen | 66.17 | 95.53 | | blanket | 25.91 | 43.2 | | sculpture | 47.64 | 88.18 | | hood | 71.41 | 94.44 | | sconce | 53.6 | 68.5 | | vase | 51.55 | 71.06 | | traffic light | 42.94 | 69.43 | | tray | 14.66 | 18.79 | | ashcan | 46.51 | 69.73 | | fan | 63.05 | 83.66 | | pier | 38.06 | 41.18 | | crt screen | 4.51 | 13.98 | | plate | 63.28 | 76.34 | | monitor | 1.94 | 2.43 | | bulletin board | 42.97 | 60.08 | | shower | 6.24 | 21.62 | | radiator | 54.99 | 84.52 | | glass | 21.86 | 25.11 | | clock | 47.9 | 64.95 | | flag | 50.04 | 56.88 | +---------------------+-------+-------+ 2023-11-12 03:00:30,452 - mmseg - INFO - Summary: 2023-11-12 03:00:30,452 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 82.76 | 49.23 | 65.04 | +-------+-------+-------+ 2023-11-12 03:00:30,452 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 03:00:30,453 - mmseg - INFO - Iter(val) [250] aAcc: 0.8276, mIoU: 0.4923, mAcc: 0.6504, IoU.wall: 0.7851, IoU.building: 0.8181, IoU.sky: 0.9478, IoU.floor: 0.8227, IoU.tree: 0.7522, IoU.ceiling: 0.8373, IoU.road: 0.8273, IoU.bed : 0.9031, IoU.windowpane: 0.6101, IoU.grass: 0.6402, IoU.cabinet: 0.5946, IoU.sidewalk: 0.6296, IoU.person: 0.8483, IoU.earth: 0.3700, IoU.door: 0.4605, IoU.table: 0.6356, IoU.mountain: 0.5818, IoU.plant: 0.5159, IoU.curtain: 0.7733, IoU.chair: 0.5920, IoU.car: 0.8477, IoU.water: 0.5141, IoU.painting: 0.7137, IoU.sofa: 0.6771, IoU.shelf: 0.3974, IoU.house: 0.3462, IoU.sea: 0.6952, IoU.mirror: 0.6635, IoU.rug: 0.6360, IoU.field: 0.3387, IoU.armchair: 0.4770, IoU.seat: 0.5619, IoU.fence: 0.4470, IoU.desk: 0.4505, IoU.rock: 0.4448, IoU.wardrobe: 0.4617, IoU.lamp: 0.6975, IoU.bathtub: 0.7524, IoU.railing: 0.3387, IoU.cushion: 0.6445, IoU.base: 0.2690, IoU.box: 0.2709, IoU.column: 0.4802, IoU.signboard: 0.3992, IoU.chest of drawers: 0.3430, IoU.counter: 0.2919, IoU.sand: 0.3094, IoU.sink: 0.7221, IoU.skyscraper: 0.3647, IoU.fireplace: 0.7476, IoU.refrigerator: 0.7860, IoU.grandstand: 0.4178, IoU.path: 0.1800, IoU.stairs: 0.2660, IoU.runway: 0.7635, IoU.case: 0.4930, IoU.pool table: 0.9411, IoU.pillow: 0.5928, IoU.screen door: 0.6117, IoU.stairway: 0.3373, IoU.river: 0.1140, IoU.bridge: 0.7019, IoU.bookcase: 0.2827, IoU.blind: 0.4598, IoU.coffee table: 0.6736, IoU.toilet: 0.8783, IoU.flower: 0.3836, IoU.book: 0.4307, IoU.hill: 0.0756, IoU.bench: 0.5203, IoU.countertop: 0.5526, IoU.stove: 0.8229, IoU.palm: 0.5543, IoU.kitchen island: 0.4105, IoU.computer: 0.7902, IoU.swivel chair: 0.4411, IoU.boat: 0.7101, IoU.bar: 0.4858, IoU.arcade machine: 0.7583, IoU.hovel: 0.3480, IoU.bus: 0.9349, IoU.towel: 0.6654, IoU.light: 0.5794, IoU.truck: 0.4474, IoU.tower: 0.2043, IoU.chandelier: 0.6900, IoU.awning: 0.2601, IoU.streetlight: 0.4149, IoU.booth: 0.2840, IoU.television receiver: 0.7317, IoU.airplane: 0.6501, IoU.dirt track: 0.0000, IoU.apparel: 0.2808, IoU.pole: 0.3288, IoU.land: 0.0292, IoU.bannister: 0.1579, IoU.escalator: 0.5508, IoU.ottoman: 0.5001, IoU.bottle: 0.2534, IoU.buffet: 0.2318, IoU.poster: 0.2568, IoU.stage: 0.0790, IoU.van: 0.2275, IoU.ship: 0.0384, IoU.fountain: 0.2312, IoU.conveyer belt: 0.4314, IoU.canopy: 0.2152, IoU.washer: 0.6395, IoU.plaything: 0.3393, IoU.swimming pool: 0.3958, IoU.stool: 0.4625, IoU.barrel: 0.3497, IoU.basket: 0.3420, IoU.waterfall: 0.3714, IoU.tent: 0.6688, IoU.bag: 0.1930, IoU.minibike: 0.6775, IoU.cradle: 0.8580, IoU.oven: 0.2394, IoU.ball: 0.4910, IoU.food: 0.6072, IoU.step: 0.1134, IoU.tank: 0.4643, IoU.trade name: 0.3564, IoU.microwave: 0.5026, IoU.pot: 0.4884, IoU.animal: 0.7085, IoU.bicycle: 0.6200, IoU.lake: 0.3562, IoU.dishwasher: 0.7356, IoU.screen: 0.6617, IoU.blanket: 0.2591, IoU.sculpture: 0.4764, IoU.hood: 0.7141, IoU.sconce: 0.5360, IoU.vase: 0.5155, IoU.traffic light: 0.4294, IoU.tray: 0.1466, IoU.ashcan: 0.4651, IoU.fan: 0.6305, IoU.pier: 0.3806, IoU.crt screen: 0.0451, IoU.plate: 0.6328, IoU.monitor: 0.0194, IoU.bulletin board: 0.4297, IoU.shower: 0.0624, IoU.radiator: 0.5499, IoU.glass: 0.2186, IoU.clock: 0.4790, IoU.flag: 0.5004, Acc.wall: 0.8507, Acc.building: 0.9327, Acc.sky: 0.9741, Acc.floor: 0.8875, Acc.tree: 0.8527, Acc.ceiling: 0.9143, Acc.road: 0.8687, Acc.bed : 0.9470, Acc.windowpane: 0.7730, Acc.grass: 0.8543, Acc.cabinet: 0.7077, Acc.sidewalk: 0.8855, Acc.person: 0.9173, Acc.earth: 0.4773, Acc.door: 0.6224, Acc.table: 0.7740, Acc.mountain: 0.6928, Acc.plant: 0.6253, Acc.curtain: 0.8558, Acc.chair: 0.7078, Acc.car: 0.9386, Acc.water: 0.6639, Acc.painting: 0.8993, Acc.sofa: 0.8229, Acc.shelf: 0.5453, Acc.house: 0.4021, Acc.sea: 0.8922, Acc.mirror: 0.7785, Acc.rug: 0.8305, Acc.field: 0.5176, Acc.armchair: 0.7461, Acc.seat: 0.7915, Acc.fence: 0.6725, Acc.desk: 0.7859, Acc.rock: 0.7512, Acc.wardrobe: 0.6581, Acc.lamp: 0.8079, Acc.bathtub: 0.8310, Acc.railing: 0.5337, Acc.cushion: 0.7581, Acc.base: 0.7249, Acc.box: 0.3973, Acc.column: 0.6079, Acc.signboard: 0.5363, Acc.chest of drawers: 0.7380, Acc.counter: 0.4296, Acc.sand: 0.4666, Acc.sink: 0.8328, Acc.skyscraper: 0.4148, Acc.fireplace: 0.9371, Acc.refrigerator: 0.8861, Acc.grandstand: 0.7766, Acc.path: 0.2671, Acc.stairs: 0.3635, Acc.runway: 0.9040, Acc.case: 0.6303, Acc.pool table: 0.9714, Acc.pillow: 0.7547, Acc.screen door: 0.8927, Acc.stairway: 0.4855, Acc.river: 0.1588, Acc.bridge: 0.9056, Acc.bookcase: 0.6148, Acc.blind: 0.6767, Acc.coffee table: 0.8702, Acc.toilet: 0.9132, Acc.flower: 0.6506, Acc.book: 0.5908, Acc.hill: 0.1604, Acc.bench: 0.7316, Acc.countertop: 0.7945, Acc.stove: 0.9106, Acc.palm: 0.7479, Acc.kitchen island: 0.7779, Acc.computer: 0.8693, Acc.swivel chair: 0.7669, Acc.boat: 0.9268, Acc.bar: 0.5344, Acc.arcade machine: 0.8536, Acc.hovel: 0.4723, Acc.bus: 0.9625, Acc.towel: 0.8728, Acc.light: 0.7640, Acc.truck: 0.5941, Acc.tower: 0.3489, Acc.chandelier: 0.8292, Acc.awning: 0.5483, Acc.streetlight: 0.5988, Acc.booth: 0.2885, Acc.television receiver: 0.8055, Acc.airplane: 0.7697, Acc.dirt track: 0.0000, Acc.apparel: 0.4857, Acc.pole: 0.5859, Acc.land: 0.0346, Acc.bannister: 0.2386, Acc.escalator: 0.7226, Acc.ottoman: 0.6455, Acc.bottle: 0.3255, Acc.buffet: 0.3311, Acc.poster: 0.4306, Acc.stage: 0.3446, Acc.van: 0.2932, Acc.ship: 0.0415, Acc.fountain: 0.2381, Acc.conveyer belt: 0.6325, Acc.canopy: 0.3147, Acc.washer: 0.7582, Acc.plaything: 0.6663, Acc.swimming pool: 0.5712, Acc.stool: 0.7314, Acc.barrel: 0.9519, Acc.basket: 0.4789, Acc.waterfall: 0.5773, Acc.tent: 0.9847, Acc.bag: 0.2730, Acc.minibike: 0.8882, Acc.cradle: 0.9830, Acc.oven: 0.5942, Acc.ball: 0.6068, Acc.food: 0.7652, Acc.step: 0.2039, Acc.tank: 0.6485, Acc.trade name: 0.5363, Acc.microwave: 0.5592, Acc.pot: 0.5769, Acc.animal: 0.7256, Acc.bicycle: 0.8088, Acc.lake: 0.6306, Acc.dishwasher: 0.8008, Acc.screen: 0.9553, Acc.blanket: 0.4320, Acc.sculpture: 0.8818, Acc.hood: 0.9444, Acc.sconce: 0.6850, Acc.vase: 0.7106, Acc.traffic light: 0.6943, Acc.tray: 0.1879, Acc.ashcan: 0.6973, Acc.fan: 0.8366, Acc.pier: 0.4118, Acc.crt screen: 0.1398, Acc.plate: 0.7634, Acc.monitor: 0.0243, Acc.bulletin board: 0.6008, Acc.shower: 0.2162, Acc.radiator: 0.8452, Acc.glass: 0.2511, Acc.clock: 0.6495, Acc.flag: 0.5688 2023-11-12 03:00:54,586 - mmseg - INFO - Iter [30050/160000] lr: 8.122e-05, eta: 18:25:18, time: 0.934, data_time: 0.464, memory: 41146, decode.loss_cls: 0.4795, decode.loss_mask: 0.6308, decode.loss_dice: 0.9358, decode.d0.loss_cls: 1.4947, decode.d0.loss_mask: 0.6647, decode.d0.loss_dice: 1.0361, decode.d1.loss_cls: 0.5675, decode.d1.loss_mask: 0.6568, decode.d1.loss_dice: 1.0031, decode.d2.loss_cls: 0.5190, decode.d2.loss_mask: 0.6405, decode.d2.loss_dice: 0.9723, decode.d3.loss_cls: 0.5069, decode.d3.loss_mask: 0.6337, decode.d3.loss_dice: 0.9454, decode.d4.loss_cls: 0.4895, decode.d4.loss_mask: 0.6306, decode.d4.loss_dice: 0.9484, decode.d5.loss_cls: 0.4885, decode.d5.loss_mask: 0.6325, decode.d5.loss_dice: 0.9458, decode.d6.loss_cls: 0.4841, decode.d6.loss_mask: 0.6296, decode.d6.loss_dice: 0.9423, decode.d7.loss_cls: 0.4775, decode.d7.loss_mask: 0.6296, decode.d7.loss_dice: 0.9460, decode.d8.loss_cls: 0.4735, decode.d8.loss_mask: 0.6289, decode.d8.loss_dice: 0.9454, loss: 21.9793, grad_norm: 45.9629 2023-11-12 03:01:18,770 - mmseg - INFO - Iter [30100/160000] lr: 8.119e-05, eta: 18:24:46, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4955, decode.loss_mask: 0.6410, decode.loss_dice: 0.9373, decode.d0.loss_cls: 1.5114, decode.d0.loss_mask: 0.6742, decode.d0.loss_dice: 1.0347, decode.d1.loss_cls: 0.5880, decode.d1.loss_mask: 0.6617, decode.d1.loss_dice: 1.0082, decode.d2.loss_cls: 0.5349, decode.d2.loss_mask: 0.6533, decode.d2.loss_dice: 0.9711, decode.d3.loss_cls: 0.5103, decode.d3.loss_mask: 0.6427, decode.d3.loss_dice: 0.9451, decode.d4.loss_cls: 0.5059, decode.d4.loss_mask: 0.6471, decode.d4.loss_dice: 0.9454, decode.d5.loss_cls: 0.4980, decode.d5.loss_mask: 0.6451, decode.d5.loss_dice: 0.9490, decode.d6.loss_cls: 0.4999, decode.d6.loss_mask: 0.6448, decode.d6.loss_dice: 0.9377, decode.d7.loss_cls: 0.4959, decode.d7.loss_mask: 0.6442, decode.d7.loss_dice: 0.9437, decode.d8.loss_cls: 0.4943, decode.d8.loss_mask: 0.6427, decode.d8.loss_dice: 0.9405, loss: 22.2437, grad_norm: 48.0395 2023-11-12 03:01:42,903 - mmseg - INFO - Iter [30150/160000] lr: 8.116e-05, eta: 18:24:15, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4922, decode.loss_mask: 0.6174, decode.loss_dice: 0.8991, decode.d0.loss_cls: 1.5006, decode.d0.loss_mask: 0.6579, decode.d0.loss_dice: 1.0044, decode.d1.loss_cls: 0.5885, decode.d1.loss_mask: 0.6418, decode.d1.loss_dice: 0.9694, decode.d2.loss_cls: 0.5310, decode.d2.loss_mask: 0.6282, decode.d2.loss_dice: 0.9270, decode.d3.loss_cls: 0.5048, decode.d3.loss_mask: 0.6242, decode.d3.loss_dice: 0.9137, decode.d4.loss_cls: 0.5006, decode.d4.loss_mask: 0.6202, decode.d4.loss_dice: 0.9115, decode.d5.loss_cls: 0.4886, decode.d5.loss_mask: 0.6227, decode.d5.loss_dice: 0.9062, decode.d6.loss_cls: 0.4890, decode.d6.loss_mask: 0.6176, decode.d6.loss_dice: 0.9004, decode.d7.loss_cls: 0.4830, decode.d7.loss_mask: 0.6206, decode.d7.loss_dice: 0.9072, decode.d8.loss_cls: 0.4918, decode.d8.loss_mask: 0.6184, decode.d8.loss_dice: 0.8967, loss: 21.5750, grad_norm: 47.0615 2023-11-12 03:02:07,588 - mmseg - INFO - Iter [30200/160000] lr: 8.113e-05, eta: 18:23:46, time: 0.494, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4873, decode.loss_mask: 0.6332, decode.loss_dice: 0.9285, decode.d0.loss_cls: 1.4864, decode.d0.loss_mask: 0.6575, decode.d0.loss_dice: 1.0339, decode.d1.loss_cls: 0.5825, decode.d1.loss_mask: 0.6536, decode.d1.loss_dice: 0.9989, decode.d2.loss_cls: 0.5348, decode.d2.loss_mask: 0.6373, decode.d2.loss_dice: 0.9550, decode.d3.loss_cls: 0.5105, decode.d3.loss_mask: 0.6347, decode.d3.loss_dice: 0.9346, decode.d4.loss_cls: 0.4999, decode.d4.loss_mask: 0.6301, decode.d4.loss_dice: 0.9380, decode.d5.loss_cls: 0.4931, decode.d5.loss_mask: 0.6289, decode.d5.loss_dice: 0.9380, decode.d6.loss_cls: 0.4926, decode.d6.loss_mask: 0.6282, decode.d6.loss_dice: 0.9259, decode.d7.loss_cls: 0.4867, decode.d7.loss_mask: 0.6268, decode.d7.loss_dice: 0.9292, decode.d8.loss_cls: 0.4914, decode.d8.loss_mask: 0.6287, decode.d8.loss_dice: 0.9318, loss: 21.9381, grad_norm: 45.6687 2023-11-12 03:02:32,984 - mmseg - INFO - Iter [30250/160000] lr: 8.109e-05, eta: 18:23:20, time: 0.508, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4773, decode.loss_mask: 0.6257, decode.loss_dice: 0.9255, decode.d0.loss_cls: 1.4900, decode.d0.loss_mask: 0.6563, decode.d0.loss_dice: 1.0212, decode.d1.loss_cls: 0.5824, decode.d1.loss_mask: 0.6379, decode.d1.loss_dice: 0.9772, decode.d2.loss_cls: 0.5245, decode.d2.loss_mask: 0.6249, decode.d2.loss_dice: 0.9442, decode.d3.loss_cls: 0.5000, decode.d3.loss_mask: 0.6250, decode.d3.loss_dice: 0.9312, decode.d4.loss_cls: 0.4906, decode.d4.loss_mask: 0.6265, decode.d4.loss_dice: 0.9332, decode.d5.loss_cls: 0.4892, decode.d5.loss_mask: 0.6236, decode.d5.loss_dice: 0.9335, decode.d6.loss_cls: 0.4805, decode.d6.loss_mask: 0.6254, decode.d6.loss_dice: 0.9242, decode.d7.loss_cls: 0.4853, decode.d7.loss_mask: 0.6205, decode.d7.loss_dice: 0.9279, decode.d8.loss_cls: 0.4865, decode.d8.loss_mask: 0.6201, decode.d8.loss_dice: 0.9212, loss: 21.7315, grad_norm: 47.8566 2023-11-12 03:02:58,183 - mmseg - INFO - Iter [30300/160000] lr: 8.106e-05, eta: 18:22:53, time: 0.504, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4794, decode.loss_mask: 0.6345, decode.loss_dice: 0.9318, decode.d0.loss_cls: 1.4407, decode.d0.loss_mask: 0.6758, decode.d0.loss_dice: 1.0182, decode.d1.loss_cls: 0.5610, decode.d1.loss_mask: 0.6576, decode.d1.loss_dice: 0.9814, decode.d2.loss_cls: 0.5090, decode.d2.loss_mask: 0.6482, decode.d2.loss_dice: 0.9611, decode.d3.loss_cls: 0.4960, decode.d3.loss_mask: 0.6391, decode.d3.loss_dice: 0.9358, decode.d4.loss_cls: 0.4814, decode.d4.loss_mask: 0.6403, decode.d4.loss_dice: 0.9379, decode.d5.loss_cls: 0.4802, decode.d5.loss_mask: 0.6387, decode.d5.loss_dice: 0.9356, decode.d6.loss_cls: 0.4766, decode.d6.loss_mask: 0.6348, decode.d6.loss_dice: 0.9264, decode.d7.loss_cls: 0.4778, decode.d7.loss_mask: 0.6359, decode.d7.loss_dice: 0.9311, decode.d8.loss_cls: 0.4811, decode.d8.loss_mask: 0.6366, decode.d8.loss_dice: 0.9299, loss: 21.8140, grad_norm: 47.4672 2023-11-12 03:03:24,592 - mmseg - INFO - Iter [30350/160000] lr: 8.103e-05, eta: 18:22:31, time: 0.528, data_time: 0.059, memory: 41146, decode.loss_cls: 0.4525, decode.loss_mask: 0.6243, decode.loss_dice: 0.9065, decode.d0.loss_cls: 1.4751, decode.d0.loss_mask: 0.6531, decode.d0.loss_dice: 0.9947, decode.d1.loss_cls: 0.5572, decode.d1.loss_mask: 0.6450, decode.d1.loss_dice: 0.9582, decode.d2.loss_cls: 0.4962, decode.d2.loss_mask: 0.6366, decode.d2.loss_dice: 0.9333, decode.d3.loss_cls: 0.4770, decode.d3.loss_mask: 0.6309, decode.d3.loss_dice: 0.9144, decode.d4.loss_cls: 0.4598, decode.d4.loss_mask: 0.6293, decode.d4.loss_dice: 0.9173, decode.d5.loss_cls: 0.4657, decode.d5.loss_mask: 0.6261, decode.d5.loss_dice: 0.9133, decode.d6.loss_cls: 0.4621, decode.d6.loss_mask: 0.6264, decode.d6.loss_dice: 0.9036, decode.d7.loss_cls: 0.4583, decode.d7.loss_mask: 0.6229, decode.d7.loss_dice: 0.9049, decode.d8.loss_cls: 0.4560, decode.d8.loss_mask: 0.6220, decode.d8.loss_dice: 0.9092, loss: 21.3320, grad_norm: 48.6900 2023-11-12 03:03:48,599 - mmseg - INFO - Iter [30400/160000] lr: 8.100e-05, eta: 18:21:59, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4541, decode.loss_mask: 0.6459, decode.loss_dice: 0.9139, decode.d0.loss_cls: 1.4418, decode.d0.loss_mask: 0.6867, decode.d0.loss_dice: 1.0139, decode.d1.loss_cls: 0.5509, decode.d1.loss_mask: 0.6740, decode.d1.loss_dice: 0.9819, decode.d2.loss_cls: 0.5012, decode.d2.loss_mask: 0.6560, decode.d2.loss_dice: 0.9464, decode.d3.loss_cls: 0.4718, decode.d3.loss_mask: 0.6500, decode.d3.loss_dice: 0.9293, decode.d4.loss_cls: 0.4686, decode.d4.loss_mask: 0.6499, decode.d4.loss_dice: 0.9274, decode.d5.loss_cls: 0.4607, decode.d5.loss_mask: 0.6451, decode.d5.loss_dice: 0.9189, decode.d6.loss_cls: 0.4622, decode.d6.loss_mask: 0.6448, decode.d6.loss_dice: 0.9110, decode.d7.loss_cls: 0.4567, decode.d7.loss_mask: 0.6467, decode.d7.loss_dice: 0.9095, decode.d8.loss_cls: 0.4627, decode.d8.loss_mask: 0.6463, decode.d8.loss_dice: 0.9119, loss: 21.6401, grad_norm: 47.3601 2023-11-12 03:04:12,664 - mmseg - INFO - Iter [30450/160000] lr: 8.097e-05, eta: 18:21:28, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4647, decode.loss_mask: 0.6571, decode.loss_dice: 0.9266, decode.d0.loss_cls: 1.4606, decode.d0.loss_mask: 0.6914, decode.d0.loss_dice: 1.0259, decode.d1.loss_cls: 0.5709, decode.d1.loss_mask: 0.6774, decode.d1.loss_dice: 0.9937, decode.d2.loss_cls: 0.5161, decode.d2.loss_mask: 0.6634, decode.d2.loss_dice: 0.9555, decode.d3.loss_cls: 0.4936, decode.d3.loss_mask: 0.6575, decode.d3.loss_dice: 0.9391, decode.d4.loss_cls: 0.4817, decode.d4.loss_mask: 0.6590, decode.d4.loss_dice: 0.9334, decode.d5.loss_cls: 0.4787, decode.d5.loss_mask: 0.6588, decode.d5.loss_dice: 0.9368, decode.d6.loss_cls: 0.4797, decode.d6.loss_mask: 0.6545, decode.d6.loss_dice: 0.9230, decode.d7.loss_cls: 0.4716, decode.d7.loss_mask: 0.6559, decode.d7.loss_dice: 0.9267, decode.d8.loss_cls: 0.4645, decode.d8.loss_mask: 0.6567, decode.d8.loss_dice: 0.9258, loss: 22.0002, grad_norm: 50.7735 2023-11-12 03:04:36,679 - mmseg - INFO - Iter [30500/160000] lr: 8.094e-05, eta: 18:20:56, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4658, decode.loss_mask: 0.6575, decode.loss_dice: 0.9200, decode.d0.loss_cls: 1.4706, decode.d0.loss_mask: 0.7023, decode.d0.loss_dice: 1.0181, decode.d1.loss_cls: 0.5620, decode.d1.loss_mask: 0.6845, decode.d1.loss_dice: 0.9853, decode.d2.loss_cls: 0.5143, decode.d2.loss_mask: 0.6723, decode.d2.loss_dice: 0.9499, decode.d3.loss_cls: 0.4939, decode.d3.loss_mask: 0.6674, decode.d3.loss_dice: 0.9314, decode.d4.loss_cls: 0.4848, decode.d4.loss_mask: 0.6604, decode.d4.loss_dice: 0.9276, decode.d5.loss_cls: 0.4821, decode.d5.loss_mask: 0.6634, decode.d5.loss_dice: 0.9268, decode.d6.loss_cls: 0.4767, decode.d6.loss_mask: 0.6589, decode.d6.loss_dice: 0.9152, decode.d7.loss_cls: 0.4679, decode.d7.loss_mask: 0.6599, decode.d7.loss_dice: 0.9239, decode.d8.loss_cls: 0.4680, decode.d8.loss_mask: 0.6569, decode.d8.loss_dice: 0.9246, loss: 21.9922, grad_norm: 50.1397 2023-11-12 03:05:00,660 - mmseg - INFO - Iter [30550/160000] lr: 8.091e-05, eta: 18:20:24, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4753, decode.loss_mask: 0.6144, decode.loss_dice: 0.9240, decode.d0.loss_cls: 1.5008, decode.d0.loss_mask: 0.6492, decode.d0.loss_dice: 1.0195, decode.d1.loss_cls: 0.5719, decode.d1.loss_mask: 0.6332, decode.d1.loss_dice: 0.9837, decode.d2.loss_cls: 0.5289, decode.d2.loss_mask: 0.6216, decode.d2.loss_dice: 0.9511, decode.d3.loss_cls: 0.5010, decode.d3.loss_mask: 0.6125, decode.d3.loss_dice: 0.9344, decode.d4.loss_cls: 0.4955, decode.d4.loss_mask: 0.6132, decode.d4.loss_dice: 0.9282, decode.d5.loss_cls: 0.4917, decode.d5.loss_mask: 0.6110, decode.d5.loss_dice: 0.9266, decode.d6.loss_cls: 0.4844, decode.d6.loss_mask: 0.6131, decode.d6.loss_dice: 0.9210, decode.d7.loss_cls: 0.4691, decode.d7.loss_mask: 0.6172, decode.d7.loss_dice: 0.9322, decode.d8.loss_cls: 0.4822, decode.d8.loss_mask: 0.6142, decode.d8.loss_dice: 0.9285, loss: 21.6497, grad_norm: 47.9418 2023-11-12 03:05:24,787 - mmseg - INFO - Iter [30600/160000] lr: 8.088e-05, eta: 18:19:53, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4348, decode.loss_mask: 0.6361, decode.loss_dice: 0.8877, decode.d0.loss_cls: 1.4237, decode.d0.loss_mask: 0.6729, decode.d0.loss_dice: 0.9821, decode.d1.loss_cls: 0.5267, decode.d1.loss_mask: 0.6566, decode.d1.loss_dice: 0.9448, decode.d2.loss_cls: 0.4751, decode.d2.loss_mask: 0.6430, decode.d2.loss_dice: 0.9123, decode.d3.loss_cls: 0.4567, decode.d3.loss_mask: 0.6363, decode.d3.loss_dice: 0.8910, decode.d4.loss_cls: 0.4465, decode.d4.loss_mask: 0.6367, decode.d4.loss_dice: 0.8913, decode.d5.loss_cls: 0.4408, decode.d5.loss_mask: 0.6368, decode.d5.loss_dice: 0.8928, decode.d6.loss_cls: 0.4381, decode.d6.loss_mask: 0.6390, decode.d6.loss_dice: 0.8881, decode.d7.loss_cls: 0.4289, decode.d7.loss_mask: 0.6379, decode.d7.loss_dice: 0.8906, decode.d8.loss_cls: 0.4307, decode.d8.loss_mask: 0.6375, decode.d8.loss_dice: 0.8876, loss: 21.0029, grad_norm: 48.3615 2023-11-12 03:05:48,897 - mmseg - INFO - Iter [30650/160000] lr: 8.084e-05, eta: 18:19:21, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4701, decode.loss_mask: 0.6033, decode.loss_dice: 0.8917, decode.d0.loss_cls: 1.5162, decode.d0.loss_mask: 0.6317, decode.d0.loss_dice: 0.9935, decode.d1.loss_cls: 0.5657, decode.d1.loss_mask: 0.6210, decode.d1.loss_dice: 0.9567, decode.d2.loss_cls: 0.5091, decode.d2.loss_mask: 0.6129, decode.d2.loss_dice: 0.9239, decode.d3.loss_cls: 0.4872, decode.d3.loss_mask: 0.6072, decode.d3.loss_dice: 0.9002, decode.d4.loss_cls: 0.4810, decode.d4.loss_mask: 0.6041, decode.d4.loss_dice: 0.9024, decode.d5.loss_cls: 0.4812, decode.d5.loss_mask: 0.6012, decode.d5.loss_dice: 0.9049, decode.d6.loss_cls: 0.4750, decode.d6.loss_mask: 0.6015, decode.d6.loss_dice: 0.8938, decode.d7.loss_cls: 0.4715, decode.d7.loss_mask: 0.6028, decode.d7.loss_dice: 0.9006, decode.d8.loss_cls: 0.4728, decode.d8.loss_mask: 0.6015, decode.d8.loss_dice: 0.8951, loss: 21.1797, grad_norm: 46.5467 2023-11-12 03:06:13,156 - mmseg - INFO - Iter [30700/160000] lr: 8.081e-05, eta: 18:18:51, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4833, decode.loss_mask: 0.6278, decode.loss_dice: 0.8882, decode.d0.loss_cls: 1.5065, decode.d0.loss_mask: 0.6693, decode.d0.loss_dice: 0.9926, decode.d1.loss_cls: 0.5713, decode.d1.loss_mask: 0.6612, decode.d1.loss_dice: 0.9487, decode.d2.loss_cls: 0.5178, decode.d2.loss_mask: 0.6439, decode.d2.loss_dice: 0.9148, decode.d3.loss_cls: 0.4996, decode.d3.loss_mask: 0.6331, decode.d3.loss_dice: 0.8967, decode.d4.loss_cls: 0.4950, decode.d4.loss_mask: 0.6286, decode.d4.loss_dice: 0.8904, decode.d5.loss_cls: 0.4855, decode.d5.loss_mask: 0.6293, decode.d5.loss_dice: 0.9012, decode.d6.loss_cls: 0.4840, decode.d6.loss_mask: 0.6273, decode.d6.loss_dice: 0.8815, decode.d7.loss_cls: 0.4802, decode.d7.loss_mask: 0.6311, decode.d7.loss_dice: 0.8875, decode.d8.loss_cls: 0.4768, decode.d8.loss_mask: 0.6275, decode.d8.loss_dice: 0.8952, loss: 21.4759, grad_norm: 47.5628 2023-11-12 03:06:37,377 - mmseg - INFO - Iter [30750/160000] lr: 8.078e-05, eta: 18:18:20, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4769, decode.loss_mask: 0.6189, decode.loss_dice: 0.9128, decode.d0.loss_cls: 1.4757, decode.d0.loss_mask: 0.6596, decode.d0.loss_dice: 1.0242, decode.d1.loss_cls: 0.5691, decode.d1.loss_mask: 0.6381, decode.d1.loss_dice: 0.9830, decode.d2.loss_cls: 0.5234, decode.d2.loss_mask: 0.6252, decode.d2.loss_dice: 0.9446, decode.d3.loss_cls: 0.5068, decode.d3.loss_mask: 0.6201, decode.d3.loss_dice: 0.9251, decode.d4.loss_cls: 0.4918, decode.d4.loss_mask: 0.6164, decode.d4.loss_dice: 0.9286, decode.d5.loss_cls: 0.4925, decode.d5.loss_mask: 0.6157, decode.d5.loss_dice: 0.9196, decode.d6.loss_cls: 0.4887, decode.d6.loss_mask: 0.6150, decode.d6.loss_dice: 0.9162, decode.d7.loss_cls: 0.4865, decode.d7.loss_mask: 0.6151, decode.d7.loss_dice: 0.9158, decode.d8.loss_cls: 0.4791, decode.d8.loss_mask: 0.6154, decode.d8.loss_dice: 0.9159, loss: 21.6158, grad_norm: 45.4069 2023-11-12 03:07:01,460 - mmseg - INFO - Iter [30800/160000] lr: 8.075e-05, eta: 18:17:48, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4859, decode.loss_mask: 0.6274, decode.loss_dice: 0.8989, decode.d0.loss_cls: 1.5076, decode.d0.loss_mask: 0.6645, decode.d0.loss_dice: 1.0119, decode.d1.loss_cls: 0.5841, decode.d1.loss_mask: 0.6558, decode.d1.loss_dice: 0.9677, decode.d2.loss_cls: 0.5304, decode.d2.loss_mask: 0.6385, decode.d2.loss_dice: 0.9259, decode.d3.loss_cls: 0.5112, decode.d3.loss_mask: 0.6305, decode.d3.loss_dice: 0.9102, decode.d4.loss_cls: 0.5031, decode.d4.loss_mask: 0.6290, decode.d4.loss_dice: 0.9051, decode.d5.loss_cls: 0.4930, decode.d5.loss_mask: 0.6312, decode.d5.loss_dice: 0.9087, decode.d6.loss_cls: 0.4937, decode.d6.loss_mask: 0.6326, decode.d6.loss_dice: 0.9017, decode.d7.loss_cls: 0.4807, decode.d7.loss_mask: 0.6302, decode.d7.loss_dice: 0.9063, decode.d8.loss_cls: 0.4876, decode.d8.loss_mask: 0.6268, decode.d8.loss_dice: 0.9083, loss: 21.6888, grad_norm: 47.2276 2023-11-12 03:07:25,550 - mmseg - INFO - Iter [30850/160000] lr: 8.072e-05, eta: 18:17:17, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4755, decode.loss_mask: 0.6240, decode.loss_dice: 0.9318, decode.d0.loss_cls: 1.5001, decode.d0.loss_mask: 0.6565, decode.d0.loss_dice: 1.0307, decode.d1.loss_cls: 0.5698, decode.d1.loss_mask: 0.6427, decode.d1.loss_dice: 0.9847, decode.d2.loss_cls: 0.5196, decode.d2.loss_mask: 0.6322, decode.d2.loss_dice: 0.9558, decode.d3.loss_cls: 0.5005, decode.d3.loss_mask: 0.6277, decode.d3.loss_dice: 0.9327, decode.d4.loss_cls: 0.4940, decode.d4.loss_mask: 0.6249, decode.d4.loss_dice: 0.9307, decode.d5.loss_cls: 0.4862, decode.d5.loss_mask: 0.6280, decode.d5.loss_dice: 0.9285, decode.d6.loss_cls: 0.4820, decode.d6.loss_mask: 0.6252, decode.d6.loss_dice: 0.9264, decode.d7.loss_cls: 0.4769, decode.d7.loss_mask: 0.6263, decode.d7.loss_dice: 0.9241, decode.d8.loss_cls: 0.4715, decode.d8.loss_mask: 0.6249, decode.d8.loss_dice: 0.9272, loss: 21.7609, grad_norm: 46.3122 2023-11-12 03:07:49,442 - mmseg - INFO - Iter [30900/160000] lr: 8.069e-05, eta: 18:16:45, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4691, decode.loss_mask: 0.6380, decode.loss_dice: 0.9014, decode.d0.loss_cls: 1.5025, decode.d0.loss_mask: 0.6737, decode.d0.loss_dice: 1.0018, decode.d1.loss_cls: 0.5628, decode.d1.loss_mask: 0.6637, decode.d1.loss_dice: 0.9557, decode.d2.loss_cls: 0.5121, decode.d2.loss_mask: 0.6460, decode.d2.loss_dice: 0.9290, decode.d3.loss_cls: 0.4955, decode.d3.loss_mask: 0.6382, decode.d3.loss_dice: 0.9124, decode.d4.loss_cls: 0.4822, decode.d4.loss_mask: 0.6383, decode.d4.loss_dice: 0.9077, decode.d5.loss_cls: 0.4732, decode.d5.loss_mask: 0.6391, decode.d5.loss_dice: 0.9120, decode.d6.loss_cls: 0.4738, decode.d6.loss_mask: 0.6353, decode.d6.loss_dice: 0.9072, decode.d7.loss_cls: 0.4707, decode.d7.loss_mask: 0.6370, decode.d7.loss_dice: 0.9059, decode.d8.loss_cls: 0.4629, decode.d8.loss_mask: 0.6406, decode.d8.loss_dice: 0.9081, loss: 21.5957, grad_norm: 46.6818 2023-11-12 03:08:13,493 - mmseg - INFO - Iter [30950/160000] lr: 8.066e-05, eta: 18:16:13, time: 0.481, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4715, decode.loss_mask: 0.6068, decode.loss_dice: 0.8907, decode.d0.loss_cls: 1.4824, decode.d0.loss_mask: 0.6436, decode.d0.loss_dice: 1.0022, decode.d1.loss_cls: 0.5793, decode.d1.loss_mask: 0.6360, decode.d1.loss_dice: 0.9554, decode.d2.loss_cls: 0.5149, decode.d2.loss_mask: 0.6221, decode.d2.loss_dice: 0.9210, decode.d3.loss_cls: 0.5000, decode.d3.loss_mask: 0.6120, decode.d3.loss_dice: 0.9030, decode.d4.loss_cls: 0.4896, decode.d4.loss_mask: 0.6096, decode.d4.loss_dice: 0.9073, decode.d5.loss_cls: 0.4790, decode.d5.loss_mask: 0.6117, decode.d5.loss_dice: 0.8994, decode.d6.loss_cls: 0.4826, decode.d6.loss_mask: 0.6058, decode.d6.loss_dice: 0.8906, decode.d7.loss_cls: 0.4735, decode.d7.loss_mask: 0.6077, decode.d7.loss_dice: 0.8938, decode.d8.loss_cls: 0.4740, decode.d8.loss_mask: 0.6044, decode.d8.loss_dice: 0.8948, loss: 21.2648, grad_norm: 43.7417 2023-11-12 03:08:37,548 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 03:08:37,548 - mmseg - INFO - Iter [31000/160000] lr: 8.063e-05, eta: 18:15:42, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4822, decode.loss_mask: 0.6095, decode.loss_dice: 0.8975, decode.d0.loss_cls: 1.4920, decode.d0.loss_mask: 0.6455, decode.d0.loss_dice: 1.0063, decode.d1.loss_cls: 0.5768, decode.d1.loss_mask: 0.6352, decode.d1.loss_dice: 0.9721, decode.d2.loss_cls: 0.5197, decode.d2.loss_mask: 0.6247, decode.d2.loss_dice: 0.9378, decode.d3.loss_cls: 0.5026, decode.d3.loss_mask: 0.6147, decode.d3.loss_dice: 0.9122, decode.d4.loss_cls: 0.4898, decode.d4.loss_mask: 0.6154, decode.d4.loss_dice: 0.9084, decode.d5.loss_cls: 0.4876, decode.d5.loss_mask: 0.6141, decode.d5.loss_dice: 0.9071, decode.d6.loss_cls: 0.4814, decode.d6.loss_mask: 0.6126, decode.d6.loss_dice: 0.9007, decode.d7.loss_cls: 0.4821, decode.d7.loss_mask: 0.6101, decode.d7.loss_dice: 0.8992, decode.d8.loss_cls: 0.4756, decode.d8.loss_mask: 0.6123, decode.d8.loss_dice: 0.9080, loss: 21.4330, grad_norm: 47.0704 2023-11-12 03:09:02,043 - mmseg - INFO - Iter [31050/160000] lr: 8.059e-05, eta: 18:15:12, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4680, decode.loss_mask: 0.6252, decode.loss_dice: 0.9297, decode.d0.loss_cls: 1.4968, decode.d0.loss_mask: 0.6565, decode.d0.loss_dice: 1.0286, decode.d1.loss_cls: 0.5735, decode.d1.loss_mask: 0.6422, decode.d1.loss_dice: 0.9962, decode.d2.loss_cls: 0.5144, decode.d2.loss_mask: 0.6317, decode.d2.loss_dice: 0.9618, decode.d3.loss_cls: 0.4931, decode.d3.loss_mask: 0.6321, decode.d3.loss_dice: 0.9396, decode.d4.loss_cls: 0.4861, decode.d4.loss_mask: 0.6295, decode.d4.loss_dice: 0.9343, decode.d5.loss_cls: 0.4767, decode.d5.loss_mask: 0.6250, decode.d5.loss_dice: 0.9390, decode.d6.loss_cls: 0.4722, decode.d6.loss_mask: 0.6273, decode.d6.loss_dice: 0.9324, decode.d7.loss_cls: 0.4666, decode.d7.loss_mask: 0.6252, decode.d7.loss_dice: 0.9310, decode.d8.loss_cls: 0.4688, decode.d8.loss_mask: 0.6246, decode.d8.loss_dice: 0.9327, loss: 21.7608, grad_norm: 48.6522 2023-11-12 03:09:26,453 - mmseg - INFO - Iter [31100/160000] lr: 8.056e-05, eta: 18:14:42, time: 0.488, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4913, decode.loss_mask: 0.6081, decode.loss_dice: 0.9209, decode.d0.loss_cls: 1.5090, decode.d0.loss_mask: 0.6412, decode.d0.loss_dice: 1.0227, decode.d1.loss_cls: 0.6025, decode.d1.loss_mask: 0.6281, decode.d1.loss_dice: 0.9885, decode.d2.loss_cls: 0.5326, decode.d2.loss_mask: 0.6178, decode.d2.loss_dice: 0.9486, decode.d3.loss_cls: 0.5138, decode.d3.loss_mask: 0.6118, decode.d3.loss_dice: 0.9321, decode.d4.loss_cls: 0.5103, decode.d4.loss_mask: 0.6124, decode.d4.loss_dice: 0.9314, decode.d5.loss_cls: 0.5027, decode.d5.loss_mask: 0.6112, decode.d5.loss_dice: 0.9286, decode.d6.loss_cls: 0.4974, decode.d6.loss_mask: 0.6098, decode.d6.loss_dice: 0.9207, decode.d7.loss_cls: 0.4952, decode.d7.loss_mask: 0.6103, decode.d7.loss_dice: 0.9221, decode.d8.loss_cls: 0.4939, decode.d8.loss_mask: 0.6083, decode.d8.loss_dice: 0.9212, loss: 21.7441, grad_norm: 45.3356 2023-11-12 03:09:50,684 - mmseg - INFO - Iter [31150/160000] lr: 8.053e-05, eta: 18:14:12, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4633, decode.loss_mask: 0.6151, decode.loss_dice: 0.9123, decode.d0.loss_cls: 1.4393, decode.d0.loss_mask: 0.6551, decode.d0.loss_dice: 1.0031, decode.d1.loss_cls: 0.5642, decode.d1.loss_mask: 0.6367, decode.d1.loss_dice: 0.9578, decode.d2.loss_cls: 0.5091, decode.d2.loss_mask: 0.6230, decode.d2.loss_dice: 0.9271, decode.d3.loss_cls: 0.4866, decode.d3.loss_mask: 0.6210, decode.d3.loss_dice: 0.9146, decode.d4.loss_cls: 0.4806, decode.d4.loss_mask: 0.6179, decode.d4.loss_dice: 0.9126, decode.d5.loss_cls: 0.4766, decode.d5.loss_mask: 0.6173, decode.d5.loss_dice: 0.9102, decode.d6.loss_cls: 0.4648, decode.d6.loss_mask: 0.6183, decode.d6.loss_dice: 0.9049, decode.d7.loss_cls: 0.4656, decode.d7.loss_mask: 0.6133, decode.d7.loss_dice: 0.9065, decode.d8.loss_cls: 0.4618, decode.d8.loss_mask: 0.6160, decode.d8.loss_dice: 0.9107, loss: 21.3053, grad_norm: 47.6487 2023-11-12 03:10:14,769 - mmseg - INFO - Iter [31200/160000] lr: 8.050e-05, eta: 18:13:41, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4507, decode.loss_mask: 0.6098, decode.loss_dice: 0.8909, decode.d0.loss_cls: 1.4491, decode.d0.loss_mask: 0.6433, decode.d0.loss_dice: 0.9864, decode.d1.loss_cls: 0.5425, decode.d1.loss_mask: 0.6302, decode.d1.loss_dice: 0.9629, decode.d2.loss_cls: 0.4922, decode.d2.loss_mask: 0.6161, decode.d2.loss_dice: 0.9195, decode.d3.loss_cls: 0.4782, decode.d3.loss_mask: 0.6094, decode.d3.loss_dice: 0.9009, decode.d4.loss_cls: 0.4685, decode.d4.loss_mask: 0.6106, decode.d4.loss_dice: 0.9005, decode.d5.loss_cls: 0.4598, decode.d5.loss_mask: 0.6122, decode.d5.loss_dice: 0.8962, decode.d6.loss_cls: 0.4612, decode.d6.loss_mask: 0.6110, decode.d6.loss_dice: 0.8907, decode.d7.loss_cls: 0.4490, decode.d7.loss_mask: 0.6137, decode.d7.loss_dice: 0.8943, decode.d8.loss_cls: 0.4515, decode.d8.loss_mask: 0.6121, decode.d8.loss_dice: 0.8935, loss: 21.0069, grad_norm: 44.9727 2023-11-12 03:10:38,881 - mmseg - INFO - Iter [31250/160000] lr: 8.047e-05, eta: 18:13:10, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4881, decode.loss_mask: 0.6094, decode.loss_dice: 0.9061, decode.d0.loss_cls: 1.5291, decode.d0.loss_mask: 0.6429, decode.d0.loss_dice: 1.0136, decode.d1.loss_cls: 0.5818, decode.d1.loss_mask: 0.6458, decode.d1.loss_dice: 0.9720, decode.d2.loss_cls: 0.5308, decode.d2.loss_mask: 0.6233, decode.d2.loss_dice: 0.9377, decode.d3.loss_cls: 0.5057, decode.d3.loss_mask: 0.6157, decode.d3.loss_dice: 0.9220, decode.d4.loss_cls: 0.4944, decode.d4.loss_mask: 0.6154, decode.d4.loss_dice: 0.9183, decode.d5.loss_cls: 0.4928, decode.d5.loss_mask: 0.6117, decode.d5.loss_dice: 0.9187, decode.d6.loss_cls: 0.4935, decode.d6.loss_mask: 0.6144, decode.d6.loss_dice: 0.9059, decode.d7.loss_cls: 0.4928, decode.d7.loss_mask: 0.6127, decode.d7.loss_dice: 0.9076, decode.d8.loss_cls: 0.4931, decode.d8.loss_mask: 0.6112, decode.d8.loss_dice: 0.9090, loss: 21.6155, grad_norm: 47.1708 2023-11-12 03:11:02,805 - mmseg - INFO - Iter [31300/160000] lr: 8.044e-05, eta: 18:12:38, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4999, decode.loss_mask: 0.6349, decode.loss_dice: 0.9341, decode.d0.loss_cls: 1.5117, decode.d0.loss_mask: 0.6721, decode.d0.loss_dice: 1.0357, decode.d1.loss_cls: 0.5914, decode.d1.loss_mask: 0.6603, decode.d1.loss_dice: 1.0056, decode.d2.loss_cls: 0.5480, decode.d2.loss_mask: 0.6483, decode.d2.loss_dice: 0.9675, decode.d3.loss_cls: 0.5361, decode.d3.loss_mask: 0.6397, decode.d3.loss_dice: 0.9464, decode.d4.loss_cls: 0.5230, decode.d4.loss_mask: 0.6413, decode.d4.loss_dice: 0.9484, decode.d5.loss_cls: 0.5170, decode.d5.loss_mask: 0.6377, decode.d5.loss_dice: 0.9376, decode.d6.loss_cls: 0.5032, decode.d6.loss_mask: 0.6371, decode.d6.loss_dice: 0.9330, decode.d7.loss_cls: 0.5012, decode.d7.loss_mask: 0.6385, decode.d7.loss_dice: 0.9366, decode.d8.loss_cls: 0.4983, decode.d8.loss_mask: 0.6386, decode.d8.loss_dice: 0.9362, loss: 22.2593, grad_norm: 46.3632 2023-11-12 03:11:26,800 - mmseg - INFO - Iter [31350/160000] lr: 8.041e-05, eta: 18:12:06, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4796, decode.loss_mask: 0.6207, decode.loss_dice: 0.9174, decode.d0.loss_cls: 1.5080, decode.d0.loss_mask: 0.6563, decode.d0.loss_dice: 1.0072, decode.d1.loss_cls: 0.5714, decode.d1.loss_mask: 0.6432, decode.d1.loss_dice: 0.9747, decode.d2.loss_cls: 0.5254, decode.d2.loss_mask: 0.6306, decode.d2.loss_dice: 0.9534, decode.d3.loss_cls: 0.5010, decode.d3.loss_mask: 0.6215, decode.d3.loss_dice: 0.9287, decode.d4.loss_cls: 0.4921, decode.d4.loss_mask: 0.6219, decode.d4.loss_dice: 0.9258, decode.d5.loss_cls: 0.4887, decode.d5.loss_mask: 0.6235, decode.d5.loss_dice: 0.9266, decode.d6.loss_cls: 0.4818, decode.d6.loss_mask: 0.6186, decode.d6.loss_dice: 0.9206, decode.d7.loss_cls: 0.4746, decode.d7.loss_mask: 0.6220, decode.d7.loss_dice: 0.9253, decode.d8.loss_cls: 0.4774, decode.d8.loss_mask: 0.6200, decode.d8.loss_dice: 0.9239, loss: 21.6819, grad_norm: 45.4182 2023-11-12 03:11:50,823 - mmseg - INFO - Iter [31400/160000] lr: 8.038e-05, eta: 18:11:35, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4996, decode.loss_mask: 0.6275, decode.loss_dice: 0.9041, decode.d0.loss_cls: 1.5002, decode.d0.loss_mask: 0.6631, decode.d0.loss_dice: 1.0196, decode.d1.loss_cls: 0.5905, decode.d1.loss_mask: 0.6534, decode.d1.loss_dice: 0.9733, decode.d2.loss_cls: 0.5373, decode.d2.loss_mask: 0.6394, decode.d2.loss_dice: 0.9422, decode.d3.loss_cls: 0.5272, decode.d3.loss_mask: 0.6319, decode.d3.loss_dice: 0.9189, decode.d4.loss_cls: 0.5155, decode.d4.loss_mask: 0.6292, decode.d4.loss_dice: 0.9193, decode.d5.loss_cls: 0.5099, decode.d5.loss_mask: 0.6301, decode.d5.loss_dice: 0.9147, decode.d6.loss_cls: 0.5118, decode.d6.loss_mask: 0.6286, decode.d6.loss_dice: 0.9092, decode.d7.loss_cls: 0.5042, decode.d7.loss_mask: 0.6255, decode.d7.loss_dice: 0.9104, decode.d8.loss_cls: 0.5031, decode.d8.loss_mask: 0.6252, decode.d8.loss_dice: 0.9073, loss: 21.8719, grad_norm: 48.8624 2023-11-12 03:12:14,893 - mmseg - INFO - Iter [31450/160000] lr: 8.034e-05, eta: 18:11:04, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4629, decode.loss_mask: 0.6196, decode.loss_dice: 0.8909, decode.d0.loss_cls: 1.4567, decode.d0.loss_mask: 0.6578, decode.d0.loss_dice: 0.9884, decode.d1.loss_cls: 0.5545, decode.d1.loss_mask: 0.6484, decode.d1.loss_dice: 0.9664, decode.d2.loss_cls: 0.5127, decode.d2.loss_mask: 0.6334, decode.d2.loss_dice: 0.9210, decode.d3.loss_cls: 0.4799, decode.d3.loss_mask: 0.6254, decode.d3.loss_dice: 0.9050, decode.d4.loss_cls: 0.4707, decode.d4.loss_mask: 0.6239, decode.d4.loss_dice: 0.9013, decode.d5.loss_cls: 0.4639, decode.d5.loss_mask: 0.6250, decode.d5.loss_dice: 0.9076, decode.d6.loss_cls: 0.4697, decode.d6.loss_mask: 0.6241, decode.d6.loss_dice: 0.8951, decode.d7.loss_cls: 0.4676, decode.d7.loss_mask: 0.6203, decode.d7.loss_dice: 0.8985, decode.d8.loss_cls: 0.4601, decode.d8.loss_mask: 0.6226, decode.d8.loss_dice: 0.9007, loss: 21.2741, grad_norm: 46.6115 2023-11-12 03:12:39,216 - mmseg - INFO - Iter [31500/160000] lr: 8.031e-05, eta: 18:10:33, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4767, decode.loss_mask: 0.6253, decode.loss_dice: 0.9037, decode.d0.loss_cls: 1.4857, decode.d0.loss_mask: 0.6635, decode.d0.loss_dice: 1.0159, decode.d1.loss_cls: 0.5660, decode.d1.loss_mask: 0.6501, decode.d1.loss_dice: 0.9696, decode.d2.loss_cls: 0.5134, decode.d2.loss_mask: 0.6339, decode.d2.loss_dice: 0.9391, decode.d3.loss_cls: 0.4894, decode.d3.loss_mask: 0.6276, decode.d3.loss_dice: 0.9143, decode.d4.loss_cls: 0.4810, decode.d4.loss_mask: 0.6262, decode.d4.loss_dice: 0.9207, decode.d5.loss_cls: 0.4799, decode.d5.loss_mask: 0.6260, decode.d5.loss_dice: 0.9158, decode.d6.loss_cls: 0.4896, decode.d6.loss_mask: 0.6256, decode.d6.loss_dice: 0.9044, decode.d7.loss_cls: 0.4754, decode.d7.loss_mask: 0.6243, decode.d7.loss_dice: 0.9065, decode.d8.loss_cls: 0.4819, decode.d8.loss_mask: 0.6255, decode.d8.loss_dice: 0.9103, loss: 21.5673, grad_norm: 47.2723 2023-11-12 03:13:03,580 - mmseg - INFO - Iter [31550/160000] lr: 8.028e-05, eta: 18:10:04, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4757, decode.loss_mask: 0.6118, decode.loss_dice: 0.8851, decode.d0.loss_cls: 1.4490, decode.d0.loss_mask: 0.6435, decode.d0.loss_dice: 0.9974, decode.d1.loss_cls: 0.5627, decode.d1.loss_mask: 0.6338, decode.d1.loss_dice: 0.9504, decode.d2.loss_cls: 0.5176, decode.d2.loss_mask: 0.6207, decode.d2.loss_dice: 0.9255, decode.d3.loss_cls: 0.4953, decode.d3.loss_mask: 0.6150, decode.d3.loss_dice: 0.9006, decode.d4.loss_cls: 0.4900, decode.d4.loss_mask: 0.6145, decode.d4.loss_dice: 0.9016, decode.d5.loss_cls: 0.4872, decode.d5.loss_mask: 0.6124, decode.d5.loss_dice: 0.8948, decode.d6.loss_cls: 0.4816, decode.d6.loss_mask: 0.6092, decode.d6.loss_dice: 0.8914, decode.d7.loss_cls: 0.4805, decode.d7.loss_mask: 0.6115, decode.d7.loss_dice: 0.8935, decode.d8.loss_cls: 0.4751, decode.d8.loss_mask: 0.6120, decode.d8.loss_dice: 0.8965, loss: 21.2359, grad_norm: 45.6223 2023-11-12 03:13:29,876 - mmseg - INFO - Iter [31600/160000] lr: 8.025e-05, eta: 18:09:41, time: 0.526, data_time: 0.059, memory: 41146, decode.loss_cls: 0.4496, decode.loss_mask: 0.6193, decode.loss_dice: 0.9156, decode.d0.loss_cls: 1.4466, decode.d0.loss_mask: 0.6568, decode.d0.loss_dice: 1.0019, decode.d1.loss_cls: 0.5387, decode.d1.loss_mask: 0.6466, decode.d1.loss_dice: 0.9715, decode.d2.loss_cls: 0.4936, decode.d2.loss_mask: 0.6349, decode.d2.loss_dice: 0.9377, decode.d3.loss_cls: 0.4731, decode.d3.loss_mask: 0.6281, decode.d3.loss_dice: 0.9159, decode.d4.loss_cls: 0.4673, decode.d4.loss_mask: 0.6249, decode.d4.loss_dice: 0.9146, decode.d5.loss_cls: 0.4646, decode.d5.loss_mask: 0.6228, decode.d5.loss_dice: 0.9172, decode.d6.loss_cls: 0.4554, decode.d6.loss_mask: 0.6206, decode.d6.loss_dice: 0.9054, decode.d7.loss_cls: 0.4560, decode.d7.loss_mask: 0.6177, decode.d7.loss_dice: 0.9087, decode.d8.loss_cls: 0.4523, decode.d8.loss_mask: 0.6182, decode.d8.loss_dice: 0.9138, loss: 21.2895, grad_norm: 46.7415 2023-11-12 03:13:54,910 - mmseg - INFO - Iter [31650/160000] lr: 8.022e-05, eta: 18:09:14, time: 0.501, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4391, decode.loss_mask: 0.6165, decode.loss_dice: 0.8940, decode.d0.loss_cls: 1.4603, decode.d0.loss_mask: 0.6462, decode.d0.loss_dice: 0.9996, decode.d1.loss_cls: 0.5344, decode.d1.loss_mask: 0.6409, decode.d1.loss_dice: 0.9616, decode.d2.loss_cls: 0.4758, decode.d2.loss_mask: 0.6263, decode.d2.loss_dice: 0.9311, decode.d3.loss_cls: 0.4543, decode.d3.loss_mask: 0.6187, decode.d3.loss_dice: 0.9099, decode.d4.loss_cls: 0.4534, decode.d4.loss_mask: 0.6207, decode.d4.loss_dice: 0.9031, decode.d5.loss_cls: 0.4461, decode.d5.loss_mask: 0.6177, decode.d5.loss_dice: 0.8991, decode.d6.loss_cls: 0.4418, decode.d6.loss_mask: 0.6172, decode.d6.loss_dice: 0.8910, decode.d7.loss_cls: 0.4360, decode.d7.loss_mask: 0.6163, decode.d7.loss_dice: 0.8946, decode.d8.loss_cls: 0.4388, decode.d8.loss_mask: 0.6175, decode.d8.loss_dice: 0.8921, loss: 20.9939, grad_norm: 46.8420 2023-11-12 03:14:18,917 - mmseg - INFO - Iter [31700/160000] lr: 8.019e-05, eta: 18:08:43, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4457, decode.loss_mask: 0.6281, decode.loss_dice: 0.9094, decode.d0.loss_cls: 1.4410, decode.d0.loss_mask: 0.6583, decode.d0.loss_dice: 1.0040, decode.d1.loss_cls: 0.5328, decode.d1.loss_mask: 0.6470, decode.d1.loss_dice: 0.9724, decode.d2.loss_cls: 0.4775, decode.d2.loss_mask: 0.6338, decode.d2.loss_dice: 0.9438, decode.d3.loss_cls: 0.4632, decode.d3.loss_mask: 0.6288, decode.d3.loss_dice: 0.9135, decode.d4.loss_cls: 0.4585, decode.d4.loss_mask: 0.6276, decode.d4.loss_dice: 0.9164, decode.d5.loss_cls: 0.4536, decode.d5.loss_mask: 0.6241, decode.d5.loss_dice: 0.9149, decode.d6.loss_cls: 0.4521, decode.d6.loss_mask: 0.6252, decode.d6.loss_dice: 0.9070, decode.d7.loss_cls: 0.4459, decode.d7.loss_mask: 0.6258, decode.d7.loss_dice: 0.9077, decode.d8.loss_cls: 0.4452, decode.d8.loss_mask: 0.6298, decode.d8.loss_dice: 0.9060, loss: 21.2390, grad_norm: 45.9346 2023-11-12 03:14:42,998 - mmseg - INFO - Iter [31750/160000] lr: 8.016e-05, eta: 18:08:12, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4527, decode.loss_mask: 0.5965, decode.loss_dice: 0.8849, decode.d0.loss_cls: 1.4674, decode.d0.loss_mask: 0.6339, decode.d0.loss_dice: 0.9816, decode.d1.loss_cls: 0.5459, decode.d1.loss_mask: 0.6219, decode.d1.loss_dice: 0.9505, decode.d2.loss_cls: 0.4921, decode.d2.loss_mask: 0.6091, decode.d2.loss_dice: 0.9114, decode.d3.loss_cls: 0.4652, decode.d3.loss_mask: 0.6032, decode.d3.loss_dice: 0.8909, decode.d4.loss_cls: 0.4594, decode.d4.loss_mask: 0.5991, decode.d4.loss_dice: 0.8874, decode.d5.loss_cls: 0.4553, decode.d5.loss_mask: 0.5998, decode.d5.loss_dice: 0.8868, decode.d6.loss_cls: 0.4539, decode.d6.loss_mask: 0.5964, decode.d6.loss_dice: 0.8781, decode.d7.loss_cls: 0.4465, decode.d7.loss_mask: 0.5983, decode.d7.loss_dice: 0.8794, decode.d8.loss_cls: 0.4507, decode.d8.loss_mask: 0.5976, decode.d8.loss_dice: 0.8822, loss: 20.7781, grad_norm: 45.1326 2023-11-12 03:15:13,240 - mmseg - INFO - Iter [31800/160000] lr: 8.013e-05, eta: 18:08:06, time: 0.605, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4900, decode.loss_mask: 0.6246, decode.loss_dice: 0.9102, decode.d0.loss_cls: 1.5204, decode.d0.loss_mask: 0.6580, decode.d0.loss_dice: 1.0126, decode.d1.loss_cls: 0.5743, decode.d1.loss_mask: 0.6447, decode.d1.loss_dice: 0.9740, decode.d2.loss_cls: 0.5159, decode.d2.loss_mask: 0.6306, decode.d2.loss_dice: 0.9357, decode.d3.loss_cls: 0.4992, decode.d3.loss_mask: 0.6274, decode.d3.loss_dice: 0.9228, decode.d4.loss_cls: 0.4951, decode.d4.loss_mask: 0.6263, decode.d4.loss_dice: 0.9232, decode.d5.loss_cls: 0.4921, decode.d5.loss_mask: 0.6250, decode.d5.loss_dice: 0.9197, decode.d6.loss_cls: 0.4971, decode.d6.loss_mask: 0.6212, decode.d6.loss_dice: 0.9067, decode.d7.loss_cls: 0.4851, decode.d7.loss_mask: 0.6246, decode.d7.loss_dice: 0.9114, decode.d8.loss_cls: 0.4865, decode.d8.loss_mask: 0.6248, decode.d8.loss_dice: 0.9099, loss: 21.6891, grad_norm: 46.3403 2023-11-12 03:15:44,711 - mmseg - INFO - Iter [31850/160000] lr: 8.009e-05, eta: 18:08:05, time: 0.629, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4662, decode.loss_mask: 0.6058, decode.loss_dice: 0.8979, decode.d0.loss_cls: 1.4997, decode.d0.loss_mask: 0.6359, decode.d0.loss_dice: 1.0020, decode.d1.loss_cls: 0.5567, decode.d1.loss_mask: 0.6237, decode.d1.loss_dice: 0.9608, decode.d2.loss_cls: 0.5018, decode.d2.loss_mask: 0.6174, decode.d2.loss_dice: 0.9297, decode.d3.loss_cls: 0.4871, decode.d3.loss_mask: 0.6127, decode.d3.loss_dice: 0.9080, decode.d4.loss_cls: 0.4715, decode.d4.loss_mask: 0.6123, decode.d4.loss_dice: 0.9117, decode.d5.loss_cls: 0.4733, decode.d5.loss_mask: 0.6111, decode.d5.loss_dice: 0.9070, decode.d6.loss_cls: 0.4706, decode.d6.loss_mask: 0.6059, decode.d6.loss_dice: 0.9021, decode.d7.loss_cls: 0.4683, decode.d7.loss_mask: 0.6062, decode.d7.loss_dice: 0.9035, decode.d8.loss_cls: 0.4663, decode.d8.loss_mask: 0.6073, decode.d8.loss_dice: 0.9014, loss: 21.2238, grad_norm: 45.0435 2023-11-12 03:16:12,749 - mmseg - INFO - Iter [31900/160000] lr: 8.006e-05, eta: 18:07:49, time: 0.561, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4737, decode.loss_mask: 0.5986, decode.loss_dice: 0.9019, decode.d0.loss_cls: 1.4825, decode.d0.loss_mask: 0.6377, decode.d0.loss_dice: 0.9894, decode.d1.loss_cls: 0.5684, decode.d1.loss_mask: 0.6247, decode.d1.loss_dice: 0.9553, decode.d2.loss_cls: 0.5131, decode.d2.loss_mask: 0.6104, decode.d2.loss_dice: 0.9268, decode.d3.loss_cls: 0.4948, decode.d3.loss_mask: 0.6037, decode.d3.loss_dice: 0.9126, decode.d4.loss_cls: 0.4823, decode.d4.loss_mask: 0.6013, decode.d4.loss_dice: 0.9114, decode.d5.loss_cls: 0.4779, decode.d5.loss_mask: 0.6016, decode.d5.loss_dice: 0.9061, decode.d6.loss_cls: 0.4739, decode.d6.loss_mask: 0.6008, decode.d6.loss_dice: 0.9053, decode.d7.loss_cls: 0.4783, decode.d7.loss_mask: 0.5984, decode.d7.loss_dice: 0.8973, decode.d8.loss_cls: 0.4746, decode.d8.loss_mask: 0.5991, decode.d8.loss_dice: 0.9024, loss: 21.2043, grad_norm: 45.7486 2023-11-12 03:16:40,801 - mmseg - INFO - Iter [31950/160000] lr: 8.003e-05, eta: 18:07:34, time: 0.561, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4624, decode.loss_mask: 0.6130, decode.loss_dice: 0.8878, decode.d0.loss_cls: 1.4570, decode.d0.loss_mask: 0.6568, decode.d0.loss_dice: 0.9776, decode.d1.loss_cls: 0.5613, decode.d1.loss_mask: 0.6372, decode.d1.loss_dice: 0.9424, decode.d2.loss_cls: 0.4990, decode.d2.loss_mask: 0.6268, decode.d2.loss_dice: 0.9124, decode.d3.loss_cls: 0.4780, decode.d3.loss_mask: 0.6193, decode.d3.loss_dice: 0.8929, decode.d4.loss_cls: 0.4726, decode.d4.loss_mask: 0.6169, decode.d4.loss_dice: 0.8909, decode.d5.loss_cls: 0.4695, decode.d5.loss_mask: 0.6188, decode.d5.loss_dice: 0.8959, decode.d6.loss_cls: 0.4640, decode.d6.loss_mask: 0.6134, decode.d6.loss_dice: 0.8904, decode.d7.loss_cls: 0.4629, decode.d7.loss_mask: 0.6169, decode.d7.loss_dice: 0.8856, decode.d8.loss_cls: 0.4630, decode.d8.loss_mask: 0.6140, decode.d8.loss_dice: 0.8923, loss: 21.0912, grad_norm: 47.3976 2023-11-12 03:17:05,338 - mmseg - INFO - Saving checkpoint at 32000 iterations 2023-11-12 03:17:09,282 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 03:17:09,282 - mmseg - INFO - Iter [32000/160000] lr: 8.000e-05, eta: 18:07:21, time: 0.570, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4548, decode.loss_mask: 0.6154, decode.loss_dice: 0.8917, decode.d0.loss_cls: 1.4639, decode.d0.loss_mask: 0.6578, decode.d0.loss_dice: 0.9848, decode.d1.loss_cls: 0.5350, decode.d1.loss_mask: 0.6374, decode.d1.loss_dice: 0.9440, decode.d2.loss_cls: 0.4831, decode.d2.loss_mask: 0.6282, decode.d2.loss_dice: 0.9192, decode.d3.loss_cls: 0.4630, decode.d3.loss_mask: 0.6190, decode.d3.loss_dice: 0.8991, decode.d4.loss_cls: 0.4545, decode.d4.loss_mask: 0.6192, decode.d4.loss_dice: 0.8958, decode.d5.loss_cls: 0.4510, decode.d5.loss_mask: 0.6207, decode.d5.loss_dice: 0.8970, decode.d6.loss_cls: 0.4511, decode.d6.loss_mask: 0.6177, decode.d6.loss_dice: 0.8947, decode.d7.loss_cls: 0.4461, decode.d7.loss_mask: 0.6185, decode.d7.loss_dice: 0.8875, decode.d8.loss_cls: 0.4544, decode.d8.loss_mask: 0.6185, decode.d8.loss_dice: 0.8904, loss: 21.0134, grad_norm: 47.2898 2023-11-12 03:17:37,261 - mmseg - INFO - per class results: 2023-11-12 03:17:37,266 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.12 | 88.08 | | building | 81.27 | 89.3 | | sky | 95.0 | 96.97 | | floor | 82.7 | 90.0 | | tree | 75.69 | 85.84 | | ceiling | 83.17 | 88.2 | | road | 84.58 | 88.21 | | bed | 90.31 | 94.81 | | windowpane | 63.19 | 76.58 | | grass | 65.68 | 80.94 | | cabinet | 61.92 | 80.79 | | sidewalk | 64.87 | 86.17 | | person | 84.4 | 90.46 | | earth | 37.23 | 51.93 | | door | 49.2 | 66.11 | | table | 63.18 | 76.58 | | mountain | 61.08 | 70.23 | | plant | 54.16 | 71.36 | | curtain | 79.45 | 88.23 | | chair | 62.04 | 74.17 | | car | 83.35 | 88.65 | | water | 51.77 | 68.65 | | painting | 68.95 | 86.45 | | sofa | 69.91 | 87.51 | | shelf | 46.83 | 66.65 | | house | 45.05 | 82.52 | | sea | 67.54 | 87.99 | | mirror | 67.92 | 76.76 | | rug | 68.79 | 82.88 | | field | 33.79 | 66.64 | | armchair | 46.34 | 61.82 | | seat | 62.3 | 85.5 | | fence | 44.85 | 63.71 | | desk | 48.25 | 70.79 | | rock | 52.6 | 82.66 | | wardrobe | 49.86 | 57.23 | | lamp | 67.31 | 79.22 | | bathtub | 82.28 | 85.68 | | railing | 34.68 | 59.75 | | cushion | 60.27 | 81.71 | | base | 35.48 | 53.83 | | box | 28.81 | 41.28 | | column | 46.1 | 72.96 | | signboard | 40.6 | 56.42 | | chest of drawers | 37.47 | 66.67 | | counter | 47.73 | 60.88 | | sand | 44.04 | 51.81 | | sink | 78.64 | 84.22 | | skyscraper | 35.96 | 49.43 | | fireplace | 69.8 | 93.08 | | refrigerator | 77.67 | 86.35 | | grandstand | 41.61 | 78.82 | | path | 20.9 | 29.99 | | stairs | 29.09 | 38.09 | | runway | 77.23 | 89.78 | | case | 68.82 | 82.41 | | pool table | 94.77 | 97.11 | | pillow | 53.79 | 65.5 | | screen door | 68.54 | 80.98 | | stairway | 30.8 | 46.06 | | river | 19.87 | 26.86 | | bridge | 68.18 | 92.8 | | bookcase | 35.52 | 59.79 | | blind | 44.91 | 53.07 | | coffee table | 61.17 | 86.76 | | toilet | 88.38 | 91.59 | | flower | 42.9 | 53.44 | | book | 48.21 | 68.38 | | hill | 9.08 | 17.7 | | bench | 53.18 | 70.08 | | countertop | 61.92 | 75.87 | | stove | 82.3 | 88.5 | | palm | 56.13 | 73.29 | | kitchen island | 34.61 | 54.36 | | computer | 70.21 | 74.62 | | swivel chair | 39.47 | 55.17 | | boat | 79.83 | 88.97 | | bar | 46.31 | 50.88 | | arcade machine | 58.44 | 81.76 | | hovel | 22.09 | 26.72 | | bus | 89.2 | 96.45 | | towel | 66.96 | 82.59 | | light | 62.54 | 76.5 | | truck | 38.5 | 67.3 | | tower | 28.71 | 53.09 | | chandelier | 65.61 | 87.98 | | awning | 37.33 | 50.35 | | streetlight | 39.07 | 56.42 | | booth | 42.6 | 43.59 | | television receiver | 68.14 | 79.21 | | airplane | 63.86 | 70.37 | | dirt track | 0.01 | 0.11 | | apparel | 26.39 | 48.52 | | pole | 33.52 | 54.75 | | land | 3.26 | 3.69 | | bannister | 9.09 | 11.59 | | escalator | 4.28 | 4.75 | | ottoman | 56.81 | 73.73 | | bottle | 28.13 | 34.89 | | buffet | 35.72 | 44.75 | | poster | 12.47 | 18.23 | | stage | 17.96 | 32.28 | | van | 40.37 | 67.98 | | ship | 9.6 | 9.94 | | fountain | 21.07 | 21.52 | | conveyer belt | 37.88 | 64.72 | | canopy | 33.06 | 46.79 | | washer | 72.32 | 74.82 | | plaything | 36.96 | 60.1 | | swimming pool | 58.59 | 59.12 | | stool | 50.87 | 68.63 | | barrel | 66.96 | 74.33 | | basket | 47.14 | 58.11 | | waterfall | 44.15 | 58.17 | | tent | 95.92 | 98.16 | | bag | 19.73 | 25.18 | | minibike | 69.26 | 89.78 | | cradle | 83.44 | 97.85 | | oven | 24.08 | 68.08 | | ball | 41.1 | 47.65 | | food | 61.2 | 74.43 | | step | 9.1 | 13.27 | | tank | 55.48 | 56.69 | | trade name | 29.32 | 37.4 | | microwave | 49.14 | 53.31 | | pot | 48.27 | 59.91 | | animal | 66.33 | 68.17 | | bicycle | 65.11 | 81.3 | | lake | 0.0 | 0.0 | | dishwasher | 74.81 | 86.02 | | screen | 57.99 | 88.51 | | blanket | 29.25 | 38.16 | | sculpture | 63.67 | 86.64 | | hood | 61.85 | 72.23 | | sconce | 52.0 | 70.47 | | vase | 50.16 | 74.89 | | traffic light | 40.59 | 72.01 | | tray | 16.01 | 38.2 | | ashcan | 48.06 | 66.3 | | fan | 66.06 | 80.98 | | pier | 23.11 | 28.84 | | crt screen | 5.03 | 15.97 | | plate | 62.92 | 78.29 | | monitor | 1.76 | 1.99 | | bulletin board | 30.51 | 53.99 | | shower | 16.98 | 21.76 | | radiator | 64.39 | 79.4 | | glass | 21.64 | 24.19 | | clock | 47.18 | 64.02 | | flag | 51.2 | 55.83 | +---------------------+-------+-------+ 2023-11-12 03:17:37,266 - mmseg - INFO - Summary: 2023-11-12 03:17:37,266 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.32 | 50.48 | 63.99 | +-------+-------+-------+ 2023-11-12 03:17:37,364 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_26000.pth was removed 2023-11-12 03:17:41,009 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. 2023-11-12 03:17:41,010 - mmseg - INFO - Best mIoU is 0.5048 at 32000 iter. 2023-11-12 03:17:41,010 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 03:17:41,010 - mmseg - INFO - Iter(val) [250] aAcc: 0.8332, mIoU: 0.5048, mAcc: 0.6399, IoU.wall: 0.7812, IoU.building: 0.8127, IoU.sky: 0.9500, IoU.floor: 0.8270, IoU.tree: 0.7569, IoU.ceiling: 0.8317, IoU.road: 0.8458, IoU.bed : 0.9031, IoU.windowpane: 0.6319, IoU.grass: 0.6568, IoU.cabinet: 0.6192, IoU.sidewalk: 0.6487, IoU.person: 0.8440, IoU.earth: 0.3723, IoU.door: 0.4920, IoU.table: 0.6318, IoU.mountain: 0.6108, IoU.plant: 0.5416, IoU.curtain: 0.7945, IoU.chair: 0.6204, IoU.car: 0.8335, IoU.water: 0.5177, IoU.painting: 0.6895, IoU.sofa: 0.6991, IoU.shelf: 0.4683, IoU.house: 0.4505, IoU.sea: 0.6754, IoU.mirror: 0.6792, IoU.rug: 0.6879, IoU.field: 0.3379, IoU.armchair: 0.4634, IoU.seat: 0.6230, IoU.fence: 0.4485, IoU.desk: 0.4825, IoU.rock: 0.5260, IoU.wardrobe: 0.4986, IoU.lamp: 0.6731, IoU.bathtub: 0.8228, IoU.railing: 0.3468, IoU.cushion: 0.6027, IoU.base: 0.3548, IoU.box: 0.2881, IoU.column: 0.4610, IoU.signboard: 0.4060, IoU.chest of drawers: 0.3747, IoU.counter: 0.4773, IoU.sand: 0.4404, IoU.sink: 0.7864, IoU.skyscraper: 0.3596, IoU.fireplace: 0.6980, IoU.refrigerator: 0.7767, IoU.grandstand: 0.4161, IoU.path: 0.2090, IoU.stairs: 0.2909, IoU.runway: 0.7723, IoU.case: 0.6882, IoU.pool table: 0.9477, IoU.pillow: 0.5379, IoU.screen door: 0.6854, IoU.stairway: 0.3080, IoU.river: 0.1987, IoU.bridge: 0.6818, IoU.bookcase: 0.3552, IoU.blind: 0.4491, IoU.coffee table: 0.6117, IoU.toilet: 0.8838, IoU.flower: 0.4290, IoU.book: 0.4821, IoU.hill: 0.0908, IoU.bench: 0.5318, IoU.countertop: 0.6192, IoU.stove: 0.8230, IoU.palm: 0.5613, IoU.kitchen island: 0.3461, IoU.computer: 0.7021, IoU.swivel chair: 0.3947, IoU.boat: 0.7983, IoU.bar: 0.4631, IoU.arcade machine: 0.5844, IoU.hovel: 0.2209, IoU.bus: 0.8920, IoU.towel: 0.6696, IoU.light: 0.6254, IoU.truck: 0.3850, IoU.tower: 0.2871, IoU.chandelier: 0.6561, IoU.awning: 0.3733, IoU.streetlight: 0.3907, IoU.booth: 0.4260, IoU.television receiver: 0.6814, IoU.airplane: 0.6386, IoU.dirt track: 0.0001, IoU.apparel: 0.2639, IoU.pole: 0.3352, IoU.land: 0.0326, IoU.bannister: 0.0909, IoU.escalator: 0.0428, IoU.ottoman: 0.5681, IoU.bottle: 0.2813, IoU.buffet: 0.3572, IoU.poster: 0.1247, IoU.stage: 0.1796, IoU.van: 0.4037, IoU.ship: 0.0960, IoU.fountain: 0.2107, IoU.conveyer belt: 0.3788, IoU.canopy: 0.3306, IoU.washer: 0.7232, IoU.plaything: 0.3696, IoU.swimming pool: 0.5859, IoU.stool: 0.5087, IoU.barrel: 0.6696, IoU.basket: 0.4714, IoU.waterfall: 0.4415, IoU.tent: 0.9592, IoU.bag: 0.1973, IoU.minibike: 0.6926, IoU.cradle: 0.8344, IoU.oven: 0.2408, IoU.ball: 0.4110, IoU.food: 0.6120, IoU.step: 0.0910, IoU.tank: 0.5548, IoU.trade name: 0.2932, IoU.microwave: 0.4914, IoU.pot: 0.4827, IoU.animal: 0.6633, IoU.bicycle: 0.6511, IoU.lake: 0.0000, IoU.dishwasher: 0.7481, IoU.screen: 0.5799, IoU.blanket: 0.2925, IoU.sculpture: 0.6367, IoU.hood: 0.6185, IoU.sconce: 0.5200, IoU.vase: 0.5016, IoU.traffic light: 0.4059, IoU.tray: 0.1601, IoU.ashcan: 0.4806, IoU.fan: 0.6606, IoU.pier: 0.2311, IoU.crt screen: 0.0503, IoU.plate: 0.6292, IoU.monitor: 0.0176, IoU.bulletin board: 0.3051, IoU.shower: 0.1698, IoU.radiator: 0.6439, IoU.glass: 0.2164, IoU.clock: 0.4718, IoU.flag: 0.5120, Acc.wall: 0.8808, Acc.building: 0.8930, Acc.sky: 0.9697, Acc.floor: 0.9000, Acc.tree: 0.8584, Acc.ceiling: 0.8820, Acc.road: 0.8821, Acc.bed : 0.9481, Acc.windowpane: 0.7658, Acc.grass: 0.8094, Acc.cabinet: 0.8079, Acc.sidewalk: 0.8617, Acc.person: 0.9046, Acc.earth: 0.5193, Acc.door: 0.6611, Acc.table: 0.7658, Acc.mountain: 0.7023, Acc.plant: 0.7136, Acc.curtain: 0.8823, Acc.chair: 0.7417, Acc.car: 0.8865, Acc.water: 0.6865, Acc.painting: 0.8645, Acc.sofa: 0.8751, Acc.shelf: 0.6665, Acc.house: 0.8252, Acc.sea: 0.8799, Acc.mirror: 0.7676, Acc.rug: 0.8288, Acc.field: 0.6664, Acc.armchair: 0.6182, Acc.seat: 0.8550, Acc.fence: 0.6371, Acc.desk: 0.7079, Acc.rock: 0.8266, Acc.wardrobe: 0.5723, Acc.lamp: 0.7922, Acc.bathtub: 0.8568, Acc.railing: 0.5975, Acc.cushion: 0.8171, Acc.base: 0.5383, Acc.box: 0.4128, Acc.column: 0.7296, Acc.signboard: 0.5642, Acc.chest of drawers: 0.6667, Acc.counter: 0.6088, Acc.sand: 0.5181, Acc.sink: 0.8422, Acc.skyscraper: 0.4943, Acc.fireplace: 0.9308, Acc.refrigerator: 0.8635, Acc.grandstand: 0.7882, Acc.path: 0.2999, Acc.stairs: 0.3809, Acc.runway: 0.8978, Acc.case: 0.8241, Acc.pool table: 0.9711, Acc.pillow: 0.6550, Acc.screen door: 0.8098, Acc.stairway: 0.4606, Acc.river: 0.2686, Acc.bridge: 0.9280, Acc.bookcase: 0.5979, Acc.blind: 0.5307, Acc.coffee table: 0.8676, Acc.toilet: 0.9159, Acc.flower: 0.5344, Acc.book: 0.6838, Acc.hill: 0.1770, Acc.bench: 0.7008, Acc.countertop: 0.7587, Acc.stove: 0.8850, Acc.palm: 0.7329, Acc.kitchen island: 0.5436, Acc.computer: 0.7462, Acc.swivel chair: 0.5517, Acc.boat: 0.8897, Acc.bar: 0.5088, Acc.arcade machine: 0.8176, Acc.hovel: 0.2672, Acc.bus: 0.9645, Acc.towel: 0.8259, Acc.light: 0.7650, Acc.truck: 0.6730, Acc.tower: 0.5309, Acc.chandelier: 0.8798, Acc.awning: 0.5035, Acc.streetlight: 0.5642, Acc.booth: 0.4359, Acc.television receiver: 0.7921, Acc.airplane: 0.7037, Acc.dirt track: 0.0011, Acc.apparel: 0.4852, Acc.pole: 0.5475, Acc.land: 0.0369, Acc.bannister: 0.1159, Acc.escalator: 0.0475, Acc.ottoman: 0.7373, Acc.bottle: 0.3489, Acc.buffet: 0.4475, Acc.poster: 0.1823, Acc.stage: 0.3228, Acc.van: 0.6798, Acc.ship: 0.0994, Acc.fountain: 0.2152, Acc.conveyer belt: 0.6472, Acc.canopy: 0.4679, Acc.washer: 0.7482, Acc.plaything: 0.6010, Acc.swimming pool: 0.5912, Acc.stool: 0.6863, Acc.barrel: 0.7433, Acc.basket: 0.5811, Acc.waterfall: 0.5817, Acc.tent: 0.9816, Acc.bag: 0.2518, Acc.minibike: 0.8978, Acc.cradle: 0.9785, Acc.oven: 0.6808, Acc.ball: 0.4765, Acc.food: 0.7443, Acc.step: 0.1327, Acc.tank: 0.5669, Acc.trade name: 0.3740, Acc.microwave: 0.5331, Acc.pot: 0.5991, Acc.animal: 0.6817, Acc.bicycle: 0.8130, Acc.lake: 0.0000, Acc.dishwasher: 0.8602, Acc.screen: 0.8851, Acc.blanket: 0.3816, Acc.sculpture: 0.8664, Acc.hood: 0.7223, Acc.sconce: 0.7047, Acc.vase: 0.7489, Acc.traffic light: 0.7201, Acc.tray: 0.3820, Acc.ashcan: 0.6630, Acc.fan: 0.8098, Acc.pier: 0.2884, Acc.crt screen: 0.1597, Acc.plate: 0.7829, Acc.monitor: 0.0199, Acc.bulletin board: 0.5399, Acc.shower: 0.2176, Acc.radiator: 0.7940, Acc.glass: 0.2419, Acc.clock: 0.6402, Acc.flag: 0.5583 2023-11-12 03:18:05,314 - mmseg - INFO - Iter [32050/160000] lr: 7.997e-05, eta: 18:08:57, time: 1.121, data_time: 0.648, memory: 41146, decode.loss_cls: 0.4628, decode.loss_mask: 0.6355, decode.loss_dice: 0.8814, decode.d0.loss_cls: 1.4754, decode.d0.loss_mask: 0.6695, decode.d0.loss_dice: 0.9876, decode.d1.loss_cls: 0.5587, decode.d1.loss_mask: 0.6534, decode.d1.loss_dice: 0.9381, decode.d2.loss_cls: 0.4994, decode.d2.loss_mask: 0.6397, decode.d2.loss_dice: 0.9112, decode.d3.loss_cls: 0.4821, decode.d3.loss_mask: 0.6371, decode.d3.loss_dice: 0.8932, decode.d4.loss_cls: 0.4757, decode.d4.loss_mask: 0.6354, decode.d4.loss_dice: 0.8924, decode.d5.loss_cls: 0.4679, decode.d5.loss_mask: 0.6359, decode.d5.loss_dice: 0.8875, decode.d6.loss_cls: 0.4629, decode.d6.loss_mask: 0.6351, decode.d6.loss_dice: 0.8829, decode.d7.loss_cls: 0.4578, decode.d7.loss_mask: 0.6318, decode.d7.loss_dice: 0.8870, decode.d8.loss_cls: 0.4567, decode.d8.loss_mask: 0.6339, decode.d8.loss_dice: 0.8881, loss: 21.2560, grad_norm: 46.9656 2023-11-12 03:18:29,671 - mmseg - INFO - Iter [32100/160000] lr: 7.994e-05, eta: 18:08:27, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4621, decode.loss_mask: 0.6304, decode.loss_dice: 0.9257, decode.d0.loss_cls: 1.4909, decode.d0.loss_mask: 0.6632, decode.d0.loss_dice: 1.0202, decode.d1.loss_cls: 0.5697, decode.d1.loss_mask: 0.6510, decode.d1.loss_dice: 0.9798, decode.d2.loss_cls: 0.5107, decode.d2.loss_mask: 0.6379, decode.d2.loss_dice: 0.9514, decode.d3.loss_cls: 0.4906, decode.d3.loss_mask: 0.6336, decode.d3.loss_dice: 0.9377, decode.d4.loss_cls: 0.4828, decode.d4.loss_mask: 0.6357, decode.d4.loss_dice: 0.9316, decode.d5.loss_cls: 0.4793, decode.d5.loss_mask: 0.6322, decode.d5.loss_dice: 0.9313, decode.d6.loss_cls: 0.4723, decode.d6.loss_mask: 0.6326, decode.d6.loss_dice: 0.9260, decode.d7.loss_cls: 0.4674, decode.d7.loss_mask: 0.6301, decode.d7.loss_dice: 0.9299, decode.d8.loss_cls: 0.4685, decode.d8.loss_mask: 0.6325, decode.d8.loss_dice: 0.9290, loss: 21.7361, grad_norm: 48.7614 2023-11-12 03:18:54,695 - mmseg - INFO - Iter [32150/160000] lr: 7.991e-05, eta: 18:07:59, time: 0.500, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4582, decode.loss_mask: 0.6366, decode.loss_dice: 0.8980, decode.d0.loss_cls: 1.4854, decode.d0.loss_mask: 0.6685, decode.d0.loss_dice: 0.9847, decode.d1.loss_cls: 0.5588, decode.d1.loss_mask: 0.6586, decode.d1.loss_dice: 0.9604, decode.d2.loss_cls: 0.5041, decode.d2.loss_mask: 0.6473, decode.d2.loss_dice: 0.9309, decode.d3.loss_cls: 0.4743, decode.d3.loss_mask: 0.6400, decode.d3.loss_dice: 0.9133, decode.d4.loss_cls: 0.4688, decode.d4.loss_mask: 0.6389, decode.d4.loss_dice: 0.9165, decode.d5.loss_cls: 0.4684, decode.d5.loss_mask: 0.6376, decode.d5.loss_dice: 0.9133, decode.d6.loss_cls: 0.4606, decode.d6.loss_mask: 0.6336, decode.d6.loss_dice: 0.8974, decode.d7.loss_cls: 0.4586, decode.d7.loss_mask: 0.6363, decode.d7.loss_dice: 0.8993, decode.d8.loss_cls: 0.4603, decode.d8.loss_mask: 0.6340, decode.d8.loss_dice: 0.8952, loss: 21.4382, grad_norm: 48.0945 2023-11-12 03:19:20,324 - mmseg - INFO - Iter [32200/160000] lr: 7.988e-05, eta: 18:07:34, time: 0.513, data_time: 0.015, memory: 41146, decode.loss_cls: 0.4423, decode.loss_mask: 0.6060, decode.loss_dice: 0.9251, decode.d0.loss_cls: 1.4440, decode.d0.loss_mask: 0.6393, decode.d0.loss_dice: 1.0184, decode.d1.loss_cls: 0.5413, decode.d1.loss_mask: 0.6245, decode.d1.loss_dice: 0.9764, decode.d2.loss_cls: 0.4994, decode.d2.loss_mask: 0.6111, decode.d2.loss_dice: 0.9417, decode.d3.loss_cls: 0.4767, decode.d3.loss_mask: 0.6075, decode.d3.loss_dice: 0.9300, decode.d4.loss_cls: 0.4644, decode.d4.loss_mask: 0.6058, decode.d4.loss_dice: 0.9302, decode.d5.loss_cls: 0.4574, decode.d5.loss_mask: 0.6046, decode.d5.loss_dice: 0.9264, decode.d6.loss_cls: 0.4583, decode.d6.loss_mask: 0.6025, decode.d6.loss_dice: 0.9191, decode.d7.loss_cls: 0.4523, decode.d7.loss_mask: 0.6047, decode.d7.loss_dice: 0.9213, decode.d8.loss_cls: 0.4426, decode.d8.loss_mask: 0.6067, decode.d8.loss_dice: 0.9249, loss: 21.2048, grad_norm: 45.0106 2023-11-12 03:19:45,771 - mmseg - INFO - Iter [32250/160000] lr: 7.984e-05, eta: 18:07:08, time: 0.509, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4759, decode.loss_mask: 0.6037, decode.loss_dice: 0.8939, decode.d0.loss_cls: 1.4968, decode.d0.loss_mask: 0.6370, decode.d0.loss_dice: 0.9983, decode.d1.loss_cls: 0.5732, decode.d1.loss_mask: 0.6303, decode.d1.loss_dice: 0.9631, decode.d2.loss_cls: 0.5146, decode.d2.loss_mask: 0.6171, decode.d2.loss_dice: 0.9250, decode.d3.loss_cls: 0.4967, decode.d3.loss_mask: 0.6073, decode.d3.loss_dice: 0.9028, decode.d4.loss_cls: 0.4924, decode.d4.loss_mask: 0.6074, decode.d4.loss_dice: 0.9070, decode.d5.loss_cls: 0.4806, decode.d5.loss_mask: 0.6051, decode.d5.loss_dice: 0.9043, decode.d6.loss_cls: 0.4863, decode.d6.loss_mask: 0.6043, decode.d6.loss_dice: 0.8976, decode.d7.loss_cls: 0.4803, decode.d7.loss_mask: 0.6036, decode.d7.loss_dice: 0.9016, decode.d8.loss_cls: 0.4791, decode.d8.loss_mask: 0.6038, decode.d8.loss_dice: 0.8985, loss: 21.2877, grad_norm: 49.5306 2023-11-12 03:20:10,663 - mmseg - INFO - Iter [32300/160000] lr: 7.981e-05, eta: 18:06:40, time: 0.498, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4806, decode.loss_mask: 0.6128, decode.loss_dice: 0.8943, decode.d0.loss_cls: 1.4960, decode.d0.loss_mask: 0.6521, decode.d0.loss_dice: 0.9967, decode.d1.loss_cls: 0.5706, decode.d1.loss_mask: 0.6437, decode.d1.loss_dice: 0.9512, decode.d2.loss_cls: 0.5217, decode.d2.loss_mask: 0.6292, decode.d2.loss_dice: 0.9191, decode.d3.loss_cls: 0.5009, decode.d3.loss_mask: 0.6229, decode.d3.loss_dice: 0.9015, decode.d4.loss_cls: 0.4937, decode.d4.loss_mask: 0.6227, decode.d4.loss_dice: 0.8998, decode.d5.loss_cls: 0.4899, decode.d5.loss_mask: 0.6224, decode.d5.loss_dice: 0.8925, decode.d6.loss_cls: 0.4894, decode.d6.loss_mask: 0.6149, decode.d6.loss_dice: 0.8924, decode.d7.loss_cls: 0.4859, decode.d7.loss_mask: 0.6170, decode.d7.loss_dice: 0.8938, decode.d8.loss_cls: 0.4837, decode.d8.loss_mask: 0.6171, decode.d8.loss_dice: 0.8889, loss: 21.3975, grad_norm: 50.3861 2023-11-12 03:20:37,364 - mmseg - INFO - Iter [32350/160000] lr: 7.978e-05, eta: 18:06:19, time: 0.534, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4674, decode.loss_mask: 0.6248, decode.loss_dice: 0.9034, decode.d0.loss_cls: 1.4851, decode.d0.loss_mask: 0.6641, decode.d0.loss_dice: 1.0101, decode.d1.loss_cls: 0.5888, decode.d1.loss_mask: 0.6483, decode.d1.loss_dice: 0.9650, decode.d2.loss_cls: 0.5204, decode.d2.loss_mask: 0.6348, decode.d2.loss_dice: 0.9311, decode.d3.loss_cls: 0.4976, decode.d3.loss_mask: 0.6264, decode.d3.loss_dice: 0.9069, decode.d4.loss_cls: 0.4878, decode.d4.loss_mask: 0.6202, decode.d4.loss_dice: 0.9131, decode.d5.loss_cls: 0.4842, decode.d5.loss_mask: 0.6245, decode.d5.loss_dice: 0.9072, decode.d6.loss_cls: 0.4760, decode.d6.loss_mask: 0.6287, decode.d6.loss_dice: 0.9042, decode.d7.loss_cls: 0.4656, decode.d7.loss_mask: 0.6251, decode.d7.loss_dice: 0.9062, decode.d8.loss_cls: 0.4697, decode.d8.loss_mask: 0.6270, decode.d8.loss_dice: 0.9103, loss: 21.5240, grad_norm: 50.6749 2023-11-12 03:21:04,246 - mmseg - INFO - Iter [32400/160000] lr: 7.975e-05, eta: 18:05:59, time: 0.538, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4732, decode.loss_mask: 0.6220, decode.loss_dice: 0.8956, decode.d0.loss_cls: 1.4828, decode.d0.loss_mask: 0.6626, decode.d0.loss_dice: 0.9887, decode.d1.loss_cls: 0.5818, decode.d1.loss_mask: 0.6465, decode.d1.loss_dice: 0.9520, decode.d2.loss_cls: 0.5251, decode.d2.loss_mask: 0.6326, decode.d2.loss_dice: 0.9216, decode.d3.loss_cls: 0.5019, decode.d3.loss_mask: 0.6278, decode.d3.loss_dice: 0.8960, decode.d4.loss_cls: 0.4911, decode.d4.loss_mask: 0.6299, decode.d4.loss_dice: 0.9023, decode.d5.loss_cls: 0.4818, decode.d5.loss_mask: 0.6226, decode.d5.loss_dice: 0.9014, decode.d6.loss_cls: 0.4807, decode.d6.loss_mask: 0.6209, decode.d6.loss_dice: 0.8952, decode.d7.loss_cls: 0.4756, decode.d7.loss_mask: 0.6252, decode.d7.loss_dice: 0.8983, decode.d8.loss_cls: 0.4785, decode.d8.loss_mask: 0.6248, decode.d8.loss_dice: 0.8961, loss: 21.4346, grad_norm: 49.7098 2023-11-12 03:21:31,301 - mmseg - INFO - Iter [32450/160000] lr: 7.972e-05, eta: 18:05:40, time: 0.541, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4603, decode.loss_mask: 0.6257, decode.loss_dice: 0.9094, decode.d0.loss_cls: 1.4607, decode.d0.loss_mask: 0.6596, decode.d0.loss_dice: 0.9952, decode.d1.loss_cls: 0.5550, decode.d1.loss_mask: 0.6554, decode.d1.loss_dice: 0.9692, decode.d2.loss_cls: 0.4967, decode.d2.loss_mask: 0.6415, decode.d2.loss_dice: 0.9435, decode.d3.loss_cls: 0.4825, decode.d3.loss_mask: 0.6334, decode.d3.loss_dice: 0.9179, decode.d4.loss_cls: 0.4713, decode.d4.loss_mask: 0.6323, decode.d4.loss_dice: 0.9237, decode.d5.loss_cls: 0.4625, decode.d5.loss_mask: 0.6315, decode.d5.loss_dice: 0.9214, decode.d6.loss_cls: 0.4635, decode.d6.loss_mask: 0.6249, decode.d6.loss_dice: 0.9094, decode.d7.loss_cls: 0.4614, decode.d7.loss_mask: 0.6265, decode.d7.loss_dice: 0.9137, decode.d8.loss_cls: 0.4635, decode.d8.loss_mask: 0.6262, decode.d8.loss_dice: 0.9161, loss: 21.4538, grad_norm: 47.7850 2023-11-12 03:21:55,518 - mmseg - INFO - Iter [32500/160000] lr: 7.969e-05, eta: 18:05:09, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4448, decode.loss_mask: 0.6355, decode.loss_dice: 0.9389, decode.d0.loss_cls: 1.4482, decode.d0.loss_mask: 0.6740, decode.d0.loss_dice: 1.0246, decode.d1.loss_cls: 0.5358, decode.d1.loss_mask: 0.6619, decode.d1.loss_dice: 0.9915, decode.d2.loss_cls: 0.4841, decode.d2.loss_mask: 0.6499, decode.d2.loss_dice: 0.9663, decode.d3.loss_cls: 0.4640, decode.d3.loss_mask: 0.6399, decode.d3.loss_dice: 0.9418, decode.d4.loss_cls: 0.4595, decode.d4.loss_mask: 0.6368, decode.d4.loss_dice: 0.9461, decode.d5.loss_cls: 0.4532, decode.d5.loss_mask: 0.6344, decode.d5.loss_dice: 0.9434, decode.d6.loss_cls: 0.4571, decode.d6.loss_mask: 0.6364, decode.d6.loss_dice: 0.9333, decode.d7.loss_cls: 0.4500, decode.d7.loss_mask: 0.6364, decode.d7.loss_dice: 0.9355, decode.d8.loss_cls: 0.4547, decode.d8.loss_mask: 0.6370, decode.d8.loss_dice: 0.9387, loss: 21.6535, grad_norm: 46.7416 2023-11-12 03:22:19,747 - mmseg - INFO - Iter [32550/160000] lr: 7.966e-05, eta: 18:04:38, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4437, decode.loss_mask: 0.6137, decode.loss_dice: 0.9000, decode.d0.loss_cls: 1.4575, decode.d0.loss_mask: 0.6595, decode.d0.loss_dice: 0.9998, decode.d1.loss_cls: 0.5347, decode.d1.loss_mask: 0.6402, decode.d1.loss_dice: 0.9694, decode.d2.loss_cls: 0.4821, decode.d2.loss_mask: 0.6275, decode.d2.loss_dice: 0.9373, decode.d3.loss_cls: 0.4557, decode.d3.loss_mask: 0.6202, decode.d3.loss_dice: 0.9153, decode.d4.loss_cls: 0.4442, decode.d4.loss_mask: 0.6235, decode.d4.loss_dice: 0.9172, decode.d5.loss_cls: 0.4541, decode.d5.loss_mask: 0.6205, decode.d5.loss_dice: 0.9072, decode.d6.loss_cls: 0.4546, decode.d6.loss_mask: 0.6184, decode.d6.loss_dice: 0.8987, decode.d7.loss_cls: 0.4422, decode.d7.loss_mask: 0.6172, decode.d7.loss_dice: 0.9032, decode.d8.loss_cls: 0.4443, decode.d8.loss_mask: 0.6178, decode.d8.loss_dice: 0.9065, loss: 21.1261, grad_norm: 45.0282 2023-11-12 03:22:44,134 - mmseg - INFO - Iter [32600/160000] lr: 7.963e-05, eta: 18:04:08, time: 0.488, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4684, decode.loss_mask: 0.6096, decode.loss_dice: 0.8923, decode.d0.loss_cls: 1.4997, decode.d0.loss_mask: 0.6395, decode.d0.loss_dice: 0.9910, decode.d1.loss_cls: 0.5635, decode.d1.loss_mask: 0.6262, decode.d1.loss_dice: 0.9581, decode.d2.loss_cls: 0.5054, decode.d2.loss_mask: 0.6185, decode.d2.loss_dice: 0.9167, decode.d3.loss_cls: 0.4835, decode.d3.loss_mask: 0.6106, decode.d3.loss_dice: 0.9036, decode.d4.loss_cls: 0.4733, decode.d4.loss_mask: 0.6115, decode.d4.loss_dice: 0.9020, decode.d5.loss_cls: 0.4817, decode.d5.loss_mask: 0.6097, decode.d5.loss_dice: 0.8917, decode.d6.loss_cls: 0.4772, decode.d6.loss_mask: 0.6064, decode.d6.loss_dice: 0.8841, decode.d7.loss_cls: 0.4702, decode.d7.loss_mask: 0.6070, decode.d7.loss_dice: 0.8942, decode.d8.loss_cls: 0.4696, decode.d8.loss_mask: 0.6086, decode.d8.loss_dice: 0.8940, loss: 21.1677, grad_norm: 47.6539 2023-11-12 03:23:08,306 - mmseg - INFO - Iter [32650/160000] lr: 7.959e-05, eta: 18:03:38, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4471, decode.loss_mask: 0.6111, decode.loss_dice: 0.8695, decode.d0.loss_cls: 1.4432, decode.d0.loss_mask: 0.6483, decode.d0.loss_dice: 0.9640, decode.d1.loss_cls: 0.5375, decode.d1.loss_mask: 0.6336, decode.d1.loss_dice: 0.9190, decode.d2.loss_cls: 0.4869, decode.d2.loss_mask: 0.6190, decode.d2.loss_dice: 0.8916, decode.d3.loss_cls: 0.4684, decode.d3.loss_mask: 0.6184, decode.d3.loss_dice: 0.8747, decode.d4.loss_cls: 0.4602, decode.d4.loss_mask: 0.6141, decode.d4.loss_dice: 0.8759, decode.d5.loss_cls: 0.4586, decode.d5.loss_mask: 0.6067, decode.d5.loss_dice: 0.8717, decode.d6.loss_cls: 0.4544, decode.d6.loss_mask: 0.6060, decode.d6.loss_dice: 0.8636, decode.d7.loss_cls: 0.4485, decode.d7.loss_mask: 0.6069, decode.d7.loss_dice: 0.8716, decode.d8.loss_cls: 0.4549, decode.d8.loss_mask: 0.6053, decode.d8.loss_dice: 0.8684, loss: 20.6990, grad_norm: 50.9503 2023-11-12 03:23:32,780 - mmseg - INFO - Iter [32700/160000] lr: 7.956e-05, eta: 18:03:08, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4555, decode.loss_mask: 0.6188, decode.loss_dice: 0.8911, decode.d0.loss_cls: 1.4558, decode.d0.loss_mask: 0.6540, decode.d0.loss_dice: 0.9919, decode.d1.loss_cls: 0.5514, decode.d1.loss_mask: 0.6395, decode.d1.loss_dice: 0.9474, decode.d2.loss_cls: 0.5037, decode.d2.loss_mask: 0.6250, decode.d2.loss_dice: 0.9201, decode.d3.loss_cls: 0.4812, decode.d3.loss_mask: 0.6208, decode.d3.loss_dice: 0.9055, decode.d4.loss_cls: 0.4698, decode.d4.loss_mask: 0.6180, decode.d4.loss_dice: 0.9050, decode.d5.loss_cls: 0.4653, decode.d5.loss_mask: 0.6171, decode.d5.loss_dice: 0.8975, decode.d6.loss_cls: 0.4606, decode.d6.loss_mask: 0.6182, decode.d6.loss_dice: 0.8911, decode.d7.loss_cls: 0.4556, decode.d7.loss_mask: 0.6174, decode.d7.loss_dice: 0.8987, decode.d8.loss_cls: 0.4510, decode.d8.loss_mask: 0.6169, decode.d8.loss_dice: 0.8962, loss: 21.1400, grad_norm: 46.9035 2023-11-12 03:23:57,071 - mmseg - INFO - Iter [32750/160000] lr: 7.953e-05, eta: 18:02:38, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4509, decode.loss_mask: 0.6467, decode.loss_dice: 0.8876, decode.d0.loss_cls: 1.4272, decode.d0.loss_mask: 0.6856, decode.d0.loss_dice: 0.9825, decode.d1.loss_cls: 0.5277, decode.d1.loss_mask: 0.6758, decode.d1.loss_dice: 0.9484, decode.d2.loss_cls: 0.4848, decode.d2.loss_mask: 0.6580, decode.d2.loss_dice: 0.9173, decode.d3.loss_cls: 0.4651, decode.d3.loss_mask: 0.6493, decode.d3.loss_dice: 0.9062, decode.d4.loss_cls: 0.4557, decode.d4.loss_mask: 0.6495, decode.d4.loss_dice: 0.9003, decode.d5.loss_cls: 0.4580, decode.d5.loss_mask: 0.6482, decode.d5.loss_dice: 0.8895, decode.d6.loss_cls: 0.4583, decode.d6.loss_mask: 0.6438, decode.d6.loss_dice: 0.8794, decode.d7.loss_cls: 0.4500, decode.d7.loss_mask: 0.6422, decode.d7.loss_dice: 0.8850, decode.d8.loss_cls: 0.4499, decode.d8.loss_mask: 0.6429, decode.d8.loss_dice: 0.8872, loss: 21.2531, grad_norm: 46.3027 2023-11-12 03:24:28,243 - mmseg - INFO - Iter [32800/160000] lr: 7.950e-05, eta: 18:02:34, time: 0.623, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4769, decode.loss_mask: 0.6448, decode.loss_dice: 0.9352, decode.d0.loss_cls: 1.4910, decode.d0.loss_mask: 0.6911, decode.d0.loss_dice: 1.0374, decode.d1.loss_cls: 0.5766, decode.d1.loss_mask: 0.6649, decode.d1.loss_dice: 0.9922, decode.d2.loss_cls: 0.5193, decode.d2.loss_mask: 0.6646, decode.d2.loss_dice: 0.9650, decode.d3.loss_cls: 0.4907, decode.d3.loss_mask: 0.6526, decode.d3.loss_dice: 0.9484, decode.d4.loss_cls: 0.4809, decode.d4.loss_mask: 0.6527, decode.d4.loss_dice: 0.9463, decode.d5.loss_cls: 0.4832, decode.d5.loss_mask: 0.6470, decode.d5.loss_dice: 0.9486, decode.d6.loss_cls: 0.4817, decode.d6.loss_mask: 0.6450, decode.d6.loss_dice: 0.9337, decode.d7.loss_cls: 0.4752, decode.d7.loss_mask: 0.6464, decode.d7.loss_dice: 0.9336, decode.d8.loss_cls: 0.4762, decode.d8.loss_mask: 0.6468, decode.d8.loss_dice: 0.9340, loss: 22.0819, grad_norm: 48.9371 2023-11-12 03:24:58,761 - mmseg - INFO - Iter [32850/160000] lr: 7.947e-05, eta: 18:02:28, time: 0.610, data_time: 0.061, memory: 41146, decode.loss_cls: 0.4338, decode.loss_mask: 0.6323, decode.loss_dice: 0.9009, decode.d0.loss_cls: 1.4382, decode.d0.loss_mask: 0.6612, decode.d0.loss_dice: 0.9947, decode.d1.loss_cls: 0.5176, decode.d1.loss_mask: 0.6525, decode.d1.loss_dice: 0.9556, decode.d2.loss_cls: 0.4611, decode.d2.loss_mask: 0.6391, decode.d2.loss_dice: 0.9243, decode.d3.loss_cls: 0.4521, decode.d3.loss_mask: 0.6367, decode.d3.loss_dice: 0.9078, decode.d4.loss_cls: 0.4438, decode.d4.loss_mask: 0.6317, decode.d4.loss_dice: 0.9142, decode.d5.loss_cls: 0.4409, decode.d5.loss_mask: 0.6326, decode.d5.loss_dice: 0.9059, decode.d6.loss_cls: 0.4407, decode.d6.loss_mask: 0.6301, decode.d6.loss_dice: 0.8974, decode.d7.loss_cls: 0.4427, decode.d7.loss_mask: 0.6291, decode.d7.loss_dice: 0.9003, decode.d8.loss_cls: 0.4329, decode.d8.loss_mask: 0.6319, decode.d8.loss_dice: 0.9047, loss: 21.0869, grad_norm: 44.9834 2023-11-12 03:25:27,483 - mmseg - INFO - Iter [32900/160000] lr: 7.944e-05, eta: 18:02:14, time: 0.574, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4481, decode.loss_mask: 0.6107, decode.loss_dice: 0.9135, decode.d0.loss_cls: 1.4544, decode.d0.loss_mask: 0.6448, decode.d0.loss_dice: 1.0132, decode.d1.loss_cls: 0.5457, decode.d1.loss_mask: 0.6295, decode.d1.loss_dice: 0.9755, decode.d2.loss_cls: 0.4967, decode.d2.loss_mask: 0.6147, decode.d2.loss_dice: 0.9383, decode.d3.loss_cls: 0.4721, decode.d3.loss_mask: 0.6103, decode.d3.loss_dice: 0.9223, decode.d4.loss_cls: 0.4608, decode.d4.loss_mask: 0.6128, decode.d4.loss_dice: 0.9235, decode.d5.loss_cls: 0.4539, decode.d5.loss_mask: 0.6091, decode.d5.loss_dice: 0.9266, decode.d6.loss_cls: 0.4548, decode.d6.loss_mask: 0.6081, decode.d6.loss_dice: 0.9141, decode.d7.loss_cls: 0.4470, decode.d7.loss_mask: 0.6096, decode.d7.loss_dice: 0.9119, decode.d8.loss_cls: 0.4513, decode.d8.loss_mask: 0.6073, decode.d8.loss_dice: 0.9116, loss: 21.1921, grad_norm: 46.1770 2023-11-12 03:25:52,667 - mmseg - INFO - Iter [32950/160000] lr: 7.941e-05, eta: 18:01:48, time: 0.504, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4551, decode.loss_mask: 0.5895, decode.loss_dice: 0.8638, decode.d0.loss_cls: 1.4692, decode.d0.loss_mask: 0.6219, decode.d0.loss_dice: 0.9681, decode.d1.loss_cls: 0.5527, decode.d1.loss_mask: 0.6141, decode.d1.loss_dice: 0.9208, decode.d2.loss_cls: 0.4984, decode.d2.loss_mask: 0.5995, decode.d2.loss_dice: 0.8863, decode.d3.loss_cls: 0.4750, decode.d3.loss_mask: 0.5961, decode.d3.loss_dice: 0.8806, decode.d4.loss_cls: 0.4678, decode.d4.loss_mask: 0.5926, decode.d4.loss_dice: 0.8693, decode.d5.loss_cls: 0.4576, decode.d5.loss_mask: 0.5950, decode.d5.loss_dice: 0.8713, decode.d6.loss_cls: 0.4563, decode.d6.loss_mask: 0.5926, decode.d6.loss_dice: 0.8665, decode.d7.loss_cls: 0.4506, decode.d7.loss_mask: 0.5954, decode.d7.loss_dice: 0.8676, decode.d8.loss_cls: 0.4530, decode.d8.loss_mask: 0.5949, decode.d8.loss_dice: 0.8666, loss: 20.5881, grad_norm: 46.3135 2023-11-12 03:26:21,530 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 03:26:21,530 - mmseg - INFO - Iter [33000/160000] lr: 7.938e-05, eta: 18:01:35, time: 0.577, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4476, decode.loss_mask: 0.6330, decode.loss_dice: 0.9209, decode.d0.loss_cls: 1.4742, decode.d0.loss_mask: 0.6675, decode.d0.loss_dice: 1.0095, decode.d1.loss_cls: 0.5496, decode.d1.loss_mask: 0.6556, decode.d1.loss_dice: 0.9756, decode.d2.loss_cls: 0.4960, decode.d2.loss_mask: 0.6403, decode.d2.loss_dice: 0.9463, decode.d3.loss_cls: 0.4668, decode.d3.loss_mask: 0.6351, decode.d3.loss_dice: 0.9315, decode.d4.loss_cls: 0.4674, decode.d4.loss_mask: 0.6332, decode.d4.loss_dice: 0.9326, decode.d5.loss_cls: 0.4586, decode.d5.loss_mask: 0.6351, decode.d5.loss_dice: 0.9328, decode.d6.loss_cls: 0.4576, decode.d6.loss_mask: 0.6290, decode.d6.loss_dice: 0.9241, decode.d7.loss_cls: 0.4593, decode.d7.loss_mask: 0.6313, decode.d7.loss_dice: 0.9272, decode.d8.loss_cls: 0.4502, decode.d8.loss_mask: 0.6322, decode.d8.loss_dice: 0.9209, loss: 21.5411, grad_norm: 47.8364 2023-11-12 03:26:49,722 - mmseg - INFO - Iter [33050/160000] lr: 7.934e-05, eta: 18:01:19, time: 0.564, data_time: 0.015, memory: 41146, decode.loss_cls: 0.4435, decode.loss_mask: 0.6077, decode.loss_dice: 0.8695, decode.d0.loss_cls: 1.4489, decode.d0.loss_mask: 0.6405, decode.d0.loss_dice: 0.9697, decode.d1.loss_cls: 0.5404, decode.d1.loss_mask: 0.6277, decode.d1.loss_dice: 0.9249, decode.d2.loss_cls: 0.4814, decode.d2.loss_mask: 0.6166, decode.d2.loss_dice: 0.8999, decode.d3.loss_cls: 0.4571, decode.d3.loss_mask: 0.6122, decode.d3.loss_dice: 0.8806, decode.d4.loss_cls: 0.4546, decode.d4.loss_mask: 0.6094, decode.d4.loss_dice: 0.8742, decode.d5.loss_cls: 0.4453, decode.d5.loss_mask: 0.6115, decode.d5.loss_dice: 0.8743, decode.d6.loss_cls: 0.4476, decode.d6.loss_mask: 0.6060, decode.d6.loss_dice: 0.8710, decode.d7.loss_cls: 0.4422, decode.d7.loss_mask: 0.6072, decode.d7.loss_dice: 0.8734, decode.d8.loss_cls: 0.4429, decode.d8.loss_mask: 0.6051, decode.d8.loss_dice: 0.8689, loss: 20.6542, grad_norm: 46.0072 2023-11-12 03:27:15,991 - mmseg - INFO - Iter [33100/160000] lr: 7.931e-05, eta: 18:00:56, time: 0.523, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4390, decode.loss_mask: 0.6373, decode.loss_dice: 0.9059, decode.d0.loss_cls: 1.4727, decode.d0.loss_mask: 0.6702, decode.d0.loss_dice: 0.9918, decode.d1.loss_cls: 0.5468, decode.d1.loss_mask: 0.6569, decode.d1.loss_dice: 0.9628, decode.d2.loss_cls: 0.4860, decode.d2.loss_mask: 0.6397, decode.d2.loss_dice: 0.9366, decode.d3.loss_cls: 0.4676, decode.d3.loss_mask: 0.6392, decode.d3.loss_dice: 0.9145, decode.d4.loss_cls: 0.4575, decode.d4.loss_mask: 0.6369, decode.d4.loss_dice: 0.9125, decode.d5.loss_cls: 0.4529, decode.d5.loss_mask: 0.6357, decode.d5.loss_dice: 0.9150, decode.d6.loss_cls: 0.4457, decode.d6.loss_mask: 0.6370, decode.d6.loss_dice: 0.9064, decode.d7.loss_cls: 0.4404, decode.d7.loss_mask: 0.6387, decode.d7.loss_dice: 0.9037, decode.d8.loss_cls: 0.4390, decode.d8.loss_mask: 0.6354, decode.d8.loss_dice: 0.9046, loss: 21.3284, grad_norm: 47.2222 2023-11-12 03:27:40,242 - mmseg - INFO - Iter [33150/160000] lr: 7.928e-05, eta: 18:00:26, time: 0.487, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4505, decode.loss_mask: 0.6246, decode.loss_dice: 0.9082, decode.d0.loss_cls: 1.4522, decode.d0.loss_mask: 0.6592, decode.d0.loss_dice: 1.0091, decode.d1.loss_cls: 0.5565, decode.d1.loss_mask: 0.6413, decode.d1.loss_dice: 0.9569, decode.d2.loss_cls: 0.5051, decode.d2.loss_mask: 0.6295, decode.d2.loss_dice: 0.9307, decode.d3.loss_cls: 0.4799, decode.d3.loss_mask: 0.6260, decode.d3.loss_dice: 0.9125, decode.d4.loss_cls: 0.4759, decode.d4.loss_mask: 0.6274, decode.d4.loss_dice: 0.9071, decode.d5.loss_cls: 0.4629, decode.d5.loss_mask: 0.6231, decode.d5.loss_dice: 0.9110, decode.d6.loss_cls: 0.4581, decode.d6.loss_mask: 0.6267, decode.d6.loss_dice: 0.9089, decode.d7.loss_cls: 0.4502, decode.d7.loss_mask: 0.6230, decode.d7.loss_dice: 0.9110, decode.d8.loss_cls: 0.4498, decode.d8.loss_mask: 0.6257, decode.d8.loss_dice: 0.9088, loss: 21.3121, grad_norm: 48.6324 2023-11-12 03:28:07,525 - mmseg - INFO - Iter [33200/160000] lr: 7.925e-05, eta: 18:00:07, time: 0.546, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4412, decode.loss_mask: 0.6070, decode.loss_dice: 0.8814, decode.d0.loss_cls: 1.4611, decode.d0.loss_mask: 0.6417, decode.d0.loss_dice: 0.9859, decode.d1.loss_cls: 0.5371, decode.d1.loss_mask: 0.6225, decode.d1.loss_dice: 0.9398, decode.d2.loss_cls: 0.4911, decode.d2.loss_mask: 0.6121, decode.d2.loss_dice: 0.9126, decode.d3.loss_cls: 0.4687, decode.d3.loss_mask: 0.6056, decode.d3.loss_dice: 0.8901, decode.d4.loss_cls: 0.4536, decode.d4.loss_mask: 0.6058, decode.d4.loss_dice: 0.8893, decode.d5.loss_cls: 0.4500, decode.d5.loss_mask: 0.6061, decode.d5.loss_dice: 0.8911, decode.d6.loss_cls: 0.4438, decode.d6.loss_mask: 0.6029, decode.d6.loss_dice: 0.8790, decode.d7.loss_cls: 0.4423, decode.d7.loss_mask: 0.6029, decode.d7.loss_dice: 0.8797, decode.d8.loss_cls: 0.4392, decode.d8.loss_mask: 0.6058, decode.d8.loss_dice: 0.8871, loss: 20.7764, grad_norm: 46.7256 2023-11-12 03:28:34,211 - mmseg - INFO - Iter [33250/160000] lr: 7.922e-05, eta: 17:59:46, time: 0.534, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4705, decode.loss_mask: 0.5998, decode.loss_dice: 0.8744, decode.d0.loss_cls: 1.4696, decode.d0.loss_mask: 0.6332, decode.d0.loss_dice: 0.9759, decode.d1.loss_cls: 0.5630, decode.d1.loss_mask: 0.6257, decode.d1.loss_dice: 0.9322, decode.d2.loss_cls: 0.5096, decode.d2.loss_mask: 0.6130, decode.d2.loss_dice: 0.8951, decode.d3.loss_cls: 0.4832, decode.d3.loss_mask: 0.6074, decode.d3.loss_dice: 0.8801, decode.d4.loss_cls: 0.4784, decode.d4.loss_mask: 0.6050, decode.d4.loss_dice: 0.8746, decode.d5.loss_cls: 0.4824, decode.d5.loss_mask: 0.6067, decode.d5.loss_dice: 0.8772, decode.d6.loss_cls: 0.4780, decode.d6.loss_mask: 0.6013, decode.d6.loss_dice: 0.8639, decode.d7.loss_cls: 0.4765, decode.d7.loss_mask: 0.6024, decode.d7.loss_dice: 0.8652, decode.d8.loss_cls: 0.4722, decode.d8.loss_mask: 0.6020, decode.d8.loss_dice: 0.8744, loss: 20.8928, grad_norm: 46.8246 2023-11-12 03:29:02,308 - mmseg - INFO - Iter [33300/160000] lr: 7.919e-05, eta: 17:59:30, time: 0.562, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4543, decode.loss_mask: 0.6103, decode.loss_dice: 0.8977, decode.d0.loss_cls: 1.4779, decode.d0.loss_mask: 0.6489, decode.d0.loss_dice: 1.0085, decode.d1.loss_cls: 0.5444, decode.d1.loss_mask: 0.6345, decode.d1.loss_dice: 0.9662, decode.d2.loss_cls: 0.5020, decode.d2.loss_mask: 0.6199, decode.d2.loss_dice: 0.9267, decode.d3.loss_cls: 0.4762, decode.d3.loss_mask: 0.6135, decode.d3.loss_dice: 0.9085, decode.d4.loss_cls: 0.4646, decode.d4.loss_mask: 0.6146, decode.d4.loss_dice: 0.9089, decode.d5.loss_cls: 0.4690, decode.d5.loss_mask: 0.6123, decode.d5.loss_dice: 0.9079, decode.d6.loss_cls: 0.4595, decode.d6.loss_mask: 0.6073, decode.d6.loss_dice: 0.9020, decode.d7.loss_cls: 0.4573, decode.d7.loss_mask: 0.6065, decode.d7.loss_dice: 0.8970, decode.d8.loss_cls: 0.4567, decode.d8.loss_mask: 0.6083, decode.d8.loss_dice: 0.9003, loss: 21.1618, grad_norm: 48.3387 2023-11-12 03:29:29,782 - mmseg - INFO - Iter [33350/160000] lr: 7.916e-05, eta: 17:59:12, time: 0.549, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4590, decode.loss_mask: 0.6205, decode.loss_dice: 0.8706, decode.d0.loss_cls: 1.4588, decode.d0.loss_mask: 0.6463, decode.d0.loss_dice: 0.9697, decode.d1.loss_cls: 0.5442, decode.d1.loss_mask: 0.6391, decode.d1.loss_dice: 0.9246, decode.d2.loss_cls: 0.5084, decode.d2.loss_mask: 0.6226, decode.d2.loss_dice: 0.8963, decode.d3.loss_cls: 0.4846, decode.d3.loss_mask: 0.6207, decode.d3.loss_dice: 0.8786, decode.d4.loss_cls: 0.4747, decode.d4.loss_mask: 0.6179, decode.d4.loss_dice: 0.8790, decode.d5.loss_cls: 0.4700, decode.d5.loss_mask: 0.6183, decode.d5.loss_dice: 0.8726, decode.d6.loss_cls: 0.4605, decode.d6.loss_mask: 0.6211, decode.d6.loss_dice: 0.8721, decode.d7.loss_cls: 0.4604, decode.d7.loss_mask: 0.6200, decode.d7.loss_dice: 0.8727, decode.d8.loss_cls: 0.4597, decode.d8.loss_mask: 0.6202, decode.d8.loss_dice: 0.8720, loss: 20.9352, grad_norm: 47.3320 2023-11-12 03:29:54,196 - mmseg - INFO - Iter [33400/160000] lr: 7.913e-05, eta: 17:58:42, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4340, decode.loss_mask: 0.5842, decode.loss_dice: 0.8756, decode.d0.loss_cls: 1.4611, decode.d0.loss_mask: 0.6205, decode.d0.loss_dice: 0.9877, decode.d1.loss_cls: 0.5412, decode.d1.loss_mask: 0.6077, decode.d1.loss_dice: 0.9338, decode.d2.loss_cls: 0.4849, decode.d2.loss_mask: 0.5935, decode.d2.loss_dice: 0.9050, decode.d3.loss_cls: 0.4617, decode.d3.loss_mask: 0.5853, decode.d3.loss_dice: 0.8877, decode.d4.loss_cls: 0.4487, decode.d4.loss_mask: 0.5865, decode.d4.loss_dice: 0.8810, decode.d5.loss_cls: 0.4469, decode.d5.loss_mask: 0.5851, decode.d5.loss_dice: 0.8833, decode.d6.loss_cls: 0.4457, decode.d6.loss_mask: 0.5839, decode.d6.loss_dice: 0.8699, decode.d7.loss_cls: 0.4401, decode.d7.loss_mask: 0.5856, decode.d7.loss_dice: 0.8744, decode.d8.loss_cls: 0.4401, decode.d8.loss_mask: 0.5832, decode.d8.loss_dice: 0.8725, loss: 20.4907, grad_norm: 49.5154 2023-11-12 03:30:18,719 - mmseg - INFO - Iter [33450/160000] lr: 7.909e-05, eta: 17:58:12, time: 0.490, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4505, decode.loss_mask: 0.6254, decode.loss_dice: 0.8941, decode.d0.loss_cls: 1.4468, decode.d0.loss_mask: 0.6614, decode.d0.loss_dice: 1.0046, decode.d1.loss_cls: 0.5360, decode.d1.loss_mask: 0.6400, decode.d1.loss_dice: 0.9596, decode.d2.loss_cls: 0.4891, decode.d2.loss_mask: 0.6292, decode.d2.loss_dice: 0.9258, decode.d3.loss_cls: 0.4674, decode.d3.loss_mask: 0.6233, decode.d3.loss_dice: 0.9017, decode.d4.loss_cls: 0.4608, decode.d4.loss_mask: 0.6237, decode.d4.loss_dice: 0.9020, decode.d5.loss_cls: 0.4572, decode.d5.loss_mask: 0.6239, decode.d5.loss_dice: 0.9020, decode.d6.loss_cls: 0.4566, decode.d6.loss_mask: 0.6243, decode.d6.loss_dice: 0.8969, decode.d7.loss_cls: 0.4459, decode.d7.loss_mask: 0.6263, decode.d7.loss_dice: 0.8992, decode.d8.loss_cls: 0.4472, decode.d8.loss_mask: 0.6258, decode.d8.loss_dice: 0.8950, loss: 21.1420, grad_norm: 48.3151 2023-11-12 03:30:43,668 - mmseg - INFO - Iter [33500/160000] lr: 7.906e-05, eta: 17:57:44, time: 0.499, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4558, decode.loss_mask: 0.6035, decode.loss_dice: 0.8922, decode.d0.loss_cls: 1.4689, decode.d0.loss_mask: 0.6422, decode.d0.loss_dice: 0.9823, decode.d1.loss_cls: 0.5478, decode.d1.loss_mask: 0.6321, decode.d1.loss_dice: 0.9398, decode.d2.loss_cls: 0.4976, decode.d2.loss_mask: 0.6155, decode.d2.loss_dice: 0.9208, decode.d3.loss_cls: 0.4794, decode.d3.loss_mask: 0.6080, decode.d3.loss_dice: 0.8955, decode.d4.loss_cls: 0.4677, decode.d4.loss_mask: 0.6062, decode.d4.loss_dice: 0.9027, decode.d5.loss_cls: 0.4580, decode.d5.loss_mask: 0.6061, decode.d5.loss_dice: 0.9031, decode.d6.loss_cls: 0.4672, decode.d6.loss_mask: 0.6042, decode.d6.loss_dice: 0.8889, decode.d7.loss_cls: 0.4614, decode.d7.loss_mask: 0.6024, decode.d7.loss_dice: 0.8892, decode.d8.loss_cls: 0.4557, decode.d8.loss_mask: 0.6060, decode.d8.loss_dice: 0.8944, loss: 20.9944, grad_norm: 47.1287 2023-11-12 03:31:08,103 - mmseg - INFO - Iter [33550/160000] lr: 7.903e-05, eta: 17:57:15, time: 0.489, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4686, decode.loss_mask: 0.6256, decode.loss_dice: 0.9045, decode.d0.loss_cls: 1.4552, decode.d0.loss_mask: 0.6622, decode.d0.loss_dice: 1.0028, decode.d1.loss_cls: 0.5645, decode.d1.loss_mask: 0.6535, decode.d1.loss_dice: 0.9649, decode.d2.loss_cls: 0.5170, decode.d2.loss_mask: 0.6341, decode.d2.loss_dice: 0.9388, decode.d3.loss_cls: 0.4882, decode.d3.loss_mask: 0.6304, decode.d3.loss_dice: 0.9189, decode.d4.loss_cls: 0.4777, decode.d4.loss_mask: 0.6304, decode.d4.loss_dice: 0.9151, decode.d5.loss_cls: 0.4738, decode.d5.loss_mask: 0.6304, decode.d5.loss_dice: 0.9129, decode.d6.loss_cls: 0.4809, decode.d6.loss_mask: 0.6246, decode.d6.loss_dice: 0.9039, decode.d7.loss_cls: 0.4735, decode.d7.loss_mask: 0.6257, decode.d7.loss_dice: 0.9103, decode.d8.loss_cls: 0.4755, decode.d8.loss_mask: 0.6240, decode.d8.loss_dice: 0.9082, loss: 21.4960, grad_norm: 46.7726 2023-11-12 03:31:32,663 - mmseg - INFO - Iter [33600/160000] lr: 7.900e-05, eta: 17:56:45, time: 0.491, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4585, decode.loss_mask: 0.6098, decode.loss_dice: 0.8913, decode.d0.loss_cls: 1.4601, decode.d0.loss_mask: 0.6526, decode.d0.loss_dice: 0.9917, decode.d1.loss_cls: 0.5492, decode.d1.loss_mask: 0.6332, decode.d1.loss_dice: 0.9537, decode.d2.loss_cls: 0.5017, decode.d2.loss_mask: 0.6213, decode.d2.loss_dice: 0.9242, decode.d3.loss_cls: 0.4790, decode.d3.loss_mask: 0.6180, decode.d3.loss_dice: 0.9086, decode.d4.loss_cls: 0.4699, decode.d4.loss_mask: 0.6164, decode.d4.loss_dice: 0.9090, decode.d5.loss_cls: 0.4685, decode.d5.loss_mask: 0.6162, decode.d5.loss_dice: 0.9057, decode.d6.loss_cls: 0.4616, decode.d6.loss_mask: 0.6166, decode.d6.loss_dice: 0.8973, decode.d7.loss_cls: 0.4606, decode.d7.loss_mask: 0.6149, decode.d7.loss_dice: 0.8962, decode.d8.loss_cls: 0.4595, decode.d8.loss_mask: 0.6167, decode.d8.loss_dice: 0.8957, loss: 21.1578, grad_norm: 48.1294 2023-11-12 03:31:56,869 - mmseg - INFO - Iter [33650/160000] lr: 7.897e-05, eta: 17:56:15, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4377, decode.loss_mask: 0.6180, decode.loss_dice: 0.8955, decode.d0.loss_cls: 1.4597, decode.d0.loss_mask: 0.6544, decode.d0.loss_dice: 1.0000, decode.d1.loss_cls: 0.5393, decode.d1.loss_mask: 0.6392, decode.d1.loss_dice: 0.9568, decode.d2.loss_cls: 0.4839, decode.d2.loss_mask: 0.6314, decode.d2.loss_dice: 0.9245, decode.d3.loss_cls: 0.4567, decode.d3.loss_mask: 0.6202, decode.d3.loss_dice: 0.9069, decode.d4.loss_cls: 0.4473, decode.d4.loss_mask: 0.6197, decode.d4.loss_dice: 0.9037, decode.d5.loss_cls: 0.4454, decode.d5.loss_mask: 0.6218, decode.d5.loss_dice: 0.9026, decode.d6.loss_cls: 0.4410, decode.d6.loss_mask: 0.6185, decode.d6.loss_dice: 0.8935, decode.d7.loss_cls: 0.4398, decode.d7.loss_mask: 0.6185, decode.d7.loss_dice: 0.8910, decode.d8.loss_cls: 0.4380, decode.d8.loss_mask: 0.6163, decode.d8.loss_dice: 0.8952, loss: 21.0164, grad_norm: 47.5139 2023-11-12 03:32:21,250 - mmseg - INFO - Iter [33700/160000] lr: 7.894e-05, eta: 17:55:45, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4575, decode.loss_mask: 0.6356, decode.loss_dice: 0.9014, decode.d0.loss_cls: 1.4864, decode.d0.loss_mask: 0.6661, decode.d0.loss_dice: 0.9944, decode.d1.loss_cls: 0.5635, decode.d1.loss_mask: 0.6576, decode.d1.loss_dice: 0.9518, decode.d2.loss_cls: 0.5077, decode.d2.loss_mask: 0.6408, decode.d2.loss_dice: 0.9236, decode.d3.loss_cls: 0.4871, decode.d3.loss_mask: 0.6338, decode.d3.loss_dice: 0.9046, decode.d4.loss_cls: 0.4743, decode.d4.loss_mask: 0.6355, decode.d4.loss_dice: 0.9089, decode.d5.loss_cls: 0.4710, decode.d5.loss_mask: 0.6361, decode.d5.loss_dice: 0.9039, decode.d6.loss_cls: 0.4626, decode.d6.loss_mask: 0.6358, decode.d6.loss_dice: 0.8981, decode.d7.loss_cls: 0.4582, decode.d7.loss_mask: 0.6348, decode.d7.loss_dice: 0.9000, decode.d8.loss_cls: 0.4608, decode.d8.loss_mask: 0.6319, decode.d8.loss_dice: 0.9016, loss: 21.4254, grad_norm: 47.8645 2023-11-12 03:32:45,470 - mmseg - INFO - Iter [33750/160000] lr: 7.891e-05, eta: 17:55:14, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4628, decode.loss_mask: 0.6187, decode.loss_dice: 0.9092, decode.d0.loss_cls: 1.4634, decode.d0.loss_mask: 0.6573, decode.d0.loss_dice: 1.0133, decode.d1.loss_cls: 0.5584, decode.d1.loss_mask: 0.6453, decode.d1.loss_dice: 0.9748, decode.d2.loss_cls: 0.5066, decode.d2.loss_mask: 0.6315, decode.d2.loss_dice: 0.9346, decode.d3.loss_cls: 0.4880, decode.d3.loss_mask: 0.6233, decode.d3.loss_dice: 0.9201, decode.d4.loss_cls: 0.4726, decode.d4.loss_mask: 0.6245, decode.d4.loss_dice: 0.9196, decode.d5.loss_cls: 0.4638, decode.d5.loss_mask: 0.6233, decode.d5.loss_dice: 0.9168, decode.d6.loss_cls: 0.4743, decode.d6.loss_mask: 0.6174, decode.d6.loss_dice: 0.9046, decode.d7.loss_cls: 0.4619, decode.d7.loss_mask: 0.6177, decode.d7.loss_dice: 0.9093, decode.d8.loss_cls: 0.4639, decode.d8.loss_mask: 0.6202, decode.d8.loss_dice: 0.9088, loss: 21.4062, grad_norm: 45.9627 2023-11-12 03:33:09,628 - mmseg - INFO - Iter [33800/160000] lr: 7.888e-05, eta: 17:54:43, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4644, decode.loss_mask: 0.6344, decode.loss_dice: 0.9285, decode.d0.loss_cls: 1.4826, decode.d0.loss_mask: 0.6756, decode.d0.loss_dice: 1.0278, decode.d1.loss_cls: 0.5646, decode.d1.loss_mask: 0.6578, decode.d1.loss_dice: 0.9851, decode.d2.loss_cls: 0.5088, decode.d2.loss_mask: 0.6433, decode.d2.loss_dice: 0.9556, decode.d3.loss_cls: 0.4783, decode.d3.loss_mask: 0.6350, decode.d3.loss_dice: 0.9389, decode.d4.loss_cls: 0.4705, decode.d4.loss_mask: 0.6374, decode.d4.loss_dice: 0.9423, decode.d5.loss_cls: 0.4684, decode.d5.loss_mask: 0.6330, decode.d5.loss_dice: 0.9360, decode.d6.loss_cls: 0.4636, decode.d6.loss_mask: 0.6373, decode.d6.loss_dice: 0.9254, decode.d7.loss_cls: 0.4553, decode.d7.loss_mask: 0.6364, decode.d7.loss_dice: 0.9315, decode.d8.loss_cls: 0.4575, decode.d8.loss_mask: 0.6373, decode.d8.loss_dice: 0.9365, loss: 21.7491, grad_norm: 50.2693 2023-11-12 03:33:33,883 - mmseg - INFO - Iter [33850/160000] lr: 7.884e-05, eta: 17:54:13, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4265, decode.loss_mask: 0.6130, decode.loss_dice: 0.9073, decode.d0.loss_cls: 1.3995, decode.d0.loss_mask: 0.6464, decode.d0.loss_dice: 0.9862, decode.d1.loss_cls: 0.5180, decode.d1.loss_mask: 0.6307, decode.d1.loss_dice: 0.9578, decode.d2.loss_cls: 0.4754, decode.d2.loss_mask: 0.6189, decode.d2.loss_dice: 0.9288, decode.d3.loss_cls: 0.4492, decode.d3.loss_mask: 0.6106, decode.d3.loss_dice: 0.9070, decode.d4.loss_cls: 0.4404, decode.d4.loss_mask: 0.6138, decode.d4.loss_dice: 0.9116, decode.d5.loss_cls: 0.4356, decode.d5.loss_mask: 0.6169, decode.d5.loss_dice: 0.9155, decode.d6.loss_cls: 0.4364, decode.d6.loss_mask: 0.6130, decode.d6.loss_dice: 0.9009, decode.d7.loss_cls: 0.4259, decode.d7.loss_mask: 0.6136, decode.d7.loss_dice: 0.9075, decode.d8.loss_cls: 0.4299, decode.d8.loss_mask: 0.6143, decode.d8.loss_dice: 0.9096, loss: 20.8602, grad_norm: 51.5023 2023-11-12 03:33:58,029 - mmseg - INFO - Iter [33900/160000] lr: 7.881e-05, eta: 17:53:42, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4633, decode.loss_mask: 0.6091, decode.loss_dice: 0.8955, decode.d0.loss_cls: 1.4781, decode.d0.loss_mask: 0.6405, decode.d0.loss_dice: 0.9937, decode.d1.loss_cls: 0.5619, decode.d1.loss_mask: 0.6353, decode.d1.loss_dice: 0.9616, decode.d2.loss_cls: 0.5039, decode.d2.loss_mask: 0.6241, decode.d2.loss_dice: 0.9293, decode.d3.loss_cls: 0.4802, decode.d3.loss_mask: 0.6160, decode.d3.loss_dice: 0.9126, decode.d4.loss_cls: 0.4768, decode.d4.loss_mask: 0.6139, decode.d4.loss_dice: 0.9024, decode.d5.loss_cls: 0.4669, decode.d5.loss_mask: 0.6122, decode.d5.loss_dice: 0.9037, decode.d6.loss_cls: 0.4662, decode.d6.loss_mask: 0.6094, decode.d6.loss_dice: 0.8982, decode.d7.loss_cls: 0.4704, decode.d7.loss_mask: 0.6097, decode.d7.loss_dice: 0.8943, decode.d8.loss_cls: 0.4621, decode.d8.loss_mask: 0.6099, decode.d8.loss_dice: 0.9034, loss: 21.2047, grad_norm: 46.9084 2023-11-12 03:34:22,425 - mmseg - INFO - Iter [33950/160000] lr: 7.878e-05, eta: 17:53:12, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4498, decode.loss_mask: 0.6300, decode.loss_dice: 0.8932, decode.d0.loss_cls: 1.4564, decode.d0.loss_mask: 0.6643, decode.d0.loss_dice: 0.9874, decode.d1.loss_cls: 0.5396, decode.d1.loss_mask: 0.6499, decode.d1.loss_dice: 0.9553, decode.d2.loss_cls: 0.4917, decode.d2.loss_mask: 0.6377, decode.d2.loss_dice: 0.9179, decode.d3.loss_cls: 0.4744, decode.d3.loss_mask: 0.6323, decode.d3.loss_dice: 0.8956, decode.d4.loss_cls: 0.4654, decode.d4.loss_mask: 0.6336, decode.d4.loss_dice: 0.8921, decode.d5.loss_cls: 0.4626, decode.d5.loss_mask: 0.6314, decode.d5.loss_dice: 0.8971, decode.d6.loss_cls: 0.4547, decode.d6.loss_mask: 0.6333, decode.d6.loss_dice: 0.8885, decode.d7.loss_cls: 0.4523, decode.d7.loss_mask: 0.6300, decode.d7.loss_dice: 0.8960, decode.d8.loss_cls: 0.4519, decode.d8.loss_mask: 0.6313, decode.d8.loss_dice: 0.8954, loss: 21.1910, grad_norm: 46.6975 2023-11-12 03:34:46,712 - mmseg - INFO - Saving checkpoint at 34000 iterations 2023-11-12 03:34:50,756 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 03:34:50,756 - mmseg - INFO - Iter [34000/160000] lr: 7.875e-05, eta: 17:52:57, time: 0.567, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4276, decode.loss_mask: 0.6097, decode.loss_dice: 0.9056, decode.d0.loss_cls: 1.4409, decode.d0.loss_mask: 0.6495, decode.d0.loss_dice: 0.9964, decode.d1.loss_cls: 0.5163, decode.d1.loss_mask: 0.6339, decode.d1.loss_dice: 0.9580, decode.d2.loss_cls: 0.4599, decode.d2.loss_mask: 0.6212, decode.d2.loss_dice: 0.9353, decode.d3.loss_cls: 0.4404, decode.d3.loss_mask: 0.6100, decode.d3.loss_dice: 0.9201, decode.d4.loss_cls: 0.4342, decode.d4.loss_mask: 0.6123, decode.d4.loss_dice: 0.9160, decode.d5.loss_cls: 0.4340, decode.d5.loss_mask: 0.6092, decode.d5.loss_dice: 0.9108, decode.d6.loss_cls: 0.4335, decode.d6.loss_mask: 0.6078, decode.d6.loss_dice: 0.8969, decode.d7.loss_cls: 0.4282, decode.d7.loss_mask: 0.6092, decode.d7.loss_dice: 0.9084, decode.d8.loss_cls: 0.4284, decode.d8.loss_mask: 0.6102, decode.d8.loss_dice: 0.9090, loss: 20.8731, grad_norm: 45.5710 2023-11-12 03:35:13,927 - mmseg - INFO - per class results: 2023-11-12 03:35:13,933 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.42 | 86.59 | | building | 82.08 | 89.27 | | sky | 94.94 | 97.33 | | floor | 83.39 | 90.01 | | tree | 76.31 | 87.95 | | ceiling | 84.29 | 93.85 | | road | 85.12 | 89.89 | | bed | 89.73 | 94.32 | | windowpane | 62.15 | 79.64 | | grass | 69.64 | 81.78 | | cabinet | 63.14 | 80.63 | | sidewalk | 65.73 | 85.63 | | person | 84.77 | 92.78 | | earth | 37.36 | 54.13 | | door | 52.29 | 69.66 | | table | 61.44 | 84.39 | | mountain | 61.9 | 72.6 | | plant | 52.72 | 75.49 | | curtain | 74.34 | 86.66 | | chair | 60.63 | 74.45 | | car | 85.32 | 93.51 | | water | 52.74 | 67.36 | | painting | 67.29 | 87.56 | | sofa | 66.93 | 80.6 | | shelf | 43.71 | 62.15 | | house | 47.5 | 81.62 | | sea | 64.16 | 87.49 | | mirror | 73.69 | 82.45 | | rug | 67.96 | 81.73 | | field | 26.64 | 36.34 | | armchair | 45.74 | 70.5 | | seat | 56.37 | 79.48 | | fence | 47.95 | 67.42 | | desk | 47.9 | 63.44 | | rock | 53.11 | 78.57 | | wardrobe | 40.35 | 51.73 | | lamp | 68.08 | 79.04 | | bathtub | 74.79 | 82.95 | | railing | 35.93 | 57.94 | | cushion | 62.67 | 79.66 | | base | 23.82 | 30.85 | | box | 30.68 | 46.91 | | column | 46.47 | 64.62 | | signboard | 41.5 | 58.43 | | chest of drawers | 49.92 | 63.83 | | counter | 37.55 | 48.78 | | sand | 29.72 | 50.67 | | sink | 78.7 | 85.74 | | skyscraper | 29.69 | 32.31 | | fireplace | 71.67 | 91.23 | | refrigerator | 81.93 | 89.78 | | grandstand | 45.17 | 66.68 | | path | 19.54 | 24.53 | | stairs | 35.4 | 46.79 | | runway | 77.36 | 90.31 | | case | 53.79 | 63.56 | | pool table | 92.82 | 95.44 | | pillow | 58.43 | 74.19 | | screen door | 60.97 | 73.19 | | stairway | 27.96 | 49.92 | | river | 16.02 | 18.73 | | bridge | 54.4 | 65.44 | | bookcase | 36.21 | 56.27 | | blind | 36.63 | 39.17 | | coffee table | 66.19 | 82.38 | | toilet | 88.47 | 92.26 | | flower | 37.4 | 58.8 | | book | 46.69 | 74.02 | | hill | 8.1 | 15.54 | | bench | 42.31 | 47.25 | | countertop | 58.26 | 72.12 | | stove | 78.88 | 87.23 | | palm | 55.49 | 74.81 | | kitchen island | 38.91 | 49.97 | | computer | 66.37 | 73.86 | | swivel chair | 39.37 | 53.79 | | boat | 50.47 | 53.93 | | bar | 21.43 | 22.15 | | arcade machine | 25.16 | 26.6 | | hovel | 12.28 | 14.01 | | bus | 91.64 | 95.97 | | towel | 74.03 | 85.84 | | light | 62.23 | 72.42 | | truck | 40.07 | 58.27 | | tower | 19.87 | 33.2 | | chandelier | 65.67 | 87.67 | | awning | 35.1 | 53.73 | | streetlight | 38.95 | 63.94 | | booth | 46.71 | 54.28 | | television receiver | 62.87 | 83.02 | | airplane | 60.21 | 66.71 | | dirt track | 0.0 | 0.0 | | apparel | 30.08 | 48.61 | | pole | 28.0 | 45.5 | | land | 3.21 | 4.75 | | bannister | 15.34 | 27.43 | | escalator | 3.08 | 3.12 | | ottoman | 56.57 | 72.57 | | bottle | 28.79 | 38.73 | | buffet | 32.42 | 42.64 | | poster | 24.05 | 38.82 | | stage | 14.15 | 31.22 | | van | 34.21 | 47.62 | | ship | 7.53 | 10.8 | | fountain | 21.19 | 21.74 | | conveyer belt | 39.07 | 64.34 | | canopy | 17.5 | 19.94 | | washer | 63.04 | 74.4 | | plaything | 44.26 | 61.78 | | swimming pool | 49.36 | 66.39 | | stool | 46.87 | 75.26 | | barrel | 34.47 | 97.86 | | basket | 37.64 | 47.09 | | waterfall | 52.88 | 95.37 | | tent | 85.19 | 98.17 | | bag | 23.48 | 34.03 | | minibike | 68.09 | 92.31 | | cradle | 86.82 | 97.98 | | oven | 24.5 | 68.6 | | ball | 49.64 | 67.98 | | food | 58.62 | 73.88 | | step | 11.21 | 20.74 | | tank | 54.58 | 65.84 | | trade name | 35.74 | 49.2 | | microwave | 43.04 | 49.93 | | pot | 49.65 | 60.99 | | animal | 72.38 | 74.97 | | bicycle | 64.0 | 83.66 | | lake | 0.0 | 0.0 | | dishwasher | 71.59 | 84.95 | | screen | 52.86 | 78.8 | | blanket | 24.03 | 31.01 | | sculpture | 54.77 | 87.13 | | hood | 65.51 | 88.79 | | sconce | 51.71 | 74.62 | | vase | 46.35 | 79.74 | | traffic light | 37.52 | 70.85 | | tray | 12.29 | 25.17 | | ashcan | 43.26 | 68.81 | | fan | 66.94 | 84.63 | | pier | 37.84 | 43.71 | | crt screen | 3.73 | 16.15 | | plate | 61.84 | 81.24 | | monitor | 0.38 | 0.44 | | bulletin board | 33.98 | 59.45 | | shower | 2.9 | 27.06 | | radiator | 67.5 | 81.75 | | glass | 23.45 | 27.54 | | clock | 34.63 | 47.61 | | flag | 51.29 | 58.39 | +---------------------+-------+-------+ 2023-11-12 03:35:13,933 - mmseg - INFO - Summary: 2023-11-12 03:35:13,933 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.33 | 48.49 | 62.75 | +-------+-------+-------+ 2023-11-12 03:35:13,934 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 03:35:13,934 - mmseg - INFO - Iter(val) [250] aAcc: 0.8333, mIoU: 0.4849, mAcc: 0.6275, IoU.wall: 0.7842, IoU.building: 0.8208, IoU.sky: 0.9494, IoU.floor: 0.8339, IoU.tree: 0.7631, IoU.ceiling: 0.8429, IoU.road: 0.8512, IoU.bed : 0.8973, IoU.windowpane: 0.6215, IoU.grass: 0.6964, IoU.cabinet: 0.6314, IoU.sidewalk: 0.6573, IoU.person: 0.8477, IoU.earth: 0.3736, IoU.door: 0.5229, IoU.table: 0.6144, IoU.mountain: 0.6190, IoU.plant: 0.5272, IoU.curtain: 0.7434, IoU.chair: 0.6063, IoU.car: 0.8532, IoU.water: 0.5274, IoU.painting: 0.6729, IoU.sofa: 0.6693, IoU.shelf: 0.4371, IoU.house: 0.4750, IoU.sea: 0.6416, IoU.mirror: 0.7369, IoU.rug: 0.6796, IoU.field: 0.2664, IoU.armchair: 0.4574, IoU.seat: 0.5637, IoU.fence: 0.4795, IoU.desk: 0.4790, IoU.rock: 0.5311, IoU.wardrobe: 0.4035, IoU.lamp: 0.6808, IoU.bathtub: 0.7479, IoU.railing: 0.3593, IoU.cushion: 0.6267, IoU.base: 0.2382, IoU.box: 0.3068, IoU.column: 0.4647, IoU.signboard: 0.4150, IoU.chest of drawers: 0.4992, IoU.counter: 0.3755, IoU.sand: 0.2972, IoU.sink: 0.7870, IoU.skyscraper: 0.2969, IoU.fireplace: 0.7167, IoU.refrigerator: 0.8193, IoU.grandstand: 0.4517, IoU.path: 0.1954, IoU.stairs: 0.3540, IoU.runway: 0.7736, IoU.case: 0.5379, IoU.pool table: 0.9282, IoU.pillow: 0.5843, IoU.screen door: 0.6097, IoU.stairway: 0.2796, IoU.river: 0.1602, IoU.bridge: 0.5440, IoU.bookcase: 0.3621, IoU.blind: 0.3663, IoU.coffee table: 0.6619, IoU.toilet: 0.8847, IoU.flower: 0.3740, IoU.book: 0.4669, IoU.hill: 0.0810, IoU.bench: 0.4231, IoU.countertop: 0.5826, IoU.stove: 0.7888, IoU.palm: 0.5549, IoU.kitchen island: 0.3891, IoU.computer: 0.6637, IoU.swivel chair: 0.3937, IoU.boat: 0.5047, IoU.bar: 0.2143, IoU.arcade machine: 0.2516, IoU.hovel: 0.1228, IoU.bus: 0.9164, IoU.towel: 0.7403, IoU.light: 0.6223, IoU.truck: 0.4007, IoU.tower: 0.1987, IoU.chandelier: 0.6567, IoU.awning: 0.3510, IoU.streetlight: 0.3895, IoU.booth: 0.4671, IoU.television receiver: 0.6287, IoU.airplane: 0.6021, IoU.dirt track: 0.0000, IoU.apparel: 0.3008, IoU.pole: 0.2800, IoU.land: 0.0321, IoU.bannister: 0.1534, IoU.escalator: 0.0308, IoU.ottoman: 0.5657, IoU.bottle: 0.2879, IoU.buffet: 0.3242, IoU.poster: 0.2405, IoU.stage: 0.1415, IoU.van: 0.3421, IoU.ship: 0.0753, IoU.fountain: 0.2119, IoU.conveyer belt: 0.3907, IoU.canopy: 0.1750, IoU.washer: 0.6304, IoU.plaything: 0.4426, IoU.swimming pool: 0.4936, IoU.stool: 0.4687, IoU.barrel: 0.3447, IoU.basket: 0.3764, IoU.waterfall: 0.5288, IoU.tent: 0.8519, IoU.bag: 0.2348, IoU.minibike: 0.6809, IoU.cradle: 0.8682, IoU.oven: 0.2450, IoU.ball: 0.4964, IoU.food: 0.5862, IoU.step: 0.1121, IoU.tank: 0.5458, IoU.trade name: 0.3574, IoU.microwave: 0.4304, IoU.pot: 0.4965, IoU.animal: 0.7238, IoU.bicycle: 0.6400, IoU.lake: 0.0000, IoU.dishwasher: 0.7159, IoU.screen: 0.5286, IoU.blanket: 0.2403, IoU.sculpture: 0.5477, IoU.hood: 0.6551, IoU.sconce: 0.5171, IoU.vase: 0.4635, IoU.traffic light: 0.3752, IoU.tray: 0.1229, IoU.ashcan: 0.4326, IoU.fan: 0.6694, IoU.pier: 0.3784, IoU.crt screen: 0.0373, IoU.plate: 0.6184, IoU.monitor: 0.0038, IoU.bulletin board: 0.3398, IoU.shower: 0.0290, IoU.radiator: 0.6750, IoU.glass: 0.2345, IoU.clock: 0.3463, IoU.flag: 0.5129, Acc.wall: 0.8659, Acc.building: 0.8927, Acc.sky: 0.9733, Acc.floor: 0.9001, Acc.tree: 0.8795, Acc.ceiling: 0.9385, Acc.road: 0.8989, Acc.bed : 0.9432, Acc.windowpane: 0.7964, Acc.grass: 0.8178, Acc.cabinet: 0.8063, Acc.sidewalk: 0.8563, Acc.person: 0.9278, Acc.earth: 0.5413, Acc.door: 0.6966, Acc.table: 0.8439, Acc.mountain: 0.7260, Acc.plant: 0.7549, Acc.curtain: 0.8666, Acc.chair: 0.7445, Acc.car: 0.9351, Acc.water: 0.6736, Acc.painting: 0.8756, Acc.sofa: 0.8060, Acc.shelf: 0.6215, Acc.house: 0.8162, Acc.sea: 0.8749, Acc.mirror: 0.8245, Acc.rug: 0.8173, Acc.field: 0.3634, Acc.armchair: 0.7050, Acc.seat: 0.7948, Acc.fence: 0.6742, Acc.desk: 0.6344, Acc.rock: 0.7857, Acc.wardrobe: 0.5173, Acc.lamp: 0.7904, Acc.bathtub: 0.8295, Acc.railing: 0.5794, Acc.cushion: 0.7966, Acc.base: 0.3085, Acc.box: 0.4691, Acc.column: 0.6462, Acc.signboard: 0.5843, Acc.chest of drawers: 0.6383, Acc.counter: 0.4878, Acc.sand: 0.5067, Acc.sink: 0.8574, Acc.skyscraper: 0.3231, Acc.fireplace: 0.9123, Acc.refrigerator: 0.8978, Acc.grandstand: 0.6668, Acc.path: 0.2453, Acc.stairs: 0.4679, Acc.runway: 0.9031, Acc.case: 0.6356, Acc.pool table: 0.9544, Acc.pillow: 0.7419, Acc.screen door: 0.7319, Acc.stairway: 0.4992, Acc.river: 0.1873, Acc.bridge: 0.6544, Acc.bookcase: 0.5627, Acc.blind: 0.3917, Acc.coffee table: 0.8238, Acc.toilet: 0.9226, Acc.flower: 0.5880, Acc.book: 0.7402, Acc.hill: 0.1554, Acc.bench: 0.4725, Acc.countertop: 0.7212, Acc.stove: 0.8723, Acc.palm: 0.7481, Acc.kitchen island: 0.4997, Acc.computer: 0.7386, Acc.swivel chair: 0.5379, Acc.boat: 0.5393, Acc.bar: 0.2215, Acc.arcade machine: 0.2660, Acc.hovel: 0.1401, Acc.bus: 0.9597, Acc.towel: 0.8584, Acc.light: 0.7242, Acc.truck: 0.5827, Acc.tower: 0.3320, Acc.chandelier: 0.8767, Acc.awning: 0.5373, Acc.streetlight: 0.6394, Acc.booth: 0.5428, Acc.television receiver: 0.8302, Acc.airplane: 0.6671, Acc.dirt track: 0.0000, Acc.apparel: 0.4861, Acc.pole: 0.4550, Acc.land: 0.0475, Acc.bannister: 0.2743, Acc.escalator: 0.0312, Acc.ottoman: 0.7257, Acc.bottle: 0.3873, Acc.buffet: 0.4264, Acc.poster: 0.3882, Acc.stage: 0.3122, Acc.van: 0.4762, Acc.ship: 0.1080, Acc.fountain: 0.2174, Acc.conveyer belt: 0.6434, Acc.canopy: 0.1994, Acc.washer: 0.7440, Acc.plaything: 0.6178, Acc.swimming pool: 0.6639, Acc.stool: 0.7526, Acc.barrel: 0.9786, Acc.basket: 0.4709, Acc.waterfall: 0.9537, Acc.tent: 0.9817, Acc.bag: 0.3403, Acc.minibike: 0.9231, Acc.cradle: 0.9798, Acc.oven: 0.6860, Acc.ball: 0.6798, Acc.food: 0.7388, Acc.step: 0.2074, Acc.tank: 0.6584, Acc.trade name: 0.4920, Acc.microwave: 0.4993, Acc.pot: 0.6099, Acc.animal: 0.7497, Acc.bicycle: 0.8366, Acc.lake: 0.0000, Acc.dishwasher: 0.8495, Acc.screen: 0.7880, Acc.blanket: 0.3101, Acc.sculpture: 0.8713, Acc.hood: 0.8879, Acc.sconce: 0.7462, Acc.vase: 0.7974, Acc.traffic light: 0.7085, Acc.tray: 0.2517, Acc.ashcan: 0.6881, Acc.fan: 0.8463, Acc.pier: 0.4371, Acc.crt screen: 0.1615, Acc.plate: 0.8124, Acc.monitor: 0.0044, Acc.bulletin board: 0.5945, Acc.shower: 0.2706, Acc.radiator: 0.8175, Acc.glass: 0.2754, Acc.clock: 0.4761, Acc.flag: 0.5839 2023-11-12 03:35:38,011 - mmseg - INFO - Iter [34050/160000] lr: 7.872e-05, eta: 17:53:52, time: 0.945, data_time: 0.476, memory: 41146, decode.loss_cls: 0.4337, decode.loss_mask: 0.6055, decode.loss_dice: 0.8722, decode.d0.loss_cls: 1.4538, decode.d0.loss_mask: 0.6394, decode.d0.loss_dice: 0.9745, decode.d1.loss_cls: 0.5209, decode.d1.loss_mask: 0.6333, decode.d1.loss_dice: 0.9398, decode.d2.loss_cls: 0.4763, decode.d2.loss_mask: 0.6165, decode.d2.loss_dice: 0.9092, decode.d3.loss_cls: 0.4569, decode.d3.loss_mask: 0.6077, decode.d3.loss_dice: 0.8847, decode.d4.loss_cls: 0.4445, decode.d4.loss_mask: 0.6073, decode.d4.loss_dice: 0.8923, decode.d5.loss_cls: 0.4419, decode.d5.loss_mask: 0.6083, decode.d5.loss_dice: 0.8824, decode.d6.loss_cls: 0.4380, decode.d6.loss_mask: 0.6049, decode.d6.loss_dice: 0.8775, decode.d7.loss_cls: 0.4356, decode.d7.loss_mask: 0.6050, decode.d7.loss_dice: 0.8802, decode.d8.loss_cls: 0.4305, decode.d8.loss_mask: 0.6067, decode.d8.loss_dice: 0.8806, loss: 20.6599, grad_norm: 49.3175 2023-11-12 03:36:02,064 - mmseg - INFO - Iter [34100/160000] lr: 7.869e-05, eta: 17:53:21, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4490, decode.loss_mask: 0.6168, decode.loss_dice: 0.9094, decode.d0.loss_cls: 1.4792, decode.d0.loss_mask: 0.6528, decode.d0.loss_dice: 1.0089, decode.d1.loss_cls: 0.5544, decode.d1.loss_mask: 0.6381, decode.d1.loss_dice: 0.9685, decode.d2.loss_cls: 0.4902, decode.d2.loss_mask: 0.6299, decode.d2.loss_dice: 0.9343, decode.d3.loss_cls: 0.4791, decode.d3.loss_mask: 0.6218, decode.d3.loss_dice: 0.9135, decode.d4.loss_cls: 0.4660, decode.d4.loss_mask: 0.6180, decode.d4.loss_dice: 0.9165, decode.d5.loss_cls: 0.4637, decode.d5.loss_mask: 0.6177, decode.d5.loss_dice: 0.9176, decode.d6.loss_cls: 0.4580, decode.d6.loss_mask: 0.6180, decode.d6.loss_dice: 0.9066, decode.d7.loss_cls: 0.4554, decode.d7.loss_mask: 0.6161, decode.d7.loss_dice: 0.9133, decode.d8.loss_cls: 0.4504, decode.d8.loss_mask: 0.6142, decode.d8.loss_dice: 0.9093, loss: 21.2868, grad_norm: 46.1018 2023-11-12 03:36:28,661 - mmseg - INFO - Iter [34150/160000] lr: 7.866e-05, eta: 17:52:59, time: 0.532, data_time: 0.058, memory: 41146, decode.loss_cls: 0.4302, decode.loss_mask: 0.6060, decode.loss_dice: 0.8704, decode.d0.loss_cls: 1.4563, decode.d0.loss_mask: 0.6324, decode.d0.loss_dice: 0.9625, decode.d1.loss_cls: 0.5369, decode.d1.loss_mask: 0.6277, decode.d1.loss_dice: 0.9362, decode.d2.loss_cls: 0.4826, decode.d2.loss_mask: 0.6090, decode.d2.loss_dice: 0.8938, decode.d3.loss_cls: 0.4614, decode.d3.loss_mask: 0.6075, decode.d3.loss_dice: 0.8755, decode.d4.loss_cls: 0.4492, decode.d4.loss_mask: 0.6070, decode.d4.loss_dice: 0.8751, decode.d5.loss_cls: 0.4478, decode.d5.loss_mask: 0.6053, decode.d5.loss_dice: 0.8748, decode.d6.loss_cls: 0.4380, decode.d6.loss_mask: 0.6049, decode.d6.loss_dice: 0.8700, decode.d7.loss_cls: 0.4368, decode.d7.loss_mask: 0.6061, decode.d7.loss_dice: 0.8703, decode.d8.loss_cls: 0.4341, decode.d8.loss_mask: 0.6065, decode.d8.loss_dice: 0.8733, loss: 20.5873, grad_norm: 52.4380 2023-11-12 03:36:52,713 - mmseg - INFO - Iter [34200/160000] lr: 7.863e-05, eta: 17:52:28, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4518, decode.loss_mask: 0.5948, decode.loss_dice: 0.8890, decode.d0.loss_cls: 1.4830, decode.d0.loss_mask: 0.6324, decode.d0.loss_dice: 0.9852, decode.d1.loss_cls: 0.5564, decode.d1.loss_mask: 0.6189, decode.d1.loss_dice: 0.9526, decode.d2.loss_cls: 0.5047, decode.d2.loss_mask: 0.6018, decode.d2.loss_dice: 0.9134, decode.d3.loss_cls: 0.4811, decode.d3.loss_mask: 0.5990, decode.d3.loss_dice: 0.8895, decode.d4.loss_cls: 0.4689, decode.d4.loss_mask: 0.5946, decode.d4.loss_dice: 0.8906, decode.d5.loss_cls: 0.4717, decode.d5.loss_mask: 0.5958, decode.d5.loss_dice: 0.8869, decode.d6.loss_cls: 0.4615, decode.d6.loss_mask: 0.5959, decode.d6.loss_dice: 0.8826, decode.d7.loss_cls: 0.4634, decode.d7.loss_mask: 0.5929, decode.d7.loss_dice: 0.8852, decode.d8.loss_cls: 0.4512, decode.d8.loss_mask: 0.5976, decode.d8.loss_dice: 0.8948, loss: 20.8870, grad_norm: 46.5993 2023-11-12 03:37:16,664 - mmseg - INFO - Iter [34250/160000] lr: 7.859e-05, eta: 17:51:56, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4253, decode.loss_mask: 0.6360, decode.loss_dice: 0.8847, decode.d0.loss_cls: 1.4431, decode.d0.loss_mask: 0.6764, decode.d0.loss_dice: 0.9752, decode.d1.loss_cls: 0.5203, decode.d1.loss_mask: 0.6626, decode.d1.loss_dice: 0.9402, decode.d2.loss_cls: 0.4595, decode.d2.loss_mask: 0.6446, decode.d2.loss_dice: 0.9073, decode.d3.loss_cls: 0.4426, decode.d3.loss_mask: 0.6410, decode.d3.loss_dice: 0.8863, decode.d4.loss_cls: 0.4326, decode.d4.loss_mask: 0.6381, decode.d4.loss_dice: 0.8879, decode.d5.loss_cls: 0.4314, decode.d5.loss_mask: 0.6331, decode.d5.loss_dice: 0.8888, decode.d6.loss_cls: 0.4347, decode.d6.loss_mask: 0.6352, decode.d6.loss_dice: 0.8800, decode.d7.loss_cls: 0.4313, decode.d7.loss_mask: 0.6378, decode.d7.loss_dice: 0.8796, decode.d8.loss_cls: 0.4236, decode.d8.loss_mask: 0.6399, decode.d8.loss_dice: 0.8861, loss: 20.9050, grad_norm: 49.1949 2023-11-12 03:37:40,714 - mmseg - INFO - Iter [34300/160000] lr: 7.856e-05, eta: 17:51:25, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4430, decode.loss_mask: 0.5924, decode.loss_dice: 0.8883, decode.d0.loss_cls: 1.4628, decode.d0.loss_mask: 0.6240, decode.d0.loss_dice: 0.9850, decode.d1.loss_cls: 0.5420, decode.d1.loss_mask: 0.6136, decode.d1.loss_dice: 0.9522, decode.d2.loss_cls: 0.4915, decode.d2.loss_mask: 0.5965, decode.d2.loss_dice: 0.9079, decode.d3.loss_cls: 0.4635, decode.d3.loss_mask: 0.5962, decode.d3.loss_dice: 0.8949, decode.d4.loss_cls: 0.4520, decode.d4.loss_mask: 0.5960, decode.d4.loss_dice: 0.9013, decode.d5.loss_cls: 0.4510, decode.d5.loss_mask: 0.5998, decode.d5.loss_dice: 0.8923, decode.d6.loss_cls: 0.4485, decode.d6.loss_mask: 0.5961, decode.d6.loss_dice: 0.8854, decode.d7.loss_cls: 0.4458, decode.d7.loss_mask: 0.5952, decode.d7.loss_dice: 0.8876, decode.d8.loss_cls: 0.4384, decode.d8.loss_mask: 0.5964, decode.d8.loss_dice: 0.8912, loss: 20.7306, grad_norm: 46.9403 2023-11-12 03:38:04,953 - mmseg - INFO - Iter [34350/160000] lr: 7.853e-05, eta: 17:50:55, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4296, decode.loss_mask: 0.5986, decode.loss_dice: 0.8788, decode.d0.loss_cls: 1.4485, decode.d0.loss_mask: 0.6432, decode.d0.loss_dice: 0.9850, decode.d1.loss_cls: 0.5356, decode.d1.loss_mask: 0.6279, decode.d1.loss_dice: 0.9385, decode.d2.loss_cls: 0.4850, decode.d2.loss_mask: 0.6145, decode.d2.loss_dice: 0.8991, decode.d3.loss_cls: 0.4620, decode.d3.loss_mask: 0.6086, decode.d3.loss_dice: 0.8909, decode.d4.loss_cls: 0.4422, decode.d4.loss_mask: 0.6045, decode.d4.loss_dice: 0.8901, decode.d5.loss_cls: 0.4415, decode.d5.loss_mask: 0.6061, decode.d5.loss_dice: 0.8884, decode.d6.loss_cls: 0.4331, decode.d6.loss_mask: 0.6025, decode.d6.loss_dice: 0.8798, decode.d7.loss_cls: 0.4301, decode.d7.loss_mask: 0.6023, decode.d7.loss_dice: 0.8781, decode.d8.loss_cls: 0.4366, decode.d8.loss_mask: 0.6016, decode.d8.loss_dice: 0.8842, loss: 20.6667, grad_norm: 50.1627 2023-11-12 03:38:29,181 - mmseg - INFO - Iter [34400/160000] lr: 7.850e-05, eta: 17:50:24, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4188, decode.loss_mask: 0.5972, decode.loss_dice: 0.8675, decode.d0.loss_cls: 1.4295, decode.d0.loss_mask: 0.6337, decode.d0.loss_dice: 0.9753, decode.d1.loss_cls: 0.5118, decode.d1.loss_mask: 0.6189, decode.d1.loss_dice: 0.9294, decode.d2.loss_cls: 0.4608, decode.d2.loss_mask: 0.6081, decode.d2.loss_dice: 0.8915, decode.d3.loss_cls: 0.4419, decode.d3.loss_mask: 0.6004, decode.d3.loss_dice: 0.8787, decode.d4.loss_cls: 0.4303, decode.d4.loss_mask: 0.6000, decode.d4.loss_dice: 0.8767, decode.d5.loss_cls: 0.4281, decode.d5.loss_mask: 0.5957, decode.d5.loss_dice: 0.8683, decode.d6.loss_cls: 0.4284, decode.d6.loss_mask: 0.5943, decode.d6.loss_dice: 0.8639, decode.d7.loss_cls: 0.4224, decode.d7.loss_mask: 0.5941, decode.d7.loss_dice: 0.8693, decode.d8.loss_cls: 0.4218, decode.d8.loss_mask: 0.5945, decode.d8.loss_dice: 0.8727, loss: 20.3240, grad_norm: 47.7072 2023-11-12 03:38:53,438 - mmseg - INFO - Iter [34450/160000] lr: 7.847e-05, eta: 17:49:54, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4459, decode.loss_mask: 0.5865, decode.loss_dice: 0.9117, decode.d0.loss_cls: 1.4833, decode.d0.loss_mask: 0.6223, decode.d0.loss_dice: 1.0072, decode.d1.loss_cls: 0.5525, decode.d1.loss_mask: 0.6089, decode.d1.loss_dice: 0.9672, decode.d2.loss_cls: 0.4927, decode.d2.loss_mask: 0.5970, decode.d2.loss_dice: 0.9343, decode.d3.loss_cls: 0.4695, decode.d3.loss_mask: 0.5972, decode.d3.loss_dice: 0.9181, decode.d4.loss_cls: 0.4551, decode.d4.loss_mask: 0.5916, decode.d4.loss_dice: 0.9218, decode.d5.loss_cls: 0.4600, decode.d5.loss_mask: 0.5904, decode.d5.loss_dice: 0.9171, decode.d6.loss_cls: 0.4502, decode.d6.loss_mask: 0.5901, decode.d6.loss_dice: 0.9077, decode.d7.loss_cls: 0.4505, decode.d7.loss_mask: 0.5896, decode.d7.loss_dice: 0.9081, decode.d8.loss_cls: 0.4524, decode.d8.loss_mask: 0.5871, decode.d8.loss_dice: 0.9117, loss: 20.9776, grad_norm: 44.0894 2023-11-12 03:39:17,524 - mmseg - INFO - Iter [34500/160000] lr: 7.844e-05, eta: 17:49:23, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4195, decode.loss_mask: 0.5969, decode.loss_dice: 0.8794, decode.d0.loss_cls: 1.4493, decode.d0.loss_mask: 0.6318, decode.d0.loss_dice: 0.9723, decode.d1.loss_cls: 0.5224, decode.d1.loss_mask: 0.6204, decode.d1.loss_dice: 0.9369, decode.d2.loss_cls: 0.4642, decode.d2.loss_mask: 0.6053, decode.d2.loss_dice: 0.9104, decode.d3.loss_cls: 0.4389, decode.d3.loss_mask: 0.5998, decode.d3.loss_dice: 0.8883, decode.d4.loss_cls: 0.4325, decode.d4.loss_mask: 0.5998, decode.d4.loss_dice: 0.8861, decode.d5.loss_cls: 0.4294, decode.d5.loss_mask: 0.5979, decode.d5.loss_dice: 0.8835, decode.d6.loss_cls: 0.4278, decode.d6.loss_mask: 0.5954, decode.d6.loss_dice: 0.8806, decode.d7.loss_cls: 0.4260, decode.d7.loss_mask: 0.5982, decode.d7.loss_dice: 0.8811, decode.d8.loss_cls: 0.4215, decode.d8.loss_mask: 0.5977, decode.d8.loss_dice: 0.8840, loss: 20.4774, grad_norm: 46.6381 2023-11-12 03:39:41,621 - mmseg - INFO - Iter [34550/160000] lr: 7.841e-05, eta: 17:48:52, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4283, decode.loss_mask: 0.6248, decode.loss_dice: 0.8950, decode.d0.loss_cls: 1.4745, decode.d0.loss_mask: 0.6633, decode.d0.loss_dice: 0.9841, decode.d1.loss_cls: 0.5196, decode.d1.loss_mask: 0.6465, decode.d1.loss_dice: 0.9503, decode.d2.loss_cls: 0.4701, decode.d2.loss_mask: 0.6340, decode.d2.loss_dice: 0.9259, decode.d3.loss_cls: 0.4441, decode.d3.loss_mask: 0.6322, decode.d3.loss_dice: 0.9107, decode.d4.loss_cls: 0.4362, decode.d4.loss_mask: 0.6317, decode.d4.loss_dice: 0.9092, decode.d5.loss_cls: 0.4342, decode.d5.loss_mask: 0.6313, decode.d5.loss_dice: 0.9090, decode.d6.loss_cls: 0.4335, decode.d6.loss_mask: 0.6260, decode.d6.loss_dice: 0.8958, decode.d7.loss_cls: 0.4313, decode.d7.loss_mask: 0.6264, decode.d7.loss_dice: 0.8966, decode.d8.loss_cls: 0.4294, decode.d8.loss_mask: 0.6255, decode.d8.loss_dice: 0.9014, loss: 21.0208, grad_norm: 46.4949 2023-11-12 03:40:05,644 - mmseg - INFO - Iter [34600/160000] lr: 7.838e-05, eta: 17:48:21, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4449, decode.loss_mask: 0.6153, decode.loss_dice: 0.8750, decode.d0.loss_cls: 1.4415, decode.d0.loss_mask: 0.6521, decode.d0.loss_dice: 0.9742, decode.d1.loss_cls: 0.5475, decode.d1.loss_mask: 0.6372, decode.d1.loss_dice: 0.9213, decode.d2.loss_cls: 0.4895, decode.d2.loss_mask: 0.6310, decode.d2.loss_dice: 0.8926, decode.d3.loss_cls: 0.4702, decode.d3.loss_mask: 0.6197, decode.d3.loss_dice: 0.8726, decode.d4.loss_cls: 0.4569, decode.d4.loss_mask: 0.6186, decode.d4.loss_dice: 0.8812, decode.d5.loss_cls: 0.4573, decode.d5.loss_mask: 0.6140, decode.d5.loss_dice: 0.8788, decode.d6.loss_cls: 0.4503, decode.d6.loss_mask: 0.6148, decode.d6.loss_dice: 0.8716, decode.d7.loss_cls: 0.4473, decode.d7.loss_mask: 0.6136, decode.d7.loss_dice: 0.8718, decode.d8.loss_cls: 0.4458, decode.d8.loss_mask: 0.6124, decode.d8.loss_dice: 0.8749, loss: 20.7940, grad_norm: 46.0784 2023-11-12 03:40:29,965 - mmseg - INFO - Iter [34650/160000] lr: 7.834e-05, eta: 17:47:51, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4341, decode.loss_mask: 0.6154, decode.loss_dice: 0.8741, decode.d0.loss_cls: 1.4206, decode.d0.loss_mask: 0.6497, decode.d0.loss_dice: 0.9763, decode.d1.loss_cls: 0.5253, decode.d1.loss_mask: 0.6395, decode.d1.loss_dice: 0.9346, decode.d2.loss_cls: 0.4684, decode.d2.loss_mask: 0.6247, decode.d2.loss_dice: 0.9187, decode.d3.loss_cls: 0.4532, decode.d3.loss_mask: 0.6159, decode.d3.loss_dice: 0.8833, decode.d4.loss_cls: 0.4448, decode.d4.loss_mask: 0.6198, decode.d4.loss_dice: 0.8816, decode.d5.loss_cls: 0.4329, decode.d5.loss_mask: 0.6154, decode.d5.loss_dice: 0.8779, decode.d6.loss_cls: 0.4347, decode.d6.loss_mask: 0.6139, decode.d6.loss_dice: 0.8716, decode.d7.loss_cls: 0.4241, decode.d7.loss_mask: 0.6165, decode.d7.loss_dice: 0.8775, decode.d8.loss_cls: 0.4290, decode.d8.loss_mask: 0.6135, decode.d8.loss_dice: 0.8775, loss: 20.6647, grad_norm: 45.1597 2023-11-12 03:40:54,359 - mmseg - INFO - Iter [34700/160000] lr: 7.831e-05, eta: 17:47:21, time: 0.488, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4326, decode.loss_mask: 0.5739, decode.loss_dice: 0.8774, decode.d0.loss_cls: 1.4569, decode.d0.loss_mask: 0.6185, decode.d0.loss_dice: 0.9690, decode.d1.loss_cls: 0.5321, decode.d1.loss_mask: 0.5996, decode.d1.loss_dice: 0.9349, decode.d2.loss_cls: 0.4737, decode.d2.loss_mask: 0.5828, decode.d2.loss_dice: 0.9003, decode.d3.loss_cls: 0.4529, decode.d3.loss_mask: 0.5791, decode.d3.loss_dice: 0.8886, decode.d4.loss_cls: 0.4445, decode.d4.loss_mask: 0.5773, decode.d4.loss_dice: 0.8880, decode.d5.loss_cls: 0.4370, decode.d5.loss_mask: 0.5790, decode.d5.loss_dice: 0.8895, decode.d6.loss_cls: 0.4355, decode.d6.loss_mask: 0.5761, decode.d6.loss_dice: 0.8817, decode.d7.loss_cls: 0.4325, decode.d7.loss_mask: 0.5753, decode.d7.loss_dice: 0.8815, decode.d8.loss_cls: 0.4339, decode.d8.loss_mask: 0.5735, decode.d8.loss_dice: 0.8786, loss: 20.3561, grad_norm: 42.9428 2023-11-12 03:41:18,540 - mmseg - INFO - Iter [34750/160000] lr: 7.828e-05, eta: 17:46:51, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4497, decode.loss_mask: 0.6023, decode.loss_dice: 0.8708, decode.d0.loss_cls: 1.4312, decode.d0.loss_mask: 0.6397, decode.d0.loss_dice: 0.9636, decode.d1.loss_cls: 0.5416, decode.d1.loss_mask: 0.6255, decode.d1.loss_dice: 0.9263, decode.d2.loss_cls: 0.4905, decode.d2.loss_mask: 0.6147, decode.d2.loss_dice: 0.8932, decode.d3.loss_cls: 0.4758, decode.d3.loss_mask: 0.6075, decode.d3.loss_dice: 0.8792, decode.d4.loss_cls: 0.4679, decode.d4.loss_mask: 0.6048, decode.d4.loss_dice: 0.8729, decode.d5.loss_cls: 0.4592, decode.d5.loss_mask: 0.6031, decode.d5.loss_dice: 0.8775, decode.d6.loss_cls: 0.4560, decode.d6.loss_mask: 0.6018, decode.d6.loss_dice: 0.8657, decode.d7.loss_cls: 0.4479, decode.d7.loss_mask: 0.5995, decode.d7.loss_dice: 0.8699, decode.d8.loss_cls: 0.4502, decode.d8.loss_mask: 0.6006, decode.d8.loss_dice: 0.8729, loss: 20.6616, grad_norm: 47.6887 2023-11-12 03:41:42,879 - mmseg - INFO - Iter [34800/160000] lr: 7.825e-05, eta: 17:46:21, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4676, decode.loss_mask: 0.6244, decode.loss_dice: 0.8865, decode.d0.loss_cls: 1.4754, decode.d0.loss_mask: 0.6567, decode.d0.loss_dice: 0.9921, decode.d1.loss_cls: 0.5451, decode.d1.loss_mask: 0.6478, decode.d1.loss_dice: 0.9454, decode.d2.loss_cls: 0.5098, decode.d2.loss_mask: 0.6339, decode.d2.loss_dice: 0.9163, decode.d3.loss_cls: 0.4824, decode.d3.loss_mask: 0.6256, decode.d3.loss_dice: 0.9018, decode.d4.loss_cls: 0.4784, decode.d4.loss_mask: 0.6286, decode.d4.loss_dice: 0.9018, decode.d5.loss_cls: 0.4644, decode.d5.loss_mask: 0.6321, decode.d5.loss_dice: 0.9005, decode.d6.loss_cls: 0.4692, decode.d6.loss_mask: 0.6270, decode.d6.loss_dice: 0.8908, decode.d7.loss_cls: 0.4651, decode.d7.loss_mask: 0.6299, decode.d7.loss_dice: 0.8903, decode.d8.loss_cls: 0.4619, decode.d8.loss_mask: 0.6280, decode.d8.loss_dice: 0.8956, loss: 21.2747, grad_norm: 49.1566 2023-11-12 03:42:07,030 - mmseg - INFO - Iter [34850/160000] lr: 7.822e-05, eta: 17:45:50, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4342, decode.loss_mask: 0.6248, decode.loss_dice: 0.9065, decode.d0.loss_cls: 1.4617, decode.d0.loss_mask: 0.6626, decode.d0.loss_dice: 0.9928, decode.d1.loss_cls: 0.5154, decode.d1.loss_mask: 0.6519, decode.d1.loss_dice: 0.9663, decode.d2.loss_cls: 0.4749, decode.d2.loss_mask: 0.6408, decode.d2.loss_dice: 0.9394, decode.d3.loss_cls: 0.4535, decode.d3.loss_mask: 0.6268, decode.d3.loss_dice: 0.9189, decode.d4.loss_cls: 0.4380, decode.d4.loss_mask: 0.6269, decode.d4.loss_dice: 0.9151, decode.d5.loss_cls: 0.4386, decode.d5.loss_mask: 0.6280, decode.d5.loss_dice: 0.9163, decode.d6.loss_cls: 0.4414, decode.d6.loss_mask: 0.6227, decode.d6.loss_dice: 0.9070, decode.d7.loss_cls: 0.4296, decode.d7.loss_mask: 0.6255, decode.d7.loss_dice: 0.9111, decode.d8.loss_cls: 0.4332, decode.d8.loss_mask: 0.6268, decode.d8.loss_dice: 0.9088, loss: 21.1395, grad_norm: 47.3493 2023-11-12 03:42:31,000 - mmseg - INFO - Iter [34900/160000] lr: 7.819e-05, eta: 17:45:19, time: 0.479, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4631, decode.loss_mask: 0.6391, decode.loss_dice: 0.9170, decode.d0.loss_cls: 1.4669, decode.d0.loss_mask: 0.6696, decode.d0.loss_dice: 1.0009, decode.d1.loss_cls: 0.5516, decode.d1.loss_mask: 0.6654, decode.d1.loss_dice: 0.9805, decode.d2.loss_cls: 0.5072, decode.d2.loss_mask: 0.6510, decode.d2.loss_dice: 0.9427, decode.d3.loss_cls: 0.4869, decode.d3.loss_mask: 0.6406, decode.d3.loss_dice: 0.9272, decode.d4.loss_cls: 0.4738, decode.d4.loss_mask: 0.6397, decode.d4.loss_dice: 0.9273, decode.d5.loss_cls: 0.4748, decode.d5.loss_mask: 0.6416, decode.d5.loss_dice: 0.9236, decode.d6.loss_cls: 0.4700, decode.d6.loss_mask: 0.6385, decode.d6.loss_dice: 0.9146, decode.d7.loss_cls: 0.4692, decode.d7.loss_mask: 0.6387, decode.d7.loss_dice: 0.9178, decode.d8.loss_cls: 0.4638, decode.d8.loss_mask: 0.6362, decode.d8.loss_dice: 0.9194, loss: 21.6584, grad_norm: 47.6095 2023-11-12 03:42:55,068 - mmseg - INFO - Iter [34950/160000] lr: 7.816e-05, eta: 17:44:48, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4242, decode.loss_mask: 0.6094, decode.loss_dice: 0.8684, decode.d0.loss_cls: 1.4421, decode.d0.loss_mask: 0.6393, decode.d0.loss_dice: 0.9539, decode.d1.loss_cls: 0.5132, decode.d1.loss_mask: 0.6301, decode.d1.loss_dice: 0.9232, decode.d2.loss_cls: 0.4701, decode.d2.loss_mask: 0.6188, decode.d2.loss_dice: 0.8887, decode.d3.loss_cls: 0.4428, decode.d3.loss_mask: 0.6122, decode.d3.loss_dice: 0.8773, decode.d4.loss_cls: 0.4291, decode.d4.loss_mask: 0.6127, decode.d4.loss_dice: 0.8766, decode.d5.loss_cls: 0.4322, decode.d5.loss_mask: 0.6118, decode.d5.loss_dice: 0.8742, decode.d6.loss_cls: 0.4299, decode.d6.loss_mask: 0.6135, decode.d6.loss_dice: 0.8668, decode.d7.loss_cls: 0.4265, decode.d7.loss_mask: 0.6104, decode.d7.loss_dice: 0.8691, decode.d8.loss_cls: 0.4221, decode.d8.loss_mask: 0.6115, decode.d8.loss_dice: 0.8751, loss: 20.4751, grad_norm: 45.9359 2023-11-12 03:43:19,170 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 03:43:19,170 - mmseg - INFO - Iter [35000/160000] lr: 7.813e-05, eta: 17:44:17, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4588, decode.loss_mask: 0.5947, decode.loss_dice: 0.8856, decode.d0.loss_cls: 1.4813, decode.d0.loss_mask: 0.6276, decode.d0.loss_dice: 0.9945, decode.d1.loss_cls: 0.5533, decode.d1.loss_mask: 0.6217, decode.d1.loss_dice: 0.9406, decode.d2.loss_cls: 0.5053, decode.d2.loss_mask: 0.6038, decode.d2.loss_dice: 0.9126, decode.d3.loss_cls: 0.4757, decode.d3.loss_mask: 0.6024, decode.d3.loss_dice: 0.8977, decode.d4.loss_cls: 0.4690, decode.d4.loss_mask: 0.5975, decode.d4.loss_dice: 0.8954, decode.d5.loss_cls: 0.4683, decode.d5.loss_mask: 0.5935, decode.d5.loss_dice: 0.8900, decode.d6.loss_cls: 0.4619, decode.d6.loss_mask: 0.5944, decode.d6.loss_dice: 0.8867, decode.d7.loss_cls: 0.4618, decode.d7.loss_mask: 0.5961, decode.d7.loss_dice: 0.8855, decode.d8.loss_cls: 0.4610, decode.d8.loss_mask: 0.5951, decode.d8.loss_dice: 0.8850, loss: 20.8970, grad_norm: 45.1301 2023-11-12 03:43:43,070 - mmseg - INFO - Iter [35050/160000] lr: 7.809e-05, eta: 17:43:46, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4607, decode.loss_mask: 0.6160, decode.loss_dice: 0.8984, decode.d0.loss_cls: 1.4686, decode.d0.loss_mask: 0.6498, decode.d0.loss_dice: 1.0176, decode.d1.loss_cls: 0.5543, decode.d1.loss_mask: 0.6437, decode.d1.loss_dice: 0.9703, decode.d2.loss_cls: 0.5007, decode.d2.loss_mask: 0.6274, decode.d2.loss_dice: 0.9314, decode.d3.loss_cls: 0.4733, decode.d3.loss_mask: 0.6221, decode.d3.loss_dice: 0.9114, decode.d4.loss_cls: 0.4759, decode.d4.loss_mask: 0.6187, decode.d4.loss_dice: 0.9098, decode.d5.loss_cls: 0.4710, decode.d5.loss_mask: 0.6198, decode.d5.loss_dice: 0.9136, decode.d6.loss_cls: 0.4658, decode.d6.loss_mask: 0.6203, decode.d6.loss_dice: 0.8991, decode.d7.loss_cls: 0.4621, decode.d7.loss_mask: 0.6164, decode.d7.loss_dice: 0.9006, decode.d8.loss_cls: 0.4647, decode.d8.loss_mask: 0.6145, decode.d8.loss_dice: 0.9009, loss: 21.2989, grad_norm: 49.4450 2023-11-12 03:44:07,236 - mmseg - INFO - Iter [35100/160000] lr: 7.806e-05, eta: 17:43:15, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4055, decode.loss_mask: 0.6066, decode.loss_dice: 0.8544, decode.d0.loss_cls: 1.4098, decode.d0.loss_mask: 0.6425, decode.d0.loss_dice: 0.9545, decode.d1.loss_cls: 0.4970, decode.d1.loss_mask: 0.6254, decode.d1.loss_dice: 0.8990, decode.d2.loss_cls: 0.4337, decode.d2.loss_mask: 0.6136, decode.d2.loss_dice: 0.8830, decode.d3.loss_cls: 0.4283, decode.d3.loss_mask: 0.6069, decode.d3.loss_dice: 0.8662, decode.d4.loss_cls: 0.4144, decode.d4.loss_mask: 0.6069, decode.d4.loss_dice: 0.8653, decode.d5.loss_cls: 0.4108, decode.d5.loss_mask: 0.6059, decode.d5.loss_dice: 0.8635, decode.d6.loss_cls: 0.4127, decode.d6.loss_mask: 0.6033, decode.d6.loss_dice: 0.8530, decode.d7.loss_cls: 0.4075, decode.d7.loss_mask: 0.6061, decode.d7.loss_dice: 0.8572, decode.d8.loss_cls: 0.4071, decode.d8.loss_mask: 0.6046, decode.d8.loss_dice: 0.8595, loss: 20.1045, grad_norm: 43.2386 2023-11-12 03:44:31,609 - mmseg - INFO - Iter [35150/160000] lr: 7.803e-05, eta: 17:42:46, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4420, decode.loss_mask: 0.5928, decode.loss_dice: 0.8976, decode.d0.loss_cls: 1.4770, decode.d0.loss_mask: 0.6250, decode.d0.loss_dice: 0.9878, decode.d1.loss_cls: 0.5414, decode.d1.loss_mask: 0.6146, decode.d1.loss_dice: 0.9543, decode.d2.loss_cls: 0.4908, decode.d2.loss_mask: 0.6031, decode.d2.loss_dice: 0.9267, decode.d3.loss_cls: 0.4716, decode.d3.loss_mask: 0.5973, decode.d3.loss_dice: 0.9097, decode.d4.loss_cls: 0.4611, decode.d4.loss_mask: 0.5946, decode.d4.loss_dice: 0.9058, decode.d5.loss_cls: 0.4510, decode.d5.loss_mask: 0.5960, decode.d5.loss_dice: 0.9011, decode.d6.loss_cls: 0.4479, decode.d6.loss_mask: 0.5966, decode.d6.loss_dice: 0.8997, decode.d7.loss_cls: 0.4454, decode.d7.loss_mask: 0.5959, decode.d7.loss_dice: 0.9005, decode.d8.loss_cls: 0.4468, decode.d8.loss_mask: 0.5961, decode.d8.loss_dice: 0.9045, loss: 20.8749, grad_norm: 43.6758 2023-11-12 03:44:55,877 - mmseg - INFO - Iter [35200/160000] lr: 7.800e-05, eta: 17:42:16, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4365, decode.loss_mask: 0.6237, decode.loss_dice: 0.8926, decode.d0.loss_cls: 1.4089, decode.d0.loss_mask: 0.6609, decode.d0.loss_dice: 0.9893, decode.d1.loss_cls: 0.5229, decode.d1.loss_mask: 0.6486, decode.d1.loss_dice: 0.9550, decode.d2.loss_cls: 0.4727, decode.d2.loss_mask: 0.6338, decode.d2.loss_dice: 0.9260, decode.d3.loss_cls: 0.4553, decode.d3.loss_mask: 0.6279, decode.d3.loss_dice: 0.9043, decode.d4.loss_cls: 0.4477, decode.d4.loss_mask: 0.6262, decode.d4.loss_dice: 0.9074, decode.d5.loss_cls: 0.4394, decode.d5.loss_mask: 0.6251, decode.d5.loss_dice: 0.8999, decode.d6.loss_cls: 0.4370, decode.d6.loss_mask: 0.6242, decode.d6.loss_dice: 0.8932, decode.d7.loss_cls: 0.4394, decode.d7.loss_mask: 0.6242, decode.d7.loss_dice: 0.8969, decode.d8.loss_cls: 0.4311, decode.d8.loss_mask: 0.6226, decode.d8.loss_dice: 0.8978, loss: 20.9703, grad_norm: 48.3160 2023-11-12 03:45:20,028 - mmseg - INFO - Iter [35250/160000] lr: 7.797e-05, eta: 17:41:45, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4324, decode.loss_mask: 0.6211, decode.loss_dice: 0.9005, decode.d0.loss_cls: 1.4421, decode.d0.loss_mask: 0.6518, decode.d0.loss_dice: 1.0033, decode.d1.loss_cls: 0.5333, decode.d1.loss_mask: 0.6417, decode.d1.loss_dice: 0.9574, decode.d2.loss_cls: 0.4694, decode.d2.loss_mask: 0.6265, decode.d2.loss_dice: 0.9247, decode.d3.loss_cls: 0.4541, decode.d3.loss_mask: 0.6230, decode.d3.loss_dice: 0.9030, decode.d4.loss_cls: 0.4403, decode.d4.loss_mask: 0.6181, decode.d4.loss_dice: 0.9105, decode.d5.loss_cls: 0.4376, decode.d5.loss_mask: 0.6193, decode.d5.loss_dice: 0.9072, decode.d6.loss_cls: 0.4317, decode.d6.loss_mask: 0.6185, decode.d6.loss_dice: 0.8996, decode.d7.loss_cls: 0.4372, decode.d7.loss_mask: 0.6210, decode.d7.loss_dice: 0.8987, decode.d8.loss_cls: 0.4353, decode.d8.loss_mask: 0.6203, decode.d8.loss_dice: 0.9008, loss: 20.9805, grad_norm: 45.2878 2023-11-12 03:45:44,004 - mmseg - INFO - Iter [35300/160000] lr: 7.794e-05, eta: 17:41:14, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4555, decode.loss_mask: 0.6101, decode.loss_dice: 0.8964, decode.d0.loss_cls: 1.4688, decode.d0.loss_mask: 0.6440, decode.d0.loss_dice: 0.9941, decode.d1.loss_cls: 0.5474, decode.d1.loss_mask: 0.6393, decode.d1.loss_dice: 0.9505, decode.d2.loss_cls: 0.4955, decode.d2.loss_mask: 0.6260, decode.d2.loss_dice: 0.9235, decode.d3.loss_cls: 0.4796, decode.d3.loss_mask: 0.6154, decode.d3.loss_dice: 0.9043, decode.d4.loss_cls: 0.4668, decode.d4.loss_mask: 0.6154, decode.d4.loss_dice: 0.8994, decode.d5.loss_cls: 0.4673, decode.d5.loss_mask: 0.6159, decode.d5.loss_dice: 0.9008, decode.d6.loss_cls: 0.4604, decode.d6.loss_mask: 0.6136, decode.d6.loss_dice: 0.8945, decode.d7.loss_cls: 0.4640, decode.d7.loss_mask: 0.6139, decode.d7.loss_dice: 0.8925, decode.d8.loss_cls: 0.4601, decode.d8.loss_mask: 0.6134, decode.d8.loss_dice: 0.8940, loss: 21.1224, grad_norm: 49.0110 2023-11-12 03:46:08,061 - mmseg - INFO - Iter [35350/160000] lr: 7.791e-05, eta: 17:40:43, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4495, decode.loss_mask: 0.5867, decode.loss_dice: 0.8959, decode.d0.loss_cls: 1.4644, decode.d0.loss_mask: 0.6230, decode.d0.loss_dice: 0.9904, decode.d1.loss_cls: 0.5530, decode.d1.loss_mask: 0.6097, decode.d1.loss_dice: 0.9508, decode.d2.loss_cls: 0.4997, decode.d2.loss_mask: 0.5949, decode.d2.loss_dice: 0.9133, decode.d3.loss_cls: 0.4783, decode.d3.loss_mask: 0.5912, decode.d3.loss_dice: 0.9034, decode.d4.loss_cls: 0.4649, decode.d4.loss_mask: 0.5913, decode.d4.loss_dice: 0.8993, decode.d5.loss_cls: 0.4677, decode.d5.loss_mask: 0.5900, decode.d5.loss_dice: 0.9007, decode.d6.loss_cls: 0.4612, decode.d6.loss_mask: 0.5900, decode.d6.loss_dice: 0.8932, decode.d7.loss_cls: 0.4531, decode.d7.loss_mask: 0.5866, decode.d7.loss_dice: 0.8949, decode.d8.loss_cls: 0.4561, decode.d8.loss_mask: 0.5865, decode.d8.loss_dice: 0.8945, loss: 20.8341, grad_norm: 48.2361 2023-11-12 03:46:34,210 - mmseg - INFO - Iter [35400/160000] lr: 7.788e-05, eta: 17:40:20, time: 0.523, data_time: 0.058, memory: 41146, decode.loss_cls: 0.4165, decode.loss_mask: 0.6175, decode.loss_dice: 0.8873, decode.d0.loss_cls: 1.4198, decode.d0.loss_mask: 0.6479, decode.d0.loss_dice: 0.9691, decode.d1.loss_cls: 0.5045, decode.d1.loss_mask: 0.6361, decode.d1.loss_dice: 0.9378, decode.d2.loss_cls: 0.4459, decode.d2.loss_mask: 0.6257, decode.d2.loss_dice: 0.9106, decode.d3.loss_cls: 0.4342, decode.d3.loss_mask: 0.6165, decode.d3.loss_dice: 0.8938, decode.d4.loss_cls: 0.4258, decode.d4.loss_mask: 0.6209, decode.d4.loss_dice: 0.8923, decode.d5.loss_cls: 0.4232, decode.d5.loss_mask: 0.6175, decode.d5.loss_dice: 0.8960, decode.d6.loss_cls: 0.4214, decode.d6.loss_mask: 0.6187, decode.d6.loss_dice: 0.8885, decode.d7.loss_cls: 0.4135, decode.d7.loss_mask: 0.6183, decode.d7.loss_dice: 0.8855, decode.d8.loss_cls: 0.4126, decode.d8.loss_mask: 0.6199, decode.d8.loss_dice: 0.8865, loss: 20.6037, grad_norm: 46.2204 2023-11-12 03:46:58,211 - mmseg - INFO - Iter [35450/160000] lr: 7.784e-05, eta: 17:39:49, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4181, decode.loss_mask: 0.6248, decode.loss_dice: 0.8959, decode.d0.loss_cls: 1.4385, decode.d0.loss_mask: 0.6573, decode.d0.loss_dice: 0.9849, decode.d1.loss_cls: 0.5038, decode.d1.loss_mask: 0.6483, decode.d1.loss_dice: 0.9584, decode.d2.loss_cls: 0.4599, decode.d2.loss_mask: 0.6350, decode.d2.loss_dice: 0.9164, decode.d3.loss_cls: 0.4437, decode.d3.loss_mask: 0.6264, decode.d3.loss_dice: 0.9017, decode.d4.loss_cls: 0.4325, decode.d4.loss_mask: 0.6237, decode.d4.loss_dice: 0.9079, decode.d5.loss_cls: 0.4330, decode.d5.loss_mask: 0.6206, decode.d5.loss_dice: 0.9009, decode.d6.loss_cls: 0.4268, decode.d6.loss_mask: 0.6223, decode.d6.loss_dice: 0.8957, decode.d7.loss_cls: 0.4285, decode.d7.loss_mask: 0.6210, decode.d7.loss_dice: 0.8974, decode.d8.loss_cls: 0.4202, decode.d8.loss_mask: 0.6236, decode.d8.loss_dice: 0.9022, loss: 20.8693, grad_norm: 44.1761 2023-11-12 03:47:22,290 - mmseg - INFO - Iter [35500/160000] lr: 7.781e-05, eta: 17:39:19, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4160, decode.loss_mask: 0.6210, decode.loss_dice: 0.8633, decode.d0.loss_cls: 1.4299, decode.d0.loss_mask: 0.6541, decode.d0.loss_dice: 0.9596, decode.d1.loss_cls: 0.5078, decode.d1.loss_mask: 0.6455, decode.d1.loss_dice: 0.9157, decode.d2.loss_cls: 0.4609, decode.d2.loss_mask: 0.6285, decode.d2.loss_dice: 0.8924, decode.d3.loss_cls: 0.4406, decode.d3.loss_mask: 0.6252, decode.d3.loss_dice: 0.8805, decode.d4.loss_cls: 0.4317, decode.d4.loss_mask: 0.6234, decode.d4.loss_dice: 0.8705, decode.d5.loss_cls: 0.4249, decode.d5.loss_mask: 0.6204, decode.d5.loss_dice: 0.8749, decode.d6.loss_cls: 0.4250, decode.d6.loss_mask: 0.6208, decode.d6.loss_dice: 0.8644, decode.d7.loss_cls: 0.4205, decode.d7.loss_mask: 0.6199, decode.d7.loss_dice: 0.8612, decode.d8.loss_cls: 0.4171, decode.d8.loss_mask: 0.6209, decode.d8.loss_dice: 0.8648, loss: 20.5016, grad_norm: 46.8743 2023-11-12 03:47:46,653 - mmseg - INFO - Iter [35550/160000] lr: 7.778e-05, eta: 17:38:49, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4227, decode.loss_mask: 0.5889, decode.loss_dice: 0.8727, decode.d0.loss_cls: 1.4375, decode.d0.loss_mask: 0.6271, decode.d0.loss_dice: 0.9747, decode.d1.loss_cls: 0.5232, decode.d1.loss_mask: 0.6110, decode.d1.loss_dice: 0.9308, decode.d2.loss_cls: 0.4634, decode.d2.loss_mask: 0.6039, decode.d2.loss_dice: 0.9069, decode.d3.loss_cls: 0.4500, decode.d3.loss_mask: 0.5925, decode.d3.loss_dice: 0.8819, decode.d4.loss_cls: 0.4331, decode.d4.loss_mask: 0.5977, decode.d4.loss_dice: 0.8815, decode.d5.loss_cls: 0.4315, decode.d5.loss_mask: 0.5932, decode.d5.loss_dice: 0.8810, decode.d6.loss_cls: 0.4329, decode.d6.loss_mask: 0.5894, decode.d6.loss_dice: 0.8722, decode.d7.loss_cls: 0.4255, decode.d7.loss_mask: 0.5926, decode.d7.loss_dice: 0.8763, decode.d8.loss_cls: 0.4284, decode.d8.loss_mask: 0.5903, decode.d8.loss_dice: 0.8749, loss: 20.3875, grad_norm: 46.7299 2023-11-12 03:48:10,973 - mmseg - INFO - Iter [35600/160000] lr: 7.775e-05, eta: 17:38:19, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4164, decode.loss_mask: 0.5880, decode.loss_dice: 0.8766, decode.d0.loss_cls: 1.4429, decode.d0.loss_mask: 0.6226, decode.d0.loss_dice: 0.9764, decode.d1.loss_cls: 0.5175, decode.d1.loss_mask: 0.6120, decode.d1.loss_dice: 0.9373, decode.d2.loss_cls: 0.4652, decode.d2.loss_mask: 0.5965, decode.d2.loss_dice: 0.9034, decode.d3.loss_cls: 0.4475, decode.d3.loss_mask: 0.5882, decode.d3.loss_dice: 0.8893, decode.d4.loss_cls: 0.4301, decode.d4.loss_mask: 0.5880, decode.d4.loss_dice: 0.8911, decode.d5.loss_cls: 0.4215, decode.d5.loss_mask: 0.5898, decode.d5.loss_dice: 0.8871, decode.d6.loss_cls: 0.4242, decode.d6.loss_mask: 0.5869, decode.d6.loss_dice: 0.8807, decode.d7.loss_cls: 0.4217, decode.d7.loss_mask: 0.5888, decode.d7.loss_dice: 0.8835, decode.d8.loss_cls: 0.4158, decode.d8.loss_mask: 0.5866, decode.d8.loss_dice: 0.8836, loss: 20.3591, grad_norm: 42.4635 2023-11-12 03:48:34,878 - mmseg - INFO - Iter [35650/160000] lr: 7.772e-05, eta: 17:37:48, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4473, decode.loss_mask: 0.5824, decode.loss_dice: 0.8944, decode.d0.loss_cls: 1.4596, decode.d0.loss_mask: 0.6199, decode.d0.loss_dice: 0.9931, decode.d1.loss_cls: 0.5476, decode.d1.loss_mask: 0.6032, decode.d1.loss_dice: 0.9544, decode.d2.loss_cls: 0.4857, decode.d2.loss_mask: 0.5914, decode.d2.loss_dice: 0.9216, decode.d3.loss_cls: 0.4675, decode.d3.loss_mask: 0.5891, decode.d3.loss_dice: 0.8970, decode.d4.loss_cls: 0.4593, decode.d4.loss_mask: 0.5862, decode.d4.loss_dice: 0.8988, decode.d5.loss_cls: 0.4566, decode.d5.loss_mask: 0.5853, decode.d5.loss_dice: 0.8945, decode.d6.loss_cls: 0.4543, decode.d6.loss_mask: 0.5867, decode.d6.loss_dice: 0.8831, decode.d7.loss_cls: 0.4540, decode.d7.loss_mask: 0.5834, decode.d7.loss_dice: 0.8881, decode.d8.loss_cls: 0.4477, decode.d8.loss_mask: 0.5840, decode.d8.loss_dice: 0.8959, loss: 20.7123, grad_norm: 45.5023 2023-11-12 03:48:59,108 - mmseg - INFO - Iter [35700/160000] lr: 7.769e-05, eta: 17:37:18, time: 0.485, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4189, decode.loss_mask: 0.5886, decode.loss_dice: 0.9080, decode.d0.loss_cls: 1.4430, decode.d0.loss_mask: 0.6255, decode.d0.loss_dice: 1.0031, decode.d1.loss_cls: 0.5132, decode.d1.loss_mask: 0.6113, decode.d1.loss_dice: 0.9551, decode.d2.loss_cls: 0.4644, decode.d2.loss_mask: 0.5957, decode.d2.loss_dice: 0.9328, decode.d3.loss_cls: 0.4441, decode.d3.loss_mask: 0.5909, decode.d3.loss_dice: 0.9130, decode.d4.loss_cls: 0.4339, decode.d4.loss_mask: 0.5926, decode.d4.loss_dice: 0.9176, decode.d5.loss_cls: 0.4290, decode.d5.loss_mask: 0.5916, decode.d5.loss_dice: 0.9141, decode.d6.loss_cls: 0.4262, decode.d6.loss_mask: 0.5905, decode.d6.loss_dice: 0.9055, decode.d7.loss_cls: 0.4200, decode.d7.loss_mask: 0.5889, decode.d7.loss_dice: 0.9052, decode.d8.loss_cls: 0.4261, decode.d8.loss_mask: 0.5880, decode.d8.loss_dice: 0.9031, loss: 20.6398, grad_norm: 46.6838 2023-11-12 03:49:23,113 - mmseg - INFO - Iter [35750/160000] lr: 7.766e-05, eta: 17:36:47, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4048, decode.loss_mask: 0.6061, decode.loss_dice: 0.8702, decode.d0.loss_cls: 1.4301, decode.d0.loss_mask: 0.6434, decode.d0.loss_dice: 0.9573, decode.d1.loss_cls: 0.5024, decode.d1.loss_mask: 0.6271, decode.d1.loss_dice: 0.9236, decode.d2.loss_cls: 0.4564, decode.d2.loss_mask: 0.6159, decode.d2.loss_dice: 0.8961, decode.d3.loss_cls: 0.4358, decode.d3.loss_mask: 0.6078, decode.d3.loss_dice: 0.8788, decode.d4.loss_cls: 0.4221, decode.d4.loss_mask: 0.6108, decode.d4.loss_dice: 0.8764, decode.d5.loss_cls: 0.4153, decode.d5.loss_mask: 0.6083, decode.d5.loss_dice: 0.8803, decode.d6.loss_cls: 0.4165, decode.d6.loss_mask: 0.6076, decode.d6.loss_dice: 0.8728, decode.d7.loss_cls: 0.4164, decode.d7.loss_mask: 0.6069, decode.d7.loss_dice: 0.8706, decode.d8.loss_cls: 0.4101, decode.d8.loss_mask: 0.6075, decode.d8.loss_dice: 0.8683, loss: 20.3454, grad_norm: 45.6415 2023-11-12 03:49:47,152 - mmseg - INFO - Iter [35800/160000] lr: 7.763e-05, eta: 17:36:17, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4468, decode.loss_mask: 0.5886, decode.loss_dice: 0.8648, decode.d0.loss_cls: 1.4540, decode.d0.loss_mask: 0.6284, decode.d0.loss_dice: 0.9567, decode.d1.loss_cls: 0.5301, decode.d1.loss_mask: 0.6177, decode.d1.loss_dice: 0.9305, decode.d2.loss_cls: 0.4869, decode.d2.loss_mask: 0.6009, decode.d2.loss_dice: 0.8939, decode.d3.loss_cls: 0.4658, decode.d3.loss_mask: 0.5974, decode.d3.loss_dice: 0.8686, decode.d4.loss_cls: 0.4536, decode.d4.loss_mask: 0.5956, decode.d4.loss_dice: 0.8702, decode.d5.loss_cls: 0.4465, decode.d5.loss_mask: 0.5932, decode.d5.loss_dice: 0.8664, decode.d6.loss_cls: 0.4457, decode.d6.loss_mask: 0.5914, decode.d6.loss_dice: 0.8602, decode.d7.loss_cls: 0.4479, decode.d7.loss_mask: 0.5915, decode.d7.loss_dice: 0.8595, decode.d8.loss_cls: 0.4411, decode.d8.loss_mask: 0.5897, decode.d8.loss_dice: 0.8635, loss: 20.4469, grad_norm: 47.8412 2023-11-12 03:50:11,276 - mmseg - INFO - Iter [35850/160000] lr: 7.759e-05, eta: 17:35:46, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4481, decode.loss_mask: 0.5854, decode.loss_dice: 0.8774, decode.d0.loss_cls: 1.4752, decode.d0.loss_mask: 0.6200, decode.d0.loss_dice: 0.9727, decode.d1.loss_cls: 0.5448, decode.d1.loss_mask: 0.6100, decode.d1.loss_dice: 0.9325, decode.d2.loss_cls: 0.4887, decode.d2.loss_mask: 0.5989, decode.d2.loss_dice: 0.9045, decode.d3.loss_cls: 0.4707, decode.d3.loss_mask: 0.5944, decode.d3.loss_dice: 0.8819, decode.d4.loss_cls: 0.4630, decode.d4.loss_mask: 0.5899, decode.d4.loss_dice: 0.8836, decode.d5.loss_cls: 0.4545, decode.d5.loss_mask: 0.5860, decode.d5.loss_dice: 0.8834, decode.d6.loss_cls: 0.4547, decode.d6.loss_mask: 0.5837, decode.d6.loss_dice: 0.8754, decode.d7.loss_cls: 0.4513, decode.d7.loss_mask: 0.5853, decode.d7.loss_dice: 0.8809, decode.d8.loss_cls: 0.4496, decode.d8.loss_mask: 0.5851, decode.d8.loss_dice: 0.8787, loss: 20.6103, grad_norm: 48.2972 2023-11-12 03:50:35,353 - mmseg - INFO - Iter [35900/160000] lr: 7.756e-05, eta: 17:35:16, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4154, decode.loss_mask: 0.6030, decode.loss_dice: 0.8843, decode.d0.loss_cls: 1.4354, decode.d0.loss_mask: 0.6373, decode.d0.loss_dice: 0.9672, decode.d1.loss_cls: 0.5092, decode.d1.loss_mask: 0.6236, decode.d1.loss_dice: 0.9308, decode.d2.loss_cls: 0.4582, decode.d2.loss_mask: 0.6036, decode.d2.loss_dice: 0.9033, decode.d3.loss_cls: 0.4384, decode.d3.loss_mask: 0.6042, decode.d3.loss_dice: 0.8828, decode.d4.loss_cls: 0.4291, decode.d4.loss_mask: 0.6001, decode.d4.loss_dice: 0.8804, decode.d5.loss_cls: 0.4241, decode.d5.loss_mask: 0.6006, decode.d5.loss_dice: 0.8793, decode.d6.loss_cls: 0.4222, decode.d6.loss_mask: 0.6001, decode.d6.loss_dice: 0.8783, decode.d7.loss_cls: 0.4189, decode.d7.loss_mask: 0.6022, decode.d7.loss_dice: 0.8786, decode.d8.loss_cls: 0.4109, decode.d8.loss_mask: 0.6059, decode.d8.loss_dice: 0.8843, loss: 20.4113, grad_norm: 45.6061 2023-11-12 03:50:59,577 - mmseg - INFO - Iter [35950/160000] lr: 7.753e-05, eta: 17:34:46, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4196, decode.loss_mask: 0.6117, decode.loss_dice: 0.8848, decode.d0.loss_cls: 1.4390, decode.d0.loss_mask: 0.6539, decode.d0.loss_dice: 0.9668, decode.d1.loss_cls: 0.5115, decode.d1.loss_mask: 0.6355, decode.d1.loss_dice: 0.9355, decode.d2.loss_cls: 0.4634, decode.d2.loss_mask: 0.6189, decode.d2.loss_dice: 0.9040, decode.d3.loss_cls: 0.4419, decode.d3.loss_mask: 0.6139, decode.d3.loss_dice: 0.8921, decode.d4.loss_cls: 0.4335, decode.d4.loss_mask: 0.6126, decode.d4.loss_dice: 0.8891, decode.d5.loss_cls: 0.4272, decode.d5.loss_mask: 0.6103, decode.d5.loss_dice: 0.8824, decode.d6.loss_cls: 0.4222, decode.d6.loss_mask: 0.6062, decode.d6.loss_dice: 0.8827, decode.d7.loss_cls: 0.4254, decode.d7.loss_mask: 0.6086, decode.d7.loss_dice: 0.8844, decode.d8.loss_cls: 0.4258, decode.d8.loss_mask: 0.6082, decode.d8.loss_dice: 0.8837, loss: 20.5947, grad_norm: 47.0603 2023-11-12 03:51:24,055 - mmseg - INFO - Saving checkpoint at 36000 iterations 2023-11-12 03:51:28,489 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 03:51:28,489 - mmseg - INFO - Iter [36000/160000] lr: 7.750e-05, eta: 17:34:32, time: 0.578, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4306, decode.loss_mask: 0.5957, decode.loss_dice: 0.8874, decode.d0.loss_cls: 1.4323, decode.d0.loss_mask: 0.6319, decode.d0.loss_dice: 0.9847, decode.d1.loss_cls: 0.5144, decode.d1.loss_mask: 0.6212, decode.d1.loss_dice: 0.9472, decode.d2.loss_cls: 0.4677, decode.d2.loss_mask: 0.6076, decode.d2.loss_dice: 0.9153, decode.d3.loss_cls: 0.4467, decode.d3.loss_mask: 0.6020, decode.d3.loss_dice: 0.8911, decode.d4.loss_cls: 0.4411, decode.d4.loss_mask: 0.6012, decode.d4.loss_dice: 0.8911, decode.d5.loss_cls: 0.4329, decode.d5.loss_mask: 0.6016, decode.d5.loss_dice: 0.8917, decode.d6.loss_cls: 0.4315, decode.d6.loss_mask: 0.5959, decode.d6.loss_dice: 0.8873, decode.d7.loss_cls: 0.4285, decode.d7.loss_mask: 0.6002, decode.d7.loss_dice: 0.8864, decode.d8.loss_cls: 0.4326, decode.d8.loss_mask: 0.6011, decode.d8.loss_dice: 0.8863, loss: 20.5850, grad_norm: 47.6102 2023-11-12 03:51:47,620 - mmseg - INFO - per class results: 2023-11-12 03:51:47,625 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.47 | 88.28 | | building | 81.97 | 91.78 | | sky | 94.81 | 97.6 | | floor | 83.79 | 90.01 | | tree | 75.11 | 85.6 | | ceiling | 85.04 | 90.41 | | road | 85.28 | 90.49 | | bed | 90.25 | 94.34 | | windowpane | 63.26 | 77.1 | | grass | 69.28 | 84.72 | | cabinet | 64.51 | 77.97 | | sidewalk | 65.45 | 83.98 | | person | 84.76 | 92.68 | | earth | 42.72 | 59.79 | | door | 52.81 | 71.51 | | table | 64.79 | 78.49 | | mountain | 59.67 | 70.31 | | plant | 54.65 | 71.55 | | curtain | 78.29 | 88.98 | | chair | 60.45 | 71.99 | | car | 86.15 | 92.81 | | water | 50.29 | 64.43 | | painting | 75.08 | 87.84 | | sofa | 69.0 | 84.9 | | shelf | 45.65 | 69.21 | | house | 33.24 | 38.33 | | sea | 67.06 | 89.61 | | mirror | 69.76 | 85.19 | | rug | 70.02 | 82.99 | | field | 22.96 | 29.91 | | armchair | 46.79 | 70.6 | | seat | 57.36 | 82.27 | | fence | 36.3 | 50.86 | | desk | 42.97 | 64.04 | | rock | 42.51 | 73.94 | | wardrobe | 46.9 | 53.2 | | lamp | 70.48 | 84.01 | | bathtub | 79.24 | 87.99 | | railing | 34.16 | 58.75 | | cushion | 63.91 | 75.0 | | base | 33.81 | 66.36 | | box | 29.26 | 39.72 | | column | 44.85 | 60.3 | | signboard | 40.81 | 57.12 | | chest of drawers | 40.82 | 56.46 | | counter | 34.44 | 43.94 | | sand | 41.31 | 47.42 | | sink | 76.99 | 87.52 | | skyscraper | 36.64 | 43.72 | | fireplace | 71.67 | 88.11 | | refrigerator | 79.26 | 89.75 | | grandstand | 61.04 | 68.2 | | path | 18.03 | 25.01 | | stairs | 44.33 | 61.18 | | runway | 77.09 | 90.63 | | case | 68.2 | 84.08 | | pool table | 95.15 | 97.26 | | pillow | 62.12 | 77.93 | | screen door | 75.76 | 88.43 | | stairway | 40.71 | 48.46 | | river | 24.69 | 44.3 | | bridge | 75.48 | 87.73 | | bookcase | 32.87 | 36.41 | | blind | 45.64 | 61.06 | | coffee table | 63.87 | 87.86 | | toilet | 88.9 | 93.1 | | flower | 45.27 | 62.58 | | book | 53.3 | 77.11 | | hill | 7.54 | 12.86 | | bench | 45.99 | 54.01 | | countertop | 60.81 | 80.35 | | stove | 77.19 | 80.53 | | palm | 55.32 | 75.09 | | kitchen island | 44.05 | 64.8 | | computer | 74.77 | 83.56 | | swivel chair | 40.26 | 78.82 | | boat | 76.26 | 91.63 | | bar | 38.89 | 46.01 | | arcade machine | 52.99 | 55.72 | | hovel | 29.31 | 40.42 | | bus | 90.96 | 96.93 | | towel | 70.23 | 87.04 | | light | 63.64 | 76.9 | | truck | 43.73 | 60.96 | | tower | 29.46 | 54.74 | | chandelier | 71.79 | 84.54 | | awning | 34.51 | 55.48 | | streetlight | 40.35 | 63.66 | | booth | 63.35 | 68.46 | | television receiver | 70.71 | 81.33 | | airplane | 62.89 | 73.68 | | dirt track | 11.15 | 33.59 | | apparel | 21.01 | 38.14 | | pole | 24.35 | 40.15 | | land | 2.13 | 2.66 | | bannister | 18.51 | 29.65 | | escalator | 49.43 | 70.23 | | ottoman | 62.87 | 72.69 | | bottle | 26.79 | 34.0 | | buffet | 33.48 | 47.48 | | poster | 24.45 | 35.98 | | stage | 21.91 | 32.14 | | van | 43.97 | 69.72 | | ship | 6.34 | 7.21 | | fountain | 20.0 | 21.86 | | conveyer belt | 48.8 | 76.48 | | canopy | 25.98 | 31.53 | | washer | 62.22 | 73.96 | | plaything | 41.52 | 59.7 | | swimming pool | 50.98 | 53.54 | | stool | 50.64 | 79.58 | | barrel | 19.59 | 74.71 | | basket | 46.22 | 61.98 | | waterfall | 55.12 | 80.04 | | tent | 76.23 | 98.31 | | bag | 24.16 | 32.3 | | minibike | 67.98 | 93.27 | | cradle | 86.49 | 97.41 | | oven | 24.67 | 79.43 | | ball | 39.74 | 48.63 | | food | 64.54 | 84.51 | | step | 20.45 | 31.62 | | tank | 46.27 | 56.24 | | trade name | 37.45 | 51.57 | | microwave | 38.09 | 41.25 | | pot | 50.98 | 64.45 | | animal | 65.93 | 70.27 | | bicycle | 65.83 | 84.42 | | lake | 0.01 | 0.01 | | dishwasher | 70.34 | 78.62 | | screen | 50.67 | 73.74 | | blanket | 36.77 | 57.94 | | sculpture | 49.01 | 86.77 | | hood | 73.51 | 92.28 | | sconce | 56.02 | 72.64 | | vase | 50.64 | 75.98 | | traffic light | 37.54 | 71.21 | | tray | 16.46 | 30.41 | | ashcan | 50.72 | 66.64 | | fan | 66.96 | 84.22 | | pier | 14.9 | 17.88 | | crt screen | 7.45 | 28.26 | | plate | 62.14 | 81.09 | | monitor | 2.19 | 2.51 | | bulletin board | 39.7 | 56.01 | | shower | 8.34 | 26.96 | | radiator | 68.4 | 77.36 | | glass | 22.8 | 26.58 | | clock | 50.91 | 64.46 | | flag | 51.25 | 59.1 | +---------------------+-------+-------+ 2023-11-12 03:51:47,626 - mmseg - INFO - Summary: 2023-11-12 03:51:47,626 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.84 | 51.04 | 65.43 | +-------+-------+-------+ 2023-11-12 03:51:47,717 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_32000.pth was removed 2023-11-12 03:51:51,236 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_36000.pth. 2023-11-12 03:51:51,236 - mmseg - INFO - Best mIoU is 0.5104 at 36000 iter. 2023-11-12 03:51:51,236 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 03:51:51,237 - mmseg - INFO - Iter(val) [250] aAcc: 0.8384, mIoU: 0.5104, mAcc: 0.6543, IoU.wall: 0.7847, IoU.building: 0.8197, IoU.sky: 0.9481, IoU.floor: 0.8379, IoU.tree: 0.7511, IoU.ceiling: 0.8504, IoU.road: 0.8528, IoU.bed : 0.9025, IoU.windowpane: 0.6326, IoU.grass: 0.6928, IoU.cabinet: 0.6451, IoU.sidewalk: 0.6545, IoU.person: 0.8476, IoU.earth: 0.4272, IoU.door: 0.5281, IoU.table: 0.6479, IoU.mountain: 0.5967, IoU.plant: 0.5465, IoU.curtain: 0.7829, IoU.chair: 0.6045, IoU.car: 0.8615, IoU.water: 0.5029, IoU.painting: 0.7508, IoU.sofa: 0.6900, IoU.shelf: 0.4565, IoU.house: 0.3324, IoU.sea: 0.6706, IoU.mirror: 0.6976, IoU.rug: 0.7002, IoU.field: 0.2296, IoU.armchair: 0.4679, IoU.seat: 0.5736, IoU.fence: 0.3630, IoU.desk: 0.4297, IoU.rock: 0.4251, IoU.wardrobe: 0.4690, IoU.lamp: 0.7048, IoU.bathtub: 0.7924, IoU.railing: 0.3416, IoU.cushion: 0.6391, IoU.base: 0.3381, IoU.box: 0.2926, IoU.column: 0.4485, IoU.signboard: 0.4081, IoU.chest of drawers: 0.4082, IoU.counter: 0.3444, IoU.sand: 0.4131, IoU.sink: 0.7699, IoU.skyscraper: 0.3664, IoU.fireplace: 0.7167, IoU.refrigerator: 0.7926, IoU.grandstand: 0.6104, IoU.path: 0.1803, IoU.stairs: 0.4433, IoU.runway: 0.7709, IoU.case: 0.6820, IoU.pool table: 0.9515, IoU.pillow: 0.6212, IoU.screen door: 0.7576, IoU.stairway: 0.4071, IoU.river: 0.2469, IoU.bridge: 0.7548, IoU.bookcase: 0.3287, IoU.blind: 0.4564, IoU.coffee table: 0.6387, IoU.toilet: 0.8890, IoU.flower: 0.4527, IoU.book: 0.5330, IoU.hill: 0.0754, IoU.bench: 0.4599, IoU.countertop: 0.6081, IoU.stove: 0.7719, IoU.palm: 0.5532, IoU.kitchen island: 0.4405, IoU.computer: 0.7477, IoU.swivel chair: 0.4026, IoU.boat: 0.7626, IoU.bar: 0.3889, IoU.arcade machine: 0.5299, IoU.hovel: 0.2931, IoU.bus: 0.9096, IoU.towel: 0.7023, IoU.light: 0.6364, IoU.truck: 0.4373, IoU.tower: 0.2946, IoU.chandelier: 0.7179, IoU.awning: 0.3451, IoU.streetlight: 0.4035, IoU.booth: 0.6335, IoU.television receiver: 0.7071, IoU.airplane: 0.6289, IoU.dirt track: 0.1115, IoU.apparel: 0.2101, IoU.pole: 0.2435, IoU.land: 0.0213, IoU.bannister: 0.1851, IoU.escalator: 0.4943, IoU.ottoman: 0.6287, IoU.bottle: 0.2679, IoU.buffet: 0.3348, IoU.poster: 0.2445, IoU.stage: 0.2191, IoU.van: 0.4397, IoU.ship: 0.0634, IoU.fountain: 0.2000, IoU.conveyer belt: 0.4880, IoU.canopy: 0.2598, IoU.washer: 0.6222, IoU.plaything: 0.4152, IoU.swimming pool: 0.5098, IoU.stool: 0.5064, IoU.barrel: 0.1959, IoU.basket: 0.4622, IoU.waterfall: 0.5512, IoU.tent: 0.7623, IoU.bag: 0.2416, IoU.minibike: 0.6798, IoU.cradle: 0.8649, IoU.oven: 0.2467, IoU.ball: 0.3974, IoU.food: 0.6454, IoU.step: 0.2045, IoU.tank: 0.4627, IoU.trade name: 0.3745, IoU.microwave: 0.3809, IoU.pot: 0.5098, IoU.animal: 0.6593, IoU.bicycle: 0.6583, IoU.lake: 0.0001, IoU.dishwasher: 0.7034, IoU.screen: 0.5067, IoU.blanket: 0.3677, IoU.sculpture: 0.4901, IoU.hood: 0.7351, IoU.sconce: 0.5602, IoU.vase: 0.5064, IoU.traffic light: 0.3754, IoU.tray: 0.1646, IoU.ashcan: 0.5072, IoU.fan: 0.6696, IoU.pier: 0.1490, IoU.crt screen: 0.0745, IoU.plate: 0.6214, IoU.monitor: 0.0219, IoU.bulletin board: 0.3970, IoU.shower: 0.0834, IoU.radiator: 0.6840, IoU.glass: 0.2280, IoU.clock: 0.5091, IoU.flag: 0.5125, Acc.wall: 0.8828, Acc.building: 0.9178, Acc.sky: 0.9760, Acc.floor: 0.9001, Acc.tree: 0.8560, Acc.ceiling: 0.9041, Acc.road: 0.9049, Acc.bed : 0.9434, Acc.windowpane: 0.7710, Acc.grass: 0.8472, Acc.cabinet: 0.7797, Acc.sidewalk: 0.8398, Acc.person: 0.9268, Acc.earth: 0.5979, Acc.door: 0.7151, Acc.table: 0.7849, Acc.mountain: 0.7031, Acc.plant: 0.7155, Acc.curtain: 0.8898, Acc.chair: 0.7199, Acc.car: 0.9281, Acc.water: 0.6443, Acc.painting: 0.8784, Acc.sofa: 0.8490, Acc.shelf: 0.6921, Acc.house: 0.3833, Acc.sea: 0.8961, Acc.mirror: 0.8519, Acc.rug: 0.8299, Acc.field: 0.2991, Acc.armchair: 0.7060, Acc.seat: 0.8227, Acc.fence: 0.5086, Acc.desk: 0.6404, Acc.rock: 0.7394, Acc.wardrobe: 0.5320, Acc.lamp: 0.8401, Acc.bathtub: 0.8799, Acc.railing: 0.5875, Acc.cushion: 0.7500, Acc.base: 0.6636, Acc.box: 0.3972, Acc.column: 0.6030, Acc.signboard: 0.5712, Acc.chest of drawers: 0.5646, Acc.counter: 0.4394, Acc.sand: 0.4742, Acc.sink: 0.8752, Acc.skyscraper: 0.4372, Acc.fireplace: 0.8811, Acc.refrigerator: 0.8975, Acc.grandstand: 0.6820, Acc.path: 0.2501, Acc.stairs: 0.6118, Acc.runway: 0.9063, Acc.case: 0.8408, Acc.pool table: 0.9726, Acc.pillow: 0.7793, Acc.screen door: 0.8843, Acc.stairway: 0.4846, Acc.river: 0.4430, Acc.bridge: 0.8773, Acc.bookcase: 0.3641, Acc.blind: 0.6106, Acc.coffee table: 0.8786, Acc.toilet: 0.9310, Acc.flower: 0.6258, Acc.book: 0.7711, Acc.hill: 0.1286, Acc.bench: 0.5401, Acc.countertop: 0.8035, Acc.stove: 0.8053, Acc.palm: 0.7509, Acc.kitchen island: 0.6480, Acc.computer: 0.8356, Acc.swivel chair: 0.7882, Acc.boat: 0.9163, Acc.bar: 0.4601, Acc.arcade machine: 0.5572, Acc.hovel: 0.4042, Acc.bus: 0.9693, Acc.towel: 0.8704, Acc.light: 0.7690, Acc.truck: 0.6096, Acc.tower: 0.5474, Acc.chandelier: 0.8454, Acc.awning: 0.5548, Acc.streetlight: 0.6366, Acc.booth: 0.6846, Acc.television receiver: 0.8133, Acc.airplane: 0.7368, Acc.dirt track: 0.3359, Acc.apparel: 0.3814, Acc.pole: 0.4015, Acc.land: 0.0266, Acc.bannister: 0.2965, Acc.escalator: 0.7023, Acc.ottoman: 0.7269, Acc.bottle: 0.3400, Acc.buffet: 0.4748, Acc.poster: 0.3598, Acc.stage: 0.3214, Acc.van: 0.6972, Acc.ship: 0.0721, Acc.fountain: 0.2186, Acc.conveyer belt: 0.7648, Acc.canopy: 0.3153, Acc.washer: 0.7396, Acc.plaything: 0.5970, Acc.swimming pool: 0.5354, Acc.stool: 0.7958, Acc.barrel: 0.7471, Acc.basket: 0.6198, Acc.waterfall: 0.8004, Acc.tent: 0.9831, Acc.bag: 0.3230, Acc.minibike: 0.9327, Acc.cradle: 0.9741, Acc.oven: 0.7943, Acc.ball: 0.4863, Acc.food: 0.8451, Acc.step: 0.3162, Acc.tank: 0.5624, Acc.trade name: 0.5157, Acc.microwave: 0.4125, Acc.pot: 0.6445, Acc.animal: 0.7027, Acc.bicycle: 0.8442, Acc.lake: 0.0001, Acc.dishwasher: 0.7862, Acc.screen: 0.7374, Acc.blanket: 0.5794, Acc.sculpture: 0.8677, Acc.hood: 0.9228, Acc.sconce: 0.7264, Acc.vase: 0.7598, Acc.traffic light: 0.7121, Acc.tray: 0.3041, Acc.ashcan: 0.6664, Acc.fan: 0.8422, Acc.pier: 0.1788, Acc.crt screen: 0.2826, Acc.plate: 0.8109, Acc.monitor: 0.0251, Acc.bulletin board: 0.5601, Acc.shower: 0.2696, Acc.radiator: 0.7736, Acc.glass: 0.2658, Acc.clock: 0.6446, Acc.flag: 0.5910 2023-11-12 03:52:15,262 - mmseg - INFO - Iter [36050/160000] lr: 7.747e-05, eta: 17:35:20, time: 0.935, data_time: 0.468, memory: 41146, decode.loss_cls: 0.4520, decode.loss_mask: 0.5925, decode.loss_dice: 0.8843, decode.d0.loss_cls: 1.4666, decode.d0.loss_mask: 0.6327, decode.d0.loss_dice: 0.9765, decode.d1.loss_cls: 0.5548, decode.d1.loss_mask: 0.6140, decode.d1.loss_dice: 0.9421, decode.d2.loss_cls: 0.4951, decode.d2.loss_mask: 0.6035, decode.d2.loss_dice: 0.9094, decode.d3.loss_cls: 0.4733, decode.d3.loss_mask: 0.5964, decode.d3.loss_dice: 0.8889, decode.d4.loss_cls: 0.4594, decode.d4.loss_mask: 0.5988, decode.d4.loss_dice: 0.8908, decode.d5.loss_cls: 0.4540, decode.d5.loss_mask: 0.5975, decode.d5.loss_dice: 0.8915, decode.d6.loss_cls: 0.4567, decode.d6.loss_mask: 0.5964, decode.d6.loss_dice: 0.8831, decode.d7.loss_cls: 0.4559, decode.d7.loss_mask: 0.5968, decode.d7.loss_dice: 0.8839, decode.d8.loss_cls: 0.4575, decode.d8.loss_mask: 0.5923, decode.d8.loss_dice: 0.8820, loss: 20.7788, grad_norm: 47.5947 2023-11-12 03:52:39,409 - mmseg - INFO - Iter [36100/160000] lr: 7.744e-05, eta: 17:34:49, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4089, decode.loss_mask: 0.6121, decode.loss_dice: 0.8636, decode.d0.loss_cls: 1.4158, decode.d0.loss_mask: 0.6440, decode.d0.loss_dice: 0.9592, decode.d1.loss_cls: 0.5200, decode.d1.loss_mask: 0.6308, decode.d1.loss_dice: 0.9176, decode.d2.loss_cls: 0.4497, decode.d2.loss_mask: 0.6199, decode.d2.loss_dice: 0.8857, decode.d3.loss_cls: 0.4261, decode.d3.loss_mask: 0.6174, decode.d3.loss_dice: 0.8694, decode.d4.loss_cls: 0.4217, decode.d4.loss_mask: 0.6146, decode.d4.loss_dice: 0.8706, decode.d5.loss_cls: 0.4154, decode.d5.loss_mask: 0.6158, decode.d5.loss_dice: 0.8710, decode.d6.loss_cls: 0.4119, decode.d6.loss_mask: 0.6138, decode.d6.loss_dice: 0.8599, decode.d7.loss_cls: 0.4055, decode.d7.loss_mask: 0.6138, decode.d7.loss_dice: 0.8653, decode.d8.loss_cls: 0.4105, decode.d8.loss_mask: 0.6112, decode.d8.loss_dice: 0.8660, loss: 20.3075, grad_norm: 48.1644 2023-11-12 03:53:03,701 - mmseg - INFO - Iter [36150/160000] lr: 7.741e-05, eta: 17:34:20, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4417, decode.loss_mask: 0.6006, decode.loss_dice: 0.8808, decode.d0.loss_cls: 1.4314, decode.d0.loss_mask: 0.6370, decode.d0.loss_dice: 0.9675, decode.d1.loss_cls: 0.5251, decode.d1.loss_mask: 0.6316, decode.d1.loss_dice: 0.9404, decode.d2.loss_cls: 0.4824, decode.d2.loss_mask: 0.6140, decode.d2.loss_dice: 0.9112, decode.d3.loss_cls: 0.4565, decode.d3.loss_mask: 0.6090, decode.d3.loss_dice: 0.8969, decode.d4.loss_cls: 0.4452, decode.d4.loss_mask: 0.6078, decode.d4.loss_dice: 0.8915, decode.d5.loss_cls: 0.4469, decode.d5.loss_mask: 0.6045, decode.d5.loss_dice: 0.8896, decode.d6.loss_cls: 0.4480, decode.d6.loss_mask: 0.5997, decode.d6.loss_dice: 0.8771, decode.d7.loss_cls: 0.4411, decode.d7.loss_mask: 0.6015, decode.d7.loss_dice: 0.8876, decode.d8.loss_cls: 0.4421, decode.d8.loss_mask: 0.6015, decode.d8.loss_dice: 0.8824, loss: 20.6925, grad_norm: 46.1397 2023-11-12 03:53:27,845 - mmseg - INFO - Iter [36200/160000] lr: 7.738e-05, eta: 17:33:49, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4316, decode.loss_mask: 0.5947, decode.loss_dice: 0.8699, decode.d0.loss_cls: 1.4660, decode.d0.loss_mask: 0.6342, decode.d0.loss_dice: 0.9685, decode.d1.loss_cls: 0.5287, decode.d1.loss_mask: 0.6138, decode.d1.loss_dice: 0.9233, decode.d2.loss_cls: 0.4739, decode.d2.loss_mask: 0.5997, decode.d2.loss_dice: 0.9025, decode.d3.loss_cls: 0.4548, decode.d3.loss_mask: 0.5999, decode.d3.loss_dice: 0.8826, decode.d4.loss_cls: 0.4479, decode.d4.loss_mask: 0.6021, decode.d4.loss_dice: 0.8851, decode.d5.loss_cls: 0.4398, decode.d5.loss_mask: 0.5981, decode.d5.loss_dice: 0.8821, decode.d6.loss_cls: 0.4370, decode.d6.loss_mask: 0.5973, decode.d6.loss_dice: 0.8729, decode.d7.loss_cls: 0.4367, decode.d7.loss_mask: 0.5968, decode.d7.loss_dice: 0.8743, decode.d8.loss_cls: 0.4285, decode.d8.loss_mask: 0.5993, decode.d8.loss_dice: 0.8747, loss: 20.5169, grad_norm: 47.0103 2023-11-12 03:53:52,170 - mmseg - INFO - Iter [36250/160000] lr: 7.734e-05, eta: 17:33:20, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4480, decode.loss_mask: 0.5987, decode.loss_dice: 0.8758, decode.d0.loss_cls: 1.4474, decode.d0.loss_mask: 0.6381, decode.d0.loss_dice: 0.9753, decode.d1.loss_cls: 0.5419, decode.d1.loss_mask: 0.6239, decode.d1.loss_dice: 0.9348, decode.d2.loss_cls: 0.4895, decode.d2.loss_mask: 0.6064, decode.d2.loss_dice: 0.9019, decode.d3.loss_cls: 0.4710, decode.d3.loss_mask: 0.6046, decode.d3.loss_dice: 0.8812, decode.d4.loss_cls: 0.4575, decode.d4.loss_mask: 0.5972, decode.d4.loss_dice: 0.8855, decode.d5.loss_cls: 0.4525, decode.d5.loss_mask: 0.5979, decode.d5.loss_dice: 0.8805, decode.d6.loss_cls: 0.4553, decode.d6.loss_mask: 0.5994, decode.d6.loss_dice: 0.8727, decode.d7.loss_cls: 0.4473, decode.d7.loss_mask: 0.5984, decode.d7.loss_dice: 0.8715, decode.d8.loss_cls: 0.4469, decode.d8.loss_mask: 0.6013, decode.d8.loss_dice: 0.8777, loss: 20.6801, grad_norm: 45.7745 2023-11-12 03:54:17,226 - mmseg - INFO - Iter [36300/160000] lr: 7.731e-05, eta: 17:32:52, time: 0.501, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4374, decode.loss_mask: 0.6034, decode.loss_dice: 0.9042, decode.d0.loss_cls: 1.4730, decode.d0.loss_mask: 0.6479, decode.d0.loss_dice: 1.0024, decode.d1.loss_cls: 0.5460, decode.d1.loss_mask: 0.6297, decode.d1.loss_dice: 0.9645, decode.d2.loss_cls: 0.4841, decode.d2.loss_mask: 0.6162, decode.d2.loss_dice: 0.9241, decode.d3.loss_cls: 0.4610, decode.d3.loss_mask: 0.6092, decode.d3.loss_dice: 0.9077, decode.d4.loss_cls: 0.4539, decode.d4.loss_mask: 0.6078, decode.d4.loss_dice: 0.9096, decode.d5.loss_cls: 0.4499, decode.d5.loss_mask: 0.6082, decode.d5.loss_dice: 0.9093, decode.d6.loss_cls: 0.4479, decode.d6.loss_mask: 0.6076, decode.d6.loss_dice: 0.9068, decode.d7.loss_cls: 0.4429, decode.d7.loss_mask: 0.6048, decode.d7.loss_dice: 0.9042, decode.d8.loss_cls: 0.4385, decode.d8.loss_mask: 0.6031, decode.d8.loss_dice: 0.9069, loss: 21.0121, grad_norm: 46.1375 2023-11-12 03:54:41,655 - mmseg - INFO - Iter [36350/160000] lr: 7.728e-05, eta: 17:32:23, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4351, decode.loss_mask: 0.5944, decode.loss_dice: 0.8754, decode.d0.loss_cls: 1.4524, decode.d0.loss_mask: 0.6277, decode.d0.loss_dice: 0.9750, decode.d1.loss_cls: 0.5415, decode.d1.loss_mask: 0.6189, decode.d1.loss_dice: 0.9376, decode.d2.loss_cls: 0.4773, decode.d2.loss_mask: 0.6118, decode.d2.loss_dice: 0.9056, decode.d3.loss_cls: 0.4550, decode.d3.loss_mask: 0.6019, decode.d3.loss_dice: 0.8911, decode.d4.loss_cls: 0.4451, decode.d4.loss_mask: 0.6015, decode.d4.loss_dice: 0.8879, decode.d5.loss_cls: 0.4427, decode.d5.loss_mask: 0.5978, decode.d5.loss_dice: 0.8842, decode.d6.loss_cls: 0.4391, decode.d6.loss_mask: 0.5959, decode.d6.loss_dice: 0.8773, decode.d7.loss_cls: 0.4402, decode.d7.loss_mask: 0.5919, decode.d7.loss_dice: 0.8762, decode.d8.loss_cls: 0.4363, decode.d8.loss_mask: 0.5915, decode.d8.loss_dice: 0.8763, loss: 20.5848, grad_norm: 49.4915 2023-11-12 03:55:06,512 - mmseg - INFO - Iter [36400/160000] lr: 7.725e-05, eta: 17:31:55, time: 0.497, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4340, decode.loss_mask: 0.6103, decode.loss_dice: 0.8812, decode.d0.loss_cls: 1.4515, decode.d0.loss_mask: 0.6508, decode.d0.loss_dice: 0.9797, decode.d1.loss_cls: 0.5208, decode.d1.loss_mask: 0.6378, decode.d1.loss_dice: 0.9457, decode.d2.loss_cls: 0.4780, decode.d2.loss_mask: 0.6222, decode.d2.loss_dice: 0.9055, decode.d3.loss_cls: 0.4573, decode.d3.loss_mask: 0.6132, decode.d3.loss_dice: 0.8920, decode.d4.loss_cls: 0.4415, decode.d4.loss_mask: 0.6153, decode.d4.loss_dice: 0.8942, decode.d5.loss_cls: 0.4425, decode.d5.loss_mask: 0.6152, decode.d5.loss_dice: 0.8945, decode.d6.loss_cls: 0.4456, decode.d6.loss_mask: 0.6133, decode.d6.loss_dice: 0.8848, decode.d7.loss_cls: 0.4353, decode.d7.loss_mask: 0.6129, decode.d7.loss_dice: 0.8868, decode.d8.loss_cls: 0.4394, decode.d8.loss_mask: 0.6123, decode.d8.loss_dice: 0.8868, loss: 20.8005, grad_norm: 48.7323 2023-11-12 03:55:31,580 - mmseg - INFO - Iter [36450/160000] lr: 7.722e-05, eta: 17:31:28, time: 0.501, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4522, decode.loss_mask: 0.6008, decode.loss_dice: 0.8822, decode.d0.loss_cls: 1.4776, decode.d0.loss_mask: 0.6363, decode.d0.loss_dice: 0.9728, decode.d1.loss_cls: 0.5457, decode.d1.loss_mask: 0.6169, decode.d1.loss_dice: 0.9321, decode.d2.loss_cls: 0.4985, decode.d2.loss_mask: 0.6035, decode.d2.loss_dice: 0.9128, decode.d3.loss_cls: 0.4769, decode.d3.loss_mask: 0.6041, decode.d3.loss_dice: 0.8852, decode.d4.loss_cls: 0.4588, decode.d4.loss_mask: 0.6051, decode.d4.loss_dice: 0.8866, decode.d5.loss_cls: 0.4553, decode.d5.loss_mask: 0.6046, decode.d5.loss_dice: 0.8852, decode.d6.loss_cls: 0.4512, decode.d6.loss_mask: 0.6027, decode.d6.loss_dice: 0.8773, decode.d7.loss_cls: 0.4519, decode.d7.loss_mask: 0.6010, decode.d7.loss_dice: 0.8837, decode.d8.loss_cls: 0.4537, decode.d8.loss_mask: 0.5999, decode.d8.loss_dice: 0.8847, loss: 20.7992, grad_norm: 48.2165 2023-11-12 03:55:56,329 - mmseg - INFO - Iter [36500/160000] lr: 7.719e-05, eta: 17:31:00, time: 0.495, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4490, decode.loss_mask: 0.5798, decode.loss_dice: 0.8610, decode.d0.loss_cls: 1.4523, decode.d0.loss_mask: 0.6114, decode.d0.loss_dice: 0.9465, decode.d1.loss_cls: 0.5433, decode.d1.loss_mask: 0.6051, decode.d1.loss_dice: 0.9147, decode.d2.loss_cls: 0.4906, decode.d2.loss_mask: 0.5926, decode.d2.loss_dice: 0.8881, decode.d3.loss_cls: 0.4683, decode.d3.loss_mask: 0.5830, decode.d3.loss_dice: 0.8730, decode.d4.loss_cls: 0.4570, decode.d4.loss_mask: 0.5835, decode.d4.loss_dice: 0.8727, decode.d5.loss_cls: 0.4515, decode.d5.loss_mask: 0.5810, decode.d5.loss_dice: 0.8713, decode.d6.loss_cls: 0.4487, decode.d6.loss_mask: 0.5815, decode.d6.loss_dice: 0.8630, decode.d7.loss_cls: 0.4533, decode.d7.loss_mask: 0.5797, decode.d7.loss_dice: 0.8624, decode.d8.loss_cls: 0.4512, decode.d8.loss_mask: 0.5809, decode.d8.loss_dice: 0.8632, loss: 20.3594, grad_norm: 50.4336 2023-11-12 03:56:20,445 - mmseg - INFO - Iter [36550/160000] lr: 7.716e-05, eta: 17:30:30, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4352, decode.loss_mask: 0.5792, decode.loss_dice: 0.8659, decode.d0.loss_cls: 1.4746, decode.d0.loss_mask: 0.6147, decode.d0.loss_dice: 0.9658, decode.d1.loss_cls: 0.5391, decode.d1.loss_mask: 0.5999, decode.d1.loss_dice: 0.9285, decode.d2.loss_cls: 0.4934, decode.d2.loss_mask: 0.5856, decode.d2.loss_dice: 0.8968, decode.d3.loss_cls: 0.4641, decode.d3.loss_mask: 0.5834, decode.d3.loss_dice: 0.8770, decode.d4.loss_cls: 0.4597, decode.d4.loss_mask: 0.5804, decode.d4.loss_dice: 0.8725, decode.d5.loss_cls: 0.4469, decode.d5.loss_mask: 0.5806, decode.d5.loss_dice: 0.8719, decode.d6.loss_cls: 0.4423, decode.d6.loss_mask: 0.5796, decode.d6.loss_dice: 0.8682, decode.d7.loss_cls: 0.4423, decode.d7.loss_mask: 0.5786, decode.d7.loss_dice: 0.8677, decode.d8.loss_cls: 0.4410, decode.d8.loss_mask: 0.5786, decode.d8.loss_dice: 0.8686, loss: 20.3824, grad_norm: 44.1257 2023-11-12 03:56:44,769 - mmseg - INFO - Iter [36600/160000] lr: 7.713e-05, eta: 17:30:00, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4217, decode.loss_mask: 0.6029, decode.loss_dice: 0.8752, decode.d0.loss_cls: 1.4666, decode.d0.loss_mask: 0.6347, decode.d0.loss_dice: 0.9760, decode.d1.loss_cls: 0.5269, decode.d1.loss_mask: 0.6238, decode.d1.loss_dice: 0.9335, decode.d2.loss_cls: 0.4728, decode.d2.loss_mask: 0.6130, decode.d2.loss_dice: 0.9045, decode.d3.loss_cls: 0.4552, decode.d3.loss_mask: 0.6041, decode.d3.loss_dice: 0.8861, decode.d4.loss_cls: 0.4388, decode.d4.loss_mask: 0.6056, decode.d4.loss_dice: 0.8846, decode.d5.loss_cls: 0.4402, decode.d5.loss_mask: 0.6017, decode.d5.loss_dice: 0.8805, decode.d6.loss_cls: 0.4321, decode.d6.loss_mask: 0.6019, decode.d6.loss_dice: 0.8826, decode.d7.loss_cls: 0.4255, decode.d7.loss_mask: 0.6005, decode.d7.loss_dice: 0.8837, decode.d8.loss_cls: 0.4276, decode.d8.loss_mask: 0.6036, decode.d8.loss_dice: 0.8729, loss: 20.5786, grad_norm: 46.6235 2023-11-12 03:57:11,441 - mmseg - INFO - Iter [36650/160000] lr: 7.709e-05, eta: 17:29:38, time: 0.533, data_time: 0.057, memory: 41146, decode.loss_cls: 0.4313, decode.loss_mask: 0.5860, decode.loss_dice: 0.8669, decode.d0.loss_cls: 1.4514, decode.d0.loss_mask: 0.6244, decode.d0.loss_dice: 0.9746, decode.d1.loss_cls: 0.5310, decode.d1.loss_mask: 0.6054, decode.d1.loss_dice: 0.9253, decode.d2.loss_cls: 0.4783, decode.d2.loss_mask: 0.5949, decode.d2.loss_dice: 0.8930, decode.d3.loss_cls: 0.4545, decode.d3.loss_mask: 0.5913, decode.d3.loss_dice: 0.8776, decode.d4.loss_cls: 0.4450, decode.d4.loss_mask: 0.5886, decode.d4.loss_dice: 0.8765, decode.d5.loss_cls: 0.4448, decode.d5.loss_mask: 0.5885, decode.d5.loss_dice: 0.8742, decode.d6.loss_cls: 0.4423, decode.d6.loss_mask: 0.5861, decode.d6.loss_dice: 0.8664, decode.d7.loss_cls: 0.4330, decode.d7.loss_mask: 0.5888, decode.d7.loss_dice: 0.8685, decode.d8.loss_cls: 0.4305, decode.d8.loss_mask: 0.5886, decode.d8.loss_dice: 0.8715, loss: 20.3794, grad_norm: 47.1872 2023-11-12 03:57:35,873 - mmseg - INFO - Iter [36700/160000] lr: 7.706e-05, eta: 17:29:09, time: 0.489, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3960, decode.loss_mask: 0.5996, decode.loss_dice: 0.8648, decode.d0.loss_cls: 1.4118, decode.d0.loss_mask: 0.6373, decode.d0.loss_dice: 0.9539, decode.d1.loss_cls: 0.4943, decode.d1.loss_mask: 0.6225, decode.d1.loss_dice: 0.9171, decode.d2.loss_cls: 0.4432, decode.d2.loss_mask: 0.6087, decode.d2.loss_dice: 0.8975, decode.d3.loss_cls: 0.4205, decode.d3.loss_mask: 0.6021, decode.d3.loss_dice: 0.8692, decode.d4.loss_cls: 0.4090, decode.d4.loss_mask: 0.6044, decode.d4.loss_dice: 0.8671, decode.d5.loss_cls: 0.4075, decode.d5.loss_mask: 0.6009, decode.d5.loss_dice: 0.8683, decode.d6.loss_cls: 0.4009, decode.d6.loss_mask: 0.6012, decode.d6.loss_dice: 0.8659, decode.d7.loss_cls: 0.4002, decode.d7.loss_mask: 0.5978, decode.d7.loss_dice: 0.8633, decode.d8.loss_cls: 0.3940, decode.d8.loss_mask: 0.5998, decode.d8.loss_dice: 0.8694, loss: 20.0882, grad_norm: 47.4809 2023-11-12 03:58:00,174 - mmseg - INFO - Iter [36750/160000] lr: 7.703e-05, eta: 17:28:40, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4340, decode.loss_mask: 0.5845, decode.loss_dice: 0.8699, decode.d0.loss_cls: 1.4569, decode.d0.loss_mask: 0.6249, decode.d0.loss_dice: 0.9639, decode.d1.loss_cls: 0.5389, decode.d1.loss_mask: 0.6036, decode.d1.loss_dice: 0.9187, decode.d2.loss_cls: 0.4833, decode.d2.loss_mask: 0.5922, decode.d2.loss_dice: 0.8946, decode.d3.loss_cls: 0.4628, decode.d3.loss_mask: 0.5861, decode.d3.loss_dice: 0.8732, decode.d4.loss_cls: 0.4462, decode.d4.loss_mask: 0.5864, decode.d4.loss_dice: 0.8721, decode.d5.loss_cls: 0.4426, decode.d5.loss_mask: 0.5863, decode.d5.loss_dice: 0.8736, decode.d6.loss_cls: 0.4401, decode.d6.loss_mask: 0.5868, decode.d6.loss_dice: 0.8688, decode.d7.loss_cls: 0.4322, decode.d7.loss_mask: 0.5857, decode.d7.loss_dice: 0.8724, decode.d8.loss_cls: 0.4335, decode.d8.loss_mask: 0.5853, decode.d8.loss_dice: 0.8702, loss: 20.3695, grad_norm: 44.7081 2023-11-12 03:58:25,034 - mmseg - INFO - Iter [36800/160000] lr: 7.700e-05, eta: 17:28:12, time: 0.497, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4160, decode.loss_mask: 0.6117, decode.loss_dice: 0.8885, decode.d0.loss_cls: 1.4148, decode.d0.loss_mask: 0.6439, decode.d0.loss_dice: 0.9756, decode.d1.loss_cls: 0.5087, decode.d1.loss_mask: 0.6258, decode.d1.loss_dice: 0.9421, decode.d2.loss_cls: 0.4574, decode.d2.loss_mask: 0.6177, decode.d2.loss_dice: 0.9202, decode.d3.loss_cls: 0.4358, decode.d3.loss_mask: 0.6143, decode.d3.loss_dice: 0.9004, decode.d4.loss_cls: 0.4232, decode.d4.loss_mask: 0.6140, decode.d4.loss_dice: 0.9023, decode.d5.loss_cls: 0.4219, decode.d5.loss_mask: 0.6131, decode.d5.loss_dice: 0.8971, decode.d6.loss_cls: 0.4226, decode.d6.loss_mask: 0.6109, decode.d6.loss_dice: 0.8986, decode.d7.loss_cls: 0.4193, decode.d7.loss_mask: 0.6111, decode.d7.loss_dice: 0.8971, decode.d8.loss_cls: 0.4211, decode.d8.loss_mask: 0.6120, decode.d8.loss_dice: 0.8920, loss: 20.6291, grad_norm: 45.0895 2023-11-12 03:58:49,303 - mmseg - INFO - Iter [36850/160000] lr: 7.697e-05, eta: 17:27:42, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4137, decode.loss_mask: 0.5879, decode.loss_dice: 0.8741, decode.d0.loss_cls: 1.4262, decode.d0.loss_mask: 0.6237, decode.d0.loss_dice: 0.9771, decode.d1.loss_cls: 0.5204, decode.d1.loss_mask: 0.6061, decode.d1.loss_dice: 0.9300, decode.d2.loss_cls: 0.4629, decode.d2.loss_mask: 0.5947, decode.d2.loss_dice: 0.9067, decode.d3.loss_cls: 0.4374, decode.d3.loss_mask: 0.5931, decode.d3.loss_dice: 0.8879, decode.d4.loss_cls: 0.4321, decode.d4.loss_mask: 0.5872, decode.d4.loss_dice: 0.8750, decode.d5.loss_cls: 0.4279, decode.d5.loss_mask: 0.5847, decode.d5.loss_dice: 0.8813, decode.d6.loss_cls: 0.4197, decode.d6.loss_mask: 0.5895, decode.d6.loss_dice: 0.8786, decode.d7.loss_cls: 0.4127, decode.d7.loss_mask: 0.5907, decode.d7.loss_dice: 0.8788, decode.d8.loss_cls: 0.4143, decode.d8.loss_mask: 0.5868, decode.d8.loss_dice: 0.8798, loss: 20.2808, grad_norm: 45.6302 2023-11-12 03:59:13,635 - mmseg - INFO - Iter [36900/160000] lr: 7.694e-05, eta: 17:27:13, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4356, decode.loss_mask: 0.5957, decode.loss_dice: 0.8821, decode.d0.loss_cls: 1.4413, decode.d0.loss_mask: 0.6348, decode.d0.loss_dice: 0.9709, decode.d1.loss_cls: 0.5146, decode.d1.loss_mask: 0.6258, decode.d1.loss_dice: 0.9405, decode.d2.loss_cls: 0.4743, decode.d2.loss_mask: 0.6045, decode.d2.loss_dice: 0.9015, decode.d3.loss_cls: 0.4486, decode.d3.loss_mask: 0.6011, decode.d3.loss_dice: 0.8865, decode.d4.loss_cls: 0.4480, decode.d4.loss_mask: 0.5982, decode.d4.loss_dice: 0.8897, decode.d5.loss_cls: 0.4326, decode.d5.loss_mask: 0.5974, decode.d5.loss_dice: 0.8914, decode.d6.loss_cls: 0.4312, decode.d6.loss_mask: 0.5980, decode.d6.loss_dice: 0.8831, decode.d7.loss_cls: 0.4359, decode.d7.loss_mask: 0.5990, decode.d7.loss_dice: 0.8841, decode.d8.loss_cls: 0.4290, decode.d8.loss_mask: 0.5989, decode.d8.loss_dice: 0.8875, loss: 20.5617, grad_norm: 47.8068 2023-11-12 03:59:37,864 - mmseg - INFO - Iter [36950/160000] lr: 7.691e-05, eta: 17:26:43, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3947, decode.loss_mask: 0.6005, decode.loss_dice: 0.8723, decode.d0.loss_cls: 1.4151, decode.d0.loss_mask: 0.6350, decode.d0.loss_dice: 0.9741, decode.d1.loss_cls: 0.4913, decode.d1.loss_mask: 0.6176, decode.d1.loss_dice: 0.9326, decode.d2.loss_cls: 0.4385, decode.d2.loss_mask: 0.6019, decode.d2.loss_dice: 0.9003, decode.d3.loss_cls: 0.4147, decode.d3.loss_mask: 0.6018, decode.d3.loss_dice: 0.8861, decode.d4.loss_cls: 0.4100, decode.d4.loss_mask: 0.5982, decode.d4.loss_dice: 0.8814, decode.d5.loss_cls: 0.4009, decode.d5.loss_mask: 0.5980, decode.d5.loss_dice: 0.8788, decode.d6.loss_cls: 0.4042, decode.d6.loss_mask: 0.5949, decode.d6.loss_dice: 0.8740, decode.d7.loss_cls: 0.3994, decode.d7.loss_mask: 0.5983, decode.d7.loss_dice: 0.8775, decode.d8.loss_cls: 0.3909, decode.d8.loss_mask: 0.5986, decode.d8.loss_dice: 0.8786, loss: 20.1601, grad_norm: 46.9997 2023-11-12 04:00:01,977 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 04:00:01,978 - mmseg - INFO - Iter [37000/160000] lr: 7.688e-05, eta: 17:26:13, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4245, decode.loss_mask: 0.6143, decode.loss_dice: 0.8845, decode.d0.loss_cls: 1.4287, decode.d0.loss_mask: 0.6520, decode.d0.loss_dice: 0.9715, decode.d1.loss_cls: 0.5119, decode.d1.loss_mask: 0.6408, decode.d1.loss_dice: 0.9332, decode.d2.loss_cls: 0.4744, decode.d2.loss_mask: 0.6259, decode.d2.loss_dice: 0.9039, decode.d3.loss_cls: 0.4552, decode.d3.loss_mask: 0.6184, decode.d3.loss_dice: 0.8911, decode.d4.loss_cls: 0.4450, decode.d4.loss_mask: 0.6173, decode.d4.loss_dice: 0.8935, decode.d5.loss_cls: 0.4400, decode.d5.loss_mask: 0.6169, decode.d5.loss_dice: 0.8855, decode.d6.loss_cls: 0.4363, decode.d6.loss_mask: 0.6165, decode.d6.loss_dice: 0.8811, decode.d7.loss_cls: 0.4286, decode.d7.loss_mask: 0.6156, decode.d7.loss_dice: 0.8847, decode.d8.loss_cls: 0.4289, decode.d8.loss_mask: 0.6148, decode.d8.loss_dice: 0.8843, loss: 20.7195, grad_norm: 46.5310 2023-11-12 04:00:26,168 - mmseg - INFO - Iter [37050/160000] lr: 7.684e-05, eta: 17:25:43, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4247, decode.loss_mask: 0.6000, decode.loss_dice: 0.8664, decode.d0.loss_cls: 1.4099, decode.d0.loss_mask: 0.6327, decode.d0.loss_dice: 0.9661, decode.d1.loss_cls: 0.5123, decode.d1.loss_mask: 0.6190, decode.d1.loss_dice: 0.9176, decode.d2.loss_cls: 0.4641, decode.d2.loss_mask: 0.6053, decode.d2.loss_dice: 0.8849, decode.d3.loss_cls: 0.4374, decode.d3.loss_mask: 0.6023, decode.d3.loss_dice: 0.8684, decode.d4.loss_cls: 0.4329, decode.d4.loss_mask: 0.5998, decode.d4.loss_dice: 0.8689, decode.d5.loss_cls: 0.4252, decode.d5.loss_mask: 0.5983, decode.d5.loss_dice: 0.8678, decode.d6.loss_cls: 0.4283, decode.d6.loss_mask: 0.5954, decode.d6.loss_dice: 0.8653, decode.d7.loss_cls: 0.4209, decode.d7.loss_mask: 0.5958, decode.d7.loss_dice: 0.8678, decode.d8.loss_cls: 0.4270, decode.d8.loss_mask: 0.5973, decode.d8.loss_dice: 0.8612, loss: 20.2629, grad_norm: 50.5325 2023-11-12 04:00:50,356 - mmseg - INFO - Iter [37100/160000] lr: 7.681e-05, eta: 17:25:13, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4410, decode.loss_mask: 0.6059, decode.loss_dice: 0.8827, decode.d0.loss_cls: 1.4237, decode.d0.loss_mask: 0.6375, decode.d0.loss_dice: 0.9805, decode.d1.loss_cls: 0.5357, decode.d1.loss_mask: 0.6271, decode.d1.loss_dice: 0.9253, decode.d2.loss_cls: 0.4764, decode.d2.loss_mask: 0.6135, decode.d2.loss_dice: 0.9077, decode.d3.loss_cls: 0.4519, decode.d3.loss_mask: 0.6077, decode.d3.loss_dice: 0.8901, decode.d4.loss_cls: 0.4443, decode.d4.loss_mask: 0.6095, decode.d4.loss_dice: 0.8907, decode.d5.loss_cls: 0.4476, decode.d5.loss_mask: 0.6097, decode.d5.loss_dice: 0.8894, decode.d6.loss_cls: 0.4409, decode.d6.loss_mask: 0.6066, decode.d6.loss_dice: 0.8821, decode.d7.loss_cls: 0.4403, decode.d7.loss_mask: 0.6081, decode.d7.loss_dice: 0.8835, decode.d8.loss_cls: 0.4410, decode.d8.loss_mask: 0.6046, decode.d8.loss_dice: 0.8827, loss: 20.6873, grad_norm: 44.0755 2023-11-12 04:01:14,564 - mmseg - INFO - Iter [37150/160000] lr: 7.678e-05, eta: 17:24:43, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4166, decode.loss_mask: 0.6081, decode.loss_dice: 0.8686, decode.d0.loss_cls: 1.4333, decode.d0.loss_mask: 0.6445, decode.d0.loss_dice: 0.9651, decode.d1.loss_cls: 0.4961, decode.d1.loss_mask: 0.6313, decode.d1.loss_dice: 0.9298, decode.d2.loss_cls: 0.4479, decode.d2.loss_mask: 0.6155, decode.d2.loss_dice: 0.8933, decode.d3.loss_cls: 0.4340, decode.d3.loss_mask: 0.6121, decode.d3.loss_dice: 0.8745, decode.d4.loss_cls: 0.4261, decode.d4.loss_mask: 0.6109, decode.d4.loss_dice: 0.8717, decode.d5.loss_cls: 0.4253, decode.d5.loss_mask: 0.6092, decode.d5.loss_dice: 0.8748, decode.d6.loss_cls: 0.4195, decode.d6.loss_mask: 0.6060, decode.d6.loss_dice: 0.8671, decode.d7.loss_cls: 0.4139, decode.d7.loss_mask: 0.6085, decode.d7.loss_dice: 0.8638, decode.d8.loss_cls: 0.4130, decode.d8.loss_mask: 0.6075, decode.d8.loss_dice: 0.8727, loss: 20.3606, grad_norm: 49.5852 2023-11-12 04:01:39,521 - mmseg - INFO - Iter [37200/160000] lr: 7.675e-05, eta: 17:24:16, time: 0.499, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4320, decode.loss_mask: 0.5865, decode.loss_dice: 0.8869, decode.d0.loss_cls: 1.4556, decode.d0.loss_mask: 0.6247, decode.d0.loss_dice: 0.9982, decode.d1.loss_cls: 0.5255, decode.d1.loss_mask: 0.6090, decode.d1.loss_dice: 0.9423, decode.d2.loss_cls: 0.4743, decode.d2.loss_mask: 0.5974, decode.d2.loss_dice: 0.9178, decode.d3.loss_cls: 0.4485, decode.d3.loss_mask: 0.5917, decode.d3.loss_dice: 0.8963, decode.d4.loss_cls: 0.4389, decode.d4.loss_mask: 0.5884, decode.d4.loss_dice: 0.8994, decode.d5.loss_cls: 0.4364, decode.d5.loss_mask: 0.5895, decode.d5.loss_dice: 0.8871, decode.d6.loss_cls: 0.4363, decode.d6.loss_mask: 0.5874, decode.d6.loss_dice: 0.8874, decode.d7.loss_cls: 0.4303, decode.d7.loss_mask: 0.5873, decode.d7.loss_dice: 0.8868, decode.d8.loss_cls: 0.4349, decode.d8.loss_mask: 0.5861, decode.d8.loss_dice: 0.8959, loss: 20.5588, grad_norm: 48.8855 2023-11-12 04:02:03,748 - mmseg - INFO - Iter [37250/160000] lr: 7.672e-05, eta: 17:23:46, time: 0.485, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4318, decode.loss_mask: 0.5783, decode.loss_dice: 0.8522, decode.d0.loss_cls: 1.4605, decode.d0.loss_mask: 0.6156, decode.d0.loss_dice: 0.9444, decode.d1.loss_cls: 0.5323, decode.d1.loss_mask: 0.6042, decode.d1.loss_dice: 0.9124, decode.d2.loss_cls: 0.4749, decode.d2.loss_mask: 0.5855, decode.d2.loss_dice: 0.8845, decode.d3.loss_cls: 0.4501, decode.d3.loss_mask: 0.5812, decode.d3.loss_dice: 0.8678, decode.d4.loss_cls: 0.4424, decode.d4.loss_mask: 0.5777, decode.d4.loss_dice: 0.8639, decode.d5.loss_cls: 0.4390, decode.d5.loss_mask: 0.5776, decode.d5.loss_dice: 0.8649, decode.d6.loss_cls: 0.4408, decode.d6.loss_mask: 0.5777, decode.d6.loss_dice: 0.8548, decode.d7.loss_cls: 0.4340, decode.d7.loss_mask: 0.5808, decode.d7.loss_dice: 0.8557, decode.d8.loss_cls: 0.4312, decode.d8.loss_mask: 0.5821, decode.d8.loss_dice: 0.8559, loss: 20.1542, grad_norm: 45.7801 2023-11-12 04:02:27,899 - mmseg - INFO - Iter [37300/160000] lr: 7.669e-05, eta: 17:23:16, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4147, decode.loss_mask: 0.6184, decode.loss_dice: 0.8924, decode.d0.loss_cls: 1.4122, decode.d0.loss_mask: 0.6585, decode.d0.loss_dice: 0.9749, decode.d1.loss_cls: 0.5085, decode.d1.loss_mask: 0.6389, decode.d1.loss_dice: 0.9382, decode.d2.loss_cls: 0.4521, decode.d2.loss_mask: 0.6297, decode.d2.loss_dice: 0.9107, decode.d3.loss_cls: 0.4351, decode.d3.loss_mask: 0.6210, decode.d3.loss_dice: 0.8968, decode.d4.loss_cls: 0.4286, decode.d4.loss_mask: 0.6203, decode.d4.loss_dice: 0.8976, decode.d5.loss_cls: 0.4312, decode.d5.loss_mask: 0.6210, decode.d5.loss_dice: 0.8927, decode.d6.loss_cls: 0.4208, decode.d6.loss_mask: 0.6179, decode.d6.loss_dice: 0.8856, decode.d7.loss_cls: 0.4184, decode.d7.loss_mask: 0.6205, decode.d7.loss_dice: 0.8841, decode.d8.loss_cls: 0.4162, decode.d8.loss_mask: 0.6197, decode.d8.loss_dice: 0.8917, loss: 20.6683, grad_norm: 45.8061 2023-11-12 04:02:52,102 - mmseg - INFO - Iter [37350/160000] lr: 7.666e-05, eta: 17:22:46, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4396, decode.loss_mask: 0.5979, decode.loss_dice: 0.8937, decode.d0.loss_cls: 1.4381, decode.d0.loss_mask: 0.6350, decode.d0.loss_dice: 0.9985, decode.d1.loss_cls: 0.5331, decode.d1.loss_mask: 0.6230, decode.d1.loss_dice: 0.9576, decode.d2.loss_cls: 0.4806, decode.d2.loss_mask: 0.6050, decode.d2.loss_dice: 0.9256, decode.d3.loss_cls: 0.4636, decode.d3.loss_mask: 0.5992, decode.d3.loss_dice: 0.9028, decode.d4.loss_cls: 0.4525, decode.d4.loss_mask: 0.5998, decode.d4.loss_dice: 0.9004, decode.d5.loss_cls: 0.4451, decode.d5.loss_mask: 0.6017, decode.d5.loss_dice: 0.9072, decode.d6.loss_cls: 0.4457, decode.d6.loss_mask: 0.5997, decode.d6.loss_dice: 0.8958, decode.d7.loss_cls: 0.4395, decode.d7.loss_mask: 0.5983, decode.d7.loss_dice: 0.9003, decode.d8.loss_cls: 0.4380, decode.d8.loss_mask: 0.5970, decode.d8.loss_dice: 0.8959, loss: 20.8102, grad_norm: 42.7792 2023-11-12 04:03:16,354 - mmseg - INFO - Iter [37400/160000] lr: 7.663e-05, eta: 17:22:16, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4041, decode.loss_mask: 0.5928, decode.loss_dice: 0.8774, decode.d0.loss_cls: 1.3938, decode.d0.loss_mask: 0.6307, decode.d0.loss_dice: 0.9742, decode.d1.loss_cls: 0.4994, decode.d1.loss_mask: 0.6195, decode.d1.loss_dice: 0.9319, decode.d2.loss_cls: 0.4450, decode.d2.loss_mask: 0.6060, decode.d2.loss_dice: 0.9062, decode.d3.loss_cls: 0.4294, decode.d3.loss_mask: 0.6001, decode.d3.loss_dice: 0.8838, decode.d4.loss_cls: 0.4173, decode.d4.loss_mask: 0.5957, decode.d4.loss_dice: 0.8818, decode.d5.loss_cls: 0.4078, decode.d5.loss_mask: 0.5976, decode.d5.loss_dice: 0.8867, decode.d6.loss_cls: 0.4081, decode.d6.loss_mask: 0.5942, decode.d6.loss_dice: 0.8751, decode.d7.loss_cls: 0.4022, decode.d7.loss_mask: 0.5942, decode.d7.loss_dice: 0.8772, decode.d8.loss_cls: 0.4036, decode.d8.loss_mask: 0.5947, decode.d8.loss_dice: 0.8775, loss: 20.2079, grad_norm: 48.0029 2023-11-12 04:03:40,643 - mmseg - INFO - Iter [37450/160000] lr: 7.659e-05, eta: 17:21:47, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4070, decode.loss_mask: 0.5864, decode.loss_dice: 0.8677, decode.d0.loss_cls: 1.4072, decode.d0.loss_mask: 0.6237, decode.d0.loss_dice: 0.9561, decode.d1.loss_cls: 0.4987, decode.d1.loss_mask: 0.6062, decode.d1.loss_dice: 0.9173, decode.d2.loss_cls: 0.4473, decode.d2.loss_mask: 0.5975, decode.d2.loss_dice: 0.8929, decode.d3.loss_cls: 0.4334, decode.d3.loss_mask: 0.5878, decode.d3.loss_dice: 0.8718, decode.d4.loss_cls: 0.4171, decode.d4.loss_mask: 0.5895, decode.d4.loss_dice: 0.8713, decode.d5.loss_cls: 0.4108, decode.d5.loss_mask: 0.5880, decode.d5.loss_dice: 0.8698, decode.d6.loss_cls: 0.4170, decode.d6.loss_mask: 0.5844, decode.d6.loss_dice: 0.8640, decode.d7.loss_cls: 0.4070, decode.d7.loss_mask: 0.5855, decode.d7.loss_dice: 0.8688, decode.d8.loss_cls: 0.4076, decode.d8.loss_mask: 0.5863, decode.d8.loss_dice: 0.8672, loss: 20.0353, grad_norm: 45.3084 2023-11-12 04:04:04,825 - mmseg - INFO - Iter [37500/160000] lr: 7.656e-05, eta: 17:21:17, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4100, decode.loss_mask: 0.5899, decode.loss_dice: 0.8687, decode.d0.loss_cls: 1.4337, decode.d0.loss_mask: 0.6222, decode.d0.loss_dice: 0.9621, decode.d1.loss_cls: 0.4951, decode.d1.loss_mask: 0.6175, decode.d1.loss_dice: 0.9294, decode.d2.loss_cls: 0.4530, decode.d2.loss_mask: 0.5960, decode.d2.loss_dice: 0.8961, decode.d3.loss_cls: 0.4320, decode.d3.loss_mask: 0.5952, decode.d3.loss_dice: 0.8751, decode.d4.loss_cls: 0.4249, decode.d4.loss_mask: 0.5913, decode.d4.loss_dice: 0.8733, decode.d5.loss_cls: 0.4224, decode.d5.loss_mask: 0.5905, decode.d5.loss_dice: 0.8778, decode.d6.loss_cls: 0.4218, decode.d6.loss_mask: 0.5877, decode.d6.loss_dice: 0.8646, decode.d7.loss_cls: 0.4122, decode.d7.loss_mask: 0.5887, decode.d7.loss_dice: 0.8746, decode.d8.loss_cls: 0.4156, decode.d8.loss_mask: 0.5900, decode.d8.loss_dice: 0.8680, loss: 20.1796, grad_norm: 44.4048 2023-11-12 04:04:29,149 - mmseg - INFO - Iter [37550/160000] lr: 7.653e-05, eta: 17:20:48, time: 0.486, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4061, decode.loss_mask: 0.5933, decode.loss_dice: 0.8581, decode.d0.loss_cls: 1.4306, decode.d0.loss_mask: 0.6319, decode.d0.loss_dice: 0.9548, decode.d1.loss_cls: 0.5018, decode.d1.loss_mask: 0.6185, decode.d1.loss_dice: 0.9199, decode.d2.loss_cls: 0.4503, decode.d2.loss_mask: 0.6100, decode.d2.loss_dice: 0.8890, decode.d3.loss_cls: 0.4329, decode.d3.loss_mask: 0.5986, decode.d3.loss_dice: 0.8694, decode.d4.loss_cls: 0.4132, decode.d4.loss_mask: 0.6004, decode.d4.loss_dice: 0.8743, decode.d5.loss_cls: 0.4062, decode.d5.loss_mask: 0.5960, decode.d5.loss_dice: 0.8743, decode.d6.loss_cls: 0.4110, decode.d6.loss_mask: 0.5970, decode.d6.loss_dice: 0.8623, decode.d7.loss_cls: 0.4022, decode.d7.loss_mask: 0.5983, decode.d7.loss_dice: 0.8653, decode.d8.loss_cls: 0.4062, decode.d8.loss_mask: 0.5942, decode.d8.loss_dice: 0.8641, loss: 20.1301, grad_norm: 47.0201 2023-11-12 04:04:54,161 - mmseg - INFO - Iter [37600/160000] lr: 7.650e-05, eta: 17:20:21, time: 0.500, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4113, decode.loss_mask: 0.5890, decode.loss_dice: 0.8547, decode.d0.loss_cls: 1.4147, decode.d0.loss_mask: 0.6197, decode.d0.loss_dice: 0.9394, decode.d1.loss_cls: 0.4928, decode.d1.loss_mask: 0.6041, decode.d1.loss_dice: 0.9111, decode.d2.loss_cls: 0.4472, decode.d2.loss_mask: 0.5910, decode.d2.loss_dice: 0.8737, decode.d3.loss_cls: 0.4306, decode.d3.loss_mask: 0.5902, decode.d3.loss_dice: 0.8585, decode.d4.loss_cls: 0.4187, decode.d4.loss_mask: 0.5918, decode.d4.loss_dice: 0.8588, decode.d5.loss_cls: 0.4143, decode.d5.loss_mask: 0.5919, decode.d5.loss_dice: 0.8596, decode.d6.loss_cls: 0.4128, decode.d6.loss_mask: 0.5897, decode.d6.loss_dice: 0.8537, decode.d7.loss_cls: 0.4080, decode.d7.loss_mask: 0.5904, decode.d7.loss_dice: 0.8520, decode.d8.loss_cls: 0.4113, decode.d8.loss_mask: 0.5882, decode.d8.loss_dice: 0.8542, loss: 19.9234, grad_norm: 43.4060 2023-11-12 04:05:18,731 - mmseg - INFO - Iter [37650/160000] lr: 7.647e-05, eta: 17:19:52, time: 0.491, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4538, decode.loss_mask: 0.6011, decode.loss_dice: 0.8963, decode.d0.loss_cls: 1.4745, decode.d0.loss_mask: 0.6378, decode.d0.loss_dice: 0.9961, decode.d1.loss_cls: 0.5541, decode.d1.loss_mask: 0.6291, decode.d1.loss_dice: 0.9609, decode.d2.loss_cls: 0.5019, decode.d2.loss_mask: 0.6202, decode.d2.loss_dice: 0.9223, decode.d3.loss_cls: 0.4759, decode.d3.loss_mask: 0.6069, decode.d3.loss_dice: 0.9028, decode.d4.loss_cls: 0.4692, decode.d4.loss_mask: 0.6061, decode.d4.loss_dice: 0.8987, decode.d5.loss_cls: 0.4616, decode.d5.loss_mask: 0.6086, decode.d5.loss_dice: 0.9003, decode.d6.loss_cls: 0.4611, decode.d6.loss_mask: 0.6011, decode.d6.loss_dice: 0.8962, decode.d7.loss_cls: 0.4562, decode.d7.loss_mask: 0.6041, decode.d7.loss_dice: 0.8986, decode.d8.loss_cls: 0.4537, decode.d8.loss_mask: 0.6076, decode.d8.loss_dice: 0.9006, loss: 21.0571, grad_norm: 48.8685 2023-11-12 04:05:42,880 - mmseg - INFO - Iter [37700/160000] lr: 7.644e-05, eta: 17:19:22, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4277, decode.loss_mask: 0.6130, decode.loss_dice: 0.8986, decode.d0.loss_cls: 1.4032, decode.d0.loss_mask: 0.6566, decode.d0.loss_dice: 1.0041, decode.d1.loss_cls: 0.5193, decode.d1.loss_mask: 0.6401, decode.d1.loss_dice: 0.9634, decode.d2.loss_cls: 0.4739, decode.d2.loss_mask: 0.6185, decode.d2.loss_dice: 0.9213, decode.d3.loss_cls: 0.4454, decode.d3.loss_mask: 0.6194, decode.d3.loss_dice: 0.9044, decode.d4.loss_cls: 0.4358, decode.d4.loss_mask: 0.6179, decode.d4.loss_dice: 0.9126, decode.d5.loss_cls: 0.4335, decode.d5.loss_mask: 0.6164, decode.d5.loss_dice: 0.9066, decode.d6.loss_cls: 0.4343, decode.d6.loss_mask: 0.6157, decode.d6.loss_dice: 0.8986, decode.d7.loss_cls: 0.4315, decode.d7.loss_mask: 0.6133, decode.d7.loss_dice: 0.8995, decode.d8.loss_cls: 0.4302, decode.d8.loss_mask: 0.6133, decode.d8.loss_dice: 0.8987, loss: 20.8666, grad_norm: 46.7148 2023-11-12 04:06:06,948 - mmseg - INFO - Iter [37750/160000] lr: 7.641e-05, eta: 17:18:52, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4201, decode.loss_mask: 0.5929, decode.loss_dice: 0.8562, decode.d0.loss_cls: 1.4210, decode.d0.loss_mask: 0.6238, decode.d0.loss_dice: 0.9651, decode.d1.loss_cls: 0.5069, decode.d1.loss_mask: 0.6156, decode.d1.loss_dice: 0.9178, decode.d2.loss_cls: 0.4573, decode.d2.loss_mask: 0.6011, decode.d2.loss_dice: 0.8896, decode.d3.loss_cls: 0.4424, decode.d3.loss_mask: 0.5929, decode.d3.loss_dice: 0.8727, decode.d4.loss_cls: 0.4359, decode.d4.loss_mask: 0.5909, decode.d4.loss_dice: 0.8672, decode.d5.loss_cls: 0.4266, decode.d5.loss_mask: 0.5946, decode.d5.loss_dice: 0.8727, decode.d6.loss_cls: 0.4233, decode.d6.loss_mask: 0.5947, decode.d6.loss_dice: 0.8579, decode.d7.loss_cls: 0.4245, decode.d7.loss_mask: 0.5905, decode.d7.loss_dice: 0.8641, decode.d8.loss_cls: 0.4189, decode.d8.loss_mask: 0.5939, decode.d8.loss_dice: 0.8668, loss: 20.1978, grad_norm: 45.8289 2023-11-12 04:06:31,090 - mmseg - INFO - Iter [37800/160000] lr: 7.638e-05, eta: 17:18:22, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4298, decode.loss_mask: 0.5951, decode.loss_dice: 0.8836, decode.d0.loss_cls: 1.4438, decode.d0.loss_mask: 0.6256, decode.d0.loss_dice: 0.9720, decode.d1.loss_cls: 0.5231, decode.d1.loss_mask: 0.6172, decode.d1.loss_dice: 0.9373, decode.d2.loss_cls: 0.4804, decode.d2.loss_mask: 0.6002, decode.d2.loss_dice: 0.9008, decode.d3.loss_cls: 0.4549, decode.d3.loss_mask: 0.5965, decode.d3.loss_dice: 0.8877, decode.d4.loss_cls: 0.4496, decode.d4.loss_mask: 0.5944, decode.d4.loss_dice: 0.8898, decode.d5.loss_cls: 0.4396, decode.d5.loss_mask: 0.5961, decode.d5.loss_dice: 0.8873, decode.d6.loss_cls: 0.4343, decode.d6.loss_mask: 0.5964, decode.d6.loss_dice: 0.8818, decode.d7.loss_cls: 0.4347, decode.d7.loss_mask: 0.5948, decode.d7.loss_dice: 0.8870, decode.d8.loss_cls: 0.4342, decode.d8.loss_mask: 0.5933, decode.d8.loss_dice: 0.8826, loss: 20.5442, grad_norm: 46.7027 2023-11-12 04:06:55,230 - mmseg - INFO - Iter [37850/160000] lr: 7.634e-05, eta: 17:17:52, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4416, decode.loss_mask: 0.6076, decode.loss_dice: 0.8784, decode.d0.loss_cls: 1.4458, decode.d0.loss_mask: 0.6432, decode.d0.loss_dice: 0.9706, decode.d1.loss_cls: 0.5373, decode.d1.loss_mask: 0.6298, decode.d1.loss_dice: 0.9378, decode.d2.loss_cls: 0.4810, decode.d2.loss_mask: 0.6190, decode.d2.loss_dice: 0.9012, decode.d3.loss_cls: 0.4651, decode.d3.loss_mask: 0.6088, decode.d3.loss_dice: 0.8869, decode.d4.loss_cls: 0.4552, decode.d4.loss_mask: 0.6094, decode.d4.loss_dice: 0.8874, decode.d5.loss_cls: 0.4515, decode.d5.loss_mask: 0.6081, decode.d5.loss_dice: 0.8804, decode.d6.loss_cls: 0.4461, decode.d6.loss_mask: 0.6050, decode.d6.loss_dice: 0.8730, decode.d7.loss_cls: 0.4435, decode.d7.loss_mask: 0.6062, decode.d7.loss_dice: 0.8768, decode.d8.loss_cls: 0.4479, decode.d8.loss_mask: 0.6035, decode.d8.loss_dice: 0.8764, loss: 20.7245, grad_norm: 49.1196 2023-11-12 04:07:23,130 - mmseg - INFO - Iter [37900/160000] lr: 7.631e-05, eta: 17:17:35, time: 0.558, data_time: 0.059, memory: 41146, decode.loss_cls: 0.4134, decode.loss_mask: 0.5892, decode.loss_dice: 0.8582, decode.d0.loss_cls: 1.4094, decode.d0.loss_mask: 0.6327, decode.d0.loss_dice: 0.9509, decode.d1.loss_cls: 0.5025, decode.d1.loss_mask: 0.6187, decode.d1.loss_dice: 0.9154, decode.d2.loss_cls: 0.4492, decode.d2.loss_mask: 0.5996, decode.d2.loss_dice: 0.8851, decode.d3.loss_cls: 0.4364, decode.d3.loss_mask: 0.5953, decode.d3.loss_dice: 0.8644, decode.d4.loss_cls: 0.4176, decode.d4.loss_mask: 0.5958, decode.d4.loss_dice: 0.8696, decode.d5.loss_cls: 0.4153, decode.d5.loss_mask: 0.5971, decode.d5.loss_dice: 0.8629, decode.d6.loss_cls: 0.4167, decode.d6.loss_mask: 0.5946, decode.d6.loss_dice: 0.8576, decode.d7.loss_cls: 0.4097, decode.d7.loss_mask: 0.5933, decode.d7.loss_dice: 0.8611, decode.d8.loss_cls: 0.4141, decode.d8.loss_mask: 0.5916, decode.d8.loss_dice: 0.8608, loss: 20.0781, grad_norm: 44.9711 2023-11-12 04:07:47,646 - mmseg - INFO - Iter [37950/160000] lr: 7.628e-05, eta: 17:17:06, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4110, decode.loss_mask: 0.5786, decode.loss_dice: 0.8473, decode.d0.loss_cls: 1.4320, decode.d0.loss_mask: 0.6129, decode.d0.loss_dice: 0.9489, decode.d1.loss_cls: 0.5133, decode.d1.loss_mask: 0.6021, decode.d1.loss_dice: 0.9119, decode.d2.loss_cls: 0.4532, decode.d2.loss_mask: 0.5879, decode.d2.loss_dice: 0.8770, decode.d3.loss_cls: 0.4305, decode.d3.loss_mask: 0.5829, decode.d3.loss_dice: 0.8605, decode.d4.loss_cls: 0.4163, decode.d4.loss_mask: 0.5803, decode.d4.loss_dice: 0.8557, decode.d5.loss_cls: 0.4172, decode.d5.loss_mask: 0.5808, decode.d5.loss_dice: 0.8557, decode.d6.loss_cls: 0.4147, decode.d6.loss_mask: 0.5779, decode.d6.loss_dice: 0.8440, decode.d7.loss_cls: 0.4135, decode.d7.loss_mask: 0.5780, decode.d7.loss_dice: 0.8465, decode.d8.loss_cls: 0.4084, decode.d8.loss_mask: 0.5775, decode.d8.loss_dice: 0.8494, loss: 19.8659, grad_norm: 45.3332 2023-11-12 04:08:11,801 - mmseg - INFO - Saving checkpoint at 38000 iterations 2023-11-12 04:08:15,441 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 04:08:15,441 - mmseg - INFO - Iter [38000/160000] lr: 7.625e-05, eta: 17:16:48, time: 0.556, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4064, decode.loss_mask: 0.5824, decode.loss_dice: 0.8543, decode.d0.loss_cls: 1.4395, decode.d0.loss_mask: 0.6178, decode.d0.loss_dice: 0.9540, decode.d1.loss_cls: 0.5036, decode.d1.loss_mask: 0.6071, decode.d1.loss_dice: 0.9228, decode.d2.loss_cls: 0.4406, decode.d2.loss_mask: 0.5939, decode.d2.loss_dice: 0.8920, decode.d3.loss_cls: 0.4242, decode.d3.loss_mask: 0.5875, decode.d3.loss_dice: 0.8758, decode.d4.loss_cls: 0.4207, decode.d4.loss_mask: 0.5876, decode.d4.loss_dice: 0.8728, decode.d5.loss_cls: 0.4139, decode.d5.loss_mask: 0.5812, decode.d5.loss_dice: 0.8694, decode.d6.loss_cls: 0.4106, decode.d6.loss_mask: 0.5837, decode.d6.loss_dice: 0.8602, decode.d7.loss_cls: 0.4044, decode.d7.loss_mask: 0.5797, decode.d7.loss_dice: 0.8597, decode.d8.loss_cls: 0.3969, decode.d8.loss_mask: 0.5819, decode.d8.loss_dice: 0.8619, loss: 19.9867, grad_norm: 46.7479 2023-11-12 04:08:39,265 - mmseg - INFO - per class results: 2023-11-12 04:08:39,270 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.39 | 87.0 | | building | 81.91 | 88.9 | | sky | 94.89 | 97.64 | | floor | 83.57 | 89.65 | | tree | 75.53 | 86.0 | | ceiling | 84.69 | 90.59 | | road | 82.96 | 88.44 | | bed | 89.38 | 94.44 | | windowpane | 64.18 | 79.38 | | grass | 65.52 | 74.06 | | cabinet | 60.95 | 74.34 | | sidewalk | 63.73 | 86.19 | | person | 84.49 | 93.09 | | earth | 34.94 | 54.67 | | door | 52.88 | 78.19 | | table | 65.08 | 79.24 | | mountain | 62.19 | 74.66 | | plant | 53.59 | 73.77 | | curtain | 77.42 | 86.91 | | chair | 59.43 | 78.37 | | car | 84.61 | 91.76 | | water | 55.18 | 71.96 | | painting | 72.53 | 88.48 | | sofa | 72.46 | 83.2 | | shelf | 39.55 | 57.57 | | house | 41.58 | 82.99 | | sea | 57.08 | 79.63 | | mirror | 72.32 | 85.56 | | rug | 69.21 | 85.94 | | field | 30.31 | 40.31 | | armchair | 48.64 | 72.8 | | seat | 59.12 | 76.12 | | fence | 46.39 | 62.46 | | desk | 46.38 | 65.55 | | rock | 45.16 | 68.88 | | wardrobe | 46.54 | 63.65 | | lamp | 67.41 | 82.09 | | bathtub | 82.53 | 91.45 | | railing | 33.22 | 50.82 | | cushion | 61.69 | 75.33 | | base | 34.81 | 59.63 | | box | 28.05 | 38.21 | | column | 49.71 | 65.36 | | signboard | 34.47 | 60.93 | | chest of drawers | 43.97 | 73.71 | | counter | 38.16 | 55.19 | | sand | 22.96 | 48.78 | | sink | 75.09 | 82.24 | | skyscraper | 37.97 | 44.59 | | fireplace | 63.66 | 76.8 | | refrigerator | 81.57 | 92.67 | | grandstand | 60.34 | 69.69 | | path | 16.35 | 23.96 | | stairs | 42.43 | 69.76 | | runway | 76.97 | 90.26 | | case | 47.99 | 72.86 | | pool table | 94.97 | 97.66 | | pillow | 59.17 | 78.85 | | screen door | 71.76 | 81.16 | | stairway | 31.58 | 35.92 | | river | 15.95 | 22.82 | | bridge | 43.28 | 50.34 | | bookcase | 26.07 | 47.15 | | blind | 44.3 | 48.16 | | coffee table | 64.51 | 85.82 | | toilet | 88.56 | 92.64 | | flower | 39.85 | 53.49 | | book | 52.01 | 80.2 | | hill | 7.02 | 13.03 | | bench | 48.02 | 61.55 | | countertop | 51.18 | 80.61 | | stove | 76.11 | 82.8 | | palm | 57.37 | 75.93 | | kitchen island | 58.25 | 81.42 | | computer | 77.37 | 84.75 | | swivel chair | 39.63 | 52.66 | | boat | 77.87 | 88.11 | | bar | 29.55 | 32.42 | | arcade machine | 74.82 | 79.52 | | hovel | 0.18 | 0.19 | | bus | 94.16 | 96.69 | | towel | 68.62 | 81.76 | | light | 59.52 | 76.25 | | truck | 28.64 | 49.86 | | tower | 13.49 | 22.34 | | chandelier | 67.72 | 85.33 | | awning | 32.62 | 54.9 | | streetlight | 41.06 | 67.13 | | booth | 26.04 | 40.02 | | television receiver | 69.62 | 82.28 | | airplane | 63.01 | 70.8 | | dirt track | 0.0 | 0.0 | | apparel | 28.57 | 48.57 | | pole | 22.65 | 34.1 | | land | 0.11 | 0.13 | | bannister | 16.99 | 29.81 | | escalator | 55.49 | 71.24 | | ottoman | 53.7 | 70.63 | | bottle | 27.76 | 36.71 | | buffet | 38.71 | 54.82 | | poster | 26.52 | 37.64 | | stage | 20.46 | 31.99 | | van | 47.26 | 71.84 | | ship | 9.8 | 10.63 | | fountain | 17.49 | 21.6 | | conveyer belt | 66.3 | 91.83 | | canopy | 17.12 | 34.41 | | washer | 72.45 | 74.85 | | plaything | 34.51 | 70.52 | | swimming pool | 37.96 | 40.37 | | stool | 50.36 | 63.63 | | barrel | 68.05 | 74.58 | | basket | 44.3 | 62.21 | | waterfall | 56.67 | 89.14 | | tent | 77.74 | 98.12 | | bag | 21.4 | 30.06 | | minibike | 68.76 | 91.75 | | cradle | 85.96 | 97.71 | | oven | 26.69 | 80.35 | | ball | 25.13 | 29.83 | | food | 63.81 | 78.4 | | step | 18.28 | 28.07 | | tank | 55.3 | 56.32 | | trade name | 21.97 | 27.93 | | microwave | 42.09 | 45.32 | | pot | 47.31 | 58.06 | | animal | 72.31 | 74.48 | | bicycle | 63.54 | 81.91 | | lake | 0.0 | 0.0 | | dishwasher | 73.89 | 83.37 | | screen | 57.33 | 78.54 | | blanket | 27.0 | 45.97 | | sculpture | 53.63 | 87.59 | | hood | 61.74 | 75.96 | | sconce | 48.48 | 76.24 | | vase | 47.76 | 74.56 | | traffic light | 34.34 | 71.02 | | tray | 16.71 | 29.49 | | ashcan | 50.1 | 67.65 | | fan | 64.43 | 84.56 | | pier | 10.67 | 16.75 | | crt screen | 4.98 | 14.48 | | plate | 64.07 | 78.33 | | monitor | 0.34 | 0.34 | | bulletin board | 34.83 | 52.54 | | shower | 10.7 | 21.19 | | radiator | 69.92 | 83.53 | | glass | 22.51 | 25.87 | | clock | 37.08 | 44.41 | | flag | 47.71 | 54.27 | +---------------------+-------+-------+ 2023-11-12 04:08:39,270 - mmseg - INFO - Summary: 2023-11-12 04:08:39,270 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.23 | 49.59 | 63.72 | +-------+-------+-------+ 2023-11-12 04:08:39,271 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 04:08:39,271 - mmseg - INFO - Iter(val) [250] aAcc: 0.8323, mIoU: 0.4959, mAcc: 0.6372, IoU.wall: 0.7939, IoU.building: 0.8191, IoU.sky: 0.9489, IoU.floor: 0.8357, IoU.tree: 0.7553, IoU.ceiling: 0.8469, IoU.road: 0.8296, IoU.bed : 0.8938, IoU.windowpane: 0.6418, IoU.grass: 0.6552, IoU.cabinet: 0.6095, IoU.sidewalk: 0.6373, IoU.person: 0.8449, IoU.earth: 0.3494, IoU.door: 0.5288, IoU.table: 0.6508, IoU.mountain: 0.6219, IoU.plant: 0.5359, IoU.curtain: 0.7742, IoU.chair: 0.5943, IoU.car: 0.8461, IoU.water: 0.5518, IoU.painting: 0.7253, IoU.sofa: 0.7246, IoU.shelf: 0.3955, IoU.house: 0.4158, IoU.sea: 0.5708, IoU.mirror: 0.7232, IoU.rug: 0.6921, IoU.field: 0.3031, IoU.armchair: 0.4864, IoU.seat: 0.5912, IoU.fence: 0.4639, IoU.desk: 0.4638, IoU.rock: 0.4516, IoU.wardrobe: 0.4654, IoU.lamp: 0.6741, IoU.bathtub: 0.8253, IoU.railing: 0.3322, IoU.cushion: 0.6169, IoU.base: 0.3481, IoU.box: 0.2805, IoU.column: 0.4971, IoU.signboard: 0.3447, IoU.chest of drawers: 0.4397, IoU.counter: 0.3816, IoU.sand: 0.2296, IoU.sink: 0.7509, IoU.skyscraper: 0.3797, IoU.fireplace: 0.6366, IoU.refrigerator: 0.8157, IoU.grandstand: 0.6034, IoU.path: 0.1635, IoU.stairs: 0.4243, IoU.runway: 0.7697, IoU.case: 0.4799, IoU.pool table: 0.9497, IoU.pillow: 0.5917, IoU.screen door: 0.7176, IoU.stairway: 0.3158, IoU.river: 0.1595, IoU.bridge: 0.4328, IoU.bookcase: 0.2607, IoU.blind: 0.4430, IoU.coffee table: 0.6451, IoU.toilet: 0.8856, IoU.flower: 0.3985, IoU.book: 0.5201, IoU.hill: 0.0702, IoU.bench: 0.4802, IoU.countertop: 0.5118, IoU.stove: 0.7611, IoU.palm: 0.5737, IoU.kitchen island: 0.5825, IoU.computer: 0.7737, IoU.swivel chair: 0.3963, IoU.boat: 0.7787, IoU.bar: 0.2955, IoU.arcade machine: 0.7482, IoU.hovel: 0.0018, IoU.bus: 0.9416, IoU.towel: 0.6862, IoU.light: 0.5952, IoU.truck: 0.2864, IoU.tower: 0.1349, IoU.chandelier: 0.6772, IoU.awning: 0.3262, IoU.streetlight: 0.4106, IoU.booth: 0.2604, IoU.television receiver: 0.6962, IoU.airplane: 0.6301, IoU.dirt track: 0.0000, IoU.apparel: 0.2857, IoU.pole: 0.2265, IoU.land: 0.0011, IoU.bannister: 0.1699, IoU.escalator: 0.5549, IoU.ottoman: 0.5370, IoU.bottle: 0.2776, IoU.buffet: 0.3871, IoU.poster: 0.2652, IoU.stage: 0.2046, IoU.van: 0.4726, IoU.ship: 0.0980, IoU.fountain: 0.1749, IoU.conveyer belt: 0.6630, IoU.canopy: 0.1712, IoU.washer: 0.7245, IoU.plaything: 0.3451, IoU.swimming pool: 0.3796, IoU.stool: 0.5036, IoU.barrel: 0.6805, IoU.basket: 0.4430, IoU.waterfall: 0.5667, IoU.tent: 0.7774, IoU.bag: 0.2140, IoU.minibike: 0.6876, IoU.cradle: 0.8596, IoU.oven: 0.2669, IoU.ball: 0.2513, IoU.food: 0.6381, IoU.step: 0.1828, IoU.tank: 0.5530, IoU.trade name: 0.2197, IoU.microwave: 0.4209, IoU.pot: 0.4731, IoU.animal: 0.7231, IoU.bicycle: 0.6354, IoU.lake: 0.0000, IoU.dishwasher: 0.7389, IoU.screen: 0.5733, IoU.blanket: 0.2700, IoU.sculpture: 0.5363, IoU.hood: 0.6174, IoU.sconce: 0.4848, IoU.vase: 0.4776, IoU.traffic light: 0.3434, IoU.tray: 0.1671, IoU.ashcan: 0.5010, IoU.fan: 0.6443, IoU.pier: 0.1067, IoU.crt screen: 0.0498, IoU.plate: 0.6407, IoU.monitor: 0.0034, IoU.bulletin board: 0.3483, IoU.shower: 0.1070, IoU.radiator: 0.6992, IoU.glass: 0.2251, IoU.clock: 0.3708, IoU.flag: 0.4771, Acc.wall: 0.8700, Acc.building: 0.8890, Acc.sky: 0.9764, Acc.floor: 0.8965, Acc.tree: 0.8600, Acc.ceiling: 0.9059, Acc.road: 0.8844, Acc.bed : 0.9444, Acc.windowpane: 0.7938, Acc.grass: 0.7406, Acc.cabinet: 0.7434, Acc.sidewalk: 0.8619, Acc.person: 0.9309, Acc.earth: 0.5467, Acc.door: 0.7819, Acc.table: 0.7924, Acc.mountain: 0.7466, Acc.plant: 0.7377, Acc.curtain: 0.8691, Acc.chair: 0.7837, Acc.car: 0.9176, Acc.water: 0.7196, Acc.painting: 0.8848, Acc.sofa: 0.8320, Acc.shelf: 0.5757, Acc.house: 0.8299, Acc.sea: 0.7963, Acc.mirror: 0.8556, Acc.rug: 0.8594, Acc.field: 0.4031, Acc.armchair: 0.7280, Acc.seat: 0.7612, Acc.fence: 0.6246, Acc.desk: 0.6555, Acc.rock: 0.6888, Acc.wardrobe: 0.6365, Acc.lamp: 0.8209, Acc.bathtub: 0.9145, Acc.railing: 0.5082, Acc.cushion: 0.7533, Acc.base: 0.5963, Acc.box: 0.3821, Acc.column: 0.6536, Acc.signboard: 0.6093, Acc.chest of drawers: 0.7371, Acc.counter: 0.5519, Acc.sand: 0.4878, Acc.sink: 0.8224, Acc.skyscraper: 0.4459, Acc.fireplace: 0.7680, Acc.refrigerator: 0.9267, Acc.grandstand: 0.6969, Acc.path: 0.2396, Acc.stairs: 0.6976, Acc.runway: 0.9026, Acc.case: 0.7286, Acc.pool table: 0.9766, Acc.pillow: 0.7885, Acc.screen door: 0.8116, Acc.stairway: 0.3592, Acc.river: 0.2282, Acc.bridge: 0.5034, Acc.bookcase: 0.4715, Acc.blind: 0.4816, Acc.coffee table: 0.8582, Acc.toilet: 0.9264, Acc.flower: 0.5349, Acc.book: 0.8020, Acc.hill: 0.1303, Acc.bench: 0.6155, Acc.countertop: 0.8061, Acc.stove: 0.8280, Acc.palm: 0.7593, Acc.kitchen island: 0.8142, Acc.computer: 0.8475, Acc.swivel chair: 0.5266, Acc.boat: 0.8811, Acc.bar: 0.3242, Acc.arcade machine: 0.7952, Acc.hovel: 0.0019, Acc.bus: 0.9669, Acc.towel: 0.8176, Acc.light: 0.7625, Acc.truck: 0.4986, Acc.tower: 0.2234, Acc.chandelier: 0.8533, Acc.awning: 0.5490, Acc.streetlight: 0.6713, Acc.booth: 0.4002, Acc.television receiver: 0.8228, Acc.airplane: 0.7080, Acc.dirt track: 0.0000, Acc.apparel: 0.4857, Acc.pole: 0.3410, Acc.land: 0.0013, Acc.bannister: 0.2981, Acc.escalator: 0.7124, Acc.ottoman: 0.7063, Acc.bottle: 0.3671, Acc.buffet: 0.5482, Acc.poster: 0.3764, Acc.stage: 0.3199, Acc.van: 0.7184, Acc.ship: 0.1063, Acc.fountain: 0.2160, Acc.conveyer belt: 0.9183, Acc.canopy: 0.3441, Acc.washer: 0.7485, Acc.plaything: 0.7052, Acc.swimming pool: 0.4037, Acc.stool: 0.6363, Acc.barrel: 0.7458, Acc.basket: 0.6221, Acc.waterfall: 0.8914, Acc.tent: 0.9812, Acc.bag: 0.3006, Acc.minibike: 0.9175, Acc.cradle: 0.9771, Acc.oven: 0.8035, Acc.ball: 0.2983, Acc.food: 0.7840, Acc.step: 0.2807, Acc.tank: 0.5632, Acc.trade name: 0.2793, Acc.microwave: 0.4532, Acc.pot: 0.5806, Acc.animal: 0.7448, Acc.bicycle: 0.8191, Acc.lake: 0.0000, Acc.dishwasher: 0.8337, Acc.screen: 0.7854, Acc.blanket: 0.4597, Acc.sculpture: 0.8759, Acc.hood: 0.7596, Acc.sconce: 0.7624, Acc.vase: 0.7456, Acc.traffic light: 0.7102, Acc.tray: 0.2949, Acc.ashcan: 0.6765, Acc.fan: 0.8456, Acc.pier: 0.1675, Acc.crt screen: 0.1448, Acc.plate: 0.7833, Acc.monitor: 0.0034, Acc.bulletin board: 0.5254, Acc.shower: 0.2119, Acc.radiator: 0.8353, Acc.glass: 0.2587, Acc.clock: 0.4441, Acc.flag: 0.5427 2023-11-12 04:09:03,469 - mmseg - INFO - Iter [38050/160000] lr: 7.622e-05, eta: 17:17:35, time: 0.960, data_time: 0.489, memory: 41146, decode.loss_cls: 0.4089, decode.loss_mask: 0.5897, decode.loss_dice: 0.8665, decode.d0.loss_cls: 1.4152, decode.d0.loss_mask: 0.6151, decode.d0.loss_dice: 0.9502, decode.d1.loss_cls: 0.5100, decode.d1.loss_mask: 0.6087, decode.d1.loss_dice: 0.9146, decode.d2.loss_cls: 0.4615, decode.d2.loss_mask: 0.5969, decode.d2.loss_dice: 0.8893, decode.d3.loss_cls: 0.4252, decode.d3.loss_mask: 0.5926, decode.d3.loss_dice: 0.8800, decode.d4.loss_cls: 0.4227, decode.d4.loss_mask: 0.5888, decode.d4.loss_dice: 0.8761, decode.d5.loss_cls: 0.4227, decode.d5.loss_mask: 0.5877, decode.d5.loss_dice: 0.8726, decode.d6.loss_cls: 0.4165, decode.d6.loss_mask: 0.5884, decode.d6.loss_dice: 0.8664, decode.d7.loss_cls: 0.4155, decode.d7.loss_mask: 0.5876, decode.d7.loss_dice: 0.8676, decode.d8.loss_cls: 0.4055, decode.d8.loss_mask: 0.5929, decode.d8.loss_dice: 0.8687, loss: 20.1043, grad_norm: 45.8461 2023-11-12 04:09:27,569 - mmseg - INFO - Iter [38100/160000] lr: 7.619e-05, eta: 17:17:05, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4109, decode.loss_mask: 0.6088, decode.loss_dice: 0.9157, decode.d0.loss_cls: 1.4347, decode.d0.loss_mask: 0.6447, decode.d0.loss_dice: 1.0095, decode.d1.loss_cls: 0.5159, decode.d1.loss_mask: 0.6263, decode.d1.loss_dice: 0.9686, decode.d2.loss_cls: 0.4563, decode.d2.loss_mask: 0.6140, decode.d2.loss_dice: 0.9347, decode.d3.loss_cls: 0.4328, decode.d3.loss_mask: 0.6116, decode.d3.loss_dice: 0.9160, decode.d4.loss_cls: 0.4223, decode.d4.loss_mask: 0.6122, decode.d4.loss_dice: 0.9210, decode.d5.loss_cls: 0.4197, decode.d5.loss_mask: 0.6095, decode.d5.loss_dice: 0.9196, decode.d6.loss_cls: 0.4155, decode.d6.loss_mask: 0.6090, decode.d6.loss_dice: 0.9084, decode.d7.loss_cls: 0.4084, decode.d7.loss_mask: 0.6098, decode.d7.loss_dice: 0.9130, decode.d8.loss_cls: 0.4071, decode.d8.loss_mask: 0.6089, decode.d8.loss_dice: 0.9131, loss: 20.7980, grad_norm: 45.1981 2023-11-12 04:09:51,592 - mmseg - INFO - Iter [38150/160000] lr: 7.616e-05, eta: 17:16:34, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3943, decode.loss_mask: 0.5893, decode.loss_dice: 0.8593, decode.d0.loss_cls: 1.4185, decode.d0.loss_mask: 0.6183, decode.d0.loss_dice: 0.9584, decode.d1.loss_cls: 0.4804, decode.d1.loss_mask: 0.6085, decode.d1.loss_dice: 0.9144, decode.d2.loss_cls: 0.4349, decode.d2.loss_mask: 0.5992, decode.d2.loss_dice: 0.8848, decode.d3.loss_cls: 0.4154, decode.d3.loss_mask: 0.5906, decode.d3.loss_dice: 0.8680, decode.d4.loss_cls: 0.4085, decode.d4.loss_mask: 0.5913, decode.d4.loss_dice: 0.8683, decode.d5.loss_cls: 0.4029, decode.d5.loss_mask: 0.5890, decode.d5.loss_dice: 0.8678, decode.d6.loss_cls: 0.4004, decode.d6.loss_mask: 0.5884, decode.d6.loss_dice: 0.8585, decode.d7.loss_cls: 0.3997, decode.d7.loss_mask: 0.5914, decode.d7.loss_dice: 0.8573, decode.d8.loss_cls: 0.3952, decode.d8.loss_mask: 0.5921, decode.d8.loss_dice: 0.8591, loss: 19.9042, grad_norm: 49.1493 2023-11-12 04:10:15,616 - mmseg - INFO - Iter [38200/160000] lr: 7.613e-05, eta: 17:16:04, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4130, decode.loss_mask: 0.6042, decode.loss_dice: 0.8624, decode.d0.loss_cls: 1.3791, decode.d0.loss_mask: 0.6449, decode.d0.loss_dice: 0.9570, decode.d1.loss_cls: 0.5153, decode.d1.loss_mask: 0.6311, decode.d1.loss_dice: 0.9211, decode.d2.loss_cls: 0.4532, decode.d2.loss_mask: 0.6160, decode.d2.loss_dice: 0.8931, decode.d3.loss_cls: 0.4370, decode.d3.loss_mask: 0.6095, decode.d3.loss_dice: 0.8764, decode.d4.loss_cls: 0.4224, decode.d4.loss_mask: 0.6112, decode.d4.loss_dice: 0.8765, decode.d5.loss_cls: 0.4177, decode.d5.loss_mask: 0.6068, decode.d5.loss_dice: 0.8753, decode.d6.loss_cls: 0.4150, decode.d6.loss_mask: 0.6065, decode.d6.loss_dice: 0.8649, decode.d7.loss_cls: 0.4094, decode.d7.loss_mask: 0.6074, decode.d7.loss_dice: 0.8716, decode.d8.loss_cls: 0.4104, decode.d8.loss_mask: 0.6086, decode.d8.loss_dice: 0.8709, loss: 20.2878, grad_norm: 50.7809 2023-11-12 04:10:39,698 - mmseg - INFO - Iter [38250/160000] lr: 7.609e-05, eta: 17:15:34, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4397, decode.loss_mask: 0.5919, decode.loss_dice: 0.8729, decode.d0.loss_cls: 1.4579, decode.d0.loss_mask: 0.6239, decode.d0.loss_dice: 0.9711, decode.d1.loss_cls: 0.5230, decode.d1.loss_mask: 0.6159, decode.d1.loss_dice: 0.9378, decode.d2.loss_cls: 0.4693, decode.d2.loss_mask: 0.6041, decode.d2.loss_dice: 0.9026, decode.d3.loss_cls: 0.4581, decode.d3.loss_mask: 0.5958, decode.d3.loss_dice: 0.8789, decode.d4.loss_cls: 0.4496, decode.d4.loss_mask: 0.5914, decode.d4.loss_dice: 0.8825, decode.d5.loss_cls: 0.4508, decode.d5.loss_mask: 0.5903, decode.d5.loss_dice: 0.8795, decode.d6.loss_cls: 0.4403, decode.d6.loss_mask: 0.5931, decode.d6.loss_dice: 0.8749, decode.d7.loss_cls: 0.4355, decode.d7.loss_mask: 0.5940, decode.d7.loss_dice: 0.8758, decode.d8.loss_cls: 0.4297, decode.d8.loss_mask: 0.5933, decode.d8.loss_dice: 0.8818, loss: 20.5054, grad_norm: 50.8155 2023-11-12 04:11:03,757 - mmseg - INFO - Iter [38300/160000] lr: 7.606e-05, eta: 17:15:04, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4351, decode.loss_mask: 0.6055, decode.loss_dice: 0.8677, decode.d0.loss_cls: 1.4342, decode.d0.loss_mask: 0.6428, decode.d0.loss_dice: 0.9690, decode.d1.loss_cls: 0.5285, decode.d1.loss_mask: 0.6257, decode.d1.loss_dice: 0.9202, decode.d2.loss_cls: 0.4773, decode.d2.loss_mask: 0.6133, decode.d2.loss_dice: 0.8936, decode.d3.loss_cls: 0.4620, decode.d3.loss_mask: 0.6053, decode.d3.loss_dice: 0.8746, decode.d4.loss_cls: 0.4557, decode.d4.loss_mask: 0.6062, decode.d4.loss_dice: 0.8684, decode.d5.loss_cls: 0.4459, decode.d5.loss_mask: 0.6061, decode.d5.loss_dice: 0.8696, decode.d6.loss_cls: 0.4458, decode.d6.loss_mask: 0.6053, decode.d6.loss_dice: 0.8659, decode.d7.loss_cls: 0.4400, decode.d7.loss_mask: 0.6051, decode.d7.loss_dice: 0.8681, decode.d8.loss_cls: 0.4392, decode.d8.loss_mask: 0.6044, decode.d8.loss_dice: 0.8689, loss: 20.5493, grad_norm: 44.6108 2023-11-12 04:11:27,835 - mmseg - INFO - Iter [38350/160000] lr: 7.603e-05, eta: 17:14:34, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4065, decode.loss_mask: 0.5906, decode.loss_dice: 0.8825, decode.d0.loss_cls: 1.4453, decode.d0.loss_mask: 0.6213, decode.d0.loss_dice: 0.9708, decode.d1.loss_cls: 0.5067, decode.d1.loss_mask: 0.6090, decode.d1.loss_dice: 0.9360, decode.d2.loss_cls: 0.4521, decode.d2.loss_mask: 0.5991, decode.d2.loss_dice: 0.9018, decode.d3.loss_cls: 0.4345, decode.d3.loss_mask: 0.5901, decode.d3.loss_dice: 0.8881, decode.d4.loss_cls: 0.4212, decode.d4.loss_mask: 0.5920, decode.d4.loss_dice: 0.8863, decode.d5.loss_cls: 0.4162, decode.d5.loss_mask: 0.5912, decode.d5.loss_dice: 0.8811, decode.d6.loss_cls: 0.4114, decode.d6.loss_mask: 0.5903, decode.d6.loss_dice: 0.8756, decode.d7.loss_cls: 0.4081, decode.d7.loss_mask: 0.5910, decode.d7.loss_dice: 0.8806, decode.d8.loss_cls: 0.4065, decode.d8.loss_mask: 0.5893, decode.d8.loss_dice: 0.8808, loss: 20.2555, grad_norm: 44.7042 2023-11-12 04:11:52,028 - mmseg - INFO - Iter [38400/160000] lr: 7.600e-05, eta: 17:14:04, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4099, decode.loss_mask: 0.5790, decode.loss_dice: 0.8566, decode.d0.loss_cls: 1.4209, decode.d0.loss_mask: 0.6123, decode.d0.loss_dice: 0.9339, decode.d1.loss_cls: 0.4949, decode.d1.loss_mask: 0.5995, decode.d1.loss_dice: 0.8969, decode.d2.loss_cls: 0.4454, decode.d2.loss_mask: 0.5858, decode.d2.loss_dice: 0.8741, decode.d3.loss_cls: 0.4235, decode.d3.loss_mask: 0.5818, decode.d3.loss_dice: 0.8624, decode.d4.loss_cls: 0.4137, decode.d4.loss_mask: 0.5826, decode.d4.loss_dice: 0.8637, decode.d5.loss_cls: 0.4170, decode.d5.loss_mask: 0.5806, decode.d5.loss_dice: 0.8627, decode.d6.loss_cls: 0.4141, decode.d6.loss_mask: 0.5765, decode.d6.loss_dice: 0.8553, decode.d7.loss_cls: 0.4105, decode.d7.loss_mask: 0.5785, decode.d7.loss_dice: 0.8591, decode.d8.loss_cls: 0.4088, decode.d8.loss_mask: 0.5796, decode.d8.loss_dice: 0.8532, loss: 19.8326, grad_norm: 48.2815 2023-11-12 04:12:16,870 - mmseg - INFO - Iter [38450/160000] lr: 7.597e-05, eta: 17:13:36, time: 0.497, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4257, decode.loss_mask: 0.6052, decode.loss_dice: 0.8865, decode.d0.loss_cls: 1.4322, decode.d0.loss_mask: 0.6384, decode.d0.loss_dice: 0.9674, decode.d1.loss_cls: 0.5105, decode.d1.loss_mask: 0.6247, decode.d1.loss_dice: 0.9383, decode.d2.loss_cls: 0.4579, decode.d2.loss_mask: 0.6136, decode.d2.loss_dice: 0.9069, decode.d3.loss_cls: 0.4491, decode.d3.loss_mask: 0.6049, decode.d3.loss_dice: 0.8888, decode.d4.loss_cls: 0.4346, decode.d4.loss_mask: 0.6059, decode.d4.loss_dice: 0.8949, decode.d5.loss_cls: 0.4376, decode.d5.loss_mask: 0.6067, decode.d5.loss_dice: 0.8905, decode.d6.loss_cls: 0.4322, decode.d6.loss_mask: 0.6099, decode.d6.loss_dice: 0.8841, decode.d7.loss_cls: 0.4259, decode.d7.loss_mask: 0.6077, decode.d7.loss_dice: 0.8834, decode.d8.loss_cls: 0.4239, decode.d8.loss_mask: 0.6073, decode.d8.loss_dice: 0.8846, loss: 20.5791, grad_norm: 46.7950 2023-11-12 04:12:40,861 - mmseg - INFO - Iter [38500/160000] lr: 7.594e-05, eta: 17:13:06, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4221, decode.loss_mask: 0.5844, decode.loss_dice: 0.8661, decode.d0.loss_cls: 1.4087, decode.d0.loss_mask: 0.6219, decode.d0.loss_dice: 0.9597, decode.d1.loss_cls: 0.5257, decode.d1.loss_mask: 0.6015, decode.d1.loss_dice: 0.9281, decode.d2.loss_cls: 0.4648, decode.d2.loss_mask: 0.5961, decode.d2.loss_dice: 0.8974, decode.d3.loss_cls: 0.4409, decode.d3.loss_mask: 0.5888, decode.d3.loss_dice: 0.8802, decode.d4.loss_cls: 0.4362, decode.d4.loss_mask: 0.5866, decode.d4.loss_dice: 0.8741, decode.d5.loss_cls: 0.4270, decode.d5.loss_mask: 0.5861, decode.d5.loss_dice: 0.8772, decode.d6.loss_cls: 0.4260, decode.d6.loss_mask: 0.5843, decode.d6.loss_dice: 0.8694, decode.d7.loss_cls: 0.4200, decode.d7.loss_mask: 0.5860, decode.d7.loss_dice: 0.8677, decode.d8.loss_cls: 0.4159, decode.d8.loss_mask: 0.5838, decode.d8.loss_dice: 0.8770, loss: 20.2041, grad_norm: 44.0477 2023-11-12 04:13:04,908 - mmseg - INFO - Iter [38550/160000] lr: 7.591e-05, eta: 17:12:36, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4168, decode.loss_mask: 0.5923, decode.loss_dice: 0.8732, decode.d0.loss_cls: 1.4224, decode.d0.loss_mask: 0.6308, decode.d0.loss_dice: 0.9696, decode.d1.loss_cls: 0.4990, decode.d1.loss_mask: 0.6204, decode.d1.loss_dice: 0.9322, decode.d2.loss_cls: 0.4571, decode.d2.loss_mask: 0.6034, decode.d2.loss_dice: 0.9047, decode.d3.loss_cls: 0.4328, decode.d3.loss_mask: 0.6008, decode.d3.loss_dice: 0.8891, decode.d4.loss_cls: 0.4224, decode.d4.loss_mask: 0.5986, decode.d4.loss_dice: 0.8856, decode.d5.loss_cls: 0.4231, decode.d5.loss_mask: 0.5973, decode.d5.loss_dice: 0.8848, decode.d6.loss_cls: 0.4194, decode.d6.loss_mask: 0.5951, decode.d6.loss_dice: 0.8740, decode.d7.loss_cls: 0.4156, decode.d7.loss_mask: 0.5951, decode.d7.loss_dice: 0.8780, decode.d8.loss_cls: 0.4109, decode.d8.loss_mask: 0.5943, decode.d8.loss_dice: 0.8808, loss: 20.3196, grad_norm: 45.4028 2023-11-12 04:13:29,039 - mmseg - INFO - Iter [38600/160000] lr: 7.588e-05, eta: 17:12:06, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4186, decode.loss_mask: 0.5866, decode.loss_dice: 0.8594, decode.d0.loss_cls: 1.4118, decode.d0.loss_mask: 0.6236, decode.d0.loss_dice: 0.9592, decode.d1.loss_cls: 0.5234, decode.d1.loss_mask: 0.6126, decode.d1.loss_dice: 0.9110, decode.d2.loss_cls: 0.4608, decode.d2.loss_mask: 0.5938, decode.d2.loss_dice: 0.8797, decode.d3.loss_cls: 0.4352, decode.d3.loss_mask: 0.5887, decode.d3.loss_dice: 0.8615, decode.d4.loss_cls: 0.4292, decode.d4.loss_mask: 0.5890, decode.d4.loss_dice: 0.8633, decode.d5.loss_cls: 0.4297, decode.d5.loss_mask: 0.5893, decode.d5.loss_dice: 0.8593, decode.d6.loss_cls: 0.4224, decode.d6.loss_mask: 0.5855, decode.d6.loss_dice: 0.8538, decode.d7.loss_cls: 0.4219, decode.d7.loss_mask: 0.5879, decode.d7.loss_dice: 0.8553, decode.d8.loss_cls: 0.4149, decode.d8.loss_mask: 0.5867, decode.d8.loss_dice: 0.8597, loss: 20.0740, grad_norm: 45.8271 2023-11-12 04:13:52,962 - mmseg - INFO - Iter [38650/160000] lr: 7.584e-05, eta: 17:11:36, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3920, decode.loss_mask: 0.5698, decode.loss_dice: 0.8447, decode.d0.loss_cls: 1.3593, decode.d0.loss_mask: 0.6076, decode.d0.loss_dice: 0.9373, decode.d1.loss_cls: 0.4861, decode.d1.loss_mask: 0.5899, decode.d1.loss_dice: 0.9002, decode.d2.loss_cls: 0.4358, decode.d2.loss_mask: 0.5767, decode.d2.loss_dice: 0.8623, decode.d3.loss_cls: 0.4097, decode.d3.loss_mask: 0.5721, decode.d3.loss_dice: 0.8549, decode.d4.loss_cls: 0.4012, decode.d4.loss_mask: 0.5726, decode.d4.loss_dice: 0.8568, decode.d5.loss_cls: 0.3959, decode.d5.loss_mask: 0.5735, decode.d5.loss_dice: 0.8538, decode.d6.loss_cls: 0.3954, decode.d6.loss_mask: 0.5723, decode.d6.loss_dice: 0.8431, decode.d7.loss_cls: 0.3880, decode.d7.loss_mask: 0.5712, decode.d7.loss_dice: 0.8433, decode.d8.loss_cls: 0.3895, decode.d8.loss_mask: 0.5720, decode.d8.loss_dice: 0.8409, loss: 19.4679, grad_norm: 45.4187 2023-11-12 04:14:16,957 - mmseg - INFO - Iter [38700/160000] lr: 7.581e-05, eta: 17:11:05, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4014, decode.loss_mask: 0.5821, decode.loss_dice: 0.8557, decode.d0.loss_cls: 1.4204, decode.d0.loss_mask: 0.6180, decode.d0.loss_dice: 0.9465, decode.d1.loss_cls: 0.4983, decode.d1.loss_mask: 0.5985, decode.d1.loss_dice: 0.9185, decode.d2.loss_cls: 0.4434, decode.d2.loss_mask: 0.5909, decode.d2.loss_dice: 0.8789, decode.d3.loss_cls: 0.4231, decode.d3.loss_mask: 0.5855, decode.d3.loss_dice: 0.8618, decode.d4.loss_cls: 0.4123, decode.d4.loss_mask: 0.5868, decode.d4.loss_dice: 0.8594, decode.d5.loss_cls: 0.4070, decode.d5.loss_mask: 0.5854, decode.d5.loss_dice: 0.8648, decode.d6.loss_cls: 0.4060, decode.d6.loss_mask: 0.5824, decode.d6.loss_dice: 0.8573, decode.d7.loss_cls: 0.4043, decode.d7.loss_mask: 0.5831, decode.d7.loss_dice: 0.8611, decode.d8.loss_cls: 0.4016, decode.d8.loss_mask: 0.5818, decode.d8.loss_dice: 0.8605, loss: 19.8767, grad_norm: 45.7618 2023-11-12 04:14:41,076 - mmseg - INFO - Iter [38750/160000] lr: 7.578e-05, eta: 17:10:36, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4273, decode.loss_mask: 0.5739, decode.loss_dice: 0.8445, decode.d0.loss_cls: 1.4229, decode.d0.loss_mask: 0.6175, decode.d0.loss_dice: 0.9420, decode.d1.loss_cls: 0.5196, decode.d1.loss_mask: 0.6037, decode.d1.loss_dice: 0.9009, decode.d2.loss_cls: 0.4763, decode.d2.loss_mask: 0.5886, decode.d2.loss_dice: 0.8694, decode.d3.loss_cls: 0.4456, decode.d3.loss_mask: 0.5806, decode.d3.loss_dice: 0.8613, decode.d4.loss_cls: 0.4431, decode.d4.loss_mask: 0.5758, decode.d4.loss_dice: 0.8546, decode.d5.loss_cls: 0.4389, decode.d5.loss_mask: 0.5757, decode.d5.loss_dice: 0.8494, decode.d6.loss_cls: 0.4300, decode.d6.loss_mask: 0.5728, decode.d6.loss_dice: 0.8385, decode.d7.loss_cls: 0.4348, decode.d7.loss_mask: 0.5731, decode.d7.loss_dice: 0.8437, decode.d8.loss_cls: 0.4272, decode.d8.loss_mask: 0.5749, decode.d8.loss_dice: 0.8488, loss: 19.9554, grad_norm: 51.5945 2023-11-12 04:15:05,030 - mmseg - INFO - Iter [38800/160000] lr: 7.575e-05, eta: 17:10:05, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4072, decode.loss_mask: 0.6085, decode.loss_dice: 0.8439, decode.d0.loss_cls: 1.3923, decode.d0.loss_mask: 0.6405, decode.d0.loss_dice: 0.9315, decode.d1.loss_cls: 0.4817, decode.d1.loss_mask: 0.6265, decode.d1.loss_dice: 0.8972, decode.d2.loss_cls: 0.4409, decode.d2.loss_mask: 0.6107, decode.d2.loss_dice: 0.8631, decode.d3.loss_cls: 0.4238, decode.d3.loss_mask: 0.6113, decode.d3.loss_dice: 0.8551, decode.d4.loss_cls: 0.4171, decode.d4.loss_mask: 0.6097, decode.d4.loss_dice: 0.8521, decode.d5.loss_cls: 0.4098, decode.d5.loss_mask: 0.6084, decode.d5.loss_dice: 0.8514, decode.d6.loss_cls: 0.4071, decode.d6.loss_mask: 0.6043, decode.d6.loss_dice: 0.8448, decode.d7.loss_cls: 0.4031, decode.d7.loss_mask: 0.6060, decode.d7.loss_dice: 0.8486, decode.d8.loss_cls: 0.4058, decode.d8.loss_mask: 0.6059, decode.d8.loss_dice: 0.8464, loss: 19.9548, grad_norm: 48.5188 2023-11-12 04:15:29,395 - mmseg - INFO - Iter [38850/160000] lr: 7.572e-05, eta: 17:09:36, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4366, decode.loss_mask: 0.5912, decode.loss_dice: 0.8621, decode.d0.loss_cls: 1.4868, decode.d0.loss_mask: 0.6323, decode.d0.loss_dice: 0.9581, decode.d1.loss_cls: 0.5319, decode.d1.loss_mask: 0.6205, decode.d1.loss_dice: 0.9204, decode.d2.loss_cls: 0.4907, decode.d2.loss_mask: 0.6003, decode.d2.loss_dice: 0.8783, decode.d3.loss_cls: 0.4644, decode.d3.loss_mask: 0.5941, decode.d3.loss_dice: 0.8687, decode.d4.loss_cls: 0.4580, decode.d4.loss_mask: 0.5930, decode.d4.loss_dice: 0.8644, decode.d5.loss_cls: 0.4495, decode.d5.loss_mask: 0.5906, decode.d5.loss_dice: 0.8669, decode.d6.loss_cls: 0.4464, decode.d6.loss_mask: 0.5900, decode.d6.loss_dice: 0.8621, decode.d7.loss_cls: 0.4418, decode.d7.loss_mask: 0.5925, decode.d7.loss_dice: 0.8640, decode.d8.loss_cls: 0.4366, decode.d8.loss_mask: 0.5933, decode.d8.loss_dice: 0.8660, loss: 20.4515, grad_norm: 45.9534 2023-11-12 04:15:53,409 - mmseg - INFO - Iter [38900/160000] lr: 7.569e-05, eta: 17:09:06, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4224, decode.loss_mask: 0.5789, decode.loss_dice: 0.8641, decode.d0.loss_cls: 1.4189, decode.d0.loss_mask: 0.6104, decode.d0.loss_dice: 0.9520, decode.d1.loss_cls: 0.5106, decode.d1.loss_mask: 0.5998, decode.d1.loss_dice: 0.9116, decode.d2.loss_cls: 0.4644, decode.d2.loss_mask: 0.5887, decode.d2.loss_dice: 0.8905, decode.d3.loss_cls: 0.4347, decode.d3.loss_mask: 0.5798, decode.d3.loss_dice: 0.8707, decode.d4.loss_cls: 0.4366, decode.d4.loss_mask: 0.5793, decode.d4.loss_dice: 0.8596, decode.d5.loss_cls: 0.4349, decode.d5.loss_mask: 0.5777, decode.d5.loss_dice: 0.8611, decode.d6.loss_cls: 0.4305, decode.d6.loss_mask: 0.5759, decode.d6.loss_dice: 0.8548, decode.d7.loss_cls: 0.4259, decode.d7.loss_mask: 0.5769, decode.d7.loss_dice: 0.8604, decode.d8.loss_cls: 0.4239, decode.d8.loss_mask: 0.5791, decode.d8.loss_dice: 0.8638, loss: 20.0378, grad_norm: 45.6609 2023-11-12 04:16:17,354 - mmseg - INFO - Iter [38950/160000] lr: 7.566e-05, eta: 17:08:36, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3891, decode.loss_mask: 0.6229, decode.loss_dice: 0.8565, decode.d0.loss_cls: 1.3823, decode.d0.loss_mask: 0.6538, decode.d0.loss_dice: 0.9398, decode.d1.loss_cls: 0.4696, decode.d1.loss_mask: 0.6462, decode.d1.loss_dice: 0.9058, decode.d2.loss_cls: 0.4238, decode.d2.loss_mask: 0.6314, decode.d2.loss_dice: 0.8804, decode.d3.loss_cls: 0.4022, decode.d3.loss_mask: 0.6267, decode.d3.loss_dice: 0.8648, decode.d4.loss_cls: 0.3991, decode.d4.loss_mask: 0.6258, decode.d4.loss_dice: 0.8674, decode.d5.loss_cls: 0.3961, decode.d5.loss_mask: 0.6278, decode.d5.loss_dice: 0.8619, decode.d6.loss_cls: 0.3938, decode.d6.loss_mask: 0.6230, decode.d6.loss_dice: 0.8522, decode.d7.loss_cls: 0.3895, decode.d7.loss_mask: 0.6245, decode.d7.loss_dice: 0.8595, decode.d8.loss_cls: 0.3934, decode.d8.loss_mask: 0.6202, decode.d8.loss_dice: 0.8594, loss: 20.0892, grad_norm: 50.4599 2023-11-12 04:16:41,232 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 04:16:41,232 - mmseg - INFO - Iter [39000/160000] lr: 7.563e-05, eta: 17:08:05, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4099, decode.loss_mask: 0.5934, decode.loss_dice: 0.8734, decode.d0.loss_cls: 1.4510, decode.d0.loss_mask: 0.6290, decode.d0.loss_dice: 0.9605, decode.d1.loss_cls: 0.5086, decode.d1.loss_mask: 0.6159, decode.d1.loss_dice: 0.9371, decode.d2.loss_cls: 0.4569, decode.d2.loss_mask: 0.6054, decode.d2.loss_dice: 0.9021, decode.d3.loss_cls: 0.4372, decode.d3.loss_mask: 0.5999, decode.d3.loss_dice: 0.8838, decode.d4.loss_cls: 0.4306, decode.d4.loss_mask: 0.5972, decode.d4.loss_dice: 0.8844, decode.d5.loss_cls: 0.4215, decode.d5.loss_mask: 0.5990, decode.d5.loss_dice: 0.8849, decode.d6.loss_cls: 0.4183, decode.d6.loss_mask: 0.5943, decode.d6.loss_dice: 0.8768, decode.d7.loss_cls: 0.4166, decode.d7.loss_mask: 0.5953, decode.d7.loss_dice: 0.8755, decode.d8.loss_cls: 0.4131, decode.d8.loss_mask: 0.5941, decode.d8.loss_dice: 0.8733, loss: 20.3391, grad_norm: 47.8652 2023-11-12 04:17:05,082 - mmseg - INFO - Iter [39050/160000] lr: 7.559e-05, eta: 17:07:35, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4118, decode.loss_mask: 0.5986, decode.loss_dice: 0.8747, decode.d0.loss_cls: 1.4191, decode.d0.loss_mask: 0.6268, decode.d0.loss_dice: 0.9711, decode.d1.loss_cls: 0.5054, decode.d1.loss_mask: 0.6208, decode.d1.loss_dice: 0.9343, decode.d2.loss_cls: 0.4456, decode.d2.loss_mask: 0.6102, decode.d2.loss_dice: 0.9033, decode.d3.loss_cls: 0.4270, decode.d3.loss_mask: 0.6062, decode.d3.loss_dice: 0.8848, decode.d4.loss_cls: 0.4178, decode.d4.loss_mask: 0.6029, decode.d4.loss_dice: 0.8867, decode.d5.loss_cls: 0.4195, decode.d5.loss_mask: 0.6044, decode.d5.loss_dice: 0.8852, decode.d6.loss_cls: 0.4115, decode.d6.loss_mask: 0.6018, decode.d6.loss_dice: 0.8761, decode.d7.loss_cls: 0.4070, decode.d7.loss_mask: 0.5989, decode.d7.loss_dice: 0.8801, decode.d8.loss_cls: 0.4093, decode.d8.loss_mask: 0.6024, decode.d8.loss_dice: 0.8728, loss: 20.3162, grad_norm: 51.6452 2023-11-12 04:17:29,098 - mmseg - INFO - Iter [39100/160000] lr: 7.556e-05, eta: 17:07:05, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3993, decode.loss_mask: 0.6172, decode.loss_dice: 0.8770, decode.d0.loss_cls: 1.4142, decode.d0.loss_mask: 0.6494, decode.d0.loss_dice: 0.9581, decode.d1.loss_cls: 0.4971, decode.d1.loss_mask: 0.6347, decode.d1.loss_dice: 0.9267, decode.d2.loss_cls: 0.4424, decode.d2.loss_mask: 0.6217, decode.d2.loss_dice: 0.8991, decode.d3.loss_cls: 0.4184, decode.d3.loss_mask: 0.6135, decode.d3.loss_dice: 0.8885, decode.d4.loss_cls: 0.4149, decode.d4.loss_mask: 0.6137, decode.d4.loss_dice: 0.8896, decode.d5.loss_cls: 0.4058, decode.d5.loss_mask: 0.6159, decode.d5.loss_dice: 0.8825, decode.d6.loss_cls: 0.4058, decode.d6.loss_mask: 0.6143, decode.d6.loss_dice: 0.8721, decode.d7.loss_cls: 0.4041, decode.d7.loss_mask: 0.6123, decode.d7.loss_dice: 0.8727, decode.d8.loss_cls: 0.3997, decode.d8.loss_mask: 0.6145, decode.d8.loss_dice: 0.8741, loss: 20.3492, grad_norm: 45.5382 2023-11-12 04:17:53,197 - mmseg - INFO - Iter [39150/160000] lr: 7.553e-05, eta: 17:06:35, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4308, decode.loss_mask: 0.5931, decode.loss_dice: 0.8800, decode.d0.loss_cls: 1.4453, decode.d0.loss_mask: 0.6377, decode.d0.loss_dice: 0.9893, decode.d1.loss_cls: 0.5269, decode.d1.loss_mask: 0.6179, decode.d1.loss_dice: 0.9397, decode.d2.loss_cls: 0.4786, decode.d2.loss_mask: 0.6019, decode.d2.loss_dice: 0.9109, decode.d3.loss_cls: 0.4610, decode.d3.loss_mask: 0.5941, decode.d3.loss_dice: 0.8895, decode.d4.loss_cls: 0.4519, decode.d4.loss_mask: 0.5940, decode.d4.loss_dice: 0.8890, decode.d5.loss_cls: 0.4503, decode.d5.loss_mask: 0.5941, decode.d5.loss_dice: 0.8908, decode.d6.loss_cls: 0.4421, decode.d6.loss_mask: 0.5902, decode.d6.loss_dice: 0.8796, decode.d7.loss_cls: 0.4390, decode.d7.loss_mask: 0.5908, decode.d7.loss_dice: 0.8858, decode.d8.loss_cls: 0.4394, decode.d8.loss_mask: 0.5916, decode.d8.loss_dice: 0.8773, loss: 20.6027, grad_norm: 45.4431 2023-11-12 04:18:19,638 - mmseg - INFO - Iter [39200/160000] lr: 7.550e-05, eta: 17:06:12, time: 0.529, data_time: 0.059, memory: 41146, decode.loss_cls: 0.4145, decode.loss_mask: 0.6042, decode.loss_dice: 0.8565, decode.d0.loss_cls: 1.4289, decode.d0.loss_mask: 0.6433, decode.d0.loss_dice: 0.9498, decode.d1.loss_cls: 0.5005, decode.d1.loss_mask: 0.6287, decode.d1.loss_dice: 0.9169, decode.d2.loss_cls: 0.4475, decode.d2.loss_mask: 0.6132, decode.d2.loss_dice: 0.8803, decode.d3.loss_cls: 0.4315, decode.d3.loss_mask: 0.6067, decode.d3.loss_dice: 0.8651, decode.d4.loss_cls: 0.4264, decode.d4.loss_mask: 0.6048, decode.d4.loss_dice: 0.8637, decode.d5.loss_cls: 0.4159, decode.d5.loss_mask: 0.6050, decode.d5.loss_dice: 0.8621, decode.d6.loss_cls: 0.4164, decode.d6.loss_mask: 0.6011, decode.d6.loss_dice: 0.8524, decode.d7.loss_cls: 0.4180, decode.d7.loss_mask: 0.6007, decode.d7.loss_dice: 0.8517, decode.d8.loss_cls: 0.4157, decode.d8.loss_mask: 0.6022, decode.d8.loss_dice: 0.8531, loss: 20.1766, grad_norm: 47.4603 2023-11-12 04:18:44,080 - mmseg - INFO - Iter [39250/160000] lr: 7.547e-05, eta: 17:05:44, time: 0.489, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3808, decode.loss_mask: 0.5653, decode.loss_dice: 0.8458, decode.d0.loss_cls: 1.4466, decode.d0.loss_mask: 0.5963, decode.d0.loss_dice: 0.9320, decode.d1.loss_cls: 0.4833, decode.d1.loss_mask: 0.5826, decode.d1.loss_dice: 0.8968, decode.d2.loss_cls: 0.4302, decode.d2.loss_mask: 0.5747, decode.d2.loss_dice: 0.8717, decode.d3.loss_cls: 0.4076, decode.d3.loss_mask: 0.5681, decode.d3.loss_dice: 0.8581, decode.d4.loss_cls: 0.3983, decode.d4.loss_mask: 0.5670, decode.d4.loss_dice: 0.8551, decode.d5.loss_cls: 0.3945, decode.d5.loss_mask: 0.5670, decode.d5.loss_dice: 0.8521, decode.d6.loss_cls: 0.3908, decode.d6.loss_mask: 0.5668, decode.d6.loss_dice: 0.8453, decode.d7.loss_cls: 0.3866, decode.d7.loss_mask: 0.5659, decode.d7.loss_dice: 0.8417, decode.d8.loss_cls: 0.3760, decode.d8.loss_mask: 0.5683, decode.d8.loss_dice: 0.8486, loss: 19.4642, grad_norm: 50.9646 2023-11-12 04:19:08,298 - mmseg - INFO - Iter [39300/160000] lr: 7.544e-05, eta: 17:05:14, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4139, decode.loss_mask: 0.5965, decode.loss_dice: 0.8896, decode.d0.loss_cls: 1.4111, decode.d0.loss_mask: 0.6345, decode.d0.loss_dice: 0.9912, decode.d1.loss_cls: 0.5061, decode.d1.loss_mask: 0.6199, decode.d1.loss_dice: 0.9472, decode.d2.loss_cls: 0.4558, decode.d2.loss_mask: 0.6070, decode.d2.loss_dice: 0.9192, decode.d3.loss_cls: 0.4319, decode.d3.loss_mask: 0.5999, decode.d3.loss_dice: 0.8964, decode.d4.loss_cls: 0.4233, decode.d4.loss_mask: 0.6012, decode.d4.loss_dice: 0.9016, decode.d5.loss_cls: 0.4197, decode.d5.loss_mask: 0.6062, decode.d5.loss_dice: 0.8990, decode.d6.loss_cls: 0.4210, decode.d6.loss_mask: 0.5994, decode.d6.loss_dice: 0.8905, decode.d7.loss_cls: 0.4109, decode.d7.loss_mask: 0.6009, decode.d7.loss_dice: 0.8925, decode.d8.loss_cls: 0.4080, decode.d8.loss_mask: 0.5982, decode.d8.loss_dice: 0.8926, loss: 20.4852, grad_norm: 45.2529 2023-11-12 04:19:33,236 - mmseg - INFO - Iter [39350/160000] lr: 7.541e-05, eta: 17:04:47, time: 0.499, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4109, decode.loss_mask: 0.5857, decode.loss_dice: 0.8543, decode.d0.loss_cls: 1.4368, decode.d0.loss_mask: 0.6266, decode.d0.loss_dice: 0.9353, decode.d1.loss_cls: 0.5065, decode.d1.loss_mask: 0.6050, decode.d1.loss_dice: 0.9040, decode.d2.loss_cls: 0.4509, decode.d2.loss_mask: 0.5961, decode.d2.loss_dice: 0.8791, decode.d3.loss_cls: 0.4320, decode.d3.loss_mask: 0.5866, decode.d3.loss_dice: 0.8609, decode.d4.loss_cls: 0.4193, decode.d4.loss_mask: 0.5903, decode.d4.loss_dice: 0.8620, decode.d5.loss_cls: 0.4163, decode.d5.loss_mask: 0.5864, decode.d5.loss_dice: 0.8554, decode.d6.loss_cls: 0.4205, decode.d6.loss_mask: 0.5833, decode.d6.loss_dice: 0.8507, decode.d7.loss_cls: 0.4154, decode.d7.loss_mask: 0.5833, decode.d7.loss_dice: 0.8538, decode.d8.loss_cls: 0.4168, decode.d8.loss_mask: 0.5833, decode.d8.loss_dice: 0.8535, loss: 19.9609, grad_norm: 48.0275 2023-11-12 04:19:57,307 - mmseg - INFO - Iter [39400/160000] lr: 7.538e-05, eta: 17:04:17, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4027, decode.loss_mask: 0.5435, decode.loss_dice: 0.8314, decode.d0.loss_cls: 1.4347, decode.d0.loss_mask: 0.5834, decode.d0.loss_dice: 0.9157, decode.d1.loss_cls: 0.5003, decode.d1.loss_mask: 0.5640, decode.d1.loss_dice: 0.8801, decode.d2.loss_cls: 0.4524, decode.d2.loss_mask: 0.5531, decode.d2.loss_dice: 0.8554, decode.d3.loss_cls: 0.4299, decode.d3.loss_mask: 0.5471, decode.d3.loss_dice: 0.8375, decode.d4.loss_cls: 0.4179, decode.d4.loss_mask: 0.5452, decode.d4.loss_dice: 0.8381, decode.d5.loss_cls: 0.4136, decode.d5.loss_mask: 0.5463, decode.d5.loss_dice: 0.8389, decode.d6.loss_cls: 0.4075, decode.d6.loss_mask: 0.5443, decode.d6.loss_dice: 0.8328, decode.d7.loss_cls: 0.4043, decode.d7.loss_mask: 0.5448, decode.d7.loss_dice: 0.8346, decode.d8.loss_cls: 0.4031, decode.d8.loss_mask: 0.5425, decode.d8.loss_dice: 0.8344, loss: 19.2797, grad_norm: 43.0116 2023-11-12 04:20:21,355 - mmseg - INFO - Iter [39450/160000] lr: 7.534e-05, eta: 17:03:48, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4049, decode.loss_mask: 0.5809, decode.loss_dice: 0.8583, decode.d0.loss_cls: 1.4243, decode.d0.loss_mask: 0.6157, decode.d0.loss_dice: 0.9575, decode.d1.loss_cls: 0.5054, decode.d1.loss_mask: 0.6052, decode.d1.loss_dice: 0.9122, decode.d2.loss_cls: 0.4353, decode.d2.loss_mask: 0.5990, decode.d2.loss_dice: 0.8820, decode.d3.loss_cls: 0.4137, decode.d3.loss_mask: 0.5900, decode.d3.loss_dice: 0.8717, decode.d4.loss_cls: 0.4149, decode.d4.loss_mask: 0.5855, decode.d4.loss_dice: 0.8603, decode.d5.loss_cls: 0.4061, decode.d5.loss_mask: 0.5860, decode.d5.loss_dice: 0.8635, decode.d6.loss_cls: 0.4031, decode.d6.loss_mask: 0.5841, decode.d6.loss_dice: 0.8599, decode.d7.loss_cls: 0.4015, decode.d7.loss_mask: 0.5848, decode.d7.loss_dice: 0.8663, decode.d8.loss_cls: 0.4066, decode.d8.loss_mask: 0.5811, decode.d8.loss_dice: 0.8611, loss: 19.9207, grad_norm: 46.7774 2023-11-12 04:20:45,423 - mmseg - INFO - Iter [39500/160000] lr: 7.531e-05, eta: 17:03:18, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3938, decode.loss_mask: 0.5912, decode.loss_dice: 0.8535, decode.d0.loss_cls: 1.3718, decode.d0.loss_mask: 0.6285, decode.d0.loss_dice: 0.9354, decode.d1.loss_cls: 0.4868, decode.d1.loss_mask: 0.6148, decode.d1.loss_dice: 0.8993, decode.d2.loss_cls: 0.4413, decode.d2.loss_mask: 0.5994, decode.d2.loss_dice: 0.8734, decode.d3.loss_cls: 0.4169, decode.d3.loss_mask: 0.5931, decode.d3.loss_dice: 0.8628, decode.d4.loss_cls: 0.4089, decode.d4.loss_mask: 0.5938, decode.d4.loss_dice: 0.8639, decode.d5.loss_cls: 0.3985, decode.d5.loss_mask: 0.5938, decode.d5.loss_dice: 0.8599, decode.d6.loss_cls: 0.3998, decode.d6.loss_mask: 0.5932, decode.d6.loss_dice: 0.8570, decode.d7.loss_cls: 0.4024, decode.d7.loss_mask: 0.5922, decode.d7.loss_dice: 0.8596, decode.d8.loss_cls: 0.3971, decode.d8.loss_mask: 0.5918, decode.d8.loss_dice: 0.8564, loss: 19.8301, grad_norm: 46.7479 2023-11-12 04:21:09,606 - mmseg - INFO - Iter [39550/160000] lr: 7.528e-05, eta: 17:02:48, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4142, decode.loss_mask: 0.6062, decode.loss_dice: 0.8754, decode.d0.loss_cls: 1.4271, decode.d0.loss_mask: 0.6369, decode.d0.loss_dice: 0.9628, decode.d1.loss_cls: 0.4980, decode.d1.loss_mask: 0.6238, decode.d1.loss_dice: 0.9268, decode.d2.loss_cls: 0.4486, decode.d2.loss_mask: 0.6158, decode.d2.loss_dice: 0.9055, decode.d3.loss_cls: 0.4343, decode.d3.loss_mask: 0.6058, decode.d3.loss_dice: 0.8772, decode.d4.loss_cls: 0.4185, decode.d4.loss_mask: 0.6106, decode.d4.loss_dice: 0.8815, decode.d5.loss_cls: 0.4137, decode.d5.loss_mask: 0.6061, decode.d5.loss_dice: 0.8803, decode.d6.loss_cls: 0.4171, decode.d6.loss_mask: 0.6027, decode.d6.loss_dice: 0.8700, decode.d7.loss_cls: 0.4154, decode.d7.loss_mask: 0.6053, decode.d7.loss_dice: 0.8683, decode.d8.loss_cls: 0.4119, decode.d8.loss_mask: 0.6046, decode.d8.loss_dice: 0.8738, loss: 20.3385, grad_norm: 44.6318 2023-11-12 04:21:33,721 - mmseg - INFO - Iter [39600/160000] lr: 7.525e-05, eta: 17:02:19, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4003, decode.loss_mask: 0.6095, decode.loss_dice: 0.8774, decode.d0.loss_cls: 1.3841, decode.d0.loss_mask: 0.6382, decode.d0.loss_dice: 0.9701, decode.d1.loss_cls: 0.5055, decode.d1.loss_mask: 0.6246, decode.d1.loss_dice: 0.9309, decode.d2.loss_cls: 0.4399, decode.d2.loss_mask: 0.6118, decode.d2.loss_dice: 0.9062, decode.d3.loss_cls: 0.4196, decode.d3.loss_mask: 0.6101, decode.d3.loss_dice: 0.8869, decode.d4.loss_cls: 0.4158, decode.d4.loss_mask: 0.6055, decode.d4.loss_dice: 0.8827, decode.d5.loss_cls: 0.4116, decode.d5.loss_mask: 0.6105, decode.d5.loss_dice: 0.8816, decode.d6.loss_cls: 0.4059, decode.d6.loss_mask: 0.6078, decode.d6.loss_dice: 0.8741, decode.d7.loss_cls: 0.4078, decode.d7.loss_mask: 0.6041, decode.d7.loss_dice: 0.8776, decode.d8.loss_cls: 0.4071, decode.d8.loss_mask: 0.6059, decode.d8.loss_dice: 0.8771, loss: 20.2901, grad_norm: 47.6537 2023-11-12 04:21:57,933 - mmseg - INFO - Iter [39650/160000] lr: 7.522e-05, eta: 17:01:49, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3810, decode.loss_mask: 0.6016, decode.loss_dice: 0.8501, decode.d0.loss_cls: 1.3638, decode.d0.loss_mask: 0.6371, decode.d0.loss_dice: 0.9357, decode.d1.loss_cls: 0.4747, decode.d1.loss_mask: 0.6192, decode.d1.loss_dice: 0.9021, decode.d2.loss_cls: 0.4297, decode.d2.loss_mask: 0.6094, decode.d2.loss_dice: 0.8797, decode.d3.loss_cls: 0.4075, decode.d3.loss_mask: 0.6031, decode.d3.loss_dice: 0.8622, decode.d4.loss_cls: 0.4037, decode.d4.loss_mask: 0.6053, decode.d4.loss_dice: 0.8539, decode.d5.loss_cls: 0.3977, decode.d5.loss_mask: 0.6029, decode.d5.loss_dice: 0.8530, decode.d6.loss_cls: 0.3928, decode.d6.loss_mask: 0.6020, decode.d6.loss_dice: 0.8499, decode.d7.loss_cls: 0.3870, decode.d7.loss_mask: 0.6008, decode.d7.loss_dice: 0.8506, decode.d8.loss_cls: 0.3851, decode.d8.loss_mask: 0.6041, decode.d8.loss_dice: 0.8520, loss: 19.7975, grad_norm: 48.3424 2023-11-12 04:22:21,861 - mmseg - INFO - Iter [39700/160000] lr: 7.519e-05, eta: 17:01:19, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3885, decode.loss_mask: 0.5753, decode.loss_dice: 0.8732, decode.d0.loss_cls: 1.4052, decode.d0.loss_mask: 0.6163, decode.d0.loss_dice: 0.9600, decode.d1.loss_cls: 0.4830, decode.d1.loss_mask: 0.5934, decode.d1.loss_dice: 0.9242, decode.d2.loss_cls: 0.4356, decode.d2.loss_mask: 0.5859, decode.d2.loss_dice: 0.8954, decode.d3.loss_cls: 0.4118, decode.d3.loss_mask: 0.5789, decode.d3.loss_dice: 0.8854, decode.d4.loss_cls: 0.4068, decode.d4.loss_mask: 0.5784, decode.d4.loss_dice: 0.8833, decode.d5.loss_cls: 0.3987, decode.d5.loss_mask: 0.5759, decode.d5.loss_dice: 0.8840, decode.d6.loss_cls: 0.4002, decode.d6.loss_mask: 0.5757, decode.d6.loss_dice: 0.8719, decode.d7.loss_cls: 0.3855, decode.d7.loss_mask: 0.5747, decode.d7.loss_dice: 0.8807, decode.d8.loss_cls: 0.3832, decode.d8.loss_mask: 0.5736, decode.d8.loss_dice: 0.8781, loss: 19.8631, grad_norm: 46.9957 2023-11-12 04:22:45,726 - mmseg - INFO - Iter [39750/160000] lr: 7.516e-05, eta: 17:00:49, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3936, decode.loss_mask: 0.5915, decode.loss_dice: 0.8600, decode.d0.loss_cls: 1.4123, decode.d0.loss_mask: 0.6234, decode.d0.loss_dice: 0.9376, decode.d1.loss_cls: 0.4891, decode.d1.loss_mask: 0.6180, decode.d1.loss_dice: 0.9162, decode.d2.loss_cls: 0.4426, decode.d2.loss_mask: 0.6014, decode.d2.loss_dice: 0.8901, decode.d3.loss_cls: 0.4204, decode.d3.loss_mask: 0.5992, decode.d3.loss_dice: 0.8695, decode.d4.loss_cls: 0.4153, decode.d4.loss_mask: 0.5978, decode.d4.loss_dice: 0.8643, decode.d5.loss_cls: 0.4137, decode.d5.loss_mask: 0.5938, decode.d5.loss_dice: 0.8629, decode.d6.loss_cls: 0.4069, decode.d6.loss_mask: 0.5941, decode.d6.loss_dice: 0.8599, decode.d7.loss_cls: 0.3968, decode.d7.loss_mask: 0.5942, decode.d7.loss_dice: 0.8607, decode.d8.loss_cls: 0.3996, decode.d8.loss_mask: 0.5933, decode.d8.loss_dice: 0.8592, loss: 19.9775, grad_norm: 47.1366 2023-11-12 04:23:09,800 - mmseg - INFO - Iter [39800/160000] lr: 7.513e-05, eta: 17:00:19, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4040, decode.loss_mask: 0.6038, decode.loss_dice: 0.8662, decode.d0.loss_cls: 1.4174, decode.d0.loss_mask: 0.6370, decode.d0.loss_dice: 0.9514, decode.d1.loss_cls: 0.5115, decode.d1.loss_mask: 0.6258, decode.d1.loss_dice: 0.9189, decode.d2.loss_cls: 0.4498, decode.d2.loss_mask: 0.6178, decode.d2.loss_dice: 0.8967, decode.d3.loss_cls: 0.4300, decode.d3.loss_mask: 0.6086, decode.d3.loss_dice: 0.8732, decode.d4.loss_cls: 0.4215, decode.d4.loss_mask: 0.6093, decode.d4.loss_dice: 0.8768, decode.d5.loss_cls: 0.4188, decode.d5.loss_mask: 0.6085, decode.d5.loss_dice: 0.8786, decode.d6.loss_cls: 0.4146, decode.d6.loss_mask: 0.6067, decode.d6.loss_dice: 0.8652, decode.d7.loss_cls: 0.4132, decode.d7.loss_mask: 0.6050, decode.d7.loss_dice: 0.8681, decode.d8.loss_cls: 0.4118, decode.d8.loss_mask: 0.6031, decode.d8.loss_dice: 0.8705, loss: 20.2838, grad_norm: 53.3518 2023-11-12 04:23:33,727 - mmseg - INFO - Iter [39850/160000] lr: 7.509e-05, eta: 16:59:49, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4053, decode.loss_mask: 0.6004, decode.loss_dice: 0.9031, decode.d0.loss_cls: 1.4087, decode.d0.loss_mask: 0.6295, decode.d0.loss_dice: 0.9814, decode.d1.loss_cls: 0.4991, decode.d1.loss_mask: 0.6163, decode.d1.loss_dice: 0.9491, decode.d2.loss_cls: 0.4528, decode.d2.loss_mask: 0.6053, decode.d2.loss_dice: 0.9284, decode.d3.loss_cls: 0.4313, decode.d3.loss_mask: 0.5995, decode.d3.loss_dice: 0.9052, decode.d4.loss_cls: 0.4178, decode.d4.loss_mask: 0.5971, decode.d4.loss_dice: 0.9028, decode.d5.loss_cls: 0.4138, decode.d5.loss_mask: 0.5987, decode.d5.loss_dice: 0.9090, decode.d6.loss_cls: 0.4166, decode.d6.loss_mask: 0.5999, decode.d6.loss_dice: 0.8932, decode.d7.loss_cls: 0.4106, decode.d7.loss_mask: 0.5998, decode.d7.loss_dice: 0.8971, decode.d8.loss_cls: 0.4111, decode.d8.loss_mask: 0.5989, decode.d8.loss_dice: 0.9002, loss: 20.4819, grad_norm: 44.4316 2023-11-12 04:23:57,467 - mmseg - INFO - Iter [39900/160000] lr: 7.506e-05, eta: 16:59:18, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4004, decode.loss_mask: 0.6158, decode.loss_dice: 0.8560, decode.d0.loss_cls: 1.3608, decode.d0.loss_mask: 0.6496, decode.d0.loss_dice: 0.9503, decode.d1.loss_cls: 0.4810, decode.d1.loss_mask: 0.6344, decode.d1.loss_dice: 0.9062, decode.d2.loss_cls: 0.4349, decode.d2.loss_mask: 0.6189, decode.d2.loss_dice: 0.8815, decode.d3.loss_cls: 0.4266, decode.d3.loss_mask: 0.6175, decode.d3.loss_dice: 0.8684, decode.d4.loss_cls: 0.4146, decode.d4.loss_mask: 0.6164, decode.d4.loss_dice: 0.8649, decode.d5.loss_cls: 0.4107, decode.d5.loss_mask: 0.6139, decode.d5.loss_dice: 0.8630, decode.d6.loss_cls: 0.4077, decode.d6.loss_mask: 0.6153, decode.d6.loss_dice: 0.8534, decode.d7.loss_cls: 0.4048, decode.d7.loss_mask: 0.6129, decode.d7.loss_dice: 0.8567, decode.d8.loss_cls: 0.3994, decode.d8.loss_mask: 0.6131, decode.d8.loss_dice: 0.8553, loss: 20.1044, grad_norm: 49.4347 2023-11-12 04:24:21,363 - mmseg - INFO - Iter [39950/160000] lr: 7.503e-05, eta: 16:58:48, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3972, decode.loss_mask: 0.6008, decode.loss_dice: 0.8433, decode.d0.loss_cls: 1.3934, decode.d0.loss_mask: 0.6377, decode.d0.loss_dice: 0.9339, decode.d1.loss_cls: 0.4807, decode.d1.loss_mask: 0.6197, decode.d1.loss_dice: 0.8935, decode.d2.loss_cls: 0.4258, decode.d2.loss_mask: 0.6147, decode.d2.loss_dice: 0.8710, decode.d3.loss_cls: 0.4097, decode.d3.loss_mask: 0.6056, decode.d3.loss_dice: 0.8511, decode.d4.loss_cls: 0.4028, decode.d4.loss_mask: 0.6050, decode.d4.loss_dice: 0.8572, decode.d5.loss_cls: 0.4054, decode.d5.loss_mask: 0.6049, decode.d5.loss_dice: 0.8478, decode.d6.loss_cls: 0.3983, decode.d6.loss_mask: 0.6038, decode.d6.loss_dice: 0.8425, decode.d7.loss_cls: 0.3986, decode.d7.loss_mask: 0.6019, decode.d7.loss_dice: 0.8405, decode.d8.loss_cls: 0.3895, decode.d8.loss_mask: 0.6042, decode.d8.loss_dice: 0.8483, loss: 19.8288, grad_norm: 49.4032 2023-11-12 04:24:45,349 - mmseg - INFO - Saving checkpoint at 40000 iterations 2023-11-12 04:24:49,620 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 04:24:49,621 - mmseg - INFO - Iter [40000/160000] lr: 7.500e-05, eta: 16:58:31, time: 0.565, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4054, decode.loss_mask: 0.5927, decode.loss_dice: 0.8745, decode.d0.loss_cls: 1.4287, decode.d0.loss_mask: 0.6307, decode.d0.loss_dice: 0.9677, decode.d1.loss_cls: 0.5106, decode.d1.loss_mask: 0.6174, decode.d1.loss_dice: 0.9347, decode.d2.loss_cls: 0.4551, decode.d2.loss_mask: 0.6058, decode.d2.loss_dice: 0.8990, decode.d3.loss_cls: 0.4225, decode.d3.loss_mask: 0.5974, decode.d3.loss_dice: 0.8854, decode.d4.loss_cls: 0.4147, decode.d4.loss_mask: 0.5980, decode.d4.loss_dice: 0.8848, decode.d5.loss_cls: 0.4159, decode.d5.loss_mask: 0.5958, decode.d5.loss_dice: 0.8804, decode.d6.loss_cls: 0.4106, decode.d6.loss_mask: 0.5928, decode.d6.loss_dice: 0.8757, decode.d7.loss_cls: 0.4091, decode.d7.loss_mask: 0.5972, decode.d7.loss_dice: 0.8772, decode.d8.loss_cls: 0.4097, decode.d8.loss_mask: 0.5942, decode.d8.loss_dice: 0.8788, loss: 20.2625, grad_norm: 50.5458 2023-11-12 04:25:15,383 - mmseg - INFO - per class results: 2023-11-12 04:25:15,388 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.11 | 87.27 | | building | 82.5 | 92.35 | | sky | 94.88 | 96.98 | | floor | 84.31 | 91.08 | | tree | 75.67 | 87.33 | | ceiling | 84.96 | 90.99 | | road | 83.57 | 88.16 | | bed | 89.04 | 94.52 | | windowpane | 64.28 | 80.29 | | grass | 67.54 | 87.59 | | cabinet | 61.2 | 76.22 | | sidewalk | 63.49 | 84.98 | | person | 85.2 | 93.06 | | earth | 42.83 | 56.31 | | door | 52.03 | 70.03 | | table | 66.04 | 79.01 | | mountain | 58.74 | 71.63 | | plant | 52.38 | 73.64 | | curtain | 77.62 | 88.01 | | chair | 62.17 | 74.52 | | car | 84.82 | 90.85 | | water | 59.39 | 84.78 | | painting | 72.56 | 85.99 | | sofa | 71.29 | 87.29 | | shelf | 44.73 | 61.66 | | house | 37.08 | 42.02 | | sea | 67.35 | 78.13 | | mirror | 66.14 | 86.42 | | rug | 69.48 | 81.81 | | field | 27.11 | 33.96 | | armchair | 45.53 | 62.01 | | seat | 63.65 | 83.63 | | fence | 43.44 | 63.39 | | desk | 43.92 | 59.27 | | rock | 44.72 | 63.48 | | wardrobe | 49.78 | 76.08 | | lamp | 69.33 | 82.72 | | bathtub | 78.55 | 85.6 | | railing | 36.08 | 59.52 | | cushion | 62.34 | 77.05 | | base | 34.11 | 63.35 | | box | 29.93 | 40.69 | | column | 44.7 | 57.13 | | signboard | 41.2 | 58.56 | | chest of drawers | 41.32 | 68.53 | | counter | 24.52 | 44.94 | | sand | 35.26 | 47.66 | | sink | 75.21 | 84.77 | | skyscraper | 38.26 | 45.42 | | fireplace | 72.53 | 93.74 | | refrigerator | 75.82 | 83.45 | | grandstand | 57.02 | 67.47 | | path | 19.69 | 28.38 | | stairs | 45.0 | 59.49 | | runway | 84.58 | 86.47 | | case | 52.75 | 69.35 | | pool table | 94.66 | 96.95 | | pillow | 58.79 | 74.58 | | screen door | 69.35 | 78.1 | | stairway | 34.36 | 39.51 | | river | 4.24 | 4.29 | | bridge | 69.77 | 85.57 | | bookcase | 38.02 | 52.76 | | blind | 41.98 | 45.46 | | coffee table | 68.85 | 86.14 | | toilet | 88.92 | 93.38 | | flower | 43.17 | 60.59 | | book | 52.22 | 74.56 | | hill | 8.82 | 15.96 | | bench | 47.16 | 57.46 | | countertop | 62.64 | 74.75 | | stove | 81.95 | 87.34 | | palm | 57.99 | 78.44 | | kitchen island | 50.7 | 86.68 | | computer | 72.11 | 78.76 | | swivel chair | 42.87 | 64.72 | | boat | 74.01 | 84.28 | | bar | 32.29 | 36.44 | | arcade machine | 68.58 | 73.26 | | hovel | 52.54 | 74.15 | | bus | 88.54 | 97.05 | | towel | 66.47 | 85.89 | | light | 62.31 | 82.07 | | truck | 33.13 | 57.91 | | tower | 27.01 | 46.21 | | chandelier | 66.7 | 88.49 | | awning | 35.72 | 53.14 | | streetlight | 41.95 | 67.21 | | booth | 19.66 | 20.0 | | television receiver | 70.07 | 83.57 | | airplane | 62.0 | 70.46 | | dirt track | 0.0 | 0.0 | | apparel | 25.51 | 49.26 | | pole | 32.13 | 51.96 | | land | 0.33 | 0.35 | | bannister | 17.92 | 30.88 | | escalator | 1.71 | 1.74 | | ottoman | 54.0 | 66.96 | | bottle | 29.72 | 40.7 | | buffet | 34.38 | 42.77 | | poster | 14.5 | 25.12 | | stage | 27.05 | 49.94 | | van | 41.26 | 61.9 | | ship | 9.76 | 10.76 | | fountain | 5.73 | 6.8 | | conveyer belt | 55.2 | 92.94 | | canopy | 29.71 | 38.5 | | washer | 67.04 | 75.07 | | plaything | 39.73 | 70.42 | | swimming pool | 37.08 | 40.5 | | stool | 53.98 | 72.56 | | barrel | 67.21 | 74.78 | | basket | 45.27 | 59.6 | | waterfall | 37.25 | 60.06 | | tent | 68.31 | 98.25 | | bag | 22.99 | 34.11 | | minibike | 64.14 | 92.3 | | cradle | 86.39 | 97.86 | | oven | 47.32 | 65.54 | | ball | 47.57 | 56.28 | | food | 64.48 | 85.53 | | step | 30.16 | 50.73 | | tank | 50.69 | 56.17 | | trade name | 33.68 | 44.22 | | microwave | 84.56 | 94.81 | | pot | 43.97 | 59.19 | | animal | 75.24 | 79.29 | | bicycle | 65.27 | 83.87 | | lake | 0.0 | 0.0 | | dishwasher | 72.77 | 77.85 | | screen | 59.12 | 89.38 | | blanket | 27.65 | 43.51 | | sculpture | 62.43 | 87.89 | | hood | 65.29 | 77.24 | | sconce | 51.62 | 69.87 | | vase | 51.87 | 74.67 | | traffic light | 39.12 | 62.33 | | tray | 22.67 | 33.64 | | ashcan | 51.32 | 68.73 | | fan | 64.66 | 86.51 | | pier | 21.54 | 31.56 | | crt screen | 6.01 | 15.7 | | plate | 61.93 | 76.15 | | monitor | 8.44 | 14.11 | | bulletin board | 52.59 | 66.18 | | shower | 3.4 | 25.88 | | radiator | 71.82 | 81.24 | | glass | 21.93 | 25.23 | | clock | 51.53 | 63.61 | | flag | 54.32 | 62.41 | +---------------------+-------+-------+ 2023-11-12 04:25:15,388 - mmseg - INFO - Summary: 2023-11-12 04:25:15,388 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 83.91 | 51.06 | 64.8 | +-------+-------+------+ 2023-11-12 04:25:15,478 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_36000.pth was removed 2023-11-12 04:25:19,062 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_40000.pth. 2023-11-12 04:25:19,063 - mmseg - INFO - Best mIoU is 0.5106 at 40000 iter. 2023-11-12 04:25:19,063 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 04:25:19,063 - mmseg - INFO - Iter(val) [250] aAcc: 0.8391, mIoU: 0.5106, mAcc: 0.6480, IoU.wall: 0.7911, IoU.building: 0.8250, IoU.sky: 0.9488, IoU.floor: 0.8431, IoU.tree: 0.7567, IoU.ceiling: 0.8496, IoU.road: 0.8357, IoU.bed : 0.8904, IoU.windowpane: 0.6428, IoU.grass: 0.6754, IoU.cabinet: 0.6120, IoU.sidewalk: 0.6349, IoU.person: 0.8520, IoU.earth: 0.4283, IoU.door: 0.5203, IoU.table: 0.6604, IoU.mountain: 0.5874, IoU.plant: 0.5238, IoU.curtain: 0.7762, IoU.chair: 0.6217, IoU.car: 0.8482, IoU.water: 0.5939, IoU.painting: 0.7256, IoU.sofa: 0.7129, IoU.shelf: 0.4473, IoU.house: 0.3708, IoU.sea: 0.6735, IoU.mirror: 0.6614, IoU.rug: 0.6948, IoU.field: 0.2711, IoU.armchair: 0.4553, IoU.seat: 0.6365, IoU.fence: 0.4344, IoU.desk: 0.4392, IoU.rock: 0.4472, IoU.wardrobe: 0.4978, IoU.lamp: 0.6933, IoU.bathtub: 0.7855, IoU.railing: 0.3608, IoU.cushion: 0.6234, IoU.base: 0.3411, IoU.box: 0.2993, IoU.column: 0.4470, IoU.signboard: 0.4120, IoU.chest of drawers: 0.4132, IoU.counter: 0.2452, IoU.sand: 0.3526, IoU.sink: 0.7521, IoU.skyscraper: 0.3826, IoU.fireplace: 0.7253, IoU.refrigerator: 0.7582, IoU.grandstand: 0.5702, IoU.path: 0.1969, IoU.stairs: 0.4500, IoU.runway: 0.8458, IoU.case: 0.5275, IoU.pool table: 0.9466, IoU.pillow: 0.5879, IoU.screen door: 0.6935, IoU.stairway: 0.3436, IoU.river: 0.0424, IoU.bridge: 0.6977, IoU.bookcase: 0.3802, IoU.blind: 0.4198, IoU.coffee table: 0.6885, IoU.toilet: 0.8892, IoU.flower: 0.4317, IoU.book: 0.5222, IoU.hill: 0.0882, IoU.bench: 0.4716, IoU.countertop: 0.6264, IoU.stove: 0.8195, IoU.palm: 0.5799, IoU.kitchen island: 0.5070, IoU.computer: 0.7211, IoU.swivel chair: 0.4287, IoU.boat: 0.7401, IoU.bar: 0.3229, IoU.arcade machine: 0.6858, IoU.hovel: 0.5254, IoU.bus: 0.8854, IoU.towel: 0.6647, IoU.light: 0.6231, IoU.truck: 0.3313, IoU.tower: 0.2701, IoU.chandelier: 0.6670, IoU.awning: 0.3572, IoU.streetlight: 0.4195, IoU.booth: 0.1966, IoU.television receiver: 0.7007, IoU.airplane: 0.6200, IoU.dirt track: 0.0000, IoU.apparel: 0.2551, IoU.pole: 0.3213, IoU.land: 0.0033, IoU.bannister: 0.1792, IoU.escalator: 0.0171, IoU.ottoman: 0.5400, IoU.bottle: 0.2972, IoU.buffet: 0.3438, IoU.poster: 0.1450, IoU.stage: 0.2705, IoU.van: 0.4126, IoU.ship: 0.0976, IoU.fountain: 0.0573, IoU.conveyer belt: 0.5520, IoU.canopy: 0.2971, IoU.washer: 0.6704, IoU.plaything: 0.3973, IoU.swimming pool: 0.3708, IoU.stool: 0.5398, IoU.barrel: 0.6721, IoU.basket: 0.4527, IoU.waterfall: 0.3725, IoU.tent: 0.6831, IoU.bag: 0.2299, IoU.minibike: 0.6414, IoU.cradle: 0.8639, IoU.oven: 0.4732, IoU.ball: 0.4757, IoU.food: 0.6448, IoU.step: 0.3016, IoU.tank: 0.5069, IoU.trade name: 0.3368, IoU.microwave: 0.8456, IoU.pot: 0.4397, IoU.animal: 0.7524, IoU.bicycle: 0.6527, IoU.lake: 0.0000, IoU.dishwasher: 0.7277, IoU.screen: 0.5912, IoU.blanket: 0.2765, IoU.sculpture: 0.6243, IoU.hood: 0.6529, IoU.sconce: 0.5162, IoU.vase: 0.5187, IoU.traffic light: 0.3912, IoU.tray: 0.2267, IoU.ashcan: 0.5132, IoU.fan: 0.6466, IoU.pier: 0.2154, IoU.crt screen: 0.0601, IoU.plate: 0.6193, IoU.monitor: 0.0844, IoU.bulletin board: 0.5259, IoU.shower: 0.0340, IoU.radiator: 0.7182, IoU.glass: 0.2193, IoU.clock: 0.5153, IoU.flag: 0.5432, Acc.wall: 0.8727, Acc.building: 0.9235, Acc.sky: 0.9698, Acc.floor: 0.9108, Acc.tree: 0.8733, Acc.ceiling: 0.9099, Acc.road: 0.8816, Acc.bed : 0.9452, Acc.windowpane: 0.8029, Acc.grass: 0.8759, Acc.cabinet: 0.7622, Acc.sidewalk: 0.8498, Acc.person: 0.9306, Acc.earth: 0.5631, Acc.door: 0.7003, Acc.table: 0.7901, Acc.mountain: 0.7163, Acc.plant: 0.7364, Acc.curtain: 0.8801, Acc.chair: 0.7452, Acc.car: 0.9085, Acc.water: 0.8478, Acc.painting: 0.8599, Acc.sofa: 0.8729, Acc.shelf: 0.6166, Acc.house: 0.4202, Acc.sea: 0.7813, Acc.mirror: 0.8642, Acc.rug: 0.8181, Acc.field: 0.3396, Acc.armchair: 0.6201, Acc.seat: 0.8363, Acc.fence: 0.6339, Acc.desk: 0.5927, Acc.rock: 0.6348, Acc.wardrobe: 0.7608, Acc.lamp: 0.8272, Acc.bathtub: 0.8560, Acc.railing: 0.5952, Acc.cushion: 0.7705, Acc.base: 0.6335, Acc.box: 0.4069, Acc.column: 0.5713, Acc.signboard: 0.5856, Acc.chest of drawers: 0.6853, Acc.counter: 0.4494, Acc.sand: 0.4766, Acc.sink: 0.8477, Acc.skyscraper: 0.4542, Acc.fireplace: 0.9374, Acc.refrigerator: 0.8345, Acc.grandstand: 0.6747, Acc.path: 0.2838, Acc.stairs: 0.5949, Acc.runway: 0.8647, Acc.case: 0.6935, Acc.pool table: 0.9695, Acc.pillow: 0.7458, Acc.screen door: 0.7810, Acc.stairway: 0.3951, Acc.river: 0.0429, Acc.bridge: 0.8557, Acc.bookcase: 0.5276, Acc.blind: 0.4546, Acc.coffee table: 0.8614, Acc.toilet: 0.9338, Acc.flower: 0.6059, Acc.book: 0.7456, Acc.hill: 0.1596, Acc.bench: 0.5746, Acc.countertop: 0.7475, Acc.stove: 0.8734, Acc.palm: 0.7844, Acc.kitchen island: 0.8668, Acc.computer: 0.7876, Acc.swivel chair: 0.6472, Acc.boat: 0.8428, Acc.bar: 0.3644, Acc.arcade machine: 0.7326, Acc.hovel: 0.7415, Acc.bus: 0.9705, Acc.towel: 0.8589, Acc.light: 0.8207, Acc.truck: 0.5791, Acc.tower: 0.4621, Acc.chandelier: 0.8849, Acc.awning: 0.5314, Acc.streetlight: 0.6721, Acc.booth: 0.2000, Acc.television receiver: 0.8357, Acc.airplane: 0.7046, Acc.dirt track: 0.0000, Acc.apparel: 0.4926, Acc.pole: 0.5196, Acc.land: 0.0035, Acc.bannister: 0.3088, Acc.escalator: 0.0174, Acc.ottoman: 0.6696, Acc.bottle: 0.4070, Acc.buffet: 0.4277, Acc.poster: 0.2512, Acc.stage: 0.4994, Acc.van: 0.6190, Acc.ship: 0.1076, Acc.fountain: 0.0680, Acc.conveyer belt: 0.9294, Acc.canopy: 0.3850, Acc.washer: 0.7507, Acc.plaything: 0.7042, Acc.swimming pool: 0.4050, Acc.stool: 0.7256, Acc.barrel: 0.7478, Acc.basket: 0.5960, Acc.waterfall: 0.6006, Acc.tent: 0.9825, Acc.bag: 0.3411, Acc.minibike: 0.9230, Acc.cradle: 0.9786, Acc.oven: 0.6554, Acc.ball: 0.5628, Acc.food: 0.8553, Acc.step: 0.5073, Acc.tank: 0.5617, Acc.trade name: 0.4422, Acc.microwave: 0.9481, Acc.pot: 0.5919, Acc.animal: 0.7929, Acc.bicycle: 0.8387, Acc.lake: 0.0000, Acc.dishwasher: 0.7785, Acc.screen: 0.8938, Acc.blanket: 0.4351, Acc.sculpture: 0.8789, Acc.hood: 0.7724, Acc.sconce: 0.6987, Acc.vase: 0.7467, Acc.traffic light: 0.6233, Acc.tray: 0.3364, Acc.ashcan: 0.6873, Acc.fan: 0.8651, Acc.pier: 0.3156, Acc.crt screen: 0.1570, Acc.plate: 0.7615, Acc.monitor: 0.1411, Acc.bulletin board: 0.6618, Acc.shower: 0.2588, Acc.radiator: 0.8124, Acc.glass: 0.2523, Acc.clock: 0.6361, Acc.flag: 0.6241 2023-11-12 04:25:43,506 - mmseg - INFO - Iter [40050/160000] lr: 7.497e-05, eta: 16:59:31, time: 1.078, data_time: 0.602, memory: 41146, decode.loss_cls: 0.4151, decode.loss_mask: 0.5971, decode.loss_dice: 0.8690, decode.d0.loss_cls: 1.4193, decode.d0.loss_mask: 0.6284, decode.d0.loss_dice: 0.9625, decode.d1.loss_cls: 0.5023, decode.d1.loss_mask: 0.6193, decode.d1.loss_dice: 0.9224, decode.d2.loss_cls: 0.4507, decode.d2.loss_mask: 0.6063, decode.d2.loss_dice: 0.9004, decode.d3.loss_cls: 0.4383, decode.d3.loss_mask: 0.6009, decode.d3.loss_dice: 0.8793, decode.d4.loss_cls: 0.4287, decode.d4.loss_mask: 0.5988, decode.d4.loss_dice: 0.8714, decode.d5.loss_cls: 0.4233, decode.d5.loss_mask: 0.5993, decode.d5.loss_dice: 0.8754, decode.d6.loss_cls: 0.4198, decode.d6.loss_mask: 0.5963, decode.d6.loss_dice: 0.8705, decode.d7.loss_cls: 0.4150, decode.d7.loss_mask: 0.5963, decode.d7.loss_dice: 0.8691, decode.d8.loss_cls: 0.4170, decode.d8.loss_mask: 0.5954, decode.d8.loss_dice: 0.8763, loss: 20.2640, grad_norm: 47.6207 2023-11-12 04:26:07,498 - mmseg - INFO - Iter [40100/160000] lr: 7.494e-05, eta: 16:59:01, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4069, decode.loss_mask: 0.5608, decode.loss_dice: 0.8507, decode.d0.loss_cls: 1.4323, decode.d0.loss_mask: 0.5910, decode.d0.loss_dice: 0.9434, decode.d1.loss_cls: 0.5011, decode.d1.loss_mask: 0.5845, decode.d1.loss_dice: 0.9131, decode.d2.loss_cls: 0.4411, decode.d2.loss_mask: 0.5726, decode.d2.loss_dice: 0.8802, decode.d3.loss_cls: 0.4336, decode.d3.loss_mask: 0.5639, decode.d3.loss_dice: 0.8563, decode.d4.loss_cls: 0.4117, decode.d4.loss_mask: 0.5629, decode.d4.loss_dice: 0.8581, decode.d5.loss_cls: 0.4137, decode.d5.loss_mask: 0.5608, decode.d5.loss_dice: 0.8515, decode.d6.loss_cls: 0.4077, decode.d6.loss_mask: 0.5598, decode.d6.loss_dice: 0.8508, decode.d7.loss_cls: 0.4038, decode.d7.loss_mask: 0.5594, decode.d7.loss_dice: 0.8503, decode.d8.loss_cls: 0.4042, decode.d8.loss_mask: 0.5592, decode.d8.loss_dice: 0.8510, loss: 19.6364, grad_norm: 45.9164 2023-11-12 04:26:31,455 - mmseg - INFO - Iter [40150/160000] lr: 7.491e-05, eta: 16:58:31, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4064, decode.loss_mask: 0.5941, decode.loss_dice: 0.8765, decode.d0.loss_cls: 1.3994, decode.d0.loss_mask: 0.6324, decode.d0.loss_dice: 0.9706, decode.d1.loss_cls: 0.4870, decode.d1.loss_mask: 0.6143, decode.d1.loss_dice: 0.9366, decode.d2.loss_cls: 0.4360, decode.d2.loss_mask: 0.6077, decode.d2.loss_dice: 0.9120, decode.d3.loss_cls: 0.4160, decode.d3.loss_mask: 0.5998, decode.d3.loss_dice: 0.8891, decode.d4.loss_cls: 0.4115, decode.d4.loss_mask: 0.5975, decode.d4.loss_dice: 0.8906, decode.d5.loss_cls: 0.4093, decode.d5.loss_mask: 0.5967, decode.d5.loss_dice: 0.8824, decode.d6.loss_cls: 0.4029, decode.d6.loss_mask: 0.5963, decode.d6.loss_dice: 0.8801, decode.d7.loss_cls: 0.4035, decode.d7.loss_mask: 0.5948, decode.d7.loss_dice: 0.8817, decode.d8.loss_cls: 0.4045, decode.d8.loss_mask: 0.5936, decode.d8.loss_dice: 0.8779, loss: 20.2012, grad_norm: 49.6373 2023-11-12 04:26:55,471 - mmseg - INFO - Iter [40200/160000] lr: 7.488e-05, eta: 16:58:01, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4113, decode.loss_mask: 0.5851, decode.loss_dice: 0.8844, decode.d0.loss_cls: 1.4427, decode.d0.loss_mask: 0.6184, decode.d0.loss_dice: 0.9739, decode.d1.loss_cls: 0.5074, decode.d1.loss_mask: 0.6058, decode.d1.loss_dice: 0.9402, decode.d2.loss_cls: 0.4492, decode.d2.loss_mask: 0.5899, decode.d2.loss_dice: 0.9123, decode.d3.loss_cls: 0.4273, decode.d3.loss_mask: 0.5864, decode.d3.loss_dice: 0.8902, decode.d4.loss_cls: 0.4198, decode.d4.loss_mask: 0.5872, decode.d4.loss_dice: 0.8924, decode.d5.loss_cls: 0.4098, decode.d5.loss_mask: 0.5867, decode.d5.loss_dice: 0.8932, decode.d6.loss_cls: 0.4114, decode.d6.loss_mask: 0.5822, decode.d6.loss_dice: 0.8875, decode.d7.loss_cls: 0.4064, decode.d7.loss_mask: 0.5874, decode.d7.loss_dice: 0.8866, decode.d8.loss_cls: 0.4056, decode.d8.loss_mask: 0.5854, decode.d8.loss_dice: 0.8896, loss: 20.2558, grad_norm: 46.6642 2023-11-12 04:27:19,599 - mmseg - INFO - Iter [40250/160000] lr: 7.484e-05, eta: 16:57:31, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4123, decode.loss_mask: 0.5917, decode.loss_dice: 0.8773, decode.d0.loss_cls: 1.4467, decode.d0.loss_mask: 0.6329, decode.d0.loss_dice: 0.9669, decode.d1.loss_cls: 0.4957, decode.d1.loss_mask: 0.6177, decode.d1.loss_dice: 0.9341, decode.d2.loss_cls: 0.4568, decode.d2.loss_mask: 0.6038, decode.d2.loss_dice: 0.8985, decode.d3.loss_cls: 0.4276, decode.d3.loss_mask: 0.5925, decode.d3.loss_dice: 0.8844, decode.d4.loss_cls: 0.4245, decode.d4.loss_mask: 0.5955, decode.d4.loss_dice: 0.8810, decode.d5.loss_cls: 0.4219, decode.d5.loss_mask: 0.5911, decode.d5.loss_dice: 0.8712, decode.d6.loss_cls: 0.4165, decode.d6.loss_mask: 0.5913, decode.d6.loss_dice: 0.8754, decode.d7.loss_cls: 0.4148, decode.d7.loss_mask: 0.5930, decode.d7.loss_dice: 0.8756, decode.d8.loss_cls: 0.4017, decode.d8.loss_mask: 0.5946, decode.d8.loss_dice: 0.8792, loss: 20.2662, grad_norm: 48.9837 2023-11-12 04:27:43,680 - mmseg - INFO - Iter [40300/160000] lr: 7.481e-05, eta: 16:57:02, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4092, decode.loss_mask: 0.6053, decode.loss_dice: 0.8735, decode.d0.loss_cls: 1.4112, decode.d0.loss_mask: 0.6489, decode.d0.loss_dice: 0.9696, decode.d1.loss_cls: 0.4969, decode.d1.loss_mask: 0.6280, decode.d1.loss_dice: 0.9321, decode.d2.loss_cls: 0.4505, decode.d2.loss_mask: 0.6168, decode.d2.loss_dice: 0.8998, decode.d3.loss_cls: 0.4314, decode.d3.loss_mask: 0.6105, decode.d3.loss_dice: 0.8830, decode.d4.loss_cls: 0.4211, decode.d4.loss_mask: 0.6090, decode.d4.loss_dice: 0.8843, decode.d5.loss_cls: 0.4220, decode.d5.loss_mask: 0.6066, decode.d5.loss_dice: 0.8849, decode.d6.loss_cls: 0.4082, decode.d6.loss_mask: 0.6071, decode.d6.loss_dice: 0.8751, decode.d7.loss_cls: 0.4075, decode.d7.loss_mask: 0.6052, decode.d7.loss_dice: 0.8814, decode.d8.loss_cls: 0.4097, decode.d8.loss_mask: 0.6062, decode.d8.loss_dice: 0.8773, loss: 20.3725, grad_norm: 47.4646 2023-11-12 04:28:07,608 - mmseg - INFO - Iter [40350/160000] lr: 7.478e-05, eta: 16:56:32, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4171, decode.loss_mask: 0.5835, decode.loss_dice: 0.8607, decode.d0.loss_cls: 1.4112, decode.d0.loss_mask: 0.6128, decode.d0.loss_dice: 0.9599, decode.d1.loss_cls: 0.5025, decode.d1.loss_mask: 0.6076, decode.d1.loss_dice: 0.9175, decode.d2.loss_cls: 0.4596, decode.d2.loss_mask: 0.5850, decode.d2.loss_dice: 0.8804, decode.d3.loss_cls: 0.4418, decode.d3.loss_mask: 0.5803, decode.d3.loss_dice: 0.8601, decode.d4.loss_cls: 0.4303, decode.d4.loss_mask: 0.5806, decode.d4.loss_dice: 0.8601, decode.d5.loss_cls: 0.4164, decode.d5.loss_mask: 0.5839, decode.d5.loss_dice: 0.8684, decode.d6.loss_cls: 0.4172, decode.d6.loss_mask: 0.5810, decode.d6.loss_dice: 0.8572, decode.d7.loss_cls: 0.4161, decode.d7.loss_mask: 0.5788, decode.d7.loss_dice: 0.8587, decode.d8.loss_cls: 0.4164, decode.d8.loss_mask: 0.5811, decode.d8.loss_dice: 0.8578, loss: 19.9839, grad_norm: 45.4497 2023-11-12 04:28:31,670 - mmseg - INFO - Iter [40400/160000] lr: 7.475e-05, eta: 16:56:02, time: 0.481, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4110, decode.loss_mask: 0.5793, decode.loss_dice: 0.8378, decode.d0.loss_cls: 1.4553, decode.d0.loss_mask: 0.6109, decode.d0.loss_dice: 0.9451, decode.d1.loss_cls: 0.4965, decode.d1.loss_mask: 0.6079, decode.d1.loss_dice: 0.8996, decode.d2.loss_cls: 0.4493, decode.d2.loss_mask: 0.5945, decode.d2.loss_dice: 0.8736, decode.d3.loss_cls: 0.4353, decode.d3.loss_mask: 0.5829, decode.d3.loss_dice: 0.8489, decode.d4.loss_cls: 0.4247, decode.d4.loss_mask: 0.5809, decode.d4.loss_dice: 0.8479, decode.d5.loss_cls: 0.4199, decode.d5.loss_mask: 0.5791, decode.d5.loss_dice: 0.8492, decode.d6.loss_cls: 0.4141, decode.d6.loss_mask: 0.5813, decode.d6.loss_dice: 0.8421, decode.d7.loss_cls: 0.4121, decode.d7.loss_mask: 0.5793, decode.d7.loss_dice: 0.8450, decode.d8.loss_cls: 0.4125, decode.d8.loss_mask: 0.5787, decode.d8.loss_dice: 0.8435, loss: 19.8382, grad_norm: 45.4816 2023-11-12 04:28:58,526 - mmseg - INFO - Iter [40450/160000] lr: 7.472e-05, eta: 16:55:40, time: 0.537, data_time: 0.057, memory: 41146, decode.loss_cls: 0.4045, decode.loss_mask: 0.5809, decode.loss_dice: 0.8558, decode.d0.loss_cls: 1.4181, decode.d0.loss_mask: 0.6226, decode.d0.loss_dice: 0.9539, decode.d1.loss_cls: 0.4986, decode.d1.loss_mask: 0.6013, decode.d1.loss_dice: 0.9099, decode.d2.loss_cls: 0.4366, decode.d2.loss_mask: 0.5956, decode.d2.loss_dice: 0.8833, decode.d3.loss_cls: 0.4250, decode.d3.loss_mask: 0.5885, decode.d3.loss_dice: 0.8599, decode.d4.loss_cls: 0.4145, decode.d4.loss_mask: 0.5873, decode.d4.loss_dice: 0.8593, decode.d5.loss_cls: 0.4028, decode.d5.loss_mask: 0.5875, decode.d5.loss_dice: 0.8578, decode.d6.loss_cls: 0.4046, decode.d6.loss_mask: 0.5840, decode.d6.loss_dice: 0.8499, decode.d7.loss_cls: 0.4001, decode.d7.loss_mask: 0.5843, decode.d7.loss_dice: 0.8553, decode.d8.loss_cls: 0.4016, decode.d8.loss_mask: 0.5846, decode.d8.loss_dice: 0.8544, loss: 19.8624, grad_norm: 49.4185 2023-11-12 04:29:22,714 - mmseg - INFO - Iter [40500/160000] lr: 7.469e-05, eta: 16:55:11, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4197, decode.loss_mask: 0.5675, decode.loss_dice: 0.8569, decode.d0.loss_cls: 1.4227, decode.d0.loss_mask: 0.6025, decode.d0.loss_dice: 0.9455, decode.d1.loss_cls: 0.5142, decode.d1.loss_mask: 0.5894, decode.d1.loss_dice: 0.9131, decode.d2.loss_cls: 0.4549, decode.d2.loss_mask: 0.5778, decode.d2.loss_dice: 0.8860, decode.d3.loss_cls: 0.4432, decode.d3.loss_mask: 0.5697, decode.d3.loss_dice: 0.8660, decode.d4.loss_cls: 0.4278, decode.d4.loss_mask: 0.5667, decode.d4.loss_dice: 0.8651, decode.d5.loss_cls: 0.4287, decode.d5.loss_mask: 0.5660, decode.d5.loss_dice: 0.8695, decode.d6.loss_cls: 0.4228, decode.d6.loss_mask: 0.5663, decode.d6.loss_dice: 0.8576, decode.d7.loss_cls: 0.4206, decode.d7.loss_mask: 0.5687, decode.d7.loss_dice: 0.8587, decode.d8.loss_cls: 0.4152, decode.d8.loss_mask: 0.5684, decode.d8.loss_dice: 0.8630, loss: 19.8943, grad_norm: 45.1361 2023-11-12 04:29:46,770 - mmseg - INFO - Iter [40550/160000] lr: 7.466e-05, eta: 16:54:41, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3824, decode.loss_mask: 0.6032, decode.loss_dice: 0.8611, decode.d0.loss_cls: 1.3694, decode.d0.loss_mask: 0.6444, decode.d0.loss_dice: 0.9320, decode.d1.loss_cls: 0.4659, decode.d1.loss_mask: 0.6301, decode.d1.loss_dice: 0.9071, decode.d2.loss_cls: 0.4255, decode.d2.loss_mask: 0.6145, decode.d2.loss_dice: 0.8834, decode.d3.loss_cls: 0.3969, decode.d3.loss_mask: 0.6112, decode.d3.loss_dice: 0.8654, decode.d4.loss_cls: 0.3988, decode.d4.loss_mask: 0.6097, decode.d4.loss_dice: 0.8653, decode.d5.loss_cls: 0.3890, decode.d5.loss_mask: 0.6097, decode.d5.loss_dice: 0.8653, decode.d6.loss_cls: 0.3858, decode.d6.loss_mask: 0.6067, decode.d6.loss_dice: 0.8592, decode.d7.loss_cls: 0.3765, decode.d7.loss_mask: 0.6061, decode.d7.loss_dice: 0.8657, decode.d8.loss_cls: 0.3799, decode.d8.loss_mask: 0.6043, decode.d8.loss_dice: 0.8595, loss: 19.8739, grad_norm: 49.6116 2023-11-12 04:30:10,987 - mmseg - INFO - Iter [40600/160000] lr: 7.463e-05, eta: 16:54:12, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3862, decode.loss_mask: 0.5656, decode.loss_dice: 0.8423, decode.d0.loss_cls: 1.4050, decode.d0.loss_mask: 0.6036, decode.d0.loss_dice: 0.9294, decode.d1.loss_cls: 0.4834, decode.d1.loss_mask: 0.5850, decode.d1.loss_dice: 0.8897, decode.d2.loss_cls: 0.4310, decode.d2.loss_mask: 0.5743, decode.d2.loss_dice: 0.8655, decode.d3.loss_cls: 0.4184, decode.d3.loss_mask: 0.5708, decode.d3.loss_dice: 0.8424, decode.d4.loss_cls: 0.4013, decode.d4.loss_mask: 0.5687, decode.d4.loss_dice: 0.8496, decode.d5.loss_cls: 0.3935, decode.d5.loss_mask: 0.5674, decode.d5.loss_dice: 0.8466, decode.d6.loss_cls: 0.3919, decode.d6.loss_mask: 0.5644, decode.d6.loss_dice: 0.8445, decode.d7.loss_cls: 0.3888, decode.d7.loss_mask: 0.5643, decode.d7.loss_dice: 0.8441, decode.d8.loss_cls: 0.3903, decode.d8.loss_mask: 0.5648, decode.d8.loss_dice: 0.8402, loss: 19.4132, grad_norm: 45.6677 2023-11-12 04:30:35,172 - mmseg - INFO - Iter [40650/160000] lr: 7.459e-05, eta: 16:53:43, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3966, decode.loss_mask: 0.5777, decode.loss_dice: 0.8500, decode.d0.loss_cls: 1.4166, decode.d0.loss_mask: 0.6195, decode.d0.loss_dice: 0.9319, decode.d1.loss_cls: 0.4871, decode.d1.loss_mask: 0.5996, decode.d1.loss_dice: 0.8962, decode.d2.loss_cls: 0.4364, decode.d2.loss_mask: 0.5887, decode.d2.loss_dice: 0.8727, decode.d3.loss_cls: 0.4146, decode.d3.loss_mask: 0.5810, decode.d3.loss_dice: 0.8585, decode.d4.loss_cls: 0.4029, decode.d4.loss_mask: 0.5822, decode.d4.loss_dice: 0.8557, decode.d5.loss_cls: 0.4033, decode.d5.loss_mask: 0.5812, decode.d5.loss_dice: 0.8555, decode.d6.loss_cls: 0.3969, decode.d6.loss_mask: 0.5804, decode.d6.loss_dice: 0.8544, decode.d7.loss_cls: 0.3987, decode.d7.loss_mask: 0.5817, decode.d7.loss_dice: 0.8507, decode.d8.loss_cls: 0.3942, decode.d8.loss_mask: 0.5797, decode.d8.loss_dice: 0.8508, loss: 19.6952, grad_norm: 43.7992 2023-11-12 04:30:59,122 - mmseg - INFO - Iter [40700/160000] lr: 7.456e-05, eta: 16:53:13, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3864, decode.loss_mask: 0.5610, decode.loss_dice: 0.8331, decode.d0.loss_cls: 1.3824, decode.d0.loss_mask: 0.5970, decode.d0.loss_dice: 0.9233, decode.d1.loss_cls: 0.4792, decode.d1.loss_mask: 0.5852, decode.d1.loss_dice: 0.8872, decode.d2.loss_cls: 0.4394, decode.d2.loss_mask: 0.5711, decode.d2.loss_dice: 0.8547, decode.d3.loss_cls: 0.4124, decode.d3.loss_mask: 0.5599, decode.d3.loss_dice: 0.8413, decode.d4.loss_cls: 0.3977, decode.d4.loss_mask: 0.5627, decode.d4.loss_dice: 0.8377, decode.d5.loss_cls: 0.3961, decode.d5.loss_mask: 0.5608, decode.d5.loss_dice: 0.8426, decode.d6.loss_cls: 0.3928, decode.d6.loss_mask: 0.5589, decode.d6.loss_dice: 0.8311, decode.d7.loss_cls: 0.3922, decode.d7.loss_mask: 0.5609, decode.d7.loss_dice: 0.8310, decode.d8.loss_cls: 0.3896, decode.d8.loss_mask: 0.5611, decode.d8.loss_dice: 0.8330, loss: 19.2617, grad_norm: 46.5520 2023-11-12 04:31:23,112 - mmseg - INFO - Iter [40750/160000] lr: 7.453e-05, eta: 16:52:43, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3929, decode.loss_mask: 0.5860, decode.loss_dice: 0.8407, decode.d0.loss_cls: 1.4116, decode.d0.loss_mask: 0.6261, decode.d0.loss_dice: 0.9313, decode.d1.loss_cls: 0.4780, decode.d1.loss_mask: 0.6112, decode.d1.loss_dice: 0.9010, decode.d2.loss_cls: 0.4360, decode.d2.loss_mask: 0.5973, decode.d2.loss_dice: 0.8667, decode.d3.loss_cls: 0.4192, decode.d3.loss_mask: 0.5861, decode.d3.loss_dice: 0.8498, decode.d4.loss_cls: 0.4096, decode.d4.loss_mask: 0.5873, decode.d4.loss_dice: 0.8502, decode.d5.loss_cls: 0.4022, decode.d5.loss_mask: 0.5866, decode.d5.loss_dice: 0.8467, decode.d6.loss_cls: 0.3972, decode.d6.loss_mask: 0.5860, decode.d6.loss_dice: 0.8420, decode.d7.loss_cls: 0.3913, decode.d7.loss_mask: 0.5860, decode.d7.loss_dice: 0.8420, decode.d8.loss_cls: 0.3916, decode.d8.loss_mask: 0.5842, decode.d8.loss_dice: 0.8482, loss: 19.6849, grad_norm: 44.8502 2023-11-12 04:31:47,025 - mmseg - INFO - Iter [40800/160000] lr: 7.450e-05, eta: 16:52:13, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3852, decode.loss_mask: 0.5818, decode.loss_dice: 0.8431, decode.d0.loss_cls: 1.3854, decode.d0.loss_mask: 0.6162, decode.d0.loss_dice: 0.9388, decode.d1.loss_cls: 0.4784, decode.d1.loss_mask: 0.6024, decode.d1.loss_dice: 0.8957, decode.d2.loss_cls: 0.4225, decode.d2.loss_mask: 0.5890, decode.d2.loss_dice: 0.8700, decode.d3.loss_cls: 0.4044, decode.d3.loss_mask: 0.5831, decode.d3.loss_dice: 0.8489, decode.d4.loss_cls: 0.3962, decode.d4.loss_mask: 0.5826, decode.d4.loss_dice: 0.8496, decode.d5.loss_cls: 0.3929, decode.d5.loss_mask: 0.5829, decode.d5.loss_dice: 0.8472, decode.d6.loss_cls: 0.3880, decode.d6.loss_mask: 0.5810, decode.d6.loss_dice: 0.8446, decode.d7.loss_cls: 0.3887, decode.d7.loss_mask: 0.5830, decode.d7.loss_dice: 0.8473, decode.d8.loss_cls: 0.3844, decode.d8.loss_mask: 0.5823, decode.d8.loss_dice: 0.8423, loss: 19.5380, grad_norm: 46.4137 2023-11-12 04:32:11,254 - mmseg - INFO - Iter [40850/160000] lr: 7.447e-05, eta: 16:51:44, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4004, decode.loss_mask: 0.5740, decode.loss_dice: 0.8457, decode.d0.loss_cls: 1.3871, decode.d0.loss_mask: 0.6124, decode.d0.loss_dice: 0.9504, decode.d1.loss_cls: 0.4933, decode.d1.loss_mask: 0.5948, decode.d1.loss_dice: 0.9116, decode.d2.loss_cls: 0.4458, decode.d2.loss_mask: 0.5838, decode.d2.loss_dice: 0.8755, decode.d3.loss_cls: 0.4272, decode.d3.loss_mask: 0.5794, decode.d3.loss_dice: 0.8557, decode.d4.loss_cls: 0.4149, decode.d4.loss_mask: 0.5771, decode.d4.loss_dice: 0.8538, decode.d5.loss_cls: 0.4125, decode.d5.loss_mask: 0.5740, decode.d5.loss_dice: 0.8522, decode.d6.loss_cls: 0.4101, decode.d6.loss_mask: 0.5710, decode.d6.loss_dice: 0.8449, decode.d7.loss_cls: 0.4078, decode.d7.loss_mask: 0.5758, decode.d7.loss_dice: 0.8472, decode.d8.loss_cls: 0.4011, decode.d8.loss_mask: 0.5725, decode.d8.loss_dice: 0.8484, loss: 19.7005, grad_norm: 47.5988 2023-11-12 04:32:35,283 - mmseg - INFO - Iter [40900/160000] lr: 7.444e-05, eta: 16:51:14, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4016, decode.loss_mask: 0.5767, decode.loss_dice: 0.8850, decode.d0.loss_cls: 1.3987, decode.d0.loss_mask: 0.6149, decode.d0.loss_dice: 0.9687, decode.d1.loss_cls: 0.4838, decode.d1.loss_mask: 0.5990, decode.d1.loss_dice: 0.9464, decode.d2.loss_cls: 0.4435, decode.d2.loss_mask: 0.5890, decode.d2.loss_dice: 0.9050, decode.d3.loss_cls: 0.4243, decode.d3.loss_mask: 0.5858, decode.d3.loss_dice: 0.8930, decode.d4.loss_cls: 0.4146, decode.d4.loss_mask: 0.5821, decode.d4.loss_dice: 0.8904, decode.d5.loss_cls: 0.4065, decode.d5.loss_mask: 0.5840, decode.d5.loss_dice: 0.8918, decode.d6.loss_cls: 0.4062, decode.d6.loss_mask: 0.5772, decode.d6.loss_dice: 0.8803, decode.d7.loss_cls: 0.4043, decode.d7.loss_mask: 0.5768, decode.d7.loss_dice: 0.8793, decode.d8.loss_cls: 0.4034, decode.d8.loss_mask: 0.5764, decode.d8.loss_dice: 0.8839, loss: 20.0727, grad_norm: 51.8847 2023-11-12 04:32:59,259 - mmseg - INFO - Iter [40950/160000] lr: 7.441e-05, eta: 16:50:44, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3802, decode.loss_mask: 0.5957, decode.loss_dice: 0.8687, decode.d0.loss_cls: 1.3905, decode.d0.loss_mask: 0.6369, decode.d0.loss_dice: 0.9466, decode.d1.loss_cls: 0.4831, decode.d1.loss_mask: 0.6183, decode.d1.loss_dice: 0.9213, decode.d2.loss_cls: 0.4233, decode.d2.loss_mask: 0.6050, decode.d2.loss_dice: 0.8869, decode.d3.loss_cls: 0.4016, decode.d3.loss_mask: 0.5989, decode.d3.loss_dice: 0.8721, decode.d4.loss_cls: 0.3957, decode.d4.loss_mask: 0.5975, decode.d4.loss_dice: 0.8720, decode.d5.loss_cls: 0.3915, decode.d5.loss_mask: 0.5989, decode.d5.loss_dice: 0.8699, decode.d6.loss_cls: 0.3838, decode.d6.loss_mask: 0.5974, decode.d6.loss_dice: 0.8639, decode.d7.loss_cls: 0.3837, decode.d7.loss_mask: 0.5947, decode.d7.loss_dice: 0.8661, decode.d8.loss_cls: 0.3822, decode.d8.loss_mask: 0.5947, decode.d8.loss_dice: 0.8673, loss: 19.8885, grad_norm: 48.6976 2023-11-12 04:33:23,217 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 04:33:23,217 - mmseg - INFO - Iter [41000/160000] lr: 7.438e-05, eta: 16:50:15, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3875, decode.loss_mask: 0.5821, decode.loss_dice: 0.8564, decode.d0.loss_cls: 1.3968, decode.d0.loss_mask: 0.6135, decode.d0.loss_dice: 0.9486, decode.d1.loss_cls: 0.4840, decode.d1.loss_mask: 0.6013, decode.d1.loss_dice: 0.9042, decode.d2.loss_cls: 0.4313, decode.d2.loss_mask: 0.5870, decode.d2.loss_dice: 0.8779, decode.d3.loss_cls: 0.4195, decode.d3.loss_mask: 0.5826, decode.d3.loss_dice: 0.8663, decode.d4.loss_cls: 0.3971, decode.d4.loss_mask: 0.5850, decode.d4.loss_dice: 0.8629, decode.d5.loss_cls: 0.3924, decode.d5.loss_mask: 0.5854, decode.d5.loss_dice: 0.8608, decode.d6.loss_cls: 0.3917, decode.d6.loss_mask: 0.5833, decode.d6.loss_dice: 0.8562, decode.d7.loss_cls: 0.3925, decode.d7.loss_mask: 0.5826, decode.d7.loss_dice: 0.8565, decode.d8.loss_cls: 0.3859, decode.d8.loss_mask: 0.5849, decode.d8.loss_dice: 0.8542, loss: 19.7106, grad_norm: 46.8667 2023-11-12 04:33:47,239 - mmseg - INFO - Iter [41050/160000] lr: 7.434e-05, eta: 16:49:45, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3924, decode.loss_mask: 0.5760, decode.loss_dice: 0.8527, decode.d0.loss_cls: 1.4272, decode.d0.loss_mask: 0.6121, decode.d0.loss_dice: 0.9323, decode.d1.loss_cls: 0.4913, decode.d1.loss_mask: 0.6027, decode.d1.loss_dice: 0.9049, decode.d2.loss_cls: 0.4226, decode.d2.loss_mask: 0.5852, decode.d2.loss_dice: 0.8757, decode.d3.loss_cls: 0.4112, decode.d3.loss_mask: 0.5778, decode.d3.loss_dice: 0.8570, decode.d4.loss_cls: 0.3978, decode.d4.loss_mask: 0.5772, decode.d4.loss_dice: 0.8568, decode.d5.loss_cls: 0.3931, decode.d5.loss_mask: 0.5766, decode.d5.loss_dice: 0.8587, decode.d6.loss_cls: 0.3886, decode.d6.loss_mask: 0.5759, decode.d6.loss_dice: 0.8513, decode.d7.loss_cls: 0.3897, decode.d7.loss_mask: 0.5756, decode.d7.loss_dice: 0.8513, decode.d8.loss_cls: 0.3924, decode.d8.loss_mask: 0.5756, decode.d8.loss_dice: 0.8546, loss: 19.6365, grad_norm: 43.6805 2023-11-12 04:34:11,143 - mmseg - INFO - Iter [41100/160000] lr: 7.431e-05, eta: 16:49:15, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4028, decode.loss_mask: 0.5832, decode.loss_dice: 0.8685, decode.d0.loss_cls: 1.4168, decode.d0.loss_mask: 0.6234, decode.d0.loss_dice: 0.9508, decode.d1.loss_cls: 0.4831, decode.d1.loss_mask: 0.6023, decode.d1.loss_dice: 0.9287, decode.d2.loss_cls: 0.4429, decode.d2.loss_mask: 0.5961, decode.d2.loss_dice: 0.9042, decode.d3.loss_cls: 0.4253, decode.d3.loss_mask: 0.5894, decode.d3.loss_dice: 0.8812, decode.d4.loss_cls: 0.4216, decode.d4.loss_mask: 0.5878, decode.d4.loss_dice: 0.8790, decode.d5.loss_cls: 0.4135, decode.d5.loss_mask: 0.5855, decode.d5.loss_dice: 0.8808, decode.d6.loss_cls: 0.4103, decode.d6.loss_mask: 0.5834, decode.d6.loss_dice: 0.8746, decode.d7.loss_cls: 0.4038, decode.d7.loss_mask: 0.5855, decode.d7.loss_dice: 0.8734, decode.d8.loss_cls: 0.4054, decode.d8.loss_mask: 0.5864, decode.d8.loss_dice: 0.8761, loss: 20.0661, grad_norm: 48.7861 2023-11-12 04:34:35,284 - mmseg - INFO - Iter [41150/160000] lr: 7.428e-05, eta: 16:48:46, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4230, decode.loss_mask: 0.5707, decode.loss_dice: 0.8706, decode.d0.loss_cls: 1.4571, decode.d0.loss_mask: 0.6029, decode.d0.loss_dice: 0.9681, decode.d1.loss_cls: 0.5117, decode.d1.loss_mask: 0.5938, decode.d1.loss_dice: 0.9291, decode.d2.loss_cls: 0.4722, decode.d2.loss_mask: 0.5801, decode.d2.loss_dice: 0.8980, decode.d3.loss_cls: 0.4489, decode.d3.loss_mask: 0.5723, decode.d3.loss_dice: 0.8777, decode.d4.loss_cls: 0.4386, decode.d4.loss_mask: 0.5700, decode.d4.loss_dice: 0.8825, decode.d5.loss_cls: 0.4291, decode.d5.loss_mask: 0.5709, decode.d5.loss_dice: 0.8811, decode.d6.loss_cls: 0.4360, decode.d6.loss_mask: 0.5694, decode.d6.loss_dice: 0.8671, decode.d7.loss_cls: 0.4270, decode.d7.loss_mask: 0.5720, decode.d7.loss_dice: 0.8719, decode.d8.loss_cls: 0.4226, decode.d8.loss_mask: 0.5717, decode.d8.loss_dice: 0.8715, loss: 20.1576, grad_norm: 50.4438 2023-11-12 04:34:59,523 - mmseg - INFO - Iter [41200/160000] lr: 7.425e-05, eta: 16:48:17, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4031, decode.loss_mask: 0.5742, decode.loss_dice: 0.8875, decode.d0.loss_cls: 1.4561, decode.d0.loss_mask: 0.5979, decode.d0.loss_dice: 0.9775, decode.d1.loss_cls: 0.5002, decode.d1.loss_mask: 0.5861, decode.d1.loss_dice: 0.9422, decode.d2.loss_cls: 0.4449, decode.d2.loss_mask: 0.5774, decode.d2.loss_dice: 0.9079, decode.d3.loss_cls: 0.4273, decode.d3.loss_mask: 0.5721, decode.d3.loss_dice: 0.8903, decode.d4.loss_cls: 0.4124, decode.d4.loss_mask: 0.5727, decode.d4.loss_dice: 0.8871, decode.d5.loss_cls: 0.4069, decode.d5.loss_mask: 0.5712, decode.d5.loss_dice: 0.8891, decode.d6.loss_cls: 0.4073, decode.d6.loss_mask: 0.5681, decode.d6.loss_dice: 0.8790, decode.d7.loss_cls: 0.4048, decode.d7.loss_mask: 0.5717, decode.d7.loss_dice: 0.8858, decode.d8.loss_cls: 0.4050, decode.d8.loss_mask: 0.5736, decode.d8.loss_dice: 0.8865, loss: 20.0659, grad_norm: 48.0260 2023-11-12 04:35:23,728 - mmseg - INFO - Iter [41250/160000] lr: 7.422e-05, eta: 16:47:48, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3840, decode.loss_mask: 0.5960, decode.loss_dice: 0.8430, decode.d0.loss_cls: 1.3715, decode.d0.loss_mask: 0.6347, decode.d0.loss_dice: 0.9222, decode.d1.loss_cls: 0.4821, decode.d1.loss_mask: 0.6170, decode.d1.loss_dice: 0.8925, decode.d2.loss_cls: 0.4318, decode.d2.loss_mask: 0.6031, decode.d2.loss_dice: 0.8656, decode.d3.loss_cls: 0.4108, decode.d3.loss_mask: 0.5967, decode.d3.loss_dice: 0.8442, decode.d4.loss_cls: 0.4040, decode.d4.loss_mask: 0.5975, decode.d4.loss_dice: 0.8439, decode.d5.loss_cls: 0.3949, decode.d5.loss_mask: 0.5986, decode.d5.loss_dice: 0.8479, decode.d6.loss_cls: 0.3962, decode.d6.loss_mask: 0.5953, decode.d6.loss_dice: 0.8326, decode.d7.loss_cls: 0.3922, decode.d7.loss_mask: 0.5936, decode.d7.loss_dice: 0.8367, decode.d8.loss_cls: 0.3875, decode.d8.loss_mask: 0.5952, decode.d8.loss_dice: 0.8424, loss: 19.6538, grad_norm: 45.7161 2023-11-12 04:35:47,827 - mmseg - INFO - Iter [41300/160000] lr: 7.419e-05, eta: 16:47:18, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3899, decode.loss_mask: 0.5730, decode.loss_dice: 0.8362, decode.d0.loss_cls: 1.4283, decode.d0.loss_mask: 0.6079, decode.d0.loss_dice: 0.9183, decode.d1.loss_cls: 0.4808, decode.d1.loss_mask: 0.5980, decode.d1.loss_dice: 0.8984, decode.d2.loss_cls: 0.4333, decode.d2.loss_mask: 0.5832, decode.d2.loss_dice: 0.8608, decode.d3.loss_cls: 0.4201, decode.d3.loss_mask: 0.5755, decode.d3.loss_dice: 0.8459, decode.d4.loss_cls: 0.4014, decode.d4.loss_mask: 0.5773, decode.d4.loss_dice: 0.8518, decode.d5.loss_cls: 0.4023, decode.d5.loss_mask: 0.5756, decode.d5.loss_dice: 0.8447, decode.d6.loss_cls: 0.3985, decode.d6.loss_mask: 0.5752, decode.d6.loss_dice: 0.8361, decode.d7.loss_cls: 0.3924, decode.d7.loss_mask: 0.5743, decode.d7.loss_dice: 0.8383, decode.d8.loss_cls: 0.3869, decode.d8.loss_mask: 0.5742, decode.d8.loss_dice: 0.8407, loss: 19.5192, grad_norm: 45.3413 2023-11-12 04:36:11,730 - mmseg - INFO - Iter [41350/160000] lr: 7.416e-05, eta: 16:46:48, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3730, decode.loss_mask: 0.5921, decode.loss_dice: 0.8470, decode.d0.loss_cls: 1.3987, decode.d0.loss_mask: 0.6212, decode.d0.loss_dice: 0.9346, decode.d1.loss_cls: 0.4694, decode.d1.loss_mask: 0.6101, decode.d1.loss_dice: 0.9014, decode.d2.loss_cls: 0.4182, decode.d2.loss_mask: 0.5982, decode.d2.loss_dice: 0.8741, decode.d3.loss_cls: 0.4052, decode.d3.loss_mask: 0.5899, decode.d3.loss_dice: 0.8525, decode.d4.loss_cls: 0.3907, decode.d4.loss_mask: 0.5891, decode.d4.loss_dice: 0.8560, decode.d5.loss_cls: 0.3913, decode.d5.loss_mask: 0.5905, decode.d5.loss_dice: 0.8487, decode.d6.loss_cls: 0.3822, decode.d6.loss_mask: 0.5877, decode.d6.loss_dice: 0.8419, decode.d7.loss_cls: 0.3811, decode.d7.loss_mask: 0.5876, decode.d7.loss_dice: 0.8479, decode.d8.loss_cls: 0.3816, decode.d8.loss_mask: 0.5893, decode.d8.loss_dice: 0.8487, loss: 19.5999, grad_norm: 46.4394 2023-11-12 04:36:35,695 - mmseg - INFO - Iter [41400/160000] lr: 7.413e-05, eta: 16:46:19, time: 0.479, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4038, decode.loss_mask: 0.5940, decode.loss_dice: 0.8639, decode.d0.loss_cls: 1.4173, decode.d0.loss_mask: 0.6285, decode.d0.loss_dice: 0.9600, decode.d1.loss_cls: 0.4854, decode.d1.loss_mask: 0.6195, decode.d1.loss_dice: 0.9240, decode.d2.loss_cls: 0.4372, decode.d2.loss_mask: 0.6036, decode.d2.loss_dice: 0.8971, decode.d3.loss_cls: 0.4154, decode.d3.loss_mask: 0.5981, decode.d3.loss_dice: 0.8756, decode.d4.loss_cls: 0.4046, decode.d4.loss_mask: 0.5994, decode.d4.loss_dice: 0.8756, decode.d5.loss_cls: 0.4128, decode.d5.loss_mask: 0.5948, decode.d5.loss_dice: 0.8740, decode.d6.loss_cls: 0.4081, decode.d6.loss_mask: 0.5940, decode.d6.loss_dice: 0.8605, decode.d7.loss_cls: 0.4044, decode.d7.loss_mask: 0.5960, decode.d7.loss_dice: 0.8669, decode.d8.loss_cls: 0.4032, decode.d8.loss_mask: 0.5949, decode.d8.loss_dice: 0.8715, loss: 20.0840, grad_norm: 48.5909 2023-11-12 04:36:59,733 - mmseg - INFO - Iter [41450/160000] lr: 7.409e-05, eta: 16:45:49, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3799, decode.loss_mask: 0.5814, decode.loss_dice: 0.8434, decode.d0.loss_cls: 1.3977, decode.d0.loss_mask: 0.6178, decode.d0.loss_dice: 0.9369, decode.d1.loss_cls: 0.4714, decode.d1.loss_mask: 0.6064, decode.d1.loss_dice: 0.8914, decode.d2.loss_cls: 0.4249, decode.d2.loss_mask: 0.5909, decode.d2.loss_dice: 0.8681, decode.d3.loss_cls: 0.4022, decode.d3.loss_mask: 0.5847, decode.d3.loss_dice: 0.8470, decode.d4.loss_cls: 0.3898, decode.d4.loss_mask: 0.5845, decode.d4.loss_dice: 0.8443, decode.d5.loss_cls: 0.3860, decode.d5.loss_mask: 0.5865, decode.d5.loss_dice: 0.8445, decode.d6.loss_cls: 0.3842, decode.d6.loss_mask: 0.5835, decode.d6.loss_dice: 0.8452, decode.d7.loss_cls: 0.3823, decode.d7.loss_mask: 0.5821, decode.d7.loss_dice: 0.8420, decode.d8.loss_cls: 0.3820, decode.d8.loss_mask: 0.5819, decode.d8.loss_dice: 0.8434, loss: 19.5064, grad_norm: 49.9607 2023-11-12 04:37:23,685 - mmseg - INFO - Iter [41500/160000] lr: 7.406e-05, eta: 16:45:19, time: 0.479, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4204, decode.loss_mask: 0.5547, decode.loss_dice: 0.8634, decode.d0.loss_cls: 1.4427, decode.d0.loss_mask: 0.5914, decode.d0.loss_dice: 0.9523, decode.d1.loss_cls: 0.5104, decode.d1.loss_mask: 0.5780, decode.d1.loss_dice: 0.9257, decode.d2.loss_cls: 0.4595, decode.d2.loss_mask: 0.5697, decode.d2.loss_dice: 0.8906, decode.d3.loss_cls: 0.4427, decode.d3.loss_mask: 0.5626, decode.d3.loss_dice: 0.8785, decode.d4.loss_cls: 0.4276, decode.d4.loss_mask: 0.5621, decode.d4.loss_dice: 0.8749, decode.d5.loss_cls: 0.4251, decode.d5.loss_mask: 0.5592, decode.d5.loss_dice: 0.8686, decode.d6.loss_cls: 0.4261, decode.d6.loss_mask: 0.5529, decode.d6.loss_dice: 0.8602, decode.d7.loss_cls: 0.4217, decode.d7.loss_mask: 0.5534, decode.d7.loss_dice: 0.8676, decode.d8.loss_cls: 0.4217, decode.d8.loss_mask: 0.5554, decode.d8.loss_dice: 0.8647, loss: 19.8838, grad_norm: 43.9093 2023-11-12 04:37:47,671 - mmseg - INFO - Iter [41550/160000] lr: 7.403e-05, eta: 16:44:50, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4013, decode.loss_mask: 0.6064, decode.loss_dice: 0.8566, decode.d0.loss_cls: 1.3961, decode.d0.loss_mask: 0.6505, decode.d0.loss_dice: 0.9438, decode.d1.loss_cls: 0.4913, decode.d1.loss_mask: 0.6334, decode.d1.loss_dice: 0.9088, decode.d2.loss_cls: 0.4398, decode.d2.loss_mask: 0.6201, decode.d2.loss_dice: 0.8738, decode.d3.loss_cls: 0.4211, decode.d3.loss_mask: 0.6110, decode.d3.loss_dice: 0.8597, decode.d4.loss_cls: 0.4142, decode.d4.loss_mask: 0.6093, decode.d4.loss_dice: 0.8638, decode.d5.loss_cls: 0.4055, decode.d5.loss_mask: 0.6120, decode.d5.loss_dice: 0.8697, decode.d6.loss_cls: 0.4032, decode.d6.loss_mask: 0.6083, decode.d6.loss_dice: 0.8595, decode.d7.loss_cls: 0.4029, decode.d7.loss_mask: 0.6078, decode.d7.loss_dice: 0.8597, decode.d8.loss_cls: 0.4034, decode.d8.loss_mask: 0.6052, decode.d8.loss_dice: 0.8608, loss: 20.0989, grad_norm: 46.9631 2023-11-12 04:38:11,694 - mmseg - INFO - Iter [41600/160000] lr: 7.400e-05, eta: 16:44:20, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4107, decode.loss_mask: 0.5705, decode.loss_dice: 0.8629, decode.d0.loss_cls: 1.4482, decode.d0.loss_mask: 0.5975, decode.d0.loss_dice: 0.9535, decode.d1.loss_cls: 0.5137, decode.d1.loss_mask: 0.5861, decode.d1.loss_dice: 0.9197, decode.d2.loss_cls: 0.4641, decode.d2.loss_mask: 0.5772, decode.d2.loss_dice: 0.8919, decode.d3.loss_cls: 0.4371, decode.d3.loss_mask: 0.5737, decode.d3.loss_dice: 0.8670, decode.d4.loss_cls: 0.4268, decode.d4.loss_mask: 0.5732, decode.d4.loss_dice: 0.8681, decode.d5.loss_cls: 0.4219, decode.d5.loss_mask: 0.5720, decode.d5.loss_dice: 0.8688, decode.d6.loss_cls: 0.4193, decode.d6.loss_mask: 0.5666, decode.d6.loss_dice: 0.8547, decode.d7.loss_cls: 0.4171, decode.d7.loss_mask: 0.5683, decode.d7.loss_dice: 0.8579, decode.d8.loss_cls: 0.4084, decode.d8.loss_mask: 0.5701, decode.d8.loss_dice: 0.8588, loss: 19.9257, grad_norm: 47.8640 2023-11-12 04:38:35,756 - mmseg - INFO - Iter [41650/160000] lr: 7.397e-05, eta: 16:43:51, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4006, decode.loss_mask: 0.5813, decode.loss_dice: 0.8899, decode.d0.loss_cls: 1.4065, decode.d0.loss_mask: 0.6265, decode.d0.loss_dice: 0.9800, decode.d1.loss_cls: 0.4909, decode.d1.loss_mask: 0.6060, decode.d1.loss_dice: 0.9438, decode.d2.loss_cls: 0.4473, decode.d2.loss_mask: 0.5977, decode.d2.loss_dice: 0.9257, decode.d3.loss_cls: 0.4160, decode.d3.loss_mask: 0.5874, decode.d3.loss_dice: 0.8969, decode.d4.loss_cls: 0.4190, decode.d4.loss_mask: 0.5843, decode.d4.loss_dice: 0.8971, decode.d5.loss_cls: 0.4149, decode.d5.loss_mask: 0.5860, decode.d5.loss_dice: 0.8940, decode.d6.loss_cls: 0.4023, decode.d6.loss_mask: 0.5827, decode.d6.loss_dice: 0.8834, decode.d7.loss_cls: 0.4010, decode.d7.loss_mask: 0.5828, decode.d7.loss_dice: 0.8894, decode.d8.loss_cls: 0.3974, decode.d8.loss_mask: 0.5831, decode.d8.loss_dice: 0.8952, loss: 20.2092, grad_norm: 49.1657 2023-11-12 04:39:02,394 - mmseg - INFO - Iter [41700/160000] lr: 7.394e-05, eta: 16:43:29, time: 0.533, data_time: 0.060, memory: 41146, decode.loss_cls: 0.3618, decode.loss_mask: 0.5696, decode.loss_dice: 0.8469, decode.d0.loss_cls: 1.4173, decode.d0.loss_mask: 0.5974, decode.d0.loss_dice: 0.9282, decode.d1.loss_cls: 0.4595, decode.d1.loss_mask: 0.5885, decode.d1.loss_dice: 0.8992, decode.d2.loss_cls: 0.4037, decode.d2.loss_mask: 0.5740, decode.d2.loss_dice: 0.8744, decode.d3.loss_cls: 0.3892, decode.d3.loss_mask: 0.5698, decode.d3.loss_dice: 0.8543, decode.d4.loss_cls: 0.3754, decode.d4.loss_mask: 0.5709, decode.d4.loss_dice: 0.8574, decode.d5.loss_cls: 0.3731, decode.d5.loss_mask: 0.5707, decode.d5.loss_dice: 0.8545, decode.d6.loss_cls: 0.3653, decode.d6.loss_mask: 0.5684, decode.d6.loss_dice: 0.8452, decode.d7.loss_cls: 0.3684, decode.d7.loss_mask: 0.5677, decode.d7.loss_dice: 0.8510, decode.d8.loss_cls: 0.3687, decode.d8.loss_mask: 0.5663, decode.d8.loss_dice: 0.8446, loss: 19.2815, grad_norm: 44.1070 2023-11-12 04:39:26,353 - mmseg - INFO - Iter [41750/160000] lr: 7.391e-05, eta: 16:42:59, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3824, decode.loss_mask: 0.5624, decode.loss_dice: 0.8370, decode.d0.loss_cls: 1.4194, decode.d0.loss_mask: 0.5956, decode.d0.loss_dice: 0.9382, decode.d1.loss_cls: 0.4790, decode.d1.loss_mask: 0.5832, decode.d1.loss_dice: 0.8938, decode.d2.loss_cls: 0.4209, decode.d2.loss_mask: 0.5713, decode.d2.loss_dice: 0.8641, decode.d3.loss_cls: 0.4012, decode.d3.loss_mask: 0.5626, decode.d3.loss_dice: 0.8433, decode.d4.loss_cls: 0.3951, decode.d4.loss_mask: 0.5616, decode.d4.loss_dice: 0.8424, decode.d5.loss_cls: 0.3911, decode.d5.loss_mask: 0.5607, decode.d5.loss_dice: 0.8386, decode.d6.loss_cls: 0.3867, decode.d6.loss_mask: 0.5617, decode.d6.loss_dice: 0.8348, decode.d7.loss_cls: 0.3822, decode.d7.loss_mask: 0.5611, decode.d7.loss_dice: 0.8349, decode.d8.loss_cls: 0.3815, decode.d8.loss_mask: 0.5611, decode.d8.loss_dice: 0.8396, loss: 19.2879, grad_norm: 44.2195 2023-11-12 04:39:50,218 - mmseg - INFO - Iter [41800/160000] lr: 7.388e-05, eta: 16:42:29, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3687, decode.loss_mask: 0.5782, decode.loss_dice: 0.8453, decode.d0.loss_cls: 1.3673, decode.d0.loss_mask: 0.6139, decode.d0.loss_dice: 0.9281, decode.d1.loss_cls: 0.4613, decode.d1.loss_mask: 0.5984, decode.d1.loss_dice: 0.8905, decode.d2.loss_cls: 0.4064, decode.d2.loss_mask: 0.5899, decode.d2.loss_dice: 0.8667, decode.d3.loss_cls: 0.3883, decode.d3.loss_mask: 0.5788, decode.d3.loss_dice: 0.8522, decode.d4.loss_cls: 0.3781, decode.d4.loss_mask: 0.5809, decode.d4.loss_dice: 0.8524, decode.d5.loss_cls: 0.3734, decode.d5.loss_mask: 0.5793, decode.d5.loss_dice: 0.8507, decode.d6.loss_cls: 0.3696, decode.d6.loss_mask: 0.5778, decode.d6.loss_dice: 0.8512, decode.d7.loss_cls: 0.3692, decode.d7.loss_mask: 0.5782, decode.d7.loss_dice: 0.8479, decode.d8.loss_cls: 0.3634, decode.d8.loss_mask: 0.5778, decode.d8.loss_dice: 0.8500, loss: 19.3336, grad_norm: 42.4025 2023-11-12 04:40:14,151 - mmseg - INFO - Iter [41850/160000] lr: 7.384e-05, eta: 16:41:59, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3854, decode.loss_mask: 0.5854, decode.loss_dice: 0.8344, decode.d0.loss_cls: 1.3896, decode.d0.loss_mask: 0.6163, decode.d0.loss_dice: 0.9134, decode.d1.loss_cls: 0.4668, decode.d1.loss_mask: 0.6027, decode.d1.loss_dice: 0.8941, decode.d2.loss_cls: 0.4234, decode.d2.loss_mask: 0.5940, decode.d2.loss_dice: 0.8631, decode.d3.loss_cls: 0.3980, decode.d3.loss_mask: 0.5914, decode.d3.loss_dice: 0.8437, decode.d4.loss_cls: 0.3914, decode.d4.loss_mask: 0.5907, decode.d4.loss_dice: 0.8459, decode.d5.loss_cls: 0.3931, decode.d5.loss_mask: 0.5877, decode.d5.loss_dice: 0.8489, decode.d6.loss_cls: 0.3913, decode.d6.loss_mask: 0.5844, decode.d6.loss_dice: 0.8364, decode.d7.loss_cls: 0.3879, decode.d7.loss_mask: 0.5833, decode.d7.loss_dice: 0.8387, decode.d8.loss_cls: 0.3823, decode.d8.loss_mask: 0.5845, decode.d8.loss_dice: 0.8378, loss: 19.4861, grad_norm: 47.0993 2023-11-12 04:40:38,024 - mmseg - INFO - Iter [41900/160000] lr: 7.381e-05, eta: 16:41:30, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3857, decode.loss_mask: 0.5748, decode.loss_dice: 0.8545, decode.d0.loss_cls: 1.3933, decode.d0.loss_mask: 0.6185, decode.d0.loss_dice: 0.9389, decode.d1.loss_cls: 0.4772, decode.d1.loss_mask: 0.5915, decode.d1.loss_dice: 0.9097, decode.d2.loss_cls: 0.4312, decode.d2.loss_mask: 0.5803, decode.d2.loss_dice: 0.8795, decode.d3.loss_cls: 0.4081, decode.d3.loss_mask: 0.5758, decode.d3.loss_dice: 0.8582, decode.d4.loss_cls: 0.3946, decode.d4.loss_mask: 0.5760, decode.d4.loss_dice: 0.8611, decode.d5.loss_cls: 0.3968, decode.d5.loss_mask: 0.5729, decode.d5.loss_dice: 0.8601, decode.d6.loss_cls: 0.3908, decode.d6.loss_mask: 0.5744, decode.d6.loss_dice: 0.8483, decode.d7.loss_cls: 0.3821, decode.d7.loss_mask: 0.5747, decode.d7.loss_dice: 0.8526, decode.d8.loss_cls: 0.3826, decode.d8.loss_mask: 0.5743, decode.d8.loss_dice: 0.8568, loss: 19.5752, grad_norm: 50.1504 2023-11-12 04:41:01,934 - mmseg - INFO - Iter [41950/160000] lr: 7.378e-05, eta: 16:41:00, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3667, decode.loss_mask: 0.5980, decode.loss_dice: 0.8494, decode.d0.loss_cls: 1.3845, decode.d0.loss_mask: 0.6323, decode.d0.loss_dice: 0.9466, decode.d1.loss_cls: 0.4583, decode.d1.loss_mask: 0.6254, decode.d1.loss_dice: 0.9095, decode.d2.loss_cls: 0.4169, decode.d2.loss_mask: 0.6104, decode.d2.loss_dice: 0.8826, decode.d3.loss_cls: 0.3944, decode.d3.loss_mask: 0.5977, decode.d3.loss_dice: 0.8636, decode.d4.loss_cls: 0.3737, decode.d4.loss_mask: 0.6051, decode.d4.loss_dice: 0.8679, decode.d5.loss_cls: 0.3714, decode.d5.loss_mask: 0.6006, decode.d5.loss_dice: 0.8600, decode.d6.loss_cls: 0.3730, decode.d6.loss_mask: 0.5984, decode.d6.loss_dice: 0.8523, decode.d7.loss_cls: 0.3688, decode.d7.loss_mask: 0.5980, decode.d7.loss_dice: 0.8578, decode.d8.loss_cls: 0.3676, decode.d8.loss_mask: 0.5971, decode.d8.loss_dice: 0.8506, loss: 19.6784, grad_norm: 48.3353 2023-11-12 04:41:26,065 - mmseg - INFO - Saving checkpoint at 42000 iterations 2023-11-12 04:41:30,202 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 04:41:30,202 - mmseg - INFO - Iter [42000/160000] lr: 7.375e-05, eta: 16:40:42, time: 0.565, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4066, decode.loss_mask: 0.5784, decode.loss_dice: 0.8888, decode.d0.loss_cls: 1.4059, decode.d0.loss_mask: 0.6149, decode.d0.loss_dice: 0.9728, decode.d1.loss_cls: 0.5101, decode.d1.loss_mask: 0.5975, decode.d1.loss_dice: 0.9368, decode.d2.loss_cls: 0.4543, decode.d2.loss_mask: 0.5823, decode.d2.loss_dice: 0.9078, decode.d3.loss_cls: 0.4379, decode.d3.loss_mask: 0.5790, decode.d3.loss_dice: 0.8891, decode.d4.loss_cls: 0.4230, decode.d4.loss_mask: 0.5794, decode.d4.loss_dice: 0.8922, decode.d5.loss_cls: 0.4243, decode.d5.loss_mask: 0.5783, decode.d5.loss_dice: 0.8890, decode.d6.loss_cls: 0.4112, decode.d6.loss_mask: 0.5783, decode.d6.loss_dice: 0.8849, decode.d7.loss_cls: 0.4086, decode.d7.loss_mask: 0.5771, decode.d7.loss_dice: 0.8854, decode.d8.loss_cls: 0.4092, decode.d8.loss_mask: 0.5792, decode.d8.loss_dice: 0.8887, loss: 20.1712, grad_norm: 48.9411 2023-11-12 04:41:52,349 - mmseg - INFO - per class results: 2023-11-12 04:41:52,354 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.45 | 88.15 | | building | 82.89 | 90.69 | | sky | 94.88 | 97.19 | | floor | 84.08 | 89.68 | | tree | 75.8 | 87.67 | | ceiling | 85.28 | 91.8 | | road | 84.83 | 92.05 | | bed | 90.03 | 94.78 | | windowpane | 64.12 | 79.67 | | grass | 68.97 | 78.01 | | cabinet | 62.72 | 75.77 | | sidewalk | 67.73 | 82.34 | | person | 84.6 | 92.74 | | earth | 31.13 | 43.17 | | door | 51.77 | 67.21 | | table | 62.02 | 78.39 | | mountain | 62.77 | 74.12 | | plant | 52.39 | 70.18 | | curtain | 77.19 | 89.8 | | chair | 60.24 | 75.44 | | car | 86.3 | 92.93 | | water | 46.15 | 56.43 | | painting | 73.66 | 87.84 | | sofa | 71.66 | 89.06 | | shelf | 43.29 | 58.68 | | house | 38.67 | 63.28 | | sea | 55.17 | 90.38 | | mirror | 68.08 | 83.82 | | rug | 68.76 | 83.35 | | field | 27.1 | 47.87 | | armchair | 48.45 | 63.21 | | seat | 61.87 | 79.74 | | fence | 45.31 | 63.76 | | desk | 50.77 | 66.81 | | rock | 47.94 | 68.88 | | wardrobe | 45.4 | 73.46 | | lamp | 69.19 | 83.63 | | bathtub | 76.74 | 83.49 | | railing | 33.58 | 56.99 | | cushion | 64.0 | 77.92 | | base | 31.34 | 54.68 | | box | 26.81 | 44.3 | | column | 49.52 | 64.03 | | signboard | 37.98 | 53.91 | | chest of drawers | 49.94 | 73.87 | | counter | 30.76 | 36.07 | | sand | 38.93 | 51.48 | | sink | 72.88 | 81.73 | | skyscraper | 35.76 | 45.11 | | fireplace | 69.21 | 90.04 | | refrigerator | 78.57 | 92.29 | | grandstand | 43.88 | 62.34 | | path | 18.83 | 29.26 | | stairs | 39.34 | 48.56 | | runway | 71.16 | 81.51 | | case | 60.26 | 82.27 | | pool table | 94.83 | 97.54 | | pillow | 60.52 | 75.19 | | screen door | 77.05 | 93.24 | | stairway | 32.94 | 39.96 | | river | 30.39 | 60.01 | | bridge | 72.86 | 90.68 | | bookcase | 35.63 | 39.82 | | blind | 48.06 | 53.32 | | coffee table | 62.4 | 87.68 | | toilet | 89.66 | 94.72 | | flower | 40.71 | 61.88 | | book | 53.33 | 75.96 | | hill | 9.61 | 27.6 | | bench | 44.85 | 53.42 | | countertop | 52.97 | 71.46 | | stove | 82.43 | 92.59 | | palm | 57.09 | 79.15 | | kitchen island | 39.01 | 83.38 | | computer | 66.04 | 73.3 | | swivel chair | 37.65 | 61.7 | | boat | 76.21 | 87.69 | | bar | 19.26 | 20.39 | | arcade machine | 48.69 | 51.66 | | hovel | 35.65 | 49.69 | | bus | 91.95 | 96.71 | | towel | 67.47 | 82.95 | | light | 60.8 | 78.54 | | truck | 35.63 | 59.8 | | tower | 27.18 | 46.98 | | chandelier | 72.48 | 87.18 | | awning | 35.24 | 47.59 | | streetlight | 38.57 | 67.76 | | booth | 32.56 | 38.4 | | television receiver | 68.08 | 83.34 | | airplane | 60.84 | 66.47 | | dirt track | 2.82 | 40.56 | | apparel | 32.81 | 52.3 | | pole | 27.48 | 49.14 | | land | 6.61 | 9.38 | | bannister | 16.37 | 23.94 | | escalator | 42.29 | 57.38 | | ottoman | 58.21 | 76.3 | | bottle | 31.72 | 44.91 | | buffet | 47.19 | 59.35 | | poster | 22.44 | 36.14 | | stage | 26.54 | 37.83 | | van | 45.17 | 64.02 | | ship | 10.44 | 11.06 | | fountain | 18.66 | 21.76 | | conveyer belt | 50.59 | 76.41 | | canopy | 20.33 | 26.28 | | washer | 72.57 | 75.01 | | plaything | 40.58 | 68.53 | | swimming pool | 46.91 | 77.39 | | stool | 46.63 | 75.31 | | barrel | 66.49 | 74.72 | | basket | 40.07 | 55.01 | | waterfall | 58.83 | 87.97 | | tent | 94.76 | 98.2 | | bag | 23.38 | 34.02 | | minibike | 64.98 | 93.87 | | cradle | 85.78 | 97.85 | | oven | 21.48 | 58.69 | | ball | 24.91 | 28.68 | | food | 65.21 | 84.12 | | step | 9.47 | 13.81 | | tank | 58.66 | 65.94 | | trade name | 28.64 | 37.14 | | microwave | 41.01 | 45.56 | | pot | 48.61 | 57.25 | | animal | 70.08 | 71.91 | | bicycle | 63.62 | 84.99 | | lake | 0.0 | 0.0 | | dishwasher | 71.11 | 79.04 | | screen | 58.75 | 89.31 | | blanket | 28.04 | 35.33 | | sculpture | 65.1 | 84.98 | | hood | 60.04 | 75.53 | | sconce | 54.13 | 69.32 | | vase | 54.54 | 72.38 | | traffic light | 42.14 | 69.97 | | tray | 15.66 | 40.6 | | ashcan | 50.75 | 67.48 | | fan | 64.2 | 87.09 | | pier | 21.69 | 26.9 | | crt screen | 5.44 | 15.27 | | plate | 62.45 | 75.19 | | monitor | 7.29 | 12.12 | | bulletin board | 45.95 | 73.19 | | shower | 8.68 | 25.56 | | radiator | 72.41 | 84.51 | | glass | 21.94 | 27.14 | | clock | 36.78 | 46.51 | | flag | 49.59 | 58.55 | +---------------------+-------+-------+ 2023-11-12 04:41:52,354 - mmseg - INFO - Summary: 2023-11-12 04:41:52,354 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.55 | 50.59 | 65.12 | +-------+-------+-------+ 2023-11-12 04:41:52,354 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 04:41:52,355 - mmseg - INFO - Iter(val) [250] aAcc: 0.8355, mIoU: 0.5059, mAcc: 0.6512, IoU.wall: 0.7945, IoU.building: 0.8289, IoU.sky: 0.9488, IoU.floor: 0.8408, IoU.tree: 0.7580, IoU.ceiling: 0.8528, IoU.road: 0.8483, IoU.bed : 0.9003, IoU.windowpane: 0.6412, IoU.grass: 0.6897, IoU.cabinet: 0.6272, IoU.sidewalk: 0.6773, IoU.person: 0.8460, IoU.earth: 0.3113, IoU.door: 0.5177, IoU.table: 0.6202, IoU.mountain: 0.6277, IoU.plant: 0.5239, IoU.curtain: 0.7719, IoU.chair: 0.6024, IoU.car: 0.8630, IoU.water: 0.4615, IoU.painting: 0.7366, IoU.sofa: 0.7166, IoU.shelf: 0.4329, IoU.house: 0.3867, IoU.sea: 0.5517, IoU.mirror: 0.6808, IoU.rug: 0.6876, IoU.field: 0.2710, IoU.armchair: 0.4845, IoU.seat: 0.6187, IoU.fence: 0.4531, IoU.desk: 0.5077, IoU.rock: 0.4794, IoU.wardrobe: 0.4540, IoU.lamp: 0.6919, IoU.bathtub: 0.7674, IoU.railing: 0.3358, IoU.cushion: 0.6400, IoU.base: 0.3134, IoU.box: 0.2681, IoU.column: 0.4952, IoU.signboard: 0.3798, IoU.chest of drawers: 0.4994, IoU.counter: 0.3076, IoU.sand: 0.3893, IoU.sink: 0.7288, IoU.skyscraper: 0.3576, IoU.fireplace: 0.6921, IoU.refrigerator: 0.7857, IoU.grandstand: 0.4388, IoU.path: 0.1883, IoU.stairs: 0.3934, IoU.runway: 0.7116, IoU.case: 0.6026, IoU.pool table: 0.9483, IoU.pillow: 0.6052, IoU.screen door: 0.7705, IoU.stairway: 0.3294, IoU.river: 0.3039, IoU.bridge: 0.7286, IoU.bookcase: 0.3563, IoU.blind: 0.4806, IoU.coffee table: 0.6240, IoU.toilet: 0.8966, IoU.flower: 0.4071, IoU.book: 0.5333, IoU.hill: 0.0961, IoU.bench: 0.4485, IoU.countertop: 0.5297, IoU.stove: 0.8243, IoU.palm: 0.5709, IoU.kitchen island: 0.3901, IoU.computer: 0.6604, IoU.swivel chair: 0.3765, IoU.boat: 0.7621, IoU.bar: 0.1926, IoU.arcade machine: 0.4869, IoU.hovel: 0.3565, IoU.bus: 0.9195, IoU.towel: 0.6747, IoU.light: 0.6080, IoU.truck: 0.3563, IoU.tower: 0.2718, IoU.chandelier: 0.7248, IoU.awning: 0.3524, IoU.streetlight: 0.3857, IoU.booth: 0.3256, IoU.television receiver: 0.6808, IoU.airplane: 0.6084, IoU.dirt track: 0.0282, IoU.apparel: 0.3281, IoU.pole: 0.2748, IoU.land: 0.0661, IoU.bannister: 0.1637, IoU.escalator: 0.4229, IoU.ottoman: 0.5821, IoU.bottle: 0.3172, IoU.buffet: 0.4719, IoU.poster: 0.2244, IoU.stage: 0.2654, IoU.van: 0.4517, IoU.ship: 0.1044, IoU.fountain: 0.1866, IoU.conveyer belt: 0.5059, IoU.canopy: 0.2033, IoU.washer: 0.7257, IoU.plaything: 0.4058, IoU.swimming pool: 0.4691, IoU.stool: 0.4663, IoU.barrel: 0.6649, IoU.basket: 0.4007, IoU.waterfall: 0.5883, IoU.tent: 0.9476, IoU.bag: 0.2338, IoU.minibike: 0.6498, IoU.cradle: 0.8578, IoU.oven: 0.2148, IoU.ball: 0.2491, IoU.food: 0.6521, IoU.step: 0.0947, IoU.tank: 0.5866, IoU.trade name: 0.2864, IoU.microwave: 0.4101, IoU.pot: 0.4861, IoU.animal: 0.7008, IoU.bicycle: 0.6362, IoU.lake: 0.0000, IoU.dishwasher: 0.7111, IoU.screen: 0.5875, IoU.blanket: 0.2804, IoU.sculpture: 0.6510, IoU.hood: 0.6004, IoU.sconce: 0.5413, IoU.vase: 0.5454, IoU.traffic light: 0.4214, IoU.tray: 0.1566, IoU.ashcan: 0.5075, IoU.fan: 0.6420, IoU.pier: 0.2169, IoU.crt screen: 0.0544, IoU.plate: 0.6245, IoU.monitor: 0.0729, IoU.bulletin board: 0.4595, IoU.shower: 0.0868, IoU.radiator: 0.7241, IoU.glass: 0.2194, IoU.clock: 0.3678, IoU.flag: 0.4959, Acc.wall: 0.8815, Acc.building: 0.9069, Acc.sky: 0.9719, Acc.floor: 0.8968, Acc.tree: 0.8767, Acc.ceiling: 0.9180, Acc.road: 0.9205, Acc.bed : 0.9478, Acc.windowpane: 0.7967, Acc.grass: 0.7801, Acc.cabinet: 0.7577, Acc.sidewalk: 0.8234, Acc.person: 0.9274, Acc.earth: 0.4317, Acc.door: 0.6721, Acc.table: 0.7839, Acc.mountain: 0.7412, Acc.plant: 0.7018, Acc.curtain: 0.8980, Acc.chair: 0.7544, Acc.car: 0.9293, Acc.water: 0.5643, Acc.painting: 0.8784, Acc.sofa: 0.8906, Acc.shelf: 0.5868, Acc.house: 0.6328, Acc.sea: 0.9038, Acc.mirror: 0.8382, Acc.rug: 0.8335, Acc.field: 0.4787, Acc.armchair: 0.6321, Acc.seat: 0.7974, Acc.fence: 0.6376, Acc.desk: 0.6681, Acc.rock: 0.6888, Acc.wardrobe: 0.7346, Acc.lamp: 0.8363, Acc.bathtub: 0.8349, Acc.railing: 0.5699, Acc.cushion: 0.7792, Acc.base: 0.5468, Acc.box: 0.4430, Acc.column: 0.6403, Acc.signboard: 0.5391, Acc.chest of drawers: 0.7387, Acc.counter: 0.3607, Acc.sand: 0.5148, Acc.sink: 0.8173, Acc.skyscraper: 0.4511, Acc.fireplace: 0.9004, Acc.refrigerator: 0.9229, Acc.grandstand: 0.6234, Acc.path: 0.2926, Acc.stairs: 0.4856, Acc.runway: 0.8151, Acc.case: 0.8227, Acc.pool table: 0.9754, Acc.pillow: 0.7519, Acc.screen door: 0.9324, Acc.stairway: 0.3996, Acc.river: 0.6001, Acc.bridge: 0.9068, Acc.bookcase: 0.3982, Acc.blind: 0.5332, Acc.coffee table: 0.8768, Acc.toilet: 0.9472, Acc.flower: 0.6188, Acc.book: 0.7596, Acc.hill: 0.2760, Acc.bench: 0.5342, Acc.countertop: 0.7146, Acc.stove: 0.9259, Acc.palm: 0.7915, Acc.kitchen island: 0.8338, Acc.computer: 0.7330, Acc.swivel chair: 0.6170, Acc.boat: 0.8769, Acc.bar: 0.2039, Acc.arcade machine: 0.5166, Acc.hovel: 0.4969, Acc.bus: 0.9671, Acc.towel: 0.8295, Acc.light: 0.7854, Acc.truck: 0.5980, Acc.tower: 0.4698, Acc.chandelier: 0.8718, Acc.awning: 0.4759, Acc.streetlight: 0.6776, Acc.booth: 0.3840, Acc.television receiver: 0.8334, Acc.airplane: 0.6647, Acc.dirt track: 0.4056, Acc.apparel: 0.5230, Acc.pole: 0.4914, Acc.land: 0.0938, Acc.bannister: 0.2394, Acc.escalator: 0.5738, Acc.ottoman: 0.7630, Acc.bottle: 0.4491, Acc.buffet: 0.5935, Acc.poster: 0.3614, Acc.stage: 0.3783, Acc.van: 0.6402, Acc.ship: 0.1106, Acc.fountain: 0.2176, Acc.conveyer belt: 0.7641, Acc.canopy: 0.2628, Acc.washer: 0.7501, Acc.plaything: 0.6853, Acc.swimming pool: 0.7739, Acc.stool: 0.7531, Acc.barrel: 0.7472, Acc.basket: 0.5501, Acc.waterfall: 0.8797, Acc.tent: 0.9820, Acc.bag: 0.3402, Acc.minibike: 0.9387, Acc.cradle: 0.9785, Acc.oven: 0.5869, Acc.ball: 0.2868, Acc.food: 0.8412, Acc.step: 0.1381, Acc.tank: 0.6594, Acc.trade name: 0.3714, Acc.microwave: 0.4556, Acc.pot: 0.5725, Acc.animal: 0.7191, Acc.bicycle: 0.8499, Acc.lake: 0.0000, Acc.dishwasher: 0.7904, Acc.screen: 0.8931, Acc.blanket: 0.3533, Acc.sculpture: 0.8498, Acc.hood: 0.7553, Acc.sconce: 0.6932, Acc.vase: 0.7238, Acc.traffic light: 0.6997, Acc.tray: 0.4060, Acc.ashcan: 0.6748, Acc.fan: 0.8709, Acc.pier: 0.2690, Acc.crt screen: 0.1527, Acc.plate: 0.7519, Acc.monitor: 0.1212, Acc.bulletin board: 0.7319, Acc.shower: 0.2556, Acc.radiator: 0.8451, Acc.glass: 0.2714, Acc.clock: 0.4651, Acc.flag: 0.5855 2023-11-12 04:42:16,776 - mmseg - INFO - Iter [42050/160000] lr: 7.372e-05, eta: 16:41:16, time: 0.931, data_time: 0.457, memory: 41146, decode.loss_cls: 0.3959, decode.loss_mask: 0.5648, decode.loss_dice: 0.8516, decode.d0.loss_cls: 1.4255, decode.d0.loss_mask: 0.6000, decode.d0.loss_dice: 0.9478, decode.d1.loss_cls: 0.4908, decode.d1.loss_mask: 0.5860, decode.d1.loss_dice: 0.9058, decode.d2.loss_cls: 0.4380, decode.d2.loss_mask: 0.5757, decode.d2.loss_dice: 0.8796, decode.d3.loss_cls: 0.4183, decode.d3.loss_mask: 0.5690, decode.d3.loss_dice: 0.8622, decode.d4.loss_cls: 0.4118, decode.d4.loss_mask: 0.5668, decode.d4.loss_dice: 0.8605, decode.d5.loss_cls: 0.4067, decode.d5.loss_mask: 0.5676, decode.d5.loss_dice: 0.8572, decode.d6.loss_cls: 0.4060, decode.d6.loss_mask: 0.5670, decode.d6.loss_dice: 0.8477, decode.d7.loss_cls: 0.4026, decode.d7.loss_mask: 0.5631, decode.d7.loss_dice: 0.8493, decode.d8.loss_cls: 0.3999, decode.d8.loss_mask: 0.5633, decode.d8.loss_dice: 0.8542, loss: 19.6346, grad_norm: 47.1811 2023-11-12 04:42:41,596 - mmseg - INFO - Iter [42100/160000] lr: 7.369e-05, eta: 16:40:49, time: 0.496, data_time: 0.014, memory: 41146, decode.loss_cls: 0.4006, decode.loss_mask: 0.5830, decode.loss_dice: 0.8754, decode.d0.loss_cls: 1.4141, decode.d0.loss_mask: 0.6203, decode.d0.loss_dice: 0.9618, decode.d1.loss_cls: 0.4839, decode.d1.loss_mask: 0.6104, decode.d1.loss_dice: 0.9331, decode.d2.loss_cls: 0.4354, decode.d2.loss_mask: 0.5949, decode.d2.loss_dice: 0.8979, decode.d3.loss_cls: 0.4108, decode.d3.loss_mask: 0.5887, decode.d3.loss_dice: 0.8802, decode.d4.loss_cls: 0.4055, decode.d4.loss_mask: 0.5876, decode.d4.loss_dice: 0.8818, decode.d5.loss_cls: 0.4065, decode.d5.loss_mask: 0.5891, decode.d5.loss_dice: 0.8850, decode.d6.loss_cls: 0.3989, decode.d6.loss_mask: 0.5895, decode.d6.loss_dice: 0.8772, decode.d7.loss_cls: 0.4021, decode.d7.loss_mask: 0.5900, decode.d7.loss_dice: 0.8750, decode.d8.loss_cls: 0.3997, decode.d8.loss_mask: 0.5876, decode.d8.loss_dice: 0.8803, loss: 20.0463, grad_norm: 47.1191 2023-11-12 04:43:05,864 - mmseg - INFO - Iter [42150/160000] lr: 7.366e-05, eta: 16:40:20, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3973, decode.loss_mask: 0.5672, decode.loss_dice: 0.8616, decode.d0.loss_cls: 1.4211, decode.d0.loss_mask: 0.6104, decode.d0.loss_dice: 0.9587, decode.d1.loss_cls: 0.4835, decode.d1.loss_mask: 0.5904, decode.d1.loss_dice: 0.9281, decode.d2.loss_cls: 0.4326, decode.d2.loss_mask: 0.5795, decode.d2.loss_dice: 0.8877, decode.d3.loss_cls: 0.4140, decode.d3.loss_mask: 0.5741, decode.d3.loss_dice: 0.8691, decode.d4.loss_cls: 0.4078, decode.d4.loss_mask: 0.5747, decode.d4.loss_dice: 0.8662, decode.d5.loss_cls: 0.4023, decode.d5.loss_mask: 0.5704, decode.d5.loss_dice: 0.8737, decode.d6.loss_cls: 0.3986, decode.d6.loss_mask: 0.5734, decode.d6.loss_dice: 0.8669, decode.d7.loss_cls: 0.4003, decode.d7.loss_mask: 0.5721, decode.d7.loss_dice: 0.8641, decode.d8.loss_cls: 0.3955, decode.d8.loss_mask: 0.5695, decode.d8.loss_dice: 0.8633, loss: 19.7742, grad_norm: 45.9219 2023-11-12 04:43:29,833 - mmseg - INFO - Iter [42200/160000] lr: 7.363e-05, eta: 16:39:50, time: 0.479, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3830, decode.loss_mask: 0.5635, decode.loss_dice: 0.8257, decode.d0.loss_cls: 1.3986, decode.d0.loss_mask: 0.5975, decode.d0.loss_dice: 0.9075, decode.d1.loss_cls: 0.4696, decode.d1.loss_mask: 0.5804, decode.d1.loss_dice: 0.8784, decode.d2.loss_cls: 0.4272, decode.d2.loss_mask: 0.5679, decode.d2.loss_dice: 0.8433, decode.d3.loss_cls: 0.4086, decode.d3.loss_mask: 0.5630, decode.d3.loss_dice: 0.8316, decode.d4.loss_cls: 0.4007, decode.d4.loss_mask: 0.5613, decode.d4.loss_dice: 0.8329, decode.d5.loss_cls: 0.3907, decode.d5.loss_mask: 0.5592, decode.d5.loss_dice: 0.8307, decode.d6.loss_cls: 0.3916, decode.d6.loss_mask: 0.5620, decode.d6.loss_dice: 0.8236, decode.d7.loss_cls: 0.3819, decode.d7.loss_mask: 0.5629, decode.d7.loss_dice: 0.8297, decode.d8.loss_cls: 0.3798, decode.d8.loss_mask: 0.5628, decode.d8.loss_dice: 0.8309, loss: 19.1465, grad_norm: 46.6657 2023-11-12 04:43:53,740 - mmseg - INFO - Iter [42250/160000] lr: 7.359e-05, eta: 16:39:21, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3772, decode.loss_mask: 0.6023, decode.loss_dice: 0.8518, decode.d0.loss_cls: 1.3722, decode.d0.loss_mask: 0.6369, decode.d0.loss_dice: 0.9444, decode.d1.loss_cls: 0.4745, decode.d1.loss_mask: 0.6231, decode.d1.loss_dice: 0.9110, decode.d2.loss_cls: 0.4253, decode.d2.loss_mask: 0.6109, decode.d2.loss_dice: 0.8782, decode.d3.loss_cls: 0.4053, decode.d3.loss_mask: 0.6024, decode.d3.loss_dice: 0.8599, decode.d4.loss_cls: 0.3904, decode.d4.loss_mask: 0.6055, decode.d4.loss_dice: 0.8662, decode.d5.loss_cls: 0.3892, decode.d5.loss_mask: 0.6027, decode.d5.loss_dice: 0.8598, decode.d6.loss_cls: 0.3873, decode.d6.loss_mask: 0.6012, decode.d6.loss_dice: 0.8535, decode.d7.loss_cls: 0.3789, decode.d7.loss_mask: 0.6031, decode.d7.loss_dice: 0.8570, decode.d8.loss_cls: 0.3773, decode.d8.loss_mask: 0.6046, decode.d8.loss_dice: 0.8552, loss: 19.8075, grad_norm: 49.1412 2023-11-12 04:44:17,849 - mmseg - INFO - Iter [42300/160000] lr: 7.356e-05, eta: 16:38:51, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3829, decode.loss_mask: 0.5731, decode.loss_dice: 0.8569, decode.d0.loss_cls: 1.4002, decode.d0.loss_mask: 0.6131, decode.d0.loss_dice: 0.9552, decode.d1.loss_cls: 0.4761, decode.d1.loss_mask: 0.6008, decode.d1.loss_dice: 0.9235, decode.d2.loss_cls: 0.4202, decode.d2.loss_mask: 0.5847, decode.d2.loss_dice: 0.8851, decode.d3.loss_cls: 0.4038, decode.d3.loss_mask: 0.5779, decode.d3.loss_dice: 0.8648, decode.d4.loss_cls: 0.3952, decode.d4.loss_mask: 0.5749, decode.d4.loss_dice: 0.8634, decode.d5.loss_cls: 0.3910, decode.d5.loss_mask: 0.5752, decode.d5.loss_dice: 0.8662, decode.d6.loss_cls: 0.3920, decode.d6.loss_mask: 0.5703, decode.d6.loss_dice: 0.8575, decode.d7.loss_cls: 0.3893, decode.d7.loss_mask: 0.5716, decode.d7.loss_dice: 0.8598, decode.d8.loss_cls: 0.3886, decode.d8.loss_mask: 0.5735, decode.d8.loss_dice: 0.8596, loss: 19.6462, grad_norm: 47.5512 2023-11-12 04:44:41,780 - mmseg - INFO - Iter [42350/160000] lr: 7.353e-05, eta: 16:38:22, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3891, decode.loss_mask: 0.5803, decode.loss_dice: 0.8395, decode.d0.loss_cls: 1.4002, decode.d0.loss_mask: 0.6182, decode.d0.loss_dice: 0.9252, decode.d1.loss_cls: 0.4733, decode.d1.loss_mask: 0.6040, decode.d1.loss_dice: 0.9027, decode.d2.loss_cls: 0.4308, decode.d2.loss_mask: 0.5889, decode.d2.loss_dice: 0.8708, decode.d3.loss_cls: 0.4099, decode.d3.loss_mask: 0.5850, decode.d3.loss_dice: 0.8470, decode.d4.loss_cls: 0.4016, decode.d4.loss_mask: 0.5821, decode.d4.loss_dice: 0.8499, decode.d5.loss_cls: 0.3993, decode.d5.loss_mask: 0.5838, decode.d5.loss_dice: 0.8442, decode.d6.loss_cls: 0.3976, decode.d6.loss_mask: 0.5803, decode.d6.loss_dice: 0.8414, decode.d7.loss_cls: 0.3943, decode.d7.loss_mask: 0.5800, decode.d7.loss_dice: 0.8427, decode.d8.loss_cls: 0.3858, decode.d8.loss_mask: 0.5790, decode.d8.loss_dice: 0.8416, loss: 19.5687, grad_norm: 48.6730 2023-11-12 04:45:05,873 - mmseg - INFO - Iter [42400/160000] lr: 7.350e-05, eta: 16:37:52, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3824, decode.loss_mask: 0.5685, decode.loss_dice: 0.8329, decode.d0.loss_cls: 1.3975, decode.d0.loss_mask: 0.6084, decode.d0.loss_dice: 0.9255, decode.d1.loss_cls: 0.4788, decode.d1.loss_mask: 0.5909, decode.d1.loss_dice: 0.8881, decode.d2.loss_cls: 0.4256, decode.d2.loss_mask: 0.5775, decode.d2.loss_dice: 0.8617, decode.d3.loss_cls: 0.4040, decode.d3.loss_mask: 0.5687, decode.d3.loss_dice: 0.8382, decode.d4.loss_cls: 0.4023, decode.d4.loss_mask: 0.5694, decode.d4.loss_dice: 0.8394, decode.d5.loss_cls: 0.3967, decode.d5.loss_mask: 0.5680, decode.d5.loss_dice: 0.8362, decode.d6.loss_cls: 0.3900, decode.d6.loss_mask: 0.5666, decode.d6.loss_dice: 0.8279, decode.d7.loss_cls: 0.3897, decode.d7.loss_mask: 0.5684, decode.d7.loss_dice: 0.8287, decode.d8.loss_cls: 0.3877, decode.d8.loss_mask: 0.5696, decode.d8.loss_dice: 0.8317, loss: 19.3212, grad_norm: 46.0160 2023-11-12 04:45:29,880 - mmseg - INFO - Iter [42450/160000] lr: 7.347e-05, eta: 16:37:23, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3678, decode.loss_mask: 0.5842, decode.loss_dice: 0.8352, decode.d0.loss_cls: 1.3724, decode.d0.loss_mask: 0.6198, decode.d0.loss_dice: 0.9112, decode.d1.loss_cls: 0.4539, decode.d1.loss_mask: 0.6103, decode.d1.loss_dice: 0.8913, decode.d2.loss_cls: 0.4004, decode.d2.loss_mask: 0.5952, decode.d2.loss_dice: 0.8646, decode.d3.loss_cls: 0.3835, decode.d3.loss_mask: 0.5868, decode.d3.loss_dice: 0.8443, decode.d4.loss_cls: 0.3755, decode.d4.loss_mask: 0.5867, decode.d4.loss_dice: 0.8391, decode.d5.loss_cls: 0.3709, decode.d5.loss_mask: 0.5852, decode.d5.loss_dice: 0.8406, decode.d6.loss_cls: 0.3703, decode.d6.loss_mask: 0.5840, decode.d6.loss_dice: 0.8374, decode.d7.loss_cls: 0.3663, decode.d7.loss_mask: 0.5838, decode.d7.loss_dice: 0.8352, decode.d8.loss_cls: 0.3689, decode.d8.loss_mask: 0.5830, decode.d8.loss_dice: 0.8404, loss: 19.2884, grad_norm: 46.0685 2023-11-12 04:45:54,316 - mmseg - INFO - Iter [42500/160000] lr: 7.344e-05, eta: 16:36:55, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3678, decode.loss_mask: 0.5763, decode.loss_dice: 0.8592, decode.d0.loss_cls: 1.3635, decode.d0.loss_mask: 0.6105, decode.d0.loss_dice: 0.9371, decode.d1.loss_cls: 0.4598, decode.d1.loss_mask: 0.5971, decode.d1.loss_dice: 0.9110, decode.d2.loss_cls: 0.4136, decode.d2.loss_mask: 0.5854, decode.d2.loss_dice: 0.8823, decode.d3.loss_cls: 0.3879, decode.d3.loss_mask: 0.5741, decode.d3.loss_dice: 0.8615, decode.d4.loss_cls: 0.3767, decode.d4.loss_mask: 0.5744, decode.d4.loss_dice: 0.8663, decode.d5.loss_cls: 0.3745, decode.d5.loss_mask: 0.5742, decode.d5.loss_dice: 0.8630, decode.d6.loss_cls: 0.3766, decode.d6.loss_mask: 0.5751, decode.d6.loss_dice: 0.8539, decode.d7.loss_cls: 0.3696, decode.d7.loss_mask: 0.5755, decode.d7.loss_dice: 0.8603, decode.d8.loss_cls: 0.3695, decode.d8.loss_mask: 0.5752, decode.d8.loss_dice: 0.8625, loss: 19.4347, grad_norm: 47.0889 2023-11-12 04:46:18,240 - mmseg - INFO - Iter [42550/160000] lr: 7.341e-05, eta: 16:36:25, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3917, decode.loss_mask: 0.5709, decode.loss_dice: 0.8517, decode.d0.loss_cls: 1.3884, decode.d0.loss_mask: 0.6067, decode.d0.loss_dice: 0.9344, decode.d1.loss_cls: 0.4787, decode.d1.loss_mask: 0.5946, decode.d1.loss_dice: 0.9102, decode.d2.loss_cls: 0.4264, decode.d2.loss_mask: 0.5802, decode.d2.loss_dice: 0.8786, decode.d3.loss_cls: 0.4127, decode.d3.loss_mask: 0.5747, decode.d3.loss_dice: 0.8581, decode.d4.loss_cls: 0.3982, decode.d4.loss_mask: 0.5737, decode.d4.loss_dice: 0.8568, decode.d5.loss_cls: 0.3987, decode.d5.loss_mask: 0.5742, decode.d5.loss_dice: 0.8622, decode.d6.loss_cls: 0.4069, decode.d6.loss_mask: 0.5741, decode.d6.loss_dice: 0.8494, decode.d7.loss_cls: 0.3982, decode.d7.loss_mask: 0.5693, decode.d7.loss_dice: 0.8544, decode.d8.loss_cls: 0.3956, decode.d8.loss_mask: 0.5707, decode.d8.loss_dice: 0.8534, loss: 19.5939, grad_norm: 47.1615 2023-11-12 04:46:42,335 - mmseg - INFO - Iter [42600/160000] lr: 7.338e-05, eta: 16:35:56, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4074, decode.loss_mask: 0.5846, decode.loss_dice: 0.8796, decode.d0.loss_cls: 1.4219, decode.d0.loss_mask: 0.6148, decode.d0.loss_dice: 0.9731, decode.d1.loss_cls: 0.5100, decode.d1.loss_mask: 0.6035, decode.d1.loss_dice: 0.9338, decode.d2.loss_cls: 0.4464, decode.d2.loss_mask: 0.5938, decode.d2.loss_dice: 0.9018, decode.d3.loss_cls: 0.4292, decode.d3.loss_mask: 0.5879, decode.d3.loss_dice: 0.8843, decode.d4.loss_cls: 0.4248, decode.d4.loss_mask: 0.5857, decode.d4.loss_dice: 0.8830, decode.d5.loss_cls: 0.4135, decode.d5.loss_mask: 0.5857, decode.d5.loss_dice: 0.8862, decode.d6.loss_cls: 0.4094, decode.d6.loss_mask: 0.5844, decode.d6.loss_dice: 0.8716, decode.d7.loss_cls: 0.4063, decode.d7.loss_mask: 0.5827, decode.d7.loss_dice: 0.8793, decode.d8.loss_cls: 0.4032, decode.d8.loss_mask: 0.5844, decode.d8.loss_dice: 0.8758, loss: 20.1479, grad_norm: 47.1583 2023-11-12 04:47:06,342 - mmseg - INFO - Iter [42650/160000] lr: 7.334e-05, eta: 16:35:26, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4065, decode.loss_mask: 0.5810, decode.loss_dice: 0.8479, decode.d0.loss_cls: 1.4031, decode.d0.loss_mask: 0.6173, decode.d0.loss_dice: 0.9314, decode.d1.loss_cls: 0.4903, decode.d1.loss_mask: 0.5989, decode.d1.loss_dice: 0.8986, decode.d2.loss_cls: 0.4533, decode.d2.loss_mask: 0.5908, decode.d2.loss_dice: 0.8642, decode.d3.loss_cls: 0.4298, decode.d3.loss_mask: 0.5879, decode.d3.loss_dice: 0.8526, decode.d4.loss_cls: 0.4193, decode.d4.loss_mask: 0.5856, decode.d4.loss_dice: 0.8563, decode.d5.loss_cls: 0.4127, decode.d5.loss_mask: 0.5825, decode.d5.loss_dice: 0.8537, decode.d6.loss_cls: 0.4130, decode.d6.loss_mask: 0.5799, decode.d6.loss_dice: 0.8498, decode.d7.loss_cls: 0.4111, decode.d7.loss_mask: 0.5814, decode.d7.loss_dice: 0.8471, decode.d8.loss_cls: 0.4088, decode.d8.loss_mask: 0.5837, decode.d8.loss_dice: 0.8486, loss: 19.7869, grad_norm: 49.3412 2023-11-12 04:47:30,288 - mmseg - INFO - Iter [42700/160000] lr: 7.331e-05, eta: 16:34:57, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4015, decode.loss_mask: 0.5692, decode.loss_dice: 0.8423, decode.d0.loss_cls: 1.4169, decode.d0.loss_mask: 0.6069, decode.d0.loss_dice: 0.9260, decode.d1.loss_cls: 0.4978, decode.d1.loss_mask: 0.5889, decode.d1.loss_dice: 0.8879, decode.d2.loss_cls: 0.4443, decode.d2.loss_mask: 0.5766, decode.d2.loss_dice: 0.8669, decode.d3.loss_cls: 0.4287, decode.d3.loss_mask: 0.5721, decode.d3.loss_dice: 0.8444, decode.d4.loss_cls: 0.4144, decode.d4.loss_mask: 0.5744, decode.d4.loss_dice: 0.8501, decode.d5.loss_cls: 0.4056, decode.d5.loss_mask: 0.5691, decode.d5.loss_dice: 0.8486, decode.d6.loss_cls: 0.4083, decode.d6.loss_mask: 0.5676, decode.d6.loss_dice: 0.8411, decode.d7.loss_cls: 0.4003, decode.d7.loss_mask: 0.5721, decode.d7.loss_dice: 0.8453, decode.d8.loss_cls: 0.4034, decode.d8.loss_mask: 0.5690, decode.d8.loss_dice: 0.8406, loss: 19.5804, grad_norm: 48.5335 2023-11-12 04:47:54,559 - mmseg - INFO - Iter [42750/160000] lr: 7.328e-05, eta: 16:34:28, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3944, decode.loss_mask: 0.5935, decode.loss_dice: 0.8295, decode.d0.loss_cls: 1.3969, decode.d0.loss_mask: 0.6284, decode.d0.loss_dice: 0.9204, decode.d1.loss_cls: 0.4870, decode.d1.loss_mask: 0.6111, decode.d1.loss_dice: 0.8865, decode.d2.loss_cls: 0.4260, decode.d2.loss_mask: 0.6020, decode.d2.loss_dice: 0.8583, decode.d3.loss_cls: 0.4038, decode.d3.loss_mask: 0.5968, decode.d3.loss_dice: 0.8387, decode.d4.loss_cls: 0.3938, decode.d4.loss_mask: 0.5978, decode.d4.loss_dice: 0.8402, decode.d5.loss_cls: 0.3954, decode.d5.loss_mask: 0.5945, decode.d5.loss_dice: 0.8353, decode.d6.loss_cls: 0.3923, decode.d6.loss_mask: 0.5933, decode.d6.loss_dice: 0.8335, decode.d7.loss_cls: 0.3901, decode.d7.loss_mask: 0.5931, decode.d7.loss_dice: 0.8348, decode.d8.loss_cls: 0.3849, decode.d8.loss_mask: 0.5948, decode.d8.loss_dice: 0.8327, loss: 19.5799, grad_norm: 45.3765 2023-11-12 04:48:18,979 - mmseg - INFO - Iter [42800/160000] lr: 7.325e-05, eta: 16:34:00, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3927, decode.loss_mask: 0.5857, decode.loss_dice: 0.8399, decode.d0.loss_cls: 1.3789, decode.d0.loss_mask: 0.6296, decode.d0.loss_dice: 0.9380, decode.d1.loss_cls: 0.4698, decode.d1.loss_mask: 0.6130, decode.d1.loss_dice: 0.8978, decode.d2.loss_cls: 0.4309, decode.d2.loss_mask: 0.5989, decode.d2.loss_dice: 0.8793, decode.d3.loss_cls: 0.4104, decode.d3.loss_mask: 0.5949, decode.d3.loss_dice: 0.8531, decode.d4.loss_cls: 0.4051, decode.d4.loss_mask: 0.5909, decode.d4.loss_dice: 0.8535, decode.d5.loss_cls: 0.4053, decode.d5.loss_mask: 0.5904, decode.d5.loss_dice: 0.8520, decode.d6.loss_cls: 0.3960, decode.d6.loss_mask: 0.5903, decode.d6.loss_dice: 0.8398, decode.d7.loss_cls: 0.3894, decode.d7.loss_mask: 0.5907, decode.d7.loss_dice: 0.8433, decode.d8.loss_cls: 0.3880, decode.d8.loss_mask: 0.5867, decode.d8.loss_dice: 0.8464, loss: 19.6808, grad_norm: 46.1920 2023-11-12 04:48:43,755 - mmseg - INFO - Iter [42850/160000] lr: 7.322e-05, eta: 16:33:33, time: 0.496, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4119, decode.loss_mask: 0.5879, decode.loss_dice: 0.8637, decode.d0.loss_cls: 1.4175, decode.d0.loss_mask: 0.6264, decode.d0.loss_dice: 0.9593, decode.d1.loss_cls: 0.4951, decode.d1.loss_mask: 0.6085, decode.d1.loss_dice: 0.9225, decode.d2.loss_cls: 0.4565, decode.d2.loss_mask: 0.5950, decode.d2.loss_dice: 0.8891, decode.d3.loss_cls: 0.4344, decode.d3.loss_mask: 0.5861, decode.d3.loss_dice: 0.8763, decode.d4.loss_cls: 0.4171, decode.d4.loss_mask: 0.5893, decode.d4.loss_dice: 0.8711, decode.d5.loss_cls: 0.4162, decode.d5.loss_mask: 0.5883, decode.d5.loss_dice: 0.8719, decode.d6.loss_cls: 0.4203, decode.d6.loss_mask: 0.5851, decode.d6.loss_dice: 0.8596, decode.d7.loss_cls: 0.4162, decode.d7.loss_mask: 0.5854, decode.d7.loss_dice: 0.8614, decode.d8.loss_cls: 0.4167, decode.d8.loss_mask: 0.5873, decode.d8.loss_dice: 0.8619, loss: 20.0782, grad_norm: 45.3022 2023-11-12 04:49:08,231 - mmseg - INFO - Iter [42900/160000] lr: 7.319e-05, eta: 16:33:05, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4059, decode.loss_mask: 0.5827, decode.loss_dice: 0.8683, decode.d0.loss_cls: 1.4015, decode.d0.loss_mask: 0.6223, decode.d0.loss_dice: 0.9591, decode.d1.loss_cls: 0.4971, decode.d1.loss_mask: 0.6065, decode.d1.loss_dice: 0.9295, decode.d2.loss_cls: 0.4415, decode.d2.loss_mask: 0.5902, decode.d2.loss_dice: 0.8952, decode.d3.loss_cls: 0.4224, decode.d3.loss_mask: 0.5839, decode.d3.loss_dice: 0.8788, decode.d4.loss_cls: 0.4136, decode.d4.loss_mask: 0.5848, decode.d4.loss_dice: 0.8801, decode.d5.loss_cls: 0.4126, decode.d5.loss_mask: 0.5844, decode.d5.loss_dice: 0.8729, decode.d6.loss_cls: 0.4104, decode.d6.loss_mask: 0.5827, decode.d6.loss_dice: 0.8635, decode.d7.loss_cls: 0.4048, decode.d7.loss_mask: 0.5818, decode.d7.loss_dice: 0.8660, decode.d8.loss_cls: 0.4037, decode.d8.loss_mask: 0.5819, decode.d8.loss_dice: 0.8744, loss: 20.0025, grad_norm: 45.8241 2023-11-12 04:49:34,537 - mmseg - INFO - Iter [42950/160000] lr: 7.316e-05, eta: 16:32:41, time: 0.526, data_time: 0.059, memory: 41146, decode.loss_cls: 0.3968, decode.loss_mask: 0.5767, decode.loss_dice: 0.8480, decode.d0.loss_cls: 1.4095, decode.d0.loss_mask: 0.6102, decode.d0.loss_dice: 0.9400, decode.d1.loss_cls: 0.4981, decode.d1.loss_mask: 0.5964, decode.d1.loss_dice: 0.9060, decode.d2.loss_cls: 0.4360, decode.d2.loss_mask: 0.5853, decode.d2.loss_dice: 0.8789, decode.d3.loss_cls: 0.4222, decode.d3.loss_mask: 0.5776, decode.d3.loss_dice: 0.8535, decode.d4.loss_cls: 0.4113, decode.d4.loss_mask: 0.5772, decode.d4.loss_dice: 0.8521, decode.d5.loss_cls: 0.4090, decode.d5.loss_mask: 0.5783, decode.d5.loss_dice: 0.8486, decode.d6.loss_cls: 0.4069, decode.d6.loss_mask: 0.5772, decode.d6.loss_dice: 0.8450, decode.d7.loss_cls: 0.3986, decode.d7.loss_mask: 0.5787, decode.d7.loss_dice: 0.8493, decode.d8.loss_cls: 0.4004, decode.d8.loss_mask: 0.5783, decode.d8.loss_dice: 0.8503, loss: 19.6962, grad_norm: 49.5621 2023-11-12 04:49:58,230 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 04:49:58,230 - mmseg - INFO - Iter [43000/160000] lr: 7.313e-05, eta: 16:32:11, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3742, decode.loss_mask: 0.5612, decode.loss_dice: 0.8303, decode.d0.loss_cls: 1.3696, decode.d0.loss_mask: 0.5994, decode.d0.loss_dice: 0.9168, decode.d1.loss_cls: 0.4595, decode.d1.loss_mask: 0.5871, decode.d1.loss_dice: 0.8925, decode.d2.loss_cls: 0.4041, decode.d2.loss_mask: 0.5792, decode.d2.loss_dice: 0.8623, decode.d3.loss_cls: 0.3967, decode.d3.loss_mask: 0.5679, decode.d3.loss_dice: 0.8346, decode.d4.loss_cls: 0.3856, decode.d4.loss_mask: 0.5670, decode.d4.loss_dice: 0.8407, decode.d5.loss_cls: 0.3805, decode.d5.loss_mask: 0.5644, decode.d5.loss_dice: 0.8397, decode.d6.loss_cls: 0.3834, decode.d6.loss_mask: 0.5614, decode.d6.loss_dice: 0.8297, decode.d7.loss_cls: 0.3764, decode.d7.loss_mask: 0.5619, decode.d7.loss_dice: 0.8299, decode.d8.loss_cls: 0.3750, decode.d8.loss_mask: 0.5632, decode.d8.loss_dice: 0.8312, loss: 19.1254, grad_norm: 43.9222 2023-11-12 04:50:22,231 - mmseg - INFO - Iter [43050/160000] lr: 7.309e-05, eta: 16:31:42, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3811, decode.loss_mask: 0.5802, decode.loss_dice: 0.8484, decode.d0.loss_cls: 1.3773, decode.d0.loss_mask: 0.6180, decode.d0.loss_dice: 0.9370, decode.d1.loss_cls: 0.4683, decode.d1.loss_mask: 0.6073, decode.d1.loss_dice: 0.9054, decode.d2.loss_cls: 0.4173, decode.d2.loss_mask: 0.5938, decode.d2.loss_dice: 0.8759, decode.d3.loss_cls: 0.4097, decode.d3.loss_mask: 0.5869, decode.d3.loss_dice: 0.8530, decode.d4.loss_cls: 0.3979, decode.d4.loss_mask: 0.5821, decode.d4.loss_dice: 0.8592, decode.d5.loss_cls: 0.3938, decode.d5.loss_mask: 0.5825, decode.d5.loss_dice: 0.8555, decode.d6.loss_cls: 0.3906, decode.d6.loss_mask: 0.5797, decode.d6.loss_dice: 0.8411, decode.d7.loss_cls: 0.3763, decode.d7.loss_mask: 0.5796, decode.d7.loss_dice: 0.8489, decode.d8.loss_cls: 0.3846, decode.d8.loss_mask: 0.5784, decode.d8.loss_dice: 0.8483, loss: 19.5580, grad_norm: 51.4477 2023-11-12 04:50:46,155 - mmseg - INFO - Iter [43100/160000] lr: 7.306e-05, eta: 16:31:12, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4001, decode.loss_mask: 0.5672, decode.loss_dice: 0.8396, decode.d0.loss_cls: 1.4057, decode.d0.loss_mask: 0.6100, decode.d0.loss_dice: 0.9336, decode.d1.loss_cls: 0.4865, decode.d1.loss_mask: 0.5863, decode.d1.loss_dice: 0.9027, decode.d2.loss_cls: 0.4416, decode.d2.loss_mask: 0.5737, decode.d2.loss_dice: 0.8705, decode.d3.loss_cls: 0.4225, decode.d3.loss_mask: 0.5704, decode.d3.loss_dice: 0.8514, decode.d4.loss_cls: 0.4147, decode.d4.loss_mask: 0.5660, decode.d4.loss_dice: 0.8518, decode.d5.loss_cls: 0.4087, decode.d5.loss_mask: 0.5664, decode.d5.loss_dice: 0.8456, decode.d6.loss_cls: 0.4137, decode.d6.loss_mask: 0.5649, decode.d6.loss_dice: 0.8439, decode.d7.loss_cls: 0.3985, decode.d7.loss_mask: 0.5682, decode.d7.loss_dice: 0.8439, decode.d8.loss_cls: 0.3970, decode.d8.loss_mask: 0.5670, decode.d8.loss_dice: 0.8443, loss: 19.5564, grad_norm: 45.7498 2023-11-12 04:51:10,145 - mmseg - INFO - Iter [43150/160000] lr: 7.303e-05, eta: 16:30:43, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3661, decode.loss_mask: 0.5754, decode.loss_dice: 0.8392, decode.d0.loss_cls: 1.3594, decode.d0.loss_mask: 0.6122, decode.d0.loss_dice: 0.9203, decode.d1.loss_cls: 0.4424, decode.d1.loss_mask: 0.5999, decode.d1.loss_dice: 0.8979, decode.d2.loss_cls: 0.4011, decode.d2.loss_mask: 0.5846, decode.d2.loss_dice: 0.8666, decode.d3.loss_cls: 0.3793, decode.d3.loss_mask: 0.5746, decode.d3.loss_dice: 0.8516, decode.d4.loss_cls: 0.3742, decode.d4.loss_mask: 0.5729, decode.d4.loss_dice: 0.8502, decode.d5.loss_cls: 0.3788, decode.d5.loss_mask: 0.5764, decode.d5.loss_dice: 0.8512, decode.d6.loss_cls: 0.3732, decode.d6.loss_mask: 0.5728, decode.d6.loss_dice: 0.8414, decode.d7.loss_cls: 0.3691, decode.d7.loss_mask: 0.5742, decode.d7.loss_dice: 0.8409, decode.d8.loss_cls: 0.3732, decode.d8.loss_mask: 0.5728, decode.d8.loss_dice: 0.8364, loss: 19.2281, grad_norm: 47.5588 2023-11-12 04:51:34,047 - mmseg - INFO - Iter [43200/160000] lr: 7.300e-05, eta: 16:30:13, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3720, decode.loss_mask: 0.5675, decode.loss_dice: 0.8210, decode.d0.loss_cls: 1.3925, decode.d0.loss_mask: 0.6037, decode.d0.loss_dice: 0.9099, decode.d1.loss_cls: 0.4681, decode.d1.loss_mask: 0.5882, decode.d1.loss_dice: 0.8758, decode.d2.loss_cls: 0.4150, decode.d2.loss_mask: 0.5764, decode.d2.loss_dice: 0.8451, decode.d3.loss_cls: 0.3897, decode.d3.loss_mask: 0.5742, decode.d3.loss_dice: 0.8314, decode.d4.loss_cls: 0.3842, decode.d4.loss_mask: 0.5696, decode.d4.loss_dice: 0.8305, decode.d5.loss_cls: 0.3862, decode.d5.loss_mask: 0.5719, decode.d5.loss_dice: 0.8289, decode.d6.loss_cls: 0.3835, decode.d6.loss_mask: 0.5659, decode.d6.loss_dice: 0.8192, decode.d7.loss_cls: 0.3756, decode.d7.loss_mask: 0.5643, decode.d7.loss_dice: 0.8167, decode.d8.loss_cls: 0.3726, decode.d8.loss_mask: 0.5676, decode.d8.loss_dice: 0.8214, loss: 19.0885, grad_norm: 47.4998 2023-11-12 04:51:58,173 - mmseg - INFO - Iter [43250/160000] lr: 7.297e-05, eta: 16:29:44, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3903, decode.loss_mask: 0.6021, decode.loss_dice: 0.8812, decode.d0.loss_cls: 1.4115, decode.d0.loss_mask: 0.6471, decode.d0.loss_dice: 0.9519, decode.d1.loss_cls: 0.4670, decode.d1.loss_mask: 0.6302, decode.d1.loss_dice: 0.9271, decode.d2.loss_cls: 0.4191, decode.d2.loss_mask: 0.6208, decode.d2.loss_dice: 0.9084, decode.d3.loss_cls: 0.4120, decode.d3.loss_mask: 0.6064, decode.d3.loss_dice: 0.8861, decode.d4.loss_cls: 0.4007, decode.d4.loss_mask: 0.6049, decode.d4.loss_dice: 0.8891, decode.d5.loss_cls: 0.3940, decode.d5.loss_mask: 0.6021, decode.d5.loss_dice: 0.8849, decode.d6.loss_cls: 0.3966, decode.d6.loss_mask: 0.6006, decode.d6.loss_dice: 0.8738, decode.d7.loss_cls: 0.3915, decode.d7.loss_mask: 0.6014, decode.d7.loss_dice: 0.8769, decode.d8.loss_cls: 0.3844, decode.d8.loss_mask: 0.6040, decode.d8.loss_dice: 0.8816, loss: 20.1477, grad_norm: 48.5502 2023-11-12 04:52:22,534 - mmseg - INFO - Iter [43300/160000] lr: 7.294e-05, eta: 16:29:16, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3651, decode.loss_mask: 0.5665, decode.loss_dice: 0.8502, decode.d0.loss_cls: 1.3925, decode.d0.loss_mask: 0.6034, decode.d0.loss_dice: 0.9374, decode.d1.loss_cls: 0.4546, decode.d1.loss_mask: 0.5874, decode.d1.loss_dice: 0.9019, decode.d2.loss_cls: 0.4007, decode.d2.loss_mask: 0.5769, decode.d2.loss_dice: 0.8812, decode.d3.loss_cls: 0.3887, decode.d3.loss_mask: 0.5664, decode.d3.loss_dice: 0.8576, decode.d4.loss_cls: 0.3819, decode.d4.loss_mask: 0.5684, decode.d4.loss_dice: 0.8545, decode.d5.loss_cls: 0.3794, decode.d5.loss_mask: 0.5642, decode.d5.loss_dice: 0.8518, decode.d6.loss_cls: 0.3753, decode.d6.loss_mask: 0.5643, decode.d6.loss_dice: 0.8462, decode.d7.loss_cls: 0.3707, decode.d7.loss_mask: 0.5661, decode.d7.loss_dice: 0.8503, decode.d8.loss_cls: 0.3702, decode.d8.loss_mask: 0.5673, decode.d8.loss_dice: 0.8445, loss: 19.2856, grad_norm: 47.3631 2023-11-12 04:52:46,383 - mmseg - INFO - Iter [43350/160000] lr: 7.291e-05, eta: 16:28:46, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3687, decode.loss_mask: 0.5973, decode.loss_dice: 0.8479, decode.d0.loss_cls: 1.3691, decode.d0.loss_mask: 0.6337, decode.d0.loss_dice: 0.9423, decode.d1.loss_cls: 0.4595, decode.d1.loss_mask: 0.6122, decode.d1.loss_dice: 0.9027, decode.d2.loss_cls: 0.4134, decode.d2.loss_mask: 0.6018, decode.d2.loss_dice: 0.8736, decode.d3.loss_cls: 0.3863, decode.d3.loss_mask: 0.5968, decode.d3.loss_dice: 0.8529, decode.d4.loss_cls: 0.3806, decode.d4.loss_mask: 0.5949, decode.d4.loss_dice: 0.8529, decode.d5.loss_cls: 0.3759, decode.d5.loss_mask: 0.5946, decode.d5.loss_dice: 0.8509, decode.d6.loss_cls: 0.3754, decode.d6.loss_mask: 0.5940, decode.d6.loss_dice: 0.8446, decode.d7.loss_cls: 0.3727, decode.d7.loss_mask: 0.5926, decode.d7.loss_dice: 0.8457, decode.d8.loss_cls: 0.3702, decode.d8.loss_mask: 0.5943, decode.d8.loss_dice: 0.8520, loss: 19.5491, grad_norm: 45.8506 2023-11-12 04:53:10,527 - mmseg - INFO - Iter [43400/160000] lr: 7.288e-05, eta: 16:28:18, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3799, decode.loss_mask: 0.5774, decode.loss_dice: 0.8461, decode.d0.loss_cls: 1.3937, decode.d0.loss_mask: 0.6167, decode.d0.loss_dice: 0.9396, decode.d1.loss_cls: 0.4751, decode.d1.loss_mask: 0.6005, decode.d1.loss_dice: 0.8926, decode.d2.loss_cls: 0.4290, decode.d2.loss_mask: 0.5882, decode.d2.loss_dice: 0.8657, decode.d3.loss_cls: 0.4150, decode.d3.loss_mask: 0.5835, decode.d3.loss_dice: 0.8483, decode.d4.loss_cls: 0.4014, decode.d4.loss_mask: 0.5786, decode.d4.loss_dice: 0.8502, decode.d5.loss_cls: 0.3985, decode.d5.loss_mask: 0.5754, decode.d5.loss_dice: 0.8484, decode.d6.loss_cls: 0.3909, decode.d6.loss_mask: 0.5756, decode.d6.loss_dice: 0.8432, decode.d7.loss_cls: 0.3913, decode.d7.loss_mask: 0.5801, decode.d7.loss_dice: 0.8422, decode.d8.loss_cls: 0.3876, decode.d8.loss_mask: 0.5754, decode.d8.loss_dice: 0.8464, loss: 19.5362, grad_norm: 46.6410 2023-11-12 04:53:34,490 - mmseg - INFO - Iter [43450/160000] lr: 7.284e-05, eta: 16:27:48, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4008, decode.loss_mask: 0.5754, decode.loss_dice: 0.8351, decode.d0.loss_cls: 1.4003, decode.d0.loss_mask: 0.6075, decode.d0.loss_dice: 0.9218, decode.d1.loss_cls: 0.4873, decode.d1.loss_mask: 0.5895, decode.d1.loss_dice: 0.8861, decode.d2.loss_cls: 0.4411, decode.d2.loss_mask: 0.5770, decode.d2.loss_dice: 0.8564, decode.d3.loss_cls: 0.4220, decode.d3.loss_mask: 0.5742, decode.d3.loss_dice: 0.8383, decode.d4.loss_cls: 0.4136, decode.d4.loss_mask: 0.5731, decode.d4.loss_dice: 0.8407, decode.d5.loss_cls: 0.4069, decode.d5.loss_mask: 0.5711, decode.d5.loss_dice: 0.8365, decode.d6.loss_cls: 0.4073, decode.d6.loss_mask: 0.5704, decode.d6.loss_dice: 0.8365, decode.d7.loss_cls: 0.4076, decode.d7.loss_mask: 0.5721, decode.d7.loss_dice: 0.8348, decode.d8.loss_cls: 0.4021, decode.d8.loss_mask: 0.5751, decode.d8.loss_dice: 0.8325, loss: 19.4930, grad_norm: 48.8808 2023-11-12 04:53:58,442 - mmseg - INFO - Iter [43500/160000] lr: 7.281e-05, eta: 16:27:19, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3919, decode.loss_mask: 0.5862, decode.loss_dice: 0.8642, decode.d0.loss_cls: 1.4358, decode.d0.loss_mask: 0.6255, decode.d0.loss_dice: 0.9564, decode.d1.loss_cls: 0.4814, decode.d1.loss_mask: 0.6012, decode.d1.loss_dice: 0.9194, decode.d2.loss_cls: 0.4344, decode.d2.loss_mask: 0.5932, decode.d2.loss_dice: 0.8872, decode.d3.loss_cls: 0.4189, decode.d3.loss_mask: 0.5866, decode.d3.loss_dice: 0.8633, decode.d4.loss_cls: 0.4096, decode.d4.loss_mask: 0.5846, decode.d4.loss_dice: 0.8698, decode.d5.loss_cls: 0.4022, decode.d5.loss_mask: 0.5846, decode.d5.loss_dice: 0.8695, decode.d6.loss_cls: 0.4038, decode.d6.loss_mask: 0.5837, decode.d6.loss_dice: 0.8621, decode.d7.loss_cls: 0.4015, decode.d7.loss_mask: 0.5863, decode.d7.loss_dice: 0.8638, decode.d8.loss_cls: 0.3926, decode.d8.loss_mask: 0.5859, decode.d8.loss_dice: 0.8618, loss: 19.9073, grad_norm: 48.9635 2023-11-12 04:54:22,538 - mmseg - INFO - Iter [43550/160000] lr: 7.278e-05, eta: 16:26:50, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3868, decode.loss_mask: 0.5670, decode.loss_dice: 0.8605, decode.d0.loss_cls: 1.4059, decode.d0.loss_mask: 0.6025, decode.d0.loss_dice: 0.9465, decode.d1.loss_cls: 0.4771, decode.d1.loss_mask: 0.5898, decode.d1.loss_dice: 0.9067, decode.d2.loss_cls: 0.4325, decode.d2.loss_mask: 0.5725, decode.d2.loss_dice: 0.8809, decode.d3.loss_cls: 0.4108, decode.d3.loss_mask: 0.5681, decode.d3.loss_dice: 0.8661, decode.d4.loss_cls: 0.4028, decode.d4.loss_mask: 0.5649, decode.d4.loss_dice: 0.8621, decode.d5.loss_cls: 0.3972, decode.d5.loss_mask: 0.5673, decode.d5.loss_dice: 0.8598, decode.d6.loss_cls: 0.3934, decode.d6.loss_mask: 0.5628, decode.d6.loss_dice: 0.8606, decode.d7.loss_cls: 0.3929, decode.d7.loss_mask: 0.5660, decode.d7.loss_dice: 0.8620, decode.d8.loss_cls: 0.3944, decode.d8.loss_mask: 0.5659, decode.d8.loss_dice: 0.8623, loss: 19.5880, grad_norm: 47.8924 2023-11-12 04:54:46,621 - mmseg - INFO - Iter [43600/160000] lr: 7.275e-05, eta: 16:26:21, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3736, decode.loss_mask: 0.5722, decode.loss_dice: 0.8372, decode.d0.loss_cls: 1.3526, decode.d0.loss_mask: 0.6106, decode.d0.loss_dice: 0.9262, decode.d1.loss_cls: 0.4606, decode.d1.loss_mask: 0.5944, decode.d1.loss_dice: 0.8957, decode.d2.loss_cls: 0.4137, decode.d2.loss_mask: 0.5831, decode.d2.loss_dice: 0.8643, decode.d3.loss_cls: 0.3995, decode.d3.loss_mask: 0.5717, decode.d3.loss_dice: 0.8430, decode.d4.loss_cls: 0.3831, decode.d4.loss_mask: 0.5745, decode.d4.loss_dice: 0.8475, decode.d5.loss_cls: 0.3773, decode.d5.loss_mask: 0.5750, decode.d5.loss_dice: 0.8434, decode.d6.loss_cls: 0.3808, decode.d6.loss_mask: 0.5712, decode.d6.loss_dice: 0.8324, decode.d7.loss_cls: 0.3774, decode.d7.loss_mask: 0.5737, decode.d7.loss_dice: 0.8404, decode.d8.loss_cls: 0.3717, decode.d8.loss_mask: 0.5729, decode.d8.loss_dice: 0.8411, loss: 19.2607, grad_norm: 51.5875 2023-11-12 04:55:10,731 - mmseg - INFO - Iter [43650/160000] lr: 7.272e-05, eta: 16:25:52, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3832, decode.loss_mask: 0.5674, decode.loss_dice: 0.8439, decode.d0.loss_cls: 1.4062, decode.d0.loss_mask: 0.6043, decode.d0.loss_dice: 0.9286, decode.d1.loss_cls: 0.4773, decode.d1.loss_mask: 0.5864, decode.d1.loss_dice: 0.8900, decode.d2.loss_cls: 0.4264, decode.d2.loss_mask: 0.5780, decode.d2.loss_dice: 0.8644, decode.d3.loss_cls: 0.4082, decode.d3.loss_mask: 0.5730, decode.d3.loss_dice: 0.8457, decode.d4.loss_cls: 0.3986, decode.d4.loss_mask: 0.5700, decode.d4.loss_dice: 0.8468, decode.d5.loss_cls: 0.3955, decode.d5.loss_mask: 0.5667, decode.d5.loss_dice: 0.8496, decode.d6.loss_cls: 0.3919, decode.d6.loss_mask: 0.5691, decode.d6.loss_dice: 0.8445, decode.d7.loss_cls: 0.3863, decode.d7.loss_mask: 0.5666, decode.d7.loss_dice: 0.8442, decode.d8.loss_cls: 0.3826, decode.d8.loss_mask: 0.5681, decode.d8.loss_dice: 0.8469, loss: 19.4105, grad_norm: 50.9232 2023-11-12 04:55:35,352 - mmseg - INFO - Iter [43700/160000] lr: 7.269e-05, eta: 16:25:24, time: 0.494, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3982, decode.loss_mask: 0.5805, decode.loss_dice: 0.8333, decode.d0.loss_cls: 1.4155, decode.d0.loss_mask: 0.6172, decode.d0.loss_dice: 0.9191, decode.d1.loss_cls: 0.4862, decode.d1.loss_mask: 0.5996, decode.d1.loss_dice: 0.8843, decode.d2.loss_cls: 0.4310, decode.d2.loss_mask: 0.5899, decode.d2.loss_dice: 0.8604, decode.d3.loss_cls: 0.4097, decode.d3.loss_mask: 0.5826, decode.d3.loss_dice: 0.8453, decode.d4.loss_cls: 0.3998, decode.d4.loss_mask: 0.5831, decode.d4.loss_dice: 0.8436, decode.d5.loss_cls: 0.4006, decode.d5.loss_mask: 0.5823, decode.d5.loss_dice: 0.8414, decode.d6.loss_cls: 0.4003, decode.d6.loss_mask: 0.5816, decode.d6.loss_dice: 0.8345, decode.d7.loss_cls: 0.4014, decode.d7.loss_mask: 0.5808, decode.d7.loss_dice: 0.8379, decode.d8.loss_cls: 0.4000, decode.d8.loss_mask: 0.5804, decode.d8.loss_dice: 0.8323, loss: 19.5529, grad_norm: 52.7383 2023-11-12 04:55:59,525 - mmseg - INFO - Iter [43750/160000] lr: 7.266e-05, eta: 16:24:56, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3942, decode.loss_mask: 0.5892, decode.loss_dice: 0.8616, decode.d0.loss_cls: 1.4319, decode.d0.loss_mask: 0.6213, decode.d0.loss_dice: 0.9543, decode.d1.loss_cls: 0.4907, decode.d1.loss_mask: 0.6078, decode.d1.loss_dice: 0.9208, decode.d2.loss_cls: 0.4317, decode.d2.loss_mask: 0.5990, decode.d2.loss_dice: 0.8912, decode.d3.loss_cls: 0.4159, decode.d3.loss_mask: 0.5911, decode.d3.loss_dice: 0.8729, decode.d4.loss_cls: 0.4019, decode.d4.loss_mask: 0.5899, decode.d4.loss_dice: 0.8725, decode.d5.loss_cls: 0.4051, decode.d5.loss_mask: 0.5881, decode.d5.loss_dice: 0.8700, decode.d6.loss_cls: 0.4062, decode.d6.loss_mask: 0.5861, decode.d6.loss_dice: 0.8579, decode.d7.loss_cls: 0.4002, decode.d7.loss_mask: 0.5852, decode.d7.loss_dice: 0.8610, decode.d8.loss_cls: 0.3984, decode.d8.loss_mask: 0.5909, decode.d8.loss_dice: 0.8647, loss: 19.9518, grad_norm: 52.5490 2023-11-12 04:56:23,389 - mmseg - INFO - Iter [43800/160000] lr: 7.263e-05, eta: 16:24:26, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3883, decode.loss_mask: 0.6030, decode.loss_dice: 0.8366, decode.d0.loss_cls: 1.3817, decode.d0.loss_mask: 0.6318, decode.d0.loss_dice: 0.9239, decode.d1.loss_cls: 0.4629, decode.d1.loss_mask: 0.6181, decode.d1.loss_dice: 0.8921, decode.d2.loss_cls: 0.4253, decode.d2.loss_mask: 0.6087, decode.d2.loss_dice: 0.8643, decode.d3.loss_cls: 0.4096, decode.d3.loss_mask: 0.6014, decode.d3.loss_dice: 0.8480, decode.d4.loss_cls: 0.3945, decode.d4.loss_mask: 0.6009, decode.d4.loss_dice: 0.8438, decode.d5.loss_cls: 0.3935, decode.d5.loss_mask: 0.6000, decode.d5.loss_dice: 0.8389, decode.d6.loss_cls: 0.3891, decode.d6.loss_mask: 0.6026, decode.d6.loss_dice: 0.8372, decode.d7.loss_cls: 0.3865, decode.d7.loss_mask: 0.6032, decode.d7.loss_dice: 0.8439, decode.d8.loss_cls: 0.3819, decode.d8.loss_mask: 0.6017, decode.d8.loss_dice: 0.8408, loss: 19.6543, grad_norm: 51.6473 2023-11-12 04:56:47,400 - mmseg - INFO - Iter [43850/160000] lr: 7.259e-05, eta: 16:23:57, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3684, decode.loss_mask: 0.5577, decode.loss_dice: 0.8134, decode.d0.loss_cls: 1.3856, decode.d0.loss_mask: 0.5910, decode.d0.loss_dice: 0.8976, decode.d1.loss_cls: 0.4526, decode.d1.loss_mask: 0.5794, decode.d1.loss_dice: 0.8717, decode.d2.loss_cls: 0.4061, decode.d2.loss_mask: 0.5653, decode.d2.loss_dice: 0.8378, decode.d3.loss_cls: 0.3892, decode.d3.loss_mask: 0.5622, decode.d3.loss_dice: 0.8201, decode.d4.loss_cls: 0.3737, decode.d4.loss_mask: 0.5609, decode.d4.loss_dice: 0.8244, decode.d5.loss_cls: 0.3742, decode.d5.loss_mask: 0.5560, decode.d5.loss_dice: 0.8224, decode.d6.loss_cls: 0.3662, decode.d6.loss_mask: 0.5570, decode.d6.loss_dice: 0.8152, decode.d7.loss_cls: 0.3704, decode.d7.loss_mask: 0.5567, decode.d7.loss_dice: 0.8100, decode.d8.loss_cls: 0.3657, decode.d8.loss_mask: 0.5570, decode.d8.loss_dice: 0.8160, loss: 18.8238, grad_norm: 44.0274 2023-11-12 04:57:11,380 - mmseg - INFO - Iter [43900/160000] lr: 7.256e-05, eta: 16:23:28, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.4083, decode.loss_mask: 0.5748, decode.loss_dice: 0.8573, decode.d0.loss_cls: 1.3688, decode.d0.loss_mask: 0.6173, decode.d0.loss_dice: 0.9463, decode.d1.loss_cls: 0.4932, decode.d1.loss_mask: 0.6012, decode.d1.loss_dice: 0.9174, decode.d2.loss_cls: 0.4460, decode.d2.loss_mask: 0.5867, decode.d2.loss_dice: 0.8842, decode.d3.loss_cls: 0.4298, decode.d3.loss_mask: 0.5796, decode.d3.loss_dice: 0.8641, decode.d4.loss_cls: 0.4234, decode.d4.loss_mask: 0.5777, decode.d4.loss_dice: 0.8597, decode.d5.loss_cls: 0.4191, decode.d5.loss_mask: 0.5801, decode.d5.loss_dice: 0.8653, decode.d6.loss_cls: 0.4130, decode.d6.loss_mask: 0.5779, decode.d6.loss_dice: 0.8570, decode.d7.loss_cls: 0.4179, decode.d7.loss_mask: 0.5735, decode.d7.loss_dice: 0.8595, decode.d8.loss_cls: 0.4048, decode.d8.loss_mask: 0.5778, decode.d8.loss_dice: 0.8583, loss: 19.8400, grad_norm: 48.1844 2023-11-12 04:57:35,301 - mmseg - INFO - Iter [43950/160000] lr: 7.253e-05, eta: 16:22:58, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3837, decode.loss_mask: 0.5684, decode.loss_dice: 0.8145, decode.d0.loss_cls: 1.4142, decode.d0.loss_mask: 0.5950, decode.d0.loss_dice: 0.8993, decode.d1.loss_cls: 0.4831, decode.d1.loss_mask: 0.5845, decode.d1.loss_dice: 0.8675, decode.d2.loss_cls: 0.4337, decode.d2.loss_mask: 0.5759, decode.d2.loss_dice: 0.8413, decode.d3.loss_cls: 0.4138, decode.d3.loss_mask: 0.5691, decode.d3.loss_dice: 0.8208, decode.d4.loss_cls: 0.4066, decode.d4.loss_mask: 0.5693, decode.d4.loss_dice: 0.8192, decode.d5.loss_cls: 0.3994, decode.d5.loss_mask: 0.5690, decode.d5.loss_dice: 0.8234, decode.d6.loss_cls: 0.3966, decode.d6.loss_mask: 0.5694, decode.d6.loss_dice: 0.8163, decode.d7.loss_cls: 0.3884, decode.d7.loss_mask: 0.5677, decode.d7.loss_dice: 0.8185, decode.d8.loss_cls: 0.3862, decode.d8.loss_mask: 0.5685, decode.d8.loss_dice: 0.8185, loss: 19.1817, grad_norm: 45.1006 2023-11-12 04:57:59,300 - mmseg - INFO - Saving checkpoint at 44000 iterations 2023-11-12 04:58:03,375 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 04:58:03,375 - mmseg - INFO - Iter [44000/160000] lr: 7.250e-05, eta: 16:22:40, time: 0.562, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3685, decode.loss_mask: 0.5770, decode.loss_dice: 0.8284, decode.d0.loss_cls: 1.3762, decode.d0.loss_mask: 0.6109, decode.d0.loss_dice: 0.9260, decode.d1.loss_cls: 0.4487, decode.d1.loss_mask: 0.5912, decode.d1.loss_dice: 0.8876, decode.d2.loss_cls: 0.4068, decode.d2.loss_mask: 0.5827, decode.d2.loss_dice: 0.8574, decode.d3.loss_cls: 0.3920, decode.d3.loss_mask: 0.5769, decode.d3.loss_dice: 0.8347, decode.d4.loss_cls: 0.3837, decode.d4.loss_mask: 0.5798, decode.d4.loss_dice: 0.8378, decode.d5.loss_cls: 0.3814, decode.d5.loss_mask: 0.5780, decode.d5.loss_dice: 0.8323, decode.d6.loss_cls: 0.3732, decode.d6.loss_mask: 0.5787, decode.d6.loss_dice: 0.8280, decode.d7.loss_cls: 0.3726, decode.d7.loss_mask: 0.5805, decode.d7.loss_dice: 0.8356, decode.d8.loss_cls: 0.3669, decode.d8.loss_mask: 0.5772, decode.d8.loss_dice: 0.8324, loss: 19.2035, grad_norm: 44.9657 2023-11-12 04:58:22,702 - mmseg - INFO - per class results: 2023-11-12 04:58:22,707 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.89 | 86.65 | | building | 82.04 | 89.47 | | sky | 94.86 | 97.41 | | floor | 83.33 | 90.14 | | tree | 75.87 | 86.86 | | ceiling | 85.79 | 92.5 | | road | 82.65 | 90.99 | | bed | 89.16 | 95.38 | | windowpane | 62.62 | 83.32 | | grass | 68.43 | 81.81 | | cabinet | 63.34 | 77.64 | | sidewalk | 68.2 | 80.47 | | person | 85.05 | 91.96 | | earth | 38.68 | 51.33 | | door | 52.12 | 67.49 | | table | 64.47 | 76.51 | | mountain | 63.82 | 78.55 | | plant | 54.89 | 74.81 | | curtain | 76.72 | 85.62 | | chair | 62.81 | 77.0 | | car | 85.38 | 93.44 | | water | 52.7 | 72.99 | | painting | 70.03 | 89.83 | | sofa | 70.96 | 85.75 | | shelf | 41.17 | 58.97 | | house | 40.95 | 65.55 | | sea | 59.87 | 76.65 | | mirror | 69.63 | 81.47 | | rug | 67.91 | 81.18 | | field | 28.33 | 47.39 | | armchair | 52.32 | 66.9 | | seat | 61.66 | 85.2 | | fence | 40.64 | 63.08 | | desk | 48.36 | 76.86 | | rock | 46.15 | 72.1 | | wardrobe | 53.27 | 64.0 | | lamp | 67.76 | 79.14 | | bathtub | 77.75 | 84.71 | | railing | 34.06 | 54.23 | | cushion | 64.51 | 73.8 | | base | 28.23 | 50.64 | | box | 27.19 | 39.42 | | column | 47.07 | 67.12 | | signboard | 40.35 | 61.58 | | chest of drawers | 41.45 | 68.68 | | counter | 25.11 | 37.03 | | sand | 38.18 | 53.67 | | sink | 75.04 | 85.2 | | skyscraper | 35.68 | 41.51 | | fireplace | 71.12 | 90.08 | | refrigerator | 69.75 | 90.14 | | grandstand | 43.05 | 69.8 | | path | 24.85 | 51.19 | | stairs | 28.37 | 38.99 | | runway | 69.0 | 69.8 | | case | 60.32 | 76.23 | | pool table | 94.77 | 97.3 | | pillow | 59.05 | 76.38 | | screen door | 74.52 | 77.71 | | stairway | 35.57 | 52.03 | | river | 17.71 | 32.19 | | bridge | 74.58 | 82.41 | | bookcase | 30.85 | 57.33 | | blind | 38.47 | 40.35 | | coffee table | 63.19 | 87.71 | | toilet | 86.68 | 91.08 | | flower | 44.13 | 59.1 | | book | 50.52 | 71.91 | | hill | 6.34 | 11.96 | | bench | 46.98 | 56.35 | | countertop | 58.15 | 69.42 | | stove | 73.85 | 79.01 | | palm | 57.18 | 71.28 | | kitchen island | 41.64 | 85.88 | | computer | 69.54 | 75.54 | | swivel chair | 39.09 | 65.53 | | boat | 77.11 | 83.34 | | bar | 18.59 | 21.93 | | arcade machine | 76.47 | 81.57 | | hovel | 37.07 | 52.14 | | bus | 91.59 | 97.05 | | towel | 67.14 | 81.63 | | light | 63.12 | 78.27 | | truck | 41.86 | 63.91 | | tower | 33.21 | 61.21 | | chandelier | 67.68 | 88.03 | | awning | 36.99 | 51.15 | | streetlight | 39.19 | 57.57 | | booth | 27.45 | 39.12 | | television receiver | 70.39 | 81.69 | | airplane | 61.04 | 67.42 | | dirt track | 0.0 | 0.0 | | apparel | 37.32 | 77.99 | | pole | 32.05 | 54.75 | | land | 7.3 | 9.22 | | bannister | 18.48 | 24.64 | | escalator | 43.99 | 61.96 | | ottoman | 54.02 | 76.96 | | bottle | 30.54 | 39.22 | | buffet | 43.73 | 54.41 | | poster | 19.45 | 30.98 | | stage | 23.19 | 39.09 | | van | 28.77 | 41.24 | | ship | 10.24 | 10.77 | | fountain | 16.82 | 20.82 | | conveyer belt | 35.59 | 68.09 | | canopy | 30.65 | 34.87 | | washer | 65.56 | 74.93 | | plaything | 48.51 | 68.04 | | swimming pool | 29.26 | 31.44 | | stool | 44.08 | 70.88 | | barrel | 85.9 | 98.63 | | basket | 42.38 | 56.83 | | waterfall | 44.11 | 64.2 | | tent | 44.69 | 97.95 | | bag | 18.51 | 30.74 | | minibike | 63.43 | 92.81 | | cradle | 72.05 | 97.76 | | oven | 21.02 | 69.46 | | ball | 22.87 | 25.91 | | food | 65.59 | 87.79 | | step | 15.52 | 30.11 | | tank | 46.96 | 54.65 | | trade name | 28.92 | 37.04 | | microwave | 40.55 | 44.37 | | pot | 46.97 | 59.41 | | animal | 74.7 | 78.98 | | bicycle | 62.87 | 86.11 | | lake | 0.0 | 0.0 | | dishwasher | 75.86 | 84.66 | | screen | 61.96 | 96.24 | | blanket | 27.64 | 40.75 | | sculpture | 54.57 | 87.97 | | hood | 66.47 | 85.68 | | sconce | 52.4 | 70.55 | | vase | 51.11 | 72.8 | | traffic light | 42.49 | 67.09 | | tray | 21.47 | 35.97 | | ashcan | 48.11 | 70.14 | | fan | 65.71 | 84.59 | | pier | 32.56 | 43.4 | | crt screen | 5.11 | 16.31 | | plate | 62.89 | 77.18 | | monitor | 2.95 | 4.82 | | bulletin board | 34.52 | 53.96 | | shower | 9.4 | 20.38 | | radiator | 74.04 | 86.69 | | glass | 21.81 | 27.09 | | clock | 52.22 | 67.2 | | flag | 48.03 | 55.85 | +---------------------+-------+-------+ 2023-11-12 04:58:22,707 - mmseg - INFO - Summary: 2023-11-12 04:58:22,707 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.48 | 49.94 | 64.79 | +-------+-------+-------+ 2023-11-12 04:58:22,708 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 04:58:22,708 - mmseg - INFO - Iter(val) [250] aAcc: 0.8348, mIoU: 0.4994, mAcc: 0.6479, IoU.wall: 0.7889, IoU.building: 0.8204, IoU.sky: 0.9486, IoU.floor: 0.8333, IoU.tree: 0.7587, IoU.ceiling: 0.8579, IoU.road: 0.8265, IoU.bed : 0.8916, IoU.windowpane: 0.6262, IoU.grass: 0.6843, IoU.cabinet: 0.6334, IoU.sidewalk: 0.6820, IoU.person: 0.8505, IoU.earth: 0.3868, IoU.door: 0.5212, IoU.table: 0.6447, IoU.mountain: 0.6382, IoU.plant: 0.5489, IoU.curtain: 0.7672, IoU.chair: 0.6281, IoU.car: 0.8538, IoU.water: 0.5270, IoU.painting: 0.7003, IoU.sofa: 0.7096, IoU.shelf: 0.4117, IoU.house: 0.4095, IoU.sea: 0.5987, IoU.mirror: 0.6963, IoU.rug: 0.6791, IoU.field: 0.2833, IoU.armchair: 0.5232, IoU.seat: 0.6166, IoU.fence: 0.4064, IoU.desk: 0.4836, IoU.rock: 0.4615, IoU.wardrobe: 0.5327, IoU.lamp: 0.6776, IoU.bathtub: 0.7775, IoU.railing: 0.3406, IoU.cushion: 0.6451, IoU.base: 0.2823, IoU.box: 0.2719, IoU.column: 0.4707, IoU.signboard: 0.4035, IoU.chest of drawers: 0.4145, IoU.counter: 0.2511, IoU.sand: 0.3818, IoU.sink: 0.7504, IoU.skyscraper: 0.3568, IoU.fireplace: 0.7112, IoU.refrigerator: 0.6975, IoU.grandstand: 0.4305, IoU.path: 0.2485, IoU.stairs: 0.2837, IoU.runway: 0.6900, IoU.case: 0.6032, IoU.pool table: 0.9477, IoU.pillow: 0.5905, IoU.screen door: 0.7452, IoU.stairway: 0.3557, IoU.river: 0.1771, IoU.bridge: 0.7458, IoU.bookcase: 0.3085, IoU.blind: 0.3847, IoU.coffee table: 0.6319, IoU.toilet: 0.8668, IoU.flower: 0.4413, IoU.book: 0.5052, IoU.hill: 0.0634, IoU.bench: 0.4698, IoU.countertop: 0.5815, IoU.stove: 0.7385, IoU.palm: 0.5718, IoU.kitchen island: 0.4164, IoU.computer: 0.6954, IoU.swivel chair: 0.3909, IoU.boat: 0.7711, IoU.bar: 0.1859, IoU.arcade machine: 0.7647, IoU.hovel: 0.3707, IoU.bus: 0.9159, IoU.towel: 0.6714, IoU.light: 0.6312, IoU.truck: 0.4186, IoU.tower: 0.3321, IoU.chandelier: 0.6768, IoU.awning: 0.3699, IoU.streetlight: 0.3919, IoU.booth: 0.2745, IoU.television receiver: 0.7039, IoU.airplane: 0.6104, IoU.dirt track: 0.0000, IoU.apparel: 0.3732, IoU.pole: 0.3205, IoU.land: 0.0730, IoU.bannister: 0.1848, IoU.escalator: 0.4399, IoU.ottoman: 0.5402, IoU.bottle: 0.3054, IoU.buffet: 0.4373, IoU.poster: 0.1945, IoU.stage: 0.2319, IoU.van: 0.2877, IoU.ship: 0.1024, IoU.fountain: 0.1682, IoU.conveyer belt: 0.3559, IoU.canopy: 0.3065, IoU.washer: 0.6556, IoU.plaything: 0.4851, IoU.swimming pool: 0.2926, IoU.stool: 0.4408, IoU.barrel: 0.8590, IoU.basket: 0.4238, IoU.waterfall: 0.4411, IoU.tent: 0.4469, IoU.bag: 0.1851, IoU.minibike: 0.6343, IoU.cradle: 0.7205, IoU.oven: 0.2102, IoU.ball: 0.2287, IoU.food: 0.6559, IoU.step: 0.1552, IoU.tank: 0.4696, IoU.trade name: 0.2892, IoU.microwave: 0.4055, IoU.pot: 0.4697, IoU.animal: 0.7470, IoU.bicycle: 0.6287, IoU.lake: 0.0000, IoU.dishwasher: 0.7586, IoU.screen: 0.6196, IoU.blanket: 0.2764, IoU.sculpture: 0.5457, IoU.hood: 0.6647, IoU.sconce: 0.5240, IoU.vase: 0.5111, IoU.traffic light: 0.4249, IoU.tray: 0.2147, IoU.ashcan: 0.4811, IoU.fan: 0.6571, IoU.pier: 0.3256, IoU.crt screen: 0.0511, IoU.plate: 0.6289, IoU.monitor: 0.0295, IoU.bulletin board: 0.3452, IoU.shower: 0.0940, IoU.radiator: 0.7404, IoU.glass: 0.2181, IoU.clock: 0.5222, IoU.flag: 0.4803, Acc.wall: 0.8665, Acc.building: 0.8947, Acc.sky: 0.9741, Acc.floor: 0.9014, Acc.tree: 0.8686, Acc.ceiling: 0.9250, Acc.road: 0.9099, Acc.bed : 0.9538, Acc.windowpane: 0.8332, Acc.grass: 0.8181, Acc.cabinet: 0.7764, Acc.sidewalk: 0.8047, Acc.person: 0.9196, Acc.earth: 0.5133, Acc.door: 0.6749, Acc.table: 0.7651, Acc.mountain: 0.7855, Acc.plant: 0.7481, Acc.curtain: 0.8562, Acc.chair: 0.7700, Acc.car: 0.9344, Acc.water: 0.7299, Acc.painting: 0.8983, Acc.sofa: 0.8575, Acc.shelf: 0.5897, Acc.house: 0.6555, Acc.sea: 0.7665, Acc.mirror: 0.8147, Acc.rug: 0.8118, Acc.field: 0.4739, Acc.armchair: 0.6690, Acc.seat: 0.8520, Acc.fence: 0.6308, Acc.desk: 0.7686, Acc.rock: 0.7210, Acc.wardrobe: 0.6400, Acc.lamp: 0.7914, Acc.bathtub: 0.8471, Acc.railing: 0.5423, Acc.cushion: 0.7380, Acc.base: 0.5064, Acc.box: 0.3942, Acc.column: 0.6712, Acc.signboard: 0.6158, Acc.chest of drawers: 0.6868, Acc.counter: 0.3703, Acc.sand: 0.5367, Acc.sink: 0.8520, Acc.skyscraper: 0.4151, Acc.fireplace: 0.9008, Acc.refrigerator: 0.9014, Acc.grandstand: 0.6980, Acc.path: 0.5119, Acc.stairs: 0.3899, Acc.runway: 0.6980, Acc.case: 0.7623, Acc.pool table: 0.9730, Acc.pillow: 0.7638, Acc.screen door: 0.7771, Acc.stairway: 0.5203, Acc.river: 0.3219, Acc.bridge: 0.8241, Acc.bookcase: 0.5733, Acc.blind: 0.4035, Acc.coffee table: 0.8771, Acc.toilet: 0.9108, Acc.flower: 0.5910, Acc.book: 0.7191, Acc.hill: 0.1196, Acc.bench: 0.5635, Acc.countertop: 0.6942, Acc.stove: 0.7901, Acc.palm: 0.7128, Acc.kitchen island: 0.8588, Acc.computer: 0.7554, Acc.swivel chair: 0.6553, Acc.boat: 0.8334, Acc.bar: 0.2193, Acc.arcade machine: 0.8157, Acc.hovel: 0.5214, Acc.bus: 0.9705, Acc.towel: 0.8163, Acc.light: 0.7827, Acc.truck: 0.6391, Acc.tower: 0.6121, Acc.chandelier: 0.8803, Acc.awning: 0.5115, Acc.streetlight: 0.5757, Acc.booth: 0.3912, Acc.television receiver: 0.8169, Acc.airplane: 0.6742, Acc.dirt track: 0.0000, Acc.apparel: 0.7799, Acc.pole: 0.5475, Acc.land: 0.0922, Acc.bannister: 0.2464, Acc.escalator: 0.6196, Acc.ottoman: 0.7696, Acc.bottle: 0.3922, Acc.buffet: 0.5441, Acc.poster: 0.3098, Acc.stage: 0.3909, Acc.van: 0.4124, Acc.ship: 0.1077, Acc.fountain: 0.2082, Acc.conveyer belt: 0.6809, Acc.canopy: 0.3487, Acc.washer: 0.7493, Acc.plaything: 0.6804, Acc.swimming pool: 0.3144, Acc.stool: 0.7088, Acc.barrel: 0.9863, Acc.basket: 0.5683, Acc.waterfall: 0.6420, Acc.tent: 0.9795, Acc.bag: 0.3074, Acc.minibike: 0.9281, Acc.cradle: 0.9776, Acc.oven: 0.6946, Acc.ball: 0.2591, Acc.food: 0.8779, Acc.step: 0.3011, Acc.tank: 0.5465, Acc.trade name: 0.3704, Acc.microwave: 0.4437, Acc.pot: 0.5941, Acc.animal: 0.7898, Acc.bicycle: 0.8611, Acc.lake: 0.0000, Acc.dishwasher: 0.8466, Acc.screen: 0.9624, Acc.blanket: 0.4075, Acc.sculpture: 0.8797, Acc.hood: 0.8568, Acc.sconce: 0.7055, Acc.vase: 0.7280, Acc.traffic light: 0.6709, Acc.tray: 0.3597, Acc.ashcan: 0.7014, Acc.fan: 0.8459, Acc.pier: 0.4340, Acc.crt screen: 0.1631, Acc.plate: 0.7718, Acc.monitor: 0.0482, Acc.bulletin board: 0.5396, Acc.shower: 0.2038, Acc.radiator: 0.8669, Acc.glass: 0.2709, Acc.clock: 0.6720, Acc.flag: 0.5585 2023-11-12 04:58:46,668 - mmseg - INFO - Iter [44050/160000] lr: 7.247e-05, eta: 16:23:02, time: 0.866, data_time: 0.400, memory: 41146, decode.loss_cls: 0.3653, decode.loss_mask: 0.5626, decode.loss_dice: 0.8199, decode.d0.loss_cls: 1.3682, decode.d0.loss_mask: 0.5915, decode.d0.loss_dice: 0.8940, decode.d1.loss_cls: 0.4469, decode.d1.loss_mask: 0.5832, decode.d1.loss_dice: 0.8684, decode.d2.loss_cls: 0.4015, decode.d2.loss_mask: 0.5708, decode.d2.loss_dice: 0.8413, decode.d3.loss_cls: 0.3899, decode.d3.loss_mask: 0.5636, decode.d3.loss_dice: 0.8246, decode.d4.loss_cls: 0.3764, decode.d4.loss_mask: 0.5631, decode.d4.loss_dice: 0.8282, decode.d5.loss_cls: 0.3706, decode.d5.loss_mask: 0.5626, decode.d5.loss_dice: 0.8250, decode.d6.loss_cls: 0.3635, decode.d6.loss_mask: 0.5629, decode.d6.loss_dice: 0.8235, decode.d7.loss_cls: 0.3635, decode.d7.loss_mask: 0.5630, decode.d7.loss_dice: 0.8182, decode.d8.loss_cls: 0.3627, decode.d8.loss_mask: 0.5645, decode.d8.loss_dice: 0.8217, loss: 18.8609, grad_norm: 47.2691 2023-11-12 04:59:11,026 - mmseg - INFO - Iter [44100/160000] lr: 7.244e-05, eta: 16:22:33, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3872, decode.loss_mask: 0.5771, decode.loss_dice: 0.8552, decode.d0.loss_cls: 1.4067, decode.d0.loss_mask: 0.6129, decode.d0.loss_dice: 0.9425, decode.d1.loss_cls: 0.4862, decode.d1.loss_mask: 0.5952, decode.d1.loss_dice: 0.9072, decode.d2.loss_cls: 0.4268, decode.d2.loss_mask: 0.5879, decode.d2.loss_dice: 0.8790, decode.d3.loss_cls: 0.4122, decode.d3.loss_mask: 0.5837, decode.d3.loss_dice: 0.8593, decode.d4.loss_cls: 0.4071, decode.d4.loss_mask: 0.5768, decode.d4.loss_dice: 0.8601, decode.d5.loss_cls: 0.3956, decode.d5.loss_mask: 0.5800, decode.d5.loss_dice: 0.8566, decode.d6.loss_cls: 0.3930, decode.d6.loss_mask: 0.5789, decode.d6.loss_dice: 0.8491, decode.d7.loss_cls: 0.3920, decode.d7.loss_mask: 0.5745, decode.d7.loss_dice: 0.8493, decode.d8.loss_cls: 0.3890, decode.d8.loss_mask: 0.5773, decode.d8.loss_dice: 0.8552, loss: 19.6537, grad_norm: 45.5214 2023-11-12 04:59:35,063 - mmseg - INFO - Iter [44150/160000] lr: 7.241e-05, eta: 16:22:04, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3792, decode.loss_mask: 0.5706, decode.loss_dice: 0.8312, decode.d0.loss_cls: 1.3891, decode.d0.loss_mask: 0.6114, decode.d0.loss_dice: 0.9257, decode.d1.loss_cls: 0.4708, decode.d1.loss_mask: 0.5948, decode.d1.loss_dice: 0.8919, decode.d2.loss_cls: 0.4247, decode.d2.loss_mask: 0.5817, decode.d2.loss_dice: 0.8643, decode.d3.loss_cls: 0.4040, decode.d3.loss_mask: 0.5778, decode.d3.loss_dice: 0.8477, decode.d4.loss_cls: 0.3951, decode.d4.loss_mask: 0.5730, decode.d4.loss_dice: 0.8448, decode.d5.loss_cls: 0.3855, decode.d5.loss_mask: 0.5739, decode.d5.loss_dice: 0.8396, decode.d6.loss_cls: 0.3881, decode.d6.loss_mask: 0.5694, decode.d6.loss_dice: 0.8361, decode.d7.loss_cls: 0.3826, decode.d7.loss_mask: 0.5721, decode.d7.loss_dice: 0.8373, decode.d8.loss_cls: 0.3818, decode.d8.loss_mask: 0.5717, decode.d8.loss_dice: 0.8324, loss: 19.3484, grad_norm: 45.5782 2023-11-12 04:59:58,962 - mmseg - INFO - Iter [44200/160000] lr: 7.238e-05, eta: 16:21:35, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3847, decode.loss_mask: 0.5675, decode.loss_dice: 0.8395, decode.d0.loss_cls: 1.3960, decode.d0.loss_mask: 0.5994, decode.d0.loss_dice: 0.9194, decode.d1.loss_cls: 0.4641, decode.d1.loss_mask: 0.5878, decode.d1.loss_dice: 0.8904, decode.d2.loss_cls: 0.4226, decode.d2.loss_mask: 0.5721, decode.d2.loss_dice: 0.8631, decode.d3.loss_cls: 0.4183, decode.d3.loss_mask: 0.5703, decode.d3.loss_dice: 0.8466, decode.d4.loss_cls: 0.4060, decode.d4.loss_mask: 0.5687, decode.d4.loss_dice: 0.8451, decode.d5.loss_cls: 0.3977, decode.d5.loss_mask: 0.5679, decode.d5.loss_dice: 0.8456, decode.d6.loss_cls: 0.3947, decode.d6.loss_mask: 0.5651, decode.d6.loss_dice: 0.8324, decode.d7.loss_cls: 0.3803, decode.d7.loss_mask: 0.5661, decode.d7.loss_dice: 0.8400, decode.d8.loss_cls: 0.3851, decode.d8.loss_mask: 0.5666, decode.d8.loss_dice: 0.8380, loss: 19.3410, grad_norm: 48.7733 2023-11-12 05:00:25,304 - mmseg - INFO - Iter [44250/160000] lr: 7.234e-05, eta: 16:21:12, time: 0.527, data_time: 0.059, memory: 41146, decode.loss_cls: 0.3676, decode.loss_mask: 0.5727, decode.loss_dice: 0.8445, decode.d0.loss_cls: 1.3669, decode.d0.loss_mask: 0.6131, decode.d0.loss_dice: 0.9264, decode.d1.loss_cls: 0.4663, decode.d1.loss_mask: 0.5901, decode.d1.loss_dice: 0.8915, decode.d2.loss_cls: 0.4237, decode.d2.loss_mask: 0.5757, decode.d2.loss_dice: 0.8670, decode.d3.loss_cls: 0.3997, decode.d3.loss_mask: 0.5749, decode.d3.loss_dice: 0.8498, decode.d4.loss_cls: 0.3833, decode.d4.loss_mask: 0.5747, decode.d4.loss_dice: 0.8526, decode.d5.loss_cls: 0.3753, decode.d5.loss_mask: 0.5739, decode.d5.loss_dice: 0.8482, decode.d6.loss_cls: 0.3707, decode.d6.loss_mask: 0.5736, decode.d6.loss_dice: 0.8463, decode.d7.loss_cls: 0.3713, decode.d7.loss_mask: 0.5742, decode.d7.loss_dice: 0.8515, decode.d8.loss_cls: 0.3643, decode.d8.loss_mask: 0.5749, decode.d8.loss_dice: 0.8460, loss: 19.3110, grad_norm: 47.5228 2023-11-12 05:00:49,547 - mmseg - INFO - Iter [44300/160000] lr: 7.231e-05, eta: 16:20:43, time: 0.485, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3736, decode.loss_mask: 0.5741, decode.loss_dice: 0.8446, decode.d0.loss_cls: 1.4081, decode.d0.loss_mask: 0.6072, decode.d0.loss_dice: 0.9300, decode.d1.loss_cls: 0.4743, decode.d1.loss_mask: 0.5887, decode.d1.loss_dice: 0.8945, decode.d2.loss_cls: 0.4191, decode.d2.loss_mask: 0.5746, decode.d2.loss_dice: 0.8560, decode.d3.loss_cls: 0.3992, decode.d3.loss_mask: 0.5699, decode.d3.loss_dice: 0.8450, decode.d4.loss_cls: 0.3891, decode.d4.loss_mask: 0.5719, decode.d4.loss_dice: 0.8470, decode.d5.loss_cls: 0.3867, decode.d5.loss_mask: 0.5736, decode.d5.loss_dice: 0.8481, decode.d6.loss_cls: 0.3794, decode.d6.loss_mask: 0.5754, decode.d6.loss_dice: 0.8462, decode.d7.loss_cls: 0.3767, decode.d7.loss_mask: 0.5729, decode.d7.loss_dice: 0.8443, decode.d8.loss_cls: 0.3682, decode.d8.loss_mask: 0.5727, decode.d8.loss_dice: 0.8463, loss: 19.3575, grad_norm: 47.4486 2023-11-12 05:01:13,682 - mmseg - INFO - Iter [44350/160000] lr: 7.228e-05, eta: 16:20:14, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3812, decode.loss_mask: 0.5747, decode.loss_dice: 0.8344, decode.d0.loss_cls: 1.3879, decode.d0.loss_mask: 0.6121, decode.d0.loss_dice: 0.9253, decode.d1.loss_cls: 0.4630, decode.d1.loss_mask: 0.5979, decode.d1.loss_dice: 0.8918, decode.d2.loss_cls: 0.4173, decode.d2.loss_mask: 0.5841, decode.d2.loss_dice: 0.8616, decode.d3.loss_cls: 0.3980, decode.d3.loss_mask: 0.5753, decode.d3.loss_dice: 0.8448, decode.d4.loss_cls: 0.3848, decode.d4.loss_mask: 0.5788, decode.d4.loss_dice: 0.8413, decode.d5.loss_cls: 0.3878, decode.d5.loss_mask: 0.5727, decode.d5.loss_dice: 0.8391, decode.d6.loss_cls: 0.3818, decode.d6.loss_mask: 0.5716, decode.d6.loss_dice: 0.8381, decode.d7.loss_cls: 0.3771, decode.d7.loss_mask: 0.5717, decode.d7.loss_dice: 0.8374, decode.d8.loss_cls: 0.3782, decode.d8.loss_mask: 0.5718, decode.d8.loss_dice: 0.8355, loss: 19.3172, grad_norm: 49.5433 2023-11-12 05:01:37,630 - mmseg - INFO - Iter [44400/160000] lr: 7.225e-05, eta: 16:19:45, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3631, decode.loss_mask: 0.5768, decode.loss_dice: 0.8243, decode.d0.loss_cls: 1.3753, decode.d0.loss_mask: 0.6185, decode.d0.loss_dice: 0.9162, decode.d1.loss_cls: 0.4535, decode.d1.loss_mask: 0.6015, decode.d1.loss_dice: 0.8769, decode.d2.loss_cls: 0.4036, decode.d2.loss_mask: 0.5886, decode.d2.loss_dice: 0.8460, decode.d3.loss_cls: 0.3844, decode.d3.loss_mask: 0.5819, decode.d3.loss_dice: 0.8303, decode.d4.loss_cls: 0.3740, decode.d4.loss_mask: 0.5816, decode.d4.loss_dice: 0.8320, decode.d5.loss_cls: 0.3693, decode.d5.loss_mask: 0.5798, decode.d5.loss_dice: 0.8276, decode.d6.loss_cls: 0.3688, decode.d6.loss_mask: 0.5786, decode.d6.loss_dice: 0.8216, decode.d7.loss_cls: 0.3642, decode.d7.loss_mask: 0.5759, decode.d7.loss_dice: 0.8242, decode.d8.loss_cls: 0.3645, decode.d8.loss_mask: 0.5762, decode.d8.loss_dice: 0.8241, loss: 19.1035, grad_norm: 47.5753 2023-11-12 05:02:01,726 - mmseg - INFO - Iter [44450/160000] lr: 7.222e-05, eta: 16:19:16, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3673, decode.loss_mask: 0.5700, decode.loss_dice: 0.8253, decode.d0.loss_cls: 1.3902, decode.d0.loss_mask: 0.6089, decode.d0.loss_dice: 0.9222, decode.d1.loss_cls: 0.4479, decode.d1.loss_mask: 0.5888, decode.d1.loss_dice: 0.8752, decode.d2.loss_cls: 0.3983, decode.d2.loss_mask: 0.5807, decode.d2.loss_dice: 0.8465, decode.d3.loss_cls: 0.3912, decode.d3.loss_mask: 0.5719, decode.d3.loss_dice: 0.8294, decode.d4.loss_cls: 0.3756, decode.d4.loss_mask: 0.5691, decode.d4.loss_dice: 0.8336, decode.d5.loss_cls: 0.3722, decode.d5.loss_mask: 0.5702, decode.d5.loss_dice: 0.8283, decode.d6.loss_cls: 0.3686, decode.d6.loss_mask: 0.5703, decode.d6.loss_dice: 0.8244, decode.d7.loss_cls: 0.3682, decode.d7.loss_mask: 0.5696, decode.d7.loss_dice: 0.8280, decode.d8.loss_cls: 0.3696, decode.d8.loss_mask: 0.5726, decode.d8.loss_dice: 0.8295, loss: 19.0635, grad_norm: 50.4239 2023-11-12 05:02:25,969 - mmseg - INFO - Iter [44500/160000] lr: 7.219e-05, eta: 16:18:48, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3818, decode.loss_mask: 0.5682, decode.loss_dice: 0.8576, decode.d0.loss_cls: 1.3815, decode.d0.loss_mask: 0.6073, decode.d0.loss_dice: 0.9433, decode.d1.loss_cls: 0.4630, decode.d1.loss_mask: 0.5888, decode.d1.loss_dice: 0.9099, decode.d2.loss_cls: 0.4243, decode.d2.loss_mask: 0.5814, decode.d2.loss_dice: 0.8774, decode.d3.loss_cls: 0.4032, decode.d3.loss_mask: 0.5691, decode.d3.loss_dice: 0.8578, decode.d4.loss_cls: 0.3963, decode.d4.loss_mask: 0.5686, decode.d4.loss_dice: 0.8615, decode.d5.loss_cls: 0.3894, decode.d5.loss_mask: 0.5686, decode.d5.loss_dice: 0.8628, decode.d6.loss_cls: 0.3842, decode.d6.loss_mask: 0.5701, decode.d6.loss_dice: 0.8549, decode.d7.loss_cls: 0.3819, decode.d7.loss_mask: 0.5696, decode.d7.loss_dice: 0.8539, decode.d8.loss_cls: 0.3837, decode.d8.loss_mask: 0.5691, decode.d8.loss_dice: 0.8520, loss: 19.4811, grad_norm: 45.7868 2023-11-12 05:02:50,090 - mmseg - INFO - Iter [44550/160000] lr: 7.216e-05, eta: 16:18:19, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3612, decode.loss_mask: 0.5812, decode.loss_dice: 0.8456, decode.d0.loss_cls: 1.3827, decode.d0.loss_mask: 0.6162, decode.d0.loss_dice: 0.9163, decode.d1.loss_cls: 0.4569, decode.d1.loss_mask: 0.6034, decode.d1.loss_dice: 0.8963, decode.d2.loss_cls: 0.4083, decode.d2.loss_mask: 0.5886, decode.d2.loss_dice: 0.8641, decode.d3.loss_cls: 0.3917, decode.d3.loss_mask: 0.5834, decode.d3.loss_dice: 0.8471, decode.d4.loss_cls: 0.3770, decode.d4.loss_mask: 0.5819, decode.d4.loss_dice: 0.8436, decode.d5.loss_cls: 0.3723, decode.d5.loss_mask: 0.5837, decode.d5.loss_dice: 0.8424, decode.d6.loss_cls: 0.3702, decode.d6.loss_mask: 0.5838, decode.d6.loss_dice: 0.8386, decode.d7.loss_cls: 0.3635, decode.d7.loss_mask: 0.5839, decode.d7.loss_dice: 0.8413, decode.d8.loss_cls: 0.3662, decode.d8.loss_mask: 0.5798, decode.d8.loss_dice: 0.8445, loss: 19.3156, grad_norm: 47.1537 2023-11-12 05:03:13,946 - mmseg - INFO - Iter [44600/160000] lr: 7.213e-05, eta: 16:17:49, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3600, decode.loss_mask: 0.5811, decode.loss_dice: 0.8220, decode.d0.loss_cls: 1.3757, decode.d0.loss_mask: 0.6173, decode.d0.loss_dice: 0.9076, decode.d1.loss_cls: 0.4454, decode.d1.loss_mask: 0.6031, decode.d1.loss_dice: 0.8791, decode.d2.loss_cls: 0.4022, decode.d2.loss_mask: 0.5878, decode.d2.loss_dice: 0.8463, decode.d3.loss_cls: 0.3805, decode.d3.loss_mask: 0.5798, decode.d3.loss_dice: 0.8322, decode.d4.loss_cls: 0.3727, decode.d4.loss_mask: 0.5824, decode.d4.loss_dice: 0.8276, decode.d5.loss_cls: 0.3667, decode.d5.loss_mask: 0.5817, decode.d5.loss_dice: 0.8278, decode.d6.loss_cls: 0.3725, decode.d6.loss_mask: 0.5784, decode.d6.loss_dice: 0.8226, decode.d7.loss_cls: 0.3650, decode.d7.loss_mask: 0.5798, decode.d7.loss_dice: 0.8258, decode.d8.loss_cls: 0.3665, decode.d8.loss_mask: 0.5805, decode.d8.loss_dice: 0.8263, loss: 19.0965, grad_norm: 50.4021 2023-11-12 05:03:37,904 - mmseg - INFO - Iter [44650/160000] lr: 7.209e-05, eta: 16:17:20, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3706, decode.loss_mask: 0.5746, decode.loss_dice: 0.8295, decode.d0.loss_cls: 1.3810, decode.d0.loss_mask: 0.6129, decode.d0.loss_dice: 0.9073, decode.d1.loss_cls: 0.4535, decode.d1.loss_mask: 0.6020, decode.d1.loss_dice: 0.8800, decode.d2.loss_cls: 0.4066, decode.d2.loss_mask: 0.5856, decode.d2.loss_dice: 0.8521, decode.d3.loss_cls: 0.3927, decode.d3.loss_mask: 0.5833, decode.d3.loss_dice: 0.8337, decode.d4.loss_cls: 0.3804, decode.d4.loss_mask: 0.5784, decode.d4.loss_dice: 0.8349, decode.d5.loss_cls: 0.3798, decode.d5.loss_mask: 0.5789, decode.d5.loss_dice: 0.8319, decode.d6.loss_cls: 0.3751, decode.d6.loss_mask: 0.5778, decode.d6.loss_dice: 0.8282, decode.d7.loss_cls: 0.3666, decode.d7.loss_mask: 0.5782, decode.d7.loss_dice: 0.8299, decode.d8.loss_cls: 0.3749, decode.d8.loss_mask: 0.5775, decode.d8.loss_dice: 0.8284, loss: 19.1861, grad_norm: 46.9385 2023-11-12 05:04:01,650 - mmseg - INFO - Iter [44700/160000] lr: 7.206e-05, eta: 16:16:51, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3530, decode.loss_mask: 0.5853, decode.loss_dice: 0.8327, decode.d0.loss_cls: 1.3440, decode.d0.loss_mask: 0.6221, decode.d0.loss_dice: 0.9060, decode.d1.loss_cls: 0.4521, decode.d1.loss_mask: 0.6013, decode.d1.loss_dice: 0.8766, decode.d2.loss_cls: 0.3915, decode.d2.loss_mask: 0.5915, decode.d2.loss_dice: 0.8574, decode.d3.loss_cls: 0.3772, decode.d3.loss_mask: 0.5918, decode.d3.loss_dice: 0.8383, decode.d4.loss_cls: 0.3645, decode.d4.loss_mask: 0.5927, decode.d4.loss_dice: 0.8347, decode.d5.loss_cls: 0.3616, decode.d5.loss_mask: 0.5879, decode.d5.loss_dice: 0.8367, decode.d6.loss_cls: 0.3611, decode.d6.loss_mask: 0.5862, decode.d6.loss_dice: 0.8351, decode.d7.loss_cls: 0.3573, decode.d7.loss_mask: 0.5872, decode.d7.loss_dice: 0.8332, decode.d8.loss_cls: 0.3522, decode.d8.loss_mask: 0.5886, decode.d8.loss_dice: 0.8321, loss: 19.1318, grad_norm: 48.9321 2023-11-12 05:04:25,574 - mmseg - INFO - Iter [44750/160000] lr: 7.203e-05, eta: 16:16:21, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3713, decode.loss_mask: 0.5603, decode.loss_dice: 0.8304, decode.d0.loss_cls: 1.3534, decode.d0.loss_mask: 0.5933, decode.d0.loss_dice: 0.9035, decode.d1.loss_cls: 0.4571, decode.d1.loss_mask: 0.5879, decode.d1.loss_dice: 0.8818, decode.d2.loss_cls: 0.4115, decode.d2.loss_mask: 0.5694, decode.d2.loss_dice: 0.8526, decode.d3.loss_cls: 0.3905, decode.d3.loss_mask: 0.5589, decode.d3.loss_dice: 0.8360, decode.d4.loss_cls: 0.3804, decode.d4.loss_mask: 0.5582, decode.d4.loss_dice: 0.8352, decode.d5.loss_cls: 0.3780, decode.d5.loss_mask: 0.5624, decode.d5.loss_dice: 0.8326, decode.d6.loss_cls: 0.3791, decode.d6.loss_mask: 0.5614, decode.d6.loss_dice: 0.8261, decode.d7.loss_cls: 0.3747, decode.d7.loss_mask: 0.5617, decode.d7.loss_dice: 0.8278, decode.d8.loss_cls: 0.3647, decode.d8.loss_mask: 0.5599, decode.d8.loss_dice: 0.8337, loss: 18.9939, grad_norm: 49.0166 2023-11-12 05:04:49,735 - mmseg - INFO - Iter [44800/160000] lr: 7.200e-05, eta: 16:15:53, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3506, decode.loss_mask: 0.5580, decode.loss_dice: 0.8251, decode.d0.loss_cls: 1.3993, decode.d0.loss_mask: 0.6023, decode.d0.loss_dice: 0.9185, decode.d1.loss_cls: 0.4577, decode.d1.loss_mask: 0.5807, decode.d1.loss_dice: 0.8868, decode.d2.loss_cls: 0.3985, decode.d2.loss_mask: 0.5705, decode.d2.loss_dice: 0.8513, decode.d3.loss_cls: 0.3818, decode.d3.loss_mask: 0.5623, decode.d3.loss_dice: 0.8347, decode.d4.loss_cls: 0.3738, decode.d4.loss_mask: 0.5610, decode.d4.loss_dice: 0.8324, decode.d5.loss_cls: 0.3681, decode.d5.loss_mask: 0.5628, decode.d5.loss_dice: 0.8313, decode.d6.loss_cls: 0.3680, decode.d6.loss_mask: 0.5588, decode.d6.loss_dice: 0.8273, decode.d7.loss_cls: 0.3605, decode.d7.loss_mask: 0.5598, decode.d7.loss_dice: 0.8256, decode.d8.loss_cls: 0.3577, decode.d8.loss_mask: 0.5588, decode.d8.loss_dice: 0.8240, loss: 18.9483, grad_norm: 49.5882 2023-11-12 05:05:13,763 - mmseg - INFO - Iter [44850/160000] lr: 7.197e-05, eta: 16:15:24, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3718, decode.loss_mask: 0.5766, decode.loss_dice: 0.8248, decode.d0.loss_cls: 1.3829, decode.d0.loss_mask: 0.6102, decode.d0.loss_dice: 0.9168, decode.d1.loss_cls: 0.4479, decode.d1.loss_mask: 0.5932, decode.d1.loss_dice: 0.8822, decode.d2.loss_cls: 0.4129, decode.d2.loss_mask: 0.5827, decode.d2.loss_dice: 0.8449, decode.d3.loss_cls: 0.3888, decode.d3.loss_mask: 0.5764, decode.d3.loss_dice: 0.8320, decode.d4.loss_cls: 0.3805, decode.d4.loss_mask: 0.5757, decode.d4.loss_dice: 0.8270, decode.d5.loss_cls: 0.3745, decode.d5.loss_mask: 0.5781, decode.d5.loss_dice: 0.8248, decode.d6.loss_cls: 0.3722, decode.d6.loss_mask: 0.5751, decode.d6.loss_dice: 0.8204, decode.d7.loss_cls: 0.3686, decode.d7.loss_mask: 0.5754, decode.d7.loss_dice: 0.8252, decode.d8.loss_cls: 0.3648, decode.d8.loss_mask: 0.5767, decode.d8.loss_dice: 0.8295, loss: 19.1127, grad_norm: 50.9130 2023-11-12 05:05:38,033 - mmseg - INFO - Iter [44900/160000] lr: 7.194e-05, eta: 16:14:55, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.4086, decode.loss_mask: 0.5858, decode.loss_dice: 0.8597, decode.d0.loss_cls: 1.4023, decode.d0.loss_mask: 0.6086, decode.d0.loss_dice: 0.9466, decode.d1.loss_cls: 0.4931, decode.d1.loss_mask: 0.6016, decode.d1.loss_dice: 0.9127, decode.d2.loss_cls: 0.4428, decode.d2.loss_mask: 0.5932, decode.d2.loss_dice: 0.8808, decode.d3.loss_cls: 0.4241, decode.d3.loss_mask: 0.5858, decode.d3.loss_dice: 0.8668, decode.d4.loss_cls: 0.4103, decode.d4.loss_mask: 0.5888, decode.d4.loss_dice: 0.8634, decode.d5.loss_cls: 0.4090, decode.d5.loss_mask: 0.5850, decode.d5.loss_dice: 0.8669, decode.d6.loss_cls: 0.4041, decode.d6.loss_mask: 0.5849, decode.d6.loss_dice: 0.8602, decode.d7.loss_cls: 0.4002, decode.d7.loss_mask: 0.5852, decode.d7.loss_dice: 0.8609, decode.d8.loss_cls: 0.3971, decode.d8.loss_mask: 0.5859, decode.d8.loss_dice: 0.8639, loss: 19.8786, grad_norm: 47.5223 2023-11-12 05:06:02,504 - mmseg - INFO - Iter [44950/160000] lr: 7.191e-05, eta: 16:14:28, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3754, decode.loss_mask: 0.5803, decode.loss_dice: 0.8375, decode.d0.loss_cls: 1.3702, decode.d0.loss_mask: 0.6120, decode.d0.loss_dice: 0.9310, decode.d1.loss_cls: 0.4627, decode.d1.loss_mask: 0.5977, decode.d1.loss_dice: 0.8933, decode.d2.loss_cls: 0.4069, decode.d2.loss_mask: 0.5868, decode.d2.loss_dice: 0.8762, decode.d3.loss_cls: 0.3931, decode.d3.loss_mask: 0.5847, decode.d3.loss_dice: 0.8527, decode.d4.loss_cls: 0.3881, decode.d4.loss_mask: 0.5828, decode.d4.loss_dice: 0.8526, decode.d5.loss_cls: 0.3805, decode.d5.loss_mask: 0.5837, decode.d5.loss_dice: 0.8500, decode.d6.loss_cls: 0.3796, decode.d6.loss_mask: 0.5800, decode.d6.loss_dice: 0.8395, decode.d7.loss_cls: 0.3784, decode.d7.loss_mask: 0.5796, decode.d7.loss_dice: 0.8415, decode.d8.loss_cls: 0.3780, decode.d8.loss_mask: 0.5822, decode.d8.loss_dice: 0.8411, loss: 19.3982, grad_norm: 46.4527 2023-11-12 05:06:26,804 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 05:06:26,805 - mmseg - INFO - Iter [45000/160000] lr: 7.188e-05, eta: 16:13:59, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3609, decode.loss_mask: 0.5434, decode.loss_dice: 0.8230, decode.d0.loss_cls: 1.3576, decode.d0.loss_mask: 0.5764, decode.d0.loss_dice: 0.9086, decode.d1.loss_cls: 0.4486, decode.d1.loss_mask: 0.5619, decode.d1.loss_dice: 0.8730, decode.d2.loss_cls: 0.4073, decode.d2.loss_mask: 0.5508, decode.d2.loss_dice: 0.8376, decode.d3.loss_cls: 0.3903, decode.d3.loss_mask: 0.5436, decode.d3.loss_dice: 0.8293, decode.d4.loss_cls: 0.3822, decode.d4.loss_mask: 0.5440, decode.d4.loss_dice: 0.8233, decode.d5.loss_cls: 0.3764, decode.d5.loss_mask: 0.5449, decode.d5.loss_dice: 0.8239, decode.d6.loss_cls: 0.3724, decode.d6.loss_mask: 0.5419, decode.d6.loss_dice: 0.8191, decode.d7.loss_cls: 0.3673, decode.d7.loss_mask: 0.5432, decode.d7.loss_dice: 0.8249, decode.d8.loss_cls: 0.3629, decode.d8.loss_mask: 0.5447, decode.d8.loss_dice: 0.8227, loss: 18.7062, grad_norm: 45.6587 2023-11-12 05:06:50,780 - mmseg - INFO - Iter [45050/160000] lr: 7.184e-05, eta: 16:13:30, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3665, decode.loss_mask: 0.5616, decode.loss_dice: 0.8418, decode.d0.loss_cls: 1.3703, decode.d0.loss_mask: 0.6055, decode.d0.loss_dice: 0.9254, decode.d1.loss_cls: 0.4609, decode.d1.loss_mask: 0.5860, decode.d1.loss_dice: 0.8863, decode.d2.loss_cls: 0.4051, decode.d2.loss_mask: 0.5727, decode.d2.loss_dice: 0.8659, decode.d3.loss_cls: 0.3848, decode.d3.loss_mask: 0.5662, decode.d3.loss_dice: 0.8527, decode.d4.loss_cls: 0.3745, decode.d4.loss_mask: 0.5647, decode.d4.loss_dice: 0.8434, decode.d5.loss_cls: 0.3722, decode.d5.loss_mask: 0.5633, decode.d5.loss_dice: 0.8428, decode.d6.loss_cls: 0.3705, decode.d6.loss_mask: 0.5628, decode.d6.loss_dice: 0.8413, decode.d7.loss_cls: 0.3714, decode.d7.loss_mask: 0.5636, decode.d7.loss_dice: 0.8370, decode.d8.loss_cls: 0.3701, decode.d8.loss_mask: 0.5641, decode.d8.loss_dice: 0.8418, loss: 19.1352, grad_norm: 45.8388 2023-11-12 05:07:14,677 - mmseg - INFO - Iter [45100/160000] lr: 7.181e-05, eta: 16:13:01, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3744, decode.loss_mask: 0.5700, decode.loss_dice: 0.8387, decode.d0.loss_cls: 1.3786, decode.d0.loss_mask: 0.6109, decode.d0.loss_dice: 0.9383, decode.d1.loss_cls: 0.4599, decode.d1.loss_mask: 0.5915, decode.d1.loss_dice: 0.8967, decode.d2.loss_cls: 0.4176, decode.d2.loss_mask: 0.5774, decode.d2.loss_dice: 0.8639, decode.d3.loss_cls: 0.4003, decode.d3.loss_mask: 0.5723, decode.d3.loss_dice: 0.8451, decode.d4.loss_cls: 0.3856, decode.d4.loss_mask: 0.5739, decode.d4.loss_dice: 0.8488, decode.d5.loss_cls: 0.3810, decode.d5.loss_mask: 0.5695, decode.d5.loss_dice: 0.8438, decode.d6.loss_cls: 0.3716, decode.d6.loss_mask: 0.5717, decode.d6.loss_dice: 0.8368, decode.d7.loss_cls: 0.3728, decode.d7.loss_mask: 0.5691, decode.d7.loss_dice: 0.8366, decode.d8.loss_cls: 0.3684, decode.d8.loss_mask: 0.5709, decode.d8.loss_dice: 0.8370, loss: 19.2730, grad_norm: 48.1245 2023-11-12 05:07:38,461 - mmseg - INFO - Iter [45150/160000] lr: 7.178e-05, eta: 16:12:31, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3936, decode.loss_mask: 0.6042, decode.loss_dice: 0.8705, decode.d0.loss_cls: 1.3705, decode.d0.loss_mask: 0.6380, decode.d0.loss_dice: 0.9527, decode.d1.loss_cls: 0.4816, decode.d1.loss_mask: 0.6267, decode.d1.loss_dice: 0.9331, decode.d2.loss_cls: 0.4381, decode.d2.loss_mask: 0.6147, decode.d2.loss_dice: 0.8934, decode.d3.loss_cls: 0.4201, decode.d3.loss_mask: 0.6066, decode.d3.loss_dice: 0.8784, decode.d4.loss_cls: 0.4025, decode.d4.loss_mask: 0.6026, decode.d4.loss_dice: 0.8759, decode.d5.loss_cls: 0.4052, decode.d5.loss_mask: 0.6025, decode.d5.loss_dice: 0.8778, decode.d6.loss_cls: 0.3959, decode.d6.loss_mask: 0.6045, decode.d6.loss_dice: 0.8662, decode.d7.loss_cls: 0.3963, decode.d7.loss_mask: 0.6001, decode.d7.loss_dice: 0.8714, decode.d8.loss_cls: 0.3951, decode.d8.loss_mask: 0.5992, decode.d8.loss_dice: 0.8703, loss: 20.0879, grad_norm: 48.3716 2023-11-12 05:08:02,171 - mmseg - INFO - Iter [45200/160000] lr: 7.175e-05, eta: 16:12:02, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3428, decode.loss_mask: 0.5679, decode.loss_dice: 0.8073, decode.d0.loss_cls: 1.3420, decode.d0.loss_mask: 0.5996, decode.d0.loss_dice: 0.8909, decode.d1.loss_cls: 0.4281, decode.d1.loss_mask: 0.5907, decode.d1.loss_dice: 0.8701, decode.d2.loss_cls: 0.3880, decode.d2.loss_mask: 0.5764, decode.d2.loss_dice: 0.8412, decode.d3.loss_cls: 0.3698, decode.d3.loss_mask: 0.5716, decode.d3.loss_dice: 0.8188, decode.d4.loss_cls: 0.3629, decode.d4.loss_mask: 0.5718, decode.d4.loss_dice: 0.8195, decode.d5.loss_cls: 0.3532, decode.d5.loss_mask: 0.5676, decode.d5.loss_dice: 0.8144, decode.d6.loss_cls: 0.3523, decode.d6.loss_mask: 0.5677, decode.d6.loss_dice: 0.8089, decode.d7.loss_cls: 0.3472, decode.d7.loss_mask: 0.5683, decode.d7.loss_dice: 0.8127, decode.d8.loss_cls: 0.3412, decode.d8.loss_mask: 0.5702, decode.d8.loss_dice: 0.8123, loss: 18.6754, grad_norm: 48.0982 2023-11-12 05:08:26,091 - mmseg - INFO - Iter [45250/160000] lr: 7.172e-05, eta: 16:11:33, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3827, decode.loss_mask: 0.5816, decode.loss_dice: 0.8672, decode.d0.loss_cls: 1.3909, decode.d0.loss_mask: 0.6181, decode.d0.loss_dice: 0.9596, decode.d1.loss_cls: 0.4744, decode.d1.loss_mask: 0.5973, decode.d1.loss_dice: 0.9168, decode.d2.loss_cls: 0.4275, decode.d2.loss_mask: 0.5854, decode.d2.loss_dice: 0.8880, decode.d3.loss_cls: 0.4090, decode.d3.loss_mask: 0.5831, decode.d3.loss_dice: 0.8691, decode.d4.loss_cls: 0.3929, decode.d4.loss_mask: 0.5825, decode.d4.loss_dice: 0.8672, decode.d5.loss_cls: 0.3911, decode.d5.loss_mask: 0.5825, decode.d5.loss_dice: 0.8695, decode.d6.loss_cls: 0.3862, decode.d6.loss_mask: 0.5822, decode.d6.loss_dice: 0.8679, decode.d7.loss_cls: 0.3823, decode.d7.loss_mask: 0.5804, decode.d7.loss_dice: 0.8707, decode.d8.loss_cls: 0.3822, decode.d8.loss_mask: 0.5805, decode.d8.loss_dice: 0.8647, loss: 19.7333, grad_norm: 43.8911 2023-11-12 05:08:50,266 - mmseg - INFO - Iter [45300/160000] lr: 7.169e-05, eta: 16:11:04, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3829, decode.loss_mask: 0.5735, decode.loss_dice: 0.8518, decode.d0.loss_cls: 1.4160, decode.d0.loss_mask: 0.5978, decode.d0.loss_dice: 0.9311, decode.d1.loss_cls: 0.4794, decode.d1.loss_mask: 0.5885, decode.d1.loss_dice: 0.9075, decode.d2.loss_cls: 0.4272, decode.d2.loss_mask: 0.5801, decode.d2.loss_dice: 0.8721, decode.d3.loss_cls: 0.4113, decode.d3.loss_mask: 0.5770, decode.d3.loss_dice: 0.8584, decode.d4.loss_cls: 0.4014, decode.d4.loss_mask: 0.5761, decode.d4.loss_dice: 0.8551, decode.d5.loss_cls: 0.3908, decode.d5.loss_mask: 0.5739, decode.d5.loss_dice: 0.8582, decode.d6.loss_cls: 0.3852, decode.d6.loss_mask: 0.5753, decode.d6.loss_dice: 0.8522, decode.d7.loss_cls: 0.3860, decode.d7.loss_mask: 0.5723, decode.d7.loss_dice: 0.8520, decode.d8.loss_cls: 0.3828, decode.d8.loss_mask: 0.5748, decode.d8.loss_dice: 0.8529, loss: 19.5436, grad_norm: 47.3056 2023-11-12 05:09:14,646 - mmseg - INFO - Iter [45350/160000] lr: 7.166e-05, eta: 16:10:36, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3845, decode.loss_mask: 0.5977, decode.loss_dice: 0.8533, decode.d0.loss_cls: 1.3922, decode.d0.loss_mask: 0.6371, decode.d0.loss_dice: 0.9362, decode.d1.loss_cls: 0.4672, decode.d1.loss_mask: 0.6177, decode.d1.loss_dice: 0.9074, decode.d2.loss_cls: 0.4250, decode.d2.loss_mask: 0.6072, decode.d2.loss_dice: 0.8717, decode.d3.loss_cls: 0.4077, decode.d3.loss_mask: 0.6008, decode.d3.loss_dice: 0.8570, decode.d4.loss_cls: 0.3971, decode.d4.loss_mask: 0.6032, decode.d4.loss_dice: 0.8575, decode.d5.loss_cls: 0.4000, decode.d5.loss_mask: 0.5998, decode.d5.loss_dice: 0.8572, decode.d6.loss_cls: 0.3913, decode.d6.loss_mask: 0.5990, decode.d6.loss_dice: 0.8514, decode.d7.loss_cls: 0.3927, decode.d7.loss_mask: 0.5990, decode.d7.loss_dice: 0.8528, decode.d8.loss_cls: 0.3908, decode.d8.loss_mask: 0.5969, decode.d8.loss_dice: 0.8555, loss: 19.8069, grad_norm: 49.9450 2023-11-12 05:09:38,623 - mmseg - INFO - Iter [45400/160000] lr: 7.163e-05, eta: 16:10:07, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3785, decode.loss_mask: 0.5582, decode.loss_dice: 0.8467, decode.d0.loss_cls: 1.4164, decode.d0.loss_mask: 0.5904, decode.d0.loss_dice: 0.9359, decode.d1.loss_cls: 0.4644, decode.d1.loss_mask: 0.5759, decode.d1.loss_dice: 0.8973, decode.d2.loss_cls: 0.4250, decode.d2.loss_mask: 0.5648, decode.d2.loss_dice: 0.8705, decode.d3.loss_cls: 0.4075, decode.d3.loss_mask: 0.5577, decode.d3.loss_dice: 0.8512, decode.d4.loss_cls: 0.3979, decode.d4.loss_mask: 0.5580, decode.d4.loss_dice: 0.8507, decode.d5.loss_cls: 0.3936, decode.d5.loss_mask: 0.5579, decode.d5.loss_dice: 0.8502, decode.d6.loss_cls: 0.3843, decode.d6.loss_mask: 0.5540, decode.d6.loss_dice: 0.8477, decode.d7.loss_cls: 0.3867, decode.d7.loss_mask: 0.5562, decode.d7.loss_dice: 0.8483, decode.d8.loss_cls: 0.3818, decode.d8.loss_mask: 0.5558, decode.d8.loss_dice: 0.8453, loss: 19.3089, grad_norm: 45.2238 2023-11-12 05:10:02,614 - mmseg - INFO - Iter [45450/160000] lr: 7.159e-05, eta: 16:09:38, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3588, decode.loss_mask: 0.5767, decode.loss_dice: 0.8507, decode.d0.loss_cls: 1.3509, decode.d0.loss_mask: 0.6101, decode.d0.loss_dice: 0.9224, decode.d1.loss_cls: 0.4471, decode.d1.loss_mask: 0.5952, decode.d1.loss_dice: 0.9009, decode.d2.loss_cls: 0.4013, decode.d2.loss_mask: 0.5836, decode.d2.loss_dice: 0.8654, decode.d3.loss_cls: 0.3881, decode.d3.loss_mask: 0.5771, decode.d3.loss_dice: 0.8583, decode.d4.loss_cls: 0.3763, decode.d4.loss_mask: 0.5777, decode.d4.loss_dice: 0.8592, decode.d5.loss_cls: 0.3619, decode.d5.loss_mask: 0.5784, decode.d5.loss_dice: 0.8551, decode.d6.loss_cls: 0.3718, decode.d6.loss_mask: 0.5736, decode.d6.loss_dice: 0.8450, decode.d7.loss_cls: 0.3654, decode.d7.loss_mask: 0.5737, decode.d7.loss_dice: 0.8490, decode.d8.loss_cls: 0.3611, decode.d8.loss_mask: 0.5759, decode.d8.loss_dice: 0.8521, loss: 19.2629, grad_norm: 46.4903 2023-11-12 05:10:28,835 - mmseg - INFO - Iter [45500/160000] lr: 7.156e-05, eta: 16:09:15, time: 0.524, data_time: 0.059, memory: 41146, decode.loss_cls: 0.3698, decode.loss_mask: 0.5457, decode.loss_dice: 0.8249, decode.d0.loss_cls: 1.4025, decode.d0.loss_mask: 0.5770, decode.d0.loss_dice: 0.9099, decode.d1.loss_cls: 0.4461, decode.d1.loss_mask: 0.5639, decode.d1.loss_dice: 0.8789, decode.d2.loss_cls: 0.4113, decode.d2.loss_mask: 0.5539, decode.d2.loss_dice: 0.8482, decode.d3.loss_cls: 0.3908, decode.d3.loss_mask: 0.5466, decode.d3.loss_dice: 0.8336, decode.d4.loss_cls: 0.3790, decode.d4.loss_mask: 0.5496, decode.d4.loss_dice: 0.8350, decode.d5.loss_cls: 0.3690, decode.d5.loss_mask: 0.5465, decode.d5.loss_dice: 0.8389, decode.d6.loss_cls: 0.3723, decode.d6.loss_mask: 0.5459, decode.d6.loss_dice: 0.8256, decode.d7.loss_cls: 0.3661, decode.d7.loss_mask: 0.5463, decode.d7.loss_dice: 0.8315, decode.d8.loss_cls: 0.3644, decode.d8.loss_mask: 0.5448, decode.d8.loss_dice: 0.8334, loss: 18.8514, grad_norm: 46.0326 2023-11-12 05:10:52,846 - mmseg - INFO - Iter [45550/160000] lr: 7.153e-05, eta: 16:08:46, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3682, decode.loss_mask: 0.5712, decode.loss_dice: 0.8424, decode.d0.loss_cls: 1.3959, decode.d0.loss_mask: 0.6138, decode.d0.loss_dice: 0.9244, decode.d1.loss_cls: 0.4611, decode.d1.loss_mask: 0.5969, decode.d1.loss_dice: 0.8987, decode.d2.loss_cls: 0.4128, decode.d2.loss_mask: 0.5852, decode.d2.loss_dice: 0.8722, decode.d3.loss_cls: 0.3933, decode.d3.loss_mask: 0.5751, decode.d3.loss_dice: 0.8463, decode.d4.loss_cls: 0.3814, decode.d4.loss_mask: 0.5722, decode.d4.loss_dice: 0.8459, decode.d5.loss_cls: 0.3709, decode.d5.loss_mask: 0.5760, decode.d5.loss_dice: 0.8469, decode.d6.loss_cls: 0.3735, decode.d6.loss_mask: 0.5736, decode.d6.loss_dice: 0.8408, decode.d7.loss_cls: 0.3742, decode.d7.loss_mask: 0.5731, decode.d7.loss_dice: 0.8413, decode.d8.loss_cls: 0.3653, decode.d8.loss_mask: 0.5736, decode.d8.loss_dice: 0.8433, loss: 19.3094, grad_norm: 48.8727 2023-11-12 05:11:16,760 - mmseg - INFO - Iter [45600/160000] lr: 7.150e-05, eta: 16:08:17, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3689, decode.loss_mask: 0.5869, decode.loss_dice: 0.8362, decode.d0.loss_cls: 1.3759, decode.d0.loss_mask: 0.6153, decode.d0.loss_dice: 0.9187, decode.d1.loss_cls: 0.4490, decode.d1.loss_mask: 0.6101, decode.d1.loss_dice: 0.8877, decode.d2.loss_cls: 0.4077, decode.d2.loss_mask: 0.5958, decode.d2.loss_dice: 0.8597, decode.d3.loss_cls: 0.3915, decode.d3.loss_mask: 0.5900, decode.d3.loss_dice: 0.8379, decode.d4.loss_cls: 0.3811, decode.d4.loss_mask: 0.5878, decode.d4.loss_dice: 0.8402, decode.d5.loss_cls: 0.3732, decode.d5.loss_mask: 0.5876, decode.d5.loss_dice: 0.8391, decode.d6.loss_cls: 0.3670, decode.d6.loss_mask: 0.5889, decode.d6.loss_dice: 0.8344, decode.d7.loss_cls: 0.3684, decode.d7.loss_mask: 0.5874, decode.d7.loss_dice: 0.8330, decode.d8.loss_cls: 0.3694, decode.d8.loss_mask: 0.5867, decode.d8.loss_dice: 0.8331, loss: 19.3086, grad_norm: 44.6602 2023-11-12 05:11:40,579 - mmseg - INFO - Iter [45650/160000] lr: 7.147e-05, eta: 16:07:48, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3672, decode.loss_mask: 0.5800, decode.loss_dice: 0.8225, decode.d0.loss_cls: 1.3396, decode.d0.loss_mask: 0.6162, decode.d0.loss_dice: 0.9124, decode.d1.loss_cls: 0.4408, decode.d1.loss_mask: 0.6015, decode.d1.loss_dice: 0.8785, decode.d2.loss_cls: 0.4018, decode.d2.loss_mask: 0.5879, decode.d2.loss_dice: 0.8496, decode.d3.loss_cls: 0.3868, decode.d3.loss_mask: 0.5829, decode.d3.loss_dice: 0.8374, decode.d4.loss_cls: 0.3825, decode.d4.loss_mask: 0.5803, decode.d4.loss_dice: 0.8336, decode.d5.loss_cls: 0.3755, decode.d5.loss_mask: 0.5802, decode.d5.loss_dice: 0.8329, decode.d6.loss_cls: 0.3759, decode.d6.loss_mask: 0.5781, decode.d6.loss_dice: 0.8230, decode.d7.loss_cls: 0.3786, decode.d7.loss_mask: 0.5761, decode.d7.loss_dice: 0.8216, decode.d8.loss_cls: 0.3716, decode.d8.loss_mask: 0.5792, decode.d8.loss_dice: 0.8242, loss: 19.1183, grad_norm: 48.6156 2023-11-12 05:12:04,688 - mmseg - INFO - Iter [45700/160000] lr: 7.144e-05, eta: 16:07:19, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3700, decode.loss_mask: 0.5738, decode.loss_dice: 0.8382, decode.d0.loss_cls: 1.3807, decode.d0.loss_mask: 0.6105, decode.d0.loss_dice: 0.9270, decode.d1.loss_cls: 0.4575, decode.d1.loss_mask: 0.5942, decode.d1.loss_dice: 0.8821, decode.d2.loss_cls: 0.4047, decode.d2.loss_mask: 0.5806, decode.d2.loss_dice: 0.8602, decode.d3.loss_cls: 0.3827, decode.d3.loss_mask: 0.5759, decode.d3.loss_dice: 0.8507, decode.d4.loss_cls: 0.3724, decode.d4.loss_mask: 0.5792, decode.d4.loss_dice: 0.8485, decode.d5.loss_cls: 0.3731, decode.d5.loss_mask: 0.5781, decode.d5.loss_dice: 0.8468, decode.d6.loss_cls: 0.3685, decode.d6.loss_mask: 0.5770, decode.d6.loss_dice: 0.8423, decode.d7.loss_cls: 0.3692, decode.d7.loss_mask: 0.5747, decode.d7.loss_dice: 0.8355, decode.d8.loss_cls: 0.3716, decode.d8.loss_mask: 0.5752, decode.d8.loss_dice: 0.8415, loss: 19.2425, grad_norm: 46.7060 2023-11-12 05:12:29,037 - mmseg - INFO - Iter [45750/160000] lr: 7.141e-05, eta: 16:06:51, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3613, decode.loss_mask: 0.5796, decode.loss_dice: 0.8469, decode.d0.loss_cls: 1.3832, decode.d0.loss_mask: 0.6173, decode.d0.loss_dice: 0.9347, decode.d1.loss_cls: 0.4489, decode.d1.loss_mask: 0.6023, decode.d1.loss_dice: 0.9068, decode.d2.loss_cls: 0.4098, decode.d2.loss_mask: 0.5894, decode.d2.loss_dice: 0.8713, decode.d3.loss_cls: 0.3900, decode.d3.loss_mask: 0.5846, decode.d3.loss_dice: 0.8655, decode.d4.loss_cls: 0.3745, decode.d4.loss_mask: 0.5851, decode.d4.loss_dice: 0.8632, decode.d5.loss_cls: 0.3726, decode.d5.loss_mask: 0.5816, decode.d5.loss_dice: 0.8521, decode.d6.loss_cls: 0.3699, decode.d6.loss_mask: 0.5801, decode.d6.loss_dice: 0.8467, decode.d7.loss_cls: 0.3681, decode.d7.loss_mask: 0.5784, decode.d7.loss_dice: 0.8482, decode.d8.loss_cls: 0.3635, decode.d8.loss_mask: 0.5794, decode.d8.loss_dice: 0.8484, loss: 19.4034, grad_norm: 46.8789 2023-11-12 05:12:53,042 - mmseg - INFO - Iter [45800/160000] lr: 7.138e-05, eta: 16:06:22, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3604, decode.loss_mask: 0.5643, decode.loss_dice: 0.8268, decode.d0.loss_cls: 1.3739, decode.d0.loss_mask: 0.5957, decode.d0.loss_dice: 0.9207, decode.d1.loss_cls: 0.4420, decode.d1.loss_mask: 0.5844, decode.d1.loss_dice: 0.8805, decode.d2.loss_cls: 0.3899, decode.d2.loss_mask: 0.5759, decode.d2.loss_dice: 0.8553, decode.d3.loss_cls: 0.3751, decode.d3.loss_mask: 0.5660, decode.d3.loss_dice: 0.8362, decode.d4.loss_cls: 0.3682, decode.d4.loss_mask: 0.5674, decode.d4.loss_dice: 0.8363, decode.d5.loss_cls: 0.3625, decode.d5.loss_mask: 0.5656, decode.d5.loss_dice: 0.8358, decode.d6.loss_cls: 0.3624, decode.d6.loss_mask: 0.5657, decode.d6.loss_dice: 0.8284, decode.d7.loss_cls: 0.3581, decode.d7.loss_mask: 0.5629, decode.d7.loss_dice: 0.8293, decode.d8.loss_cls: 0.3576, decode.d8.loss_mask: 0.5659, decode.d8.loss_dice: 0.8310, loss: 18.9444, grad_norm: 44.5549 2023-11-12 05:13:17,147 - mmseg - INFO - Iter [45850/160000] lr: 7.134e-05, eta: 16:05:54, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3900, decode.loss_mask: 0.5539, decode.loss_dice: 0.8398, decode.d0.loss_cls: 1.3981, decode.d0.loss_mask: 0.5904, decode.d0.loss_dice: 0.9274, decode.d1.loss_cls: 0.4702, decode.d1.loss_mask: 0.5755, decode.d1.loss_dice: 0.8941, decode.d2.loss_cls: 0.4247, decode.d2.loss_mask: 0.5613, decode.d2.loss_dice: 0.8644, decode.d3.loss_cls: 0.4157, decode.d3.loss_mask: 0.5583, decode.d3.loss_dice: 0.8468, decode.d4.loss_cls: 0.3979, decode.d4.loss_mask: 0.5563, decode.d4.loss_dice: 0.8515, decode.d5.loss_cls: 0.4010, decode.d5.loss_mask: 0.5523, decode.d5.loss_dice: 0.8426, decode.d6.loss_cls: 0.4000, decode.d6.loss_mask: 0.5529, decode.d6.loss_dice: 0.8359, decode.d7.loss_cls: 0.3926, decode.d7.loss_mask: 0.5530, decode.d7.loss_dice: 0.8377, decode.d8.loss_cls: 0.3959, decode.d8.loss_mask: 0.5539, decode.d8.loss_dice: 0.8387, loss: 19.2729, grad_norm: 45.9610 2023-11-12 05:13:41,088 - mmseg - INFO - Iter [45900/160000] lr: 7.131e-05, eta: 16:05:25, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3535, decode.loss_mask: 0.5515, decode.loss_dice: 0.8007, decode.d0.loss_cls: 1.3700, decode.d0.loss_mask: 0.5920, decode.d0.loss_dice: 0.8897, decode.d1.loss_cls: 0.4409, decode.d1.loss_mask: 0.5766, decode.d1.loss_dice: 0.8598, decode.d2.loss_cls: 0.3948, decode.d2.loss_mask: 0.5618, decode.d2.loss_dice: 0.8300, decode.d3.loss_cls: 0.3781, decode.d3.loss_mask: 0.5570, decode.d3.loss_dice: 0.8060, decode.d4.loss_cls: 0.3650, decode.d4.loss_mask: 0.5563, decode.d4.loss_dice: 0.8092, decode.d5.loss_cls: 0.3616, decode.d5.loss_mask: 0.5536, decode.d5.loss_dice: 0.8048, decode.d6.loss_cls: 0.3579, decode.d6.loss_mask: 0.5534, decode.d6.loss_dice: 0.8019, decode.d7.loss_cls: 0.3561, decode.d7.loss_mask: 0.5533, decode.d7.loss_dice: 0.8008, decode.d8.loss_cls: 0.3535, decode.d8.loss_mask: 0.5516, decode.d8.loss_dice: 0.8017, loss: 18.5430, grad_norm: 43.5724 2023-11-12 05:14:05,055 - mmseg - INFO - Iter [45950/160000] lr: 7.128e-05, eta: 16:04:56, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3798, decode.loss_mask: 0.5724, decode.loss_dice: 0.8227, decode.d0.loss_cls: 1.3982, decode.d0.loss_mask: 0.6093, decode.d0.loss_dice: 0.9166, decode.d1.loss_cls: 0.4723, decode.d1.loss_mask: 0.5916, decode.d1.loss_dice: 0.8761, decode.d2.loss_cls: 0.4264, decode.d2.loss_mask: 0.5822, decode.d2.loss_dice: 0.8492, decode.d3.loss_cls: 0.4025, decode.d3.loss_mask: 0.5758, decode.d3.loss_dice: 0.8287, decode.d4.loss_cls: 0.3917, decode.d4.loss_mask: 0.5737, decode.d4.loss_dice: 0.8312, decode.d5.loss_cls: 0.3879, decode.d5.loss_mask: 0.5742, decode.d5.loss_dice: 0.8273, decode.d6.loss_cls: 0.3877, decode.d6.loss_mask: 0.5720, decode.d6.loss_dice: 0.8201, decode.d7.loss_cls: 0.3840, decode.d7.loss_mask: 0.5729, decode.d7.loss_dice: 0.8269, decode.d8.loss_cls: 0.3809, decode.d8.loss_mask: 0.5745, decode.d8.loss_dice: 0.8278, loss: 19.2363, grad_norm: 49.6095 2023-11-12 05:14:29,131 - mmseg - INFO - Saving checkpoint at 46000 iterations 2023-11-12 05:14:32,883 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 05:14:32,883 - mmseg - INFO - Iter [46000/160000] lr: 7.125e-05, eta: 16:04:36, time: 0.557, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3568, decode.loss_mask: 0.5845, decode.loss_dice: 0.8394, decode.d0.loss_cls: 1.3821, decode.d0.loss_mask: 0.6216, decode.d0.loss_dice: 0.9364, decode.d1.loss_cls: 0.4501, decode.d1.loss_mask: 0.6059, decode.d1.loss_dice: 0.8998, decode.d2.loss_cls: 0.4032, decode.d2.loss_mask: 0.5906, decode.d2.loss_dice: 0.8695, decode.d3.loss_cls: 0.3854, decode.d3.loss_mask: 0.5838, decode.d3.loss_dice: 0.8496, decode.d4.loss_cls: 0.3760, decode.d4.loss_mask: 0.5817, decode.d4.loss_dice: 0.8492, decode.d5.loss_cls: 0.3705, decode.d5.loss_mask: 0.5833, decode.d5.loss_dice: 0.8453, decode.d6.loss_cls: 0.3704, decode.d6.loss_mask: 0.5809, decode.d6.loss_dice: 0.8424, decode.d7.loss_cls: 0.3681, decode.d7.loss_mask: 0.5809, decode.d7.loss_dice: 0.8369, decode.d8.loss_cls: 0.3574, decode.d8.loss_mask: 0.5843, decode.d8.loss_dice: 0.8441, loss: 19.3302, grad_norm: 46.4800 2023-11-12 05:14:51,958 - mmseg - INFO - per class results: 2023-11-12 05:14:51,963 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.36 | 88.49 | | building | 82.84 | 90.22 | | sky | 94.73 | 97.45 | | floor | 82.95 | 90.99 | | tree | 75.52 | 86.9 | | ceiling | 84.77 | 91.82 | | road | 85.37 | 91.15 | | bed | 89.01 | 95.62 | | windowpane | 64.17 | 82.87 | | grass | 69.05 | 89.54 | | cabinet | 64.04 | 78.41 | | sidewalk | 67.7 | 82.59 | | person | 84.58 | 91.62 | | earth | 42.58 | 59.49 | | door | 53.1 | 70.7 | | table | 66.29 | 77.12 | | mountain | 62.18 | 74.36 | | plant | 52.26 | 65.79 | | curtain | 79.0 | 89.13 | | chair | 62.13 | 76.13 | | car | 86.57 | 92.68 | | water | 57.93 | 76.15 | | painting | 71.62 | 85.28 | | sofa | 72.35 | 86.07 | | shelf | 39.68 | 55.86 | | house | 45.13 | 66.32 | | sea | 64.3 | 82.05 | | mirror | 71.26 | 84.57 | | rug | 67.79 | 76.14 | | field | 31.46 | 43.86 | | armchair | 47.76 | 65.33 | | seat | 63.84 | 84.35 | | fence | 44.14 | 59.08 | | desk | 48.1 | 72.88 | | rock | 50.4 | 75.23 | | wardrobe | 46.62 | 70.28 | | lamp | 68.95 | 83.73 | | bathtub | 82.28 | 90.91 | | railing | 33.75 | 47.56 | | cushion | 62.75 | 77.53 | | base | 29.93 | 55.61 | | box | 28.9 | 41.26 | | column | 47.93 | 64.37 | | signboard | 37.03 | 58.98 | | chest of drawers | 50.37 | 72.95 | | counter | 27.11 | 39.48 | | sand | 42.12 | 44.28 | | sink | 78.84 | 85.11 | | skyscraper | 33.75 | 44.07 | | fireplace | 74.79 | 92.93 | | refrigerator | 85.24 | 91.02 | | grandstand | 42.88 | 71.95 | | path | 29.35 | 45.33 | | stairs | 34.63 | 43.84 | | runway | 79.47 | 80.66 | | case | 62.51 | 80.54 | | pool table | 93.38 | 95.6 | | pillow | 57.43 | 71.51 | | screen door | 58.32 | 62.19 | | stairway | 35.52 | 42.27 | | river | 22.12 | 28.39 | | bridge | 67.87 | 75.96 | | bookcase | 33.75 | 58.86 | | blind | 37.87 | 39.53 | | coffee table | 72.79 | 86.7 | | toilet | 86.33 | 91.46 | | flower | 47.93 | 68.18 | | book | 50.83 | 79.12 | | hill | 3.92 | 6.04 | | bench | 45.73 | 55.82 | | countertop | 65.71 | 77.81 | | stove | 78.04 | 81.85 | | palm | 58.61 | 73.27 | | kitchen island | 48.92 | 73.8 | | computer | 61.66 | 65.68 | | swivel chair | 39.75 | 60.69 | | boat | 80.83 | 85.05 | | bar | 20.39 | 21.77 | | arcade machine | 66.51 | 71.82 | | hovel | 32.82 | 45.88 | | bus | 94.36 | 96.2 | | towel | 71.27 | 82.59 | | light | 57.78 | 75.9 | | truck | 41.47 | 56.75 | | tower | 20.23 | 39.86 | | chandelier | 67.97 | 80.79 | | awning | 34.55 | 49.83 | | streetlight | 42.13 | 65.07 | | booth | 39.31 | 56.04 | | television receiver | 70.01 | 79.14 | | airplane | 62.95 | 69.59 | | dirt track | 0.8 | 2.61 | | apparel | 35.78 | 56.94 | | pole | 28.85 | 44.59 | | land | 7.7 | 10.68 | | bannister | 20.0 | 32.23 | | escalator | 15.6 | 21.24 | | ottoman | 57.46 | 69.75 | | bottle | 32.57 | 42.47 | | buffet | 38.09 | 38.99 | | poster | 23.21 | 44.61 | | stage | 20.94 | 32.47 | | van | 43.64 | 61.64 | | ship | 10.14 | 10.82 | | fountain | 21.33 | 21.71 | | conveyer belt | 54.07 | 67.22 | | canopy | 23.29 | 35.03 | | washer | 65.48 | 74.62 | | plaything | 46.89 | 65.16 | | swimming pool | 36.57 | 38.94 | | stool | 52.05 | 72.21 | | barrel | 79.48 | 97.71 | | basket | 42.9 | 52.52 | | waterfall | 42.89 | 60.0 | | tent | 77.12 | 97.98 | | bag | 20.08 | 28.34 | | minibike | 73.82 | 86.81 | | cradle | 85.67 | 97.03 | | oven | 25.24 | 82.76 | | ball | 47.4 | 60.55 | | food | 58.84 | 71.04 | | step | 13.81 | 18.1 | | tank | 50.36 | 51.28 | | trade name | 21.04 | 26.9 | | microwave | 35.74 | 37.17 | | pot | 48.0 | 57.81 | | animal | 58.66 | 59.74 | | bicycle | 61.26 | 79.96 | | lake | 0.0 | 0.0 | | dishwasher | 77.69 | 84.77 | | screen | 59.92 | 92.94 | | blanket | 29.36 | 37.47 | | sculpture | 67.4 | 86.59 | | hood | 76.17 | 88.8 | | sconce | 51.31 | 69.52 | | vase | 51.72 | 75.25 | | traffic light | 38.86 | 72.34 | | tray | 23.07 | 29.51 | | ashcan | 50.04 | 65.04 | | fan | 69.79 | 85.1 | | pier | 22.53 | 28.23 | | crt screen | 5.31 | 13.71 | | plate | 62.63 | 76.45 | | monitor | 9.29 | 22.87 | | bulletin board | 39.42 | 73.04 | | shower | 1.89 | 31.55 | | radiator | 73.42 | 85.61 | | glass | 20.52 | 22.79 | | clock | 48.33 | 68.23 | | flag | 46.27 | 54.91 | +---------------------+-------+-------+ 2023-11-12 05:14:51,963 - mmseg - INFO - Summary: 2023-11-12 05:14:51,963 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.02 | 51.03 | 64.03 | +-------+-------+-------+ 2023-11-12 05:14:51,964 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 05:14:51,964 - mmseg - INFO - Iter(val) [250] aAcc: 0.8402, mIoU: 0.5103, mAcc: 0.6403, IoU.wall: 0.7936, IoU.building: 0.8284, IoU.sky: 0.9473, IoU.floor: 0.8295, IoU.tree: 0.7552, IoU.ceiling: 0.8477, IoU.road: 0.8537, IoU.bed : 0.8901, IoU.windowpane: 0.6417, IoU.grass: 0.6905, IoU.cabinet: 0.6404, IoU.sidewalk: 0.6770, IoU.person: 0.8458, IoU.earth: 0.4258, IoU.door: 0.5310, IoU.table: 0.6629, IoU.mountain: 0.6218, IoU.plant: 0.5226, IoU.curtain: 0.7900, IoU.chair: 0.6213, IoU.car: 0.8657, IoU.water: 0.5793, IoU.painting: 0.7162, IoU.sofa: 0.7235, IoU.shelf: 0.3968, IoU.house: 0.4513, IoU.sea: 0.6430, IoU.mirror: 0.7126, IoU.rug: 0.6779, IoU.field: 0.3146, IoU.armchair: 0.4776, IoU.seat: 0.6384, IoU.fence: 0.4414, IoU.desk: 0.4810, IoU.rock: 0.5040, IoU.wardrobe: 0.4662, IoU.lamp: 0.6895, IoU.bathtub: 0.8228, IoU.railing: 0.3375, IoU.cushion: 0.6275, IoU.base: 0.2993, IoU.box: 0.2890, IoU.column: 0.4793, IoU.signboard: 0.3703, IoU.chest of drawers: 0.5037, IoU.counter: 0.2711, IoU.sand: 0.4212, IoU.sink: 0.7884, IoU.skyscraper: 0.3375, IoU.fireplace: 0.7479, IoU.refrigerator: 0.8524, IoU.grandstand: 0.4288, IoU.path: 0.2935, IoU.stairs: 0.3463, IoU.runway: 0.7947, IoU.case: 0.6251, IoU.pool table: 0.9338, IoU.pillow: 0.5743, IoU.screen door: 0.5832, IoU.stairway: 0.3552, IoU.river: 0.2212, IoU.bridge: 0.6787, IoU.bookcase: 0.3375, IoU.blind: 0.3787, IoU.coffee table: 0.7279, IoU.toilet: 0.8633, IoU.flower: 0.4793, IoU.book: 0.5083, IoU.hill: 0.0392, IoU.bench: 0.4573, IoU.countertop: 0.6571, IoU.stove: 0.7804, IoU.palm: 0.5861, IoU.kitchen island: 0.4892, IoU.computer: 0.6166, IoU.swivel chair: 0.3975, IoU.boat: 0.8083, IoU.bar: 0.2039, IoU.arcade machine: 0.6651, IoU.hovel: 0.3282, IoU.bus: 0.9436, IoU.towel: 0.7127, IoU.light: 0.5778, IoU.truck: 0.4147, IoU.tower: 0.2023, IoU.chandelier: 0.6797, IoU.awning: 0.3455, IoU.streetlight: 0.4213, IoU.booth: 0.3931, IoU.television receiver: 0.7001, IoU.airplane: 0.6295, IoU.dirt track: 0.0080, IoU.apparel: 0.3578, IoU.pole: 0.2885, IoU.land: 0.0770, IoU.bannister: 0.2000, IoU.escalator: 0.1560, IoU.ottoman: 0.5746, IoU.bottle: 0.3257, IoU.buffet: 0.3809, IoU.poster: 0.2321, IoU.stage: 0.2094, IoU.van: 0.4364, IoU.ship: 0.1014, IoU.fountain: 0.2133, IoU.conveyer belt: 0.5407, IoU.canopy: 0.2329, IoU.washer: 0.6548, IoU.plaything: 0.4689, IoU.swimming pool: 0.3657, IoU.stool: 0.5205, IoU.barrel: 0.7948, IoU.basket: 0.4290, IoU.waterfall: 0.4289, IoU.tent: 0.7712, IoU.bag: 0.2008, IoU.minibike: 0.7382, IoU.cradle: 0.8567, IoU.oven: 0.2524, IoU.ball: 0.4740, IoU.food: 0.5884, IoU.step: 0.1381, IoU.tank: 0.5036, IoU.trade name: 0.2104, IoU.microwave: 0.3574, IoU.pot: 0.4800, IoU.animal: 0.5866, IoU.bicycle: 0.6126, IoU.lake: 0.0000, IoU.dishwasher: 0.7769, IoU.screen: 0.5992, IoU.blanket: 0.2936, IoU.sculpture: 0.6740, IoU.hood: 0.7617, IoU.sconce: 0.5131, IoU.vase: 0.5172, IoU.traffic light: 0.3886, IoU.tray: 0.2307, IoU.ashcan: 0.5004, IoU.fan: 0.6979, IoU.pier: 0.2253, IoU.crt screen: 0.0531, IoU.plate: 0.6263, IoU.monitor: 0.0929, IoU.bulletin board: 0.3942, IoU.shower: 0.0189, IoU.radiator: 0.7342, IoU.glass: 0.2052, IoU.clock: 0.4833, IoU.flag: 0.4627, Acc.wall: 0.8849, Acc.building: 0.9022, Acc.sky: 0.9745, Acc.floor: 0.9099, Acc.tree: 0.8690, Acc.ceiling: 0.9182, Acc.road: 0.9115, Acc.bed : 0.9562, Acc.windowpane: 0.8287, Acc.grass: 0.8954, Acc.cabinet: 0.7841, Acc.sidewalk: 0.8259, Acc.person: 0.9162, Acc.earth: 0.5949, Acc.door: 0.7070, Acc.table: 0.7712, Acc.mountain: 0.7436, Acc.plant: 0.6579, Acc.curtain: 0.8913, Acc.chair: 0.7613, Acc.car: 0.9268, Acc.water: 0.7615, Acc.painting: 0.8528, Acc.sofa: 0.8607, Acc.shelf: 0.5586, Acc.house: 0.6632, Acc.sea: 0.8205, Acc.mirror: 0.8457, Acc.rug: 0.7614, Acc.field: 0.4386, Acc.armchair: 0.6533, Acc.seat: 0.8435, Acc.fence: 0.5908, Acc.desk: 0.7288, Acc.rock: 0.7523, Acc.wardrobe: 0.7028, Acc.lamp: 0.8373, Acc.bathtub: 0.9091, Acc.railing: 0.4756, Acc.cushion: 0.7753, Acc.base: 0.5561, Acc.box: 0.4126, Acc.column: 0.6437, Acc.signboard: 0.5898, Acc.chest of drawers: 0.7295, Acc.counter: 0.3948, Acc.sand: 0.4428, Acc.sink: 0.8511, Acc.skyscraper: 0.4407, Acc.fireplace: 0.9293, Acc.refrigerator: 0.9102, Acc.grandstand: 0.7195, Acc.path: 0.4533, Acc.stairs: 0.4384, Acc.runway: 0.8066, Acc.case: 0.8054, Acc.pool table: 0.9560, Acc.pillow: 0.7151, Acc.screen door: 0.6219, Acc.stairway: 0.4227, Acc.river: 0.2839, Acc.bridge: 0.7596, Acc.bookcase: 0.5886, Acc.blind: 0.3953, Acc.coffee table: 0.8670, Acc.toilet: 0.9146, Acc.flower: 0.6818, Acc.book: 0.7912, Acc.hill: 0.0604, Acc.bench: 0.5582, Acc.countertop: 0.7781, Acc.stove: 0.8185, Acc.palm: 0.7327, Acc.kitchen island: 0.7380, Acc.computer: 0.6568, Acc.swivel chair: 0.6069, Acc.boat: 0.8505, Acc.bar: 0.2177, Acc.arcade machine: 0.7182, Acc.hovel: 0.4588, Acc.bus: 0.9620, Acc.towel: 0.8259, Acc.light: 0.7590, Acc.truck: 0.5675, Acc.tower: 0.3986, Acc.chandelier: 0.8079, Acc.awning: 0.4983, Acc.streetlight: 0.6507, Acc.booth: 0.5604, Acc.television receiver: 0.7914, Acc.airplane: 0.6959, Acc.dirt track: 0.0261, Acc.apparel: 0.5694, Acc.pole: 0.4459, Acc.land: 0.1068, Acc.bannister: 0.3223, Acc.escalator: 0.2124, Acc.ottoman: 0.6975, Acc.bottle: 0.4247, Acc.buffet: 0.3899, Acc.poster: 0.4461, Acc.stage: 0.3247, Acc.van: 0.6164, Acc.ship: 0.1082, Acc.fountain: 0.2171, Acc.conveyer belt: 0.6722, Acc.canopy: 0.3503, Acc.washer: 0.7462, Acc.plaything: 0.6516, Acc.swimming pool: 0.3894, Acc.stool: 0.7221, Acc.barrel: 0.9771, Acc.basket: 0.5252, Acc.waterfall: 0.6000, Acc.tent: 0.9798, Acc.bag: 0.2834, Acc.minibike: 0.8681, Acc.cradle: 0.9703, Acc.oven: 0.8276, Acc.ball: 0.6055, Acc.food: 0.7104, Acc.step: 0.1810, Acc.tank: 0.5128, Acc.trade name: 0.2690, Acc.microwave: 0.3717, Acc.pot: 0.5781, Acc.animal: 0.5974, Acc.bicycle: 0.7996, Acc.lake: 0.0000, Acc.dishwasher: 0.8477, Acc.screen: 0.9294, Acc.blanket: 0.3747, Acc.sculpture: 0.8659, Acc.hood: 0.8880, Acc.sconce: 0.6952, Acc.vase: 0.7525, Acc.traffic light: 0.7234, Acc.tray: 0.2951, Acc.ashcan: 0.6504, Acc.fan: 0.8510, Acc.pier: 0.2823, Acc.crt screen: 0.1371, Acc.plate: 0.7645, Acc.monitor: 0.2287, Acc.bulletin board: 0.7304, Acc.shower: 0.3155, Acc.radiator: 0.8561, Acc.glass: 0.2279, Acc.clock: 0.6823, Acc.flag: 0.5491 2023-11-12 05:15:15,946 - mmseg - INFO - Iter [46050/160000] lr: 7.122e-05, eta: 16:04:55, time: 0.861, data_time: 0.395, memory: 41146, decode.loss_cls: 0.3549, decode.loss_mask: 0.5712, decode.loss_dice: 0.8420, decode.d0.loss_cls: 1.3734, decode.d0.loss_mask: 0.5979, decode.d0.loss_dice: 0.9257, decode.d1.loss_cls: 0.4441, decode.d1.loss_mask: 0.5901, decode.d1.loss_dice: 0.8907, decode.d2.loss_cls: 0.3885, decode.d2.loss_mask: 0.5788, decode.d2.loss_dice: 0.8584, decode.d3.loss_cls: 0.3751, decode.d3.loss_mask: 0.5718, decode.d3.loss_dice: 0.8446, decode.d4.loss_cls: 0.3635, decode.d4.loss_mask: 0.5729, decode.d4.loss_dice: 0.8440, decode.d5.loss_cls: 0.3584, decode.d5.loss_mask: 0.5721, decode.d5.loss_dice: 0.8383, decode.d6.loss_cls: 0.3542, decode.d6.loss_mask: 0.5735, decode.d6.loss_dice: 0.8422, decode.d7.loss_cls: 0.3575, decode.d7.loss_mask: 0.5717, decode.d7.loss_dice: 0.8411, decode.d8.loss_cls: 0.3565, decode.d8.loss_mask: 0.5720, decode.d8.loss_dice: 0.8391, loss: 19.0646, grad_norm: 46.7408 2023-11-12 05:15:40,048 - mmseg - INFO - Iter [46100/160000] lr: 7.119e-05, eta: 16:04:26, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3642, decode.loss_mask: 0.5625, decode.loss_dice: 0.8385, decode.d0.loss_cls: 1.3889, decode.d0.loss_mask: 0.5929, decode.d0.loss_dice: 0.9233, decode.d1.loss_cls: 0.4500, decode.d1.loss_mask: 0.5784, decode.d1.loss_dice: 0.8952, decode.d2.loss_cls: 0.4004, decode.d2.loss_mask: 0.5692, decode.d2.loss_dice: 0.8679, decode.d3.loss_cls: 0.3844, decode.d3.loss_mask: 0.5645, decode.d3.loss_dice: 0.8458, decode.d4.loss_cls: 0.3802, decode.d4.loss_mask: 0.5622, decode.d4.loss_dice: 0.8440, decode.d5.loss_cls: 0.3670, decode.d5.loss_mask: 0.5652, decode.d5.loss_dice: 0.8404, decode.d6.loss_cls: 0.3693, decode.d6.loss_mask: 0.5616, decode.d6.loss_dice: 0.8427, decode.d7.loss_cls: 0.3730, decode.d7.loss_mask: 0.5617, decode.d7.loss_dice: 0.8356, decode.d8.loss_cls: 0.3671, decode.d8.loss_mask: 0.5640, decode.d8.loss_dice: 0.8387, loss: 19.0987, grad_norm: 46.2655 2023-11-12 05:16:04,453 - mmseg - INFO - Iter [46150/160000] lr: 7.116e-05, eta: 16:03:58, time: 0.488, data_time: 0.015, memory: 41146, decode.loss_cls: 0.3941, decode.loss_mask: 0.5553, decode.loss_dice: 0.8282, decode.d0.loss_cls: 1.4058, decode.d0.loss_mask: 0.5834, decode.d0.loss_dice: 0.9149, decode.d1.loss_cls: 0.4760, decode.d1.loss_mask: 0.5706, decode.d1.loss_dice: 0.8824, decode.d2.loss_cls: 0.4274, decode.d2.loss_mask: 0.5634, decode.d2.loss_dice: 0.8544, decode.d3.loss_cls: 0.4100, decode.d3.loss_mask: 0.5541, decode.d3.loss_dice: 0.8356, decode.d4.loss_cls: 0.3999, decode.d4.loss_mask: 0.5544, decode.d4.loss_dice: 0.8313, decode.d5.loss_cls: 0.3913, decode.d5.loss_mask: 0.5566, decode.d5.loss_dice: 0.8378, decode.d6.loss_cls: 0.3942, decode.d6.loss_mask: 0.5539, decode.d6.loss_dice: 0.8293, decode.d7.loss_cls: 0.3933, decode.d7.loss_mask: 0.5534, decode.d7.loss_dice: 0.8266, decode.d8.loss_cls: 0.3929, decode.d8.loss_mask: 0.5553, decode.d8.loss_dice: 0.8229, loss: 19.1484, grad_norm: 46.3781 2023-11-12 05:16:28,448 - mmseg - INFO - Iter [46200/160000] lr: 7.113e-05, eta: 16:03:29, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3745, decode.loss_mask: 0.5582, decode.loss_dice: 0.8416, decode.d0.loss_cls: 1.3899, decode.d0.loss_mask: 0.6047, decode.d0.loss_dice: 0.9291, decode.d1.loss_cls: 0.4569, decode.d1.loss_mask: 0.5812, decode.d1.loss_dice: 0.8968, decode.d2.loss_cls: 0.4081, decode.d2.loss_mask: 0.5728, decode.d2.loss_dice: 0.8690, decode.d3.loss_cls: 0.3939, decode.d3.loss_mask: 0.5646, decode.d3.loss_dice: 0.8590, decode.d4.loss_cls: 0.3842, decode.d4.loss_mask: 0.5676, decode.d4.loss_dice: 0.8539, decode.d5.loss_cls: 0.3806, decode.d5.loss_mask: 0.5650, decode.d5.loss_dice: 0.8515, decode.d6.loss_cls: 0.3843, decode.d6.loss_mask: 0.5617, decode.d6.loss_dice: 0.8468, decode.d7.loss_cls: 0.3770, decode.d7.loss_mask: 0.5613, decode.d7.loss_dice: 0.8481, decode.d8.loss_cls: 0.3779, decode.d8.loss_mask: 0.5615, decode.d8.loss_dice: 0.8473, loss: 19.2689, grad_norm: 46.2529 2023-11-12 05:16:52,340 - mmseg - INFO - Iter [46250/160000] lr: 7.109e-05, eta: 16:03:00, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3629, decode.loss_mask: 0.5680, decode.loss_dice: 0.8335, decode.d0.loss_cls: 1.3480, decode.d0.loss_mask: 0.6035, decode.d0.loss_dice: 0.9054, decode.d1.loss_cls: 0.4476, decode.d1.loss_mask: 0.5851, decode.d1.loss_dice: 0.8826, decode.d2.loss_cls: 0.3994, decode.d2.loss_mask: 0.5744, decode.d2.loss_dice: 0.8545, decode.d3.loss_cls: 0.3844, decode.d3.loss_mask: 0.5702, decode.d3.loss_dice: 0.8372, decode.d4.loss_cls: 0.3749, decode.d4.loss_mask: 0.5706, decode.d4.loss_dice: 0.8344, decode.d5.loss_cls: 0.3680, decode.d5.loss_mask: 0.5693, decode.d5.loss_dice: 0.8365, decode.d6.loss_cls: 0.3683, decode.d6.loss_mask: 0.5678, decode.d6.loss_dice: 0.8303, decode.d7.loss_cls: 0.3658, decode.d7.loss_mask: 0.5665, decode.d7.loss_dice: 0.8308, decode.d8.loss_cls: 0.3552, decode.d8.loss_mask: 0.5666, decode.d8.loss_dice: 0.8345, loss: 18.9963, grad_norm: 44.5000 2023-11-12 05:17:16,446 - mmseg - INFO - Iter [46300/160000] lr: 7.106e-05, eta: 16:02:32, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3703, decode.loss_mask: 0.5745, decode.loss_dice: 0.8330, decode.d0.loss_cls: 1.3717, decode.d0.loss_mask: 0.6173, decode.d0.loss_dice: 0.9194, decode.d1.loss_cls: 0.4590, decode.d1.loss_mask: 0.5985, decode.d1.loss_dice: 0.8825, decode.d2.loss_cls: 0.4104, decode.d2.loss_mask: 0.5835, decode.d2.loss_dice: 0.8630, decode.d3.loss_cls: 0.3902, decode.d3.loss_mask: 0.5798, decode.d3.loss_dice: 0.8473, decode.d4.loss_cls: 0.3759, decode.d4.loss_mask: 0.5796, decode.d4.loss_dice: 0.8451, decode.d5.loss_cls: 0.3735, decode.d5.loss_mask: 0.5773, decode.d5.loss_dice: 0.8425, decode.d6.loss_cls: 0.3710, decode.d6.loss_mask: 0.5764, decode.d6.loss_dice: 0.8337, decode.d7.loss_cls: 0.3684, decode.d7.loss_mask: 0.5765, decode.d7.loss_dice: 0.8331, decode.d8.loss_cls: 0.3666, decode.d8.loss_mask: 0.5765, decode.d8.loss_dice: 0.8354, loss: 19.2320, grad_norm: 51.1852 2023-11-12 05:17:40,358 - mmseg - INFO - Iter [46350/160000] lr: 7.103e-05, eta: 16:02:03, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3750, decode.loss_mask: 0.5633, decode.loss_dice: 0.8389, decode.d0.loss_cls: 1.3452, decode.d0.loss_mask: 0.5964, decode.d0.loss_dice: 0.9365, decode.d1.loss_cls: 0.4632, decode.d1.loss_mask: 0.5771, decode.d1.loss_dice: 0.8818, decode.d2.loss_cls: 0.4160, decode.d2.loss_mask: 0.5679, decode.d2.loss_dice: 0.8606, decode.d3.loss_cls: 0.3995, decode.d3.loss_mask: 0.5617, decode.d3.loss_dice: 0.8465, decode.d4.loss_cls: 0.3907, decode.d4.loss_mask: 0.5636, decode.d4.loss_dice: 0.8465, decode.d5.loss_cls: 0.3894, decode.d5.loss_mask: 0.5618, decode.d5.loss_dice: 0.8468, decode.d6.loss_cls: 0.3860, decode.d6.loss_mask: 0.5604, decode.d6.loss_dice: 0.8336, decode.d7.loss_cls: 0.3829, decode.d7.loss_mask: 0.5602, decode.d7.loss_dice: 0.8400, decode.d8.loss_cls: 0.3736, decode.d8.loss_mask: 0.5638, decode.d8.loss_dice: 0.8360, loss: 19.1650, grad_norm: 49.3631 2023-11-12 05:18:04,362 - mmseg - INFO - Iter [46400/160000] lr: 7.100e-05, eta: 16:01:34, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3394, decode.loss_mask: 0.5328, decode.loss_dice: 0.7810, decode.d0.loss_cls: 1.3393, decode.d0.loss_mask: 0.5690, decode.d0.loss_dice: 0.8714, decode.d1.loss_cls: 0.4203, decode.d1.loss_mask: 0.5513, decode.d1.loss_dice: 0.8267, decode.d2.loss_cls: 0.3792, decode.d2.loss_mask: 0.5373, decode.d2.loss_dice: 0.8043, decode.d3.loss_cls: 0.3594, decode.d3.loss_mask: 0.5373, decode.d3.loss_dice: 0.7854, decode.d4.loss_cls: 0.3496, decode.d4.loss_mask: 0.5390, decode.d4.loss_dice: 0.7918, decode.d5.loss_cls: 0.3440, decode.d5.loss_mask: 0.5346, decode.d5.loss_dice: 0.7885, decode.d6.loss_cls: 0.3418, decode.d6.loss_mask: 0.5354, decode.d6.loss_dice: 0.7793, decode.d7.loss_cls: 0.3380, decode.d7.loss_mask: 0.5329, decode.d7.loss_dice: 0.7816, decode.d8.loss_cls: 0.3391, decode.d8.loss_mask: 0.5322, decode.d8.loss_dice: 0.7826, loss: 17.9445, grad_norm: 44.5957 2023-11-12 05:18:28,395 - mmseg - INFO - Iter [46450/160000] lr: 7.097e-05, eta: 16:01:05, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3623, decode.loss_mask: 0.5699, decode.loss_dice: 0.8242, decode.d0.loss_cls: 1.3575, decode.d0.loss_mask: 0.6015, decode.d0.loss_dice: 0.9090, decode.d1.loss_cls: 0.4433, decode.d1.loss_mask: 0.5892, decode.d1.loss_dice: 0.8823, decode.d2.loss_cls: 0.4016, decode.d2.loss_mask: 0.5742, decode.d2.loss_dice: 0.8500, decode.d3.loss_cls: 0.3799, decode.d3.loss_mask: 0.5704, decode.d3.loss_dice: 0.8317, decode.d4.loss_cls: 0.3682, decode.d4.loss_mask: 0.5714, decode.d4.loss_dice: 0.8382, decode.d5.loss_cls: 0.3691, decode.d5.loss_mask: 0.5702, decode.d5.loss_dice: 0.8341, decode.d6.loss_cls: 0.3652, decode.d6.loss_mask: 0.5721, decode.d6.loss_dice: 0.8279, decode.d7.loss_cls: 0.3639, decode.d7.loss_mask: 0.5699, decode.d7.loss_dice: 0.8256, decode.d8.loss_cls: 0.3618, decode.d8.loss_mask: 0.5726, decode.d8.loss_dice: 0.8309, loss: 18.9879, grad_norm: 51.1627 2023-11-12 05:18:52,445 - mmseg - INFO - Iter [46500/160000] lr: 7.094e-05, eta: 16:00:36, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3530, decode.loss_mask: 0.5713, decode.loss_dice: 0.8135, decode.d0.loss_cls: 1.3549, decode.d0.loss_mask: 0.6046, decode.d0.loss_dice: 0.9029, decode.d1.loss_cls: 0.4478, decode.d1.loss_mask: 0.5943, decode.d1.loss_dice: 0.8618, decode.d2.loss_cls: 0.3973, decode.d2.loss_mask: 0.5826, decode.d2.loss_dice: 0.8395, decode.d3.loss_cls: 0.3732, decode.d3.loss_mask: 0.5747, decode.d3.loss_dice: 0.8223, decode.d4.loss_cls: 0.3657, decode.d4.loss_mask: 0.5730, decode.d4.loss_dice: 0.8226, decode.d5.loss_cls: 0.3640, decode.d5.loss_mask: 0.5761, decode.d5.loss_dice: 0.8204, decode.d6.loss_cls: 0.3578, decode.d6.loss_mask: 0.5742, decode.d6.loss_dice: 0.8135, decode.d7.loss_cls: 0.3615, decode.d7.loss_mask: 0.5728, decode.d7.loss_dice: 0.8148, decode.d8.loss_cls: 0.3609, decode.d8.loss_mask: 0.5730, decode.d8.loss_dice: 0.8108, loss: 18.8549, grad_norm: 51.0079 2023-11-12 05:19:16,859 - mmseg - INFO - Iter [46550/160000] lr: 7.091e-05, eta: 16:00:09, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3691, decode.loss_mask: 0.5704, decode.loss_dice: 0.8385, decode.d0.loss_cls: 1.3546, decode.d0.loss_mask: 0.6079, decode.d0.loss_dice: 0.9251, decode.d1.loss_cls: 0.4591, decode.d1.loss_mask: 0.5891, decode.d1.loss_dice: 0.8844, decode.d2.loss_cls: 0.4071, decode.d2.loss_mask: 0.5817, decode.d2.loss_dice: 0.8631, decode.d3.loss_cls: 0.3915, decode.d3.loss_mask: 0.5731, decode.d3.loss_dice: 0.8496, decode.d4.loss_cls: 0.3849, decode.d4.loss_mask: 0.5711, decode.d4.loss_dice: 0.8457, decode.d5.loss_cls: 0.3798, decode.d5.loss_mask: 0.5742, decode.d5.loss_dice: 0.8436, decode.d6.loss_cls: 0.3702, decode.d6.loss_mask: 0.5738, decode.d6.loss_dice: 0.8412, decode.d7.loss_cls: 0.3725, decode.d7.loss_mask: 0.5718, decode.d7.loss_dice: 0.8389, decode.d8.loss_cls: 0.3710, decode.d8.loss_mask: 0.5741, decode.d8.loss_dice: 0.8365, loss: 19.2136, grad_norm: 46.7231 2023-11-12 05:19:40,832 - mmseg - INFO - Iter [46600/160000] lr: 7.088e-05, eta: 15:59:40, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3366, decode.loss_mask: 0.5577, decode.loss_dice: 0.7924, decode.d0.loss_cls: 1.3442, decode.d0.loss_mask: 0.5936, decode.d0.loss_dice: 0.8825, decode.d1.loss_cls: 0.4145, decode.d1.loss_mask: 0.5787, decode.d1.loss_dice: 0.8526, decode.d2.loss_cls: 0.3682, decode.d2.loss_mask: 0.5697, decode.d2.loss_dice: 0.8250, decode.d3.loss_cls: 0.3566, decode.d3.loss_mask: 0.5598, decode.d3.loss_dice: 0.8023, decode.d4.loss_cls: 0.3422, decode.d4.loss_mask: 0.5620, decode.d4.loss_dice: 0.8053, decode.d5.loss_cls: 0.3444, decode.d5.loss_mask: 0.5576, decode.d5.loss_dice: 0.8005, decode.d6.loss_cls: 0.3416, decode.d6.loss_mask: 0.5575, decode.d6.loss_dice: 0.7963, decode.d7.loss_cls: 0.3354, decode.d7.loss_mask: 0.5582, decode.d7.loss_dice: 0.7920, decode.d8.loss_cls: 0.3355, decode.d8.loss_mask: 0.5565, decode.d8.loss_dice: 0.7925, loss: 18.3118, grad_norm: 48.7380 2023-11-12 05:20:04,944 - mmseg - INFO - Iter [46650/160000] lr: 7.084e-05, eta: 15:59:11, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3967, decode.loss_mask: 0.5705, decode.loss_dice: 0.8549, decode.d0.loss_cls: 1.4383, decode.d0.loss_mask: 0.6088, decode.d0.loss_dice: 0.9549, decode.d1.loss_cls: 0.4896, decode.d1.loss_mask: 0.5918, decode.d1.loss_dice: 0.9114, decode.d2.loss_cls: 0.4437, decode.d2.loss_mask: 0.5822, decode.d2.loss_dice: 0.8829, decode.d3.loss_cls: 0.4218, decode.d3.loss_mask: 0.5718, decode.d3.loss_dice: 0.8659, decode.d4.loss_cls: 0.4083, decode.d4.loss_mask: 0.5734, decode.d4.loss_dice: 0.8610, decode.d5.loss_cls: 0.4027, decode.d5.loss_mask: 0.5743, decode.d5.loss_dice: 0.8636, decode.d6.loss_cls: 0.4023, decode.d6.loss_mask: 0.5716, decode.d6.loss_dice: 0.8578, decode.d7.loss_cls: 0.4019, decode.d7.loss_mask: 0.5729, decode.d7.loss_dice: 0.8565, decode.d8.loss_cls: 0.3934, decode.d8.loss_mask: 0.5738, decode.d8.loss_dice: 0.8590, loss: 19.7580, grad_norm: 45.9898 2023-11-12 05:20:28,872 - mmseg - INFO - Iter [46700/160000] lr: 7.081e-05, eta: 15:58:42, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3731, decode.loss_mask: 0.5468, decode.loss_dice: 0.8097, decode.d0.loss_cls: 1.3675, decode.d0.loss_mask: 0.5809, decode.d0.loss_dice: 0.9118, decode.d1.loss_cls: 0.4554, decode.d1.loss_mask: 0.5727, decode.d1.loss_dice: 0.8667, decode.d2.loss_cls: 0.4115, decode.d2.loss_mask: 0.5572, decode.d2.loss_dice: 0.8384, decode.d3.loss_cls: 0.3947, decode.d3.loss_mask: 0.5467, decode.d3.loss_dice: 0.8177, decode.d4.loss_cls: 0.3858, decode.d4.loss_mask: 0.5426, decode.d4.loss_dice: 0.8160, decode.d5.loss_cls: 0.3788, decode.d5.loss_mask: 0.5449, decode.d5.loss_dice: 0.8125, decode.d6.loss_cls: 0.3745, decode.d6.loss_mask: 0.5447, decode.d6.loss_dice: 0.8084, decode.d7.loss_cls: 0.3724, decode.d7.loss_mask: 0.5470, decode.d7.loss_dice: 0.8090, decode.d8.loss_cls: 0.3688, decode.d8.loss_mask: 0.5478, decode.d8.loss_dice: 0.8115, loss: 18.7155, grad_norm: 47.9594 2023-11-12 05:20:55,151 - mmseg - INFO - Iter [46750/160000] lr: 7.078e-05, eta: 15:58:19, time: 0.526, data_time: 0.060, memory: 41146, decode.loss_cls: 0.3661, decode.loss_mask: 0.5373, decode.loss_dice: 0.8115, decode.d0.loss_cls: 1.3536, decode.d0.loss_mask: 0.5736, decode.d0.loss_dice: 0.9038, decode.d1.loss_cls: 0.4476, decode.d1.loss_mask: 0.5623, decode.d1.loss_dice: 0.8740, decode.d2.loss_cls: 0.4044, decode.d2.loss_mask: 0.5444, decode.d2.loss_dice: 0.8357, decode.d3.loss_cls: 0.3874, decode.d3.loss_mask: 0.5399, decode.d3.loss_dice: 0.8194, decode.d4.loss_cls: 0.3794, decode.d4.loss_mask: 0.5388, decode.d4.loss_dice: 0.8176, decode.d5.loss_cls: 0.3726, decode.d5.loss_mask: 0.5382, decode.d5.loss_dice: 0.8193, decode.d6.loss_cls: 0.3727, decode.d6.loss_mask: 0.5330, decode.d6.loss_dice: 0.8143, decode.d7.loss_cls: 0.3680, decode.d7.loss_mask: 0.5333, decode.d7.loss_dice: 0.8146, decode.d8.loss_cls: 0.3675, decode.d8.loss_mask: 0.5357, decode.d8.loss_dice: 0.8153, loss: 18.5814, grad_norm: 44.7347 2023-11-12 05:21:19,292 - mmseg - INFO - Iter [46800/160000] lr: 7.075e-05, eta: 15:57:51, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3358, decode.loss_mask: 0.5613, decode.loss_dice: 0.8358, decode.d0.loss_cls: 1.3608, decode.d0.loss_mask: 0.6027, decode.d0.loss_dice: 0.9170, decode.d1.loss_cls: 0.4228, decode.d1.loss_mask: 0.5814, decode.d1.loss_dice: 0.8888, decode.d2.loss_cls: 0.3800, decode.d2.loss_mask: 0.5676, decode.d2.loss_dice: 0.8573, decode.d3.loss_cls: 0.3555, decode.d3.loss_mask: 0.5661, decode.d3.loss_dice: 0.8387, decode.d4.loss_cls: 0.3465, decode.d4.loss_mask: 0.5647, decode.d4.loss_dice: 0.8341, decode.d5.loss_cls: 0.3428, decode.d5.loss_mask: 0.5631, decode.d5.loss_dice: 0.8383, decode.d6.loss_cls: 0.3412, decode.d6.loss_mask: 0.5641, decode.d6.loss_dice: 0.8324, decode.d7.loss_cls: 0.3367, decode.d7.loss_mask: 0.5626, decode.d7.loss_dice: 0.8352, decode.d8.loss_cls: 0.3358, decode.d8.loss_mask: 0.5625, decode.d8.loss_dice: 0.8397, loss: 18.7715, grad_norm: 44.8351 2023-11-12 05:21:43,320 - mmseg - INFO - Iter [46850/160000] lr: 7.072e-05, eta: 15:57:22, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3329, decode.loss_mask: 0.5720, decode.loss_dice: 0.8418, decode.d0.loss_cls: 1.3705, decode.d0.loss_mask: 0.6006, decode.d0.loss_dice: 0.9116, decode.d1.loss_cls: 0.4202, decode.d1.loss_mask: 0.5890, decode.d1.loss_dice: 0.8830, decode.d2.loss_cls: 0.3737, decode.d2.loss_mask: 0.5813, decode.d2.loss_dice: 0.8648, decode.d3.loss_cls: 0.3571, decode.d3.loss_mask: 0.5753, decode.d3.loss_dice: 0.8474, decode.d4.loss_cls: 0.3505, decode.d4.loss_mask: 0.5728, decode.d4.loss_dice: 0.8499, decode.d5.loss_cls: 0.3429, decode.d5.loss_mask: 0.5769, decode.d5.loss_dice: 0.8507, decode.d6.loss_cls: 0.3442, decode.d6.loss_mask: 0.5720, decode.d6.loss_dice: 0.8395, decode.d7.loss_cls: 0.3379, decode.d7.loss_mask: 0.5687, decode.d7.loss_dice: 0.8386, decode.d8.loss_cls: 0.3376, decode.d8.loss_mask: 0.5725, decode.d8.loss_dice: 0.8406, loss: 18.9164, grad_norm: 48.1193 2023-11-12 05:22:07,383 - mmseg - INFO - Iter [46900/160000] lr: 7.069e-05, eta: 15:56:54, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3385, decode.loss_mask: 0.5592, decode.loss_dice: 0.8186, decode.d0.loss_cls: 1.3600, decode.d0.loss_mask: 0.5893, decode.d0.loss_dice: 0.9107, decode.d1.loss_cls: 0.4334, decode.d1.loss_mask: 0.5749, decode.d1.loss_dice: 0.8674, decode.d2.loss_cls: 0.3889, decode.d2.loss_mask: 0.5640, decode.d2.loss_dice: 0.8459, decode.d3.loss_cls: 0.3641, decode.d3.loss_mask: 0.5604, decode.d3.loss_dice: 0.8311, decode.d4.loss_cls: 0.3579, decode.d4.loss_mask: 0.5588, decode.d4.loss_dice: 0.8257, decode.d5.loss_cls: 0.3488, decode.d5.loss_mask: 0.5584, decode.d5.loss_dice: 0.8263, decode.d6.loss_cls: 0.3475, decode.d6.loss_mask: 0.5553, decode.d6.loss_dice: 0.8211, decode.d7.loss_cls: 0.3392, decode.d7.loss_mask: 0.5579, decode.d7.loss_dice: 0.8216, decode.d8.loss_cls: 0.3411, decode.d8.loss_mask: 0.5604, decode.d8.loss_dice: 0.8209, loss: 18.6473, grad_norm: 49.9990 2023-11-12 05:22:31,608 - mmseg - INFO - Iter [46950/160000] lr: 7.066e-05, eta: 15:56:25, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3576, decode.loss_mask: 0.5675, decode.loss_dice: 0.8229, decode.d0.loss_cls: 1.3704, decode.d0.loss_mask: 0.5977, decode.d0.loss_dice: 0.9117, decode.d1.loss_cls: 0.4479, decode.d1.loss_mask: 0.5865, decode.d1.loss_dice: 0.8760, decode.d2.loss_cls: 0.4015, decode.d2.loss_mask: 0.5799, decode.d2.loss_dice: 0.8476, decode.d3.loss_cls: 0.3895, decode.d3.loss_mask: 0.5688, decode.d3.loss_dice: 0.8364, decode.d4.loss_cls: 0.3763, decode.d4.loss_mask: 0.5676, decode.d4.loss_dice: 0.8312, decode.d5.loss_cls: 0.3711, decode.d5.loss_mask: 0.5664, decode.d5.loss_dice: 0.8303, decode.d6.loss_cls: 0.3659, decode.d6.loss_mask: 0.5672, decode.d6.loss_dice: 0.8236, decode.d7.loss_cls: 0.3590, decode.d7.loss_mask: 0.5653, decode.d7.loss_dice: 0.8292, decode.d8.loss_cls: 0.3643, decode.d8.loss_mask: 0.5644, decode.d8.loss_dice: 0.8233, loss: 18.9668, grad_norm: 48.8620 2023-11-12 05:22:55,630 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 05:22:55,630 - mmseg - INFO - Iter [47000/160000] lr: 7.063e-05, eta: 15:55:57, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3665, decode.loss_mask: 0.5579, decode.loss_dice: 0.8310, decode.d0.loss_cls: 1.3703, decode.d0.loss_mask: 0.5953, decode.d0.loss_dice: 0.9191, decode.d1.loss_cls: 0.4427, decode.d1.loss_mask: 0.5809, decode.d1.loss_dice: 0.8882, decode.d2.loss_cls: 0.4016, decode.d2.loss_mask: 0.5702, decode.d2.loss_dice: 0.8606, decode.d3.loss_cls: 0.3842, decode.d3.loss_mask: 0.5616, decode.d3.loss_dice: 0.8419, decode.d4.loss_cls: 0.3769, decode.d4.loss_mask: 0.5611, decode.d4.loss_dice: 0.8431, decode.d5.loss_cls: 0.3725, decode.d5.loss_mask: 0.5616, decode.d5.loss_dice: 0.8382, decode.d6.loss_cls: 0.3739, decode.d6.loss_mask: 0.5553, decode.d6.loss_dice: 0.8334, decode.d7.loss_cls: 0.3686, decode.d7.loss_mask: 0.5567, decode.d7.loss_dice: 0.8303, decode.d8.loss_cls: 0.3702, decode.d8.loss_mask: 0.5577, decode.d8.loss_dice: 0.8357, loss: 19.0070, grad_norm: 48.3145 2023-11-12 05:23:19,460 - mmseg - INFO - Iter [47050/160000] lr: 7.059e-05, eta: 15:55:28, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3449, decode.loss_mask: 0.5626, decode.loss_dice: 0.8264, decode.d0.loss_cls: 1.3366, decode.d0.loss_mask: 0.6010, decode.d0.loss_dice: 0.9080, decode.d1.loss_cls: 0.4352, decode.d1.loss_mask: 0.5779, decode.d1.loss_dice: 0.8694, decode.d2.loss_cls: 0.3820, decode.d2.loss_mask: 0.5738, decode.d2.loss_dice: 0.8507, decode.d3.loss_cls: 0.3663, decode.d3.loss_mask: 0.5643, decode.d3.loss_dice: 0.8325, decode.d4.loss_cls: 0.3608, decode.d4.loss_mask: 0.5649, decode.d4.loss_dice: 0.8270, decode.d5.loss_cls: 0.3524, decode.d5.loss_mask: 0.5664, decode.d5.loss_dice: 0.8354, decode.d6.loss_cls: 0.3529, decode.d6.loss_mask: 0.5643, decode.d6.loss_dice: 0.8250, decode.d7.loss_cls: 0.3484, decode.d7.loss_mask: 0.5637, decode.d7.loss_dice: 0.8308, decode.d8.loss_cls: 0.3458, decode.d8.loss_mask: 0.5635, decode.d8.loss_dice: 0.8287, loss: 18.7617, grad_norm: 45.5132 2023-11-12 05:23:43,412 - mmseg - INFO - Iter [47100/160000] lr: 7.056e-05, eta: 15:54:59, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3343, decode.loss_mask: 0.5374, decode.loss_dice: 0.7917, decode.d0.loss_cls: 1.3269, decode.d0.loss_mask: 0.5717, decode.d0.loss_dice: 0.8756, decode.d1.loss_cls: 0.4190, decode.d1.loss_mask: 0.5520, decode.d1.loss_dice: 0.8341, decode.d2.loss_cls: 0.3770, decode.d2.loss_mask: 0.5373, decode.d2.loss_dice: 0.8077, decode.d3.loss_cls: 0.3577, decode.d3.loss_mask: 0.5330, decode.d3.loss_dice: 0.7934, decode.d4.loss_cls: 0.3471, decode.d4.loss_mask: 0.5382, decode.d4.loss_dice: 0.7990, decode.d5.loss_cls: 0.3430, decode.d5.loss_mask: 0.5374, decode.d5.loss_dice: 0.7980, decode.d6.loss_cls: 0.3413, decode.d6.loss_mask: 0.5359, decode.d6.loss_dice: 0.7915, decode.d7.loss_cls: 0.3366, decode.d7.loss_mask: 0.5381, decode.d7.loss_dice: 0.7952, decode.d8.loss_cls: 0.3357, decode.d8.loss_mask: 0.5373, decode.d8.loss_dice: 0.7940, loss: 18.0167, grad_norm: 47.6808 2023-11-12 05:24:07,438 - mmseg - INFO - Iter [47150/160000] lr: 7.053e-05, eta: 15:54:30, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3617, decode.loss_mask: 0.5530, decode.loss_dice: 0.7900, decode.d0.loss_cls: 1.3505, decode.d0.loss_mask: 0.5915, decode.d0.loss_dice: 0.8801, decode.d1.loss_cls: 0.4516, decode.d1.loss_mask: 0.5789, decode.d1.loss_dice: 0.8480, decode.d2.loss_cls: 0.4070, decode.d2.loss_mask: 0.5624, decode.d2.loss_dice: 0.8197, decode.d3.loss_cls: 0.3872, decode.d3.loss_mask: 0.5606, decode.d3.loss_dice: 0.8027, decode.d4.loss_cls: 0.3720, decode.d4.loss_mask: 0.5615, decode.d4.loss_dice: 0.8003, decode.d5.loss_cls: 0.3682, decode.d5.loss_mask: 0.5581, decode.d5.loss_dice: 0.7972, decode.d6.loss_cls: 0.3720, decode.d6.loss_mask: 0.5556, decode.d6.loss_dice: 0.7911, decode.d7.loss_cls: 0.3610, decode.d7.loss_mask: 0.5556, decode.d7.loss_dice: 0.7951, decode.d8.loss_cls: 0.3643, decode.d8.loss_mask: 0.5536, decode.d8.loss_dice: 0.7941, loss: 18.5447, grad_norm: 47.1119 2023-11-12 05:24:32,340 - mmseg - INFO - Iter [47200/160000] lr: 7.050e-05, eta: 15:54:04, time: 0.498, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3660, decode.loss_mask: 0.5630, decode.loss_dice: 0.8285, decode.d0.loss_cls: 1.3667, decode.d0.loss_mask: 0.6046, decode.d0.loss_dice: 0.9185, decode.d1.loss_cls: 0.4559, decode.d1.loss_mask: 0.5788, decode.d1.loss_dice: 0.8764, decode.d2.loss_cls: 0.4007, decode.d2.loss_mask: 0.5659, decode.d2.loss_dice: 0.8512, decode.d3.loss_cls: 0.3825, decode.d3.loss_mask: 0.5629, decode.d3.loss_dice: 0.8340, decode.d4.loss_cls: 0.3787, decode.d4.loss_mask: 0.5606, decode.d4.loss_dice: 0.8345, decode.d5.loss_cls: 0.3734, decode.d5.loss_mask: 0.5609, decode.d5.loss_dice: 0.8283, decode.d6.loss_cls: 0.3724, decode.d6.loss_mask: 0.5612, decode.d6.loss_dice: 0.8263, decode.d7.loss_cls: 0.3690, decode.d7.loss_mask: 0.5651, decode.d7.loss_dice: 0.8288, decode.d8.loss_cls: 0.3661, decode.d8.loss_mask: 0.5638, decode.d8.loss_dice: 0.8288, loss: 18.9737, grad_norm: 45.7223 2023-11-12 05:24:57,037 - mmseg - INFO - Iter [47250/160000] lr: 7.047e-05, eta: 15:53:37, time: 0.494, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3453, decode.loss_mask: 0.5504, decode.loss_dice: 0.8134, decode.d0.loss_cls: 1.3494, decode.d0.loss_mask: 0.5912, decode.d0.loss_dice: 0.8878, decode.d1.loss_cls: 0.4351, decode.d1.loss_mask: 0.5730, decode.d1.loss_dice: 0.8687, decode.d2.loss_cls: 0.3970, decode.d2.loss_mask: 0.5621, decode.d2.loss_dice: 0.8386, decode.d3.loss_cls: 0.3778, decode.d3.loss_mask: 0.5535, decode.d3.loss_dice: 0.8228, decode.d4.loss_cls: 0.3656, decode.d4.loss_mask: 0.5527, decode.d4.loss_dice: 0.8238, decode.d5.loss_cls: 0.3544, decode.d5.loss_mask: 0.5510, decode.d5.loss_dice: 0.8220, decode.d6.loss_cls: 0.3524, decode.d6.loss_mask: 0.5515, decode.d6.loss_dice: 0.8159, decode.d7.loss_cls: 0.3479, decode.d7.loss_mask: 0.5529, decode.d7.loss_dice: 0.8164, decode.d8.loss_cls: 0.3502, decode.d8.loss_mask: 0.5518, decode.d8.loss_dice: 0.8194, loss: 18.5940, grad_norm: 45.0784 2023-11-12 05:25:21,699 - mmseg - INFO - Iter [47300/160000] lr: 7.044e-05, eta: 15:53:10, time: 0.493, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3841, decode.loss_mask: 0.5575, decode.loss_dice: 0.8333, decode.d0.loss_cls: 1.4103, decode.d0.loss_mask: 0.5922, decode.d0.loss_dice: 0.9245, decode.d1.loss_cls: 0.4784, decode.d1.loss_mask: 0.5817, decode.d1.loss_dice: 0.8779, decode.d2.loss_cls: 0.4333, decode.d2.loss_mask: 0.5642, decode.d2.loss_dice: 0.8649, decode.d3.loss_cls: 0.4129, decode.d3.loss_mask: 0.5607, decode.d3.loss_dice: 0.8435, decode.d4.loss_cls: 0.4007, decode.d4.loss_mask: 0.5566, decode.d4.loss_dice: 0.8380, decode.d5.loss_cls: 0.3976, decode.d5.loss_mask: 0.5564, decode.d5.loss_dice: 0.8457, decode.d6.loss_cls: 0.3979, decode.d6.loss_mask: 0.5544, decode.d6.loss_dice: 0.8355, decode.d7.loss_cls: 0.3940, decode.d7.loss_mask: 0.5551, decode.d7.loss_dice: 0.8370, decode.d8.loss_cls: 0.3834, decode.d8.loss_mask: 0.5555, decode.d8.loss_dice: 0.8360, loss: 19.2630, grad_norm: 53.0080 2023-11-12 05:25:46,839 - mmseg - INFO - Iter [47350/160000] lr: 7.041e-05, eta: 15:52:44, time: 0.503, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3795, decode.loss_mask: 0.5626, decode.loss_dice: 0.8359, decode.d0.loss_cls: 1.3921, decode.d0.loss_mask: 0.6054, decode.d0.loss_dice: 0.9256, decode.d1.loss_cls: 0.4609, decode.d1.loss_mask: 0.5845, decode.d1.loss_dice: 0.8858, decode.d2.loss_cls: 0.4112, decode.d2.loss_mask: 0.5778, decode.d2.loss_dice: 0.8595, decode.d3.loss_cls: 0.3988, decode.d3.loss_mask: 0.5652, decode.d3.loss_dice: 0.8392, decode.d4.loss_cls: 0.3905, decode.d4.loss_mask: 0.5660, decode.d4.loss_dice: 0.8370, decode.d5.loss_cls: 0.3912, decode.d5.loss_mask: 0.5637, decode.d5.loss_dice: 0.8383, decode.d6.loss_cls: 0.3845, decode.d6.loss_mask: 0.5661, decode.d6.loss_dice: 0.8309, decode.d7.loss_cls: 0.3862, decode.d7.loss_mask: 0.5648, decode.d7.loss_dice: 0.8327, decode.d8.loss_cls: 0.3803, decode.d8.loss_mask: 0.5625, decode.d8.loss_dice: 0.8377, loss: 19.2165, grad_norm: 45.9887 2023-11-12 05:26:12,285 - mmseg - INFO - Iter [47400/160000] lr: 7.038e-05, eta: 15:52:19, time: 0.509, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3484, decode.loss_mask: 0.5874, decode.loss_dice: 0.8245, decode.d0.loss_cls: 1.3453, decode.d0.loss_mask: 0.6275, decode.d0.loss_dice: 0.9206, decode.d1.loss_cls: 0.4380, decode.d1.loss_mask: 0.6062, decode.d1.loss_dice: 0.8788, decode.d2.loss_cls: 0.3944, decode.d2.loss_mask: 0.5971, decode.d2.loss_dice: 0.8506, decode.d3.loss_cls: 0.3679, decode.d3.loss_mask: 0.5928, decode.d3.loss_dice: 0.8335, decode.d4.loss_cls: 0.3513, decode.d4.loss_mask: 0.5945, decode.d4.loss_dice: 0.8380, decode.d5.loss_cls: 0.3570, decode.d5.loss_mask: 0.5926, decode.d5.loss_dice: 0.8352, decode.d6.loss_cls: 0.3507, decode.d6.loss_mask: 0.5882, decode.d6.loss_dice: 0.8260, decode.d7.loss_cls: 0.3482, decode.d7.loss_mask: 0.5904, decode.d7.loss_dice: 0.8298, decode.d8.loss_cls: 0.3472, decode.d8.loss_mask: 0.5877, decode.d8.loss_dice: 0.8303, loss: 19.0800, grad_norm: 51.6690 2023-11-12 05:26:36,685 - mmseg - INFO - Iter [47450/160000] lr: 7.034e-05, eta: 15:51:51, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3730, decode.loss_mask: 0.5651, decode.loss_dice: 0.8660, decode.d0.loss_cls: 1.3890, decode.d0.loss_mask: 0.5996, decode.d0.loss_dice: 0.9396, decode.d1.loss_cls: 0.4668, decode.d1.loss_mask: 0.5842, decode.d1.loss_dice: 0.9096, decode.d2.loss_cls: 0.4152, decode.d2.loss_mask: 0.5732, decode.d2.loss_dice: 0.8885, decode.d3.loss_cls: 0.3986, decode.d3.loss_mask: 0.5664, decode.d3.loss_dice: 0.8696, decode.d4.loss_cls: 0.3865, decode.d4.loss_mask: 0.5658, decode.d4.loss_dice: 0.8758, decode.d5.loss_cls: 0.3780, decode.d5.loss_mask: 0.5691, decode.d5.loss_dice: 0.8701, decode.d6.loss_cls: 0.3805, decode.d6.loss_mask: 0.5632, decode.d6.loss_dice: 0.8609, decode.d7.loss_cls: 0.3742, decode.d7.loss_mask: 0.5649, decode.d7.loss_dice: 0.8670, decode.d8.loss_cls: 0.3753, decode.d8.loss_mask: 0.5653, decode.d8.loss_dice: 0.8689, loss: 19.4697, grad_norm: 45.8130 2023-11-12 05:27:00,847 - mmseg - INFO - Iter [47500/160000] lr: 7.031e-05, eta: 15:51:23, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3513, decode.loss_mask: 0.5425, decode.loss_dice: 0.8226, decode.d0.loss_cls: 1.3638, decode.d0.loss_mask: 0.5786, decode.d0.loss_dice: 0.9081, decode.d1.loss_cls: 0.4409, decode.d1.loss_mask: 0.5615, decode.d1.loss_dice: 0.8868, decode.d2.loss_cls: 0.3904, decode.d2.loss_mask: 0.5525, decode.d2.loss_dice: 0.8511, decode.d3.loss_cls: 0.3782, decode.d3.loss_mask: 0.5468, decode.d3.loss_dice: 0.8364, decode.d4.loss_cls: 0.3617, decode.d4.loss_mask: 0.5455, decode.d4.loss_dice: 0.8399, decode.d5.loss_cls: 0.3570, decode.d5.loss_mask: 0.5451, decode.d5.loss_dice: 0.8295, decode.d6.loss_cls: 0.3503, decode.d6.loss_mask: 0.5445, decode.d6.loss_dice: 0.8257, decode.d7.loss_cls: 0.3486, decode.d7.loss_mask: 0.5438, decode.d7.loss_dice: 0.8292, decode.d8.loss_cls: 0.3517, decode.d8.loss_mask: 0.5456, decode.d8.loss_dice: 0.8258, loss: 18.6558, grad_norm: 46.0097 2023-11-12 05:27:24,858 - mmseg - INFO - Iter [47550/160000] lr: 7.028e-05, eta: 15:50:54, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3671, decode.loss_mask: 0.5674, decode.loss_dice: 0.8307, decode.d0.loss_cls: 1.3595, decode.d0.loss_mask: 0.6010, decode.d0.loss_dice: 0.9128, decode.d1.loss_cls: 0.4480, decode.d1.loss_mask: 0.5889, decode.d1.loss_dice: 0.8863, decode.d2.loss_cls: 0.4016, decode.d2.loss_mask: 0.5749, decode.d2.loss_dice: 0.8560, decode.d3.loss_cls: 0.3818, decode.d3.loss_mask: 0.5729, decode.d3.loss_dice: 0.8420, decode.d4.loss_cls: 0.3822, decode.d4.loss_mask: 0.5707, decode.d4.loss_dice: 0.8413, decode.d5.loss_cls: 0.3709, decode.d5.loss_mask: 0.5711, decode.d5.loss_dice: 0.8403, decode.d6.loss_cls: 0.3740, decode.d6.loss_mask: 0.5648, decode.d6.loss_dice: 0.8362, decode.d7.loss_cls: 0.3720, decode.d7.loss_mask: 0.5666, decode.d7.loss_dice: 0.8340, decode.d8.loss_cls: 0.3699, decode.d8.loss_mask: 0.5683, decode.d8.loss_dice: 0.8383, loss: 19.0919, grad_norm: 47.5248 2023-11-12 05:27:48,749 - mmseg - INFO - Iter [47600/160000] lr: 7.025e-05, eta: 15:50:25, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3292, decode.loss_mask: 0.5645, decode.loss_dice: 0.8124, decode.d0.loss_cls: 1.3497, decode.d0.loss_mask: 0.5962, decode.d0.loss_dice: 0.8933, decode.d1.loss_cls: 0.4283, decode.d1.loss_mask: 0.5821, decode.d1.loss_dice: 0.8643, decode.d2.loss_cls: 0.3712, decode.d2.loss_mask: 0.5717, decode.d2.loss_dice: 0.8356, decode.d3.loss_cls: 0.3575, decode.d3.loss_mask: 0.5671, decode.d3.loss_dice: 0.8233, decode.d4.loss_cls: 0.3434, decode.d4.loss_mask: 0.5665, decode.d4.loss_dice: 0.8194, decode.d5.loss_cls: 0.3420, decode.d5.loss_mask: 0.5678, decode.d5.loss_dice: 0.8174, decode.d6.loss_cls: 0.3387, decode.d6.loss_mask: 0.5645, decode.d6.loss_dice: 0.8102, decode.d7.loss_cls: 0.3357, decode.d7.loss_mask: 0.5654, decode.d7.loss_dice: 0.8104, decode.d8.loss_cls: 0.3332, decode.d8.loss_mask: 0.5654, decode.d8.loss_dice: 0.8104, loss: 18.5368, grad_norm: 47.8710 2023-11-12 05:28:12,695 - mmseg - INFO - Iter [47650/160000] lr: 7.022e-05, eta: 15:49:56, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3571, decode.loss_mask: 0.5772, decode.loss_dice: 0.8451, decode.d0.loss_cls: 1.3724, decode.d0.loss_mask: 0.6168, decode.d0.loss_dice: 0.9398, decode.d1.loss_cls: 0.4472, decode.d1.loss_mask: 0.5995, decode.d1.loss_dice: 0.9051, decode.d2.loss_cls: 0.3979, decode.d2.loss_mask: 0.5889, decode.d2.loss_dice: 0.8750, decode.d3.loss_cls: 0.3813, decode.d3.loss_mask: 0.5794, decode.d3.loss_dice: 0.8540, decode.d4.loss_cls: 0.3682, decode.d4.loss_mask: 0.5791, decode.d4.loss_dice: 0.8577, decode.d5.loss_cls: 0.3644, decode.d5.loss_mask: 0.5780, decode.d5.loss_dice: 0.8584, decode.d6.loss_cls: 0.3608, decode.d6.loss_mask: 0.5770, decode.d6.loss_dice: 0.8493, decode.d7.loss_cls: 0.3583, decode.d7.loss_mask: 0.5759, decode.d7.loss_dice: 0.8531, decode.d8.loss_cls: 0.3554, decode.d8.loss_mask: 0.5771, decode.d8.loss_dice: 0.8501, loss: 19.2997, grad_norm: 46.7585 2023-11-12 05:28:36,925 - mmseg - INFO - Iter [47700/160000] lr: 7.019e-05, eta: 15:49:28, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3688, decode.loss_mask: 0.5672, decode.loss_dice: 0.8569, decode.d0.loss_cls: 1.3636, decode.d0.loss_mask: 0.5971, decode.d0.loss_dice: 0.9377, decode.d1.loss_cls: 0.4615, decode.d1.loss_mask: 0.5890, decode.d1.loss_dice: 0.9137, decode.d2.loss_cls: 0.4162, decode.d2.loss_mask: 0.5770, decode.d2.loss_dice: 0.8848, decode.d3.loss_cls: 0.3894, decode.d3.loss_mask: 0.5723, decode.d3.loss_dice: 0.8678, decode.d4.loss_cls: 0.3829, decode.d4.loss_mask: 0.5693, decode.d4.loss_dice: 0.8687, decode.d5.loss_cls: 0.3772, decode.d5.loss_mask: 0.5691, decode.d5.loss_dice: 0.8685, decode.d6.loss_cls: 0.3717, decode.d6.loss_mask: 0.5665, decode.d6.loss_dice: 0.8608, decode.d7.loss_cls: 0.3731, decode.d7.loss_mask: 0.5675, decode.d7.loss_dice: 0.8639, decode.d8.loss_cls: 0.3689, decode.d8.loss_mask: 0.5692, decode.d8.loss_dice: 0.8634, loss: 19.4038, grad_norm: 49.0244 2023-11-12 05:29:03,193 - mmseg - INFO - Iter [47750/160000] lr: 7.016e-05, eta: 15:49:05, time: 0.525, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3651, decode.loss_mask: 0.5754, decode.loss_dice: 0.8223, decode.d0.loss_cls: 1.3802, decode.d0.loss_mask: 0.6063, decode.d0.loss_dice: 0.9055, decode.d1.loss_cls: 0.4573, decode.d1.loss_mask: 0.5950, decode.d1.loss_dice: 0.8773, decode.d2.loss_cls: 0.4079, decode.d2.loss_mask: 0.5798, decode.d2.loss_dice: 0.8441, decode.d3.loss_cls: 0.3863, decode.d3.loss_mask: 0.5767, decode.d3.loss_dice: 0.8317, decode.d4.loss_cls: 0.3780, decode.d4.loss_mask: 0.5807, decode.d4.loss_dice: 0.8242, decode.d5.loss_cls: 0.3732, decode.d5.loss_mask: 0.5772, decode.d5.loss_dice: 0.8267, decode.d6.loss_cls: 0.3778, decode.d6.loss_mask: 0.5739, decode.d6.loss_dice: 0.8173, decode.d7.loss_cls: 0.3723, decode.d7.loss_mask: 0.5746, decode.d7.loss_dice: 0.8195, decode.d8.loss_cls: 0.3724, decode.d8.loss_mask: 0.5717, decode.d8.loss_dice: 0.8211, loss: 19.0717, grad_norm: 47.1538 2023-11-12 05:29:28,188 - mmseg - INFO - Iter [47800/160000] lr: 7.013e-05, eta: 15:48:39, time: 0.500, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3613, decode.loss_mask: 0.5463, decode.loss_dice: 0.8225, decode.d0.loss_cls: 1.3724, decode.d0.loss_mask: 0.5830, decode.d0.loss_dice: 0.9155, decode.d1.loss_cls: 0.4627, decode.d1.loss_mask: 0.5668, decode.d1.loss_dice: 0.8756, decode.d2.loss_cls: 0.4089, decode.d2.loss_mask: 0.5564, decode.d2.loss_dice: 0.8495, decode.d3.loss_cls: 0.3952, decode.d3.loss_mask: 0.5499, decode.d3.loss_dice: 0.8298, decode.d4.loss_cls: 0.3842, decode.d4.loss_mask: 0.5501, decode.d4.loss_dice: 0.8252, decode.d5.loss_cls: 0.3726, decode.d5.loss_mask: 0.5483, decode.d5.loss_dice: 0.8296, decode.d6.loss_cls: 0.3677, decode.d6.loss_mask: 0.5465, decode.d6.loss_dice: 0.8220, decode.d7.loss_cls: 0.3658, decode.d7.loss_mask: 0.5466, decode.d7.loss_dice: 0.8222, decode.d8.loss_cls: 0.3637, decode.d8.loss_mask: 0.5482, decode.d8.loss_dice: 0.8244, loss: 18.8129, grad_norm: 49.2018 2023-11-12 05:29:53,414 - mmseg - INFO - Iter [47850/160000] lr: 7.009e-05, eta: 15:48:13, time: 0.505, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3627, decode.loss_mask: 0.5693, decode.loss_dice: 0.8447, decode.d0.loss_cls: 1.4207, decode.d0.loss_mask: 0.6015, decode.d0.loss_dice: 0.9323, decode.d1.loss_cls: 0.4562, decode.d1.loss_mask: 0.5872, decode.d1.loss_dice: 0.8999, decode.d2.loss_cls: 0.4052, decode.d2.loss_mask: 0.5766, decode.d2.loss_dice: 0.8687, decode.d3.loss_cls: 0.3849, decode.d3.loss_mask: 0.5731, decode.d3.loss_dice: 0.8524, decode.d4.loss_cls: 0.3745, decode.d4.loss_mask: 0.5741, decode.d4.loss_dice: 0.8506, decode.d5.loss_cls: 0.3690, decode.d5.loss_mask: 0.5703, decode.d5.loss_dice: 0.8513, decode.d6.loss_cls: 0.3703, decode.d6.loss_mask: 0.5691, decode.d6.loss_dice: 0.8429, decode.d7.loss_cls: 0.3671, decode.d7.loss_mask: 0.5688, decode.d7.loss_dice: 0.8469, decode.d8.loss_cls: 0.3635, decode.d8.loss_mask: 0.5697, decode.d8.loss_dice: 0.8507, loss: 19.2740, grad_norm: 48.2623 2023-11-12 05:30:21,580 - mmseg - INFO - Iter [47900/160000] lr: 7.006e-05, eta: 15:47:54, time: 0.563, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3342, decode.loss_mask: 0.5577, decode.loss_dice: 0.8154, decode.d0.loss_cls: 1.3496, decode.d0.loss_mask: 0.5992, decode.d0.loss_dice: 0.9039, decode.d1.loss_cls: 0.4315, decode.d1.loss_mask: 0.5817, decode.d1.loss_dice: 0.8608, decode.d2.loss_cls: 0.3858, decode.d2.loss_mask: 0.5694, decode.d2.loss_dice: 0.8383, decode.d3.loss_cls: 0.3571, decode.d3.loss_mask: 0.5609, decode.d3.loss_dice: 0.8300, decode.d4.loss_cls: 0.3505, decode.d4.loss_mask: 0.5602, decode.d4.loss_dice: 0.8239, decode.d5.loss_cls: 0.3488, decode.d5.loss_mask: 0.5579, decode.d5.loss_dice: 0.8223, decode.d6.loss_cls: 0.3434, decode.d6.loss_mask: 0.5536, decode.d6.loss_dice: 0.8094, decode.d7.loss_cls: 0.3408, decode.d7.loss_mask: 0.5563, decode.d7.loss_dice: 0.8154, decode.d8.loss_cls: 0.3415, decode.d8.loss_mask: 0.5541, decode.d8.loss_dice: 0.8143, loss: 18.5679, grad_norm: 49.0298 2023-11-12 05:30:46,702 - mmseg - INFO - Iter [47950/160000] lr: 7.003e-05, eta: 15:47:28, time: 0.502, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3526, decode.loss_mask: 0.5704, decode.loss_dice: 0.8323, decode.d0.loss_cls: 1.3344, decode.d0.loss_mask: 0.6052, decode.d0.loss_dice: 0.9175, decode.d1.loss_cls: 0.4406, decode.d1.loss_mask: 0.5940, decode.d1.loss_dice: 0.8903, decode.d2.loss_cls: 0.3932, decode.d2.loss_mask: 0.5804, decode.d2.loss_dice: 0.8584, decode.d3.loss_cls: 0.3750, decode.d3.loss_mask: 0.5753, decode.d3.loss_dice: 0.8409, decode.d4.loss_cls: 0.3684, decode.d4.loss_mask: 0.5732, decode.d4.loss_dice: 0.8368, decode.d5.loss_cls: 0.3596, decode.d5.loss_mask: 0.5757, decode.d5.loss_dice: 0.8437, decode.d6.loss_cls: 0.3603, decode.d6.loss_mask: 0.5746, decode.d6.loss_dice: 0.8336, decode.d7.loss_cls: 0.3551, decode.d7.loss_mask: 0.5740, decode.d7.loss_dice: 0.8374, decode.d8.loss_cls: 0.3518, decode.d8.loss_mask: 0.5727, decode.d8.loss_dice: 0.8360, loss: 19.0133, grad_norm: 46.7263 2023-11-12 05:31:13,885 - mmseg - INFO - Saving checkpoint at 48000 iterations 2023-11-12 05:31:17,909 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 05:31:17,909 - mmseg - INFO - Iter [48000/160000] lr: 7.000e-05, eta: 15:47:17, time: 0.624, data_time: 0.058, memory: 41146, decode.loss_cls: 0.3585, decode.loss_mask: 0.5734, decode.loss_dice: 0.8301, decode.d0.loss_cls: 1.3670, decode.d0.loss_mask: 0.6078, decode.d0.loss_dice: 0.9017, decode.d1.loss_cls: 0.4361, decode.d1.loss_mask: 0.5912, decode.d1.loss_dice: 0.8741, decode.d2.loss_cls: 0.3984, decode.d2.loss_mask: 0.5826, decode.d2.loss_dice: 0.8587, decode.d3.loss_cls: 0.3812, decode.d3.loss_mask: 0.5765, decode.d3.loss_dice: 0.8393, decode.d4.loss_cls: 0.3749, decode.d4.loss_mask: 0.5763, decode.d4.loss_dice: 0.8345, decode.d5.loss_cls: 0.3637, decode.d5.loss_mask: 0.5738, decode.d5.loss_dice: 0.8436, decode.d6.loss_cls: 0.3651, decode.d6.loss_mask: 0.5751, decode.d6.loss_dice: 0.8262, decode.d7.loss_cls: 0.3611, decode.d7.loss_mask: 0.5756, decode.d7.loss_dice: 0.8281, decode.d8.loss_cls: 0.3625, decode.d8.loss_mask: 0.5749, decode.d8.loss_dice: 0.8301, loss: 19.0425, grad_norm: 48.5276 2023-11-12 05:31:37,319 - mmseg - INFO - per class results: 2023-11-12 05:31:37,324 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.12 | 87.4 | | building | 82.84 | 90.12 | | sky | 94.94 | 97.23 | | floor | 83.7 | 89.4 | | tree | 75.81 | 86.49 | | ceiling | 85.61 | 91.56 | | road | 84.56 | 90.3 | | bed | 90.36 | 95.69 | | windowpane | 64.53 | 80.67 | | grass | 69.77 | 81.84 | | cabinet | 64.61 | 74.86 | | sidewalk | 69.01 | 82.29 | | person | 84.96 | 92.06 | | earth | 39.76 | 63.93 | | door | 53.27 | 71.04 | | table | 65.11 | 80.3 | | mountain | 63.43 | 75.03 | | plant | 53.88 | 68.73 | | curtain | 80.1 | 89.74 | | chair | 62.54 | 76.57 | | car | 86.89 | 94.07 | | water | 55.42 | 83.37 | | painting | 73.42 | 84.17 | | sofa | 68.85 | 81.13 | | shelf | 37.76 | 53.22 | | house | 49.28 | 76.29 | | sea | 52.96 | 57.52 | | mirror | 73.63 | 85.89 | | rug | 68.05 | 80.79 | | field | 30.14 | 43.45 | | armchair | 47.1 | 71.34 | | seat | 59.36 | 83.58 | | fence | 45.97 | 67.9 | | desk | 49.08 | 75.02 | | rock | 52.8 | 83.14 | | wardrobe | 46.64 | 69.61 | | lamp | 71.31 | 86.12 | | bathtub | 77.48 | 85.89 | | railing | 33.3 | 54.94 | | cushion | 66.16 | 75.44 | | base | 29.97 | 70.82 | | box | 27.51 | 37.87 | | column | 46.69 | 67.57 | | signboard | 39.27 | 60.64 | | chest of drawers | 47.48 | 68.84 | | counter | 34.98 | 46.34 | | sand | 43.92 | 49.48 | | sink | 76.57 | 86.98 | | skyscraper | 36.43 | 44.82 | | fireplace | 74.92 | 94.18 | | refrigerator | 82.68 | 88.62 | | grandstand | 40.59 | 74.12 | | path | 26.8 | 43.56 | | stairs | 19.49 | 22.68 | | runway | 71.83 | 80.41 | | case | 52.05 | 70.08 | | pool table | 94.93 | 97.65 | | pillow | 65.16 | 76.94 | | screen door | 53.72 | 60.41 | | stairway | 25.84 | 51.94 | | river | 11.49 | 12.29 | | bridge | 59.68 | 90.14 | | bookcase | 28.25 | 50.82 | | blind | 47.44 | 54.05 | | coffee table | 63.62 | 84.24 | | toilet | 88.23 | 92.07 | | flower | 39.2 | 52.94 | | book | 49.81 | 71.36 | | hill | 6.7 | 12.69 | | bench | 45.82 | 56.05 | | countertop | 63.07 | 79.25 | | stove | 79.28 | 88.64 | | palm | 55.83 | 74.93 | | kitchen island | 51.43 | 81.07 | | computer | 63.31 | 68.17 | | swivel chair | 43.68 | 60.68 | | boat | 36.88 | 50.51 | | bar | 16.97 | 17.54 | | arcade machine | 58.15 | 62.58 | | hovel | 29.18 | 47.11 | | bus | 92.31 | 97.33 | | towel | 75.02 | 83.33 | | light | 62.11 | 77.96 | | truck | 40.57 | 57.14 | | tower | 23.79 | 48.47 | | chandelier | 73.02 | 86.48 | | awning | 37.85 | 52.53 | | streetlight | 42.85 | 64.05 | | booth | 31.23 | 47.88 | | television receiver | 70.43 | 81.58 | | airplane | 65.4 | 73.96 | | dirt track | 0.0 | 0.0 | | apparel | 24.16 | 54.46 | | pole | 35.77 | 57.75 | | land | 4.28 | 9.78 | | bannister | 20.85 | 32.37 | | escalator | 50.14 | 75.42 | | ottoman | 58.18 | 73.0 | | bottle | 24.02 | 30.77 | | buffet | 34.25 | 42.63 | | poster | 22.53 | 43.63 | | stage | 22.01 | 52.71 | | van | 42.06 | 60.12 | | ship | 7.61 | 10.8 | | fountain | 5.73 | 6.91 | | conveyer belt | 46.48 | 72.07 | | canopy | 21.93 | 34.52 | | washer | 70.32 | 72.87 | | plaything | 42.81 | 63.24 | | swimming pool | 54.01 | 61.58 | | stool | 49.55 | 66.67 | | barrel | 78.39 | 87.33 | | basket | 44.11 | 60.0 | | waterfall | 63.51 | 91.71 | | tent | 94.53 | 98.17 | | bag | 16.04 | 22.26 | | minibike | 71.63 | 90.7 | | cradle | 85.68 | 97.31 | | oven | 22.16 | 61.69 | | ball | 28.01 | 32.13 | | food | 63.08 | 77.78 | | step | 14.47 | 28.49 | | tank | 49.6 | 56.08 | | trade name | 20.2 | 24.68 | | microwave | 42.65 | 44.96 | | pot | 48.15 | 58.82 | | animal | 71.85 | 74.33 | | bicycle | 62.48 | 84.48 | | lake | 0.0 | 0.0 | | dishwasher | 77.86 | 82.83 | | screen | 60.36 | 91.95 | | blanket | 26.91 | 33.54 | | sculpture | 62.2 | 84.36 | | hood | 84.5 | 91.84 | | sconce | 51.09 | 65.11 | | vase | 51.29 | 70.14 | | traffic light | 40.59 | 57.57 | | tray | 19.72 | 32.47 | | ashcan | 50.39 | 64.31 | | fan | 70.99 | 83.19 | | pier | 16.89 | 30.94 | | crt screen | 5.61 | 14.04 | | plate | 62.26 | 78.59 | | monitor | 6.63 | 12.87 | | bulletin board | 41.24 | 77.27 | | shower | 2.24 | 25.37 | | radiator | 73.8 | 85.01 | | glass | 22.3 | 25.12 | | clock | 46.03 | 65.35 | | flag | 43.66 | 51.64 | +---------------------+-------+-------+ 2023-11-12 05:31:37,324 - mmseg - INFO - Summary: 2023-11-12 05:31:37,324 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.74 | 50.44 | 64.44 | +-------+-------+-------+ 2023-11-12 05:31:37,325 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 05:31:37,325 - mmseg - INFO - Iter(val) [250] aAcc: 0.8374, mIoU: 0.5044, mAcc: 0.6444, IoU.wall: 0.7912, IoU.building: 0.8284, IoU.sky: 0.9494, IoU.floor: 0.8370, IoU.tree: 0.7581, IoU.ceiling: 0.8561, IoU.road: 0.8456, IoU.bed : 0.9036, IoU.windowpane: 0.6453, IoU.grass: 0.6977, IoU.cabinet: 0.6461, IoU.sidewalk: 0.6901, IoU.person: 0.8496, IoU.earth: 0.3976, IoU.door: 0.5327, IoU.table: 0.6511, IoU.mountain: 0.6343, IoU.plant: 0.5388, IoU.curtain: 0.8010, IoU.chair: 0.6254, IoU.car: 0.8689, IoU.water: 0.5542, IoU.painting: 0.7342, IoU.sofa: 0.6885, IoU.shelf: 0.3776, IoU.house: 0.4928, IoU.sea: 0.5296, IoU.mirror: 0.7363, IoU.rug: 0.6805, IoU.field: 0.3014, IoU.armchair: 0.4710, IoU.seat: 0.5936, IoU.fence: 0.4597, IoU.desk: 0.4908, IoU.rock: 0.5280, IoU.wardrobe: 0.4664, IoU.lamp: 0.7131, IoU.bathtub: 0.7748, IoU.railing: 0.3330, IoU.cushion: 0.6616, IoU.base: 0.2997, IoU.box: 0.2751, IoU.column: 0.4669, IoU.signboard: 0.3927, IoU.chest of drawers: 0.4748, IoU.counter: 0.3498, IoU.sand: 0.4392, IoU.sink: 0.7657, IoU.skyscraper: 0.3643, IoU.fireplace: 0.7492, IoU.refrigerator: 0.8268, IoU.grandstand: 0.4059, IoU.path: 0.2680, IoU.stairs: 0.1949, IoU.runway: 0.7183, IoU.case: 0.5205, IoU.pool table: 0.9493, IoU.pillow: 0.6516, IoU.screen door: 0.5372, IoU.stairway: 0.2584, IoU.river: 0.1149, IoU.bridge: 0.5968, IoU.bookcase: 0.2825, IoU.blind: 0.4744, IoU.coffee table: 0.6362, IoU.toilet: 0.8823, IoU.flower: 0.3920, IoU.book: 0.4981, IoU.hill: 0.0670, IoU.bench: 0.4582, IoU.countertop: 0.6307, IoU.stove: 0.7928, IoU.palm: 0.5583, IoU.kitchen island: 0.5143, IoU.computer: 0.6331, IoU.swivel chair: 0.4368, IoU.boat: 0.3688, IoU.bar: 0.1697, IoU.arcade machine: 0.5815, IoU.hovel: 0.2918, IoU.bus: 0.9231, IoU.towel: 0.7502, IoU.light: 0.6211, IoU.truck: 0.4057, IoU.tower: 0.2379, IoU.chandelier: 0.7302, IoU.awning: 0.3785, IoU.streetlight: 0.4285, IoU.booth: 0.3123, IoU.television receiver: 0.7043, IoU.airplane: 0.6540, IoU.dirt track: 0.0000, IoU.apparel: 0.2416, IoU.pole: 0.3577, IoU.land: 0.0428, IoU.bannister: 0.2085, IoU.escalator: 0.5014, IoU.ottoman: 0.5818, IoU.bottle: 0.2402, IoU.buffet: 0.3425, IoU.poster: 0.2253, IoU.stage: 0.2201, IoU.van: 0.4206, IoU.ship: 0.0761, IoU.fountain: 0.0573, IoU.conveyer belt: 0.4648, IoU.canopy: 0.2193, IoU.washer: 0.7032, IoU.plaything: 0.4281, IoU.swimming pool: 0.5401, IoU.stool: 0.4955, IoU.barrel: 0.7839, IoU.basket: 0.4411, IoU.waterfall: 0.6351, IoU.tent: 0.9453, IoU.bag: 0.1604, IoU.minibike: 0.7163, IoU.cradle: 0.8568, IoU.oven: 0.2216, IoU.ball: 0.2801, IoU.food: 0.6308, IoU.step: 0.1447, IoU.tank: 0.4960, IoU.trade name: 0.2020, IoU.microwave: 0.4265, IoU.pot: 0.4815, IoU.animal: 0.7185, IoU.bicycle: 0.6248, IoU.lake: 0.0000, IoU.dishwasher: 0.7786, IoU.screen: 0.6036, IoU.blanket: 0.2691, IoU.sculpture: 0.6220, IoU.hood: 0.8450, IoU.sconce: 0.5109, IoU.vase: 0.5129, IoU.traffic light: 0.4059, IoU.tray: 0.1972, IoU.ashcan: 0.5039, IoU.fan: 0.7099, IoU.pier: 0.1689, IoU.crt screen: 0.0561, IoU.plate: 0.6226, IoU.monitor: 0.0663, IoU.bulletin board: 0.4124, IoU.shower: 0.0224, IoU.radiator: 0.7380, IoU.glass: 0.2230, IoU.clock: 0.4603, IoU.flag: 0.4366, Acc.wall: 0.8740, Acc.building: 0.9012, Acc.sky: 0.9723, Acc.floor: 0.8940, Acc.tree: 0.8649, Acc.ceiling: 0.9156, Acc.road: 0.9030, Acc.bed : 0.9569, Acc.windowpane: 0.8067, Acc.grass: 0.8184, Acc.cabinet: 0.7486, Acc.sidewalk: 0.8229, Acc.person: 0.9206, Acc.earth: 0.6393, Acc.door: 0.7104, Acc.table: 0.8030, Acc.mountain: 0.7503, Acc.plant: 0.6873, Acc.curtain: 0.8974, Acc.chair: 0.7657, Acc.car: 0.9407, Acc.water: 0.8337, Acc.painting: 0.8417, Acc.sofa: 0.8113, Acc.shelf: 0.5322, Acc.house: 0.7629, Acc.sea: 0.5752, Acc.mirror: 0.8589, Acc.rug: 0.8079, Acc.field: 0.4345, Acc.armchair: 0.7134, Acc.seat: 0.8358, Acc.fence: 0.6790, Acc.desk: 0.7502, Acc.rock: 0.8314, Acc.wardrobe: 0.6961, Acc.lamp: 0.8612, Acc.bathtub: 0.8589, Acc.railing: 0.5494, Acc.cushion: 0.7544, Acc.base: 0.7082, Acc.box: 0.3787, Acc.column: 0.6757, Acc.signboard: 0.6064, Acc.chest of drawers: 0.6884, Acc.counter: 0.4634, Acc.sand: 0.4948, Acc.sink: 0.8698, Acc.skyscraper: 0.4482, Acc.fireplace: 0.9418, Acc.refrigerator: 0.8862, Acc.grandstand: 0.7412, Acc.path: 0.4356, Acc.stairs: 0.2268, Acc.runway: 0.8041, Acc.case: 0.7008, Acc.pool table: 0.9765, Acc.pillow: 0.7694, Acc.screen door: 0.6041, Acc.stairway: 0.5194, Acc.river: 0.1229, Acc.bridge: 0.9014, Acc.bookcase: 0.5082, Acc.blind: 0.5405, Acc.coffee table: 0.8424, Acc.toilet: 0.9207, Acc.flower: 0.5294, Acc.book: 0.7136, Acc.hill: 0.1269, Acc.bench: 0.5605, Acc.countertop: 0.7925, Acc.stove: 0.8864, Acc.palm: 0.7493, Acc.kitchen island: 0.8107, Acc.computer: 0.6817, Acc.swivel chair: 0.6068, Acc.boat: 0.5051, Acc.bar: 0.1754, Acc.arcade machine: 0.6258, Acc.hovel: 0.4711, Acc.bus: 0.9733, Acc.towel: 0.8333, Acc.light: 0.7796, Acc.truck: 0.5714, Acc.tower: 0.4847, Acc.chandelier: 0.8648, Acc.awning: 0.5253, Acc.streetlight: 0.6405, Acc.booth: 0.4788, Acc.television receiver: 0.8158, Acc.airplane: 0.7396, Acc.dirt track: 0.0000, Acc.apparel: 0.5446, Acc.pole: 0.5775, Acc.land: 0.0978, Acc.bannister: 0.3237, Acc.escalator: 0.7542, Acc.ottoman: 0.7300, Acc.bottle: 0.3077, Acc.buffet: 0.4263, Acc.poster: 0.4363, Acc.stage: 0.5271, Acc.van: 0.6012, Acc.ship: 0.1080, Acc.fountain: 0.0691, Acc.conveyer belt: 0.7207, Acc.canopy: 0.3452, Acc.washer: 0.7287, Acc.plaything: 0.6324, Acc.swimming pool: 0.6158, Acc.stool: 0.6667, Acc.barrel: 0.8733, Acc.basket: 0.6000, Acc.waterfall: 0.9171, Acc.tent: 0.9817, Acc.bag: 0.2226, Acc.minibike: 0.9070, Acc.cradle: 0.9731, Acc.oven: 0.6169, Acc.ball: 0.3213, Acc.food: 0.7778, Acc.step: 0.2849, Acc.tank: 0.5608, Acc.trade name: 0.2468, Acc.microwave: 0.4496, Acc.pot: 0.5882, Acc.animal: 0.7433, Acc.bicycle: 0.8448, Acc.lake: 0.0000, Acc.dishwasher: 0.8283, Acc.screen: 0.9195, Acc.blanket: 0.3354, Acc.sculpture: 0.8436, Acc.hood: 0.9184, Acc.sconce: 0.6511, Acc.vase: 0.7014, Acc.traffic light: 0.5757, Acc.tray: 0.3247, Acc.ashcan: 0.6431, Acc.fan: 0.8319, Acc.pier: 0.3094, Acc.crt screen: 0.1404, Acc.plate: 0.7859, Acc.monitor: 0.1287, Acc.bulletin board: 0.7727, Acc.shower: 0.2537, Acc.radiator: 0.8501, Acc.glass: 0.2512, Acc.clock: 0.6535, Acc.flag: 0.5164 2023-11-12 05:32:01,268 - mmseg - INFO - Iter [48050/160000] lr: 6.997e-05, eta: 15:47:33, time: 0.867, data_time: 0.401, memory: 41146, decode.loss_cls: 0.3611, decode.loss_mask: 0.5638, decode.loss_dice: 0.8411, decode.d0.loss_cls: 1.3604, decode.d0.loss_mask: 0.5943, decode.d0.loss_dice: 0.9238, decode.d1.loss_cls: 0.4316, decode.d1.loss_mask: 0.5792, decode.d1.loss_dice: 0.8948, decode.d2.loss_cls: 0.4042, decode.d2.loss_mask: 0.5682, decode.d2.loss_dice: 0.8703, decode.d3.loss_cls: 0.3836, decode.d3.loss_mask: 0.5636, decode.d3.loss_dice: 0.8523, decode.d4.loss_cls: 0.3710, decode.d4.loss_mask: 0.5633, decode.d4.loss_dice: 0.8479, decode.d5.loss_cls: 0.3701, decode.d5.loss_mask: 0.5622, decode.d5.loss_dice: 0.8470, decode.d6.loss_cls: 0.3687, decode.d6.loss_mask: 0.5603, decode.d6.loss_dice: 0.8425, decode.d7.loss_cls: 0.3610, decode.d7.loss_mask: 0.5612, decode.d7.loss_dice: 0.8463, decode.d8.loss_cls: 0.3583, decode.d8.loss_mask: 0.5634, decode.d8.loss_dice: 0.8476, loss: 19.0635, grad_norm: 46.9334 2023-11-12 05:32:25,349 - mmseg - INFO - Iter [48100/160000] lr: 6.994e-05, eta: 15:47:05, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3297, decode.loss_mask: 0.5522, decode.loss_dice: 0.8198, decode.d0.loss_cls: 1.3329, decode.d0.loss_mask: 0.5875, decode.d0.loss_dice: 0.8955, decode.d1.loss_cls: 0.4239, decode.d1.loss_mask: 0.5743, decode.d1.loss_dice: 0.8642, decode.d2.loss_cls: 0.3722, decode.d2.loss_mask: 0.5584, decode.d2.loss_dice: 0.8382, decode.d3.loss_cls: 0.3560, decode.d3.loss_mask: 0.5540, decode.d3.loss_dice: 0.8163, decode.d4.loss_cls: 0.3495, decode.d4.loss_mask: 0.5547, decode.d4.loss_dice: 0.8183, decode.d5.loss_cls: 0.3428, decode.d5.loss_mask: 0.5553, decode.d5.loss_dice: 0.8191, decode.d6.loss_cls: 0.3395, decode.d6.loss_mask: 0.5519, decode.d6.loss_dice: 0.8144, decode.d7.loss_cls: 0.3354, decode.d7.loss_mask: 0.5539, decode.d7.loss_dice: 0.8123, decode.d8.loss_cls: 0.3356, decode.d8.loss_mask: 0.5509, decode.d8.loss_dice: 0.8152, loss: 18.4238, grad_norm: 47.3511 2023-11-12 05:32:57,513 - mmseg - INFO - Iter [48150/160000] lr: 6.991e-05, eta: 15:46:55, time: 0.643, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3677, decode.loss_mask: 0.5587, decode.loss_dice: 0.8265, decode.d0.loss_cls: 1.3848, decode.d0.loss_mask: 0.5899, decode.d0.loss_dice: 0.9213, decode.d1.loss_cls: 0.4459, decode.d1.loss_mask: 0.5756, decode.d1.loss_dice: 0.8780, decode.d2.loss_cls: 0.4078, decode.d2.loss_mask: 0.5667, decode.d2.loss_dice: 0.8529, decode.d3.loss_cls: 0.3935, decode.d3.loss_mask: 0.5608, decode.d3.loss_dice: 0.8350, decode.d4.loss_cls: 0.3836, decode.d4.loss_mask: 0.5593, decode.d4.loss_dice: 0.8321, decode.d5.loss_cls: 0.3793, decode.d5.loss_mask: 0.5585, decode.d5.loss_dice: 0.8323, decode.d6.loss_cls: 0.3727, decode.d6.loss_mask: 0.5577, decode.d6.loss_dice: 0.8238, decode.d7.loss_cls: 0.3698, decode.d7.loss_mask: 0.5597, decode.d7.loss_dice: 0.8267, decode.d8.loss_cls: 0.3659, decode.d8.loss_mask: 0.5586, decode.d8.loss_dice: 0.8330, loss: 18.9781, grad_norm: 46.2908 2023-11-12 05:33:26,617 - mmseg - INFO - Iter [48200/160000] lr: 6.988e-05, eta: 15:46:38, time: 0.582, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3305, decode.loss_mask: 0.5542, decode.loss_dice: 0.8080, decode.d0.loss_cls: 1.3330, decode.d0.loss_mask: 0.5877, decode.d0.loss_dice: 0.8795, decode.d1.loss_cls: 0.4075, decode.d1.loss_mask: 0.5728, decode.d1.loss_dice: 0.8594, decode.d2.loss_cls: 0.3708, decode.d2.loss_mask: 0.5653, decode.d2.loss_dice: 0.8273, decode.d3.loss_cls: 0.3473, decode.d3.loss_mask: 0.5579, decode.d3.loss_dice: 0.8080, decode.d4.loss_cls: 0.3415, decode.d4.loss_mask: 0.5578, decode.d4.loss_dice: 0.8092, decode.d5.loss_cls: 0.3412, decode.d5.loss_mask: 0.5550, decode.d5.loss_dice: 0.8059, decode.d6.loss_cls: 0.3344, decode.d6.loss_mask: 0.5540, decode.d6.loss_dice: 0.8007, decode.d7.loss_cls: 0.3346, decode.d7.loss_mask: 0.5559, decode.d7.loss_dice: 0.8047, decode.d8.loss_cls: 0.3293, decode.d8.loss_mask: 0.5540, decode.d8.loss_dice: 0.8099, loss: 18.2975, grad_norm: 44.1166 2023-11-12 05:33:52,557 - mmseg - INFO - Iter [48250/160000] lr: 6.984e-05, eta: 15:46:14, time: 0.519, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3391, decode.loss_mask: 0.5695, decode.loss_dice: 0.8164, decode.d0.loss_cls: 1.3556, decode.d0.loss_mask: 0.5991, decode.d0.loss_dice: 0.9038, decode.d1.loss_cls: 0.4233, decode.d1.loss_mask: 0.5842, decode.d1.loss_dice: 0.8628, decode.d2.loss_cls: 0.3744, decode.d2.loss_mask: 0.5732, decode.d2.loss_dice: 0.8414, decode.d3.loss_cls: 0.3489, decode.d3.loss_mask: 0.5703, decode.d3.loss_dice: 0.8260, decode.d4.loss_cls: 0.3449, decode.d4.loss_mask: 0.5691, decode.d4.loss_dice: 0.8276, decode.d5.loss_cls: 0.3444, decode.d5.loss_mask: 0.5676, decode.d5.loss_dice: 0.8220, decode.d6.loss_cls: 0.3409, decode.d6.loss_mask: 0.5699, decode.d6.loss_dice: 0.8178, decode.d7.loss_cls: 0.3421, decode.d7.loss_mask: 0.5677, decode.d7.loss_dice: 0.8171, decode.d8.loss_cls: 0.3439, decode.d8.loss_mask: 0.5684, decode.d8.loss_dice: 0.8226, loss: 18.6540, grad_norm: 44.0718 2023-11-12 05:34:17,465 - mmseg - INFO - Iter [48300/160000] lr: 6.981e-05, eta: 15:45:48, time: 0.498, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3523, decode.loss_mask: 0.5400, decode.loss_dice: 0.8133, decode.d0.loss_cls: 1.3850, decode.d0.loss_mask: 0.5783, decode.d0.loss_dice: 0.8993, decode.d1.loss_cls: 0.4372, decode.d1.loss_mask: 0.5629, decode.d1.loss_dice: 0.8704, decode.d2.loss_cls: 0.3923, decode.d2.loss_mask: 0.5506, decode.d2.loss_dice: 0.8436, decode.d3.loss_cls: 0.3773, decode.d3.loss_mask: 0.5456, decode.d3.loss_dice: 0.8207, decode.d4.loss_cls: 0.3697, decode.d4.loss_mask: 0.5453, decode.d4.loss_dice: 0.8237, decode.d5.loss_cls: 0.3655, decode.d5.loss_mask: 0.5430, decode.d5.loss_dice: 0.8243, decode.d6.loss_cls: 0.3627, decode.d6.loss_mask: 0.5402, decode.d6.loss_dice: 0.8169, decode.d7.loss_cls: 0.3575, decode.d7.loss_mask: 0.5406, decode.d7.loss_dice: 0.8226, decode.d8.loss_cls: 0.3571, decode.d8.loss_mask: 0.5421, decode.d8.loss_dice: 0.8218, loss: 18.6020, grad_norm: 44.8271 2023-11-12 05:34:41,888 - mmseg - INFO - Iter [48350/160000] lr: 6.978e-05, eta: 15:45:20, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3527, decode.loss_mask: 0.5395, decode.loss_dice: 0.7972, decode.d0.loss_cls: 1.3548, decode.d0.loss_mask: 0.5786, decode.d0.loss_dice: 0.8741, decode.d1.loss_cls: 0.4422, decode.d1.loss_mask: 0.5587, decode.d1.loss_dice: 0.8509, decode.d2.loss_cls: 0.3940, decode.d2.loss_mask: 0.5501, decode.d2.loss_dice: 0.8178, decode.d3.loss_cls: 0.3749, decode.d3.loss_mask: 0.5432, decode.d3.loss_dice: 0.7992, decode.d4.loss_cls: 0.3691, decode.d4.loss_mask: 0.5442, decode.d4.loss_dice: 0.8017, decode.d5.loss_cls: 0.3589, decode.d5.loss_mask: 0.5438, decode.d5.loss_dice: 0.8012, decode.d6.loss_cls: 0.3610, decode.d6.loss_mask: 0.5418, decode.d6.loss_dice: 0.7951, decode.d7.loss_cls: 0.3529, decode.d7.loss_mask: 0.5415, decode.d7.loss_dice: 0.7961, decode.d8.loss_cls: 0.3533, decode.d8.loss_mask: 0.5410, decode.d8.loss_dice: 0.7932, loss: 18.3226, grad_norm: 46.5092 2023-11-12 05:35:19,349 - mmseg - INFO - Iter [48400/160000] lr: 6.975e-05, eta: 15:45:22, time: 0.749, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3453, decode.loss_mask: 0.5337, decode.loss_dice: 0.7773, decode.d0.loss_cls: 1.3619, decode.d0.loss_mask: 0.5738, decode.d0.loss_dice: 0.8718, decode.d1.loss_cls: 0.4349, decode.d1.loss_mask: 0.5513, decode.d1.loss_dice: 0.8369, decode.d2.loss_cls: 0.3878, decode.d2.loss_mask: 0.5432, decode.d2.loss_dice: 0.8038, decode.d3.loss_cls: 0.3735, decode.d3.loss_mask: 0.5382, decode.d3.loss_dice: 0.7887, decode.d4.loss_cls: 0.3665, decode.d4.loss_mask: 0.5379, decode.d4.loss_dice: 0.7845, decode.d5.loss_cls: 0.3569, decode.d5.loss_mask: 0.5352, decode.d5.loss_dice: 0.7840, decode.d6.loss_cls: 0.3505, decode.d6.loss_mask: 0.5352, decode.d6.loss_dice: 0.7767, decode.d7.loss_cls: 0.3467, decode.d7.loss_mask: 0.5345, decode.d7.loss_dice: 0.7827, decode.d8.loss_cls: 0.3458, decode.d8.loss_mask: 0.5317, decode.d8.loss_dice: 0.7807, loss: 18.0715, grad_norm: 45.8612 2023-11-12 05:35:44,004 - mmseg - INFO - Iter [48450/160000] lr: 6.972e-05, eta: 15:44:55, time: 0.493, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3294, decode.loss_mask: 0.5610, decode.loss_dice: 0.8052, decode.d0.loss_cls: 1.3670, decode.d0.loss_mask: 0.5980, decode.d0.loss_dice: 0.8824, decode.d1.loss_cls: 0.4196, decode.d1.loss_mask: 0.5805, decode.d1.loss_dice: 0.8472, decode.d2.loss_cls: 0.3722, decode.d2.loss_mask: 0.5647, decode.d2.loss_dice: 0.8286, decode.d3.loss_cls: 0.3579, decode.d3.loss_mask: 0.5573, decode.d3.loss_dice: 0.8136, decode.d4.loss_cls: 0.3504, decode.d4.loss_mask: 0.5600, decode.d4.loss_dice: 0.8164, decode.d5.loss_cls: 0.3380, decode.d5.loss_mask: 0.5611, decode.d5.loss_dice: 0.8118, decode.d6.loss_cls: 0.3396, decode.d6.loss_mask: 0.5603, decode.d6.loss_dice: 0.8043, decode.d7.loss_cls: 0.3361, decode.d7.loss_mask: 0.5624, decode.d7.loss_dice: 0.8055, decode.d8.loss_cls: 0.3303, decode.d8.loss_mask: 0.5610, decode.d8.loss_dice: 0.8055, loss: 18.4275, grad_norm: 44.9111 2023-11-12 05:36:07,991 - mmseg - INFO - Iter [48500/160000] lr: 6.969e-05, eta: 15:44:27, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3600, decode.loss_mask: 0.5725, decode.loss_dice: 0.8335, decode.d0.loss_cls: 1.3725, decode.d0.loss_mask: 0.6117, decode.d0.loss_dice: 0.9250, decode.d1.loss_cls: 0.4455, decode.d1.loss_mask: 0.5957, decode.d1.loss_dice: 0.8811, decode.d2.loss_cls: 0.3932, decode.d2.loss_mask: 0.5848, decode.d2.loss_dice: 0.8562, decode.d3.loss_cls: 0.3786, decode.d3.loss_mask: 0.5771, decode.d3.loss_dice: 0.8436, decode.d4.loss_cls: 0.3659, decode.d4.loss_mask: 0.5772, decode.d4.loss_dice: 0.8426, decode.d5.loss_cls: 0.3619, decode.d5.loss_mask: 0.5755, decode.d5.loss_dice: 0.8423, decode.d6.loss_cls: 0.3598, decode.d6.loss_mask: 0.5737, decode.d6.loss_dice: 0.8364, decode.d7.loss_cls: 0.3595, decode.d7.loss_mask: 0.5721, decode.d7.loss_dice: 0.8339, decode.d8.loss_cls: 0.3614, decode.d8.loss_mask: 0.5720, decode.d8.loss_dice: 0.8336, loss: 19.0987, grad_norm: 46.4701 2023-11-12 05:36:32,230 - mmseg - INFO - Iter [48550/160000] lr: 6.966e-05, eta: 15:43:58, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3425, decode.loss_mask: 0.5376, decode.loss_dice: 0.7991, decode.d0.loss_cls: 1.3591, decode.d0.loss_mask: 0.5714, decode.d0.loss_dice: 0.8866, decode.d1.loss_cls: 0.4358, decode.d1.loss_mask: 0.5561, decode.d1.loss_dice: 0.8564, decode.d2.loss_cls: 0.3937, decode.d2.loss_mask: 0.5449, decode.d2.loss_dice: 0.8226, decode.d3.loss_cls: 0.3748, decode.d3.loss_mask: 0.5393, decode.d3.loss_dice: 0.8043, decode.d4.loss_cls: 0.3577, decode.d4.loss_mask: 0.5400, decode.d4.loss_dice: 0.8059, decode.d5.loss_cls: 0.3548, decode.d5.loss_mask: 0.5377, decode.d5.loss_dice: 0.8048, decode.d6.loss_cls: 0.3522, decode.d6.loss_mask: 0.5364, decode.d6.loss_dice: 0.7966, decode.d7.loss_cls: 0.3521, decode.d7.loss_mask: 0.5356, decode.d7.loss_dice: 0.7961, decode.d8.loss_cls: 0.3479, decode.d8.loss_mask: 0.5381, decode.d8.loss_dice: 0.7972, loss: 18.2772, grad_norm: 43.5724 2023-11-12 05:36:56,430 - mmseg - INFO - Iter [48600/160000] lr: 6.963e-05, eta: 15:43:30, time: 0.486, data_time: 0.015, memory: 41146, decode.loss_cls: 0.3588, decode.loss_mask: 0.5725, decode.loss_dice: 0.8340, decode.d0.loss_cls: 1.3612, decode.d0.loss_mask: 0.6065, decode.d0.loss_dice: 0.9166, decode.d1.loss_cls: 0.4427, decode.d1.loss_mask: 0.5898, decode.d1.loss_dice: 0.8717, decode.d2.loss_cls: 0.4031, decode.d2.loss_mask: 0.5760, decode.d2.loss_dice: 0.8533, decode.d3.loss_cls: 0.3857, decode.d3.loss_mask: 0.5725, decode.d3.loss_dice: 0.8393, decode.d4.loss_cls: 0.3757, decode.d4.loss_mask: 0.5701, decode.d4.loss_dice: 0.8372, decode.d5.loss_cls: 0.3624, decode.d5.loss_mask: 0.5729, decode.d5.loss_dice: 0.8475, decode.d6.loss_cls: 0.3654, decode.d6.loss_mask: 0.5702, decode.d6.loss_dice: 0.8316, decode.d7.loss_cls: 0.3546, decode.d7.loss_mask: 0.5708, decode.d7.loss_dice: 0.8353, decode.d8.loss_cls: 0.3558, decode.d8.loss_mask: 0.5719, decode.d8.loss_dice: 0.8345, loss: 19.0396, grad_norm: 47.2024 2023-11-12 05:37:20,602 - mmseg - INFO - Iter [48650/160000] lr: 6.959e-05, eta: 15:43:02, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3677, decode.loss_mask: 0.5360, decode.loss_dice: 0.8133, decode.d0.loss_cls: 1.3675, decode.d0.loss_mask: 0.5708, decode.d0.loss_dice: 0.9069, decode.d1.loss_cls: 0.4607, decode.d1.loss_mask: 0.5548, decode.d1.loss_dice: 0.8639, decode.d2.loss_cls: 0.4067, decode.d2.loss_mask: 0.5436, decode.d2.loss_dice: 0.8454, decode.d3.loss_cls: 0.3930, decode.d3.loss_mask: 0.5359, decode.d3.loss_dice: 0.8201, decode.d4.loss_cls: 0.3853, decode.d4.loss_mask: 0.5361, decode.d4.loss_dice: 0.8180, decode.d5.loss_cls: 0.3751, decode.d5.loss_mask: 0.5342, decode.d5.loss_dice: 0.8179, decode.d6.loss_cls: 0.3692, decode.d6.loss_mask: 0.5343, decode.d6.loss_dice: 0.8150, decode.d7.loss_cls: 0.3661, decode.d7.loss_mask: 0.5356, decode.d7.loss_dice: 0.8202, decode.d8.loss_cls: 0.3669, decode.d8.loss_mask: 0.5378, decode.d8.loss_dice: 0.8202, loss: 18.6183, grad_norm: 48.1262 2023-11-12 05:37:44,591 - mmseg - INFO - Iter [48700/160000] lr: 6.956e-05, eta: 15:42:33, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3632, decode.loss_mask: 0.5638, decode.loss_dice: 0.8539, decode.d0.loss_cls: 1.3796, decode.d0.loss_mask: 0.5987, decode.d0.loss_dice: 0.9349, decode.d1.loss_cls: 0.4506, decode.d1.loss_mask: 0.5851, decode.d1.loss_dice: 0.9094, decode.d2.loss_cls: 0.3999, decode.d2.loss_mask: 0.5750, decode.d2.loss_dice: 0.8761, decode.d3.loss_cls: 0.3868, decode.d3.loss_mask: 0.5683, decode.d3.loss_dice: 0.8600, decode.d4.loss_cls: 0.3817, decode.d4.loss_mask: 0.5683, decode.d4.loss_dice: 0.8549, decode.d5.loss_cls: 0.3755, decode.d5.loss_mask: 0.5676, decode.d5.loss_dice: 0.8597, decode.d6.loss_cls: 0.3745, decode.d6.loss_mask: 0.5636, decode.d6.loss_dice: 0.8489, decode.d7.loss_cls: 0.3690, decode.d7.loss_mask: 0.5650, decode.d7.loss_dice: 0.8546, decode.d8.loss_cls: 0.3642, decode.d8.loss_mask: 0.5661, decode.d8.loss_dice: 0.8540, loss: 19.2728, grad_norm: 47.4467 2023-11-12 05:38:08,850 - mmseg - INFO - Iter [48750/160000] lr: 6.953e-05, eta: 15:42:05, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3576, decode.loss_mask: 0.5586, decode.loss_dice: 0.8165, decode.d0.loss_cls: 1.3874, decode.d0.loss_mask: 0.5831, decode.d0.loss_dice: 0.8870, decode.d1.loss_cls: 0.4445, decode.d1.loss_mask: 0.5756, decode.d1.loss_dice: 0.8599, decode.d2.loss_cls: 0.3983, decode.d2.loss_mask: 0.5613, decode.d2.loss_dice: 0.8380, decode.d3.loss_cls: 0.3805, decode.d3.loss_mask: 0.5565, decode.d3.loss_dice: 0.8193, decode.d4.loss_cls: 0.3719, decode.d4.loss_mask: 0.5574, decode.d4.loss_dice: 0.8217, decode.d5.loss_cls: 0.3658, decode.d5.loss_mask: 0.5565, decode.d5.loss_dice: 0.8215, decode.d6.loss_cls: 0.3627, decode.d6.loss_mask: 0.5542, decode.d6.loss_dice: 0.8180, decode.d7.loss_cls: 0.3578, decode.d7.loss_mask: 0.5543, decode.d7.loss_dice: 0.8182, decode.d8.loss_cls: 0.3535, decode.d8.loss_mask: 0.5558, decode.d8.loss_dice: 0.8172, loss: 18.7107, grad_norm: 47.2919 2023-11-12 05:38:45,054 - mmseg - INFO - Iter [48800/160000] lr: 6.950e-05, eta: 15:42:05, time: 0.724, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3485, decode.loss_mask: 0.5704, decode.loss_dice: 0.7997, decode.d0.loss_cls: 1.3344, decode.d0.loss_mask: 0.5976, decode.d0.loss_dice: 0.8830, decode.d1.loss_cls: 0.4232, decode.d1.loss_mask: 0.5866, decode.d1.loss_dice: 0.8594, decode.d2.loss_cls: 0.3890, decode.d2.loss_mask: 0.5749, decode.d2.loss_dice: 0.8251, decode.d3.loss_cls: 0.3648, decode.d3.loss_mask: 0.5701, decode.d3.loss_dice: 0.8067, decode.d4.loss_cls: 0.3562, decode.d4.loss_mask: 0.5726, decode.d4.loss_dice: 0.8055, decode.d5.loss_cls: 0.3471, decode.d5.loss_mask: 0.5708, decode.d5.loss_dice: 0.8038, decode.d6.loss_cls: 0.3483, decode.d6.loss_mask: 0.5730, decode.d6.loss_dice: 0.7993, decode.d7.loss_cls: 0.3492, decode.d7.loss_mask: 0.5722, decode.d7.loss_dice: 0.8009, decode.d8.loss_cls: 0.3455, decode.d8.loss_mask: 0.5714, decode.d8.loss_dice: 0.8029, loss: 18.5521, grad_norm: 51.0766 2023-11-12 05:39:09,679 - mmseg - INFO - Iter [48850/160000] lr: 6.947e-05, eta: 15:41:37, time: 0.493, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3535, decode.loss_mask: 0.5783, decode.loss_dice: 0.8382, decode.d0.loss_cls: 1.3329, decode.d0.loss_mask: 0.6116, decode.d0.loss_dice: 0.9254, decode.d1.loss_cls: 0.4330, decode.d1.loss_mask: 0.5947, decode.d1.loss_dice: 0.8862, decode.d2.loss_cls: 0.3904, decode.d2.loss_mask: 0.5796, decode.d2.loss_dice: 0.8638, decode.d3.loss_cls: 0.3759, decode.d3.loss_mask: 0.5761, decode.d3.loss_dice: 0.8418, decode.d4.loss_cls: 0.3654, decode.d4.loss_mask: 0.5733, decode.d4.loss_dice: 0.8444, decode.d5.loss_cls: 0.3665, decode.d5.loss_mask: 0.5741, decode.d5.loss_dice: 0.8487, decode.d6.loss_cls: 0.3575, decode.d6.loss_mask: 0.5749, decode.d6.loss_dice: 0.8414, decode.d7.loss_cls: 0.3562, decode.d7.loss_mask: 0.5760, decode.d7.loss_dice: 0.8381, decode.d8.loss_cls: 0.3555, decode.d8.loss_mask: 0.5742, decode.d8.loss_dice: 0.8409, loss: 19.0686, grad_norm: 48.2114 2023-11-12 05:39:34,053 - mmseg - INFO - Iter [48900/160000] lr: 6.944e-05, eta: 15:41:10, time: 0.487, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3450, decode.loss_mask: 0.5611, decode.loss_dice: 0.8043, decode.d0.loss_cls: 1.3384, decode.d0.loss_mask: 0.5948, decode.d0.loss_dice: 0.8817, decode.d1.loss_cls: 0.4278, decode.d1.loss_mask: 0.5827, decode.d1.loss_dice: 0.8444, decode.d2.loss_cls: 0.3877, decode.d2.loss_mask: 0.5698, decode.d2.loss_dice: 0.8197, decode.d3.loss_cls: 0.3676, decode.d3.loss_mask: 0.5639, decode.d3.loss_dice: 0.8084, decode.d4.loss_cls: 0.3555, decode.d4.loss_mask: 0.5602, decode.d4.loss_dice: 0.8124, decode.d5.loss_cls: 0.3531, decode.d5.loss_mask: 0.5627, decode.d5.loss_dice: 0.8064, decode.d6.loss_cls: 0.3519, decode.d6.loss_mask: 0.5586, decode.d6.loss_dice: 0.8045, decode.d7.loss_cls: 0.3507, decode.d7.loss_mask: 0.5575, decode.d7.loss_dice: 0.8050, decode.d8.loss_cls: 0.3463, decode.d8.loss_mask: 0.5587, decode.d8.loss_dice: 0.8020, loss: 18.4828, grad_norm: 47.1388 2023-11-12 05:39:58,844 - mmseg - INFO - Iter [48950/160000] lr: 6.941e-05, eta: 15:40:43, time: 0.496, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3760, decode.loss_mask: 0.5728, decode.loss_dice: 0.8453, decode.d0.loss_cls: 1.4039, decode.d0.loss_mask: 0.6002, decode.d0.loss_dice: 0.9317, decode.d1.loss_cls: 0.4631, decode.d1.loss_mask: 0.5881, decode.d1.loss_dice: 0.8994, decode.d2.loss_cls: 0.4212, decode.d2.loss_mask: 0.5781, decode.d2.loss_dice: 0.8724, decode.d3.loss_cls: 0.3967, decode.d3.loss_mask: 0.5772, decode.d3.loss_dice: 0.8559, decode.d4.loss_cls: 0.3901, decode.d4.loss_mask: 0.5763, decode.d4.loss_dice: 0.8606, decode.d5.loss_cls: 0.3865, decode.d5.loss_mask: 0.5749, decode.d5.loss_dice: 0.8587, decode.d6.loss_cls: 0.3830, decode.d6.loss_mask: 0.5747, decode.d6.loss_dice: 0.8492, decode.d7.loss_cls: 0.3792, decode.d7.loss_mask: 0.5725, decode.d7.loss_dice: 0.8516, decode.d8.loss_cls: 0.3819, decode.d8.loss_mask: 0.5725, decode.d8.loss_dice: 0.8488, loss: 19.4425, grad_norm: 47.6849 2023-11-12 05:40:23,769 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 05:40:23,770 - mmseg - INFO - Iter [49000/160000] lr: 6.938e-05, eta: 15:40:16, time: 0.499, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3879, decode.loss_mask: 0.5636, decode.loss_dice: 0.8408, decode.d0.loss_cls: 1.3772, decode.d0.loss_mask: 0.5952, decode.d0.loss_dice: 0.9377, decode.d1.loss_cls: 0.4591, decode.d1.loss_mask: 0.5897, decode.d1.loss_dice: 0.9081, decode.d2.loss_cls: 0.4178, decode.d2.loss_mask: 0.5736, decode.d2.loss_dice: 0.8683, decode.d3.loss_cls: 0.3998, decode.d3.loss_mask: 0.5680, decode.d3.loss_dice: 0.8498, decode.d4.loss_cls: 0.3929, decode.d4.loss_mask: 0.5660, decode.d4.loss_dice: 0.8512, decode.d5.loss_cls: 0.3906, decode.d5.loss_mask: 0.5638, decode.d5.loss_dice: 0.8490, decode.d6.loss_cls: 0.3843, decode.d6.loss_mask: 0.5629, decode.d6.loss_dice: 0.8461, decode.d7.loss_cls: 0.3848, decode.d7.loss_mask: 0.5664, decode.d7.loss_dice: 0.8446, decode.d8.loss_cls: 0.3865, decode.d8.loss_mask: 0.5658, decode.d8.loss_dice: 0.8452, loss: 19.3365, grad_norm: 46.2683 2023-11-12 05:40:49,081 - mmseg - INFO - Iter [49050/160000] lr: 6.934e-05, eta: 15:39:51, time: 0.506, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3782, decode.loss_mask: 0.5554, decode.loss_dice: 0.8671, decode.d0.loss_cls: 1.3989, decode.d0.loss_mask: 0.5859, decode.d0.loss_dice: 0.9511, decode.d1.loss_cls: 0.4637, decode.d1.loss_mask: 0.5745, decode.d1.loss_dice: 0.9218, decode.d2.loss_cls: 0.4055, decode.d2.loss_mask: 0.5635, decode.d2.loss_dice: 0.8943, decode.d3.loss_cls: 0.3931, decode.d3.loss_mask: 0.5599, decode.d3.loss_dice: 0.8769, decode.d4.loss_cls: 0.3852, decode.d4.loss_mask: 0.5568, decode.d4.loss_dice: 0.8736, decode.d5.loss_cls: 0.3776, decode.d5.loss_mask: 0.5581, decode.d5.loss_dice: 0.8784, decode.d6.loss_cls: 0.3814, decode.d6.loss_mask: 0.5539, decode.d6.loss_dice: 0.8629, decode.d7.loss_cls: 0.3738, decode.d7.loss_mask: 0.5551, decode.d7.loss_dice: 0.8674, decode.d8.loss_cls: 0.3778, decode.d8.loss_mask: 0.5558, decode.d8.loss_dice: 0.8662, loss: 19.4139, grad_norm: 44.8359 2023-11-12 05:41:14,725 - mmseg - INFO - Iter [49100/160000] lr: 6.931e-05, eta: 15:39:26, time: 0.513, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3256, decode.loss_mask: 0.5561, decode.loss_dice: 0.8217, decode.d0.loss_cls: 1.3258, decode.d0.loss_mask: 0.5912, decode.d0.loss_dice: 0.9027, decode.d1.loss_cls: 0.4105, decode.d1.loss_mask: 0.5732, decode.d1.loss_dice: 0.8751, decode.d2.loss_cls: 0.3593, decode.d2.loss_mask: 0.5657, decode.d2.loss_dice: 0.8463, decode.d3.loss_cls: 0.3501, decode.d3.loss_mask: 0.5591, decode.d3.loss_dice: 0.8288, decode.d4.loss_cls: 0.3380, decode.d4.loss_mask: 0.5570, decode.d4.loss_dice: 0.8266, decode.d5.loss_cls: 0.3387, decode.d5.loss_mask: 0.5575, decode.d5.loss_dice: 0.8242, decode.d6.loss_cls: 0.3335, decode.d6.loss_mask: 0.5565, decode.d6.loss_dice: 0.8219, decode.d7.loss_cls: 0.3294, decode.d7.loss_mask: 0.5580, decode.d7.loss_dice: 0.8212, decode.d8.loss_cls: 0.3376, decode.d8.loss_mask: 0.5566, decode.d8.loss_dice: 0.8198, loss: 18.4675, grad_norm: 46.2899 2023-11-12 05:41:43,296 - mmseg - INFO - Iter [49150/160000] lr: 6.928e-05, eta: 15:39:07, time: 0.571, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3703, decode.loss_mask: 0.5440, decode.loss_dice: 0.8388, decode.d0.loss_cls: 1.3847, decode.d0.loss_mask: 0.5819, decode.d0.loss_dice: 0.9323, decode.d1.loss_cls: 0.4558, decode.d1.loss_mask: 0.5612, decode.d1.loss_dice: 0.8924, decode.d2.loss_cls: 0.4066, decode.d2.loss_mask: 0.5512, decode.d2.loss_dice: 0.8595, decode.d3.loss_cls: 0.3971, decode.d3.loss_mask: 0.5470, decode.d3.loss_dice: 0.8452, decode.d4.loss_cls: 0.3833, decode.d4.loss_mask: 0.5449, decode.d4.loss_dice: 0.8454, decode.d5.loss_cls: 0.3801, decode.d5.loss_mask: 0.5468, decode.d5.loss_dice: 0.8406, decode.d6.loss_cls: 0.3782, decode.d6.loss_mask: 0.5416, decode.d6.loss_dice: 0.8362, decode.d7.loss_cls: 0.3713, decode.d7.loss_mask: 0.5441, decode.d7.loss_dice: 0.8392, decode.d8.loss_cls: 0.3750, decode.d8.loss_mask: 0.5420, decode.d8.loss_dice: 0.8374, loss: 18.9741, grad_norm: 46.7471 2023-11-12 05:42:15,540 - mmseg - INFO - Iter [49200/160000] lr: 6.925e-05, eta: 15:38:57, time: 0.645, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3544, decode.loss_mask: 0.5382, decode.loss_dice: 0.8067, decode.d0.loss_cls: 1.3581, decode.d0.loss_mask: 0.5709, decode.d0.loss_dice: 0.8857, decode.d1.loss_cls: 0.4514, decode.d1.loss_mask: 0.5560, decode.d1.loss_dice: 0.8543, decode.d2.loss_cls: 0.3912, decode.d2.loss_mask: 0.5483, decode.d2.loss_dice: 0.8269, decode.d3.loss_cls: 0.3823, decode.d3.loss_mask: 0.5446, decode.d3.loss_dice: 0.8189, decode.d4.loss_cls: 0.3779, decode.d4.loss_mask: 0.5405, decode.d4.loss_dice: 0.8133, decode.d5.loss_cls: 0.3694, decode.d5.loss_mask: 0.5408, decode.d5.loss_dice: 0.8086, decode.d6.loss_cls: 0.3615, decode.d6.loss_mask: 0.5406, decode.d6.loss_dice: 0.8083, decode.d7.loss_cls: 0.3595, decode.d7.loss_mask: 0.5384, decode.d7.loss_dice: 0.8089, decode.d8.loss_cls: 0.3570, decode.d8.loss_mask: 0.5385, decode.d8.loss_dice: 0.8042, loss: 18.4551, grad_norm: 43.9158 2023-11-12 05:42:40,101 - mmseg - INFO - Iter [49250/160000] lr: 6.922e-05, eta: 15:38:30, time: 0.491, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3610, decode.loss_mask: 0.5751, decode.loss_dice: 0.8422, decode.d0.loss_cls: 1.3513, decode.d0.loss_mask: 0.6084, decode.d0.loss_dice: 0.9190, decode.d1.loss_cls: 0.4427, decode.d1.loss_mask: 0.5877, decode.d1.loss_dice: 0.8933, decode.d2.loss_cls: 0.3916, decode.d2.loss_mask: 0.5840, decode.d2.loss_dice: 0.8680, decode.d3.loss_cls: 0.3738, decode.d3.loss_mask: 0.5807, decode.d3.loss_dice: 0.8550, decode.d4.loss_cls: 0.3671, decode.d4.loss_mask: 0.5809, decode.d4.loss_dice: 0.8480, decode.d5.loss_cls: 0.3672, decode.d5.loss_mask: 0.5784, decode.d5.loss_dice: 0.8488, decode.d6.loss_cls: 0.3705, decode.d6.loss_mask: 0.5714, decode.d6.loss_dice: 0.8413, decode.d7.loss_cls: 0.3656, decode.d7.loss_mask: 0.5749, decode.d7.loss_dice: 0.8459, decode.d8.loss_cls: 0.3598, decode.d8.loss_mask: 0.5757, decode.d8.loss_dice: 0.8440, loss: 19.1736, grad_norm: 46.4436 2023-11-12 05:43:06,803 - mmseg - INFO - Iter [49300/160000] lr: 6.919e-05, eta: 15:38:07, time: 0.534, data_time: 0.058, memory: 41146, decode.loss_cls: 0.3382, decode.loss_mask: 0.5728, decode.loss_dice: 0.7915, decode.d0.loss_cls: 1.3558, decode.d0.loss_mask: 0.6112, decode.d0.loss_dice: 0.8700, decode.d1.loss_cls: 0.4320, decode.d1.loss_mask: 0.5904, decode.d1.loss_dice: 0.8381, decode.d2.loss_cls: 0.3739, decode.d2.loss_mask: 0.5811, decode.d2.loss_dice: 0.8186, decode.d3.loss_cls: 0.3589, decode.d3.loss_mask: 0.5760, decode.d3.loss_dice: 0.7980, decode.d4.loss_cls: 0.3618, decode.d4.loss_mask: 0.5732, decode.d4.loss_dice: 0.7956, decode.d5.loss_cls: 0.3529, decode.d5.loss_mask: 0.5709, decode.d5.loss_dice: 0.7982, decode.d6.loss_cls: 0.3492, decode.d6.loss_mask: 0.5716, decode.d6.loss_dice: 0.7927, decode.d7.loss_cls: 0.3454, decode.d7.loss_mask: 0.5722, decode.d7.loss_dice: 0.7924, decode.d8.loss_cls: 0.3393, decode.d8.loss_mask: 0.5699, decode.d8.loss_dice: 0.7954, loss: 18.4871, grad_norm: 49.4326 2023-11-12 05:43:31,581 - mmseg - INFO - Iter [49350/160000] lr: 6.916e-05, eta: 15:37:41, time: 0.496, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3515, decode.loss_mask: 0.5679, decode.loss_dice: 0.8340, decode.d0.loss_cls: 1.3521, decode.d0.loss_mask: 0.6019, decode.d0.loss_dice: 0.9094, decode.d1.loss_cls: 0.4426, decode.d1.loss_mask: 0.5856, decode.d1.loss_dice: 0.8826, decode.d2.loss_cls: 0.4027, decode.d2.loss_mask: 0.5713, decode.d2.loss_dice: 0.8608, decode.d3.loss_cls: 0.3738, decode.d3.loss_mask: 0.5666, decode.d3.loss_dice: 0.8378, decode.d4.loss_cls: 0.3661, decode.d4.loss_mask: 0.5657, decode.d4.loss_dice: 0.8327, decode.d5.loss_cls: 0.3606, decode.d5.loss_mask: 0.5671, decode.d5.loss_dice: 0.8363, decode.d6.loss_cls: 0.3635, decode.d6.loss_mask: 0.5644, decode.d6.loss_dice: 0.8289, decode.d7.loss_cls: 0.3580, decode.d7.loss_mask: 0.5643, decode.d7.loss_dice: 0.8292, decode.d8.loss_cls: 0.3577, decode.d8.loss_mask: 0.5656, decode.d8.loss_dice: 0.8374, loss: 18.9376, grad_norm: 50.4090 2023-11-12 05:43:57,434 - mmseg - INFO - Iter [49400/160000] lr: 6.913e-05, eta: 15:37:16, time: 0.517, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3255, decode.loss_mask: 0.5331, decode.loss_dice: 0.8001, decode.d0.loss_cls: 1.3717, decode.d0.loss_mask: 0.5720, decode.d0.loss_dice: 0.8814, decode.d1.loss_cls: 0.4195, decode.d1.loss_mask: 0.5505, decode.d1.loss_dice: 0.8525, decode.d2.loss_cls: 0.3708, decode.d2.loss_mask: 0.5451, decode.d2.loss_dice: 0.8271, decode.d3.loss_cls: 0.3490, decode.d3.loss_mask: 0.5405, decode.d3.loss_dice: 0.8055, decode.d4.loss_cls: 0.3426, decode.d4.loss_mask: 0.5385, decode.d4.loss_dice: 0.8087, decode.d5.loss_cls: 0.3327, decode.d5.loss_mask: 0.5355, decode.d5.loss_dice: 0.8078, decode.d6.loss_cls: 0.3363, decode.d6.loss_mask: 0.5345, decode.d6.loss_dice: 0.8007, decode.d7.loss_cls: 0.3295, decode.d7.loss_mask: 0.5353, decode.d7.loss_dice: 0.8032, decode.d8.loss_cls: 0.3250, decode.d8.loss_mask: 0.5332, decode.d8.loss_dice: 0.8019, loss: 18.1098, grad_norm: 45.6509 2023-11-12 05:44:22,966 - mmseg - INFO - Iter [49450/160000] lr: 6.909e-05, eta: 15:36:51, time: 0.511, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3486, decode.loss_mask: 0.5382, decode.loss_dice: 0.7899, decode.d0.loss_cls: 1.3791, decode.d0.loss_mask: 0.5720, decode.d0.loss_dice: 0.8711, decode.d1.loss_cls: 0.4377, decode.d1.loss_mask: 0.5655, decode.d1.loss_dice: 0.8366, decode.d2.loss_cls: 0.3915, decode.d2.loss_mask: 0.5534, decode.d2.loss_dice: 0.8115, decode.d3.loss_cls: 0.3770, decode.d3.loss_mask: 0.5430, decode.d3.loss_dice: 0.7968, decode.d4.loss_cls: 0.3620, decode.d4.loss_mask: 0.5438, decode.d4.loss_dice: 0.7969, decode.d5.loss_cls: 0.3586, decode.d5.loss_mask: 0.5452, decode.d5.loss_dice: 0.7993, decode.d6.loss_cls: 0.3584, decode.d6.loss_mask: 0.5404, decode.d6.loss_dice: 0.7944, decode.d7.loss_cls: 0.3557, decode.d7.loss_mask: 0.5379, decode.d7.loss_dice: 0.7932, decode.d8.loss_cls: 0.3471, decode.d8.loss_mask: 0.5393, decode.d8.loss_dice: 0.7903, loss: 18.2743, grad_norm: 47.1978 2023-11-12 05:44:47,385 - mmseg - INFO - Iter [49500/160000] lr: 6.906e-05, eta: 15:36:23, time: 0.488, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3524, decode.loss_mask: 0.5495, decode.loss_dice: 0.8131, decode.d0.loss_cls: 1.3372, decode.d0.loss_mask: 0.5930, decode.d0.loss_dice: 0.8950, decode.d1.loss_cls: 0.4282, decode.d1.loss_mask: 0.5739, decode.d1.loss_dice: 0.8689, decode.d2.loss_cls: 0.3806, decode.d2.loss_mask: 0.5631, decode.d2.loss_dice: 0.8474, decode.d3.loss_cls: 0.3614, decode.d3.loss_mask: 0.5594, decode.d3.loss_dice: 0.8264, decode.d4.loss_cls: 0.3548, decode.d4.loss_mask: 0.5564, decode.d4.loss_dice: 0.8266, decode.d5.loss_cls: 0.3484, decode.d5.loss_mask: 0.5561, decode.d5.loss_dice: 0.8258, decode.d6.loss_cls: 0.3523, decode.d6.loss_mask: 0.5545, decode.d6.loss_dice: 0.8172, decode.d7.loss_cls: 0.3482, decode.d7.loss_mask: 0.5537, decode.d7.loss_dice: 0.8139, decode.d8.loss_cls: 0.3457, decode.d8.loss_mask: 0.5529, decode.d8.loss_dice: 0.8138, loss: 18.5698, grad_norm: 45.4328 2023-11-12 05:45:12,033 - mmseg - INFO - Iter [49550/160000] lr: 6.903e-05, eta: 15:35:56, time: 0.493, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3617, decode.loss_mask: 0.5458, decode.loss_dice: 0.8026, decode.d0.loss_cls: 1.3828, decode.d0.loss_mask: 0.5777, decode.d0.loss_dice: 0.8890, decode.d1.loss_cls: 0.4445, decode.d1.loss_mask: 0.5668, decode.d1.loss_dice: 0.8639, decode.d2.loss_cls: 0.3995, decode.d2.loss_mask: 0.5539, decode.d2.loss_dice: 0.8345, decode.d3.loss_cls: 0.3805, decode.d3.loss_mask: 0.5460, decode.d3.loss_dice: 0.8085, decode.d4.loss_cls: 0.3731, decode.d4.loss_mask: 0.5468, decode.d4.loss_dice: 0.8156, decode.d5.loss_cls: 0.3663, decode.d5.loss_mask: 0.5465, decode.d5.loss_dice: 0.8141, decode.d6.loss_cls: 0.3651, decode.d6.loss_mask: 0.5480, decode.d6.loss_dice: 0.8093, decode.d7.loss_cls: 0.3617, decode.d7.loss_mask: 0.5446, decode.d7.loss_dice: 0.8105, decode.d8.loss_cls: 0.3613, decode.d8.loss_mask: 0.5470, decode.d8.loss_dice: 0.8116, loss: 18.5792, grad_norm: 45.8819 2023-11-12 05:45:36,672 - mmseg - INFO - Iter [49600/160000] lr: 6.900e-05, eta: 15:35:29, time: 0.493, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3523, decode.loss_mask: 0.5643, decode.loss_dice: 0.8214, decode.d0.loss_cls: 1.3495, decode.d0.loss_mask: 0.6131, decode.d0.loss_dice: 0.9017, decode.d1.loss_cls: 0.4326, decode.d1.loss_mask: 0.5910, decode.d1.loss_dice: 0.8735, decode.d2.loss_cls: 0.3871, decode.d2.loss_mask: 0.5759, decode.d2.loss_dice: 0.8441, decode.d3.loss_cls: 0.3782, decode.d3.loss_mask: 0.5719, decode.d3.loss_dice: 0.8235, decode.d4.loss_cls: 0.3634, decode.d4.loss_mask: 0.5723, decode.d4.loss_dice: 0.8262, decode.d5.loss_cls: 0.3604, decode.d5.loss_mask: 0.5688, decode.d5.loss_dice: 0.8220, decode.d6.loss_cls: 0.3560, decode.d6.loss_mask: 0.5666, decode.d6.loss_dice: 0.8188, decode.d7.loss_cls: 0.3539, decode.d7.loss_mask: 0.5655, decode.d7.loss_dice: 0.8226, decode.d8.loss_cls: 0.3506, decode.d8.loss_mask: 0.5654, decode.d8.loss_dice: 0.8201, loss: 18.8128, grad_norm: 45.8818 2023-11-12 05:46:00,861 - mmseg - INFO - Iter [49650/160000] lr: 6.897e-05, eta: 15:35:01, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3704, decode.loss_mask: 0.5586, decode.loss_dice: 0.8096, decode.d0.loss_cls: 1.3969, decode.d0.loss_mask: 0.5911, decode.d0.loss_dice: 0.9001, decode.d1.loss_cls: 0.4486, decode.d1.loss_mask: 0.5804, decode.d1.loss_dice: 0.8715, decode.d2.loss_cls: 0.4093, decode.d2.loss_mask: 0.5716, decode.d2.loss_dice: 0.8362, decode.d3.loss_cls: 0.3896, decode.d3.loss_mask: 0.5642, decode.d3.loss_dice: 0.8201, decode.d4.loss_cls: 0.3823, decode.d4.loss_mask: 0.5595, decode.d4.loss_dice: 0.8228, decode.d5.loss_cls: 0.3770, decode.d5.loss_mask: 0.5583, decode.d5.loss_dice: 0.8199, decode.d6.loss_cls: 0.3729, decode.d6.loss_mask: 0.5586, decode.d6.loss_dice: 0.8129, decode.d7.loss_cls: 0.3765, decode.d7.loss_mask: 0.5574, decode.d7.loss_dice: 0.8114, decode.d8.loss_cls: 0.3746, decode.d8.loss_mask: 0.5582, decode.d8.loss_dice: 0.8118, loss: 18.8722, grad_norm: 48.9247 2023-11-12 05:46:24,845 - mmseg - INFO - Iter [49700/160000] lr: 6.894e-05, eta: 15:34:32, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3708, decode.loss_mask: 0.5589, decode.loss_dice: 0.8317, decode.d0.loss_cls: 1.3735, decode.d0.loss_mask: 0.5914, decode.d0.loss_dice: 0.9170, decode.d1.loss_cls: 0.4534, decode.d1.loss_mask: 0.5821, decode.d1.loss_dice: 0.8804, decode.d2.loss_cls: 0.4073, decode.d2.loss_mask: 0.5656, decode.d2.loss_dice: 0.8579, decode.d3.loss_cls: 0.3964, decode.d3.loss_mask: 0.5628, decode.d3.loss_dice: 0.8396, decode.d4.loss_cls: 0.3840, decode.d4.loss_mask: 0.5613, decode.d4.loss_dice: 0.8438, decode.d5.loss_cls: 0.3833, decode.d5.loss_mask: 0.5595, decode.d5.loss_dice: 0.8447, decode.d6.loss_cls: 0.3724, decode.d6.loss_mask: 0.5584, decode.d6.loss_dice: 0.8352, decode.d7.loss_cls: 0.3738, decode.d7.loss_mask: 0.5574, decode.d7.loss_dice: 0.8314, decode.d8.loss_cls: 0.3693, decode.d8.loss_mask: 0.5600, decode.d8.loss_dice: 0.8352, loss: 19.0584, grad_norm: 48.0420 2023-11-12 05:46:48,851 - mmseg - INFO - Iter [49750/160000] lr: 6.891e-05, eta: 15:34:04, time: 0.480, data_time: 0.015, memory: 41146, decode.loss_cls: 0.3252, decode.loss_mask: 0.5485, decode.loss_dice: 0.8142, decode.d0.loss_cls: 1.3568, decode.d0.loss_mask: 0.5869, decode.d0.loss_dice: 0.8968, decode.d1.loss_cls: 0.4090, decode.d1.loss_mask: 0.5721, decode.d1.loss_dice: 0.8667, decode.d2.loss_cls: 0.3746, decode.d2.loss_mask: 0.5586, decode.d2.loss_dice: 0.8400, decode.d3.loss_cls: 0.3498, decode.d3.loss_mask: 0.5517, decode.d3.loss_dice: 0.8300, decode.d4.loss_cls: 0.3390, decode.d4.loss_mask: 0.5529, decode.d4.loss_dice: 0.8266, decode.d5.loss_cls: 0.3347, decode.d5.loss_mask: 0.5518, decode.d5.loss_dice: 0.8220, decode.d6.loss_cls: 0.3263, decode.d6.loss_mask: 0.5502, decode.d6.loss_dice: 0.8169, decode.d7.loss_cls: 0.3267, decode.d7.loss_mask: 0.5485, decode.d7.loss_dice: 0.8157, decode.d8.loss_cls: 0.3279, decode.d8.loss_mask: 0.5471, decode.d8.loss_dice: 0.8137, loss: 18.3808, grad_norm: 50.3147 2023-11-12 05:47:13,329 - mmseg - INFO - Iter [49800/160000] lr: 6.888e-05, eta: 15:33:36, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3735, decode.loss_mask: 0.5610, decode.loss_dice: 0.8591, decode.d0.loss_cls: 1.3577, decode.d0.loss_mask: 0.5950, decode.d0.loss_dice: 0.9397, decode.d1.loss_cls: 0.4654, decode.d1.loss_mask: 0.5789, decode.d1.loss_dice: 0.9030, decode.d2.loss_cls: 0.4162, decode.d2.loss_mask: 0.5695, decode.d2.loss_dice: 0.8841, decode.d3.loss_cls: 0.3973, decode.d3.loss_mask: 0.5603, decode.d3.loss_dice: 0.8598, decode.d4.loss_cls: 0.3932, decode.d4.loss_mask: 0.5581, decode.d4.loss_dice: 0.8607, decode.d5.loss_cls: 0.3830, decode.d5.loss_mask: 0.5603, decode.d5.loss_dice: 0.8599, decode.d6.loss_cls: 0.3844, decode.d6.loss_mask: 0.5584, decode.d6.loss_dice: 0.8519, decode.d7.loss_cls: 0.3731, decode.d7.loss_mask: 0.5607, decode.d7.loss_dice: 0.8542, decode.d8.loss_cls: 0.3772, decode.d8.loss_mask: 0.5630, decode.d8.loss_dice: 0.8590, loss: 19.3179, grad_norm: 43.7917 2023-11-12 05:47:37,357 - mmseg - INFO - Iter [49850/160000] lr: 6.884e-05, eta: 15:33:08, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3380, decode.loss_mask: 0.5563, decode.loss_dice: 0.8308, decode.d0.loss_cls: 1.3164, decode.d0.loss_mask: 0.5929, decode.d0.loss_dice: 0.9289, decode.d1.loss_cls: 0.4209, decode.d1.loss_mask: 0.5752, decode.d1.loss_dice: 0.8790, decode.d2.loss_cls: 0.3786, decode.d2.loss_mask: 0.5657, decode.d2.loss_dice: 0.8573, decode.d3.loss_cls: 0.3703, decode.d3.loss_mask: 0.5602, decode.d3.loss_dice: 0.8369, decode.d4.loss_cls: 0.3527, decode.d4.loss_mask: 0.5628, decode.d4.loss_dice: 0.8437, decode.d5.loss_cls: 0.3416, decode.d5.loss_mask: 0.5626, decode.d5.loss_dice: 0.8388, decode.d6.loss_cls: 0.3444, decode.d6.loss_mask: 0.5598, decode.d6.loss_dice: 0.8332, decode.d7.loss_cls: 0.3312, decode.d7.loss_mask: 0.5580, decode.d7.loss_dice: 0.8360, decode.d8.loss_cls: 0.3340, decode.d8.loss_mask: 0.5578, decode.d8.loss_dice: 0.8339, loss: 18.6978, grad_norm: 51.7570 2023-11-12 05:48:01,326 - mmseg - INFO - Iter [49900/160000] lr: 6.881e-05, eta: 15:32:39, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3308, decode.loss_mask: 0.5529, decode.loss_dice: 0.7936, decode.d0.loss_cls: 1.2998, decode.d0.loss_mask: 0.5909, decode.d0.loss_dice: 0.8830, decode.d1.loss_cls: 0.4182, decode.d1.loss_mask: 0.5665, decode.d1.loss_dice: 0.8441, decode.d2.loss_cls: 0.3706, decode.d2.loss_mask: 0.5598, decode.d2.loss_dice: 0.8149, decode.d3.loss_cls: 0.3480, decode.d3.loss_mask: 0.5583, decode.d3.loss_dice: 0.8038, decode.d4.loss_cls: 0.3394, decode.d4.loss_mask: 0.5561, decode.d4.loss_dice: 0.8001, decode.d5.loss_cls: 0.3358, decode.d5.loss_mask: 0.5536, decode.d5.loss_dice: 0.7982, decode.d6.loss_cls: 0.3378, decode.d6.loss_mask: 0.5555, decode.d6.loss_dice: 0.7936, decode.d7.loss_cls: 0.3359, decode.d7.loss_mask: 0.5539, decode.d7.loss_dice: 0.7931, decode.d8.loss_cls: 0.3360, decode.d8.loss_mask: 0.5516, decode.d8.loss_dice: 0.7973, loss: 18.1731, grad_norm: 47.4226 2023-11-12 05:48:25,489 - mmseg - INFO - Iter [49950/160000] lr: 6.878e-05, eta: 15:32:11, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3272, decode.loss_mask: 0.5445, decode.loss_dice: 0.8009, decode.d0.loss_cls: 1.3500, decode.d0.loss_mask: 0.5873, decode.d0.loss_dice: 0.8879, decode.d1.loss_cls: 0.4016, decode.d1.loss_mask: 0.5672, decode.d1.loss_dice: 0.8504, decode.d2.loss_cls: 0.3600, decode.d2.loss_mask: 0.5536, decode.d2.loss_dice: 0.8290, decode.d3.loss_cls: 0.3472, decode.d3.loss_mask: 0.5469, decode.d3.loss_dice: 0.8074, decode.d4.loss_cls: 0.3378, decode.d4.loss_mask: 0.5486, decode.d4.loss_dice: 0.8068, decode.d5.loss_cls: 0.3338, decode.d5.loss_mask: 0.5500, decode.d5.loss_dice: 0.8104, decode.d6.loss_cls: 0.3307, decode.d6.loss_mask: 0.5464, decode.d6.loss_dice: 0.8006, decode.d7.loss_cls: 0.3288, decode.d7.loss_mask: 0.5444, decode.d7.loss_dice: 0.8045, decode.d8.loss_cls: 0.3274, decode.d8.loss_mask: 0.5458, decode.d8.loss_dice: 0.8011, loss: 18.1782, grad_norm: 44.7050 2023-11-12 05:48:49,370 - mmseg - INFO - Saving checkpoint at 50000 iterations 2023-11-12 05:48:53,285 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 05:48:53,285 - mmseg - INFO - Iter [50000/160000] lr: 6.875e-05, eta: 15:31:51, time: 0.556, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3414, decode.loss_mask: 0.5616, decode.loss_dice: 0.8215, decode.d0.loss_cls: 1.3115, decode.d0.loss_mask: 0.6032, decode.d0.loss_dice: 0.9049, decode.d1.loss_cls: 0.4241, decode.d1.loss_mask: 0.5833, decode.d1.loss_dice: 0.8693, decode.d2.loss_cls: 0.3761, decode.d2.loss_mask: 0.5731, decode.d2.loss_dice: 0.8458, decode.d3.loss_cls: 0.3574, decode.d3.loss_mask: 0.5704, decode.d3.loss_dice: 0.8330, decode.d4.loss_cls: 0.3504, decode.d4.loss_mask: 0.5698, decode.d4.loss_dice: 0.8317, decode.d5.loss_cls: 0.3507, decode.d5.loss_mask: 0.5660, decode.d5.loss_dice: 0.8319, decode.d6.loss_cls: 0.3493, decode.d6.loss_mask: 0.5645, decode.d6.loss_dice: 0.8202, decode.d7.loss_cls: 0.3431, decode.d7.loss_mask: 0.5620, decode.d7.loss_dice: 0.8230, decode.d8.loss_cls: 0.3421, decode.d8.loss_mask: 0.5628, decode.d8.loss_dice: 0.8213, loss: 18.6651, grad_norm: 51.6274 2023-11-12 05:49:14,402 - mmseg - INFO - per class results: 2023-11-12 05:49:14,407 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.14 | 88.39 | | building | 82.55 | 90.37 | | sky | 94.4 | 96.71 | | floor | 83.33 | 90.06 | | tree | 75.25 | 89.66 | | ceiling | 84.89 | 92.12 | | road | 85.2 | 90.34 | | bed | 90.32 | 93.88 | | windowpane | 64.71 | 78.96 | | grass | 66.08 | 76.54 | | cabinet | 63.19 | 76.54 | | sidewalk | 66.58 | 80.26 | | person | 85.02 | 91.83 | | earth | 30.27 | 40.07 | | door | 53.94 | 72.07 | | table | 64.69 | 78.94 | | mountain | 65.18 | 76.11 | | plant | 55.91 | 69.42 | | curtain | 79.24 | 89.01 | | chair | 62.18 | 75.37 | | car | 86.09 | 93.04 | | water | 52.81 | 71.47 | | painting | 73.61 | 87.48 | | sofa | 72.73 | 82.95 | | shelf | 40.63 | 61.16 | | house | 33.19 | 44.11 | | sea | 58.51 | 80.74 | | mirror | 68.28 | 85.82 | | rug | 68.65 | 81.78 | | field | 29.02 | 66.71 | | armchair | 52.18 | 73.94 | | seat | 56.74 | 83.31 | | fence | 43.25 | 67.39 | | desk | 49.54 | 73.62 | | rock | 48.85 | 77.9 | | wardrobe | 43.72 | 65.15 | | lamp | 69.04 | 80.57 | | bathtub | 80.25 | 88.56 | | railing | 32.65 | 56.91 | | cushion | 61.93 | 80.22 | | base | 30.81 | 57.5 | | box | 27.28 | 40.83 | | column | 46.57 | 59.12 | | signboard | 37.98 | 56.28 | | chest of drawers | 44.97 | 60.7 | | counter | 31.56 | 42.79 | | sand | 30.99 | 50.35 | | sink | 77.4 | 82.81 | | skyscraper | 39.26 | 44.54 | | fireplace | 70.82 | 96.74 | | refrigerator | 80.6 | 88.53 | | grandstand | 39.44 | 72.25 | | path | 20.98 | 34.38 | | stairs | 27.46 | 35.27 | | runway | 79.56 | 92.22 | | case | 49.5 | 57.66 | | pool table | 94.28 | 96.88 | | pillow | 56.89 | 73.09 | | screen door | 67.23 | 73.63 | | stairway | 34.62 | 47.36 | | river | 14.11 | 17.7 | | bridge | 73.52 | 85.98 | | bookcase | 32.26 | 50.17 | | blind | 46.25 | 53.43 | | coffee table | 65.5 | 84.29 | | toilet | 87.56 | 92.02 | | flower | 42.8 | 59.17 | | book | 52.7 | 75.81 | | hill | 8.42 | 12.55 | | bench | 43.37 | 48.14 | | countertop | 64.13 | 81.73 | | stove | 81.46 | 86.52 | | palm | 56.89 | 68.87 | | kitchen island | 45.85 | 80.28 | | computer | 65.95 | 70.92 | | swivel chair | 42.8 | 72.39 | | boat | 70.12 | 85.81 | | bar | 55.47 | 62.2 | | arcade machine | 44.41 | 47.04 | | hovel | 37.29 | 51.71 | | bus | 90.86 | 97.17 | | towel | 64.18 | 81.22 | | light | 56.14 | 79.82 | | truck | 40.5 | 54.9 | | tower | 29.86 | 50.32 | | chandelier | 68.08 | 83.04 | | awning | 38.43 | 52.83 | | streetlight | 40.88 | 56.13 | | booth | 30.76 | 37.93 | | television receiver | 67.1 | 80.73 | | airplane | 73.19 | 83.26 | | dirt track | 0.05 | 0.23 | | apparel | 29.02 | 64.6 | | pole | 35.73 | 59.73 | | land | 4.18 | 12.05 | | bannister | 17.45 | 25.72 | | escalator | 49.2 | 80.63 | | ottoman | 60.1 | 75.06 | | bottle | 29.26 | 39.41 | | buffet | 39.71 | 52.92 | | poster | 20.7 | 32.9 | | stage | 24.77 | 36.16 | | van | 34.03 | 52.11 | | ship | 3.83 | 4.05 | | fountain | 2.07 | 2.25 | | conveyer belt | 52.01 | 75.09 | | canopy | 26.57 | 49.04 | | washer | 64.18 | 75.2 | | plaything | 43.01 | 71.99 | | swimming pool | 44.88 | 68.11 | | stool | 52.82 | 70.21 | | barrel | 84.95 | 97.09 | | basket | 38.93 | 55.27 | | waterfall | 43.23 | 61.99 | | tent | 95.44 | 98.0 | | bag | 18.5 | 27.99 | | minibike | 74.53 | 92.34 | | cradle | 86.44 | 97.16 | | oven | 47.81 | 66.65 | | ball | 46.93 | 53.48 | | food | 64.65 | 86.62 | | step | 13.17 | 17.64 | | tank | 53.28 | 55.96 | | trade name | 20.65 | 24.98 | | microwave | 86.24 | 94.85 | | pot | 48.03 | 55.78 | | animal | 73.76 | 78.8 | | bicycle | 63.35 | 81.21 | | lake | 0.01 | 0.02 | | dishwasher | 78.35 | 83.31 | | screen | 59.13 | 88.85 | | blanket | 24.77 | 35.41 | | sculpture | 60.62 | 85.6 | | hood | 69.97 | 81.6 | | sconce | 51.83 | 72.51 | | vase | 50.65 | 76.56 | | traffic light | 42.56 | 68.0 | | tray | 23.53 | 38.13 | | ashcan | 49.17 | 63.92 | | fan | 68.95 | 83.86 | | pier | 21.29 | 30.03 | | crt screen | 4.99 | 13.08 | | plate | 58.87 | 75.32 | | monitor | 7.54 | 13.09 | | bulletin board | 34.42 | 42.52 | | shower | 9.34 | 29.79 | | radiator | 70.19 | 81.69 | | glass | 21.83 | 26.27 | | clock | 32.94 | 46.02 | | flag | 48.27 | 57.88 | +---------------------+-------+-------+ 2023-11-12 05:49:14,407 - mmseg - INFO - Summary: 2023-11-12 05:49:14,407 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.55 | 51.04 | 64.89 | +-------+-------+-------+ 2023-11-12 05:49:14,408 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 05:49:14,408 - mmseg - INFO - Iter(val) [250] aAcc: 0.8355, mIoU: 0.5104, mAcc: 0.6489, IoU.wall: 0.7914, IoU.building: 0.8255, IoU.sky: 0.9440, IoU.floor: 0.8333, IoU.tree: 0.7525, IoU.ceiling: 0.8489, IoU.road: 0.8520, IoU.bed : 0.9032, IoU.windowpane: 0.6471, IoU.grass: 0.6608, IoU.cabinet: 0.6319, IoU.sidewalk: 0.6658, IoU.person: 0.8502, IoU.earth: 0.3027, IoU.door: 0.5394, IoU.table: 0.6469, IoU.mountain: 0.6518, IoU.plant: 0.5591, IoU.curtain: 0.7924, IoU.chair: 0.6218, IoU.car: 0.8609, IoU.water: 0.5281, IoU.painting: 0.7361, IoU.sofa: 0.7273, IoU.shelf: 0.4063, IoU.house: 0.3319, IoU.sea: 0.5851, IoU.mirror: 0.6828, IoU.rug: 0.6865, IoU.field: 0.2902, IoU.armchair: 0.5218, IoU.seat: 0.5674, IoU.fence: 0.4325, IoU.desk: 0.4954, IoU.rock: 0.4885, IoU.wardrobe: 0.4372, IoU.lamp: 0.6904, IoU.bathtub: 0.8025, IoU.railing: 0.3265, IoU.cushion: 0.6193, IoU.base: 0.3081, IoU.box: 0.2728, IoU.column: 0.4657, IoU.signboard: 0.3798, IoU.chest of drawers: 0.4497, IoU.counter: 0.3156, IoU.sand: 0.3099, IoU.sink: 0.7740, IoU.skyscraper: 0.3926, IoU.fireplace: 0.7082, IoU.refrigerator: 0.8060, IoU.grandstand: 0.3944, IoU.path: 0.2098, IoU.stairs: 0.2746, IoU.runway: 0.7956, IoU.case: 0.4950, IoU.pool table: 0.9428, IoU.pillow: 0.5689, IoU.screen door: 0.6723, IoU.stairway: 0.3462, IoU.river: 0.1411, IoU.bridge: 0.7352, IoU.bookcase: 0.3226, IoU.blind: 0.4625, IoU.coffee table: 0.6550, IoU.toilet: 0.8756, IoU.flower: 0.4280, IoU.book: 0.5270, IoU.hill: 0.0842, IoU.bench: 0.4337, IoU.countertop: 0.6413, IoU.stove: 0.8146, IoU.palm: 0.5689, IoU.kitchen island: 0.4585, IoU.computer: 0.6595, IoU.swivel chair: 0.4280, IoU.boat: 0.7012, IoU.bar: 0.5547, IoU.arcade machine: 0.4441, IoU.hovel: 0.3729, IoU.bus: 0.9086, IoU.towel: 0.6418, IoU.light: 0.5614, IoU.truck: 0.4050, IoU.tower: 0.2986, IoU.chandelier: 0.6808, IoU.awning: 0.3843, IoU.streetlight: 0.4088, IoU.booth: 0.3076, IoU.television receiver: 0.6710, IoU.airplane: 0.7319, IoU.dirt track: 0.0005, IoU.apparel: 0.2902, IoU.pole: 0.3573, IoU.land: 0.0418, IoU.bannister: 0.1745, IoU.escalator: 0.4920, IoU.ottoman: 0.6010, IoU.bottle: 0.2926, IoU.buffet: 0.3971, IoU.poster: 0.2070, IoU.stage: 0.2477, IoU.van: 0.3403, IoU.ship: 0.0383, IoU.fountain: 0.0207, IoU.conveyer belt: 0.5201, IoU.canopy: 0.2657, IoU.washer: 0.6418, IoU.plaything: 0.4301, IoU.swimming pool: 0.4488, IoU.stool: 0.5282, IoU.barrel: 0.8495, IoU.basket: 0.3893, IoU.waterfall: 0.4323, IoU.tent: 0.9544, IoU.bag: 0.1850, IoU.minibike: 0.7453, IoU.cradle: 0.8644, IoU.oven: 0.4781, IoU.ball: 0.4693, IoU.food: 0.6465, IoU.step: 0.1317, IoU.tank: 0.5328, IoU.trade name: 0.2065, IoU.microwave: 0.8624, IoU.pot: 0.4803, IoU.animal: 0.7376, IoU.bicycle: 0.6335, IoU.lake: 0.0001, IoU.dishwasher: 0.7835, IoU.screen: 0.5913, IoU.blanket: 0.2477, IoU.sculpture: 0.6062, IoU.hood: 0.6997, IoU.sconce: 0.5183, IoU.vase: 0.5065, IoU.traffic light: 0.4256, IoU.tray: 0.2353, IoU.ashcan: 0.4917, IoU.fan: 0.6895, IoU.pier: 0.2129, IoU.crt screen: 0.0499, IoU.plate: 0.5887, IoU.monitor: 0.0754, IoU.bulletin board: 0.3442, IoU.shower: 0.0934, IoU.radiator: 0.7019, IoU.glass: 0.2183, IoU.clock: 0.3294, IoU.flag: 0.4827, Acc.wall: 0.8839, Acc.building: 0.9037, Acc.sky: 0.9671, Acc.floor: 0.9006, Acc.tree: 0.8966, Acc.ceiling: 0.9212, Acc.road: 0.9034, Acc.bed : 0.9388, Acc.windowpane: 0.7896, Acc.grass: 0.7654, Acc.cabinet: 0.7654, Acc.sidewalk: 0.8026, Acc.person: 0.9183, Acc.earth: 0.4007, Acc.door: 0.7207, Acc.table: 0.7894, Acc.mountain: 0.7611, Acc.plant: 0.6942, Acc.curtain: 0.8901, Acc.chair: 0.7537, Acc.car: 0.9304, Acc.water: 0.7147, Acc.painting: 0.8748, Acc.sofa: 0.8295, Acc.shelf: 0.6116, Acc.house: 0.4411, Acc.sea: 0.8074, Acc.mirror: 0.8582, Acc.rug: 0.8178, Acc.field: 0.6671, Acc.armchair: 0.7394, Acc.seat: 0.8331, Acc.fence: 0.6739, Acc.desk: 0.7362, Acc.rock: 0.7790, Acc.wardrobe: 0.6515, Acc.lamp: 0.8057, Acc.bathtub: 0.8856, Acc.railing: 0.5691, Acc.cushion: 0.8022, Acc.base: 0.5750, Acc.box: 0.4083, Acc.column: 0.5912, Acc.signboard: 0.5628, Acc.chest of drawers: 0.6070, Acc.counter: 0.4279, Acc.sand: 0.5035, Acc.sink: 0.8281, Acc.skyscraper: 0.4454, Acc.fireplace: 0.9674, Acc.refrigerator: 0.8853, Acc.grandstand: 0.7225, Acc.path: 0.3438, Acc.stairs: 0.3527, Acc.runway: 0.9222, Acc.case: 0.5766, Acc.pool table: 0.9688, Acc.pillow: 0.7309, Acc.screen door: 0.7363, Acc.stairway: 0.4736, Acc.river: 0.1770, Acc.bridge: 0.8598, Acc.bookcase: 0.5017, Acc.blind: 0.5343, Acc.coffee table: 0.8429, Acc.toilet: 0.9202, Acc.flower: 0.5917, Acc.book: 0.7581, Acc.hill: 0.1255, Acc.bench: 0.4814, Acc.countertop: 0.8173, Acc.stove: 0.8652, Acc.palm: 0.6887, Acc.kitchen island: 0.8028, Acc.computer: 0.7092, Acc.swivel chair: 0.7239, Acc.boat: 0.8581, Acc.bar: 0.6220, Acc.arcade machine: 0.4704, Acc.hovel: 0.5171, Acc.bus: 0.9717, Acc.towel: 0.8122, Acc.light: 0.7982, Acc.truck: 0.5490, Acc.tower: 0.5032, Acc.chandelier: 0.8304, Acc.awning: 0.5283, Acc.streetlight: 0.5613, Acc.booth: 0.3793, Acc.television receiver: 0.8073, Acc.airplane: 0.8326, Acc.dirt track: 0.0023, Acc.apparel: 0.6460, Acc.pole: 0.5973, Acc.land: 0.1205, Acc.bannister: 0.2572, Acc.escalator: 0.8063, Acc.ottoman: 0.7506, Acc.bottle: 0.3941, Acc.buffet: 0.5292, Acc.poster: 0.3290, Acc.stage: 0.3616, Acc.van: 0.5211, Acc.ship: 0.0405, Acc.fountain: 0.0225, Acc.conveyer belt: 0.7509, Acc.canopy: 0.4904, Acc.washer: 0.7520, Acc.plaything: 0.7199, Acc.swimming pool: 0.6811, Acc.stool: 0.7021, Acc.barrel: 0.9709, Acc.basket: 0.5527, Acc.waterfall: 0.6199, Acc.tent: 0.9800, Acc.bag: 0.2799, Acc.minibike: 0.9234, Acc.cradle: 0.9716, Acc.oven: 0.6665, Acc.ball: 0.5348, Acc.food: 0.8662, Acc.step: 0.1764, Acc.tank: 0.5596, Acc.trade name: 0.2498, Acc.microwave: 0.9485, Acc.pot: 0.5578, Acc.animal: 0.7880, Acc.bicycle: 0.8121, Acc.lake: 0.0002, Acc.dishwasher: 0.8331, Acc.screen: 0.8885, Acc.blanket: 0.3541, Acc.sculpture: 0.8560, Acc.hood: 0.8160, Acc.sconce: 0.7251, Acc.vase: 0.7656, Acc.traffic light: 0.6800, Acc.tray: 0.3813, Acc.ashcan: 0.6392, Acc.fan: 0.8386, Acc.pier: 0.3003, Acc.crt screen: 0.1308, Acc.plate: 0.7532, Acc.monitor: 0.1309, Acc.bulletin board: 0.4252, Acc.shower: 0.2979, Acc.radiator: 0.8169, Acc.glass: 0.2627, Acc.clock: 0.4602, Acc.flag: 0.5788 2023-11-12 05:49:38,535 - mmseg - INFO - Iter [50050/160000] lr: 6.872e-05, eta: 15:32:09, time: 0.905, data_time: 0.435, memory: 41146, decode.loss_cls: 0.3335, decode.loss_mask: 0.5418, decode.loss_dice: 0.7828, decode.d0.loss_cls: 1.3254, decode.d0.loss_mask: 0.5780, decode.d0.loss_dice: 0.8607, decode.d1.loss_cls: 0.4190, decode.d1.loss_mask: 0.5634, decode.d1.loss_dice: 0.8240, decode.d2.loss_cls: 0.3663, decode.d2.loss_mask: 0.5515, decode.d2.loss_dice: 0.8050, decode.d3.loss_cls: 0.3515, decode.d3.loss_mask: 0.5453, decode.d3.loss_dice: 0.7901, decode.d4.loss_cls: 0.3443, decode.d4.loss_mask: 0.5463, decode.d4.loss_dice: 0.7922, decode.d5.loss_cls: 0.3361, decode.d5.loss_mask: 0.5461, decode.d5.loss_dice: 0.7876, decode.d6.loss_cls: 0.3348, decode.d6.loss_mask: 0.5420, decode.d6.loss_dice: 0.7811, decode.d7.loss_cls: 0.3350, decode.d7.loss_mask: 0.5439, decode.d7.loss_dice: 0.7840, decode.d8.loss_cls: 0.3298, decode.d8.loss_mask: 0.5450, decode.d8.loss_dice: 0.7842, loss: 17.9706, grad_norm: 49.3492 2023-11-12 05:50:02,664 - mmseg - INFO - Iter [50100/160000] lr: 6.869e-05, eta: 15:31:41, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3699, decode.loss_mask: 0.5608, decode.loss_dice: 0.8388, decode.d0.loss_cls: 1.3940, decode.d0.loss_mask: 0.5933, decode.d0.loss_dice: 0.9287, decode.d1.loss_cls: 0.4609, decode.d1.loss_mask: 0.5816, decode.d1.loss_dice: 0.8929, decode.d2.loss_cls: 0.4142, decode.d2.loss_mask: 0.5679, decode.d2.loss_dice: 0.8648, decode.d3.loss_cls: 0.4009, decode.d3.loss_mask: 0.5656, decode.d3.loss_dice: 0.8515, decode.d4.loss_cls: 0.3869, decode.d4.loss_mask: 0.5627, decode.d4.loss_dice: 0.8539, decode.d5.loss_cls: 0.3793, decode.d5.loss_mask: 0.5629, decode.d5.loss_dice: 0.8502, decode.d6.loss_cls: 0.3806, decode.d6.loss_mask: 0.5598, decode.d6.loss_dice: 0.8386, decode.d7.loss_cls: 0.3803, decode.d7.loss_mask: 0.5602, decode.d7.loss_dice: 0.8459, decode.d8.loss_cls: 0.3678, decode.d8.loss_mask: 0.5648, decode.d8.loss_dice: 0.8449, loss: 19.2247, grad_norm: 47.7928 2023-11-12 05:50:26,924 - mmseg - INFO - Iter [50150/160000] lr: 6.866e-05, eta: 15:31:13, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3477, decode.loss_mask: 0.5548, decode.loss_dice: 0.8061, decode.d0.loss_cls: 1.3472, decode.d0.loss_mask: 0.5963, decode.d0.loss_dice: 0.8894, decode.d1.loss_cls: 0.4335, decode.d1.loss_mask: 0.5747, decode.d1.loss_dice: 0.8554, decode.d2.loss_cls: 0.3898, decode.d2.loss_mask: 0.5666, decode.d2.loss_dice: 0.8320, decode.d3.loss_cls: 0.3688, decode.d3.loss_mask: 0.5589, decode.d3.loss_dice: 0.8164, decode.d4.loss_cls: 0.3582, decode.d4.loss_mask: 0.5578, decode.d4.loss_dice: 0.8156, decode.d5.loss_cls: 0.3592, decode.d5.loss_mask: 0.5551, decode.d5.loss_dice: 0.8117, decode.d6.loss_cls: 0.3514, decode.d6.loss_mask: 0.5525, decode.d6.loss_dice: 0.8082, decode.d7.loss_cls: 0.3511, decode.d7.loss_mask: 0.5530, decode.d7.loss_dice: 0.8046, decode.d8.loss_cls: 0.3460, decode.d8.loss_mask: 0.5528, decode.d8.loss_dice: 0.8085, loss: 18.5233, grad_norm: 47.8481 2023-11-12 05:50:51,305 - mmseg - INFO - Iter [50200/160000] lr: 6.863e-05, eta: 15:30:45, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3455, decode.loss_mask: 0.5482, decode.loss_dice: 0.8229, decode.d0.loss_cls: 1.3674, decode.d0.loss_mask: 0.5806, decode.d0.loss_dice: 0.8971, decode.d1.loss_cls: 0.4278, decode.d1.loss_mask: 0.5714, decode.d1.loss_dice: 0.8694, decode.d2.loss_cls: 0.3829, decode.d2.loss_mask: 0.5512, decode.d2.loss_dice: 0.8438, decode.d3.loss_cls: 0.3628, decode.d3.loss_mask: 0.5504, decode.d3.loss_dice: 0.8323, decode.d4.loss_cls: 0.3588, decode.d4.loss_mask: 0.5493, decode.d4.loss_dice: 0.8248, decode.d5.loss_cls: 0.3510, decode.d5.loss_mask: 0.5492, decode.d5.loss_dice: 0.8257, decode.d6.loss_cls: 0.3523, decode.d6.loss_mask: 0.5479, decode.d6.loss_dice: 0.8187, decode.d7.loss_cls: 0.3491, decode.d7.loss_mask: 0.5492, decode.d7.loss_dice: 0.8183, decode.d8.loss_cls: 0.3468, decode.d8.loss_mask: 0.5469, decode.d8.loss_dice: 0.8262, loss: 18.5681, grad_norm: 48.0020 2023-11-12 05:51:15,315 - mmseg - INFO - Iter [50250/160000] lr: 6.859e-05, eta: 15:30:16, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3331, decode.loss_mask: 0.5416, decode.loss_dice: 0.8174, decode.d0.loss_cls: 1.3374, decode.d0.loss_mask: 0.5815, decode.d0.loss_dice: 0.8996, decode.d1.loss_cls: 0.4185, decode.d1.loss_mask: 0.5679, decode.d1.loss_dice: 0.8606, decode.d2.loss_cls: 0.3731, decode.d2.loss_mask: 0.5539, decode.d2.loss_dice: 0.8388, decode.d3.loss_cls: 0.3546, decode.d3.loss_mask: 0.5480, decode.d3.loss_dice: 0.8260, decode.d4.loss_cls: 0.3484, decode.d4.loss_mask: 0.5466, decode.d4.loss_dice: 0.8258, decode.d5.loss_cls: 0.3423, decode.d5.loss_mask: 0.5451, decode.d5.loss_dice: 0.8202, decode.d6.loss_cls: 0.3450, decode.d6.loss_mask: 0.5430, decode.d6.loss_dice: 0.8197, decode.d7.loss_cls: 0.3371, decode.d7.loss_mask: 0.5439, decode.d7.loss_dice: 0.8186, decode.d8.loss_cls: 0.3376, decode.d8.loss_mask: 0.5429, decode.d8.loss_dice: 0.8200, loss: 18.3883, grad_norm: 44.8845 2023-11-12 05:51:39,346 - mmseg - INFO - Iter [50300/160000] lr: 6.856e-05, eta: 15:29:48, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3579, decode.loss_mask: 0.5676, decode.loss_dice: 0.8222, decode.d0.loss_cls: 1.3457, decode.d0.loss_mask: 0.5993, decode.d0.loss_dice: 0.9109, decode.d1.loss_cls: 0.4317, decode.d1.loss_mask: 0.5858, decode.d1.loss_dice: 0.8770, decode.d2.loss_cls: 0.3920, decode.d2.loss_mask: 0.5801, decode.d2.loss_dice: 0.8475, decode.d3.loss_cls: 0.3737, decode.d3.loss_mask: 0.5701, decode.d3.loss_dice: 0.8305, decode.d4.loss_cls: 0.3644, decode.d4.loss_mask: 0.5708, decode.d4.loss_dice: 0.8316, decode.d5.loss_cls: 0.3609, decode.d5.loss_mask: 0.5695, decode.d5.loss_dice: 0.8283, decode.d6.loss_cls: 0.3618, decode.d6.loss_mask: 0.5688, decode.d6.loss_dice: 0.8233, decode.d7.loss_cls: 0.3558, decode.d7.loss_mask: 0.5703, decode.d7.loss_dice: 0.8234, decode.d8.loss_cls: 0.3558, decode.d8.loss_mask: 0.5679, decode.d8.loss_dice: 0.8281, loss: 18.8726, grad_norm: 47.4685 2023-11-12 05:52:03,462 - mmseg - INFO - Iter [50350/160000] lr: 6.853e-05, eta: 15:29:20, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3623, decode.loss_mask: 0.5655, decode.loss_dice: 0.8381, decode.d0.loss_cls: 1.3542, decode.d0.loss_mask: 0.6069, decode.d0.loss_dice: 0.9207, decode.d1.loss_cls: 0.4435, decode.d1.loss_mask: 0.5948, decode.d1.loss_dice: 0.8955, decode.d2.loss_cls: 0.3859, decode.d2.loss_mask: 0.5786, decode.d2.loss_dice: 0.8682, decode.d3.loss_cls: 0.3782, decode.d3.loss_mask: 0.5703, decode.d3.loss_dice: 0.8487, decode.d4.loss_cls: 0.3712, decode.d4.loss_mask: 0.5719, decode.d4.loss_dice: 0.8502, decode.d5.loss_cls: 0.3659, decode.d5.loss_mask: 0.5726, decode.d5.loss_dice: 0.8523, decode.d6.loss_cls: 0.3547, decode.d6.loss_mask: 0.5693, decode.d6.loss_dice: 0.8438, decode.d7.loss_cls: 0.3553, decode.d7.loss_mask: 0.5723, decode.d7.loss_dice: 0.8421, decode.d8.loss_cls: 0.3620, decode.d8.loss_mask: 0.5643, decode.d8.loss_dice: 0.8370, loss: 19.0963, grad_norm: 47.3213 2023-11-12 05:52:27,447 - mmseg - INFO - Iter [50400/160000] lr: 6.850e-05, eta: 15:28:51, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3525, decode.loss_mask: 0.5711, decode.loss_dice: 0.8202, decode.d0.loss_cls: 1.3342, decode.d0.loss_mask: 0.6129, decode.d0.loss_dice: 0.9000, decode.d1.loss_cls: 0.4315, decode.d1.loss_mask: 0.5891, decode.d1.loss_dice: 0.8727, decode.d2.loss_cls: 0.3814, decode.d2.loss_mask: 0.5814, decode.d2.loss_dice: 0.8454, decode.d3.loss_cls: 0.3667, decode.d3.loss_mask: 0.5783, decode.d3.loss_dice: 0.8272, decode.d4.loss_cls: 0.3618, decode.d4.loss_mask: 0.5766, decode.d4.loss_dice: 0.8288, decode.d5.loss_cls: 0.3551, decode.d5.loss_mask: 0.5768, decode.d5.loss_dice: 0.8248, decode.d6.loss_cls: 0.3580, decode.d6.loss_mask: 0.5751, decode.d6.loss_dice: 0.8165, decode.d7.loss_cls: 0.3528, decode.d7.loss_mask: 0.5740, decode.d7.loss_dice: 0.8163, decode.d8.loss_cls: 0.3519, decode.d8.loss_mask: 0.5733, decode.d8.loss_dice: 0.8191, loss: 18.8257, grad_norm: 50.7973 2023-11-12 05:52:51,458 - mmseg - INFO - Iter [50450/160000] lr: 6.847e-05, eta: 15:28:22, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3445, decode.loss_mask: 0.5587, decode.loss_dice: 0.8166, decode.d0.loss_cls: 1.3846, decode.d0.loss_mask: 0.5883, decode.d0.loss_dice: 0.9049, decode.d1.loss_cls: 0.4363, decode.d1.loss_mask: 0.5763, decode.d1.loss_dice: 0.8683, decode.d2.loss_cls: 0.3849, decode.d2.loss_mask: 0.5649, decode.d2.loss_dice: 0.8408, decode.d3.loss_cls: 0.3662, decode.d3.loss_mask: 0.5589, decode.d3.loss_dice: 0.8184, decode.d4.loss_cls: 0.3590, decode.d4.loss_mask: 0.5611, decode.d4.loss_dice: 0.8220, decode.d5.loss_cls: 0.3560, decode.d5.loss_mask: 0.5599, decode.d5.loss_dice: 0.8211, decode.d6.loss_cls: 0.3489, decode.d6.loss_mask: 0.5581, decode.d6.loss_dice: 0.8175, decode.d7.loss_cls: 0.3458, decode.d7.loss_mask: 0.5584, decode.d7.loss_dice: 0.8166, decode.d8.loss_cls: 0.3424, decode.d8.loss_mask: 0.5597, decode.d8.loss_dice: 0.8194, loss: 18.6585, grad_norm: 49.6884 2023-11-12 05:53:15,462 - mmseg - INFO - Iter [50500/160000] lr: 6.844e-05, eta: 15:27:54, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3549, decode.loss_mask: 0.5635, decode.loss_dice: 0.8290, decode.d0.loss_cls: 1.3482, decode.d0.loss_mask: 0.6044, decode.d0.loss_dice: 0.9096, decode.d1.loss_cls: 0.4312, decode.d1.loss_mask: 0.5838, decode.d1.loss_dice: 0.8798, decode.d2.loss_cls: 0.3913, decode.d2.loss_mask: 0.5729, decode.d2.loss_dice: 0.8530, decode.d3.loss_cls: 0.3752, decode.d3.loss_mask: 0.5677, decode.d3.loss_dice: 0.8361, decode.d4.loss_cls: 0.3704, decode.d4.loss_mask: 0.5634, decode.d4.loss_dice: 0.8377, decode.d5.loss_cls: 0.3625, decode.d5.loss_mask: 0.5646, decode.d5.loss_dice: 0.8336, decode.d6.loss_cls: 0.3559, decode.d6.loss_mask: 0.5667, decode.d6.loss_dice: 0.8289, decode.d7.loss_cls: 0.3519, decode.d7.loss_mask: 0.5634, decode.d7.loss_dice: 0.8340, decode.d8.loss_cls: 0.3579, decode.d8.loss_mask: 0.5633, decode.d8.loss_dice: 0.8287, loss: 18.8834, grad_norm: 46.2675 2023-11-12 05:53:41,812 - mmseg - INFO - Iter [50550/160000] lr: 6.841e-05, eta: 15:27:31, time: 0.527, data_time: 0.060, memory: 41146, decode.loss_cls: 0.3482, decode.loss_mask: 0.5391, decode.loss_dice: 0.7857, decode.d0.loss_cls: 1.3574, decode.d0.loss_mask: 0.5785, decode.d0.loss_dice: 0.8726, decode.d1.loss_cls: 0.4304, decode.d1.loss_mask: 0.5562, decode.d1.loss_dice: 0.8389, decode.d2.loss_cls: 0.3865, decode.d2.loss_mask: 0.5483, decode.d2.loss_dice: 0.8111, decode.d3.loss_cls: 0.3628, decode.d3.loss_mask: 0.5463, decode.d3.loss_dice: 0.7945, decode.d4.loss_cls: 0.3571, decode.d4.loss_mask: 0.5444, decode.d4.loss_dice: 0.7925, decode.d5.loss_cls: 0.3554, decode.d5.loss_mask: 0.5419, decode.d5.loss_dice: 0.7940, decode.d6.loss_cls: 0.3484, decode.d6.loss_mask: 0.5412, decode.d6.loss_dice: 0.7902, decode.d7.loss_cls: 0.3461, decode.d7.loss_mask: 0.5424, decode.d7.loss_dice: 0.7882, decode.d8.loss_cls: 0.3417, decode.d8.loss_mask: 0.5444, decode.d8.loss_dice: 0.7885, loss: 18.1729, grad_norm: 48.1574 2023-11-12 05:54:06,238 - mmseg - INFO - Iter [50600/160000] lr: 6.838e-05, eta: 15:27:03, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3477, decode.loss_mask: 0.5382, decode.loss_dice: 0.8107, decode.d0.loss_cls: 1.3832, decode.d0.loss_mask: 0.5707, decode.d0.loss_dice: 0.8977, decode.d1.loss_cls: 0.4223, decode.d1.loss_mask: 0.5611, decode.d1.loss_dice: 0.8624, decode.d2.loss_cls: 0.3822, decode.d2.loss_mask: 0.5496, decode.d2.loss_dice: 0.8415, decode.d3.loss_cls: 0.3660, decode.d3.loss_mask: 0.5446, decode.d3.loss_dice: 0.8291, decode.d4.loss_cls: 0.3499, decode.d4.loss_mask: 0.5433, decode.d4.loss_dice: 0.8267, decode.d5.loss_cls: 0.3556, decode.d5.loss_mask: 0.5389, decode.d5.loss_dice: 0.8199, decode.d6.loss_cls: 0.3492, decode.d6.loss_mask: 0.5396, decode.d6.loss_dice: 0.8160, decode.d7.loss_cls: 0.3449, decode.d7.loss_mask: 0.5388, decode.d7.loss_dice: 0.8192, decode.d8.loss_cls: 0.3454, decode.d8.loss_mask: 0.5384, decode.d8.loss_dice: 0.8185, loss: 18.4512, grad_norm: 46.2495 2023-11-12 05:54:30,313 - mmseg - INFO - Iter [50650/160000] lr: 6.834e-05, eta: 15:26:35, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3342, decode.loss_mask: 0.5357, decode.loss_dice: 0.7970, decode.d0.loss_cls: 1.3683, decode.d0.loss_mask: 0.5669, decode.d0.loss_dice: 0.8777, decode.d1.loss_cls: 0.4267, decode.d1.loss_mask: 0.5538, decode.d1.loss_dice: 0.8413, decode.d2.loss_cls: 0.3718, decode.d2.loss_mask: 0.5413, decode.d2.loss_dice: 0.8180, decode.d3.loss_cls: 0.3483, decode.d3.loss_mask: 0.5374, decode.d3.loss_dice: 0.8057, decode.d4.loss_cls: 0.3480, decode.d4.loss_mask: 0.5391, decode.d4.loss_dice: 0.8067, decode.d5.loss_cls: 0.3403, decode.d5.loss_mask: 0.5395, decode.d5.loss_dice: 0.8046, decode.d6.loss_cls: 0.3298, decode.d6.loss_mask: 0.5383, decode.d6.loss_dice: 0.7982, decode.d7.loss_cls: 0.3262, decode.d7.loss_mask: 0.5379, decode.d7.loss_dice: 0.8039, decode.d8.loss_cls: 0.3292, decode.d8.loss_mask: 0.5354, decode.d8.loss_dice: 0.8040, loss: 18.1056, grad_norm: 49.8468 2023-11-12 05:54:54,254 - mmseg - INFO - Iter [50700/160000] lr: 6.831e-05, eta: 15:26:06, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3328, decode.loss_mask: 0.5501, decode.loss_dice: 0.8116, decode.d0.loss_cls: 1.3441, decode.d0.loss_mask: 0.5918, decode.d0.loss_dice: 0.8990, decode.d1.loss_cls: 0.4242, decode.d1.loss_mask: 0.5747, decode.d1.loss_dice: 0.8599, decode.d2.loss_cls: 0.3771, decode.d2.loss_mask: 0.5591, decode.d2.loss_dice: 0.8355, decode.d3.loss_cls: 0.3529, decode.d3.loss_mask: 0.5568, decode.d3.loss_dice: 0.8171, decode.d4.loss_cls: 0.3421, decode.d4.loss_mask: 0.5552, decode.d4.loss_dice: 0.8171, decode.d5.loss_cls: 0.3393, decode.d5.loss_mask: 0.5504, decode.d5.loss_dice: 0.8202, decode.d6.loss_cls: 0.3331, decode.d6.loss_mask: 0.5497, decode.d6.loss_dice: 0.8107, decode.d7.loss_cls: 0.3283, decode.d7.loss_mask: 0.5515, decode.d7.loss_dice: 0.8107, decode.d8.loss_cls: 0.3303, decode.d8.loss_mask: 0.5507, decode.d8.loss_dice: 0.8063, loss: 18.3824, grad_norm: 44.0032 2023-11-12 05:55:18,273 - mmseg - INFO - Iter [50750/160000] lr: 6.828e-05, eta: 15:25:38, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3443, decode.loss_mask: 0.5247, decode.loss_dice: 0.7961, decode.d0.loss_cls: 1.3691, decode.d0.loss_mask: 0.5623, decode.d0.loss_dice: 0.8725, decode.d1.loss_cls: 0.4365, decode.d1.loss_mask: 0.5467, decode.d1.loss_dice: 0.8429, decode.d2.loss_cls: 0.3832, decode.d2.loss_mask: 0.5348, decode.d2.loss_dice: 0.8192, decode.d3.loss_cls: 0.3611, decode.d3.loss_mask: 0.5265, decode.d3.loss_dice: 0.8094, decode.d4.loss_cls: 0.3539, decode.d4.loss_mask: 0.5249, decode.d4.loss_dice: 0.8028, decode.d5.loss_cls: 0.3495, decode.d5.loss_mask: 0.5257, decode.d5.loss_dice: 0.7966, decode.d6.loss_cls: 0.3432, decode.d6.loss_mask: 0.5247, decode.d6.loss_dice: 0.7938, decode.d7.loss_cls: 0.3398, decode.d7.loss_mask: 0.5234, decode.d7.loss_dice: 0.7944, decode.d8.loss_cls: 0.3374, decode.d8.loss_mask: 0.5266, decode.d8.loss_dice: 0.7970, loss: 18.0629, grad_norm: 47.4205 2023-11-12 05:55:42,299 - mmseg - INFO - Iter [50800/160000] lr: 6.825e-05, eta: 15:25:09, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3217, decode.loss_mask: 0.5390, decode.loss_dice: 0.8041, decode.d0.loss_cls: 1.3290, decode.d0.loss_mask: 0.5746, decode.d0.loss_dice: 0.8807, decode.d1.loss_cls: 0.3983, decode.d1.loss_mask: 0.5602, decode.d1.loss_dice: 0.8527, decode.d2.loss_cls: 0.3554, decode.d2.loss_mask: 0.5502, decode.d2.loss_dice: 0.8327, decode.d3.loss_cls: 0.3403, decode.d3.loss_mask: 0.5411, decode.d3.loss_dice: 0.8146, decode.d4.loss_cls: 0.3284, decode.d4.loss_mask: 0.5427, decode.d4.loss_dice: 0.8116, decode.d5.loss_cls: 0.3281, decode.d5.loss_mask: 0.5413, decode.d5.loss_dice: 0.8079, decode.d6.loss_cls: 0.3225, decode.d6.loss_mask: 0.5397, decode.d6.loss_dice: 0.8067, decode.d7.loss_cls: 0.3159, decode.d7.loss_mask: 0.5399, decode.d7.loss_dice: 0.8066, decode.d8.loss_cls: 0.3239, decode.d8.loss_mask: 0.5373, decode.d8.loss_dice: 0.8054, loss: 18.0526, grad_norm: 44.3592 2023-11-12 05:56:06,344 - mmseg - INFO - Iter [50850/160000] lr: 6.822e-05, eta: 15:24:41, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3330, decode.loss_mask: 0.5243, decode.loss_dice: 0.7851, decode.d0.loss_cls: 1.3626, decode.d0.loss_mask: 0.5636, decode.d0.loss_dice: 0.8637, decode.d1.loss_cls: 0.4218, decode.d1.loss_mask: 0.5431, decode.d1.loss_dice: 0.8335, decode.d2.loss_cls: 0.3770, decode.d2.loss_mask: 0.5290, decode.d2.loss_dice: 0.8121, decode.d3.loss_cls: 0.3550, decode.d3.loss_mask: 0.5253, decode.d3.loss_dice: 0.7969, decode.d4.loss_cls: 0.3449, decode.d4.loss_mask: 0.5260, decode.d4.loss_dice: 0.7929, decode.d5.loss_cls: 0.3437, decode.d5.loss_mask: 0.5237, decode.d5.loss_dice: 0.7984, decode.d6.loss_cls: 0.3395, decode.d6.loss_mask: 0.5247, decode.d6.loss_dice: 0.7877, decode.d7.loss_cls: 0.3336, decode.d7.loss_mask: 0.5263, decode.d7.loss_dice: 0.7907, decode.d8.loss_cls: 0.3326, decode.d8.loss_mask: 0.5250, decode.d8.loss_dice: 0.7918, loss: 17.9078, grad_norm: 43.1184 2023-11-12 05:56:30,448 - mmseg - INFO - Iter [50900/160000] lr: 6.819e-05, eta: 15:24:13, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3315, decode.loss_mask: 0.5319, decode.loss_dice: 0.8095, decode.d0.loss_cls: 1.3423, decode.d0.loss_mask: 0.5716, decode.d0.loss_dice: 0.8948, decode.d1.loss_cls: 0.4232, decode.d1.loss_mask: 0.5544, decode.d1.loss_dice: 0.8602, decode.d2.loss_cls: 0.3748, decode.d2.loss_mask: 0.5436, decode.d2.loss_dice: 0.8353, decode.d3.loss_cls: 0.3596, decode.d3.loss_mask: 0.5360, decode.d3.loss_dice: 0.8158, decode.d4.loss_cls: 0.3509, decode.d4.loss_mask: 0.5343, decode.d4.loss_dice: 0.8214, decode.d5.loss_cls: 0.3399, decode.d5.loss_mask: 0.5351, decode.d5.loss_dice: 0.8196, decode.d6.loss_cls: 0.3405, decode.d6.loss_mask: 0.5323, decode.d6.loss_dice: 0.8100, decode.d7.loss_cls: 0.3385, decode.d7.loss_mask: 0.5328, decode.d7.loss_dice: 0.8071, decode.d8.loss_cls: 0.3383, decode.d8.loss_mask: 0.5321, decode.d8.loss_dice: 0.8113, loss: 18.2289, grad_norm: 44.7773 2023-11-12 05:56:54,668 - mmseg - INFO - Iter [50950/160000] lr: 6.816e-05, eta: 15:23:45, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3441, decode.loss_mask: 0.5620, decode.loss_dice: 0.8216, decode.d0.loss_cls: 1.3706, decode.d0.loss_mask: 0.5955, decode.d0.loss_dice: 0.9009, decode.d1.loss_cls: 0.4447, decode.d1.loss_mask: 0.5834, decode.d1.loss_dice: 0.8687, decode.d2.loss_cls: 0.4006, decode.d2.loss_mask: 0.5740, decode.d2.loss_dice: 0.8431, decode.d3.loss_cls: 0.3717, decode.d3.loss_mask: 0.5701, decode.d3.loss_dice: 0.8282, decode.d4.loss_cls: 0.3659, decode.d4.loss_mask: 0.5687, decode.d4.loss_dice: 0.8316, decode.d5.loss_cls: 0.3563, decode.d5.loss_mask: 0.5666, decode.d5.loss_dice: 0.8264, decode.d6.loss_cls: 0.3614, decode.d6.loss_mask: 0.5655, decode.d6.loss_dice: 0.8168, decode.d7.loss_cls: 0.3542, decode.d7.loss_mask: 0.5636, decode.d7.loss_dice: 0.8192, decode.d8.loss_cls: 0.3570, decode.d8.loss_mask: 0.5607, decode.d8.loss_dice: 0.8213, loss: 18.8146, grad_norm: 49.2280 2023-11-12 05:57:19,004 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 05:57:19,004 - mmseg - INFO - Iter [51000/160000] lr: 6.813e-05, eta: 15:23:17, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3521, decode.loss_mask: 0.5683, decode.loss_dice: 0.8044, decode.d0.loss_cls: 1.3439, decode.d0.loss_mask: 0.6107, decode.d0.loss_dice: 0.9025, decode.d1.loss_cls: 0.4233, decode.d1.loss_mask: 0.5870, decode.d1.loss_dice: 0.8638, decode.d2.loss_cls: 0.3770, decode.d2.loss_mask: 0.5815, decode.d2.loss_dice: 0.8299, decode.d3.loss_cls: 0.3622, decode.d3.loss_mask: 0.5762, decode.d3.loss_dice: 0.8144, decode.d4.loss_cls: 0.3548, decode.d4.loss_mask: 0.5748, decode.d4.loss_dice: 0.8152, decode.d5.loss_cls: 0.3539, decode.d5.loss_mask: 0.5721, decode.d5.loss_dice: 0.8073, decode.d6.loss_cls: 0.3507, decode.d6.loss_mask: 0.5722, decode.d6.loss_dice: 0.8073, decode.d7.loss_cls: 0.3514, decode.d7.loss_mask: 0.5693, decode.d7.loss_dice: 0.8065, decode.d8.loss_cls: 0.3421, decode.d8.loss_mask: 0.5708, decode.d8.loss_dice: 0.8086, loss: 18.6542, grad_norm: 46.6659 2023-11-12 05:57:43,090 - mmseg - INFO - Iter [51050/160000] lr: 6.809e-05, eta: 15:22:49, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3407, decode.loss_mask: 0.5557, decode.loss_dice: 0.8112, decode.d0.loss_cls: 1.3335, decode.d0.loss_mask: 0.5923, decode.d0.loss_dice: 0.8934, decode.d1.loss_cls: 0.4237, decode.d1.loss_mask: 0.5708, decode.d1.loss_dice: 0.8609, decode.d2.loss_cls: 0.3753, decode.d2.loss_mask: 0.5659, decode.d2.loss_dice: 0.8376, decode.d3.loss_cls: 0.3657, decode.d3.loss_mask: 0.5576, decode.d3.loss_dice: 0.8204, decode.d4.loss_cls: 0.3491, decode.d4.loss_mask: 0.5558, decode.d4.loss_dice: 0.8191, decode.d5.loss_cls: 0.3453, decode.d5.loss_mask: 0.5549, decode.d5.loss_dice: 0.8211, decode.d6.loss_cls: 0.3502, decode.d6.loss_mask: 0.5537, decode.d6.loss_dice: 0.8101, decode.d7.loss_cls: 0.3421, decode.d7.loss_mask: 0.5581, decode.d7.loss_dice: 0.8168, decode.d8.loss_cls: 0.3394, decode.d8.loss_mask: 0.5586, decode.d8.loss_dice: 0.8168, loss: 18.4956, grad_norm: 47.6745 2023-11-12 05:58:06,967 - mmseg - INFO - Iter [51100/160000] lr: 6.806e-05, eta: 15:22:20, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3539, decode.loss_mask: 0.5596, decode.loss_dice: 0.8485, decode.d0.loss_cls: 1.3435, decode.d0.loss_mask: 0.5936, decode.d0.loss_dice: 0.9353, decode.d1.loss_cls: 0.4507, decode.d1.loss_mask: 0.5743, decode.d1.loss_dice: 0.9006, decode.d2.loss_cls: 0.3949, decode.d2.loss_mask: 0.5632, decode.d2.loss_dice: 0.8711, decode.d3.loss_cls: 0.3776, decode.d3.loss_mask: 0.5600, decode.d3.loss_dice: 0.8549, decode.d4.loss_cls: 0.3725, decode.d4.loss_mask: 0.5590, decode.d4.loss_dice: 0.8539, decode.d5.loss_cls: 0.3647, decode.d5.loss_mask: 0.5589, decode.d5.loss_dice: 0.8535, decode.d6.loss_cls: 0.3607, decode.d6.loss_mask: 0.5599, decode.d6.loss_dice: 0.8504, decode.d7.loss_cls: 0.3620, decode.d7.loss_mask: 0.5592, decode.d7.loss_dice: 0.8516, decode.d8.loss_cls: 0.3538, decode.d8.loss_mask: 0.5589, decode.d8.loss_dice: 0.8478, loss: 19.0485, grad_norm: 47.3892 2023-11-12 05:58:30,914 - mmseg - INFO - Iter [51150/160000] lr: 6.803e-05, eta: 15:21:51, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3475, decode.loss_mask: 0.5792, decode.loss_dice: 0.8379, decode.d0.loss_cls: 1.3892, decode.d0.loss_mask: 0.6126, decode.d0.loss_dice: 0.9085, decode.d1.loss_cls: 0.4354, decode.d1.loss_mask: 0.6013, decode.d1.loss_dice: 0.8839, decode.d2.loss_cls: 0.3971, decode.d2.loss_mask: 0.5900, decode.d2.loss_dice: 0.8521, decode.d3.loss_cls: 0.3761, decode.d3.loss_mask: 0.5771, decode.d3.loss_dice: 0.8357, decode.d4.loss_cls: 0.3672, decode.d4.loss_mask: 0.5798, decode.d4.loss_dice: 0.8305, decode.d5.loss_cls: 0.3671, decode.d5.loss_mask: 0.5806, decode.d5.loss_dice: 0.8293, decode.d6.loss_cls: 0.3551, decode.d6.loss_mask: 0.5787, decode.d6.loss_dice: 0.8300, decode.d7.loss_cls: 0.3513, decode.d7.loss_mask: 0.5760, decode.d7.loss_dice: 0.8332, decode.d8.loss_cls: 0.3540, decode.d8.loss_mask: 0.5803, decode.d8.loss_dice: 0.8346, loss: 19.0714, grad_norm: 50.7133 2023-11-12 05:58:54,861 - mmseg - INFO - Iter [51200/160000] lr: 6.800e-05, eta: 15:21:23, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3267, decode.loss_mask: 0.5657, decode.loss_dice: 0.7992, decode.d0.loss_cls: 1.3149, decode.d0.loss_mask: 0.5951, decode.d0.loss_dice: 0.8824, decode.d1.loss_cls: 0.4087, decode.d1.loss_mask: 0.5897, decode.d1.loss_dice: 0.8521, decode.d2.loss_cls: 0.3597, decode.d2.loss_mask: 0.5776, decode.d2.loss_dice: 0.8274, decode.d3.loss_cls: 0.3506, decode.d3.loss_mask: 0.5711, decode.d3.loss_dice: 0.8088, decode.d4.loss_cls: 0.3394, decode.d4.loss_mask: 0.5720, decode.d4.loss_dice: 0.8067, decode.d5.loss_cls: 0.3367, decode.d5.loss_mask: 0.5702, decode.d5.loss_dice: 0.7974, decode.d6.loss_cls: 0.3278, decode.d6.loss_mask: 0.5686, decode.d6.loss_dice: 0.8001, decode.d7.loss_cls: 0.3259, decode.d7.loss_mask: 0.5692, decode.d7.loss_dice: 0.8052, decode.d8.loss_cls: 0.3251, decode.d8.loss_mask: 0.5704, decode.d8.loss_dice: 0.8002, loss: 18.3449, grad_norm: 47.4803 2023-11-12 05:59:18,779 - mmseg - INFO - Iter [51250/160000] lr: 6.797e-05, eta: 15:20:54, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3507, decode.loss_mask: 0.5608, decode.loss_dice: 0.8192, decode.d0.loss_cls: 1.3567, decode.d0.loss_mask: 0.5968, decode.d0.loss_dice: 0.8967, decode.d1.loss_cls: 0.4366, decode.d1.loss_mask: 0.5797, decode.d1.loss_dice: 0.8694, decode.d2.loss_cls: 0.3910, decode.d2.loss_mask: 0.5705, decode.d2.loss_dice: 0.8407, decode.d3.loss_cls: 0.3736, decode.d3.loss_mask: 0.5607, decode.d3.loss_dice: 0.8235, decode.d4.loss_cls: 0.3612, decode.d4.loss_mask: 0.5608, decode.d4.loss_dice: 0.8237, decode.d5.loss_cls: 0.3566, decode.d5.loss_mask: 0.5592, decode.d5.loss_dice: 0.8187, decode.d6.loss_cls: 0.3555, decode.d6.loss_mask: 0.5595, decode.d6.loss_dice: 0.8183, decode.d7.loss_cls: 0.3457, decode.d7.loss_mask: 0.5589, decode.d7.loss_dice: 0.8194, decode.d8.loss_cls: 0.3475, decode.d8.loss_mask: 0.5603, decode.d8.loss_dice: 0.8203, loss: 18.6920, grad_norm: 49.4423 2023-11-12 05:59:42,581 - mmseg - INFO - Iter [51300/160000] lr: 6.794e-05, eta: 15:20:26, time: 0.476, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3479, decode.loss_mask: 0.5247, decode.loss_dice: 0.7913, decode.d0.loss_cls: 1.3374, decode.d0.loss_mask: 0.5551, decode.d0.loss_dice: 0.8721, decode.d1.loss_cls: 0.4234, decode.d1.loss_mask: 0.5413, decode.d1.loss_dice: 0.8438, decode.d2.loss_cls: 0.3830, decode.d2.loss_mask: 0.5302, decode.d2.loss_dice: 0.8171, decode.d3.loss_cls: 0.3637, decode.d3.loss_mask: 0.5245, decode.d3.loss_dice: 0.7967, decode.d4.loss_cls: 0.3624, decode.d4.loss_mask: 0.5213, decode.d4.loss_dice: 0.8006, decode.d5.loss_cls: 0.3609, decode.d5.loss_mask: 0.5225, decode.d5.loss_dice: 0.7944, decode.d6.loss_cls: 0.3543, decode.d6.loss_mask: 0.5211, decode.d6.loss_dice: 0.7902, decode.d7.loss_cls: 0.3470, decode.d7.loss_mask: 0.5231, decode.d7.loss_dice: 0.7949, decode.d8.loss_cls: 0.3507, decode.d8.loss_mask: 0.5235, decode.d8.loss_dice: 0.7894, loss: 18.0084, grad_norm: 47.3571 2023-11-12 06:00:06,679 - mmseg - INFO - Iter [51350/160000] lr: 6.791e-05, eta: 15:19:57, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3451, decode.loss_mask: 0.5672, decode.loss_dice: 0.8094, decode.d0.loss_cls: 1.3534, decode.d0.loss_mask: 0.6039, decode.d0.loss_dice: 0.8847, decode.d1.loss_cls: 0.4248, decode.d1.loss_mask: 0.5859, decode.d1.loss_dice: 0.8529, decode.d2.loss_cls: 0.3751, decode.d2.loss_mask: 0.5769, decode.d2.loss_dice: 0.8324, decode.d3.loss_cls: 0.3685, decode.d3.loss_mask: 0.5725, decode.d3.loss_dice: 0.8129, decode.d4.loss_cls: 0.3561, decode.d4.loss_mask: 0.5739, decode.d4.loss_dice: 0.8118, decode.d5.loss_cls: 0.3539, decode.d5.loss_mask: 0.5702, decode.d5.loss_dice: 0.8135, decode.d6.loss_cls: 0.3432, decode.d6.loss_mask: 0.5671, decode.d6.loss_dice: 0.8144, decode.d7.loss_cls: 0.3435, decode.d7.loss_mask: 0.5674, decode.d7.loss_dice: 0.8125, decode.d8.loss_cls: 0.3378, decode.d8.loss_mask: 0.5691, decode.d8.loss_dice: 0.8120, loss: 18.6123, grad_norm: 48.3819 2023-11-12 06:00:30,890 - mmseg - INFO - Iter [51400/160000] lr: 6.788e-05, eta: 15:19:30, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3094, decode.loss_mask: 0.5506, decode.loss_dice: 0.7994, decode.d0.loss_cls: 1.3165, decode.d0.loss_mask: 0.5827, decode.d0.loss_dice: 0.8787, decode.d1.loss_cls: 0.3873, decode.d1.loss_mask: 0.5690, decode.d1.loss_dice: 0.8488, decode.d2.loss_cls: 0.3462, decode.d2.loss_mask: 0.5579, decode.d2.loss_dice: 0.8220, decode.d3.loss_cls: 0.3263, decode.d3.loss_mask: 0.5505, decode.d3.loss_dice: 0.8078, decode.d4.loss_cls: 0.3138, decode.d4.loss_mask: 0.5516, decode.d4.loss_dice: 0.8125, decode.d5.loss_cls: 0.3133, decode.d5.loss_mask: 0.5511, decode.d5.loss_dice: 0.8026, decode.d6.loss_cls: 0.3164, decode.d6.loss_mask: 0.5525, decode.d6.loss_dice: 0.7979, decode.d7.loss_cls: 0.3104, decode.d7.loss_mask: 0.5551, decode.d7.loss_dice: 0.7986, decode.d8.loss_cls: 0.3117, decode.d8.loss_mask: 0.5522, decode.d8.loss_dice: 0.7974, loss: 17.9905, grad_norm: 47.1288 2023-11-12 06:00:55,231 - mmseg - INFO - Iter [51450/160000] lr: 6.784e-05, eta: 15:19:02, time: 0.487, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3401, decode.loss_mask: 0.5519, decode.loss_dice: 0.8182, decode.d0.loss_cls: 1.3416, decode.d0.loss_mask: 0.5835, decode.d0.loss_dice: 0.8988, decode.d1.loss_cls: 0.4120, decode.d1.loss_mask: 0.5695, decode.d1.loss_dice: 0.8710, decode.d2.loss_cls: 0.3738, decode.d2.loss_mask: 0.5588, decode.d2.loss_dice: 0.8442, decode.d3.loss_cls: 0.3592, decode.d3.loss_mask: 0.5556, decode.d3.loss_dice: 0.8268, decode.d4.loss_cls: 0.3530, decode.d4.loss_mask: 0.5531, decode.d4.loss_dice: 0.8244, decode.d5.loss_cls: 0.3490, decode.d5.loss_mask: 0.5501, decode.d5.loss_dice: 0.8234, decode.d6.loss_cls: 0.3402, decode.d6.loss_mask: 0.5506, decode.d6.loss_dice: 0.8225, decode.d7.loss_cls: 0.3393, decode.d7.loss_mask: 0.5504, decode.d7.loss_dice: 0.8203, decode.d8.loss_cls: 0.3384, decode.d8.loss_mask: 0.5518, decode.d8.loss_dice: 0.8228, loss: 18.4943, grad_norm: 49.1297 2023-11-12 06:01:19,198 - mmseg - INFO - Iter [51500/160000] lr: 6.781e-05, eta: 15:18:33, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3512, decode.loss_mask: 0.5512, decode.loss_dice: 0.8366, decode.d0.loss_cls: 1.3524, decode.d0.loss_mask: 0.5891, decode.d0.loss_dice: 0.9202, decode.d1.loss_cls: 0.4387, decode.d1.loss_mask: 0.5705, decode.d1.loss_dice: 0.8873, decode.d2.loss_cls: 0.3996, decode.d2.loss_mask: 0.5605, decode.d2.loss_dice: 0.8598, decode.d3.loss_cls: 0.3769, decode.d3.loss_mask: 0.5570, decode.d3.loss_dice: 0.8390, decode.d4.loss_cls: 0.3684, decode.d4.loss_mask: 0.5583, decode.d4.loss_dice: 0.8396, decode.d5.loss_cls: 0.3603, decode.d5.loss_mask: 0.5549, decode.d5.loss_dice: 0.8397, decode.d6.loss_cls: 0.3616, decode.d6.loss_mask: 0.5513, decode.d6.loss_dice: 0.8333, decode.d7.loss_cls: 0.3542, decode.d7.loss_mask: 0.5517, decode.d7.loss_dice: 0.8382, decode.d8.loss_cls: 0.3528, decode.d8.loss_mask: 0.5509, decode.d8.loss_dice: 0.8316, loss: 18.8368, grad_norm: 45.6148 2023-11-12 06:01:43,179 - mmseg - INFO - Iter [51550/160000] lr: 6.778e-05, eta: 15:18:05, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3463, decode.loss_mask: 0.5433, decode.loss_dice: 0.8158, decode.d0.loss_cls: 1.3382, decode.d0.loss_mask: 0.5781, decode.d0.loss_dice: 0.9015, decode.d1.loss_cls: 0.4209, decode.d1.loss_mask: 0.5633, decode.d1.loss_dice: 0.8645, decode.d2.loss_cls: 0.3724, decode.d2.loss_mask: 0.5527, decode.d2.loss_dice: 0.8380, decode.d3.loss_cls: 0.3655, decode.d3.loss_mask: 0.5462, decode.d3.loss_dice: 0.8163, decode.d4.loss_cls: 0.3544, decode.d4.loss_mask: 0.5464, decode.d4.loss_dice: 0.8213, decode.d5.loss_cls: 0.3547, decode.d5.loss_mask: 0.5455, decode.d5.loss_dice: 0.8258, decode.d6.loss_cls: 0.3517, decode.d6.loss_mask: 0.5432, decode.d6.loss_dice: 0.8182, decode.d7.loss_cls: 0.3483, decode.d7.loss_mask: 0.5419, decode.d7.loss_dice: 0.8130, decode.d8.loss_cls: 0.3441, decode.d8.loss_mask: 0.5440, decode.d8.loss_dice: 0.8169, loss: 18.4324, grad_norm: 47.1677 2023-11-12 06:02:07,198 - mmseg - INFO - Iter [51600/160000] lr: 6.775e-05, eta: 15:17:37, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3699, decode.loss_mask: 0.5523, decode.loss_dice: 0.8177, decode.d0.loss_cls: 1.3503, decode.d0.loss_mask: 0.5856, decode.d0.loss_dice: 0.9111, decode.d1.loss_cls: 0.4585, decode.d1.loss_mask: 0.5695, decode.d1.loss_dice: 0.8753, decode.d2.loss_cls: 0.4143, decode.d2.loss_mask: 0.5581, decode.d2.loss_dice: 0.8447, decode.d3.loss_cls: 0.3907, decode.d3.loss_mask: 0.5554, decode.d3.loss_dice: 0.8250, decode.d4.loss_cls: 0.3855, decode.d4.loss_mask: 0.5539, decode.d4.loss_dice: 0.8289, decode.d5.loss_cls: 0.3779, decode.d5.loss_mask: 0.5513, decode.d5.loss_dice: 0.8291, decode.d6.loss_cls: 0.3748, decode.d6.loss_mask: 0.5510, decode.d6.loss_dice: 0.8210, decode.d7.loss_cls: 0.3744, decode.d7.loss_mask: 0.5525, decode.d7.loss_dice: 0.8208, decode.d8.loss_cls: 0.3657, decode.d8.loss_mask: 0.5525, decode.d8.loss_dice: 0.8238, loss: 18.8416, grad_norm: 45.9223 2023-11-12 06:02:31,158 - mmseg - INFO - Iter [51650/160000] lr: 6.772e-05, eta: 15:17:08, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3570, decode.loss_mask: 0.5592, decode.loss_dice: 0.8130, decode.d0.loss_cls: 1.3439, decode.d0.loss_mask: 0.5961, decode.d0.loss_dice: 0.9051, decode.d1.loss_cls: 0.4330, decode.d1.loss_mask: 0.5835, decode.d1.loss_dice: 0.8656, decode.d2.loss_cls: 0.3912, decode.d2.loss_mask: 0.5695, decode.d2.loss_dice: 0.8474, decode.d3.loss_cls: 0.3725, decode.d3.loss_mask: 0.5653, decode.d3.loss_dice: 0.8229, decode.d4.loss_cls: 0.3614, decode.d4.loss_mask: 0.5633, decode.d4.loss_dice: 0.8208, decode.d5.loss_cls: 0.3617, decode.d5.loss_mask: 0.5570, decode.d5.loss_dice: 0.8149, decode.d6.loss_cls: 0.3581, decode.d6.loss_mask: 0.5571, decode.d6.loss_dice: 0.8090, decode.d7.loss_cls: 0.3514, decode.d7.loss_mask: 0.5611, decode.d7.loss_dice: 0.8155, decode.d8.loss_cls: 0.3512, decode.d8.loss_mask: 0.5582, decode.d8.loss_dice: 0.8164, loss: 18.6822, grad_norm: 48.9438 2023-11-12 06:02:55,056 - mmseg - INFO - Iter [51700/160000] lr: 6.769e-05, eta: 15:16:40, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3618, decode.loss_mask: 0.5367, decode.loss_dice: 0.8047, decode.d0.loss_cls: 1.3656, decode.d0.loss_mask: 0.5724, decode.d0.loss_dice: 0.8949, decode.d1.loss_cls: 0.4513, decode.d1.loss_mask: 0.5601, decode.d1.loss_dice: 0.8554, decode.d2.loss_cls: 0.3996, decode.d2.loss_mask: 0.5463, decode.d2.loss_dice: 0.8327, decode.d3.loss_cls: 0.3910, decode.d3.loss_mask: 0.5387, decode.d3.loss_dice: 0.8129, decode.d4.loss_cls: 0.3715, decode.d4.loss_mask: 0.5360, decode.d4.loss_dice: 0.8153, decode.d5.loss_cls: 0.3665, decode.d5.loss_mask: 0.5379, decode.d5.loss_dice: 0.8123, decode.d6.loss_cls: 0.3661, decode.d6.loss_mask: 0.5357, decode.d6.loss_dice: 0.8062, decode.d7.loss_cls: 0.3669, decode.d7.loss_mask: 0.5381, decode.d7.loss_dice: 0.8043, decode.d8.loss_cls: 0.3651, decode.d8.loss_mask: 0.5372, decode.d8.loss_dice: 0.8083, loss: 18.4916, grad_norm: 47.0798 2023-11-12 06:03:18,858 - mmseg - INFO - Iter [51750/160000] lr: 6.766e-05, eta: 15:16:11, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3485, decode.loss_mask: 0.5806, decode.loss_dice: 0.8372, decode.d0.loss_cls: 1.3346, decode.d0.loss_mask: 0.6109, decode.d0.loss_dice: 0.9225, decode.d1.loss_cls: 0.4265, decode.d1.loss_mask: 0.5969, decode.d1.loss_dice: 0.8872, decode.d2.loss_cls: 0.3870, decode.d2.loss_mask: 0.5900, decode.d2.loss_dice: 0.8570, decode.d3.loss_cls: 0.3652, decode.d3.loss_mask: 0.5822, decode.d3.loss_dice: 0.8443, decode.d4.loss_cls: 0.3583, decode.d4.loss_mask: 0.5831, decode.d4.loss_dice: 0.8412, decode.d5.loss_cls: 0.3517, decode.d5.loss_mask: 0.5850, decode.d5.loss_dice: 0.8453, decode.d6.loss_cls: 0.3466, decode.d6.loss_mask: 0.5813, decode.d6.loss_dice: 0.8398, decode.d7.loss_cls: 0.3477, decode.d7.loss_mask: 0.5800, decode.d7.loss_dice: 0.8401, decode.d8.loss_cls: 0.3467, decode.d8.loss_mask: 0.5792, decode.d8.loss_dice: 0.8373, loss: 19.0337, grad_norm: 49.3566 2023-11-12 06:03:45,467 - mmseg - INFO - Iter [51800/160000] lr: 6.763e-05, eta: 15:15:48, time: 0.530, data_time: 0.058, memory: 41146, decode.loss_cls: 0.3259, decode.loss_mask: 0.5509, decode.loss_dice: 0.7898, decode.d0.loss_cls: 1.3215, decode.d0.loss_mask: 0.5849, decode.d0.loss_dice: 0.8660, decode.d1.loss_cls: 0.4116, decode.d1.loss_mask: 0.5692, decode.d1.loss_dice: 0.8350, decode.d2.loss_cls: 0.3614, decode.d2.loss_mask: 0.5615, decode.d2.loss_dice: 0.8101, decode.d3.loss_cls: 0.3493, decode.d3.loss_mask: 0.5574, decode.d3.loss_dice: 0.7960, decode.d4.loss_cls: 0.3368, decode.d4.loss_mask: 0.5541, decode.d4.loss_dice: 0.7965, decode.d5.loss_cls: 0.3309, decode.d5.loss_mask: 0.5542, decode.d5.loss_dice: 0.7966, decode.d6.loss_cls: 0.3284, decode.d6.loss_mask: 0.5520, decode.d6.loss_dice: 0.7922, decode.d7.loss_cls: 0.3242, decode.d7.loss_mask: 0.5530, decode.d7.loss_dice: 0.7954, decode.d8.loss_cls: 0.3254, decode.d8.loss_mask: 0.5508, decode.d8.loss_dice: 0.7925, loss: 18.0734, grad_norm: 46.3357 2023-11-12 06:04:09,578 - mmseg - INFO - Iter [51850/160000] lr: 6.759e-05, eta: 15:15:20, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3237, decode.loss_mask: 0.5427, decode.loss_dice: 0.7949, decode.d0.loss_cls: 1.3293, decode.d0.loss_mask: 0.5764, decode.d0.loss_dice: 0.8727, decode.d1.loss_cls: 0.4125, decode.d1.loss_mask: 0.5617, decode.d1.loss_dice: 0.8370, decode.d2.loss_cls: 0.3577, decode.d2.loss_mask: 0.5502, decode.d2.loss_dice: 0.8217, decode.d3.loss_cls: 0.3433, decode.d3.loss_mask: 0.5464, decode.d3.loss_dice: 0.8037, decode.d4.loss_cls: 0.3350, decode.d4.loss_mask: 0.5474, decode.d4.loss_dice: 0.8015, decode.d5.loss_cls: 0.3302, decode.d5.loss_mask: 0.5430, decode.d5.loss_dice: 0.7975, decode.d6.loss_cls: 0.3325, decode.d6.loss_mask: 0.5406, decode.d6.loss_dice: 0.7960, decode.d7.loss_cls: 0.3246, decode.d7.loss_mask: 0.5445, decode.d7.loss_dice: 0.7987, decode.d8.loss_cls: 0.3196, decode.d8.loss_mask: 0.5434, decode.d8.loss_dice: 0.7965, loss: 18.0248, grad_norm: 50.7262 2023-11-12 06:04:33,632 - mmseg - INFO - Iter [51900/160000] lr: 6.756e-05, eta: 15:14:52, time: 0.481, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3519, decode.loss_mask: 0.5281, decode.loss_dice: 0.8088, decode.d0.loss_cls: 1.3629, decode.d0.loss_mask: 0.5620, decode.d0.loss_dice: 0.8927, decode.d1.loss_cls: 0.4468, decode.d1.loss_mask: 0.5437, decode.d1.loss_dice: 0.8501, decode.d2.loss_cls: 0.3849, decode.d2.loss_mask: 0.5375, decode.d2.loss_dice: 0.8384, decode.d3.loss_cls: 0.3757, decode.d3.loss_mask: 0.5301, decode.d3.loss_dice: 0.8217, decode.d4.loss_cls: 0.3634, decode.d4.loss_mask: 0.5324, decode.d4.loss_dice: 0.8182, decode.d5.loss_cls: 0.3561, decode.d5.loss_mask: 0.5313, decode.d5.loss_dice: 0.8208, decode.d6.loss_cls: 0.3602, decode.d6.loss_mask: 0.5293, decode.d6.loss_dice: 0.8083, decode.d7.loss_cls: 0.3506, decode.d7.loss_mask: 0.5308, decode.d7.loss_dice: 0.8160, decode.d8.loss_cls: 0.3510, decode.d8.loss_mask: 0.5289, decode.d8.loss_dice: 0.8107, loss: 18.3433, grad_norm: 44.1442 2023-11-12 06:04:57,507 - mmseg - INFO - Iter [51950/160000] lr: 6.753e-05, eta: 15:14:24, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3224, decode.loss_mask: 0.5361, decode.loss_dice: 0.8037, decode.d0.loss_cls: 1.3250, decode.d0.loss_mask: 0.5731, decode.d0.loss_dice: 0.8858, decode.d1.loss_cls: 0.4149, decode.d1.loss_mask: 0.5522, decode.d1.loss_dice: 0.8516, decode.d2.loss_cls: 0.3591, decode.d2.loss_mask: 0.5446, decode.d2.loss_dice: 0.8301, decode.d3.loss_cls: 0.3477, decode.d3.loss_mask: 0.5399, decode.d3.loss_dice: 0.8062, decode.d4.loss_cls: 0.3291, decode.d4.loss_mask: 0.5381, decode.d4.loss_dice: 0.8086, decode.d5.loss_cls: 0.3290, decode.d5.loss_mask: 0.5385, decode.d5.loss_dice: 0.8075, decode.d6.loss_cls: 0.3277, decode.d6.loss_mask: 0.5382, decode.d6.loss_dice: 0.8049, decode.d7.loss_cls: 0.3240, decode.d7.loss_mask: 0.5377, decode.d7.loss_dice: 0.8002, decode.d8.loss_cls: 0.3239, decode.d8.loss_mask: 0.5363, decode.d8.loss_dice: 0.8038, loss: 18.0399, grad_norm: 47.7465 2023-11-12 06:05:21,476 - mmseg - INFO - Saving checkpoint at 52000 iterations 2023-11-12 06:05:25,366 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 06:05:25,366 - mmseg - INFO - Iter [52000/160000] lr: 6.750e-05, eta: 15:14:03, time: 0.557, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3285, decode.loss_mask: 0.5633, decode.loss_dice: 0.8243, decode.d0.loss_cls: 1.3337, decode.d0.loss_mask: 0.6019, decode.d0.loss_dice: 0.9063, decode.d1.loss_cls: 0.4071, decode.d1.loss_mask: 0.5827, decode.d1.loss_dice: 0.8816, decode.d2.loss_cls: 0.3675, decode.d2.loss_mask: 0.5718, decode.d2.loss_dice: 0.8507, decode.d3.loss_cls: 0.3457, decode.d3.loss_mask: 0.5641, decode.d3.loss_dice: 0.8289, decode.d4.loss_cls: 0.3388, decode.d4.loss_mask: 0.5655, decode.d4.loss_dice: 0.8284, decode.d5.loss_cls: 0.3344, decode.d5.loss_mask: 0.5642, decode.d5.loss_dice: 0.8315, decode.d6.loss_cls: 0.3312, decode.d6.loss_mask: 0.5623, decode.d6.loss_dice: 0.8188, decode.d7.loss_cls: 0.3316, decode.d7.loss_mask: 0.5603, decode.d7.loss_dice: 0.8249, decode.d8.loss_cls: 0.3328, decode.d8.loss_mask: 0.5612, decode.d8.loss_dice: 0.8247, loss: 18.5687, grad_norm: 49.9640 2023-11-12 06:05:44,532 - mmseg - INFO - per class results: 2023-11-12 06:05:44,541 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.46 | 87.09 | | building | 80.93 | 90.87 | | sky | 94.79 | 97.19 | | floor | 84.35 | 89.39 | | tree | 75.06 | 86.42 | | ceiling | 83.7 | 90.52 | | road | 84.63 | 89.0 | | bed | 90.43 | 95.61 | | windowpane | 64.77 | 79.09 | | grass | 70.4 | 81.84 | | cabinet | 62.32 | 75.84 | | sidewalk | 66.83 | 84.53 | | person | 85.45 | 92.54 | | earth | 37.72 | 56.16 | | door | 52.53 | 71.83 | | table | 65.35 | 79.8 | | mountain | 61.94 | 74.78 | | plant | 52.79 | 67.23 | | curtain | 78.73 | 88.87 | | chair | 60.07 | 73.23 | | car | 86.36 | 92.07 | | water | 56.12 | 69.02 | | painting | 72.9 | 85.35 | | sofa | 68.72 | 81.19 | | shelf | 39.88 | 52.19 | | house | 36.35 | 55.18 | | sea | 59.63 | 89.61 | | mirror | 72.04 | 83.0 | | rug | 70.73 | 84.15 | | field | 31.37 | 51.59 | | armchair | 47.5 | 74.94 | | seat | 63.31 | 79.08 | | fence | 46.91 | 68.5 | | desk | 46.23 | 68.01 | | rock | 48.81 | 72.64 | | wardrobe | 46.05 | 70.55 | | lamp | 69.34 | 80.5 | | bathtub | 83.03 | 90.96 | | railing | 30.73 | 49.76 | | cushion | 65.69 | 78.18 | | base | 30.0 | 61.53 | | box | 28.82 | 42.91 | | column | 39.52 | 46.7 | | signboard | 36.77 | 58.81 | | chest of drawers | 47.99 | 70.03 | | counter | 30.83 | 46.73 | | sand | 39.51 | 61.45 | | sink | 72.38 | 81.68 | | skyscraper | 36.69 | 48.09 | | fireplace | 78.42 | 96.52 | | refrigerator | 82.27 | 89.76 | | grandstand | 44.35 | 63.94 | | path | 21.42 | 31.58 | | stairs | 31.93 | 40.4 | | runway | 80.1 | 92.63 | | case | 48.48 | 57.94 | | pool table | 94.8 | 97.5 | | pillow | 64.97 | 75.66 | | screen door | 74.66 | 88.88 | | stairway | 30.34 | 43.11 | | river | 21.64 | 29.09 | | bridge | 72.86 | 88.33 | | bookcase | 29.05 | 45.65 | | blind | 48.72 | 55.04 | | coffee table | 63.51 | 85.94 | | toilet | 87.96 | 92.46 | | flower | 42.68 | 59.19 | | book | 51.5 | 76.31 | | hill | 6.32 | 13.01 | | bench | 47.36 | 59.8 | | countertop | 58.93 | 71.5 | | stove | 86.31 | 91.93 | | palm | 52.98 | 74.3 | | kitchen island | 55.63 | 91.31 | | computer | 71.49 | 77.39 | | swivel chair | 44.08 | 72.48 | | boat | 62.72 | 80.72 | | bar | 35.39 | 38.03 | | arcade machine | 64.89 | 69.72 | | hovel | 34.35 | 48.68 | | bus | 93.8 | 96.93 | | towel | 70.06 | 84.28 | | light | 60.49 | 80.62 | | truck | 38.28 | 60.29 | | tower | 19.56 | 33.97 | | chandelier | 71.29 | 88.99 | | awning | 34.52 | 52.73 | | streetlight | 40.54 | 59.35 | | booth | 33.73 | 40.17 | | television receiver | 72.9 | 82.88 | | airplane | 60.41 | 67.07 | | dirt track | 2.36 | 11.01 | | apparel | 31.3 | 63.21 | | pole | 30.9 | 51.55 | | land | 0.41 | 0.46 | | bannister | 18.77 | 29.8 | | escalator | 20.08 | 22.08 | | ottoman | 58.63 | 77.54 | | bottle | 34.99 | 46.87 | | buffet | 40.86 | 54.87 | | poster | 17.0 | 34.13 | | stage | 22.82 | 36.99 | | van | 48.65 | 76.31 | | ship | 9.63 | 10.76 | | fountain | 18.27 | 19.75 | | conveyer belt | 48.0 | 64.56 | | canopy | 26.0 | 41.91 | | washer | 71.8 | 74.67 | | plaything | 43.56 | 68.7 | | swimming pool | 38.09 | 38.68 | | stool | 51.69 | 76.18 | | barrel | 69.89 | 98.63 | | basket | 46.12 | 64.98 | | waterfall | 53.85 | 87.6 | | tent | 72.19 | 98.38 | | bag | 20.18 | 34.11 | | minibike | 74.92 | 92.23 | | cradle | 86.43 | 97.63 | | oven | 28.12 | 77.47 | | ball | 12.15 | 13.69 | | food | 63.42 | 82.17 | | step | 15.58 | 26.54 | | tank | 53.06 | 64.98 | | trade name | 31.55 | 43.04 | | microwave | 42.4 | 45.75 | | pot | 49.77 | 58.44 | | animal | 66.96 | 69.02 | | bicycle | 57.99 | 82.19 | | lake | 44.84 | 62.07 | | dishwasher | 78.15 | 84.71 | | screen | 60.64 | 91.22 | | blanket | 29.59 | 37.34 | | sculpture | 61.8 | 88.44 | | hood | 74.72 | 88.81 | | sconce | 48.87 | 72.76 | | vase | 49.54 | 75.48 | | traffic light | 37.92 | 69.53 | | tray | 17.44 | 43.51 | | ashcan | 47.63 | 70.16 | | fan | 68.14 | 85.63 | | pier | 22.05 | 43.7 | | crt screen | 3.09 | 8.44 | | plate | 60.13 | 80.51 | | monitor | 9.44 | 11.99 | | bulletin board | 44.75 | 62.78 | | shower | 13.71 | 23.44 | | radiator | 76.14 | 86.11 | | glass | 20.68 | 25.58 | | clock | 42.99 | 66.52 | | flag | 45.77 | 52.47 | +---------------------+-------+-------+ 2023-11-12 06:05:44,541 - mmseg - INFO - Summary: 2023-11-12 06:05:44,542 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.53 | 51.05 | 65.74 | +-------+-------+-------+ 2023-11-12 06:05:44,543 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 06:05:44,543 - mmseg - INFO - Iter(val) [250] aAcc: 0.8353, mIoU: 0.5105, mAcc: 0.6574, IoU.wall: 0.7846, IoU.building: 0.8093, IoU.sky: 0.9479, IoU.floor: 0.8435, IoU.tree: 0.7506, IoU.ceiling: 0.8370, IoU.road: 0.8463, IoU.bed : 0.9043, IoU.windowpane: 0.6477, IoU.grass: 0.7040, IoU.cabinet: 0.6232, IoU.sidewalk: 0.6683, IoU.person: 0.8545, IoU.earth: 0.3772, IoU.door: 0.5253, IoU.table: 0.6535, IoU.mountain: 0.6194, IoU.plant: 0.5279, IoU.curtain: 0.7873, IoU.chair: 0.6007, IoU.car: 0.8636, IoU.water: 0.5612, IoU.painting: 0.7290, IoU.sofa: 0.6872, IoU.shelf: 0.3988, IoU.house: 0.3635, IoU.sea: 0.5963, IoU.mirror: 0.7204, IoU.rug: 0.7073, IoU.field: 0.3137, IoU.armchair: 0.4750, IoU.seat: 0.6331, IoU.fence: 0.4691, IoU.desk: 0.4623, IoU.rock: 0.4881, IoU.wardrobe: 0.4605, IoU.lamp: 0.6934, IoU.bathtub: 0.8303, IoU.railing: 0.3073, IoU.cushion: 0.6569, IoU.base: 0.3000, IoU.box: 0.2882, IoU.column: 0.3952, IoU.signboard: 0.3677, IoU.chest of drawers: 0.4799, IoU.counter: 0.3083, IoU.sand: 0.3951, IoU.sink: 0.7238, IoU.skyscraper: 0.3669, IoU.fireplace: 0.7842, IoU.refrigerator: 0.8227, IoU.grandstand: 0.4435, IoU.path: 0.2142, IoU.stairs: 0.3193, IoU.runway: 0.8010, IoU.case: 0.4848, IoU.pool table: 0.9480, IoU.pillow: 0.6497, IoU.screen door: 0.7466, IoU.stairway: 0.3034, IoU.river: 0.2164, IoU.bridge: 0.7286, IoU.bookcase: 0.2905, IoU.blind: 0.4872, IoU.coffee table: 0.6351, IoU.toilet: 0.8796, IoU.flower: 0.4268, IoU.book: 0.5150, IoU.hill: 0.0632, IoU.bench: 0.4736, IoU.countertop: 0.5893, IoU.stove: 0.8631, IoU.palm: 0.5298, IoU.kitchen island: 0.5563, IoU.computer: 0.7149, IoU.swivel chair: 0.4408, IoU.boat: 0.6272, IoU.bar: 0.3539, IoU.arcade machine: 0.6489, IoU.hovel: 0.3435, IoU.bus: 0.9380, IoU.towel: 0.7006, IoU.light: 0.6049, IoU.truck: 0.3828, IoU.tower: 0.1956, IoU.chandelier: 0.7129, IoU.awning: 0.3452, IoU.streetlight: 0.4054, IoU.booth: 0.3373, IoU.television receiver: 0.7290, IoU.airplane: 0.6041, IoU.dirt track: 0.0236, IoU.apparel: 0.3130, IoU.pole: 0.3090, IoU.land: 0.0041, IoU.bannister: 0.1877, IoU.escalator: 0.2008, IoU.ottoman: 0.5863, IoU.bottle: 0.3499, IoU.buffet: 0.4086, IoU.poster: 0.1700, IoU.stage: 0.2282, IoU.van: 0.4865, IoU.ship: 0.0963, IoU.fountain: 0.1827, IoU.conveyer belt: 0.4800, IoU.canopy: 0.2600, IoU.washer: 0.7180, IoU.plaything: 0.4356, IoU.swimming pool: 0.3809, IoU.stool: 0.5169, IoU.barrel: 0.6989, IoU.basket: 0.4612, IoU.waterfall: 0.5385, IoU.tent: 0.7219, IoU.bag: 0.2018, IoU.minibike: 0.7492, IoU.cradle: 0.8643, IoU.oven: 0.2812, IoU.ball: 0.1215, IoU.food: 0.6342, IoU.step: 0.1558, IoU.tank: 0.5306, IoU.trade name: 0.3155, IoU.microwave: 0.4240, IoU.pot: 0.4977, IoU.animal: 0.6696, IoU.bicycle: 0.5799, IoU.lake: 0.4484, IoU.dishwasher: 0.7815, IoU.screen: 0.6064, IoU.blanket: 0.2959, IoU.sculpture: 0.6180, IoU.hood: 0.7472, IoU.sconce: 0.4887, IoU.vase: 0.4954, IoU.traffic light: 0.3792, IoU.tray: 0.1744, IoU.ashcan: 0.4763, IoU.fan: 0.6814, IoU.pier: 0.2205, IoU.crt screen: 0.0309, IoU.plate: 0.6013, IoU.monitor: 0.0944, IoU.bulletin board: 0.4475, IoU.shower: 0.1371, IoU.radiator: 0.7614, IoU.glass: 0.2068, IoU.clock: 0.4299, IoU.flag: 0.4577, Acc.wall: 0.8709, Acc.building: 0.9087, Acc.sky: 0.9719, Acc.floor: 0.8939, Acc.tree: 0.8642, Acc.ceiling: 0.9052, Acc.road: 0.8900, Acc.bed : 0.9561, Acc.windowpane: 0.7909, Acc.grass: 0.8184, Acc.cabinet: 0.7584, Acc.sidewalk: 0.8453, Acc.person: 0.9254, Acc.earth: 0.5616, Acc.door: 0.7183, Acc.table: 0.7980, Acc.mountain: 0.7478, Acc.plant: 0.6723, Acc.curtain: 0.8887, Acc.chair: 0.7323, Acc.car: 0.9207, Acc.water: 0.6902, Acc.painting: 0.8535, Acc.sofa: 0.8119, Acc.shelf: 0.5219, Acc.house: 0.5518, Acc.sea: 0.8961, Acc.mirror: 0.8300, Acc.rug: 0.8415, Acc.field: 0.5159, Acc.armchair: 0.7494, Acc.seat: 0.7908, Acc.fence: 0.6850, Acc.desk: 0.6801, Acc.rock: 0.7264, Acc.wardrobe: 0.7055, Acc.lamp: 0.8050, Acc.bathtub: 0.9096, Acc.railing: 0.4976, Acc.cushion: 0.7818, Acc.base: 0.6153, Acc.box: 0.4291, Acc.column: 0.4670, Acc.signboard: 0.5881, Acc.chest of drawers: 0.7003, Acc.counter: 0.4673, Acc.sand: 0.6145, Acc.sink: 0.8168, Acc.skyscraper: 0.4809, Acc.fireplace: 0.9652, Acc.refrigerator: 0.8976, Acc.grandstand: 0.6394, Acc.path: 0.3158, Acc.stairs: 0.4040, Acc.runway: 0.9263, Acc.case: 0.5794, Acc.pool table: 0.9750, Acc.pillow: 0.7566, Acc.screen door: 0.8888, Acc.stairway: 0.4311, Acc.river: 0.2909, Acc.bridge: 0.8833, Acc.bookcase: 0.4565, Acc.blind: 0.5504, Acc.coffee table: 0.8594, Acc.toilet: 0.9246, Acc.flower: 0.5919, Acc.book: 0.7631, Acc.hill: 0.1301, Acc.bench: 0.5980, Acc.countertop: 0.7150, Acc.stove: 0.9193, Acc.palm: 0.7430, Acc.kitchen island: 0.9131, Acc.computer: 0.7739, Acc.swivel chair: 0.7248, Acc.boat: 0.8072, Acc.bar: 0.3803, Acc.arcade machine: 0.6972, Acc.hovel: 0.4868, Acc.bus: 0.9693, Acc.towel: 0.8428, Acc.light: 0.8062, Acc.truck: 0.6029, Acc.tower: 0.3397, Acc.chandelier: 0.8899, Acc.awning: 0.5273, Acc.streetlight: 0.5935, Acc.booth: 0.4017, Acc.television receiver: 0.8288, Acc.airplane: 0.6707, Acc.dirt track: 0.1101, Acc.apparel: 0.6321, Acc.pole: 0.5155, Acc.land: 0.0046, Acc.bannister: 0.2980, Acc.escalator: 0.2208, Acc.ottoman: 0.7754, Acc.bottle: 0.4687, Acc.buffet: 0.5487, Acc.poster: 0.3413, Acc.stage: 0.3699, Acc.van: 0.7631, Acc.ship: 0.1076, Acc.fountain: 0.1975, Acc.conveyer belt: 0.6456, Acc.canopy: 0.4191, Acc.washer: 0.7467, Acc.plaything: 0.6870, Acc.swimming pool: 0.3868, Acc.stool: 0.7618, Acc.barrel: 0.9863, Acc.basket: 0.6498, Acc.waterfall: 0.8760, Acc.tent: 0.9838, Acc.bag: 0.3411, Acc.minibike: 0.9223, Acc.cradle: 0.9763, Acc.oven: 0.7747, Acc.ball: 0.1369, Acc.food: 0.8217, Acc.step: 0.2654, Acc.tank: 0.6498, Acc.trade name: 0.4304, Acc.microwave: 0.4575, Acc.pot: 0.5844, Acc.animal: 0.6902, Acc.bicycle: 0.8219, Acc.lake: 0.6207, Acc.dishwasher: 0.8471, Acc.screen: 0.9122, Acc.blanket: 0.3734, Acc.sculpture: 0.8844, Acc.hood: 0.8881, Acc.sconce: 0.7276, Acc.vase: 0.7548, Acc.traffic light: 0.6953, Acc.tray: 0.4351, Acc.ashcan: 0.7016, Acc.fan: 0.8563, Acc.pier: 0.4370, Acc.crt screen: 0.0844, Acc.plate: 0.8051, Acc.monitor: 0.1199, Acc.bulletin board: 0.6278, Acc.shower: 0.2344, Acc.radiator: 0.8611, Acc.glass: 0.2558, Acc.clock: 0.6652, Acc.flag: 0.5247 2023-11-12 06:06:08,547 - mmseg - INFO - Iter [52050/160000] lr: 6.747e-05, eta: 15:14:15, time: 0.863, data_time: 0.398, memory: 41146, decode.loss_cls: 0.3390, decode.loss_mask: 0.5155, decode.loss_dice: 0.7806, decode.d0.loss_cls: 1.3451, decode.d0.loss_mask: 0.5523, decode.d0.loss_dice: 0.8701, decode.d1.loss_cls: 0.4073, decode.d1.loss_mask: 0.5355, decode.d1.loss_dice: 0.8385, decode.d2.loss_cls: 0.3692, decode.d2.loss_mask: 0.5252, decode.d2.loss_dice: 0.8120, decode.d3.loss_cls: 0.3530, decode.d3.loss_mask: 0.5184, decode.d3.loss_dice: 0.7881, decode.d4.loss_cls: 0.3427, decode.d4.loss_mask: 0.5178, decode.d4.loss_dice: 0.7924, decode.d5.loss_cls: 0.3385, decode.d5.loss_mask: 0.5197, decode.d5.loss_dice: 0.7884, decode.d6.loss_cls: 0.3382, decode.d6.loss_mask: 0.5195, decode.d6.loss_dice: 0.7833, decode.d7.loss_cls: 0.3366, decode.d7.loss_mask: 0.5188, decode.d7.loss_dice: 0.7841, decode.d8.loss_cls: 0.3402, decode.d8.loss_mask: 0.5178, decode.d8.loss_dice: 0.7853, loss: 17.7731, grad_norm: 46.1756 2023-11-12 06:06:32,414 - mmseg - INFO - Iter [52100/160000] lr: 6.744e-05, eta: 15:13:46, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3292, decode.loss_mask: 0.5519, decode.loss_dice: 0.7989, decode.d0.loss_cls: 1.3187, decode.d0.loss_mask: 0.5899, decode.d0.loss_dice: 0.8832, decode.d1.loss_cls: 0.4202, decode.d1.loss_mask: 0.5722, decode.d1.loss_dice: 0.8461, decode.d2.loss_cls: 0.3701, decode.d2.loss_mask: 0.5594, decode.d2.loss_dice: 0.8260, decode.d3.loss_cls: 0.3513, decode.d3.loss_mask: 0.5527, decode.d3.loss_dice: 0.8054, decode.d4.loss_cls: 0.3405, decode.d4.loss_mask: 0.5531, decode.d4.loss_dice: 0.8056, decode.d5.loss_cls: 0.3364, decode.d5.loss_mask: 0.5503, decode.d5.loss_dice: 0.8033, decode.d6.loss_cls: 0.3329, decode.d6.loss_mask: 0.5520, decode.d6.loss_dice: 0.7975, decode.d7.loss_cls: 0.3320, decode.d7.loss_mask: 0.5515, decode.d7.loss_dice: 0.7991, decode.d8.loss_cls: 0.3289, decode.d8.loss_mask: 0.5519, decode.d8.loss_dice: 0.8026, loss: 18.2127, grad_norm: 46.2524 2023-11-12 06:06:56,416 - mmseg - INFO - Iter [52150/160000] lr: 6.741e-05, eta: 15:13:18, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3359, decode.loss_mask: 0.5437, decode.loss_dice: 0.8150, decode.d0.loss_cls: 1.3303, decode.d0.loss_mask: 0.5765, decode.d0.loss_dice: 0.8910, decode.d1.loss_cls: 0.4103, decode.d1.loss_mask: 0.5647, decode.d1.loss_dice: 0.8521, decode.d2.loss_cls: 0.3645, decode.d2.loss_mask: 0.5558, decode.d2.loss_dice: 0.8314, decode.d3.loss_cls: 0.3464, decode.d3.loss_mask: 0.5456, decode.d3.loss_dice: 0.8121, decode.d4.loss_cls: 0.3383, decode.d4.loss_mask: 0.5488, decode.d4.loss_dice: 0.8174, decode.d5.loss_cls: 0.3406, decode.d5.loss_mask: 0.5472, decode.d5.loss_dice: 0.8122, decode.d6.loss_cls: 0.3351, decode.d6.loss_mask: 0.5441, decode.d6.loss_dice: 0.8127, decode.d7.loss_cls: 0.3289, decode.d7.loss_mask: 0.5463, decode.d7.loss_dice: 0.8135, decode.d8.loss_cls: 0.3294, decode.d8.loss_mask: 0.5472, decode.d8.loss_dice: 0.8131, loss: 18.2504, grad_norm: 48.4861 2023-11-12 06:07:20,524 - mmseg - INFO - Iter [52200/160000] lr: 6.738e-05, eta: 15:12:50, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3406, decode.loss_mask: 0.5629, decode.loss_dice: 0.8037, decode.d0.loss_cls: 1.3573, decode.d0.loss_mask: 0.5933, decode.d0.loss_dice: 0.8916, decode.d1.loss_cls: 0.4211, decode.d1.loss_mask: 0.5797, decode.d1.loss_dice: 0.8577, decode.d2.loss_cls: 0.3761, decode.d2.loss_mask: 0.5770, decode.d2.loss_dice: 0.8343, decode.d3.loss_cls: 0.3669, decode.d3.loss_mask: 0.5647, decode.d3.loss_dice: 0.8108, decode.d4.loss_cls: 0.3472, decode.d4.loss_mask: 0.5677, decode.d4.loss_dice: 0.8101, decode.d5.loss_cls: 0.3499, decode.d5.loss_mask: 0.5688, decode.d5.loss_dice: 0.8099, decode.d6.loss_cls: 0.3476, decode.d6.loss_mask: 0.5654, decode.d6.loss_dice: 0.8025, decode.d7.loss_cls: 0.3449, decode.d7.loss_mask: 0.5638, decode.d7.loss_dice: 0.8057, decode.d8.loss_cls: 0.3405, decode.d8.loss_mask: 0.5676, decode.d8.loss_dice: 0.8071, loss: 18.5364, grad_norm: 49.4459 2023-11-12 06:07:44,766 - mmseg - INFO - Iter [52250/160000] lr: 6.734e-05, eta: 15:12:22, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3541, decode.loss_mask: 0.5541, decode.loss_dice: 0.8058, decode.d0.loss_cls: 1.3559, decode.d0.loss_mask: 0.5917, decode.d0.loss_dice: 0.8873, decode.d1.loss_cls: 0.4333, decode.d1.loss_mask: 0.5717, decode.d1.loss_dice: 0.8571, decode.d2.loss_cls: 0.3883, decode.d2.loss_mask: 0.5641, decode.d2.loss_dice: 0.8246, decode.d3.loss_cls: 0.3754, decode.d3.loss_mask: 0.5577, decode.d3.loss_dice: 0.8134, decode.d4.loss_cls: 0.3634, decode.d4.loss_mask: 0.5596, decode.d4.loss_dice: 0.8111, decode.d5.loss_cls: 0.3593, decode.d5.loss_mask: 0.5578, decode.d5.loss_dice: 0.8098, decode.d6.loss_cls: 0.3563, decode.d6.loss_mask: 0.5580, decode.d6.loss_dice: 0.8075, decode.d7.loss_cls: 0.3543, decode.d7.loss_mask: 0.5556, decode.d7.loss_dice: 0.8085, decode.d8.loss_cls: 0.3513, decode.d8.loss_mask: 0.5550, decode.d8.loss_dice: 0.8087, loss: 18.5510, grad_norm: 49.5927 2023-11-12 06:08:08,846 - mmseg - INFO - Iter [52300/160000] lr: 6.731e-05, eta: 15:11:54, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3449, decode.loss_mask: 0.5333, decode.loss_dice: 0.8003, decode.d0.loss_cls: 1.3603, decode.d0.loss_mask: 0.5712, decode.d0.loss_dice: 0.8796, decode.d1.loss_cls: 0.4196, decode.d1.loss_mask: 0.5557, decode.d1.loss_dice: 0.8536, decode.d2.loss_cls: 0.3826, decode.d2.loss_mask: 0.5387, decode.d2.loss_dice: 0.8215, decode.d3.loss_cls: 0.3655, decode.d3.loss_mask: 0.5314, decode.d3.loss_dice: 0.8044, decode.d4.loss_cls: 0.3540, decode.d4.loss_mask: 0.5347, decode.d4.loss_dice: 0.8010, decode.d5.loss_cls: 0.3532, decode.d5.loss_mask: 0.5330, decode.d5.loss_dice: 0.8024, decode.d6.loss_cls: 0.3501, decode.d6.loss_mask: 0.5330, decode.d6.loss_dice: 0.7996, decode.d7.loss_cls: 0.3385, decode.d7.loss_mask: 0.5325, decode.d7.loss_dice: 0.8005, decode.d8.loss_cls: 0.3425, decode.d8.loss_mask: 0.5350, decode.d8.loss_dice: 0.8015, loss: 18.1740, grad_norm: 45.8329 2023-11-12 06:08:32,755 - mmseg - INFO - Iter [52350/160000] lr: 6.728e-05, eta: 15:11:25, time: 0.478, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3566, decode.loss_mask: 0.5448, decode.loss_dice: 0.8242, decode.d0.loss_cls: 1.3709, decode.d0.loss_mask: 0.5860, decode.d0.loss_dice: 0.9126, decode.d1.loss_cls: 0.4488, decode.d1.loss_mask: 0.5633, decode.d1.loss_dice: 0.8828, decode.d2.loss_cls: 0.3990, decode.d2.loss_mask: 0.5525, decode.d2.loss_dice: 0.8478, decode.d3.loss_cls: 0.3815, decode.d3.loss_mask: 0.5529, decode.d3.loss_dice: 0.8301, decode.d4.loss_cls: 0.3719, decode.d4.loss_mask: 0.5514, decode.d4.loss_dice: 0.8284, decode.d5.loss_cls: 0.3650, decode.d5.loss_mask: 0.5470, decode.d5.loss_dice: 0.8274, decode.d6.loss_cls: 0.3645, decode.d6.loss_mask: 0.5452, decode.d6.loss_dice: 0.8215, decode.d7.loss_cls: 0.3646, decode.d7.loss_mask: 0.5441, decode.d7.loss_dice: 0.8189, decode.d8.loss_cls: 0.3577, decode.d8.loss_mask: 0.5451, decode.d8.loss_dice: 0.8243, loss: 18.7305, grad_norm: 45.0647 2023-11-12 06:08:56,625 - mmseg - INFO - Iter [52400/160000] lr: 6.725e-05, eta: 15:10:57, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3553, decode.loss_mask: 0.5522, decode.loss_dice: 0.8245, decode.d0.loss_cls: 1.3360, decode.d0.loss_mask: 0.5863, decode.d0.loss_dice: 0.9129, decode.d1.loss_cls: 0.4333, decode.d1.loss_mask: 0.5696, decode.d1.loss_dice: 0.8751, decode.d2.loss_cls: 0.3940, decode.d2.loss_mask: 0.5606, decode.d2.loss_dice: 0.8486, decode.d3.loss_cls: 0.3712, decode.d3.loss_mask: 0.5570, decode.d3.loss_dice: 0.8354, decode.d4.loss_cls: 0.3697, decode.d4.loss_mask: 0.5583, decode.d4.loss_dice: 0.8359, decode.d5.loss_cls: 0.3614, decode.d5.loss_mask: 0.5537, decode.d5.loss_dice: 0.8335, decode.d6.loss_cls: 0.3624, decode.d6.loss_mask: 0.5548, decode.d6.loss_dice: 0.8237, decode.d7.loss_cls: 0.3571, decode.d7.loss_mask: 0.5540, decode.d7.loss_dice: 0.8286, decode.d8.loss_cls: 0.3542, decode.d8.loss_mask: 0.5529, decode.d8.loss_dice: 0.8285, loss: 18.7409, grad_norm: 46.7948 2023-11-12 06:09:20,676 - mmseg - INFO - Iter [52450/160000] lr: 6.722e-05, eta: 15:10:29, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3363, decode.loss_mask: 0.5334, decode.loss_dice: 0.7925, decode.d0.loss_cls: 1.3293, decode.d0.loss_mask: 0.5698, decode.d0.loss_dice: 0.8804, decode.d1.loss_cls: 0.4059, decode.d1.loss_mask: 0.5549, decode.d1.loss_dice: 0.8441, decode.d2.loss_cls: 0.3625, decode.d2.loss_mask: 0.5406, decode.d2.loss_dice: 0.8129, decode.d3.loss_cls: 0.3576, decode.d3.loss_mask: 0.5335, decode.d3.loss_dice: 0.8014, decode.d4.loss_cls: 0.3463, decode.d4.loss_mask: 0.5347, decode.d4.loss_dice: 0.8019, decode.d5.loss_cls: 0.3418, decode.d5.loss_mask: 0.5354, decode.d5.loss_dice: 0.7985, decode.d6.loss_cls: 0.3394, decode.d6.loss_mask: 0.5345, decode.d6.loss_dice: 0.7926, decode.d7.loss_cls: 0.3336, decode.d7.loss_mask: 0.5347, decode.d7.loss_dice: 0.7939, decode.d8.loss_cls: 0.3329, decode.d8.loss_mask: 0.5334, decode.d8.loss_dice: 0.7960, loss: 18.0043, grad_norm: 45.5377 2023-11-12 06:09:44,641 - mmseg - INFO - Iter [52500/160000] lr: 6.719e-05, eta: 15:10:00, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3260, decode.loss_mask: 0.5352, decode.loss_dice: 0.7834, decode.d0.loss_cls: 1.3152, decode.d0.loss_mask: 0.5666, decode.d0.loss_dice: 0.8677, decode.d1.loss_cls: 0.4095, decode.d1.loss_mask: 0.5555, decode.d1.loss_dice: 0.8336, decode.d2.loss_cls: 0.3698, decode.d2.loss_mask: 0.5436, decode.d2.loss_dice: 0.8004, decode.d3.loss_cls: 0.3449, decode.d3.loss_mask: 0.5384, decode.d3.loss_dice: 0.7922, decode.d4.loss_cls: 0.3364, decode.d4.loss_mask: 0.5380, decode.d4.loss_dice: 0.7950, decode.d5.loss_cls: 0.3314, decode.d5.loss_mask: 0.5366, decode.d5.loss_dice: 0.7848, decode.d6.loss_cls: 0.3378, decode.d6.loss_mask: 0.5336, decode.d6.loss_dice: 0.7774, decode.d7.loss_cls: 0.3291, decode.d7.loss_mask: 0.5365, decode.d7.loss_dice: 0.7873, decode.d8.loss_cls: 0.3261, decode.d8.loss_mask: 0.5382, decode.d8.loss_dice: 0.7876, loss: 17.8579, grad_norm: 45.0738 2023-11-12 06:10:08,774 - mmseg - INFO - Iter [52550/160000] lr: 6.716e-05, eta: 15:09:32, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3511, decode.loss_mask: 0.5305, decode.loss_dice: 0.8092, decode.d0.loss_cls: 1.3910, decode.d0.loss_mask: 0.5682, decode.d0.loss_dice: 0.8949, decode.d1.loss_cls: 0.4415, decode.d1.loss_mask: 0.5485, decode.d1.loss_dice: 0.8616, decode.d2.loss_cls: 0.3859, decode.d2.loss_mask: 0.5412, decode.d2.loss_dice: 0.8341, decode.d3.loss_cls: 0.3704, decode.d3.loss_mask: 0.5351, decode.d3.loss_dice: 0.8100, decode.d4.loss_cls: 0.3587, decode.d4.loss_mask: 0.5350, decode.d4.loss_dice: 0.8120, decode.d5.loss_cls: 0.3578, decode.d5.loss_mask: 0.5341, decode.d5.loss_dice: 0.8151, decode.d6.loss_cls: 0.3545, decode.d6.loss_mask: 0.5341, decode.d6.loss_dice: 0.8086, decode.d7.loss_cls: 0.3540, decode.d7.loss_mask: 0.5305, decode.d7.loss_dice: 0.8089, decode.d8.loss_cls: 0.3505, decode.d8.loss_mask: 0.5303, decode.d8.loss_dice: 0.8074, loss: 18.3648, grad_norm: 46.6344 2023-11-12 06:10:32,966 - mmseg - INFO - Iter [52600/160000] lr: 6.713e-05, eta: 15:09:05, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3414, decode.loss_mask: 0.5292, decode.loss_dice: 0.7966, decode.d0.loss_cls: 1.3327, decode.d0.loss_mask: 0.5684, decode.d0.loss_dice: 0.8864, decode.d1.loss_cls: 0.4122, decode.d1.loss_mask: 0.5469, decode.d1.loss_dice: 0.8548, decode.d2.loss_cls: 0.3724, decode.d2.loss_mask: 0.5368, decode.d2.loss_dice: 0.8264, decode.d3.loss_cls: 0.3569, decode.d3.loss_mask: 0.5313, decode.d3.loss_dice: 0.8139, decode.d4.loss_cls: 0.3487, decode.d4.loss_mask: 0.5287, decode.d4.loss_dice: 0.8077, decode.d5.loss_cls: 0.3457, decode.d5.loss_mask: 0.5316, decode.d5.loss_dice: 0.8095, decode.d6.loss_cls: 0.3457, decode.d6.loss_mask: 0.5310, decode.d6.loss_dice: 0.7991, decode.d7.loss_cls: 0.3424, decode.d7.loss_mask: 0.5299, decode.d7.loss_dice: 0.7990, decode.d8.loss_cls: 0.3397, decode.d8.loss_mask: 0.5302, decode.d8.loss_dice: 0.7990, loss: 18.0941, grad_norm: 48.7880 2023-11-12 06:10:56,977 - mmseg - INFO - Iter [52650/160000] lr: 6.709e-05, eta: 15:08:36, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3298, decode.loss_mask: 0.5426, decode.loss_dice: 0.8012, decode.d0.loss_cls: 1.3165, decode.d0.loss_mask: 0.5729, decode.d0.loss_dice: 0.8826, decode.d1.loss_cls: 0.4066, decode.d1.loss_mask: 0.5584, decode.d1.loss_dice: 0.8532, decode.d2.loss_cls: 0.3587, decode.d2.loss_mask: 0.5458, decode.d2.loss_dice: 0.8312, decode.d3.loss_cls: 0.3536, decode.d3.loss_mask: 0.5402, decode.d3.loss_dice: 0.8126, decode.d4.loss_cls: 0.3403, decode.d4.loss_mask: 0.5404, decode.d4.loss_dice: 0.8184, decode.d5.loss_cls: 0.3415, decode.d5.loss_mask: 0.5382, decode.d5.loss_dice: 0.8138, decode.d6.loss_cls: 0.3371, decode.d6.loss_mask: 0.5413, decode.d6.loss_dice: 0.7998, decode.d7.loss_cls: 0.3343, decode.d7.loss_mask: 0.5410, decode.d7.loss_dice: 0.8037, decode.d8.loss_cls: 0.3286, decode.d8.loss_mask: 0.5404, decode.d8.loss_dice: 0.8046, loss: 18.1292, grad_norm: 46.1680 2023-11-12 06:11:20,917 - mmseg - INFO - Iter [52700/160000] lr: 6.706e-05, eta: 15:08:08, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3401, decode.loss_mask: 0.5544, decode.loss_dice: 0.8253, decode.d0.loss_cls: 1.3451, decode.d0.loss_mask: 0.5953, decode.d0.loss_dice: 0.9062, decode.d1.loss_cls: 0.4290, decode.d1.loss_mask: 0.5749, decode.d1.loss_dice: 0.8798, decode.d2.loss_cls: 0.3723, decode.d2.loss_mask: 0.5689, decode.d2.loss_dice: 0.8497, decode.d3.loss_cls: 0.3582, decode.d3.loss_mask: 0.5646, decode.d3.loss_dice: 0.8339, decode.d4.loss_cls: 0.3477, decode.d4.loss_mask: 0.5645, decode.d4.loss_dice: 0.8350, decode.d5.loss_cls: 0.3436, decode.d5.loss_mask: 0.5605, decode.d5.loss_dice: 0.8245, decode.d6.loss_cls: 0.3403, decode.d6.loss_mask: 0.5594, decode.d6.loss_dice: 0.8206, decode.d7.loss_cls: 0.3400, decode.d7.loss_mask: 0.5568, decode.d7.loss_dice: 0.8271, decode.d8.loss_cls: 0.3407, decode.d8.loss_mask: 0.5554, decode.d8.loss_dice: 0.8271, loss: 18.6408, grad_norm: 46.8298 2023-11-12 06:11:44,885 - mmseg - INFO - Iter [52750/160000] lr: 6.703e-05, eta: 15:07:40, time: 0.479, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3411, decode.loss_mask: 0.5665, decode.loss_dice: 0.8112, decode.d0.loss_cls: 1.3632, decode.d0.loss_mask: 0.5981, decode.d0.loss_dice: 0.8883, decode.d1.loss_cls: 0.4264, decode.d1.loss_mask: 0.5813, decode.d1.loss_dice: 0.8578, decode.d2.loss_cls: 0.3754, decode.d2.loss_mask: 0.5750, decode.d2.loss_dice: 0.8407, decode.d3.loss_cls: 0.3630, decode.d3.loss_mask: 0.5683, decode.d3.loss_dice: 0.8173, decode.d4.loss_cls: 0.3528, decode.d4.loss_mask: 0.5666, decode.d4.loss_dice: 0.8202, decode.d5.loss_cls: 0.3550, decode.d5.loss_mask: 0.5685, decode.d5.loss_dice: 0.8188, decode.d6.loss_cls: 0.3478, decode.d6.loss_mask: 0.5663, decode.d6.loss_dice: 0.8055, decode.d7.loss_cls: 0.3461, decode.d7.loss_mask: 0.5639, decode.d7.loss_dice: 0.8114, decode.d8.loss_cls: 0.3394, decode.d8.loss_mask: 0.5665, decode.d8.loss_dice: 0.8117, loss: 18.6143, grad_norm: 46.7605 2023-11-12 06:12:08,876 - mmseg - INFO - Iter [52800/160000] lr: 6.700e-05, eta: 15:07:11, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3412, decode.loss_mask: 0.5409, decode.loss_dice: 0.8241, decode.d0.loss_cls: 1.3610, decode.d0.loss_mask: 0.5730, decode.d0.loss_dice: 0.8930, decode.d1.loss_cls: 0.4241, decode.d1.loss_mask: 0.5604, decode.d1.loss_dice: 0.8672, decode.d2.loss_cls: 0.3795, decode.d2.loss_mask: 0.5526, decode.d2.loss_dice: 0.8467, decode.d3.loss_cls: 0.3612, decode.d3.loss_mask: 0.5452, decode.d3.loss_dice: 0.8290, decode.d4.loss_cls: 0.3489, decode.d4.loss_mask: 0.5458, decode.d4.loss_dice: 0.8281, decode.d5.loss_cls: 0.3486, decode.d5.loss_mask: 0.5442, decode.d5.loss_dice: 0.8274, decode.d6.loss_cls: 0.3447, decode.d6.loss_mask: 0.5411, decode.d6.loss_dice: 0.8221, decode.d7.loss_cls: 0.3443, decode.d7.loss_mask: 0.5408, decode.d7.loss_dice: 0.8218, decode.d8.loss_cls: 0.3439, decode.d8.loss_mask: 0.5417, decode.d8.loss_dice: 0.8217, loss: 18.4641, grad_norm: 46.6595 2023-11-12 06:12:32,731 - mmseg - INFO - Iter [52850/160000] lr: 6.697e-05, eta: 15:06:43, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3313, decode.loss_mask: 0.5532, decode.loss_dice: 0.7984, decode.d0.loss_cls: 1.3216, decode.d0.loss_mask: 0.5911, decode.d0.loss_dice: 0.8783, decode.d1.loss_cls: 0.4120, decode.d1.loss_mask: 0.5724, decode.d1.loss_dice: 0.8492, decode.d2.loss_cls: 0.3707, decode.d2.loss_mask: 0.5591, decode.d2.loss_dice: 0.8168, decode.d3.loss_cls: 0.3502, decode.d3.loss_mask: 0.5555, decode.d3.loss_dice: 0.8049, decode.d4.loss_cls: 0.3453, decode.d4.loss_mask: 0.5516, decode.d4.loss_dice: 0.8011, decode.d5.loss_cls: 0.3381, decode.d5.loss_mask: 0.5554, decode.d5.loss_dice: 0.8042, decode.d6.loss_cls: 0.3384, decode.d6.loss_mask: 0.5497, decode.d6.loss_dice: 0.7915, decode.d7.loss_cls: 0.3366, decode.d7.loss_mask: 0.5505, decode.d7.loss_dice: 0.7946, decode.d8.loss_cls: 0.3337, decode.d8.loss_mask: 0.5520, decode.d8.loss_dice: 0.7953, loss: 18.2027, grad_norm: 45.9630 2023-11-12 06:12:56,436 - mmseg - INFO - Iter [52900/160000] lr: 6.694e-05, eta: 15:06:14, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3155, decode.loss_mask: 0.5741, decode.loss_dice: 0.7863, decode.d0.loss_cls: 1.2796, decode.d0.loss_mask: 0.6078, decode.d0.loss_dice: 0.8603, decode.d1.loss_cls: 0.3964, decode.d1.loss_mask: 0.5921, decode.d1.loss_dice: 0.8355, decode.d2.loss_cls: 0.3466, decode.d2.loss_mask: 0.5767, decode.d2.loss_dice: 0.8073, decode.d3.loss_cls: 0.3339, decode.d3.loss_mask: 0.5728, decode.d3.loss_dice: 0.7937, decode.d4.loss_cls: 0.3274, decode.d4.loss_mask: 0.5712, decode.d4.loss_dice: 0.7944, decode.d5.loss_cls: 0.3231, decode.d5.loss_mask: 0.5744, decode.d5.loss_dice: 0.7957, decode.d6.loss_cls: 0.3250, decode.d6.loss_mask: 0.5714, decode.d6.loss_dice: 0.7838, decode.d7.loss_cls: 0.3199, decode.d7.loss_mask: 0.5738, decode.d7.loss_dice: 0.7873, decode.d8.loss_cls: 0.3174, decode.d8.loss_mask: 0.5743, decode.d8.loss_dice: 0.7904, loss: 18.1082, grad_norm: 49.5499 2023-11-12 06:13:20,365 - mmseg - INFO - Iter [52950/160000] lr: 6.691e-05, eta: 15:05:46, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3457, decode.loss_mask: 0.5376, decode.loss_dice: 0.8167, decode.d0.loss_cls: 1.3679, decode.d0.loss_mask: 0.5719, decode.d0.loss_dice: 0.9038, decode.d1.loss_cls: 0.4392, decode.d1.loss_mask: 0.5577, decode.d1.loss_dice: 0.8664, decode.d2.loss_cls: 0.3842, decode.d2.loss_mask: 0.5480, decode.d2.loss_dice: 0.8405, decode.d3.loss_cls: 0.3655, decode.d3.loss_mask: 0.5376, decode.d3.loss_dice: 0.8249, decode.d4.loss_cls: 0.3483, decode.d4.loss_mask: 0.5422, decode.d4.loss_dice: 0.8251, decode.d5.loss_cls: 0.3475, decode.d5.loss_mask: 0.5413, decode.d5.loss_dice: 0.8255, decode.d6.loss_cls: 0.3507, decode.d6.loss_mask: 0.5366, decode.d6.loss_dice: 0.8175, decode.d7.loss_cls: 0.3472, decode.d7.loss_mask: 0.5358, decode.d7.loss_dice: 0.8176, decode.d8.loss_cls: 0.3487, decode.d8.loss_mask: 0.5362, decode.d8.loss_dice: 0.8231, loss: 18.4508, grad_norm: 50.6323 2023-11-12 06:13:44,487 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 06:13:44,488 - mmseg - INFO - Iter [53000/160000] lr: 6.688e-05, eta: 15:05:18, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3287, decode.loss_mask: 0.5464, decode.loss_dice: 0.8041, decode.d0.loss_cls: 1.3724, decode.d0.loss_mask: 0.5840, decode.d0.loss_dice: 0.8938, decode.d1.loss_cls: 0.4147, decode.d1.loss_mask: 0.5627, decode.d1.loss_dice: 0.8583, decode.d2.loss_cls: 0.3710, decode.d2.loss_mask: 0.5518, decode.d2.loss_dice: 0.8284, decode.d3.loss_cls: 0.3606, decode.d3.loss_mask: 0.5476, decode.d3.loss_dice: 0.8071, decode.d4.loss_cls: 0.3519, decode.d4.loss_mask: 0.5469, decode.d4.loss_dice: 0.8089, decode.d5.loss_cls: 0.3486, decode.d5.loss_mask: 0.5493, decode.d5.loss_dice: 0.8111, decode.d6.loss_cls: 0.3423, decode.d6.loss_mask: 0.5478, decode.d6.loss_dice: 0.8073, decode.d7.loss_cls: 0.3338, decode.d7.loss_mask: 0.5473, decode.d7.loss_dice: 0.8087, decode.d8.loss_cls: 0.3304, decode.d8.loss_mask: 0.5465, decode.d8.loss_dice: 0.8111, loss: 18.3237, grad_norm: 48.6862 2023-11-12 06:14:11,125 - mmseg - INFO - Iter [53050/160000] lr: 6.684e-05, eta: 15:04:55, time: 0.533, data_time: 0.060, memory: 41146, decode.loss_cls: 0.3385, decode.loss_mask: 0.5472, decode.loss_dice: 0.8110, decode.d0.loss_cls: 1.3482, decode.d0.loss_mask: 0.5865, decode.d0.loss_dice: 0.8920, decode.d1.loss_cls: 0.4144, decode.d1.loss_mask: 0.5675, decode.d1.loss_dice: 0.8613, decode.d2.loss_cls: 0.3761, decode.d2.loss_mask: 0.5520, decode.d2.loss_dice: 0.8368, decode.d3.loss_cls: 0.3548, decode.d3.loss_mask: 0.5473, decode.d3.loss_dice: 0.8138, decode.d4.loss_cls: 0.3477, decode.d4.loss_mask: 0.5464, decode.d4.loss_dice: 0.8141, decode.d5.loss_cls: 0.3409, decode.d5.loss_mask: 0.5470, decode.d5.loss_dice: 0.8097, decode.d6.loss_cls: 0.3404, decode.d6.loss_mask: 0.5478, decode.d6.loss_dice: 0.8094, decode.d7.loss_cls: 0.3399, decode.d7.loss_mask: 0.5456, decode.d7.loss_dice: 0.8075, decode.d8.loss_cls: 0.3338, decode.d8.loss_mask: 0.5463, decode.d8.loss_dice: 0.8119, loss: 18.3358, grad_norm: 45.1883 2023-11-12 06:14:35,490 - mmseg - INFO - Iter [53100/160000] lr: 6.681e-05, eta: 15:04:28, time: 0.487, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3110, decode.loss_mask: 0.5522, decode.loss_dice: 0.7943, decode.d0.loss_cls: 1.3157, decode.d0.loss_mask: 0.5839, decode.d0.loss_dice: 0.8712, decode.d1.loss_cls: 0.4018, decode.d1.loss_mask: 0.5764, decode.d1.loss_dice: 0.8389, decode.d2.loss_cls: 0.3498, decode.d2.loss_mask: 0.5610, decode.d2.loss_dice: 0.8188, decode.d3.loss_cls: 0.3340, decode.d3.loss_mask: 0.5558, decode.d3.loss_dice: 0.7969, decode.d4.loss_cls: 0.3280, decode.d4.loss_mask: 0.5549, decode.d4.loss_dice: 0.8007, decode.d5.loss_cls: 0.3195, decode.d5.loss_mask: 0.5550, decode.d5.loss_dice: 0.8011, decode.d6.loss_cls: 0.3120, decode.d6.loss_mask: 0.5543, decode.d6.loss_dice: 0.7892, decode.d7.loss_cls: 0.3163, decode.d7.loss_mask: 0.5537, decode.d7.loss_dice: 0.7941, decode.d8.loss_cls: 0.3117, decode.d8.loss_mask: 0.5532, decode.d8.loss_dice: 0.7919, loss: 17.9973, grad_norm: 47.6715 2023-11-12 06:14:59,441 - mmseg - INFO - Iter [53150/160000] lr: 6.678e-05, eta: 15:03:59, time: 0.479, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3129, decode.loss_mask: 0.5552, decode.loss_dice: 0.7960, decode.d0.loss_cls: 1.3299, decode.d0.loss_mask: 0.5874, decode.d0.loss_dice: 0.8760, decode.d1.loss_cls: 0.4064, decode.d1.loss_mask: 0.5725, decode.d1.loss_dice: 0.8491, decode.d2.loss_cls: 0.3619, decode.d2.loss_mask: 0.5656, decode.d2.loss_dice: 0.8242, decode.d3.loss_cls: 0.3407, decode.d3.loss_mask: 0.5594, decode.d3.loss_dice: 0.8052, decode.d4.loss_cls: 0.3270, decode.d4.loss_mask: 0.5587, decode.d4.loss_dice: 0.8063, decode.d5.loss_cls: 0.3265, decode.d5.loss_mask: 0.5596, decode.d5.loss_dice: 0.8037, decode.d6.loss_cls: 0.3196, decode.d6.loss_mask: 0.5562, decode.d6.loss_dice: 0.7980, decode.d7.loss_cls: 0.3188, decode.d7.loss_mask: 0.5553, decode.d7.loss_dice: 0.7961, decode.d8.loss_cls: 0.3173, decode.d8.loss_mask: 0.5560, decode.d8.loss_dice: 0.7954, loss: 18.1368, grad_norm: 48.5402 2023-11-12 06:15:23,548 - mmseg - INFO - Iter [53200/160000] lr: 6.675e-05, eta: 15:03:31, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3069, decode.loss_mask: 0.5349, decode.loss_dice: 0.7852, decode.d0.loss_cls: 1.3126, decode.d0.loss_mask: 0.5659, decode.d0.loss_dice: 0.8628, decode.d1.loss_cls: 0.3984, decode.d1.loss_mask: 0.5491, decode.d1.loss_dice: 0.8262, decode.d2.loss_cls: 0.3502, decode.d2.loss_mask: 0.5399, decode.d2.loss_dice: 0.8059, decode.d3.loss_cls: 0.3283, decode.d3.loss_mask: 0.5354, decode.d3.loss_dice: 0.7858, decode.d4.loss_cls: 0.3190, decode.d4.loss_mask: 0.5358, decode.d4.loss_dice: 0.7876, decode.d5.loss_cls: 0.3176, decode.d5.loss_mask: 0.5342, decode.d5.loss_dice: 0.7892, decode.d6.loss_cls: 0.3102, decode.d6.loss_mask: 0.5349, decode.d6.loss_dice: 0.7862, decode.d7.loss_cls: 0.3103, decode.d7.loss_mask: 0.5354, decode.d7.loss_dice: 0.7829, decode.d8.loss_cls: 0.3073, decode.d8.loss_mask: 0.5345, decode.d8.loss_dice: 0.7891, loss: 17.6618, grad_norm: 46.2093 2023-11-12 06:15:47,407 - mmseg - INFO - Iter [53250/160000] lr: 6.672e-05, eta: 15:03:03, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3098, decode.loss_mask: 0.5470, decode.loss_dice: 0.7816, decode.d0.loss_cls: 1.3019, decode.d0.loss_mask: 0.5799, decode.d0.loss_dice: 0.8631, decode.d1.loss_cls: 0.3979, decode.d1.loss_mask: 0.5645, decode.d1.loss_dice: 0.8209, decode.d2.loss_cls: 0.3518, decode.d2.loss_mask: 0.5543, decode.d2.loss_dice: 0.8036, decode.d3.loss_cls: 0.3309, decode.d3.loss_mask: 0.5500, decode.d3.loss_dice: 0.7903, decode.d4.loss_cls: 0.3227, decode.d4.loss_mask: 0.5480, decode.d4.loss_dice: 0.7879, decode.d5.loss_cls: 0.3153, decode.d5.loss_mask: 0.5492, decode.d5.loss_dice: 0.7900, decode.d6.loss_cls: 0.3120, decode.d6.loss_mask: 0.5482, decode.d6.loss_dice: 0.7806, decode.d7.loss_cls: 0.3089, decode.d7.loss_mask: 0.5475, decode.d7.loss_dice: 0.7837, decode.d8.loss_cls: 0.3101, decode.d8.loss_mask: 0.5460, decode.d8.loss_dice: 0.7868, loss: 17.7843, grad_norm: 46.4728 2023-11-12 06:16:11,311 - mmseg - INFO - Iter [53300/160000] lr: 6.669e-05, eta: 15:02:35, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3576, decode.loss_mask: 0.5532, decode.loss_dice: 0.8360, decode.d0.loss_cls: 1.3536, decode.d0.loss_mask: 0.5997, decode.d0.loss_dice: 0.9199, decode.d1.loss_cls: 0.4484, decode.d1.loss_mask: 0.5764, decode.d1.loss_dice: 0.8885, decode.d2.loss_cls: 0.3930, decode.d2.loss_mask: 0.5639, decode.d2.loss_dice: 0.8590, decode.d3.loss_cls: 0.3715, decode.d3.loss_mask: 0.5545, decode.d3.loss_dice: 0.8421, decode.d4.loss_cls: 0.3673, decode.d4.loss_mask: 0.5539, decode.d4.loss_dice: 0.8445, decode.d5.loss_cls: 0.3539, decode.d5.loss_mask: 0.5569, decode.d5.loss_dice: 0.8464, decode.d6.loss_cls: 0.3583, decode.d6.loss_mask: 0.5537, decode.d6.loss_dice: 0.8376, decode.d7.loss_cls: 0.3544, decode.d7.loss_mask: 0.5558, decode.d7.loss_dice: 0.8438, decode.d8.loss_cls: 0.3577, decode.d8.loss_mask: 0.5539, decode.d8.loss_dice: 0.8419, loss: 18.8974, grad_norm: 44.3938 2023-11-12 06:16:35,237 - mmseg - INFO - Iter [53350/160000] lr: 6.666e-05, eta: 15:02:06, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3524, decode.loss_mask: 0.5525, decode.loss_dice: 0.8522, decode.d0.loss_cls: 1.3877, decode.d0.loss_mask: 0.5839, decode.d0.loss_dice: 0.9284, decode.d1.loss_cls: 0.4373, decode.d1.loss_mask: 0.5717, decode.d1.loss_dice: 0.9019, decode.d2.loss_cls: 0.4009, decode.d2.loss_mask: 0.5615, decode.d2.loss_dice: 0.8743, decode.d3.loss_cls: 0.3725, decode.d3.loss_mask: 0.5556, decode.d3.loss_dice: 0.8617, decode.d4.loss_cls: 0.3700, decode.d4.loss_mask: 0.5550, decode.d4.loss_dice: 0.8585, decode.d5.loss_cls: 0.3618, decode.d5.loss_mask: 0.5547, decode.d5.loss_dice: 0.8499, decode.d6.loss_cls: 0.3620, decode.d6.loss_mask: 0.5516, decode.d6.loss_dice: 0.8469, decode.d7.loss_cls: 0.3599, decode.d7.loss_mask: 0.5529, decode.d7.loss_dice: 0.8504, decode.d8.loss_cls: 0.3525, decode.d8.loss_mask: 0.5509, decode.d8.loss_dice: 0.8506, loss: 19.0218, grad_norm: 50.6421 2023-11-12 06:16:59,229 - mmseg - INFO - Iter [53400/160000] lr: 6.663e-05, eta: 15:01:38, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3122, decode.loss_mask: 0.5578, decode.loss_dice: 0.7952, decode.d0.loss_cls: 1.3276, decode.d0.loss_mask: 0.5972, decode.d0.loss_dice: 0.8695, decode.d1.loss_cls: 0.3891, decode.d1.loss_mask: 0.5794, decode.d1.loss_dice: 0.8442, decode.d2.loss_cls: 0.3477, decode.d2.loss_mask: 0.5663, decode.d2.loss_dice: 0.8171, decode.d3.loss_cls: 0.3312, decode.d3.loss_mask: 0.5613, decode.d3.loss_dice: 0.7991, decode.d4.loss_cls: 0.3299, decode.d4.loss_mask: 0.5603, decode.d4.loss_dice: 0.7991, decode.d5.loss_cls: 0.3194, decode.d5.loss_mask: 0.5613, decode.d5.loss_dice: 0.8021, decode.d6.loss_cls: 0.3161, decode.d6.loss_mask: 0.5610, decode.d6.loss_dice: 0.7959, decode.d7.loss_cls: 0.3160, decode.d7.loss_mask: 0.5606, decode.d7.loss_dice: 0.7949, decode.d8.loss_cls: 0.3162, decode.d8.loss_mask: 0.5622, decode.d8.loss_dice: 0.7957, loss: 18.0857, grad_norm: 47.1605 2023-11-12 06:17:23,601 - mmseg - INFO - Iter [53450/160000] lr: 6.659e-05, eta: 15:01:11, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3114, decode.loss_mask: 0.5484, decode.loss_dice: 0.7964, decode.d0.loss_cls: 1.3143, decode.d0.loss_mask: 0.5827, decode.d0.loss_dice: 0.8670, decode.d1.loss_cls: 0.3908, decode.d1.loss_mask: 0.5683, decode.d1.loss_dice: 0.8462, decode.d2.loss_cls: 0.3469, decode.d2.loss_mask: 0.5594, decode.d2.loss_dice: 0.8168, decode.d3.loss_cls: 0.3299, decode.d3.loss_mask: 0.5518, decode.d3.loss_dice: 0.7993, decode.d4.loss_cls: 0.3227, decode.d4.loss_mask: 0.5484, decode.d4.loss_dice: 0.8058, decode.d5.loss_cls: 0.3210, decode.d5.loss_mask: 0.5457, decode.d5.loss_dice: 0.7992, decode.d6.loss_cls: 0.3146, decode.d6.loss_mask: 0.5438, decode.d6.loss_dice: 0.7913, decode.d7.loss_cls: 0.3101, decode.d7.loss_mask: 0.5483, decode.d7.loss_dice: 0.7998, decode.d8.loss_cls: 0.3132, decode.d8.loss_mask: 0.5461, decode.d8.loss_dice: 0.7946, loss: 17.9341, grad_norm: 46.0615 2023-11-12 06:17:47,705 - mmseg - INFO - Iter [53500/160000] lr: 6.656e-05, eta: 15:00:43, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3092, decode.loss_mask: 0.5221, decode.loss_dice: 0.7841, decode.d0.loss_cls: 1.3167, decode.d0.loss_mask: 0.5546, decode.d0.loss_dice: 0.8677, decode.d1.loss_cls: 0.3923, decode.d1.loss_mask: 0.5423, decode.d1.loss_dice: 0.8417, decode.d2.loss_cls: 0.3506, decode.d2.loss_mask: 0.5305, decode.d2.loss_dice: 0.8130, decode.d3.loss_cls: 0.3306, decode.d3.loss_mask: 0.5224, decode.d3.loss_dice: 0.7914, decode.d4.loss_cls: 0.3215, decode.d4.loss_mask: 0.5230, decode.d4.loss_dice: 0.7934, decode.d5.loss_cls: 0.3192, decode.d5.loss_mask: 0.5213, decode.d5.loss_dice: 0.7915, decode.d6.loss_cls: 0.3143, decode.d6.loss_mask: 0.5224, decode.d6.loss_dice: 0.7861, decode.d7.loss_cls: 0.3117, decode.d7.loss_mask: 0.5224, decode.d7.loss_dice: 0.7883, decode.d8.loss_cls: 0.3103, decode.d8.loss_mask: 0.5238, decode.d8.loss_dice: 0.7880, loss: 17.6066, grad_norm: 41.6722 2023-11-12 06:18:11,694 - mmseg - INFO - Iter [53550/160000] lr: 6.653e-05, eta: 15:00:15, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3468, decode.loss_mask: 0.5405, decode.loss_dice: 0.7988, decode.d0.loss_cls: 1.3263, decode.d0.loss_mask: 0.5818, decode.d0.loss_dice: 0.8842, decode.d1.loss_cls: 0.4212, decode.d1.loss_mask: 0.5612, decode.d1.loss_dice: 0.8369, decode.d2.loss_cls: 0.3756, decode.d2.loss_mask: 0.5495, decode.d2.loss_dice: 0.8174, decode.d3.loss_cls: 0.3650, decode.d3.loss_mask: 0.5433, decode.d3.loss_dice: 0.8046, decode.d4.loss_cls: 0.3525, decode.d4.loss_mask: 0.5418, decode.d4.loss_dice: 0.8017, decode.d5.loss_cls: 0.3539, decode.d5.loss_mask: 0.5431, decode.d5.loss_dice: 0.8018, decode.d6.loss_cls: 0.3446, decode.d6.loss_mask: 0.5439, decode.d6.loss_dice: 0.7937, decode.d7.loss_cls: 0.3388, decode.d7.loss_mask: 0.5426, decode.d7.loss_dice: 0.7981, decode.d8.loss_cls: 0.3413, decode.d8.loss_mask: 0.5409, decode.d8.loss_dice: 0.8001, loss: 18.1918, grad_norm: 46.0301 2023-11-12 06:18:35,556 - mmseg - INFO - Iter [53600/160000] lr: 6.650e-05, eta: 14:59:46, time: 0.477, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3449, decode.loss_mask: 0.5375, decode.loss_dice: 0.7858, decode.d0.loss_cls: 1.3466, decode.d0.loss_mask: 0.5633, decode.d0.loss_dice: 0.8718, decode.d1.loss_cls: 0.4173, decode.d1.loss_mask: 0.5535, decode.d1.loss_dice: 0.8483, decode.d2.loss_cls: 0.3755, decode.d2.loss_mask: 0.5433, decode.d2.loss_dice: 0.8228, decode.d3.loss_cls: 0.3552, decode.d3.loss_mask: 0.5451, decode.d3.loss_dice: 0.8019, decode.d4.loss_cls: 0.3516, decode.d4.loss_mask: 0.5416, decode.d4.loss_dice: 0.8021, decode.d5.loss_cls: 0.3422, decode.d5.loss_mask: 0.5407, decode.d5.loss_dice: 0.7946, decode.d6.loss_cls: 0.3454, decode.d6.loss_mask: 0.5380, decode.d6.loss_dice: 0.7884, decode.d7.loss_cls: 0.3375, decode.d7.loss_mask: 0.5390, decode.d7.loss_dice: 0.7941, decode.d8.loss_cls: 0.3402, decode.d8.loss_mask: 0.5406, decode.d8.loss_dice: 0.7912, loss: 18.1000, grad_norm: 45.3332 2023-11-12 06:18:59,695 - mmseg - INFO - Iter [53650/160000] lr: 6.647e-05, eta: 14:59:19, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3345, decode.loss_mask: 0.5228, decode.loss_dice: 0.7797, decode.d0.loss_cls: 1.3545, decode.d0.loss_mask: 0.5611, decode.d0.loss_dice: 0.8677, decode.d1.loss_cls: 0.4238, decode.d1.loss_mask: 0.5446, decode.d1.loss_dice: 0.8310, decode.d2.loss_cls: 0.3773, decode.d2.loss_mask: 0.5311, decode.d2.loss_dice: 0.8094, decode.d3.loss_cls: 0.3581, decode.d3.loss_mask: 0.5270, decode.d3.loss_dice: 0.7894, decode.d4.loss_cls: 0.3473, decode.d4.loss_mask: 0.5254, decode.d4.loss_dice: 0.7886, decode.d5.loss_cls: 0.3366, decode.d5.loss_mask: 0.5263, decode.d5.loss_dice: 0.7889, decode.d6.loss_cls: 0.3346, decode.d6.loss_mask: 0.5267, decode.d6.loss_dice: 0.7802, decode.d7.loss_cls: 0.3282, decode.d7.loss_mask: 0.5236, decode.d7.loss_dice: 0.7889, decode.d8.loss_cls: 0.3313, decode.d8.loss_mask: 0.5243, decode.d8.loss_dice: 0.7849, loss: 17.8480, grad_norm: 46.1258 2023-11-12 06:19:23,737 - mmseg - INFO - Iter [53700/160000] lr: 6.644e-05, eta: 14:58:51, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3120, decode.loss_mask: 0.5326, decode.loss_dice: 0.7988, decode.d0.loss_cls: 1.2781, decode.d0.loss_mask: 0.5700, decode.d0.loss_dice: 0.8770, decode.d1.loss_cls: 0.3862, decode.d1.loss_mask: 0.5505, decode.d1.loss_dice: 0.8541, decode.d2.loss_cls: 0.3424, decode.d2.loss_mask: 0.5414, decode.d2.loss_dice: 0.8200, decode.d3.loss_cls: 0.3260, decode.d3.loss_mask: 0.5377, decode.d3.loss_dice: 0.8096, decode.d4.loss_cls: 0.3196, decode.d4.loss_mask: 0.5381, decode.d4.loss_dice: 0.8085, decode.d5.loss_cls: 0.3192, decode.d5.loss_mask: 0.5351, decode.d5.loss_dice: 0.8080, decode.d6.loss_cls: 0.3155, decode.d6.loss_mask: 0.5318, decode.d6.loss_dice: 0.8013, decode.d7.loss_cls: 0.3154, decode.d7.loss_mask: 0.5304, decode.d7.loss_dice: 0.8033, decode.d8.loss_cls: 0.3165, decode.d8.loss_mask: 0.5311, decode.d8.loss_dice: 0.8004, loss: 17.8105, grad_norm: 46.2287 2023-11-12 06:19:47,721 - mmseg - INFO - Iter [53750/160000] lr: 6.641e-05, eta: 14:58:23, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3303, decode.loss_mask: 0.5429, decode.loss_dice: 0.8093, decode.d0.loss_cls: 1.3347, decode.d0.loss_mask: 0.5759, decode.d0.loss_dice: 0.8823, decode.d1.loss_cls: 0.4131, decode.d1.loss_mask: 0.5641, decode.d1.loss_dice: 0.8471, decode.d2.loss_cls: 0.3737, decode.d2.loss_mask: 0.5525, decode.d2.loss_dice: 0.8281, decode.d3.loss_cls: 0.3526, decode.d3.loss_mask: 0.5459, decode.d3.loss_dice: 0.8144, decode.d4.loss_cls: 0.3498, decode.d4.loss_mask: 0.5432, decode.d4.loss_dice: 0.8108, decode.d5.loss_cls: 0.3414, decode.d5.loss_mask: 0.5436, decode.d5.loss_dice: 0.8100, decode.d6.loss_cls: 0.3396, decode.d6.loss_mask: 0.5425, decode.d6.loss_dice: 0.8088, decode.d7.loss_cls: 0.3317, decode.d7.loss_mask: 0.5431, decode.d7.loss_dice: 0.8137, decode.d8.loss_cls: 0.3354, decode.d8.loss_mask: 0.5412, decode.d8.loss_dice: 0.8052, loss: 18.2268, grad_norm: 46.5562 2023-11-12 06:20:11,794 - mmseg - INFO - Iter [53800/160000] lr: 6.638e-05, eta: 14:57:55, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3283, decode.loss_mask: 0.5461, decode.loss_dice: 0.8034, decode.d0.loss_cls: 1.3461, decode.d0.loss_mask: 0.5803, decode.d0.loss_dice: 0.8831, decode.d1.loss_cls: 0.4222, decode.d1.loss_mask: 0.5632, decode.d1.loss_dice: 0.8494, decode.d2.loss_cls: 0.3743, decode.d2.loss_mask: 0.5527, decode.d2.loss_dice: 0.8238, decode.d3.loss_cls: 0.3544, decode.d3.loss_mask: 0.5485, decode.d3.loss_dice: 0.8121, decode.d4.loss_cls: 0.3423, decode.d4.loss_mask: 0.5499, decode.d4.loss_dice: 0.8121, decode.d5.loss_cls: 0.3375, decode.d5.loss_mask: 0.5501, decode.d5.loss_dice: 0.8111, decode.d6.loss_cls: 0.3418, decode.d6.loss_mask: 0.5456, decode.d6.loss_dice: 0.8033, decode.d7.loss_cls: 0.3305, decode.d7.loss_mask: 0.5449, decode.d7.loss_dice: 0.8084, decode.d8.loss_cls: 0.3295, decode.d8.loss_mask: 0.5452, decode.d8.loss_dice: 0.8066, loss: 18.2464, grad_norm: 49.6845 2023-11-12 06:20:36,065 - mmseg - INFO - Iter [53850/160000] lr: 6.634e-05, eta: 14:57:27, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3156, decode.loss_mask: 0.5409, decode.loss_dice: 0.8153, decode.d0.loss_cls: 1.3193, decode.d0.loss_mask: 0.5777, decode.d0.loss_dice: 0.9002, decode.d1.loss_cls: 0.3983, decode.d1.loss_mask: 0.5602, decode.d1.loss_dice: 0.8673, decode.d2.loss_cls: 0.3518, decode.d2.loss_mask: 0.5524, decode.d2.loss_dice: 0.8433, decode.d3.loss_cls: 0.3362, decode.d3.loss_mask: 0.5492, decode.d3.loss_dice: 0.8269, decode.d4.loss_cls: 0.3326, decode.d4.loss_mask: 0.5442, decode.d4.loss_dice: 0.8271, decode.d5.loss_cls: 0.3258, decode.d5.loss_mask: 0.5446, decode.d5.loss_dice: 0.8294, decode.d6.loss_cls: 0.3232, decode.d6.loss_mask: 0.5414, decode.d6.loss_dice: 0.8172, decode.d7.loss_cls: 0.3185, decode.d7.loss_mask: 0.5423, decode.d7.loss_dice: 0.8213, decode.d8.loss_cls: 0.3130, decode.d8.loss_mask: 0.5403, decode.d8.loss_dice: 0.8154, loss: 18.1909, grad_norm: 47.9118 2023-11-12 06:21:00,291 - mmseg - INFO - Iter [53900/160000] lr: 6.631e-05, eta: 14:56:59, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3252, decode.loss_mask: 0.5437, decode.loss_dice: 0.8215, decode.d0.loss_cls: 1.3349, decode.d0.loss_mask: 0.5762, decode.d0.loss_dice: 0.9040, decode.d1.loss_cls: 0.4172, decode.d1.loss_mask: 0.5629, decode.d1.loss_dice: 0.8640, decode.d2.loss_cls: 0.3682, decode.d2.loss_mask: 0.5496, decode.d2.loss_dice: 0.8432, decode.d3.loss_cls: 0.3458, decode.d3.loss_mask: 0.5455, decode.d3.loss_dice: 0.8259, decode.d4.loss_cls: 0.3425, decode.d4.loss_mask: 0.5457, decode.d4.loss_dice: 0.8213, decode.d5.loss_cls: 0.3316, decode.d5.loss_mask: 0.5450, decode.d5.loss_dice: 0.8254, decode.d6.loss_cls: 0.3287, decode.d6.loss_mask: 0.5446, decode.d6.loss_dice: 0.8220, decode.d7.loss_cls: 0.3257, decode.d7.loss_mask: 0.5453, decode.d7.loss_dice: 0.8224, decode.d8.loss_cls: 0.3273, decode.d8.loss_mask: 0.5430, decode.d8.loss_dice: 0.8205, loss: 18.3186, grad_norm: 49.4990 2023-11-12 06:21:24,295 - mmseg - INFO - Iter [53950/160000] lr: 6.628e-05, eta: 14:56:31, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3334, decode.loss_mask: 0.5394, decode.loss_dice: 0.8163, decode.d0.loss_cls: 1.3394, decode.d0.loss_mask: 0.5735, decode.d0.loss_dice: 0.8933, decode.d1.loss_cls: 0.4106, decode.d1.loss_mask: 0.5600, decode.d1.loss_dice: 0.8587, decode.d2.loss_cls: 0.3702, decode.d2.loss_mask: 0.5455, decode.d2.loss_dice: 0.8343, decode.d3.loss_cls: 0.3472, decode.d3.loss_mask: 0.5420, decode.d3.loss_dice: 0.8176, decode.d4.loss_cls: 0.3438, decode.d4.loss_mask: 0.5394, decode.d4.loss_dice: 0.8216, decode.d5.loss_cls: 0.3342, decode.d5.loss_mask: 0.5415, decode.d5.loss_dice: 0.8217, decode.d6.loss_cls: 0.3402, decode.d6.loss_mask: 0.5391, decode.d6.loss_dice: 0.8147, decode.d7.loss_cls: 0.3315, decode.d7.loss_mask: 0.5396, decode.d7.loss_dice: 0.8156, decode.d8.loss_cls: 0.3355, decode.d8.loss_mask: 0.5372, decode.d8.loss_dice: 0.8183, loss: 18.2551, grad_norm: 43.9406 2023-11-12 06:21:48,150 - mmseg - INFO - Saving checkpoint at 54000 iterations 2023-11-12 06:21:52,165 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 06:21:52,166 - mmseg - INFO - Iter [54000/160000] lr: 6.625e-05, eta: 14:56:11, time: 0.558, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3245, decode.loss_mask: 0.5542, decode.loss_dice: 0.8191, decode.d0.loss_cls: 1.3248, decode.d0.loss_mask: 0.5818, decode.d0.loss_dice: 0.8936, decode.d1.loss_cls: 0.4156, decode.d1.loss_mask: 0.5667, decode.d1.loss_dice: 0.8619, decode.d2.loss_cls: 0.3625, decode.d2.loss_mask: 0.5604, decode.d2.loss_dice: 0.8461, decode.d3.loss_cls: 0.3478, decode.d3.loss_mask: 0.5568, decode.d3.loss_dice: 0.8275, decode.d4.loss_cls: 0.3405, decode.d4.loss_mask: 0.5561, decode.d4.loss_dice: 0.8259, decode.d5.loss_cls: 0.3314, decode.d5.loss_mask: 0.5542, decode.d5.loss_dice: 0.8218, decode.d6.loss_cls: 0.3310, decode.d6.loss_mask: 0.5518, decode.d6.loss_dice: 0.8194, decode.d7.loss_cls: 0.3330, decode.d7.loss_mask: 0.5514, decode.d7.loss_dice: 0.8159, decode.d8.loss_cls: 0.3333, decode.d8.loss_mask: 0.5531, decode.d8.loss_dice: 0.8187, loss: 18.3807, grad_norm: 48.0513 2023-11-12 06:22:11,238 - mmseg - INFO - per class results: 2023-11-12 06:22:11,243 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.93 | 87.37 | | building | 83.79 | 90.79 | | sky | 94.78 | 97.46 | | floor | 82.39 | 90.58 | | tree | 75.35 | 86.36 | | ceiling | 85.48 | 92.13 | | road | 83.81 | 91.99 | | bed | 90.16 | 96.28 | | windowpane | 62.73 | 81.65 | | grass | 71.07 | 86.34 | | cabinet | 63.96 | 76.38 | | sidewalk | 65.61 | 80.54 | | person | 84.98 | 91.51 | | earth | 40.45 | 58.61 | | door | 53.52 | 72.0 | | table | 65.15 | 80.21 | | mountain | 62.81 | 75.28 | | plant | 54.4 | 69.51 | | curtain | 80.32 | 87.71 | | chair | 61.17 | 75.01 | | car | 85.67 | 94.43 | | water | 51.71 | 65.92 | | painting | 73.67 | 88.85 | | sofa | 69.33 | 85.37 | | shelf | 41.29 | 54.96 | | house | 49.68 | 76.81 | | sea | 60.51 | 89.21 | | mirror | 69.2 | 82.28 | | rug | 67.46 | 77.48 | | field | 26.09 | 30.23 | | armchair | 47.77 | 63.32 | | seat | 62.32 | 80.03 | | fence | 47.54 | 64.23 | | desk | 47.29 | 66.99 | | rock | 50.35 | 72.35 | | wardrobe | 50.79 | 67.93 | | lamp | 71.27 | 83.47 | | bathtub | 74.03 | 88.56 | | railing | 37.09 | 60.35 | | cushion | 63.39 | 75.76 | | base | 38.16 | 77.39 | | box | 28.65 | 37.82 | | column | 45.02 | 69.19 | | signboard | 35.59 | 52.83 | | chest of drawers | 36.28 | 66.82 | | counter | 33.47 | 37.25 | | sand | 39.17 | 52.76 | | sink | 72.87 | 82.39 | | skyscraper | 34.56 | 44.99 | | fireplace | 70.77 | 90.96 | | refrigerator | 77.43 | 87.36 | | grandstand | 45.53 | 70.08 | | path | 7.43 | 9.45 | | stairs | 13.62 | 17.74 | | runway | 76.7 | 92.34 | | case | 59.64 | 75.21 | | pool table | 94.53 | 97.79 | | pillow | 60.66 | 73.05 | | screen door | 67.42 | 96.37 | | stairway | 27.73 | 49.77 | | river | 22.96 | 25.79 | | bridge | 77.3 | 89.49 | | bookcase | 39.55 | 66.71 | | blind | 48.23 | 55.97 | | coffee table | 63.45 | 83.6 | | toilet | 88.32 | 91.5 | | flower | 47.75 | 57.32 | | book | 51.69 | 72.83 | | hill | 5.82 | 10.33 | | bench | 55.96 | 71.18 | | countertop | 54.37 | 72.52 | | stove | 76.9 | 82.16 | | palm | 56.33 | 69.83 | | kitchen island | 40.16 | 81.83 | | computer | 70.94 | 75.2 | | swivel chair | 36.59 | 62.19 | | boat | 62.83 | 88.64 | | bar | 57.7 | 66.62 | | arcade machine | 37.57 | 40.51 | | hovel | 6.45 | 6.92 | | bus | 91.67 | 96.92 | | towel | 72.53 | 82.36 | | light | 62.41 | 78.72 | | truck | 41.71 | 52.26 | | tower | 25.51 | 52.23 | | chandelier | 71.73 | 84.07 | | awning | 38.41 | 50.22 | | streetlight | 41.39 | 48.96 | | booth | 31.54 | 38.29 | | television receiver | 69.47 | 81.21 | | airplane | 65.56 | 72.96 | | dirt track | 3.68 | 7.98 | | apparel | 34.29 | 65.78 | | pole | 32.0 | 54.0 | | land | 1.21 | 1.62 | | bannister | 19.9 | 29.71 | | escalator | 28.43 | 30.57 | | ottoman | 55.85 | 66.99 | | bottle | 31.52 | 41.06 | | buffet | 41.57 | 50.75 | | poster | 28.13 | 46.87 | | stage | 16.91 | 39.2 | | van | 28.21 | 38.56 | | ship | 9.97 | 10.77 | | fountain | 17.54 | 21.81 | | conveyer belt | 49.89 | 70.58 | | canopy | 42.28 | 59.09 | | washer | 73.33 | 75.38 | | plaything | 49.89 | 64.52 | | swimming pool | 60.0 | 60.85 | | stool | 43.19 | 81.58 | | barrel | 23.41 | 98.21 | | basket | 44.04 | 57.45 | | waterfall | 54.84 | 86.87 | | tent | 95.15 | 98.26 | | bag | 19.41 | 28.01 | | minibike | 70.58 | 92.43 | | cradle | 84.43 | 96.27 | | oven | 21.65 | 68.62 | | ball | 23.19 | 26.21 | | food | 62.58 | 83.86 | | step | 18.0 | 24.45 | | tank | 48.26 | 65.55 | | trade name | 28.83 | 34.78 | | microwave | 40.79 | 44.93 | | pot | 50.74 | 63.71 | | animal | 60.11 | 61.58 | | bicycle | 62.55 | 82.0 | | lake | 0.03 | 0.03 | | dishwasher | 81.43 | 87.57 | | screen | 65.03 | 91.29 | | blanket | 24.86 | 32.37 | | sculpture | 62.68 | 87.27 | | hood | 69.86 | 83.96 | | sconce | 54.07 | 64.65 | | vase | 54.96 | 71.0 | | traffic light | 44.6 | 67.32 | | tray | 18.76 | 40.06 | | ashcan | 55.17 | 68.4 | | fan | 68.54 | 83.73 | | pier | 10.92 | 20.05 | | crt screen | 4.09 | 12.31 | | plate | 62.18 | 78.4 | | monitor | 9.37 | 13.85 | | bulletin board | 39.54 | 81.88 | | shower | 11.65 | 24.85 | | radiator | 77.12 | 83.41 | | glass | 20.9 | 22.96 | | clock | 55.68 | 65.38 | | flag | 44.28 | 53.02 | +---------------------+-------+-------+ 2023-11-12 06:22:11,243 - mmseg - INFO - Summary: 2023-11-12 06:22:11,244 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.95 | 50.52 | 64.61 | +-------+-------+-------+ 2023-11-12 06:22:11,244 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 06:22:11,245 - mmseg - INFO - Iter(val) [250] aAcc: 0.8395, mIoU: 0.5052, mAcc: 0.6461, IoU.wall: 0.7893, IoU.building: 0.8379, IoU.sky: 0.9478, IoU.floor: 0.8239, IoU.tree: 0.7535, IoU.ceiling: 0.8548, IoU.road: 0.8381, IoU.bed : 0.9016, IoU.windowpane: 0.6273, IoU.grass: 0.7107, IoU.cabinet: 0.6396, IoU.sidewalk: 0.6561, IoU.person: 0.8498, IoU.earth: 0.4045, IoU.door: 0.5352, IoU.table: 0.6515, IoU.mountain: 0.6281, IoU.plant: 0.5440, IoU.curtain: 0.8032, IoU.chair: 0.6117, IoU.car: 0.8567, IoU.water: 0.5171, IoU.painting: 0.7367, IoU.sofa: 0.6933, IoU.shelf: 0.4129, IoU.house: 0.4968, IoU.sea: 0.6051, IoU.mirror: 0.6920, IoU.rug: 0.6746, IoU.field: 0.2609, IoU.armchair: 0.4777, IoU.seat: 0.6232, IoU.fence: 0.4754, IoU.desk: 0.4729, IoU.rock: 0.5035, IoU.wardrobe: 0.5079, IoU.lamp: 0.7127, IoU.bathtub: 0.7403, IoU.railing: 0.3709, IoU.cushion: 0.6339, IoU.base: 0.3816, IoU.box: 0.2865, IoU.column: 0.4502, IoU.signboard: 0.3559, IoU.chest of drawers: 0.3628, IoU.counter: 0.3347, IoU.sand: 0.3917, IoU.sink: 0.7287, IoU.skyscraper: 0.3456, IoU.fireplace: 0.7077, IoU.refrigerator: 0.7743, IoU.grandstand: 0.4553, IoU.path: 0.0743, IoU.stairs: 0.1362, IoU.runway: 0.7670, IoU.case: 0.5964, IoU.pool table: 0.9453, IoU.pillow: 0.6066, IoU.screen door: 0.6742, IoU.stairway: 0.2773, IoU.river: 0.2296, IoU.bridge: 0.7730, IoU.bookcase: 0.3955, IoU.blind: 0.4823, IoU.coffee table: 0.6345, IoU.toilet: 0.8832, IoU.flower: 0.4775, IoU.book: 0.5169, IoU.hill: 0.0582, IoU.bench: 0.5596, IoU.countertop: 0.5437, IoU.stove: 0.7690, IoU.palm: 0.5633, IoU.kitchen island: 0.4016, IoU.computer: 0.7094, IoU.swivel chair: 0.3659, IoU.boat: 0.6283, IoU.bar: 0.5770, IoU.arcade machine: 0.3757, IoU.hovel: 0.0645, IoU.bus: 0.9167, IoU.towel: 0.7253, IoU.light: 0.6241, IoU.truck: 0.4171, IoU.tower: 0.2551, IoU.chandelier: 0.7173, IoU.awning: 0.3841, IoU.streetlight: 0.4139, IoU.booth: 0.3154, IoU.television receiver: 0.6947, IoU.airplane: 0.6556, IoU.dirt track: 0.0368, IoU.apparel: 0.3429, IoU.pole: 0.3200, IoU.land: 0.0121, IoU.bannister: 0.1990, IoU.escalator: 0.2843, IoU.ottoman: 0.5585, IoU.bottle: 0.3152, IoU.buffet: 0.4157, IoU.poster: 0.2813, IoU.stage: 0.1691, IoU.van: 0.2821, IoU.ship: 0.0997, IoU.fountain: 0.1754, IoU.conveyer belt: 0.4989, IoU.canopy: 0.4228, IoU.washer: 0.7333, IoU.plaything: 0.4989, IoU.swimming pool: 0.6000, IoU.stool: 0.4319, IoU.barrel: 0.2341, IoU.basket: 0.4404, IoU.waterfall: 0.5484, IoU.tent: 0.9515, IoU.bag: 0.1941, IoU.minibike: 0.7058, IoU.cradle: 0.8443, IoU.oven: 0.2165, IoU.ball: 0.2319, IoU.food: 0.6258, IoU.step: 0.1800, IoU.tank: 0.4826, IoU.trade name: 0.2883, IoU.microwave: 0.4079, IoU.pot: 0.5074, IoU.animal: 0.6011, IoU.bicycle: 0.6255, IoU.lake: 0.0003, IoU.dishwasher: 0.8143, IoU.screen: 0.6503, IoU.blanket: 0.2486, IoU.sculpture: 0.6268, IoU.hood: 0.6986, IoU.sconce: 0.5407, IoU.vase: 0.5496, IoU.traffic light: 0.4460, IoU.tray: 0.1876, IoU.ashcan: 0.5517, IoU.fan: 0.6854, IoU.pier: 0.1092, IoU.crt screen: 0.0409, IoU.plate: 0.6218, IoU.monitor: 0.0937, IoU.bulletin board: 0.3954, IoU.shower: 0.1165, IoU.radiator: 0.7712, IoU.glass: 0.2090, IoU.clock: 0.5568, IoU.flag: 0.4428, Acc.wall: 0.8737, Acc.building: 0.9079, Acc.sky: 0.9746, Acc.floor: 0.9058, Acc.tree: 0.8636, Acc.ceiling: 0.9213, Acc.road: 0.9199, Acc.bed : 0.9628, Acc.windowpane: 0.8165, Acc.grass: 0.8634, Acc.cabinet: 0.7638, Acc.sidewalk: 0.8054, Acc.person: 0.9151, Acc.earth: 0.5861, Acc.door: 0.7200, Acc.table: 0.8021, Acc.mountain: 0.7528, Acc.plant: 0.6951, Acc.curtain: 0.8771, Acc.chair: 0.7501, Acc.car: 0.9443, Acc.water: 0.6592, Acc.painting: 0.8885, Acc.sofa: 0.8537, Acc.shelf: 0.5496, Acc.house: 0.7681, Acc.sea: 0.8921, Acc.mirror: 0.8228, Acc.rug: 0.7748, Acc.field: 0.3023, Acc.armchair: 0.6332, Acc.seat: 0.8003, Acc.fence: 0.6423, Acc.desk: 0.6699, Acc.rock: 0.7235, Acc.wardrobe: 0.6793, Acc.lamp: 0.8347, Acc.bathtub: 0.8856, Acc.railing: 0.6035, Acc.cushion: 0.7576, Acc.base: 0.7739, Acc.box: 0.3782, Acc.column: 0.6919, Acc.signboard: 0.5283, Acc.chest of drawers: 0.6682, Acc.counter: 0.3725, Acc.sand: 0.5276, Acc.sink: 0.8239, Acc.skyscraper: 0.4499, Acc.fireplace: 0.9096, Acc.refrigerator: 0.8736, Acc.grandstand: 0.7008, Acc.path: 0.0945, Acc.stairs: 0.1774, Acc.runway: 0.9234, Acc.case: 0.7521, Acc.pool table: 0.9779, Acc.pillow: 0.7305, Acc.screen door: 0.9637, Acc.stairway: 0.4977, Acc.river: 0.2579, Acc.bridge: 0.8949, Acc.bookcase: 0.6671, Acc.blind: 0.5597, Acc.coffee table: 0.8360, Acc.toilet: 0.9150, Acc.flower: 0.5732, Acc.book: 0.7283, Acc.hill: 0.1033, Acc.bench: 0.7118, Acc.countertop: 0.7252, Acc.stove: 0.8216, Acc.palm: 0.6983, Acc.kitchen island: 0.8183, Acc.computer: 0.7520, Acc.swivel chair: 0.6219, Acc.boat: 0.8864, Acc.bar: 0.6662, Acc.arcade machine: 0.4051, Acc.hovel: 0.0692, Acc.bus: 0.9692, Acc.towel: 0.8236, Acc.light: 0.7872, Acc.truck: 0.5226, Acc.tower: 0.5223, Acc.chandelier: 0.8407, Acc.awning: 0.5022, Acc.streetlight: 0.4896, Acc.booth: 0.3829, Acc.television receiver: 0.8121, Acc.airplane: 0.7296, Acc.dirt track: 0.0798, Acc.apparel: 0.6578, Acc.pole: 0.5400, Acc.land: 0.0162, Acc.bannister: 0.2971, Acc.escalator: 0.3057, Acc.ottoman: 0.6699, Acc.bottle: 0.4106, Acc.buffet: 0.5075, Acc.poster: 0.4687, Acc.stage: 0.3920, Acc.van: 0.3856, Acc.ship: 0.1077, Acc.fountain: 0.2181, Acc.conveyer belt: 0.7058, Acc.canopy: 0.5909, Acc.washer: 0.7538, Acc.plaything: 0.6452, Acc.swimming pool: 0.6085, Acc.stool: 0.8158, Acc.barrel: 0.9821, Acc.basket: 0.5745, Acc.waterfall: 0.8687, Acc.tent: 0.9826, Acc.bag: 0.2801, Acc.minibike: 0.9243, Acc.cradle: 0.9627, Acc.oven: 0.6862, Acc.ball: 0.2621, Acc.food: 0.8386, Acc.step: 0.2445, Acc.tank: 0.6555, Acc.trade name: 0.3478, Acc.microwave: 0.4493, Acc.pot: 0.6371, Acc.animal: 0.6158, Acc.bicycle: 0.8200, Acc.lake: 0.0003, Acc.dishwasher: 0.8757, Acc.screen: 0.9129, Acc.blanket: 0.3237, Acc.sculpture: 0.8727, Acc.hood: 0.8396, Acc.sconce: 0.6465, Acc.vase: 0.7100, Acc.traffic light: 0.6732, Acc.tray: 0.4006, Acc.ashcan: 0.6840, Acc.fan: 0.8373, Acc.pier: 0.2005, Acc.crt screen: 0.1231, Acc.plate: 0.7840, Acc.monitor: 0.1385, Acc.bulletin board: 0.8188, Acc.shower: 0.2485, Acc.radiator: 0.8341, Acc.glass: 0.2296, Acc.clock: 0.6538, Acc.flag: 0.5302 2023-11-12 06:22:35,015 - mmseg - INFO - Iter [54050/160000] lr: 6.622e-05, eta: 14:56:20, time: 0.857, data_time: 0.394, memory: 41146, decode.loss_cls: 0.3258, decode.loss_mask: 0.5350, decode.loss_dice: 0.8018, decode.d0.loss_cls: 1.3022, decode.d0.loss_mask: 0.5713, decode.d0.loss_dice: 0.8767, decode.d1.loss_cls: 0.3923, decode.d1.loss_mask: 0.5531, decode.d1.loss_dice: 0.8573, decode.d2.loss_cls: 0.3499, decode.d2.loss_mask: 0.5443, decode.d2.loss_dice: 0.8277, decode.d3.loss_cls: 0.3313, decode.d3.loss_mask: 0.5389, decode.d3.loss_dice: 0.8138, decode.d4.loss_cls: 0.3264, decode.d4.loss_mask: 0.5384, decode.d4.loss_dice: 0.8119, decode.d5.loss_cls: 0.3219, decode.d5.loss_mask: 0.5397, decode.d5.loss_dice: 0.8133, decode.d6.loss_cls: 0.3259, decode.d6.loss_mask: 0.5363, decode.d6.loss_dice: 0.8003, decode.d7.loss_cls: 0.3294, decode.d7.loss_mask: 0.5343, decode.d7.loss_dice: 0.8031, decode.d8.loss_cls: 0.3241, decode.d8.loss_mask: 0.5372, decode.d8.loss_dice: 0.8058, loss: 17.9695, grad_norm: 46.7605 2023-11-12 06:22:58,913 - mmseg - INFO - Iter [54100/160000] lr: 6.619e-05, eta: 14:55:52, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3170, decode.loss_mask: 0.5235, decode.loss_dice: 0.7851, decode.d0.loss_cls: 1.3348, decode.d0.loss_mask: 0.5611, decode.d0.loss_dice: 0.8710, decode.d1.loss_cls: 0.4163, decode.d1.loss_mask: 0.5457, decode.d1.loss_dice: 0.8376, decode.d2.loss_cls: 0.3634, decode.d2.loss_mask: 0.5305, decode.d2.loss_dice: 0.8141, decode.d3.loss_cls: 0.3419, decode.d3.loss_mask: 0.5236, decode.d3.loss_dice: 0.7901, decode.d4.loss_cls: 0.3336, decode.d4.loss_mask: 0.5253, decode.d4.loss_dice: 0.7902, decode.d5.loss_cls: 0.3273, decode.d5.loss_mask: 0.5236, decode.d5.loss_dice: 0.7909, decode.d6.loss_cls: 0.3215, decode.d6.loss_mask: 0.5239, decode.d6.loss_dice: 0.7885, decode.d7.loss_cls: 0.3170, decode.d7.loss_mask: 0.5245, decode.d7.loss_dice: 0.7864, decode.d8.loss_cls: 0.3184, decode.d8.loss_mask: 0.5245, decode.d8.loss_dice: 0.7868, loss: 17.7381, grad_norm: 43.5236 2023-11-12 06:23:22,998 - mmseg - INFO - Iter [54150/160000] lr: 6.616e-05, eta: 14:55:24, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3511, decode.loss_mask: 0.5347, decode.loss_dice: 0.8146, decode.d0.loss_cls: 1.3948, decode.d0.loss_mask: 0.5757, decode.d0.loss_dice: 0.8976, decode.d1.loss_cls: 0.4328, decode.d1.loss_mask: 0.5555, decode.d1.loss_dice: 0.8678, decode.d2.loss_cls: 0.3896, decode.d2.loss_mask: 0.5416, decode.d2.loss_dice: 0.8323, decode.d3.loss_cls: 0.3724, decode.d3.loss_mask: 0.5380, decode.d3.loss_dice: 0.8216, decode.d4.loss_cls: 0.3600, decode.d4.loss_mask: 0.5385, decode.d4.loss_dice: 0.8203, decode.d5.loss_cls: 0.3585, decode.d5.loss_mask: 0.5376, decode.d5.loss_dice: 0.8220, decode.d6.loss_cls: 0.3587, decode.d6.loss_mask: 0.5351, decode.d6.loss_dice: 0.8126, decode.d7.loss_cls: 0.3534, decode.d7.loss_mask: 0.5359, decode.d7.loss_dice: 0.8133, decode.d8.loss_cls: 0.3519, decode.d8.loss_mask: 0.5370, decode.d8.loss_dice: 0.8139, loss: 18.4690, grad_norm: 47.8890 2023-11-12 06:23:47,198 - mmseg - INFO - Iter [54200/160000] lr: 6.613e-05, eta: 14:54:56, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3294, decode.loss_mask: 0.5654, decode.loss_dice: 0.8092, decode.d0.loss_cls: 1.3244, decode.d0.loss_mask: 0.5942, decode.d0.loss_dice: 0.8852, decode.d1.loss_cls: 0.4017, decode.d1.loss_mask: 0.5883, decode.d1.loss_dice: 0.8571, decode.d2.loss_cls: 0.3632, decode.d2.loss_mask: 0.5730, decode.d2.loss_dice: 0.8293, decode.d3.loss_cls: 0.3452, decode.d3.loss_mask: 0.5652, decode.d3.loss_dice: 0.8189, decode.d4.loss_cls: 0.3308, decode.d4.loss_mask: 0.5640, decode.d4.loss_dice: 0.8173, decode.d5.loss_cls: 0.3269, decode.d5.loss_mask: 0.5659, decode.d5.loss_dice: 0.8194, decode.d6.loss_cls: 0.3279, decode.d6.loss_mask: 0.5654, decode.d6.loss_dice: 0.8150, decode.d7.loss_cls: 0.3234, decode.d7.loss_mask: 0.5680, decode.d7.loss_dice: 0.8164, decode.d8.loss_cls: 0.3278, decode.d8.loss_mask: 0.5652, decode.d8.loss_dice: 0.8115, loss: 18.3944, grad_norm: 51.0699 2023-11-12 06:24:11,442 - mmseg - INFO - Iter [54250/160000] lr: 6.609e-05, eta: 14:54:28, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3459, decode.loss_mask: 0.5508, decode.loss_dice: 0.7890, decode.d0.loss_cls: 1.3462, decode.d0.loss_mask: 0.5861, decode.d0.loss_dice: 0.8763, decode.d1.loss_cls: 0.4157, decode.d1.loss_mask: 0.5723, decode.d1.loss_dice: 0.8358, decode.d2.loss_cls: 0.3764, decode.d2.loss_mask: 0.5607, decode.d2.loss_dice: 0.8156, decode.d3.loss_cls: 0.3651, decode.d3.loss_mask: 0.5544, decode.d3.loss_dice: 0.7977, decode.d4.loss_cls: 0.3524, decode.d4.loss_mask: 0.5524, decode.d4.loss_dice: 0.7969, decode.d5.loss_cls: 0.3503, decode.d5.loss_mask: 0.5524, decode.d5.loss_dice: 0.7949, decode.d6.loss_cls: 0.3484, decode.d6.loss_mask: 0.5497, decode.d6.loss_dice: 0.7900, decode.d7.loss_cls: 0.3476, decode.d7.loss_mask: 0.5488, decode.d7.loss_dice: 0.7899, decode.d8.loss_cls: 0.3462, decode.d8.loss_mask: 0.5520, decode.d8.loss_dice: 0.7913, loss: 18.2513, grad_norm: 51.0023 2023-11-12 06:24:35,454 - mmseg - INFO - Iter [54300/160000] lr: 6.606e-05, eta: 14:54:00, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3498, decode.loss_mask: 0.5658, decode.loss_dice: 0.8262, decode.d0.loss_cls: 1.3176, decode.d0.loss_mask: 0.6081, decode.d0.loss_dice: 0.9089, decode.d1.loss_cls: 0.4272, decode.d1.loss_mask: 0.5853, decode.d1.loss_dice: 0.8701, decode.d2.loss_cls: 0.3866, decode.d2.loss_mask: 0.5759, decode.d2.loss_dice: 0.8450, decode.d3.loss_cls: 0.3635, decode.d3.loss_mask: 0.5745, decode.d3.loss_dice: 0.8346, decode.d4.loss_cls: 0.3551, decode.d4.loss_mask: 0.5760, decode.d4.loss_dice: 0.8333, decode.d5.loss_cls: 0.3566, decode.d5.loss_mask: 0.5729, decode.d5.loss_dice: 0.8316, decode.d6.loss_cls: 0.3538, decode.d6.loss_mask: 0.5678, decode.d6.loss_dice: 0.8221, decode.d7.loss_cls: 0.3478, decode.d7.loss_mask: 0.5683, decode.d7.loss_dice: 0.8259, decode.d8.loss_cls: 0.3480, decode.d8.loss_mask: 0.5669, decode.d8.loss_dice: 0.8282, loss: 18.7934, grad_norm: 50.5806 2023-11-12 06:25:01,721 - mmseg - INFO - Iter [54350/160000] lr: 6.603e-05, eta: 14:53:37, time: 0.525, data_time: 0.058, memory: 41146, decode.loss_cls: 0.3182, decode.loss_mask: 0.5334, decode.loss_dice: 0.7869, decode.d0.loss_cls: 1.3281, decode.d0.loss_mask: 0.5701, decode.d0.loss_dice: 0.8572, decode.d1.loss_cls: 0.3990, decode.d1.loss_mask: 0.5520, decode.d1.loss_dice: 0.8246, decode.d2.loss_cls: 0.3587, decode.d2.loss_mask: 0.5415, decode.d2.loss_dice: 0.7986, decode.d3.loss_cls: 0.3400, decode.d3.loss_mask: 0.5353, decode.d3.loss_dice: 0.7871, decode.d4.loss_cls: 0.3304, decode.d4.loss_mask: 0.5370, decode.d4.loss_dice: 0.7896, decode.d5.loss_cls: 0.3242, decode.d5.loss_mask: 0.5352, decode.d5.loss_dice: 0.7919, decode.d6.loss_cls: 0.3180, decode.d6.loss_mask: 0.5333, decode.d6.loss_dice: 0.7872, decode.d7.loss_cls: 0.3159, decode.d7.loss_mask: 0.5344, decode.d7.loss_dice: 0.7885, decode.d8.loss_cls: 0.3185, decode.d8.loss_mask: 0.5339, decode.d8.loss_dice: 0.7845, loss: 17.7534, grad_norm: 45.6179 2023-11-12 06:25:25,802 - mmseg - INFO - Iter [54400/160000] lr: 6.600e-05, eta: 14:53:09, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3130, decode.loss_mask: 0.5364, decode.loss_dice: 0.7821, decode.d0.loss_cls: 1.3053, decode.d0.loss_mask: 0.5693, decode.d0.loss_dice: 0.8602, decode.d1.loss_cls: 0.4030, decode.d1.loss_mask: 0.5550, decode.d1.loss_dice: 0.8338, decode.d2.loss_cls: 0.3499, decode.d2.loss_mask: 0.5457, decode.d2.loss_dice: 0.8076, decode.d3.loss_cls: 0.3261, decode.d3.loss_mask: 0.5423, decode.d3.loss_dice: 0.7938, decode.d4.loss_cls: 0.3122, decode.d4.loss_mask: 0.5402, decode.d4.loss_dice: 0.7969, decode.d5.loss_cls: 0.3183, decode.d5.loss_mask: 0.5389, decode.d5.loss_dice: 0.7959, decode.d6.loss_cls: 0.3168, decode.d6.loss_mask: 0.5377, decode.d6.loss_dice: 0.7846, decode.d7.loss_cls: 0.3110, decode.d7.loss_mask: 0.5361, decode.d7.loss_dice: 0.7861, decode.d8.loss_cls: 0.3108, decode.d8.loss_mask: 0.5357, decode.d8.loss_dice: 0.7833, loss: 17.7280, grad_norm: 47.5644 2023-11-12 06:25:49,615 - mmseg - INFO - Iter [54450/160000] lr: 6.597e-05, eta: 14:52:41, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3319, decode.loss_mask: 0.5278, decode.loss_dice: 0.8013, decode.d0.loss_cls: 1.3697, decode.d0.loss_mask: 0.5706, decode.d0.loss_dice: 0.8845, decode.d1.loss_cls: 0.4104, decode.d1.loss_mask: 0.5498, decode.d1.loss_dice: 0.8496, decode.d2.loss_cls: 0.3645, decode.d2.loss_mask: 0.5387, decode.d2.loss_dice: 0.8219, decode.d3.loss_cls: 0.3510, decode.d3.loss_mask: 0.5315, decode.d3.loss_dice: 0.8105, decode.d4.loss_cls: 0.3413, decode.d4.loss_mask: 0.5293, decode.d4.loss_dice: 0.8107, decode.d5.loss_cls: 0.3345, decode.d5.loss_mask: 0.5307, decode.d5.loss_dice: 0.8095, decode.d6.loss_cls: 0.3365, decode.d6.loss_mask: 0.5283, decode.d6.loss_dice: 0.8015, decode.d7.loss_cls: 0.3328, decode.d7.loss_mask: 0.5293, decode.d7.loss_dice: 0.8021, decode.d8.loss_cls: 0.3304, decode.d8.loss_mask: 0.5275, decode.d8.loss_dice: 0.8053, loss: 18.0633, grad_norm: 46.1361 2023-11-12 06:26:13,651 - mmseg - INFO - Iter [54500/160000] lr: 6.594e-05, eta: 14:52:13, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3159, decode.loss_mask: 0.5424, decode.loss_dice: 0.7722, decode.d0.loss_cls: 1.3279, decode.d0.loss_mask: 0.5790, decode.d0.loss_dice: 0.8616, decode.d1.loss_cls: 0.3941, decode.d1.loss_mask: 0.5616, decode.d1.loss_dice: 0.8251, decode.d2.loss_cls: 0.3498, decode.d2.loss_mask: 0.5504, decode.d2.loss_dice: 0.7993, decode.d3.loss_cls: 0.3369, decode.d3.loss_mask: 0.5472, decode.d3.loss_dice: 0.7825, decode.d4.loss_cls: 0.3219, decode.d4.loss_mask: 0.5451, decode.d4.loss_dice: 0.7829, decode.d5.loss_cls: 0.3223, decode.d5.loss_mask: 0.5454, decode.d5.loss_dice: 0.7811, decode.d6.loss_cls: 0.3229, decode.d6.loss_mask: 0.5421, decode.d6.loss_dice: 0.7756, decode.d7.loss_cls: 0.3189, decode.d7.loss_mask: 0.5442, decode.d7.loss_dice: 0.7760, decode.d8.loss_cls: 0.3136, decode.d8.loss_mask: 0.5449, decode.d8.loss_dice: 0.7780, loss: 17.7609, grad_norm: 47.8053 2023-11-12 06:26:37,681 - mmseg - INFO - Iter [54550/160000] lr: 6.591e-05, eta: 14:51:45, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3161, decode.loss_mask: 0.5066, decode.loss_dice: 0.7788, decode.d0.loss_cls: 1.3449, decode.d0.loss_mask: 0.5449, decode.d0.loss_dice: 0.8646, decode.d1.loss_cls: 0.4018, decode.d1.loss_mask: 0.5314, decode.d1.loss_dice: 0.8253, decode.d2.loss_cls: 0.3531, decode.d2.loss_mask: 0.5187, decode.d2.loss_dice: 0.8034, decode.d3.loss_cls: 0.3376, decode.d3.loss_mask: 0.5134, decode.d3.loss_dice: 0.7826, decode.d4.loss_cls: 0.3261, decode.d4.loss_mask: 0.5106, decode.d4.loss_dice: 0.7843, decode.d5.loss_cls: 0.3259, decode.d5.loss_mask: 0.5080, decode.d5.loss_dice: 0.7873, decode.d6.loss_cls: 0.3213, decode.d6.loss_mask: 0.5089, decode.d6.loss_dice: 0.7829, decode.d7.loss_cls: 0.3128, decode.d7.loss_mask: 0.5079, decode.d7.loss_dice: 0.7809, decode.d8.loss_cls: 0.3110, decode.d8.loss_mask: 0.5081, decode.d8.loss_dice: 0.7808, loss: 17.4802, grad_norm: 44.6304 2023-11-12 06:27:01,610 - mmseg - INFO - Iter [54600/160000] lr: 6.588e-05, eta: 14:51:16, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3115, decode.loss_mask: 0.5267, decode.loss_dice: 0.7906, decode.d0.loss_cls: 1.3354, decode.d0.loss_mask: 0.5628, decode.d0.loss_dice: 0.8738, decode.d1.loss_cls: 0.3974, decode.d1.loss_mask: 0.5460, decode.d1.loss_dice: 0.8467, decode.d2.loss_cls: 0.3540, decode.d2.loss_mask: 0.5356, decode.d2.loss_dice: 0.8183, decode.d3.loss_cls: 0.3357, decode.d3.loss_mask: 0.5310, decode.d3.loss_dice: 0.8001, decode.d4.loss_cls: 0.3241, decode.d4.loss_mask: 0.5303, decode.d4.loss_dice: 0.8009, decode.d5.loss_cls: 0.3188, decode.d5.loss_mask: 0.5284, decode.d5.loss_dice: 0.7971, decode.d6.loss_cls: 0.3215, decode.d6.loss_mask: 0.5256, decode.d6.loss_dice: 0.7877, decode.d7.loss_cls: 0.3186, decode.d7.loss_mask: 0.5247, decode.d7.loss_dice: 0.7909, decode.d8.loss_cls: 0.3154, decode.d8.loss_mask: 0.5266, decode.d8.loss_dice: 0.7902, loss: 17.7663, grad_norm: 44.9617 2023-11-12 06:27:25,857 - mmseg - INFO - Iter [54650/160000] lr: 6.584e-05, eta: 14:50:49, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3296, decode.loss_mask: 0.5633, decode.loss_dice: 0.8244, decode.d0.loss_cls: 1.3344, decode.d0.loss_mask: 0.5967, decode.d0.loss_dice: 0.8914, decode.d1.loss_cls: 0.4206, decode.d1.loss_mask: 0.5850, decode.d1.loss_dice: 0.8616, decode.d2.loss_cls: 0.3784, decode.d2.loss_mask: 0.5732, decode.d2.loss_dice: 0.8405, decode.d3.loss_cls: 0.3526, decode.d3.loss_mask: 0.5685, decode.d3.loss_dice: 0.8263, decode.d4.loss_cls: 0.3448, decode.d4.loss_mask: 0.5669, decode.d4.loss_dice: 0.8277, decode.d5.loss_cls: 0.3455, decode.d5.loss_mask: 0.5678, decode.d5.loss_dice: 0.8259, decode.d6.loss_cls: 0.3478, decode.d6.loss_mask: 0.5672, decode.d6.loss_dice: 0.8219, decode.d7.loss_cls: 0.3419, decode.d7.loss_mask: 0.5636, decode.d7.loss_dice: 0.8182, decode.d8.loss_cls: 0.3338, decode.d8.loss_mask: 0.5636, decode.d8.loss_dice: 0.8237, loss: 18.6068, grad_norm: 49.1777 2023-11-12 06:27:49,811 - mmseg - INFO - Iter [54700/160000] lr: 6.581e-05, eta: 14:50:21, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3083, decode.loss_mask: 0.5430, decode.loss_dice: 0.8100, decode.d0.loss_cls: 1.2763, decode.d0.loss_mask: 0.5750, decode.d0.loss_dice: 0.8766, decode.d1.loss_cls: 0.3893, decode.d1.loss_mask: 0.5624, decode.d1.loss_dice: 0.8548, decode.d2.loss_cls: 0.3488, decode.d2.loss_mask: 0.5546, decode.d2.loss_dice: 0.8290, decode.d3.loss_cls: 0.3281, decode.d3.loss_mask: 0.5456, decode.d3.loss_dice: 0.8172, decode.d4.loss_cls: 0.3207, decode.d4.loss_mask: 0.5465, decode.d4.loss_dice: 0.8154, decode.d5.loss_cls: 0.3146, decode.d5.loss_mask: 0.5451, decode.d5.loss_dice: 0.8202, decode.d6.loss_cls: 0.3163, decode.d6.loss_mask: 0.5415, decode.d6.loss_dice: 0.8117, decode.d7.loss_cls: 0.3095, decode.d7.loss_mask: 0.5463, decode.d7.loss_dice: 0.8121, decode.d8.loss_cls: 0.3102, decode.d8.loss_mask: 0.5436, decode.d8.loss_dice: 0.8122, loss: 17.9849, grad_norm: 48.3329 2023-11-12 06:28:13,692 - mmseg - INFO - Iter [54750/160000] lr: 6.578e-05, eta: 14:49:53, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3091, decode.loss_mask: 0.5496, decode.loss_dice: 0.7853, decode.d0.loss_cls: 1.3085, decode.d0.loss_mask: 0.5886, decode.d0.loss_dice: 0.8632, decode.d1.loss_cls: 0.3877, decode.d1.loss_mask: 0.5652, decode.d1.loss_dice: 0.8350, decode.d2.loss_cls: 0.3353, decode.d2.loss_mask: 0.5570, decode.d2.loss_dice: 0.8121, decode.d3.loss_cls: 0.3161, decode.d3.loss_mask: 0.5524, decode.d3.loss_dice: 0.7984, decode.d4.loss_cls: 0.3088, decode.d4.loss_mask: 0.5542, decode.d4.loss_dice: 0.7964, decode.d5.loss_cls: 0.3037, decode.d5.loss_mask: 0.5539, decode.d5.loss_dice: 0.7937, decode.d6.loss_cls: 0.3041, decode.d6.loss_mask: 0.5524, decode.d6.loss_dice: 0.7893, decode.d7.loss_cls: 0.3079, decode.d7.loss_mask: 0.5507, decode.d7.loss_dice: 0.7915, decode.d8.loss_cls: 0.3021, decode.d8.loss_mask: 0.5492, decode.d8.loss_dice: 0.7901, loss: 17.8115, grad_norm: 47.3526 2023-11-12 06:28:37,468 - mmseg - INFO - Iter [54800/160000] lr: 6.575e-05, eta: 14:49:24, time: 0.476, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3207, decode.loss_mask: 0.5320, decode.loss_dice: 0.8119, decode.d0.loss_cls: 1.3754, decode.d0.loss_mask: 0.5707, decode.d0.loss_dice: 0.8859, decode.d1.loss_cls: 0.4165, decode.d1.loss_mask: 0.5537, decode.d1.loss_dice: 0.8595, decode.d2.loss_cls: 0.3559, decode.d2.loss_mask: 0.5419, decode.d2.loss_dice: 0.8311, decode.d3.loss_cls: 0.3431, decode.d3.loss_mask: 0.5369, decode.d3.loss_dice: 0.8187, decode.d4.loss_cls: 0.3333, decode.d4.loss_mask: 0.5364, decode.d4.loss_dice: 0.8207, decode.d5.loss_cls: 0.3244, decode.d5.loss_mask: 0.5361, decode.d5.loss_dice: 0.8228, decode.d6.loss_cls: 0.3236, decode.d6.loss_mask: 0.5347, decode.d6.loss_dice: 0.8143, decode.d7.loss_cls: 0.3201, decode.d7.loss_mask: 0.5315, decode.d7.loss_dice: 0.8118, decode.d8.loss_cls: 0.3165, decode.d8.loss_mask: 0.5316, decode.d8.loss_dice: 0.8190, loss: 18.1305, grad_norm: 44.6653 2023-11-12 06:29:01,296 - mmseg - INFO - Iter [54850/160000] lr: 6.572e-05, eta: 14:48:56, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3225, decode.loss_mask: 0.5616, decode.loss_dice: 0.8165, decode.d0.loss_cls: 1.3174, decode.d0.loss_mask: 0.5962, decode.d0.loss_dice: 0.9014, decode.d1.loss_cls: 0.3955, decode.d1.loss_mask: 0.5833, decode.d1.loss_dice: 0.8612, decode.d2.loss_cls: 0.3522, decode.d2.loss_mask: 0.5741, decode.d2.loss_dice: 0.8342, decode.d3.loss_cls: 0.3436, decode.d3.loss_mask: 0.5652, decode.d3.loss_dice: 0.8159, decode.d4.loss_cls: 0.3338, decode.d4.loss_mask: 0.5640, decode.d4.loss_dice: 0.8213, decode.d5.loss_cls: 0.3323, decode.d5.loss_mask: 0.5630, decode.d5.loss_dice: 0.8212, decode.d6.loss_cls: 0.3298, decode.d6.loss_mask: 0.5612, decode.d6.loss_dice: 0.8166, decode.d7.loss_cls: 0.3230, decode.d7.loss_mask: 0.5608, decode.d7.loss_dice: 0.8175, decode.d8.loss_cls: 0.3191, decode.d8.loss_mask: 0.5619, decode.d8.loss_dice: 0.8154, loss: 18.3816, grad_norm: 47.9360 2023-11-12 06:29:25,239 - mmseg - INFO - Iter [54900/160000] lr: 6.569e-05, eta: 14:48:28, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3228, decode.loss_mask: 0.5455, decode.loss_dice: 0.8095, decode.d0.loss_cls: 1.3186, decode.d0.loss_mask: 0.5784, decode.d0.loss_dice: 0.8999, decode.d1.loss_cls: 0.4072, decode.d1.loss_mask: 0.5587, decode.d1.loss_dice: 0.8688, decode.d2.loss_cls: 0.3574, decode.d2.loss_mask: 0.5526, decode.d2.loss_dice: 0.8357, decode.d3.loss_cls: 0.3489, decode.d3.loss_mask: 0.5485, decode.d3.loss_dice: 0.8153, decode.d4.loss_cls: 0.3379, decode.d4.loss_mask: 0.5466, decode.d4.loss_dice: 0.8209, decode.d5.loss_cls: 0.3325, decode.d5.loss_mask: 0.5464, decode.d5.loss_dice: 0.8135, decode.d6.loss_cls: 0.3321, decode.d6.loss_mask: 0.5436, decode.d6.loss_dice: 0.8082, decode.d7.loss_cls: 0.3279, decode.d7.loss_mask: 0.5469, decode.d7.loss_dice: 0.8103, decode.d8.loss_cls: 0.3285, decode.d8.loss_mask: 0.5452, decode.d8.loss_dice: 0.8103, loss: 18.2187, grad_norm: 49.4717 2023-11-12 06:29:49,220 - mmseg - INFO - Iter [54950/160000] lr: 6.566e-05, eta: 14:48:00, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3308, decode.loss_mask: 0.5498, decode.loss_dice: 0.8171, decode.d0.loss_cls: 1.3347, decode.d0.loss_mask: 0.5889, decode.d0.loss_dice: 0.8989, decode.d1.loss_cls: 0.4161, decode.d1.loss_mask: 0.5690, decode.d1.loss_dice: 0.8693, decode.d2.loss_cls: 0.3703, decode.d2.loss_mask: 0.5580, decode.d2.loss_dice: 0.8398, decode.d3.loss_cls: 0.3582, decode.d3.loss_mask: 0.5515, decode.d3.loss_dice: 0.8226, decode.d4.loss_cls: 0.3424, decode.d4.loss_mask: 0.5508, decode.d4.loss_dice: 0.8242, decode.d5.loss_cls: 0.3418, decode.d5.loss_mask: 0.5508, decode.d5.loss_dice: 0.8141, decode.d6.loss_cls: 0.3372, decode.d6.loss_mask: 0.5510, decode.d6.loss_dice: 0.8210, decode.d7.loss_cls: 0.3318, decode.d7.loss_mask: 0.5510, decode.d7.loss_dice: 0.8215, decode.d8.loss_cls: 0.3301, decode.d8.loss_mask: 0.5511, decode.d8.loss_dice: 0.8176, loss: 18.4116, grad_norm: 47.1900 2023-11-12 06:30:13,100 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 06:30:13,101 - mmseg - INFO - Iter [55000/160000] lr: 6.563e-05, eta: 14:47:32, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3100, decode.loss_mask: 0.5361, decode.loss_dice: 0.7952, decode.d0.loss_cls: 1.3035, decode.d0.loss_mask: 0.5728, decode.d0.loss_dice: 0.8806, decode.d1.loss_cls: 0.3888, decode.d1.loss_mask: 0.5559, decode.d1.loss_dice: 0.8439, decode.d2.loss_cls: 0.3438, decode.d2.loss_mask: 0.5424, decode.d2.loss_dice: 0.8230, decode.d3.loss_cls: 0.3275, decode.d3.loss_mask: 0.5394, decode.d3.loss_dice: 0.8064, decode.d4.loss_cls: 0.3239, decode.d4.loss_mask: 0.5385, decode.d4.loss_dice: 0.8058, decode.d5.loss_cls: 0.3156, decode.d5.loss_mask: 0.5385, decode.d5.loss_dice: 0.8058, decode.d6.loss_cls: 0.3175, decode.d6.loss_mask: 0.5364, decode.d6.loss_dice: 0.7937, decode.d7.loss_cls: 0.3173, decode.d7.loss_mask: 0.5353, decode.d7.loss_dice: 0.7951, decode.d8.loss_cls: 0.3145, decode.d8.loss_mask: 0.5355, decode.d8.loss_dice: 0.8008, loss: 17.8434, grad_norm: 47.4966 2023-11-12 06:30:37,533 - mmseg - INFO - Iter [55050/160000] lr: 6.559e-05, eta: 14:47:04, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3310, decode.loss_mask: 0.5463, decode.loss_dice: 0.8101, decode.d0.loss_cls: 1.3186, decode.d0.loss_mask: 0.5831, decode.d0.loss_dice: 0.8894, decode.d1.loss_cls: 0.4146, decode.d1.loss_mask: 0.5645, decode.d1.loss_dice: 0.8540, decode.d2.loss_cls: 0.3687, decode.d2.loss_mask: 0.5537, decode.d2.loss_dice: 0.8295, decode.d3.loss_cls: 0.3506, decode.d3.loss_mask: 0.5484, decode.d3.loss_dice: 0.8140, decode.d4.loss_cls: 0.3423, decode.d4.loss_mask: 0.5466, decode.d4.loss_dice: 0.8085, decode.d5.loss_cls: 0.3355, decode.d5.loss_mask: 0.5473, decode.d5.loss_dice: 0.8058, decode.d6.loss_cls: 0.3388, decode.d6.loss_mask: 0.5467, decode.d6.loss_dice: 0.8014, decode.d7.loss_cls: 0.3342, decode.d7.loss_mask: 0.5450, decode.d7.loss_dice: 0.8032, decode.d8.loss_cls: 0.3308, decode.d8.loss_mask: 0.5463, decode.d8.loss_dice: 0.8052, loss: 18.2140, grad_norm: 44.8631 2023-11-12 06:31:01,580 - mmseg - INFO - Iter [55100/160000] lr: 6.556e-05, eta: 14:46:37, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3435, decode.loss_mask: 0.5426, decode.loss_dice: 0.8155, decode.d0.loss_cls: 1.3352, decode.d0.loss_mask: 0.5765, decode.d0.loss_dice: 0.8948, decode.d1.loss_cls: 0.4243, decode.d1.loss_mask: 0.5640, decode.d1.loss_dice: 0.8650, decode.d2.loss_cls: 0.3824, decode.d2.loss_mask: 0.5503, decode.d2.loss_dice: 0.8369, decode.d3.loss_cls: 0.3604, decode.d3.loss_mask: 0.5477, decode.d3.loss_dice: 0.8211, decode.d4.loss_cls: 0.3511, decode.d4.loss_mask: 0.5514, decode.d4.loss_dice: 0.8199, decode.d5.loss_cls: 0.3453, decode.d5.loss_mask: 0.5459, decode.d5.loss_dice: 0.8169, decode.d6.loss_cls: 0.3494, decode.d6.loss_mask: 0.5427, decode.d6.loss_dice: 0.8133, decode.d7.loss_cls: 0.3479, decode.d7.loss_mask: 0.5410, decode.d7.loss_dice: 0.8123, decode.d8.loss_cls: 0.3405, decode.d8.loss_mask: 0.5437, decode.d8.loss_dice: 0.8160, loss: 18.3975, grad_norm: 45.8251 2023-11-12 06:31:25,373 - mmseg - INFO - Iter [55150/160000] lr: 6.553e-05, eta: 14:46:08, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3108, decode.loss_mask: 0.5462, decode.loss_dice: 0.7987, decode.d0.loss_cls: 1.2920, decode.d0.loss_mask: 0.5825, decode.d0.loss_dice: 0.8740, decode.d1.loss_cls: 0.3912, decode.d1.loss_mask: 0.5630, decode.d1.loss_dice: 0.8456, decode.d2.loss_cls: 0.3577, decode.d2.loss_mask: 0.5544, decode.d2.loss_dice: 0.8125, decode.d3.loss_cls: 0.3329, decode.d3.loss_mask: 0.5478, decode.d3.loss_dice: 0.7976, decode.d4.loss_cls: 0.3202, decode.d4.loss_mask: 0.5482, decode.d4.loss_dice: 0.8000, decode.d5.loss_cls: 0.3182, decode.d5.loss_mask: 0.5480, decode.d5.loss_dice: 0.8005, decode.d6.loss_cls: 0.3165, decode.d6.loss_mask: 0.5471, decode.d6.loss_dice: 0.7930, decode.d7.loss_cls: 0.3073, decode.d7.loss_mask: 0.5451, decode.d7.loss_dice: 0.7974, decode.d8.loss_cls: 0.3051, decode.d8.loss_mask: 0.5486, decode.d8.loss_dice: 0.8015, loss: 17.9035, grad_norm: 53.0978 2023-11-12 06:31:49,221 - mmseg - INFO - Iter [55200/160000] lr: 6.550e-05, eta: 14:45:40, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3321, decode.loss_mask: 0.5380, decode.loss_dice: 0.8198, decode.d0.loss_cls: 1.3224, decode.d0.loss_mask: 0.5652, decode.d0.loss_dice: 0.8985, decode.d1.loss_cls: 0.4108, decode.d1.loss_mask: 0.5560, decode.d1.loss_dice: 0.8668, decode.d2.loss_cls: 0.3742, decode.d2.loss_mask: 0.5438, decode.d2.loss_dice: 0.8420, decode.d3.loss_cls: 0.3599, decode.d3.loss_mask: 0.5380, decode.d3.loss_dice: 0.8257, decode.d4.loss_cls: 0.3498, decode.d4.loss_mask: 0.5372, decode.d4.loss_dice: 0.8275, decode.d5.loss_cls: 0.3494, decode.d5.loss_mask: 0.5391, decode.d5.loss_dice: 0.8256, decode.d6.loss_cls: 0.3392, decode.d6.loss_mask: 0.5352, decode.d6.loss_dice: 0.8188, decode.d7.loss_cls: 0.3404, decode.d7.loss_mask: 0.5360, decode.d7.loss_dice: 0.8182, decode.d8.loss_cls: 0.3377, decode.d8.loss_mask: 0.5352, decode.d8.loss_dice: 0.8204, loss: 18.3031, grad_norm: 48.1069 2023-11-12 06:32:12,935 - mmseg - INFO - Iter [55250/160000] lr: 6.547e-05, eta: 14:45:12, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3246, decode.loss_mask: 0.5455, decode.loss_dice: 0.7911, decode.d0.loss_cls: 1.3372, decode.d0.loss_mask: 0.5806, decode.d0.loss_dice: 0.8610, decode.d1.loss_cls: 0.4185, decode.d1.loss_mask: 0.5643, decode.d1.loss_dice: 0.8244, decode.d2.loss_cls: 0.3644, decode.d2.loss_mask: 0.5521, decode.d2.loss_dice: 0.8060, decode.d3.loss_cls: 0.3422, decode.d3.loss_mask: 0.5468, decode.d3.loss_dice: 0.7938, decode.d4.loss_cls: 0.3302, decode.d4.loss_mask: 0.5463, decode.d4.loss_dice: 0.7957, decode.d5.loss_cls: 0.3280, decode.d5.loss_mask: 0.5472, decode.d5.loss_dice: 0.7944, decode.d6.loss_cls: 0.3288, decode.d6.loss_mask: 0.5466, decode.d6.loss_dice: 0.7859, decode.d7.loss_cls: 0.3283, decode.d7.loss_mask: 0.5458, decode.d7.loss_dice: 0.7903, decode.d8.loss_cls: 0.3238, decode.d8.loss_mask: 0.5465, decode.d8.loss_dice: 0.7909, loss: 17.9811, grad_norm: 46.1728 2023-11-12 06:32:36,872 - mmseg - INFO - Iter [55300/160000] lr: 6.544e-05, eta: 14:44:44, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3228, decode.loss_mask: 0.5531, decode.loss_dice: 0.8161, decode.d0.loss_cls: 1.3568, decode.d0.loss_mask: 0.5919, decode.d0.loss_dice: 0.8930, decode.d1.loss_cls: 0.4176, decode.d1.loss_mask: 0.5767, decode.d1.loss_dice: 0.8646, decode.d2.loss_cls: 0.3680, decode.d2.loss_mask: 0.5620, decode.d2.loss_dice: 0.8403, decode.d3.loss_cls: 0.3385, decode.d3.loss_mask: 0.5550, decode.d3.loss_dice: 0.8262, decode.d4.loss_cls: 0.3305, decode.d4.loss_mask: 0.5540, decode.d4.loss_dice: 0.8237, decode.d5.loss_cls: 0.3204, decode.d5.loss_mask: 0.5555, decode.d5.loss_dice: 0.8232, decode.d6.loss_cls: 0.3288, decode.d6.loss_mask: 0.5531, decode.d6.loss_dice: 0.8195, decode.d7.loss_cls: 0.3252, decode.d7.loss_mask: 0.5532, decode.d7.loss_dice: 0.8147, decode.d8.loss_cls: 0.3193, decode.d8.loss_mask: 0.5532, decode.d8.loss_dice: 0.8180, loss: 18.3749, grad_norm: 47.6084 2023-11-12 06:33:00,682 - mmseg - INFO - Iter [55350/160000] lr: 6.541e-05, eta: 14:44:15, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3266, decode.loss_mask: 0.5470, decode.loss_dice: 0.8160, decode.d0.loss_cls: 1.3491, decode.d0.loss_mask: 0.5908, decode.d0.loss_dice: 0.8892, decode.d1.loss_cls: 0.4194, decode.d1.loss_mask: 0.5665, decode.d1.loss_dice: 0.8595, decode.d2.loss_cls: 0.3717, decode.d2.loss_mask: 0.5551, decode.d2.loss_dice: 0.8348, decode.d3.loss_cls: 0.3528, decode.d3.loss_mask: 0.5527, decode.d3.loss_dice: 0.8184, decode.d4.loss_cls: 0.3444, decode.d4.loss_mask: 0.5496, decode.d4.loss_dice: 0.8198, decode.d5.loss_cls: 0.3394, decode.d5.loss_mask: 0.5499, decode.d5.loss_dice: 0.8233, decode.d6.loss_cls: 0.3446, decode.d6.loss_mask: 0.5487, decode.d6.loss_dice: 0.8113, decode.d7.loss_cls: 0.3292, decode.d7.loss_mask: 0.5480, decode.d7.loss_dice: 0.8179, decode.d8.loss_cls: 0.3275, decode.d8.loss_mask: 0.5505, decode.d8.loss_dice: 0.8196, loss: 18.3734, grad_norm: 50.4256 2023-11-12 06:33:24,568 - mmseg - INFO - Iter [55400/160000] lr: 6.538e-05, eta: 14:43:47, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3365, decode.loss_mask: 0.5282, decode.loss_dice: 0.8047, decode.d0.loss_cls: 1.3424, decode.d0.loss_mask: 0.5595, decode.d0.loss_dice: 0.8827, decode.d1.loss_cls: 0.4187, decode.d1.loss_mask: 0.5468, decode.d1.loss_dice: 0.8396, decode.d2.loss_cls: 0.3685, decode.d2.loss_mask: 0.5333, decode.d2.loss_dice: 0.8255, decode.d3.loss_cls: 0.3555, decode.d3.loss_mask: 0.5330, decode.d3.loss_dice: 0.8060, decode.d4.loss_cls: 0.3495, decode.d4.loss_mask: 0.5323, decode.d4.loss_dice: 0.8062, decode.d5.loss_cls: 0.3385, decode.d5.loss_mask: 0.5272, decode.d5.loss_dice: 0.8055, decode.d6.loss_cls: 0.3378, decode.d6.loss_mask: 0.5270, decode.d6.loss_dice: 0.8018, decode.d7.loss_cls: 0.3345, decode.d7.loss_mask: 0.5284, decode.d7.loss_dice: 0.8040, decode.d8.loss_cls: 0.3343, decode.d8.loss_mask: 0.5271, decode.d8.loss_dice: 0.8000, loss: 18.0348, grad_norm: 47.9051 2023-11-12 06:33:48,749 - mmseg - INFO - Iter [55450/160000] lr: 6.534e-05, eta: 14:43:20, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3161, decode.loss_mask: 0.5404, decode.loss_dice: 0.8076, decode.d0.loss_cls: 1.3241, decode.d0.loss_mask: 0.5737, decode.d0.loss_dice: 0.8967, decode.d1.loss_cls: 0.4042, decode.d1.loss_mask: 0.5576, decode.d1.loss_dice: 0.8608, decode.d2.loss_cls: 0.3466, decode.d2.loss_mask: 0.5518, decode.d2.loss_dice: 0.8323, decode.d3.loss_cls: 0.3392, decode.d3.loss_mask: 0.5447, decode.d3.loss_dice: 0.8220, decode.d4.loss_cls: 0.3342, decode.d4.loss_mask: 0.5412, decode.d4.loss_dice: 0.8142, decode.d5.loss_cls: 0.3301, decode.d5.loss_mask: 0.5399, decode.d5.loss_dice: 0.8138, decode.d6.loss_cls: 0.3245, decode.d6.loss_mask: 0.5401, decode.d6.loss_dice: 0.8102, decode.d7.loss_cls: 0.3237, decode.d7.loss_mask: 0.5420, decode.d7.loss_dice: 0.8090, decode.d8.loss_cls: 0.3191, decode.d8.loss_mask: 0.5419, decode.d8.loss_dice: 0.8114, loss: 18.1129, grad_norm: 47.4225 2023-11-12 06:34:13,915 - mmseg - INFO - Iter [55500/160000] lr: 6.531e-05, eta: 14:42:54, time: 0.503, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3357, decode.loss_mask: 0.5247, decode.loss_dice: 0.8107, decode.d0.loss_cls: 1.3265, decode.d0.loss_mask: 0.5629, decode.d0.loss_dice: 0.8889, decode.d1.loss_cls: 0.4016, decode.d1.loss_mask: 0.5429, decode.d1.loss_dice: 0.8559, decode.d2.loss_cls: 0.3735, decode.d2.loss_mask: 0.5298, decode.d2.loss_dice: 0.8348, decode.d3.loss_cls: 0.3600, decode.d3.loss_mask: 0.5277, decode.d3.loss_dice: 0.8149, decode.d4.loss_cls: 0.3464, decode.d4.loss_mask: 0.5274, decode.d4.loss_dice: 0.8169, decode.d5.loss_cls: 0.3434, decode.d5.loss_mask: 0.5273, decode.d5.loss_dice: 0.8187, decode.d6.loss_cls: 0.3426, decode.d6.loss_mask: 0.5263, decode.d6.loss_dice: 0.8082, decode.d7.loss_cls: 0.3332, decode.d7.loss_mask: 0.5263, decode.d7.loss_dice: 0.8130, decode.d8.loss_cls: 0.3352, decode.d8.loss_mask: 0.5238, decode.d8.loss_dice: 0.8118, loss: 18.0911, grad_norm: 46.4908 2023-11-12 06:34:38,812 - mmseg - INFO - Iter [55550/160000] lr: 6.528e-05, eta: 14:42:28, time: 0.498, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3504, decode.loss_mask: 0.5374, decode.loss_dice: 0.8054, decode.d0.loss_cls: 1.3610, decode.d0.loss_mask: 0.5818, decode.d0.loss_dice: 0.8904, decode.d1.loss_cls: 0.4234, decode.d1.loss_mask: 0.5636, decode.d1.loss_dice: 0.8583, decode.d2.loss_cls: 0.3870, decode.d2.loss_mask: 0.5488, decode.d2.loss_dice: 0.8247, decode.d3.loss_cls: 0.3705, decode.d3.loss_mask: 0.5446, decode.d3.loss_dice: 0.8074, decode.d4.loss_cls: 0.3575, decode.d4.loss_mask: 0.5411, decode.d4.loss_dice: 0.8104, decode.d5.loss_cls: 0.3502, decode.d5.loss_mask: 0.5417, decode.d5.loss_dice: 0.8098, decode.d6.loss_cls: 0.3551, decode.d6.loss_mask: 0.5376, decode.d6.loss_dice: 0.8043, decode.d7.loss_cls: 0.3500, decode.d7.loss_mask: 0.5393, decode.d7.loss_dice: 0.8097, decode.d8.loss_cls: 0.3503, decode.d8.loss_mask: 0.5391, decode.d8.loss_dice: 0.8073, loss: 18.3581, grad_norm: 50.1589 2023-11-12 06:35:05,090 - mmseg - INFO - Iter [55600/160000] lr: 6.525e-05, eta: 14:42:04, time: 0.526, data_time: 0.059, memory: 41146, decode.loss_cls: 0.3307, decode.loss_mask: 0.5394, decode.loss_dice: 0.7898, decode.d0.loss_cls: 1.3266, decode.d0.loss_mask: 0.5786, decode.d0.loss_dice: 0.8694, decode.d1.loss_cls: 0.4016, decode.d1.loss_mask: 0.5614, decode.d1.loss_dice: 0.8390, decode.d2.loss_cls: 0.3666, decode.d2.loss_mask: 0.5484, decode.d2.loss_dice: 0.8137, decode.d3.loss_cls: 0.3541, decode.d3.loss_mask: 0.5418, decode.d3.loss_dice: 0.7973, decode.d4.loss_cls: 0.3421, decode.d4.loss_mask: 0.5401, decode.d4.loss_dice: 0.7935, decode.d5.loss_cls: 0.3410, decode.d5.loss_mask: 0.5405, decode.d5.loss_dice: 0.7918, decode.d6.loss_cls: 0.3368, decode.d6.loss_mask: 0.5373, decode.d6.loss_dice: 0.7875, decode.d7.loss_cls: 0.3282, decode.d7.loss_mask: 0.5425, decode.d7.loss_dice: 0.7913, decode.d8.loss_cls: 0.3257, decode.d8.loss_mask: 0.5407, decode.d8.loss_dice: 0.7924, loss: 17.9897, grad_norm: 46.7089 2023-11-12 06:35:28,863 - mmseg - INFO - Iter [55650/160000] lr: 6.522e-05, eta: 14:41:36, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3120, decode.loss_mask: 0.5418, decode.loss_dice: 0.7945, decode.d0.loss_cls: 1.3166, decode.d0.loss_mask: 0.5807, decode.d0.loss_dice: 0.8767, decode.d1.loss_cls: 0.3971, decode.d1.loss_mask: 0.5615, decode.d1.loss_dice: 0.8409, decode.d2.loss_cls: 0.3461, decode.d2.loss_mask: 0.5473, decode.d2.loss_dice: 0.8214, decode.d3.loss_cls: 0.3356, decode.d3.loss_mask: 0.5428, decode.d3.loss_dice: 0.7982, decode.d4.loss_cls: 0.3242, decode.d4.loss_mask: 0.5417, decode.d4.loss_dice: 0.8002, decode.d5.loss_cls: 0.3260, decode.d5.loss_mask: 0.5404, decode.d5.loss_dice: 0.7965, decode.d6.loss_cls: 0.3203, decode.d6.loss_mask: 0.5393, decode.d6.loss_dice: 0.7917, decode.d7.loss_cls: 0.3171, decode.d7.loss_mask: 0.5408, decode.d7.loss_dice: 0.7972, decode.d8.loss_cls: 0.3129, decode.d8.loss_mask: 0.5386, decode.d8.loss_dice: 0.7949, loss: 17.8949, grad_norm: 49.6489 2023-11-12 06:35:53,024 - mmseg - INFO - Iter [55700/160000] lr: 6.519e-05, eta: 14:41:08, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3140, decode.loss_mask: 0.5150, decode.loss_dice: 0.7960, decode.d0.loss_cls: 1.3179, decode.d0.loss_mask: 0.5486, decode.d0.loss_dice: 0.8701, decode.d1.loss_cls: 0.3987, decode.d1.loss_mask: 0.5277, decode.d1.loss_dice: 0.8286, decode.d2.loss_cls: 0.3564, decode.d2.loss_mask: 0.5193, decode.d2.loss_dice: 0.8076, decode.d3.loss_cls: 0.3433, decode.d3.loss_mask: 0.5167, decode.d3.loss_dice: 0.7993, decode.d4.loss_cls: 0.3344, decode.d4.loss_mask: 0.5160, decode.d4.loss_dice: 0.7991, decode.d5.loss_cls: 0.3282, decode.d5.loss_mask: 0.5146, decode.d5.loss_dice: 0.7958, decode.d6.loss_cls: 0.3259, decode.d6.loss_mask: 0.5149, decode.d6.loss_dice: 0.7940, decode.d7.loss_cls: 0.3199, decode.d7.loss_mask: 0.5148, decode.d7.loss_dice: 0.7958, decode.d8.loss_cls: 0.3175, decode.d8.loss_mask: 0.5148, decode.d8.loss_dice: 0.7967, loss: 17.6417, grad_norm: 49.9879 2023-11-12 06:36:17,027 - mmseg - INFO - Iter [55750/160000] lr: 6.516e-05, eta: 14:40:40, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3019, decode.loss_mask: 0.5193, decode.loss_dice: 0.7856, decode.d0.loss_cls: 1.2900, decode.d0.loss_mask: 0.5542, decode.d0.loss_dice: 0.8755, decode.d1.loss_cls: 0.3697, decode.d1.loss_mask: 0.5359, decode.d1.loss_dice: 0.8320, decode.d2.loss_cls: 0.3316, decode.d2.loss_mask: 0.5239, decode.d2.loss_dice: 0.8163, decode.d3.loss_cls: 0.3147, decode.d3.loss_mask: 0.5224, decode.d3.loss_dice: 0.7990, decode.d4.loss_cls: 0.3099, decode.d4.loss_mask: 0.5219, decode.d4.loss_dice: 0.7929, decode.d5.loss_cls: 0.3081, decode.d5.loss_mask: 0.5196, decode.d5.loss_dice: 0.7956, decode.d6.loss_cls: 0.3014, decode.d6.loss_mask: 0.5207, decode.d6.loss_dice: 0.7948, decode.d7.loss_cls: 0.3032, decode.d7.loss_mask: 0.5209, decode.d7.loss_dice: 0.7894, decode.d8.loss_cls: 0.3010, decode.d8.loss_mask: 0.5206, decode.d8.loss_dice: 0.7885, loss: 17.4603, grad_norm: 46.3342 2023-11-12 06:36:40,971 - mmseg - INFO - Iter [55800/160000] lr: 6.513e-05, eta: 14:40:13, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3013, decode.loss_mask: 0.5367, decode.loss_dice: 0.7927, decode.d0.loss_cls: 1.3141, decode.d0.loss_mask: 0.5731, decode.d0.loss_dice: 0.8786, decode.d1.loss_cls: 0.3788, decode.d1.loss_mask: 0.5611, decode.d1.loss_dice: 0.8488, decode.d2.loss_cls: 0.3389, decode.d2.loss_mask: 0.5439, decode.d2.loss_dice: 0.8151, decode.d3.loss_cls: 0.3188, decode.d3.loss_mask: 0.5352, decode.d3.loss_dice: 0.8015, decode.d4.loss_cls: 0.3171, decode.d4.loss_mask: 0.5358, decode.d4.loss_dice: 0.7976, decode.d5.loss_cls: 0.3090, decode.d5.loss_mask: 0.5367, decode.d5.loss_dice: 0.7952, decode.d6.loss_cls: 0.3067, decode.d6.loss_mask: 0.5355, decode.d6.loss_dice: 0.7930, decode.d7.loss_cls: 0.3048, decode.d7.loss_mask: 0.5369, decode.d7.loss_dice: 0.7969, decode.d8.loss_cls: 0.3009, decode.d8.loss_mask: 0.5372, decode.d8.loss_dice: 0.7913, loss: 17.7332, grad_norm: 48.6882 2023-11-12 06:37:05,228 - mmseg - INFO - Iter [55850/160000] lr: 6.509e-05, eta: 14:39:45, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3068, decode.loss_mask: 0.5343, decode.loss_dice: 0.7605, decode.d0.loss_cls: 1.2947, decode.d0.loss_mask: 0.5665, decode.d0.loss_dice: 0.8299, decode.d1.loss_cls: 0.3808, decode.d1.loss_mask: 0.5532, decode.d1.loss_dice: 0.8004, decode.d2.loss_cls: 0.3365, decode.d2.loss_mask: 0.5367, decode.d2.loss_dice: 0.7774, decode.d3.loss_cls: 0.3288, decode.d3.loss_mask: 0.5341, decode.d3.loss_dice: 0.7637, decode.d4.loss_cls: 0.3151, decode.d4.loss_mask: 0.5320, decode.d4.loss_dice: 0.7662, decode.d5.loss_cls: 0.3130, decode.d5.loss_mask: 0.5352, decode.d5.loss_dice: 0.7600, decode.d6.loss_cls: 0.3086, decode.d6.loss_mask: 0.5330, decode.d6.loss_dice: 0.7605, decode.d7.loss_cls: 0.3060, decode.d7.loss_mask: 0.5336, decode.d7.loss_dice: 0.7617, decode.d8.loss_cls: 0.3057, decode.d8.loss_mask: 0.5328, decode.d8.loss_dice: 0.7602, loss: 17.3280, grad_norm: 47.0406 2023-11-12 06:37:29,587 - mmseg - INFO - Iter [55900/160000] lr: 6.506e-05, eta: 14:39:18, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3222, decode.loss_mask: 0.5365, decode.loss_dice: 0.8210, decode.d0.loss_cls: 1.3160, decode.d0.loss_mask: 0.5645, decode.d0.loss_dice: 0.8926, decode.d1.loss_cls: 0.4163, decode.d1.loss_mask: 0.5510, decode.d1.loss_dice: 0.8615, decode.d2.loss_cls: 0.3679, decode.d2.loss_mask: 0.5424, decode.d2.loss_dice: 0.8379, decode.d3.loss_cls: 0.3426, decode.d3.loss_mask: 0.5410, decode.d3.loss_dice: 0.8231, decode.d4.loss_cls: 0.3374, decode.d4.loss_mask: 0.5395, decode.d4.loss_dice: 0.8256, decode.d5.loss_cls: 0.3273, decode.d5.loss_mask: 0.5381, decode.d5.loss_dice: 0.8223, decode.d6.loss_cls: 0.3264, decode.d6.loss_mask: 0.5364, decode.d6.loss_dice: 0.8159, decode.d7.loss_cls: 0.3245, decode.d7.loss_mask: 0.5391, decode.d7.loss_dice: 0.8195, decode.d8.loss_cls: 0.3241, decode.d8.loss_mask: 0.5385, decode.d8.loss_dice: 0.8210, loss: 18.1721, grad_norm: 46.9497 2023-11-12 06:37:53,809 - mmseg - INFO - Iter [55950/160000] lr: 6.503e-05, eta: 14:38:51, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3168, decode.loss_mask: 0.5153, decode.loss_dice: 0.7942, decode.d0.loss_cls: 1.3198, decode.d0.loss_mask: 0.5494, decode.d0.loss_dice: 0.8671, decode.d1.loss_cls: 0.3925, decode.d1.loss_mask: 0.5346, decode.d1.loss_dice: 0.8382, decode.d2.loss_cls: 0.3478, decode.d2.loss_mask: 0.5273, decode.d2.loss_dice: 0.8199, decode.d3.loss_cls: 0.3335, decode.d3.loss_mask: 0.5199, decode.d3.loss_dice: 0.8030, decode.d4.loss_cls: 0.3256, decode.d4.loss_mask: 0.5177, decode.d4.loss_dice: 0.8001, decode.d5.loss_cls: 0.3238, decode.d5.loss_mask: 0.5185, decode.d5.loss_dice: 0.7981, decode.d6.loss_cls: 0.3261, decode.d6.loss_mask: 0.5171, decode.d6.loss_dice: 0.7954, decode.d7.loss_cls: 0.3184, decode.d7.loss_mask: 0.5167, decode.d7.loss_dice: 0.7950, decode.d8.loss_cls: 0.3172, decode.d8.loss_mask: 0.5161, decode.d8.loss_dice: 0.7944, loss: 17.6595, grad_norm: 50.2432 2023-11-12 06:38:17,680 - mmseg - INFO - Saving checkpoint at 56000 iterations 2023-11-12 06:38:21,725 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 06:38:21,726 - mmseg - INFO - Iter [56000/160000] lr: 6.500e-05, eta: 14:38:30, time: 0.558, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3302, decode.loss_mask: 0.5262, decode.loss_dice: 0.7906, decode.d0.loss_cls: 1.3269, decode.d0.loss_mask: 0.5580, decode.d0.loss_dice: 0.8699, decode.d1.loss_cls: 0.4005, decode.d1.loss_mask: 0.5415, decode.d1.loss_dice: 0.8400, decode.d2.loss_cls: 0.3643, decode.d2.loss_mask: 0.5333, decode.d2.loss_dice: 0.8170, decode.d3.loss_cls: 0.3459, decode.d3.loss_mask: 0.5268, decode.d3.loss_dice: 0.8053, decode.d4.loss_cls: 0.3357, decode.d4.loss_mask: 0.5266, decode.d4.loss_dice: 0.7940, decode.d5.loss_cls: 0.3354, decode.d5.loss_mask: 0.5271, decode.d5.loss_dice: 0.7910, decode.d6.loss_cls: 0.3260, decode.d6.loss_mask: 0.5276, decode.d6.loss_dice: 0.7908, decode.d7.loss_cls: 0.3272, decode.d7.loss_mask: 0.5275, decode.d7.loss_dice: 0.7901, decode.d8.loss_cls: 0.3248, decode.d8.loss_mask: 0.5266, decode.d8.loss_dice: 0.7917, loss: 17.8185, grad_norm: 46.4725 2023-11-12 06:38:40,661 - mmseg - INFO - per class results: 2023-11-12 06:38:40,667 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.36 | 85.64 | | building | 83.03 | 91.57 | | sky | 94.7 | 97.08 | | floor | 83.95 | 89.55 | | tree | 75.65 | 88.27 | | ceiling | 84.99 | 91.57 | | road | 85.02 | 88.74 | | bed | 89.61 | 96.19 | | windowpane | 62.92 | 81.04 | | grass | 65.22 | 80.48 | | cabinet | 65.45 | 77.55 | | sidewalk | 65.8 | 84.62 | | person | 84.96 | 91.88 | | earth | 38.88 | 53.43 | | door | 48.87 | 76.47 | | table | 66.04 | 80.1 | | mountain | 64.35 | 74.16 | | plant | 53.89 | 67.56 | | curtain | 79.24 | 88.67 | | chair | 62.6 | 79.68 | | car | 87.02 | 93.03 | | water | 55.86 | 67.17 | | painting | 76.06 | 88.91 | | sofa | 70.22 | 84.61 | | shelf | 44.4 | 68.82 | | house | 44.32 | 59.41 | | sea | 60.14 | 84.1 | | mirror | 67.56 | 80.96 | | rug | 73.3 | 82.94 | | field | 27.08 | 49.34 | | armchair | 46.36 | 65.35 | | seat | 60.48 | 85.62 | | fence | 46.08 | 67.04 | | desk | 46.82 | 68.19 | | rock | 50.66 | 77.74 | | wardrobe | 44.93 | 61.77 | | lamp | 69.9 | 83.83 | | bathtub | 83.43 | 91.79 | | railing | 32.44 | 55.15 | | cushion | 65.32 | 78.33 | | base | 35.07 | 68.75 | | box | 30.05 | 43.72 | | column | 46.42 | 59.51 | | signboard | 38.74 | 53.42 | | chest of drawers | 42.93 | 56.69 | | counter | 40.56 | 53.46 | | sand | 34.55 | 55.35 | | sink | 78.88 | 85.14 | | skyscraper | 31.39 | 38.29 | | fireplace | 71.9 | 94.41 | | refrigerator | 79.97 | 90.43 | | grandstand | 41.55 | 70.97 | | path | 20.39 | 36.8 | | stairs | 32.57 | 46.52 | | runway | 76.71 | 89.41 | | case | 65.67 | 77.28 | | pool table | 94.36 | 97.33 | | pillow | 59.28 | 72.85 | | screen door | 56.28 | 64.83 | | stairway | 29.95 | 36.57 | | river | 19.77 | 28.42 | | bridge | 78.21 | 88.81 | | bookcase | 34.03 | 59.39 | | blind | 48.76 | 57.0 | | coffee table | 60.37 | 83.97 | | toilet | 87.4 | 91.87 | | flower | 39.48 | 50.97 | | book | 48.54 | 69.9 | | hill | 6.22 | 13.29 | | bench | 55.94 | 73.86 | | countertop | 56.31 | 75.27 | | stove | 78.46 | 84.31 | | palm | 56.12 | 74.79 | | kitchen island | 51.47 | 71.36 | | computer | 71.4 | 77.97 | | swivel chair | 44.73 | 56.91 | | boat | 42.59 | 55.09 | | bar | 50.16 | 62.63 | | arcade machine | 74.33 | 78.81 | | hovel | 29.24 | 45.03 | | bus | 91.92 | 96.46 | | towel | 71.58 | 81.7 | | light | 61.01 | 76.5 | | truck | 43.03 | 58.8 | | tower | 33.27 | 60.06 | | chandelier | 70.99 | 83.67 | | awning | 38.13 | 47.16 | | streetlight | 43.95 | 64.55 | | booth | 44.45 | 47.06 | | television receiver | 70.29 | 82.91 | | airplane | 70.5 | 77.28 | | dirt track | 20.17 | 34.43 | | apparel | 31.48 | 46.1 | | pole | 35.14 | 53.71 | | land | 3.73 | 10.16 | | bannister | 20.51 | 31.19 | | escalator | 58.29 | 68.2 | | ottoman | 58.21 | 70.59 | | bottle | 27.1 | 35.86 | | buffet | 45.21 | 54.62 | | poster | 18.31 | 26.99 | | stage | 15.98 | 34.65 | | van | 49.76 | 70.87 | | ship | 7.29 | 10.76 | | fountain | 18.52 | 21.77 | | conveyer belt | 43.23 | 65.53 | | canopy | 39.0 | 66.59 | | washer | 71.81 | 74.67 | | plaything | 48.58 | 65.93 | | swimming pool | 58.59 | 58.74 | | stool | 57.66 | 75.04 | | barrel | 66.75 | 97.76 | | basket | 43.19 | 59.17 | | waterfall | 39.4 | 59.03 | | tent | 94.61 | 98.05 | | bag | 23.7 | 29.67 | | minibike | 74.71 | 91.14 | | cradle | 86.01 | 97.22 | | oven | 25.77 | 81.99 | | ball | 22.77 | 26.23 | | food | 60.62 | 76.64 | | step | 14.24 | 25.07 | | tank | 45.3 | 65.69 | | trade name | 28.82 | 36.8 | | microwave | 39.25 | 41.32 | | pot | 49.98 | 60.84 | | animal | 59.97 | 61.46 | | bicycle | 61.86 | 79.08 | | lake | 38.25 | 70.69 | | dishwasher | 77.66 | 89.27 | | screen | 64.02 | 88.81 | | blanket | 24.84 | 34.55 | | sculpture | 61.27 | 87.86 | | hood | 62.48 | 75.74 | | sconce | 54.76 | 69.98 | | vase | 49.37 | 71.93 | | traffic light | 40.19 | 69.4 | | tray | 26.92 | 43.69 | | ashcan | 49.3 | 65.45 | | fan | 68.15 | 84.86 | | pier | 28.32 | 43.8 | | crt screen | 2.96 | 8.09 | | plate | 61.42 | 78.65 | | monitor | 9.38 | 12.48 | | bulletin board | 43.12 | 52.42 | | shower | 3.24 | 24.39 | | radiator | 76.24 | 88.46 | | glass | 22.25 | 26.05 | | clock | 46.71 | 70.49 | | flag | 44.41 | 54.27 | +---------------------+-------+-------+ 2023-11-12 06:38:40,667 - mmseg - INFO - Summary: 2023-11-12 06:38:40,667 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.73 | 51.91 | 66.01 | +-------+-------+-------+ 2023-11-12 06:38:40,693 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_40000.pth was removed 2023-11-12 06:38:44,153 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_56000.pth. 2023-11-12 06:38:44,153 - mmseg - INFO - Best mIoU is 0.5191 at 56000 iter. 2023-11-12 06:38:44,153 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 06:38:44,154 - mmseg - INFO - Iter(val) [250] aAcc: 0.8373, mIoU: 0.5191, mAcc: 0.6601, IoU.wall: 0.7836, IoU.building: 0.8303, IoU.sky: 0.9470, IoU.floor: 0.8395, IoU.tree: 0.7565, IoU.ceiling: 0.8499, IoU.road: 0.8502, IoU.bed : 0.8961, IoU.windowpane: 0.6292, IoU.grass: 0.6522, IoU.cabinet: 0.6545, IoU.sidewalk: 0.6580, IoU.person: 0.8496, IoU.earth: 0.3888, IoU.door: 0.4887, IoU.table: 0.6604, IoU.mountain: 0.6435, IoU.plant: 0.5389, IoU.curtain: 0.7924, IoU.chair: 0.6260, IoU.car: 0.8702, IoU.water: 0.5586, IoU.painting: 0.7606, IoU.sofa: 0.7022, IoU.shelf: 0.4440, IoU.house: 0.4432, IoU.sea: 0.6014, IoU.mirror: 0.6756, IoU.rug: 0.7330, IoU.field: 0.2708, IoU.armchair: 0.4636, IoU.seat: 0.6048, IoU.fence: 0.4608, IoU.desk: 0.4682, IoU.rock: 0.5066, IoU.wardrobe: 0.4493, IoU.lamp: 0.6990, IoU.bathtub: 0.8343, IoU.railing: 0.3244, IoU.cushion: 0.6532, IoU.base: 0.3507, IoU.box: 0.3005, IoU.column: 0.4642, IoU.signboard: 0.3874, IoU.chest of drawers: 0.4293, IoU.counter: 0.4056, IoU.sand: 0.3455, IoU.sink: 0.7888, IoU.skyscraper: 0.3139, IoU.fireplace: 0.7190, IoU.refrigerator: 0.7997, IoU.grandstand: 0.4155, IoU.path: 0.2039, IoU.stairs: 0.3257, IoU.runway: 0.7671, IoU.case: 0.6567, IoU.pool table: 0.9436, IoU.pillow: 0.5928, IoU.screen door: 0.5628, IoU.stairway: 0.2995, IoU.river: 0.1977, IoU.bridge: 0.7821, IoU.bookcase: 0.3403, IoU.blind: 0.4876, IoU.coffee table: 0.6037, IoU.toilet: 0.8740, IoU.flower: 0.3948, IoU.book: 0.4854, IoU.hill: 0.0622, IoU.bench: 0.5594, IoU.countertop: 0.5631, IoU.stove: 0.7846, IoU.palm: 0.5612, IoU.kitchen island: 0.5147, IoU.computer: 0.7140, IoU.swivel chair: 0.4473, IoU.boat: 0.4259, IoU.bar: 0.5016, IoU.arcade machine: 0.7433, IoU.hovel: 0.2924, IoU.bus: 0.9192, IoU.towel: 0.7158, IoU.light: 0.6101, IoU.truck: 0.4303, IoU.tower: 0.3327, IoU.chandelier: 0.7099, IoU.awning: 0.3813, IoU.streetlight: 0.4395, IoU.booth: 0.4445, IoU.television receiver: 0.7029, IoU.airplane: 0.7050, IoU.dirt track: 0.2017, IoU.apparel: 0.3148, IoU.pole: 0.3514, IoU.land: 0.0373, IoU.bannister: 0.2051, IoU.escalator: 0.5829, IoU.ottoman: 0.5821, IoU.bottle: 0.2710, IoU.buffet: 0.4521, IoU.poster: 0.1831, IoU.stage: 0.1598, IoU.van: 0.4976, IoU.ship: 0.0729, IoU.fountain: 0.1852, IoU.conveyer belt: 0.4323, IoU.canopy: 0.3900, IoU.washer: 0.7181, IoU.plaything: 0.4858, IoU.swimming pool: 0.5859, IoU.stool: 0.5766, IoU.barrel: 0.6675, IoU.basket: 0.4319, IoU.waterfall: 0.3940, IoU.tent: 0.9461, IoU.bag: 0.2370, IoU.minibike: 0.7471, IoU.cradle: 0.8601, IoU.oven: 0.2577, IoU.ball: 0.2277, IoU.food: 0.6062, IoU.step: 0.1424, IoU.tank: 0.4530, IoU.trade name: 0.2882, IoU.microwave: 0.3925, IoU.pot: 0.4998, IoU.animal: 0.5997, IoU.bicycle: 0.6186, IoU.lake: 0.3825, IoU.dishwasher: 0.7766, IoU.screen: 0.6402, IoU.blanket: 0.2484, IoU.sculpture: 0.6127, IoU.hood: 0.6248, IoU.sconce: 0.5476, IoU.vase: 0.4937, IoU.traffic light: 0.4019, IoU.tray: 0.2692, IoU.ashcan: 0.4930, IoU.fan: 0.6815, IoU.pier: 0.2832, IoU.crt screen: 0.0296, IoU.plate: 0.6142, IoU.monitor: 0.0938, IoU.bulletin board: 0.4312, IoU.shower: 0.0324, IoU.radiator: 0.7624, IoU.glass: 0.2225, IoU.clock: 0.4671, IoU.flag: 0.4441, Acc.wall: 0.8564, Acc.building: 0.9157, Acc.sky: 0.9708, Acc.floor: 0.8955, Acc.tree: 0.8827, Acc.ceiling: 0.9157, Acc.road: 0.8874, Acc.bed : 0.9619, Acc.windowpane: 0.8104, Acc.grass: 0.8048, Acc.cabinet: 0.7755, Acc.sidewalk: 0.8462, Acc.person: 0.9188, Acc.earth: 0.5343, Acc.door: 0.7647, Acc.table: 0.8010, Acc.mountain: 0.7416, Acc.plant: 0.6756, Acc.curtain: 0.8867, Acc.chair: 0.7968, Acc.car: 0.9303, Acc.water: 0.6717, Acc.painting: 0.8891, Acc.sofa: 0.8461, Acc.shelf: 0.6882, Acc.house: 0.5941, Acc.sea: 0.8410, Acc.mirror: 0.8096, Acc.rug: 0.8294, Acc.field: 0.4934, Acc.armchair: 0.6535, Acc.seat: 0.8562, Acc.fence: 0.6704, Acc.desk: 0.6819, Acc.rock: 0.7774, Acc.wardrobe: 0.6177, Acc.lamp: 0.8383, Acc.bathtub: 0.9179, Acc.railing: 0.5515, Acc.cushion: 0.7833, Acc.base: 0.6875, Acc.box: 0.4372, Acc.column: 0.5951, Acc.signboard: 0.5342, Acc.chest of drawers: 0.5669, Acc.counter: 0.5346, Acc.sand: 0.5535, Acc.sink: 0.8514, Acc.skyscraper: 0.3829, Acc.fireplace: 0.9441, Acc.refrigerator: 0.9043, Acc.grandstand: 0.7097, Acc.path: 0.3680, Acc.stairs: 0.4652, Acc.runway: 0.8941, Acc.case: 0.7728, Acc.pool table: 0.9733, Acc.pillow: 0.7285, Acc.screen door: 0.6483, Acc.stairway: 0.3657, Acc.river: 0.2842, Acc.bridge: 0.8881, Acc.bookcase: 0.5939, Acc.blind: 0.5700, Acc.coffee table: 0.8397, Acc.toilet: 0.9187, Acc.flower: 0.5097, Acc.book: 0.6990, Acc.hill: 0.1329, Acc.bench: 0.7386, Acc.countertop: 0.7527, Acc.stove: 0.8431, Acc.palm: 0.7479, Acc.kitchen island: 0.7136, Acc.computer: 0.7797, Acc.swivel chair: 0.5691, Acc.boat: 0.5509, Acc.bar: 0.6263, Acc.arcade machine: 0.7881, Acc.hovel: 0.4503, Acc.bus: 0.9646, Acc.towel: 0.8170, Acc.light: 0.7650, Acc.truck: 0.5880, Acc.tower: 0.6006, Acc.chandelier: 0.8367, Acc.awning: 0.4716, Acc.streetlight: 0.6455, Acc.booth: 0.4706, Acc.television receiver: 0.8291, Acc.airplane: 0.7728, Acc.dirt track: 0.3443, Acc.apparel: 0.4610, Acc.pole: 0.5371, Acc.land: 0.1016, Acc.bannister: 0.3119, Acc.escalator: 0.6820, Acc.ottoman: 0.7059, Acc.bottle: 0.3586, Acc.buffet: 0.5462, Acc.poster: 0.2699, Acc.stage: 0.3465, Acc.van: 0.7087, Acc.ship: 0.1076, Acc.fountain: 0.2177, Acc.conveyer belt: 0.6553, Acc.canopy: 0.6659, Acc.washer: 0.7467, Acc.plaything: 0.6593, Acc.swimming pool: 0.5874, Acc.stool: 0.7504, Acc.barrel: 0.9776, Acc.basket: 0.5917, Acc.waterfall: 0.5903, Acc.tent: 0.9805, Acc.bag: 0.2967, Acc.minibike: 0.9114, Acc.cradle: 0.9722, Acc.oven: 0.8199, Acc.ball: 0.2623, Acc.food: 0.7664, Acc.step: 0.2507, Acc.tank: 0.6569, Acc.trade name: 0.3680, Acc.microwave: 0.4132, Acc.pot: 0.6084, Acc.animal: 0.6146, Acc.bicycle: 0.7908, Acc.lake: 0.7069, Acc.dishwasher: 0.8927, Acc.screen: 0.8881, Acc.blanket: 0.3455, Acc.sculpture: 0.8786, Acc.hood: 0.7574, Acc.sconce: 0.6998, Acc.vase: 0.7193, Acc.traffic light: 0.6940, Acc.tray: 0.4369, Acc.ashcan: 0.6545, Acc.fan: 0.8486, Acc.pier: 0.4380, Acc.crt screen: 0.0809, Acc.plate: 0.7865, Acc.monitor: 0.1248, Acc.bulletin board: 0.5242, Acc.shower: 0.2439, Acc.radiator: 0.8846, Acc.glass: 0.2605, Acc.clock: 0.7049, Acc.flag: 0.5427 2023-11-12 06:39:08,048 - mmseg - INFO - Iter [56050/160000] lr: 6.497e-05, eta: 14:38:44, time: 0.926, data_time: 0.462, memory: 41146, decode.loss_cls: 0.3054, decode.loss_mask: 0.5585, decode.loss_dice: 0.7912, decode.d0.loss_cls: 1.3153, decode.d0.loss_mask: 0.5979, decode.d0.loss_dice: 0.8658, decode.d1.loss_cls: 0.3870, decode.d1.loss_mask: 0.5709, decode.d1.loss_dice: 0.8330, decode.d2.loss_cls: 0.3383, decode.d2.loss_mask: 0.5677, decode.d2.loss_dice: 0.8122, decode.d3.loss_cls: 0.3221, decode.d3.loss_mask: 0.5595, decode.d3.loss_dice: 0.8001, decode.d4.loss_cls: 0.3143, decode.d4.loss_mask: 0.5606, decode.d4.loss_dice: 0.7962, decode.d5.loss_cls: 0.3124, decode.d5.loss_mask: 0.5578, decode.d5.loss_dice: 0.7949, decode.d6.loss_cls: 0.3120, decode.d6.loss_mask: 0.5581, decode.d6.loss_dice: 0.7943, decode.d7.loss_cls: 0.3027, decode.d7.loss_mask: 0.5580, decode.d7.loss_dice: 0.7945, decode.d8.loss_cls: 0.3019, decode.d8.loss_mask: 0.5561, decode.d8.loss_dice: 0.7942, loss: 17.9329, grad_norm: 46.4367 2023-11-12 06:39:31,932 - mmseg - INFO - Iter [56100/160000] lr: 6.494e-05, eta: 14:38:15, time: 0.477, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3384, decode.loss_mask: 0.5492, decode.loss_dice: 0.7963, decode.d0.loss_cls: 1.3452, decode.d0.loss_mask: 0.5844, decode.d0.loss_dice: 0.8726, decode.d1.loss_cls: 0.4168, decode.d1.loss_mask: 0.5657, decode.d1.loss_dice: 0.8480, decode.d2.loss_cls: 0.3640, decode.d2.loss_mask: 0.5565, decode.d2.loss_dice: 0.8270, decode.d3.loss_cls: 0.3563, decode.d3.loss_mask: 0.5501, decode.d3.loss_dice: 0.8102, decode.d4.loss_cls: 0.3502, decode.d4.loss_mask: 0.5499, decode.d4.loss_dice: 0.8126, decode.d5.loss_cls: 0.3466, decode.d5.loss_mask: 0.5523, decode.d5.loss_dice: 0.8071, decode.d6.loss_cls: 0.3439, decode.d6.loss_mask: 0.5490, decode.d6.loss_dice: 0.7984, decode.d7.loss_cls: 0.3393, decode.d7.loss_mask: 0.5503, decode.d7.loss_dice: 0.7994, decode.d8.loss_cls: 0.3390, decode.d8.loss_mask: 0.5485, decode.d8.loss_dice: 0.7992, loss: 18.2663, grad_norm: 51.6085 2023-11-12 06:39:55,836 - mmseg - INFO - Iter [56150/160000] lr: 6.491e-05, eta: 14:37:47, time: 0.479, data_time: 0.015, memory: 41146, decode.loss_cls: 0.3015, decode.loss_mask: 0.5559, decode.loss_dice: 0.7930, decode.d0.loss_cls: 1.2981, decode.d0.loss_mask: 0.5970, decode.d0.loss_dice: 0.8745, decode.d1.loss_cls: 0.3826, decode.d1.loss_mask: 0.5737, decode.d1.loss_dice: 0.8425, decode.d2.loss_cls: 0.3347, decode.d2.loss_mask: 0.5641, decode.d2.loss_dice: 0.8238, decode.d3.loss_cls: 0.3179, decode.d3.loss_mask: 0.5595, decode.d3.loss_dice: 0.8022, decode.d4.loss_cls: 0.3071, decode.d4.loss_mask: 0.5598, decode.d4.loss_dice: 0.8041, decode.d5.loss_cls: 0.3060, decode.d5.loss_mask: 0.5566, decode.d5.loss_dice: 0.8032, decode.d6.loss_cls: 0.3035, decode.d6.loss_mask: 0.5556, decode.d6.loss_dice: 0.7977, decode.d7.loss_cls: 0.2934, decode.d7.loss_mask: 0.5555, decode.d7.loss_dice: 0.7953, decode.d8.loss_cls: 0.2956, decode.d8.loss_mask: 0.5576, decode.d8.loss_dice: 0.7968, loss: 17.9088, grad_norm: 50.8107 2023-11-12 06:40:20,275 - mmseg - INFO - Iter [56200/160000] lr: 6.488e-05, eta: 14:37:20, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3213, decode.loss_mask: 0.5450, decode.loss_dice: 0.7921, decode.d0.loss_cls: 1.3087, decode.d0.loss_mask: 0.5729, decode.d0.loss_dice: 0.8728, decode.d1.loss_cls: 0.4066, decode.d1.loss_mask: 0.5617, decode.d1.loss_dice: 0.8390, decode.d2.loss_cls: 0.3672, decode.d2.loss_mask: 0.5500, decode.d2.loss_dice: 0.8115, decode.d3.loss_cls: 0.3374, decode.d3.loss_mask: 0.5493, decode.d3.loss_dice: 0.7975, decode.d4.loss_cls: 0.3315, decode.d4.loss_mask: 0.5459, decode.d4.loss_dice: 0.7991, decode.d5.loss_cls: 0.3285, decode.d5.loss_mask: 0.5437, decode.d5.loss_dice: 0.8026, decode.d6.loss_cls: 0.3258, decode.d6.loss_mask: 0.5445, decode.d6.loss_dice: 0.7919, decode.d7.loss_cls: 0.3159, decode.d7.loss_mask: 0.5460, decode.d7.loss_dice: 0.7920, decode.d8.loss_cls: 0.3187, decode.d8.loss_mask: 0.5441, decode.d8.loss_dice: 0.7945, loss: 17.9579, grad_norm: 45.1269 2023-11-12 06:40:44,816 - mmseg - INFO - Iter [56250/160000] lr: 6.484e-05, eta: 14:36:54, time: 0.491, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3182, decode.loss_mask: 0.5271, decode.loss_dice: 0.7984, decode.d0.loss_cls: 1.2902, decode.d0.loss_mask: 0.5631, decode.d0.loss_dice: 0.8820, decode.d1.loss_cls: 0.4015, decode.d1.loss_mask: 0.5509, decode.d1.loss_dice: 0.8483, decode.d2.loss_cls: 0.3497, decode.d2.loss_mask: 0.5428, decode.d2.loss_dice: 0.8255, decode.d3.loss_cls: 0.3328, decode.d3.loss_mask: 0.5338, decode.d3.loss_dice: 0.8060, decode.d4.loss_cls: 0.3287, decode.d4.loss_mask: 0.5354, decode.d4.loss_dice: 0.8082, decode.d5.loss_cls: 0.3236, decode.d5.loss_mask: 0.5311, decode.d5.loss_dice: 0.8077, decode.d6.loss_cls: 0.3247, decode.d6.loss_mask: 0.5304, decode.d6.loss_dice: 0.7956, decode.d7.loss_cls: 0.3148, decode.d7.loss_mask: 0.5330, decode.d7.loss_dice: 0.7972, decode.d8.loss_cls: 0.3184, decode.d8.loss_mask: 0.5294, decode.d8.loss_dice: 0.7987, loss: 17.8469, grad_norm: 47.7488 2023-11-12 06:41:09,068 - mmseg - INFO - Iter [56300/160000] lr: 6.481e-05, eta: 14:36:26, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3175, decode.loss_mask: 0.5219, decode.loss_dice: 0.7727, decode.d0.loss_cls: 1.3344, decode.d0.loss_mask: 0.5571, decode.d0.loss_dice: 0.8454, decode.d1.loss_cls: 0.4083, decode.d1.loss_mask: 0.5394, decode.d1.loss_dice: 0.8193, decode.d2.loss_cls: 0.3498, decode.d2.loss_mask: 0.5307, decode.d2.loss_dice: 0.7931, decode.d3.loss_cls: 0.3352, decode.d3.loss_mask: 0.5221, decode.d3.loss_dice: 0.7794, decode.d4.loss_cls: 0.3316, decode.d4.loss_mask: 0.5234, decode.d4.loss_dice: 0.7776, decode.d5.loss_cls: 0.3201, decode.d5.loss_mask: 0.5236, decode.d5.loss_dice: 0.7800, decode.d6.loss_cls: 0.3212, decode.d6.loss_mask: 0.5202, decode.d6.loss_dice: 0.7729, decode.d7.loss_cls: 0.3220, decode.d7.loss_mask: 0.5214, decode.d7.loss_dice: 0.7750, decode.d8.loss_cls: 0.3120, decode.d8.loss_mask: 0.5218, decode.d8.loss_dice: 0.7758, loss: 17.5248, grad_norm: 49.2721 2023-11-12 06:41:33,073 - mmseg - INFO - Iter [56350/160000] lr: 6.478e-05, eta: 14:35:58, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3248, decode.loss_mask: 0.5388, decode.loss_dice: 0.8072, decode.d0.loss_cls: 1.3548, decode.d0.loss_mask: 0.5690, decode.d0.loss_dice: 0.8836, decode.d1.loss_cls: 0.4149, decode.d1.loss_mask: 0.5564, decode.d1.loss_dice: 0.8515, decode.d2.loss_cls: 0.3639, decode.d2.loss_mask: 0.5454, decode.d2.loss_dice: 0.8319, decode.d3.loss_cls: 0.3426, decode.d3.loss_mask: 0.5406, decode.d3.loss_dice: 0.8149, decode.d4.loss_cls: 0.3388, decode.d4.loss_mask: 0.5413, decode.d4.loss_dice: 0.8139, decode.d5.loss_cls: 0.3230, decode.d5.loss_mask: 0.5406, decode.d5.loss_dice: 0.8115, decode.d6.loss_cls: 0.3318, decode.d6.loss_mask: 0.5364, decode.d6.loss_dice: 0.8003, decode.d7.loss_cls: 0.3213, decode.d7.loss_mask: 0.5385, decode.d7.loss_dice: 0.8097, decode.d8.loss_cls: 0.3212, decode.d8.loss_mask: 0.5376, decode.d8.loss_dice: 0.8086, loss: 18.1147, grad_norm: 46.4094 2023-11-12 06:41:57,164 - mmseg - INFO - Iter [56400/160000] lr: 6.475e-05, eta: 14:35:31, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3208, decode.loss_mask: 0.5250, decode.loss_dice: 0.7923, decode.d0.loss_cls: 1.3278, decode.d0.loss_mask: 0.5660, decode.d0.loss_dice: 0.8703, decode.d1.loss_cls: 0.4019, decode.d1.loss_mask: 0.5428, decode.d1.loss_dice: 0.8431, decode.d2.loss_cls: 0.3614, decode.d2.loss_mask: 0.5350, decode.d2.loss_dice: 0.8144, decode.d3.loss_cls: 0.3390, decode.d3.loss_mask: 0.5287, decode.d3.loss_dice: 0.7995, decode.d4.loss_cls: 0.3345, decode.d4.loss_mask: 0.5283, decode.d4.loss_dice: 0.7958, decode.d5.loss_cls: 0.3281, decode.d5.loss_mask: 0.5274, decode.d5.loss_dice: 0.7943, decode.d6.loss_cls: 0.3302, decode.d6.loss_mask: 0.5250, decode.d6.loss_dice: 0.7919, decode.d7.loss_cls: 0.3209, decode.d7.loss_mask: 0.5238, decode.d7.loss_dice: 0.7904, decode.d8.loss_cls: 0.3165, decode.d8.loss_mask: 0.5254, decode.d8.loss_dice: 0.7949, loss: 17.7953, grad_norm: 46.4947 2023-11-12 06:42:21,088 - mmseg - INFO - Iter [56450/160000] lr: 6.472e-05, eta: 14:35:03, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3231, decode.loss_mask: 0.5399, decode.loss_dice: 0.7919, decode.d0.loss_cls: 1.3123, decode.d0.loss_mask: 0.5697, decode.d0.loss_dice: 0.8679, decode.d1.loss_cls: 0.3986, decode.d1.loss_mask: 0.5563, decode.d1.loss_dice: 0.8472, decode.d2.loss_cls: 0.3619, decode.d2.loss_mask: 0.5440, decode.d2.loss_dice: 0.8165, decode.d3.loss_cls: 0.3426, decode.d3.loss_mask: 0.5398, decode.d3.loss_dice: 0.7980, decode.d4.loss_cls: 0.3373, decode.d4.loss_mask: 0.5395, decode.d4.loss_dice: 0.7955, decode.d5.loss_cls: 0.3289, decode.d5.loss_mask: 0.5396, decode.d5.loss_dice: 0.7943, decode.d6.loss_cls: 0.3321, decode.d6.loss_mask: 0.5378, decode.d6.loss_dice: 0.7911, decode.d7.loss_cls: 0.3250, decode.d7.loss_mask: 0.5394, decode.d7.loss_dice: 0.7918, decode.d8.loss_cls: 0.3225, decode.d8.loss_mask: 0.5376, decode.d8.loss_dice: 0.7859, loss: 17.9080, grad_norm: 46.6810 2023-11-12 06:42:44,996 - mmseg - INFO - Iter [56500/160000] lr: 6.469e-05, eta: 14:34:35, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3269, decode.loss_mask: 0.5555, decode.loss_dice: 0.8049, decode.d0.loss_cls: 1.3202, decode.d0.loss_mask: 0.5893, decode.d0.loss_dice: 0.8884, decode.d1.loss_cls: 0.4170, decode.d1.loss_mask: 0.5721, decode.d1.loss_dice: 0.8523, decode.d2.loss_cls: 0.3578, decode.d2.loss_mask: 0.5613, decode.d2.loss_dice: 0.8274, decode.d3.loss_cls: 0.3441, decode.d3.loss_mask: 0.5588, decode.d3.loss_dice: 0.8075, decode.d4.loss_cls: 0.3384, decode.d4.loss_mask: 0.5591, decode.d4.loss_dice: 0.8078, decode.d5.loss_cls: 0.3318, decode.d5.loss_mask: 0.5584, decode.d5.loss_dice: 0.8051, decode.d6.loss_cls: 0.3325, decode.d6.loss_mask: 0.5562, decode.d6.loss_dice: 0.8002, decode.d7.loss_cls: 0.3299, decode.d7.loss_mask: 0.5555, decode.d7.loss_dice: 0.8004, decode.d8.loss_cls: 0.3289, decode.d8.loss_mask: 0.5548, decode.d8.loss_dice: 0.7988, loss: 18.2414, grad_norm: 45.1038 2023-11-12 06:43:08,841 - mmseg - INFO - Iter [56550/160000] lr: 6.466e-05, eta: 14:34:07, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3283, decode.loss_mask: 0.5722, decode.loss_dice: 0.8057, decode.d0.loss_cls: 1.3483, decode.d0.loss_mask: 0.6091, decode.d0.loss_dice: 0.8880, decode.d1.loss_cls: 0.4127, decode.d1.loss_mask: 0.5897, decode.d1.loss_dice: 0.8542, decode.d2.loss_cls: 0.3675, decode.d2.loss_mask: 0.5812, decode.d2.loss_dice: 0.8324, decode.d3.loss_cls: 0.3507, decode.d3.loss_mask: 0.5779, decode.d3.loss_dice: 0.8149, decode.d4.loss_cls: 0.3397, decode.d4.loss_mask: 0.5759, decode.d4.loss_dice: 0.8161, decode.d5.loss_cls: 0.3332, decode.d5.loss_mask: 0.5777, decode.d5.loss_dice: 0.8164, decode.d6.loss_cls: 0.3265, decode.d6.loss_mask: 0.5737, decode.d6.loss_dice: 0.8128, decode.d7.loss_cls: 0.3327, decode.d7.loss_mask: 0.5723, decode.d7.loss_dice: 0.8130, decode.d8.loss_cls: 0.3279, decode.d8.loss_mask: 0.5727, decode.d8.loss_dice: 0.8119, loss: 18.5353, grad_norm: 48.8591 2023-11-12 06:43:32,761 - mmseg - INFO - Iter [56600/160000] lr: 6.463e-05, eta: 14:33:39, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3147, decode.loss_mask: 0.5405, decode.loss_dice: 0.8027, decode.d0.loss_cls: 1.3094, decode.d0.loss_mask: 0.5794, decode.d0.loss_dice: 0.8828, decode.d1.loss_cls: 0.3954, decode.d1.loss_mask: 0.5640, decode.d1.loss_dice: 0.8544, decode.d2.loss_cls: 0.3573, decode.d2.loss_mask: 0.5540, decode.d2.loss_dice: 0.8300, decode.d3.loss_cls: 0.3315, decode.d3.loss_mask: 0.5502, decode.d3.loss_dice: 0.8115, decode.d4.loss_cls: 0.3212, decode.d4.loss_mask: 0.5468, decode.d4.loss_dice: 0.8140, decode.d5.loss_cls: 0.3224, decode.d5.loss_mask: 0.5453, decode.d5.loss_dice: 0.8150, decode.d6.loss_cls: 0.3215, decode.d6.loss_mask: 0.5437, decode.d6.loss_dice: 0.8089, decode.d7.loss_cls: 0.3179, decode.d7.loss_mask: 0.5429, decode.d7.loss_dice: 0.8028, decode.d8.loss_cls: 0.3188, decode.d8.loss_mask: 0.5403, decode.d8.loss_dice: 0.8007, loss: 18.0403, grad_norm: 46.9247 2023-11-12 06:43:56,980 - mmseg - INFO - Iter [56650/160000] lr: 6.459e-05, eta: 14:33:11, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3265, decode.loss_mask: 0.5374, decode.loss_dice: 0.7902, decode.d0.loss_cls: 1.3507, decode.d0.loss_mask: 0.5710, decode.d0.loss_dice: 0.8665, decode.d1.loss_cls: 0.4133, decode.d1.loss_mask: 0.5591, decode.d1.loss_dice: 0.8368, decode.d2.loss_cls: 0.3704, decode.d2.loss_mask: 0.5476, decode.d2.loss_dice: 0.8154, decode.d3.loss_cls: 0.3510, decode.d3.loss_mask: 0.5422, decode.d3.loss_dice: 0.8008, decode.d4.loss_cls: 0.3360, decode.d4.loss_mask: 0.5424, decode.d4.loss_dice: 0.7975, decode.d5.loss_cls: 0.3326, decode.d5.loss_mask: 0.5427, decode.d5.loss_dice: 0.7971, decode.d6.loss_cls: 0.3286, decode.d6.loss_mask: 0.5389, decode.d6.loss_dice: 0.7914, decode.d7.loss_cls: 0.3343, decode.d7.loss_mask: 0.5375, decode.d7.loss_dice: 0.7910, decode.d8.loss_cls: 0.3242, decode.d8.loss_mask: 0.5375, decode.d8.loss_dice: 0.7933, loss: 18.0037, grad_norm: 48.3942 2023-11-12 06:44:20,988 - mmseg - INFO - Iter [56700/160000] lr: 6.456e-05, eta: 14:32:43, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3209, decode.loss_mask: 0.5446, decode.loss_dice: 0.8099, decode.d0.loss_cls: 1.3272, decode.d0.loss_mask: 0.5800, decode.d0.loss_dice: 0.8906, decode.d1.loss_cls: 0.3985, decode.d1.loss_mask: 0.5671, decode.d1.loss_dice: 0.8581, decode.d2.loss_cls: 0.3567, decode.d2.loss_mask: 0.5518, decode.d2.loss_dice: 0.8335, decode.d3.loss_cls: 0.3387, decode.d3.loss_mask: 0.5467, decode.d3.loss_dice: 0.8170, decode.d4.loss_cls: 0.3269, decode.d4.loss_mask: 0.5467, decode.d4.loss_dice: 0.8198, decode.d5.loss_cls: 0.3286, decode.d5.loss_mask: 0.5432, decode.d5.loss_dice: 0.8156, decode.d6.loss_cls: 0.3224, decode.d6.loss_mask: 0.5458, decode.d6.loss_dice: 0.8106, decode.d7.loss_cls: 0.3174, decode.d7.loss_mask: 0.5457, decode.d7.loss_dice: 0.8129, decode.d8.loss_cls: 0.3158, decode.d8.loss_mask: 0.5453, decode.d8.loss_dice: 0.8107, loss: 18.1489, grad_norm: 48.9551 2023-11-12 06:44:45,094 - mmseg - INFO - Iter [56750/160000] lr: 6.453e-05, eta: 14:32:16, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3309, decode.loss_mask: 0.5243, decode.loss_dice: 0.7989, decode.d0.loss_cls: 1.3471, decode.d0.loss_mask: 0.5573, decode.d0.loss_dice: 0.8824, decode.d1.loss_cls: 0.4059, decode.d1.loss_mask: 0.5459, decode.d1.loss_dice: 0.8441, decode.d2.loss_cls: 0.3730, decode.d2.loss_mask: 0.5298, decode.d2.loss_dice: 0.8132, decode.d3.loss_cls: 0.3477, decode.d3.loss_mask: 0.5276, decode.d3.loss_dice: 0.8089, decode.d4.loss_cls: 0.3405, decode.d4.loss_mask: 0.5252, decode.d4.loss_dice: 0.8081, decode.d5.loss_cls: 0.3376, decode.d5.loss_mask: 0.5257, decode.d5.loss_dice: 0.8047, decode.d6.loss_cls: 0.3362, decode.d6.loss_mask: 0.5216, decode.d6.loss_dice: 0.7978, decode.d7.loss_cls: 0.3322, decode.d7.loss_mask: 0.5224, decode.d7.loss_dice: 0.8024, decode.d8.loss_cls: 0.3296, decode.d8.loss_mask: 0.5239, decode.d8.loss_dice: 0.8016, loss: 17.9466, grad_norm: 45.8136 2023-11-12 06:45:09,261 - mmseg - INFO - Iter [56800/160000] lr: 6.450e-05, eta: 14:31:48, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3275, decode.loss_mask: 0.5399, decode.loss_dice: 0.7837, decode.d0.loss_cls: 1.3444, decode.d0.loss_mask: 0.5717, decode.d0.loss_dice: 0.8609, decode.d1.loss_cls: 0.4160, decode.d1.loss_mask: 0.5587, decode.d1.loss_dice: 0.8377, decode.d2.loss_cls: 0.3648, decode.d2.loss_mask: 0.5536, decode.d2.loss_dice: 0.8072, decode.d3.loss_cls: 0.3448, decode.d3.loss_mask: 0.5456, decode.d3.loss_dice: 0.7944, decode.d4.loss_cls: 0.3305, decode.d4.loss_mask: 0.5468, decode.d4.loss_dice: 0.7865, decode.d5.loss_cls: 0.3348, decode.d5.loss_mask: 0.5447, decode.d5.loss_dice: 0.7914, decode.d6.loss_cls: 0.3293, decode.d6.loss_mask: 0.5445, decode.d6.loss_dice: 0.7882, decode.d7.loss_cls: 0.3296, decode.d7.loss_mask: 0.5408, decode.d7.loss_dice: 0.7840, decode.d8.loss_cls: 0.3300, decode.d8.loss_mask: 0.5395, decode.d8.loss_dice: 0.7839, loss: 17.9552, grad_norm: 49.1139 2023-11-12 06:45:35,475 - mmseg - INFO - Iter [56850/160000] lr: 6.447e-05, eta: 14:31:25, time: 0.524, data_time: 0.058, memory: 41146, decode.loss_cls: 0.3250, decode.loss_mask: 0.5455, decode.loss_dice: 0.8218, decode.d0.loss_cls: 1.3038, decode.d0.loss_mask: 0.5813, decode.d0.loss_dice: 0.8873, decode.d1.loss_cls: 0.4013, decode.d1.loss_mask: 0.5657, decode.d1.loss_dice: 0.8616, decode.d2.loss_cls: 0.3686, decode.d2.loss_mask: 0.5530, decode.d2.loss_dice: 0.8395, decode.d3.loss_cls: 0.3489, decode.d3.loss_mask: 0.5471, decode.d3.loss_dice: 0.8266, decode.d4.loss_cls: 0.3376, decode.d4.loss_mask: 0.5464, decode.d4.loss_dice: 0.8248, decode.d5.loss_cls: 0.3326, decode.d5.loss_mask: 0.5465, decode.d5.loss_dice: 0.8188, decode.d6.loss_cls: 0.3322, decode.d6.loss_mask: 0.5453, decode.d6.loss_dice: 0.8184, decode.d7.loss_cls: 0.3318, decode.d7.loss_mask: 0.5440, decode.d7.loss_dice: 0.8150, decode.d8.loss_cls: 0.3266, decode.d8.loss_mask: 0.5450, decode.d8.loss_dice: 0.8219, loss: 18.2637, grad_norm: 48.4035 2023-11-12 06:45:59,951 - mmseg - INFO - Iter [56900/160000] lr: 6.444e-05, eta: 14:30:58, time: 0.489, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3122, decode.loss_mask: 0.5168, decode.loss_dice: 0.7933, decode.d0.loss_cls: 1.3222, decode.d0.loss_mask: 0.5547, decode.d0.loss_dice: 0.8715, decode.d1.loss_cls: 0.3857, decode.d1.loss_mask: 0.5374, decode.d1.loss_dice: 0.8476, decode.d2.loss_cls: 0.3423, decode.d2.loss_mask: 0.5281, decode.d2.loss_dice: 0.8238, decode.d3.loss_cls: 0.3336, decode.d3.loss_mask: 0.5184, decode.d3.loss_dice: 0.8047, decode.d4.loss_cls: 0.3199, decode.d4.loss_mask: 0.5212, decode.d4.loss_dice: 0.8023, decode.d5.loss_cls: 0.3192, decode.d5.loss_mask: 0.5205, decode.d5.loss_dice: 0.8017, decode.d6.loss_cls: 0.3109, decode.d6.loss_mask: 0.5179, decode.d6.loss_dice: 0.7970, decode.d7.loss_cls: 0.3101, decode.d7.loss_mask: 0.5177, decode.d7.loss_dice: 0.7985, decode.d8.loss_cls: 0.3082, decode.d8.loss_mask: 0.5166, decode.d8.loss_dice: 0.7977, loss: 17.6515, grad_norm: 43.0121 2023-11-12 06:46:23,887 - mmseg - INFO - Iter [56950/160000] lr: 6.441e-05, eta: 14:30:30, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2797, decode.loss_mask: 0.5320, decode.loss_dice: 0.7871, decode.d0.loss_cls: 1.2780, decode.d0.loss_mask: 0.5613, decode.d0.loss_dice: 0.8597, decode.d1.loss_cls: 0.3543, decode.d1.loss_mask: 0.5487, decode.d1.loss_dice: 0.8316, decode.d2.loss_cls: 0.3148, decode.d2.loss_mask: 0.5333, decode.d2.loss_dice: 0.8084, decode.d3.loss_cls: 0.3002, decode.d3.loss_mask: 0.5318, decode.d3.loss_dice: 0.7918, decode.d4.loss_cls: 0.2892, decode.d4.loss_mask: 0.5334, decode.d4.loss_dice: 0.7941, decode.d5.loss_cls: 0.2820, decode.d5.loss_mask: 0.5320, decode.d5.loss_dice: 0.7971, decode.d6.loss_cls: 0.2861, decode.d6.loss_mask: 0.5291, decode.d6.loss_dice: 0.7845, decode.d7.loss_cls: 0.2881, decode.d7.loss_mask: 0.5287, decode.d7.loss_dice: 0.7819, decode.d8.loss_cls: 0.2868, decode.d8.loss_mask: 0.5316, decode.d8.loss_dice: 0.7863, loss: 17.3434, grad_norm: 50.1512 2023-11-12 06:46:48,031 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 06:46:48,031 - mmseg - INFO - Iter [57000/160000] lr: 6.438e-05, eta: 14:30:02, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3010, decode.loss_mask: 0.5308, decode.loss_dice: 0.7870, decode.d0.loss_cls: 1.3213, decode.d0.loss_mask: 0.5659, decode.d0.loss_dice: 0.8556, decode.d1.loss_cls: 0.3944, decode.d1.loss_mask: 0.5480, decode.d1.loss_dice: 0.8221, decode.d2.loss_cls: 0.3420, decode.d2.loss_mask: 0.5383, decode.d2.loss_dice: 0.8114, decode.d3.loss_cls: 0.3290, decode.d3.loss_mask: 0.5312, decode.d3.loss_dice: 0.7945, decode.d4.loss_cls: 0.3159, decode.d4.loss_mask: 0.5320, decode.d4.loss_dice: 0.7928, decode.d5.loss_cls: 0.3095, decode.d5.loss_mask: 0.5316, decode.d5.loss_dice: 0.7952, decode.d6.loss_cls: 0.3048, decode.d6.loss_mask: 0.5310, decode.d6.loss_dice: 0.7880, decode.d7.loss_cls: 0.3005, decode.d7.loss_mask: 0.5323, decode.d7.loss_dice: 0.7903, decode.d8.loss_cls: 0.2979, decode.d8.loss_mask: 0.5332, decode.d8.loss_dice: 0.7889, loss: 17.6164, grad_norm: 45.4052 2023-11-12 06:47:12,089 - mmseg - INFO - Iter [57050/160000] lr: 6.434e-05, eta: 14:29:35, time: 0.481, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3050, decode.loss_mask: 0.5183, decode.loss_dice: 0.8101, decode.d0.loss_cls: 1.3562, decode.d0.loss_mask: 0.5529, decode.d0.loss_dice: 0.8931, decode.d1.loss_cls: 0.3934, decode.d1.loss_mask: 0.5367, decode.d1.loss_dice: 0.8548, decode.d2.loss_cls: 0.3475, decode.d2.loss_mask: 0.5260, decode.d2.loss_dice: 0.8298, decode.d3.loss_cls: 0.3277, decode.d3.loss_mask: 0.5205, decode.d3.loss_dice: 0.8117, decode.d4.loss_cls: 0.3171, decode.d4.loss_mask: 0.5193, decode.d4.loss_dice: 0.8084, decode.d5.loss_cls: 0.3110, decode.d5.loss_mask: 0.5198, decode.d5.loss_dice: 0.8132, decode.d6.loss_cls: 0.3148, decode.d6.loss_mask: 0.5194, decode.d6.loss_dice: 0.8051, decode.d7.loss_cls: 0.3130, decode.d7.loss_mask: 0.5188, decode.d7.loss_dice: 0.8063, decode.d8.loss_cls: 0.3084, decode.d8.loss_mask: 0.5180, decode.d8.loss_dice: 0.8113, loss: 17.7875, grad_norm: 45.8775 2023-11-12 06:47:36,307 - mmseg - INFO - Iter [57100/160000] lr: 6.431e-05, eta: 14:29:07, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2974, decode.loss_mask: 0.5286, decode.loss_dice: 0.8082, decode.d0.loss_cls: 1.2969, decode.d0.loss_mask: 0.5649, decode.d0.loss_dice: 0.8862, decode.d1.loss_cls: 0.3839, decode.d1.loss_mask: 0.5415, decode.d1.loss_dice: 0.8511, decode.d2.loss_cls: 0.3388, decode.d2.loss_mask: 0.5382, decode.d2.loss_dice: 0.8290, decode.d3.loss_cls: 0.3155, decode.d3.loss_mask: 0.5316, decode.d3.loss_dice: 0.8142, decode.d4.loss_cls: 0.3116, decode.d4.loss_mask: 0.5321, decode.d4.loss_dice: 0.8140, decode.d5.loss_cls: 0.3063, decode.d5.loss_mask: 0.5319, decode.d5.loss_dice: 0.8103, decode.d6.loss_cls: 0.3041, decode.d6.loss_mask: 0.5283, decode.d6.loss_dice: 0.8071, decode.d7.loss_cls: 0.3037, decode.d7.loss_mask: 0.5300, decode.d7.loss_dice: 0.8050, decode.d8.loss_cls: 0.3009, decode.d8.loss_mask: 0.5284, decode.d8.loss_dice: 0.8095, loss: 17.7493, grad_norm: 45.8050 2023-11-12 06:48:00,328 - mmseg - INFO - Iter [57150/160000] lr: 6.428e-05, eta: 14:28:39, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3105, decode.loss_mask: 0.5279, decode.loss_dice: 0.7815, decode.d0.loss_cls: 1.3167, decode.d0.loss_mask: 0.5673, decode.d0.loss_dice: 0.8687, decode.d1.loss_cls: 0.3916, decode.d1.loss_mask: 0.5490, decode.d1.loss_dice: 0.8205, decode.d2.loss_cls: 0.3419, decode.d2.loss_mask: 0.5342, decode.d2.loss_dice: 0.8073, decode.d3.loss_cls: 0.3313, decode.d3.loss_mask: 0.5294, decode.d3.loss_dice: 0.7908, decode.d4.loss_cls: 0.3244, decode.d4.loss_mask: 0.5283, decode.d4.loss_dice: 0.7866, decode.d5.loss_cls: 0.3145, decode.d5.loss_mask: 0.5301, decode.d5.loss_dice: 0.7884, decode.d6.loss_cls: 0.3121, decode.d6.loss_mask: 0.5295, decode.d6.loss_dice: 0.7851, decode.d7.loss_cls: 0.3155, decode.d7.loss_mask: 0.5293, decode.d7.loss_dice: 0.7807, decode.d8.loss_cls: 0.3153, decode.d8.loss_mask: 0.5290, decode.d8.loss_dice: 0.7867, loss: 17.6243, grad_norm: 48.2383 2023-11-12 06:48:24,281 - mmseg - INFO - Iter [57200/160000] lr: 6.425e-05, eta: 14:28:12, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3057, decode.loss_mask: 0.5260, decode.loss_dice: 0.7725, decode.d0.loss_cls: 1.2802, decode.d0.loss_mask: 0.5657, decode.d0.loss_dice: 0.8512, decode.d1.loss_cls: 0.3796, decode.d1.loss_mask: 0.5443, decode.d1.loss_dice: 0.8187, decode.d2.loss_cls: 0.3429, decode.d2.loss_mask: 0.5372, decode.d2.loss_dice: 0.7996, decode.d3.loss_cls: 0.3248, decode.d3.loss_mask: 0.5299, decode.d3.loss_dice: 0.7787, decode.d4.loss_cls: 0.3098, decode.d4.loss_mask: 0.5314, decode.d4.loss_dice: 0.7768, decode.d5.loss_cls: 0.3150, decode.d5.loss_mask: 0.5286, decode.d5.loss_dice: 0.7774, decode.d6.loss_cls: 0.3002, decode.d6.loss_mask: 0.5295, decode.d6.loss_dice: 0.7789, decode.d7.loss_cls: 0.2999, decode.d7.loss_mask: 0.5294, decode.d7.loss_dice: 0.7783, decode.d8.loss_cls: 0.3076, decode.d8.loss_mask: 0.5274, decode.d8.loss_dice: 0.7789, loss: 17.4260, grad_norm: 46.4571 2023-11-12 06:48:48,235 - mmseg - INFO - Iter [57250/160000] lr: 6.422e-05, eta: 14:27:44, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3045, decode.loss_mask: 0.5458, decode.loss_dice: 0.7917, decode.d0.loss_cls: 1.2723, decode.d0.loss_mask: 0.5799, decode.d0.loss_dice: 0.8821, decode.d1.loss_cls: 0.3852, decode.d1.loss_mask: 0.5629, decode.d1.loss_dice: 0.8376, decode.d2.loss_cls: 0.3384, decode.d2.loss_mask: 0.5558, decode.d2.loss_dice: 0.8173, decode.d3.loss_cls: 0.3265, decode.d3.loss_mask: 0.5487, decode.d3.loss_dice: 0.7974, decode.d4.loss_cls: 0.3128, decode.d4.loss_mask: 0.5479, decode.d4.loss_dice: 0.7994, decode.d5.loss_cls: 0.3099, decode.d5.loss_mask: 0.5474, decode.d5.loss_dice: 0.8009, decode.d6.loss_cls: 0.3089, decode.d6.loss_mask: 0.5463, decode.d6.loss_dice: 0.7968, decode.d7.loss_cls: 0.3067, decode.d7.loss_mask: 0.5445, decode.d7.loss_dice: 0.7974, decode.d8.loss_cls: 0.3012, decode.d8.loss_mask: 0.5458, decode.d8.loss_dice: 0.7939, loss: 17.8060, grad_norm: 50.3906 2023-11-12 06:49:12,199 - mmseg - INFO - Iter [57300/160000] lr: 6.419e-05, eta: 14:27:16, time: 0.479, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3225, decode.loss_mask: 0.5561, decode.loss_dice: 0.8118, decode.d0.loss_cls: 1.3306, decode.d0.loss_mask: 0.5873, decode.d0.loss_dice: 0.8820, decode.d1.loss_cls: 0.4156, decode.d1.loss_mask: 0.5701, decode.d1.loss_dice: 0.8489, decode.d2.loss_cls: 0.3693, decode.d2.loss_mask: 0.5619, decode.d2.loss_dice: 0.8303, decode.d3.loss_cls: 0.3499, decode.d3.loss_mask: 0.5605, decode.d3.loss_dice: 0.8134, decode.d4.loss_cls: 0.3395, decode.d4.loss_mask: 0.5560, decode.d4.loss_dice: 0.8179, decode.d5.loss_cls: 0.3308, decode.d5.loss_mask: 0.5583, decode.d5.loss_dice: 0.8154, decode.d6.loss_cls: 0.3284, decode.d6.loss_mask: 0.5559, decode.d6.loss_dice: 0.8092, decode.d7.loss_cls: 0.3309, decode.d7.loss_mask: 0.5548, decode.d7.loss_dice: 0.8094, decode.d8.loss_cls: 0.3302, decode.d8.loss_mask: 0.5560, decode.d8.loss_dice: 0.8105, loss: 18.3136, grad_norm: 50.6199 2023-11-12 06:49:36,212 - mmseg - INFO - Iter [57350/160000] lr: 6.416e-05, eta: 14:26:48, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3267, decode.loss_mask: 0.5287, decode.loss_dice: 0.7965, decode.d0.loss_cls: 1.3262, decode.d0.loss_mask: 0.5634, decode.d0.loss_dice: 0.8753, decode.d1.loss_cls: 0.3989, decode.d1.loss_mask: 0.5527, decode.d1.loss_dice: 0.8426, decode.d2.loss_cls: 0.3628, decode.d2.loss_mask: 0.5404, decode.d2.loss_dice: 0.8146, decode.d3.loss_cls: 0.3413, decode.d3.loss_mask: 0.5330, decode.d3.loss_dice: 0.8039, decode.d4.loss_cls: 0.3400, decode.d4.loss_mask: 0.5310, decode.d4.loss_dice: 0.8029, decode.d5.loss_cls: 0.3350, decode.d5.loss_mask: 0.5344, decode.d5.loss_dice: 0.8021, decode.d6.loss_cls: 0.3320, decode.d6.loss_mask: 0.5313, decode.d6.loss_dice: 0.7959, decode.d7.loss_cls: 0.3285, decode.d7.loss_mask: 0.5310, decode.d7.loss_dice: 0.7960, decode.d8.loss_cls: 0.3245, decode.d8.loss_mask: 0.5294, decode.d8.loss_dice: 0.7990, loss: 17.9203, grad_norm: 46.1153 2023-11-12 06:50:00,132 - mmseg - INFO - Iter [57400/160000] lr: 6.413e-05, eta: 14:26:20, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3319, decode.loss_mask: 0.5173, decode.loss_dice: 0.7888, decode.d0.loss_cls: 1.3575, decode.d0.loss_mask: 0.5544, decode.d0.loss_dice: 0.8647, decode.d1.loss_cls: 0.4211, decode.d1.loss_mask: 0.5361, decode.d1.loss_dice: 0.8363, decode.d2.loss_cls: 0.3720, decode.d2.loss_mask: 0.5270, decode.d2.loss_dice: 0.8083, decode.d3.loss_cls: 0.3511, decode.d3.loss_mask: 0.5227, decode.d3.loss_dice: 0.7961, decode.d4.loss_cls: 0.3443, decode.d4.loss_mask: 0.5227, decode.d4.loss_dice: 0.7931, decode.d5.loss_cls: 0.3481, decode.d5.loss_mask: 0.5211, decode.d5.loss_dice: 0.7918, decode.d6.loss_cls: 0.3342, decode.d6.loss_mask: 0.5233, decode.d6.loss_dice: 0.7924, decode.d7.loss_cls: 0.3350, decode.d7.loss_mask: 0.5225, decode.d7.loss_dice: 0.7904, decode.d8.loss_cls: 0.3329, decode.d8.loss_mask: 0.5195, decode.d8.loss_dice: 0.7877, loss: 17.8442, grad_norm: 47.2814 2023-11-12 06:50:23,962 - mmseg - INFO - Iter [57450/160000] lr: 6.409e-05, eta: 14:25:52, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3055, decode.loss_mask: 0.5460, decode.loss_dice: 0.7839, decode.d0.loss_cls: 1.2942, decode.d0.loss_mask: 0.5811, decode.d0.loss_dice: 0.8530, decode.d1.loss_cls: 0.3767, decode.d1.loss_mask: 0.5678, decode.d1.loss_dice: 0.8320, decode.d2.loss_cls: 0.3397, decode.d2.loss_mask: 0.5558, decode.d2.loss_dice: 0.8091, decode.d3.loss_cls: 0.3185, decode.d3.loss_mask: 0.5513, decode.d3.loss_dice: 0.7955, decode.d4.loss_cls: 0.3136, decode.d4.loss_mask: 0.5465, decode.d4.loss_dice: 0.7922, decode.d5.loss_cls: 0.3134, decode.d5.loss_mask: 0.5448, decode.d5.loss_dice: 0.7908, decode.d6.loss_cls: 0.3060, decode.d6.loss_mask: 0.5480, decode.d6.loss_dice: 0.7892, decode.d7.loss_cls: 0.3047, decode.d7.loss_mask: 0.5456, decode.d7.loss_dice: 0.7884, decode.d8.loss_cls: 0.3035, decode.d8.loss_mask: 0.5484, decode.d8.loss_dice: 0.7873, loss: 17.7325, grad_norm: 52.0165 2023-11-12 06:50:48,214 - mmseg - INFO - Iter [57500/160000] lr: 6.406e-05, eta: 14:25:25, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3148, decode.loss_mask: 0.5333, decode.loss_dice: 0.7962, decode.d0.loss_cls: 1.3241, decode.d0.loss_mask: 0.5754, decode.d0.loss_dice: 0.8734, decode.d1.loss_cls: 0.3992, decode.d1.loss_mask: 0.5517, decode.d1.loss_dice: 0.8423, decode.d2.loss_cls: 0.3531, decode.d2.loss_mask: 0.5436, decode.d2.loss_dice: 0.8202, decode.d3.loss_cls: 0.3326, decode.d3.loss_mask: 0.5405, decode.d3.loss_dice: 0.8058, decode.d4.loss_cls: 0.3174, decode.d4.loss_mask: 0.5376, decode.d4.loss_dice: 0.8008, decode.d5.loss_cls: 0.3201, decode.d5.loss_mask: 0.5361, decode.d5.loss_dice: 0.8042, decode.d6.loss_cls: 0.3181, decode.d6.loss_mask: 0.5340, decode.d6.loss_dice: 0.7977, decode.d7.loss_cls: 0.3146, decode.d7.loss_mask: 0.5348, decode.d7.loss_dice: 0.7995, decode.d8.loss_cls: 0.3150, decode.d8.loss_mask: 0.5344, decode.d8.loss_dice: 0.7949, loss: 17.8655, grad_norm: 48.6693 2023-11-12 06:51:12,320 - mmseg - INFO - Iter [57550/160000] lr: 6.403e-05, eta: 14:24:58, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2946, decode.loss_mask: 0.5377, decode.loss_dice: 0.7861, decode.d0.loss_cls: 1.2886, decode.d0.loss_mask: 0.5726, decode.d0.loss_dice: 0.8587, decode.d1.loss_cls: 0.3788, decode.d1.loss_mask: 0.5539, decode.d1.loss_dice: 0.8185, decode.d2.loss_cls: 0.3376, decode.d2.loss_mask: 0.5444, decode.d2.loss_dice: 0.8007, decode.d3.loss_cls: 0.3207, decode.d3.loss_mask: 0.5372, decode.d3.loss_dice: 0.7890, decode.d4.loss_cls: 0.3111, decode.d4.loss_mask: 0.5384, decode.d4.loss_dice: 0.7837, decode.d5.loss_cls: 0.3055, decode.d5.loss_mask: 0.5393, decode.d5.loss_dice: 0.7889, decode.d6.loss_cls: 0.3056, decode.d6.loss_mask: 0.5374, decode.d6.loss_dice: 0.7813, decode.d7.loss_cls: 0.3022, decode.d7.loss_mask: 0.5387, decode.d7.loss_dice: 0.7838, decode.d8.loss_cls: 0.2977, decode.d8.loss_mask: 0.5374, decode.d8.loss_dice: 0.7833, loss: 17.5532, grad_norm: 47.6243 2023-11-12 06:51:36,273 - mmseg - INFO - Iter [57600/160000] lr: 6.400e-05, eta: 14:24:30, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3120, decode.loss_mask: 0.5239, decode.loss_dice: 0.7722, decode.d0.loss_cls: 1.3400, decode.d0.loss_mask: 0.5570, decode.d0.loss_dice: 0.8560, decode.d1.loss_cls: 0.3926, decode.d1.loss_mask: 0.5415, decode.d1.loss_dice: 0.8173, decode.d2.loss_cls: 0.3414, decode.d2.loss_mask: 0.5291, decode.d2.loss_dice: 0.7913, decode.d3.loss_cls: 0.3324, decode.d3.loss_mask: 0.5250, decode.d3.loss_dice: 0.7747, decode.d4.loss_cls: 0.3204, decode.d4.loss_mask: 0.5281, decode.d4.loss_dice: 0.7760, decode.d5.loss_cls: 0.3136, decode.d5.loss_mask: 0.5271, decode.d5.loss_dice: 0.7735, decode.d6.loss_cls: 0.3151, decode.d6.loss_mask: 0.5243, decode.d6.loss_dice: 0.7682, decode.d7.loss_cls: 0.3099, decode.d7.loss_mask: 0.5274, decode.d7.loss_dice: 0.7727, decode.d8.loss_cls: 0.3133, decode.d8.loss_mask: 0.5250, decode.d8.loss_dice: 0.7743, loss: 17.4754, grad_norm: 45.6022 2023-11-12 06:52:00,270 - mmseg - INFO - Iter [57650/160000] lr: 6.397e-05, eta: 14:24:02, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2995, decode.loss_mask: 0.5279, decode.loss_dice: 0.8014, decode.d0.loss_cls: 1.3174, decode.d0.loss_mask: 0.5669, decode.d0.loss_dice: 0.8815, decode.d1.loss_cls: 0.3899, decode.d1.loss_mask: 0.5530, decode.d1.loss_dice: 0.8481, decode.d2.loss_cls: 0.3364, decode.d2.loss_mask: 0.5400, decode.d2.loss_dice: 0.8269, decode.d3.loss_cls: 0.3208, decode.d3.loss_mask: 0.5330, decode.d3.loss_dice: 0.8080, decode.d4.loss_cls: 0.3063, decode.d4.loss_mask: 0.5361, decode.d4.loss_dice: 0.8114, decode.d5.loss_cls: 0.2954, decode.d5.loss_mask: 0.5324, decode.d5.loss_dice: 0.8070, decode.d6.loss_cls: 0.2962, decode.d6.loss_mask: 0.5314, decode.d6.loss_dice: 0.8049, decode.d7.loss_cls: 0.3000, decode.d7.loss_mask: 0.5275, decode.d7.loss_dice: 0.8037, decode.d8.loss_cls: 0.2997, decode.d8.loss_mask: 0.5273, decode.d8.loss_dice: 0.8057, loss: 17.7356, grad_norm: 47.3762 2023-11-12 06:52:24,358 - mmseg - INFO - Iter [57700/160000] lr: 6.394e-05, eta: 14:23:35, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3242, decode.loss_mask: 0.5159, decode.loss_dice: 0.8003, decode.d0.loss_cls: 1.3177, decode.d0.loss_mask: 0.5566, decode.d0.loss_dice: 0.8867, decode.d1.loss_cls: 0.4102, decode.d1.loss_mask: 0.5376, decode.d1.loss_dice: 0.8541, decode.d2.loss_cls: 0.3676, decode.d2.loss_mask: 0.5287, decode.d2.loss_dice: 0.8279, decode.d3.loss_cls: 0.3429, decode.d3.loss_mask: 0.5221, decode.d3.loss_dice: 0.8106, decode.d4.loss_cls: 0.3407, decode.d4.loss_mask: 0.5165, decode.d4.loss_dice: 0.8090, decode.d5.loss_cls: 0.3350, decode.d5.loss_mask: 0.5159, decode.d5.loss_dice: 0.8061, decode.d6.loss_cls: 0.3306, decode.d6.loss_mask: 0.5209, decode.d6.loss_dice: 0.8014, decode.d7.loss_cls: 0.3259, decode.d7.loss_mask: 0.5200, decode.d7.loss_dice: 0.8060, decode.d8.loss_cls: 0.3249, decode.d8.loss_mask: 0.5198, decode.d8.loss_dice: 0.8012, loss: 17.8769, grad_norm: 50.3514 2023-11-12 06:52:48,320 - mmseg - INFO - Iter [57750/160000] lr: 6.391e-05, eta: 14:23:07, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3228, decode.loss_mask: 0.5259, decode.loss_dice: 0.7916, decode.d0.loss_cls: 1.3141, decode.d0.loss_mask: 0.5633, decode.d0.loss_dice: 0.8691, decode.d1.loss_cls: 0.4001, decode.d1.loss_mask: 0.5430, decode.d1.loss_dice: 0.8370, decode.d2.loss_cls: 0.3629, decode.d2.loss_mask: 0.5361, decode.d2.loss_dice: 0.8149, decode.d3.loss_cls: 0.3413, decode.d3.loss_mask: 0.5306, decode.d3.loss_dice: 0.8037, decode.d4.loss_cls: 0.3354, decode.d4.loss_mask: 0.5304, decode.d4.loss_dice: 0.8023, decode.d5.loss_cls: 0.3243, decode.d5.loss_mask: 0.5275, decode.d5.loss_dice: 0.8007, decode.d6.loss_cls: 0.3255, decode.d6.loss_mask: 0.5249, decode.d6.loss_dice: 0.7990, decode.d7.loss_cls: 0.3200, decode.d7.loss_mask: 0.5270, decode.d7.loss_dice: 0.7978, decode.d8.loss_cls: 0.3176, decode.d8.loss_mask: 0.5276, decode.d8.loss_dice: 0.7999, loss: 17.8165, grad_norm: 52.3786 2023-11-12 06:53:12,333 - mmseg - INFO - Iter [57800/160000] lr: 6.388e-05, eta: 14:22:39, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3072, decode.loss_mask: 0.5273, decode.loss_dice: 0.7955, decode.d0.loss_cls: 1.2928, decode.d0.loss_mask: 0.5702, decode.d0.loss_dice: 0.8847, decode.d1.loss_cls: 0.3736, decode.d1.loss_mask: 0.5524, decode.d1.loss_dice: 0.8472, decode.d2.loss_cls: 0.3383, decode.d2.loss_mask: 0.5377, decode.d2.loss_dice: 0.8199, decode.d3.loss_cls: 0.3183, decode.d3.loss_mask: 0.5292, decode.d3.loss_dice: 0.8036, decode.d4.loss_cls: 0.3166, decode.d4.loss_mask: 0.5266, decode.d4.loss_dice: 0.7996, decode.d5.loss_cls: 0.3110, decode.d5.loss_mask: 0.5254, decode.d5.loss_dice: 0.8004, decode.d6.loss_cls: 0.3045, decode.d6.loss_mask: 0.5247, decode.d6.loss_dice: 0.7961, decode.d7.loss_cls: 0.3036, decode.d7.loss_mask: 0.5263, decode.d7.loss_dice: 0.7954, decode.d8.loss_cls: 0.3053, decode.d8.loss_mask: 0.5258, decode.d8.loss_dice: 0.7940, loss: 17.6532, grad_norm: 49.8245 2023-11-12 06:53:36,338 - mmseg - INFO - Iter [57850/160000] lr: 6.384e-05, eta: 14:22:12, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3012, decode.loss_mask: 0.5303, decode.loss_dice: 0.7793, decode.d0.loss_cls: 1.3030, decode.d0.loss_mask: 0.5657, decode.d0.loss_dice: 0.8609, decode.d1.loss_cls: 0.3859, decode.d1.loss_mask: 0.5471, decode.d1.loss_dice: 0.8315, decode.d2.loss_cls: 0.3329, decode.d2.loss_mask: 0.5352, decode.d2.loss_dice: 0.8115, decode.d3.loss_cls: 0.3172, decode.d3.loss_mask: 0.5340, decode.d3.loss_dice: 0.7900, decode.d4.loss_cls: 0.3050, decode.d4.loss_mask: 0.5331, decode.d4.loss_dice: 0.7886, decode.d5.loss_cls: 0.2991, decode.d5.loss_mask: 0.5337, decode.d5.loss_dice: 0.7902, decode.d6.loss_cls: 0.3027, decode.d6.loss_mask: 0.5311, decode.d6.loss_dice: 0.7837, decode.d7.loss_cls: 0.2998, decode.d7.loss_mask: 0.5292, decode.d7.loss_dice: 0.7802, decode.d8.loss_cls: 0.3009, decode.d8.loss_mask: 0.5292, decode.d8.loss_dice: 0.7850, loss: 17.5170, grad_norm: 45.9764 2023-11-12 06:54:00,536 - mmseg - INFO - Iter [57900/160000] lr: 6.381e-05, eta: 14:21:44, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3114, decode.loss_mask: 0.5642, decode.loss_dice: 0.7965, decode.d0.loss_cls: 1.3056, decode.d0.loss_mask: 0.5969, decode.d0.loss_dice: 0.8897, decode.d1.loss_cls: 0.3933, decode.d1.loss_mask: 0.5780, decode.d1.loss_dice: 0.8516, decode.d2.loss_cls: 0.3504, decode.d2.loss_mask: 0.5694, decode.d2.loss_dice: 0.8205, decode.d3.loss_cls: 0.3275, decode.d3.loss_mask: 0.5665, decode.d3.loss_dice: 0.8072, decode.d4.loss_cls: 0.3161, decode.d4.loss_mask: 0.5666, decode.d4.loss_dice: 0.8068, decode.d5.loss_cls: 0.3135, decode.d5.loss_mask: 0.5618, decode.d5.loss_dice: 0.8089, decode.d6.loss_cls: 0.3132, decode.d6.loss_mask: 0.5633, decode.d6.loss_dice: 0.8031, decode.d7.loss_cls: 0.3142, decode.d7.loss_mask: 0.5635, decode.d7.loss_dice: 0.8022, decode.d8.loss_cls: 0.3103, decode.d8.loss_mask: 0.5652, decode.d8.loss_dice: 0.8007, loss: 18.1382, grad_norm: 49.3388 2023-11-12 06:54:24,598 - mmseg - INFO - Iter [57950/160000] lr: 6.378e-05, eta: 14:21:17, time: 0.481, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3031, decode.loss_mask: 0.5271, decode.loss_dice: 0.7762, decode.d0.loss_cls: 1.3225, decode.d0.loss_mask: 0.5624, decode.d0.loss_dice: 0.8515, decode.d1.loss_cls: 0.3845, decode.d1.loss_mask: 0.5482, decode.d1.loss_dice: 0.8176, decode.d2.loss_cls: 0.3376, decode.d2.loss_mask: 0.5338, decode.d2.loss_dice: 0.7969, decode.d3.loss_cls: 0.3222, decode.d3.loss_mask: 0.5299, decode.d3.loss_dice: 0.7810, decode.d4.loss_cls: 0.3119, decode.d4.loss_mask: 0.5303, decode.d4.loss_dice: 0.7819, decode.d5.loss_cls: 0.3073, decode.d5.loss_mask: 0.5301, decode.d5.loss_dice: 0.7837, decode.d6.loss_cls: 0.3098, decode.d6.loss_mask: 0.5288, decode.d6.loss_dice: 0.7773, decode.d7.loss_cls: 0.3028, decode.d7.loss_mask: 0.5274, decode.d7.loss_dice: 0.7769, decode.d8.loss_cls: 0.3016, decode.d8.loss_mask: 0.5289, decode.d8.loss_dice: 0.7795, loss: 17.4724, grad_norm: 49.4945 2023-11-12 06:54:48,360 - mmseg - INFO - Saving checkpoint at 58000 iterations 2023-11-12 06:54:52,669 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 06:54:52,669 - mmseg - INFO - Iter [58000/160000] lr: 6.375e-05, eta: 14:20:56, time: 0.562, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3140, decode.loss_mask: 0.5298, decode.loss_dice: 0.7660, decode.d0.loss_cls: 1.3160, decode.d0.loss_mask: 0.5567, decode.d0.loss_dice: 0.8446, decode.d1.loss_cls: 0.3961, decode.d1.loss_mask: 0.5476, decode.d1.loss_dice: 0.8110, decode.d2.loss_cls: 0.3507, decode.d2.loss_mask: 0.5381, decode.d2.loss_dice: 0.7867, decode.d3.loss_cls: 0.3372, decode.d3.loss_mask: 0.5316, decode.d3.loss_dice: 0.7718, decode.d4.loss_cls: 0.3288, decode.d4.loss_mask: 0.5295, decode.d4.loss_dice: 0.7717, decode.d5.loss_cls: 0.3264, decode.d5.loss_mask: 0.5279, decode.d5.loss_dice: 0.7707, decode.d6.loss_cls: 0.3133, decode.d6.loss_mask: 0.5311, decode.d6.loss_dice: 0.7716, decode.d7.loss_cls: 0.3164, decode.d7.loss_mask: 0.5298, decode.d7.loss_dice: 0.7719, decode.d8.loss_cls: 0.3122, decode.d8.loss_mask: 0.5304, decode.d8.loss_dice: 0.7661, loss: 17.4958, grad_norm: 48.4786 2023-11-12 06:55:11,962 - mmseg - INFO - per class results: 2023-11-12 06:55:11,967 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.73 | 86.9 | | building | 81.56 | 88.11 | | sky | 94.76 | 97.21 | | floor | 84.35 | 90.77 | | tree | 75.63 | 86.95 | | ceiling | 84.54 | 91.15 | | road | 84.88 | 92.42 | | bed | 89.11 | 95.1 | | windowpane | 63.64 | 81.39 | | grass | 68.25 | 78.82 | | cabinet | 63.49 | 73.62 | | sidewalk | 66.09 | 76.08 | | person | 85.26 | 92.45 | | earth | 33.89 | 48.92 | | door | 51.4 | 69.92 | | table | 64.24 | 80.92 | | mountain | 59.93 | 77.54 | | plant | 53.0 | 68.3 | | curtain | 78.7 | 88.87 | | chair | 62.49 | 76.91 | | car | 86.98 | 93.85 | | water | 46.54 | 54.6 | | painting | 74.32 | 89.6 | | sofa | 71.26 | 79.18 | | shelf | 43.39 | 67.61 | | house | 41.58 | 83.43 | | sea | 65.23 | 90.13 | | mirror | 75.44 | 84.11 | | rug | 72.85 | 81.57 | | field | 25.96 | 52.46 | | armchair | 50.42 | 74.8 | | seat | 62.97 | 79.37 | | fence | 44.55 | 70.29 | | desk | 45.93 | 65.52 | | rock | 43.64 | 66.95 | | wardrobe | 41.83 | 66.31 | | lamp | 71.41 | 83.46 | | bathtub | 82.9 | 91.96 | | railing | 30.4 | 57.84 | | cushion | 62.62 | 79.31 | | base | 32.16 | 53.15 | | box | 24.84 | 36.79 | | column | 42.33 | 59.31 | | signboard | 35.19 | 57.94 | | chest of drawers | 40.49 | 59.91 | | counter | 36.39 | 47.29 | | sand | 35.07 | 50.93 | | sink | 72.98 | 80.66 | | skyscraper | 34.0 | 41.94 | | fireplace | 74.01 | 91.26 | | refrigerator | 82.69 | 89.58 | | grandstand | 44.81 | 71.84 | | path | 28.08 | 44.11 | | stairs | 35.56 | 50.43 | | runway | 74.71 | 97.55 | | case | 69.22 | 81.96 | | pool table | 94.65 | 97.65 | | pillow | 62.76 | 79.77 | | screen door | 56.56 | 58.1 | | stairway | 31.62 | 36.85 | | river | 18.14 | 25.31 | | bridge | 72.41 | 85.44 | | bookcase | 40.94 | 60.87 | | blind | 43.27 | 52.44 | | coffee table | 68.11 | 85.88 | | toilet | 88.2 | 91.36 | | flower | 41.47 | 63.9 | | book | 49.79 | 72.33 | | hill | 7.87 | 14.29 | | bench | 48.89 | 53.52 | | countertop | 56.69 | 71.96 | | stove | 84.52 | 91.01 | | palm | 54.64 | 68.97 | | kitchen island | 40.76 | 71.53 | | computer | 71.34 | 79.49 | | swivel chair | 47.45 | 73.65 | | boat | 73.03 | 89.87 | | bar | 41.29 | 45.81 | | arcade machine | 74.32 | 82.32 | | hovel | 10.44 | 15.02 | | bus | 93.15 | 96.23 | | towel | 68.79 | 81.91 | | light | 59.38 | 79.91 | | truck | 37.96 | 54.19 | | tower | 20.27 | 34.76 | | chandelier | 72.85 | 88.25 | | awning | 39.67 | 50.64 | | streetlight | 41.73 | 61.49 | | booth | 32.01 | 38.63 | | television receiver | 68.52 | 80.73 | | airplane | 83.66 | 96.7 | | dirt track | 4.14 | 34.55 | | apparel | 32.81 | 51.04 | | pole | 29.87 | 53.73 | | land | 1.99 | 2.41 | | bannister | 17.26 | 30.63 | | escalator | 41.1 | 45.63 | | ottoman | 54.37 | 71.6 | | bottle | 28.64 | 36.24 | | buffet | 52.7 | 59.64 | | poster | 21.64 | 32.04 | | stage | 19.82 | 28.64 | | van | 47.62 | 74.31 | | ship | 9.93 | 10.73 | | fountain | 20.32 | 21.87 | | conveyer belt | 45.74 | 65.76 | | canopy | 29.72 | 46.94 | | washer | 71.38 | 73.64 | | plaything | 40.98 | 67.99 | | swimming pool | 27.41 | 67.89 | | stool | 50.06 | 71.11 | | barrel | 87.18 | 98.25 | | basket | 39.53 | 47.47 | | waterfall | 62.31 | 93.11 | | tent | 95.08 | 98.34 | | bag | 23.85 | 30.28 | | minibike | 73.43 | 94.37 | | cradle | 86.23 | 97.76 | | oven | 21.9 | 69.68 | | ball | 54.36 | 75.27 | | food | 63.84 | 77.8 | | step | 19.92 | 30.76 | | tank | 55.28 | 65.66 | | trade name | 21.45 | 27.54 | | microwave | 37.13 | 41.29 | | pot | 47.08 | 55.36 | | animal | 62.55 | 64.43 | | bicycle | 61.62 | 79.4 | | lake | 27.91 | 80.57 | | dishwasher | 82.21 | 89.18 | | screen | 57.77 | 89.87 | | blanket | 24.3 | 38.65 | | sculpture | 56.47 | 87.12 | | hood | 65.67 | 79.67 | | sconce | 50.03 | 77.24 | | vase | 49.1 | 72.04 | | traffic light | 40.23 | 70.67 | | tray | 16.79 | 40.61 | | ashcan | 53.99 | 71.81 | | fan | 68.59 | 85.21 | | pier | 24.61 | 28.57 | | crt screen | 4.75 | 13.31 | | plate | 63.61 | 77.2 | | monitor | 7.89 | 11.98 | | bulletin board | 49.2 | 67.98 | | shower | 10.58 | 22.82 | | radiator | 76.48 | 88.01 | | glass | 20.6 | 22.59 | | clock | 49.08 | 68.86 | | flag | 48.31 | 58.05 | +---------------------+-------+-------+ 2023-11-12 06:55:11,967 - mmseg - INFO - Summary: 2023-11-12 06:55:11,968 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.35 | 51.55 | 66.24 | +-------+-------+-------+ 2023-11-12 06:55:11,968 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 06:55:11,968 - mmseg - INFO - Iter(val) [250] aAcc: 0.8335, mIoU: 0.5155, mAcc: 0.6624, IoU.wall: 0.7873, IoU.building: 0.8156, IoU.sky: 0.9476, IoU.floor: 0.8435, IoU.tree: 0.7563, IoU.ceiling: 0.8454, IoU.road: 0.8488, IoU.bed : 0.8911, IoU.windowpane: 0.6364, IoU.grass: 0.6825, IoU.cabinet: 0.6349, IoU.sidewalk: 0.6609, IoU.person: 0.8526, IoU.earth: 0.3389, IoU.door: 0.5140, IoU.table: 0.6424, IoU.mountain: 0.5993, IoU.plant: 0.5300, IoU.curtain: 0.7870, IoU.chair: 0.6249, IoU.car: 0.8698, IoU.water: 0.4654, IoU.painting: 0.7432, IoU.sofa: 0.7126, IoU.shelf: 0.4339, IoU.house: 0.4158, IoU.sea: 0.6523, IoU.mirror: 0.7544, IoU.rug: 0.7285, IoU.field: 0.2596, IoU.armchair: 0.5042, IoU.seat: 0.6297, IoU.fence: 0.4455, IoU.desk: 0.4593, IoU.rock: 0.4364, IoU.wardrobe: 0.4183, IoU.lamp: 0.7141, IoU.bathtub: 0.8290, IoU.railing: 0.3040, IoU.cushion: 0.6262, IoU.base: 0.3216, IoU.box: 0.2484, IoU.column: 0.4233, IoU.signboard: 0.3519, IoU.chest of drawers: 0.4049, IoU.counter: 0.3639, IoU.sand: 0.3507, IoU.sink: 0.7298, IoU.skyscraper: 0.3400, IoU.fireplace: 0.7401, IoU.refrigerator: 0.8269, IoU.grandstand: 0.4481, IoU.path: 0.2808, IoU.stairs: 0.3556, IoU.runway: 0.7471, IoU.case: 0.6922, IoU.pool table: 0.9465, IoU.pillow: 0.6276, IoU.screen door: 0.5656, IoU.stairway: 0.3162, IoU.river: 0.1814, IoU.bridge: 0.7241, IoU.bookcase: 0.4094, IoU.blind: 0.4327, IoU.coffee table: 0.6811, IoU.toilet: 0.8820, IoU.flower: 0.4147, IoU.book: 0.4979, IoU.hill: 0.0787, IoU.bench: 0.4889, IoU.countertop: 0.5669, IoU.stove: 0.8452, IoU.palm: 0.5464, IoU.kitchen island: 0.4076, IoU.computer: 0.7134, IoU.swivel chair: 0.4745, IoU.boat: 0.7303, IoU.bar: 0.4129, IoU.arcade machine: 0.7432, IoU.hovel: 0.1044, IoU.bus: 0.9315, IoU.towel: 0.6879, IoU.light: 0.5938, IoU.truck: 0.3796, IoU.tower: 0.2027, IoU.chandelier: 0.7285, IoU.awning: 0.3967, IoU.streetlight: 0.4173, IoU.booth: 0.3201, IoU.television receiver: 0.6852, IoU.airplane: 0.8366, IoU.dirt track: 0.0414, IoU.apparel: 0.3281, IoU.pole: 0.2987, IoU.land: 0.0199, IoU.bannister: 0.1726, IoU.escalator: 0.4110, IoU.ottoman: 0.5437, IoU.bottle: 0.2864, IoU.buffet: 0.5270, IoU.poster: 0.2164, IoU.stage: 0.1982, IoU.van: 0.4762, IoU.ship: 0.0993, IoU.fountain: 0.2032, IoU.conveyer belt: 0.4574, IoU.canopy: 0.2972, IoU.washer: 0.7138, IoU.plaything: 0.4098, IoU.swimming pool: 0.2741, IoU.stool: 0.5006, IoU.barrel: 0.8718, IoU.basket: 0.3953, IoU.waterfall: 0.6231, IoU.tent: 0.9508, IoU.bag: 0.2385, IoU.minibike: 0.7343, IoU.cradle: 0.8623, IoU.oven: 0.2190, IoU.ball: 0.5436, IoU.food: 0.6384, IoU.step: 0.1992, IoU.tank: 0.5528, IoU.trade name: 0.2145, IoU.microwave: 0.3713, IoU.pot: 0.4708, IoU.animal: 0.6255, IoU.bicycle: 0.6162, IoU.lake: 0.2791, IoU.dishwasher: 0.8221, IoU.screen: 0.5777, IoU.blanket: 0.2430, IoU.sculpture: 0.5647, IoU.hood: 0.6567, IoU.sconce: 0.5003, IoU.vase: 0.4910, IoU.traffic light: 0.4023, IoU.tray: 0.1679, IoU.ashcan: 0.5399, IoU.fan: 0.6859, IoU.pier: 0.2461, IoU.crt screen: 0.0475, IoU.plate: 0.6361, IoU.monitor: 0.0789, IoU.bulletin board: 0.4920, IoU.shower: 0.1058, IoU.radiator: 0.7648, IoU.glass: 0.2060, IoU.clock: 0.4908, IoU.flag: 0.4831, Acc.wall: 0.8690, Acc.building: 0.8811, Acc.sky: 0.9721, Acc.floor: 0.9077, Acc.tree: 0.8695, Acc.ceiling: 0.9115, Acc.road: 0.9242, Acc.bed : 0.9510, Acc.windowpane: 0.8139, Acc.grass: 0.7882, Acc.cabinet: 0.7362, Acc.sidewalk: 0.7608, Acc.person: 0.9245, Acc.earth: 0.4892, Acc.door: 0.6992, Acc.table: 0.8092, Acc.mountain: 0.7754, Acc.plant: 0.6830, Acc.curtain: 0.8887, Acc.chair: 0.7691, Acc.car: 0.9385, Acc.water: 0.5460, Acc.painting: 0.8960, Acc.sofa: 0.7918, Acc.shelf: 0.6761, Acc.house: 0.8343, Acc.sea: 0.9013, Acc.mirror: 0.8411, Acc.rug: 0.8157, Acc.field: 0.5246, Acc.armchair: 0.7480, Acc.seat: 0.7937, Acc.fence: 0.7029, Acc.desk: 0.6552, Acc.rock: 0.6695, Acc.wardrobe: 0.6631, Acc.lamp: 0.8346, Acc.bathtub: 0.9196, Acc.railing: 0.5784, Acc.cushion: 0.7931, Acc.base: 0.5315, Acc.box: 0.3679, Acc.column: 0.5931, Acc.signboard: 0.5794, Acc.chest of drawers: 0.5991, Acc.counter: 0.4729, Acc.sand: 0.5093, Acc.sink: 0.8066, Acc.skyscraper: 0.4194, Acc.fireplace: 0.9126, Acc.refrigerator: 0.8958, Acc.grandstand: 0.7184, Acc.path: 0.4411, Acc.stairs: 0.5043, Acc.runway: 0.9755, Acc.case: 0.8196, Acc.pool table: 0.9765, Acc.pillow: 0.7977, Acc.screen door: 0.5810, Acc.stairway: 0.3685, Acc.river: 0.2531, Acc.bridge: 0.8544, Acc.bookcase: 0.6087, Acc.blind: 0.5244, Acc.coffee table: 0.8588, Acc.toilet: 0.9136, Acc.flower: 0.6390, Acc.book: 0.7233, Acc.hill: 0.1429, Acc.bench: 0.5352, Acc.countertop: 0.7196, Acc.stove: 0.9101, Acc.palm: 0.6897, Acc.kitchen island: 0.7153, Acc.computer: 0.7949, Acc.swivel chair: 0.7365, Acc.boat: 0.8987, Acc.bar: 0.4581, Acc.arcade machine: 0.8232, Acc.hovel: 0.1502, Acc.bus: 0.9623, Acc.towel: 0.8191, Acc.light: 0.7991, Acc.truck: 0.5419, Acc.tower: 0.3476, Acc.chandelier: 0.8825, Acc.awning: 0.5064, Acc.streetlight: 0.6149, Acc.booth: 0.3863, Acc.television receiver: 0.8073, Acc.airplane: 0.9670, Acc.dirt track: 0.3455, Acc.apparel: 0.5104, Acc.pole: 0.5373, Acc.land: 0.0241, Acc.bannister: 0.3063, Acc.escalator: 0.4563, Acc.ottoman: 0.7160, Acc.bottle: 0.3624, Acc.buffet: 0.5964, Acc.poster: 0.3204, Acc.stage: 0.2864, Acc.van: 0.7431, Acc.ship: 0.1073, Acc.fountain: 0.2187, Acc.conveyer belt: 0.6576, Acc.canopy: 0.4694, Acc.washer: 0.7364, Acc.plaything: 0.6799, Acc.swimming pool: 0.6789, Acc.stool: 0.7111, Acc.barrel: 0.9825, Acc.basket: 0.4747, Acc.waterfall: 0.9311, Acc.tent: 0.9834, Acc.bag: 0.3028, Acc.minibike: 0.9437, Acc.cradle: 0.9776, Acc.oven: 0.6968, Acc.ball: 0.7527, Acc.food: 0.7780, Acc.step: 0.3076, Acc.tank: 0.6566, Acc.trade name: 0.2754, Acc.microwave: 0.4129, Acc.pot: 0.5536, Acc.animal: 0.6443, Acc.bicycle: 0.7940, Acc.lake: 0.8057, Acc.dishwasher: 0.8918, Acc.screen: 0.8987, Acc.blanket: 0.3865, Acc.sculpture: 0.8712, Acc.hood: 0.7967, Acc.sconce: 0.7724, Acc.vase: 0.7204, Acc.traffic light: 0.7067, Acc.tray: 0.4061, Acc.ashcan: 0.7181, Acc.fan: 0.8521, Acc.pier: 0.2857, Acc.crt screen: 0.1331, Acc.plate: 0.7720, Acc.monitor: 0.1198, Acc.bulletin board: 0.6798, Acc.shower: 0.2282, Acc.radiator: 0.8801, Acc.glass: 0.2259, Acc.clock: 0.6886, Acc.flag: 0.5805 2023-11-12 06:55:35,856 - mmseg - INFO - Iter [58050/160000] lr: 6.372e-05, eta: 14:21:02, time: 0.864, data_time: 0.399, memory: 41146, decode.loss_cls: 0.3120, decode.loss_mask: 0.5051, decode.loss_dice: 0.7610, decode.d0.loss_cls: 1.3475, decode.d0.loss_mask: 0.5358, decode.d0.loss_dice: 0.8392, decode.d1.loss_cls: 0.3930, decode.d1.loss_mask: 0.5250, decode.d1.loss_dice: 0.8085, decode.d2.loss_cls: 0.3509, decode.d2.loss_mask: 0.5137, decode.d2.loss_dice: 0.7815, decode.d3.loss_cls: 0.3303, decode.d3.loss_mask: 0.5120, decode.d3.loss_dice: 0.7677, decode.d4.loss_cls: 0.3242, decode.d4.loss_mask: 0.5082, decode.d4.loss_dice: 0.7661, decode.d5.loss_cls: 0.3182, decode.d5.loss_mask: 0.5118, decode.d5.loss_dice: 0.7684, decode.d6.loss_cls: 0.3163, decode.d6.loss_mask: 0.5067, decode.d6.loss_dice: 0.7602, decode.d7.loss_cls: 0.3130, decode.d7.loss_mask: 0.5044, decode.d7.loss_dice: 0.7634, decode.d8.loss_cls: 0.3075, decode.d8.loss_mask: 0.5070, decode.d8.loss_dice: 0.7651, loss: 17.2237, grad_norm: 45.9567 2023-11-12 06:56:02,055 - mmseg - INFO - Iter [58100/160000] lr: 6.369e-05, eta: 14:20:39, time: 0.524, data_time: 0.059, memory: 41146, decode.loss_cls: 0.3325, decode.loss_mask: 0.5534, decode.loss_dice: 0.8286, decode.d0.loss_cls: 1.3447, decode.d0.loss_mask: 0.5890, decode.d0.loss_dice: 0.8999, decode.d1.loss_cls: 0.4155, decode.d1.loss_mask: 0.5715, decode.d1.loss_dice: 0.8718, decode.d2.loss_cls: 0.3715, decode.d2.loss_mask: 0.5601, decode.d2.loss_dice: 0.8501, decode.d3.loss_cls: 0.3580, decode.d3.loss_mask: 0.5568, decode.d3.loss_dice: 0.8316, decode.d4.loss_cls: 0.3445, decode.d4.loss_mask: 0.5553, decode.d4.loss_dice: 0.8335, decode.d5.loss_cls: 0.3360, decode.d5.loss_mask: 0.5537, decode.d5.loss_dice: 0.8323, decode.d6.loss_cls: 0.3364, decode.d6.loss_mask: 0.5536, decode.d6.loss_dice: 0.8235, decode.d7.loss_cls: 0.3261, decode.d7.loss_mask: 0.5539, decode.d7.loss_dice: 0.8314, decode.d8.loss_cls: 0.3310, decode.d8.loss_mask: 0.5540, decode.d8.loss_dice: 0.8349, loss: 18.5351, grad_norm: 49.1232 2023-11-12 06:56:26,085 - mmseg - INFO - Iter [58150/160000] lr: 6.366e-05, eta: 14:20:11, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3007, decode.loss_mask: 0.5320, decode.loss_dice: 0.7964, decode.d0.loss_cls: 1.3171, decode.d0.loss_mask: 0.5728, decode.d0.loss_dice: 0.8823, decode.d1.loss_cls: 0.3885, decode.d1.loss_mask: 0.5497, decode.d1.loss_dice: 0.8423, decode.d2.loss_cls: 0.3448, decode.d2.loss_mask: 0.5364, decode.d2.loss_dice: 0.8199, decode.d3.loss_cls: 0.3291, decode.d3.loss_mask: 0.5338, decode.d3.loss_dice: 0.8015, decode.d4.loss_cls: 0.3165, decode.d4.loss_mask: 0.5353, decode.d4.loss_dice: 0.8056, decode.d5.loss_cls: 0.3111, decode.d5.loss_mask: 0.5313, decode.d5.loss_dice: 0.8016, decode.d6.loss_cls: 0.3033, decode.d6.loss_mask: 0.5321, decode.d6.loss_dice: 0.7987, decode.d7.loss_cls: 0.3084, decode.d7.loss_mask: 0.5308, decode.d7.loss_dice: 0.7972, decode.d8.loss_cls: 0.3046, decode.d8.loss_mask: 0.5330, decode.d8.loss_dice: 0.8019, loss: 17.7588, grad_norm: 47.3523 2023-11-12 06:56:50,100 - mmseg - INFO - Iter [58200/160000] lr: 6.363e-05, eta: 14:19:43, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3168, decode.loss_mask: 0.5250, decode.loss_dice: 0.7995, decode.d0.loss_cls: 1.3084, decode.d0.loss_mask: 0.5647, decode.d0.loss_dice: 0.8808, decode.d1.loss_cls: 0.4053, decode.d1.loss_mask: 0.5457, decode.d1.loss_dice: 0.8401, decode.d2.loss_cls: 0.3568, decode.d2.loss_mask: 0.5354, decode.d2.loss_dice: 0.8167, decode.d3.loss_cls: 0.3415, decode.d3.loss_mask: 0.5303, decode.d3.loss_dice: 0.8044, decode.d4.loss_cls: 0.3278, decode.d4.loss_mask: 0.5291, decode.d4.loss_dice: 0.8035, decode.d5.loss_cls: 0.3264, decode.d5.loss_mask: 0.5293, decode.d5.loss_dice: 0.8027, decode.d6.loss_cls: 0.3267, decode.d6.loss_mask: 0.5267, decode.d6.loss_dice: 0.7977, decode.d7.loss_cls: 0.3147, decode.d7.loss_mask: 0.5260, decode.d7.loss_dice: 0.7984, decode.d8.loss_cls: 0.3149, decode.d8.loss_mask: 0.5276, decode.d8.loss_dice: 0.8050, loss: 17.8277, grad_norm: 48.1143 2023-11-12 06:57:14,290 - mmseg - INFO - Iter [58250/160000] lr: 6.359e-05, eta: 14:19:16, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3105, decode.loss_mask: 0.5276, decode.loss_dice: 0.8010, decode.d0.loss_cls: 1.3186, decode.d0.loss_mask: 0.5624, decode.d0.loss_dice: 0.8830, decode.d1.loss_cls: 0.4031, decode.d1.loss_mask: 0.5432, decode.d1.loss_dice: 0.8483, decode.d2.loss_cls: 0.3578, decode.d2.loss_mask: 0.5323, decode.d2.loss_dice: 0.8204, decode.d3.loss_cls: 0.3315, decode.d3.loss_mask: 0.5301, decode.d3.loss_dice: 0.8040, decode.d4.loss_cls: 0.3219, decode.d4.loss_mask: 0.5279, decode.d4.loss_dice: 0.8056, decode.d5.loss_cls: 0.3190, decode.d5.loss_mask: 0.5298, decode.d5.loss_dice: 0.8100, decode.d6.loss_cls: 0.3160, decode.d6.loss_mask: 0.5304, decode.d6.loss_dice: 0.8056, decode.d7.loss_cls: 0.3134, decode.d7.loss_mask: 0.5279, decode.d7.loss_dice: 0.8094, decode.d8.loss_cls: 0.3093, decode.d8.loss_mask: 0.5262, decode.d8.loss_dice: 0.8065, loss: 17.8328, grad_norm: 46.7350 2023-11-12 06:57:38,574 - mmseg - INFO - Iter [58300/160000] lr: 6.356e-05, eta: 14:18:49, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3173, decode.loss_mask: 0.5360, decode.loss_dice: 0.8000, decode.d0.loss_cls: 1.3294, decode.d0.loss_mask: 0.5726, decode.d0.loss_dice: 0.8745, decode.d1.loss_cls: 0.3969, decode.d1.loss_mask: 0.5572, decode.d1.loss_dice: 0.8429, decode.d2.loss_cls: 0.3437, decode.d2.loss_mask: 0.5473, decode.d2.loss_dice: 0.8248, decode.d3.loss_cls: 0.3320, decode.d3.loss_mask: 0.5438, decode.d3.loss_dice: 0.8101, decode.d4.loss_cls: 0.3237, decode.d4.loss_mask: 0.5392, decode.d4.loss_dice: 0.8062, decode.d5.loss_cls: 0.3200, decode.d5.loss_mask: 0.5381, decode.d5.loss_dice: 0.8062, decode.d6.loss_cls: 0.3183, decode.d6.loss_mask: 0.5393, decode.d6.loss_dice: 0.8030, decode.d7.loss_cls: 0.3151, decode.d7.loss_mask: 0.5393, decode.d7.loss_dice: 0.8040, decode.d8.loss_cls: 0.3133, decode.d8.loss_mask: 0.5386, decode.d8.loss_dice: 0.7994, loss: 17.9322, grad_norm: 49.7785 2023-11-12 06:58:02,722 - mmseg - INFO - Iter [58350/160000] lr: 6.353e-05, eta: 14:18:21, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2930, decode.loss_mask: 0.5319, decode.loss_dice: 0.7804, decode.d0.loss_cls: 1.2885, decode.d0.loss_mask: 0.5731, decode.d0.loss_dice: 0.8573, decode.d1.loss_cls: 0.3733, decode.d1.loss_mask: 0.5506, decode.d1.loss_dice: 0.8208, decode.d2.loss_cls: 0.3289, decode.d2.loss_mask: 0.5365, decode.d2.loss_dice: 0.7950, decode.d3.loss_cls: 0.3124, decode.d3.loss_mask: 0.5309, decode.d3.loss_dice: 0.7820, decode.d4.loss_cls: 0.3041, decode.d4.loss_mask: 0.5307, decode.d4.loss_dice: 0.7833, decode.d5.loss_cls: 0.3009, decode.d5.loss_mask: 0.5323, decode.d5.loss_dice: 0.7820, decode.d6.loss_cls: 0.2972, decode.d6.loss_mask: 0.5322, decode.d6.loss_dice: 0.7782, decode.d7.loss_cls: 0.2941, decode.d7.loss_mask: 0.5325, decode.d7.loss_dice: 0.7795, decode.d8.loss_cls: 0.2935, decode.d8.loss_mask: 0.5338, decode.d8.loss_dice: 0.7792, loss: 17.4081, grad_norm: 47.5895 2023-11-12 06:58:26,658 - mmseg - INFO - Iter [58400/160000] lr: 6.350e-05, eta: 14:17:54, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3015, decode.loss_mask: 0.5355, decode.loss_dice: 0.7621, decode.d0.loss_cls: 1.2935, decode.d0.loss_mask: 0.5724, decode.d0.loss_dice: 0.8407, decode.d1.loss_cls: 0.3803, decode.d1.loss_mask: 0.5537, decode.d1.loss_dice: 0.8122, decode.d2.loss_cls: 0.3347, decode.d2.loss_mask: 0.5390, decode.d2.loss_dice: 0.7765, decode.d3.loss_cls: 0.3235, decode.d3.loss_mask: 0.5352, decode.d3.loss_dice: 0.7694, decode.d4.loss_cls: 0.3113, decode.d4.loss_mask: 0.5333, decode.d4.loss_dice: 0.7702, decode.d5.loss_cls: 0.3052, decode.d5.loss_mask: 0.5350, decode.d5.loss_dice: 0.7659, decode.d6.loss_cls: 0.3006, decode.d6.loss_mask: 0.5337, decode.d6.loss_dice: 0.7677, decode.d7.loss_cls: 0.3023, decode.d7.loss_mask: 0.5338, decode.d7.loss_dice: 0.7668, decode.d8.loss_cls: 0.2991, decode.d8.loss_mask: 0.5347, decode.d8.loss_dice: 0.7673, loss: 17.3572, grad_norm: 48.5809 2023-11-12 06:58:50,552 - mmseg - INFO - Iter [58450/160000] lr: 6.347e-05, eta: 14:17:26, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2880, decode.loss_mask: 0.5314, decode.loss_dice: 0.7703, decode.d0.loss_cls: 1.2836, decode.d0.loss_mask: 0.5708, decode.d0.loss_dice: 0.8529, decode.d1.loss_cls: 0.3653, decode.d1.loss_mask: 0.5532, decode.d1.loss_dice: 0.8144, decode.d2.loss_cls: 0.3268, decode.d2.loss_mask: 0.5401, decode.d2.loss_dice: 0.7987, decode.d3.loss_cls: 0.3160, decode.d3.loss_mask: 0.5353, decode.d3.loss_dice: 0.7762, decode.d4.loss_cls: 0.3046, decode.d4.loss_mask: 0.5345, decode.d4.loss_dice: 0.7751, decode.d5.loss_cls: 0.2941, decode.d5.loss_mask: 0.5358, decode.d5.loss_dice: 0.7762, decode.d6.loss_cls: 0.2969, decode.d6.loss_mask: 0.5315, decode.d6.loss_dice: 0.7710, decode.d7.loss_cls: 0.2935, decode.d7.loss_mask: 0.5324, decode.d7.loss_dice: 0.7719, decode.d8.loss_cls: 0.2925, decode.d8.loss_mask: 0.5320, decode.d8.loss_dice: 0.7711, loss: 17.3360, grad_norm: 44.5315 2023-11-12 06:59:14,501 - mmseg - INFO - Iter [58500/160000] lr: 6.344e-05, eta: 14:16:58, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3119, decode.loss_mask: 0.5244, decode.loss_dice: 0.7866, decode.d0.loss_cls: 1.3259, decode.d0.loss_mask: 0.5595, decode.d0.loss_dice: 0.8595, decode.d1.loss_cls: 0.3909, decode.d1.loss_mask: 0.5441, decode.d1.loss_dice: 0.8369, decode.d2.loss_cls: 0.3513, decode.d2.loss_mask: 0.5327, decode.d2.loss_dice: 0.8126, decode.d3.loss_cls: 0.3296, decode.d3.loss_mask: 0.5301, decode.d3.loss_dice: 0.7972, decode.d4.loss_cls: 0.3230, decode.d4.loss_mask: 0.5269, decode.d4.loss_dice: 0.7978, decode.d5.loss_cls: 0.3176, decode.d5.loss_mask: 0.5243, decode.d5.loss_dice: 0.7990, decode.d6.loss_cls: 0.3171, decode.d6.loss_mask: 0.5234, decode.d6.loss_dice: 0.7924, decode.d7.loss_cls: 0.3107, decode.d7.loss_mask: 0.5231, decode.d7.loss_dice: 0.7905, decode.d8.loss_cls: 0.3119, decode.d8.loss_mask: 0.5230, decode.d8.loss_dice: 0.7919, loss: 17.6657, grad_norm: 44.6373 2023-11-12 06:59:38,435 - mmseg - INFO - Iter [58550/160000] lr: 6.341e-05, eta: 14:16:30, time: 0.479, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3187, decode.loss_mask: 0.5294, decode.loss_dice: 0.7880, decode.d0.loss_cls: 1.2988, decode.d0.loss_mask: 0.5695, decode.d0.loss_dice: 0.8746, decode.d1.loss_cls: 0.3949, decode.d1.loss_mask: 0.5458, decode.d1.loss_dice: 0.8402, decode.d2.loss_cls: 0.3488, decode.d2.loss_mask: 0.5355, decode.d2.loss_dice: 0.8082, decode.d3.loss_cls: 0.3261, decode.d3.loss_mask: 0.5293, decode.d3.loss_dice: 0.7928, decode.d4.loss_cls: 0.3238, decode.d4.loss_mask: 0.5288, decode.d4.loss_dice: 0.7974, decode.d5.loss_cls: 0.3185, decode.d5.loss_mask: 0.5295, decode.d5.loss_dice: 0.7928, decode.d6.loss_cls: 0.3232, decode.d6.loss_mask: 0.5277, decode.d6.loss_dice: 0.7879, decode.d7.loss_cls: 0.3184, decode.d7.loss_mask: 0.5290, decode.d7.loss_dice: 0.7878, decode.d8.loss_cls: 0.3155, decode.d8.loss_mask: 0.5264, decode.d8.loss_dice: 0.7922, loss: 17.6996, grad_norm: 47.4177 2023-11-12 07:00:02,662 - mmseg - INFO - Iter [58600/160000] lr: 6.338e-05, eta: 14:16:03, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3068, decode.loss_mask: 0.5430, decode.loss_dice: 0.7971, decode.d0.loss_cls: 1.2838, decode.d0.loss_mask: 0.5809, decode.d0.loss_dice: 0.8789, decode.d1.loss_cls: 0.3879, decode.d1.loss_mask: 0.5589, decode.d1.loss_dice: 0.8430, decode.d2.loss_cls: 0.3460, decode.d2.loss_mask: 0.5503, decode.d2.loss_dice: 0.8211, decode.d3.loss_cls: 0.3255, decode.d3.loss_mask: 0.5451, decode.d3.loss_dice: 0.8024, decode.d4.loss_cls: 0.3172, decode.d4.loss_mask: 0.5454, decode.d4.loss_dice: 0.8044, decode.d5.loss_cls: 0.3160, decode.d5.loss_mask: 0.5449, decode.d5.loss_dice: 0.8058, decode.d6.loss_cls: 0.3104, decode.d6.loss_mask: 0.5423, decode.d6.loss_dice: 0.7973, decode.d7.loss_cls: 0.3114, decode.d7.loss_mask: 0.5423, decode.d7.loss_dice: 0.7955, decode.d8.loss_cls: 0.3100, decode.d8.loss_mask: 0.5430, decode.d8.loss_dice: 0.7969, loss: 17.8534, grad_norm: 46.1219 2023-11-12 07:00:26,512 - mmseg - INFO - Iter [58650/160000] lr: 6.334e-05, eta: 14:15:35, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2883, decode.loss_mask: 0.5405, decode.loss_dice: 0.7875, decode.d0.loss_cls: 1.2729, decode.d0.loss_mask: 0.5728, decode.d0.loss_dice: 0.8556, decode.d1.loss_cls: 0.3617, decode.d1.loss_mask: 0.5609, decode.d1.loss_dice: 0.8333, decode.d2.loss_cls: 0.3224, decode.d2.loss_mask: 0.5485, decode.d2.loss_dice: 0.8123, decode.d3.loss_cls: 0.3061, decode.d3.loss_mask: 0.5451, decode.d3.loss_dice: 0.7905, decode.d4.loss_cls: 0.3013, decode.d4.loss_mask: 0.5456, decode.d4.loss_dice: 0.7911, decode.d5.loss_cls: 0.2946, decode.d5.loss_mask: 0.5454, decode.d5.loss_dice: 0.7903, decode.d6.loss_cls: 0.2899, decode.d6.loss_mask: 0.5413, decode.d6.loss_dice: 0.7827, decode.d7.loss_cls: 0.2868, decode.d7.loss_mask: 0.5427, decode.d7.loss_dice: 0.7840, decode.d8.loss_cls: 0.2923, decode.d8.loss_mask: 0.5419, decode.d8.loss_dice: 0.7814, loss: 17.5097, grad_norm: 48.1850 2023-11-12 07:00:50,703 - mmseg - INFO - Iter [58700/160000] lr: 6.331e-05, eta: 14:15:08, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3136, decode.loss_mask: 0.5402, decode.loss_dice: 0.8031, decode.d0.loss_cls: 1.3083, decode.d0.loss_mask: 0.5773, decode.d0.loss_dice: 0.8855, decode.d1.loss_cls: 0.3938, decode.d1.loss_mask: 0.5569, decode.d1.loss_dice: 0.8535, decode.d2.loss_cls: 0.3444, decode.d2.loss_mask: 0.5467, decode.d2.loss_dice: 0.8276, decode.d3.loss_cls: 0.3414, decode.d3.loss_mask: 0.5394, decode.d3.loss_dice: 0.8136, decode.d4.loss_cls: 0.3253, decode.d4.loss_mask: 0.5398, decode.d4.loss_dice: 0.8125, decode.d5.loss_cls: 0.3188, decode.d5.loss_mask: 0.5400, decode.d5.loss_dice: 0.8103, decode.d6.loss_cls: 0.3221, decode.d6.loss_mask: 0.5409, decode.d6.loss_dice: 0.8080, decode.d7.loss_cls: 0.3160, decode.d7.loss_mask: 0.5411, decode.d7.loss_dice: 0.8083, decode.d8.loss_cls: 0.3110, decode.d8.loss_mask: 0.5403, decode.d8.loss_dice: 0.8068, loss: 17.9865, grad_norm: 49.5857 2023-11-12 07:01:14,796 - mmseg - INFO - Iter [58750/160000] lr: 6.328e-05, eta: 14:14:40, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2961, decode.loss_mask: 0.5349, decode.loss_dice: 0.7696, decode.d0.loss_cls: 1.3115, decode.d0.loss_mask: 0.5678, decode.d0.loss_dice: 0.8342, decode.d1.loss_cls: 0.3849, decode.d1.loss_mask: 0.5574, decode.d1.loss_dice: 0.8097, decode.d2.loss_cls: 0.3358, decode.d2.loss_mask: 0.5479, decode.d2.loss_dice: 0.7868, decode.d3.loss_cls: 0.3152, decode.d3.loss_mask: 0.5407, decode.d3.loss_dice: 0.7759, decode.d4.loss_cls: 0.3144, decode.d4.loss_mask: 0.5379, decode.d4.loss_dice: 0.7726, decode.d5.loss_cls: 0.3064, decode.d5.loss_mask: 0.5367, decode.d5.loss_dice: 0.7727, decode.d6.loss_cls: 0.3011, decode.d6.loss_mask: 0.5362, decode.d6.loss_dice: 0.7659, decode.d7.loss_cls: 0.2987, decode.d7.loss_mask: 0.5357, decode.d7.loss_dice: 0.7682, decode.d8.loss_cls: 0.3029, decode.d8.loss_mask: 0.5338, decode.d8.loss_dice: 0.7673, loss: 17.4190, grad_norm: 46.4186 2023-11-12 07:01:38,658 - mmseg - INFO - Iter [58800/160000] lr: 6.325e-05, eta: 14:14:13, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3092, decode.loss_mask: 0.5129, decode.loss_dice: 0.7624, decode.d0.loss_cls: 1.3129, decode.d0.loss_mask: 0.5502, decode.d0.loss_dice: 0.8401, decode.d1.loss_cls: 0.3865, decode.d1.loss_mask: 0.5306, decode.d1.loss_dice: 0.8085, decode.d2.loss_cls: 0.3492, decode.d2.loss_mask: 0.5209, decode.d2.loss_dice: 0.7841, decode.d3.loss_cls: 0.3293, decode.d3.loss_mask: 0.5141, decode.d3.loss_dice: 0.7722, decode.d4.loss_cls: 0.3212, decode.d4.loss_mask: 0.5144, decode.d4.loss_dice: 0.7685, decode.d5.loss_cls: 0.3119, decode.d5.loss_mask: 0.5131, decode.d5.loss_dice: 0.7670, decode.d6.loss_cls: 0.3095, decode.d6.loss_mask: 0.5109, decode.d6.loss_dice: 0.7616, decode.d7.loss_cls: 0.3096, decode.d7.loss_mask: 0.5122, decode.d7.loss_dice: 0.7630, decode.d8.loss_cls: 0.3099, decode.d8.loss_mask: 0.5119, decode.d8.loss_dice: 0.7642, loss: 17.2319, grad_norm: 46.5176 2023-11-12 07:02:02,583 - mmseg - INFO - Iter [58850/160000] lr: 6.322e-05, eta: 14:13:45, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3243, decode.loss_mask: 0.5353, decode.loss_dice: 0.7992, decode.d0.loss_cls: 1.3257, decode.d0.loss_mask: 0.5724, decode.d0.loss_dice: 0.8777, decode.d1.loss_cls: 0.3930, decode.d1.loss_mask: 0.5595, decode.d1.loss_dice: 0.8490, decode.d2.loss_cls: 0.3581, decode.d2.loss_mask: 0.5456, decode.d2.loss_dice: 0.8282, decode.d3.loss_cls: 0.3362, decode.d3.loss_mask: 0.5413, decode.d3.loss_dice: 0.8055, decode.d4.loss_cls: 0.3345, decode.d4.loss_mask: 0.5407, decode.d4.loss_dice: 0.8102, decode.d5.loss_cls: 0.3282, decode.d5.loss_mask: 0.5392, decode.d5.loss_dice: 0.8106, decode.d6.loss_cls: 0.3233, decode.d6.loss_mask: 0.5391, decode.d6.loss_dice: 0.8039, decode.d7.loss_cls: 0.3159, decode.d7.loss_mask: 0.5376, decode.d7.loss_dice: 0.8025, decode.d8.loss_cls: 0.3235, decode.d8.loss_mask: 0.5369, decode.d8.loss_dice: 0.8002, loss: 17.9973, grad_norm: 50.9067 2023-11-12 07:02:26,417 - mmseg - INFO - Iter [58900/160000] lr: 6.319e-05, eta: 14:13:17, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3238, decode.loss_mask: 0.5111, decode.loss_dice: 0.7850, decode.d0.loss_cls: 1.3215, decode.d0.loss_mask: 0.5442, decode.d0.loss_dice: 0.8701, decode.d1.loss_cls: 0.3938, decode.d1.loss_mask: 0.5285, decode.d1.loss_dice: 0.8387, decode.d2.loss_cls: 0.3548, decode.d2.loss_mask: 0.5199, decode.d2.loss_dice: 0.8203, decode.d3.loss_cls: 0.3418, decode.d3.loss_mask: 0.5132, decode.d3.loss_dice: 0.7944, decode.d4.loss_cls: 0.3314, decode.d4.loss_mask: 0.5103, decode.d4.loss_dice: 0.7906, decode.d5.loss_cls: 0.3271, decode.d5.loss_mask: 0.5109, decode.d5.loss_dice: 0.7897, decode.d6.loss_cls: 0.3247, decode.d6.loss_mask: 0.5101, decode.d6.loss_dice: 0.7849, decode.d7.loss_cls: 0.3209, decode.d7.loss_mask: 0.5103, decode.d7.loss_dice: 0.7872, decode.d8.loss_cls: 0.3176, decode.d8.loss_mask: 0.5119, decode.d8.loss_dice: 0.7848, loss: 17.5733, grad_norm: 48.0998 2023-11-12 07:02:50,318 - mmseg - INFO - Iter [58950/160000] lr: 6.316e-05, eta: 14:12:49, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3066, decode.loss_mask: 0.5377, decode.loss_dice: 0.7878, decode.d0.loss_cls: 1.2991, decode.d0.loss_mask: 0.5797, decode.d0.loss_dice: 0.8669, decode.d1.loss_cls: 0.3903, decode.d1.loss_mask: 0.5586, decode.d1.loss_dice: 0.8350, decode.d2.loss_cls: 0.3417, decode.d2.loss_mask: 0.5452, decode.d2.loss_dice: 0.8100, decode.d3.loss_cls: 0.3258, decode.d3.loss_mask: 0.5400, decode.d3.loss_dice: 0.7947, decode.d4.loss_cls: 0.3145, decode.d4.loss_mask: 0.5400, decode.d4.loss_dice: 0.7921, decode.d5.loss_cls: 0.3137, decode.d5.loss_mask: 0.5390, decode.d5.loss_dice: 0.7897, decode.d6.loss_cls: 0.3119, decode.d6.loss_mask: 0.5372, decode.d6.loss_dice: 0.7847, decode.d7.loss_cls: 0.3076, decode.d7.loss_mask: 0.5367, decode.d7.loss_dice: 0.7845, decode.d8.loss_cls: 0.2996, decode.d8.loss_mask: 0.5408, decode.d8.loss_dice: 0.7862, loss: 17.6973, grad_norm: 47.8047 2023-11-12 07:03:14,120 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 07:03:14,120 - mmseg - INFO - Iter [59000/160000] lr: 6.313e-05, eta: 14:12:21, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3309, decode.loss_mask: 0.5289, decode.loss_dice: 0.7760, decode.d0.loss_cls: 1.3454, decode.d0.loss_mask: 0.5616, decode.d0.loss_dice: 0.8572, decode.d1.loss_cls: 0.4159, decode.d1.loss_mask: 0.5514, decode.d1.loss_dice: 0.8218, decode.d2.loss_cls: 0.3664, decode.d2.loss_mask: 0.5374, decode.d2.loss_dice: 0.7986, decode.d3.loss_cls: 0.3490, decode.d3.loss_mask: 0.5306, decode.d3.loss_dice: 0.7820, decode.d4.loss_cls: 0.3394, decode.d4.loss_mask: 0.5304, decode.d4.loss_dice: 0.7841, decode.d5.loss_cls: 0.3323, decode.d5.loss_mask: 0.5306, decode.d5.loss_dice: 0.7837, decode.d6.loss_cls: 0.3319, decode.d6.loss_mask: 0.5314, decode.d6.loss_dice: 0.7762, decode.d7.loss_cls: 0.3304, decode.d7.loss_mask: 0.5305, decode.d7.loss_dice: 0.7809, decode.d8.loss_cls: 0.3281, decode.d8.loss_mask: 0.5306, decode.d8.loss_dice: 0.7767, loss: 17.7704, grad_norm: 48.8481 2023-11-12 07:03:38,303 - mmseg - INFO - Iter [59050/160000] lr: 6.309e-05, eta: 14:11:54, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3114, decode.loss_mask: 0.5380, decode.loss_dice: 0.7753, decode.d0.loss_cls: 1.3160, decode.d0.loss_mask: 0.5754, decode.d0.loss_dice: 0.8575, decode.d1.loss_cls: 0.4007, decode.d1.loss_mask: 0.5555, decode.d1.loss_dice: 0.8154, decode.d2.loss_cls: 0.3510, decode.d2.loss_mask: 0.5484, decode.d2.loss_dice: 0.7963, decode.d3.loss_cls: 0.3377, decode.d3.loss_mask: 0.5410, decode.d3.loss_dice: 0.7838, decode.d4.loss_cls: 0.3224, decode.d4.loss_mask: 0.5406, decode.d4.loss_dice: 0.7813, decode.d5.loss_cls: 0.3172, decode.d5.loss_mask: 0.5378, decode.d5.loss_dice: 0.7826, decode.d6.loss_cls: 0.3164, decode.d6.loss_mask: 0.5362, decode.d6.loss_dice: 0.7775, decode.d7.loss_cls: 0.3117, decode.d7.loss_mask: 0.5360, decode.d7.loss_dice: 0.7759, decode.d8.loss_cls: 0.3067, decode.d8.loss_mask: 0.5353, decode.d8.loss_dice: 0.7772, loss: 17.6580, grad_norm: 46.8649 2023-11-12 07:04:02,355 - mmseg - INFO - Iter [59100/160000] lr: 6.306e-05, eta: 14:11:27, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2981, decode.loss_mask: 0.5102, decode.loss_dice: 0.7608, decode.d0.loss_cls: 1.2892, decode.d0.loss_mask: 0.5490, decode.d0.loss_dice: 0.8436, decode.d1.loss_cls: 0.3700, decode.d1.loss_mask: 0.5260, decode.d1.loss_dice: 0.8191, decode.d2.loss_cls: 0.3290, decode.d2.loss_mask: 0.5214, decode.d2.loss_dice: 0.7871, decode.d3.loss_cls: 0.3195, decode.d3.loss_mask: 0.5152, decode.d3.loss_dice: 0.7744, decode.d4.loss_cls: 0.3091, decode.d4.loss_mask: 0.5137, decode.d4.loss_dice: 0.7749, decode.d5.loss_cls: 0.3025, decode.d5.loss_mask: 0.5123, decode.d5.loss_dice: 0.7702, decode.d6.loss_cls: 0.2972, decode.d6.loss_mask: 0.5109, decode.d6.loss_dice: 0.7701, decode.d7.loss_cls: 0.2904, decode.d7.loss_mask: 0.5120, decode.d7.loss_dice: 0.7663, decode.d8.loss_cls: 0.2969, decode.d8.loss_mask: 0.5093, decode.d8.loss_dice: 0.7667, loss: 17.1148, grad_norm: 47.8143 2023-11-12 07:04:26,338 - mmseg - INFO - Iter [59150/160000] lr: 6.303e-05, eta: 14:10:59, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2929, decode.loss_mask: 0.5467, decode.loss_dice: 0.7894, decode.d0.loss_cls: 1.2600, decode.d0.loss_mask: 0.5795, decode.d0.loss_dice: 0.8653, decode.d1.loss_cls: 0.3708, decode.d1.loss_mask: 0.5677, decode.d1.loss_dice: 0.8374, decode.d2.loss_cls: 0.3341, decode.d2.loss_mask: 0.5559, decode.d2.loss_dice: 0.8055, decode.d3.loss_cls: 0.3111, decode.d3.loss_mask: 0.5510, decode.d3.loss_dice: 0.7953, decode.d4.loss_cls: 0.3011, decode.d4.loss_mask: 0.5496, decode.d4.loss_dice: 0.7924, decode.d5.loss_cls: 0.2991, decode.d5.loss_mask: 0.5479, decode.d5.loss_dice: 0.7869, decode.d6.loss_cls: 0.2956, decode.d6.loss_mask: 0.5474, decode.d6.loss_dice: 0.7861, decode.d7.loss_cls: 0.2933, decode.d7.loss_mask: 0.5477, decode.d7.loss_dice: 0.7878, decode.d8.loss_cls: 0.2955, decode.d8.loss_mask: 0.5461, decode.d8.loss_dice: 0.7867, loss: 17.6257, grad_norm: 51.9042 2023-11-12 07:04:50,460 - mmseg - INFO - Iter [59200/160000] lr: 6.300e-05, eta: 14:10:32, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3154, decode.loss_mask: 0.5305, decode.loss_dice: 0.7994, decode.d0.loss_cls: 1.3235, decode.d0.loss_mask: 0.5620, decode.d0.loss_dice: 0.8793, decode.d1.loss_cls: 0.3857, decode.d1.loss_mask: 0.5446, decode.d1.loss_dice: 0.8495, decode.d2.loss_cls: 0.3492, decode.d2.loss_mask: 0.5388, decode.d2.loss_dice: 0.8184, decode.d3.loss_cls: 0.3382, decode.d3.loss_mask: 0.5319, decode.d3.loss_dice: 0.8050, decode.d4.loss_cls: 0.3325, decode.d4.loss_mask: 0.5315, decode.d4.loss_dice: 0.8052, decode.d5.loss_cls: 0.3254, decode.d5.loss_mask: 0.5301, decode.d5.loss_dice: 0.8019, decode.d6.loss_cls: 0.3237, decode.d6.loss_mask: 0.5298, decode.d6.loss_dice: 0.7975, decode.d7.loss_cls: 0.3222, decode.d7.loss_mask: 0.5289, decode.d7.loss_dice: 0.7985, decode.d8.loss_cls: 0.3174, decode.d8.loss_mask: 0.5291, decode.d8.loss_dice: 0.7993, loss: 17.8445, grad_norm: 46.5152 2023-11-12 07:05:14,548 - mmseg - INFO - Iter [59250/160000] lr: 6.297e-05, eta: 14:10:04, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3157, decode.loss_mask: 0.5595, decode.loss_dice: 0.8133, decode.d0.loss_cls: 1.3205, decode.d0.loss_mask: 0.5979, decode.d0.loss_dice: 0.8822, decode.d1.loss_cls: 0.3962, decode.d1.loss_mask: 0.5797, decode.d1.loss_dice: 0.8675, decode.d2.loss_cls: 0.3532, decode.d2.loss_mask: 0.5675, decode.d2.loss_dice: 0.8309, decode.d3.loss_cls: 0.3346, decode.d3.loss_mask: 0.5609, decode.d3.loss_dice: 0.8246, decode.d4.loss_cls: 0.3289, decode.d4.loss_mask: 0.5597, decode.d4.loss_dice: 0.8197, decode.d5.loss_cls: 0.3213, decode.d5.loss_mask: 0.5611, decode.d5.loss_dice: 0.8203, decode.d6.loss_cls: 0.3243, decode.d6.loss_mask: 0.5601, decode.d6.loss_dice: 0.8133, decode.d7.loss_cls: 0.3208, decode.d7.loss_mask: 0.5589, decode.d7.loss_dice: 0.8166, decode.d8.loss_cls: 0.3176, decode.d8.loss_mask: 0.5590, decode.d8.loss_dice: 0.8129, loss: 18.2985, grad_norm: 50.1699 2023-11-12 07:05:38,393 - mmseg - INFO - Iter [59300/160000] lr: 6.294e-05, eta: 14:09:37, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3003, decode.loss_mask: 0.5392, decode.loss_dice: 0.7864, decode.d0.loss_cls: 1.2797, decode.d0.loss_mask: 0.5798, decode.d0.loss_dice: 0.8649, decode.d1.loss_cls: 0.3761, decode.d1.loss_mask: 0.5593, decode.d1.loss_dice: 0.8322, decode.d2.loss_cls: 0.3362, decode.d2.loss_mask: 0.5497, decode.d2.loss_dice: 0.8153, decode.d3.loss_cls: 0.3256, decode.d3.loss_mask: 0.5444, decode.d3.loss_dice: 0.7910, decode.d4.loss_cls: 0.3180, decode.d4.loss_mask: 0.5433, decode.d4.loss_dice: 0.7915, decode.d5.loss_cls: 0.3135, decode.d5.loss_mask: 0.5414, decode.d5.loss_dice: 0.7909, decode.d6.loss_cls: 0.3038, decode.d6.loss_mask: 0.5401, decode.d6.loss_dice: 0.7870, decode.d7.loss_cls: 0.3051, decode.d7.loss_mask: 0.5396, decode.d7.loss_dice: 0.7915, decode.d8.loss_cls: 0.3060, decode.d8.loss_mask: 0.5394, decode.d8.loss_dice: 0.7953, loss: 17.6863, grad_norm: 52.0434 2023-11-12 07:06:02,341 - mmseg - INFO - Iter [59350/160000] lr: 6.291e-05, eta: 14:09:09, time: 0.479, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3092, decode.loss_mask: 0.5210, decode.loss_dice: 0.8029, decode.d0.loss_cls: 1.3080, decode.d0.loss_mask: 0.5538, decode.d0.loss_dice: 0.8765, decode.d1.loss_cls: 0.3906, decode.d1.loss_mask: 0.5388, decode.d1.loss_dice: 0.8473, decode.d2.loss_cls: 0.3393, decode.d2.loss_mask: 0.5286, decode.d2.loss_dice: 0.8248, decode.d3.loss_cls: 0.3327, decode.d3.loss_mask: 0.5215, decode.d3.loss_dice: 0.8072, decode.d4.loss_cls: 0.3231, decode.d4.loss_mask: 0.5219, decode.d4.loss_dice: 0.8097, decode.d5.loss_cls: 0.3141, decode.d5.loss_mask: 0.5194, decode.d5.loss_dice: 0.8083, decode.d6.loss_cls: 0.3140, decode.d6.loss_mask: 0.5196, decode.d6.loss_dice: 0.8018, decode.d7.loss_cls: 0.3142, decode.d7.loss_mask: 0.5203, decode.d7.loss_dice: 0.7985, decode.d8.loss_cls: 0.3087, decode.d8.loss_mask: 0.5217, decode.d8.loss_dice: 0.8030, loss: 17.7005, grad_norm: 49.2940 2023-11-12 07:06:28,653 - mmseg - INFO - Iter [59400/160000] lr: 6.288e-05, eta: 14:08:45, time: 0.526, data_time: 0.058, memory: 41146, decode.loss_cls: 0.2998, decode.loss_mask: 0.5124, decode.loss_dice: 0.7746, decode.d0.loss_cls: 1.2935, decode.d0.loss_mask: 0.5546, decode.d0.loss_dice: 0.8417, decode.d1.loss_cls: 0.3796, decode.d1.loss_mask: 0.5284, decode.d1.loss_dice: 0.8220, decode.d2.loss_cls: 0.3250, decode.d2.loss_mask: 0.5213, decode.d2.loss_dice: 0.8029, decode.d3.loss_cls: 0.3134, decode.d3.loss_mask: 0.5159, decode.d3.loss_dice: 0.7870, decode.d4.loss_cls: 0.3033, decode.d4.loss_mask: 0.5159, decode.d4.loss_dice: 0.7827, decode.d5.loss_cls: 0.3066, decode.d5.loss_mask: 0.5122, decode.d5.loss_dice: 0.7782, decode.d6.loss_cls: 0.2990, decode.d6.loss_mask: 0.5119, decode.d6.loss_dice: 0.7790, decode.d7.loss_cls: 0.2956, decode.d7.loss_mask: 0.5133, decode.d7.loss_dice: 0.7785, decode.d8.loss_cls: 0.2994, decode.d8.loss_mask: 0.5121, decode.d8.loss_dice: 0.7775, loss: 17.2373, grad_norm: 45.7403 2023-11-12 07:06:52,869 - mmseg - INFO - Iter [59450/160000] lr: 6.284e-05, eta: 14:08:18, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2858, decode.loss_mask: 0.5216, decode.loss_dice: 0.7764, decode.d0.loss_cls: 1.3096, decode.d0.loss_mask: 0.5626, decode.d0.loss_dice: 0.8454, decode.d1.loss_cls: 0.3835, decode.d1.loss_mask: 0.5409, decode.d1.loss_dice: 0.8216, decode.d2.loss_cls: 0.3301, decode.d2.loss_mask: 0.5316, decode.d2.loss_dice: 0.7921, decode.d3.loss_cls: 0.3108, decode.d3.loss_mask: 0.5259, decode.d3.loss_dice: 0.7838, decode.d4.loss_cls: 0.3034, decode.d4.loss_mask: 0.5225, decode.d4.loss_dice: 0.7798, decode.d5.loss_cls: 0.2977, decode.d5.loss_mask: 0.5252, decode.d5.loss_dice: 0.7789, decode.d6.loss_cls: 0.2974, decode.d6.loss_mask: 0.5235, decode.d6.loss_dice: 0.7746, decode.d7.loss_cls: 0.2910, decode.d7.loss_mask: 0.5226, decode.d7.loss_dice: 0.7731, decode.d8.loss_cls: 0.2925, decode.d8.loss_mask: 0.5226, decode.d8.loss_dice: 0.7738, loss: 17.3006, grad_norm: 49.9078 2023-11-12 07:07:17,463 - mmseg - INFO - Iter [59500/160000] lr: 6.281e-05, eta: 14:07:52, time: 0.492, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2732, decode.loss_mask: 0.5152, decode.loss_dice: 0.7734, decode.d0.loss_cls: 1.2868, decode.d0.loss_mask: 0.5492, decode.d0.loss_dice: 0.8353, decode.d1.loss_cls: 0.3579, decode.d1.loss_mask: 0.5264, decode.d1.loss_dice: 0.8146, decode.d2.loss_cls: 0.3167, decode.d2.loss_mask: 0.5199, decode.d2.loss_dice: 0.7932, decode.d3.loss_cls: 0.2970, decode.d3.loss_mask: 0.5159, decode.d3.loss_dice: 0.7675, decode.d4.loss_cls: 0.2874, decode.d4.loss_mask: 0.5167, decode.d4.loss_dice: 0.7733, decode.d5.loss_cls: 0.2811, decode.d5.loss_mask: 0.5142, decode.d5.loss_dice: 0.7724, decode.d6.loss_cls: 0.2833, decode.d6.loss_mask: 0.5138, decode.d6.loss_dice: 0.7649, decode.d7.loss_cls: 0.2797, decode.d7.loss_mask: 0.5154, decode.d7.loss_dice: 0.7710, decode.d8.loss_cls: 0.2790, decode.d8.loss_mask: 0.5141, decode.d8.loss_dice: 0.7682, loss: 16.9769, grad_norm: 46.9313 2023-11-12 07:07:41,491 - mmseg - INFO - Iter [59550/160000] lr: 6.278e-05, eta: 14:07:24, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3071, decode.loss_mask: 0.5026, decode.loss_dice: 0.7535, decode.d0.loss_cls: 1.3073, decode.d0.loss_mask: 0.5279, decode.d0.loss_dice: 0.8443, decode.d1.loss_cls: 0.3982, decode.d1.loss_mask: 0.5140, decode.d1.loss_dice: 0.8066, decode.d2.loss_cls: 0.3496, decode.d2.loss_mask: 0.5083, decode.d2.loss_dice: 0.7779, decode.d3.loss_cls: 0.3342, decode.d3.loss_mask: 0.5040, decode.d3.loss_dice: 0.7600, decode.d4.loss_cls: 0.3256, decode.d4.loss_mask: 0.5042, decode.d4.loss_dice: 0.7563, decode.d5.loss_cls: 0.3182, decode.d5.loss_mask: 0.5030, decode.d5.loss_dice: 0.7565, decode.d6.loss_cls: 0.3193, decode.d6.loss_mask: 0.5040, decode.d6.loss_dice: 0.7533, decode.d7.loss_cls: 0.3142, decode.d7.loss_mask: 0.5023, decode.d7.loss_dice: 0.7572, decode.d8.loss_cls: 0.3109, decode.d8.loss_mask: 0.5027, decode.d8.loss_dice: 0.7591, loss: 17.0821, grad_norm: 45.9337 2023-11-12 07:08:05,774 - mmseg - INFO - Iter [59600/160000] lr: 6.275e-05, eta: 14:06:57, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2883, decode.loss_mask: 0.5344, decode.loss_dice: 0.7886, decode.d0.loss_cls: 1.2643, decode.d0.loss_mask: 0.5685, decode.d0.loss_dice: 0.8538, decode.d1.loss_cls: 0.3654, decode.d1.loss_mask: 0.5483, decode.d1.loss_dice: 0.8321, decode.d2.loss_cls: 0.3269, decode.d2.loss_mask: 0.5386, decode.d2.loss_dice: 0.8057, decode.d3.loss_cls: 0.3043, decode.d3.loss_mask: 0.5392, decode.d3.loss_dice: 0.7894, decode.d4.loss_cls: 0.2891, decode.d4.loss_mask: 0.5367, decode.d4.loss_dice: 0.7913, decode.d5.loss_cls: 0.2869, decode.d5.loss_mask: 0.5352, decode.d5.loss_dice: 0.7906, decode.d6.loss_cls: 0.2926, decode.d6.loss_mask: 0.5348, decode.d6.loss_dice: 0.7858, decode.d7.loss_cls: 0.2820, decode.d7.loss_mask: 0.5351, decode.d7.loss_dice: 0.7843, decode.d8.loss_cls: 0.2858, decode.d8.loss_mask: 0.5341, decode.d8.loss_dice: 0.7861, loss: 17.3982, grad_norm: 46.2929 2023-11-12 07:08:29,628 - mmseg - INFO - Iter [59650/160000] lr: 6.272e-05, eta: 14:06:29, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2961, decode.loss_mask: 0.5084, decode.loss_dice: 0.7712, decode.d0.loss_cls: 1.3021, decode.d0.loss_mask: 0.5401, decode.d0.loss_dice: 0.8442, decode.d1.loss_cls: 0.3789, decode.d1.loss_mask: 0.5280, decode.d1.loss_dice: 0.8132, decode.d2.loss_cls: 0.3365, decode.d2.loss_mask: 0.5133, decode.d2.loss_dice: 0.7984, decode.d3.loss_cls: 0.3137, decode.d3.loss_mask: 0.5113, decode.d3.loss_dice: 0.7794, decode.d4.loss_cls: 0.3040, decode.d4.loss_mask: 0.5073, decode.d4.loss_dice: 0.7794, decode.d5.loss_cls: 0.3051, decode.d5.loss_mask: 0.5080, decode.d5.loss_dice: 0.7756, decode.d6.loss_cls: 0.2998, decode.d6.loss_mask: 0.5080, decode.d6.loss_dice: 0.7725, decode.d7.loss_cls: 0.3025, decode.d7.loss_mask: 0.5072, decode.d7.loss_dice: 0.7734, decode.d8.loss_cls: 0.2991, decode.d8.loss_mask: 0.5078, decode.d8.loss_dice: 0.7721, loss: 17.1565, grad_norm: 44.3413 2023-11-12 07:08:53,506 - mmseg - INFO - Iter [59700/160000] lr: 6.269e-05, eta: 14:06:02, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2951, decode.loss_mask: 0.5395, decode.loss_dice: 0.7839, decode.d0.loss_cls: 1.2647, decode.d0.loss_mask: 0.5796, decode.d0.loss_dice: 0.8528, decode.d1.loss_cls: 0.3730, decode.d1.loss_mask: 0.5656, decode.d1.loss_dice: 0.8226, decode.d2.loss_cls: 0.3223, decode.d2.loss_mask: 0.5561, decode.d2.loss_dice: 0.7996, decode.d3.loss_cls: 0.3131, decode.d3.loss_mask: 0.5477, decode.d3.loss_dice: 0.7840, decode.d4.loss_cls: 0.3021, decode.d4.loss_mask: 0.5444, decode.d4.loss_dice: 0.7879, decode.d5.loss_cls: 0.2986, decode.d5.loss_mask: 0.5479, decode.d5.loss_dice: 0.7844, decode.d6.loss_cls: 0.2953, decode.d6.loss_mask: 0.5440, decode.d6.loss_dice: 0.7808, decode.d7.loss_cls: 0.2930, decode.d7.loss_mask: 0.5450, decode.d7.loss_dice: 0.7856, decode.d8.loss_cls: 0.2942, decode.d8.loss_mask: 0.5439, decode.d8.loss_dice: 0.7839, loss: 17.5307, grad_norm: 49.3290 2023-11-12 07:09:17,896 - mmseg - INFO - Iter [59750/160000] lr: 6.266e-05, eta: 14:05:35, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3102, decode.loss_mask: 0.5203, decode.loss_dice: 0.7837, decode.d0.loss_cls: 1.3052, decode.d0.loss_mask: 0.5539, decode.d0.loss_dice: 0.8548, decode.d1.loss_cls: 0.3802, decode.d1.loss_mask: 0.5401, decode.d1.loss_dice: 0.8352, decode.d2.loss_cls: 0.3451, decode.d2.loss_mask: 0.5312, decode.d2.loss_dice: 0.8086, decode.d3.loss_cls: 0.3366, decode.d3.loss_mask: 0.5219, decode.d3.loss_dice: 0.7943, decode.d4.loss_cls: 0.3275, decode.d4.loss_mask: 0.5214, decode.d4.loss_dice: 0.7902, decode.d5.loss_cls: 0.3176, decode.d5.loss_mask: 0.5234, decode.d5.loss_dice: 0.7929, decode.d6.loss_cls: 0.3117, decode.d6.loss_mask: 0.5220, decode.d6.loss_dice: 0.7869, decode.d7.loss_cls: 0.3100, decode.d7.loss_mask: 0.5243, decode.d7.loss_dice: 0.7867, decode.d8.loss_cls: 0.3100, decode.d8.loss_mask: 0.5239, decode.d8.loss_dice: 0.7858, loss: 17.5557, grad_norm: 48.1990 2023-11-12 07:09:41,763 - mmseg - INFO - Iter [59800/160000] lr: 6.263e-05, eta: 14:05:07, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2885, decode.loss_mask: 0.5232, decode.loss_dice: 0.7888, decode.d0.loss_cls: 1.2862, decode.d0.loss_mask: 0.5580, decode.d0.loss_dice: 0.8717, decode.d1.loss_cls: 0.3838, decode.d1.loss_mask: 0.5431, decode.d1.loss_dice: 0.8340, decode.d2.loss_cls: 0.3333, decode.d2.loss_mask: 0.5288, decode.d2.loss_dice: 0.8124, decode.d3.loss_cls: 0.3141, decode.d3.loss_mask: 0.5275, decode.d3.loss_dice: 0.7927, decode.d4.loss_cls: 0.2996, decode.d4.loss_mask: 0.5265, decode.d4.loss_dice: 0.7927, decode.d5.loss_cls: 0.2992, decode.d5.loss_mask: 0.5243, decode.d5.loss_dice: 0.7927, decode.d6.loss_cls: 0.2922, decode.d6.loss_mask: 0.5239, decode.d6.loss_dice: 0.7921, decode.d7.loss_cls: 0.2891, decode.d7.loss_mask: 0.5233, decode.d7.loss_dice: 0.7903, decode.d8.loss_cls: 0.2916, decode.d8.loss_mask: 0.5228, decode.d8.loss_dice: 0.7909, loss: 17.4371, grad_norm: 48.1743 2023-11-12 07:10:05,629 - mmseg - INFO - Iter [59850/160000] lr: 6.259e-05, eta: 14:04:39, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2908, decode.loss_mask: 0.5403, decode.loss_dice: 0.8081, decode.d0.loss_cls: 1.2816, decode.d0.loss_mask: 0.5752, decode.d0.loss_dice: 0.8814, decode.d1.loss_cls: 0.3760, decode.d1.loss_mask: 0.5533, decode.d1.loss_dice: 0.8449, decode.d2.loss_cls: 0.3288, decode.d2.loss_mask: 0.5462, decode.d2.loss_dice: 0.8240, decode.d3.loss_cls: 0.3108, decode.d3.loss_mask: 0.5433, decode.d3.loss_dice: 0.8156, decode.d4.loss_cls: 0.3017, decode.d4.loss_mask: 0.5435, decode.d4.loss_dice: 0.8108, decode.d5.loss_cls: 0.3046, decode.d5.loss_mask: 0.5378, decode.d5.loss_dice: 0.8125, decode.d6.loss_cls: 0.2994, decode.d6.loss_mask: 0.5386, decode.d6.loss_dice: 0.8025, decode.d7.loss_cls: 0.2924, decode.d7.loss_mask: 0.5394, decode.d7.loss_dice: 0.8102, decode.d8.loss_cls: 0.2934, decode.d8.loss_mask: 0.5386, decode.d8.loss_dice: 0.8057, loss: 17.7510, grad_norm: 48.3704 2023-11-12 07:10:29,642 - mmseg - INFO - Iter [59900/160000] lr: 6.256e-05, eta: 14:04:12, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3290, decode.loss_mask: 0.5164, decode.loss_dice: 0.8036, decode.d0.loss_cls: 1.3292, decode.d0.loss_mask: 0.5546, decode.d0.loss_dice: 0.8847, decode.d1.loss_cls: 0.4031, decode.d1.loss_mask: 0.5388, decode.d1.loss_dice: 0.8507, decode.d2.loss_cls: 0.3665, decode.d2.loss_mask: 0.5203, decode.d2.loss_dice: 0.8178, decode.d3.loss_cls: 0.3526, decode.d3.loss_mask: 0.5169, decode.d3.loss_dice: 0.8061, decode.d4.loss_cls: 0.3395, decode.d4.loss_mask: 0.5177, decode.d4.loss_dice: 0.8091, decode.d5.loss_cls: 0.3398, decode.d5.loss_mask: 0.5174, decode.d5.loss_dice: 0.8048, decode.d6.loss_cls: 0.3387, decode.d6.loss_mask: 0.5165, decode.d6.loss_dice: 0.8021, decode.d7.loss_cls: 0.3306, decode.d7.loss_mask: 0.5161, decode.d7.loss_dice: 0.8015, decode.d8.loss_cls: 0.3343, decode.d8.loss_mask: 0.5151, decode.d8.loss_dice: 0.7979, loss: 17.8714, grad_norm: 48.2962 2023-11-12 07:10:53,946 - mmseg - INFO - Iter [59950/160000] lr: 6.253e-05, eta: 14:03:45, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3269, decode.loss_mask: 0.5181, decode.loss_dice: 0.7829, decode.d0.loss_cls: 1.3609, decode.d0.loss_mask: 0.5595, decode.d0.loss_dice: 0.8644, decode.d1.loss_cls: 0.4165, decode.d1.loss_mask: 0.5378, decode.d1.loss_dice: 0.8358, decode.d2.loss_cls: 0.3660, decode.d2.loss_mask: 0.5298, decode.d2.loss_dice: 0.8113, decode.d3.loss_cls: 0.3451, decode.d3.loss_mask: 0.5219, decode.d3.loss_dice: 0.7955, decode.d4.loss_cls: 0.3354, decode.d4.loss_mask: 0.5193, decode.d4.loss_dice: 0.7931, decode.d5.loss_cls: 0.3234, decode.d5.loss_mask: 0.5201, decode.d5.loss_dice: 0.7913, decode.d6.loss_cls: 0.3273, decode.d6.loss_mask: 0.5157, decode.d6.loss_dice: 0.7871, decode.d7.loss_cls: 0.3264, decode.d7.loss_mask: 0.5166, decode.d7.loss_dice: 0.7897, decode.d8.loss_cls: 0.3272, decode.d8.loss_mask: 0.5160, decode.d8.loss_dice: 0.7878, loss: 17.7487, grad_norm: 47.9958 2023-11-12 07:11:17,983 - mmseg - INFO - Saving checkpoint at 60000 iterations 2023-11-12 07:11:22,419 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 07:11:22,419 - mmseg - INFO - Iter [60000/160000] lr: 6.250e-05, eta: 14:03:25, time: 0.570, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3145, decode.loss_mask: 0.5169, decode.loss_dice: 0.7758, decode.d0.loss_cls: 1.3317, decode.d0.loss_mask: 0.5602, decode.d0.loss_dice: 0.8584, decode.d1.loss_cls: 0.3986, decode.d1.loss_mask: 0.5337, decode.d1.loss_dice: 0.8249, decode.d2.loss_cls: 0.3587, decode.d2.loss_mask: 0.5239, decode.d2.loss_dice: 0.7989, decode.d3.loss_cls: 0.3408, decode.d3.loss_mask: 0.5193, decode.d3.loss_dice: 0.7853, decode.d4.loss_cls: 0.3279, decode.d4.loss_mask: 0.5197, decode.d4.loss_dice: 0.7830, decode.d5.loss_cls: 0.3262, decode.d5.loss_mask: 0.5178, decode.d5.loss_dice: 0.7761, decode.d6.loss_cls: 0.3210, decode.d6.loss_mask: 0.5168, decode.d6.loss_dice: 0.7735, decode.d7.loss_cls: 0.3191, decode.d7.loss_mask: 0.5178, decode.d7.loss_dice: 0.7789, decode.d8.loss_cls: 0.3207, decode.d8.loss_mask: 0.5176, decode.d8.loss_dice: 0.7748, loss: 17.5327, grad_norm: 50.6846 2023-11-12 07:11:42,168 - mmseg - INFO - per class results: 2023-11-12 07:11:42,173 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.82 | 88.8 | | building | 82.4 | 91.39 | | sky | 94.7 | 97.21 | | floor | 82.73 | 90.23 | | tree | 75.04 | 86.47 | | ceiling | 84.4 | 91.15 | | road | 85.32 | 90.46 | | bed | 90.27 | 96.26 | | windowpane | 63.67 | 79.69 | | grass | 65.3 | 81.86 | | cabinet | 63.17 | 73.35 | | sidewalk | 69.74 | 82.44 | | person | 85.12 | 92.41 | | earth | 36.74 | 51.57 | | door | 54.33 | 67.53 | | table | 66.73 | 80.66 | | mountain | 62.03 | 73.88 | | plant | 53.8 | 65.8 | | curtain | 78.38 | 86.76 | | chair | 63.61 | 74.64 | | car | 86.66 | 92.77 | | water | 58.23 | 78.12 | | painting | 75.54 | 89.75 | | sofa | 67.95 | 78.08 | | shelf | 42.06 | 57.92 | | house | 44.57 | 60.82 | | sea | 71.3 | 89.38 | | mirror | 69.85 | 82.83 | | rug | 62.84 | 73.53 | | field | 26.11 | 44.63 | | armchair | 49.29 | 74.51 | | seat | 62.0 | 79.74 | | fence | 43.41 | 63.95 | | desk | 54.33 | 69.99 | | rock | 46.58 | 72.6 | | wardrobe | 42.03 | 62.44 | | lamp | 71.94 | 82.6 | | bathtub | 78.66 | 86.68 | | railing | 33.93 | 51.52 | | cushion | 62.8 | 78.08 | | base | 38.2 | 63.79 | | box | 26.87 | 41.86 | | column | 43.34 | 56.24 | | signboard | 37.83 | 58.96 | | chest of drawers | 41.78 | 65.53 | | counter | 38.48 | 52.97 | | sand | 43.96 | 56.85 | | sink | 72.67 | 82.55 | | skyscraper | 37.85 | 49.11 | | fireplace | 74.44 | 90.4 | | refrigerator | 80.06 | 88.58 | | grandstand | 45.16 | 70.49 | | path | 26.57 | 39.12 | | stairs | 33.68 | 45.57 | | runway | 79.47 | 90.84 | | case | 53.77 | 84.4 | | pool table | 94.82 | 97.8 | | pillow | 60.53 | 69.85 | | screen door | 58.84 | 76.08 | | stairway | 38.43 | 47.11 | | river | 10.55 | 13.27 | | bridge | 74.91 | 86.05 | | bookcase | 40.49 | 60.88 | | blind | 44.46 | 50.15 | | coffee table | 62.08 | 85.69 | | toilet | 87.75 | 90.98 | | flower | 41.82 | 57.13 | | book | 51.08 | 75.24 | | hill | 6.51 | 14.34 | | bench | 57.55 | 75.31 | | countertop | 60.76 | 77.64 | | stove | 80.58 | 85.22 | | palm | 56.0 | 70.82 | | kitchen island | 60.71 | 87.69 | | computer | 70.82 | 76.73 | | swivel chair | 43.5 | 61.33 | | boat | 66.3 | 88.07 | | bar | 47.88 | 55.05 | | arcade machine | 43.89 | 47.75 | | hovel | 48.67 | 71.59 | | bus | 92.42 | 97.07 | | towel | 75.31 | 84.31 | | light | 62.24 | 75.83 | | truck | 39.75 | 56.65 | | tower | 36.88 | 62.42 | | chandelier | 70.92 | 84.08 | | awning | 39.76 | 50.28 | | streetlight | 41.9 | 62.34 | | booth | 37.58 | 38.38 | | television receiver | 70.94 | 80.82 | | airplane | 62.55 | 68.71 | | dirt track | 3.97 | 12.2 | | apparel | 31.12 | 45.95 | | pole | 31.62 | 46.53 | | land | 7.16 | 9.84 | | bannister | 17.91 | 38.1 | | escalator | 54.9 | 73.47 | | ottoman | 56.19 | 71.27 | | bottle | 30.8 | 38.8 | | buffet | 41.21 | 53.56 | | poster | 33.8 | 49.33 | | stage | 16.94 | 27.53 | | van | 47.72 | 72.76 | | ship | 10.29 | 10.68 | | fountain | 20.45 | 21.78 | | conveyer belt | 45.67 | 74.93 | | canopy | 24.94 | 35.27 | | washer | 72.24 | 74.36 | | plaything | 51.98 | 67.99 | | swimming pool | 59.63 | 62.06 | | stool | 43.71 | 67.36 | | barrel | 86.86 | 94.74 | | basket | 46.17 | 60.86 | | waterfall | 61.35 | 92.47 | | tent | 95.78 | 98.01 | | bag | 20.65 | 29.48 | | minibike | 73.32 | 92.25 | | cradle | 85.44 | 97.01 | | oven | 21.12 | 69.14 | | ball | 51.3 | 66.44 | | food | 63.25 | 78.77 | | step | 17.26 | 26.98 | | tank | 53.62 | 65.35 | | trade name | 26.83 | 36.09 | | microwave | 37.29 | 40.7 | | pot | 49.83 | 61.04 | | animal | 63.09 | 66.0 | | bicycle | 62.33 | 80.98 | | lake | 0.02 | 0.02 | | dishwasher | 81.33 | 88.19 | | screen | 70.47 | 91.41 | | blanket | 35.71 | 47.34 | | sculpture | 63.88 | 84.4 | | hood | 68.78 | 84.48 | | sconce | 53.36 | 72.0 | | vase | 52.25 | 67.64 | | traffic light | 42.92 | 68.41 | | tray | 19.05 | 37.28 | | ashcan | 54.41 | 71.62 | | fan | 71.65 | 84.22 | | pier | 45.37 | 86.01 | | crt screen | 4.78 | 14.67 | | plate | 61.99 | 79.15 | | monitor | 9.37 | 12.0 | | bulletin board | 39.37 | 79.01 | | shower | 2.32 | 19.46 | | radiator | 70.44 | 81.13 | | glass | 22.75 | 25.8 | | clock | 38.43 | 46.51 | | flag | 45.62 | 53.97 | +---------------------+-------+-------+ 2023-11-12 07:11:42,173 - mmseg - INFO - Summary: 2023-11-12 07:11:42,174 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.92 | 52.48 | 66.25 | +-------+-------+-------+ 2023-11-12 07:11:42,259 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_56000.pth was removed 2023-11-12 07:11:45,860 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_60000.pth. 2023-11-12 07:11:45,861 - mmseg - INFO - Best mIoU is 0.5248 at 60000 iter. 2023-11-12 07:11:45,861 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 07:11:45,861 - mmseg - INFO - Iter(val) [250] aAcc: 0.8392, mIoU: 0.5248, mAcc: 0.6625, IoU.wall: 0.7882, IoU.building: 0.8240, IoU.sky: 0.9470, IoU.floor: 0.8273, IoU.tree: 0.7504, IoU.ceiling: 0.8440, IoU.road: 0.8532, IoU.bed : 0.9027, IoU.windowpane: 0.6367, IoU.grass: 0.6530, IoU.cabinet: 0.6317, IoU.sidewalk: 0.6974, IoU.person: 0.8512, IoU.earth: 0.3674, IoU.door: 0.5433, IoU.table: 0.6673, IoU.mountain: 0.6203, IoU.plant: 0.5380, IoU.curtain: 0.7838, IoU.chair: 0.6361, IoU.car: 0.8666, IoU.water: 0.5823, IoU.painting: 0.7554, IoU.sofa: 0.6795, IoU.shelf: 0.4206, IoU.house: 0.4457, IoU.sea: 0.7130, IoU.mirror: 0.6985, IoU.rug: 0.6284, IoU.field: 0.2611, IoU.armchair: 0.4929, IoU.seat: 0.6200, IoU.fence: 0.4341, IoU.desk: 0.5433, IoU.rock: 0.4658, IoU.wardrobe: 0.4203, IoU.lamp: 0.7194, IoU.bathtub: 0.7866, IoU.railing: 0.3393, IoU.cushion: 0.6280, IoU.base: 0.3820, IoU.box: 0.2687, IoU.column: 0.4334, IoU.signboard: 0.3783, IoU.chest of drawers: 0.4178, IoU.counter: 0.3848, IoU.sand: 0.4396, IoU.sink: 0.7267, IoU.skyscraper: 0.3785, IoU.fireplace: 0.7444, IoU.refrigerator: 0.8006, IoU.grandstand: 0.4516, IoU.path: 0.2657, IoU.stairs: 0.3368, IoU.runway: 0.7947, IoU.case: 0.5377, IoU.pool table: 0.9482, IoU.pillow: 0.6053, IoU.screen door: 0.5884, IoU.stairway: 0.3843, IoU.river: 0.1055, IoU.bridge: 0.7491, IoU.bookcase: 0.4049, IoU.blind: 0.4446, IoU.coffee table: 0.6208, IoU.toilet: 0.8775, IoU.flower: 0.4182, IoU.book: 0.5108, IoU.hill: 0.0651, IoU.bench: 0.5755, IoU.countertop: 0.6076, IoU.stove: 0.8058, IoU.palm: 0.5600, IoU.kitchen island: 0.6071, IoU.computer: 0.7082, IoU.swivel chair: 0.4350, IoU.boat: 0.6630, IoU.bar: 0.4788, IoU.arcade machine: 0.4389, IoU.hovel: 0.4867, IoU.bus: 0.9242, IoU.towel: 0.7531, IoU.light: 0.6224, IoU.truck: 0.3975, IoU.tower: 0.3688, IoU.chandelier: 0.7092, IoU.awning: 0.3976, IoU.streetlight: 0.4190, IoU.booth: 0.3758, IoU.television receiver: 0.7094, IoU.airplane: 0.6255, IoU.dirt track: 0.0397, IoU.apparel: 0.3112, IoU.pole: 0.3162, IoU.land: 0.0716, IoU.bannister: 0.1791, IoU.escalator: 0.5490, IoU.ottoman: 0.5619, IoU.bottle: 0.3080, IoU.buffet: 0.4121, IoU.poster: 0.3380, IoU.stage: 0.1694, IoU.van: 0.4772, IoU.ship: 0.1029, IoU.fountain: 0.2045, IoU.conveyer belt: 0.4567, IoU.canopy: 0.2494, IoU.washer: 0.7224, IoU.plaything: 0.5198, IoU.swimming pool: 0.5963, IoU.stool: 0.4371, IoU.barrel: 0.8686, IoU.basket: 0.4617, IoU.waterfall: 0.6135, IoU.tent: 0.9578, IoU.bag: 0.2065, IoU.minibike: 0.7332, IoU.cradle: 0.8544, IoU.oven: 0.2112, IoU.ball: 0.5130, IoU.food: 0.6325, IoU.step: 0.1726, IoU.tank: 0.5362, IoU.trade name: 0.2683, IoU.microwave: 0.3729, IoU.pot: 0.4983, IoU.animal: 0.6309, IoU.bicycle: 0.6233, IoU.lake: 0.0002, IoU.dishwasher: 0.8133, IoU.screen: 0.7047, IoU.blanket: 0.3571, IoU.sculpture: 0.6388, IoU.hood: 0.6878, IoU.sconce: 0.5336, IoU.vase: 0.5225, IoU.traffic light: 0.4292, IoU.tray: 0.1905, IoU.ashcan: 0.5441, IoU.fan: 0.7165, IoU.pier: 0.4537, IoU.crt screen: 0.0478, IoU.plate: 0.6199, IoU.monitor: 0.0937, IoU.bulletin board: 0.3937, IoU.shower: 0.0232, IoU.radiator: 0.7044, IoU.glass: 0.2275, IoU.clock: 0.3843, IoU.flag: 0.4562, Acc.wall: 0.8880, Acc.building: 0.9139, Acc.sky: 0.9721, Acc.floor: 0.9023, Acc.tree: 0.8647, Acc.ceiling: 0.9115, Acc.road: 0.9046, Acc.bed : 0.9626, Acc.windowpane: 0.7969, Acc.grass: 0.8186, Acc.cabinet: 0.7335, Acc.sidewalk: 0.8244, Acc.person: 0.9241, Acc.earth: 0.5157, Acc.door: 0.6753, Acc.table: 0.8066, Acc.mountain: 0.7388, Acc.plant: 0.6580, Acc.curtain: 0.8676, Acc.chair: 0.7464, Acc.car: 0.9277, Acc.water: 0.7812, Acc.painting: 0.8975, Acc.sofa: 0.7808, Acc.shelf: 0.5792, Acc.house: 0.6082, Acc.sea: 0.8938, Acc.mirror: 0.8283, Acc.rug: 0.7353, Acc.field: 0.4463, Acc.armchair: 0.7451, Acc.seat: 0.7974, Acc.fence: 0.6395, Acc.desk: 0.6999, Acc.rock: 0.7260, Acc.wardrobe: 0.6244, Acc.lamp: 0.8260, Acc.bathtub: 0.8668, Acc.railing: 0.5152, Acc.cushion: 0.7808, Acc.base: 0.6379, Acc.box: 0.4186, Acc.column: 0.5624, Acc.signboard: 0.5896, Acc.chest of drawers: 0.6553, Acc.counter: 0.5297, Acc.sand: 0.5685, Acc.sink: 0.8255, Acc.skyscraper: 0.4911, Acc.fireplace: 0.9040, Acc.refrigerator: 0.8858, Acc.grandstand: 0.7049, Acc.path: 0.3912, Acc.stairs: 0.4557, Acc.runway: 0.9084, Acc.case: 0.8440, Acc.pool table: 0.9780, Acc.pillow: 0.6985, Acc.screen door: 0.7608, Acc.stairway: 0.4711, Acc.river: 0.1327, Acc.bridge: 0.8605, Acc.bookcase: 0.6088, Acc.blind: 0.5015, Acc.coffee table: 0.8569, Acc.toilet: 0.9098, Acc.flower: 0.5713, Acc.book: 0.7524, Acc.hill: 0.1434, Acc.bench: 0.7531, Acc.countertop: 0.7764, Acc.stove: 0.8522, Acc.palm: 0.7082, Acc.kitchen island: 0.8769, Acc.computer: 0.7673, Acc.swivel chair: 0.6133, Acc.boat: 0.8807, Acc.bar: 0.5505, Acc.arcade machine: 0.4775, Acc.hovel: 0.7159, Acc.bus: 0.9707, Acc.towel: 0.8431, Acc.light: 0.7583, Acc.truck: 0.5665, Acc.tower: 0.6242, Acc.chandelier: 0.8408, Acc.awning: 0.5028, Acc.streetlight: 0.6234, Acc.booth: 0.3838, Acc.television receiver: 0.8082, Acc.airplane: 0.6871, Acc.dirt track: 0.1220, Acc.apparel: 0.4595, Acc.pole: 0.4653, Acc.land: 0.0984, Acc.bannister: 0.3810, Acc.escalator: 0.7347, Acc.ottoman: 0.7127, Acc.bottle: 0.3880, Acc.buffet: 0.5356, Acc.poster: 0.4933, Acc.stage: 0.2753, Acc.van: 0.7276, Acc.ship: 0.1068, Acc.fountain: 0.2178, Acc.conveyer belt: 0.7493, Acc.canopy: 0.3527, Acc.washer: 0.7436, Acc.plaything: 0.6799, Acc.swimming pool: 0.6206, Acc.stool: 0.6736, Acc.barrel: 0.9474, Acc.basket: 0.6086, Acc.waterfall: 0.9247, Acc.tent: 0.9801, Acc.bag: 0.2948, Acc.minibike: 0.9225, Acc.cradle: 0.9701, Acc.oven: 0.6914, Acc.ball: 0.6644, Acc.food: 0.7877, Acc.step: 0.2698, Acc.tank: 0.6535, Acc.trade name: 0.3609, Acc.microwave: 0.4070, Acc.pot: 0.6104, Acc.animal: 0.6600, Acc.bicycle: 0.8098, Acc.lake: 0.0002, Acc.dishwasher: 0.8819, Acc.screen: 0.9141, Acc.blanket: 0.4734, Acc.sculpture: 0.8440, Acc.hood: 0.8448, Acc.sconce: 0.7200, Acc.vase: 0.6764, Acc.traffic light: 0.6841, Acc.tray: 0.3728, Acc.ashcan: 0.7162, Acc.fan: 0.8422, Acc.pier: 0.8601, Acc.crt screen: 0.1467, Acc.plate: 0.7915, Acc.monitor: 0.1200, Acc.bulletin board: 0.7901, Acc.shower: 0.1946, Acc.radiator: 0.8113, Acc.glass: 0.2580, Acc.clock: 0.4651, Acc.flag: 0.5397 2023-11-12 07:12:09,749 - mmseg - INFO - Iter [60050/160000] lr: 6.247e-05, eta: 14:03:36, time: 0.946, data_time: 0.482, memory: 41146, decode.loss_cls: 0.2838, decode.loss_mask: 0.5117, decode.loss_dice: 0.7819, decode.d0.loss_cls: 1.2760, decode.d0.loss_mask: 0.5507, decode.d0.loss_dice: 0.8576, decode.d1.loss_cls: 0.3592, decode.d1.loss_mask: 0.5300, decode.d1.loss_dice: 0.8272, decode.d2.loss_cls: 0.3260, decode.d2.loss_mask: 0.5180, decode.d2.loss_dice: 0.7979, decode.d3.loss_cls: 0.3027, decode.d3.loss_mask: 0.5142, decode.d3.loss_dice: 0.7871, decode.d4.loss_cls: 0.2977, decode.d4.loss_mask: 0.5119, decode.d4.loss_dice: 0.7852, decode.d5.loss_cls: 0.2975, decode.d5.loss_mask: 0.5122, decode.d5.loss_dice: 0.7787, decode.d6.loss_cls: 0.2962, decode.d6.loss_mask: 0.5113, decode.d6.loss_dice: 0.7757, decode.d7.loss_cls: 0.2928, decode.d7.loss_mask: 0.5106, decode.d7.loss_dice: 0.7782, decode.d8.loss_cls: 0.2911, decode.d8.loss_mask: 0.5123, decode.d8.loss_dice: 0.7803, loss: 17.1557, grad_norm: 46.2173 2023-11-12 07:12:33,589 - mmseg - INFO - Iter [60100/160000] lr: 6.244e-05, eta: 14:03:08, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3114, decode.loss_mask: 0.5369, decode.loss_dice: 0.7700, decode.d0.loss_cls: 1.2730, decode.d0.loss_mask: 0.5775, decode.d0.loss_dice: 0.8608, decode.d1.loss_cls: 0.3864, decode.d1.loss_mask: 0.5558, decode.d1.loss_dice: 0.8191, decode.d2.loss_cls: 0.3453, decode.d2.loss_mask: 0.5445, decode.d2.loss_dice: 0.7897, decode.d3.loss_cls: 0.3324, decode.d3.loss_mask: 0.5408, decode.d3.loss_dice: 0.7792, decode.d4.loss_cls: 0.3187, decode.d4.loss_mask: 0.5435, decode.d4.loss_dice: 0.7796, decode.d5.loss_cls: 0.3172, decode.d5.loss_mask: 0.5403, decode.d5.loss_dice: 0.7829, decode.d6.loss_cls: 0.3121, decode.d6.loss_mask: 0.5434, decode.d6.loss_dice: 0.7733, decode.d7.loss_cls: 0.3096, decode.d7.loss_mask: 0.5383, decode.d7.loss_dice: 0.7737, decode.d8.loss_cls: 0.3109, decode.d8.loss_mask: 0.5393, decode.d8.loss_dice: 0.7709, loss: 17.5763, grad_norm: 51.8391 2023-11-12 07:12:57,444 - mmseg - INFO - Iter [60150/160000] lr: 6.241e-05, eta: 14:02:41, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2798, decode.loss_mask: 0.5152, decode.loss_dice: 0.7399, decode.d0.loss_cls: 1.2560, decode.d0.loss_mask: 0.5565, decode.d0.loss_dice: 0.8160, decode.d1.loss_cls: 0.3599, decode.d1.loss_mask: 0.5356, decode.d1.loss_dice: 0.7836, decode.d2.loss_cls: 0.3176, decode.d2.loss_mask: 0.5249, decode.d2.loss_dice: 0.7637, decode.d3.loss_cls: 0.3045, decode.d3.loss_mask: 0.5168, decode.d3.loss_dice: 0.7449, decode.d4.loss_cls: 0.3004, decode.d4.loss_mask: 0.5190, decode.d4.loss_dice: 0.7439, decode.d5.loss_cls: 0.2854, decode.d5.loss_mask: 0.5149, decode.d5.loss_dice: 0.7439, decode.d6.loss_cls: 0.2874, decode.d6.loss_mask: 0.5110, decode.d6.loss_dice: 0.7368, decode.d7.loss_cls: 0.2875, decode.d7.loss_mask: 0.5129, decode.d7.loss_dice: 0.7386, decode.d8.loss_cls: 0.2826, decode.d8.loss_mask: 0.5123, decode.d8.loss_dice: 0.7426, loss: 16.7339, grad_norm: 50.1721 2023-11-12 07:13:21,279 - mmseg - INFO - Iter [60200/160000] lr: 6.238e-05, eta: 14:02:13, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3051, decode.loss_mask: 0.5418, decode.loss_dice: 0.7855, decode.d0.loss_cls: 1.3105, decode.d0.loss_mask: 0.5805, decode.d0.loss_dice: 0.8663, decode.d1.loss_cls: 0.3718, decode.d1.loss_mask: 0.5666, decode.d1.loss_dice: 0.8331, decode.d2.loss_cls: 0.3343, decode.d2.loss_mask: 0.5500, decode.d2.loss_dice: 0.8126, decode.d3.loss_cls: 0.3187, decode.d3.loss_mask: 0.5471, decode.d3.loss_dice: 0.7931, decode.d4.loss_cls: 0.3116, decode.d4.loss_mask: 0.5475, decode.d4.loss_dice: 0.7948, decode.d5.loss_cls: 0.3063, decode.d5.loss_mask: 0.5453, decode.d5.loss_dice: 0.7950, decode.d6.loss_cls: 0.3075, decode.d6.loss_mask: 0.5453, decode.d6.loss_dice: 0.7864, decode.d7.loss_cls: 0.3060, decode.d7.loss_mask: 0.5462, decode.d7.loss_dice: 0.7884, decode.d8.loss_cls: 0.3040, decode.d8.loss_mask: 0.5443, decode.d8.loss_dice: 0.7895, loss: 17.7349, grad_norm: 45.6829 2023-11-12 07:13:45,206 - mmseg - INFO - Iter [60250/160000] lr: 6.234e-05, eta: 14:01:45, time: 0.479, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2995, decode.loss_mask: 0.5094, decode.loss_dice: 0.7536, decode.d0.loss_cls: 1.2913, decode.d0.loss_mask: 0.5461, decode.d0.loss_dice: 0.8360, decode.d1.loss_cls: 0.3760, decode.d1.loss_mask: 0.5251, decode.d1.loss_dice: 0.7992, decode.d2.loss_cls: 0.3384, decode.d2.loss_mask: 0.5147, decode.d2.loss_dice: 0.7781, decode.d3.loss_cls: 0.3168, decode.d3.loss_mask: 0.5144, decode.d3.loss_dice: 0.7648, decode.d4.loss_cls: 0.3139, decode.d4.loss_mask: 0.5114, decode.d4.loss_dice: 0.7674, decode.d5.loss_cls: 0.3073, decode.d5.loss_mask: 0.5100, decode.d5.loss_dice: 0.7637, decode.d6.loss_cls: 0.3057, decode.d6.loss_mask: 0.5094, decode.d6.loss_dice: 0.7542, decode.d7.loss_cls: 0.3010, decode.d7.loss_mask: 0.5106, decode.d7.loss_dice: 0.7589, decode.d8.loss_cls: 0.3040, decode.d8.loss_mask: 0.5088, decode.d8.loss_dice: 0.7608, loss: 17.0506, grad_norm: 43.1304 2023-11-12 07:14:09,375 - mmseg - INFO - Iter [60300/160000] lr: 6.231e-05, eta: 14:01:18, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3171, decode.loss_mask: 0.5319, decode.loss_dice: 0.7850, decode.d0.loss_cls: 1.3363, decode.d0.loss_mask: 0.5722, decode.d0.loss_dice: 0.8687, decode.d1.loss_cls: 0.4054, decode.d1.loss_mask: 0.5563, decode.d1.loss_dice: 0.8295, decode.d2.loss_cls: 0.3602, decode.d2.loss_mask: 0.5440, decode.d2.loss_dice: 0.8087, decode.d3.loss_cls: 0.3420, decode.d3.loss_mask: 0.5395, decode.d3.loss_dice: 0.7956, decode.d4.loss_cls: 0.3311, decode.d4.loss_mask: 0.5355, decode.d4.loss_dice: 0.7907, decode.d5.loss_cls: 0.3333, decode.d5.loss_mask: 0.5340, decode.d5.loss_dice: 0.7891, decode.d6.loss_cls: 0.3243, decode.d6.loss_mask: 0.5316, decode.d6.loss_dice: 0.7886, decode.d7.loss_cls: 0.3206, decode.d7.loss_mask: 0.5343, decode.d7.loss_dice: 0.7857, decode.d8.loss_cls: 0.3165, decode.d8.loss_mask: 0.5337, decode.d8.loss_dice: 0.7919, loss: 17.8333, grad_norm: 44.6702 2023-11-12 07:14:33,672 - mmseg - INFO - Iter [60350/160000] lr: 6.228e-05, eta: 14:00:51, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3030, decode.loss_mask: 0.5502, decode.loss_dice: 0.8113, decode.d0.loss_cls: 1.3418, decode.d0.loss_mask: 0.5879, decode.d0.loss_dice: 0.8989, decode.d1.loss_cls: 0.3911, decode.d1.loss_mask: 0.5713, decode.d1.loss_dice: 0.8591, decode.d2.loss_cls: 0.3470, decode.d2.loss_mask: 0.5607, decode.d2.loss_dice: 0.8366, decode.d3.loss_cls: 0.3273, decode.d3.loss_mask: 0.5517, decode.d3.loss_dice: 0.8160, decode.d4.loss_cls: 0.3182, decode.d4.loss_mask: 0.5505, decode.d4.loss_dice: 0.8191, decode.d5.loss_cls: 0.3091, decode.d5.loss_mask: 0.5502, decode.d5.loss_dice: 0.8175, decode.d6.loss_cls: 0.3071, decode.d6.loss_mask: 0.5500, decode.d6.loss_dice: 0.8127, decode.d7.loss_cls: 0.3041, decode.d7.loss_mask: 0.5495, decode.d7.loss_dice: 0.8111, decode.d8.loss_cls: 0.3006, decode.d8.loss_mask: 0.5499, decode.d8.loss_dice: 0.8157, loss: 18.1192, grad_norm: 47.1610 2023-11-12 07:14:57,755 - mmseg - INFO - Iter [60400/160000] lr: 6.225e-05, eta: 14:00:24, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3117, decode.loss_mask: 0.5193, decode.loss_dice: 0.7671, decode.d0.loss_cls: 1.2848, decode.d0.loss_mask: 0.5563, decode.d0.loss_dice: 0.8609, decode.d1.loss_cls: 0.3873, decode.d1.loss_mask: 0.5390, decode.d1.loss_dice: 0.8245, decode.d2.loss_cls: 0.3432, decode.d2.loss_mask: 0.5320, decode.d2.loss_dice: 0.7973, decode.d3.loss_cls: 0.3333, decode.d3.loss_mask: 0.5226, decode.d3.loss_dice: 0.7746, decode.d4.loss_cls: 0.3222, decode.d4.loss_mask: 0.5200, decode.d4.loss_dice: 0.7684, decode.d5.loss_cls: 0.3145, decode.d5.loss_mask: 0.5196, decode.d5.loss_dice: 0.7777, decode.d6.loss_cls: 0.3141, decode.d6.loss_mask: 0.5170, decode.d6.loss_dice: 0.7664, decode.d7.loss_cls: 0.3068, decode.d7.loss_mask: 0.5178, decode.d7.loss_dice: 0.7716, decode.d8.loss_cls: 0.3110, decode.d8.loss_mask: 0.5169, decode.d8.loss_dice: 0.7725, loss: 17.3706, grad_norm: 45.1616 2023-11-12 07:15:21,710 - mmseg - INFO - Iter [60450/160000] lr: 6.222e-05, eta: 13:59:56, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3004, decode.loss_mask: 0.5279, decode.loss_dice: 0.7848, decode.d0.loss_cls: 1.3050, decode.d0.loss_mask: 0.5646, decode.d0.loss_dice: 0.8543, decode.d1.loss_cls: 0.3835, decode.d1.loss_mask: 0.5482, decode.d1.loss_dice: 0.8299, decode.d2.loss_cls: 0.3409, decode.d2.loss_mask: 0.5349, decode.d2.loss_dice: 0.8044, decode.d3.loss_cls: 0.3297, decode.d3.loss_mask: 0.5330, decode.d3.loss_dice: 0.7885, decode.d4.loss_cls: 0.3172, decode.d4.loss_mask: 0.5311, decode.d4.loss_dice: 0.7886, decode.d5.loss_cls: 0.3159, decode.d5.loss_mask: 0.5291, decode.d5.loss_dice: 0.7879, decode.d6.loss_cls: 0.3111, decode.d6.loss_mask: 0.5266, decode.d6.loss_dice: 0.7801, decode.d7.loss_cls: 0.3114, decode.d7.loss_mask: 0.5277, decode.d7.loss_dice: 0.7798, decode.d8.loss_cls: 0.3071, decode.d8.loss_mask: 0.5297, decode.d8.loss_dice: 0.7821, loss: 17.5555, grad_norm: 45.5142 2023-11-12 07:15:45,592 - mmseg - INFO - Iter [60500/160000] lr: 6.219e-05, eta: 13:59:29, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3114, decode.loss_mask: 0.5181, decode.loss_dice: 0.7932, decode.d0.loss_cls: 1.3037, decode.d0.loss_mask: 0.5478, decode.d0.loss_dice: 0.8674, decode.d1.loss_cls: 0.3956, decode.d1.loss_mask: 0.5319, decode.d1.loss_dice: 0.8382, decode.d2.loss_cls: 0.3527, decode.d2.loss_mask: 0.5255, decode.d2.loss_dice: 0.8075, decode.d3.loss_cls: 0.3283, decode.d3.loss_mask: 0.5206, decode.d3.loss_dice: 0.7998, decode.d4.loss_cls: 0.3212, decode.d4.loss_mask: 0.5196, decode.d4.loss_dice: 0.7960, decode.d5.loss_cls: 0.3171, decode.d5.loss_mask: 0.5191, decode.d5.loss_dice: 0.7958, decode.d6.loss_cls: 0.3149, decode.d6.loss_mask: 0.5170, decode.d6.loss_dice: 0.7921, decode.d7.loss_cls: 0.3123, decode.d7.loss_mask: 0.5155, decode.d7.loss_dice: 0.7922, decode.d8.loss_cls: 0.3149, decode.d8.loss_mask: 0.5176, decode.d8.loss_dice: 0.7916, loss: 17.5787, grad_norm: 49.7182 2023-11-12 07:16:09,436 - mmseg - INFO - Iter [60550/160000] lr: 6.216e-05, eta: 13:59:01, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3013, decode.loss_mask: 0.5438, decode.loss_dice: 0.7862, decode.d0.loss_cls: 1.2833, decode.d0.loss_mask: 0.5841, decode.d0.loss_dice: 0.8661, decode.d1.loss_cls: 0.3745, decode.d1.loss_mask: 0.5594, decode.d1.loss_dice: 0.8318, decode.d2.loss_cls: 0.3304, decode.d2.loss_mask: 0.5519, decode.d2.loss_dice: 0.8106, decode.d3.loss_cls: 0.3169, decode.d3.loss_mask: 0.5447, decode.d3.loss_dice: 0.7917, decode.d4.loss_cls: 0.3118, decode.d4.loss_mask: 0.5454, decode.d4.loss_dice: 0.7901, decode.d5.loss_cls: 0.3081, decode.d5.loss_mask: 0.5435, decode.d5.loss_dice: 0.7866, decode.d6.loss_cls: 0.3080, decode.d6.loss_mask: 0.5448, decode.d6.loss_dice: 0.7829, decode.d7.loss_cls: 0.3013, decode.d7.loss_mask: 0.5445, decode.d7.loss_dice: 0.7854, decode.d8.loss_cls: 0.3020, decode.d8.loss_mask: 0.5439, decode.d8.loss_dice: 0.7887, loss: 17.6638, grad_norm: 47.3955 2023-11-12 07:16:33,362 - mmseg - INFO - Iter [60600/160000] lr: 6.213e-05, eta: 13:58:33, time: 0.479, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3211, decode.loss_mask: 0.5079, decode.loss_dice: 0.7788, decode.d0.loss_cls: 1.3330, decode.d0.loss_mask: 0.5431, decode.d0.loss_dice: 0.8763, decode.d1.loss_cls: 0.3908, decode.d1.loss_mask: 0.5234, decode.d1.loss_dice: 0.8268, decode.d2.loss_cls: 0.3508, decode.d2.loss_mask: 0.5136, decode.d2.loss_dice: 0.8040, decode.d3.loss_cls: 0.3322, decode.d3.loss_mask: 0.5112, decode.d3.loss_dice: 0.7936, decode.d4.loss_cls: 0.3289, decode.d4.loss_mask: 0.5113, decode.d4.loss_dice: 0.7888, decode.d5.loss_cls: 0.3233, decode.d5.loss_mask: 0.5126, decode.d5.loss_dice: 0.7887, decode.d6.loss_cls: 0.3214, decode.d6.loss_mask: 0.5120, decode.d6.loss_dice: 0.7838, decode.d7.loss_cls: 0.3209, decode.d7.loss_mask: 0.5115, decode.d7.loss_dice: 0.7815, decode.d8.loss_cls: 0.3177, decode.d8.loss_mask: 0.5088, decode.d8.loss_dice: 0.7829, loss: 17.5008, grad_norm: 43.1054 2023-11-12 07:16:59,526 - mmseg - INFO - Iter [60650/160000] lr: 6.209e-05, eta: 13:58:09, time: 0.523, data_time: 0.059, memory: 41146, decode.loss_cls: 0.2992, decode.loss_mask: 0.5246, decode.loss_dice: 0.7770, decode.d0.loss_cls: 1.2792, decode.d0.loss_mask: 0.5637, decode.d0.loss_dice: 0.8508, decode.d1.loss_cls: 0.3688, decode.d1.loss_mask: 0.5408, decode.d1.loss_dice: 0.8158, decode.d2.loss_cls: 0.3304, decode.d2.loss_mask: 0.5316, decode.d2.loss_dice: 0.8024, decode.d3.loss_cls: 0.3194, decode.d3.loss_mask: 0.5276, decode.d3.loss_dice: 0.7851, decode.d4.loss_cls: 0.3069, decode.d4.loss_mask: 0.5265, decode.d4.loss_dice: 0.7839, decode.d5.loss_cls: 0.3054, decode.d5.loss_mask: 0.5252, decode.d5.loss_dice: 0.7829, decode.d6.loss_cls: 0.3066, decode.d6.loss_mask: 0.5232, decode.d6.loss_dice: 0.7779, decode.d7.loss_cls: 0.3092, decode.d7.loss_mask: 0.5249, decode.d7.loss_dice: 0.7783, decode.d8.loss_cls: 0.3020, decode.d8.loss_mask: 0.5255, decode.d8.loss_dice: 0.7789, loss: 17.3734, grad_norm: 49.1352 2023-11-12 07:17:23,361 - mmseg - INFO - Iter [60700/160000] lr: 6.206e-05, eta: 13:57:42, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2893, decode.loss_mask: 0.5166, decode.loss_dice: 0.7446, decode.d0.loss_cls: 1.2707, decode.d0.loss_mask: 0.5525, decode.d0.loss_dice: 0.8339, decode.d1.loss_cls: 0.3611, decode.d1.loss_mask: 0.5336, decode.d1.loss_dice: 0.7919, decode.d2.loss_cls: 0.3246, decode.d2.loss_mask: 0.5212, decode.d2.loss_dice: 0.7703, decode.d3.loss_cls: 0.3053, decode.d3.loss_mask: 0.5192, decode.d3.loss_dice: 0.7571, decode.d4.loss_cls: 0.3031, decode.d4.loss_mask: 0.5171, decode.d4.loss_dice: 0.7495, decode.d5.loss_cls: 0.2976, decode.d5.loss_mask: 0.5132, decode.d5.loss_dice: 0.7546, decode.d6.loss_cls: 0.2907, decode.d6.loss_mask: 0.5143, decode.d6.loss_dice: 0.7480, decode.d7.loss_cls: 0.2875, decode.d7.loss_mask: 0.5153, decode.d7.loss_dice: 0.7496, decode.d8.loss_cls: 0.2818, decode.d8.loss_mask: 0.5149, decode.d8.loss_dice: 0.7489, loss: 16.8780, grad_norm: 50.7948 2023-11-12 07:17:47,564 - mmseg - INFO - Iter [60750/160000] lr: 6.203e-05, eta: 13:57:15, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2965, decode.loss_mask: 0.5345, decode.loss_dice: 0.7878, decode.d0.loss_cls: 1.3163, decode.d0.loss_mask: 0.5671, decode.d0.loss_dice: 0.8667, decode.d1.loss_cls: 0.3721, decode.d1.loss_mask: 0.5551, decode.d1.loss_dice: 0.8321, decode.d2.loss_cls: 0.3342, decode.d2.loss_mask: 0.5469, decode.d2.loss_dice: 0.8096, decode.d3.loss_cls: 0.3193, decode.d3.loss_mask: 0.5379, decode.d3.loss_dice: 0.7942, decode.d4.loss_cls: 0.3066, decode.d4.loss_mask: 0.5411, decode.d4.loss_dice: 0.7957, decode.d5.loss_cls: 0.3039, decode.d5.loss_mask: 0.5373, decode.d5.loss_dice: 0.7971, decode.d6.loss_cls: 0.3045, decode.d6.loss_mask: 0.5350, decode.d6.loss_dice: 0.7891, decode.d7.loss_cls: 0.3011, decode.d7.loss_mask: 0.5352, decode.d7.loss_dice: 0.7866, decode.d8.loss_cls: 0.2965, decode.d8.loss_mask: 0.5342, decode.d8.loss_dice: 0.7956, loss: 17.6297, grad_norm: 46.9562 2023-11-12 07:18:11,506 - mmseg - INFO - Iter [60800/160000] lr: 6.200e-05, eta: 13:56:47, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2813, decode.loss_mask: 0.5340, decode.loss_dice: 0.7626, decode.d0.loss_cls: 1.2913, decode.d0.loss_mask: 0.5752, decode.d0.loss_dice: 0.8472, decode.d1.loss_cls: 0.3560, decode.d1.loss_mask: 0.5582, decode.d1.loss_dice: 0.8121, decode.d2.loss_cls: 0.3168, decode.d2.loss_mask: 0.5444, decode.d2.loss_dice: 0.7911, decode.d3.loss_cls: 0.3033, decode.d3.loss_mask: 0.5396, decode.d3.loss_dice: 0.7836, decode.d4.loss_cls: 0.2936, decode.d4.loss_mask: 0.5383, decode.d4.loss_dice: 0.7792, decode.d5.loss_cls: 0.2863, decode.d5.loss_mask: 0.5386, decode.d5.loss_dice: 0.7761, decode.d6.loss_cls: 0.2863, decode.d6.loss_mask: 0.5367, decode.d6.loss_dice: 0.7711, decode.d7.loss_cls: 0.2876, decode.d7.loss_mask: 0.5354, decode.d7.loss_dice: 0.7670, decode.d8.loss_cls: 0.2786, decode.d8.loss_mask: 0.5349, decode.d8.loss_dice: 0.7668, loss: 17.2732, grad_norm: 47.5645 2023-11-12 07:18:35,541 - mmseg - INFO - Iter [60850/160000] lr: 6.197e-05, eta: 13:56:20, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2895, decode.loss_mask: 0.5334, decode.loss_dice: 0.7848, decode.d0.loss_cls: 1.2907, decode.d0.loss_mask: 0.5697, decode.d0.loss_dice: 0.8630, decode.d1.loss_cls: 0.3664, decode.d1.loss_mask: 0.5541, decode.d1.loss_dice: 0.8362, decode.d2.loss_cls: 0.3262, decode.d2.loss_mask: 0.5416, decode.d2.loss_dice: 0.8070, decode.d3.loss_cls: 0.3136, decode.d3.loss_mask: 0.5354, decode.d3.loss_dice: 0.7937, decode.d4.loss_cls: 0.3030, decode.d4.loss_mask: 0.5369, decode.d4.loss_dice: 0.7916, decode.d5.loss_cls: 0.2999, decode.d5.loss_mask: 0.5348, decode.d5.loss_dice: 0.7913, decode.d6.loss_cls: 0.2965, decode.d6.loss_mask: 0.5348, decode.d6.loss_dice: 0.7907, decode.d7.loss_cls: 0.2955, decode.d7.loss_mask: 0.5360, decode.d7.loss_dice: 0.7893, decode.d8.loss_cls: 0.2876, decode.d8.loss_mask: 0.5346, decode.d8.loss_dice: 0.7866, loss: 17.5144, grad_norm: 47.9145 2023-11-12 07:18:59,368 - mmseg - INFO - Iter [60900/160000] lr: 6.194e-05, eta: 13:55:52, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3004, decode.loss_mask: 0.5174, decode.loss_dice: 0.7702, decode.d0.loss_cls: 1.2875, decode.d0.loss_mask: 0.5537, decode.d0.loss_dice: 0.8509, decode.d1.loss_cls: 0.3689, decode.d1.loss_mask: 0.5355, decode.d1.loss_dice: 0.8130, decode.d2.loss_cls: 0.3295, decode.d2.loss_mask: 0.5242, decode.d2.loss_dice: 0.7893, decode.d3.loss_cls: 0.3113, decode.d3.loss_mask: 0.5196, decode.d3.loss_dice: 0.7808, decode.d4.loss_cls: 0.3020, decode.d4.loss_mask: 0.5191, decode.d4.loss_dice: 0.7773, decode.d5.loss_cls: 0.3012, decode.d5.loss_mask: 0.5185, decode.d5.loss_dice: 0.7759, decode.d6.loss_cls: 0.3018, decode.d6.loss_mask: 0.5179, decode.d6.loss_dice: 0.7724, decode.d7.loss_cls: 0.2932, decode.d7.loss_mask: 0.5190, decode.d7.loss_dice: 0.7723, decode.d8.loss_cls: 0.2931, decode.d8.loss_mask: 0.5179, decode.d8.loss_dice: 0.7760, loss: 17.2097, grad_norm: 48.4178 2023-11-12 07:19:23,124 - mmseg - INFO - Iter [60950/160000] lr: 6.191e-05, eta: 13:55:24, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2874, decode.loss_mask: 0.5407, decode.loss_dice: 0.7929, decode.d0.loss_cls: 1.3052, decode.d0.loss_mask: 0.5665, decode.d0.loss_dice: 0.8674, decode.d1.loss_cls: 0.3696, decode.d1.loss_mask: 0.5580, decode.d1.loss_dice: 0.8358, decode.d2.loss_cls: 0.3275, decode.d2.loss_mask: 0.5491, decode.d2.loss_dice: 0.8113, decode.d3.loss_cls: 0.3081, decode.d3.loss_mask: 0.5430, decode.d3.loss_dice: 0.7949, decode.d4.loss_cls: 0.2996, decode.d4.loss_mask: 0.5436, decode.d4.loss_dice: 0.7909, decode.d5.loss_cls: 0.3012, decode.d5.loss_mask: 0.5421, decode.d5.loss_dice: 0.7959, decode.d6.loss_cls: 0.2911, decode.d6.loss_mask: 0.5423, decode.d6.loss_dice: 0.7951, decode.d7.loss_cls: 0.2861, decode.d7.loss_mask: 0.5435, decode.d7.loss_dice: 0.7995, decode.d8.loss_cls: 0.2858, decode.d8.loss_mask: 0.5432, decode.d8.loss_dice: 0.7965, loss: 17.6137, grad_norm: 47.0949 2023-11-12 07:19:47,033 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 07:19:47,034 - mmseg - INFO - Iter [61000/160000] lr: 6.188e-05, eta: 13:54:57, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2847, decode.loss_mask: 0.5094, decode.loss_dice: 0.7755, decode.d0.loss_cls: 1.2757, decode.d0.loss_mask: 0.5432, decode.d0.loss_dice: 0.8475, decode.d1.loss_cls: 0.3601, decode.d1.loss_mask: 0.5283, decode.d1.loss_dice: 0.8274, decode.d2.loss_cls: 0.3181, decode.d2.loss_mask: 0.5186, decode.d2.loss_dice: 0.7945, decode.d3.loss_cls: 0.3007, decode.d3.loss_mask: 0.5139, decode.d3.loss_dice: 0.7846, decode.d4.loss_cls: 0.2920, decode.d4.loss_mask: 0.5097, decode.d4.loss_dice: 0.7840, decode.d5.loss_cls: 0.2869, decode.d5.loss_mask: 0.5121, decode.d5.loss_dice: 0.7869, decode.d6.loss_cls: 0.2867, decode.d6.loss_mask: 0.5107, decode.d6.loss_dice: 0.7793, decode.d7.loss_cls: 0.2871, decode.d7.loss_mask: 0.5083, decode.d7.loss_dice: 0.7779, decode.d8.loss_cls: 0.2815, decode.d8.loss_mask: 0.5117, decode.d8.loss_dice: 0.7818, loss: 17.0789, grad_norm: 46.9923 2023-11-12 07:20:11,086 - mmseg - INFO - Iter [61050/160000] lr: 6.184e-05, eta: 13:54:29, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3240, decode.loss_mask: 0.5161, decode.loss_dice: 0.7799, decode.d0.loss_cls: 1.3408, decode.d0.loss_mask: 0.5503, decode.d0.loss_dice: 0.8639, decode.d1.loss_cls: 0.4069, decode.d1.loss_mask: 0.5344, decode.d1.loss_dice: 0.8346, decode.d2.loss_cls: 0.3627, decode.d2.loss_mask: 0.5236, decode.d2.loss_dice: 0.8044, decode.d3.loss_cls: 0.3469, decode.d3.loss_mask: 0.5194, decode.d3.loss_dice: 0.7900, decode.d4.loss_cls: 0.3296, decode.d4.loss_mask: 0.5169, decode.d4.loss_dice: 0.7902, decode.d5.loss_cls: 0.3266, decode.d5.loss_mask: 0.5168, decode.d5.loss_dice: 0.7850, decode.d6.loss_cls: 0.3233, decode.d6.loss_mask: 0.5143, decode.d6.loss_dice: 0.7814, decode.d7.loss_cls: 0.3214, decode.d7.loss_mask: 0.5146, decode.d7.loss_dice: 0.7815, decode.d8.loss_cls: 0.3195, decode.d8.loss_mask: 0.5166, decode.d8.loss_dice: 0.7808, loss: 17.6164, grad_norm: 46.3855 2023-11-12 07:20:35,169 - mmseg - INFO - Iter [61100/160000] lr: 6.181e-05, eta: 13:54:02, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2951, decode.loss_mask: 0.5161, decode.loss_dice: 0.7793, decode.d0.loss_cls: 1.2986, decode.d0.loss_mask: 0.5589, decode.d0.loss_dice: 0.8608, decode.d1.loss_cls: 0.3849, decode.d1.loss_mask: 0.5377, decode.d1.loss_dice: 0.8250, decode.d2.loss_cls: 0.3393, decode.d2.loss_mask: 0.5254, decode.d2.loss_dice: 0.8020, decode.d3.loss_cls: 0.3216, decode.d3.loss_mask: 0.5201, decode.d3.loss_dice: 0.7857, decode.d4.loss_cls: 0.3072, decode.d4.loss_mask: 0.5204, decode.d4.loss_dice: 0.7826, decode.d5.loss_cls: 0.3020, decode.d5.loss_mask: 0.5211, decode.d5.loss_dice: 0.7860, decode.d6.loss_cls: 0.3050, decode.d6.loss_mask: 0.5159, decode.d6.loss_dice: 0.7740, decode.d7.loss_cls: 0.2964, decode.d7.loss_mask: 0.5181, decode.d7.loss_dice: 0.7790, decode.d8.loss_cls: 0.2974, decode.d8.loss_mask: 0.5165, decode.d8.loss_dice: 0.7775, loss: 17.3495, grad_norm: 49.7202 2023-11-12 07:20:59,365 - mmseg - INFO - Iter [61150/160000] lr: 6.178e-05, eta: 13:53:35, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2999, decode.loss_mask: 0.5179, decode.loss_dice: 0.7756, decode.d0.loss_cls: 1.3259, decode.d0.loss_mask: 0.5472, decode.d0.loss_dice: 0.8516, decode.d1.loss_cls: 0.3780, decode.d1.loss_mask: 0.5336, decode.d1.loss_dice: 0.8205, decode.d2.loss_cls: 0.3440, decode.d2.loss_mask: 0.5240, decode.d2.loss_dice: 0.7976, decode.d3.loss_cls: 0.3261, decode.d3.loss_mask: 0.5178, decode.d3.loss_dice: 0.7863, decode.d4.loss_cls: 0.3148, decode.d4.loss_mask: 0.5176, decode.d4.loss_dice: 0.7835, decode.d5.loss_cls: 0.3146, decode.d5.loss_mask: 0.5174, decode.d5.loss_dice: 0.7875, decode.d6.loss_cls: 0.3106, decode.d6.loss_mask: 0.5159, decode.d6.loss_dice: 0.7799, decode.d7.loss_cls: 0.3075, decode.d7.loss_mask: 0.5178, decode.d7.loss_dice: 0.7796, decode.d8.loss_cls: 0.3026, decode.d8.loss_mask: 0.5172, decode.d8.loss_dice: 0.7837, loss: 17.3958, grad_norm: 47.3347 2023-11-12 07:21:23,449 - mmseg - INFO - Iter [61200/160000] lr: 6.175e-05, eta: 13:53:08, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2653, decode.loss_mask: 0.5283, decode.loss_dice: 0.7561, decode.d0.loss_cls: 1.2355, decode.d0.loss_mask: 0.5605, decode.d0.loss_dice: 0.8275, decode.d1.loss_cls: 0.3445, decode.d1.loss_mask: 0.5404, decode.d1.loss_dice: 0.7997, decode.d2.loss_cls: 0.2985, decode.d2.loss_mask: 0.5369, decode.d2.loss_dice: 0.7756, decode.d3.loss_cls: 0.2836, decode.d3.loss_mask: 0.5313, decode.d3.loss_dice: 0.7644, decode.d4.loss_cls: 0.2821, decode.d4.loss_mask: 0.5283, decode.d4.loss_dice: 0.7606, decode.d5.loss_cls: 0.2746, decode.d5.loss_mask: 0.5296, decode.d5.loss_dice: 0.7608, decode.d6.loss_cls: 0.2727, decode.d6.loss_mask: 0.5297, decode.d6.loss_dice: 0.7545, decode.d7.loss_cls: 0.2700, decode.d7.loss_mask: 0.5304, decode.d7.loss_dice: 0.7588, decode.d8.loss_cls: 0.2646, decode.d8.loss_mask: 0.5274, decode.d8.loss_dice: 0.7595, loss: 16.8518, grad_norm: 46.8570 2023-11-12 07:21:47,466 - mmseg - INFO - Iter [61250/160000] lr: 6.172e-05, eta: 13:52:40, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2887, decode.loss_mask: 0.5510, decode.loss_dice: 0.8014, decode.d0.loss_cls: 1.3019, decode.d0.loss_mask: 0.5881, decode.d0.loss_dice: 0.8786, decode.d1.loss_cls: 0.3666, decode.d1.loss_mask: 0.5698, decode.d1.loss_dice: 0.8458, decode.d2.loss_cls: 0.3281, decode.d2.loss_mask: 0.5599, decode.d2.loss_dice: 0.8248, decode.d3.loss_cls: 0.3098, decode.d3.loss_mask: 0.5510, decode.d3.loss_dice: 0.8020, decode.d4.loss_cls: 0.2972, decode.d4.loss_mask: 0.5509, decode.d4.loss_dice: 0.8024, decode.d5.loss_cls: 0.2964, decode.d5.loss_mask: 0.5504, decode.d5.loss_dice: 0.8044, decode.d6.loss_cls: 0.2881, decode.d6.loss_mask: 0.5483, decode.d6.loss_dice: 0.7987, decode.d7.loss_cls: 0.2930, decode.d7.loss_mask: 0.5474, decode.d7.loss_dice: 0.7995, decode.d8.loss_cls: 0.2902, decode.d8.loss_mask: 0.5479, decode.d8.loss_dice: 0.7998, loss: 17.7822, grad_norm: 49.7104 2023-11-12 07:22:11,423 - mmseg - INFO - Iter [61300/160000] lr: 6.169e-05, eta: 13:52:13, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2949, decode.loss_mask: 0.5142, decode.loss_dice: 0.7685, decode.d0.loss_cls: 1.3103, decode.d0.loss_mask: 0.5509, decode.d0.loss_dice: 0.8486, decode.d1.loss_cls: 0.3773, decode.d1.loss_mask: 0.5329, decode.d1.loss_dice: 0.8053, decode.d2.loss_cls: 0.3426, decode.d2.loss_mask: 0.5151, decode.d2.loss_dice: 0.7794, decode.d3.loss_cls: 0.3155, decode.d3.loss_mask: 0.5125, decode.d3.loss_dice: 0.7687, decode.d4.loss_cls: 0.3078, decode.d4.loss_mask: 0.5146, decode.d4.loss_dice: 0.7727, decode.d5.loss_cls: 0.3075, decode.d5.loss_mask: 0.5136, decode.d5.loss_dice: 0.7714, decode.d6.loss_cls: 0.3019, decode.d6.loss_mask: 0.5161, decode.d6.loss_dice: 0.7652, decode.d7.loss_cls: 0.2989, decode.d7.loss_mask: 0.5156, decode.d7.loss_dice: 0.7677, decode.d8.loss_cls: 0.2970, decode.d8.loss_mask: 0.5139, decode.d8.loss_dice: 0.7681, loss: 17.1686, grad_norm: 48.0989 2023-11-12 07:22:35,235 - mmseg - INFO - Iter [61350/160000] lr: 6.166e-05, eta: 13:51:45, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3129, decode.loss_mask: 0.5255, decode.loss_dice: 0.7834, decode.d0.loss_cls: 1.3000, decode.d0.loss_mask: 0.5638, decode.d0.loss_dice: 0.8554, decode.d1.loss_cls: 0.3894, decode.d1.loss_mask: 0.5458, decode.d1.loss_dice: 0.8239, decode.d2.loss_cls: 0.3495, decode.d2.loss_mask: 0.5350, decode.d2.loss_dice: 0.8047, decode.d3.loss_cls: 0.3330, decode.d3.loss_mask: 0.5286, decode.d3.loss_dice: 0.7881, decode.d4.loss_cls: 0.3233, decode.d4.loss_mask: 0.5308, decode.d4.loss_dice: 0.7900, decode.d5.loss_cls: 0.3151, decode.d5.loss_mask: 0.5295, decode.d5.loss_dice: 0.7876, decode.d6.loss_cls: 0.3191, decode.d6.loss_mask: 0.5289, decode.d6.loss_dice: 0.7815, decode.d7.loss_cls: 0.3139, decode.d7.loss_mask: 0.5291, decode.d7.loss_dice: 0.7806, decode.d8.loss_cls: 0.3152, decode.d8.loss_mask: 0.5295, decode.d8.loss_dice: 0.7802, loss: 17.5932, grad_norm: 48.6718 2023-11-12 07:22:59,023 - mmseg - INFO - Iter [61400/160000] lr: 6.163e-05, eta: 13:51:17, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2829, decode.loss_mask: 0.5054, decode.loss_dice: 0.7653, decode.d0.loss_cls: 1.2706, decode.d0.loss_mask: 0.5357, decode.d0.loss_dice: 0.8284, decode.d1.loss_cls: 0.3705, decode.d1.loss_mask: 0.5215, decode.d1.loss_dice: 0.8012, decode.d2.loss_cls: 0.3349, decode.d2.loss_mask: 0.5110, decode.d2.loss_dice: 0.7770, decode.d3.loss_cls: 0.3095, decode.d3.loss_mask: 0.5089, decode.d3.loss_dice: 0.7646, decode.d4.loss_cls: 0.2967, decode.d4.loss_mask: 0.5101, decode.d4.loss_dice: 0.7641, decode.d5.loss_cls: 0.2910, decode.d5.loss_mask: 0.5085, decode.d5.loss_dice: 0.7619, decode.d6.loss_cls: 0.2891, decode.d6.loss_mask: 0.5068, decode.d6.loss_dice: 0.7610, decode.d7.loss_cls: 0.2870, decode.d7.loss_mask: 0.5068, decode.d7.loss_dice: 0.7645, decode.d8.loss_cls: 0.2868, decode.d8.loss_mask: 0.5057, decode.d8.loss_dice: 0.7637, loss: 16.8914, grad_norm: 45.6027 2023-11-12 07:23:22,925 - mmseg - INFO - Iter [61450/160000] lr: 6.159e-05, eta: 13:50:50, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2951, decode.loss_mask: 0.5096, decode.loss_dice: 0.7923, decode.d0.loss_cls: 1.3081, decode.d0.loss_mask: 0.5431, decode.d0.loss_dice: 0.8733, decode.d1.loss_cls: 0.3765, decode.d1.loss_mask: 0.5272, decode.d1.loss_dice: 0.8388, decode.d2.loss_cls: 0.3360, decode.d2.loss_mask: 0.5165, decode.d2.loss_dice: 0.8139, decode.d3.loss_cls: 0.3284, decode.d3.loss_mask: 0.5102, decode.d3.loss_dice: 0.8010, decode.d4.loss_cls: 0.3142, decode.d4.loss_mask: 0.5108, decode.d4.loss_dice: 0.8002, decode.d5.loss_cls: 0.3080, decode.d5.loss_mask: 0.5103, decode.d5.loss_dice: 0.7974, decode.d6.loss_cls: 0.3013, decode.d6.loss_mask: 0.5104, decode.d6.loss_dice: 0.7939, decode.d7.loss_cls: 0.3036, decode.d7.loss_mask: 0.5094, decode.d7.loss_dice: 0.7957, decode.d8.loss_cls: 0.3008, decode.d8.loss_mask: 0.5094, decode.d8.loss_dice: 0.7958, loss: 17.4311, grad_norm: 50.2864 2023-11-12 07:23:46,941 - mmseg - INFO - Iter [61500/160000] lr: 6.156e-05, eta: 13:50:23, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3098, decode.loss_mask: 0.5421, decode.loss_dice: 0.7920, decode.d0.loss_cls: 1.3168, decode.d0.loss_mask: 0.5821, decode.d0.loss_dice: 0.8707, decode.d1.loss_cls: 0.3755, decode.d1.loss_mask: 0.5659, decode.d1.loss_dice: 0.8400, decode.d2.loss_cls: 0.3365, decode.d2.loss_mask: 0.5513, decode.d2.loss_dice: 0.8201, decode.d3.loss_cls: 0.3273, decode.d3.loss_mask: 0.5431, decode.d3.loss_dice: 0.8045, decode.d4.loss_cls: 0.3200, decode.d4.loss_mask: 0.5447, decode.d4.loss_dice: 0.8031, decode.d5.loss_cls: 0.3162, decode.d5.loss_mask: 0.5434, decode.d5.loss_dice: 0.7973, decode.d6.loss_cls: 0.3115, decode.d6.loss_mask: 0.5426, decode.d6.loss_dice: 0.7968, decode.d7.loss_cls: 0.3110, decode.d7.loss_mask: 0.5401, decode.d7.loss_dice: 0.7946, decode.d8.loss_cls: 0.3103, decode.d8.loss_mask: 0.5405, decode.d8.loss_dice: 0.7945, loss: 17.8442, grad_norm: 47.4499 2023-11-12 07:24:10,832 - mmseg - INFO - Iter [61550/160000] lr: 6.153e-05, eta: 13:49:55, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2863, decode.loss_mask: 0.5230, decode.loss_dice: 0.7746, decode.d0.loss_cls: 1.2924, decode.d0.loss_mask: 0.5628, decode.d0.loss_dice: 0.8468, decode.d1.loss_cls: 0.3727, decode.d1.loss_mask: 0.5459, decode.d1.loss_dice: 0.8240, decode.d2.loss_cls: 0.3222, decode.d2.loss_mask: 0.5324, decode.d2.loss_dice: 0.7982, decode.d3.loss_cls: 0.3033, decode.d3.loss_mask: 0.5248, decode.d3.loss_dice: 0.7780, decode.d4.loss_cls: 0.3001, decode.d4.loss_mask: 0.5250, decode.d4.loss_dice: 0.7765, decode.d5.loss_cls: 0.2941, decode.d5.loss_mask: 0.5262, decode.d5.loss_dice: 0.7779, decode.d6.loss_cls: 0.2916, decode.d6.loss_mask: 0.5235, decode.d6.loss_dice: 0.7716, decode.d7.loss_cls: 0.2906, decode.d7.loss_mask: 0.5232, decode.d7.loss_dice: 0.7755, decode.d8.loss_cls: 0.2867, decode.d8.loss_mask: 0.5235, decode.d8.loss_dice: 0.7744, loss: 17.2478, grad_norm: 45.8271 2023-11-12 07:24:34,965 - mmseg - INFO - Iter [61600/160000] lr: 6.150e-05, eta: 13:49:28, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2938, decode.loss_mask: 0.5153, decode.loss_dice: 0.7536, decode.d0.loss_cls: 1.3022, decode.d0.loss_mask: 0.5519, decode.d0.loss_dice: 0.8338, decode.d1.loss_cls: 0.3589, decode.d1.loss_mask: 0.5366, decode.d1.loss_dice: 0.8081, decode.d2.loss_cls: 0.3260, decode.d2.loss_mask: 0.5207, decode.d2.loss_dice: 0.7746, decode.d3.loss_cls: 0.3099, decode.d3.loss_mask: 0.5201, decode.d3.loss_dice: 0.7620, decode.d4.loss_cls: 0.3056, decode.d4.loss_mask: 0.5178, decode.d4.loss_dice: 0.7615, decode.d5.loss_cls: 0.2923, decode.d5.loss_mask: 0.5179, decode.d5.loss_dice: 0.7616, decode.d6.loss_cls: 0.2911, decode.d6.loss_mask: 0.5163, decode.d6.loss_dice: 0.7570, decode.d7.loss_cls: 0.2967, decode.d7.loss_mask: 0.5172, decode.d7.loss_dice: 0.7588, decode.d8.loss_cls: 0.2890, decode.d8.loss_mask: 0.5176, decode.d8.loss_dice: 0.7611, loss: 17.0290, grad_norm: 50.5030 2023-11-12 07:24:58,815 - mmseg - INFO - Iter [61650/160000] lr: 6.147e-05, eta: 13:49:00, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2846, decode.loss_mask: 0.5432, decode.loss_dice: 0.7750, decode.d0.loss_cls: 1.2762, decode.d0.loss_mask: 0.5796, decode.d0.loss_dice: 0.8470, decode.d1.loss_cls: 0.3630, decode.d1.loss_mask: 0.5609, decode.d1.loss_dice: 0.8216, decode.d2.loss_cls: 0.3203, decode.d2.loss_mask: 0.5487, decode.d2.loss_dice: 0.8005, decode.d3.loss_cls: 0.3077, decode.d3.loss_mask: 0.5459, decode.d3.loss_dice: 0.7814, decode.d4.loss_cls: 0.2978, decode.d4.loss_mask: 0.5444, decode.d4.loss_dice: 0.7813, decode.d5.loss_cls: 0.2923, decode.d5.loss_mask: 0.5433, decode.d5.loss_dice: 0.7781, decode.d6.loss_cls: 0.2904, decode.d6.loss_mask: 0.5429, decode.d6.loss_dice: 0.7734, decode.d7.loss_cls: 0.2859, decode.d7.loss_mask: 0.5418, decode.d7.loss_dice: 0.7743, decode.d8.loss_cls: 0.2849, decode.d8.loss_mask: 0.5407, decode.d8.loss_dice: 0.7776, loss: 17.4047, grad_norm: 49.7132 2023-11-12 07:25:22,771 - mmseg - INFO - Iter [61700/160000] lr: 6.144e-05, eta: 13:48:33, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2802, decode.loss_mask: 0.5216, decode.loss_dice: 0.7734, decode.d0.loss_cls: 1.2787, decode.d0.loss_mask: 0.5542, decode.d0.loss_dice: 0.8468, decode.d1.loss_cls: 0.3560, decode.d1.loss_mask: 0.5393, decode.d1.loss_dice: 0.8159, decode.d2.loss_cls: 0.3254, decode.d2.loss_mask: 0.5307, decode.d2.loss_dice: 0.7932, decode.d3.loss_cls: 0.2995, decode.d3.loss_mask: 0.5241, decode.d3.loss_dice: 0.7764, decode.d4.loss_cls: 0.2933, decode.d4.loss_mask: 0.5249, decode.d4.loss_dice: 0.7815, decode.d5.loss_cls: 0.2893, decode.d5.loss_mask: 0.5203, decode.d5.loss_dice: 0.7787, decode.d6.loss_cls: 0.2884, decode.d6.loss_mask: 0.5213, decode.d6.loss_dice: 0.7723, decode.d7.loss_cls: 0.2841, decode.d7.loss_mask: 0.5208, decode.d7.loss_dice: 0.7726, decode.d8.loss_cls: 0.2816, decode.d8.loss_mask: 0.5204, decode.d8.loss_dice: 0.7771, loss: 17.1421, grad_norm: 45.6182 2023-11-12 07:25:46,650 - mmseg - INFO - Iter [61750/160000] lr: 6.141e-05, eta: 13:48:05, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3077, decode.loss_mask: 0.5198, decode.loss_dice: 0.7868, decode.d0.loss_cls: 1.3407, decode.d0.loss_mask: 0.5574, decode.d0.loss_dice: 0.8593, decode.d1.loss_cls: 0.3911, decode.d1.loss_mask: 0.5394, decode.d1.loss_dice: 0.8337, decode.d2.loss_cls: 0.3461, decode.d2.loss_mask: 0.5291, decode.d2.loss_dice: 0.8093, decode.d3.loss_cls: 0.3201, decode.d3.loss_mask: 0.5293, decode.d3.loss_dice: 0.7964, decode.d4.loss_cls: 0.3171, decode.d4.loss_mask: 0.5276, decode.d4.loss_dice: 0.7906, decode.d5.loss_cls: 0.3142, decode.d5.loss_mask: 0.5238, decode.d5.loss_dice: 0.7865, decode.d6.loss_cls: 0.3141, decode.d6.loss_mask: 0.5240, decode.d6.loss_dice: 0.7847, decode.d7.loss_cls: 0.3081, decode.d7.loss_mask: 0.5228, decode.d7.loss_dice: 0.7833, decode.d8.loss_cls: 0.3070, decode.d8.loss_mask: 0.5221, decode.d8.loss_dice: 0.7870, loss: 17.5792, grad_norm: 45.1660 2023-11-12 07:26:10,576 - mmseg - INFO - Iter [61800/160000] lr: 6.138e-05, eta: 13:47:38, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2722, decode.loss_mask: 0.5090, decode.loss_dice: 0.7880, decode.d0.loss_cls: 1.2724, decode.d0.loss_mask: 0.5451, decode.d0.loss_dice: 0.8716, decode.d1.loss_cls: 0.3415, decode.d1.loss_mask: 0.5290, decode.d1.loss_dice: 0.8377, decode.d2.loss_cls: 0.3029, decode.d2.loss_mask: 0.5166, decode.d2.loss_dice: 0.8106, decode.d3.loss_cls: 0.2892, decode.d3.loss_mask: 0.5084, decode.d3.loss_dice: 0.7967, decode.d4.loss_cls: 0.2797, decode.d4.loss_mask: 0.5091, decode.d4.loss_dice: 0.8018, decode.d5.loss_cls: 0.2725, decode.d5.loss_mask: 0.5123, decode.d5.loss_dice: 0.7928, decode.d6.loss_cls: 0.2775, decode.d6.loss_mask: 0.5096, decode.d6.loss_dice: 0.7915, decode.d7.loss_cls: 0.2724, decode.d7.loss_mask: 0.5088, decode.d7.loss_dice: 0.7928, decode.d8.loss_cls: 0.2736, decode.d8.loss_mask: 0.5095, decode.d8.loss_dice: 0.7932, loss: 17.0877, grad_norm: 46.5136 2023-11-12 07:26:34,645 - mmseg - INFO - Iter [61850/160000] lr: 6.134e-05, eta: 13:47:11, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2679, decode.loss_mask: 0.5053, decode.loss_dice: 0.7452, decode.d0.loss_cls: 1.2472, decode.d0.loss_mask: 0.5401, decode.d0.loss_dice: 0.8165, decode.d1.loss_cls: 0.3426, decode.d1.loss_mask: 0.5213, decode.d1.loss_dice: 0.7921, decode.d2.loss_cls: 0.3010, decode.d2.loss_mask: 0.5133, decode.d2.loss_dice: 0.7691, decode.d3.loss_cls: 0.2918, decode.d3.loss_mask: 0.5058, decode.d3.loss_dice: 0.7554, decode.d4.loss_cls: 0.2791, decode.d4.loss_mask: 0.5067, decode.d4.loss_dice: 0.7553, decode.d5.loss_cls: 0.2773, decode.d5.loss_mask: 0.5078, decode.d5.loss_dice: 0.7512, decode.d6.loss_cls: 0.2780, decode.d6.loss_mask: 0.5068, decode.d6.loss_dice: 0.7454, decode.d7.loss_cls: 0.2695, decode.d7.loss_mask: 0.5048, decode.d7.loss_dice: 0.7510, decode.d8.loss_cls: 0.2685, decode.d8.loss_mask: 0.5061, decode.d8.loss_dice: 0.7524, loss: 16.5746, grad_norm: 42.6961 2023-11-12 07:27:01,902 - mmseg - INFO - Iter [61900/160000] lr: 6.131e-05, eta: 13:46:48, time: 0.545, data_time: 0.059, memory: 41146, decode.loss_cls: 0.2840, decode.loss_mask: 0.5238, decode.loss_dice: 0.7833, decode.d0.loss_cls: 1.3049, decode.d0.loss_mask: 0.5542, decode.d0.loss_dice: 0.8629, decode.d1.loss_cls: 0.3599, decode.d1.loss_mask: 0.5356, decode.d1.loss_dice: 0.8331, decode.d2.loss_cls: 0.3235, decode.d2.loss_mask: 0.5264, decode.d2.loss_dice: 0.8028, decode.d3.loss_cls: 0.3054, decode.d3.loss_mask: 0.5260, decode.d3.loss_dice: 0.7924, decode.d4.loss_cls: 0.3009, decode.d4.loss_mask: 0.5253, decode.d4.loss_dice: 0.7911, decode.d5.loss_cls: 0.2927, decode.d5.loss_mask: 0.5255, decode.d5.loss_dice: 0.7903, decode.d6.loss_cls: 0.2933, decode.d6.loss_mask: 0.5257, decode.d6.loss_dice: 0.7845, decode.d7.loss_cls: 0.2880, decode.d7.loss_mask: 0.5248, decode.d7.loss_dice: 0.7855, decode.d8.loss_cls: 0.2839, decode.d8.loss_mask: 0.5219, decode.d8.loss_dice: 0.7880, loss: 17.3397, grad_norm: 47.1920 2023-11-12 07:27:26,502 - mmseg - INFO - Iter [61950/160000] lr: 6.128e-05, eta: 13:46:22, time: 0.492, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2911, decode.loss_mask: 0.5197, decode.loss_dice: 0.7635, decode.d0.loss_cls: 1.2691, decode.d0.loss_mask: 0.5566, decode.d0.loss_dice: 0.8375, decode.d1.loss_cls: 0.3530, decode.d1.loss_mask: 0.5373, decode.d1.loss_dice: 0.8089, decode.d2.loss_cls: 0.3216, decode.d2.loss_mask: 0.5247, decode.d2.loss_dice: 0.7819, decode.d3.loss_cls: 0.3069, decode.d3.loss_mask: 0.5215, decode.d3.loss_dice: 0.7721, decode.d4.loss_cls: 0.3024, decode.d4.loss_mask: 0.5219, decode.d4.loss_dice: 0.7692, decode.d5.loss_cls: 0.2961, decode.d5.loss_mask: 0.5222, decode.d5.loss_dice: 0.7701, decode.d6.loss_cls: 0.2909, decode.d6.loss_mask: 0.5196, decode.d6.loss_dice: 0.7613, decode.d7.loss_cls: 0.2909, decode.d7.loss_mask: 0.5210, decode.d7.loss_dice: 0.7604, decode.d8.loss_cls: 0.2861, decode.d8.loss_mask: 0.5213, decode.d8.loss_dice: 0.7635, loss: 17.0623, grad_norm: 47.1394 2023-11-12 07:27:50,662 - mmseg - INFO - Saving checkpoint at 62000 iterations 2023-11-12 07:27:54,323 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 07:27:54,323 - mmseg - INFO - Iter [62000/160000] lr: 6.125e-05, eta: 13:46:01, time: 0.557, data_time: 0.012, memory: 41146, decode.loss_cls: 0.3003, decode.loss_mask: 0.5181, decode.loss_dice: 0.7731, decode.d0.loss_cls: 1.3124, decode.d0.loss_mask: 0.5538, decode.d0.loss_dice: 0.8413, decode.d1.loss_cls: 0.3734, decode.d1.loss_mask: 0.5375, decode.d1.loss_dice: 0.8133, decode.d2.loss_cls: 0.3303, decode.d2.loss_mask: 0.5259, decode.d2.loss_dice: 0.7910, decode.d3.loss_cls: 0.3153, decode.d3.loss_mask: 0.5228, decode.d3.loss_dice: 0.7804, decode.d4.loss_cls: 0.3162, decode.d4.loss_mask: 0.5197, decode.d4.loss_dice: 0.7761, decode.d5.loss_cls: 0.3130, decode.d5.loss_mask: 0.5192, decode.d5.loss_dice: 0.7785, decode.d6.loss_cls: 0.3074, decode.d6.loss_mask: 0.5164, decode.d6.loss_dice: 0.7665, decode.d7.loss_cls: 0.3112, decode.d7.loss_mask: 0.5153, decode.d7.loss_dice: 0.7706, decode.d8.loss_cls: 0.3039, decode.d8.loss_mask: 0.5187, decode.d8.loss_dice: 0.7735, loss: 17.2951, grad_norm: 47.6993 2023-11-12 07:28:13,630 - mmseg - INFO - per class results: 2023-11-12 07:28:13,635 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.49 | 85.66 | | building | 82.38 | 91.32 | | sky | 94.58 | 97.44 | | floor | 82.99 | 91.76 | | tree | 75.87 | 86.78 | | ceiling | 83.36 | 94.03 | | road | 84.21 | 88.82 | | bed | 91.32 | 96.11 | | windowpane | 63.17 | 79.54 | | grass | 67.52 | 86.79 | | cabinet | 64.57 | 77.1 | | sidewalk | 66.21 | 82.75 | | person | 85.03 | 93.19 | | earth | 39.86 | 57.88 | | door | 52.21 | 74.1 | | table | 64.45 | 82.26 | | mountain | 59.63 | 72.94 | | plant | 55.56 | 70.48 | | curtain | 80.35 | 87.66 | | chair | 60.84 | 72.3 | | car | 83.97 | 90.72 | | water | 54.01 | 69.72 | | painting | 73.0 | 90.81 | | sofa | 71.31 | 83.64 | | shelf | 40.53 | 55.33 | | house | 32.92 | 41.58 | | sea | 64.8 | 90.59 | | mirror | 69.86 | 83.5 | | rug | 66.24 | 78.07 | | field | 24.19 | 34.32 | | armchair | 48.25 | 72.91 | | seat | 62.66 | 75.02 | | fence | 46.22 | 69.94 | | desk | 48.04 | 69.82 | | rock | 44.34 | 64.25 | | wardrobe | 40.36 | 60.2 | | lamp | 68.28 | 81.44 | | bathtub | 79.89 | 89.9 | | railing | 34.75 | 58.95 | | cushion | 63.05 | 77.14 | | base | 33.29 | 74.46 | | box | 27.59 | 44.82 | | column | 43.47 | 56.07 | | signboard | 38.68 | 60.23 | | chest of drawers | 42.9 | 61.78 | | counter | 35.68 | 43.28 | | sand | 39.23 | 50.8 | | sink | 77.17 | 83.9 | | skyscraper | 33.78 | 42.64 | | fireplace | 75.0 | 90.51 | | refrigerator | 85.12 | 90.68 | | grandstand | 43.98 | 66.82 | | path | 23.04 | 34.33 | | stairs | 32.07 | 40.44 | | runway | 84.12 | 96.3 | | case | 68.47 | 78.13 | | pool table | 94.92 | 97.54 | | pillow | 61.24 | 74.51 | | screen door | 61.91 | 79.21 | | stairway | 40.5 | 48.23 | | river | 9.59 | 13.87 | | bridge | 77.28 | 85.46 | | bookcase | 30.36 | 55.97 | | blind | 47.07 | 55.85 | | coffee table | 63.1 | 86.7 | | toilet | 86.75 | 92.02 | | flower | 41.42 | 60.06 | | book | 49.96 | 70.26 | | hill | 4.97 | 12.86 | | bench | 45.39 | 57.67 | | countertop | 58.03 | 79.25 | | stove | 83.98 | 89.97 | | palm | 56.14 | 68.02 | | kitchen island | 52.06 | 74.03 | | computer | 71.07 | 76.66 | | swivel chair | 41.08 | 59.64 | | boat | 47.78 | 50.38 | | bar | 35.81 | 37.01 | | arcade machine | 69.27 | 79.83 | | hovel | 36.26 | 51.54 | | bus | 94.25 | 96.93 | | towel | 69.21 | 78.54 | | light | 58.61 | 80.08 | | truck | 31.04 | 59.67 | | tower | 21.66 | 37.45 | | chandelier | 65.95 | 79.13 | | awning | 36.26 | 44.39 | | streetlight | 43.14 | 65.64 | | booth | 39.73 | 50.07 | | television receiver | 69.78 | 81.42 | | airplane | 64.44 | 72.41 | | dirt track | 20.36 | 34.34 | | apparel | 31.97 | 50.02 | | pole | 30.78 | 46.2 | | land | 4.9 | 6.1 | | bannister | 9.84 | 12.77 | | escalator | 24.64 | 26.41 | | ottoman | 57.63 | 78.23 | | bottle | 32.22 | 41.03 | | buffet | 40.64 | 42.66 | | poster | 21.63 | 28.28 | | stage | 19.52 | 28.22 | | van | 47.98 | 72.01 | | ship | 7.65 | 10.72 | | fountain | 21.31 | 21.82 | | conveyer belt | 43.76 | 65.05 | | canopy | 43.5 | 76.96 | | washer | 72.01 | 74.07 | | plaything | 42.99 | 68.16 | | swimming pool | 51.29 | 62.71 | | stool | 47.14 | 70.68 | | barrel | 88.41 | 96.8 | | basket | 49.22 | 60.65 | | waterfall | 45.93 | 53.64 | | tent | 76.67 | 98.05 | | bag | 15.89 | 22.32 | | minibike | 73.92 | 90.12 | | cradle | 86.13 | 97.3 | | oven | 23.03 | 64.97 | | ball | 36.48 | 44.24 | | food | 61.36 | 74.37 | | step | 17.83 | 27.68 | | tank | 42.44 | 55.25 | | trade name | 20.38 | 24.58 | | microwave | 41.51 | 45.57 | | pot | 49.62 | 59.41 | | animal | 61.63 | 62.97 | | bicycle | 54.95 | 75.05 | | lake | 0.02 | 0.02 | | dishwasher | 82.15 | 88.99 | | screen | 70.78 | 92.85 | | blanket | 27.99 | 37.33 | | sculpture | 66.87 | 86.86 | | hood | 74.46 | 92.43 | | sconce | 56.77 | 73.43 | | vase | 50.85 | 71.44 | | traffic light | 45.51 | 65.17 | | tray | 20.98 | 36.06 | | ashcan | 49.21 | 66.68 | | fan | 68.16 | 84.17 | | pier | 31.0 | 46.75 | | crt screen | 4.39 | 14.2 | | plate | 60.31 | 76.28 | | monitor | 9.16 | 15.41 | | bulletin board | 47.32 | 61.39 | | shower | 8.53 | 22.07 | | radiator | 69.91 | 81.61 | | glass | 22.48 | 24.49 | | clock | 53.75 | 66.4 | | flag | 47.13 | 54.54 | +---------------------+-------+-------+ 2023-11-12 07:28:13,635 - mmseg - INFO - Summary: 2023-11-12 07:28:13,635 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 83.6 | 51.18 | 64.35 | +------+-------+-------+ 2023-11-12 07:28:13,636 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 07:28:13,636 - mmseg - INFO - Iter(val) [250] aAcc: 0.8360, mIoU: 0.5118, mAcc: 0.6435, IoU.wall: 0.7849, IoU.building: 0.8238, IoU.sky: 0.9458, IoU.floor: 0.8299, IoU.tree: 0.7587, IoU.ceiling: 0.8336, IoU.road: 0.8421, IoU.bed : 0.9132, IoU.windowpane: 0.6317, IoU.grass: 0.6752, IoU.cabinet: 0.6457, IoU.sidewalk: 0.6621, IoU.person: 0.8503, IoU.earth: 0.3986, IoU.door: 0.5221, IoU.table: 0.6445, IoU.mountain: 0.5963, IoU.plant: 0.5556, IoU.curtain: 0.8035, IoU.chair: 0.6084, IoU.car: 0.8397, IoU.water: 0.5401, IoU.painting: 0.7300, IoU.sofa: 0.7131, IoU.shelf: 0.4053, IoU.house: 0.3292, IoU.sea: 0.6480, IoU.mirror: 0.6986, IoU.rug: 0.6624, IoU.field: 0.2419, IoU.armchair: 0.4825, IoU.seat: 0.6266, IoU.fence: 0.4622, IoU.desk: 0.4804, IoU.rock: 0.4434, IoU.wardrobe: 0.4036, IoU.lamp: 0.6828, IoU.bathtub: 0.7989, IoU.railing: 0.3475, IoU.cushion: 0.6305, IoU.base: 0.3329, IoU.box: 0.2759, IoU.column: 0.4347, IoU.signboard: 0.3868, IoU.chest of drawers: 0.4290, IoU.counter: 0.3568, IoU.sand: 0.3923, IoU.sink: 0.7717, IoU.skyscraper: 0.3378, IoU.fireplace: 0.7500, IoU.refrigerator: 0.8512, IoU.grandstand: 0.4398, IoU.path: 0.2304, IoU.stairs: 0.3207, IoU.runway: 0.8412, IoU.case: 0.6847, IoU.pool table: 0.9492, IoU.pillow: 0.6124, IoU.screen door: 0.6191, IoU.stairway: 0.4050, IoU.river: 0.0959, IoU.bridge: 0.7728, IoU.bookcase: 0.3036, IoU.blind: 0.4707, IoU.coffee table: 0.6310, IoU.toilet: 0.8675, IoU.flower: 0.4142, IoU.book: 0.4996, IoU.hill: 0.0497, IoU.bench: 0.4539, IoU.countertop: 0.5803, IoU.stove: 0.8398, IoU.palm: 0.5614, IoU.kitchen island: 0.5206, IoU.computer: 0.7107, IoU.swivel chair: 0.4108, IoU.boat: 0.4778, IoU.bar: 0.3581, IoU.arcade machine: 0.6927, IoU.hovel: 0.3626, IoU.bus: 0.9425, IoU.towel: 0.6921, IoU.light: 0.5861, IoU.truck: 0.3104, IoU.tower: 0.2166, IoU.chandelier: 0.6595, IoU.awning: 0.3626, IoU.streetlight: 0.4314, IoU.booth: 0.3973, IoU.television receiver: 0.6978, IoU.airplane: 0.6444, IoU.dirt track: 0.2036, IoU.apparel: 0.3197, IoU.pole: 0.3078, IoU.land: 0.0490, IoU.bannister: 0.0984, IoU.escalator: 0.2464, IoU.ottoman: 0.5763, IoU.bottle: 0.3222, IoU.buffet: 0.4064, IoU.poster: 0.2163, IoU.stage: 0.1952, IoU.van: 0.4798, IoU.ship: 0.0765, IoU.fountain: 0.2131, IoU.conveyer belt: 0.4376, IoU.canopy: 0.4350, IoU.washer: 0.7201, IoU.plaything: 0.4299, IoU.swimming pool: 0.5129, IoU.stool: 0.4714, IoU.barrel: 0.8841, IoU.basket: 0.4922, IoU.waterfall: 0.4593, IoU.tent: 0.7667, IoU.bag: 0.1589, IoU.minibike: 0.7392, IoU.cradle: 0.8613, IoU.oven: 0.2303, IoU.ball: 0.3648, IoU.food: 0.6136, IoU.step: 0.1783, IoU.tank: 0.4244, IoU.trade name: 0.2038, IoU.microwave: 0.4151, IoU.pot: 0.4962, IoU.animal: 0.6163, IoU.bicycle: 0.5495, IoU.lake: 0.0002, IoU.dishwasher: 0.8215, IoU.screen: 0.7078, IoU.blanket: 0.2799, IoU.sculpture: 0.6687, IoU.hood: 0.7446, IoU.sconce: 0.5677, IoU.vase: 0.5085, IoU.traffic light: 0.4551, IoU.tray: 0.2098, IoU.ashcan: 0.4921, IoU.fan: 0.6816, IoU.pier: 0.3100, IoU.crt screen: 0.0439, IoU.plate: 0.6031, IoU.monitor: 0.0916, IoU.bulletin board: 0.4732, IoU.shower: 0.0853, IoU.radiator: 0.6991, IoU.glass: 0.2248, IoU.clock: 0.5375, IoU.flag: 0.4713, Acc.wall: 0.8566, Acc.building: 0.9132, Acc.sky: 0.9744, Acc.floor: 0.9176, Acc.tree: 0.8678, Acc.ceiling: 0.9403, Acc.road: 0.8882, Acc.bed : 0.9611, Acc.windowpane: 0.7954, Acc.grass: 0.8679, Acc.cabinet: 0.7710, Acc.sidewalk: 0.8275, Acc.person: 0.9319, Acc.earth: 0.5788, Acc.door: 0.7410, Acc.table: 0.8226, Acc.mountain: 0.7294, Acc.plant: 0.7048, Acc.curtain: 0.8766, Acc.chair: 0.7230, Acc.car: 0.9072, Acc.water: 0.6972, Acc.painting: 0.9081, Acc.sofa: 0.8364, Acc.shelf: 0.5533, Acc.house: 0.4158, Acc.sea: 0.9059, Acc.mirror: 0.8350, Acc.rug: 0.7807, Acc.field: 0.3432, Acc.armchair: 0.7291, Acc.seat: 0.7502, Acc.fence: 0.6994, Acc.desk: 0.6982, Acc.rock: 0.6425, Acc.wardrobe: 0.6020, Acc.lamp: 0.8144, Acc.bathtub: 0.8990, Acc.railing: 0.5895, Acc.cushion: 0.7714, Acc.base: 0.7446, Acc.box: 0.4482, Acc.column: 0.5607, Acc.signboard: 0.6023, Acc.chest of drawers: 0.6178, Acc.counter: 0.4328, Acc.sand: 0.5080, Acc.sink: 0.8390, Acc.skyscraper: 0.4264, Acc.fireplace: 0.9051, Acc.refrigerator: 0.9068, Acc.grandstand: 0.6682, Acc.path: 0.3433, Acc.stairs: 0.4044, Acc.runway: 0.9630, Acc.case: 0.7813, Acc.pool table: 0.9754, Acc.pillow: 0.7451, Acc.screen door: 0.7921, Acc.stairway: 0.4823, Acc.river: 0.1387, Acc.bridge: 0.8546, Acc.bookcase: 0.5597, Acc.blind: 0.5585, Acc.coffee table: 0.8670, Acc.toilet: 0.9202, Acc.flower: 0.6006, Acc.book: 0.7026, Acc.hill: 0.1286, Acc.bench: 0.5767, Acc.countertop: 0.7925, Acc.stove: 0.8997, Acc.palm: 0.6802, Acc.kitchen island: 0.7403, Acc.computer: 0.7666, Acc.swivel chair: 0.5964, Acc.boat: 0.5038, Acc.bar: 0.3701, Acc.arcade machine: 0.7983, Acc.hovel: 0.5154, Acc.bus: 0.9693, Acc.towel: 0.7854, Acc.light: 0.8008, Acc.truck: 0.5967, Acc.tower: 0.3745, Acc.chandelier: 0.7913, Acc.awning: 0.4439, Acc.streetlight: 0.6564, Acc.booth: 0.5007, Acc.television receiver: 0.8142, Acc.airplane: 0.7241, Acc.dirt track: 0.3434, Acc.apparel: 0.5002, Acc.pole: 0.4620, Acc.land: 0.0610, Acc.bannister: 0.1277, Acc.escalator: 0.2641, Acc.ottoman: 0.7823, Acc.bottle: 0.4103, Acc.buffet: 0.4266, Acc.poster: 0.2828, Acc.stage: 0.2822, Acc.van: 0.7201, Acc.ship: 0.1072, Acc.fountain: 0.2182, Acc.conveyer belt: 0.6505, Acc.canopy: 0.7696, Acc.washer: 0.7407, Acc.plaything: 0.6816, Acc.swimming pool: 0.6271, Acc.stool: 0.7068, Acc.barrel: 0.9680, Acc.basket: 0.6065, Acc.waterfall: 0.5364, Acc.tent: 0.9805, Acc.bag: 0.2232, Acc.minibike: 0.9012, Acc.cradle: 0.9730, Acc.oven: 0.6497, Acc.ball: 0.4424, Acc.food: 0.7437, Acc.step: 0.2768, Acc.tank: 0.5525, Acc.trade name: 0.2458, Acc.microwave: 0.4557, Acc.pot: 0.5941, Acc.animal: 0.6297, Acc.bicycle: 0.7505, Acc.lake: 0.0002, Acc.dishwasher: 0.8899, Acc.screen: 0.9285, Acc.blanket: 0.3733, Acc.sculpture: 0.8686, Acc.hood: 0.9243, Acc.sconce: 0.7343, Acc.vase: 0.7144, Acc.traffic light: 0.6517, Acc.tray: 0.3606, Acc.ashcan: 0.6668, Acc.fan: 0.8417, Acc.pier: 0.4675, Acc.crt screen: 0.1420, Acc.plate: 0.7628, Acc.monitor: 0.1541, Acc.bulletin board: 0.6139, Acc.shower: 0.2207, Acc.radiator: 0.8161, Acc.glass: 0.2449, Acc.clock: 0.6640, Acc.flag: 0.5454 2023-11-12 07:28:37,489 - mmseg - INFO - Iter [62050/160000] lr: 6.122e-05, eta: 13:46:04, time: 0.863, data_time: 0.399, memory: 41146, decode.loss_cls: 0.3099, decode.loss_mask: 0.5225, decode.loss_dice: 0.7905, decode.d0.loss_cls: 1.3209, decode.d0.loss_mask: 0.5533, decode.d0.loss_dice: 0.8637, decode.d1.loss_cls: 0.3858, decode.d1.loss_mask: 0.5413, decode.d1.loss_dice: 0.8465, decode.d2.loss_cls: 0.3435, decode.d2.loss_mask: 0.5272, decode.d2.loss_dice: 0.8134, decode.d3.loss_cls: 0.3283, decode.d3.loss_mask: 0.5249, decode.d3.loss_dice: 0.8018, decode.d4.loss_cls: 0.3191, decode.d4.loss_mask: 0.5204, decode.d4.loss_dice: 0.7958, decode.d5.loss_cls: 0.3169, decode.d5.loss_mask: 0.5212, decode.d5.loss_dice: 0.7976, decode.d6.loss_cls: 0.3112, decode.d6.loss_mask: 0.5229, decode.d6.loss_dice: 0.7931, decode.d7.loss_cls: 0.3104, decode.d7.loss_mask: 0.5236, decode.d7.loss_dice: 0.7888, decode.d8.loss_cls: 0.3114, decode.d8.loss_mask: 0.5240, decode.d8.loss_dice: 0.7929, loss: 17.6229, grad_norm: 46.5330 2023-11-12 07:29:01,603 - mmseg - INFO - Iter [62100/160000] lr: 6.119e-05, eta: 13:45:37, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2745, decode.loss_mask: 0.5288, decode.loss_dice: 0.7783, decode.d0.loss_cls: 1.2872, decode.d0.loss_mask: 0.5701, decode.d0.loss_dice: 0.8509, decode.d1.loss_cls: 0.3537, decode.d1.loss_mask: 0.5498, decode.d1.loss_dice: 0.8247, decode.d2.loss_cls: 0.3175, decode.d2.loss_mask: 0.5400, decode.d2.loss_dice: 0.8013, decode.d3.loss_cls: 0.3035, decode.d3.loss_mask: 0.5350, decode.d3.loss_dice: 0.7850, decode.d4.loss_cls: 0.2864, decode.d4.loss_mask: 0.5350, decode.d4.loss_dice: 0.7865, decode.d5.loss_cls: 0.2863, decode.d5.loss_mask: 0.5327, decode.d5.loss_dice: 0.7821, decode.d6.loss_cls: 0.2833, decode.d6.loss_mask: 0.5289, decode.d6.loss_dice: 0.7772, decode.d7.loss_cls: 0.2746, decode.d7.loss_mask: 0.5276, decode.d7.loss_dice: 0.7779, decode.d8.loss_cls: 0.2772, decode.d8.loss_mask: 0.5291, decode.d8.loss_dice: 0.7822, loss: 17.2674, grad_norm: 46.4935 2023-11-12 07:29:25,557 - mmseg - INFO - Iter [62150/160000] lr: 6.116e-05, eta: 13:45:09, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2694, decode.loss_mask: 0.5156, decode.loss_dice: 0.7419, decode.d0.loss_cls: 1.2765, decode.d0.loss_mask: 0.5503, decode.d0.loss_dice: 0.8242, decode.d1.loss_cls: 0.3570, decode.d1.loss_mask: 0.5278, decode.d1.loss_dice: 0.7894, decode.d2.loss_cls: 0.3022, decode.d2.loss_mask: 0.5210, decode.d2.loss_dice: 0.7713, decode.d3.loss_cls: 0.2887, decode.d3.loss_mask: 0.5146, decode.d3.loss_dice: 0.7560, decode.d4.loss_cls: 0.2763, decode.d4.loss_mask: 0.5144, decode.d4.loss_dice: 0.7531, decode.d5.loss_cls: 0.2780, decode.d5.loss_mask: 0.5150, decode.d5.loss_dice: 0.7560, decode.d6.loss_cls: 0.2741, decode.d6.loss_mask: 0.5154, decode.d6.loss_dice: 0.7464, decode.d7.loss_cls: 0.2721, decode.d7.loss_mask: 0.5143, decode.d7.loss_dice: 0.7457, decode.d8.loss_cls: 0.2705, decode.d8.loss_mask: 0.5161, decode.d8.loss_dice: 0.7504, loss: 16.7040, grad_norm: 47.7292 2023-11-12 07:29:49,488 - mmseg - INFO - Iter [62200/160000] lr: 6.113e-05, eta: 13:44:42, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2937, decode.loss_mask: 0.5324, decode.loss_dice: 0.7910, decode.d0.loss_cls: 1.3011, decode.d0.loss_mask: 0.5696, decode.d0.loss_dice: 0.8642, decode.d1.loss_cls: 0.3635, decode.d1.loss_mask: 0.5472, decode.d1.loss_dice: 0.8286, decode.d2.loss_cls: 0.3300, decode.d2.loss_mask: 0.5383, decode.d2.loss_dice: 0.8065, decode.d3.loss_cls: 0.3156, decode.d3.loss_mask: 0.5324, decode.d3.loss_dice: 0.7931, decode.d4.loss_cls: 0.3138, decode.d4.loss_mask: 0.5314, decode.d4.loss_dice: 0.7935, decode.d5.loss_cls: 0.3105, decode.d5.loss_mask: 0.5313, decode.d5.loss_dice: 0.7872, decode.d6.loss_cls: 0.3081, decode.d6.loss_mask: 0.5292, decode.d6.loss_dice: 0.7807, decode.d7.loss_cls: 0.3014, decode.d7.loss_mask: 0.5313, decode.d7.loss_dice: 0.7824, decode.d8.loss_cls: 0.3018, decode.d8.loss_mask: 0.5313, decode.d8.loss_dice: 0.7862, loss: 17.5270, grad_norm: 45.8011 2023-11-12 07:30:13,558 - mmseg - INFO - Iter [62250/160000] lr: 6.109e-05, eta: 13:44:15, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2582, decode.loss_mask: 0.5022, decode.loss_dice: 0.7495, decode.d0.loss_cls: 1.2520, decode.d0.loss_mask: 0.5404, decode.d0.loss_dice: 0.8212, decode.d1.loss_cls: 0.3381, decode.d1.loss_mask: 0.5195, decode.d1.loss_dice: 0.7893, decode.d2.loss_cls: 0.2978, decode.d2.loss_mask: 0.5038, decode.d2.loss_dice: 0.7692, decode.d3.loss_cls: 0.2779, decode.d3.loss_mask: 0.5001, decode.d3.loss_dice: 0.7550, decode.d4.loss_cls: 0.2653, decode.d4.loss_mask: 0.5000, decode.d4.loss_dice: 0.7548, decode.d5.loss_cls: 0.2639, decode.d5.loss_mask: 0.5019, decode.d5.loss_dice: 0.7515, decode.d6.loss_cls: 0.2665, decode.d6.loss_mask: 0.5010, decode.d6.loss_dice: 0.7445, decode.d7.loss_cls: 0.2566, decode.d7.loss_mask: 0.5011, decode.d7.loss_dice: 0.7496, decode.d8.loss_cls: 0.2545, decode.d8.loss_mask: 0.5013, decode.d8.loss_dice: 0.7519, loss: 16.4388, grad_norm: 44.4717 2023-11-12 07:30:37,710 - mmseg - INFO - Iter [62300/160000] lr: 6.106e-05, eta: 13:43:47, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2901, decode.loss_mask: 0.5050, decode.loss_dice: 0.7667, decode.d0.loss_cls: 1.2926, decode.d0.loss_mask: 0.5417, decode.d0.loss_dice: 0.8486, decode.d1.loss_cls: 0.3732, decode.d1.loss_mask: 0.5208, decode.d1.loss_dice: 0.8050, decode.d2.loss_cls: 0.3251, decode.d2.loss_mask: 0.5140, decode.d2.loss_dice: 0.7882, decode.d3.loss_cls: 0.3079, decode.d3.loss_mask: 0.5074, decode.d3.loss_dice: 0.7676, decode.d4.loss_cls: 0.3053, decode.d4.loss_mask: 0.5063, decode.d4.loss_dice: 0.7712, decode.d5.loss_cls: 0.2993, decode.d5.loss_mask: 0.5063, decode.d5.loss_dice: 0.7737, decode.d6.loss_cls: 0.2970, decode.d6.loss_mask: 0.5050, decode.d6.loss_dice: 0.7660, decode.d7.loss_cls: 0.2945, decode.d7.loss_mask: 0.5029, decode.d7.loss_dice: 0.7666, decode.d8.loss_cls: 0.2924, decode.d8.loss_mask: 0.5041, decode.d8.loss_dice: 0.7664, loss: 17.0109, grad_norm: 46.4429 2023-11-12 07:31:01,833 - mmseg - INFO - Iter [62350/160000] lr: 6.103e-05, eta: 13:43:20, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2937, decode.loss_mask: 0.5193, decode.loss_dice: 0.7774, decode.d0.loss_cls: 1.3152, decode.d0.loss_mask: 0.5566, decode.d0.loss_dice: 0.8661, decode.d1.loss_cls: 0.3848, decode.d1.loss_mask: 0.5308, decode.d1.loss_dice: 0.8245, decode.d2.loss_cls: 0.3348, decode.d2.loss_mask: 0.5222, decode.d2.loss_dice: 0.8058, decode.d3.loss_cls: 0.3138, decode.d3.loss_mask: 0.5205, decode.d3.loss_dice: 0.7888, decode.d4.loss_cls: 0.3032, decode.d4.loss_mask: 0.5185, decode.d4.loss_dice: 0.7877, decode.d5.loss_cls: 0.3005, decode.d5.loss_mask: 0.5200, decode.d5.loss_dice: 0.7883, decode.d6.loss_cls: 0.2974, decode.d6.loss_mask: 0.5206, decode.d6.loss_dice: 0.7828, decode.d7.loss_cls: 0.2937, decode.d7.loss_mask: 0.5167, decode.d7.loss_dice: 0.7819, decode.d8.loss_cls: 0.2914, decode.d8.loss_mask: 0.5191, decode.d8.loss_dice: 0.7859, loss: 17.3617, grad_norm: 46.4241 2023-11-12 07:31:25,968 - mmseg - INFO - Iter [62400/160000] lr: 6.100e-05, eta: 13:42:53, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3089, decode.loss_mask: 0.5248, decode.loss_dice: 0.7865, decode.d0.loss_cls: 1.3071, decode.d0.loss_mask: 0.5672, decode.d0.loss_dice: 0.8616, decode.d1.loss_cls: 0.3851, decode.d1.loss_mask: 0.5448, decode.d1.loss_dice: 0.8265, decode.d2.loss_cls: 0.3423, decode.d2.loss_mask: 0.5356, decode.d2.loss_dice: 0.8070, decode.d3.loss_cls: 0.3325, decode.d3.loss_mask: 0.5319, decode.d3.loss_dice: 0.7936, decode.d4.loss_cls: 0.3210, decode.d4.loss_mask: 0.5268, decode.d4.loss_dice: 0.7866, decode.d5.loss_cls: 0.3164, decode.d5.loss_mask: 0.5286, decode.d5.loss_dice: 0.7919, decode.d6.loss_cls: 0.3131, decode.d6.loss_mask: 0.5274, decode.d6.loss_dice: 0.7848, decode.d7.loss_cls: 0.3092, decode.d7.loss_mask: 0.5275, decode.d7.loss_dice: 0.7891, decode.d8.loss_cls: 0.3098, decode.d8.loss_mask: 0.5258, decode.d8.loss_dice: 0.7845, loss: 17.5979, grad_norm: 47.0312 2023-11-12 07:31:49,882 - mmseg - INFO - Iter [62450/160000] lr: 6.097e-05, eta: 13:42:26, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2947, decode.loss_mask: 0.5114, decode.loss_dice: 0.7817, decode.d0.loss_cls: 1.2777, decode.d0.loss_mask: 0.5408, decode.d0.loss_dice: 0.8558, decode.d1.loss_cls: 0.3737, decode.d1.loss_mask: 0.5241, decode.d1.loss_dice: 0.8234, decode.d2.loss_cls: 0.3418, decode.d2.loss_mask: 0.5159, decode.d2.loss_dice: 0.7939, decode.d3.loss_cls: 0.3233, decode.d3.loss_mask: 0.5093, decode.d3.loss_dice: 0.7822, decode.d4.loss_cls: 0.3138, decode.d4.loss_mask: 0.5114, decode.d4.loss_dice: 0.7810, decode.d5.loss_cls: 0.3037, decode.d5.loss_mask: 0.5109, decode.d5.loss_dice: 0.7822, decode.d6.loss_cls: 0.3081, decode.d6.loss_mask: 0.5101, decode.d6.loss_dice: 0.7760, decode.d7.loss_cls: 0.3032, decode.d7.loss_mask: 0.5082, decode.d7.loss_dice: 0.7815, decode.d8.loss_cls: 0.2994, decode.d8.loss_mask: 0.5099, decode.d8.loss_dice: 0.7855, loss: 17.2346, grad_norm: 48.3841 2023-11-12 07:32:13,701 - mmseg - INFO - Iter [62500/160000] lr: 6.094e-05, eta: 13:41:58, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3137, decode.loss_mask: 0.5254, decode.loss_dice: 0.7836, decode.d0.loss_cls: 1.3337, decode.d0.loss_mask: 0.5531, decode.d0.loss_dice: 0.8608, decode.d1.loss_cls: 0.3970, decode.d1.loss_mask: 0.5375, decode.d1.loss_dice: 0.8236, decode.d2.loss_cls: 0.3522, decode.d2.loss_mask: 0.5319, decode.d2.loss_dice: 0.8022, decode.d3.loss_cls: 0.3297, decode.d3.loss_mask: 0.5276, decode.d3.loss_dice: 0.7882, decode.d4.loss_cls: 0.3204, decode.d4.loss_mask: 0.5247, decode.d4.loss_dice: 0.7852, decode.d5.loss_cls: 0.3175, decode.d5.loss_mask: 0.5247, decode.d5.loss_dice: 0.7845, decode.d6.loss_cls: 0.3161, decode.d6.loss_mask: 0.5241, decode.d6.loss_dice: 0.7843, decode.d7.loss_cls: 0.3102, decode.d7.loss_mask: 0.5242, decode.d7.loss_dice: 0.7818, decode.d8.loss_cls: 0.3135, decode.d8.loss_mask: 0.5273, decode.d8.loss_dice: 0.7801, loss: 17.5788, grad_norm: 49.1880 2023-11-12 07:32:37,512 - mmseg - INFO - Iter [62550/160000] lr: 6.091e-05, eta: 13:41:31, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2880, decode.loss_mask: 0.5137, decode.loss_dice: 0.7696, decode.d0.loss_cls: 1.3081, decode.d0.loss_mask: 0.5481, decode.d0.loss_dice: 0.8463, decode.d1.loss_cls: 0.3745, decode.d1.loss_mask: 0.5313, decode.d1.loss_dice: 0.8056, decode.d2.loss_cls: 0.3306, decode.d2.loss_mask: 0.5208, decode.d2.loss_dice: 0.7812, decode.d3.loss_cls: 0.3204, decode.d3.loss_mask: 0.5145, decode.d3.loss_dice: 0.7684, decode.d4.loss_cls: 0.3016, decode.d4.loss_mask: 0.5138, decode.d4.loss_dice: 0.7737, decode.d5.loss_cls: 0.2975, decode.d5.loss_mask: 0.5136, decode.d5.loss_dice: 0.7674, decode.d6.loss_cls: 0.2906, decode.d6.loss_mask: 0.5137, decode.d6.loss_dice: 0.7654, decode.d7.loss_cls: 0.2948, decode.d7.loss_mask: 0.5123, decode.d7.loss_dice: 0.7637, decode.d8.loss_cls: 0.2924, decode.d8.loss_mask: 0.5152, decode.d8.loss_dice: 0.7644, loss: 17.1009, grad_norm: 49.9603 2023-11-12 07:33:01,401 - mmseg - INFO - Iter [62600/160000] lr: 6.088e-05, eta: 13:41:03, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2907, decode.loss_mask: 0.5308, decode.loss_dice: 0.7778, decode.d0.loss_cls: 1.2863, decode.d0.loss_mask: 0.5549, decode.d0.loss_dice: 0.8404, decode.d1.loss_cls: 0.3702, decode.d1.loss_mask: 0.5457, decode.d1.loss_dice: 0.8212, decode.d2.loss_cls: 0.3296, decode.d2.loss_mask: 0.5341, decode.d2.loss_dice: 0.8036, decode.d3.loss_cls: 0.3150, decode.d3.loss_mask: 0.5282, decode.d3.loss_dice: 0.7892, decode.d4.loss_cls: 0.3097, decode.d4.loss_mask: 0.5287, decode.d4.loss_dice: 0.7798, decode.d5.loss_cls: 0.2959, decode.d5.loss_mask: 0.5314, decode.d5.loss_dice: 0.7815, decode.d6.loss_cls: 0.2994, decode.d6.loss_mask: 0.5263, decode.d6.loss_dice: 0.7758, decode.d7.loss_cls: 0.3001, decode.d7.loss_mask: 0.5287, decode.d7.loss_dice: 0.7746, decode.d8.loss_cls: 0.2935, decode.d8.loss_mask: 0.5287, decode.d8.loss_dice: 0.7773, loss: 17.3491, grad_norm: 53.0036 2023-11-12 07:33:25,498 - mmseg - INFO - Iter [62650/160000] lr: 6.084e-05, eta: 13:40:36, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2826, decode.loss_mask: 0.5263, decode.loss_dice: 0.7915, decode.d0.loss_cls: 1.2542, decode.d0.loss_mask: 0.5694, decode.d0.loss_dice: 0.8777, decode.d1.loss_cls: 0.3640, decode.d1.loss_mask: 0.5457, decode.d1.loss_dice: 0.8448, decode.d2.loss_cls: 0.3191, decode.d2.loss_mask: 0.5352, decode.d2.loss_dice: 0.8193, decode.d3.loss_cls: 0.3070, decode.d3.loss_mask: 0.5266, decode.d3.loss_dice: 0.8026, decode.d4.loss_cls: 0.2947, decode.d4.loss_mask: 0.5288, decode.d4.loss_dice: 0.8025, decode.d5.loss_cls: 0.2937, decode.d5.loss_mask: 0.5295, decode.d5.loss_dice: 0.8040, decode.d6.loss_cls: 0.2860, decode.d6.loss_mask: 0.5292, decode.d6.loss_dice: 0.7955, decode.d7.loss_cls: 0.2855, decode.d7.loss_mask: 0.5288, decode.d7.loss_dice: 0.7950, decode.d8.loss_cls: 0.2870, decode.d8.loss_mask: 0.5274, decode.d8.loss_dice: 0.7929, loss: 17.4465, grad_norm: 47.4371 2023-11-12 07:33:49,299 - mmseg - INFO - Iter [62700/160000] lr: 6.081e-05, eta: 13:40:08, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2741, decode.loss_mask: 0.5212, decode.loss_dice: 0.7783, decode.d0.loss_cls: 1.2675, decode.d0.loss_mask: 0.5494, decode.d0.loss_dice: 0.8494, decode.d1.loss_cls: 0.3602, decode.d1.loss_mask: 0.5380, decode.d1.loss_dice: 0.8176, decode.d2.loss_cls: 0.3031, decode.d2.loss_mask: 0.5325, decode.d2.loss_dice: 0.7998, decode.d3.loss_cls: 0.2951, decode.d3.loss_mask: 0.5223, decode.d3.loss_dice: 0.7850, decode.d4.loss_cls: 0.2817, decode.d4.loss_mask: 0.5260, decode.d4.loss_dice: 0.7843, decode.d5.loss_cls: 0.2816, decode.d5.loss_mask: 0.5212, decode.d5.loss_dice: 0.7856, decode.d6.loss_cls: 0.2779, decode.d6.loss_mask: 0.5223, decode.d6.loss_dice: 0.7793, decode.d7.loss_cls: 0.2750, decode.d7.loss_mask: 0.5183, decode.d7.loss_dice: 0.7800, decode.d8.loss_cls: 0.2781, decode.d8.loss_mask: 0.5217, decode.d8.loss_dice: 0.7821, loss: 17.1088, grad_norm: 48.7719 2023-11-12 07:34:13,575 - mmseg - INFO - Iter [62750/160000] lr: 6.078e-05, eta: 13:39:41, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2908, decode.loss_mask: 0.5205, decode.loss_dice: 0.7664, decode.d0.loss_cls: 1.2862, decode.d0.loss_mask: 0.5563, decode.d0.loss_dice: 0.8414, decode.d1.loss_cls: 0.3567, decode.d1.loss_mask: 0.5374, decode.d1.loss_dice: 0.8097, decode.d2.loss_cls: 0.3247, decode.d2.loss_mask: 0.5256, decode.d2.loss_dice: 0.7919, decode.d3.loss_cls: 0.3147, decode.d3.loss_mask: 0.5197, decode.d3.loss_dice: 0.7667, decode.d4.loss_cls: 0.3041, decode.d4.loss_mask: 0.5220, decode.d4.loss_dice: 0.7659, decode.d5.loss_cls: 0.3014, decode.d5.loss_mask: 0.5193, decode.d5.loss_dice: 0.7704, decode.d6.loss_cls: 0.2980, decode.d6.loss_mask: 0.5195, decode.d6.loss_dice: 0.7584, decode.d7.loss_cls: 0.2947, decode.d7.loss_mask: 0.5183, decode.d7.loss_dice: 0.7631, decode.d8.loss_cls: 0.2899, decode.d8.loss_mask: 0.5203, decode.d8.loss_dice: 0.7676, loss: 17.1214, grad_norm: 49.9513 2023-11-12 07:34:37,695 - mmseg - INFO - Iter [62800/160000] lr: 6.075e-05, eta: 13:39:14, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2910, decode.loss_mask: 0.4973, decode.loss_dice: 0.7527, decode.d0.loss_cls: 1.2927, decode.d0.loss_mask: 0.5374, decode.d0.loss_dice: 0.8282, decode.d1.loss_cls: 0.3806, decode.d1.loss_mask: 0.5115, decode.d1.loss_dice: 0.7978, decode.d2.loss_cls: 0.3334, decode.d2.loss_mask: 0.5023, decode.d2.loss_dice: 0.7679, decode.d3.loss_cls: 0.3117, decode.d3.loss_mask: 0.5007, decode.d3.loss_dice: 0.7592, decode.d4.loss_cls: 0.3044, decode.d4.loss_mask: 0.4999, decode.d4.loss_dice: 0.7570, decode.d5.loss_cls: 0.2991, decode.d5.loss_mask: 0.4986, decode.d5.loss_dice: 0.7571, decode.d6.loss_cls: 0.2924, decode.d6.loss_mask: 0.4984, decode.d6.loss_dice: 0.7538, decode.d7.loss_cls: 0.2947, decode.d7.loss_mask: 0.4988, decode.d7.loss_dice: 0.7537, decode.d8.loss_cls: 0.2887, decode.d8.loss_mask: 0.4996, decode.d8.loss_dice: 0.7575, loss: 16.8181, grad_norm: 47.8996 2023-11-12 07:35:01,588 - mmseg - INFO - Iter [62850/160000] lr: 6.072e-05, eta: 13:38:47, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2756, decode.loss_mask: 0.5192, decode.loss_dice: 0.7733, decode.d0.loss_cls: 1.2863, decode.d0.loss_mask: 0.5562, decode.d0.loss_dice: 0.8497, decode.d1.loss_cls: 0.3536, decode.d1.loss_mask: 0.5398, decode.d1.loss_dice: 0.8161, decode.d2.loss_cls: 0.3098, decode.d2.loss_mask: 0.5257, decode.d2.loss_dice: 0.8003, decode.d3.loss_cls: 0.2992, decode.d3.loss_mask: 0.5215, decode.d3.loss_dice: 0.7783, decode.d4.loss_cls: 0.2897, decode.d4.loss_mask: 0.5197, decode.d4.loss_dice: 0.7720, decode.d5.loss_cls: 0.2824, decode.d5.loss_mask: 0.5158, decode.d5.loss_dice: 0.7741, decode.d6.loss_cls: 0.2801, decode.d6.loss_mask: 0.5174, decode.d6.loss_dice: 0.7691, decode.d7.loss_cls: 0.2740, decode.d7.loss_mask: 0.5172, decode.d7.loss_dice: 0.7726, decode.d8.loss_cls: 0.2768, decode.d8.loss_mask: 0.5188, decode.d8.loss_dice: 0.7720, loss: 17.0565, grad_norm: 48.4388 2023-11-12 07:35:25,394 - mmseg - INFO - Iter [62900/160000] lr: 6.069e-05, eta: 13:38:19, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2843, decode.loss_mask: 0.5216, decode.loss_dice: 0.7838, decode.d0.loss_cls: 1.2855, decode.d0.loss_mask: 0.5535, decode.d0.loss_dice: 0.8596, decode.d1.loss_cls: 0.3761, decode.d1.loss_mask: 0.5398, decode.d1.loss_dice: 0.8272, decode.d2.loss_cls: 0.3213, decode.d2.loss_mask: 0.5326, decode.d2.loss_dice: 0.8046, decode.d3.loss_cls: 0.3080, decode.d3.loss_mask: 0.5273, decode.d3.loss_dice: 0.7902, decode.d4.loss_cls: 0.3017, decode.d4.loss_mask: 0.5238, decode.d4.loss_dice: 0.7922, decode.d5.loss_cls: 0.2951, decode.d5.loss_mask: 0.5228, decode.d5.loss_dice: 0.7821, decode.d6.loss_cls: 0.2914, decode.d6.loss_mask: 0.5210, decode.d6.loss_dice: 0.7824, decode.d7.loss_cls: 0.2822, decode.d7.loss_mask: 0.5217, decode.d7.loss_dice: 0.7822, decode.d8.loss_cls: 0.2868, decode.d8.loss_mask: 0.5214, decode.d8.loss_dice: 0.7808, loss: 17.3027, grad_norm: 49.0559 2023-11-12 07:35:49,379 - mmseg - INFO - Iter [62950/160000] lr: 6.066e-05, eta: 13:37:52, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2979, decode.loss_mask: 0.5258, decode.loss_dice: 0.7910, decode.d0.loss_cls: 1.2939, decode.d0.loss_mask: 0.5666, decode.d0.loss_dice: 0.8721, decode.d1.loss_cls: 0.3830, decode.d1.loss_mask: 0.5483, decode.d1.loss_dice: 0.8429, decode.d2.loss_cls: 0.3423, decode.d2.loss_mask: 0.5379, decode.d2.loss_dice: 0.8218, decode.d3.loss_cls: 0.3168, decode.d3.loss_mask: 0.5338, decode.d3.loss_dice: 0.8004, decode.d4.loss_cls: 0.3070, decode.d4.loss_mask: 0.5312, decode.d4.loss_dice: 0.7974, decode.d5.loss_cls: 0.3057, decode.d5.loss_mask: 0.5306, decode.d5.loss_dice: 0.7977, decode.d6.loss_cls: 0.3073, decode.d6.loss_mask: 0.5275, decode.d6.loss_dice: 0.7908, decode.d7.loss_cls: 0.3000, decode.d7.loss_mask: 0.5255, decode.d7.loss_dice: 0.7913, decode.d8.loss_cls: 0.3012, decode.d8.loss_mask: 0.5247, decode.d8.loss_dice: 0.7928, loss: 17.6055, grad_norm: 48.6678 2023-11-12 07:36:13,234 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 07:36:13,235 - mmseg - INFO - Iter [63000/160000] lr: 6.063e-05, eta: 13:37:25, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3025, decode.loss_mask: 0.5536, decode.loss_dice: 0.7785, decode.d0.loss_cls: 1.2948, decode.d0.loss_mask: 0.5901, decode.d0.loss_dice: 0.8546, decode.d1.loss_cls: 0.3696, decode.d1.loss_mask: 0.5733, decode.d1.loss_dice: 0.8264, decode.d2.loss_cls: 0.3356, decode.d2.loss_mask: 0.5628, decode.d2.loss_dice: 0.8054, decode.d3.loss_cls: 0.3275, decode.d3.loss_mask: 0.5536, decode.d3.loss_dice: 0.7883, decode.d4.loss_cls: 0.3191, decode.d4.loss_mask: 0.5526, decode.d4.loss_dice: 0.7889, decode.d5.loss_cls: 0.3150, decode.d5.loss_mask: 0.5534, decode.d5.loss_dice: 0.7849, decode.d6.loss_cls: 0.3119, decode.d6.loss_mask: 0.5520, decode.d6.loss_dice: 0.7811, decode.d7.loss_cls: 0.3103, decode.d7.loss_mask: 0.5520, decode.d7.loss_dice: 0.7765, decode.d8.loss_cls: 0.3100, decode.d8.loss_mask: 0.5517, decode.d8.loss_dice: 0.7800, loss: 17.7561, grad_norm: 48.4890 2023-11-12 07:36:37,127 - mmseg - INFO - Iter [63050/160000] lr: 6.059e-05, eta: 13:36:57, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2725, decode.loss_mask: 0.5350, decode.loss_dice: 0.7792, decode.d0.loss_cls: 1.2752, decode.d0.loss_mask: 0.5673, decode.d0.loss_dice: 0.8602, decode.d1.loss_cls: 0.3581, decode.d1.loss_mask: 0.5527, decode.d1.loss_dice: 0.8186, decode.d2.loss_cls: 0.3076, decode.d2.loss_mask: 0.5442, decode.d2.loss_dice: 0.8016, decode.d3.loss_cls: 0.2906, decode.d3.loss_mask: 0.5369, decode.d3.loss_dice: 0.7784, decode.d4.loss_cls: 0.2783, decode.d4.loss_mask: 0.5368, decode.d4.loss_dice: 0.7805, decode.d5.loss_cls: 0.2786, decode.d5.loss_mask: 0.5367, decode.d5.loss_dice: 0.7830, decode.d6.loss_cls: 0.2837, decode.d6.loss_mask: 0.5352, decode.d6.loss_dice: 0.7744, decode.d7.loss_cls: 0.2734, decode.d7.loss_mask: 0.5361, decode.d7.loss_dice: 0.7824, decode.d8.loss_cls: 0.2689, decode.d8.loss_mask: 0.5369, decode.d8.loss_dice: 0.7795, loss: 17.2425, grad_norm: 47.4250 2023-11-12 07:37:01,226 - mmseg - INFO - Iter [63100/160000] lr: 6.056e-05, eta: 13:36:30, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2862, decode.loss_mask: 0.5341, decode.loss_dice: 0.7628, decode.d0.loss_cls: 1.2847, decode.d0.loss_mask: 0.5743, decode.d0.loss_dice: 0.8472, decode.d1.loss_cls: 0.3624, decode.d1.loss_mask: 0.5561, decode.d1.loss_dice: 0.8128, decode.d2.loss_cls: 0.3233, decode.d2.loss_mask: 0.5450, decode.d2.loss_dice: 0.7879, decode.d3.loss_cls: 0.3047, decode.d3.loss_mask: 0.5400, decode.d3.loss_dice: 0.7620, decode.d4.loss_cls: 0.3005, decode.d4.loss_mask: 0.5379, decode.d4.loss_dice: 0.7643, decode.d5.loss_cls: 0.2945, decode.d5.loss_mask: 0.5378, decode.d5.loss_dice: 0.7683, decode.d6.loss_cls: 0.2916, decode.d6.loss_mask: 0.5342, decode.d6.loss_dice: 0.7632, decode.d7.loss_cls: 0.2924, decode.d7.loss_mask: 0.5367, decode.d7.loss_dice: 0.7684, decode.d8.loss_cls: 0.2905, decode.d8.loss_mask: 0.5325, decode.d8.loss_dice: 0.7657, loss: 17.2619, grad_norm: 53.7576 2023-11-12 07:37:25,347 - mmseg - INFO - Iter [63150/160000] lr: 6.053e-05, eta: 13:36:03, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2979, decode.loss_mask: 0.5142, decode.loss_dice: 0.7606, decode.d0.loss_cls: 1.2966, decode.d0.loss_mask: 0.5495, decode.d0.loss_dice: 0.8429, decode.d1.loss_cls: 0.3827, decode.d1.loss_mask: 0.5296, decode.d1.loss_dice: 0.8015, decode.d2.loss_cls: 0.3375, decode.d2.loss_mask: 0.5220, decode.d2.loss_dice: 0.7768, decode.d3.loss_cls: 0.3237, decode.d3.loss_mask: 0.5184, decode.d3.loss_dice: 0.7635, decode.d4.loss_cls: 0.3049, decode.d4.loss_mask: 0.5201, decode.d4.loss_dice: 0.7638, decode.d5.loss_cls: 0.3033, decode.d5.loss_mask: 0.5181, decode.d5.loss_dice: 0.7650, decode.d6.loss_cls: 0.3115, decode.d6.loss_mask: 0.5141, decode.d6.loss_dice: 0.7579, decode.d7.loss_cls: 0.3004, decode.d7.loss_mask: 0.5146, decode.d7.loss_dice: 0.7602, decode.d8.loss_cls: 0.2976, decode.d8.loss_mask: 0.5145, decode.d8.loss_dice: 0.7574, loss: 17.1209, grad_norm: 47.5366 2023-11-12 07:37:51,973 - mmseg - INFO - Iter [63200/160000] lr: 6.050e-05, eta: 13:35:40, time: 0.532, data_time: 0.058, memory: 41146, decode.loss_cls: 0.2953, decode.loss_mask: 0.5189, decode.loss_dice: 0.7773, decode.d0.loss_cls: 1.3173, decode.d0.loss_mask: 0.5470, decode.d0.loss_dice: 0.8405, decode.d1.loss_cls: 0.3736, decode.d1.loss_mask: 0.5346, decode.d1.loss_dice: 0.8178, decode.d2.loss_cls: 0.3246, decode.d2.loss_mask: 0.5256, decode.d2.loss_dice: 0.7996, decode.d3.loss_cls: 0.3107, decode.d3.loss_mask: 0.5222, decode.d3.loss_dice: 0.7795, decode.d4.loss_cls: 0.3048, decode.d4.loss_mask: 0.5179, decode.d4.loss_dice: 0.7803, decode.d5.loss_cls: 0.2984, decode.d5.loss_mask: 0.5185, decode.d5.loss_dice: 0.7779, decode.d6.loss_cls: 0.3017, decode.d6.loss_mask: 0.5173, decode.d6.loss_dice: 0.7766, decode.d7.loss_cls: 0.2993, decode.d7.loss_mask: 0.5175, decode.d7.loss_dice: 0.7731, decode.d8.loss_cls: 0.2970, decode.d8.loss_mask: 0.5191, decode.d8.loss_dice: 0.7792, loss: 17.2629, grad_norm: 46.8195 2023-11-12 07:38:16,067 - mmseg - INFO - Iter [63250/160000] lr: 6.047e-05, eta: 13:35:13, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2732, decode.loss_mask: 0.5139, decode.loss_dice: 0.7594, decode.d0.loss_cls: 1.2837, decode.d0.loss_mask: 0.5517, decode.d0.loss_dice: 0.8314, decode.d1.loss_cls: 0.3565, decode.d1.loss_mask: 0.5303, decode.d1.loss_dice: 0.8038, decode.d2.loss_cls: 0.3090, decode.d2.loss_mask: 0.5219, decode.d2.loss_dice: 0.7775, decode.d3.loss_cls: 0.2899, decode.d3.loss_mask: 0.5176, decode.d3.loss_dice: 0.7611, decode.d4.loss_cls: 0.2863, decode.d4.loss_mask: 0.5182, decode.d4.loss_dice: 0.7602, decode.d5.loss_cls: 0.2836, decode.d5.loss_mask: 0.5129, decode.d5.loss_dice: 0.7604, decode.d6.loss_cls: 0.2748, decode.d6.loss_mask: 0.5121, decode.d6.loss_dice: 0.7570, decode.d7.loss_cls: 0.2739, decode.d7.loss_mask: 0.5117, decode.d7.loss_dice: 0.7568, decode.d8.loss_cls: 0.2756, decode.d8.loss_mask: 0.5132, decode.d8.loss_dice: 0.7620, loss: 16.8397, grad_norm: 48.5862 2023-11-12 07:38:40,109 - mmseg - INFO - Iter [63300/160000] lr: 6.044e-05, eta: 13:34:46, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2941, decode.loss_mask: 0.5269, decode.loss_dice: 0.7873, decode.d0.loss_cls: 1.2941, decode.d0.loss_mask: 0.5598, decode.d0.loss_dice: 0.8568, decode.d1.loss_cls: 0.3769, decode.d1.loss_mask: 0.5418, decode.d1.loss_dice: 0.8258, decode.d2.loss_cls: 0.3314, decode.d2.loss_mask: 0.5339, decode.d2.loss_dice: 0.8019, decode.d3.loss_cls: 0.3174, decode.d3.loss_mask: 0.5311, decode.d3.loss_dice: 0.7912, decode.d4.loss_cls: 0.3086, decode.d4.loss_mask: 0.5299, decode.d4.loss_dice: 0.7879, decode.d5.loss_cls: 0.3034, decode.d5.loss_mask: 0.5287, decode.d5.loss_dice: 0.7900, decode.d6.loss_cls: 0.3050, decode.d6.loss_mask: 0.5266, decode.d6.loss_dice: 0.7831, decode.d7.loss_cls: 0.2985, decode.d7.loss_mask: 0.5256, decode.d7.loss_dice: 0.7810, decode.d8.loss_cls: 0.2996, decode.d8.loss_mask: 0.5266, decode.d8.loss_dice: 0.7858, loss: 17.4505, grad_norm: 48.1209 2023-11-12 07:39:04,068 - mmseg - INFO - Iter [63350/160000] lr: 6.041e-05, eta: 13:34:18, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3206, decode.loss_mask: 0.5055, decode.loss_dice: 0.7722, decode.d0.loss_cls: 1.3361, decode.d0.loss_mask: 0.5370, decode.d0.loss_dice: 0.8555, decode.d1.loss_cls: 0.3897, decode.d1.loss_mask: 0.5243, decode.d1.loss_dice: 0.8214, decode.d2.loss_cls: 0.3547, decode.d2.loss_mask: 0.5114, decode.d2.loss_dice: 0.8002, decode.d3.loss_cls: 0.3357, decode.d3.loss_mask: 0.5074, decode.d3.loss_dice: 0.7814, decode.d4.loss_cls: 0.3289, decode.d4.loss_mask: 0.5056, decode.d4.loss_dice: 0.7811, decode.d5.loss_cls: 0.3179, decode.d5.loss_mask: 0.5070, decode.d5.loss_dice: 0.7819, decode.d6.loss_cls: 0.3222, decode.d6.loss_mask: 0.5068, decode.d6.loss_dice: 0.7760, decode.d7.loss_cls: 0.3136, decode.d7.loss_mask: 0.5061, decode.d7.loss_dice: 0.7784, decode.d8.loss_cls: 0.3194, decode.d8.loss_mask: 0.5051, decode.d8.loss_dice: 0.7776, loss: 17.3807, grad_norm: 46.0733 2023-11-12 07:39:28,073 - mmseg - INFO - Iter [63400/160000] lr: 6.038e-05, eta: 13:33:51, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2690, decode.loss_mask: 0.5057, decode.loss_dice: 0.7604, decode.d0.loss_cls: 1.2925, decode.d0.loss_mask: 0.5378, decode.d0.loss_dice: 0.8381, decode.d1.loss_cls: 0.3581, decode.d1.loss_mask: 0.5231, decode.d1.loss_dice: 0.8070, decode.d2.loss_cls: 0.3115, decode.d2.loss_mask: 0.5097, decode.d2.loss_dice: 0.7833, decode.d3.loss_cls: 0.2890, decode.d3.loss_mask: 0.5072, decode.d3.loss_dice: 0.7671, decode.d4.loss_cls: 0.2820, decode.d4.loss_mask: 0.5072, decode.d4.loss_dice: 0.7682, decode.d5.loss_cls: 0.2818, decode.d5.loss_mask: 0.5064, decode.d5.loss_dice: 0.7686, decode.d6.loss_cls: 0.2735, decode.d6.loss_mask: 0.5054, decode.d6.loss_dice: 0.7651, decode.d7.loss_cls: 0.2685, decode.d7.loss_mask: 0.5063, decode.d7.loss_dice: 0.7702, decode.d8.loss_cls: 0.2705, decode.d8.loss_mask: 0.5057, decode.d8.loss_dice: 0.7625, loss: 16.8015, grad_norm: 49.5605 2023-11-12 07:39:51,847 - mmseg - INFO - Iter [63450/160000] lr: 6.034e-05, eta: 13:33:24, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2546, decode.loss_mask: 0.5270, decode.loss_dice: 0.7433, decode.d0.loss_cls: 1.2335, decode.d0.loss_mask: 0.5587, decode.d0.loss_dice: 0.8054, decode.d1.loss_cls: 0.3366, decode.d1.loss_mask: 0.5412, decode.d1.loss_dice: 0.7848, decode.d2.loss_cls: 0.2977, decode.d2.loss_mask: 0.5306, decode.d2.loss_dice: 0.7639, decode.d3.loss_cls: 0.2785, decode.d3.loss_mask: 0.5315, decode.d3.loss_dice: 0.7525, decode.d4.loss_cls: 0.2699, decode.d4.loss_mask: 0.5272, decode.d4.loss_dice: 0.7513, decode.d5.loss_cls: 0.2598, decode.d5.loss_mask: 0.5298, decode.d5.loss_dice: 0.7534, decode.d6.loss_cls: 0.2581, decode.d6.loss_mask: 0.5263, decode.d6.loss_dice: 0.7456, decode.d7.loss_cls: 0.2592, decode.d7.loss_mask: 0.5273, decode.d7.loss_dice: 0.7439, decode.d8.loss_cls: 0.2563, decode.d8.loss_mask: 0.5264, decode.d8.loss_dice: 0.7470, loss: 16.6212, grad_norm: 46.4513 2023-11-12 07:40:15,593 - mmseg - INFO - Iter [63500/160000] lr: 6.031e-05, eta: 13:32:56, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2633, decode.loss_mask: 0.5186, decode.loss_dice: 0.7547, decode.d0.loss_cls: 1.2515, decode.d0.loss_mask: 0.5481, decode.d0.loss_dice: 0.8269, decode.d1.loss_cls: 0.3442, decode.d1.loss_mask: 0.5397, decode.d1.loss_dice: 0.8022, decode.d2.loss_cls: 0.3020, decode.d2.loss_mask: 0.5284, decode.d2.loss_dice: 0.7703, decode.d3.loss_cls: 0.2854, decode.d3.loss_mask: 0.5238, decode.d3.loss_dice: 0.7595, decode.d4.loss_cls: 0.2773, decode.d4.loss_mask: 0.5215, decode.d4.loss_dice: 0.7647, decode.d5.loss_cls: 0.2720, decode.d5.loss_mask: 0.5232, decode.d5.loss_dice: 0.7592, decode.d6.loss_cls: 0.2714, decode.d6.loss_mask: 0.5193, decode.d6.loss_dice: 0.7569, decode.d7.loss_cls: 0.2657, decode.d7.loss_mask: 0.5187, decode.d7.loss_dice: 0.7586, decode.d8.loss_cls: 0.2649, decode.d8.loss_mask: 0.5207, decode.d8.loss_dice: 0.7560, loss: 16.7684, grad_norm: 47.8297 2023-11-12 07:40:39,695 - mmseg - INFO - Iter [63550/160000] lr: 6.028e-05, eta: 13:32:29, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3092, decode.loss_mask: 0.5388, decode.loss_dice: 0.7902, decode.d0.loss_cls: 1.3279, decode.d0.loss_mask: 0.5738, decode.d0.loss_dice: 0.8607, decode.d1.loss_cls: 0.3850, decode.d1.loss_mask: 0.5574, decode.d1.loss_dice: 0.8362, decode.d2.loss_cls: 0.3455, decode.d2.loss_mask: 0.5496, decode.d2.loss_dice: 0.8192, decode.d3.loss_cls: 0.3307, decode.d3.loss_mask: 0.5405, decode.d3.loss_dice: 0.7917, decode.d4.loss_cls: 0.3213, decode.d4.loss_mask: 0.5400, decode.d4.loss_dice: 0.7942, decode.d5.loss_cls: 0.3135, decode.d5.loss_mask: 0.5408, decode.d5.loss_dice: 0.8007, decode.d6.loss_cls: 0.3140, decode.d6.loss_mask: 0.5375, decode.d6.loss_dice: 0.7904, decode.d7.loss_cls: 0.3057, decode.d7.loss_mask: 0.5380, decode.d7.loss_dice: 0.7931, decode.d8.loss_cls: 0.3103, decode.d8.loss_mask: 0.5419, decode.d8.loss_dice: 0.7913, loss: 17.7891, grad_norm: 46.0166 2023-11-12 07:41:03,850 - mmseg - INFO - Iter [63600/160000] lr: 6.025e-05, eta: 13:32:02, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2841, decode.loss_mask: 0.5141, decode.loss_dice: 0.7742, decode.d0.loss_cls: 1.2645, decode.d0.loss_mask: 0.5504, decode.d0.loss_dice: 0.8401, decode.d1.loss_cls: 0.3583, decode.d1.loss_mask: 0.5301, decode.d1.loss_dice: 0.8211, decode.d2.loss_cls: 0.3170, decode.d2.loss_mask: 0.5213, decode.d2.loss_dice: 0.7983, decode.d3.loss_cls: 0.3025, decode.d3.loss_mask: 0.5189, decode.d3.loss_dice: 0.7797, decode.d4.loss_cls: 0.2938, decode.d4.loss_mask: 0.5163, decode.d4.loss_dice: 0.7861, decode.d5.loss_cls: 0.2883, decode.d5.loss_mask: 0.5163, decode.d5.loss_dice: 0.7868, decode.d6.loss_cls: 0.2883, decode.d6.loss_mask: 0.5132, decode.d6.loss_dice: 0.7757, decode.d7.loss_cls: 0.2837, decode.d7.loss_mask: 0.5144, decode.d7.loss_dice: 0.7771, decode.d8.loss_cls: 0.2867, decode.d8.loss_mask: 0.5142, decode.d8.loss_dice: 0.7825, loss: 17.0979, grad_norm: 49.7721 2023-11-12 07:41:27,822 - mmseg - INFO - Iter [63650/160000] lr: 6.022e-05, eta: 13:31:35, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2984, decode.loss_mask: 0.5142, decode.loss_dice: 0.7878, decode.d0.loss_cls: 1.2794, decode.d0.loss_mask: 0.5528, decode.d0.loss_dice: 0.8580, decode.d1.loss_cls: 0.3760, decode.d1.loss_mask: 0.5353, decode.d1.loss_dice: 0.8292, decode.d2.loss_cls: 0.3280, decode.d2.loss_mask: 0.5227, decode.d2.loss_dice: 0.8061, decode.d3.loss_cls: 0.3194, decode.d3.loss_mask: 0.5184, decode.d3.loss_dice: 0.7909, decode.d4.loss_cls: 0.3116, decode.d4.loss_mask: 0.5130, decode.d4.loss_dice: 0.7929, decode.d5.loss_cls: 0.3031, decode.d5.loss_mask: 0.5147, decode.d5.loss_dice: 0.7896, decode.d6.loss_cls: 0.3048, decode.d6.loss_mask: 0.5131, decode.d6.loss_dice: 0.7816, decode.d7.loss_cls: 0.3005, decode.d7.loss_mask: 0.5127, decode.d7.loss_dice: 0.7863, decode.d8.loss_cls: 0.2974, decode.d8.loss_mask: 0.5142, decode.d8.loss_dice: 0.7931, loss: 17.3452, grad_norm: 46.0001 2023-11-12 07:41:56,535 - mmseg - INFO - Iter [63700/160000] lr: 6.019e-05, eta: 13:31:15, time: 0.574, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2767, decode.loss_mask: 0.5280, decode.loss_dice: 0.7743, decode.d0.loss_cls: 1.2800, decode.d0.loss_mask: 0.5654, decode.d0.loss_dice: 0.8401, decode.d1.loss_cls: 0.3562, decode.d1.loss_mask: 0.5428, decode.d1.loss_dice: 0.8215, decode.d2.loss_cls: 0.3209, decode.d2.loss_mask: 0.5343, decode.d2.loss_dice: 0.7944, decode.d3.loss_cls: 0.3007, decode.d3.loss_mask: 0.5284, decode.d3.loss_dice: 0.7792, decode.d4.loss_cls: 0.2939, decode.d4.loss_mask: 0.5272, decode.d4.loss_dice: 0.7823, decode.d5.loss_cls: 0.2831, decode.d5.loss_mask: 0.5253, decode.d5.loss_dice: 0.7815, decode.d6.loss_cls: 0.2866, decode.d6.loss_mask: 0.5268, decode.d6.loss_dice: 0.7750, decode.d7.loss_cls: 0.2801, decode.d7.loss_mask: 0.5271, decode.d7.loss_dice: 0.7781, decode.d8.loss_cls: 0.2805, decode.d8.loss_mask: 0.5265, decode.d8.loss_dice: 0.7777, loss: 17.1949, grad_norm: 49.5893 2023-11-12 07:42:24,483 - mmseg - INFO - Iter [63750/160000] lr: 6.016e-05, eta: 13:30:53, time: 0.559, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2946, decode.loss_mask: 0.5118, decode.loss_dice: 0.7671, decode.d0.loss_cls: 1.2865, decode.d0.loss_mask: 0.5465, decode.d0.loss_dice: 0.8509, decode.d1.loss_cls: 0.3845, decode.d1.loss_mask: 0.5313, decode.d1.loss_dice: 0.8153, decode.d2.loss_cls: 0.3361, decode.d2.loss_mask: 0.5170, decode.d2.loss_dice: 0.7866, decode.d3.loss_cls: 0.3124, decode.d3.loss_mask: 0.5157, decode.d3.loss_dice: 0.7771, decode.d4.loss_cls: 0.3091, decode.d4.loss_mask: 0.5137, decode.d4.loss_dice: 0.7770, decode.d5.loss_cls: 0.3051, decode.d5.loss_mask: 0.5137, decode.d5.loss_dice: 0.7773, decode.d6.loss_cls: 0.3057, decode.d6.loss_mask: 0.5094, decode.d6.loss_dice: 0.7672, decode.d7.loss_cls: 0.2970, decode.d7.loss_mask: 0.5091, decode.d7.loss_dice: 0.7732, decode.d8.loss_cls: 0.2982, decode.d8.loss_mask: 0.5115, decode.d8.loss_dice: 0.7692, loss: 17.1696, grad_norm: 46.8960 2023-11-12 07:42:48,991 - mmseg - INFO - Iter [63800/160000] lr: 6.013e-05, eta: 13:30:27, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2920, decode.loss_mask: 0.5051, decode.loss_dice: 0.7870, decode.d0.loss_cls: 1.3259, decode.d0.loss_mask: 0.5379, decode.d0.loss_dice: 0.8682, decode.d1.loss_cls: 0.3690, decode.d1.loss_mask: 0.5226, decode.d1.loss_dice: 0.8309, decode.d2.loss_cls: 0.3290, decode.d2.loss_mask: 0.5108, decode.d2.loss_dice: 0.8083, decode.d3.loss_cls: 0.3183, decode.d3.loss_mask: 0.5064, decode.d3.loss_dice: 0.7915, decode.d4.loss_cls: 0.3086, decode.d4.loss_mask: 0.5052, decode.d4.loss_dice: 0.7877, decode.d5.loss_cls: 0.3042, decode.d5.loss_mask: 0.5063, decode.d5.loss_dice: 0.7895, decode.d6.loss_cls: 0.3013, decode.d6.loss_mask: 0.5064, decode.d6.loss_dice: 0.7859, decode.d7.loss_cls: 0.2930, decode.d7.loss_mask: 0.5049, decode.d7.loss_dice: 0.7876, decode.d8.loss_cls: 0.2965, decode.d8.loss_mask: 0.5061, decode.d8.loss_dice: 0.7873, loss: 17.2734, grad_norm: 47.8398 2023-11-12 07:43:13,529 - mmseg - INFO - Iter [63850/160000] lr: 6.009e-05, eta: 13:30:01, time: 0.491, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2825, decode.loss_mask: 0.5234, decode.loss_dice: 0.7857, decode.d0.loss_cls: 1.2732, decode.d0.loss_mask: 0.5577, decode.d0.loss_dice: 0.8682, decode.d1.loss_cls: 0.3517, decode.d1.loss_mask: 0.5449, decode.d1.loss_dice: 0.8351, decode.d2.loss_cls: 0.3111, decode.d2.loss_mask: 0.5321, decode.d2.loss_dice: 0.8040, decode.d3.loss_cls: 0.2983, decode.d3.loss_mask: 0.5256, decode.d3.loss_dice: 0.7901, decode.d4.loss_cls: 0.2902, decode.d4.loss_mask: 0.5249, decode.d4.loss_dice: 0.7891, decode.d5.loss_cls: 0.2865, decode.d5.loss_mask: 0.5234, decode.d5.loss_dice: 0.7883, decode.d6.loss_cls: 0.2922, decode.d6.loss_mask: 0.5219, decode.d6.loss_dice: 0.7817, decode.d7.loss_cls: 0.2885, decode.d7.loss_mask: 0.5223, decode.d7.loss_dice: 0.7868, decode.d8.loss_cls: 0.2845, decode.d8.loss_mask: 0.5211, decode.d8.loss_dice: 0.7869, loss: 17.2720, grad_norm: 49.7464 2023-11-12 07:43:38,667 - mmseg - INFO - Iter [63900/160000] lr: 6.006e-05, eta: 13:29:35, time: 0.503, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2843, decode.loss_mask: 0.5209, decode.loss_dice: 0.7791, decode.d0.loss_cls: 1.2929, decode.d0.loss_mask: 0.5573, decode.d0.loss_dice: 0.8568, decode.d1.loss_cls: 0.3748, decode.d1.loss_mask: 0.5399, decode.d1.loss_dice: 0.8226, decode.d2.loss_cls: 0.3225, decode.d2.loss_mask: 0.5281, decode.d2.loss_dice: 0.7993, decode.d3.loss_cls: 0.3069, decode.d3.loss_mask: 0.5220, decode.d3.loss_dice: 0.7858, decode.d4.loss_cls: 0.2937, decode.d4.loss_mask: 0.5237, decode.d4.loss_dice: 0.7860, decode.d5.loss_cls: 0.2991, decode.d5.loss_mask: 0.5209, decode.d5.loss_dice: 0.7837, decode.d6.loss_cls: 0.2954, decode.d6.loss_mask: 0.5188, decode.d6.loss_dice: 0.7750, decode.d7.loss_cls: 0.2915, decode.d7.loss_mask: 0.5206, decode.d7.loss_dice: 0.7745, decode.d8.loss_cls: 0.2856, decode.d8.loss_mask: 0.5212, decode.d8.loss_dice: 0.7842, loss: 17.2670, grad_norm: 47.0770 2023-11-12 07:44:03,413 - mmseg - INFO - Iter [63950/160000] lr: 6.003e-05, eta: 13:29:09, time: 0.495, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2811, decode.loss_mask: 0.5120, decode.loss_dice: 0.7491, decode.d0.loss_cls: 1.2785, decode.d0.loss_mask: 0.5434, decode.d0.loss_dice: 0.8191, decode.d1.loss_cls: 0.3512, decode.d1.loss_mask: 0.5267, decode.d1.loss_dice: 0.7854, decode.d2.loss_cls: 0.3091, decode.d2.loss_mask: 0.5201, decode.d2.loss_dice: 0.7670, decode.d3.loss_cls: 0.2940, decode.d3.loss_mask: 0.5155, decode.d3.loss_dice: 0.7511, decode.d4.loss_cls: 0.2857, decode.d4.loss_mask: 0.5171, decode.d4.loss_dice: 0.7513, decode.d5.loss_cls: 0.2801, decode.d5.loss_mask: 0.5156, decode.d5.loss_dice: 0.7531, decode.d6.loss_cls: 0.2779, decode.d6.loss_mask: 0.5132, decode.d6.loss_dice: 0.7454, decode.d7.loss_cls: 0.2740, decode.d7.loss_mask: 0.5125, decode.d7.loss_dice: 0.7484, decode.d8.loss_cls: 0.2766, decode.d8.loss_mask: 0.5148, decode.d8.loss_dice: 0.7509, loss: 16.7202, grad_norm: 49.3668 2023-11-12 07:44:27,426 - mmseg - INFO - Saving checkpoint at 64000 iterations 2023-11-12 07:44:31,207 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 07:44:31,207 - mmseg - INFO - Iter [64000/160000] lr: 6.000e-05, eta: 13:28:48, time: 0.556, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2767, decode.loss_mask: 0.5038, decode.loss_dice: 0.7396, decode.d0.loss_cls: 1.2515, decode.d0.loss_mask: 0.5376, decode.d0.loss_dice: 0.8170, decode.d1.loss_cls: 0.3510, decode.d1.loss_mask: 0.5223, decode.d1.loss_dice: 0.7882, decode.d2.loss_cls: 0.3094, decode.d2.loss_mask: 0.5120, decode.d2.loss_dice: 0.7669, decode.d3.loss_cls: 0.2991, decode.d3.loss_mask: 0.5067, decode.d3.loss_dice: 0.7490, decode.d4.loss_cls: 0.2861, decode.d4.loss_mask: 0.5055, decode.d4.loss_dice: 0.7506, decode.d5.loss_cls: 0.2829, decode.d5.loss_mask: 0.5055, decode.d5.loss_dice: 0.7489, decode.d6.loss_cls: 0.2803, decode.d6.loss_mask: 0.5043, decode.d6.loss_dice: 0.7442, decode.d7.loss_cls: 0.2800, decode.d7.loss_mask: 0.5061, decode.d7.loss_dice: 0.7455, decode.d8.loss_cls: 0.2719, decode.d8.loss_mask: 0.5061, decode.d8.loss_dice: 0.7456, loss: 16.5945, grad_norm: 49.0314 2023-11-12 07:44:50,402 - mmseg - INFO - per class results: 2023-11-12 07:44:50,407 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.6 | 87.25 | | building | 83.19 | 91.29 | | sky | 94.36 | 96.94 | | floor | 83.02 | 89.21 | | tree | 75.84 | 88.0 | | ceiling | 85.1 | 91.91 | | road | 85.81 | 91.54 | | bed | 90.7 | 95.74 | | windowpane | 61.69 | 77.09 | | grass | 69.78 | 82.16 | | cabinet | 63.07 | 79.9 | | sidewalk | 68.28 | 80.28 | | person | 84.86 | 91.6 | | earth | 39.48 | 58.89 | | door | 49.87 | 65.44 | | table | 64.05 | 78.89 | | mountain | 65.04 | 78.4 | | plant | 54.67 | 69.62 | | curtain | 73.23 | 90.36 | | chair | 61.06 | 73.57 | | car | 87.28 | 93.25 | | water | 52.75 | 67.7 | | painting | 71.02 | 91.03 | | sofa | 69.19 | 83.17 | | shelf | 46.41 | 66.5 | | house | 42.0 | 74.41 | | sea | 69.76 | 89.55 | | mirror | 68.62 | 84.86 | | rug | 66.25 | 82.11 | | field | 30.96 | 48.15 | | armchair | 45.28 | 69.0 | | seat | 59.34 | 76.8 | | fence | 44.68 | 64.5 | | desk | 49.34 | 67.73 | | rock | 50.69 | 77.46 | | wardrobe | 47.08 | 68.42 | | lamp | 72.28 | 84.61 | | bathtub | 87.11 | 92.06 | | railing | 33.85 | 53.39 | | cushion | 63.13 | 79.43 | | base | 39.17 | 57.16 | | box | 29.64 | 39.85 | | column | 39.08 | 51.19 | | signboard | 39.36 | 54.16 | | chest of drawers | 47.49 | 59.06 | | counter | 31.57 | 36.14 | | sand | 41.71 | 56.62 | | sink | 77.54 | 81.18 | | skyscraper | 36.12 | 41.69 | | fireplace | 76.09 | 92.62 | | refrigerator | 82.48 | 90.08 | | grandstand | 42.89 | 68.37 | | path | 27.24 | 40.31 | | stairs | 32.6 | 39.66 | | runway | 74.67 | 83.95 | | case | 60.94 | 79.81 | | pool table | 95.15 | 97.56 | | pillow | 62.96 | 76.28 | | screen door | 65.48 | 82.53 | | stairway | 35.86 | 45.53 | | river | 22.5 | 34.14 | | bridge | 78.96 | 89.14 | | bookcase | 44.61 | 61.95 | | blind | 29.74 | 37.06 | | coffee table | 62.46 | 87.09 | | toilet | 82.49 | 91.49 | | flower | 38.21 | 55.42 | | book | 50.19 | 75.11 | | hill | 6.65 | 12.98 | | bench | 48.91 | 56.96 | | countertop | 55.75 | 64.82 | | stove | 85.62 | 90.05 | | palm | 53.41 | 71.78 | | kitchen island | 53.53 | 74.16 | | computer | 71.84 | 77.8 | | swivel chair | 42.07 | 54.29 | | boat | 65.92 | 87.6 | | bar | 23.23 | 27.63 | | arcade machine | 44.46 | 46.59 | | hovel | 24.37 | 40.39 | | bus | 93.51 | 96.35 | | towel | 69.95 | 82.16 | | light | 64.14 | 78.92 | | truck | 38.14 | 54.2 | | tower | 32.25 | 45.89 | | chandelier | 72.91 | 89.64 | | awning | 40.01 | 46.09 | | streetlight | 42.67 | 64.69 | | booth | 34.47 | 38.36 | | television receiver | 75.35 | 79.55 | | airplane | 66.35 | 73.71 | | dirt track | 7.26 | 33.84 | | apparel | 25.23 | 47.24 | | pole | 35.28 | 55.37 | | land | 1.4 | 2.8 | | bannister | 18.81 | 23.82 | | escalator | 21.94 | 23.25 | | ottoman | 58.08 | 75.72 | | bottle | 36.58 | 47.88 | | buffet | 38.88 | 45.02 | | poster | 10.44 | 16.1 | | stage | 7.64 | 34.8 | | van | 49.46 | 76.1 | | ship | 9.73 | 10.59 | | fountain | 20.41 | 21.73 | | conveyer belt | 42.54 | 66.18 | | canopy | 21.96 | 39.96 | | washer | 71.27 | 73.35 | | plaything | 46.97 | 65.72 | | swimming pool | 59.21 | 59.48 | | stool | 44.26 | 74.6 | | barrel | 90.45 | 98.29 | | basket | 38.63 | 47.68 | | waterfall | 62.54 | 91.45 | | tent | 95.96 | 98.52 | | bag | 17.11 | 25.78 | | minibike | 76.56 | 89.9 | | cradle | 85.97 | 97.52 | | oven | 24.6 | 66.69 | | ball | 52.04 | 65.22 | | food | 62.38 | 77.62 | | step | 15.62 | 27.48 | | tank | 52.89 | 54.99 | | trade name | 30.18 | 37.44 | | microwave | 40.43 | 45.15 | | pot | 46.98 | 58.16 | | animal | 61.43 | 63.0 | | bicycle | 64.08 | 81.94 | | lake | 0.0 | 0.0 | | dishwasher | 77.14 | 86.08 | | screen | 57.73 | 91.61 | | blanket | 32.3 | 41.86 | | sculpture | 63.5 | 88.26 | | hood | 63.37 | 74.61 | | sconce | 57.24 | 69.2 | | vase | 50.09 | 70.22 | | traffic light | 44.04 | 66.34 | | tray | 15.05 | 29.35 | | ashcan | 48.66 | 68.4 | | fan | 69.1 | 85.7 | | pier | 36.48 | 44.38 | | crt screen | 4.85 | 14.67 | | plate | 61.36 | 78.0 | | monitor | 0.34 | 0.45 | | bulletin board | 54.51 | 74.98 | | shower | 8.89 | 20.88 | | radiator | 72.38 | 80.23 | | glass | 21.81 | 24.41 | | clock | 53.0 | 65.27 | | flag | 43.36 | 52.28 | +---------------------+-------+-------+ 2023-11-12 07:44:50,407 - mmseg - INFO - Summary: 2023-11-12 07:44:50,407 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.79 | 51.48 | 64.53 | +-------+-------+-------+ 2023-11-12 07:44:50,408 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 07:44:50,408 - mmseg - INFO - Iter(val) [250] aAcc: 0.8379, mIoU: 0.5148, mAcc: 0.6453, IoU.wall: 0.7860, IoU.building: 0.8319, IoU.sky: 0.9436, IoU.floor: 0.8302, IoU.tree: 0.7584, IoU.ceiling: 0.8510, IoU.road: 0.8581, IoU.bed : 0.9070, IoU.windowpane: 0.6169, IoU.grass: 0.6978, IoU.cabinet: 0.6307, IoU.sidewalk: 0.6828, IoU.person: 0.8486, IoU.earth: 0.3948, IoU.door: 0.4987, IoU.table: 0.6405, IoU.mountain: 0.6504, IoU.plant: 0.5467, IoU.curtain: 0.7323, IoU.chair: 0.6106, IoU.car: 0.8728, IoU.water: 0.5275, IoU.painting: 0.7102, IoU.sofa: 0.6919, IoU.shelf: 0.4641, IoU.house: 0.4200, IoU.sea: 0.6976, IoU.mirror: 0.6862, IoU.rug: 0.6625, IoU.field: 0.3096, IoU.armchair: 0.4528, IoU.seat: 0.5934, IoU.fence: 0.4468, IoU.desk: 0.4934, IoU.rock: 0.5069, IoU.wardrobe: 0.4708, IoU.lamp: 0.7228, IoU.bathtub: 0.8711, IoU.railing: 0.3385, IoU.cushion: 0.6313, IoU.base: 0.3917, IoU.box: 0.2964, IoU.column: 0.3908, IoU.signboard: 0.3936, IoU.chest of drawers: 0.4749, IoU.counter: 0.3157, IoU.sand: 0.4171, IoU.sink: 0.7754, IoU.skyscraper: 0.3612, IoU.fireplace: 0.7609, IoU.refrigerator: 0.8248, IoU.grandstand: 0.4289, IoU.path: 0.2724, IoU.stairs: 0.3260, IoU.runway: 0.7467, IoU.case: 0.6094, IoU.pool table: 0.9515, IoU.pillow: 0.6296, IoU.screen door: 0.6548, IoU.stairway: 0.3586, IoU.river: 0.2250, IoU.bridge: 0.7896, IoU.bookcase: 0.4461, IoU.blind: 0.2974, IoU.coffee table: 0.6246, IoU.toilet: 0.8249, IoU.flower: 0.3821, IoU.book: 0.5019, IoU.hill: 0.0665, IoU.bench: 0.4891, IoU.countertop: 0.5575, IoU.stove: 0.8562, IoU.palm: 0.5341, IoU.kitchen island: 0.5353, IoU.computer: 0.7184, IoU.swivel chair: 0.4207, IoU.boat: 0.6592, IoU.bar: 0.2323, IoU.arcade machine: 0.4446, IoU.hovel: 0.2437, IoU.bus: 0.9351, IoU.towel: 0.6995, IoU.light: 0.6414, IoU.truck: 0.3814, IoU.tower: 0.3225, IoU.chandelier: 0.7291, IoU.awning: 0.4001, IoU.streetlight: 0.4267, IoU.booth: 0.3447, IoU.television receiver: 0.7535, IoU.airplane: 0.6635, IoU.dirt track: 0.0726, IoU.apparel: 0.2523, IoU.pole: 0.3528, IoU.land: 0.0140, IoU.bannister: 0.1881, IoU.escalator: 0.2194, IoU.ottoman: 0.5808, IoU.bottle: 0.3658, IoU.buffet: 0.3888, IoU.poster: 0.1044, IoU.stage: 0.0764, IoU.van: 0.4946, IoU.ship: 0.0973, IoU.fountain: 0.2041, IoU.conveyer belt: 0.4254, IoU.canopy: 0.2196, IoU.washer: 0.7127, IoU.plaything: 0.4697, IoU.swimming pool: 0.5921, IoU.stool: 0.4426, IoU.barrel: 0.9045, IoU.basket: 0.3863, IoU.waterfall: 0.6254, IoU.tent: 0.9596, IoU.bag: 0.1711, IoU.minibike: 0.7656, IoU.cradle: 0.8597, IoU.oven: 0.2460, IoU.ball: 0.5204, IoU.food: 0.6238, IoU.step: 0.1562, IoU.tank: 0.5289, IoU.trade name: 0.3018, IoU.microwave: 0.4043, IoU.pot: 0.4698, IoU.animal: 0.6143, IoU.bicycle: 0.6408, IoU.lake: 0.0000, IoU.dishwasher: 0.7714, IoU.screen: 0.5773, IoU.blanket: 0.3230, IoU.sculpture: 0.6350, IoU.hood: 0.6337, IoU.sconce: 0.5724, IoU.vase: 0.5009, IoU.traffic light: 0.4404, IoU.tray: 0.1505, IoU.ashcan: 0.4866, IoU.fan: 0.6910, IoU.pier: 0.3648, IoU.crt screen: 0.0485, IoU.plate: 0.6136, IoU.monitor: 0.0034, IoU.bulletin board: 0.5451, IoU.shower: 0.0889, IoU.radiator: 0.7238, IoU.glass: 0.2181, IoU.clock: 0.5300, IoU.flag: 0.4336, Acc.wall: 0.8725, Acc.building: 0.9129, Acc.sky: 0.9694, Acc.floor: 0.8921, Acc.tree: 0.8800, Acc.ceiling: 0.9191, Acc.road: 0.9154, Acc.bed : 0.9574, Acc.windowpane: 0.7709, Acc.grass: 0.8216, Acc.cabinet: 0.7990, Acc.sidewalk: 0.8028, Acc.person: 0.9160, Acc.earth: 0.5889, Acc.door: 0.6544, Acc.table: 0.7889, Acc.mountain: 0.7840, Acc.plant: 0.6962, Acc.curtain: 0.9036, Acc.chair: 0.7357, Acc.car: 0.9325, Acc.water: 0.6770, Acc.painting: 0.9103, Acc.sofa: 0.8317, Acc.shelf: 0.6650, Acc.house: 0.7441, Acc.sea: 0.8955, Acc.mirror: 0.8486, Acc.rug: 0.8211, Acc.field: 0.4815, Acc.armchair: 0.6900, Acc.seat: 0.7680, Acc.fence: 0.6450, Acc.desk: 0.6773, Acc.rock: 0.7746, Acc.wardrobe: 0.6842, Acc.lamp: 0.8461, Acc.bathtub: 0.9206, Acc.railing: 0.5339, Acc.cushion: 0.7943, Acc.base: 0.5716, Acc.box: 0.3985, Acc.column: 0.5119, Acc.signboard: 0.5416, Acc.chest of drawers: 0.5906, Acc.counter: 0.3614, Acc.sand: 0.5662, Acc.sink: 0.8118, Acc.skyscraper: 0.4169, Acc.fireplace: 0.9262, Acc.refrigerator: 0.9008, Acc.grandstand: 0.6837, Acc.path: 0.4031, Acc.stairs: 0.3966, Acc.runway: 0.8395, Acc.case: 0.7981, Acc.pool table: 0.9756, Acc.pillow: 0.7628, Acc.screen door: 0.8253, Acc.stairway: 0.4553, Acc.river: 0.3414, Acc.bridge: 0.8914, Acc.bookcase: 0.6195, Acc.blind: 0.3706, Acc.coffee table: 0.8709, Acc.toilet: 0.9149, Acc.flower: 0.5542, Acc.book: 0.7511, Acc.hill: 0.1298, Acc.bench: 0.5696, Acc.countertop: 0.6482, Acc.stove: 0.9005, Acc.palm: 0.7178, Acc.kitchen island: 0.7416, Acc.computer: 0.7780, Acc.swivel chair: 0.5429, Acc.boat: 0.8760, Acc.bar: 0.2763, Acc.arcade machine: 0.4659, Acc.hovel: 0.4039, Acc.bus: 0.9635, Acc.towel: 0.8216, Acc.light: 0.7892, Acc.truck: 0.5420, Acc.tower: 0.4589, Acc.chandelier: 0.8964, Acc.awning: 0.4609, Acc.streetlight: 0.6469, Acc.booth: 0.3836, Acc.television receiver: 0.7955, Acc.airplane: 0.7371, Acc.dirt track: 0.3384, Acc.apparel: 0.4724, Acc.pole: 0.5537, Acc.land: 0.0280, Acc.bannister: 0.2382, Acc.escalator: 0.2325, Acc.ottoman: 0.7572, Acc.bottle: 0.4788, Acc.buffet: 0.4502, Acc.poster: 0.1610, Acc.stage: 0.3480, Acc.van: 0.7610, Acc.ship: 0.1059, Acc.fountain: 0.2173, Acc.conveyer belt: 0.6618, Acc.canopy: 0.3996, Acc.washer: 0.7335, Acc.plaything: 0.6572, Acc.swimming pool: 0.5948, Acc.stool: 0.7460, Acc.barrel: 0.9829, Acc.basket: 0.4768, Acc.waterfall: 0.9145, Acc.tent: 0.9852, Acc.bag: 0.2578, Acc.minibike: 0.8990, Acc.cradle: 0.9752, Acc.oven: 0.6669, Acc.ball: 0.6522, Acc.food: 0.7762, Acc.step: 0.2748, Acc.tank: 0.5499, Acc.trade name: 0.3744, Acc.microwave: 0.4515, Acc.pot: 0.5816, Acc.animal: 0.6300, Acc.bicycle: 0.8194, Acc.lake: 0.0000, Acc.dishwasher: 0.8608, Acc.screen: 0.9161, Acc.blanket: 0.4186, Acc.sculpture: 0.8826, Acc.hood: 0.7461, Acc.sconce: 0.6920, Acc.vase: 0.7022, Acc.traffic light: 0.6634, Acc.tray: 0.2935, Acc.ashcan: 0.6840, Acc.fan: 0.8570, Acc.pier: 0.4438, Acc.crt screen: 0.1467, Acc.plate: 0.7800, Acc.monitor: 0.0045, Acc.bulletin board: 0.7498, Acc.shower: 0.2088, Acc.radiator: 0.8023, Acc.glass: 0.2441, Acc.clock: 0.6527, Acc.flag: 0.5228 2023-11-12 07:45:19,911 - mmseg - INFO - Iter [64050/160000] lr: 5.997e-05, eta: 13:28:57, time: 0.974, data_time: 0.396, memory: 41146, decode.loss_cls: 0.2862, decode.loss_mask: 0.5250, decode.loss_dice: 0.7989, decode.d0.loss_cls: 1.2794, decode.d0.loss_mask: 0.5619, decode.d0.loss_dice: 0.8812, decode.d1.loss_cls: 0.3743, decode.d1.loss_mask: 0.5420, decode.d1.loss_dice: 0.8413, decode.d2.loss_cls: 0.3299, decode.d2.loss_mask: 0.5345, decode.d2.loss_dice: 0.8176, decode.d3.loss_cls: 0.3086, decode.d3.loss_mask: 0.5252, decode.d3.loss_dice: 0.8007, decode.d4.loss_cls: 0.3000, decode.d4.loss_mask: 0.5264, decode.d4.loss_dice: 0.8069, decode.d5.loss_cls: 0.2980, decode.d5.loss_mask: 0.5283, decode.d5.loss_dice: 0.8039, decode.d6.loss_cls: 0.2907, decode.d6.loss_mask: 0.5267, decode.d6.loss_dice: 0.8030, decode.d7.loss_cls: 0.2871, decode.d7.loss_mask: 0.5256, decode.d7.loss_dice: 0.8033, decode.d8.loss_cls: 0.2900, decode.d8.loss_mask: 0.5249, decode.d8.loss_dice: 0.8008, loss: 17.5223, grad_norm: 52.4630 2023-11-12 07:45:44,437 - mmseg - INFO - Iter [64100/160000] lr: 5.994e-05, eta: 13:28:31, time: 0.491, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2866, decode.loss_mask: 0.5217, decode.loss_dice: 0.7753, decode.d0.loss_cls: 1.2645, decode.d0.loss_mask: 0.5544, decode.d0.loss_dice: 0.8467, decode.d1.loss_cls: 0.3506, decode.d1.loss_mask: 0.5410, decode.d1.loss_dice: 0.8261, decode.d2.loss_cls: 0.3142, decode.d2.loss_mask: 0.5272, decode.d2.loss_dice: 0.8016, decode.d3.loss_cls: 0.2928, decode.d3.loss_mask: 0.5240, decode.d3.loss_dice: 0.7908, decode.d4.loss_cls: 0.2934, decode.d4.loss_mask: 0.5218, decode.d4.loss_dice: 0.7839, decode.d5.loss_cls: 0.2878, decode.d5.loss_mask: 0.5226, decode.d5.loss_dice: 0.7843, decode.d6.loss_cls: 0.2846, decode.d6.loss_mask: 0.5236, decode.d6.loss_dice: 0.7811, decode.d7.loss_cls: 0.2840, decode.d7.loss_mask: 0.5217, decode.d7.loss_dice: 0.7794, decode.d8.loss_cls: 0.2881, decode.d8.loss_mask: 0.5222, decode.d8.loss_dice: 0.7800, loss: 17.1760, grad_norm: 49.1839 2023-11-12 07:46:08,735 - mmseg - INFO - Iter [64150/160000] lr: 5.991e-05, eta: 13:28:04, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2829, decode.loss_mask: 0.5192, decode.loss_dice: 0.7571, decode.d0.loss_cls: 1.2985, decode.d0.loss_mask: 0.5567, decode.d0.loss_dice: 0.8396, decode.d1.loss_cls: 0.3635, decode.d1.loss_mask: 0.5436, decode.d1.loss_dice: 0.8067, decode.d2.loss_cls: 0.3192, decode.d2.loss_mask: 0.5342, decode.d2.loss_dice: 0.7797, decode.d3.loss_cls: 0.3079, decode.d3.loss_mask: 0.5269, decode.d3.loss_dice: 0.7704, decode.d4.loss_cls: 0.2976, decode.d4.loss_mask: 0.5246, decode.d4.loss_dice: 0.7664, decode.d5.loss_cls: 0.2946, decode.d5.loss_mask: 0.5220, decode.d5.loss_dice: 0.7622, decode.d6.loss_cls: 0.2911, decode.d6.loss_mask: 0.5207, decode.d6.loss_dice: 0.7580, decode.d7.loss_cls: 0.2879, decode.d7.loss_mask: 0.5213, decode.d7.loss_dice: 0.7588, decode.d8.loss_cls: 0.2878, decode.d8.loss_mask: 0.5183, decode.d8.loss_dice: 0.7601, loss: 17.0771, grad_norm: 50.1675 2023-11-12 07:46:33,327 - mmseg - INFO - Iter [64200/160000] lr: 5.988e-05, eta: 13:27:38, time: 0.492, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2917, decode.loss_mask: 0.5179, decode.loss_dice: 0.7745, decode.d0.loss_cls: 1.2570, decode.d0.loss_mask: 0.5563, decode.d0.loss_dice: 0.8452, decode.d1.loss_cls: 0.3649, decode.d1.loss_mask: 0.5383, decode.d1.loss_dice: 0.8120, decode.d2.loss_cls: 0.3261, decode.d2.loss_mask: 0.5256, decode.d2.loss_dice: 0.7944, decode.d3.loss_cls: 0.3116, decode.d3.loss_mask: 0.5195, decode.d3.loss_dice: 0.7781, decode.d4.loss_cls: 0.3042, decode.d4.loss_mask: 0.5175, decode.d4.loss_dice: 0.7784, decode.d5.loss_cls: 0.2982, decode.d5.loss_mask: 0.5172, decode.d5.loss_dice: 0.7789, decode.d6.loss_cls: 0.2958, decode.d6.loss_mask: 0.5166, decode.d6.loss_dice: 0.7715, decode.d7.loss_cls: 0.2959, decode.d7.loss_mask: 0.5160, decode.d7.loss_dice: 0.7729, decode.d8.loss_cls: 0.2905, decode.d8.loss_mask: 0.5166, decode.d8.loss_dice: 0.7742, loss: 17.1574, grad_norm: 48.9219 2023-11-12 07:46:57,940 - mmseg - INFO - Iter [64250/160000] lr: 5.984e-05, eta: 13:27:11, time: 0.492, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2896, decode.loss_mask: 0.4920, decode.loss_dice: 0.7529, decode.d0.loss_cls: 1.2946, decode.d0.loss_mask: 0.5198, decode.d0.loss_dice: 0.8273, decode.d1.loss_cls: 0.3710, decode.d1.loss_mask: 0.5035, decode.d1.loss_dice: 0.7894, decode.d2.loss_cls: 0.3292, decode.d2.loss_mask: 0.4968, decode.d2.loss_dice: 0.7740, decode.d3.loss_cls: 0.3119, decode.d3.loss_mask: 0.4905, decode.d3.loss_dice: 0.7567, decode.d4.loss_cls: 0.3009, decode.d4.loss_mask: 0.4938, decode.d4.loss_dice: 0.7551, decode.d5.loss_cls: 0.2961, decode.d5.loss_mask: 0.4925, decode.d5.loss_dice: 0.7549, decode.d6.loss_cls: 0.2903, decode.d6.loss_mask: 0.4919, decode.d6.loss_dice: 0.7491, decode.d7.loss_cls: 0.2906, decode.d7.loss_mask: 0.4914, decode.d7.loss_dice: 0.7527, decode.d8.loss_cls: 0.2875, decode.d8.loss_mask: 0.4926, decode.d8.loss_dice: 0.7510, loss: 16.6897, grad_norm: 46.7136 2023-11-12 07:47:23,198 - mmseg - INFO - Iter [64300/160000] lr: 5.981e-05, eta: 13:26:46, time: 0.505, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2879, decode.loss_mask: 0.5171, decode.loss_dice: 0.8032, decode.d0.loss_cls: 1.2918, decode.d0.loss_mask: 0.5563, decode.d0.loss_dice: 0.8665, decode.d1.loss_cls: 0.3605, decode.d1.loss_mask: 0.5351, decode.d1.loss_dice: 0.8447, decode.d2.loss_cls: 0.3210, decode.d2.loss_mask: 0.5244, decode.d2.loss_dice: 0.8222, decode.d3.loss_cls: 0.3063, decode.d3.loss_mask: 0.5195, decode.d3.loss_dice: 0.8089, decode.d4.loss_cls: 0.2920, decode.d4.loss_mask: 0.5229, decode.d4.loss_dice: 0.8079, decode.d5.loss_cls: 0.2893, decode.d5.loss_mask: 0.5193, decode.d5.loss_dice: 0.8063, decode.d6.loss_cls: 0.2871, decode.d6.loss_mask: 0.5184, decode.d6.loss_dice: 0.7981, decode.d7.loss_cls: 0.2816, decode.d7.loss_mask: 0.5162, decode.d7.loss_dice: 0.7998, decode.d8.loss_cls: 0.2840, decode.d8.loss_mask: 0.5191, decode.d8.loss_dice: 0.7992, loss: 17.4066, grad_norm: 52.2772 2023-11-12 07:47:47,418 - mmseg - INFO - Iter [64350/160000] lr: 5.978e-05, eta: 13:26:19, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2956, decode.loss_mask: 0.5104, decode.loss_dice: 0.7602, decode.d0.loss_cls: 1.3076, decode.d0.loss_mask: 0.5524, decode.d0.loss_dice: 0.8410, decode.d1.loss_cls: 0.3787, decode.d1.loss_mask: 0.5279, decode.d1.loss_dice: 0.8055, decode.d2.loss_cls: 0.3391, decode.d2.loss_mask: 0.5151, decode.d2.loss_dice: 0.7789, decode.d3.loss_cls: 0.3120, decode.d3.loss_mask: 0.5139, decode.d3.loss_dice: 0.7675, decode.d4.loss_cls: 0.3016, decode.d4.loss_mask: 0.5147, decode.d4.loss_dice: 0.7649, decode.d5.loss_cls: 0.3007, decode.d5.loss_mask: 0.5141, decode.d5.loss_dice: 0.7651, decode.d6.loss_cls: 0.2976, decode.d6.loss_mask: 0.5128, decode.d6.loss_dice: 0.7651, decode.d7.loss_cls: 0.2924, decode.d7.loss_mask: 0.5121, decode.d7.loss_dice: 0.7633, decode.d8.loss_cls: 0.2955, decode.d8.loss_mask: 0.5116, decode.d8.loss_dice: 0.7639, loss: 17.0813, grad_norm: 49.0666 2023-11-12 07:48:11,491 - mmseg - INFO - Iter [64400/160000] lr: 5.975e-05, eta: 13:25:52, time: 0.481, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2983, decode.loss_mask: 0.5453, decode.loss_dice: 0.7766, decode.d0.loss_cls: 1.2833, decode.d0.loss_mask: 0.5875, decode.d0.loss_dice: 0.8560, decode.d1.loss_cls: 0.3823, decode.d1.loss_mask: 0.5642, decode.d1.loss_dice: 0.8226, decode.d2.loss_cls: 0.3349, decode.d2.loss_mask: 0.5523, decode.d2.loss_dice: 0.7997, decode.d3.loss_cls: 0.3240, decode.d3.loss_mask: 0.5459, decode.d3.loss_dice: 0.7842, decode.d4.loss_cls: 0.3052, decode.d4.loss_mask: 0.5453, decode.d4.loss_dice: 0.7865, decode.d5.loss_cls: 0.3026, decode.d5.loss_mask: 0.5449, decode.d5.loss_dice: 0.7860, decode.d6.loss_cls: 0.3013, decode.d6.loss_mask: 0.5441, decode.d6.loss_dice: 0.7785, decode.d7.loss_cls: 0.2954, decode.d7.loss_mask: 0.5429, decode.d7.loss_dice: 0.7807, decode.d8.loss_cls: 0.2937, decode.d8.loss_mask: 0.5434, decode.d8.loss_dice: 0.7825, loss: 17.5898, grad_norm: 54.8185 2023-11-12 07:48:37,710 - mmseg - INFO - Iter [64450/160000] lr: 5.972e-05, eta: 13:25:28, time: 0.524, data_time: 0.057, memory: 41146, decode.loss_cls: 0.2655, decode.loss_mask: 0.4930, decode.loss_dice: 0.7523, decode.d0.loss_cls: 1.2615, decode.d0.loss_mask: 0.5240, decode.d0.loss_dice: 0.8207, decode.d1.loss_cls: 0.3363, decode.d1.loss_mask: 0.5115, decode.d1.loss_dice: 0.7927, decode.d2.loss_cls: 0.3008, decode.d2.loss_mask: 0.4983, decode.d2.loss_dice: 0.7694, decode.d3.loss_cls: 0.2874, decode.d3.loss_mask: 0.4925, decode.d3.loss_dice: 0.7537, decode.d4.loss_cls: 0.2767, decode.d4.loss_mask: 0.4915, decode.d4.loss_dice: 0.7520, decode.d5.loss_cls: 0.2694, decode.d5.loss_mask: 0.4933, decode.d5.loss_dice: 0.7521, decode.d6.loss_cls: 0.2691, decode.d6.loss_mask: 0.4920, decode.d6.loss_dice: 0.7506, decode.d7.loss_cls: 0.2698, decode.d7.loss_mask: 0.4914, decode.d7.loss_dice: 0.7497, decode.d8.loss_cls: 0.2641, decode.d8.loss_mask: 0.4922, decode.d8.loss_dice: 0.7541, loss: 16.4274, grad_norm: 46.6182 2023-11-12 07:49:01,571 - mmseg - INFO - Iter [64500/160000] lr: 5.969e-05, eta: 13:25:01, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2772, decode.loss_mask: 0.5090, decode.loss_dice: 0.7756, decode.d0.loss_cls: 1.3211, decode.d0.loss_mask: 0.5409, decode.d0.loss_dice: 0.8465, decode.d1.loss_cls: 0.3709, decode.d1.loss_mask: 0.5237, decode.d1.loss_dice: 0.8125, decode.d2.loss_cls: 0.3184, decode.d2.loss_mask: 0.5171, decode.d2.loss_dice: 0.7921, decode.d3.loss_cls: 0.2990, decode.d3.loss_mask: 0.5112, decode.d3.loss_dice: 0.7766, decode.d4.loss_cls: 0.2921, decode.d4.loss_mask: 0.5078, decode.d4.loss_dice: 0.7748, decode.d5.loss_cls: 0.2898, decode.d5.loss_mask: 0.5086, decode.d5.loss_dice: 0.7770, decode.d6.loss_cls: 0.2851, decode.d6.loss_mask: 0.5106, decode.d6.loss_dice: 0.7689, decode.d7.loss_cls: 0.2814, decode.d7.loss_mask: 0.5096, decode.d7.loss_dice: 0.7706, decode.d8.loss_cls: 0.2770, decode.d8.loss_mask: 0.5106, decode.d8.loss_dice: 0.7676, loss: 17.0231, grad_norm: 51.3112 2023-11-12 07:49:25,634 - mmseg - INFO - Iter [64550/160000] lr: 5.966e-05, eta: 13:24:34, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2770, decode.loss_mask: 0.4882, decode.loss_dice: 0.7440, decode.d0.loss_cls: 1.2618, decode.d0.loss_mask: 0.5219, decode.d0.loss_dice: 0.8085, decode.d1.loss_cls: 0.3486, decode.d1.loss_mask: 0.5091, decode.d1.loss_dice: 0.7822, decode.d2.loss_cls: 0.3123, decode.d2.loss_mask: 0.4979, decode.d2.loss_dice: 0.7638, decode.d3.loss_cls: 0.2892, decode.d3.loss_mask: 0.4940, decode.d3.loss_dice: 0.7467, decode.d4.loss_cls: 0.2874, decode.d4.loss_mask: 0.4913, decode.d4.loss_dice: 0.7485, decode.d5.loss_cls: 0.2868, decode.d5.loss_mask: 0.4903, decode.d5.loss_dice: 0.7469, decode.d6.loss_cls: 0.2864, decode.d6.loss_mask: 0.4911, decode.d6.loss_dice: 0.7426, decode.d7.loss_cls: 0.2752, decode.d7.loss_mask: 0.4900, decode.d7.loss_dice: 0.7466, decode.d8.loss_cls: 0.2749, decode.d8.loss_mask: 0.4891, decode.d8.loss_dice: 0.7492, loss: 16.4417, grad_norm: 44.6415 2023-11-12 07:49:49,543 - mmseg - INFO - Iter [64600/160000] lr: 5.963e-05, eta: 13:24:06, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2627, decode.loss_mask: 0.5272, decode.loss_dice: 0.7572, decode.d0.loss_cls: 1.2311, decode.d0.loss_mask: 0.5592, decode.d0.loss_dice: 0.8278, decode.d1.loss_cls: 0.3384, decode.d1.loss_mask: 0.5434, decode.d1.loss_dice: 0.7965, decode.d2.loss_cls: 0.2991, decode.d2.loss_mask: 0.5331, decode.d2.loss_dice: 0.7727, decode.d3.loss_cls: 0.2807, decode.d3.loss_mask: 0.5282, decode.d3.loss_dice: 0.7585, decode.d4.loss_cls: 0.2732, decode.d4.loss_mask: 0.5299, decode.d4.loss_dice: 0.7621, decode.d5.loss_cls: 0.2724, decode.d5.loss_mask: 0.5271, decode.d5.loss_dice: 0.7588, decode.d6.loss_cls: 0.2690, decode.d6.loss_mask: 0.5257, decode.d6.loss_dice: 0.7572, decode.d7.loss_cls: 0.2652, decode.d7.loss_mask: 0.5245, decode.d7.loss_dice: 0.7551, decode.d8.loss_cls: 0.2670, decode.d8.loss_mask: 0.5263, decode.d8.loss_dice: 0.7580, loss: 16.7870, grad_norm: 48.7296 2023-11-12 07:50:21,238 - mmseg - INFO - Iter [64650/160000] lr: 5.959e-05, eta: 13:23:51, time: 0.634, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2758, decode.loss_mask: 0.5181, decode.loss_dice: 0.7523, decode.d0.loss_cls: 1.2718, decode.d0.loss_mask: 0.5484, decode.d0.loss_dice: 0.8249, decode.d1.loss_cls: 0.3554, decode.d1.loss_mask: 0.5340, decode.d1.loss_dice: 0.7960, decode.d2.loss_cls: 0.3113, decode.d2.loss_mask: 0.5234, decode.d2.loss_dice: 0.7764, decode.d3.loss_cls: 0.2980, decode.d3.loss_mask: 0.5230, decode.d3.loss_dice: 0.7584, decode.d4.loss_cls: 0.2908, decode.d4.loss_mask: 0.5210, decode.d4.loss_dice: 0.7569, decode.d5.loss_cls: 0.2829, decode.d5.loss_mask: 0.5230, decode.d5.loss_dice: 0.7605, decode.d6.loss_cls: 0.2779, decode.d6.loss_mask: 0.5194, decode.d6.loss_dice: 0.7544, decode.d7.loss_cls: 0.2782, decode.d7.loss_mask: 0.5175, decode.d7.loss_dice: 0.7508, decode.d8.loss_cls: 0.2770, decode.d8.loss_mask: 0.5194, decode.d8.loss_dice: 0.7540, loss: 16.8507, grad_norm: 46.7143 2023-11-12 07:50:45,604 - mmseg - INFO - Iter [64700/160000] lr: 5.956e-05, eta: 13:23:24, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2815, decode.loss_mask: 0.4988, decode.loss_dice: 0.7479, decode.d0.loss_cls: 1.2982, decode.d0.loss_mask: 0.5315, decode.d0.loss_dice: 0.8214, decode.d1.loss_cls: 0.3591, decode.d1.loss_mask: 0.5172, decode.d1.loss_dice: 0.7952, decode.d2.loss_cls: 0.3160, decode.d2.loss_mask: 0.5072, decode.d2.loss_dice: 0.7719, decode.d3.loss_cls: 0.3011, decode.d3.loss_mask: 0.5005, decode.d3.loss_dice: 0.7549, decode.d4.loss_cls: 0.2936, decode.d4.loss_mask: 0.4988, decode.d4.loss_dice: 0.7520, decode.d5.loss_cls: 0.2872, decode.d5.loss_mask: 0.4992, decode.d5.loss_dice: 0.7550, decode.d6.loss_cls: 0.2880, decode.d6.loss_mask: 0.4982, decode.d6.loss_dice: 0.7480, decode.d7.loss_cls: 0.2814, decode.d7.loss_mask: 0.4990, decode.d7.loss_dice: 0.7500, decode.d8.loss_cls: 0.2831, decode.d8.loss_mask: 0.4975, decode.d8.loss_dice: 0.7483, loss: 16.6816, grad_norm: 44.0359 2023-11-12 07:51:10,157 - mmseg - INFO - Iter [64750/160000] lr: 5.953e-05, eta: 13:22:58, time: 0.491, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2792, decode.loss_mask: 0.5141, decode.loss_dice: 0.7760, decode.d0.loss_cls: 1.2663, decode.d0.loss_mask: 0.5449, decode.d0.loss_dice: 0.8555, decode.d1.loss_cls: 0.3594, decode.d1.loss_mask: 0.5297, decode.d1.loss_dice: 0.8206, decode.d2.loss_cls: 0.3177, decode.d2.loss_mask: 0.5195, decode.d2.loss_dice: 0.8015, decode.d3.loss_cls: 0.2955, decode.d3.loss_mask: 0.5153, decode.d3.loss_dice: 0.7889, decode.d4.loss_cls: 0.2865, decode.d4.loss_mask: 0.5121, decode.d4.loss_dice: 0.7892, decode.d5.loss_cls: 0.2844, decode.d5.loss_mask: 0.5136, decode.d5.loss_dice: 0.7827, decode.d6.loss_cls: 0.2833, decode.d6.loss_mask: 0.5173, decode.d6.loss_dice: 0.7787, decode.d7.loss_cls: 0.2806, decode.d7.loss_mask: 0.5167, decode.d7.loss_dice: 0.7842, decode.d8.loss_cls: 0.2774, decode.d8.loss_mask: 0.5159, decode.d8.loss_dice: 0.7787, loss: 17.0853, grad_norm: 47.7547 2023-11-12 07:51:34,694 - mmseg - INFO - Iter [64800/160000] lr: 5.950e-05, eta: 13:22:31, time: 0.491, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2894, decode.loss_mask: 0.5313, decode.loss_dice: 0.7728, decode.d0.loss_cls: 1.2952, decode.d0.loss_mask: 0.5642, decode.d0.loss_dice: 0.8452, decode.d1.loss_cls: 0.3735, decode.d1.loss_mask: 0.5462, decode.d1.loss_dice: 0.8155, decode.d2.loss_cls: 0.3311, decode.d2.loss_mask: 0.5355, decode.d2.loss_dice: 0.7939, decode.d3.loss_cls: 0.3126, decode.d3.loss_mask: 0.5285, decode.d3.loss_dice: 0.7799, decode.d4.loss_cls: 0.3008, decode.d4.loss_mask: 0.5297, decode.d4.loss_dice: 0.7752, decode.d5.loss_cls: 0.2990, decode.d5.loss_mask: 0.5287, decode.d5.loss_dice: 0.7732, decode.d6.loss_cls: 0.2963, decode.d6.loss_mask: 0.5315, decode.d6.loss_dice: 0.7714, decode.d7.loss_cls: 0.2890, decode.d7.loss_mask: 0.5304, decode.d7.loss_dice: 0.7705, decode.d8.loss_cls: 0.2898, decode.d8.loss_mask: 0.5299, decode.d8.loss_dice: 0.7749, loss: 17.3051, grad_norm: 46.6075 2023-11-12 07:51:58,840 - mmseg - INFO - Iter [64850/160000] lr: 5.947e-05, eta: 13:22:04, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2750, decode.loss_mask: 0.5070, decode.loss_dice: 0.7456, decode.d0.loss_cls: 1.2504, decode.d0.loss_mask: 0.5479, decode.d0.loss_dice: 0.8228, decode.d1.loss_cls: 0.3445, decode.d1.loss_mask: 0.5255, decode.d1.loss_dice: 0.7925, decode.d2.loss_cls: 0.3067, decode.d2.loss_mask: 0.5176, decode.d2.loss_dice: 0.7688, decode.d3.loss_cls: 0.2950, decode.d3.loss_mask: 0.5100, decode.d3.loss_dice: 0.7523, decode.d4.loss_cls: 0.2847, decode.d4.loss_mask: 0.5112, decode.d4.loss_dice: 0.7465, decode.d5.loss_cls: 0.2799, decode.d5.loss_mask: 0.5091, decode.d5.loss_dice: 0.7511, decode.d6.loss_cls: 0.2834, decode.d6.loss_mask: 0.5055, decode.d6.loss_dice: 0.7460, decode.d7.loss_cls: 0.2835, decode.d7.loss_mask: 0.5063, decode.d7.loss_dice: 0.7453, decode.d8.loss_cls: 0.2752, decode.d8.loss_mask: 0.5050, decode.d8.loss_dice: 0.7504, loss: 16.6449, grad_norm: 46.0101 2023-11-12 07:52:25,948 - mmseg - INFO - Iter [64900/160000] lr: 5.944e-05, eta: 13:21:42, time: 0.542, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2720, decode.loss_mask: 0.5169, decode.loss_dice: 0.7674, decode.d0.loss_cls: 1.2655, decode.d0.loss_mask: 0.5507, decode.d0.loss_dice: 0.8419, decode.d1.loss_cls: 0.3518, decode.d1.loss_mask: 0.5345, decode.d1.loss_dice: 0.8190, decode.d2.loss_cls: 0.3082, decode.d2.loss_mask: 0.5224, decode.d2.loss_dice: 0.7940, decode.d3.loss_cls: 0.2888, decode.d3.loss_mask: 0.5191, decode.d3.loss_dice: 0.7769, decode.d4.loss_cls: 0.2785, decode.d4.loss_mask: 0.5183, decode.d4.loss_dice: 0.7768, decode.d5.loss_cls: 0.2790, decode.d5.loss_mask: 0.5179, decode.d5.loss_dice: 0.7769, decode.d6.loss_cls: 0.2730, decode.d6.loss_mask: 0.5165, decode.d6.loss_dice: 0.7688, decode.d7.loss_cls: 0.2689, decode.d7.loss_mask: 0.5167, decode.d7.loss_dice: 0.7692, decode.d8.loss_cls: 0.2671, decode.d8.loss_mask: 0.5170, decode.d8.loss_dice: 0.7725, loss: 16.9463, grad_norm: 46.4154 2023-11-12 07:52:52,080 - mmseg - INFO - Iter [64950/160000] lr: 5.941e-05, eta: 13:21:18, time: 0.523, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2711, decode.loss_mask: 0.4986, decode.loss_dice: 0.7694, decode.d0.loss_cls: 1.2823, decode.d0.loss_mask: 0.5300, decode.d0.loss_dice: 0.8457, decode.d1.loss_cls: 0.3470, decode.d1.loss_mask: 0.5135, decode.d1.loss_dice: 0.8188, decode.d2.loss_cls: 0.3114, decode.d2.loss_mask: 0.5076, decode.d2.loss_dice: 0.7918, decode.d3.loss_cls: 0.2941, decode.d3.loss_mask: 0.5018, decode.d3.loss_dice: 0.7791, decode.d4.loss_cls: 0.2805, decode.d4.loss_mask: 0.5007, decode.d4.loss_dice: 0.7790, decode.d5.loss_cls: 0.2779, decode.d5.loss_mask: 0.4989, decode.d5.loss_dice: 0.7751, decode.d6.loss_cls: 0.2766, decode.d6.loss_mask: 0.4993, decode.d6.loss_dice: 0.7735, decode.d7.loss_cls: 0.2703, decode.d7.loss_mask: 0.4989, decode.d7.loss_dice: 0.7721, decode.d8.loss_cls: 0.2715, decode.d8.loss_mask: 0.4991, decode.d8.loss_dice: 0.7728, loss: 16.8081, grad_norm: 45.2878 2023-11-12 07:53:16,011 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 07:53:16,011 - mmseg - INFO - Iter [65000/160000] lr: 5.938e-05, eta: 13:20:50, time: 0.479, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2845, decode.loss_mask: 0.4860, decode.loss_dice: 0.7667, decode.d0.loss_cls: 1.2742, decode.d0.loss_mask: 0.5201, decode.d0.loss_dice: 0.8439, decode.d1.loss_cls: 0.3705, decode.d1.loss_mask: 0.5038, decode.d1.loss_dice: 0.8021, decode.d2.loss_cls: 0.3191, decode.d2.loss_mask: 0.4918, decode.d2.loss_dice: 0.7837, decode.d3.loss_cls: 0.3045, decode.d3.loss_mask: 0.4873, decode.d3.loss_dice: 0.7734, decode.d4.loss_cls: 0.2957, decode.d4.loss_mask: 0.4899, decode.d4.loss_dice: 0.7711, decode.d5.loss_cls: 0.2894, decode.d5.loss_mask: 0.4875, decode.d5.loss_dice: 0.7716, decode.d6.loss_cls: 0.2855, decode.d6.loss_mask: 0.4873, decode.d6.loss_dice: 0.7676, decode.d7.loss_cls: 0.2833, decode.d7.loss_mask: 0.4882, decode.d7.loss_dice: 0.7672, decode.d8.loss_cls: 0.2814, decode.d8.loss_mask: 0.4872, decode.d8.loss_dice: 0.7648, loss: 16.7294, grad_norm: 45.2466 2023-11-12 07:53:40,570 - mmseg - INFO - Iter [65050/160000] lr: 5.934e-05, eta: 13:20:24, time: 0.491, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2777, decode.loss_mask: 0.5261, decode.loss_dice: 0.7560, decode.d0.loss_cls: 1.2738, decode.d0.loss_mask: 0.5609, decode.d0.loss_dice: 0.8389, decode.d1.loss_cls: 0.3581, decode.d1.loss_mask: 0.5452, decode.d1.loss_dice: 0.8053, decode.d2.loss_cls: 0.3170, decode.d2.loss_mask: 0.5333, decode.d2.loss_dice: 0.7827, decode.d3.loss_cls: 0.3028, decode.d3.loss_mask: 0.5292, decode.d3.loss_dice: 0.7640, decode.d4.loss_cls: 0.2953, decode.d4.loss_mask: 0.5265, decode.d4.loss_dice: 0.7672, decode.d5.loss_cls: 0.2913, decode.d5.loss_mask: 0.5281, decode.d5.loss_dice: 0.7640, decode.d6.loss_cls: 0.2886, decode.d6.loss_mask: 0.5262, decode.d6.loss_dice: 0.7552, decode.d7.loss_cls: 0.2796, decode.d7.loss_mask: 0.5239, decode.d7.loss_dice: 0.7597, decode.d8.loss_cls: 0.2781, decode.d8.loss_mask: 0.5260, decode.d8.loss_dice: 0.7597, loss: 17.0404, grad_norm: 47.8798 2023-11-12 07:54:07,819 - mmseg - INFO - Iter [65100/160000] lr: 5.931e-05, eta: 13:20:01, time: 0.545, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2904, decode.loss_mask: 0.5194, decode.loss_dice: 0.7596, decode.d0.loss_cls: 1.2915, decode.d0.loss_mask: 0.5615, decode.d0.loss_dice: 0.8380, decode.d1.loss_cls: 0.3748, decode.d1.loss_mask: 0.5431, decode.d1.loss_dice: 0.8024, decode.d2.loss_cls: 0.3315, decode.d2.loss_mask: 0.5282, decode.d2.loss_dice: 0.7804, decode.d3.loss_cls: 0.3114, decode.d3.loss_mask: 0.5264, decode.d3.loss_dice: 0.7703, decode.d4.loss_cls: 0.2956, decode.d4.loss_mask: 0.5273, decode.d4.loss_dice: 0.7670, decode.d5.loss_cls: 0.2969, decode.d5.loss_mask: 0.5213, decode.d5.loss_dice: 0.7680, decode.d6.loss_cls: 0.2956, decode.d6.loss_mask: 0.5214, decode.d6.loss_dice: 0.7577, decode.d7.loss_cls: 0.2943, decode.d7.loss_mask: 0.5217, decode.d7.loss_dice: 0.7601, decode.d8.loss_cls: 0.2880, decode.d8.loss_mask: 0.5211, decode.d8.loss_dice: 0.7626, loss: 17.1274, grad_norm: 47.5732 2023-11-12 07:54:33,172 - mmseg - INFO - Iter [65150/160000] lr: 5.928e-05, eta: 13:19:36, time: 0.507, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2975, decode.loss_mask: 0.5267, decode.loss_dice: 0.7739, decode.d0.loss_cls: 1.3173, decode.d0.loss_mask: 0.5618, decode.d0.loss_dice: 0.8483, decode.d1.loss_cls: 0.3909, decode.d1.loss_mask: 0.5470, decode.d1.loss_dice: 0.8232, decode.d2.loss_cls: 0.3397, decode.d2.loss_mask: 0.5341, decode.d2.loss_dice: 0.8070, decode.d3.loss_cls: 0.3177, decode.d3.loss_mask: 0.5282, decode.d3.loss_dice: 0.7852, decode.d4.loss_cls: 0.3096, decode.d4.loss_mask: 0.5282, decode.d4.loss_dice: 0.7811, decode.d5.loss_cls: 0.3067, decode.d5.loss_mask: 0.5291, decode.d5.loss_dice: 0.7794, decode.d6.loss_cls: 0.2999, decode.d6.loss_mask: 0.5269, decode.d6.loss_dice: 0.7791, decode.d7.loss_cls: 0.2959, decode.d7.loss_mask: 0.5272, decode.d7.loss_dice: 0.7762, decode.d8.loss_cls: 0.2932, decode.d8.loss_mask: 0.5264, decode.d8.loss_dice: 0.7789, loss: 17.4363, grad_norm: 51.3513 2023-11-12 07:54:57,849 - mmseg - INFO - Iter [65200/160000] lr: 5.925e-05, eta: 13:19:10, time: 0.494, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2844, decode.loss_mask: 0.4993, decode.loss_dice: 0.7593, decode.d0.loss_cls: 1.2541, decode.d0.loss_mask: 0.5350, decode.d0.loss_dice: 0.8318, decode.d1.loss_cls: 0.3457, decode.d1.loss_mask: 0.5186, decode.d1.loss_dice: 0.8005, decode.d2.loss_cls: 0.3091, decode.d2.loss_mask: 0.5081, decode.d2.loss_dice: 0.7815, decode.d3.loss_cls: 0.2948, decode.d3.loss_mask: 0.5018, decode.d3.loss_dice: 0.7596, decode.d4.loss_cls: 0.2874, decode.d4.loss_mask: 0.4982, decode.d4.loss_dice: 0.7602, decode.d5.loss_cls: 0.2857, decode.d5.loss_mask: 0.4991, decode.d5.loss_dice: 0.7643, decode.d6.loss_cls: 0.2787, decode.d6.loss_mask: 0.4986, decode.d6.loss_dice: 0.7543, decode.d7.loss_cls: 0.2777, decode.d7.loss_mask: 0.4971, decode.d7.loss_dice: 0.7603, decode.d8.loss_cls: 0.2765, decode.d8.loss_mask: 0.4998, decode.d8.loss_dice: 0.7666, loss: 16.6879, grad_norm: 49.2038 2023-11-12 07:55:22,341 - mmseg - INFO - Iter [65250/160000] lr: 5.922e-05, eta: 13:18:44, time: 0.490, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2811, decode.loss_mask: 0.5179, decode.loss_dice: 0.7584, decode.d0.loss_cls: 1.2956, decode.d0.loss_mask: 0.5527, decode.d0.loss_dice: 0.8288, decode.d1.loss_cls: 0.3665, decode.d1.loss_mask: 0.5379, decode.d1.loss_dice: 0.8036, decode.d2.loss_cls: 0.3210, decode.d2.loss_mask: 0.5268, decode.d2.loss_dice: 0.7755, decode.d3.loss_cls: 0.3001, decode.d3.loss_mask: 0.5224, decode.d3.loss_dice: 0.7603, decode.d4.loss_cls: 0.2907, decode.d4.loss_mask: 0.5190, decode.d4.loss_dice: 0.7630, decode.d5.loss_cls: 0.2866, decode.d5.loss_mask: 0.5176, decode.d5.loss_dice: 0.7620, decode.d6.loss_cls: 0.2809, decode.d6.loss_mask: 0.5184, decode.d6.loss_dice: 0.7556, decode.d7.loss_cls: 0.2813, decode.d7.loss_mask: 0.5170, decode.d7.loss_dice: 0.7597, decode.d8.loss_cls: 0.2738, decode.d8.loss_mask: 0.5197, decode.d8.loss_dice: 0.7600, loss: 16.9537, grad_norm: 47.9317 2023-11-12 07:55:47,424 - mmseg - INFO - Iter [65300/160000] lr: 5.919e-05, eta: 13:18:18, time: 0.502, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2917, decode.loss_mask: 0.5243, decode.loss_dice: 0.7830, decode.d0.loss_cls: 1.3111, decode.d0.loss_mask: 0.5557, decode.d0.loss_dice: 0.8513, decode.d1.loss_cls: 0.3731, decode.d1.loss_mask: 0.5374, decode.d1.loss_dice: 0.8272, decode.d2.loss_cls: 0.3308, decode.d2.loss_mask: 0.5293, decode.d2.loss_dice: 0.8050, decode.d3.loss_cls: 0.3106, decode.d3.loss_mask: 0.5225, decode.d3.loss_dice: 0.7874, decode.d4.loss_cls: 0.3097, decode.d4.loss_mask: 0.5237, decode.d4.loss_dice: 0.7863, decode.d5.loss_cls: 0.3020, decode.d5.loss_mask: 0.5220, decode.d5.loss_dice: 0.7857, decode.d6.loss_cls: 0.2956, decode.d6.loss_mask: 0.5196, decode.d6.loss_dice: 0.7791, decode.d7.loss_cls: 0.2940, decode.d7.loss_mask: 0.5238, decode.d7.loss_dice: 0.7801, decode.d8.loss_cls: 0.2925, decode.d8.loss_mask: 0.5232, decode.d8.loss_dice: 0.7803, loss: 17.3581, grad_norm: 48.9060 2023-11-12 07:56:12,548 - mmseg - INFO - Iter [65350/160000] lr: 5.916e-05, eta: 13:17:52, time: 0.502, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2762, decode.loss_mask: 0.5042, decode.loss_dice: 0.7606, decode.d0.loss_cls: 1.2820, decode.d0.loss_mask: 0.5431, decode.d0.loss_dice: 0.8398, decode.d1.loss_cls: 0.3604, decode.d1.loss_mask: 0.5247, decode.d1.loss_dice: 0.8007, decode.d2.loss_cls: 0.3222, decode.d2.loss_mask: 0.5138, decode.d2.loss_dice: 0.7759, decode.d3.loss_cls: 0.3106, decode.d3.loss_mask: 0.5063, decode.d3.loss_dice: 0.7603, decode.d4.loss_cls: 0.2951, decode.d4.loss_mask: 0.5073, decode.d4.loss_dice: 0.7659, decode.d5.loss_cls: 0.2905, decode.d5.loss_mask: 0.5066, decode.d5.loss_dice: 0.7606, decode.d6.loss_cls: 0.2845, decode.d6.loss_mask: 0.5047, decode.d6.loss_dice: 0.7572, decode.d7.loss_cls: 0.2818, decode.d7.loss_mask: 0.5072, decode.d7.loss_dice: 0.7613, decode.d8.loss_cls: 0.2850, decode.d8.loss_mask: 0.5038, decode.d8.loss_dice: 0.7588, loss: 16.8515, grad_norm: 45.2869 2023-11-12 07:56:36,444 - mmseg - INFO - Iter [65400/160000] lr: 5.913e-05, eta: 13:17:25, time: 0.478, data_time: 0.014, memory: 41146, decode.loss_cls: 0.3068, decode.loss_mask: 0.5309, decode.loss_dice: 0.7889, decode.d0.loss_cls: 1.3292, decode.d0.loss_mask: 0.5651, decode.d0.loss_dice: 0.8628, decode.d1.loss_cls: 0.3893, decode.d1.loss_mask: 0.5533, decode.d1.loss_dice: 0.8356, decode.d2.loss_cls: 0.3449, decode.d2.loss_mask: 0.5399, decode.d2.loss_dice: 0.8077, decode.d3.loss_cls: 0.3216, decode.d3.loss_mask: 0.5340, decode.d3.loss_dice: 0.7929, decode.d4.loss_cls: 0.3149, decode.d4.loss_mask: 0.5326, decode.d4.loss_dice: 0.7964, decode.d5.loss_cls: 0.3072, decode.d5.loss_mask: 0.5334, decode.d5.loss_dice: 0.7956, decode.d6.loss_cls: 0.3101, decode.d6.loss_mask: 0.5321, decode.d6.loss_dice: 0.7928, decode.d7.loss_cls: 0.3035, decode.d7.loss_mask: 0.5309, decode.d7.loss_dice: 0.7914, decode.d8.loss_cls: 0.3044, decode.d8.loss_mask: 0.5313, decode.d8.loss_dice: 0.7913, loss: 17.6708, grad_norm: 49.7379 2023-11-12 07:57:00,283 - mmseg - INFO - Iter [65450/160000] lr: 5.909e-05, eta: 13:16:58, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2849, decode.loss_mask: 0.5198, decode.loss_dice: 0.7733, decode.d0.loss_cls: 1.3055, decode.d0.loss_mask: 0.5515, decode.d0.loss_dice: 0.8451, decode.d1.loss_cls: 0.3594, decode.d1.loss_mask: 0.5410, decode.d1.loss_dice: 0.8140, decode.d2.loss_cls: 0.3147, decode.d2.loss_mask: 0.5294, decode.d2.loss_dice: 0.7973, decode.d3.loss_cls: 0.2967, decode.d3.loss_mask: 0.5220, decode.d3.loss_dice: 0.7829, decode.d4.loss_cls: 0.2917, decode.d4.loss_mask: 0.5230, decode.d4.loss_dice: 0.7801, decode.d5.loss_cls: 0.2845, decode.d5.loss_mask: 0.5204, decode.d5.loss_dice: 0.7777, decode.d6.loss_cls: 0.2894, decode.d6.loss_mask: 0.5194, decode.d6.loss_dice: 0.7746, decode.d7.loss_cls: 0.2790, decode.d7.loss_mask: 0.5225, decode.d7.loss_dice: 0.7758, decode.d8.loss_cls: 0.2828, decode.d8.loss_mask: 0.5208, decode.d8.loss_dice: 0.7780, loss: 17.1572, grad_norm: 46.6720 2023-11-12 07:57:24,333 - mmseg - INFO - Iter [65500/160000] lr: 5.906e-05, eta: 13:16:31, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2952, decode.loss_mask: 0.5280, decode.loss_dice: 0.7973, decode.d0.loss_cls: 1.2895, decode.d0.loss_mask: 0.5629, decode.d0.loss_dice: 0.8705, decode.d1.loss_cls: 0.3737, decode.d1.loss_mask: 0.5463, decode.d1.loss_dice: 0.8367, decode.d2.loss_cls: 0.3264, decode.d2.loss_mask: 0.5371, decode.d2.loss_dice: 0.8157, decode.d3.loss_cls: 0.3089, decode.d3.loss_mask: 0.5282, decode.d3.loss_dice: 0.7982, decode.d4.loss_cls: 0.3013, decode.d4.loss_mask: 0.5280, decode.d4.loss_dice: 0.7997, decode.d5.loss_cls: 0.2977, decode.d5.loss_mask: 0.5291, decode.d5.loss_dice: 0.7929, decode.d6.loss_cls: 0.3024, decode.d6.loss_mask: 0.5279, decode.d6.loss_dice: 0.7946, decode.d7.loss_cls: 0.2951, decode.d7.loss_mask: 0.5268, decode.d7.loss_dice: 0.7938, decode.d8.loss_cls: 0.2941, decode.d8.loss_mask: 0.5265, decode.d8.loss_dice: 0.7955, loss: 17.5201, grad_norm: 48.8459 2023-11-12 07:57:48,366 - mmseg - INFO - Iter [65550/160000] lr: 5.903e-05, eta: 13:16:04, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2977, decode.loss_mask: 0.5062, decode.loss_dice: 0.7657, decode.d0.loss_cls: 1.2894, decode.d0.loss_mask: 0.5445, decode.d0.loss_dice: 0.8444, decode.d1.loss_cls: 0.3739, decode.d1.loss_mask: 0.5201, decode.d1.loss_dice: 0.8158, decode.d2.loss_cls: 0.3382, decode.d2.loss_mask: 0.5112, decode.d2.loss_dice: 0.7964, decode.d3.loss_cls: 0.3162, decode.d3.loss_mask: 0.5101, decode.d3.loss_dice: 0.7739, decode.d4.loss_cls: 0.3109, decode.d4.loss_mask: 0.5085, decode.d4.loss_dice: 0.7746, decode.d5.loss_cls: 0.3111, decode.d5.loss_mask: 0.5081, decode.d5.loss_dice: 0.7700, decode.d6.loss_cls: 0.3040, decode.d6.loss_mask: 0.5092, decode.d6.loss_dice: 0.7666, decode.d7.loss_cls: 0.3029, decode.d7.loss_mask: 0.5085, decode.d7.loss_dice: 0.7688, decode.d8.loss_cls: 0.2989, decode.d8.loss_mask: 0.5062, decode.d8.loss_dice: 0.7676, loss: 17.1197, grad_norm: 44.1887 2023-11-12 07:58:12,384 - mmseg - INFO - Iter [65600/160000] lr: 5.900e-05, eta: 13:15:37, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2768, decode.loss_mask: 0.5325, decode.loss_dice: 0.7700, decode.d0.loss_cls: 1.2671, decode.d0.loss_mask: 0.5735, decode.d0.loss_dice: 0.8416, decode.d1.loss_cls: 0.3518, decode.d1.loss_mask: 0.5580, decode.d1.loss_dice: 0.8103, decode.d2.loss_cls: 0.3136, decode.d2.loss_mask: 0.5452, decode.d2.loss_dice: 0.7867, decode.d3.loss_cls: 0.2993, decode.d3.loss_mask: 0.5348, decode.d3.loss_dice: 0.7740, decode.d4.loss_cls: 0.2936, decode.d4.loss_mask: 0.5352, decode.d4.loss_dice: 0.7749, decode.d5.loss_cls: 0.2853, decode.d5.loss_mask: 0.5354, decode.d5.loss_dice: 0.7738, decode.d6.loss_cls: 0.2836, decode.d6.loss_mask: 0.5325, decode.d6.loss_dice: 0.7719, decode.d7.loss_cls: 0.2786, decode.d7.loss_mask: 0.5340, decode.d7.loss_dice: 0.7677, decode.d8.loss_cls: 0.2732, decode.d8.loss_mask: 0.5326, decode.d8.loss_dice: 0.7696, loss: 17.1772, grad_norm: 48.4034 2023-11-12 07:58:36,502 - mmseg - INFO - Iter [65650/160000] lr: 5.897e-05, eta: 13:15:10, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2935, decode.loss_mask: 0.5223, decode.loss_dice: 0.7902, decode.d0.loss_cls: 1.3002, decode.d0.loss_mask: 0.5533, decode.d0.loss_dice: 0.8572, decode.d1.loss_cls: 0.3751, decode.d1.loss_mask: 0.5405, decode.d1.loss_dice: 0.8285, decode.d2.loss_cls: 0.3352, decode.d2.loss_mask: 0.5276, decode.d2.loss_dice: 0.8101, decode.d3.loss_cls: 0.3157, decode.d3.loss_mask: 0.5239, decode.d3.loss_dice: 0.7970, decode.d4.loss_cls: 0.3019, decode.d4.loss_mask: 0.5225, decode.d4.loss_dice: 0.7948, decode.d5.loss_cls: 0.2990, decode.d5.loss_mask: 0.5248, decode.d5.loss_dice: 0.7996, decode.d6.loss_cls: 0.2965, decode.d6.loss_mask: 0.5234, decode.d6.loss_dice: 0.7921, decode.d7.loss_cls: 0.2951, decode.d7.loss_mask: 0.5222, decode.d7.loss_dice: 0.7968, decode.d8.loss_cls: 0.2947, decode.d8.loss_mask: 0.5222, decode.d8.loss_dice: 0.7956, loss: 17.4516, grad_norm: 49.1973 2023-11-12 07:59:02,674 - mmseg - INFO - Iter [65700/160000] lr: 5.894e-05, eta: 13:14:46, time: 0.523, data_time: 0.058, memory: 41146, decode.loss_cls: 0.2766, decode.loss_mask: 0.5174, decode.loss_dice: 0.7618, decode.d0.loss_cls: 1.2828, decode.d0.loss_mask: 0.5560, decode.d0.loss_dice: 0.8457, decode.d1.loss_cls: 0.3532, decode.d1.loss_mask: 0.5394, decode.d1.loss_dice: 0.8083, decode.d2.loss_cls: 0.3120, decode.d2.loss_mask: 0.5258, decode.d2.loss_dice: 0.7857, decode.d3.loss_cls: 0.2943, decode.d3.loss_mask: 0.5215, decode.d3.loss_dice: 0.7733, decode.d4.loss_cls: 0.2909, decode.d4.loss_mask: 0.5197, decode.d4.loss_dice: 0.7755, decode.d5.loss_cls: 0.2837, decode.d5.loss_mask: 0.5189, decode.d5.loss_dice: 0.7717, decode.d6.loss_cls: 0.2825, decode.d6.loss_mask: 0.5171, decode.d6.loss_dice: 0.7646, decode.d7.loss_cls: 0.2739, decode.d7.loss_mask: 0.5170, decode.d7.loss_dice: 0.7705, decode.d8.loss_cls: 0.2795, decode.d8.loss_mask: 0.5175, decode.d8.loss_dice: 0.7652, loss: 17.0021, grad_norm: 47.5543 2023-11-12 07:59:26,658 - mmseg - INFO - Iter [65750/160000] lr: 5.891e-05, eta: 13:14:18, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2630, decode.loss_mask: 0.5188, decode.loss_dice: 0.7674, decode.d0.loss_cls: 1.3151, decode.d0.loss_mask: 0.5575, decode.d0.loss_dice: 0.8457, decode.d1.loss_cls: 0.3590, decode.d1.loss_mask: 0.5389, decode.d1.loss_dice: 0.8143, decode.d2.loss_cls: 0.3138, decode.d2.loss_mask: 0.5282, decode.d2.loss_dice: 0.7868, decode.d3.loss_cls: 0.2921, decode.d3.loss_mask: 0.5217, decode.d3.loss_dice: 0.7714, decode.d4.loss_cls: 0.2796, decode.d4.loss_mask: 0.5232, decode.d4.loss_dice: 0.7742, decode.d5.loss_cls: 0.2715, decode.d5.loss_mask: 0.5222, decode.d5.loss_dice: 0.7743, decode.d6.loss_cls: 0.2717, decode.d6.loss_mask: 0.5194, decode.d6.loss_dice: 0.7664, decode.d7.loss_cls: 0.2668, decode.d7.loss_mask: 0.5190, decode.d7.loss_dice: 0.7685, decode.d8.loss_cls: 0.2628, decode.d8.loss_mask: 0.5194, decode.d8.loss_dice: 0.7699, loss: 17.0022, grad_norm: 50.4478 2023-11-12 07:59:50,767 - mmseg - INFO - Iter [65800/160000] lr: 5.888e-05, eta: 13:13:51, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2712, decode.loss_mask: 0.4972, decode.loss_dice: 0.7365, decode.d0.loss_cls: 1.2499, decode.d0.loss_mask: 0.5309, decode.d0.loss_dice: 0.8140, decode.d1.loss_cls: 0.3531, decode.d1.loss_mask: 0.5118, decode.d1.loss_dice: 0.7745, decode.d2.loss_cls: 0.3112, decode.d2.loss_mask: 0.5030, decode.d2.loss_dice: 0.7563, decode.d3.loss_cls: 0.2951, decode.d3.loss_mask: 0.4993, decode.d3.loss_dice: 0.7407, decode.d4.loss_cls: 0.2791, decode.d4.loss_mask: 0.4993, decode.d4.loss_dice: 0.7395, decode.d5.loss_cls: 0.2776, decode.d5.loss_mask: 0.4988, decode.d5.loss_dice: 0.7337, decode.d6.loss_cls: 0.2812, decode.d6.loss_mask: 0.4982, decode.d6.loss_dice: 0.7342, decode.d7.loss_cls: 0.2736, decode.d7.loss_mask: 0.4974, decode.d7.loss_dice: 0.7381, decode.d8.loss_cls: 0.2750, decode.d8.loss_mask: 0.4973, decode.d8.loss_dice: 0.7348, loss: 16.4026, grad_norm: 45.7655 2023-11-12 08:00:14,911 - mmseg - INFO - Iter [65850/160000] lr: 5.884e-05, eta: 13:13:25, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2667, decode.loss_mask: 0.5189, decode.loss_dice: 0.7630, decode.d0.loss_cls: 1.2472, decode.d0.loss_mask: 0.5549, decode.d0.loss_dice: 0.8367, decode.d1.loss_cls: 0.3512, decode.d1.loss_mask: 0.5337, decode.d1.loss_dice: 0.8025, decode.d2.loss_cls: 0.3064, decode.d2.loss_mask: 0.5246, decode.d2.loss_dice: 0.7785, decode.d3.loss_cls: 0.2926, decode.d3.loss_mask: 0.5211, decode.d3.loss_dice: 0.7642, decode.d4.loss_cls: 0.2801, decode.d4.loss_mask: 0.5204, decode.d4.loss_dice: 0.7709, decode.d5.loss_cls: 0.2765, decode.d5.loss_mask: 0.5208, decode.d5.loss_dice: 0.7646, decode.d6.loss_cls: 0.2727, decode.d6.loss_mask: 0.5193, decode.d6.loss_dice: 0.7626, decode.d7.loss_cls: 0.2731, decode.d7.loss_mask: 0.5164, decode.d7.loss_dice: 0.7642, decode.d8.loss_cls: 0.2736, decode.d8.loss_mask: 0.5176, decode.d8.loss_dice: 0.7647, loss: 16.8597, grad_norm: 47.0351 2023-11-12 08:00:38,869 - mmseg - INFO - Iter [65900/160000] lr: 5.881e-05, eta: 13:12:57, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2656, decode.loss_mask: 0.4979, decode.loss_dice: 0.7402, decode.d0.loss_cls: 1.2561, decode.d0.loss_mask: 0.5368, decode.d0.loss_dice: 0.8119, decode.d1.loss_cls: 0.3300, decode.d1.loss_mask: 0.5186, decode.d1.loss_dice: 0.7873, decode.d2.loss_cls: 0.2924, decode.d2.loss_mask: 0.5104, decode.d2.loss_dice: 0.7657, decode.d3.loss_cls: 0.2814, decode.d3.loss_mask: 0.5038, decode.d3.loss_dice: 0.7542, decode.d4.loss_cls: 0.2647, decode.d4.loss_mask: 0.5021, decode.d4.loss_dice: 0.7491, decode.d5.loss_cls: 0.2671, decode.d5.loss_mask: 0.5003, decode.d5.loss_dice: 0.7457, decode.d6.loss_cls: 0.2676, decode.d6.loss_mask: 0.4982, decode.d6.loss_dice: 0.7434, decode.d7.loss_cls: 0.2617, decode.d7.loss_mask: 0.4994, decode.d7.loss_dice: 0.7409, decode.d8.loss_cls: 0.2626, decode.d8.loss_mask: 0.4988, decode.d8.loss_dice: 0.7423, loss: 16.3963, grad_norm: 47.6929 2023-11-12 08:01:02,696 - mmseg - INFO - Iter [65950/160000] lr: 5.878e-05, eta: 13:12:30, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2830, decode.loss_mask: 0.5189, decode.loss_dice: 0.7772, decode.d0.loss_cls: 1.2911, decode.d0.loss_mask: 0.5510, decode.d0.loss_dice: 0.8580, decode.d1.loss_cls: 0.3761, decode.d1.loss_mask: 0.5309, decode.d1.loss_dice: 0.8226, decode.d2.loss_cls: 0.3204, decode.d2.loss_mask: 0.5240, decode.d2.loss_dice: 0.8053, decode.d3.loss_cls: 0.3095, decode.d3.loss_mask: 0.5171, decode.d3.loss_dice: 0.7838, decode.d4.loss_cls: 0.2998, decode.d4.loss_mask: 0.5166, decode.d4.loss_dice: 0.7848, decode.d5.loss_cls: 0.3023, decode.d5.loss_mask: 0.5149, decode.d5.loss_dice: 0.7795, decode.d6.loss_cls: 0.2979, decode.d6.loss_mask: 0.5164, decode.d6.loss_dice: 0.7731, decode.d7.loss_cls: 0.2922, decode.d7.loss_mask: 0.5161, decode.d7.loss_dice: 0.7760, decode.d8.loss_cls: 0.2887, decode.d8.loss_mask: 0.5160, decode.d8.loss_dice: 0.7811, loss: 17.2241, grad_norm: 47.4791 2023-11-12 08:01:26,901 - mmseg - INFO - Saving checkpoint at 66000 iterations 2023-11-12 08:01:30,595 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 08:01:30,596 - mmseg - INFO - Iter [66000/160000] lr: 5.875e-05, eta: 13:12:08, time: 0.558, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2687, decode.loss_mask: 0.5111, decode.loss_dice: 0.7590, decode.d0.loss_cls: 1.2635, decode.d0.loss_mask: 0.5457, decode.d0.loss_dice: 0.8306, decode.d1.loss_cls: 0.3452, decode.d1.loss_mask: 0.5275, decode.d1.loss_dice: 0.8002, decode.d2.loss_cls: 0.3040, decode.d2.loss_mask: 0.5171, decode.d2.loss_dice: 0.7826, decode.d3.loss_cls: 0.2853, decode.d3.loss_mask: 0.5145, decode.d3.loss_dice: 0.7627, decode.d4.loss_cls: 0.2806, decode.d4.loss_mask: 0.5130, decode.d4.loss_dice: 0.7603, decode.d5.loss_cls: 0.2676, decode.d5.loss_mask: 0.5147, decode.d5.loss_dice: 0.7627, decode.d6.loss_cls: 0.2710, decode.d6.loss_mask: 0.5144, decode.d6.loss_dice: 0.7566, decode.d7.loss_cls: 0.2671, decode.d7.loss_mask: 0.5138, decode.d7.loss_dice: 0.7591, decode.d8.loss_cls: 0.2700, decode.d8.loss_mask: 0.5135, decode.d8.loss_dice: 0.7619, loss: 16.7441, grad_norm: 47.7264 2023-11-12 08:01:49,894 - mmseg - INFO - per class results: 2023-11-12 08:01:49,899 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.02 | 87.77 | | building | 82.39 | 91.18 | | sky | 94.67 | 97.27 | | floor | 83.44 | 90.09 | | tree | 75.91 | 85.96 | | ceiling | 82.75 | 87.35 | | road | 85.27 | 91.31 | | bed | 90.87 | 96.71 | | windowpane | 63.2 | 79.18 | | grass | 59.44 | 69.36 | | cabinet | 63.29 | 73.06 | | sidewalk | 68.95 | 81.64 | | person | 84.95 | 92.8 | | earth | 30.85 | 46.95 | | door | 51.2 | 67.16 | | table | 65.95 | 78.51 | | mountain | 55.1 | 73.0 | | plant | 53.6 | 68.01 | | curtain | 74.67 | 89.44 | | chair | 61.82 | 75.46 | | car | 87.3 | 93.8 | | water | 51.91 | 62.98 | | painting | 71.79 | 89.17 | | sofa | 69.61 | 85.89 | | shelf | 43.29 | 62.94 | | house | 40.93 | 59.18 | | sea | 59.24 | 90.5 | | mirror | 71.72 | 82.91 | | rug | 65.44 | 77.42 | | field | 23.71 | 47.38 | | armchair | 46.31 | 63.07 | | seat | 62.41 | 82.53 | | fence | 47.87 | 65.15 | | desk | 47.15 | 79.56 | | rock | 47.03 | 76.79 | | wardrobe | 42.8 | 61.96 | | lamp | 72.19 | 85.02 | | bathtub | 78.52 | 87.0 | | railing | 34.94 | 51.11 | | cushion | 65.18 | 77.83 | | base | 35.34 | 55.26 | | box | 29.1 | 43.4 | | column | 44.01 | 57.18 | | signboard | 37.67 | 59.67 | | chest of drawers | 42.72 | 67.04 | | counter | 29.71 | 35.67 | | sand | 48.0 | 68.85 | | sink | 78.29 | 84.22 | | skyscraper | 33.6 | 41.75 | | fireplace | 69.3 | 94.15 | | refrigerator | 79.9 | 87.0 | | grandstand | 37.46 | 67.2 | | path | 25.5 | 38.76 | | stairs | 24.97 | 37.2 | | runway | 77.75 | 90.32 | | case | 64.69 | 80.67 | | pool table | 94.98 | 97.63 | | pillow | 59.42 | 67.77 | | screen door | 58.63 | 68.73 | | stairway | 34.12 | 52.27 | | river | 20.89 | 26.13 | | bridge | 75.49 | 85.87 | | bookcase | 30.53 | 60.05 | | blind | 37.24 | 43.47 | | coffee table | 68.55 | 85.78 | | toilet | 83.84 | 94.29 | | flower | 43.66 | 70.79 | | book | 50.23 | 74.84 | | hill | 8.76 | 12.81 | | bench | 50.92 | 59.77 | | countertop | 53.12 | 73.52 | | stove | 84.95 | 92.78 | | palm | 55.19 | 73.39 | | kitchen island | 49.88 | 82.24 | | computer | 72.82 | 79.72 | | swivel chair | 44.45 | 71.15 | | boat | 50.38 | 55.72 | | bar | 56.47 | 66.96 | | arcade machine | 69.27 | 85.0 | | hovel | 29.01 | 48.14 | | bus | 93.14 | 96.59 | | towel | 68.28 | 83.39 | | light | 60.99 | 80.55 | | truck | 40.78 | 61.96 | | tower | 31.87 | 64.95 | | chandelier | 74.43 | 88.53 | | awning | 40.62 | 51.05 | | streetlight | 41.4 | 64.98 | | booth | 29.73 | 39.83 | | television receiver | 71.14 | 80.11 | | airplane | 58.25 | 68.57 | | dirt track | 2.86 | 33.85 | | apparel | 24.54 | 38.41 | | pole | 32.54 | 52.68 | | land | 7.51 | 8.87 | | bannister | 20.74 | 29.21 | | escalator | 44.73 | 62.17 | | ottoman | 61.04 | 74.34 | | bottle | 33.93 | 44.82 | | buffet | 46.08 | 53.42 | | poster | 23.24 | 37.33 | | stage | 19.18 | 36.26 | | van | 55.92 | 70.61 | | ship | 52.84 | 75.14 | | fountain | 17.35 | 21.92 | | conveyer belt | 42.09 | 68.39 | | canopy | 15.49 | 27.54 | | washer | 72.17 | 74.42 | | plaything | 45.83 | 70.37 | | swimming pool | 53.36 | 69.78 | | stool | 56.7 | 73.62 | | barrel | 60.47 | 98.53 | | basket | 42.91 | 57.3 | | waterfall | 56.76 | 88.26 | | tent | 95.03 | 98.51 | | bag | 20.47 | 28.97 | | minibike | 72.7 | 90.66 | | cradle | 86.32 | 97.61 | | oven | 23.39 | 68.29 | | ball | 32.28 | 39.36 | | food | 64.56 | 78.34 | | step | 18.73 | 27.1 | | tank | 52.9 | 55.08 | | trade name | 25.28 | 30.53 | | microwave | 40.68 | 45.9 | | pot | 46.12 | 54.81 | | animal | 59.96 | 61.55 | | bicycle | 56.52 | 74.69 | | lake | 38.47 | 63.18 | | dishwasher | 77.93 | 82.76 | | screen | 64.98 | 91.69 | | blanket | 33.18 | 41.16 | | sculpture | 61.15 | 89.76 | | hood | 78.08 | 91.77 | | sconce | 58.37 | 75.58 | | vase | 49.71 | 71.74 | | traffic light | 42.35 | 69.27 | | tray | 16.33 | 22.31 | | ashcan | 53.17 | 68.55 | | fan | 68.91 | 85.49 | | pier | 38.6 | 42.24 | | crt screen | 7.96 | 22.59 | | plate | 61.49 | 77.59 | | monitor | 9.23 | 12.24 | | bulletin board | 45.55 | 70.49 | | shower | 4.53 | 24.72 | | radiator | 75.07 | 90.56 | | glass | 22.28 | 25.14 | | clock | 46.21 | 70.19 | | flag | 45.01 | 54.29 | +---------------------+-------+-------+ 2023-11-12 08:01:49,899 - mmseg - INFO - Summary: 2023-11-12 08:01:49,899 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 83.2 | 51.79 | 66.56 | +------+-------+-------+ 2023-11-12 08:01:49,900 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 08:01:49,900 - mmseg - INFO - Iter(val) [250] aAcc: 0.8320, mIoU: 0.5179, mAcc: 0.6656, IoU.wall: 0.7802, IoU.building: 0.8239, IoU.sky: 0.9467, IoU.floor: 0.8344, IoU.tree: 0.7591, IoU.ceiling: 0.8275, IoU.road: 0.8527, IoU.bed : 0.9087, IoU.windowpane: 0.6320, IoU.grass: 0.5944, IoU.cabinet: 0.6329, IoU.sidewalk: 0.6895, IoU.person: 0.8495, IoU.earth: 0.3085, IoU.door: 0.5120, IoU.table: 0.6595, IoU.mountain: 0.5510, IoU.plant: 0.5360, IoU.curtain: 0.7467, IoU.chair: 0.6182, IoU.car: 0.8730, IoU.water: 0.5191, IoU.painting: 0.7179, IoU.sofa: 0.6961, IoU.shelf: 0.4329, IoU.house: 0.4093, IoU.sea: 0.5924, IoU.mirror: 0.7172, IoU.rug: 0.6544, IoU.field: 0.2371, IoU.armchair: 0.4631, IoU.seat: 0.6241, IoU.fence: 0.4787, IoU.desk: 0.4715, IoU.rock: 0.4703, IoU.wardrobe: 0.4280, IoU.lamp: 0.7219, IoU.bathtub: 0.7852, IoU.railing: 0.3494, IoU.cushion: 0.6518, IoU.base: 0.3534, IoU.box: 0.2910, IoU.column: 0.4401, IoU.signboard: 0.3767, IoU.chest of drawers: 0.4272, IoU.counter: 0.2971, IoU.sand: 0.4800, IoU.sink: 0.7829, IoU.skyscraper: 0.3360, IoU.fireplace: 0.6930, IoU.refrigerator: 0.7990, IoU.grandstand: 0.3746, IoU.path: 0.2550, IoU.stairs: 0.2497, IoU.runway: 0.7775, IoU.case: 0.6469, IoU.pool table: 0.9498, IoU.pillow: 0.5942, IoU.screen door: 0.5863, IoU.stairway: 0.3412, IoU.river: 0.2089, IoU.bridge: 0.7549, IoU.bookcase: 0.3053, IoU.blind: 0.3724, IoU.coffee table: 0.6855, IoU.toilet: 0.8384, IoU.flower: 0.4366, IoU.book: 0.5023, IoU.hill: 0.0876, IoU.bench: 0.5092, IoU.countertop: 0.5312, IoU.stove: 0.8495, IoU.palm: 0.5519, IoU.kitchen island: 0.4988, IoU.computer: 0.7282, IoU.swivel chair: 0.4445, IoU.boat: 0.5038, IoU.bar: 0.5647, IoU.arcade machine: 0.6927, IoU.hovel: 0.2901, IoU.bus: 0.9314, IoU.towel: 0.6828, IoU.light: 0.6099, IoU.truck: 0.4078, IoU.tower: 0.3187, IoU.chandelier: 0.7443, IoU.awning: 0.4062, IoU.streetlight: 0.4140, IoU.booth: 0.2973, IoU.television receiver: 0.7114, IoU.airplane: 0.5825, IoU.dirt track: 0.0286, IoU.apparel: 0.2454, IoU.pole: 0.3254, IoU.land: 0.0751, IoU.bannister: 0.2074, IoU.escalator: 0.4473, IoU.ottoman: 0.6104, IoU.bottle: 0.3393, IoU.buffet: 0.4608, IoU.poster: 0.2324, IoU.stage: 0.1918, IoU.van: 0.5592, IoU.ship: 0.5284, IoU.fountain: 0.1735, IoU.conveyer belt: 0.4209, IoU.canopy: 0.1549, IoU.washer: 0.7217, IoU.plaything: 0.4583, IoU.swimming pool: 0.5336, IoU.stool: 0.5670, IoU.barrel: 0.6047, IoU.basket: 0.4291, IoU.waterfall: 0.5676, IoU.tent: 0.9503, IoU.bag: 0.2047, IoU.minibike: 0.7270, IoU.cradle: 0.8632, IoU.oven: 0.2339, IoU.ball: 0.3228, IoU.food: 0.6456, IoU.step: 0.1873, IoU.tank: 0.5290, IoU.trade name: 0.2528, IoU.microwave: 0.4068, IoU.pot: 0.4612, IoU.animal: 0.5996, IoU.bicycle: 0.5652, IoU.lake: 0.3847, IoU.dishwasher: 0.7793, IoU.screen: 0.6498, IoU.blanket: 0.3318, IoU.sculpture: 0.6115, IoU.hood: 0.7808, IoU.sconce: 0.5837, IoU.vase: 0.4971, IoU.traffic light: 0.4235, IoU.tray: 0.1633, IoU.ashcan: 0.5317, IoU.fan: 0.6891, IoU.pier: 0.3860, IoU.crt screen: 0.0796, IoU.plate: 0.6149, IoU.monitor: 0.0923, IoU.bulletin board: 0.4555, IoU.shower: 0.0453, IoU.radiator: 0.7507, IoU.glass: 0.2228, IoU.clock: 0.4621, IoU.flag: 0.4501, Acc.wall: 0.8777, Acc.building: 0.9118, Acc.sky: 0.9727, Acc.floor: 0.9009, Acc.tree: 0.8596, Acc.ceiling: 0.8735, Acc.road: 0.9131, Acc.bed : 0.9671, Acc.windowpane: 0.7918, Acc.grass: 0.6936, Acc.cabinet: 0.7306, Acc.sidewalk: 0.8164, Acc.person: 0.9280, Acc.earth: 0.4695, Acc.door: 0.6716, Acc.table: 0.7851, Acc.mountain: 0.7300, Acc.plant: 0.6801, Acc.curtain: 0.8944, Acc.chair: 0.7546, Acc.car: 0.9380, Acc.water: 0.6298, Acc.painting: 0.8917, Acc.sofa: 0.8589, Acc.shelf: 0.6294, Acc.house: 0.5918, Acc.sea: 0.9050, Acc.mirror: 0.8291, Acc.rug: 0.7742, Acc.field: 0.4738, Acc.armchair: 0.6307, Acc.seat: 0.8253, Acc.fence: 0.6515, Acc.desk: 0.7956, Acc.rock: 0.7679, Acc.wardrobe: 0.6196, Acc.lamp: 0.8502, Acc.bathtub: 0.8700, Acc.railing: 0.5111, Acc.cushion: 0.7783, Acc.base: 0.5526, Acc.box: 0.4340, Acc.column: 0.5718, Acc.signboard: 0.5967, Acc.chest of drawers: 0.6704, Acc.counter: 0.3567, Acc.sand: 0.6885, Acc.sink: 0.8422, Acc.skyscraper: 0.4175, Acc.fireplace: 0.9415, Acc.refrigerator: 0.8700, Acc.grandstand: 0.6720, Acc.path: 0.3876, Acc.stairs: 0.3720, Acc.runway: 0.9032, Acc.case: 0.8067, Acc.pool table: 0.9763, Acc.pillow: 0.6777, Acc.screen door: 0.6873, Acc.stairway: 0.5227, Acc.river: 0.2613, Acc.bridge: 0.8587, Acc.bookcase: 0.6005, Acc.blind: 0.4347, Acc.coffee table: 0.8578, Acc.toilet: 0.9429, Acc.flower: 0.7079, Acc.book: 0.7484, Acc.hill: 0.1281, Acc.bench: 0.5977, Acc.countertop: 0.7352, Acc.stove: 0.9278, Acc.palm: 0.7339, Acc.kitchen island: 0.8224, Acc.computer: 0.7972, Acc.swivel chair: 0.7115, Acc.boat: 0.5572, Acc.bar: 0.6696, Acc.arcade machine: 0.8500, Acc.hovel: 0.4814, Acc.bus: 0.9659, Acc.towel: 0.8339, Acc.light: 0.8055, Acc.truck: 0.6196, Acc.tower: 0.6495, Acc.chandelier: 0.8853, Acc.awning: 0.5105, Acc.streetlight: 0.6498, Acc.booth: 0.3983, Acc.television receiver: 0.8011, Acc.airplane: 0.6857, Acc.dirt track: 0.3385, Acc.apparel: 0.3841, Acc.pole: 0.5268, Acc.land: 0.0887, Acc.bannister: 0.2921, Acc.escalator: 0.6217, Acc.ottoman: 0.7434, Acc.bottle: 0.4482, Acc.buffet: 0.5342, Acc.poster: 0.3733, Acc.stage: 0.3626, Acc.van: 0.7061, Acc.ship: 0.7514, Acc.fountain: 0.2192, Acc.conveyer belt: 0.6839, Acc.canopy: 0.2754, Acc.washer: 0.7442, Acc.plaything: 0.7037, Acc.swimming pool: 0.6978, Acc.stool: 0.7362, Acc.barrel: 0.9853, Acc.basket: 0.5730, Acc.waterfall: 0.8826, Acc.tent: 0.9851, Acc.bag: 0.2897, Acc.minibike: 0.9066, Acc.cradle: 0.9761, Acc.oven: 0.6829, Acc.ball: 0.3936, Acc.food: 0.7834, Acc.step: 0.2710, Acc.tank: 0.5508, Acc.trade name: 0.3053, Acc.microwave: 0.4590, Acc.pot: 0.5481, Acc.animal: 0.6155, Acc.bicycle: 0.7469, Acc.lake: 0.6318, Acc.dishwasher: 0.8276, Acc.screen: 0.9169, Acc.blanket: 0.4116, Acc.sculpture: 0.8976, Acc.hood: 0.9177, Acc.sconce: 0.7558, Acc.vase: 0.7174, Acc.traffic light: 0.6927, Acc.tray: 0.2231, Acc.ashcan: 0.6855, Acc.fan: 0.8549, Acc.pier: 0.4224, Acc.crt screen: 0.2259, Acc.plate: 0.7759, Acc.monitor: 0.1224, Acc.bulletin board: 0.7049, Acc.shower: 0.2472, Acc.radiator: 0.9056, Acc.glass: 0.2514, Acc.clock: 0.7019, Acc.flag: 0.5429 2023-11-12 08:02:14,034 - mmseg - INFO - Iter [66050/160000] lr: 5.872e-05, eta: 13:12:09, time: 0.869, data_time: 0.400, memory: 41146, decode.loss_cls: 0.2751, decode.loss_mask: 0.4914, decode.loss_dice: 0.7733, decode.d0.loss_cls: 1.3020, decode.d0.loss_mask: 0.5296, decode.d0.loss_dice: 0.8467, decode.d1.loss_cls: 0.3562, decode.d1.loss_mask: 0.5075, decode.d1.loss_dice: 0.8099, decode.d2.loss_cls: 0.3074, decode.d2.loss_mask: 0.4984, decode.d2.loss_dice: 0.7921, decode.d3.loss_cls: 0.2915, decode.d3.loss_mask: 0.4962, decode.d3.loss_dice: 0.7770, decode.d4.loss_cls: 0.2879, decode.d4.loss_mask: 0.4936, decode.d4.loss_dice: 0.7811, decode.d5.loss_cls: 0.2817, decode.d5.loss_mask: 0.4926, decode.d5.loss_dice: 0.7799, decode.d6.loss_cls: 0.2823, decode.d6.loss_mask: 0.4889, decode.d6.loss_dice: 0.7731, decode.d7.loss_cls: 0.2722, decode.d7.loss_mask: 0.4924, decode.d7.loss_dice: 0.7762, decode.d8.loss_cls: 0.2788, decode.d8.loss_mask: 0.4886, decode.d8.loss_dice: 0.7729, loss: 16.7965, grad_norm: 43.9210 2023-11-12 08:02:38,001 - mmseg - INFO - Iter [66100/160000] lr: 5.869e-05, eta: 13:11:42, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2851, decode.loss_mask: 0.5106, decode.loss_dice: 0.7531, decode.d0.loss_cls: 1.2782, decode.d0.loss_mask: 0.5444, decode.d0.loss_dice: 0.8225, decode.d1.loss_cls: 0.3485, decode.d1.loss_mask: 0.5273, decode.d1.loss_dice: 0.7906, decode.d2.loss_cls: 0.3103, decode.d2.loss_mask: 0.5139, decode.d2.loss_dice: 0.7674, decode.d3.loss_cls: 0.2938, decode.d3.loss_mask: 0.5127, decode.d3.loss_dice: 0.7527, decode.d4.loss_cls: 0.2911, decode.d4.loss_mask: 0.5092, decode.d4.loss_dice: 0.7527, decode.d5.loss_cls: 0.2920, decode.d5.loss_mask: 0.5110, decode.d5.loss_dice: 0.7532, decode.d6.loss_cls: 0.2830, decode.d6.loss_mask: 0.5082, decode.d6.loss_dice: 0.7477, decode.d7.loss_cls: 0.2812, decode.d7.loss_mask: 0.5106, decode.d7.loss_dice: 0.7510, decode.d8.loss_cls: 0.2834, decode.d8.loss_mask: 0.5091, decode.d8.loss_dice: 0.7526, loss: 16.7469, grad_norm: 49.4695 2023-11-12 08:03:01,994 - mmseg - INFO - Iter [66150/160000] lr: 5.866e-05, eta: 13:11:15, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2842, decode.loss_mask: 0.5002, decode.loss_dice: 0.7543, decode.d0.loss_cls: 1.2647, decode.d0.loss_mask: 0.5347, decode.d0.loss_dice: 0.8265, decode.d1.loss_cls: 0.3598, decode.d1.loss_mask: 0.5137, decode.d1.loss_dice: 0.7961, decode.d2.loss_cls: 0.3160, decode.d2.loss_mask: 0.5080, decode.d2.loss_dice: 0.7746, decode.d3.loss_cls: 0.3034, decode.d3.loss_mask: 0.5025, decode.d3.loss_dice: 0.7628, decode.d4.loss_cls: 0.3003, decode.d4.loss_mask: 0.4994, decode.d4.loss_dice: 0.7621, decode.d5.loss_cls: 0.2963, decode.d5.loss_mask: 0.5022, decode.d5.loss_dice: 0.7642, decode.d6.loss_cls: 0.2951, decode.d6.loss_mask: 0.5001, decode.d6.loss_dice: 0.7505, decode.d7.loss_cls: 0.2856, decode.d7.loss_mask: 0.5009, decode.d7.loss_dice: 0.7556, decode.d8.loss_cls: 0.2873, decode.d8.loss_mask: 0.5005, decode.d8.loss_dice: 0.7588, loss: 16.7605, grad_norm: 44.7180 2023-11-12 08:03:26,025 - mmseg - INFO - Iter [66200/160000] lr: 5.863e-05, eta: 13:10:48, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2621, decode.loss_mask: 0.4904, decode.loss_dice: 0.7382, decode.d0.loss_cls: 1.2456, decode.d0.loss_mask: 0.5242, decode.d0.loss_dice: 0.8250, decode.d1.loss_cls: 0.3370, decode.d1.loss_mask: 0.5112, decode.d1.loss_dice: 0.7886, decode.d2.loss_cls: 0.2900, decode.d2.loss_mask: 0.5010, decode.d2.loss_dice: 0.7714, decode.d3.loss_cls: 0.2788, decode.d3.loss_mask: 0.4946, decode.d3.loss_dice: 0.7467, decode.d4.loss_cls: 0.2741, decode.d4.loss_mask: 0.4928, decode.d4.loss_dice: 0.7439, decode.d5.loss_cls: 0.2680, decode.d5.loss_mask: 0.4908, decode.d5.loss_dice: 0.7405, decode.d6.loss_cls: 0.2669, decode.d6.loss_mask: 0.4894, decode.d6.loss_dice: 0.7428, decode.d7.loss_cls: 0.2667, decode.d7.loss_mask: 0.4901, decode.d7.loss_dice: 0.7401, decode.d8.loss_cls: 0.2708, decode.d8.loss_mask: 0.4906, decode.d8.loss_dice: 0.7386, loss: 16.3108, grad_norm: 50.8062 2023-11-12 08:03:50,126 - mmseg - INFO - Iter [66250/160000] lr: 5.859e-05, eta: 13:10:21, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.3008, decode.loss_mask: 0.5132, decode.loss_dice: 0.7742, decode.d0.loss_cls: 1.3134, decode.d0.loss_mask: 0.5487, decode.d0.loss_dice: 0.8506, decode.d1.loss_cls: 0.3707, decode.d1.loss_mask: 0.5353, decode.d1.loss_dice: 0.8216, decode.d2.loss_cls: 0.3268, decode.d2.loss_mask: 0.5236, decode.d2.loss_dice: 0.8057, decode.d3.loss_cls: 0.3144, decode.d3.loss_mask: 0.5168, decode.d3.loss_dice: 0.7844, decode.d4.loss_cls: 0.3073, decode.d4.loss_mask: 0.5185, decode.d4.loss_dice: 0.7860, decode.d5.loss_cls: 0.3022, decode.d5.loss_mask: 0.5187, decode.d5.loss_dice: 0.7843, decode.d6.loss_cls: 0.3005, decode.d6.loss_mask: 0.5169, decode.d6.loss_dice: 0.7761, decode.d7.loss_cls: 0.3002, decode.d7.loss_mask: 0.5178, decode.d7.loss_dice: 0.7798, decode.d8.loss_cls: 0.2992, decode.d8.loss_mask: 0.5172, decode.d8.loss_dice: 0.7790, loss: 17.3039, grad_norm: 49.4524 2023-11-12 08:04:13,944 - mmseg - INFO - Iter [66300/160000] lr: 5.856e-05, eta: 13:09:53, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2658, decode.loss_mask: 0.4967, decode.loss_dice: 0.7507, decode.d0.loss_cls: 1.2495, decode.d0.loss_mask: 0.5339, decode.d0.loss_dice: 0.8385, decode.d1.loss_cls: 0.3301, decode.d1.loss_mask: 0.5150, decode.d1.loss_dice: 0.8004, decode.d2.loss_cls: 0.2996, decode.d2.loss_mask: 0.5043, decode.d2.loss_dice: 0.7784, decode.d3.loss_cls: 0.2862, decode.d3.loss_mask: 0.4969, decode.d3.loss_dice: 0.7600, decode.d4.loss_cls: 0.2782, decode.d4.loss_mask: 0.4982, decode.d4.loss_dice: 0.7613, decode.d5.loss_cls: 0.2711, decode.d5.loss_mask: 0.4992, decode.d5.loss_dice: 0.7561, decode.d6.loss_cls: 0.2731, decode.d6.loss_mask: 0.4959, decode.d6.loss_dice: 0.7509, decode.d7.loss_cls: 0.2702, decode.d7.loss_mask: 0.4955, decode.d7.loss_dice: 0.7524, decode.d8.loss_cls: 0.2708, decode.d8.loss_mask: 0.4965, decode.d8.loss_dice: 0.7542, loss: 16.5294, grad_norm: 44.2565 2023-11-12 08:04:37,930 - mmseg - INFO - Iter [66350/160000] lr: 5.853e-05, eta: 13:09:26, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2639, decode.loss_mask: 0.5278, decode.loss_dice: 0.7567, decode.d0.loss_cls: 1.2444, decode.d0.loss_mask: 0.5594, decode.d0.loss_dice: 0.8246, decode.d1.loss_cls: 0.3398, decode.d1.loss_mask: 0.5442, decode.d1.loss_dice: 0.8010, decode.d2.loss_cls: 0.2982, decode.d2.loss_mask: 0.5367, decode.d2.loss_dice: 0.7803, decode.d3.loss_cls: 0.2826, decode.d3.loss_mask: 0.5311, decode.d3.loss_dice: 0.7620, decode.d4.loss_cls: 0.2804, decode.d4.loss_mask: 0.5293, decode.d4.loss_dice: 0.7577, decode.d5.loss_cls: 0.2784, decode.d5.loss_mask: 0.5296, decode.d5.loss_dice: 0.7586, decode.d6.loss_cls: 0.2725, decode.d6.loss_mask: 0.5278, decode.d6.loss_dice: 0.7529, decode.d7.loss_cls: 0.2724, decode.d7.loss_mask: 0.5289, decode.d7.loss_dice: 0.7609, decode.d8.loss_cls: 0.2690, decode.d8.loss_mask: 0.5303, decode.d8.loss_dice: 0.7594, loss: 16.8609, grad_norm: 55.2234 2023-11-12 08:05:01,949 - mmseg - INFO - Iter [66400/160000] lr: 5.850e-05, eta: 13:08:59, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2638, decode.loss_mask: 0.5146, decode.loss_dice: 0.7524, decode.d0.loss_cls: 1.2588, decode.d0.loss_mask: 0.5522, decode.d0.loss_dice: 0.8288, decode.d1.loss_cls: 0.3372, decode.d1.loss_mask: 0.5303, decode.d1.loss_dice: 0.7996, decode.d2.loss_cls: 0.2968, decode.d2.loss_mask: 0.5247, decode.d2.loss_dice: 0.7749, decode.d3.loss_cls: 0.2884, decode.d3.loss_mask: 0.5196, decode.d3.loss_dice: 0.7554, decode.d4.loss_cls: 0.2786, decode.d4.loss_mask: 0.5179, decode.d4.loss_dice: 0.7591, decode.d5.loss_cls: 0.2729, decode.d5.loss_mask: 0.5159, decode.d5.loss_dice: 0.7580, decode.d6.loss_cls: 0.2750, decode.d6.loss_mask: 0.5155, decode.d6.loss_dice: 0.7536, decode.d7.loss_cls: 0.2713, decode.d7.loss_mask: 0.5146, decode.d7.loss_dice: 0.7527, decode.d8.loss_cls: 0.2684, decode.d8.loss_mask: 0.5153, decode.d8.loss_dice: 0.7526, loss: 16.7187, grad_norm: 47.1905 2023-11-12 08:05:26,378 - mmseg - INFO - Iter [66450/160000] lr: 5.847e-05, eta: 13:08:33, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2723, decode.loss_mask: 0.5332, decode.loss_dice: 0.7733, decode.d0.loss_cls: 1.2677, decode.d0.loss_mask: 0.5700, decode.d0.loss_dice: 0.8467, decode.d1.loss_cls: 0.3537, decode.d1.loss_mask: 0.5512, decode.d1.loss_dice: 0.8159, decode.d2.loss_cls: 0.3112, decode.d2.loss_mask: 0.5367, decode.d2.loss_dice: 0.7946, decode.d3.loss_cls: 0.2897, decode.d3.loss_mask: 0.5367, decode.d3.loss_dice: 0.7797, decode.d4.loss_cls: 0.2798, decode.d4.loss_mask: 0.5338, decode.d4.loss_dice: 0.7820, decode.d5.loss_cls: 0.2805, decode.d5.loss_mask: 0.5354, decode.d5.loss_dice: 0.7794, decode.d6.loss_cls: 0.2784, decode.d6.loss_mask: 0.5354, decode.d6.loss_dice: 0.7711, decode.d7.loss_cls: 0.2777, decode.d7.loss_mask: 0.5351, decode.d7.loss_dice: 0.7763, decode.d8.loss_cls: 0.2696, decode.d8.loss_mask: 0.5349, decode.d8.loss_dice: 0.7784, loss: 17.1805, grad_norm: 47.6051 2023-11-12 08:05:50,346 - mmseg - INFO - Iter [66500/160000] lr: 5.844e-05, eta: 13:08:05, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2848, decode.loss_mask: 0.5077, decode.loss_dice: 0.7914, decode.d0.loss_cls: 1.3133, decode.d0.loss_mask: 0.5444, decode.d0.loss_dice: 0.8669, decode.d1.loss_cls: 0.3765, decode.d1.loss_mask: 0.5308, decode.d1.loss_dice: 0.8304, decode.d2.loss_cls: 0.3291, decode.d2.loss_mask: 0.5211, decode.d2.loss_dice: 0.8107, decode.d3.loss_cls: 0.3165, decode.d3.loss_mask: 0.5133, decode.d3.loss_dice: 0.7943, decode.d4.loss_cls: 0.3033, decode.d4.loss_mask: 0.5114, decode.d4.loss_dice: 0.7957, decode.d5.loss_cls: 0.2939, decode.d5.loss_mask: 0.5110, decode.d5.loss_dice: 0.7940, decode.d6.loss_cls: 0.2888, decode.d6.loss_mask: 0.5089, decode.d6.loss_dice: 0.7904, decode.d7.loss_cls: 0.2840, decode.d7.loss_mask: 0.5099, decode.d7.loss_dice: 0.7954, decode.d8.loss_cls: 0.2857, decode.d8.loss_mask: 0.5088, decode.d8.loss_dice: 0.7918, loss: 17.3041, grad_norm: 47.3452 2023-11-12 08:06:14,838 - mmseg - INFO - Iter [66550/160000] lr: 5.841e-05, eta: 13:07:39, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2880, decode.loss_mask: 0.5032, decode.loss_dice: 0.7651, decode.d0.loss_cls: 1.2664, decode.d0.loss_mask: 0.5347, decode.d0.loss_dice: 0.8383, decode.d1.loss_cls: 0.3575, decode.d1.loss_mask: 0.5176, decode.d1.loss_dice: 0.8098, decode.d2.loss_cls: 0.3163, decode.d2.loss_mask: 0.5078, decode.d2.loss_dice: 0.7836, decode.d3.loss_cls: 0.2997, decode.d3.loss_mask: 0.5022, decode.d3.loss_dice: 0.7742, decode.d4.loss_cls: 0.2912, decode.d4.loss_mask: 0.5051, decode.d4.loss_dice: 0.7671, decode.d5.loss_cls: 0.2883, decode.d5.loss_mask: 0.5048, decode.d5.loss_dice: 0.7669, decode.d6.loss_cls: 0.2873, decode.d6.loss_mask: 0.5036, decode.d6.loss_dice: 0.7653, decode.d7.loss_cls: 0.2886, decode.d7.loss_mask: 0.5032, decode.d7.loss_dice: 0.7641, decode.d8.loss_cls: 0.2844, decode.d8.loss_mask: 0.5033, decode.d8.loss_dice: 0.7666, loss: 16.8540, grad_norm: 48.5600 2023-11-12 08:06:38,768 - mmseg - INFO - Iter [66600/160000] lr: 5.838e-05, eta: 13:07:12, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2520, decode.loss_mask: 0.5288, decode.loss_dice: 0.7690, decode.d0.loss_cls: 1.2400, decode.d0.loss_mask: 0.5622, decode.d0.loss_dice: 0.8315, decode.d1.loss_cls: 0.3373, decode.d1.loss_mask: 0.5385, decode.d1.loss_dice: 0.8076, decode.d2.loss_cls: 0.2959, decode.d2.loss_mask: 0.5336, decode.d2.loss_dice: 0.7889, decode.d3.loss_cls: 0.2776, decode.d3.loss_mask: 0.5294, decode.d3.loss_dice: 0.7796, decode.d4.loss_cls: 0.2695, decode.d4.loss_mask: 0.5296, decode.d4.loss_dice: 0.7741, decode.d5.loss_cls: 0.2649, decode.d5.loss_mask: 0.5288, decode.d5.loss_dice: 0.7702, decode.d6.loss_cls: 0.2609, decode.d6.loss_mask: 0.5277, decode.d6.loss_dice: 0.7669, decode.d7.loss_cls: 0.2598, decode.d7.loss_mask: 0.5269, decode.d7.loss_dice: 0.7658, decode.d8.loss_cls: 0.2555, decode.d8.loss_mask: 0.5301, decode.d8.loss_dice: 0.7740, loss: 16.8767, grad_norm: 46.4780 2023-11-12 08:07:02,721 - mmseg - INFO - Iter [66650/160000] lr: 5.834e-05, eta: 13:06:45, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2827, decode.loss_mask: 0.5299, decode.loss_dice: 0.7762, decode.d0.loss_cls: 1.2787, decode.d0.loss_mask: 0.5684, decode.d0.loss_dice: 0.8473, decode.d1.loss_cls: 0.3651, decode.d1.loss_mask: 0.5488, decode.d1.loss_dice: 0.8136, decode.d2.loss_cls: 0.3261, decode.d2.loss_mask: 0.5353, decode.d2.loss_dice: 0.7925, decode.d3.loss_cls: 0.3100, decode.d3.loss_mask: 0.5350, decode.d3.loss_dice: 0.7793, decode.d4.loss_cls: 0.3049, decode.d4.loss_mask: 0.5333, decode.d4.loss_dice: 0.7742, decode.d5.loss_cls: 0.2901, decode.d5.loss_mask: 0.5323, decode.d5.loss_dice: 0.7756, decode.d6.loss_cls: 0.2916, decode.d6.loss_mask: 0.5335, decode.d6.loss_dice: 0.7699, decode.d7.loss_cls: 0.2851, decode.d7.loss_mask: 0.5322, decode.d7.loss_dice: 0.7733, decode.d8.loss_cls: 0.2869, decode.d8.loss_mask: 0.5327, decode.d8.loss_dice: 0.7786, loss: 17.2830, grad_norm: 51.7091 2023-11-12 08:07:26,758 - mmseg - INFO - Iter [66700/160000] lr: 5.831e-05, eta: 13:06:18, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2763, decode.loss_mask: 0.5093, decode.loss_dice: 0.7808, decode.d0.loss_cls: 1.2834, decode.d0.loss_mask: 0.5436, decode.d0.loss_dice: 0.8608, decode.d1.loss_cls: 0.3595, decode.d1.loss_mask: 0.5270, decode.d1.loss_dice: 0.8243, decode.d2.loss_cls: 0.3088, decode.d2.loss_mask: 0.5205, decode.d2.loss_dice: 0.8010, decode.d3.loss_cls: 0.2940, decode.d3.loss_mask: 0.5121, decode.d3.loss_dice: 0.7893, decode.d4.loss_cls: 0.2923, decode.d4.loss_mask: 0.5098, decode.d4.loss_dice: 0.7892, decode.d5.loss_cls: 0.2889, decode.d5.loss_mask: 0.5093, decode.d5.loss_dice: 0.7818, decode.d6.loss_cls: 0.2856, decode.d6.loss_mask: 0.5084, decode.d6.loss_dice: 0.7786, decode.d7.loss_cls: 0.2828, decode.d7.loss_mask: 0.5080, decode.d7.loss_dice: 0.7804, decode.d8.loss_cls: 0.2836, decode.d8.loss_mask: 0.5082, decode.d8.loss_dice: 0.7794, loss: 17.0770, grad_norm: 44.7569 2023-11-12 08:07:50,643 - mmseg - INFO - Iter [66750/160000] lr: 5.828e-05, eta: 13:05:50, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2906, decode.loss_mask: 0.5220, decode.loss_dice: 0.7910, decode.d0.loss_cls: 1.2734, decode.d0.loss_mask: 0.5574, decode.d0.loss_dice: 0.8611, decode.d1.loss_cls: 0.3768, decode.d1.loss_mask: 0.5417, decode.d1.loss_dice: 0.8362, decode.d2.loss_cls: 0.3315, decode.d2.loss_mask: 0.5310, decode.d2.loss_dice: 0.8129, decode.d3.loss_cls: 0.3160, decode.d3.loss_mask: 0.5236, decode.d3.loss_dice: 0.7962, decode.d4.loss_cls: 0.3037, decode.d4.loss_mask: 0.5209, decode.d4.loss_dice: 0.7941, decode.d5.loss_cls: 0.3024, decode.d5.loss_mask: 0.5218, decode.d5.loss_dice: 0.7981, decode.d6.loss_cls: 0.3000, decode.d6.loss_mask: 0.5212, decode.d6.loss_dice: 0.7945, decode.d7.loss_cls: 0.2907, decode.d7.loss_mask: 0.5231, decode.d7.loss_dice: 0.7967, decode.d8.loss_cls: 0.2914, decode.d8.loss_mask: 0.5226, decode.d8.loss_dice: 0.7994, loss: 17.4420, grad_norm: 49.8644 2023-11-12 08:08:14,853 - mmseg - INFO - Iter [66800/160000] lr: 5.825e-05, eta: 13:05:24, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2700, decode.loss_mask: 0.4904, decode.loss_dice: 0.7424, decode.d0.loss_cls: 1.2960, decode.d0.loss_mask: 0.5214, decode.d0.loss_dice: 0.8133, decode.d1.loss_cls: 0.3492, decode.d1.loss_mask: 0.5050, decode.d1.loss_dice: 0.7831, decode.d2.loss_cls: 0.3083, decode.d2.loss_mask: 0.4958, decode.d2.loss_dice: 0.7668, decode.d3.loss_cls: 0.2989, decode.d3.loss_mask: 0.4893, decode.d3.loss_dice: 0.7498, decode.d4.loss_cls: 0.2826, decode.d4.loss_mask: 0.4918, decode.d4.loss_dice: 0.7504, decode.d5.loss_cls: 0.2756, decode.d5.loss_mask: 0.4901, decode.d5.loss_dice: 0.7477, decode.d6.loss_cls: 0.2759, decode.d6.loss_mask: 0.4900, decode.d6.loss_dice: 0.7417, decode.d7.loss_cls: 0.2723, decode.d7.loss_mask: 0.4909, decode.d7.loss_dice: 0.7434, decode.d8.loss_cls: 0.2713, decode.d8.loss_mask: 0.4908, decode.d8.loss_dice: 0.7430, loss: 16.4372, grad_norm: 46.4860 2023-11-12 08:08:39,053 - mmseg - INFO - Iter [66850/160000] lr: 5.822e-05, eta: 13:04:57, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2919, decode.loss_mask: 0.5107, decode.loss_dice: 0.7607, decode.d0.loss_cls: 1.2607, decode.d0.loss_mask: 0.5476, decode.d0.loss_dice: 0.8295, decode.d1.loss_cls: 0.3687, decode.d1.loss_mask: 0.5323, decode.d1.loss_dice: 0.8043, decode.d2.loss_cls: 0.3270, decode.d2.loss_mask: 0.5177, decode.d2.loss_dice: 0.7802, decode.d3.loss_cls: 0.3051, decode.d3.loss_mask: 0.5115, decode.d3.loss_dice: 0.7697, decode.d4.loss_cls: 0.2973, decode.d4.loss_mask: 0.5130, decode.d4.loss_dice: 0.7698, decode.d5.loss_cls: 0.2936, decode.d5.loss_mask: 0.5131, decode.d5.loss_dice: 0.7653, decode.d6.loss_cls: 0.2904, decode.d6.loss_mask: 0.5110, decode.d6.loss_dice: 0.7639, decode.d7.loss_cls: 0.2884, decode.d7.loss_mask: 0.5111, decode.d7.loss_dice: 0.7601, decode.d8.loss_cls: 0.2945, decode.d8.loss_mask: 0.5109, decode.d8.loss_dice: 0.7611, loss: 16.9611, grad_norm: 46.5375 2023-11-12 08:09:02,925 - mmseg - INFO - Iter [66900/160000] lr: 5.819e-05, eta: 13:04:30, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2584, decode.loss_mask: 0.5403, decode.loss_dice: 0.7665, decode.d0.loss_cls: 1.2150, decode.d0.loss_mask: 0.5748, decode.d0.loss_dice: 0.8310, decode.d1.loss_cls: 0.3376, decode.d1.loss_mask: 0.5542, decode.d1.loss_dice: 0.8101, decode.d2.loss_cls: 0.2875, decode.d2.loss_mask: 0.5451, decode.d2.loss_dice: 0.7883, decode.d3.loss_cls: 0.2795, decode.d3.loss_mask: 0.5429, decode.d3.loss_dice: 0.7770, decode.d4.loss_cls: 0.2660, decode.d4.loss_mask: 0.5417, decode.d4.loss_dice: 0.7765, decode.d5.loss_cls: 0.2647, decode.d5.loss_mask: 0.5412, decode.d5.loss_dice: 0.7739, decode.d6.loss_cls: 0.2629, decode.d6.loss_mask: 0.5405, decode.d6.loss_dice: 0.7688, decode.d7.loss_cls: 0.2547, decode.d7.loss_mask: 0.5406, decode.d7.loss_dice: 0.7708, decode.d8.loss_cls: 0.2568, decode.d8.loss_mask: 0.5420, decode.d8.loss_dice: 0.7695, loss: 16.9788, grad_norm: 51.2061 2023-11-12 08:09:29,109 - mmseg - INFO - Iter [66950/160000] lr: 5.816e-05, eta: 13:04:06, time: 0.524, data_time: 0.058, memory: 41146, decode.loss_cls: 0.2874, decode.loss_mask: 0.5088, decode.loss_dice: 0.7699, decode.d0.loss_cls: 1.2891, decode.d0.loss_mask: 0.5453, decode.d0.loss_dice: 0.8321, decode.d1.loss_cls: 0.3585, decode.d1.loss_mask: 0.5282, decode.d1.loss_dice: 0.8071, decode.d2.loss_cls: 0.3232, decode.d2.loss_mask: 0.5124, decode.d2.loss_dice: 0.7794, decode.d3.loss_cls: 0.3123, decode.d3.loss_mask: 0.5090, decode.d3.loss_dice: 0.7667, decode.d4.loss_cls: 0.3009, decode.d4.loss_mask: 0.5095, decode.d4.loss_dice: 0.7676, decode.d5.loss_cls: 0.2980, decode.d5.loss_mask: 0.5084, decode.d5.loss_dice: 0.7690, decode.d6.loss_cls: 0.2954, decode.d6.loss_mask: 0.5095, decode.d6.loss_dice: 0.7610, decode.d7.loss_cls: 0.2939, decode.d7.loss_mask: 0.5100, decode.d7.loss_dice: 0.7628, decode.d8.loss_cls: 0.2888, decode.d8.loss_mask: 0.5089, decode.d8.loss_dice: 0.7655, loss: 16.9786, grad_norm: 47.4454 2023-11-12 08:09:53,153 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 08:09:53,153 - mmseg - INFO - Iter [67000/160000] lr: 5.813e-05, eta: 13:03:39, time: 0.481, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2720, decode.loss_mask: 0.5085, decode.loss_dice: 0.7645, decode.d0.loss_cls: 1.2837, decode.d0.loss_mask: 0.5479, decode.d0.loss_dice: 0.8375, decode.d1.loss_cls: 0.3445, decode.d1.loss_mask: 0.5273, decode.d1.loss_dice: 0.8084, decode.d2.loss_cls: 0.3093, decode.d2.loss_mask: 0.5170, decode.d2.loss_dice: 0.7837, decode.d3.loss_cls: 0.2900, decode.d3.loss_mask: 0.5156, decode.d3.loss_dice: 0.7721, decode.d4.loss_cls: 0.2864, decode.d4.loss_mask: 0.5127, decode.d4.loss_dice: 0.7716, decode.d5.loss_cls: 0.2817, decode.d5.loss_mask: 0.5119, decode.d5.loss_dice: 0.7688, decode.d6.loss_cls: 0.2788, decode.d6.loss_mask: 0.5101, decode.d6.loss_dice: 0.7646, decode.d7.loss_cls: 0.2754, decode.d7.loss_mask: 0.5110, decode.d7.loss_dice: 0.7690, decode.d8.loss_cls: 0.2699, decode.d8.loss_mask: 0.5097, decode.d8.loss_dice: 0.7628, loss: 16.8666, grad_norm: 49.0437 2023-11-12 08:10:16,881 - mmseg - INFO - Iter [67050/160000] lr: 5.809e-05, eta: 13:03:11, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2834, decode.loss_mask: 0.5177, decode.loss_dice: 0.7753, decode.d0.loss_cls: 1.2753, decode.d0.loss_mask: 0.5517, decode.d0.loss_dice: 0.8546, decode.d1.loss_cls: 0.3617, decode.d1.loss_mask: 0.5383, decode.d1.loss_dice: 0.8162, decode.d2.loss_cls: 0.3205, decode.d2.loss_mask: 0.5272, decode.d2.loss_dice: 0.8002, decode.d3.loss_cls: 0.3068, decode.d3.loss_mask: 0.5220, decode.d3.loss_dice: 0.7841, decode.d4.loss_cls: 0.2986, decode.d4.loss_mask: 0.5217, decode.d4.loss_dice: 0.7820, decode.d5.loss_cls: 0.2973, decode.d5.loss_mask: 0.5194, decode.d5.loss_dice: 0.7853, decode.d6.loss_cls: 0.2916, decode.d6.loss_mask: 0.5191, decode.d6.loss_dice: 0.7778, decode.d7.loss_cls: 0.2924, decode.d7.loss_mask: 0.5191, decode.d7.loss_dice: 0.7770, decode.d8.loss_cls: 0.2862, decode.d8.loss_mask: 0.5187, decode.d8.loss_dice: 0.7816, loss: 17.2028, grad_norm: 51.6964 2023-11-12 08:10:40,689 - mmseg - INFO - Iter [67100/160000] lr: 5.806e-05, eta: 13:02:44, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2751, decode.loss_mask: 0.5372, decode.loss_dice: 0.7842, decode.d0.loss_cls: 1.2591, decode.d0.loss_mask: 0.5767, decode.d0.loss_dice: 0.8571, decode.d1.loss_cls: 0.3618, decode.d1.loss_mask: 0.5519, decode.d1.loss_dice: 0.8238, decode.d2.loss_cls: 0.3163, decode.d2.loss_mask: 0.5471, decode.d2.loss_dice: 0.8040, decode.d3.loss_cls: 0.3003, decode.d3.loss_mask: 0.5405, decode.d3.loss_dice: 0.7903, decode.d4.loss_cls: 0.2938, decode.d4.loss_mask: 0.5381, decode.d4.loss_dice: 0.7883, decode.d5.loss_cls: 0.2929, decode.d5.loss_mask: 0.5378, decode.d5.loss_dice: 0.7845, decode.d6.loss_cls: 0.2833, decode.d6.loss_mask: 0.5366, decode.d6.loss_dice: 0.7790, decode.d7.loss_cls: 0.2789, decode.d7.loss_mask: 0.5364, decode.d7.loss_dice: 0.7879, decode.d8.loss_cls: 0.2788, decode.d8.loss_mask: 0.5363, decode.d8.loss_dice: 0.7820, loss: 17.3599, grad_norm: 52.5607 2023-11-12 08:11:04,633 - mmseg - INFO - Iter [67150/160000] lr: 5.803e-05, eta: 13:02:17, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2802, decode.loss_mask: 0.4957, decode.loss_dice: 0.7637, decode.d0.loss_cls: 1.2720, decode.d0.loss_mask: 0.5278, decode.d0.loss_dice: 0.8438, decode.d1.loss_cls: 0.3635, decode.d1.loss_mask: 0.5135, decode.d1.loss_dice: 0.8064, decode.d2.loss_cls: 0.3160, decode.d2.loss_mask: 0.5037, decode.d2.loss_dice: 0.7855, decode.d3.loss_cls: 0.3001, decode.d3.loss_mask: 0.4981, decode.d3.loss_dice: 0.7776, decode.d4.loss_cls: 0.2877, decode.d4.loss_mask: 0.4981, decode.d4.loss_dice: 0.7779, decode.d5.loss_cls: 0.2820, decode.d5.loss_mask: 0.4989, decode.d5.loss_dice: 0.7755, decode.d6.loss_cls: 0.2872, decode.d6.loss_mask: 0.4960, decode.d6.loss_dice: 0.7652, decode.d7.loss_cls: 0.2803, decode.d7.loss_mask: 0.4958, decode.d7.loss_dice: 0.7696, decode.d8.loss_cls: 0.2770, decode.d8.loss_mask: 0.4945, decode.d8.loss_dice: 0.7668, loss: 16.8002, grad_norm: 46.9993 2023-11-12 08:11:28,823 - mmseg - INFO - Iter [67200/160000] lr: 5.800e-05, eta: 13:01:50, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2907, decode.loss_mask: 0.5102, decode.loss_dice: 0.7606, decode.d0.loss_cls: 1.2563, decode.d0.loss_mask: 0.5478, decode.d0.loss_dice: 0.8484, decode.d1.loss_cls: 0.3628, decode.d1.loss_mask: 0.5269, decode.d1.loss_dice: 0.8090, decode.d2.loss_cls: 0.3211, decode.d2.loss_mask: 0.5191, decode.d2.loss_dice: 0.7848, decode.d3.loss_cls: 0.3086, decode.d3.loss_mask: 0.5151, decode.d3.loss_dice: 0.7685, decode.d4.loss_cls: 0.2941, decode.d4.loss_mask: 0.5132, decode.d4.loss_dice: 0.7753, decode.d5.loss_cls: 0.2904, decode.d5.loss_mask: 0.5129, decode.d5.loss_dice: 0.7702, decode.d6.loss_cls: 0.2895, decode.d6.loss_mask: 0.5104, decode.d6.loss_dice: 0.7647, decode.d7.loss_cls: 0.2865, decode.d7.loss_mask: 0.5104, decode.d7.loss_dice: 0.7654, decode.d8.loss_cls: 0.2837, decode.d8.loss_mask: 0.5108, decode.d8.loss_dice: 0.7647, loss: 16.9719, grad_norm: 46.3264 2023-11-12 08:11:52,889 - mmseg - INFO - Iter [67250/160000] lr: 5.797e-05, eta: 13:01:23, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2473, decode.loss_mask: 0.4960, decode.loss_dice: 0.7600, decode.d0.loss_cls: 1.2714, decode.d0.loss_mask: 0.5296, decode.d0.loss_dice: 0.8260, decode.d1.loss_cls: 0.3302, decode.d1.loss_mask: 0.5129, decode.d1.loss_dice: 0.7978, decode.d2.loss_cls: 0.2845, decode.d2.loss_mask: 0.5014, decode.d2.loss_dice: 0.7776, decode.d3.loss_cls: 0.2654, decode.d3.loss_mask: 0.4978, decode.d3.loss_dice: 0.7635, decode.d4.loss_cls: 0.2573, decode.d4.loss_mask: 0.4977, decode.d4.loss_dice: 0.7652, decode.d5.loss_cls: 0.2502, decode.d5.loss_mask: 0.4994, decode.d5.loss_dice: 0.7659, decode.d6.loss_cls: 0.2481, decode.d6.loss_mask: 0.4985, decode.d6.loss_dice: 0.7636, decode.d7.loss_cls: 0.2496, decode.d7.loss_mask: 0.4981, decode.d7.loss_dice: 0.7632, decode.d8.loss_cls: 0.2463, decode.d8.loss_mask: 0.4979, decode.d8.loss_dice: 0.7624, loss: 16.4248, grad_norm: 41.3396 2023-11-12 08:12:16,994 - mmseg - INFO - Iter [67300/160000] lr: 5.794e-05, eta: 13:00:56, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2639, decode.loss_mask: 0.5128, decode.loss_dice: 0.7547, decode.d0.loss_cls: 1.2528, decode.d0.loss_mask: 0.5438, decode.d0.loss_dice: 0.8216, decode.d1.loss_cls: 0.3445, decode.d1.loss_mask: 0.5278, decode.d1.loss_dice: 0.7921, decode.d2.loss_cls: 0.2967, decode.d2.loss_mask: 0.5175, decode.d2.loss_dice: 0.7748, decode.d3.loss_cls: 0.2850, decode.d3.loss_mask: 0.5112, decode.d3.loss_dice: 0.7614, decode.d4.loss_cls: 0.2736, decode.d4.loss_mask: 0.5131, decode.d4.loss_dice: 0.7588, decode.d5.loss_cls: 0.2727, decode.d5.loss_mask: 0.5124, decode.d5.loss_dice: 0.7608, decode.d6.loss_cls: 0.2695, decode.d6.loss_mask: 0.5135, decode.d6.loss_dice: 0.7510, decode.d7.loss_cls: 0.2640, decode.d7.loss_mask: 0.5142, decode.d7.loss_dice: 0.7526, decode.d8.loss_cls: 0.2602, decode.d8.loss_mask: 0.5137, decode.d8.loss_dice: 0.7545, loss: 16.6452, grad_norm: 49.7321 2023-11-12 08:12:40,831 - mmseg - INFO - Iter [67350/160000] lr: 5.791e-05, eta: 13:00:29, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2686, decode.loss_mask: 0.4939, decode.loss_dice: 0.7523, decode.d0.loss_cls: 1.2835, decode.d0.loss_mask: 0.5276, decode.d0.loss_dice: 0.8265, decode.d1.loss_cls: 0.3475, decode.d1.loss_mask: 0.5159, decode.d1.loss_dice: 0.7880, decode.d2.loss_cls: 0.3063, decode.d2.loss_mask: 0.5062, decode.d2.loss_dice: 0.7735, decode.d3.loss_cls: 0.2877, decode.d3.loss_mask: 0.4985, decode.d3.loss_dice: 0.7552, decode.d4.loss_cls: 0.2757, decode.d4.loss_mask: 0.4960, decode.d4.loss_dice: 0.7606, decode.d5.loss_cls: 0.2721, decode.d5.loss_mask: 0.4958, decode.d5.loss_dice: 0.7567, decode.d6.loss_cls: 0.2703, decode.d6.loss_mask: 0.4949, decode.d6.loss_dice: 0.7518, decode.d7.loss_cls: 0.2690, decode.d7.loss_mask: 0.4948, decode.d7.loss_dice: 0.7513, decode.d8.loss_cls: 0.2695, decode.d8.loss_mask: 0.4956, decode.d8.loss_dice: 0.7488, loss: 16.5340, grad_norm: 48.3546 2023-11-12 08:13:04,717 - mmseg - INFO - Iter [67400/160000] lr: 5.788e-05, eta: 13:00:02, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2675, decode.loss_mask: 0.4953, decode.loss_dice: 0.7438, decode.d0.loss_cls: 1.2739, decode.d0.loss_mask: 0.5275, decode.d0.loss_dice: 0.8240, decode.d1.loss_cls: 0.3473, decode.d1.loss_mask: 0.5143, decode.d1.loss_dice: 0.7931, decode.d2.loss_cls: 0.3009, decode.d2.loss_mask: 0.5004, decode.d2.loss_dice: 0.7665, decode.d3.loss_cls: 0.2922, decode.d3.loss_mask: 0.4966, decode.d3.loss_dice: 0.7462, decode.d4.loss_cls: 0.2825, decode.d4.loss_mask: 0.4948, decode.d4.loss_dice: 0.7530, decode.d5.loss_cls: 0.2763, decode.d5.loss_mask: 0.4940, decode.d5.loss_dice: 0.7526, decode.d6.loss_cls: 0.2729, decode.d6.loss_mask: 0.4951, decode.d6.loss_dice: 0.7442, decode.d7.loss_cls: 0.2670, decode.d7.loss_mask: 0.4940, decode.d7.loss_dice: 0.7429, decode.d8.loss_cls: 0.2687, decode.d8.loss_mask: 0.4938, decode.d8.loss_dice: 0.7481, loss: 16.4693, grad_norm: 50.0789 2023-11-12 08:13:28,731 - mmseg - INFO - Iter [67450/160000] lr: 5.784e-05, eta: 12:59:35, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2561, decode.loss_mask: 0.5051, decode.loss_dice: 0.7464, decode.d0.loss_cls: 1.2283, decode.d0.loss_mask: 0.5409, decode.d0.loss_dice: 0.8156, decode.d1.loss_cls: 0.3430, decode.d1.loss_mask: 0.5184, decode.d1.loss_dice: 0.7873, decode.d2.loss_cls: 0.2903, decode.d2.loss_mask: 0.5123, decode.d2.loss_dice: 0.7675, decode.d3.loss_cls: 0.2874, decode.d3.loss_mask: 0.5056, decode.d3.loss_dice: 0.7483, decode.d4.loss_cls: 0.2749, decode.d4.loss_mask: 0.5024, decode.d4.loss_dice: 0.7502, decode.d5.loss_cls: 0.2641, decode.d5.loss_mask: 0.5035, decode.d5.loss_dice: 0.7559, decode.d6.loss_cls: 0.2635, decode.d6.loss_mask: 0.5054, decode.d6.loss_dice: 0.7436, decode.d7.loss_cls: 0.2636, decode.d7.loss_mask: 0.5048, decode.d7.loss_dice: 0.7447, decode.d8.loss_cls: 0.2570, decode.d8.loss_mask: 0.5049, decode.d8.loss_dice: 0.7469, loss: 16.4380, grad_norm: 49.9371 2023-11-12 08:13:52,685 - mmseg - INFO - Iter [67500/160000] lr: 5.781e-05, eta: 12:59:08, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2820, decode.loss_mask: 0.5015, decode.loss_dice: 0.7541, decode.d0.loss_cls: 1.3099, decode.d0.loss_mask: 0.5388, decode.d0.loss_dice: 0.8340, decode.d1.loss_cls: 0.3629, decode.d1.loss_mask: 0.5278, decode.d1.loss_dice: 0.8135, decode.d2.loss_cls: 0.3113, decode.d2.loss_mask: 0.5122, decode.d2.loss_dice: 0.7822, decode.d3.loss_cls: 0.3010, decode.d3.loss_mask: 0.5074, decode.d3.loss_dice: 0.7642, decode.d4.loss_cls: 0.2898, decode.d4.loss_mask: 0.5053, decode.d4.loss_dice: 0.7637, decode.d5.loss_cls: 0.2857, decode.d5.loss_mask: 0.5015, decode.d5.loss_dice: 0.7683, decode.d6.loss_cls: 0.2841, decode.d6.loss_mask: 0.5003, decode.d6.loss_dice: 0.7544, decode.d7.loss_cls: 0.2788, decode.d7.loss_mask: 0.5008, decode.d7.loss_dice: 0.7579, decode.d8.loss_cls: 0.2787, decode.d8.loss_mask: 0.4996, decode.d8.loss_dice: 0.7569, loss: 16.8285, grad_norm: 46.6641 2023-11-12 08:14:16,816 - mmseg - INFO - Iter [67550/160000] lr: 5.778e-05, eta: 12:58:41, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2776, decode.loss_mask: 0.5089, decode.loss_dice: 0.7779, decode.d0.loss_cls: 1.2983, decode.d0.loss_mask: 0.5538, decode.d0.loss_dice: 0.8642, decode.d1.loss_cls: 0.3635, decode.d1.loss_mask: 0.5242, decode.d1.loss_dice: 0.8211, decode.d2.loss_cls: 0.3125, decode.d2.loss_mask: 0.5146, decode.d2.loss_dice: 0.7978, decode.d3.loss_cls: 0.2919, decode.d3.loss_mask: 0.5091, decode.d3.loss_dice: 0.7821, decode.d4.loss_cls: 0.2833, decode.d4.loss_mask: 0.5089, decode.d4.loss_dice: 0.7834, decode.d5.loss_cls: 0.2821, decode.d5.loss_mask: 0.5080, decode.d5.loss_dice: 0.7833, decode.d6.loss_cls: 0.2784, decode.d6.loss_mask: 0.5099, decode.d6.loss_dice: 0.7735, decode.d7.loss_cls: 0.2711, decode.d7.loss_mask: 0.5097, decode.d7.loss_dice: 0.7774, decode.d8.loss_cls: 0.2727, decode.d8.loss_mask: 0.5088, decode.d8.loss_dice: 0.7755, loss: 17.0234, grad_norm: 47.6666 2023-11-12 08:14:41,094 - mmseg - INFO - Iter [67600/160000] lr: 5.775e-05, eta: 12:58:14, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2709, decode.loss_mask: 0.5141, decode.loss_dice: 0.7589, decode.d0.loss_cls: 1.2665, decode.d0.loss_mask: 0.5533, decode.d0.loss_dice: 0.8352, decode.d1.loss_cls: 0.3439, decode.d1.loss_mask: 0.5324, decode.d1.loss_dice: 0.8064, decode.d2.loss_cls: 0.3077, decode.d2.loss_mask: 0.5227, decode.d2.loss_dice: 0.7813, decode.d3.loss_cls: 0.2904, decode.d3.loss_mask: 0.5209, decode.d3.loss_dice: 0.7633, decode.d4.loss_cls: 0.2803, decode.d4.loss_mask: 0.5181, decode.d4.loss_dice: 0.7656, decode.d5.loss_cls: 0.2762, decode.d5.loss_mask: 0.5197, decode.d5.loss_dice: 0.7673, decode.d6.loss_cls: 0.2759, decode.d6.loss_mask: 0.5169, decode.d6.loss_dice: 0.7591, decode.d7.loss_cls: 0.2705, decode.d7.loss_mask: 0.5154, decode.d7.loss_dice: 0.7605, decode.d8.loss_cls: 0.2701, decode.d8.loss_mask: 0.5160, decode.d8.loss_dice: 0.7624, loss: 16.8413, grad_norm: 47.7604 2023-11-12 08:15:05,054 - mmseg - INFO - Iter [67650/160000] lr: 5.772e-05, eta: 12:57:47, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2728, decode.loss_mask: 0.5141, decode.loss_dice: 0.7663, decode.d0.loss_cls: 1.2685, decode.d0.loss_mask: 0.5497, decode.d0.loss_dice: 0.8413, decode.d1.loss_cls: 0.3494, decode.d1.loss_mask: 0.5312, decode.d1.loss_dice: 0.8071, decode.d2.loss_cls: 0.3137, decode.d2.loss_mask: 0.5187, decode.d2.loss_dice: 0.7855, decode.d3.loss_cls: 0.2939, decode.d3.loss_mask: 0.5179, decode.d3.loss_dice: 0.7697, decode.d4.loss_cls: 0.2801, decode.d4.loss_mask: 0.5151, decode.d4.loss_dice: 0.7768, decode.d5.loss_cls: 0.2786, decode.d5.loss_mask: 0.5141, decode.d5.loss_dice: 0.7750, decode.d6.loss_cls: 0.2810, decode.d6.loss_mask: 0.5126, decode.d6.loss_dice: 0.7663, decode.d7.loss_cls: 0.2771, decode.d7.loss_mask: 0.5123, decode.d7.loss_dice: 0.7650, decode.d8.loss_cls: 0.2742, decode.d8.loss_mask: 0.5149, decode.d8.loss_dice: 0.7665, loss: 16.9095, grad_norm: 49.3308 2023-11-12 08:15:29,240 - mmseg - INFO - Iter [67700/160000] lr: 5.769e-05, eta: 12:57:20, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2646, decode.loss_mask: 0.4952, decode.loss_dice: 0.7453, decode.d0.loss_cls: 1.2816, decode.d0.loss_mask: 0.5322, decode.d0.loss_dice: 0.8299, decode.d1.loss_cls: 0.3559, decode.d1.loss_mask: 0.5099, decode.d1.loss_dice: 0.7935, decode.d2.loss_cls: 0.3007, decode.d2.loss_mask: 0.5031, decode.d2.loss_dice: 0.7698, decode.d3.loss_cls: 0.2959, decode.d3.loss_mask: 0.4978, decode.d3.loss_dice: 0.7500, decode.d4.loss_cls: 0.2774, decode.d4.loss_mask: 0.4983, decode.d4.loss_dice: 0.7625, decode.d5.loss_cls: 0.2759, decode.d5.loss_mask: 0.4947, decode.d5.loss_dice: 0.7543, decode.d6.loss_cls: 0.2708, decode.d6.loss_mask: 0.4945, decode.d6.loss_dice: 0.7554, decode.d7.loss_cls: 0.2609, decode.d7.loss_mask: 0.4953, decode.d7.loss_dice: 0.7505, decode.d8.loss_cls: 0.2663, decode.d8.loss_mask: 0.4952, decode.d8.loss_dice: 0.7482, loss: 16.5254, grad_norm: 51.5700 2023-11-12 08:15:53,097 - mmseg - INFO - Iter [67750/160000] lr: 5.766e-05, eta: 12:56:53, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2598, decode.loss_mask: 0.5130, decode.loss_dice: 0.7690, decode.d0.loss_cls: 1.2356, decode.d0.loss_mask: 0.5504, decode.d0.loss_dice: 0.8406, decode.d1.loss_cls: 0.3424, decode.d1.loss_mask: 0.5279, decode.d1.loss_dice: 0.8047, decode.d2.loss_cls: 0.2950, decode.d2.loss_mask: 0.5191, decode.d2.loss_dice: 0.7960, decode.d3.loss_cls: 0.2781, decode.d3.loss_mask: 0.5180, decode.d3.loss_dice: 0.7750, decode.d4.loss_cls: 0.2784, decode.d4.loss_mask: 0.5162, decode.d4.loss_dice: 0.7778, decode.d5.loss_cls: 0.2720, decode.d5.loss_mask: 0.5156, decode.d5.loss_dice: 0.7773, decode.d6.loss_cls: 0.2654, decode.d6.loss_mask: 0.5133, decode.d6.loss_dice: 0.7726, decode.d7.loss_cls: 0.2632, decode.d7.loss_mask: 0.5148, decode.d7.loss_dice: 0.7707, decode.d8.loss_cls: 0.2608, decode.d8.loss_mask: 0.5163, decode.d8.loss_dice: 0.7704, loss: 16.8093, grad_norm: 44.8955 2023-11-12 08:16:16,964 - mmseg - INFO - Iter [67800/160000] lr: 5.763e-05, eta: 12:56:26, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2903, decode.loss_mask: 0.5305, decode.loss_dice: 0.7891, decode.d0.loss_cls: 1.2872, decode.d0.loss_mask: 0.5673, decode.d0.loss_dice: 0.8704, decode.d1.loss_cls: 0.3639, decode.d1.loss_mask: 0.5510, decode.d1.loss_dice: 0.8392, decode.d2.loss_cls: 0.3263, decode.d2.loss_mask: 0.5392, decode.d2.loss_dice: 0.8170, decode.d3.loss_cls: 0.3021, decode.d3.loss_mask: 0.5316, decode.d3.loss_dice: 0.7982, decode.d4.loss_cls: 0.2975, decode.d4.loss_mask: 0.5326, decode.d4.loss_dice: 0.7980, decode.d5.loss_cls: 0.2939, decode.d5.loss_mask: 0.5302, decode.d5.loss_dice: 0.7960, decode.d6.loss_cls: 0.2985, decode.d6.loss_mask: 0.5281, decode.d6.loss_dice: 0.7874, decode.d7.loss_cls: 0.2862, decode.d7.loss_mask: 0.5296, decode.d7.loss_dice: 0.7954, decode.d8.loss_cls: 0.2881, decode.d8.loss_mask: 0.5303, decode.d8.loss_dice: 0.7897, loss: 17.4847, grad_norm: 52.3111 2023-11-12 08:16:41,367 - mmseg - INFO - Iter [67850/160000] lr: 5.759e-05, eta: 12:56:00, time: 0.488, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2812, decode.loss_mask: 0.4907, decode.loss_dice: 0.7532, decode.d0.loss_cls: 1.3011, decode.d0.loss_mask: 0.5316, decode.d0.loss_dice: 0.8313, decode.d1.loss_cls: 0.3568, decode.d1.loss_mask: 0.5145, decode.d1.loss_dice: 0.7996, decode.d2.loss_cls: 0.3179, decode.d2.loss_mask: 0.5021, decode.d2.loss_dice: 0.7779, decode.d3.loss_cls: 0.3019, decode.d3.loss_mask: 0.4981, decode.d3.loss_dice: 0.7670, decode.d4.loss_cls: 0.2956, decode.d4.loss_mask: 0.4963, decode.d4.loss_dice: 0.7700, decode.d5.loss_cls: 0.2914, decode.d5.loss_mask: 0.4946, decode.d5.loss_dice: 0.7598, decode.d6.loss_cls: 0.2846, decode.d6.loss_mask: 0.4967, decode.d6.loss_dice: 0.7583, decode.d7.loss_cls: 0.2812, decode.d7.loss_mask: 0.4925, decode.d7.loss_dice: 0.7605, decode.d8.loss_cls: 0.2773, decode.d8.loss_mask: 0.4936, decode.d8.loss_dice: 0.7581, loss: 16.7354, grad_norm: 48.7363 2023-11-12 08:17:05,502 - mmseg - INFO - Iter [67900/160000] lr: 5.756e-05, eta: 12:55:33, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2692, decode.loss_mask: 0.5107, decode.loss_dice: 0.7488, decode.d0.loss_cls: 1.2459, decode.d0.loss_mask: 0.5451, decode.d0.loss_dice: 0.8127, decode.d1.loss_cls: 0.3437, decode.d1.loss_mask: 0.5285, decode.d1.loss_dice: 0.7825, decode.d2.loss_cls: 0.3012, decode.d2.loss_mask: 0.5147, decode.d2.loss_dice: 0.7683, decode.d3.loss_cls: 0.2866, decode.d3.loss_mask: 0.5098, decode.d3.loss_dice: 0.7525, decode.d4.loss_cls: 0.2741, decode.d4.loss_mask: 0.5112, decode.d4.loss_dice: 0.7539, decode.d5.loss_cls: 0.2712, decode.d5.loss_mask: 0.5126, decode.d5.loss_dice: 0.7572, decode.d6.loss_cls: 0.2698, decode.d6.loss_mask: 0.5106, decode.d6.loss_dice: 0.7478, decode.d7.loss_cls: 0.2717, decode.d7.loss_mask: 0.5119, decode.d7.loss_dice: 0.7491, decode.d8.loss_cls: 0.2676, decode.d8.loss_mask: 0.5115, decode.d8.loss_dice: 0.7485, loss: 16.5890, grad_norm: 46.6829 2023-11-12 08:17:29,411 - mmseg - INFO - Iter [67950/160000] lr: 5.753e-05, eta: 12:55:06, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2894, decode.loss_mask: 0.4933, decode.loss_dice: 0.7641, decode.d0.loss_cls: 1.3072, decode.d0.loss_mask: 0.5323, decode.d0.loss_dice: 0.8387, decode.d1.loss_cls: 0.3671, decode.d1.loss_mask: 0.5083, decode.d1.loss_dice: 0.8020, decode.d2.loss_cls: 0.3211, decode.d2.loss_mask: 0.4993, decode.d2.loss_dice: 0.7779, decode.d3.loss_cls: 0.3111, decode.d3.loss_mask: 0.4948, decode.d3.loss_dice: 0.7638, decode.d4.loss_cls: 0.3042, decode.d4.loss_mask: 0.4951, decode.d4.loss_dice: 0.7615, decode.d5.loss_cls: 0.2976, decode.d5.loss_mask: 0.4943, decode.d5.loss_dice: 0.7674, decode.d6.loss_cls: 0.2869, decode.d6.loss_mask: 0.4953, decode.d6.loss_dice: 0.7644, decode.d7.loss_cls: 0.2901, decode.d7.loss_mask: 0.4938, decode.d7.loss_dice: 0.7636, decode.d8.loss_cls: 0.2909, decode.d8.loss_mask: 0.4941, decode.d8.loss_dice: 0.7660, loss: 16.8354, grad_norm: 48.2434 2023-11-12 08:17:53,721 - mmseg - INFO - Saving checkpoint at 68000 iterations 2023-11-12 08:17:57,753 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 08:17:57,753 - mmseg - INFO - Iter [68000/160000] lr: 5.750e-05, eta: 12:54:45, time: 0.567, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2623, decode.loss_mask: 0.4908, decode.loss_dice: 0.7374, decode.d0.loss_cls: 1.2459, decode.d0.loss_mask: 0.5253, decode.d0.loss_dice: 0.8107, decode.d1.loss_cls: 0.3335, decode.d1.loss_mask: 0.5108, decode.d1.loss_dice: 0.7802, decode.d2.loss_cls: 0.2936, decode.d2.loss_mask: 0.4994, decode.d2.loss_dice: 0.7599, decode.d3.loss_cls: 0.2797, decode.d3.loss_mask: 0.4940, decode.d3.loss_dice: 0.7499, decode.d4.loss_cls: 0.2712, decode.d4.loss_mask: 0.4951, decode.d4.loss_dice: 0.7514, decode.d5.loss_cls: 0.2658, decode.d5.loss_mask: 0.4928, decode.d5.loss_dice: 0.7443, decode.d6.loss_cls: 0.2669, decode.d6.loss_mask: 0.4911, decode.d6.loss_dice: 0.7376, decode.d7.loss_cls: 0.2572, decode.d7.loss_mask: 0.4926, decode.d7.loss_dice: 0.7460, decode.d8.loss_cls: 0.2578, decode.d8.loss_mask: 0.4930, decode.d8.loss_dice: 0.7402, loss: 16.2765, grad_norm: 49.4367 2023-11-12 08:18:17,391 - mmseg - INFO - per class results: 2023-11-12 08:18:17,397 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.96 | 85.96 | | building | 81.94 | 89.62 | | sky | 94.88 | 97.76 | | floor | 83.42 | 90.18 | | tree | 75.81 | 86.42 | | ceiling | 84.67 | 90.42 | | road | 86.47 | 92.36 | | bed | 89.3 | 96.64 | | windowpane | 62.51 | 76.71 | | grass | 64.01 | 71.28 | | cabinet | 63.3 | 78.84 | | sidewalk | 71.2 | 83.19 | | person | 84.8 | 92.85 | | earth | 36.98 | 62.8 | | door | 48.93 | 69.37 | | table | 62.55 | 77.54 | | mountain | 60.97 | 71.88 | | plant | 56.52 | 72.57 | | curtain | 76.66 | 85.88 | | chair | 65.38 | 78.39 | | car | 87.63 | 93.51 | | water | 53.34 | 68.13 | | painting | 73.31 | 87.49 | | sofa | 72.65 | 86.04 | | shelf | 38.98 | 54.38 | | house | 48.39 | 81.7 | | sea | 59.55 | 81.16 | | mirror | 62.16 | 83.41 | | rug | 67.42 | 74.65 | | field | 26.55 | 45.16 | | armchair | 48.82 | 65.63 | | seat | 63.71 | 82.08 | | fence | 43.89 | 70.49 | | desk | 50.5 | 76.65 | | rock | 47.8 | 77.32 | | wardrobe | 44.18 | 62.05 | | lamp | 72.48 | 84.68 | | bathtub | 79.19 | 84.83 | | railing | 36.26 | 54.32 | | cushion | 66.75 | 78.39 | | base | 34.59 | 72.47 | | box | 26.51 | 37.31 | | column | 42.75 | 58.7 | | signboard | 38.18 | 58.78 | | chest of drawers | 41.76 | 58.3 | | counter | 36.04 | 43.81 | | sand | 37.39 | 50.78 | | sink | 78.14 | 82.71 | | skyscraper | 31.96 | 40.18 | | fireplace | 73.71 | 92.25 | | refrigerator | 84.25 | 88.27 | | grandstand | 39.39 | 66.04 | | path | 29.08 | 40.31 | | stairs | 23.56 | 31.72 | | runway | 61.69 | 62.82 | | case | 65.27 | 80.64 | | pool table | 94.57 | 96.82 | | pillow | 63.61 | 73.03 | | screen door | 58.31 | 88.12 | | stairway | 31.53 | 50.18 | | river | 18.95 | 40.33 | | bridge | 73.0 | 84.2 | | bookcase | 33.67 | 61.68 | | blind | 48.13 | 59.93 | | coffee table | 64.45 | 85.9 | | toilet | 88.35 | 91.74 | | flower | 52.38 | 66.4 | | book | 51.05 | 69.58 | | hill | 6.9 | 12.42 | | bench | 58.7 | 70.1 | | countertop | 59.92 | 75.53 | | stove | 85.59 | 91.67 | | palm | 54.8 | 70.99 | | kitchen island | 37.25 | 84.1 | | computer | 72.49 | 78.9 | | swivel chair | 45.97 | 62.3 | | boat | 62.13 | 87.18 | | bar | 41.53 | 46.29 | | arcade machine | 66.02 | 70.27 | | hovel | 31.18 | 48.59 | | bus | 92.75 | 96.94 | | towel | 72.59 | 80.99 | | light | 62.63 | 77.99 | | truck | 48.84 | 60.59 | | tower | 17.88 | 59.05 | | chandelier | 73.14 | 89.55 | | awning | 40.32 | 48.12 | | streetlight | 43.77 | 62.12 | | booth | 24.49 | 39.11 | | television receiver | 71.36 | 79.63 | | airplane | 60.25 | 73.78 | | dirt track | 8.42 | 17.4 | | apparel | 30.82 | 46.9 | | pole | 30.66 | 50.16 | | land | 5.92 | 9.16 | | bannister | 18.61 | 27.9 | | escalator | 19.75 | 21.22 | | ottoman | 57.3 | 73.26 | | bottle | 33.28 | 42.36 | | buffet | 46.07 | 61.96 | | poster | 27.62 | 43.9 | | stage | 16.76 | 33.83 | | van | 50.6 | 71.63 | | ship | 3.93 | 4.05 | | fountain | 20.78 | 27.4 | | conveyer belt | 41.83 | 67.69 | | canopy | 38.74 | 68.33 | | washer | 70.08 | 72.06 | | plaything | 40.23 | 66.97 | | swimming pool | 29.23 | 38.25 | | stool | 50.05 | 73.6 | | barrel | 77.66 | 97.75 | | basket | 40.08 | 52.65 | | waterfall | 61.5 | 89.23 | | tent | 91.05 | 98.29 | | bag | 19.78 | 27.03 | | minibike | 76.14 | 92.41 | | cradle | 83.42 | 97.44 | | oven | 24.11 | 66.85 | | ball | 26.51 | 30.01 | | food | 57.78 | 75.13 | | step | 15.62 | 22.97 | | tank | 53.9 | 64.93 | | trade name | 26.97 | 34.88 | | microwave | 40.8 | 45.13 | | pot | 43.64 | 52.58 | | animal | 60.16 | 62.32 | | bicycle | 59.65 | 78.4 | | lake | 0.05 | 0.05 | | dishwasher | 77.18 | 82.49 | | screen | 68.38 | 91.35 | | blanket | 25.27 | 36.92 | | sculpture | 46.01 | 88.84 | | hood | 70.11 | 73.31 | | sconce | 56.62 | 77.1 | | vase | 51.73 | 70.16 | | traffic light | 34.29 | 67.28 | | tray | 19.73 | 35.27 | | ashcan | 53.96 | 70.34 | | fan | 69.47 | 83.79 | | pier | 34.12 | 42.98 | | crt screen | 3.62 | 11.5 | | plate | 61.69 | 79.76 | | monitor | 9.71 | 13.2 | | bulletin board | 44.04 | 60.78 | | shower | 11.74 | 21.97 | | radiator | 72.1 | 85.43 | | glass | 21.06 | 23.09 | | clock | 56.68 | 71.47 | | flag | 44.91 | 53.03 | +---------------------+-------+-------+ 2023-11-12 08:18:17,397 - mmseg - INFO - Summary: 2023-11-12 08:18:17,397 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.37 | 51.04 | 65.25 | +-------+-------+-------+ 2023-11-12 08:18:17,397 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 08:18:17,398 - mmseg - INFO - Iter(val) [250] aAcc: 0.8337, mIoU: 0.5104, mAcc: 0.6525, IoU.wall: 0.7796, IoU.building: 0.8194, IoU.sky: 0.9488, IoU.floor: 0.8342, IoU.tree: 0.7581, IoU.ceiling: 0.8467, IoU.road: 0.8647, IoU.bed : 0.8930, IoU.windowpane: 0.6251, IoU.grass: 0.6401, IoU.cabinet: 0.6330, IoU.sidewalk: 0.7120, IoU.person: 0.8480, IoU.earth: 0.3698, IoU.door: 0.4893, IoU.table: 0.6255, IoU.mountain: 0.6097, IoU.plant: 0.5652, IoU.curtain: 0.7666, IoU.chair: 0.6538, IoU.car: 0.8763, IoU.water: 0.5334, IoU.painting: 0.7331, IoU.sofa: 0.7265, IoU.shelf: 0.3898, IoU.house: 0.4839, IoU.sea: 0.5955, IoU.mirror: 0.6216, IoU.rug: 0.6742, IoU.field: 0.2655, IoU.armchair: 0.4882, IoU.seat: 0.6371, IoU.fence: 0.4389, IoU.desk: 0.5050, IoU.rock: 0.4780, IoU.wardrobe: 0.4418, IoU.lamp: 0.7248, IoU.bathtub: 0.7919, IoU.railing: 0.3626, IoU.cushion: 0.6675, IoU.base: 0.3459, IoU.box: 0.2651, IoU.column: 0.4275, IoU.signboard: 0.3818, IoU.chest of drawers: 0.4176, IoU.counter: 0.3604, IoU.sand: 0.3739, IoU.sink: 0.7814, IoU.skyscraper: 0.3196, IoU.fireplace: 0.7371, IoU.refrigerator: 0.8425, IoU.grandstand: 0.3939, IoU.path: 0.2908, IoU.stairs: 0.2356, IoU.runway: 0.6169, IoU.case: 0.6527, IoU.pool table: 0.9457, IoU.pillow: 0.6361, IoU.screen door: 0.5831, IoU.stairway: 0.3153, IoU.river: 0.1895, IoU.bridge: 0.7300, IoU.bookcase: 0.3367, IoU.blind: 0.4813, IoU.coffee table: 0.6445, IoU.toilet: 0.8835, IoU.flower: 0.5238, IoU.book: 0.5105, IoU.hill: 0.0690, IoU.bench: 0.5870, IoU.countertop: 0.5992, IoU.stove: 0.8559, IoU.palm: 0.5480, IoU.kitchen island: 0.3725, IoU.computer: 0.7249, IoU.swivel chair: 0.4597, IoU.boat: 0.6213, IoU.bar: 0.4153, IoU.arcade machine: 0.6602, IoU.hovel: 0.3118, IoU.bus: 0.9275, IoU.towel: 0.7259, IoU.light: 0.6263, IoU.truck: 0.4884, IoU.tower: 0.1788, IoU.chandelier: 0.7314, IoU.awning: 0.4032, IoU.streetlight: 0.4377, IoU.booth: 0.2449, IoU.television receiver: 0.7136, IoU.airplane: 0.6025, IoU.dirt track: 0.0842, IoU.apparel: 0.3082, IoU.pole: 0.3066, IoU.land: 0.0592, IoU.bannister: 0.1861, IoU.escalator: 0.1975, IoU.ottoman: 0.5730, IoU.bottle: 0.3328, IoU.buffet: 0.4607, IoU.poster: 0.2762, IoU.stage: 0.1676, IoU.van: 0.5060, IoU.ship: 0.0393, IoU.fountain: 0.2078, IoU.conveyer belt: 0.4183, IoU.canopy: 0.3874, IoU.washer: 0.7008, IoU.plaything: 0.4023, IoU.swimming pool: 0.2923, IoU.stool: 0.5005, IoU.barrel: 0.7766, IoU.basket: 0.4008, IoU.waterfall: 0.6150, IoU.tent: 0.9105, IoU.bag: 0.1978, IoU.minibike: 0.7614, IoU.cradle: 0.8342, IoU.oven: 0.2411, IoU.ball: 0.2651, IoU.food: 0.5778, IoU.step: 0.1562, IoU.tank: 0.5390, IoU.trade name: 0.2697, IoU.microwave: 0.4080, IoU.pot: 0.4364, IoU.animal: 0.6016, IoU.bicycle: 0.5965, IoU.lake: 0.0005, IoU.dishwasher: 0.7718, IoU.screen: 0.6838, IoU.blanket: 0.2527, IoU.sculpture: 0.4601, IoU.hood: 0.7011, IoU.sconce: 0.5662, IoU.vase: 0.5173, IoU.traffic light: 0.3429, IoU.tray: 0.1973, IoU.ashcan: 0.5396, IoU.fan: 0.6947, IoU.pier: 0.3412, IoU.crt screen: 0.0362, IoU.plate: 0.6169, IoU.monitor: 0.0971, IoU.bulletin board: 0.4404, IoU.shower: 0.1174, IoU.radiator: 0.7210, IoU.glass: 0.2106, IoU.clock: 0.5668, IoU.flag: 0.4491, Acc.wall: 0.8596, Acc.building: 0.8962, Acc.sky: 0.9776, Acc.floor: 0.9018, Acc.tree: 0.8642, Acc.ceiling: 0.9042, Acc.road: 0.9236, Acc.bed : 0.9664, Acc.windowpane: 0.7671, Acc.grass: 0.7128, Acc.cabinet: 0.7884, Acc.sidewalk: 0.8319, Acc.person: 0.9285, Acc.earth: 0.6280, Acc.door: 0.6937, Acc.table: 0.7754, Acc.mountain: 0.7188, Acc.plant: 0.7257, Acc.curtain: 0.8588, Acc.chair: 0.7839, Acc.car: 0.9351, Acc.water: 0.6813, Acc.painting: 0.8749, Acc.sofa: 0.8604, Acc.shelf: 0.5438, Acc.house: 0.8170, Acc.sea: 0.8116, Acc.mirror: 0.8341, Acc.rug: 0.7465, Acc.field: 0.4516, Acc.armchair: 0.6563, Acc.seat: 0.8208, Acc.fence: 0.7049, Acc.desk: 0.7665, Acc.rock: 0.7732, Acc.wardrobe: 0.6205, Acc.lamp: 0.8468, Acc.bathtub: 0.8483, Acc.railing: 0.5432, Acc.cushion: 0.7839, Acc.base: 0.7247, Acc.box: 0.3731, Acc.column: 0.5870, Acc.signboard: 0.5878, Acc.chest of drawers: 0.5830, Acc.counter: 0.4381, Acc.sand: 0.5078, Acc.sink: 0.8271, Acc.skyscraper: 0.4018, Acc.fireplace: 0.9225, Acc.refrigerator: 0.8827, Acc.grandstand: 0.6604, Acc.path: 0.4031, Acc.stairs: 0.3172, Acc.runway: 0.6282, Acc.case: 0.8064, Acc.pool table: 0.9682, Acc.pillow: 0.7303, Acc.screen door: 0.8812, Acc.stairway: 0.5018, Acc.river: 0.4033, Acc.bridge: 0.8420, Acc.bookcase: 0.6168, Acc.blind: 0.5993, Acc.coffee table: 0.8590, Acc.toilet: 0.9174, Acc.flower: 0.6640, Acc.book: 0.6958, Acc.hill: 0.1242, Acc.bench: 0.7010, Acc.countertop: 0.7553, Acc.stove: 0.9167, Acc.palm: 0.7099, Acc.kitchen island: 0.8410, Acc.computer: 0.7890, Acc.swivel chair: 0.6230, Acc.boat: 0.8718, Acc.bar: 0.4629, Acc.arcade machine: 0.7027, Acc.hovel: 0.4859, Acc.bus: 0.9694, Acc.towel: 0.8099, Acc.light: 0.7799, Acc.truck: 0.6059, Acc.tower: 0.5905, Acc.chandelier: 0.8955, Acc.awning: 0.4812, Acc.streetlight: 0.6212, Acc.booth: 0.3911, Acc.television receiver: 0.7963, Acc.airplane: 0.7378, Acc.dirt track: 0.1740, Acc.apparel: 0.4690, Acc.pole: 0.5016, Acc.land: 0.0916, Acc.bannister: 0.2790, Acc.escalator: 0.2122, Acc.ottoman: 0.7326, Acc.bottle: 0.4236, Acc.buffet: 0.6196, Acc.poster: 0.4390, Acc.stage: 0.3383, Acc.van: 0.7163, Acc.ship: 0.0405, Acc.fountain: 0.2740, Acc.conveyer belt: 0.6769, Acc.canopy: 0.6833, Acc.washer: 0.7206, Acc.plaything: 0.6697, Acc.swimming pool: 0.3825, Acc.stool: 0.7360, Acc.barrel: 0.9775, Acc.basket: 0.5265, Acc.waterfall: 0.8923, Acc.tent: 0.9829, Acc.bag: 0.2703, Acc.minibike: 0.9241, Acc.cradle: 0.9744, Acc.oven: 0.6685, Acc.ball: 0.3001, Acc.food: 0.7513, Acc.step: 0.2297, Acc.tank: 0.6493, Acc.trade name: 0.3488, Acc.microwave: 0.4513, Acc.pot: 0.5258, Acc.animal: 0.6232, Acc.bicycle: 0.7840, Acc.lake: 0.0005, Acc.dishwasher: 0.8249, Acc.screen: 0.9135, Acc.blanket: 0.3692, Acc.sculpture: 0.8884, Acc.hood: 0.7331, Acc.sconce: 0.7710, Acc.vase: 0.7016, Acc.traffic light: 0.6728, Acc.tray: 0.3527, Acc.ashcan: 0.7034, Acc.fan: 0.8379, Acc.pier: 0.4298, Acc.crt screen: 0.1150, Acc.plate: 0.7976, Acc.monitor: 0.1320, Acc.bulletin board: 0.6078, Acc.shower: 0.2197, Acc.radiator: 0.8543, Acc.glass: 0.2309, Acc.clock: 0.7147, Acc.flag: 0.5303 2023-11-12 08:18:41,628 - mmseg - INFO - Iter [68050/160000] lr: 5.747e-05, eta: 12:54:44, time: 0.877, data_time: 0.405, memory: 41146, decode.loss_cls: 0.2802, decode.loss_mask: 0.5080, decode.loss_dice: 0.7351, decode.d0.loss_cls: 1.2883, decode.d0.loss_mask: 0.5473, decode.d0.loss_dice: 0.8174, decode.d1.loss_cls: 0.3666, decode.d1.loss_mask: 0.5283, decode.d1.loss_dice: 0.7867, decode.d2.loss_cls: 0.3146, decode.d2.loss_mask: 0.5185, decode.d2.loss_dice: 0.7653, decode.d3.loss_cls: 0.3043, decode.d3.loss_mask: 0.5127, decode.d3.loss_dice: 0.7464, decode.d4.loss_cls: 0.2943, decode.d4.loss_mask: 0.5112, decode.d4.loss_dice: 0.7450, decode.d5.loss_cls: 0.2913, decode.d5.loss_mask: 0.5098, decode.d5.loss_dice: 0.7456, decode.d6.loss_cls: 0.2894, decode.d6.loss_mask: 0.5085, decode.d6.loss_dice: 0.7380, decode.d7.loss_cls: 0.2876, decode.d7.loss_mask: 0.5077, decode.d7.loss_dice: 0.7347, decode.d8.loss_cls: 0.2788, decode.d8.loss_mask: 0.5091, decode.d8.loss_dice: 0.7416, loss: 16.7122, grad_norm: 47.9978 2023-11-12 08:19:05,717 - mmseg - INFO - Iter [68100/160000] lr: 5.744e-05, eta: 12:54:18, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2629, decode.loss_mask: 0.5052, decode.loss_dice: 0.7650, decode.d0.loss_cls: 1.2520, decode.d0.loss_mask: 0.5398, decode.d0.loss_dice: 0.8431, decode.d1.loss_cls: 0.3460, decode.d1.loss_mask: 0.5202, decode.d1.loss_dice: 0.8064, decode.d2.loss_cls: 0.2994, decode.d2.loss_mask: 0.5131, decode.d2.loss_dice: 0.7873, decode.d3.loss_cls: 0.2837, decode.d3.loss_mask: 0.5056, decode.d3.loss_dice: 0.7696, decode.d4.loss_cls: 0.2776, decode.d4.loss_mask: 0.5033, decode.d4.loss_dice: 0.7678, decode.d5.loss_cls: 0.2757, decode.d5.loss_mask: 0.5053, decode.d5.loss_dice: 0.7634, decode.d6.loss_cls: 0.2668, decode.d6.loss_mask: 0.5051, decode.d6.loss_dice: 0.7635, decode.d7.loss_cls: 0.2657, decode.d7.loss_mask: 0.5047, decode.d7.loss_dice: 0.7652, decode.d8.loss_cls: 0.2639, decode.d8.loss_mask: 0.5062, decode.d8.loss_dice: 0.7675, loss: 16.7009, grad_norm: 48.3682 2023-11-12 08:19:30,126 - mmseg - INFO - Iter [68150/160000] lr: 5.741e-05, eta: 12:53:51, time: 0.488, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2799, decode.loss_mask: 0.5208, decode.loss_dice: 0.7742, decode.d0.loss_cls: 1.2864, decode.d0.loss_mask: 0.5618, decode.d0.loss_dice: 0.8457, decode.d1.loss_cls: 0.3529, decode.d1.loss_mask: 0.5405, decode.d1.loss_dice: 0.8210, decode.d2.loss_cls: 0.3223, decode.d2.loss_mask: 0.5261, decode.d2.loss_dice: 0.7949, decode.d3.loss_cls: 0.3022, decode.d3.loss_mask: 0.5247, decode.d3.loss_dice: 0.7787, decode.d4.loss_cls: 0.2958, decode.d4.loss_mask: 0.5213, decode.d4.loss_dice: 0.7796, decode.d5.loss_cls: 0.2880, decode.d5.loss_mask: 0.5247, decode.d5.loss_dice: 0.7766, decode.d6.loss_cls: 0.2857, decode.d6.loss_mask: 0.5224, decode.d6.loss_dice: 0.7736, decode.d7.loss_cls: 0.2838, decode.d7.loss_mask: 0.5236, decode.d7.loss_dice: 0.7751, decode.d8.loss_cls: 0.2793, decode.d8.loss_mask: 0.5247, decode.d8.loss_dice: 0.7732, loss: 17.1595, grad_norm: 47.9773 2023-11-12 08:19:54,417 - mmseg - INFO - Iter [68200/160000] lr: 5.738e-05, eta: 12:53:25, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2728, decode.loss_mask: 0.5107, decode.loss_dice: 0.7820, decode.d0.loss_cls: 1.2629, decode.d0.loss_mask: 0.5413, decode.d0.loss_dice: 0.8420, decode.d1.loss_cls: 0.3444, decode.d1.loss_mask: 0.5264, decode.d1.loss_dice: 0.8187, decode.d2.loss_cls: 0.3034, decode.d2.loss_mask: 0.5146, decode.d2.loss_dice: 0.7958, decode.d3.loss_cls: 0.2890, decode.d3.loss_mask: 0.5106, decode.d3.loss_dice: 0.7833, decode.d4.loss_cls: 0.2810, decode.d4.loss_mask: 0.5109, decode.d4.loss_dice: 0.7808, decode.d5.loss_cls: 0.2783, decode.d5.loss_mask: 0.5125, decode.d5.loss_dice: 0.7786, decode.d6.loss_cls: 0.2766, decode.d6.loss_mask: 0.5115, decode.d6.loss_dice: 0.7781, decode.d7.loss_cls: 0.2707, decode.d7.loss_mask: 0.5103, decode.d7.loss_dice: 0.7837, decode.d8.loss_cls: 0.2727, decode.d8.loss_mask: 0.5089, decode.d8.loss_dice: 0.7774, loss: 16.9300, grad_norm: 46.9335 2023-11-12 08:20:21,675 - mmseg - INFO - Iter [68250/160000] lr: 5.734e-05, eta: 12:53:02, time: 0.545, data_time: 0.060, memory: 41146, decode.loss_cls: 0.2779, decode.loss_mask: 0.5225, decode.loss_dice: 0.7559, decode.d0.loss_cls: 1.2826, decode.d0.loss_mask: 0.5594, decode.d0.loss_dice: 0.8387, decode.d1.loss_cls: 0.3578, decode.d1.loss_mask: 0.5405, decode.d1.loss_dice: 0.8048, decode.d2.loss_cls: 0.3107, decode.d2.loss_mask: 0.5312, decode.d2.loss_dice: 0.7781, decode.d3.loss_cls: 0.2960, decode.d3.loss_mask: 0.5250, decode.d3.loss_dice: 0.7608, decode.d4.loss_cls: 0.2873, decode.d4.loss_mask: 0.5257, decode.d4.loss_dice: 0.7646, decode.d5.loss_cls: 0.2886, decode.d5.loss_mask: 0.5208, decode.d5.loss_dice: 0.7596, decode.d6.loss_cls: 0.2844, decode.d6.loss_mask: 0.5202, decode.d6.loss_dice: 0.7554, decode.d7.loss_cls: 0.2823, decode.d7.loss_mask: 0.5204, decode.d7.loss_dice: 0.7523, decode.d8.loss_cls: 0.2762, decode.d8.loss_mask: 0.5228, decode.d8.loss_dice: 0.7582, loss: 16.9608, grad_norm: 50.8646 2023-11-12 08:20:46,108 - mmseg - INFO - Iter [68300/160000] lr: 5.731e-05, eta: 12:52:36, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2590, decode.loss_mask: 0.5169, decode.loss_dice: 0.7674, decode.d0.loss_cls: 1.2843, decode.d0.loss_mask: 0.5481, decode.d0.loss_dice: 0.8360, decode.d1.loss_cls: 0.3532, decode.d1.loss_mask: 0.5305, decode.d1.loss_dice: 0.8065, decode.d2.loss_cls: 0.3034, decode.d2.loss_mask: 0.5209, decode.d2.loss_dice: 0.7889, decode.d3.loss_cls: 0.2834, decode.d3.loss_mask: 0.5161, decode.d3.loss_dice: 0.7683, decode.d4.loss_cls: 0.2685, decode.d4.loss_mask: 0.5165, decode.d4.loss_dice: 0.7726, decode.d5.loss_cls: 0.2672, decode.d5.loss_mask: 0.5176, decode.d5.loss_dice: 0.7755, decode.d6.loss_cls: 0.2646, decode.d6.loss_mask: 0.5173, decode.d6.loss_dice: 0.7672, decode.d7.loss_cls: 0.2614, decode.d7.loss_mask: 0.5185, decode.d7.loss_dice: 0.7703, decode.d8.loss_cls: 0.2568, decode.d8.loss_mask: 0.5189, decode.d8.loss_dice: 0.7706, loss: 16.8468, grad_norm: 47.0066 2023-11-12 08:21:10,187 - mmseg - INFO - Iter [68350/160000] lr: 5.728e-05, eta: 12:52:09, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2545, decode.loss_mask: 0.5068, decode.loss_dice: 0.7495, decode.d0.loss_cls: 1.2704, decode.d0.loss_mask: 0.5453, decode.d0.loss_dice: 0.8235, decode.d1.loss_cls: 0.3369, decode.d1.loss_mask: 0.5288, decode.d1.loss_dice: 0.7884, decode.d2.loss_cls: 0.2842, decode.d2.loss_mask: 0.5178, decode.d2.loss_dice: 0.7708, decode.d3.loss_cls: 0.2783, decode.d3.loss_mask: 0.5103, decode.d3.loss_dice: 0.7503, decode.d4.loss_cls: 0.2660, decode.d4.loss_mask: 0.5113, decode.d4.loss_dice: 0.7563, decode.d5.loss_cls: 0.2640, decode.d5.loss_mask: 0.5090, decode.d5.loss_dice: 0.7546, decode.d6.loss_cls: 0.2620, decode.d6.loss_mask: 0.5075, decode.d6.loss_dice: 0.7504, decode.d7.loss_cls: 0.2624, decode.d7.loss_mask: 0.5087, decode.d7.loss_dice: 0.7506, decode.d8.loss_cls: 0.2638, decode.d8.loss_mask: 0.5063, decode.d8.loss_dice: 0.7505, loss: 16.5390, grad_norm: 56.1547 2023-11-12 08:21:34,340 - mmseg - INFO - Iter [68400/160000] lr: 5.725e-05, eta: 12:51:42, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2603, decode.loss_mask: 0.4995, decode.loss_dice: 0.7371, decode.d0.loss_cls: 1.2248, decode.d0.loss_mask: 0.5318, decode.d0.loss_dice: 0.8107, decode.d1.loss_cls: 0.3333, decode.d1.loss_mask: 0.5152, decode.d1.loss_dice: 0.7695, decode.d2.loss_cls: 0.2993, decode.d2.loss_mask: 0.5053, decode.d2.loss_dice: 0.7561, decode.d3.loss_cls: 0.2830, decode.d3.loss_mask: 0.5023, decode.d3.loss_dice: 0.7390, decode.d4.loss_cls: 0.2711, decode.d4.loss_mask: 0.5029, decode.d4.loss_dice: 0.7418, decode.d5.loss_cls: 0.2679, decode.d5.loss_mask: 0.5024, decode.d5.loss_dice: 0.7390, decode.d6.loss_cls: 0.2657, decode.d6.loss_mask: 0.5000, decode.d6.loss_dice: 0.7378, decode.d7.loss_cls: 0.2628, decode.d7.loss_mask: 0.4992, decode.d7.loss_dice: 0.7383, decode.d8.loss_cls: 0.2639, decode.d8.loss_mask: 0.5002, decode.d8.loss_dice: 0.7405, loss: 16.3010, grad_norm: 43.8840 2023-11-12 08:21:58,342 - mmseg - INFO - Iter [68450/160000] lr: 5.722e-05, eta: 12:51:15, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2664, decode.loss_mask: 0.5001, decode.loss_dice: 0.7414, decode.d0.loss_cls: 1.2591, decode.d0.loss_mask: 0.5421, decode.d0.loss_dice: 0.8258, decode.d1.loss_cls: 0.3407, decode.d1.loss_mask: 0.5225, decode.d1.loss_dice: 0.7896, decode.d2.loss_cls: 0.3026, decode.d2.loss_mask: 0.5098, decode.d2.loss_dice: 0.7611, decode.d3.loss_cls: 0.2836, decode.d3.loss_mask: 0.5067, decode.d3.loss_dice: 0.7480, decode.d4.loss_cls: 0.2746, decode.d4.loss_mask: 0.5053, decode.d4.loss_dice: 0.7501, decode.d5.loss_cls: 0.2753, decode.d5.loss_mask: 0.5032, decode.d5.loss_dice: 0.7428, decode.d6.loss_cls: 0.2755, decode.d6.loss_mask: 0.5002, decode.d6.loss_dice: 0.7370, decode.d7.loss_cls: 0.2667, decode.d7.loss_mask: 0.4994, decode.d7.loss_dice: 0.7447, decode.d8.loss_cls: 0.2683, decode.d8.loss_mask: 0.5011, decode.d8.loss_dice: 0.7450, loss: 16.4888, grad_norm: 51.8296 2023-11-12 08:22:22,732 - mmseg - INFO - Iter [68500/160000] lr: 5.719e-05, eta: 12:50:48, time: 0.489, data_time: 0.015, memory: 41146, decode.loss_cls: 0.2555, decode.loss_mask: 0.5080, decode.loss_dice: 0.7402, decode.d0.loss_cls: 1.2650, decode.d0.loss_mask: 0.5411, decode.d0.loss_dice: 0.8141, decode.d1.loss_cls: 0.3402, decode.d1.loss_mask: 0.5204, decode.d1.loss_dice: 0.7872, decode.d2.loss_cls: 0.2985, decode.d2.loss_mask: 0.5120, decode.d2.loss_dice: 0.7593, decode.d3.loss_cls: 0.2762, decode.d3.loss_mask: 0.5108, decode.d3.loss_dice: 0.7452, decode.d4.loss_cls: 0.2698, decode.d4.loss_mask: 0.5086, decode.d4.loss_dice: 0.7496, decode.d5.loss_cls: 0.2662, decode.d5.loss_mask: 0.5088, decode.d5.loss_dice: 0.7418, decode.d6.loss_cls: 0.2591, decode.d6.loss_mask: 0.5076, decode.d6.loss_dice: 0.7394, decode.d7.loss_cls: 0.2633, decode.d7.loss_mask: 0.5064, decode.d7.loss_dice: 0.7399, decode.d8.loss_cls: 0.2573, decode.d8.loss_mask: 0.5070, decode.d8.loss_dice: 0.7407, loss: 16.4391, grad_norm: 45.1964 2023-11-12 08:22:46,592 - mmseg - INFO - Iter [68550/160000] lr: 5.716e-05, eta: 12:50:21, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2559, decode.loss_mask: 0.5256, decode.loss_dice: 0.7655, decode.d0.loss_cls: 1.2398, decode.d0.loss_mask: 0.5605, decode.d0.loss_dice: 0.8282, decode.d1.loss_cls: 0.3364, decode.d1.loss_mask: 0.5472, decode.d1.loss_dice: 0.8054, decode.d2.loss_cls: 0.2967, decode.d2.loss_mask: 0.5296, decode.d2.loss_dice: 0.7827, decode.d3.loss_cls: 0.2770, decode.d3.loss_mask: 0.5282, decode.d3.loss_dice: 0.7685, decode.d4.loss_cls: 0.2630, decode.d4.loss_mask: 0.5269, decode.d4.loss_dice: 0.7740, decode.d5.loss_cls: 0.2611, decode.d5.loss_mask: 0.5280, decode.d5.loss_dice: 0.7685, decode.d6.loss_cls: 0.2661, decode.d6.loss_mask: 0.5275, decode.d6.loss_dice: 0.7640, decode.d7.loss_cls: 0.2607, decode.d7.loss_mask: 0.5258, decode.d7.loss_dice: 0.7665, decode.d8.loss_cls: 0.2587, decode.d8.loss_mask: 0.5280, decode.d8.loss_dice: 0.7643, loss: 16.8304, grad_norm: 46.6704 2023-11-12 08:23:10,413 - mmseg - INFO - Iter [68600/160000] lr: 5.713e-05, eta: 12:49:54, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2684, decode.loss_mask: 0.4994, decode.loss_dice: 0.7365, decode.d0.loss_cls: 1.2603, decode.d0.loss_mask: 0.5386, decode.d0.loss_dice: 0.8076, decode.d1.loss_cls: 0.3503, decode.d1.loss_mask: 0.5136, decode.d1.loss_dice: 0.7755, decode.d2.loss_cls: 0.2992, decode.d2.loss_mask: 0.5067, decode.d2.loss_dice: 0.7623, decode.d3.loss_cls: 0.2931, decode.d3.loss_mask: 0.5031, decode.d3.loss_dice: 0.7425, decode.d4.loss_cls: 0.2833, decode.d4.loss_mask: 0.5010, decode.d4.loss_dice: 0.7439, decode.d5.loss_cls: 0.2767, decode.d5.loss_mask: 0.5012, decode.d5.loss_dice: 0.7456, decode.d6.loss_cls: 0.2736, decode.d6.loss_mask: 0.5014, decode.d6.loss_dice: 0.7380, decode.d7.loss_cls: 0.2707, decode.d7.loss_mask: 0.5014, decode.d7.loss_dice: 0.7405, decode.d8.loss_cls: 0.2690, decode.d8.loss_mask: 0.4991, decode.d8.loss_dice: 0.7430, loss: 16.4453, grad_norm: 52.1862 2023-11-12 08:23:34,271 - mmseg - INFO - Iter [68650/160000] lr: 5.709e-05, eta: 12:49:27, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2700, decode.loss_mask: 0.5154, decode.loss_dice: 0.7561, decode.d0.loss_cls: 1.2778, decode.d0.loss_mask: 0.5594, decode.d0.loss_dice: 0.8398, decode.d1.loss_cls: 0.3559, decode.d1.loss_mask: 0.5373, decode.d1.loss_dice: 0.7941, decode.d2.loss_cls: 0.3045, decode.d2.loss_mask: 0.5257, decode.d2.loss_dice: 0.7822, decode.d3.loss_cls: 0.2890, decode.d3.loss_mask: 0.5187, decode.d3.loss_dice: 0.7643, decode.d4.loss_cls: 0.2833, decode.d4.loss_mask: 0.5167, decode.d4.loss_dice: 0.7622, decode.d5.loss_cls: 0.2776, decode.d5.loss_mask: 0.5160, decode.d5.loss_dice: 0.7665, decode.d6.loss_cls: 0.2756, decode.d6.loss_mask: 0.5133, decode.d6.loss_dice: 0.7572, decode.d7.loss_cls: 0.2707, decode.d7.loss_mask: 0.5149, decode.d7.loss_dice: 0.7592, decode.d8.loss_cls: 0.2725, decode.d8.loss_mask: 0.5148, decode.d8.loss_dice: 0.7579, loss: 16.8488, grad_norm: 52.7616 2023-11-12 08:23:58,170 - mmseg - INFO - Iter [68700/160000] lr: 5.706e-05, eta: 12:49:00, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2930, decode.loss_mask: 0.5142, decode.loss_dice: 0.7649, decode.d0.loss_cls: 1.2677, decode.d0.loss_mask: 0.5514, decode.d0.loss_dice: 0.8404, decode.d1.loss_cls: 0.3645, decode.d1.loss_mask: 0.5328, decode.d1.loss_dice: 0.8103, decode.d2.loss_cls: 0.3194, decode.d2.loss_mask: 0.5238, decode.d2.loss_dice: 0.7879, decode.d3.loss_cls: 0.3021, decode.d3.loss_mask: 0.5164, decode.d3.loss_dice: 0.7789, decode.d4.loss_cls: 0.2982, decode.d4.loss_mask: 0.5158, decode.d4.loss_dice: 0.7768, decode.d5.loss_cls: 0.2936, decode.d5.loss_mask: 0.5169, decode.d5.loss_dice: 0.7765, decode.d6.loss_cls: 0.2891, decode.d6.loss_mask: 0.5161, decode.d6.loss_dice: 0.7710, decode.d7.loss_cls: 0.2872, decode.d7.loss_mask: 0.5161, decode.d7.loss_dice: 0.7728, decode.d8.loss_cls: 0.2889, decode.d8.loss_mask: 0.5160, decode.d8.loss_dice: 0.7740, loss: 17.0766, grad_norm: 49.2539 2023-11-12 08:24:21,844 - mmseg - INFO - Iter [68750/160000] lr: 5.703e-05, eta: 12:48:32, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2705, decode.loss_mask: 0.5017, decode.loss_dice: 0.7471, decode.d0.loss_cls: 1.2719, decode.d0.loss_mask: 0.5372, decode.d0.loss_dice: 0.8263, decode.d1.loss_cls: 0.3405, decode.d1.loss_mask: 0.5192, decode.d1.loss_dice: 0.7894, decode.d2.loss_cls: 0.2998, decode.d2.loss_mask: 0.5111, decode.d2.loss_dice: 0.7720, decode.d3.loss_cls: 0.2836, decode.d3.loss_mask: 0.5080, decode.d3.loss_dice: 0.7552, decode.d4.loss_cls: 0.2778, decode.d4.loss_mask: 0.5057, decode.d4.loss_dice: 0.7558, decode.d5.loss_cls: 0.2751, decode.d5.loss_mask: 0.5050, decode.d5.loss_dice: 0.7578, decode.d6.loss_cls: 0.2734, decode.d6.loss_mask: 0.5017, decode.d6.loss_dice: 0.7507, decode.d7.loss_cls: 0.2646, decode.d7.loss_mask: 0.5030, decode.d7.loss_dice: 0.7556, decode.d8.loss_cls: 0.2670, decode.d8.loss_mask: 0.5029, decode.d8.loss_dice: 0.7538, loss: 16.5832, grad_norm: 49.7449 2023-11-12 08:24:46,062 - mmseg - INFO - Iter [68800/160000] lr: 5.700e-05, eta: 12:48:06, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2908, decode.loss_mask: 0.5035, decode.loss_dice: 0.8045, decode.d0.loss_cls: 1.3214, decode.d0.loss_mask: 0.5374, decode.d0.loss_dice: 0.8667, decode.d1.loss_cls: 0.3742, decode.d1.loss_mask: 0.5194, decode.d1.loss_dice: 0.8437, decode.d2.loss_cls: 0.3221, decode.d2.loss_mask: 0.5099, decode.d2.loss_dice: 0.8221, decode.d3.loss_cls: 0.3130, decode.d3.loss_mask: 0.5053, decode.d3.loss_dice: 0.8071, decode.d4.loss_cls: 0.3047, decode.d4.loss_mask: 0.5042, decode.d4.loss_dice: 0.8083, decode.d5.loss_cls: 0.3017, decode.d5.loss_mask: 0.5048, decode.d5.loss_dice: 0.8059, decode.d6.loss_cls: 0.3014, decode.d6.loss_mask: 0.5038, decode.d6.loss_dice: 0.7999, decode.d7.loss_cls: 0.2964, decode.d7.loss_mask: 0.5049, decode.d7.loss_dice: 0.8029, decode.d8.loss_cls: 0.2951, decode.d8.loss_mask: 0.5030, decode.d8.loss_dice: 0.8056, loss: 17.3838, grad_norm: 46.1927 2023-11-12 08:25:10,144 - mmseg - INFO - Iter [68850/160000] lr: 5.697e-05, eta: 12:47:39, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2823, decode.loss_mask: 0.5092, decode.loss_dice: 0.7581, decode.d0.loss_cls: 1.3161, decode.d0.loss_mask: 0.5418, decode.d0.loss_dice: 0.8330, decode.d1.loss_cls: 0.3488, decode.d1.loss_mask: 0.5250, decode.d1.loss_dice: 0.8089, decode.d2.loss_cls: 0.3127, decode.d2.loss_mask: 0.5141, decode.d2.loss_dice: 0.7863, decode.d3.loss_cls: 0.2963, decode.d3.loss_mask: 0.5122, decode.d3.loss_dice: 0.7653, decode.d4.loss_cls: 0.2909, decode.d4.loss_mask: 0.5110, decode.d4.loss_dice: 0.7631, decode.d5.loss_cls: 0.2813, decode.d5.loss_mask: 0.5085, decode.d5.loss_dice: 0.7622, decode.d6.loss_cls: 0.2812, decode.d6.loss_mask: 0.5080, decode.d6.loss_dice: 0.7589, decode.d7.loss_cls: 0.2803, decode.d7.loss_mask: 0.5096, decode.d7.loss_dice: 0.7572, decode.d8.loss_cls: 0.2834, decode.d8.loss_mask: 0.5092, decode.d8.loss_dice: 0.7588, loss: 16.8736, grad_norm: 46.4792 2023-11-12 08:25:34,593 - mmseg - INFO - Iter [68900/160000] lr: 5.694e-05, eta: 12:47:13, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2545, decode.loss_mask: 0.4890, decode.loss_dice: 0.7361, decode.d0.loss_cls: 1.2882, decode.d0.loss_mask: 0.5195, decode.d0.loss_dice: 0.8106, decode.d1.loss_cls: 0.3369, decode.d1.loss_mask: 0.5045, decode.d1.loss_dice: 0.7787, decode.d2.loss_cls: 0.2851, decode.d2.loss_mask: 0.4973, decode.d2.loss_dice: 0.7643, decode.d3.loss_cls: 0.2769, decode.d3.loss_mask: 0.4885, decode.d3.loss_dice: 0.7430, decode.d4.loss_cls: 0.2633, decode.d4.loss_mask: 0.4886, decode.d4.loss_dice: 0.7474, decode.d5.loss_cls: 0.2605, decode.d5.loss_mask: 0.4885, decode.d5.loss_dice: 0.7462, decode.d6.loss_cls: 0.2616, decode.d6.loss_mask: 0.4864, decode.d6.loss_dice: 0.7368, decode.d7.loss_cls: 0.2587, decode.d7.loss_mask: 0.4859, decode.d7.loss_dice: 0.7407, decode.d8.loss_cls: 0.2602, decode.d8.loss_mask: 0.4862, decode.d8.loss_dice: 0.7374, loss: 16.2214, grad_norm: 45.0066 2023-11-12 08:25:58,501 - mmseg - INFO - Iter [68950/160000] lr: 5.691e-05, eta: 12:46:46, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2708, decode.loss_mask: 0.5041, decode.loss_dice: 0.7582, decode.d0.loss_cls: 1.2626, decode.d0.loss_mask: 0.5342, decode.d0.loss_dice: 0.8233, decode.d1.loss_cls: 0.3408, decode.d1.loss_mask: 0.5187, decode.d1.loss_dice: 0.8034, decode.d2.loss_cls: 0.3080, decode.d2.loss_mask: 0.5109, decode.d2.loss_dice: 0.7753, decode.d3.loss_cls: 0.2942, decode.d3.loss_mask: 0.5030, decode.d3.loss_dice: 0.7634, decode.d4.loss_cls: 0.2912, decode.d4.loss_mask: 0.5055, decode.d4.loss_dice: 0.7630, decode.d5.loss_cls: 0.2752, decode.d5.loss_mask: 0.5065, decode.d5.loss_dice: 0.7598, decode.d6.loss_cls: 0.2796, decode.d6.loss_mask: 0.5037, decode.d6.loss_dice: 0.7537, decode.d7.loss_cls: 0.2729, decode.d7.loss_mask: 0.5072, decode.d7.loss_dice: 0.7605, decode.d8.loss_cls: 0.2719, decode.d8.loss_mask: 0.5028, decode.d8.loss_dice: 0.7555, loss: 16.6798, grad_norm: 47.8190 2023-11-12 08:26:22,429 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 08:26:22,430 - mmseg - INFO - Iter [69000/160000] lr: 5.688e-05, eta: 12:46:19, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2832, decode.loss_mask: 0.4865, decode.loss_dice: 0.7467, decode.d0.loss_cls: 1.2638, decode.d0.loss_mask: 0.5249, decode.d0.loss_dice: 0.8280, decode.d1.loss_cls: 0.3537, decode.d1.loss_mask: 0.5058, decode.d1.loss_dice: 0.7917, decode.d2.loss_cls: 0.3184, decode.d2.loss_mask: 0.4931, decode.d2.loss_dice: 0.7637, decode.d3.loss_cls: 0.2974, decode.d3.loss_mask: 0.4886, decode.d3.loss_dice: 0.7525, decode.d4.loss_cls: 0.2891, decode.d4.loss_mask: 0.4867, decode.d4.loss_dice: 0.7512, decode.d5.loss_cls: 0.2828, decode.d5.loss_mask: 0.4863, decode.d5.loss_dice: 0.7509, decode.d6.loss_cls: 0.2851, decode.d6.loss_mask: 0.4866, decode.d6.loss_dice: 0.7446, decode.d7.loss_cls: 0.2822, decode.d7.loss_mask: 0.4852, decode.d7.loss_dice: 0.7437, decode.d8.loss_cls: 0.2818, decode.d8.loss_mask: 0.4868, decode.d8.loss_dice: 0.7438, loss: 16.4846, grad_norm: 43.8159 2023-11-12 08:26:46,344 - mmseg - INFO - Iter [69050/160000] lr: 5.684e-05, eta: 12:45:51, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2647, decode.loss_mask: 0.5161, decode.loss_dice: 0.7547, decode.d0.loss_cls: 1.2702, decode.d0.loss_mask: 0.5544, decode.d0.loss_dice: 0.8259, decode.d1.loss_cls: 0.3426, decode.d1.loss_mask: 0.5392, decode.d1.loss_dice: 0.7971, decode.d2.loss_cls: 0.3002, decode.d2.loss_mask: 0.5258, decode.d2.loss_dice: 0.7734, decode.d3.loss_cls: 0.2818, decode.d3.loss_mask: 0.5208, decode.d3.loss_dice: 0.7653, decode.d4.loss_cls: 0.2729, decode.d4.loss_mask: 0.5180, decode.d4.loss_dice: 0.7617, decode.d5.loss_cls: 0.2751, decode.d5.loss_mask: 0.5188, decode.d5.loss_dice: 0.7583, decode.d6.loss_cls: 0.2689, decode.d6.loss_mask: 0.5180, decode.d6.loss_dice: 0.7537, decode.d7.loss_cls: 0.2693, decode.d7.loss_mask: 0.5167, decode.d7.loss_dice: 0.7544, decode.d8.loss_cls: 0.2626, decode.d8.loss_mask: 0.5167, decode.d8.loss_dice: 0.7533, loss: 16.7507, grad_norm: 52.4026 2023-11-12 08:27:10,314 - mmseg - INFO - Iter [69100/160000] lr: 5.681e-05, eta: 12:45:25, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2681, decode.loss_mask: 0.4792, decode.loss_dice: 0.7378, decode.d0.loss_cls: 1.2790, decode.d0.loss_mask: 0.5111, decode.d0.loss_dice: 0.8057, decode.d1.loss_cls: 0.3642, decode.d1.loss_mask: 0.4938, decode.d1.loss_dice: 0.7786, decode.d2.loss_cls: 0.3145, decode.d2.loss_mask: 0.4849, decode.d2.loss_dice: 0.7612, decode.d3.loss_cls: 0.2895, decode.d3.loss_mask: 0.4807, decode.d3.loss_dice: 0.7442, decode.d4.loss_cls: 0.2872, decode.d4.loss_mask: 0.4797, decode.d4.loss_dice: 0.7452, decode.d5.loss_cls: 0.2778, decode.d5.loss_mask: 0.4806, decode.d5.loss_dice: 0.7445, decode.d6.loss_cls: 0.2765, decode.d6.loss_mask: 0.4781, decode.d6.loss_dice: 0.7366, decode.d7.loss_cls: 0.2732, decode.d7.loss_mask: 0.4780, decode.d7.loss_dice: 0.7395, decode.d8.loss_cls: 0.2716, decode.d8.loss_mask: 0.4764, decode.d8.loss_dice: 0.7391, loss: 16.2764, grad_norm: 44.9554 2023-11-12 08:27:34,135 - mmseg - INFO - Iter [69150/160000] lr: 5.678e-05, eta: 12:44:57, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2732, decode.loss_mask: 0.5035, decode.loss_dice: 0.7628, decode.d0.loss_cls: 1.2828, decode.d0.loss_mask: 0.5317, decode.d0.loss_dice: 0.8356, decode.d1.loss_cls: 0.3475, decode.d1.loss_mask: 0.5207, decode.d1.loss_dice: 0.8026, decode.d2.loss_cls: 0.2977, decode.d2.loss_mask: 0.5119, decode.d2.loss_dice: 0.7784, decode.d3.loss_cls: 0.2923, decode.d3.loss_mask: 0.5059, decode.d3.loss_dice: 0.7649, decode.d4.loss_cls: 0.2836, decode.d4.loss_mask: 0.5054, decode.d4.loss_dice: 0.7699, decode.d5.loss_cls: 0.2768, decode.d5.loss_mask: 0.5058, decode.d5.loss_dice: 0.7695, decode.d6.loss_cls: 0.2786, decode.d6.loss_mask: 0.5055, decode.d6.loss_dice: 0.7633, decode.d7.loss_cls: 0.2730, decode.d7.loss_mask: 0.5069, decode.d7.loss_dice: 0.7684, decode.d8.loss_cls: 0.2723, decode.d8.loss_mask: 0.5064, decode.d8.loss_dice: 0.7650, loss: 16.7618, grad_norm: 48.3550 2023-11-12 08:27:58,137 - mmseg - INFO - Iter [69200/160000] lr: 5.675e-05, eta: 12:44:30, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2718, decode.loss_mask: 0.5075, decode.loss_dice: 0.7690, decode.d0.loss_cls: 1.2733, decode.d0.loss_mask: 0.5449, decode.d0.loss_dice: 0.8540, decode.d1.loss_cls: 0.3452, decode.d1.loss_mask: 0.5298, decode.d1.loss_dice: 0.8160, decode.d2.loss_cls: 0.2975, decode.d2.loss_mask: 0.5187, decode.d2.loss_dice: 0.7935, decode.d3.loss_cls: 0.2887, decode.d3.loss_mask: 0.5101, decode.d3.loss_dice: 0.7783, decode.d4.loss_cls: 0.2756, decode.d4.loss_mask: 0.5111, decode.d4.loss_dice: 0.7770, decode.d5.loss_cls: 0.2734, decode.d5.loss_mask: 0.5100, decode.d5.loss_dice: 0.7737, decode.d6.loss_cls: 0.2725, decode.d6.loss_mask: 0.5085, decode.d6.loss_dice: 0.7702, decode.d7.loss_cls: 0.2706, decode.d7.loss_mask: 0.5083, decode.d7.loss_dice: 0.7685, decode.d8.loss_cls: 0.2689, decode.d8.loss_mask: 0.5088, decode.d8.loss_dice: 0.7692, loss: 16.8650, grad_norm: 50.4560 2023-11-12 08:28:22,038 - mmseg - INFO - Iter [69250/160000] lr: 5.672e-05, eta: 12:44:03, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2822, decode.loss_mask: 0.5201, decode.loss_dice: 0.7894, decode.d0.loss_cls: 1.2786, decode.d0.loss_mask: 0.5612, decode.d0.loss_dice: 0.8671, decode.d1.loss_cls: 0.3526, decode.d1.loss_mask: 0.5358, decode.d1.loss_dice: 0.8347, decode.d2.loss_cls: 0.3169, decode.d2.loss_mask: 0.5253, decode.d2.loss_dice: 0.8111, decode.d3.loss_cls: 0.3017, decode.d3.loss_mask: 0.5233, decode.d3.loss_dice: 0.7955, decode.d4.loss_cls: 0.2901, decode.d4.loss_mask: 0.5232, decode.d4.loss_dice: 0.7970, decode.d5.loss_cls: 0.2860, decode.d5.loss_mask: 0.5222, decode.d5.loss_dice: 0.7996, decode.d6.loss_cls: 0.2886, decode.d6.loss_mask: 0.5209, decode.d6.loss_dice: 0.7872, decode.d7.loss_cls: 0.2826, decode.d7.loss_mask: 0.5197, decode.d7.loss_dice: 0.7918, decode.d8.loss_cls: 0.2835, decode.d8.loss_mask: 0.5222, decode.d8.loss_dice: 0.7956, loss: 17.3057, grad_norm: 47.5448 2023-11-12 08:28:46,120 - mmseg - INFO - Iter [69300/160000] lr: 5.669e-05, eta: 12:43:37, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2610, decode.loss_mask: 0.4930, decode.loss_dice: 0.7495, decode.d0.loss_cls: 1.2743, decode.d0.loss_mask: 0.5261, decode.d0.loss_dice: 0.8217, decode.d1.loss_cls: 0.3371, decode.d1.loss_mask: 0.5107, decode.d1.loss_dice: 0.7907, decode.d2.loss_cls: 0.3016, decode.d2.loss_mask: 0.4981, decode.d2.loss_dice: 0.7712, decode.d3.loss_cls: 0.2779, decode.d3.loss_mask: 0.4989, decode.d3.loss_dice: 0.7538, decode.d4.loss_cls: 0.2699, decode.d4.loss_mask: 0.4959, decode.d4.loss_dice: 0.7513, decode.d5.loss_cls: 0.2668, decode.d5.loss_mask: 0.4945, decode.d5.loss_dice: 0.7524, decode.d6.loss_cls: 0.2673, decode.d6.loss_mask: 0.4923, decode.d6.loss_dice: 0.7502, decode.d7.loss_cls: 0.2619, decode.d7.loss_mask: 0.4926, decode.d7.loss_dice: 0.7466, decode.d8.loss_cls: 0.2638, decode.d8.loss_mask: 0.4935, decode.d8.loss_dice: 0.7465, loss: 16.4113, grad_norm: 45.0111 2023-11-12 08:29:10,185 - mmseg - INFO - Iter [69350/160000] lr: 5.666e-05, eta: 12:43:10, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2470, decode.loss_mask: 0.4890, decode.loss_dice: 0.7277, decode.d0.loss_cls: 1.2426, decode.d0.loss_mask: 0.5224, decode.d0.loss_dice: 0.8011, decode.d1.loss_cls: 0.3136, decode.d1.loss_mask: 0.5088, decode.d1.loss_dice: 0.7707, decode.d2.loss_cls: 0.2768, decode.d2.loss_mask: 0.4998, decode.d2.loss_dice: 0.7467, decode.d3.loss_cls: 0.2631, decode.d3.loss_mask: 0.4926, decode.d3.loss_dice: 0.7365, decode.d4.loss_cls: 0.2616, decode.d4.loss_mask: 0.4921, decode.d4.loss_dice: 0.7335, decode.d5.loss_cls: 0.2504, decode.d5.loss_mask: 0.4914, decode.d5.loss_dice: 0.7286, decode.d6.loss_cls: 0.2538, decode.d6.loss_mask: 0.4883, decode.d6.loss_dice: 0.7268, decode.d7.loss_cls: 0.2500, decode.d7.loss_mask: 0.4890, decode.d7.loss_dice: 0.7298, decode.d8.loss_cls: 0.2481, decode.d8.loss_mask: 0.4901, decode.d8.loss_dice: 0.7270, loss: 15.9988, grad_norm: 46.0357 2023-11-12 08:29:34,004 - mmseg - INFO - Iter [69400/160000] lr: 5.663e-05, eta: 12:42:43, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2770, decode.loss_mask: 0.5073, decode.loss_dice: 0.7498, decode.d0.loss_cls: 1.2946, decode.d0.loss_mask: 0.5450, decode.d0.loss_dice: 0.8178, decode.d1.loss_cls: 0.3752, decode.d1.loss_mask: 0.5286, decode.d1.loss_dice: 0.7910, decode.d2.loss_cls: 0.3215, decode.d2.loss_mask: 0.5164, decode.d2.loss_dice: 0.7681, decode.d3.loss_cls: 0.3018, decode.d3.loss_mask: 0.5098, decode.d3.loss_dice: 0.7485, decode.d4.loss_cls: 0.2897, decode.d4.loss_mask: 0.5095, decode.d4.loss_dice: 0.7511, decode.d5.loss_cls: 0.2823, decode.d5.loss_mask: 0.5087, decode.d5.loss_dice: 0.7524, decode.d6.loss_cls: 0.2798, decode.d6.loss_mask: 0.5066, decode.d6.loss_dice: 0.7451, decode.d7.loss_cls: 0.2822, decode.d7.loss_mask: 0.5051, decode.d7.loss_dice: 0.7394, decode.d8.loss_cls: 0.2770, decode.d8.loss_mask: 0.5079, decode.d8.loss_dice: 0.7488, loss: 16.7380, grad_norm: 48.2459 2023-11-12 08:29:57,917 - mmseg - INFO - Iter [69450/160000] lr: 5.659e-05, eta: 12:42:16, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2684, decode.loss_mask: 0.4958, decode.loss_dice: 0.7395, decode.d0.loss_cls: 1.2570, decode.d0.loss_mask: 0.5281, decode.d0.loss_dice: 0.8089, decode.d1.loss_cls: 0.3458, decode.d1.loss_mask: 0.5112, decode.d1.loss_dice: 0.7731, decode.d2.loss_cls: 0.3061, decode.d2.loss_mask: 0.5024, decode.d2.loss_dice: 0.7656, decode.d3.loss_cls: 0.2855, decode.d3.loss_mask: 0.4994, decode.d3.loss_dice: 0.7457, decode.d4.loss_cls: 0.2768, decode.d4.loss_mask: 0.4971, decode.d4.loss_dice: 0.7444, decode.d5.loss_cls: 0.2777, decode.d5.loss_mask: 0.4989, decode.d5.loss_dice: 0.7433, decode.d6.loss_cls: 0.2719, decode.d6.loss_mask: 0.4968, decode.d6.loss_dice: 0.7378, decode.d7.loss_cls: 0.2665, decode.d7.loss_mask: 0.4982, decode.d7.loss_dice: 0.7354, decode.d8.loss_cls: 0.2647, decode.d8.loss_mask: 0.4977, decode.d8.loss_dice: 0.7386, loss: 16.3786, grad_norm: 48.2254 2023-11-12 08:30:24,142 - mmseg - INFO - Iter [69500/160000] lr: 5.656e-05, eta: 12:41:52, time: 0.524, data_time: 0.057, memory: 41146, decode.loss_cls: 0.2749, decode.loss_mask: 0.5194, decode.loss_dice: 0.7778, decode.d0.loss_cls: 1.2790, decode.d0.loss_mask: 0.5605, decode.d0.loss_dice: 0.8571, decode.d1.loss_cls: 0.3561, decode.d1.loss_mask: 0.5389, decode.d1.loss_dice: 0.8247, decode.d2.loss_cls: 0.3107, decode.d2.loss_mask: 0.5297, decode.d2.loss_dice: 0.7992, decode.d3.loss_cls: 0.2984, decode.d3.loss_mask: 0.5233, decode.d3.loss_dice: 0.7836, decode.d4.loss_cls: 0.2886, decode.d4.loss_mask: 0.5194, decode.d4.loss_dice: 0.7817, decode.d5.loss_cls: 0.2801, decode.d5.loss_mask: 0.5194, decode.d5.loss_dice: 0.7786, decode.d6.loss_cls: 0.2748, decode.d6.loss_mask: 0.5195, decode.d6.loss_dice: 0.7776, decode.d7.loss_cls: 0.2758, decode.d7.loss_mask: 0.5199, decode.d7.loss_dice: 0.7754, decode.d8.loss_cls: 0.2718, decode.d8.loss_mask: 0.5208, decode.d8.loss_dice: 0.7764, loss: 17.1129, grad_norm: 47.6835 2023-11-12 08:30:48,044 - mmseg - INFO - Iter [69550/160000] lr: 5.653e-05, eta: 12:41:25, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2301, decode.loss_mask: 0.5045, decode.loss_dice: 0.7220, decode.d0.loss_cls: 1.2090, decode.d0.loss_mask: 0.5376, decode.d0.loss_dice: 0.7851, decode.d1.loss_cls: 0.2973, decode.d1.loss_mask: 0.5221, decode.d1.loss_dice: 0.7618, decode.d2.loss_cls: 0.2655, decode.d2.loss_mask: 0.5103, decode.d2.loss_dice: 0.7426, decode.d3.loss_cls: 0.2490, decode.d3.loss_mask: 0.5056, decode.d3.loss_dice: 0.7295, decode.d4.loss_cls: 0.2355, decode.d4.loss_mask: 0.5076, decode.d4.loss_dice: 0.7305, decode.d5.loss_cls: 0.2363, decode.d5.loss_mask: 0.5070, decode.d5.loss_dice: 0.7285, decode.d6.loss_cls: 0.2354, decode.d6.loss_mask: 0.5048, decode.d6.loss_dice: 0.7220, decode.d7.loss_cls: 0.2299, decode.d7.loss_mask: 0.5054, decode.d7.loss_dice: 0.7215, decode.d8.loss_cls: 0.2299, decode.d8.loss_mask: 0.5066, decode.d8.loss_dice: 0.7278, loss: 15.9010, grad_norm: 46.0139 2023-11-12 08:31:12,066 - mmseg - INFO - Iter [69600/160000] lr: 5.650e-05, eta: 12:40:58, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2678, decode.loss_mask: 0.4939, decode.loss_dice: 0.7285, decode.d0.loss_cls: 1.2745, decode.d0.loss_mask: 0.5261, decode.d0.loss_dice: 0.8106, decode.d1.loss_cls: 0.3491, decode.d1.loss_mask: 0.5121, decode.d1.loss_dice: 0.7730, decode.d2.loss_cls: 0.3042, decode.d2.loss_mask: 0.5023, decode.d2.loss_dice: 0.7561, decode.d3.loss_cls: 0.2877, decode.d3.loss_mask: 0.4953, decode.d3.loss_dice: 0.7426, decode.d4.loss_cls: 0.2815, decode.d4.loss_mask: 0.4960, decode.d4.loss_dice: 0.7401, decode.d5.loss_cls: 0.2791, decode.d5.loss_mask: 0.4926, decode.d5.loss_dice: 0.7361, decode.d6.loss_cls: 0.2750, decode.d6.loss_mask: 0.4922, decode.d6.loss_dice: 0.7296, decode.d7.loss_cls: 0.2729, decode.d7.loss_mask: 0.4937, decode.d7.loss_dice: 0.7314, decode.d8.loss_cls: 0.2664, decode.d8.loss_mask: 0.4934, decode.d8.loss_dice: 0.7328, loss: 16.3366, grad_norm: 44.8534 2023-11-12 08:31:36,025 - mmseg - INFO - Iter [69650/160000] lr: 5.647e-05, eta: 12:40:31, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2730, decode.loss_mask: 0.5146, decode.loss_dice: 0.7395, decode.d0.loss_cls: 1.2685, decode.d0.loss_mask: 0.5562, decode.d0.loss_dice: 0.8160, decode.d1.loss_cls: 0.3539, decode.d1.loss_mask: 0.5290, decode.d1.loss_dice: 0.7814, decode.d2.loss_cls: 0.3062, decode.d2.loss_mask: 0.5224, decode.d2.loss_dice: 0.7615, decode.d3.loss_cls: 0.2925, decode.d3.loss_mask: 0.5191, decode.d3.loss_dice: 0.7491, decode.d4.loss_cls: 0.2850, decode.d4.loss_mask: 0.5161, decode.d4.loss_dice: 0.7448, decode.d5.loss_cls: 0.2781, decode.d5.loss_mask: 0.5162, decode.d5.loss_dice: 0.7507, decode.d6.loss_cls: 0.2790, decode.d6.loss_mask: 0.5165, decode.d6.loss_dice: 0.7427, decode.d7.loss_cls: 0.2695, decode.d7.loss_mask: 0.5155, decode.d7.loss_dice: 0.7403, decode.d8.loss_cls: 0.2678, decode.d8.loss_mask: 0.5164, decode.d8.loss_dice: 0.7414, loss: 16.6629, grad_norm: 49.6820 2023-11-12 08:32:00,280 - mmseg - INFO - Iter [69700/160000] lr: 5.644e-05, eta: 12:40:04, time: 0.485, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2631, decode.loss_mask: 0.4978, decode.loss_dice: 0.7532, decode.d0.loss_cls: 1.2635, decode.d0.loss_mask: 0.5334, decode.d0.loss_dice: 0.8264, decode.d1.loss_cls: 0.3337, decode.d1.loss_mask: 0.5157, decode.d1.loss_dice: 0.7937, decode.d2.loss_cls: 0.2913, decode.d2.loss_mask: 0.5046, decode.d2.loss_dice: 0.7775, decode.d3.loss_cls: 0.2822, decode.d3.loss_mask: 0.5002, decode.d3.loss_dice: 0.7575, decode.d4.loss_cls: 0.2747, decode.d4.loss_mask: 0.5003, decode.d4.loss_dice: 0.7589, decode.d5.loss_cls: 0.2718, decode.d5.loss_mask: 0.4991, decode.d5.loss_dice: 0.7579, decode.d6.loss_cls: 0.2644, decode.d6.loss_mask: 0.4997, decode.d6.loss_dice: 0.7534, decode.d7.loss_cls: 0.2659, decode.d7.loss_mask: 0.4982, decode.d7.loss_dice: 0.7512, decode.d8.loss_cls: 0.2595, decode.d8.loss_mask: 0.4999, decode.d8.loss_dice: 0.7597, loss: 16.5083, grad_norm: 43.8532 2023-11-12 08:32:24,271 - mmseg - INFO - Iter [69750/160000] lr: 5.641e-05, eta: 12:39:37, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2546, decode.loss_mask: 0.5051, decode.loss_dice: 0.7517, decode.d0.loss_cls: 1.2789, decode.d0.loss_mask: 0.5362, decode.d0.loss_dice: 0.8179, decode.d1.loss_cls: 0.3355, decode.d1.loss_mask: 0.5184, decode.d1.loss_dice: 0.7882, decode.d2.loss_cls: 0.2884, decode.d2.loss_mask: 0.5100, decode.d2.loss_dice: 0.7673, decode.d3.loss_cls: 0.2758, decode.d3.loss_mask: 0.5040, decode.d3.loss_dice: 0.7520, decode.d4.loss_cls: 0.2659, decode.d4.loss_mask: 0.5046, decode.d4.loss_dice: 0.7508, decode.d5.loss_cls: 0.2630, decode.d5.loss_mask: 0.5046, decode.d5.loss_dice: 0.7488, decode.d6.loss_cls: 0.2582, decode.d6.loss_mask: 0.5043, decode.d6.loss_dice: 0.7453, decode.d7.loss_cls: 0.2557, decode.d7.loss_mask: 0.5045, decode.d7.loss_dice: 0.7456, decode.d8.loss_cls: 0.2521, decode.d8.loss_mask: 0.5060, decode.d8.loss_dice: 0.7485, loss: 16.4421, grad_norm: 51.3256 2023-11-12 08:32:48,283 - mmseg - INFO - Iter [69800/160000] lr: 5.638e-05, eta: 12:39:11, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2744, decode.loss_mask: 0.5212, decode.loss_dice: 0.7790, decode.d0.loss_cls: 1.2783, decode.d0.loss_mask: 0.5570, decode.d0.loss_dice: 0.8568, decode.d1.loss_cls: 0.3554, decode.d1.loss_mask: 0.5418, decode.d1.loss_dice: 0.8254, decode.d2.loss_cls: 0.3093, decode.d2.loss_mask: 0.5327, decode.d2.loss_dice: 0.8020, decode.d3.loss_cls: 0.2973, decode.d3.loss_mask: 0.5251, decode.d3.loss_dice: 0.7894, decode.d4.loss_cls: 0.2936, decode.d4.loss_mask: 0.5212, decode.d4.loss_dice: 0.7848, decode.d5.loss_cls: 0.2818, decode.d5.loss_mask: 0.5225, decode.d5.loss_dice: 0.7828, decode.d6.loss_cls: 0.2832, decode.d6.loss_mask: 0.5230, decode.d6.loss_dice: 0.7765, decode.d7.loss_cls: 0.2809, decode.d7.loss_mask: 0.5184, decode.d7.loss_dice: 0.7754, decode.d8.loss_cls: 0.2770, decode.d8.loss_mask: 0.5205, decode.d8.loss_dice: 0.7797, loss: 17.1663, grad_norm: 47.6017 2023-11-12 08:33:12,015 - mmseg - INFO - Iter [69850/160000] lr: 5.634e-05, eta: 12:38:43, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2868, decode.loss_mask: 0.5072, decode.loss_dice: 0.7548, decode.d0.loss_cls: 1.2837, decode.d0.loss_mask: 0.5457, decode.d0.loss_dice: 0.8297, decode.d1.loss_cls: 0.3647, decode.d1.loss_mask: 0.5212, decode.d1.loss_dice: 0.7953, decode.d2.loss_cls: 0.3220, decode.d2.loss_mask: 0.5134, decode.d2.loss_dice: 0.7752, decode.d3.loss_cls: 0.3095, decode.d3.loss_mask: 0.5086, decode.d3.loss_dice: 0.7600, decode.d4.loss_cls: 0.2986, decode.d4.loss_mask: 0.5079, decode.d4.loss_dice: 0.7585, decode.d5.loss_cls: 0.2941, decode.d5.loss_mask: 0.5069, decode.d5.loss_dice: 0.7568, decode.d6.loss_cls: 0.2855, decode.d6.loss_mask: 0.5081, decode.d6.loss_dice: 0.7525, decode.d7.loss_cls: 0.2892, decode.d7.loss_mask: 0.5070, decode.d7.loss_dice: 0.7540, decode.d8.loss_cls: 0.2879, decode.d8.loss_mask: 0.5067, decode.d8.loss_dice: 0.7570, loss: 16.8490, grad_norm: 47.3501 2023-11-12 08:33:35,898 - mmseg - INFO - Iter [69900/160000] lr: 5.631e-05, eta: 12:38:16, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2620, decode.loss_mask: 0.5111, decode.loss_dice: 0.7765, decode.d0.loss_cls: 1.2368, decode.d0.loss_mask: 0.5471, decode.d0.loss_dice: 0.8509, decode.d1.loss_cls: 0.3311, decode.d1.loss_mask: 0.5301, decode.d1.loss_dice: 0.8235, decode.d2.loss_cls: 0.2879, decode.d2.loss_mask: 0.5193, decode.d2.loss_dice: 0.8045, decode.d3.loss_cls: 0.2782, decode.d3.loss_mask: 0.5156, decode.d3.loss_dice: 0.7845, decode.d4.loss_cls: 0.2751, decode.d4.loss_mask: 0.5158, decode.d4.loss_dice: 0.7852, decode.d5.loss_cls: 0.2686, decode.d5.loss_mask: 0.5155, decode.d5.loss_dice: 0.7787, decode.d6.loss_cls: 0.2638, decode.d6.loss_mask: 0.5157, decode.d6.loss_dice: 0.7810, decode.d7.loss_cls: 0.2582, decode.d7.loss_mask: 0.5127, decode.d7.loss_dice: 0.7799, decode.d8.loss_cls: 0.2573, decode.d8.loss_mask: 0.5143, decode.d8.loss_dice: 0.7802, loss: 16.8612, grad_norm: 51.4432 2023-11-12 08:33:59,739 - mmseg - INFO - Iter [69950/160000] lr: 5.628e-05, eta: 12:37:49, time: 0.477, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2659, decode.loss_mask: 0.4935, decode.loss_dice: 0.7424, decode.d0.loss_cls: 1.2924, decode.d0.loss_mask: 0.5283, decode.d0.loss_dice: 0.8055, decode.d1.loss_cls: 0.3453, decode.d1.loss_mask: 0.5069, decode.d1.loss_dice: 0.7824, decode.d2.loss_cls: 0.3039, decode.d2.loss_mask: 0.4999, decode.d2.loss_dice: 0.7640, decode.d3.loss_cls: 0.2894, decode.d3.loss_mask: 0.4926, decode.d3.loss_dice: 0.7489, decode.d4.loss_cls: 0.2783, decode.d4.loss_mask: 0.4928, decode.d4.loss_dice: 0.7485, decode.d5.loss_cls: 0.2703, decode.d5.loss_mask: 0.4933, decode.d5.loss_dice: 0.7451, decode.d6.loss_cls: 0.2704, decode.d6.loss_mask: 0.4927, decode.d6.loss_dice: 0.7390, decode.d7.loss_cls: 0.2734, decode.d7.loss_mask: 0.4925, decode.d7.loss_dice: 0.7425, decode.d8.loss_cls: 0.2663, decode.d8.loss_mask: 0.4951, decode.d8.loss_dice: 0.7454, loss: 16.4069, grad_norm: 48.9530 2023-11-12 08:34:23,663 - mmseg - INFO - Saving checkpoint at 70000 iterations 2023-11-12 08:34:27,449 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 08:34:27,449 - mmseg - INFO - Iter [70000/160000] lr: 5.625e-05, eta: 12:37:27, time: 0.554, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2672, decode.loss_mask: 0.5101, decode.loss_dice: 0.7669, decode.d0.loss_cls: 1.2658, decode.d0.loss_mask: 0.5420, decode.d0.loss_dice: 0.8441, decode.d1.loss_cls: 0.3431, decode.d1.loss_mask: 0.5290, decode.d1.loss_dice: 0.8093, decode.d2.loss_cls: 0.3050, decode.d2.loss_mask: 0.5175, decode.d2.loss_dice: 0.7908, decode.d3.loss_cls: 0.2898, decode.d3.loss_mask: 0.5130, decode.d3.loss_dice: 0.7730, decode.d4.loss_cls: 0.2804, decode.d4.loss_mask: 0.5104, decode.d4.loss_dice: 0.7781, decode.d5.loss_cls: 0.2816, decode.d5.loss_mask: 0.5099, decode.d5.loss_dice: 0.7720, decode.d6.loss_cls: 0.2711, decode.d6.loss_mask: 0.5080, decode.d6.loss_dice: 0.7635, decode.d7.loss_cls: 0.2733, decode.d7.loss_mask: 0.5089, decode.d7.loss_dice: 0.7651, decode.d8.loss_cls: 0.2676, decode.d8.loss_mask: 0.5096, decode.d8.loss_dice: 0.7639, loss: 16.8301, grad_norm: 49.9389 2023-11-12 08:34:46,902 - mmseg - INFO - per class results: 2023-11-12 08:34:46,907 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.48 | 87.62 | | building | 81.78 | 90.44 | | sky | 94.33 | 97.0 | | floor | 83.2 | 89.64 | | tree | 75.31 | 86.5 | | ceiling | 84.94 | 92.02 | | road | 84.9 | 90.81 | | bed | 90.68 | 96.17 | | windowpane | 62.69 | 76.56 | | grass | 64.9 | 73.33 | | cabinet | 68.21 | 83.72 | | sidewalk | 68.86 | 81.36 | | person | 84.69 | 92.73 | | earth | 38.56 | 62.64 | | door | 50.05 | 68.54 | | table | 64.92 | 80.76 | | mountain | 63.06 | 71.35 | | plant | 53.71 | 69.53 | | curtain | 79.88 | 87.04 | | chair | 62.19 | 73.41 | | car | 86.72 | 93.46 | | water | 50.37 | 57.86 | | painting | 74.85 | 87.41 | | sofa | 70.74 | 85.95 | | shelf | 43.45 | 55.53 | | house | 39.72 | 68.56 | | sea | 65.31 | 90.65 | | mirror | 70.98 | 83.83 | | rug | 63.91 | 74.34 | | field | 25.13 | 44.96 | | armchair | 50.07 | 67.84 | | seat | 60.13 | 84.67 | | fence | 48.62 | 67.21 | | desk | 50.88 | 76.32 | | rock | 49.29 | 79.49 | | wardrobe | 47.84 | 57.11 | | lamp | 69.61 | 82.38 | | bathtub | 74.72 | 85.56 | | railing | 32.75 | 53.75 | | cushion | 64.26 | 79.24 | | base | 35.38 | 75.5 | | box | 27.24 | 47.1 | | column | 39.3 | 48.12 | | signboard | 38.19 | 57.96 | | chest of drawers | 38.96 | 49.15 | | counter | 32.23 | 38.12 | | sand | 39.21 | 50.72 | | sink | 78.27 | 81.57 | | skyscraper | 35.36 | 47.27 | | fireplace | 72.36 | 93.68 | | refrigerator | 80.69 | 89.83 | | grandstand | 46.08 | 71.22 | | path | 30.24 | 49.61 | | stairs | 28.43 | 45.32 | | runway | 79.58 | 92.88 | | case | 67.39 | 80.79 | | pool table | 95.04 | 97.7 | | pillow | 61.1 | 71.24 | | screen door | 62.31 | 69.8 | | stairway | 34.6 | 41.78 | | river | 16.89 | 41.32 | | bridge | 67.11 | 89.54 | | bookcase | 42.98 | 54.01 | | blind | 44.4 | 56.38 | | coffee table | 65.39 | 83.86 | | toilet | 88.71 | 91.09 | | flower | 45.02 | 61.76 | | book | 52.25 | 75.21 | | hill | 10.6 | 28.0 | | bench | 50.08 | 56.19 | | countertop | 58.3 | 74.53 | | stove | 86.15 | 91.12 | | palm | 55.96 | 71.79 | | kitchen island | 64.5 | 84.19 | | computer | 72.85 | 79.54 | | swivel chair | 37.17 | 54.42 | | boat | 64.47 | 84.47 | | bar | 31.41 | 34.14 | | arcade machine | 66.91 | 72.84 | | hovel | 27.55 | 48.05 | | bus | 91.01 | 96.3 | | towel | 70.11 | 82.2 | | light | 60.78 | 75.02 | | truck | 39.51 | 58.8 | | tower | 26.32 | 52.43 | | chandelier | 68.14 | 81.36 | | awning | 36.6 | 51.61 | | streetlight | 43.95 | 68.79 | | booth | 37.34 | 42.15 | | television receiver | 72.92 | 86.12 | | airplane | 61.31 | 67.11 | | dirt track | 0.0 | 0.0 | | apparel | 34.58 | 56.66 | | pole | 29.1 | 42.4 | | land | 3.6 | 9.68 | | bannister | 22.5 | 31.01 | | escalator | 55.16 | 72.92 | | ottoman | 48.03 | 55.13 | | bottle | 34.61 | 44.04 | | buffet | 47.36 | 53.49 | | poster | 21.57 | 29.29 | | stage | 15.14 | 32.78 | | van | 49.01 | 72.89 | | ship | 10.26 | 10.74 | | fountain | 16.71 | 21.9 | | conveyer belt | 52.67 | 95.03 | | canopy | 29.15 | 47.28 | | washer | 72.83 | 75.09 | | plaything | 39.61 | 65.22 | | swimming pool | 52.17 | 64.68 | | stool | 52.85 | 73.2 | | barrel | 88.57 | 98.0 | | basket | 44.24 | 58.28 | | waterfall | 58.47 | 87.22 | | tent | 93.01 | 98.11 | | bag | 19.88 | 26.21 | | minibike | 75.85 | 90.33 | | cradle | 86.23 | 97.77 | | oven | 23.87 | 65.86 | | ball | 21.56 | 25.65 | | food | 61.4 | 78.93 | | step | 17.15 | 24.83 | | tank | 61.76 | 65.91 | | trade name | 26.12 | 32.8 | | microwave | 41.13 | 45.68 | | pot | 48.68 | 56.48 | | animal | 56.18 | 57.24 | | bicycle | 60.6 | 74.92 | | lake | 31.97 | 63.49 | | dishwasher | 77.27 | 83.56 | | screen | 57.92 | 88.78 | | blanket | 16.75 | 23.98 | | sculpture | 56.13 | 87.88 | | hood | 75.41 | 90.73 | | sconce | 51.28 | 75.2 | | vase | 53.91 | 72.65 | | traffic light | 37.83 | 73.24 | | tray | 18.42 | 32.19 | | ashcan | 50.94 | 64.01 | | fan | 71.37 | 84.1 | | pier | 30.28 | 40.63 | | crt screen | 4.12 | 11.71 | | plate | 62.66 | 76.89 | | monitor | 11.02 | 14.07 | | bulletin board | 42.57 | 59.69 | | shower | 16.32 | 22.52 | | radiator | 71.92 | 85.71 | | glass | 20.73 | 22.64 | | clock | 53.85 | 71.84 | | flag | 45.78 | 52.42 | +---------------------+-------+-------+ 2023-11-12 08:34:46,907 - mmseg - INFO - Summary: 2023-11-12 08:34:46,907 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 83.66 | 51.9 | 65.71 | +-------+------+-------+ 2023-11-12 08:34:46,908 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 08:34:46,908 - mmseg - INFO - Iter(val) [250] aAcc: 0.8366, mIoU: 0.5190, mAcc: 0.6571, IoU.wall: 0.7948, IoU.building: 0.8178, IoU.sky: 0.9433, IoU.floor: 0.8320, IoU.tree: 0.7531, IoU.ceiling: 0.8494, IoU.road: 0.8490, IoU.bed : 0.9068, IoU.windowpane: 0.6269, IoU.grass: 0.6490, IoU.cabinet: 0.6821, IoU.sidewalk: 0.6886, IoU.person: 0.8469, IoU.earth: 0.3856, IoU.door: 0.5005, IoU.table: 0.6492, IoU.mountain: 0.6306, IoU.plant: 0.5371, IoU.curtain: 0.7988, IoU.chair: 0.6219, IoU.car: 0.8672, IoU.water: 0.5037, IoU.painting: 0.7485, IoU.sofa: 0.7074, IoU.shelf: 0.4345, IoU.house: 0.3972, IoU.sea: 0.6531, IoU.mirror: 0.7098, IoU.rug: 0.6391, IoU.field: 0.2513, IoU.armchair: 0.5007, IoU.seat: 0.6013, IoU.fence: 0.4862, IoU.desk: 0.5088, IoU.rock: 0.4929, IoU.wardrobe: 0.4784, IoU.lamp: 0.6961, IoU.bathtub: 0.7472, IoU.railing: 0.3275, IoU.cushion: 0.6426, IoU.base: 0.3538, IoU.box: 0.2724, IoU.column: 0.3930, IoU.signboard: 0.3819, IoU.chest of drawers: 0.3896, IoU.counter: 0.3223, IoU.sand: 0.3921, IoU.sink: 0.7827, IoU.skyscraper: 0.3536, IoU.fireplace: 0.7236, IoU.refrigerator: 0.8069, IoU.grandstand: 0.4608, IoU.path: 0.3024, IoU.stairs: 0.2843, IoU.runway: 0.7958, IoU.case: 0.6739, IoU.pool table: 0.9504, IoU.pillow: 0.6110, IoU.screen door: 0.6231, IoU.stairway: 0.3460, IoU.river: 0.1689, IoU.bridge: 0.6711, IoU.bookcase: 0.4298, IoU.blind: 0.4440, IoU.coffee table: 0.6539, IoU.toilet: 0.8871, IoU.flower: 0.4502, IoU.book: 0.5225, IoU.hill: 0.1060, IoU.bench: 0.5008, IoU.countertop: 0.5830, IoU.stove: 0.8615, IoU.palm: 0.5596, IoU.kitchen island: 0.6450, IoU.computer: 0.7285, IoU.swivel chair: 0.3717, IoU.boat: 0.6447, IoU.bar: 0.3141, IoU.arcade machine: 0.6691, IoU.hovel: 0.2755, IoU.bus: 0.9101, IoU.towel: 0.7011, IoU.light: 0.6078, IoU.truck: 0.3951, IoU.tower: 0.2632, IoU.chandelier: 0.6814, IoU.awning: 0.3660, IoU.streetlight: 0.4395, IoU.booth: 0.3734, IoU.television receiver: 0.7292, IoU.airplane: 0.6131, IoU.dirt track: 0.0000, IoU.apparel: 0.3458, IoU.pole: 0.2910, IoU.land: 0.0360, IoU.bannister: 0.2250, IoU.escalator: 0.5516, IoU.ottoman: 0.4803, IoU.bottle: 0.3461, IoU.buffet: 0.4736, IoU.poster: 0.2157, IoU.stage: 0.1514, IoU.van: 0.4901, IoU.ship: 0.1026, IoU.fountain: 0.1671, IoU.conveyer belt: 0.5267, IoU.canopy: 0.2915, IoU.washer: 0.7283, IoU.plaything: 0.3961, IoU.swimming pool: 0.5217, IoU.stool: 0.5285, IoU.barrel: 0.8857, IoU.basket: 0.4424, IoU.waterfall: 0.5847, IoU.tent: 0.9301, IoU.bag: 0.1988, IoU.minibike: 0.7585, IoU.cradle: 0.8623, IoU.oven: 0.2387, IoU.ball: 0.2156, IoU.food: 0.6140, IoU.step: 0.1715, IoU.tank: 0.6176, IoU.trade name: 0.2612, IoU.microwave: 0.4113, IoU.pot: 0.4868, IoU.animal: 0.5618, IoU.bicycle: 0.6060, IoU.lake: 0.3197, IoU.dishwasher: 0.7727, IoU.screen: 0.5792, IoU.blanket: 0.1675, IoU.sculpture: 0.5613, IoU.hood: 0.7541, IoU.sconce: 0.5128, IoU.vase: 0.5391, IoU.traffic light: 0.3783, IoU.tray: 0.1842, IoU.ashcan: 0.5094, IoU.fan: 0.7137, IoU.pier: 0.3028, IoU.crt screen: 0.0412, IoU.plate: 0.6266, IoU.monitor: 0.1102, IoU.bulletin board: 0.4257, IoU.shower: 0.1632, IoU.radiator: 0.7192, IoU.glass: 0.2073, IoU.clock: 0.5385, IoU.flag: 0.4578, Acc.wall: 0.8762, Acc.building: 0.9044, Acc.sky: 0.9700, Acc.floor: 0.8964, Acc.tree: 0.8650, Acc.ceiling: 0.9202, Acc.road: 0.9081, Acc.bed : 0.9617, Acc.windowpane: 0.7656, Acc.grass: 0.7333, Acc.cabinet: 0.8372, Acc.sidewalk: 0.8136, Acc.person: 0.9273, Acc.earth: 0.6264, Acc.door: 0.6854, Acc.table: 0.8076, Acc.mountain: 0.7135, Acc.plant: 0.6953, Acc.curtain: 0.8704, Acc.chair: 0.7341, Acc.car: 0.9346, Acc.water: 0.5786, Acc.painting: 0.8741, Acc.sofa: 0.8595, Acc.shelf: 0.5553, Acc.house: 0.6856, Acc.sea: 0.9065, Acc.mirror: 0.8383, Acc.rug: 0.7434, Acc.field: 0.4496, Acc.armchair: 0.6784, Acc.seat: 0.8467, Acc.fence: 0.6721, Acc.desk: 0.7632, Acc.rock: 0.7949, Acc.wardrobe: 0.5711, Acc.lamp: 0.8238, Acc.bathtub: 0.8556, Acc.railing: 0.5375, Acc.cushion: 0.7924, Acc.base: 0.7550, Acc.box: 0.4710, Acc.column: 0.4812, Acc.signboard: 0.5796, Acc.chest of drawers: 0.4915, Acc.counter: 0.3812, Acc.sand: 0.5072, Acc.sink: 0.8157, Acc.skyscraper: 0.4727, Acc.fireplace: 0.9368, Acc.refrigerator: 0.8983, Acc.grandstand: 0.7122, Acc.path: 0.4961, Acc.stairs: 0.4532, Acc.runway: 0.9288, Acc.case: 0.8079, Acc.pool table: 0.9770, Acc.pillow: 0.7124, Acc.screen door: 0.6980, Acc.stairway: 0.4178, Acc.river: 0.4132, Acc.bridge: 0.8954, Acc.bookcase: 0.5401, Acc.blind: 0.5638, Acc.coffee table: 0.8386, Acc.toilet: 0.9109, Acc.flower: 0.6176, Acc.book: 0.7521, Acc.hill: 0.2800, Acc.bench: 0.5619, Acc.countertop: 0.7453, Acc.stove: 0.9112, Acc.palm: 0.7179, Acc.kitchen island: 0.8419, Acc.computer: 0.7954, Acc.swivel chair: 0.5442, Acc.boat: 0.8447, Acc.bar: 0.3414, Acc.arcade machine: 0.7284, Acc.hovel: 0.4805, Acc.bus: 0.9630, Acc.towel: 0.8220, Acc.light: 0.7502, Acc.truck: 0.5880, Acc.tower: 0.5243, Acc.chandelier: 0.8136, Acc.awning: 0.5161, Acc.streetlight: 0.6879, Acc.booth: 0.4215, Acc.television receiver: 0.8612, Acc.airplane: 0.6711, Acc.dirt track: 0.0000, Acc.apparel: 0.5666, Acc.pole: 0.4240, Acc.land: 0.0968, Acc.bannister: 0.3101, Acc.escalator: 0.7292, Acc.ottoman: 0.5513, Acc.bottle: 0.4404, Acc.buffet: 0.5349, Acc.poster: 0.2929, Acc.stage: 0.3278, Acc.van: 0.7289, Acc.ship: 0.1074, Acc.fountain: 0.2190, Acc.conveyer belt: 0.9503, Acc.canopy: 0.4728, Acc.washer: 0.7509, Acc.plaything: 0.6522, Acc.swimming pool: 0.6468, Acc.stool: 0.7320, Acc.barrel: 0.9800, Acc.basket: 0.5828, Acc.waterfall: 0.8722, Acc.tent: 0.9811, Acc.bag: 0.2621, Acc.minibike: 0.9033, Acc.cradle: 0.9777, Acc.oven: 0.6586, Acc.ball: 0.2565, Acc.food: 0.7893, Acc.step: 0.2483, Acc.tank: 0.6591, Acc.trade name: 0.3280, Acc.microwave: 0.4568, Acc.pot: 0.5648, Acc.animal: 0.5724, Acc.bicycle: 0.7492, Acc.lake: 0.6349, Acc.dishwasher: 0.8356, Acc.screen: 0.8878, Acc.blanket: 0.2398, Acc.sculpture: 0.8788, Acc.hood: 0.9073, Acc.sconce: 0.7520, Acc.vase: 0.7265, Acc.traffic light: 0.7324, Acc.tray: 0.3219, Acc.ashcan: 0.6401, Acc.fan: 0.8410, Acc.pier: 0.4063, Acc.crt screen: 0.1171, Acc.plate: 0.7689, Acc.monitor: 0.1407, Acc.bulletin board: 0.5969, Acc.shower: 0.2252, Acc.radiator: 0.8571, Acc.glass: 0.2264, Acc.clock: 0.7184, Acc.flag: 0.5242 2023-11-12 08:35:10,906 - mmseg - INFO - Iter [70050/160000] lr: 5.622e-05, eta: 12:37:25, time: 0.869, data_time: 0.402, memory: 41146, decode.loss_cls: 0.2543, decode.loss_mask: 0.5232, decode.loss_dice: 0.7655, decode.d0.loss_cls: 1.2275, decode.d0.loss_mask: 0.5626, decode.d0.loss_dice: 0.8315, decode.d1.loss_cls: 0.3162, decode.d1.loss_mask: 0.5455, decode.d1.loss_dice: 0.8072, decode.d2.loss_cls: 0.2919, decode.d2.loss_mask: 0.5300, decode.d2.loss_dice: 0.7859, decode.d3.loss_cls: 0.2751, decode.d3.loss_mask: 0.5248, decode.d3.loss_dice: 0.7741, decode.d4.loss_cls: 0.2675, decode.d4.loss_mask: 0.5258, decode.d4.loss_dice: 0.7694, decode.d5.loss_cls: 0.2618, decode.d5.loss_mask: 0.5243, decode.d5.loss_dice: 0.7718, decode.d6.loss_cls: 0.2559, decode.d6.loss_mask: 0.5240, decode.d6.loss_dice: 0.7667, decode.d7.loss_cls: 0.2570, decode.d7.loss_mask: 0.5220, decode.d7.loss_dice: 0.7628, decode.d8.loss_cls: 0.2530, decode.d8.loss_mask: 0.5240, decode.d8.loss_dice: 0.7695, loss: 16.7710, grad_norm: 57.8643 2023-11-12 08:35:35,102 - mmseg - INFO - Iter [70100/160000] lr: 5.619e-05, eta: 12:36:59, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2805, decode.loss_mask: 0.5238, decode.loss_dice: 0.7789, decode.d0.loss_cls: 1.2727, decode.d0.loss_mask: 0.5569, decode.d0.loss_dice: 0.8491, decode.d1.loss_cls: 0.3528, decode.d1.loss_mask: 0.5458, decode.d1.loss_dice: 0.8270, decode.d2.loss_cls: 0.3118, decode.d2.loss_mask: 0.5354, decode.d2.loss_dice: 0.8069, decode.d3.loss_cls: 0.2943, decode.d3.loss_mask: 0.5292, decode.d3.loss_dice: 0.7841, decode.d4.loss_cls: 0.2880, decode.d4.loss_mask: 0.5273, decode.d4.loss_dice: 0.7834, decode.d5.loss_cls: 0.2861, decode.d5.loss_mask: 0.5280, decode.d5.loss_dice: 0.7832, decode.d6.loss_cls: 0.2843, decode.d6.loss_mask: 0.5248, decode.d6.loss_dice: 0.7796, decode.d7.loss_cls: 0.2805, decode.d7.loss_mask: 0.5253, decode.d7.loss_dice: 0.7799, decode.d8.loss_cls: 0.2842, decode.d8.loss_mask: 0.5226, decode.d8.loss_dice: 0.7818, loss: 17.2082, grad_norm: 49.4851 2023-11-12 08:35:59,334 - mmseg - INFO - Iter [70150/160000] lr: 5.616e-05, eta: 12:36:32, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2760, decode.loss_mask: 0.5040, decode.loss_dice: 0.7619, decode.d0.loss_cls: 1.2653, decode.d0.loss_mask: 0.5419, decode.d0.loss_dice: 0.8332, decode.d1.loss_cls: 0.3569, decode.d1.loss_mask: 0.5235, decode.d1.loss_dice: 0.8051, decode.d2.loss_cls: 0.3151, decode.d2.loss_mask: 0.5117, decode.d2.loss_dice: 0.7794, decode.d3.loss_cls: 0.3010, decode.d3.loss_mask: 0.5082, decode.d3.loss_dice: 0.7617, decode.d4.loss_cls: 0.2918, decode.d4.loss_mask: 0.5074, decode.d4.loss_dice: 0.7665, decode.d5.loss_cls: 0.2857, decode.d5.loss_mask: 0.5070, decode.d5.loss_dice: 0.7661, decode.d6.loss_cls: 0.2857, decode.d6.loss_mask: 0.5063, decode.d6.loss_dice: 0.7621, decode.d7.loss_cls: 0.2798, decode.d7.loss_mask: 0.5050, decode.d7.loss_dice: 0.7656, decode.d8.loss_cls: 0.2804, decode.d8.loss_mask: 0.5039, decode.d8.loss_dice: 0.7621, loss: 16.8204, grad_norm: 47.1420 2023-11-12 08:36:23,432 - mmseg - INFO - Iter [70200/160000] lr: 5.613e-05, eta: 12:36:05, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2679, decode.loss_mask: 0.5040, decode.loss_dice: 0.7528, decode.d0.loss_cls: 1.2627, decode.d0.loss_mask: 0.5376, decode.d0.loss_dice: 0.8289, decode.d1.loss_cls: 0.3519, decode.d1.loss_mask: 0.5197, decode.d1.loss_dice: 0.8004, decode.d2.loss_cls: 0.2972, decode.d2.loss_mask: 0.5098, decode.d2.loss_dice: 0.7761, decode.d3.loss_cls: 0.2919, decode.d3.loss_mask: 0.5049, decode.d3.loss_dice: 0.7586, decode.d4.loss_cls: 0.2847, decode.d4.loss_mask: 0.5038, decode.d4.loss_dice: 0.7568, decode.d5.loss_cls: 0.2793, decode.d5.loss_mask: 0.5019, decode.d5.loss_dice: 0.7562, decode.d6.loss_cls: 0.2781, decode.d6.loss_mask: 0.5023, decode.d6.loss_dice: 0.7458, decode.d7.loss_cls: 0.2732, decode.d7.loss_mask: 0.5030, decode.d7.loss_dice: 0.7491, decode.d8.loss_cls: 0.2725, decode.d8.loss_mask: 0.5035, decode.d8.loss_dice: 0.7505, loss: 16.6253, grad_norm: 46.8503 2023-11-12 08:36:47,421 - mmseg - INFO - Iter [70250/160000] lr: 5.609e-05, eta: 12:35:38, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2867, decode.loss_mask: 0.4978, decode.loss_dice: 0.7612, decode.d0.loss_cls: 1.2800, decode.d0.loss_mask: 0.5391, decode.d0.loss_dice: 0.8431, decode.d1.loss_cls: 0.3666, decode.d1.loss_mask: 0.5198, decode.d1.loss_dice: 0.8063, decode.d2.loss_cls: 0.3228, decode.d2.loss_mask: 0.5099, decode.d2.loss_dice: 0.7883, decode.d3.loss_cls: 0.3071, decode.d3.loss_mask: 0.4997, decode.d3.loss_dice: 0.7717, decode.d4.loss_cls: 0.2994, decode.d4.loss_mask: 0.5015, decode.d4.loss_dice: 0.7679, decode.d5.loss_cls: 0.2928, decode.d5.loss_mask: 0.4998, decode.d5.loss_dice: 0.7682, decode.d6.loss_cls: 0.2930, decode.d6.loss_mask: 0.4980, decode.d6.loss_dice: 0.7590, decode.d7.loss_cls: 0.2926, decode.d7.loss_mask: 0.4981, decode.d7.loss_dice: 0.7596, decode.d8.loss_cls: 0.2876, decode.d8.loss_mask: 0.4988, decode.d8.loss_dice: 0.7636, loss: 16.8802, grad_norm: 47.7255 2023-11-12 08:37:11,387 - mmseg - INFO - Iter [70300/160000] lr: 5.606e-05, eta: 12:35:12, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2765, decode.loss_mask: 0.5227, decode.loss_dice: 0.7467, decode.d0.loss_cls: 1.2731, decode.d0.loss_mask: 0.5644, decode.d0.loss_dice: 0.8246, decode.d1.loss_cls: 0.3582, decode.d1.loss_mask: 0.5395, decode.d1.loss_dice: 0.8029, decode.d2.loss_cls: 0.3137, decode.d2.loss_mask: 0.5330, decode.d2.loss_dice: 0.7683, decode.d3.loss_cls: 0.2929, decode.d3.loss_mask: 0.5267, decode.d3.loss_dice: 0.7545, decode.d4.loss_cls: 0.2840, decode.d4.loss_mask: 0.5259, decode.d4.loss_dice: 0.7546, decode.d5.loss_cls: 0.2820, decode.d5.loss_mask: 0.5251, decode.d5.loss_dice: 0.7547, decode.d6.loss_cls: 0.2825, decode.d6.loss_mask: 0.5236, decode.d6.loss_dice: 0.7493, decode.d7.loss_cls: 0.2829, decode.d7.loss_mask: 0.5234, decode.d7.loss_dice: 0.7490, decode.d8.loss_cls: 0.2773, decode.d8.loss_mask: 0.5240, decode.d8.loss_dice: 0.7507, loss: 16.8867, grad_norm: 52.2294 2023-11-12 08:37:35,346 - mmseg - INFO - Iter [70350/160000] lr: 5.603e-05, eta: 12:34:45, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2771, decode.loss_mask: 0.4982, decode.loss_dice: 0.7424, decode.d0.loss_cls: 1.2558, decode.d0.loss_mask: 0.5306, decode.d0.loss_dice: 0.8115, decode.d1.loss_cls: 0.3537, decode.d1.loss_mask: 0.5135, decode.d1.loss_dice: 0.7803, decode.d2.loss_cls: 0.3092, decode.d2.loss_mask: 0.5086, decode.d2.loss_dice: 0.7609, decode.d3.loss_cls: 0.3026, decode.d3.loss_mask: 0.5017, decode.d3.loss_dice: 0.7501, decode.d4.loss_cls: 0.2908, decode.d4.loss_mask: 0.4994, decode.d4.loss_dice: 0.7499, decode.d5.loss_cls: 0.2889, decode.d5.loss_mask: 0.4978, decode.d5.loss_dice: 0.7437, decode.d6.loss_cls: 0.2826, decode.d6.loss_mask: 0.4975, decode.d6.loss_dice: 0.7384, decode.d7.loss_cls: 0.2787, decode.d7.loss_mask: 0.4976, decode.d7.loss_dice: 0.7394, decode.d8.loss_cls: 0.2742, decode.d8.loss_mask: 0.4974, decode.d8.loss_dice: 0.7407, loss: 16.5135, grad_norm: 49.0969 2023-11-12 08:37:59,325 - mmseg - INFO - Iter [70400/160000] lr: 5.600e-05, eta: 12:34:18, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2374, decode.loss_mask: 0.4912, decode.loss_dice: 0.7317, decode.d0.loss_cls: 1.2456, decode.d0.loss_mask: 0.5261, decode.d0.loss_dice: 0.7992, decode.d1.loss_cls: 0.3110, decode.d1.loss_mask: 0.5110, decode.d1.loss_dice: 0.7669, decode.d2.loss_cls: 0.2739, decode.d2.loss_mask: 0.4996, decode.d2.loss_dice: 0.7521, decode.d3.loss_cls: 0.2579, decode.d3.loss_mask: 0.4942, decode.d3.loss_dice: 0.7359, decode.d4.loss_cls: 0.2471, decode.d4.loss_mask: 0.4932, decode.d4.loss_dice: 0.7316, decode.d5.loss_cls: 0.2494, decode.d5.loss_mask: 0.4923, decode.d5.loss_dice: 0.7335, decode.d6.loss_cls: 0.2488, decode.d6.loss_mask: 0.4904, decode.d6.loss_dice: 0.7227, decode.d7.loss_cls: 0.2383, decode.d7.loss_mask: 0.4906, decode.d7.loss_dice: 0.7318, decode.d8.loss_cls: 0.2391, decode.d8.loss_mask: 0.4912, decode.d8.loss_dice: 0.7300, loss: 15.9637, grad_norm: 47.0710 2023-11-12 08:38:23,603 - mmseg - INFO - Iter [70450/160000] lr: 5.597e-05, eta: 12:33:51, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2847, decode.loss_mask: 0.5003, decode.loss_dice: 0.7681, decode.d0.loss_cls: 1.2518, decode.d0.loss_mask: 0.5387, decode.d0.loss_dice: 0.8496, decode.d1.loss_cls: 0.3627, decode.d1.loss_mask: 0.5188, decode.d1.loss_dice: 0.8076, decode.d2.loss_cls: 0.3243, decode.d2.loss_mask: 0.5086, decode.d2.loss_dice: 0.7869, decode.d3.loss_cls: 0.2995, decode.d3.loss_mask: 0.5046, decode.d3.loss_dice: 0.7759, decode.d4.loss_cls: 0.2968, decode.d4.loss_mask: 0.5021, decode.d4.loss_dice: 0.7761, decode.d5.loss_cls: 0.2922, decode.d5.loss_mask: 0.5026, decode.d5.loss_dice: 0.7669, decode.d6.loss_cls: 0.2869, decode.d6.loss_mask: 0.5028, decode.d6.loss_dice: 0.7685, decode.d7.loss_cls: 0.2823, decode.d7.loss_mask: 0.5020, decode.d7.loss_dice: 0.7708, decode.d8.loss_cls: 0.2832, decode.d8.loss_mask: 0.5013, decode.d8.loss_dice: 0.7650, loss: 16.8816, grad_norm: 50.6598 2023-11-12 08:38:47,900 - mmseg - INFO - Iter [70500/160000] lr: 5.594e-05, eta: 12:33:25, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2651, decode.loss_mask: 0.4950, decode.loss_dice: 0.7270, decode.d0.loss_cls: 1.2679, decode.d0.loss_mask: 0.5245, decode.d0.loss_dice: 0.8009, decode.d1.loss_cls: 0.3439, decode.d1.loss_mask: 0.5129, decode.d1.loss_dice: 0.7657, decode.d2.loss_cls: 0.3061, decode.d2.loss_mask: 0.5039, decode.d2.loss_dice: 0.7479, decode.d3.loss_cls: 0.2940, decode.d3.loss_mask: 0.4972, decode.d3.loss_dice: 0.7333, decode.d4.loss_cls: 0.2839, decode.d4.loss_mask: 0.4955, decode.d4.loss_dice: 0.7362, decode.d5.loss_cls: 0.2770, decode.d5.loss_mask: 0.4951, decode.d5.loss_dice: 0.7324, decode.d6.loss_cls: 0.2799, decode.d6.loss_mask: 0.4935, decode.d6.loss_dice: 0.7301, decode.d7.loss_cls: 0.2715, decode.d7.loss_mask: 0.4934, decode.d7.loss_dice: 0.7311, decode.d8.loss_cls: 0.2695, decode.d8.loss_mask: 0.4942, decode.d8.loss_dice: 0.7282, loss: 16.2966, grad_norm: 43.5230 2023-11-12 08:39:12,355 - mmseg - INFO - Iter [70550/160000] lr: 5.591e-05, eta: 12:32:59, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2824, decode.loss_mask: 0.5028, decode.loss_dice: 0.7497, decode.d0.loss_cls: 1.3002, decode.d0.loss_mask: 0.5371, decode.d0.loss_dice: 0.8233, decode.d1.loss_cls: 0.3611, decode.d1.loss_mask: 0.5194, decode.d1.loss_dice: 0.7860, decode.d2.loss_cls: 0.3169, decode.d2.loss_mask: 0.5089, decode.d2.loss_dice: 0.7755, decode.d3.loss_cls: 0.3030, decode.d3.loss_mask: 0.5057, decode.d3.loss_dice: 0.7539, decode.d4.loss_cls: 0.2957, decode.d4.loss_mask: 0.5035, decode.d4.loss_dice: 0.7556, decode.d5.loss_cls: 0.2906, decode.d5.loss_mask: 0.5040, decode.d5.loss_dice: 0.7560, decode.d6.loss_cls: 0.2923, decode.d6.loss_mask: 0.5024, decode.d6.loss_dice: 0.7540, decode.d7.loss_cls: 0.2871, decode.d7.loss_mask: 0.5021, decode.d7.loss_dice: 0.7486, decode.d8.loss_cls: 0.2821, decode.d8.loss_mask: 0.5028, decode.d8.loss_dice: 0.7511, loss: 16.7537, grad_norm: 45.9351 2023-11-12 08:39:36,584 - mmseg - INFO - Iter [70600/160000] lr: 5.588e-05, eta: 12:32:32, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2593, decode.loss_mask: 0.4948, decode.loss_dice: 0.7532, decode.d0.loss_cls: 1.2514, decode.d0.loss_mask: 0.5263, decode.d0.loss_dice: 0.8212, decode.d1.loss_cls: 0.3204, decode.d1.loss_mask: 0.5172, decode.d1.loss_dice: 0.7975, decode.d2.loss_cls: 0.2859, decode.d2.loss_mask: 0.5049, decode.d2.loss_dice: 0.7772, decode.d3.loss_cls: 0.2739, decode.d3.loss_mask: 0.4986, decode.d3.loss_dice: 0.7704, decode.d4.loss_cls: 0.2716, decode.d4.loss_mask: 0.4963, decode.d4.loss_dice: 0.7623, decode.d5.loss_cls: 0.2655, decode.d5.loss_mask: 0.4956, decode.d5.loss_dice: 0.7596, decode.d6.loss_cls: 0.2634, decode.d6.loss_mask: 0.4958, decode.d6.loss_dice: 0.7544, decode.d7.loss_cls: 0.2575, decode.d7.loss_mask: 0.4963, decode.d7.loss_dice: 0.7578, decode.d8.loss_cls: 0.2612, decode.d8.loss_mask: 0.4956, decode.d8.loss_dice: 0.7546, loss: 16.4397, grad_norm: 46.9547 2023-11-12 08:40:00,770 - mmseg - INFO - Iter [70650/160000] lr: 5.584e-05, eta: 12:32:05, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2566, decode.loss_mask: 0.5109, decode.loss_dice: 0.7643, decode.d0.loss_cls: 1.2392, decode.d0.loss_mask: 0.5453, decode.d0.loss_dice: 0.8344, decode.d1.loss_cls: 0.3375, decode.d1.loss_mask: 0.5244, decode.d1.loss_dice: 0.8096, decode.d2.loss_cls: 0.2922, decode.d2.loss_mask: 0.5172, decode.d2.loss_dice: 0.7843, decode.d3.loss_cls: 0.2741, decode.d3.loss_mask: 0.5127, decode.d3.loss_dice: 0.7699, decode.d4.loss_cls: 0.2702, decode.d4.loss_mask: 0.5095, decode.d4.loss_dice: 0.7660, decode.d5.loss_cls: 0.2626, decode.d5.loss_mask: 0.5107, decode.d5.loss_dice: 0.7639, decode.d6.loss_cls: 0.2639, decode.d6.loss_mask: 0.5094, decode.d6.loss_dice: 0.7622, decode.d7.loss_cls: 0.2611, decode.d7.loss_mask: 0.5088, decode.d7.loss_dice: 0.7615, decode.d8.loss_cls: 0.2600, decode.d8.loss_mask: 0.5080, decode.d8.loss_dice: 0.7649, loss: 16.6552, grad_norm: 46.6594 2023-11-12 08:40:25,327 - mmseg - INFO - Iter [70700/160000] lr: 5.581e-05, eta: 12:31:39, time: 0.491, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2850, decode.loss_mask: 0.5133, decode.loss_dice: 0.7650, decode.d0.loss_cls: 1.2854, decode.d0.loss_mask: 0.5421, decode.d0.loss_dice: 0.8362, decode.d1.loss_cls: 0.3514, decode.d1.loss_mask: 0.5279, decode.d1.loss_dice: 0.8085, decode.d2.loss_cls: 0.3181, decode.d2.loss_mask: 0.5188, decode.d2.loss_dice: 0.7914, decode.d3.loss_cls: 0.3028, decode.d3.loss_mask: 0.5118, decode.d3.loss_dice: 0.7715, decode.d4.loss_cls: 0.2918, decode.d4.loss_mask: 0.5126, decode.d4.loss_dice: 0.7713, decode.d5.loss_cls: 0.2904, decode.d5.loss_mask: 0.5125, decode.d5.loss_dice: 0.7714, decode.d6.loss_cls: 0.2821, decode.d6.loss_mask: 0.5116, decode.d6.loss_dice: 0.7642, decode.d7.loss_cls: 0.2842, decode.d7.loss_mask: 0.5150, decode.d7.loss_dice: 0.7646, decode.d8.loss_cls: 0.2792, decode.d8.loss_mask: 0.5126, decode.d8.loss_dice: 0.7705, loss: 16.9630, grad_norm: 46.7401 2023-11-12 08:40:51,601 - mmseg - INFO - Iter [70750/160000] lr: 5.578e-05, eta: 12:31:15, time: 0.525, data_time: 0.057, memory: 41146, decode.loss_cls: 0.2765, decode.loss_mask: 0.5121, decode.loss_dice: 0.7748, decode.d0.loss_cls: 1.2744, decode.d0.loss_mask: 0.5498, decode.d0.loss_dice: 0.8509, decode.d1.loss_cls: 0.3443, decode.d1.loss_mask: 0.5309, decode.d1.loss_dice: 0.8217, decode.d2.loss_cls: 0.3038, decode.d2.loss_mask: 0.5228, decode.d2.loss_dice: 0.7997, decode.d3.loss_cls: 0.2881, decode.d3.loss_mask: 0.5159, decode.d3.loss_dice: 0.7780, decode.d4.loss_cls: 0.2817, decode.d4.loss_mask: 0.5145, decode.d4.loss_dice: 0.7777, decode.d5.loss_cls: 0.2782, decode.d5.loss_mask: 0.5148, decode.d5.loss_dice: 0.7799, decode.d6.loss_cls: 0.2793, decode.d6.loss_mask: 0.5122, decode.d6.loss_dice: 0.7718, decode.d7.loss_cls: 0.2737, decode.d7.loss_mask: 0.5119, decode.d7.loss_dice: 0.7743, decode.d8.loss_cls: 0.2734, decode.d8.loss_mask: 0.5107, decode.d8.loss_dice: 0.7730, loss: 16.9709, grad_norm: 47.1458 2023-11-12 08:41:15,600 - mmseg - INFO - Iter [70800/160000] lr: 5.575e-05, eta: 12:30:48, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2662, decode.loss_mask: 0.4913, decode.loss_dice: 0.7558, decode.d0.loss_cls: 1.2959, decode.d0.loss_mask: 0.5243, decode.d0.loss_dice: 0.8318, decode.d1.loss_cls: 0.3558, decode.d1.loss_mask: 0.5053, decode.d1.loss_dice: 0.7950, decode.d2.loss_cls: 0.3165, decode.d2.loss_mask: 0.4922, decode.d2.loss_dice: 0.7740, decode.d3.loss_cls: 0.2893, decode.d3.loss_mask: 0.4902, decode.d3.loss_dice: 0.7547, decode.d4.loss_cls: 0.2782, decode.d4.loss_mask: 0.4908, decode.d4.loss_dice: 0.7598, decode.d5.loss_cls: 0.2757, decode.d5.loss_mask: 0.4905, decode.d5.loss_dice: 0.7610, decode.d6.loss_cls: 0.2764, decode.d6.loss_mask: 0.4914, decode.d6.loss_dice: 0.7548, decode.d7.loss_cls: 0.2719, decode.d7.loss_mask: 0.4914, decode.d7.loss_dice: 0.7542, decode.d8.loss_cls: 0.2683, decode.d8.loss_mask: 0.4920, decode.d8.loss_dice: 0.7559, loss: 16.5507, grad_norm: 43.0675 2023-11-12 08:41:39,775 - mmseg - INFO - Iter [70850/160000] lr: 5.572e-05, eta: 12:30:22, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2287, decode.loss_mask: 0.4953, decode.loss_dice: 0.7369, decode.d0.loss_cls: 1.2311, decode.d0.loss_mask: 0.5337, decode.d0.loss_dice: 0.8020, decode.d1.loss_cls: 0.3033, decode.d1.loss_mask: 0.5118, decode.d1.loss_dice: 0.7686, decode.d2.loss_cls: 0.2638, decode.d2.loss_mask: 0.5037, decode.d2.loss_dice: 0.7512, decode.d3.loss_cls: 0.2463, decode.d3.loss_mask: 0.4991, decode.d3.loss_dice: 0.7336, decode.d4.loss_cls: 0.2370, decode.d4.loss_mask: 0.4975, decode.d4.loss_dice: 0.7362, decode.d5.loss_cls: 0.2305, decode.d5.loss_mask: 0.4975, decode.d5.loss_dice: 0.7378, decode.d6.loss_cls: 0.2363, decode.d6.loss_mask: 0.4958, decode.d6.loss_dice: 0.7333, decode.d7.loss_cls: 0.2297, decode.d7.loss_mask: 0.4956, decode.d7.loss_dice: 0.7327, decode.d8.loss_cls: 0.2312, decode.d8.loss_mask: 0.4948, decode.d8.loss_dice: 0.7362, loss: 15.9312, grad_norm: 54.3534 2023-11-12 08:42:03,752 - mmseg - INFO - Iter [70900/160000] lr: 5.569e-05, eta: 12:29:55, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2468, decode.loss_mask: 0.5077, decode.loss_dice: 0.7494, decode.d0.loss_cls: 1.2316, decode.d0.loss_mask: 0.5455, decode.d0.loss_dice: 0.8189, decode.d1.loss_cls: 0.3213, decode.d1.loss_mask: 0.5268, decode.d1.loss_dice: 0.7960, decode.d2.loss_cls: 0.2813, decode.d2.loss_mask: 0.5153, decode.d2.loss_dice: 0.7763, decode.d3.loss_cls: 0.2659, decode.d3.loss_mask: 0.5090, decode.d3.loss_dice: 0.7583, decode.d4.loss_cls: 0.2621, decode.d4.loss_mask: 0.5081, decode.d4.loss_dice: 0.7575, decode.d5.loss_cls: 0.2521, decode.d5.loss_mask: 0.5070, decode.d5.loss_dice: 0.7590, decode.d6.loss_cls: 0.2521, decode.d6.loss_mask: 0.5078, decode.d6.loss_dice: 0.7526, decode.d7.loss_cls: 0.2469, decode.d7.loss_mask: 0.5078, decode.d7.loss_dice: 0.7526, decode.d8.loss_cls: 0.2442, decode.d8.loss_mask: 0.5095, decode.d8.loss_dice: 0.7559, loss: 16.4251, grad_norm: 50.8443 2023-11-12 08:42:27,844 - mmseg - INFO - Iter [70950/160000] lr: 5.566e-05, eta: 12:29:28, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2617, decode.loss_mask: 0.4801, decode.loss_dice: 0.7454, decode.d0.loss_cls: 1.2486, decode.d0.loss_mask: 0.5172, decode.d0.loss_dice: 0.8255, decode.d1.loss_cls: 0.3352, decode.d1.loss_mask: 0.4975, decode.d1.loss_dice: 0.7863, decode.d2.loss_cls: 0.2942, decode.d2.loss_mask: 0.4881, decode.d2.loss_dice: 0.7660, decode.d3.loss_cls: 0.2775, decode.d3.loss_mask: 0.4813, decode.d3.loss_dice: 0.7534, decode.d4.loss_cls: 0.2686, decode.d4.loss_mask: 0.4808, decode.d4.loss_dice: 0.7526, decode.d5.loss_cls: 0.2607, decode.d5.loss_mask: 0.4820, decode.d5.loss_dice: 0.7460, decode.d6.loss_cls: 0.2676, decode.d6.loss_mask: 0.4792, decode.d6.loss_dice: 0.7455, decode.d7.loss_cls: 0.2707, decode.d7.loss_mask: 0.4790, decode.d7.loss_dice: 0.7455, decode.d8.loss_cls: 0.2556, decode.d8.loss_mask: 0.4789, decode.d8.loss_dice: 0.7459, loss: 16.2168, grad_norm: 44.6305 2023-11-12 08:42:51,716 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 08:42:51,717 - mmseg - INFO - Iter [71000/160000] lr: 5.563e-05, eta: 12:29:01, time: 0.477, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2870, decode.loss_mask: 0.4887, decode.loss_dice: 0.7401, decode.d0.loss_cls: 1.2942, decode.d0.loss_mask: 0.5263, decode.d0.loss_dice: 0.8173, decode.d1.loss_cls: 0.3692, decode.d1.loss_mask: 0.5085, decode.d1.loss_dice: 0.7934, decode.d2.loss_cls: 0.3237, decode.d2.loss_mask: 0.4957, decode.d2.loss_dice: 0.7665, decode.d3.loss_cls: 0.2992, decode.d3.loss_mask: 0.4943, decode.d3.loss_dice: 0.7516, decode.d4.loss_cls: 0.2928, decode.d4.loss_mask: 0.4905, decode.d4.loss_dice: 0.7463, decode.d5.loss_cls: 0.2917, decode.d5.loss_mask: 0.4915, decode.d5.loss_dice: 0.7461, decode.d6.loss_cls: 0.2884, decode.d6.loss_mask: 0.4896, decode.d6.loss_dice: 0.7432, decode.d7.loss_cls: 0.2861, decode.d7.loss_mask: 0.4891, decode.d7.loss_dice: 0.7421, decode.d8.loss_cls: 0.2898, decode.d8.loss_mask: 0.4870, decode.d8.loss_dice: 0.7418, loss: 16.5717, grad_norm: 46.6686 2023-11-12 08:43:15,681 - mmseg - INFO - Iter [71050/160000] lr: 5.559e-05, eta: 12:28:34, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2491, decode.loss_mask: 0.4900, decode.loss_dice: 0.7216, decode.d0.loss_cls: 1.2449, decode.d0.loss_mask: 0.5168, decode.d0.loss_dice: 0.7852, decode.d1.loss_cls: 0.3239, decode.d1.loss_mask: 0.5057, decode.d1.loss_dice: 0.7633, decode.d2.loss_cls: 0.2835, decode.d2.loss_mask: 0.4984, decode.d2.loss_dice: 0.7446, decode.d3.loss_cls: 0.2715, decode.d3.loss_mask: 0.4928, decode.d3.loss_dice: 0.7241, decode.d4.loss_cls: 0.2582, decode.d4.loss_mask: 0.4901, decode.d4.loss_dice: 0.7237, decode.d5.loss_cls: 0.2564, decode.d5.loss_mask: 0.4880, decode.d5.loss_dice: 0.7264, decode.d6.loss_cls: 0.2544, decode.d6.loss_mask: 0.4886, decode.d6.loss_dice: 0.7287, decode.d7.loss_cls: 0.2523, decode.d7.loss_mask: 0.4878, decode.d7.loss_dice: 0.7206, decode.d8.loss_cls: 0.2522, decode.d8.loss_mask: 0.4866, decode.d8.loss_dice: 0.7213, loss: 15.9508, grad_norm: 42.9669 2023-11-12 08:43:39,489 - mmseg - INFO - Iter [71100/160000] lr: 5.556e-05, eta: 12:28:07, time: 0.476, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2727, decode.loss_mask: 0.4974, decode.loss_dice: 0.7420, decode.d0.loss_cls: 1.2557, decode.d0.loss_mask: 0.5359, decode.d0.loss_dice: 0.8236, decode.d1.loss_cls: 0.3375, decode.d1.loss_mask: 0.5194, decode.d1.loss_dice: 0.7889, decode.d2.loss_cls: 0.3053, decode.d2.loss_mask: 0.5073, decode.d2.loss_dice: 0.7627, decode.d3.loss_cls: 0.2835, decode.d3.loss_mask: 0.5026, decode.d3.loss_dice: 0.7519, decode.d4.loss_cls: 0.2774, decode.d4.loss_mask: 0.4998, decode.d4.loss_dice: 0.7473, decode.d5.loss_cls: 0.2730, decode.d5.loss_mask: 0.5001, decode.d5.loss_dice: 0.7470, decode.d6.loss_cls: 0.2805, decode.d6.loss_mask: 0.4974, decode.d6.loss_dice: 0.7385, decode.d7.loss_cls: 0.2761, decode.d7.loss_mask: 0.4986, decode.d7.loss_dice: 0.7378, decode.d8.loss_cls: 0.2713, decode.d8.loss_mask: 0.4970, decode.d8.loss_dice: 0.7405, loss: 16.4689, grad_norm: 47.6291 2023-11-12 08:44:03,347 - mmseg - INFO - Iter [71150/160000] lr: 5.553e-05, eta: 12:27:40, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2596, decode.loss_mask: 0.4720, decode.loss_dice: 0.7206, decode.d0.loss_cls: 1.2440, decode.d0.loss_mask: 0.5093, decode.d0.loss_dice: 0.7934, decode.d1.loss_cls: 0.3272, decode.d1.loss_mask: 0.4904, decode.d1.loss_dice: 0.7658, decode.d2.loss_cls: 0.2962, decode.d2.loss_mask: 0.4794, decode.d2.loss_dice: 0.7390, decode.d3.loss_cls: 0.2787, decode.d3.loss_mask: 0.4743, decode.d3.loss_dice: 0.7286, decode.d4.loss_cls: 0.2671, decode.d4.loss_mask: 0.4727, decode.d4.loss_dice: 0.7262, decode.d5.loss_cls: 0.2632, decode.d5.loss_mask: 0.4711, decode.d5.loss_dice: 0.7233, decode.d6.loss_cls: 0.2621, decode.d6.loss_mask: 0.4708, decode.d6.loss_dice: 0.7219, decode.d7.loss_cls: 0.2601, decode.d7.loss_mask: 0.4715, decode.d7.loss_dice: 0.7224, decode.d8.loss_cls: 0.2598, decode.d8.loss_mask: 0.4715, decode.d8.loss_dice: 0.7265, loss: 15.8688, grad_norm: 44.0678 2023-11-12 08:44:27,387 - mmseg - INFO - Iter [71200/160000] lr: 5.550e-05, eta: 12:27:14, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2409, decode.loss_mask: 0.5081, decode.loss_dice: 0.7381, decode.d0.loss_cls: 1.2327, decode.d0.loss_mask: 0.5451, decode.d0.loss_dice: 0.8066, decode.d1.loss_cls: 0.3120, decode.d1.loss_mask: 0.5269, decode.d1.loss_dice: 0.7777, decode.d2.loss_cls: 0.2710, decode.d2.loss_mask: 0.5143, decode.d2.loss_dice: 0.7587, decode.d3.loss_cls: 0.2556, decode.d3.loss_mask: 0.5136, decode.d3.loss_dice: 0.7523, decode.d4.loss_cls: 0.2486, decode.d4.loss_mask: 0.5113, decode.d4.loss_dice: 0.7430, decode.d5.loss_cls: 0.2452, decode.d5.loss_mask: 0.5086, decode.d5.loss_dice: 0.7443, decode.d6.loss_cls: 0.2460, decode.d6.loss_mask: 0.5085, decode.d6.loss_dice: 0.7381, decode.d7.loss_cls: 0.2397, decode.d7.loss_mask: 0.5090, decode.d7.loss_dice: 0.7378, decode.d8.loss_cls: 0.2359, decode.d8.loss_mask: 0.5087, decode.d8.loss_dice: 0.7403, loss: 16.2188, grad_norm: 46.8277 2023-11-12 08:44:51,502 - mmseg - INFO - Iter [71250/160000] lr: 5.547e-05, eta: 12:26:47, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2631, decode.loss_mask: 0.4881, decode.loss_dice: 0.7556, decode.d0.loss_cls: 1.2464, decode.d0.loss_mask: 0.5279, decode.d0.loss_dice: 0.8220, decode.d1.loss_cls: 0.3304, decode.d1.loss_mask: 0.5093, decode.d1.loss_dice: 0.7990, decode.d2.loss_cls: 0.2991, decode.d2.loss_mask: 0.4961, decode.d2.loss_dice: 0.7773, decode.d3.loss_cls: 0.2884, decode.d3.loss_mask: 0.4886, decode.d3.loss_dice: 0.7610, decode.d4.loss_cls: 0.2725, decode.d4.loss_mask: 0.4907, decode.d4.loss_dice: 0.7627, decode.d5.loss_cls: 0.2741, decode.d5.loss_mask: 0.4896, decode.d5.loss_dice: 0.7616, decode.d6.loss_cls: 0.2708, decode.d6.loss_mask: 0.4915, decode.d6.loss_dice: 0.7584, decode.d7.loss_cls: 0.2697, decode.d7.loss_mask: 0.4914, decode.d7.loss_dice: 0.7562, decode.d8.loss_cls: 0.2646, decode.d8.loss_mask: 0.4891, decode.d8.loss_dice: 0.7567, loss: 16.4520, grad_norm: 48.4272 2023-11-12 08:45:15,837 - mmseg - INFO - Iter [71300/160000] lr: 5.544e-05, eta: 12:26:21, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2652, decode.loss_mask: 0.5112, decode.loss_dice: 0.7586, decode.d0.loss_cls: 1.2995, decode.d0.loss_mask: 0.5443, decode.d0.loss_dice: 0.8339, decode.d1.loss_cls: 0.3398, decode.d1.loss_mask: 0.5269, decode.d1.loss_dice: 0.8054, decode.d2.loss_cls: 0.2981, decode.d2.loss_mask: 0.5158, decode.d2.loss_dice: 0.7856, decode.d3.loss_cls: 0.2793, decode.d3.loss_mask: 0.5135, decode.d3.loss_dice: 0.7681, decode.d4.loss_cls: 0.2763, decode.d4.loss_mask: 0.5139, decode.d4.loss_dice: 0.7661, decode.d5.loss_cls: 0.2770, decode.d5.loss_mask: 0.5101, decode.d5.loss_dice: 0.7654, decode.d6.loss_cls: 0.2694, decode.d6.loss_mask: 0.5126, decode.d6.loss_dice: 0.7591, decode.d7.loss_cls: 0.2654, decode.d7.loss_mask: 0.5132, decode.d7.loss_dice: 0.7656, decode.d8.loss_cls: 0.2703, decode.d8.loss_mask: 0.5088, decode.d8.loss_dice: 0.7647, loss: 16.7833, grad_norm: 47.4347 2023-11-12 08:45:40,085 - mmseg - INFO - Iter [71350/160000] lr: 5.541e-05, eta: 12:25:54, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2486, decode.loss_mask: 0.4967, decode.loss_dice: 0.7306, decode.d0.loss_cls: 1.2620, decode.d0.loss_mask: 0.5366, decode.d0.loss_dice: 0.8104, decode.d1.loss_cls: 0.3262, decode.d1.loss_mask: 0.5135, decode.d1.loss_dice: 0.7745, decode.d2.loss_cls: 0.2837, decode.d2.loss_mask: 0.5057, decode.d2.loss_dice: 0.7436, decode.d3.loss_cls: 0.2643, decode.d3.loss_mask: 0.4981, decode.d3.loss_dice: 0.7364, decode.d4.loss_cls: 0.2648, decode.d4.loss_mask: 0.4959, decode.d4.loss_dice: 0.7329, decode.d5.loss_cls: 0.2587, decode.d5.loss_mask: 0.4958, decode.d5.loss_dice: 0.7340, decode.d6.loss_cls: 0.2528, decode.d6.loss_mask: 0.4964, decode.d6.loss_dice: 0.7312, decode.d7.loss_cls: 0.2552, decode.d7.loss_mask: 0.4957, decode.d7.loss_dice: 0.7297, decode.d8.loss_cls: 0.2542, decode.d8.loss_mask: 0.4959, decode.d8.loss_dice: 0.7289, loss: 16.1530, grad_norm: 47.9815 2023-11-12 08:46:03,925 - mmseg - INFO - Iter [71400/160000] lr: 5.538e-05, eta: 12:25:27, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2488, decode.loss_mask: 0.5123, decode.loss_dice: 0.7317, decode.d0.loss_cls: 1.2144, decode.d0.loss_mask: 0.5486, decode.d0.loss_dice: 0.8016, decode.d1.loss_cls: 0.3276, decode.d1.loss_mask: 0.5296, decode.d1.loss_dice: 0.7691, decode.d2.loss_cls: 0.2887, decode.d2.loss_mask: 0.5208, decode.d2.loss_dice: 0.7552, decode.d3.loss_cls: 0.2673, decode.d3.loss_mask: 0.5155, decode.d3.loss_dice: 0.7420, decode.d4.loss_cls: 0.2604, decode.d4.loss_mask: 0.5142, decode.d4.loss_dice: 0.7410, decode.d5.loss_cls: 0.2545, decode.d5.loss_mask: 0.5124, decode.d5.loss_dice: 0.7357, decode.d6.loss_cls: 0.2513, decode.d6.loss_mask: 0.5118, decode.d6.loss_dice: 0.7373, decode.d7.loss_cls: 0.2477, decode.d7.loss_mask: 0.5128, decode.d7.loss_dice: 0.7371, decode.d8.loss_cls: 0.2545, decode.d8.loss_mask: 0.5116, decode.d8.loss_dice: 0.7326, loss: 16.2879, grad_norm: 47.1112 2023-11-12 08:46:27,793 - mmseg - INFO - Iter [71450/160000] lr: 5.534e-05, eta: 12:25:00, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2685, decode.loss_mask: 0.5014, decode.loss_dice: 0.7415, decode.d0.loss_cls: 1.2702, decode.d0.loss_mask: 0.5392, decode.d0.loss_dice: 0.8189, decode.d1.loss_cls: 0.3438, decode.d1.loss_mask: 0.5166, decode.d1.loss_dice: 0.7910, decode.d2.loss_cls: 0.3067, decode.d2.loss_mask: 0.5114, decode.d2.loss_dice: 0.7667, decode.d3.loss_cls: 0.2919, decode.d3.loss_mask: 0.5065, decode.d3.loss_dice: 0.7450, decode.d4.loss_cls: 0.2788, decode.d4.loss_mask: 0.5059, decode.d4.loss_dice: 0.7494, decode.d5.loss_cls: 0.2762, decode.d5.loss_mask: 0.5037, decode.d5.loss_dice: 0.7508, decode.d6.loss_cls: 0.2795, decode.d6.loss_mask: 0.5033, decode.d6.loss_dice: 0.7431, decode.d7.loss_cls: 0.2733, decode.d7.loss_mask: 0.5039, decode.d7.loss_dice: 0.7430, decode.d8.loss_cls: 0.2705, decode.d8.loss_mask: 0.5027, decode.d8.loss_dice: 0.7465, loss: 16.5498, grad_norm: 47.5544 2023-11-12 08:46:51,660 - mmseg - INFO - Iter [71500/160000] lr: 5.531e-05, eta: 12:24:33, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2444, decode.loss_mask: 0.5035, decode.loss_dice: 0.7233, decode.d0.loss_cls: 1.2388, decode.d0.loss_mask: 0.5388, decode.d0.loss_dice: 0.8029, decode.d1.loss_cls: 0.3174, decode.d1.loss_mask: 0.5199, decode.d1.loss_dice: 0.7699, decode.d2.loss_cls: 0.2786, decode.d2.loss_mask: 0.5100, decode.d2.loss_dice: 0.7467, decode.d3.loss_cls: 0.2709, decode.d3.loss_mask: 0.5052, decode.d3.loss_dice: 0.7328, decode.d4.loss_cls: 0.2642, decode.d4.loss_mask: 0.5053, decode.d4.loss_dice: 0.7320, decode.d5.loss_cls: 0.2552, decode.d5.loss_mask: 0.5039, decode.d5.loss_dice: 0.7307, decode.d6.loss_cls: 0.2533, decode.d6.loss_mask: 0.5040, decode.d6.loss_dice: 0.7264, decode.d7.loss_cls: 0.2487, decode.d7.loss_mask: 0.5039, decode.d7.loss_dice: 0.7255, decode.d8.loss_cls: 0.2494, decode.d8.loss_mask: 0.5056, decode.d8.loss_dice: 0.7283, loss: 16.1393, grad_norm: 45.8791 2023-11-12 08:47:15,584 - mmseg - INFO - Iter [71550/160000] lr: 5.528e-05, eta: 12:24:06, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2542, decode.loss_mask: 0.5030, decode.loss_dice: 0.7377, decode.d0.loss_cls: 1.2582, decode.d0.loss_mask: 0.5371, decode.d0.loss_dice: 0.8019, decode.d1.loss_cls: 0.3299, decode.d1.loss_mask: 0.5178, decode.d1.loss_dice: 0.7775, decode.d2.loss_cls: 0.2875, decode.d2.loss_mask: 0.5094, decode.d2.loss_dice: 0.7553, decode.d3.loss_cls: 0.2680, decode.d3.loss_mask: 0.5041, decode.d3.loss_dice: 0.7376, decode.d4.loss_cls: 0.2619, decode.d4.loss_mask: 0.5029, decode.d4.loss_dice: 0.7376, decode.d5.loss_cls: 0.2641, decode.d5.loss_mask: 0.5048, decode.d5.loss_dice: 0.7394, decode.d6.loss_cls: 0.2567, decode.d6.loss_mask: 0.5044, decode.d6.loss_dice: 0.7315, decode.d7.loss_cls: 0.2564, decode.d7.loss_mask: 0.5054, decode.d7.loss_dice: 0.7387, decode.d8.loss_cls: 0.2502, decode.d8.loss_mask: 0.5045, decode.d8.loss_dice: 0.7392, loss: 16.2769, grad_norm: 43.0904 2023-11-12 08:47:39,691 - mmseg - INFO - Iter [71600/160000] lr: 5.525e-05, eta: 12:23:40, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2465, decode.loss_mask: 0.4963, decode.loss_dice: 0.7438, decode.d0.loss_cls: 1.2456, decode.d0.loss_mask: 0.5269, decode.d0.loss_dice: 0.8068, decode.d1.loss_cls: 0.3243, decode.d1.loss_mask: 0.5119, decode.d1.loss_dice: 0.7801, decode.d2.loss_cls: 0.2829, decode.d2.loss_mask: 0.5032, decode.d2.loss_dice: 0.7566, decode.d3.loss_cls: 0.2651, decode.d3.loss_mask: 0.4989, decode.d3.loss_dice: 0.7409, decode.d4.loss_cls: 0.2539, decode.d4.loss_mask: 0.4964, decode.d4.loss_dice: 0.7407, decode.d5.loss_cls: 0.2530, decode.d5.loss_mask: 0.4954, decode.d5.loss_dice: 0.7454, decode.d6.loss_cls: 0.2519, decode.d6.loss_mask: 0.4965, decode.d6.loss_dice: 0.7388, decode.d7.loss_cls: 0.2536, decode.d7.loss_mask: 0.4963, decode.d7.loss_dice: 0.7415, decode.d8.loss_cls: 0.2485, decode.d8.loss_mask: 0.4964, decode.d8.loss_dice: 0.7425, loss: 16.1808, grad_norm: 51.0757 2023-11-12 08:48:03,955 - mmseg - INFO - Iter [71650/160000] lr: 5.522e-05, eta: 12:23:13, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2623, decode.loss_mask: 0.5097, decode.loss_dice: 0.7502, decode.d0.loss_cls: 1.2603, decode.d0.loss_mask: 0.5409, decode.d0.loss_dice: 0.8213, decode.d1.loss_cls: 0.3521, decode.d1.loss_mask: 0.5237, decode.d1.loss_dice: 0.7843, decode.d2.loss_cls: 0.3049, decode.d2.loss_mask: 0.5179, decode.d2.loss_dice: 0.7627, decode.d3.loss_cls: 0.2858, decode.d3.loss_mask: 0.5113, decode.d3.loss_dice: 0.7547, decode.d4.loss_cls: 0.2746, decode.d4.loss_mask: 0.5122, decode.d4.loss_dice: 0.7501, decode.d5.loss_cls: 0.2753, decode.d5.loss_mask: 0.5104, decode.d5.loss_dice: 0.7515, decode.d6.loss_cls: 0.2727, decode.d6.loss_mask: 0.5097, decode.d6.loss_dice: 0.7500, decode.d7.loss_cls: 0.2701, decode.d7.loss_mask: 0.5090, decode.d7.loss_dice: 0.7480, decode.d8.loss_cls: 0.2646, decode.d8.loss_mask: 0.5079, decode.d8.loss_dice: 0.7503, loss: 16.5983, grad_norm: 47.6777 2023-11-12 08:48:28,074 - mmseg - INFO - Iter [71700/160000] lr: 5.519e-05, eta: 12:22:47, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2651, decode.loss_mask: 0.4985, decode.loss_dice: 0.7335, decode.d0.loss_cls: 1.2374, decode.d0.loss_mask: 0.5263, decode.d0.loss_dice: 0.8052, decode.d1.loss_cls: 0.3340, decode.d1.loss_mask: 0.5145, decode.d1.loss_dice: 0.7700, decode.d2.loss_cls: 0.2845, decode.d2.loss_mask: 0.5070, decode.d2.loss_dice: 0.7588, decode.d3.loss_cls: 0.2816, decode.d3.loss_mask: 0.4991, decode.d3.loss_dice: 0.7425, decode.d4.loss_cls: 0.2713, decode.d4.loss_mask: 0.5022, decode.d4.loss_dice: 0.7410, decode.d5.loss_cls: 0.2627, decode.d5.loss_mask: 0.5006, decode.d5.loss_dice: 0.7381, decode.d6.loss_cls: 0.2650, decode.d6.loss_mask: 0.4986, decode.d6.loss_dice: 0.7347, decode.d7.loss_cls: 0.2628, decode.d7.loss_mask: 0.4977, decode.d7.loss_dice: 0.7361, decode.d8.loss_cls: 0.2636, decode.d8.loss_mask: 0.4983, decode.d8.loss_dice: 0.7365, loss: 16.2670, grad_norm: 47.2372 2023-11-12 08:48:52,317 - mmseg - INFO - Iter [71750/160000] lr: 5.516e-05, eta: 12:22:20, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2698, decode.loss_mask: 0.4826, decode.loss_dice: 0.7291, decode.d0.loss_cls: 1.2598, decode.d0.loss_mask: 0.5144, decode.d0.loss_dice: 0.8118, decode.d1.loss_cls: 0.3431, decode.d1.loss_mask: 0.5030, decode.d1.loss_dice: 0.7717, decode.d2.loss_cls: 0.2985, decode.d2.loss_mask: 0.4930, decode.d2.loss_dice: 0.7591, decode.d3.loss_cls: 0.2797, decode.d3.loss_mask: 0.4901, decode.d3.loss_dice: 0.7410, decode.d4.loss_cls: 0.2735, decode.d4.loss_mask: 0.4850, decode.d4.loss_dice: 0.7367, decode.d5.loss_cls: 0.2732, decode.d5.loss_mask: 0.4863, decode.d5.loss_dice: 0.7370, decode.d6.loss_cls: 0.2679, decode.d6.loss_mask: 0.4824, decode.d6.loss_dice: 0.7312, decode.d7.loss_cls: 0.2737, decode.d7.loss_mask: 0.4800, decode.d7.loss_dice: 0.7278, decode.d8.loss_cls: 0.2650, decode.d8.loss_mask: 0.4820, decode.d8.loss_dice: 0.7314, loss: 16.1797, grad_norm: 49.9414 2023-11-12 08:49:16,223 - mmseg - INFO - Iter [71800/160000] lr: 5.513e-05, eta: 12:21:53, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2734, decode.loss_mask: 0.5053, decode.loss_dice: 0.7358, decode.d0.loss_cls: 1.2766, decode.d0.loss_mask: 0.5339, decode.d0.loss_dice: 0.8078, decode.d1.loss_cls: 0.3540, decode.d1.loss_mask: 0.5270, decode.d1.loss_dice: 0.7772, decode.d2.loss_cls: 0.3058, decode.d2.loss_mask: 0.5127, decode.d2.loss_dice: 0.7542, decode.d3.loss_cls: 0.2877, decode.d3.loss_mask: 0.5093, decode.d3.loss_dice: 0.7441, decode.d4.loss_cls: 0.2767, decode.d4.loss_mask: 0.5075, decode.d4.loss_dice: 0.7471, decode.d5.loss_cls: 0.2764, decode.d5.loss_mask: 0.5066, decode.d5.loss_dice: 0.7402, decode.d6.loss_cls: 0.2749, decode.d6.loss_mask: 0.5070, decode.d6.loss_dice: 0.7364, decode.d7.loss_cls: 0.2723, decode.d7.loss_mask: 0.5053, decode.d7.loss_dice: 0.7377, decode.d8.loss_cls: 0.2705, decode.d8.loss_mask: 0.5048, decode.d8.loss_dice: 0.7360, loss: 16.5043, grad_norm: 52.8064 2023-11-12 08:49:40,009 - mmseg - INFO - Iter [71850/160000] lr: 5.509e-05, eta: 12:21:26, time: 0.476, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2556, decode.loss_mask: 0.5098, decode.loss_dice: 0.7463, decode.d0.loss_cls: 1.2619, decode.d0.loss_mask: 0.5447, decode.d0.loss_dice: 0.8161, decode.d1.loss_cls: 0.3350, decode.d1.loss_mask: 0.5275, decode.d1.loss_dice: 0.7869, decode.d2.loss_cls: 0.2917, decode.d2.loss_mask: 0.5134, decode.d2.loss_dice: 0.7590, decode.d3.loss_cls: 0.2766, decode.d3.loss_mask: 0.5136, decode.d3.loss_dice: 0.7498, decode.d4.loss_cls: 0.2641, decode.d4.loss_mask: 0.5097, decode.d4.loss_dice: 0.7484, decode.d5.loss_cls: 0.2599, decode.d5.loss_mask: 0.5092, decode.d5.loss_dice: 0.7499, decode.d6.loss_cls: 0.2597, decode.d6.loss_mask: 0.5112, decode.d6.loss_dice: 0.7427, decode.d7.loss_cls: 0.2588, decode.d7.loss_mask: 0.5095, decode.d7.loss_dice: 0.7435, decode.d8.loss_cls: 0.2558, decode.d8.loss_mask: 0.5109, decode.d8.loss_dice: 0.7456, loss: 16.4668, grad_norm: 45.4037 2023-11-12 08:50:04,012 - mmseg - INFO - Iter [71900/160000] lr: 5.506e-05, eta: 12:21:00, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2847, decode.loss_mask: 0.5041, decode.loss_dice: 0.7639, decode.d0.loss_cls: 1.2642, decode.d0.loss_mask: 0.5405, decode.d0.loss_dice: 0.8430, decode.d1.loss_cls: 0.3601, decode.d1.loss_mask: 0.5179, decode.d1.loss_dice: 0.8082, decode.d2.loss_cls: 0.3216, decode.d2.loss_mask: 0.5102, decode.d2.loss_dice: 0.7799, decode.d3.loss_cls: 0.3030, decode.d3.loss_mask: 0.5043, decode.d3.loss_dice: 0.7661, decode.d4.loss_cls: 0.2927, decode.d4.loss_mask: 0.5048, decode.d4.loss_dice: 0.7656, decode.d5.loss_cls: 0.2874, decode.d5.loss_mask: 0.5042, decode.d5.loss_dice: 0.7710, decode.d6.loss_cls: 0.2875, decode.d6.loss_mask: 0.5051, decode.d6.loss_dice: 0.7657, decode.d7.loss_cls: 0.2844, decode.d7.loss_mask: 0.5060, decode.d7.loss_dice: 0.7688, decode.d8.loss_cls: 0.2814, decode.d8.loss_mask: 0.5064, decode.d8.loss_dice: 0.7666, loss: 16.8692, grad_norm: 48.8724 2023-11-12 08:50:28,077 - mmseg - INFO - Iter [71950/160000] lr: 5.503e-05, eta: 12:20:33, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2724, decode.loss_mask: 0.5042, decode.loss_dice: 0.7684, decode.d0.loss_cls: 1.2641, decode.d0.loss_mask: 0.5388, decode.d0.loss_dice: 0.8442, decode.d1.loss_cls: 0.3455, decode.d1.loss_mask: 0.5210, decode.d1.loss_dice: 0.8109, decode.d2.loss_cls: 0.3042, decode.d2.loss_mask: 0.5119, decode.d2.loss_dice: 0.7824, decode.d3.loss_cls: 0.2863, decode.d3.loss_mask: 0.5073, decode.d3.loss_dice: 0.7755, decode.d4.loss_cls: 0.2786, decode.d4.loss_mask: 0.5065, decode.d4.loss_dice: 0.7699, decode.d5.loss_cls: 0.2753, decode.d5.loss_mask: 0.5054, decode.d5.loss_dice: 0.7766, decode.d6.loss_cls: 0.2716, decode.d6.loss_mask: 0.5067, decode.d6.loss_dice: 0.7702, decode.d7.loss_cls: 0.2703, decode.d7.loss_mask: 0.5062, decode.d7.loss_dice: 0.7688, decode.d8.loss_cls: 0.2700, decode.d8.loss_mask: 0.5054, decode.d8.loss_dice: 0.7733, loss: 16.7917, grad_norm: 48.4994 2023-11-12 08:50:54,183 - mmseg - INFO - Saving checkpoint at 72000 iterations 2023-11-12 08:50:58,197 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 08:50:58,198 - mmseg - INFO - Iter [72000/160000] lr: 5.500e-05, eta: 12:20:14, time: 0.603, data_time: 0.059, memory: 41146, decode.loss_cls: 0.2650, decode.loss_mask: 0.5036, decode.loss_dice: 0.7563, decode.d0.loss_cls: 1.2568, decode.d0.loss_mask: 0.5469, decode.d0.loss_dice: 0.8344, decode.d1.loss_cls: 0.3339, decode.d1.loss_mask: 0.5225, decode.d1.loss_dice: 0.8061, decode.d2.loss_cls: 0.2904, decode.d2.loss_mask: 0.5160, decode.d2.loss_dice: 0.7882, decode.d3.loss_cls: 0.2792, decode.d3.loss_mask: 0.5061, decode.d3.loss_dice: 0.7695, decode.d4.loss_cls: 0.2707, decode.d4.loss_mask: 0.5089, decode.d4.loss_dice: 0.7707, decode.d5.loss_cls: 0.2684, decode.d5.loss_mask: 0.5078, decode.d5.loss_dice: 0.7675, decode.d6.loss_cls: 0.2654, decode.d6.loss_mask: 0.5057, decode.d6.loss_dice: 0.7597, decode.d7.loss_cls: 0.2643, decode.d7.loss_mask: 0.5031, decode.d7.loss_dice: 0.7642, decode.d8.loss_cls: 0.2624, decode.d8.loss_mask: 0.5051, decode.d8.loss_dice: 0.7636, loss: 16.6626, grad_norm: 48.4183 2023-11-12 08:51:17,135 - mmseg - INFO - per class results: 2023-11-12 08:51:17,141 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.62 | 87.14 | | building | 82.39 | 90.73 | | sky | 94.68 | 97.56 | | floor | 82.47 | 90.41 | | tree | 76.18 | 86.73 | | ceiling | 85.37 | 91.41 | | road | 84.99 | 90.24 | | bed | 90.5 | 95.52 | | windowpane | 63.08 | 80.12 | | grass | 66.74 | 79.06 | | cabinet | 63.2 | 76.53 | | sidewalk | 69.02 | 83.43 | | person | 85.11 | 91.62 | | earth | 41.03 | 60.51 | | door | 50.92 | 71.21 | | table | 63.57 | 78.3 | | mountain | 60.59 | 69.39 | | plant | 54.52 | 69.66 | | curtain | 79.07 | 86.74 | | chair | 60.87 | 76.9 | | car | 86.98 | 93.52 | | water | 56.44 | 73.95 | | painting | 73.44 | 90.45 | | sofa | 73.49 | 85.02 | | shelf | 41.54 | 55.92 | | house | 43.51 | 59.25 | | sea | 70.4 | 89.86 | | mirror | 67.85 | 82.34 | | rug | 64.91 | 77.98 | | field | 28.9 | 52.59 | | armchair | 50.52 | 71.71 | | seat | 57.8 | 81.38 | | fence | 51.89 | 65.75 | | desk | 51.35 | 70.73 | | rock | 48.28 | 75.9 | | wardrobe | 43.04 | 62.11 | | lamp | 69.68 | 83.91 | | bathtub | 75.65 | 88.8 | | railing | 34.83 | 52.21 | | cushion | 64.43 | 79.19 | | base | 33.15 | 59.32 | | box | 27.08 | 36.18 | | column | 44.26 | 62.28 | | signboard | 38.89 | 56.19 | | chest of drawers | 44.55 | 67.94 | | counter | 29.29 | 42.85 | | sand | 38.48 | 49.93 | | sink | 77.98 | 86.12 | | skyscraper | 35.76 | 46.56 | | fireplace | 72.34 | 91.47 | | refrigerator | 76.1 | 83.69 | | grandstand | 44.78 | 72.06 | | path | 26.06 | 41.23 | | stairs | 33.51 | 42.26 | | runway | 82.91 | 83.74 | | case | 50.44 | 58.2 | | pool table | 94.05 | 96.48 | | pillow | 64.23 | 74.75 | | screen door | 69.98 | 80.97 | | stairway | 37.79 | 48.73 | | river | 12.01 | 15.77 | | bridge | 73.95 | 85.4 | | bookcase | 36.07 | 58.57 | | blind | 45.56 | 58.54 | | coffee table | 63.76 | 81.37 | | toilet | 88.54 | 91.82 | | flower | 45.91 | 66.09 | | book | 52.46 | 77.13 | | hill | 7.43 | 14.29 | | bench | 45.81 | 55.27 | | countertop | 58.25 | 72.48 | | stove | 87.25 | 92.74 | | palm | 57.41 | 72.01 | | kitchen island | 49.36 | 85.04 | | computer | 72.46 | 78.93 | | swivel chair | 39.87 | 54.55 | | boat | 64.64 | 89.07 | | bar | 37.48 | 43.0 | | arcade machine | 46.5 | 49.41 | | hovel | 46.83 | 71.83 | | bus | 91.95 | 96.11 | | towel | 70.12 | 80.57 | | light | 61.95 | 74.77 | | truck | 39.84 | 58.5 | | tower | 40.68 | 69.47 | | chandelier | 71.31 | 87.2 | | awning | 37.51 | 48.69 | | streetlight | 43.69 | 60.55 | | booth | 33.89 | 50.17 | | television receiver | 76.0 | 83.51 | | airplane | 78.12 | 89.53 | | dirt track | 2.22 | 11.19 | | apparel | 30.32 | 49.7 | | pole | 33.88 | 58.51 | | land | 6.23 | 8.68 | | bannister | 16.88 | 35.0 | | escalator | 20.4 | 22.35 | | ottoman | 54.4 | 73.37 | | bottle | 36.0 | 45.03 | | buffet | 38.9 | 51.73 | | poster | 28.68 | 41.84 | | stage | 19.46 | 29.48 | | van | 47.45 | 76.46 | | ship | 11.07 | 17.39 | | fountain | 17.89 | 21.86 | | conveyer belt | 48.72 | 73.68 | | canopy | 34.89 | 64.18 | | washer | 71.25 | 73.24 | | plaything | 41.84 | 67.71 | | swimming pool | 63.19 | 63.45 | | stool | 50.43 | 71.34 | | barrel | 70.78 | 97.91 | | basket | 36.17 | 51.39 | | waterfall | 42.57 | 63.4 | | tent | 73.88 | 97.94 | | bag | 21.08 | 31.18 | | minibike | 74.53 | 91.95 | | cradle | 86.03 | 97.77 | | oven | 23.17 | 67.75 | | ball | 50.09 | 70.23 | | food | 63.78 | 82.09 | | step | 19.6 | 31.63 | | tank | 62.66 | 65.98 | | trade name | 28.31 | 36.94 | | microwave | 36.78 | 40.68 | | pot | 50.77 | 62.71 | | animal | 60.22 | 62.21 | | bicycle | 59.63 | 82.4 | | lake | 0.08 | 0.16 | | dishwasher | 79.36 | 88.79 | | screen | 64.17 | 95.11 | | blanket | 27.0 | 36.43 | | sculpture | 56.47 | 87.49 | | hood | 73.9 | 87.01 | | sconce | 51.5 | 66.17 | | vase | 45.75 | 70.39 | | traffic light | 40.75 | 73.8 | | tray | 21.73 | 32.02 | | ashcan | 49.79 | 73.03 | | fan | 69.74 | 84.88 | | pier | 34.07 | 42.93 | | crt screen | 5.31 | 13.99 | | plate | 58.35 | 77.23 | | monitor | 10.77 | 16.15 | | bulletin board | 49.41 | 72.79 | | shower | 11.25 | 26.23 | | radiator | 71.48 | 86.68 | | glass | 20.49 | 22.93 | | clock | 36.2 | 42.91 | | flag | 46.15 | 55.06 | +---------------------+-------+-------+ 2023-11-12 08:51:17,141 - mmseg - INFO - Summary: 2023-11-12 08:51:17,141 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.78 | 51.63 | 65.88 | +-------+-------+-------+ 2023-11-12 08:51:17,141 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 08:51:17,142 - mmseg - INFO - Iter(val) [250] aAcc: 0.8378, mIoU: 0.5163, mAcc: 0.6588, IoU.wall: 0.7862, IoU.building: 0.8239, IoU.sky: 0.9468, IoU.floor: 0.8247, IoU.tree: 0.7618, IoU.ceiling: 0.8537, IoU.road: 0.8499, IoU.bed : 0.9050, IoU.windowpane: 0.6308, IoU.grass: 0.6674, IoU.cabinet: 0.6320, IoU.sidewalk: 0.6902, IoU.person: 0.8511, IoU.earth: 0.4103, IoU.door: 0.5092, IoU.table: 0.6357, IoU.mountain: 0.6059, IoU.plant: 0.5452, IoU.curtain: 0.7907, IoU.chair: 0.6087, IoU.car: 0.8698, IoU.water: 0.5644, IoU.painting: 0.7344, IoU.sofa: 0.7349, IoU.shelf: 0.4154, IoU.house: 0.4351, IoU.sea: 0.7040, IoU.mirror: 0.6785, IoU.rug: 0.6491, IoU.field: 0.2890, IoU.armchair: 0.5052, IoU.seat: 0.5780, IoU.fence: 0.5189, IoU.desk: 0.5135, IoU.rock: 0.4828, IoU.wardrobe: 0.4304, IoU.lamp: 0.6968, IoU.bathtub: 0.7565, IoU.railing: 0.3483, IoU.cushion: 0.6443, IoU.base: 0.3315, IoU.box: 0.2708, IoU.column: 0.4426, IoU.signboard: 0.3889, IoU.chest of drawers: 0.4455, IoU.counter: 0.2929, IoU.sand: 0.3848, IoU.sink: 0.7798, IoU.skyscraper: 0.3576, IoU.fireplace: 0.7234, IoU.refrigerator: 0.7610, IoU.grandstand: 0.4478, IoU.path: 0.2606, IoU.stairs: 0.3351, IoU.runway: 0.8291, IoU.case: 0.5044, IoU.pool table: 0.9405, IoU.pillow: 0.6423, IoU.screen door: 0.6998, IoU.stairway: 0.3779, IoU.river: 0.1201, IoU.bridge: 0.7395, IoU.bookcase: 0.3607, IoU.blind: 0.4556, IoU.coffee table: 0.6376, IoU.toilet: 0.8854, IoU.flower: 0.4591, IoU.book: 0.5246, IoU.hill: 0.0743, IoU.bench: 0.4581, IoU.countertop: 0.5825, IoU.stove: 0.8725, IoU.palm: 0.5741, IoU.kitchen island: 0.4936, IoU.computer: 0.7246, IoU.swivel chair: 0.3987, IoU.boat: 0.6464, IoU.bar: 0.3748, IoU.arcade machine: 0.4650, IoU.hovel: 0.4683, IoU.bus: 0.9195, IoU.towel: 0.7012, IoU.light: 0.6195, IoU.truck: 0.3984, IoU.tower: 0.4068, IoU.chandelier: 0.7131, IoU.awning: 0.3751, IoU.streetlight: 0.4369, IoU.booth: 0.3389, IoU.television receiver: 0.7600, IoU.airplane: 0.7812, IoU.dirt track: 0.0222, IoU.apparel: 0.3032, IoU.pole: 0.3388, IoU.land: 0.0623, IoU.bannister: 0.1688, IoU.escalator: 0.2040, IoU.ottoman: 0.5440, IoU.bottle: 0.3600, IoU.buffet: 0.3890, IoU.poster: 0.2868, IoU.stage: 0.1946, IoU.van: 0.4745, IoU.ship: 0.1107, IoU.fountain: 0.1789, IoU.conveyer belt: 0.4872, IoU.canopy: 0.3489, IoU.washer: 0.7125, IoU.plaything: 0.4184, IoU.swimming pool: 0.6319, IoU.stool: 0.5043, IoU.barrel: 0.7078, IoU.basket: 0.3617, IoU.waterfall: 0.4257, IoU.tent: 0.7388, IoU.bag: 0.2108, IoU.minibike: 0.7453, IoU.cradle: 0.8603, IoU.oven: 0.2317, IoU.ball: 0.5009, IoU.food: 0.6378, IoU.step: 0.1960, IoU.tank: 0.6266, IoU.trade name: 0.2831, IoU.microwave: 0.3678, IoU.pot: 0.5077, IoU.animal: 0.6022, IoU.bicycle: 0.5963, IoU.lake: 0.0008, IoU.dishwasher: 0.7936, IoU.screen: 0.6417, IoU.blanket: 0.2700, IoU.sculpture: 0.5647, IoU.hood: 0.7390, IoU.sconce: 0.5150, IoU.vase: 0.4575, IoU.traffic light: 0.4075, IoU.tray: 0.2173, IoU.ashcan: 0.4979, IoU.fan: 0.6974, IoU.pier: 0.3407, IoU.crt screen: 0.0531, IoU.plate: 0.5835, IoU.monitor: 0.1077, IoU.bulletin board: 0.4941, IoU.shower: 0.1125, IoU.radiator: 0.7148, IoU.glass: 0.2049, IoU.clock: 0.3620, IoU.flag: 0.4615, Acc.wall: 0.8714, Acc.building: 0.9073, Acc.sky: 0.9756, Acc.floor: 0.9041, Acc.tree: 0.8673, Acc.ceiling: 0.9141, Acc.road: 0.9024, Acc.bed : 0.9552, Acc.windowpane: 0.8012, Acc.grass: 0.7906, Acc.cabinet: 0.7653, Acc.sidewalk: 0.8343, Acc.person: 0.9162, Acc.earth: 0.6051, Acc.door: 0.7121, Acc.table: 0.7830, Acc.mountain: 0.6939, Acc.plant: 0.6966, Acc.curtain: 0.8674, Acc.chair: 0.7690, Acc.car: 0.9352, Acc.water: 0.7395, Acc.painting: 0.9045, Acc.sofa: 0.8502, Acc.shelf: 0.5592, Acc.house: 0.5925, Acc.sea: 0.8986, Acc.mirror: 0.8234, Acc.rug: 0.7798, Acc.field: 0.5259, Acc.armchair: 0.7171, Acc.seat: 0.8138, Acc.fence: 0.6575, Acc.desk: 0.7073, Acc.rock: 0.7590, Acc.wardrobe: 0.6211, Acc.lamp: 0.8391, Acc.bathtub: 0.8880, Acc.railing: 0.5221, Acc.cushion: 0.7919, Acc.base: 0.5932, Acc.box: 0.3618, Acc.column: 0.6228, Acc.signboard: 0.5619, Acc.chest of drawers: 0.6794, Acc.counter: 0.4285, Acc.sand: 0.4993, Acc.sink: 0.8612, Acc.skyscraper: 0.4656, Acc.fireplace: 0.9147, Acc.refrigerator: 0.8369, Acc.grandstand: 0.7206, Acc.path: 0.4123, Acc.stairs: 0.4226, Acc.runway: 0.8374, Acc.case: 0.5820, Acc.pool table: 0.9648, Acc.pillow: 0.7475, Acc.screen door: 0.8097, Acc.stairway: 0.4873, Acc.river: 0.1577, Acc.bridge: 0.8540, Acc.bookcase: 0.5857, Acc.blind: 0.5854, Acc.coffee table: 0.8137, Acc.toilet: 0.9182, Acc.flower: 0.6609, Acc.book: 0.7713, Acc.hill: 0.1429, Acc.bench: 0.5527, Acc.countertop: 0.7248, Acc.stove: 0.9274, Acc.palm: 0.7201, Acc.kitchen island: 0.8504, Acc.computer: 0.7893, Acc.swivel chair: 0.5455, Acc.boat: 0.8907, Acc.bar: 0.4300, Acc.arcade machine: 0.4941, Acc.hovel: 0.7183, Acc.bus: 0.9611, Acc.towel: 0.8057, Acc.light: 0.7477, Acc.truck: 0.5850, Acc.tower: 0.6947, Acc.chandelier: 0.8720, Acc.awning: 0.4869, Acc.streetlight: 0.6055, Acc.booth: 0.5017, Acc.television receiver: 0.8351, Acc.airplane: 0.8953, Acc.dirt track: 0.1119, Acc.apparel: 0.4970, Acc.pole: 0.5851, Acc.land: 0.0868, Acc.bannister: 0.3500, Acc.escalator: 0.2235, Acc.ottoman: 0.7337, Acc.bottle: 0.4503, Acc.buffet: 0.5173, Acc.poster: 0.4184, Acc.stage: 0.2948, Acc.van: 0.7646, Acc.ship: 0.1739, Acc.fountain: 0.2186, Acc.conveyer belt: 0.7368, Acc.canopy: 0.6418, Acc.washer: 0.7324, Acc.plaything: 0.6771, Acc.swimming pool: 0.6345, Acc.stool: 0.7134, Acc.barrel: 0.9791, Acc.basket: 0.5139, Acc.waterfall: 0.6340, Acc.tent: 0.9794, Acc.bag: 0.3118, Acc.minibike: 0.9195, Acc.cradle: 0.9777, Acc.oven: 0.6775, Acc.ball: 0.7023, Acc.food: 0.8209, Acc.step: 0.3163, Acc.tank: 0.6598, Acc.trade name: 0.3694, Acc.microwave: 0.4068, Acc.pot: 0.6271, Acc.animal: 0.6221, Acc.bicycle: 0.8240, Acc.lake: 0.0016, Acc.dishwasher: 0.8879, Acc.screen: 0.9511, Acc.blanket: 0.3643, Acc.sculpture: 0.8749, Acc.hood: 0.8701, Acc.sconce: 0.6617, Acc.vase: 0.7039, Acc.traffic light: 0.7380, Acc.tray: 0.3202, Acc.ashcan: 0.7303, Acc.fan: 0.8488, Acc.pier: 0.4293, Acc.crt screen: 0.1399, Acc.plate: 0.7723, Acc.monitor: 0.1615, Acc.bulletin board: 0.7279, Acc.shower: 0.2623, Acc.radiator: 0.8668, Acc.glass: 0.2293, Acc.clock: 0.4291, Acc.flag: 0.5506 2023-11-12 08:51:41,312 - mmseg - INFO - Iter [72050/160000] lr: 5.497e-05, eta: 12:20:10, time: 0.862, data_time: 0.391, memory: 41146, decode.loss_cls: 0.2619, decode.loss_mask: 0.4937, decode.loss_dice: 0.7265, decode.d0.loss_cls: 1.2769, decode.d0.loss_mask: 0.5270, decode.d0.loss_dice: 0.7970, decode.d1.loss_cls: 0.3424, decode.d1.loss_mask: 0.5091, decode.d1.loss_dice: 0.7673, decode.d2.loss_cls: 0.2975, decode.d2.loss_mask: 0.4992, decode.d2.loss_dice: 0.7426, decode.d3.loss_cls: 0.2849, decode.d3.loss_mask: 0.4940, decode.d3.loss_dice: 0.7279, decode.d4.loss_cls: 0.2685, decode.d4.loss_mask: 0.4961, decode.d4.loss_dice: 0.7254, decode.d5.loss_cls: 0.2694, decode.d5.loss_mask: 0.4927, decode.d5.loss_dice: 0.7271, decode.d6.loss_cls: 0.2687, decode.d6.loss_mask: 0.4923, decode.d6.loss_dice: 0.7209, decode.d7.loss_cls: 0.2647, decode.d7.loss_mask: 0.4919, decode.d7.loss_dice: 0.7223, decode.d8.loss_cls: 0.2595, decode.d8.loss_mask: 0.4925, decode.d8.loss_dice: 0.7242, loss: 16.1641, grad_norm: 47.0447 2023-11-12 08:52:05,410 - mmseg - INFO - Iter [72100/160000] lr: 5.494e-05, eta: 12:19:44, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2340, decode.loss_mask: 0.4911, decode.loss_dice: 0.7295, decode.d0.loss_cls: 1.2059, decode.d0.loss_mask: 0.5296, decode.d0.loss_dice: 0.7842, decode.d1.loss_cls: 0.3033, decode.d1.loss_mask: 0.5081, decode.d1.loss_dice: 0.7570, decode.d2.loss_cls: 0.2645, decode.d2.loss_mask: 0.4999, decode.d2.loss_dice: 0.7359, decode.d3.loss_cls: 0.2526, decode.d3.loss_mask: 0.4909, decode.d3.loss_dice: 0.7309, decode.d4.loss_cls: 0.2408, decode.d4.loss_mask: 0.4910, decode.d4.loss_dice: 0.7296, decode.d5.loss_cls: 0.2391, decode.d5.loss_mask: 0.4906, decode.d5.loss_dice: 0.7286, decode.d6.loss_cls: 0.2417, decode.d6.loss_mask: 0.4905, decode.d6.loss_dice: 0.7232, decode.d7.loss_cls: 0.2364, decode.d7.loss_mask: 0.4914, decode.d7.loss_dice: 0.7252, decode.d8.loss_cls: 0.2357, decode.d8.loss_mask: 0.4910, decode.d8.loss_dice: 0.7266, loss: 15.7990, grad_norm: 49.1096 2023-11-12 08:52:29,472 - mmseg - INFO - Iter [72150/160000] lr: 5.491e-05, eta: 12:19:17, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2674, decode.loss_mask: 0.4860, decode.loss_dice: 0.7399, decode.d0.loss_cls: 1.2559, decode.d0.loss_mask: 0.5226, decode.d0.loss_dice: 0.8266, decode.d1.loss_cls: 0.3388, decode.d1.loss_mask: 0.5022, decode.d1.loss_dice: 0.7860, decode.d2.loss_cls: 0.2939, decode.d2.loss_mask: 0.4954, decode.d2.loss_dice: 0.7588, decode.d3.loss_cls: 0.2816, decode.d3.loss_mask: 0.4904, decode.d3.loss_dice: 0.7463, decode.d4.loss_cls: 0.2765, decode.d4.loss_mask: 0.4890, decode.d4.loss_dice: 0.7452, decode.d5.loss_cls: 0.2704, decode.d5.loss_mask: 0.4896, decode.d5.loss_dice: 0.7448, decode.d6.loss_cls: 0.2709, decode.d6.loss_mask: 0.4868, decode.d6.loss_dice: 0.7407, decode.d7.loss_cls: 0.2645, decode.d7.loss_mask: 0.4869, decode.d7.loss_dice: 0.7430, decode.d8.loss_cls: 0.2681, decode.d8.loss_mask: 0.4868, decode.d8.loss_dice: 0.7439, loss: 16.2988, grad_norm: 46.7787 2023-11-12 08:52:53,534 - mmseg - INFO - Iter [72200/160000] lr: 5.488e-05, eta: 12:18:50, time: 0.481, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2839, decode.loss_mask: 0.4904, decode.loss_dice: 0.7768, decode.d0.loss_cls: 1.2809, decode.d0.loss_mask: 0.5249, decode.d0.loss_dice: 0.8500, decode.d1.loss_cls: 0.3569, decode.d1.loss_mask: 0.5116, decode.d1.loss_dice: 0.8229, decode.d2.loss_cls: 0.3153, decode.d2.loss_mask: 0.5033, decode.d2.loss_dice: 0.8055, decode.d3.loss_cls: 0.2955, decode.d3.loss_mask: 0.4940, decode.d3.loss_dice: 0.7858, decode.d4.loss_cls: 0.2883, decode.d4.loss_mask: 0.4935, decode.d4.loss_dice: 0.7838, decode.d5.loss_cls: 0.2900, decode.d5.loss_mask: 0.4956, decode.d5.loss_dice: 0.7833, decode.d6.loss_cls: 0.2864, decode.d6.loss_mask: 0.4901, decode.d6.loss_dice: 0.7773, decode.d7.loss_cls: 0.2842, decode.d7.loss_mask: 0.4895, decode.d7.loss_dice: 0.7815, decode.d8.loss_cls: 0.2859, decode.d8.loss_mask: 0.4903, decode.d8.loss_dice: 0.7822, loss: 16.8992, grad_norm: 47.0101 2023-11-12 08:53:17,340 - mmseg - INFO - Iter [72250/160000] lr: 5.484e-05, eta: 12:18:23, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2593, decode.loss_mask: 0.5031, decode.loss_dice: 0.7216, decode.d0.loss_cls: 1.2070, decode.d0.loss_mask: 0.5384, decode.d0.loss_dice: 0.7942, decode.d1.loss_cls: 0.3295, decode.d1.loss_mask: 0.5193, decode.d1.loss_dice: 0.7681, decode.d2.loss_cls: 0.2841, decode.d2.loss_mask: 0.5114, decode.d2.loss_dice: 0.7442, decode.d3.loss_cls: 0.2772, decode.d3.loss_mask: 0.5090, decode.d3.loss_dice: 0.7298, decode.d4.loss_cls: 0.2649, decode.d4.loss_mask: 0.5066, decode.d4.loss_dice: 0.7242, decode.d5.loss_cls: 0.2628, decode.d5.loss_mask: 0.5077, decode.d5.loss_dice: 0.7260, decode.d6.loss_cls: 0.2613, decode.d6.loss_mask: 0.5026, decode.d6.loss_dice: 0.7223, decode.d7.loss_cls: 0.2548, decode.d7.loss_mask: 0.5054, decode.d7.loss_dice: 0.7229, decode.d8.loss_cls: 0.2543, decode.d8.loss_mask: 0.5035, decode.d8.loss_dice: 0.7261, loss: 16.1416, grad_norm: 47.5325 2023-11-12 08:53:41,158 - mmseg - INFO - Iter [72300/160000] lr: 5.481e-05, eta: 12:17:56, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2773, decode.loss_mask: 0.4921, decode.loss_dice: 0.7439, decode.d0.loss_cls: 1.2969, decode.d0.loss_mask: 0.5277, decode.d0.loss_dice: 0.8130, decode.d1.loss_cls: 0.3493, decode.d1.loss_mask: 0.5111, decode.d1.loss_dice: 0.7799, decode.d2.loss_cls: 0.3097, decode.d2.loss_mask: 0.4973, decode.d2.loss_dice: 0.7576, decode.d3.loss_cls: 0.2974, decode.d3.loss_mask: 0.4926, decode.d3.loss_dice: 0.7441, decode.d4.loss_cls: 0.2849, decode.d4.loss_mask: 0.4912, decode.d4.loss_dice: 0.7465, decode.d5.loss_cls: 0.2743, decode.d5.loss_mask: 0.4954, decode.d5.loss_dice: 0.7440, decode.d6.loss_cls: 0.2733, decode.d6.loss_mask: 0.4928, decode.d6.loss_dice: 0.7413, decode.d7.loss_cls: 0.2742, decode.d7.loss_mask: 0.4922, decode.d7.loss_dice: 0.7459, decode.d8.loss_cls: 0.2708, decode.d8.loss_mask: 0.4933, decode.d8.loss_dice: 0.7476, loss: 16.4574, grad_norm: 48.2267 2023-11-12 08:54:05,016 - mmseg - INFO - Iter [72350/160000] lr: 5.478e-05, eta: 12:17:29, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2549, decode.loss_mask: 0.4961, decode.loss_dice: 0.7509, decode.d0.loss_cls: 1.2369, decode.d0.loss_mask: 0.5337, decode.d0.loss_dice: 0.8403, decode.d1.loss_cls: 0.3355, decode.d1.loss_mask: 0.5127, decode.d1.loss_dice: 0.7951, decode.d2.loss_cls: 0.2928, decode.d2.loss_mask: 0.5044, decode.d2.loss_dice: 0.7687, decode.d3.loss_cls: 0.2745, decode.d3.loss_mask: 0.5005, decode.d3.loss_dice: 0.7580, decode.d4.loss_cls: 0.2668, decode.d4.loss_mask: 0.4975, decode.d4.loss_dice: 0.7571, decode.d5.loss_cls: 0.2547, decode.d5.loss_mask: 0.4976, decode.d5.loss_dice: 0.7571, decode.d6.loss_cls: 0.2597, decode.d6.loss_mask: 0.4965, decode.d6.loss_dice: 0.7540, decode.d7.loss_cls: 0.2561, decode.d7.loss_mask: 0.4977, decode.d7.loss_dice: 0.7570, decode.d8.loss_cls: 0.2524, decode.d8.loss_mask: 0.4959, decode.d8.loss_dice: 0.7546, loss: 16.4096, grad_norm: 49.4787 2023-11-12 08:54:29,014 - mmseg - INFO - Iter [72400/160000] lr: 5.475e-05, eta: 12:17:03, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2580, decode.loss_mask: 0.5022, decode.loss_dice: 0.7412, decode.d0.loss_cls: 1.2462, decode.d0.loss_mask: 0.5364, decode.d0.loss_dice: 0.8180, decode.d1.loss_cls: 0.3258, decode.d1.loss_mask: 0.5178, decode.d1.loss_dice: 0.7855, decode.d2.loss_cls: 0.2884, decode.d2.loss_mask: 0.5099, decode.d2.loss_dice: 0.7703, decode.d3.loss_cls: 0.2751, decode.d3.loss_mask: 0.5050, decode.d3.loss_dice: 0.7539, decode.d4.loss_cls: 0.2654, decode.d4.loss_mask: 0.5026, decode.d4.loss_dice: 0.7523, decode.d5.loss_cls: 0.2631, decode.d5.loss_mask: 0.5033, decode.d5.loss_dice: 0.7498, decode.d6.loss_cls: 0.2632, decode.d6.loss_mask: 0.5019, decode.d6.loss_dice: 0.7483, decode.d7.loss_cls: 0.2572, decode.d7.loss_mask: 0.5031, decode.d7.loss_dice: 0.7458, decode.d8.loss_cls: 0.2525, decode.d8.loss_mask: 0.5028, decode.d8.loss_dice: 0.7452, loss: 16.3900, grad_norm: 45.6963 2023-11-12 08:54:53,235 - mmseg - INFO - Iter [72450/160000] lr: 5.472e-05, eta: 12:16:36, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2603, decode.loss_mask: 0.4984, decode.loss_dice: 0.7633, decode.d0.loss_cls: 1.2460, decode.d0.loss_mask: 0.5335, decode.d0.loss_dice: 0.8257, decode.d1.loss_cls: 0.3362, decode.d1.loss_mask: 0.5148, decode.d1.loss_dice: 0.7988, decode.d2.loss_cls: 0.2968, decode.d2.loss_mask: 0.5072, decode.d2.loss_dice: 0.7847, decode.d3.loss_cls: 0.2835, decode.d3.loss_mask: 0.5015, decode.d3.loss_dice: 0.7699, decode.d4.loss_cls: 0.2794, decode.d4.loss_mask: 0.5005, decode.d4.loss_dice: 0.7605, decode.d5.loss_cls: 0.2689, decode.d5.loss_mask: 0.5013, decode.d5.loss_dice: 0.7660, decode.d6.loss_cls: 0.2699, decode.d6.loss_mask: 0.4974, decode.d6.loss_dice: 0.7615, decode.d7.loss_cls: 0.2656, decode.d7.loss_mask: 0.4987, decode.d7.loss_dice: 0.7647, decode.d8.loss_cls: 0.2620, decode.d8.loss_mask: 0.4969, decode.d8.loss_dice: 0.7637, loss: 16.5775, grad_norm: 50.0445 2023-11-12 08:55:17,300 - mmseg - INFO - Iter [72500/160000] lr: 5.469e-05, eta: 12:16:10, time: 0.481, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2619, decode.loss_mask: 0.4812, decode.loss_dice: 0.7359, decode.d0.loss_cls: 1.2657, decode.d0.loss_mask: 0.5165, decode.d0.loss_dice: 0.8172, decode.d1.loss_cls: 0.3351, decode.d1.loss_mask: 0.4977, decode.d1.loss_dice: 0.7836, decode.d2.loss_cls: 0.2935, decode.d2.loss_mask: 0.4921, decode.d2.loss_dice: 0.7651, decode.d3.loss_cls: 0.2800, decode.d3.loss_mask: 0.4829, decode.d3.loss_dice: 0.7436, decode.d4.loss_cls: 0.2676, decode.d4.loss_mask: 0.4808, decode.d4.loss_dice: 0.7419, decode.d5.loss_cls: 0.2642, decode.d5.loss_mask: 0.4811, decode.d5.loss_dice: 0.7418, decode.d6.loss_cls: 0.2672, decode.d6.loss_mask: 0.4812, decode.d6.loss_dice: 0.7365, decode.d7.loss_cls: 0.2593, decode.d7.loss_mask: 0.4812, decode.d7.loss_dice: 0.7364, decode.d8.loss_cls: 0.2568, decode.d8.loss_mask: 0.4820, decode.d8.loss_dice: 0.7404, loss: 16.1704, grad_norm: 48.5990 2023-11-12 08:55:41,222 - mmseg - INFO - Iter [72550/160000] lr: 5.466e-05, eta: 12:15:43, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2617, decode.loss_mask: 0.5012, decode.loss_dice: 0.7444, decode.d0.loss_cls: 1.2745, decode.d0.loss_mask: 0.5371, decode.d0.loss_dice: 0.8086, decode.d1.loss_cls: 0.3413, decode.d1.loss_mask: 0.5163, decode.d1.loss_dice: 0.7820, decode.d2.loss_cls: 0.2975, decode.d2.loss_mask: 0.5083, decode.d2.loss_dice: 0.7597, decode.d3.loss_cls: 0.2814, decode.d3.loss_mask: 0.5050, decode.d3.loss_dice: 0.7480, decode.d4.loss_cls: 0.2731, decode.d4.loss_mask: 0.5031, decode.d4.loss_dice: 0.7488, decode.d5.loss_cls: 0.2686, decode.d5.loss_mask: 0.5036, decode.d5.loss_dice: 0.7472, decode.d6.loss_cls: 0.2660, decode.d6.loss_mask: 0.5036, decode.d6.loss_dice: 0.7423, decode.d7.loss_cls: 0.2646, decode.d7.loss_mask: 0.5027, decode.d7.loss_dice: 0.7421, decode.d8.loss_cls: 0.2609, decode.d8.loss_mask: 0.5031, decode.d8.loss_dice: 0.7452, loss: 16.4419, grad_norm: 46.0920 2023-11-12 08:56:05,271 - mmseg - INFO - Iter [72600/160000] lr: 5.463e-05, eta: 12:15:16, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2402, decode.loss_mask: 0.5141, decode.loss_dice: 0.7361, decode.d0.loss_cls: 1.2342, decode.d0.loss_mask: 0.5498, decode.d0.loss_dice: 0.8071, decode.d1.loss_cls: 0.3128, decode.d1.loss_mask: 0.5322, decode.d1.loss_dice: 0.7763, decode.d2.loss_cls: 0.2726, decode.d2.loss_mask: 0.5226, decode.d2.loss_dice: 0.7554, decode.d3.loss_cls: 0.2639, decode.d3.loss_mask: 0.5153, decode.d3.loss_dice: 0.7400, decode.d4.loss_cls: 0.2528, decode.d4.loss_mask: 0.5156, decode.d4.loss_dice: 0.7417, decode.d5.loss_cls: 0.2592, decode.d5.loss_mask: 0.5133, decode.d5.loss_dice: 0.7398, decode.d6.loss_cls: 0.2545, decode.d6.loss_mask: 0.5129, decode.d6.loss_dice: 0.7368, decode.d7.loss_cls: 0.2478, decode.d7.loss_mask: 0.5145, decode.d7.loss_dice: 0.7336, decode.d8.loss_cls: 0.2476, decode.d8.loss_mask: 0.5134, decode.d8.loss_dice: 0.7367, loss: 16.2929, grad_norm: 48.8257 2023-11-12 08:56:29,341 - mmseg - INFO - Iter [72650/160000] lr: 5.459e-05, eta: 12:14:49, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2428, decode.loss_mask: 0.5041, decode.loss_dice: 0.7593, decode.d0.loss_cls: 1.2716, decode.d0.loss_mask: 0.5399, decode.d0.loss_dice: 0.8343, decode.d1.loss_cls: 0.3237, decode.d1.loss_mask: 0.5211, decode.d1.loss_dice: 0.8030, decode.d2.loss_cls: 0.2850, decode.d2.loss_mask: 0.5135, decode.d2.loss_dice: 0.7802, decode.d3.loss_cls: 0.2631, decode.d3.loss_mask: 0.5095, decode.d3.loss_dice: 0.7671, decode.d4.loss_cls: 0.2609, decode.d4.loss_mask: 0.5080, decode.d4.loss_dice: 0.7657, decode.d5.loss_cls: 0.2579, decode.d5.loss_mask: 0.5051, decode.d5.loss_dice: 0.7655, decode.d6.loss_cls: 0.2525, decode.d6.loss_mask: 0.5045, decode.d6.loss_dice: 0.7595, decode.d7.loss_cls: 0.2452, decode.d7.loss_mask: 0.5035, decode.d7.loss_dice: 0.7620, decode.d8.loss_cls: 0.2457, decode.d8.loss_mask: 0.5028, decode.d8.loss_dice: 0.7602, loss: 16.5172, grad_norm: 48.1080 2023-11-12 08:56:53,315 - mmseg - INFO - Iter [72700/160000] lr: 5.456e-05, eta: 12:14:23, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2596, decode.loss_mask: 0.5073, decode.loss_dice: 0.7609, decode.d0.loss_cls: 1.2624, decode.d0.loss_mask: 0.5436, decode.d0.loss_dice: 0.8312, decode.d1.loss_cls: 0.3476, decode.d1.loss_mask: 0.5223, decode.d1.loss_dice: 0.7998, decode.d2.loss_cls: 0.2989, decode.d2.loss_mask: 0.5145, decode.d2.loss_dice: 0.7758, decode.d3.loss_cls: 0.2780, decode.d3.loss_mask: 0.5097, decode.d3.loss_dice: 0.7624, decode.d4.loss_cls: 0.2684, decode.d4.loss_mask: 0.5086, decode.d4.loss_dice: 0.7671, decode.d5.loss_cls: 0.2629, decode.d5.loss_mask: 0.5107, decode.d5.loss_dice: 0.7630, decode.d6.loss_cls: 0.2605, decode.d6.loss_mask: 0.5082, decode.d6.loss_dice: 0.7552, decode.d7.loss_cls: 0.2576, decode.d7.loss_mask: 0.5101, decode.d7.loss_dice: 0.7631, decode.d8.loss_cls: 0.2572, decode.d8.loss_mask: 0.5095, decode.d8.loss_dice: 0.7639, loss: 16.6401, grad_norm: 52.1586 2023-11-12 08:57:17,270 - mmseg - INFO - Iter [72750/160000] lr: 5.453e-05, eta: 12:13:56, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2557, decode.loss_mask: 0.4744, decode.loss_dice: 0.7313, decode.d0.loss_cls: 1.2414, decode.d0.loss_mask: 0.5082, decode.d0.loss_dice: 0.8019, decode.d1.loss_cls: 0.3294, decode.d1.loss_mask: 0.4896, decode.d1.loss_dice: 0.7715, decode.d2.loss_cls: 0.2872, decode.d2.loss_mask: 0.4802, decode.d2.loss_dice: 0.7518, decode.d3.loss_cls: 0.2781, decode.d3.loss_mask: 0.4771, decode.d3.loss_dice: 0.7409, decode.d4.loss_cls: 0.2646, decode.d4.loss_mask: 0.4749, decode.d4.loss_dice: 0.7403, decode.d5.loss_cls: 0.2620, decode.d5.loss_mask: 0.4764, decode.d5.loss_dice: 0.7380, decode.d6.loss_cls: 0.2640, decode.d6.loss_mask: 0.4751, decode.d6.loss_dice: 0.7371, decode.d7.loss_cls: 0.2522, decode.d7.loss_mask: 0.4754, decode.d7.loss_dice: 0.7371, decode.d8.loss_cls: 0.2556, decode.d8.loss_mask: 0.4750, decode.d8.loss_dice: 0.7376, loss: 15.9839, grad_norm: 44.3177 2023-11-12 08:57:41,165 - mmseg - INFO - Iter [72800/160000] lr: 5.450e-05, eta: 12:13:29, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2805, decode.loss_mask: 0.4837, decode.loss_dice: 0.7243, decode.d0.loss_cls: 1.2469, decode.d0.loss_mask: 0.5201, decode.d0.loss_dice: 0.7997, decode.d1.loss_cls: 0.3516, decode.d1.loss_mask: 0.5040, decode.d1.loss_dice: 0.7774, decode.d2.loss_cls: 0.3103, decode.d2.loss_mask: 0.4932, decode.d2.loss_dice: 0.7533, decode.d3.loss_cls: 0.2963, decode.d3.loss_mask: 0.4878, decode.d3.loss_dice: 0.7350, decode.d4.loss_cls: 0.2887, decode.d4.loss_mask: 0.4875, decode.d4.loss_dice: 0.7370, decode.d5.loss_cls: 0.2871, decode.d5.loss_mask: 0.4847, decode.d5.loss_dice: 0.7279, decode.d6.loss_cls: 0.2846, decode.d6.loss_mask: 0.4804, decode.d6.loss_dice: 0.7227, decode.d7.loss_cls: 0.2835, decode.d7.loss_mask: 0.4820, decode.d7.loss_dice: 0.7247, decode.d8.loss_cls: 0.2803, decode.d8.loss_mask: 0.4818, decode.d8.loss_dice: 0.7243, loss: 16.2415, grad_norm: 48.8925 2023-11-12 08:58:05,213 - mmseg - INFO - Iter [72850/160000] lr: 5.447e-05, eta: 12:13:02, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2785, decode.loss_mask: 0.4955, decode.loss_dice: 0.7406, decode.d0.loss_cls: 1.2735, decode.d0.loss_mask: 0.5320, decode.d0.loss_dice: 0.8138, decode.d1.loss_cls: 0.3525, decode.d1.loss_mask: 0.5131, decode.d1.loss_dice: 0.7865, decode.d2.loss_cls: 0.3158, decode.d2.loss_mask: 0.5018, decode.d2.loss_dice: 0.7648, decode.d3.loss_cls: 0.3007, decode.d3.loss_mask: 0.4960, decode.d3.loss_dice: 0.7456, decode.d4.loss_cls: 0.2879, decode.d4.loss_mask: 0.4941, decode.d4.loss_dice: 0.7495, decode.d5.loss_cls: 0.2858, decode.d5.loss_mask: 0.4958, decode.d5.loss_dice: 0.7478, decode.d6.loss_cls: 0.2845, decode.d6.loss_mask: 0.4952, decode.d6.loss_dice: 0.7416, decode.d7.loss_cls: 0.2786, decode.d7.loss_mask: 0.4966, decode.d7.loss_dice: 0.7412, decode.d8.loss_cls: 0.2815, decode.d8.loss_mask: 0.4960, decode.d8.loss_dice: 0.7433, loss: 16.5303, grad_norm: 48.6585 2023-11-12 08:58:29,377 - mmseg - INFO - Iter [72900/160000] lr: 5.444e-05, eta: 12:12:36, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2844, decode.loss_mask: 0.5045, decode.loss_dice: 0.7589, decode.d0.loss_cls: 1.3039, decode.d0.loss_mask: 0.5456, decode.d0.loss_dice: 0.8411, decode.d1.loss_cls: 0.3768, decode.d1.loss_mask: 0.5210, decode.d1.loss_dice: 0.8058, decode.d2.loss_cls: 0.3310, decode.d2.loss_mask: 0.5138, decode.d2.loss_dice: 0.7810, decode.d3.loss_cls: 0.3120, decode.d3.loss_mask: 0.5107, decode.d3.loss_dice: 0.7681, decode.d4.loss_cls: 0.2941, decode.d4.loss_mask: 0.5111, decode.d4.loss_dice: 0.7708, decode.d5.loss_cls: 0.2963, decode.d5.loss_mask: 0.5088, decode.d5.loss_dice: 0.7657, decode.d6.loss_cls: 0.2942, decode.d6.loss_mask: 0.5089, decode.d6.loss_dice: 0.7622, decode.d7.loss_cls: 0.2887, decode.d7.loss_mask: 0.5080, decode.d7.loss_dice: 0.7665, decode.d8.loss_cls: 0.2853, decode.d8.loss_mask: 0.5070, decode.d8.loss_dice: 0.7620, loss: 16.9880, grad_norm: 48.4774 2023-11-12 08:58:53,462 - mmseg - INFO - Iter [72950/160000] lr: 5.441e-05, eta: 12:12:09, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2594, decode.loss_mask: 0.4886, decode.loss_dice: 0.7408, decode.d0.loss_cls: 1.2471, decode.d0.loss_mask: 0.5259, decode.d0.loss_dice: 0.8169, decode.d1.loss_cls: 0.3379, decode.d1.loss_mask: 0.5036, decode.d1.loss_dice: 0.7729, decode.d2.loss_cls: 0.2901, decode.d2.loss_mask: 0.4978, decode.d2.loss_dice: 0.7579, decode.d3.loss_cls: 0.2850, decode.d3.loss_mask: 0.4916, decode.d3.loss_dice: 0.7377, decode.d4.loss_cls: 0.2690, decode.d4.loss_mask: 0.4897, decode.d4.loss_dice: 0.7407, decode.d5.loss_cls: 0.2667, decode.d5.loss_mask: 0.4893, decode.d5.loss_dice: 0.7395, decode.d6.loss_cls: 0.2645, decode.d6.loss_mask: 0.4881, decode.d6.loss_dice: 0.7341, decode.d7.loss_cls: 0.2595, decode.d7.loss_mask: 0.4882, decode.d7.loss_dice: 0.7385, decode.d8.loss_cls: 0.2570, decode.d8.loss_mask: 0.4881, decode.d8.loss_dice: 0.7379, loss: 16.2040, grad_norm: 44.9805 2023-11-12 08:59:17,594 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 08:59:17,594 - mmseg - INFO - Iter [73000/160000] lr: 5.438e-05, eta: 12:11:43, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2664, decode.loss_mask: 0.5186, decode.loss_dice: 0.7533, decode.d0.loss_cls: 1.2548, decode.d0.loss_mask: 0.5541, decode.d0.loss_dice: 0.8168, decode.d1.loss_cls: 0.3356, decode.d1.loss_mask: 0.5395, decode.d1.loss_dice: 0.8003, decode.d2.loss_cls: 0.3032, decode.d2.loss_mask: 0.5280, decode.d2.loss_dice: 0.7732, decode.d3.loss_cls: 0.2840, decode.d3.loss_mask: 0.5213, decode.d3.loss_dice: 0.7573, decode.d4.loss_cls: 0.2749, decode.d4.loss_mask: 0.5216, decode.d4.loss_dice: 0.7608, decode.d5.loss_cls: 0.2709, decode.d5.loss_mask: 0.5216, decode.d5.loss_dice: 0.7629, decode.d6.loss_cls: 0.2728, decode.d6.loss_mask: 0.5227, decode.d6.loss_dice: 0.7548, decode.d7.loss_cls: 0.2697, decode.d7.loss_mask: 0.5215, decode.d7.loss_dice: 0.7557, decode.d8.loss_cls: 0.2663, decode.d8.loss_mask: 0.5210, decode.d8.loss_dice: 0.7590, loss: 16.7625, grad_norm: 46.3226 2023-11-12 08:59:41,494 - mmseg - INFO - Iter [73050/160000] lr: 5.434e-05, eta: 12:11:16, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2446, decode.loss_mask: 0.4889, decode.loss_dice: 0.7412, decode.d0.loss_cls: 1.2361, decode.d0.loss_mask: 0.5246, decode.d0.loss_dice: 0.8067, decode.d1.loss_cls: 0.3312, decode.d1.loss_mask: 0.5039, decode.d1.loss_dice: 0.7753, decode.d2.loss_cls: 0.2858, decode.d2.loss_mask: 0.5003, decode.d2.loss_dice: 0.7599, decode.d3.loss_cls: 0.2668, decode.d3.loss_mask: 0.4922, decode.d3.loss_dice: 0.7469, decode.d4.loss_cls: 0.2620, decode.d4.loss_mask: 0.4898, decode.d4.loss_dice: 0.7478, decode.d5.loss_cls: 0.2586, decode.d5.loss_mask: 0.4895, decode.d5.loss_dice: 0.7448, decode.d6.loss_cls: 0.2534, decode.d6.loss_mask: 0.4881, decode.d6.loss_dice: 0.7397, decode.d7.loss_cls: 0.2500, decode.d7.loss_mask: 0.4886, decode.d7.loss_dice: 0.7414, decode.d8.loss_cls: 0.2470, decode.d8.loss_mask: 0.4876, decode.d8.loss_dice: 0.7371, loss: 16.1296, grad_norm: 45.5692 2023-11-12 09:00:05,447 - mmseg - INFO - Iter [73100/160000] lr: 5.431e-05, eta: 12:10:49, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2238, decode.loss_mask: 0.4888, decode.loss_dice: 0.7270, decode.d0.loss_cls: 1.2020, decode.d0.loss_mask: 0.5227, decode.d0.loss_dice: 0.7990, decode.d1.loss_cls: 0.2945, decode.d1.loss_mask: 0.5098, decode.d1.loss_dice: 0.7659, decode.d2.loss_cls: 0.2536, decode.d2.loss_mask: 0.4978, decode.d2.loss_dice: 0.7441, decode.d3.loss_cls: 0.2430, decode.d3.loss_mask: 0.4915, decode.d3.loss_dice: 0.7326, decode.d4.loss_cls: 0.2354, decode.d4.loss_mask: 0.4911, decode.d4.loss_dice: 0.7301, decode.d5.loss_cls: 0.2342, decode.d5.loss_mask: 0.4912, decode.d5.loss_dice: 0.7321, decode.d6.loss_cls: 0.2288, decode.d6.loss_mask: 0.4901, decode.d6.loss_dice: 0.7288, decode.d7.loss_cls: 0.2285, decode.d7.loss_mask: 0.4881, decode.d7.loss_dice: 0.7248, decode.d8.loss_cls: 0.2249, decode.d8.loss_mask: 0.4894, decode.d8.loss_dice: 0.7256, loss: 15.7391, grad_norm: 47.8684 2023-11-12 09:00:29,420 - mmseg - INFO - Iter [73150/160000] lr: 5.428e-05, eta: 12:10:22, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2520, decode.loss_mask: 0.5029, decode.loss_dice: 0.7523, decode.d0.loss_cls: 1.2344, decode.d0.loss_mask: 0.5379, decode.d0.loss_dice: 0.8367, decode.d1.loss_cls: 0.3272, decode.d1.loss_mask: 0.5177, decode.d1.loss_dice: 0.7969, decode.d2.loss_cls: 0.2931, decode.d2.loss_mask: 0.5077, decode.d2.loss_dice: 0.7762, decode.d3.loss_cls: 0.2733, decode.d3.loss_mask: 0.5047, decode.d3.loss_dice: 0.7613, decode.d4.loss_cls: 0.2657, decode.d4.loss_mask: 0.5048, decode.d4.loss_dice: 0.7585, decode.d5.loss_cls: 0.2584, decode.d5.loss_mask: 0.5045, decode.d5.loss_dice: 0.7593, decode.d6.loss_cls: 0.2565, decode.d6.loss_mask: 0.5025, decode.d6.loss_dice: 0.7518, decode.d7.loss_cls: 0.2506, decode.d7.loss_mask: 0.5030, decode.d7.loss_dice: 0.7548, decode.d8.loss_cls: 0.2513, decode.d8.loss_mask: 0.5038, decode.d8.loss_dice: 0.7524, loss: 16.4522, grad_norm: 49.3761 2023-11-12 09:00:53,383 - mmseg - INFO - Iter [73200/160000] lr: 5.425e-05, eta: 12:09:56, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2748, decode.loss_mask: 0.4923, decode.loss_dice: 0.7454, decode.d0.loss_cls: 1.2619, decode.d0.loss_mask: 0.5267, decode.d0.loss_dice: 0.8148, decode.d1.loss_cls: 0.3448, decode.d1.loss_mask: 0.5119, decode.d1.loss_dice: 0.7886, decode.d2.loss_cls: 0.3030, decode.d2.loss_mask: 0.5007, decode.d2.loss_dice: 0.7655, decode.d3.loss_cls: 0.2964, decode.d3.loss_mask: 0.4964, decode.d3.loss_dice: 0.7489, decode.d4.loss_cls: 0.2900, decode.d4.loss_mask: 0.4950, decode.d4.loss_dice: 0.7525, decode.d5.loss_cls: 0.2823, decode.d5.loss_mask: 0.4957, decode.d5.loss_dice: 0.7518, decode.d6.loss_cls: 0.2795, decode.d6.loss_mask: 0.4921, decode.d6.loss_dice: 0.7483, decode.d7.loss_cls: 0.2751, decode.d7.loss_mask: 0.4951, decode.d7.loss_dice: 0.7479, decode.d8.loss_cls: 0.2729, decode.d8.loss_mask: 0.4929, decode.d8.loss_dice: 0.7483, loss: 16.4918, grad_norm: 49.0365 2023-11-12 09:01:17,375 - mmseg - INFO - Iter [73250/160000] lr: 5.422e-05, eta: 12:09:29, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2513, decode.loss_mask: 0.4906, decode.loss_dice: 0.7154, decode.d0.loss_cls: 1.2486, decode.d0.loss_mask: 0.5244, decode.d0.loss_dice: 0.7847, decode.d1.loss_cls: 0.3192, decode.d1.loss_mask: 0.5056, decode.d1.loss_dice: 0.7531, decode.d2.loss_cls: 0.2848, decode.d2.loss_mask: 0.4954, decode.d2.loss_dice: 0.7338, decode.d3.loss_cls: 0.2647, decode.d3.loss_mask: 0.4924, decode.d3.loss_dice: 0.7250, decode.d4.loss_cls: 0.2582, decode.d4.loss_mask: 0.4935, decode.d4.loss_dice: 0.7190, decode.d5.loss_cls: 0.2514, decode.d5.loss_mask: 0.4939, decode.d5.loss_dice: 0.7201, decode.d6.loss_cls: 0.2563, decode.d6.loss_mask: 0.4906, decode.d6.loss_dice: 0.7108, decode.d7.loss_cls: 0.2514, decode.d7.loss_mask: 0.4904, decode.d7.loss_dice: 0.7160, decode.d8.loss_cls: 0.2505, decode.d8.loss_mask: 0.4896, decode.d8.loss_dice: 0.7148, loss: 15.8954, grad_norm: 48.2507 2023-11-12 09:01:43,725 - mmseg - INFO - Iter [73300/160000] lr: 5.419e-05, eta: 12:09:05, time: 0.527, data_time: 0.058, memory: 41146, decode.loss_cls: 0.2707, decode.loss_mask: 0.4880, decode.loss_dice: 0.7587, decode.d0.loss_cls: 1.2811, decode.d0.loss_mask: 0.5235, decode.d0.loss_dice: 0.8320, decode.d1.loss_cls: 0.3479, decode.d1.loss_mask: 0.5077, decode.d1.loss_dice: 0.8027, decode.d2.loss_cls: 0.3050, decode.d2.loss_mask: 0.4969, decode.d2.loss_dice: 0.7781, decode.d3.loss_cls: 0.2887, decode.d3.loss_mask: 0.4914, decode.d3.loss_dice: 0.7620, decode.d4.loss_cls: 0.2769, decode.d4.loss_mask: 0.4891, decode.d4.loss_dice: 0.7674, decode.d5.loss_cls: 0.2778, decode.d5.loss_mask: 0.4888, decode.d5.loss_dice: 0.7638, decode.d6.loss_cls: 0.2749, decode.d6.loss_mask: 0.4903, decode.d6.loss_dice: 0.7588, decode.d7.loss_cls: 0.2728, decode.d7.loss_mask: 0.4902, decode.d7.loss_dice: 0.7572, decode.d8.loss_cls: 0.2692, decode.d8.loss_mask: 0.4880, decode.d8.loss_dice: 0.7567, loss: 16.5564, grad_norm: 47.5957 2023-11-12 09:02:07,770 - mmseg - INFO - Iter [73350/160000] lr: 5.416e-05, eta: 12:08:38, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2449, decode.loss_mask: 0.4936, decode.loss_dice: 0.7455, decode.d0.loss_cls: 1.2359, decode.d0.loss_mask: 0.5306, decode.d0.loss_dice: 0.8135, decode.d1.loss_cls: 0.3213, decode.d1.loss_mask: 0.5071, decode.d1.loss_dice: 0.7904, decode.d2.loss_cls: 0.2813, decode.d2.loss_mask: 0.4977, decode.d2.loss_dice: 0.7675, decode.d3.loss_cls: 0.2665, decode.d3.loss_mask: 0.4963, decode.d3.loss_dice: 0.7529, decode.d4.loss_cls: 0.2532, decode.d4.loss_mask: 0.4964, decode.d4.loss_dice: 0.7523, decode.d5.loss_cls: 0.2558, decode.d5.loss_mask: 0.4955, decode.d5.loss_dice: 0.7546, decode.d6.loss_cls: 0.2537, decode.d6.loss_mask: 0.4932, decode.d6.loss_dice: 0.7465, decode.d7.loss_cls: 0.2479, decode.d7.loss_mask: 0.4936, decode.d7.loss_dice: 0.7520, decode.d8.loss_cls: 0.2448, decode.d8.loss_mask: 0.4941, decode.d8.loss_dice: 0.7509, loss: 16.2296, grad_norm: 44.2742 2023-11-12 09:02:31,804 - mmseg - INFO - Iter [73400/160000] lr: 5.413e-05, eta: 12:08:12, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2546, decode.loss_mask: 0.4950, decode.loss_dice: 0.7316, decode.d0.loss_cls: 1.2709, decode.d0.loss_mask: 0.5294, decode.d0.loss_dice: 0.7956, decode.d1.loss_cls: 0.3265, decode.d1.loss_mask: 0.5095, decode.d1.loss_dice: 0.7667, decode.d2.loss_cls: 0.2878, decode.d2.loss_mask: 0.5015, decode.d2.loss_dice: 0.7472, decode.d3.loss_cls: 0.2734, decode.d3.loss_mask: 0.4965, decode.d3.loss_dice: 0.7358, decode.d4.loss_cls: 0.2689, decode.d4.loss_mask: 0.4970, decode.d4.loss_dice: 0.7372, decode.d5.loss_cls: 0.2617, decode.d5.loss_mask: 0.4962, decode.d5.loss_dice: 0.7359, decode.d6.loss_cls: 0.2643, decode.d6.loss_mask: 0.4958, decode.d6.loss_dice: 0.7299, decode.d7.loss_cls: 0.2578, decode.d7.loss_mask: 0.4949, decode.d7.loss_dice: 0.7311, decode.d8.loss_cls: 0.2589, decode.d8.loss_mask: 0.4924, decode.d8.loss_dice: 0.7298, loss: 16.1738, grad_norm: 47.9004 2023-11-12 09:02:55,675 - mmseg - INFO - Iter [73450/160000] lr: 5.409e-05, eta: 12:07:45, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2528, decode.loss_mask: 0.4958, decode.loss_dice: 0.7395, decode.d0.loss_cls: 1.2288, decode.d0.loss_mask: 0.5362, decode.d0.loss_dice: 0.8077, decode.d1.loss_cls: 0.3240, decode.d1.loss_mask: 0.5122, decode.d1.loss_dice: 0.7844, decode.d2.loss_cls: 0.2818, decode.d2.loss_mask: 0.5044, decode.d2.loss_dice: 0.7620, decode.d3.loss_cls: 0.2704, decode.d3.loss_mask: 0.5007, decode.d3.loss_dice: 0.7503, decode.d4.loss_cls: 0.2633, decode.d4.loss_mask: 0.4985, decode.d4.loss_dice: 0.7471, decode.d5.loss_cls: 0.2566, decode.d5.loss_mask: 0.4970, decode.d5.loss_dice: 0.7435, decode.d6.loss_cls: 0.2604, decode.d6.loss_mask: 0.4948, decode.d6.loss_dice: 0.7426, decode.d7.loss_cls: 0.2562, decode.d7.loss_mask: 0.4947, decode.d7.loss_dice: 0.7454, decode.d8.loss_cls: 0.2554, decode.d8.loss_mask: 0.4948, decode.d8.loss_dice: 0.7413, loss: 16.2428, grad_norm: 50.0052 2023-11-12 09:03:19,660 - mmseg - INFO - Iter [73500/160000] lr: 5.406e-05, eta: 12:07:18, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2735, decode.loss_mask: 0.4942, decode.loss_dice: 0.7494, decode.d0.loss_cls: 1.2500, decode.d0.loss_mask: 0.5311, decode.d0.loss_dice: 0.8227, decode.d1.loss_cls: 0.3469, decode.d1.loss_mask: 0.5138, decode.d1.loss_dice: 0.7866, decode.d2.loss_cls: 0.3056, decode.d2.loss_mask: 0.5044, decode.d2.loss_dice: 0.7711, decode.d3.loss_cls: 0.2954, decode.d3.loss_mask: 0.4966, decode.d3.loss_dice: 0.7552, decode.d4.loss_cls: 0.2834, decode.d4.loss_mask: 0.4947, decode.d4.loss_dice: 0.7553, decode.d5.loss_cls: 0.2814, decode.d5.loss_mask: 0.4940, decode.d5.loss_dice: 0.7531, decode.d6.loss_cls: 0.2713, decode.d6.loss_mask: 0.4927, decode.d6.loss_dice: 0.7455, decode.d7.loss_cls: 0.2721, decode.d7.loss_mask: 0.4938, decode.d7.loss_dice: 0.7483, decode.d8.loss_cls: 0.2671, decode.d8.loss_mask: 0.4949, decode.d8.loss_dice: 0.7528, loss: 16.4970, grad_norm: 45.8082 2023-11-12 09:03:43,486 - mmseg - INFO - Iter [73550/160000] lr: 5.403e-05, eta: 12:06:51, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2525, decode.loss_mask: 0.4946, decode.loss_dice: 0.7280, decode.d0.loss_cls: 1.2275, decode.d0.loss_mask: 0.5347, decode.d0.loss_dice: 0.8103, decode.d1.loss_cls: 0.3300, decode.d1.loss_mask: 0.5136, decode.d1.loss_dice: 0.7691, decode.d2.loss_cls: 0.2917, decode.d2.loss_mask: 0.5008, decode.d2.loss_dice: 0.7498, decode.d3.loss_cls: 0.2799, decode.d3.loss_mask: 0.4978, decode.d3.loss_dice: 0.7364, decode.d4.loss_cls: 0.2651, decode.d4.loss_mask: 0.4964, decode.d4.loss_dice: 0.7342, decode.d5.loss_cls: 0.2605, decode.d5.loss_mask: 0.4952, decode.d5.loss_dice: 0.7345, decode.d6.loss_cls: 0.2625, decode.d6.loss_mask: 0.4958, decode.d6.loss_dice: 0.7297, decode.d7.loss_cls: 0.2565, decode.d7.loss_mask: 0.4960, decode.d7.loss_dice: 0.7286, decode.d8.loss_cls: 0.2540, decode.d8.loss_mask: 0.4947, decode.d8.loss_dice: 0.7315, loss: 16.1521, grad_norm: 47.1403 2023-11-12 09:04:07,230 - mmseg - INFO - Iter [73600/160000] lr: 5.400e-05, eta: 12:06:25, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2427, decode.loss_mask: 0.5121, decode.loss_dice: 0.7361, decode.d0.loss_cls: 1.2209, decode.d0.loss_mask: 0.5468, decode.d0.loss_dice: 0.8002, decode.d1.loss_cls: 0.3090, decode.d1.loss_mask: 0.5290, decode.d1.loss_dice: 0.7693, decode.d2.loss_cls: 0.2772, decode.d2.loss_mask: 0.5161, decode.d2.loss_dice: 0.7491, decode.d3.loss_cls: 0.2640, decode.d3.loss_mask: 0.5139, decode.d3.loss_dice: 0.7398, decode.d4.loss_cls: 0.2519, decode.d4.loss_mask: 0.5134, decode.d4.loss_dice: 0.7391, decode.d5.loss_cls: 0.2483, decode.d5.loss_mask: 0.5124, decode.d5.loss_dice: 0.7396, decode.d6.loss_cls: 0.2478, decode.d6.loss_mask: 0.5098, decode.d6.loss_dice: 0.7355, decode.d7.loss_cls: 0.2459, decode.d7.loss_mask: 0.5095, decode.d7.loss_dice: 0.7365, decode.d8.loss_cls: 0.2412, decode.d8.loss_mask: 0.5110, decode.d8.loss_dice: 0.7375, loss: 16.2054, grad_norm: 54.5602 2023-11-12 09:04:31,242 - mmseg - INFO - Iter [73650/160000] lr: 5.397e-05, eta: 12:05:58, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2376, decode.loss_mask: 0.4791, decode.loss_dice: 0.7197, decode.d0.loss_cls: 1.2197, decode.d0.loss_mask: 0.5120, decode.d0.loss_dice: 0.7832, decode.d1.loss_cls: 0.3015, decode.d1.loss_mask: 0.4992, decode.d1.loss_dice: 0.7585, decode.d2.loss_cls: 0.2693, decode.d2.loss_mask: 0.4867, decode.d2.loss_dice: 0.7403, decode.d3.loss_cls: 0.2570, decode.d3.loss_mask: 0.4807, decode.d3.loss_dice: 0.7221, decode.d4.loss_cls: 0.2481, decode.d4.loss_mask: 0.4806, decode.d4.loss_dice: 0.7291, decode.d5.loss_cls: 0.2469, decode.d5.loss_mask: 0.4801, decode.d5.loss_dice: 0.7184, decode.d6.loss_cls: 0.2466, decode.d6.loss_mask: 0.4792, decode.d6.loss_dice: 0.7185, decode.d7.loss_cls: 0.2373, decode.d7.loss_mask: 0.4812, decode.d7.loss_dice: 0.7222, decode.d8.loss_cls: 0.2372, decode.d8.loss_mask: 0.4808, decode.d8.loss_dice: 0.7214, loss: 15.6939, grad_norm: 46.0295 2023-11-12 09:04:55,391 - mmseg - INFO - Iter [73700/160000] lr: 5.394e-05, eta: 12:05:31, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2669, decode.loss_mask: 0.5028, decode.loss_dice: 0.7533, decode.d0.loss_cls: 1.2645, decode.d0.loss_mask: 0.5397, decode.d0.loss_dice: 0.8313, decode.d1.loss_cls: 0.3355, decode.d1.loss_mask: 0.5214, decode.d1.loss_dice: 0.8020, decode.d2.loss_cls: 0.2982, decode.d2.loss_mask: 0.5121, decode.d2.loss_dice: 0.7738, decode.d3.loss_cls: 0.2825, decode.d3.loss_mask: 0.5049, decode.d3.loss_dice: 0.7591, decode.d4.loss_cls: 0.2749, decode.d4.loss_mask: 0.5063, decode.d4.loss_dice: 0.7579, decode.d5.loss_cls: 0.2675, decode.d5.loss_mask: 0.5029, decode.d5.loss_dice: 0.7600, decode.d6.loss_cls: 0.2703, decode.d6.loss_mask: 0.5018, decode.d6.loss_dice: 0.7520, decode.d7.loss_cls: 0.2689, decode.d7.loss_mask: 0.5000, decode.d7.loss_dice: 0.7575, decode.d8.loss_cls: 0.2655, decode.d8.loss_mask: 0.5037, decode.d8.loss_dice: 0.7598, loss: 16.5970, grad_norm: 52.3531 2023-11-12 09:05:19,378 - mmseg - INFO - Iter [73750/160000] lr: 5.391e-05, eta: 12:05:05, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2412, decode.loss_mask: 0.5004, decode.loss_dice: 0.7490, decode.d0.loss_cls: 1.2312, decode.d0.loss_mask: 0.5310, decode.d0.loss_dice: 0.8132, decode.d1.loss_cls: 0.3321, decode.d1.loss_mask: 0.5139, decode.d1.loss_dice: 0.7817, decode.d2.loss_cls: 0.2838, decode.d2.loss_mask: 0.5063, decode.d2.loss_dice: 0.7647, decode.d3.loss_cls: 0.2668, decode.d3.loss_mask: 0.5034, decode.d3.loss_dice: 0.7495, decode.d4.loss_cls: 0.2582, decode.d4.loss_mask: 0.5035, decode.d4.loss_dice: 0.7501, decode.d5.loss_cls: 0.2566, decode.d5.loss_mask: 0.4996, decode.d5.loss_dice: 0.7480, decode.d6.loss_cls: 0.2537, decode.d6.loss_mask: 0.4986, decode.d6.loss_dice: 0.7408, decode.d7.loss_cls: 0.2445, decode.d7.loss_mask: 0.4998, decode.d7.loss_dice: 0.7467, decode.d8.loss_cls: 0.2462, decode.d8.loss_mask: 0.4982, decode.d8.loss_dice: 0.7459, loss: 16.2588, grad_norm: 48.8272 2023-11-12 09:05:43,327 - mmseg - INFO - Iter [73800/160000] lr: 5.388e-05, eta: 12:04:38, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2406, decode.loss_mask: 0.4841, decode.loss_dice: 0.7477, decode.d0.loss_cls: 1.2357, decode.d0.loss_mask: 0.5152, decode.d0.loss_dice: 0.8095, decode.d1.loss_cls: 0.3033, decode.d1.loss_mask: 0.5001, decode.d1.loss_dice: 0.7939, decode.d2.loss_cls: 0.2815, decode.d2.loss_mask: 0.4902, decode.d2.loss_dice: 0.7602, decode.d3.loss_cls: 0.2623, decode.d3.loss_mask: 0.4878, decode.d3.loss_dice: 0.7476, decode.d4.loss_cls: 0.2510, decode.d4.loss_mask: 0.4879, decode.d4.loss_dice: 0.7519, decode.d5.loss_cls: 0.2482, decode.d5.loss_mask: 0.4862, decode.d5.loss_dice: 0.7493, decode.d6.loss_cls: 0.2473, decode.d6.loss_mask: 0.4841, decode.d6.loss_dice: 0.7462, decode.d7.loss_cls: 0.2389, decode.d7.loss_mask: 0.4855, decode.d7.loss_dice: 0.7503, decode.d8.loss_cls: 0.2329, decode.d8.loss_mask: 0.4854, decode.d8.loss_dice: 0.7475, loss: 16.0523, grad_norm: 45.4653 2023-11-12 09:06:07,121 - mmseg - INFO - Iter [73850/160000] lr: 5.384e-05, eta: 12:04:11, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2431, decode.loss_mask: 0.4728, decode.loss_dice: 0.7162, decode.d0.loss_cls: 1.2353, decode.d0.loss_mask: 0.5084, decode.d0.loss_dice: 0.7883, decode.d1.loss_cls: 0.3094, decode.d1.loss_mask: 0.4856, decode.d1.loss_dice: 0.7564, decode.d2.loss_cls: 0.2740, decode.d2.loss_mask: 0.4796, decode.d2.loss_dice: 0.7392, decode.d3.loss_cls: 0.2572, decode.d3.loss_mask: 0.4746, decode.d3.loss_dice: 0.7205, decode.d4.loss_cls: 0.2548, decode.d4.loss_mask: 0.4729, decode.d4.loss_dice: 0.7216, decode.d5.loss_cls: 0.2566, decode.d5.loss_mask: 0.4721, decode.d5.loss_dice: 0.7200, decode.d6.loss_cls: 0.2489, decode.d6.loss_mask: 0.4719, decode.d6.loss_dice: 0.7123, decode.d7.loss_cls: 0.2463, decode.d7.loss_mask: 0.4724, decode.d7.loss_dice: 0.7144, decode.d8.loss_cls: 0.2452, decode.d8.loss_mask: 0.4731, decode.d8.loss_dice: 0.7155, loss: 15.6587, grad_norm: 44.7329 2023-11-12 09:06:30,973 - mmseg - INFO - Iter [73900/160000] lr: 5.381e-05, eta: 12:03:44, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2662, decode.loss_mask: 0.5269, decode.loss_dice: 0.7589, decode.d0.loss_cls: 1.2515, decode.d0.loss_mask: 0.5602, decode.d0.loss_dice: 0.8301, decode.d1.loss_cls: 0.3382, decode.d1.loss_mask: 0.5429, decode.d1.loss_dice: 0.7933, decode.d2.loss_cls: 0.3005, decode.d2.loss_mask: 0.5322, decode.d2.loss_dice: 0.7757, decode.d3.loss_cls: 0.2814, decode.d3.loss_mask: 0.5316, decode.d3.loss_dice: 0.7618, decode.d4.loss_cls: 0.2822, decode.d4.loss_mask: 0.5272, decode.d4.loss_dice: 0.7622, decode.d5.loss_cls: 0.2714, decode.d5.loss_mask: 0.5275, decode.d5.loss_dice: 0.7576, decode.d6.loss_cls: 0.2659, decode.d6.loss_mask: 0.5289, decode.d6.loss_dice: 0.7571, decode.d7.loss_cls: 0.2657, decode.d7.loss_mask: 0.5264, decode.d7.loss_dice: 0.7576, decode.d8.loss_cls: 0.2630, decode.d8.loss_mask: 0.5275, decode.d8.loss_dice: 0.7589, loss: 16.8306, grad_norm: 49.3807 2023-11-12 09:06:54,753 - mmseg - INFO - Iter [73950/160000] lr: 5.378e-05, eta: 12:03:17, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2344, decode.loss_mask: 0.5192, decode.loss_dice: 0.7509, decode.d0.loss_cls: 1.2246, decode.d0.loss_mask: 0.5605, decode.d0.loss_dice: 0.8100, decode.d1.loss_cls: 0.3135, decode.d1.loss_mask: 0.5352, decode.d1.loss_dice: 0.7881, decode.d2.loss_cls: 0.2720, decode.d2.loss_mask: 0.5255, decode.d2.loss_dice: 0.7625, decode.d3.loss_cls: 0.2510, decode.d3.loss_mask: 0.5201, decode.d3.loss_dice: 0.7554, decode.d4.loss_cls: 0.2460, decode.d4.loss_mask: 0.5185, decode.d4.loss_dice: 0.7579, decode.d5.loss_cls: 0.2470, decode.d5.loss_mask: 0.5203, decode.d5.loss_dice: 0.7546, decode.d6.loss_cls: 0.2417, decode.d6.loss_mask: 0.5187, decode.d6.loss_dice: 0.7509, decode.d7.loss_cls: 0.2384, decode.d7.loss_mask: 0.5189, decode.d7.loss_dice: 0.7513, decode.d8.loss_cls: 0.2371, decode.d8.loss_mask: 0.5181, decode.d8.loss_dice: 0.7554, loss: 16.3975, grad_norm: 48.9450 2023-11-12 09:07:18,562 - mmseg - INFO - Saving checkpoint at 74000 iterations 2023-11-12 09:07:22,200 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 09:07:22,200 - mmseg - INFO - Iter [74000/160000] lr: 5.375e-05, eta: 12:02:55, time: 0.549, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2470, decode.loss_mask: 0.5303, decode.loss_dice: 0.7509, decode.d0.loss_cls: 1.2529, decode.d0.loss_mask: 0.5673, decode.d0.loss_dice: 0.8143, decode.d1.loss_cls: 0.3204, decode.d1.loss_mask: 0.5466, decode.d1.loss_dice: 0.7972, decode.d2.loss_cls: 0.2785, decode.d2.loss_mask: 0.5357, decode.d2.loss_dice: 0.7760, decode.d3.loss_cls: 0.2657, decode.d3.loss_mask: 0.5327, decode.d3.loss_dice: 0.7658, decode.d4.loss_cls: 0.2584, decode.d4.loss_mask: 0.5315, decode.d4.loss_dice: 0.7592, decode.d5.loss_cls: 0.2520, decode.d5.loss_mask: 0.5333, decode.d5.loss_dice: 0.7590, decode.d6.loss_cls: 0.2466, decode.d6.loss_mask: 0.5297, decode.d6.loss_dice: 0.7517, decode.d7.loss_cls: 0.2496, decode.d7.loss_mask: 0.5281, decode.d7.loss_dice: 0.7526, decode.d8.loss_cls: 0.2439, decode.d8.loss_mask: 0.5300, decode.d8.loss_dice: 0.7556, loss: 16.6625, grad_norm: 52.8378 2023-11-12 09:07:41,610 - mmseg - INFO - per class results: 2023-11-12 09:07:41,615 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.15 | 88.18 | | building | 82.12 | 89.87 | | sky | 94.17 | 96.07 | | floor | 83.56 | 89.95 | | tree | 74.93 | 89.29 | | ceiling | 84.64 | 90.59 | | road | 84.41 | 92.1 | | bed | 90.25 | 96.16 | | windowpane | 62.2 | 80.25 | | grass | 61.6 | 69.0 | | cabinet | 65.01 | 76.47 | | sidewalk | 66.8 | 77.4 | | person | 85.38 | 93.16 | | earth | 36.76 | 60.05 | | door | 51.72 | 63.94 | | table | 65.0 | 80.32 | | mountain | 60.41 | 72.12 | | plant | 55.06 | 68.69 | | curtain | 76.77 | 86.94 | | chair | 63.08 | 77.77 | | car | 85.72 | 91.86 | | water | 51.44 | 59.27 | | painting | 75.34 | 89.24 | | sofa | 70.57 | 86.27 | | shelf | 48.6 | 67.51 | | house | 40.81 | 73.75 | | sea | 61.59 | 90.88 | | mirror | 71.45 | 86.2 | | rug | 64.69 | 76.53 | | field | 26.4 | 45.26 | | armchair | 43.85 | 57.29 | | seat | 56.99 | 84.71 | | fence | 46.47 | 65.29 | | desk | 50.04 | 68.95 | | rock | 46.77 | 73.84 | | wardrobe | 45.89 | 66.04 | | lamp | 70.22 | 83.15 | | bathtub | 75.25 | 83.43 | | railing | 35.87 | 52.44 | | cushion | 62.01 | 73.44 | | base | 38.08 | 56.66 | | box | 30.58 | 42.95 | | column | 46.28 | 58.76 | | signboard | 35.51 | 54.73 | | chest of drawers | 46.21 | 68.01 | | counter | 36.07 | 45.31 | | sand | 30.27 | 45.48 | | sink | 72.94 | 79.79 | | skyscraper | 35.63 | 44.8 | | fireplace | 74.56 | 90.96 | | refrigerator | 84.11 | 91.81 | | grandstand | 38.59 | 71.08 | | path | 25.29 | 40.91 | | stairs | 25.89 | 31.82 | | runway | 83.34 | 97.05 | | case | 68.99 | 73.72 | | pool table | 94.72 | 97.05 | | pillow | 58.68 | 71.16 | | screen door | 73.84 | 84.72 | | stairway | 32.16 | 50.04 | | river | 22.42 | 46.97 | | bridge | 76.96 | 84.24 | | bookcase | 42.92 | 61.89 | | blind | 51.54 | 66.17 | | coffee table | 68.97 | 82.24 | | toilet | 87.92 | 91.81 | | flower | 43.76 | 60.2 | | book | 50.37 | 75.0 | | hill | 7.86 | 14.57 | | bench | 49.12 | 58.72 | | countertop | 58.42 | 71.67 | | stove | 80.79 | 85.53 | | palm | 55.08 | 72.11 | | kitchen island | 46.95 | 70.98 | | computer | 69.95 | 75.41 | | swivel chair | 40.0 | 59.9 | | boat | 72.45 | 82.53 | | bar | 29.79 | 32.72 | | arcade machine | 77.27 | 84.36 | | hovel | 52.83 | 82.49 | | bus | 93.23 | 95.94 | | towel | 65.85 | 79.62 | | light | 59.04 | 77.66 | | truck | 32.32 | 59.07 | | tower | 33.63 | 56.48 | | chandelier | 70.93 | 87.1 | | awning | 36.57 | 51.99 | | streetlight | 43.4 | 61.96 | | booth | 22.05 | 35.24 | | television receiver | 74.32 | 83.57 | | airplane | 50.83 | 71.93 | | dirt track | 23.34 | 34.19 | | apparel | 30.53 | 58.6 | | pole | 34.25 | 55.6 | | land | 4.02 | 9.82 | | bannister | 19.47 | 30.2 | | escalator | 20.53 | 22.18 | | ottoman | 53.11 | 71.89 | | bottle | 35.46 | 45.98 | | buffet | 48.42 | 53.39 | | poster | 20.24 | 33.0 | | stage | 18.35 | 32.79 | | van | 49.86 | 75.1 | | ship | 9.91 | 10.77 | | fountain | 20.86 | 21.68 | | conveyer belt | 44.37 | 68.0 | | canopy | 22.44 | 39.02 | | washer | 71.49 | 73.33 | | plaything | 46.97 | 68.41 | | swimming pool | 43.47 | 60.86 | | stool | 47.26 | 73.27 | | barrel | 63.8 | 98.12 | | basket | 37.95 | 46.57 | | waterfall | 63.07 | 94.76 | | tent | 92.53 | 98.11 | | bag | 22.25 | 36.75 | | minibike | 75.89 | 90.34 | | cradle | 85.93 | 97.17 | | oven | 23.29 | 64.83 | | ball | 38.83 | 44.99 | | food | 61.25 | 78.25 | | step | 14.72 | 27.63 | | tank | 50.6 | 65.53 | | trade name | 22.3 | 29.57 | | microwave | 41.7 | 46.09 | | pot | 49.19 | 60.22 | | animal | 58.74 | 60.18 | | bicycle | 60.86 | 81.48 | | lake | 37.99 | 63.39 | | dishwasher | 70.34 | 74.92 | | screen | 58.29 | 91.43 | | blanket | 24.84 | 33.82 | | sculpture | 65.55 | 86.94 | | hood | 71.21 | 75.83 | | sconce | 51.85 | 69.17 | | vase | 52.41 | 71.3 | | traffic light | 42.56 | 70.68 | | tray | 16.72 | 33.89 | | ashcan | 52.21 | 71.85 | | fan | 68.27 | 85.36 | | pier | 28.3 | 44.13 | | crt screen | 5.46 | 14.66 | | plate | 61.29 | 75.14 | | monitor | 8.43 | 13.5 | | bulletin board | 41.59 | 68.78 | | shower | 10.29 | 21.31 | | radiator | 70.19 | 85.2 | | glass | 20.62 | 24.21 | | clock | 32.51 | 44.98 | | flag | 46.4 | 54.28 | +---------------------+-------+-------+ 2023-11-12 09:07:41,615 - mmseg - INFO - Summary: 2023-11-12 09:07:41,616 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.52 | 51.45 | 65.76 | +-------+-------+-------+ 2023-11-12 09:07:41,616 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 09:07:41,616 - mmseg - INFO - Iter(val) [250] aAcc: 0.8352, mIoU: 0.5145, mAcc: 0.6576, IoU.wall: 0.7915, IoU.building: 0.8212, IoU.sky: 0.9417, IoU.floor: 0.8356, IoU.tree: 0.7493, IoU.ceiling: 0.8464, IoU.road: 0.8441, IoU.bed : 0.9025, IoU.windowpane: 0.6220, IoU.grass: 0.6160, IoU.cabinet: 0.6501, IoU.sidewalk: 0.6680, IoU.person: 0.8538, IoU.earth: 0.3676, IoU.door: 0.5172, IoU.table: 0.6500, IoU.mountain: 0.6041, IoU.plant: 0.5506, IoU.curtain: 0.7677, IoU.chair: 0.6308, IoU.car: 0.8572, IoU.water: 0.5144, IoU.painting: 0.7534, IoU.sofa: 0.7057, IoU.shelf: 0.4860, IoU.house: 0.4081, IoU.sea: 0.6159, IoU.mirror: 0.7145, IoU.rug: 0.6469, IoU.field: 0.2640, IoU.armchair: 0.4385, IoU.seat: 0.5699, IoU.fence: 0.4647, IoU.desk: 0.5004, IoU.rock: 0.4677, IoU.wardrobe: 0.4589, IoU.lamp: 0.7022, IoU.bathtub: 0.7525, IoU.railing: 0.3587, IoU.cushion: 0.6201, IoU.base: 0.3808, IoU.box: 0.3058, IoU.column: 0.4628, IoU.signboard: 0.3551, IoU.chest of drawers: 0.4621, IoU.counter: 0.3607, IoU.sand: 0.3027, IoU.sink: 0.7294, IoU.skyscraper: 0.3563, IoU.fireplace: 0.7456, IoU.refrigerator: 0.8411, IoU.grandstand: 0.3859, IoU.path: 0.2529, IoU.stairs: 0.2589, IoU.runway: 0.8334, IoU.case: 0.6899, IoU.pool table: 0.9472, IoU.pillow: 0.5868, IoU.screen door: 0.7384, IoU.stairway: 0.3216, IoU.river: 0.2242, IoU.bridge: 0.7696, IoU.bookcase: 0.4292, IoU.blind: 0.5154, IoU.coffee table: 0.6897, IoU.toilet: 0.8792, IoU.flower: 0.4376, IoU.book: 0.5037, IoU.hill: 0.0786, IoU.bench: 0.4912, IoU.countertop: 0.5842, IoU.stove: 0.8079, IoU.palm: 0.5508, IoU.kitchen island: 0.4695, IoU.computer: 0.6995, IoU.swivel chair: 0.4000, IoU.boat: 0.7245, IoU.bar: 0.2979, IoU.arcade machine: 0.7727, IoU.hovel: 0.5283, IoU.bus: 0.9323, IoU.towel: 0.6585, IoU.light: 0.5904, IoU.truck: 0.3232, IoU.tower: 0.3363, IoU.chandelier: 0.7093, IoU.awning: 0.3657, IoU.streetlight: 0.4340, IoU.booth: 0.2205, IoU.television receiver: 0.7432, IoU.airplane: 0.5083, IoU.dirt track: 0.2334, IoU.apparel: 0.3053, IoU.pole: 0.3425, IoU.land: 0.0402, IoU.bannister: 0.1947, IoU.escalator: 0.2053, IoU.ottoman: 0.5311, IoU.bottle: 0.3546, IoU.buffet: 0.4842, IoU.poster: 0.2024, IoU.stage: 0.1835, IoU.van: 0.4986, IoU.ship: 0.0991, IoU.fountain: 0.2086, IoU.conveyer belt: 0.4437, IoU.canopy: 0.2244, IoU.washer: 0.7149, IoU.plaything: 0.4697, IoU.swimming pool: 0.4347, IoU.stool: 0.4726, IoU.barrel: 0.6380, IoU.basket: 0.3795, IoU.waterfall: 0.6307, IoU.tent: 0.9253, IoU.bag: 0.2225, IoU.minibike: 0.7589, IoU.cradle: 0.8593, IoU.oven: 0.2329, IoU.ball: 0.3883, IoU.food: 0.6125, IoU.step: 0.1472, IoU.tank: 0.5060, IoU.trade name: 0.2230, IoU.microwave: 0.4170, IoU.pot: 0.4919, IoU.animal: 0.5874, IoU.bicycle: 0.6086, IoU.lake: 0.3799, IoU.dishwasher: 0.7034, IoU.screen: 0.5829, IoU.blanket: 0.2484, IoU.sculpture: 0.6555, IoU.hood: 0.7121, IoU.sconce: 0.5185, IoU.vase: 0.5241, IoU.traffic light: 0.4256, IoU.tray: 0.1672, IoU.ashcan: 0.5221, IoU.fan: 0.6827, IoU.pier: 0.2830, IoU.crt screen: 0.0546, IoU.plate: 0.6129, IoU.monitor: 0.0843, IoU.bulletin board: 0.4159, IoU.shower: 0.1029, IoU.radiator: 0.7019, IoU.glass: 0.2062, IoU.clock: 0.3251, IoU.flag: 0.4640, Acc.wall: 0.8818, Acc.building: 0.8987, Acc.sky: 0.9607, Acc.floor: 0.8995, Acc.tree: 0.8929, Acc.ceiling: 0.9059, Acc.road: 0.9210, Acc.bed : 0.9616, Acc.windowpane: 0.8025, Acc.grass: 0.6900, Acc.cabinet: 0.7647, Acc.sidewalk: 0.7740, Acc.person: 0.9316, Acc.earth: 0.6005, Acc.door: 0.6394, Acc.table: 0.8032, Acc.mountain: 0.7212, Acc.plant: 0.6869, Acc.curtain: 0.8694, Acc.chair: 0.7777, Acc.car: 0.9186, Acc.water: 0.5927, Acc.painting: 0.8924, Acc.sofa: 0.8627, Acc.shelf: 0.6751, Acc.house: 0.7375, Acc.sea: 0.9088, Acc.mirror: 0.8620, Acc.rug: 0.7653, Acc.field: 0.4526, Acc.armchair: 0.5729, Acc.seat: 0.8471, Acc.fence: 0.6529, Acc.desk: 0.6895, Acc.rock: 0.7384, Acc.wardrobe: 0.6604, Acc.lamp: 0.8315, Acc.bathtub: 0.8343, Acc.railing: 0.5244, Acc.cushion: 0.7344, Acc.base: 0.5666, Acc.box: 0.4295, Acc.column: 0.5876, Acc.signboard: 0.5473, Acc.chest of drawers: 0.6801, Acc.counter: 0.4531, Acc.sand: 0.4548, Acc.sink: 0.7979, Acc.skyscraper: 0.4480, Acc.fireplace: 0.9096, Acc.refrigerator: 0.9181, Acc.grandstand: 0.7108, Acc.path: 0.4091, Acc.stairs: 0.3182, Acc.runway: 0.9705, Acc.case: 0.7372, Acc.pool table: 0.9705, Acc.pillow: 0.7116, Acc.screen door: 0.8472, Acc.stairway: 0.5004, Acc.river: 0.4697, Acc.bridge: 0.8424, Acc.bookcase: 0.6189, Acc.blind: 0.6617, Acc.coffee table: 0.8224, Acc.toilet: 0.9181, Acc.flower: 0.6020, Acc.book: 0.7500, Acc.hill: 0.1457, Acc.bench: 0.5872, Acc.countertop: 0.7167, Acc.stove: 0.8553, Acc.palm: 0.7211, Acc.kitchen island: 0.7098, Acc.computer: 0.7541, Acc.swivel chair: 0.5990, Acc.boat: 0.8253, Acc.bar: 0.3272, Acc.arcade machine: 0.8436, Acc.hovel: 0.8249, Acc.bus: 0.9594, Acc.towel: 0.7962, Acc.light: 0.7766, Acc.truck: 0.5907, Acc.tower: 0.5648, Acc.chandelier: 0.8710, Acc.awning: 0.5199, Acc.streetlight: 0.6196, Acc.booth: 0.3524, Acc.television receiver: 0.8357, Acc.airplane: 0.7193, Acc.dirt track: 0.3419, Acc.apparel: 0.5860, Acc.pole: 0.5560, Acc.land: 0.0982, Acc.bannister: 0.3020, Acc.escalator: 0.2218, Acc.ottoman: 0.7189, Acc.bottle: 0.4598, Acc.buffet: 0.5339, Acc.poster: 0.3300, Acc.stage: 0.3279, Acc.van: 0.7510, Acc.ship: 0.1077, Acc.fountain: 0.2168, Acc.conveyer belt: 0.6800, Acc.canopy: 0.3902, Acc.washer: 0.7333, Acc.plaything: 0.6841, Acc.swimming pool: 0.6086, Acc.stool: 0.7327, Acc.barrel: 0.9812, Acc.basket: 0.4657, Acc.waterfall: 0.9476, Acc.tent: 0.9811, Acc.bag: 0.3675, Acc.minibike: 0.9034, Acc.cradle: 0.9717, Acc.oven: 0.6483, Acc.ball: 0.4499, Acc.food: 0.7825, Acc.step: 0.2763, Acc.tank: 0.6553, Acc.trade name: 0.2957, Acc.microwave: 0.4609, Acc.pot: 0.6022, Acc.animal: 0.6018, Acc.bicycle: 0.8148, Acc.lake: 0.6339, Acc.dishwasher: 0.7492, Acc.screen: 0.9143, Acc.blanket: 0.3382, Acc.sculpture: 0.8694, Acc.hood: 0.7583, Acc.sconce: 0.6917, Acc.vase: 0.7130, Acc.traffic light: 0.7068, Acc.tray: 0.3389, Acc.ashcan: 0.7185, Acc.fan: 0.8536, Acc.pier: 0.4413, Acc.crt screen: 0.1466, Acc.plate: 0.7514, Acc.monitor: 0.1350, Acc.bulletin board: 0.6878, Acc.shower: 0.2131, Acc.radiator: 0.8520, Acc.glass: 0.2421, Acc.clock: 0.4498, Acc.flag: 0.5428 2023-11-12 09:08:05,539 - mmseg - INFO - Iter [74050/160000] lr: 5.372e-05, eta: 12:02:51, time: 0.867, data_time: 0.401, memory: 41146, decode.loss_cls: 0.2448, decode.loss_mask: 0.4982, decode.loss_dice: 0.7420, decode.d0.loss_cls: 1.2726, decode.d0.loss_mask: 0.5319, decode.d0.loss_dice: 0.8042, decode.d1.loss_cls: 0.3267, decode.d1.loss_mask: 0.5139, decode.d1.loss_dice: 0.7738, decode.d2.loss_cls: 0.2862, decode.d2.loss_mask: 0.5066, decode.d2.loss_dice: 0.7590, decode.d3.loss_cls: 0.2667, decode.d3.loss_mask: 0.5020, decode.d3.loss_dice: 0.7451, decode.d4.loss_cls: 0.2586, decode.d4.loss_mask: 0.5026, decode.d4.loss_dice: 0.7464, decode.d5.loss_cls: 0.2562, decode.d5.loss_mask: 0.5005, decode.d5.loss_dice: 0.7504, decode.d6.loss_cls: 0.2556, decode.d6.loss_mask: 0.4978, decode.d6.loss_dice: 0.7381, decode.d7.loss_cls: 0.2530, decode.d7.loss_mask: 0.4971, decode.d7.loss_dice: 0.7407, decode.d8.loss_cls: 0.2506, decode.d8.loss_mask: 0.4967, decode.d8.loss_dice: 0.7427, loss: 16.2607, grad_norm: 45.9261 2023-11-12 09:08:29,398 - mmseg - INFO - Iter [74100/160000] lr: 5.369e-05, eta: 12:02:24, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2586, decode.loss_mask: 0.4715, decode.loss_dice: 0.7168, decode.d0.loss_cls: 1.2392, decode.d0.loss_mask: 0.5081, decode.d0.loss_dice: 0.7983, decode.d1.loss_cls: 0.3315, decode.d1.loss_mask: 0.4907, decode.d1.loss_dice: 0.7562, decode.d2.loss_cls: 0.2932, decode.d2.loss_mask: 0.4799, decode.d2.loss_dice: 0.7394, decode.d3.loss_cls: 0.2746, decode.d3.loss_mask: 0.4755, decode.d3.loss_dice: 0.7244, decode.d4.loss_cls: 0.2677, decode.d4.loss_mask: 0.4751, decode.d4.loss_dice: 0.7233, decode.d5.loss_cls: 0.2599, decode.d5.loss_mask: 0.4753, decode.d5.loss_dice: 0.7235, decode.d6.loss_cls: 0.2592, decode.d6.loss_mask: 0.4741, decode.d6.loss_dice: 0.7193, decode.d7.loss_cls: 0.2586, decode.d7.loss_mask: 0.4731, decode.d7.loss_dice: 0.7177, decode.d8.loss_cls: 0.2573, decode.d8.loss_mask: 0.4726, decode.d8.loss_dice: 0.7214, loss: 15.8363, grad_norm: 46.7650 2023-11-12 09:08:53,687 - mmseg - INFO - Iter [74150/160000] lr: 5.366e-05, eta: 12:01:57, time: 0.486, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2681, decode.loss_mask: 0.5036, decode.loss_dice: 0.7416, decode.d0.loss_cls: 1.2828, decode.d0.loss_mask: 0.5424, decode.d0.loss_dice: 0.8120, decode.d1.loss_cls: 0.3398, decode.d1.loss_mask: 0.5223, decode.d1.loss_dice: 0.7872, decode.d2.loss_cls: 0.3097, decode.d2.loss_mask: 0.5096, decode.d2.loss_dice: 0.7591, decode.d3.loss_cls: 0.2984, decode.d3.loss_mask: 0.5059, decode.d3.loss_dice: 0.7454, decode.d4.loss_cls: 0.2894, decode.d4.loss_mask: 0.5030, decode.d4.loss_dice: 0.7421, decode.d5.loss_cls: 0.2804, decode.d5.loss_mask: 0.5036, decode.d5.loss_dice: 0.7427, decode.d6.loss_cls: 0.2798, decode.d6.loss_mask: 0.5039, decode.d6.loss_dice: 0.7379, decode.d7.loss_cls: 0.2740, decode.d7.loss_mask: 0.5035, decode.d7.loss_dice: 0.7386, decode.d8.loss_cls: 0.2739, decode.d8.loss_mask: 0.5032, decode.d8.loss_dice: 0.7382, loss: 16.5422, grad_norm: 48.1113 2023-11-12 09:09:17,573 - mmseg - INFO - Iter [74200/160000] lr: 5.363e-05, eta: 12:01:31, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2544, decode.loss_mask: 0.5068, decode.loss_dice: 0.7395, decode.d0.loss_cls: 1.2649, decode.d0.loss_mask: 0.5465, decode.d0.loss_dice: 0.8160, decode.d1.loss_cls: 0.3316, decode.d1.loss_mask: 0.5274, decode.d1.loss_dice: 0.7861, decode.d2.loss_cls: 0.2891, decode.d2.loss_mask: 0.5171, decode.d2.loss_dice: 0.7626, decode.d3.loss_cls: 0.2769, decode.d3.loss_mask: 0.5097, decode.d3.loss_dice: 0.7504, decode.d4.loss_cls: 0.2634, decode.d4.loss_mask: 0.5099, decode.d4.loss_dice: 0.7480, decode.d5.loss_cls: 0.2714, decode.d5.loss_mask: 0.5081, decode.d5.loss_dice: 0.7433, decode.d6.loss_cls: 0.2640, decode.d6.loss_mask: 0.5060, decode.d6.loss_dice: 0.7369, decode.d7.loss_cls: 0.2628, decode.d7.loss_mask: 0.5066, decode.d7.loss_dice: 0.7393, decode.d8.loss_cls: 0.2510, decode.d8.loss_mask: 0.5077, decode.d8.loss_dice: 0.7458, loss: 16.4432, grad_norm: 48.0516 2023-11-12 09:09:41,372 - mmseg - INFO - Iter [74250/160000] lr: 5.359e-05, eta: 12:01:04, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2510, decode.loss_mask: 0.5069, decode.loss_dice: 0.7477, decode.d0.loss_cls: 1.2661, decode.d0.loss_mask: 0.5348, decode.d0.loss_dice: 0.8183, decode.d1.loss_cls: 0.3236, decode.d1.loss_mask: 0.5217, decode.d1.loss_dice: 0.7965, decode.d2.loss_cls: 0.2877, decode.d2.loss_mask: 0.5146, decode.d2.loss_dice: 0.7695, decode.d3.loss_cls: 0.2739, decode.d3.loss_mask: 0.5065, decode.d3.loss_dice: 0.7521, decode.d4.loss_cls: 0.2588, decode.d4.loss_mask: 0.5071, decode.d4.loss_dice: 0.7545, decode.d5.loss_cls: 0.2568, decode.d5.loss_mask: 0.5068, decode.d5.loss_dice: 0.7557, decode.d6.loss_cls: 0.2600, decode.d6.loss_mask: 0.5042, decode.d6.loss_dice: 0.7526, decode.d7.loss_cls: 0.2543, decode.d7.loss_mask: 0.5034, decode.d7.loss_dice: 0.7466, decode.d8.loss_cls: 0.2497, decode.d8.loss_mask: 0.5075, decode.d8.loss_dice: 0.7539, loss: 16.4425, grad_norm: 50.6510 2023-11-12 09:10:05,261 - mmseg - INFO - Iter [74300/160000] lr: 5.356e-05, eta: 12:00:37, time: 0.478, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2318, decode.loss_mask: 0.5052, decode.loss_dice: 0.7498, decode.d0.loss_cls: 1.2443, decode.d0.loss_mask: 0.5440, decode.d0.loss_dice: 0.8114, decode.d1.loss_cls: 0.3164, decode.d1.loss_mask: 0.5229, decode.d1.loss_dice: 0.7882, decode.d2.loss_cls: 0.2744, decode.d2.loss_mask: 0.5135, decode.d2.loss_dice: 0.7666, decode.d3.loss_cls: 0.2565, decode.d3.loss_mask: 0.5090, decode.d3.loss_dice: 0.7544, decode.d4.loss_cls: 0.2471, decode.d4.loss_mask: 0.5091, decode.d4.loss_dice: 0.7522, decode.d5.loss_cls: 0.2405, decode.d5.loss_mask: 0.5075, decode.d5.loss_dice: 0.7567, decode.d6.loss_cls: 0.2369, decode.d6.loss_mask: 0.5045, decode.d6.loss_dice: 0.7507, decode.d7.loss_cls: 0.2347, decode.d7.loss_mask: 0.5065, decode.d7.loss_dice: 0.7486, decode.d8.loss_cls: 0.2324, decode.d8.loss_mask: 0.5083, decode.d8.loss_dice: 0.7491, loss: 16.2730, grad_norm: 50.0441 2023-11-12 09:10:29,139 - mmseg - INFO - Iter [74350/160000] lr: 5.353e-05, eta: 12:00:10, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2777, decode.loss_mask: 0.5020, decode.loss_dice: 0.7578, decode.d0.loss_cls: 1.2671, decode.d0.loss_mask: 0.5433, decode.d0.loss_dice: 0.8405, decode.d1.loss_cls: 0.3442, decode.d1.loss_mask: 0.5243, decode.d1.loss_dice: 0.8101, decode.d2.loss_cls: 0.3111, decode.d2.loss_mask: 0.5130, decode.d2.loss_dice: 0.7815, decode.d3.loss_cls: 0.2963, decode.d3.loss_mask: 0.5093, decode.d3.loss_dice: 0.7654, decode.d4.loss_cls: 0.2873, decode.d4.loss_mask: 0.5073, decode.d4.loss_dice: 0.7656, decode.d5.loss_cls: 0.2795, decode.d5.loss_mask: 0.5068, decode.d5.loss_dice: 0.7636, decode.d6.loss_cls: 0.2769, decode.d6.loss_mask: 0.5050, decode.d6.loss_dice: 0.7611, decode.d7.loss_cls: 0.2788, decode.d7.loss_mask: 0.5033, decode.d7.loss_dice: 0.7592, decode.d8.loss_cls: 0.2769, decode.d8.loss_mask: 0.5012, decode.d8.loss_dice: 0.7631, loss: 16.7791, grad_norm: 51.3680 2023-11-12 09:10:53,058 - mmseg - INFO - Iter [74400/160000] lr: 5.350e-05, eta: 11:59:44, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2600, decode.loss_mask: 0.4842, decode.loss_dice: 0.7385, decode.d0.loss_cls: 1.2588, decode.d0.loss_mask: 0.5194, decode.d0.loss_dice: 0.8100, decode.d1.loss_cls: 0.3298, decode.d1.loss_mask: 0.5001, decode.d1.loss_dice: 0.7822, decode.d2.loss_cls: 0.2952, decode.d2.loss_mask: 0.4906, decode.d2.loss_dice: 0.7612, decode.d3.loss_cls: 0.2749, decode.d3.loss_mask: 0.4874, decode.d3.loss_dice: 0.7465, decode.d4.loss_cls: 0.2667, decode.d4.loss_mask: 0.4874, decode.d4.loss_dice: 0.7451, decode.d5.loss_cls: 0.2644, decode.d5.loss_mask: 0.4866, decode.d5.loss_dice: 0.7425, decode.d6.loss_cls: 0.2603, decode.d6.loss_mask: 0.4829, decode.d6.loss_dice: 0.7367, decode.d7.loss_cls: 0.2576, decode.d7.loss_mask: 0.4825, decode.d7.loss_dice: 0.7373, decode.d8.loss_cls: 0.2572, decode.d8.loss_mask: 0.4840, decode.d8.loss_dice: 0.7430, loss: 16.1726, grad_norm: 48.3323 2023-11-12 09:11:17,057 - mmseg - INFO - Iter [74450/160000] lr: 5.347e-05, eta: 11:59:17, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2613, decode.loss_mask: 0.4975, decode.loss_dice: 0.7388, decode.d0.loss_cls: 1.2303, decode.d0.loss_mask: 0.5368, decode.d0.loss_dice: 0.7972, decode.d1.loss_cls: 0.3429, decode.d1.loss_mask: 0.5144, decode.d1.loss_dice: 0.7761, decode.d2.loss_cls: 0.3003, decode.d2.loss_mask: 0.5085, decode.d2.loss_dice: 0.7502, decode.d3.loss_cls: 0.2845, decode.d3.loss_mask: 0.5027, decode.d3.loss_dice: 0.7435, decode.d4.loss_cls: 0.2740, decode.d4.loss_mask: 0.5001, decode.d4.loss_dice: 0.7466, decode.d5.loss_cls: 0.2657, decode.d5.loss_mask: 0.4966, decode.d5.loss_dice: 0.7431, decode.d6.loss_cls: 0.2698, decode.d6.loss_mask: 0.4980, decode.d6.loss_dice: 0.7329, decode.d7.loss_cls: 0.2623, decode.d7.loss_mask: 0.4981, decode.d7.loss_dice: 0.7355, decode.d8.loss_cls: 0.2643, decode.d8.loss_mask: 0.4963, decode.d8.loss_dice: 0.7367, loss: 16.3050, grad_norm: 45.4603 2023-11-12 09:11:41,116 - mmseg - INFO - Iter [74500/160000] lr: 5.344e-05, eta: 11:58:50, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2376, decode.loss_mask: 0.4962, decode.loss_dice: 0.7238, decode.d0.loss_cls: 1.2130, decode.d0.loss_mask: 0.5315, decode.d0.loss_dice: 0.7962, decode.d1.loss_cls: 0.3048, decode.d1.loss_mask: 0.5074, decode.d1.loss_dice: 0.7613, decode.d2.loss_cls: 0.2685, decode.d2.loss_mask: 0.5004, decode.d2.loss_dice: 0.7414, decode.d3.loss_cls: 0.2511, decode.d3.loss_mask: 0.4988, decode.d3.loss_dice: 0.7310, decode.d4.loss_cls: 0.2462, decode.d4.loss_mask: 0.4962, decode.d4.loss_dice: 0.7283, decode.d5.loss_cls: 0.2347, decode.d5.loss_mask: 0.4972, decode.d5.loss_dice: 0.7322, decode.d6.loss_cls: 0.2371, decode.d6.loss_mask: 0.4956, decode.d6.loss_dice: 0.7246, decode.d7.loss_cls: 0.2403, decode.d7.loss_mask: 0.4944, decode.d7.loss_dice: 0.7202, decode.d8.loss_cls: 0.2327, decode.d8.loss_mask: 0.4962, decode.d8.loss_dice: 0.7254, loss: 15.8640, grad_norm: 46.4402 2023-11-12 09:12:07,521 - mmseg - INFO - Iter [74550/160000] lr: 5.341e-05, eta: 11:58:26, time: 0.528, data_time: 0.059, memory: 41146, decode.loss_cls: 0.2477, decode.loss_mask: 0.4996, decode.loss_dice: 0.7261, decode.d0.loss_cls: 1.2229, decode.d0.loss_mask: 0.5375, decode.d0.loss_dice: 0.7978, decode.d1.loss_cls: 0.3227, decode.d1.loss_mask: 0.5211, decode.d1.loss_dice: 0.7735, decode.d2.loss_cls: 0.2877, decode.d2.loss_mask: 0.5090, decode.d2.loss_dice: 0.7431, decode.d3.loss_cls: 0.2643, decode.d3.loss_mask: 0.5019, decode.d3.loss_dice: 0.7302, decode.d4.loss_cls: 0.2581, decode.d4.loss_mask: 0.5007, decode.d4.loss_dice: 0.7316, decode.d5.loss_cls: 0.2528, decode.d5.loss_mask: 0.4987, decode.d5.loss_dice: 0.7294, decode.d6.loss_cls: 0.2531, decode.d6.loss_mask: 0.4974, decode.d6.loss_dice: 0.7216, decode.d7.loss_cls: 0.2503, decode.d7.loss_mask: 0.4979, decode.d7.loss_dice: 0.7264, decode.d8.loss_cls: 0.2516, decode.d8.loss_mask: 0.5005, decode.d8.loss_dice: 0.7241, loss: 16.0793, grad_norm: 49.4903 2023-11-12 09:12:31,624 - mmseg - INFO - Iter [74600/160000] lr: 5.338e-05, eta: 11:58:00, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2392, decode.loss_mask: 0.4870, decode.loss_dice: 0.7194, decode.d0.loss_cls: 1.2096, decode.d0.loss_mask: 0.5220, decode.d0.loss_dice: 0.7900, decode.d1.loss_cls: 0.3047, decode.d1.loss_mask: 0.5039, decode.d1.loss_dice: 0.7582, decode.d2.loss_cls: 0.2711, decode.d2.loss_mask: 0.4950, decode.d2.loss_dice: 0.7389, decode.d3.loss_cls: 0.2529, decode.d3.loss_mask: 0.4884, decode.d3.loss_dice: 0.7250, decode.d4.loss_cls: 0.2460, decode.d4.loss_mask: 0.4890, decode.d4.loss_dice: 0.7292, decode.d5.loss_cls: 0.2437, decode.d5.loss_mask: 0.4896, decode.d5.loss_dice: 0.7250, decode.d6.loss_cls: 0.2443, decode.d6.loss_mask: 0.4851, decode.d6.loss_dice: 0.7199, decode.d7.loss_cls: 0.2364, decode.d7.loss_mask: 0.4853, decode.d7.loss_dice: 0.7243, decode.d8.loss_cls: 0.2333, decode.d8.loss_mask: 0.4869, decode.d8.loss_dice: 0.7205, loss: 15.7639, grad_norm: 46.7053 2023-11-12 09:12:56,077 - mmseg - INFO - Iter [74650/160000] lr: 5.334e-05, eta: 11:57:34, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2464, decode.loss_mask: 0.4853, decode.loss_dice: 0.7413, decode.d0.loss_cls: 1.2381, decode.d0.loss_mask: 0.5179, decode.d0.loss_dice: 0.8034, decode.d1.loss_cls: 0.3222, decode.d1.loss_mask: 0.5056, decode.d1.loss_dice: 0.7812, decode.d2.loss_cls: 0.2875, decode.d2.loss_mask: 0.4926, decode.d2.loss_dice: 0.7507, decode.d3.loss_cls: 0.2698, decode.d3.loss_mask: 0.4896, decode.d3.loss_dice: 0.7413, decode.d4.loss_cls: 0.2637, decode.d4.loss_mask: 0.4891, decode.d4.loss_dice: 0.7391, decode.d5.loss_cls: 0.2606, decode.d5.loss_mask: 0.4860, decode.d5.loss_dice: 0.7405, decode.d6.loss_cls: 0.2577, decode.d6.loss_mask: 0.4869, decode.d6.loss_dice: 0.7363, decode.d7.loss_cls: 0.2520, decode.d7.loss_mask: 0.4875, decode.d7.loss_dice: 0.7389, decode.d8.loss_cls: 0.2535, decode.d8.loss_mask: 0.4847, decode.d8.loss_dice: 0.7419, loss: 16.0913, grad_norm: 44.6843 2023-11-12 09:13:21,279 - mmseg - INFO - Iter [74700/160000] lr: 5.331e-05, eta: 11:57:09, time: 0.504, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2502, decode.loss_mask: 0.4625, decode.loss_dice: 0.7207, decode.d0.loss_cls: 1.2546, decode.d0.loss_mask: 0.4969, decode.d0.loss_dice: 0.7957, decode.d1.loss_cls: 0.3196, decode.d1.loss_mask: 0.4781, decode.d1.loss_dice: 0.7588, decode.d2.loss_cls: 0.2848, decode.d2.loss_mask: 0.4701, decode.d2.loss_dice: 0.7383, decode.d3.loss_cls: 0.2714, decode.d3.loss_mask: 0.4653, decode.d3.loss_dice: 0.7301, decode.d4.loss_cls: 0.2591, decode.d4.loss_mask: 0.4651, decode.d4.loss_dice: 0.7325, decode.d5.loss_cls: 0.2556, decode.d5.loss_mask: 0.4654, decode.d5.loss_dice: 0.7267, decode.d6.loss_cls: 0.2550, decode.d6.loss_mask: 0.4613, decode.d6.loss_dice: 0.7212, decode.d7.loss_cls: 0.2480, decode.d7.loss_mask: 0.4625, decode.d7.loss_dice: 0.7224, decode.d8.loss_cls: 0.2468, decode.d8.loss_mask: 0.4630, decode.d8.loss_dice: 0.7181, loss: 15.6997, grad_norm: 44.7927 2023-11-12 09:13:45,951 - mmseg - INFO - Iter [74750/160000] lr: 5.328e-05, eta: 11:56:43, time: 0.493, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2386, decode.loss_mask: 0.4709, decode.loss_dice: 0.7274, decode.d0.loss_cls: 1.2694, decode.d0.loss_mask: 0.5014, decode.d0.loss_dice: 0.7918, decode.d1.loss_cls: 0.3181, decode.d1.loss_mask: 0.4831, decode.d1.loss_dice: 0.7642, decode.d2.loss_cls: 0.2788, decode.d2.loss_mask: 0.4763, decode.d2.loss_dice: 0.7434, decode.d3.loss_cls: 0.2602, decode.d3.loss_mask: 0.4733, decode.d3.loss_dice: 0.7329, decode.d4.loss_cls: 0.2551, decode.d4.loss_mask: 0.4717, decode.d4.loss_dice: 0.7293, decode.d5.loss_cls: 0.2483, decode.d5.loss_mask: 0.4700, decode.d5.loss_dice: 0.7333, decode.d6.loss_cls: 0.2423, decode.d6.loss_mask: 0.4691, decode.d6.loss_dice: 0.7271, decode.d7.loss_cls: 0.2416, decode.d7.loss_mask: 0.4697, decode.d7.loss_dice: 0.7261, decode.d8.loss_cls: 0.2386, decode.d8.loss_mask: 0.4704, decode.d8.loss_dice: 0.7260, loss: 15.7483, grad_norm: 51.4524 2023-11-12 09:14:09,779 - mmseg - INFO - Iter [74800/160000] lr: 5.325e-05, eta: 11:56:16, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2673, decode.loss_mask: 0.5066, decode.loss_dice: 0.7523, decode.d0.loss_cls: 1.2582, decode.d0.loss_mask: 0.5443, decode.d0.loss_dice: 0.8319, decode.d1.loss_cls: 0.3405, decode.d1.loss_mask: 0.5257, decode.d1.loss_dice: 0.8000, decode.d2.loss_cls: 0.3018, decode.d2.loss_mask: 0.5125, decode.d2.loss_dice: 0.7775, decode.d3.loss_cls: 0.2828, decode.d3.loss_mask: 0.5072, decode.d3.loss_dice: 0.7559, decode.d4.loss_cls: 0.2692, decode.d4.loss_mask: 0.5079, decode.d4.loss_dice: 0.7596, decode.d5.loss_cls: 0.2680, decode.d5.loss_mask: 0.5083, decode.d5.loss_dice: 0.7618, decode.d6.loss_cls: 0.2703, decode.d6.loss_mask: 0.5059, decode.d6.loss_dice: 0.7539, decode.d7.loss_cls: 0.2700, decode.d7.loss_mask: 0.5064, decode.d7.loss_dice: 0.7564, decode.d8.loss_cls: 0.2653, decode.d8.loss_mask: 0.5065, decode.d8.loss_dice: 0.7578, loss: 16.6319, grad_norm: 50.4356 2023-11-12 09:14:33,659 - mmseg - INFO - Iter [74850/160000] lr: 5.322e-05, eta: 11:55:49, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2383, decode.loss_mask: 0.4850, decode.loss_dice: 0.7274, decode.d0.loss_cls: 1.2298, decode.d0.loss_mask: 0.5101, decode.d0.loss_dice: 0.8009, decode.d1.loss_cls: 0.3226, decode.d1.loss_mask: 0.4942, decode.d1.loss_dice: 0.7703, decode.d2.loss_cls: 0.2741, decode.d2.loss_mask: 0.4907, decode.d2.loss_dice: 0.7477, decode.d3.loss_cls: 0.2549, decode.d3.loss_mask: 0.4865, decode.d3.loss_dice: 0.7331, decode.d4.loss_cls: 0.2511, decode.d4.loss_mask: 0.4863, decode.d4.loss_dice: 0.7342, decode.d5.loss_cls: 0.2441, decode.d5.loss_mask: 0.4856, decode.d5.loss_dice: 0.7325, decode.d6.loss_cls: 0.2445, decode.d6.loss_mask: 0.4834, decode.d6.loss_dice: 0.7253, decode.d7.loss_cls: 0.2383, decode.d7.loss_mask: 0.4860, decode.d7.loss_dice: 0.7332, decode.d8.loss_cls: 0.2362, decode.d8.loss_mask: 0.4856, decode.d8.loss_dice: 0.7288, loss: 15.8608, grad_norm: 45.2628 2023-11-12 09:14:57,708 - mmseg - INFO - Iter [74900/160000] lr: 5.319e-05, eta: 11:55:23, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2477, decode.loss_mask: 0.4886, decode.loss_dice: 0.7101, decode.d0.loss_cls: 1.2510, decode.d0.loss_mask: 0.5264, decode.d0.loss_dice: 0.7819, decode.d1.loss_cls: 0.3236, decode.d1.loss_mask: 0.5069, decode.d1.loss_dice: 0.7520, decode.d2.loss_cls: 0.2834, decode.d2.loss_mask: 0.4971, decode.d2.loss_dice: 0.7263, decode.d3.loss_cls: 0.2654, decode.d3.loss_mask: 0.4941, decode.d3.loss_dice: 0.7159, decode.d4.loss_cls: 0.2576, decode.d4.loss_mask: 0.4939, decode.d4.loss_dice: 0.7193, decode.d5.loss_cls: 0.2590, decode.d5.loss_mask: 0.4912, decode.d5.loss_dice: 0.7181, decode.d6.loss_cls: 0.2566, decode.d6.loss_mask: 0.4912, decode.d6.loss_dice: 0.7095, decode.d7.loss_cls: 0.2499, decode.d7.loss_mask: 0.4901, decode.d7.loss_dice: 0.7142, decode.d8.loss_cls: 0.2486, decode.d8.loss_mask: 0.4894, decode.d8.loss_dice: 0.7129, loss: 15.8720, grad_norm: 45.6848 2023-11-12 09:15:21,903 - mmseg - INFO - Iter [74950/160000] lr: 5.316e-05, eta: 11:54:56, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2541, decode.loss_mask: 0.4816, decode.loss_dice: 0.7301, decode.d0.loss_cls: 1.2514, decode.d0.loss_mask: 0.5250, decode.d0.loss_dice: 0.8060, decode.d1.loss_cls: 0.3395, decode.d1.loss_mask: 0.5034, decode.d1.loss_dice: 0.7702, decode.d2.loss_cls: 0.2946, decode.d2.loss_mask: 0.4900, decode.d2.loss_dice: 0.7492, decode.d3.loss_cls: 0.2744, decode.d3.loss_mask: 0.4861, decode.d3.loss_dice: 0.7377, decode.d4.loss_cls: 0.2649, decode.d4.loss_mask: 0.4855, decode.d4.loss_dice: 0.7438, decode.d5.loss_cls: 0.2601, decode.d5.loss_mask: 0.4850, decode.d5.loss_dice: 0.7403, decode.d6.loss_cls: 0.2559, decode.d6.loss_mask: 0.4835, decode.d6.loss_dice: 0.7331, decode.d7.loss_cls: 0.2564, decode.d7.loss_mask: 0.4829, decode.d7.loss_dice: 0.7330, decode.d8.loss_cls: 0.2532, decode.d8.loss_mask: 0.4836, decode.d8.loss_dice: 0.7322, loss: 16.0868, grad_norm: 45.9231 2023-11-12 09:15:45,923 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 09:15:45,923 - mmseg - INFO - Iter [75000/160000] lr: 5.313e-05, eta: 11:54:30, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2285, decode.loss_mask: 0.4922, decode.loss_dice: 0.7199, decode.d0.loss_cls: 1.2269, decode.d0.loss_mask: 0.5280, decode.d0.loss_dice: 0.7836, decode.d1.loss_cls: 0.2990, decode.d1.loss_mask: 0.5086, decode.d1.loss_dice: 0.7627, decode.d2.loss_cls: 0.2590, decode.d2.loss_mask: 0.5025, decode.d2.loss_dice: 0.7411, decode.d3.loss_cls: 0.2434, decode.d3.loss_mask: 0.4957, decode.d3.loss_dice: 0.7306, decode.d4.loss_cls: 0.2375, decode.d4.loss_mask: 0.4938, decode.d4.loss_dice: 0.7266, decode.d5.loss_cls: 0.2289, decode.d5.loss_mask: 0.4923, decode.d5.loss_dice: 0.7306, decode.d6.loss_cls: 0.2331, decode.d6.loss_mask: 0.4892, decode.d6.loss_dice: 0.7195, decode.d7.loss_cls: 0.2350, decode.d7.loss_mask: 0.4919, decode.d7.loss_dice: 0.7208, decode.d8.loss_cls: 0.2264, decode.d8.loss_mask: 0.4921, decode.d8.loss_dice: 0.7232, loss: 15.7625, grad_norm: 48.1714 2023-11-12 09:16:10,146 - mmseg - INFO - Iter [75050/160000] lr: 5.309e-05, eta: 11:54:03, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2523, decode.loss_mask: 0.4933, decode.loss_dice: 0.7544, decode.d0.loss_cls: 1.2561, decode.d0.loss_mask: 0.5268, decode.d0.loss_dice: 0.8222, decode.d1.loss_cls: 0.3357, decode.d1.loss_mask: 0.5075, decode.d1.loss_dice: 0.7865, decode.d2.loss_cls: 0.2945, decode.d2.loss_mask: 0.4977, decode.d2.loss_dice: 0.7721, decode.d3.loss_cls: 0.2730, decode.d3.loss_mask: 0.4958, decode.d3.loss_dice: 0.7635, decode.d4.loss_cls: 0.2636, decode.d4.loss_mask: 0.4959, decode.d4.loss_dice: 0.7619, decode.d5.loss_cls: 0.2571, decode.d5.loss_mask: 0.4927, decode.d5.loss_dice: 0.7580, decode.d6.loss_cls: 0.2526, decode.d6.loss_mask: 0.4934, decode.d6.loss_dice: 0.7539, decode.d7.loss_cls: 0.2524, decode.d7.loss_mask: 0.4928, decode.d7.loss_dice: 0.7567, decode.d8.loss_cls: 0.2540, decode.d8.loss_mask: 0.4935, decode.d8.loss_dice: 0.7529, loss: 16.3625, grad_norm: 49.4655 2023-11-12 09:16:34,058 - mmseg - INFO - Iter [75100/160000] lr: 5.306e-05, eta: 11:53:37, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2412, decode.loss_mask: 0.5157, decode.loss_dice: 0.7518, decode.d0.loss_cls: 1.2393, decode.d0.loss_mask: 0.5430, decode.d0.loss_dice: 0.8068, decode.d1.loss_cls: 0.3168, decode.d1.loss_mask: 0.5314, decode.d1.loss_dice: 0.7867, decode.d2.loss_cls: 0.2784, decode.d2.loss_mask: 0.5236, decode.d2.loss_dice: 0.7672, decode.d3.loss_cls: 0.2620, decode.d3.loss_mask: 0.5156, decode.d3.loss_dice: 0.7525, decode.d4.loss_cls: 0.2620, decode.d4.loss_mask: 0.5145, decode.d4.loss_dice: 0.7546, decode.d5.loss_cls: 0.2563, decode.d5.loss_mask: 0.5147, decode.d5.loss_dice: 0.7527, decode.d6.loss_cls: 0.2551, decode.d6.loss_mask: 0.5144, decode.d6.loss_dice: 0.7447, decode.d7.loss_cls: 0.2423, decode.d7.loss_mask: 0.5150, decode.d7.loss_dice: 0.7488, decode.d8.loss_cls: 0.2450, decode.d8.loss_mask: 0.5165, decode.d8.loss_dice: 0.7471, loss: 16.4158, grad_norm: 48.4506 2023-11-12 09:16:58,022 - mmseg - INFO - Iter [75150/160000] lr: 5.303e-05, eta: 11:53:10, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2524, decode.loss_mask: 0.4882, decode.loss_dice: 0.7519, decode.d0.loss_cls: 1.2475, decode.d0.loss_mask: 0.5285, decode.d0.loss_dice: 0.8214, decode.d1.loss_cls: 0.3277, decode.d1.loss_mask: 0.5089, decode.d1.loss_dice: 0.7891, decode.d2.loss_cls: 0.2811, decode.d2.loss_mask: 0.4945, decode.d2.loss_dice: 0.7638, decode.d3.loss_cls: 0.2693, decode.d3.loss_mask: 0.4915, decode.d3.loss_dice: 0.7504, decode.d4.loss_cls: 0.2606, decode.d4.loss_mask: 0.4894, decode.d4.loss_dice: 0.7507, decode.d5.loss_cls: 0.2553, decode.d5.loss_mask: 0.4880, decode.d5.loss_dice: 0.7540, decode.d6.loss_cls: 0.2493, decode.d6.loss_mask: 0.4889, decode.d6.loss_dice: 0.7476, decode.d7.loss_cls: 0.2532, decode.d7.loss_mask: 0.4874, decode.d7.loss_dice: 0.7487, decode.d8.loss_cls: 0.2481, decode.d8.loss_mask: 0.4889, decode.d8.loss_dice: 0.7517, loss: 16.2281, grad_norm: 42.3749 2023-11-12 09:17:21,882 - mmseg - INFO - Iter [75200/160000] lr: 5.300e-05, eta: 11:52:43, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2623, decode.loss_mask: 0.5083, decode.loss_dice: 0.7560, decode.d0.loss_cls: 1.2476, decode.d0.loss_mask: 0.5429, decode.d0.loss_dice: 0.8271, decode.d1.loss_cls: 0.3417, decode.d1.loss_mask: 0.5245, decode.d1.loss_dice: 0.7943, decode.d2.loss_cls: 0.3021, decode.d2.loss_mask: 0.5165, decode.d2.loss_dice: 0.7756, decode.d3.loss_cls: 0.2873, decode.d3.loss_mask: 0.5102, decode.d3.loss_dice: 0.7613, decode.d4.loss_cls: 0.2842, decode.d4.loss_mask: 0.5104, decode.d4.loss_dice: 0.7620, decode.d5.loss_cls: 0.2742, decode.d5.loss_mask: 0.5091, decode.d5.loss_dice: 0.7610, decode.d6.loss_cls: 0.2713, decode.d6.loss_mask: 0.5110, decode.d6.loss_dice: 0.7572, decode.d7.loss_cls: 0.2750, decode.d7.loss_mask: 0.5090, decode.d7.loss_dice: 0.7609, decode.d8.loss_cls: 0.2656, decode.d8.loss_mask: 0.5087, decode.d8.loss_dice: 0.7597, loss: 16.6768, grad_norm: 48.5955 2023-11-12 09:17:45,817 - mmseg - INFO - Iter [75250/160000] lr: 5.297e-05, eta: 11:52:17, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2519, decode.loss_mask: 0.4878, decode.loss_dice: 0.7312, decode.d0.loss_cls: 1.2602, decode.d0.loss_mask: 0.5258, decode.d0.loss_dice: 0.8058, decode.d1.loss_cls: 0.3293, decode.d1.loss_mask: 0.5060, decode.d1.loss_dice: 0.7775, decode.d2.loss_cls: 0.2869, decode.d2.loss_mask: 0.4979, decode.d2.loss_dice: 0.7533, decode.d3.loss_cls: 0.2774, decode.d3.loss_mask: 0.4934, decode.d3.loss_dice: 0.7354, decode.d4.loss_cls: 0.2574, decode.d4.loss_mask: 0.4926, decode.d4.loss_dice: 0.7366, decode.d5.loss_cls: 0.2600, decode.d5.loss_mask: 0.4886, decode.d5.loss_dice: 0.7301, decode.d6.loss_cls: 0.2554, decode.d6.loss_mask: 0.4904, decode.d6.loss_dice: 0.7295, decode.d7.loss_cls: 0.2506, decode.d7.loss_mask: 0.4894, decode.d7.loss_dice: 0.7314, decode.d8.loss_cls: 0.2511, decode.d8.loss_mask: 0.4869, decode.d8.loss_dice: 0.7296, loss: 16.0995, grad_norm: 46.3940 2023-11-12 09:18:09,866 - mmseg - INFO - Iter [75300/160000] lr: 5.294e-05, eta: 11:51:50, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2463, decode.loss_mask: 0.5014, decode.loss_dice: 0.7246, decode.d0.loss_cls: 1.2401, decode.d0.loss_mask: 0.5337, decode.d0.loss_dice: 0.7947, decode.d1.loss_cls: 0.3108, decode.d1.loss_mask: 0.5172, decode.d1.loss_dice: 0.7696, decode.d2.loss_cls: 0.2837, decode.d2.loss_mask: 0.5073, decode.d2.loss_dice: 0.7434, decode.d3.loss_cls: 0.2667, decode.d3.loss_mask: 0.5032, decode.d3.loss_dice: 0.7319, decode.d4.loss_cls: 0.2549, decode.d4.loss_mask: 0.5023, decode.d4.loss_dice: 0.7300, decode.d5.loss_cls: 0.2544, decode.d5.loss_mask: 0.5026, decode.d5.loss_dice: 0.7276, decode.d6.loss_cls: 0.2491, decode.d6.loss_mask: 0.5007, decode.d6.loss_dice: 0.7220, decode.d7.loss_cls: 0.2491, decode.d7.loss_mask: 0.5004, decode.d7.loss_dice: 0.7251, decode.d8.loss_cls: 0.2467, decode.d8.loss_mask: 0.5002, decode.d8.loss_dice: 0.7296, loss: 16.0695, grad_norm: 45.2367 2023-11-12 09:18:33,958 - mmseg - INFO - Iter [75350/160000] lr: 5.291e-05, eta: 11:51:24, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2606, decode.loss_mask: 0.4883, decode.loss_dice: 0.7447, decode.d0.loss_cls: 1.2283, decode.d0.loss_mask: 0.5309, decode.d0.loss_dice: 0.8073, decode.d1.loss_cls: 0.3382, decode.d1.loss_mask: 0.5057, decode.d1.loss_dice: 0.7843, decode.d2.loss_cls: 0.3032, decode.d2.loss_mask: 0.4953, decode.d2.loss_dice: 0.7594, decode.d3.loss_cls: 0.2830, decode.d3.loss_mask: 0.4918, decode.d3.loss_dice: 0.7451, decode.d4.loss_cls: 0.2736, decode.d4.loss_mask: 0.4935, decode.d4.loss_dice: 0.7446, decode.d5.loss_cls: 0.2728, decode.d5.loss_mask: 0.4905, decode.d5.loss_dice: 0.7434, decode.d6.loss_cls: 0.2675, decode.d6.loss_mask: 0.4894, decode.d6.loss_dice: 0.7381, decode.d7.loss_cls: 0.2611, decode.d7.loss_mask: 0.4900, decode.d7.loss_dice: 0.7432, decode.d8.loss_cls: 0.2657, decode.d8.loss_mask: 0.4885, decode.d8.loss_dice: 0.7421, loss: 16.2702, grad_norm: 50.8708 2023-11-12 09:18:57,951 - mmseg - INFO - Iter [75400/160000] lr: 5.288e-05, eta: 11:50:57, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2462, decode.loss_mask: 0.4669, decode.loss_dice: 0.7252, decode.d0.loss_cls: 1.2186, decode.d0.loss_mask: 0.5000, decode.d0.loss_dice: 0.7908, decode.d1.loss_cls: 0.3183, decode.d1.loss_mask: 0.4831, decode.d1.loss_dice: 0.7571, decode.d2.loss_cls: 0.2800, decode.d2.loss_mask: 0.4733, decode.d2.loss_dice: 0.7385, decode.d3.loss_cls: 0.2611, decode.d3.loss_mask: 0.4709, decode.d3.loss_dice: 0.7224, decode.d4.loss_cls: 0.2504, decode.d4.loss_mask: 0.4680, decode.d4.loss_dice: 0.7287, decode.d5.loss_cls: 0.2499, decode.d5.loss_mask: 0.4684, decode.d5.loss_dice: 0.7278, decode.d6.loss_cls: 0.2436, decode.d6.loss_mask: 0.4693, decode.d6.loss_dice: 0.7261, decode.d7.loss_cls: 0.2408, decode.d7.loss_mask: 0.4684, decode.d7.loss_dice: 0.7248, decode.d8.loss_cls: 0.2435, decode.d8.loss_mask: 0.4681, decode.d8.loss_dice: 0.7254, loss: 15.6554, grad_norm: 46.6458 2023-11-12 09:19:21,942 - mmseg - INFO - Iter [75450/160000] lr: 5.284e-05, eta: 11:50:30, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2516, decode.loss_mask: 0.4886, decode.loss_dice: 0.7238, decode.d0.loss_cls: 1.2522, decode.d0.loss_mask: 0.5228, decode.d0.loss_dice: 0.7934, decode.d1.loss_cls: 0.3160, decode.d1.loss_mask: 0.5020, decode.d1.loss_dice: 0.7636, decode.d2.loss_cls: 0.2757, decode.d2.loss_mask: 0.4974, decode.d2.loss_dice: 0.7479, decode.d3.loss_cls: 0.2627, decode.d3.loss_mask: 0.4910, decode.d3.loss_dice: 0.7281, decode.d4.loss_cls: 0.2571, decode.d4.loss_mask: 0.4903, decode.d4.loss_dice: 0.7298, decode.d5.loss_cls: 0.2522, decode.d5.loss_mask: 0.4922, decode.d5.loss_dice: 0.7278, decode.d6.loss_cls: 0.2527, decode.d6.loss_mask: 0.4892, decode.d6.loss_dice: 0.7243, decode.d7.loss_cls: 0.2478, decode.d7.loss_mask: 0.4884, decode.d7.loss_dice: 0.7248, decode.d8.loss_cls: 0.2496, decode.d8.loss_mask: 0.4888, decode.d8.loss_dice: 0.7239, loss: 15.9557, grad_norm: 46.1381 2023-11-12 09:19:45,711 - mmseg - INFO - Iter [75500/160000] lr: 5.281e-05, eta: 11:50:04, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2595, decode.loss_mask: 0.5028, decode.loss_dice: 0.7463, decode.d0.loss_cls: 1.2357, decode.d0.loss_mask: 0.5464, decode.d0.loss_dice: 0.8193, decode.d1.loss_cls: 0.3317, decode.d1.loss_mask: 0.5211, decode.d1.loss_dice: 0.7811, decode.d2.loss_cls: 0.2949, decode.d2.loss_mask: 0.5081, decode.d2.loss_dice: 0.7655, decode.d3.loss_cls: 0.2743, decode.d3.loss_mask: 0.5057, decode.d3.loss_dice: 0.7526, decode.d4.loss_cls: 0.2586, decode.d4.loss_mask: 0.5065, decode.d4.loss_dice: 0.7531, decode.d5.loss_cls: 0.2626, decode.d5.loss_mask: 0.5039, decode.d5.loss_dice: 0.7545, decode.d6.loss_cls: 0.2615, decode.d6.loss_mask: 0.5035, decode.d6.loss_dice: 0.7485, decode.d7.loss_cls: 0.2634, decode.d7.loss_mask: 0.5059, decode.d7.loss_dice: 0.7480, decode.d8.loss_cls: 0.2583, decode.d8.loss_mask: 0.5033, decode.d8.loss_dice: 0.7480, loss: 16.4244, grad_norm: 46.2150 2023-11-12 09:20:09,956 - mmseg - INFO - Iter [75550/160000] lr: 5.278e-05, eta: 11:49:37, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2407, decode.loss_mask: 0.4792, decode.loss_dice: 0.7334, decode.d0.loss_cls: 1.2221, decode.d0.loss_mask: 0.5116, decode.d0.loss_dice: 0.7936, decode.d1.loss_cls: 0.3046, decode.d1.loss_mask: 0.4983, decode.d1.loss_dice: 0.7700, decode.d2.loss_cls: 0.2700, decode.d2.loss_mask: 0.4870, decode.d2.loss_dice: 0.7519, decode.d3.loss_cls: 0.2548, decode.d3.loss_mask: 0.4832, decode.d3.loss_dice: 0.7326, decode.d4.loss_cls: 0.2443, decode.d4.loss_mask: 0.4814, decode.d4.loss_dice: 0.7329, decode.d5.loss_cls: 0.2451, decode.d5.loss_mask: 0.4822, decode.d5.loss_dice: 0.7352, decode.d6.loss_cls: 0.2388, decode.d6.loss_mask: 0.4808, decode.d6.loss_dice: 0.7281, decode.d7.loss_cls: 0.2351, decode.d7.loss_mask: 0.4809, decode.d7.loss_dice: 0.7292, decode.d8.loss_cls: 0.2352, decode.d8.loss_mask: 0.4792, decode.d8.loss_dice: 0.7293, loss: 15.7908, grad_norm: 46.4617 2023-11-12 09:20:34,245 - mmseg - INFO - Iter [75600/160000] lr: 5.275e-05, eta: 11:49:11, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2383, decode.loss_mask: 0.4872, decode.loss_dice: 0.7509, decode.d0.loss_cls: 1.2371, decode.d0.loss_mask: 0.5196, decode.d0.loss_dice: 0.8173, decode.d1.loss_cls: 0.3189, decode.d1.loss_mask: 0.5017, decode.d1.loss_dice: 0.7902, decode.d2.loss_cls: 0.2825, decode.d2.loss_mask: 0.4942, decode.d2.loss_dice: 0.7690, decode.d3.loss_cls: 0.2654, decode.d3.loss_mask: 0.4896, decode.d3.loss_dice: 0.7517, decode.d4.loss_cls: 0.2529, decode.d4.loss_mask: 0.4884, decode.d4.loss_dice: 0.7542, decode.d5.loss_cls: 0.2461, decode.d5.loss_mask: 0.4887, decode.d5.loss_dice: 0.7553, decode.d6.loss_cls: 0.2445, decode.d6.loss_mask: 0.4871, decode.d6.loss_dice: 0.7500, decode.d7.loss_cls: 0.2446, decode.d7.loss_mask: 0.4875, decode.d7.loss_dice: 0.7512, decode.d8.loss_cls: 0.2374, decode.d8.loss_mask: 0.4867, decode.d8.loss_dice: 0.7493, loss: 16.1374, grad_norm: 47.7757 2023-11-12 09:20:58,176 - mmseg - INFO - Iter [75650/160000] lr: 5.272e-05, eta: 11:48:45, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2697, decode.loss_mask: 0.5025, decode.loss_dice: 0.7648, decode.d0.loss_cls: 1.2784, decode.d0.loss_mask: 0.5395, decode.d0.loss_dice: 0.8418, decode.d1.loss_cls: 0.3552, decode.d1.loss_mask: 0.5214, decode.d1.loss_dice: 0.8087, decode.d2.loss_cls: 0.3144, decode.d2.loss_mask: 0.5111, decode.d2.loss_dice: 0.7874, decode.d3.loss_cls: 0.2872, decode.d3.loss_mask: 0.5070, decode.d3.loss_dice: 0.7722, decode.d4.loss_cls: 0.2771, decode.d4.loss_mask: 0.5062, decode.d4.loss_dice: 0.7747, decode.d5.loss_cls: 0.2742, decode.d5.loss_mask: 0.5055, decode.d5.loss_dice: 0.7728, decode.d6.loss_cls: 0.2708, decode.d6.loss_mask: 0.5039, decode.d6.loss_dice: 0.7662, decode.d7.loss_cls: 0.2731, decode.d7.loss_mask: 0.5047, decode.d7.loss_dice: 0.7642, decode.d8.loss_cls: 0.2704, decode.d8.loss_mask: 0.5053, decode.d8.loss_dice: 0.7647, loss: 16.7951, grad_norm: 47.5071 2023-11-12 09:21:22,117 - mmseg - INFO - Iter [75700/160000] lr: 5.269e-05, eta: 11:48:18, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2597, decode.loss_mask: 0.4948, decode.loss_dice: 0.7598, decode.d0.loss_cls: 1.2497, decode.d0.loss_mask: 0.5344, decode.d0.loss_dice: 0.8297, decode.d1.loss_cls: 0.3407, decode.d1.loss_mask: 0.5135, decode.d1.loss_dice: 0.7943, decode.d2.loss_cls: 0.2999, decode.d2.loss_mask: 0.5003, decode.d2.loss_dice: 0.7741, decode.d3.loss_cls: 0.2826, decode.d3.loss_mask: 0.4989, decode.d3.loss_dice: 0.7663, decode.d4.loss_cls: 0.2804, decode.d4.loss_mask: 0.4957, decode.d4.loss_dice: 0.7618, decode.d5.loss_cls: 0.2731, decode.d5.loss_mask: 0.4953, decode.d5.loss_dice: 0.7621, decode.d6.loss_cls: 0.2685, decode.d6.loss_mask: 0.4944, decode.d6.loss_dice: 0.7544, decode.d7.loss_cls: 0.2632, decode.d7.loss_mask: 0.4948, decode.d7.loss_dice: 0.7568, decode.d8.loss_cls: 0.2638, decode.d8.loss_mask: 0.4940, decode.d8.loss_dice: 0.7575, loss: 16.5145, grad_norm: 49.8107 2023-11-12 09:21:46,121 - mmseg - INFO - Iter [75750/160000] lr: 5.266e-05, eta: 11:47:51, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2627, decode.loss_mask: 0.4940, decode.loss_dice: 0.7665, decode.d0.loss_cls: 1.2656, decode.d0.loss_mask: 0.5272, decode.d0.loss_dice: 0.8300, decode.d1.loss_cls: 0.3434, decode.d1.loss_mask: 0.5106, decode.d1.loss_dice: 0.8057, decode.d2.loss_cls: 0.3007, decode.d2.loss_mask: 0.5011, decode.d2.loss_dice: 0.7847, decode.d3.loss_cls: 0.2837, decode.d3.loss_mask: 0.4971, decode.d3.loss_dice: 0.7712, decode.d4.loss_cls: 0.2722, decode.d4.loss_mask: 0.4958, decode.d4.loss_dice: 0.7732, decode.d5.loss_cls: 0.2687, decode.d5.loss_mask: 0.4971, decode.d5.loss_dice: 0.7707, decode.d6.loss_cls: 0.2680, decode.d6.loss_mask: 0.4960, decode.d6.loss_dice: 0.7668, decode.d7.loss_cls: 0.2676, decode.d7.loss_mask: 0.4955, decode.d7.loss_dice: 0.7696, decode.d8.loss_cls: 0.2622, decode.d8.loss_mask: 0.4953, decode.d8.loss_dice: 0.7716, loss: 16.6144, grad_norm: 52.0367 2023-11-12 09:22:12,663 - mmseg - INFO - Iter [75800/160000] lr: 5.263e-05, eta: 11:47:28, time: 0.531, data_time: 0.057, memory: 41146, decode.loss_cls: 0.2492, decode.loss_mask: 0.4825, decode.loss_dice: 0.7138, decode.d0.loss_cls: 1.2523, decode.d0.loss_mask: 0.5221, decode.d0.loss_dice: 0.7870, decode.d1.loss_cls: 0.3175, decode.d1.loss_mask: 0.4949, decode.d1.loss_dice: 0.7542, decode.d2.loss_cls: 0.2811, decode.d2.loss_mask: 0.4860, decode.d2.loss_dice: 0.7337, decode.d3.loss_cls: 0.2629, decode.d3.loss_mask: 0.4845, decode.d3.loss_dice: 0.7234, decode.d4.loss_cls: 0.2553, decode.d4.loss_mask: 0.4843, decode.d4.loss_dice: 0.7269, decode.d5.loss_cls: 0.2566, decode.d5.loss_mask: 0.4827, decode.d5.loss_dice: 0.7221, decode.d6.loss_cls: 0.2557, decode.d6.loss_mask: 0.4852, decode.d6.loss_dice: 0.7169, decode.d7.loss_cls: 0.2481, decode.d7.loss_mask: 0.4849, decode.d7.loss_dice: 0.7164, decode.d8.loss_cls: 0.2475, decode.d8.loss_mask: 0.4840, decode.d8.loss_dice: 0.7178, loss: 15.8297, grad_norm: 45.7546 2023-11-12 09:22:36,783 - mmseg - INFO - Iter [75850/160000] lr: 5.259e-05, eta: 11:47:01, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2215, decode.loss_mask: 0.4861, decode.loss_dice: 0.7323, decode.d0.loss_cls: 1.2031, decode.d0.loss_mask: 0.5131, decode.d0.loss_dice: 0.7976, decode.d1.loss_cls: 0.2947, decode.d1.loss_mask: 0.5057, decode.d1.loss_dice: 0.7765, decode.d2.loss_cls: 0.2594, decode.d2.loss_mask: 0.4931, decode.d2.loss_dice: 0.7459, decode.d3.loss_cls: 0.2468, decode.d3.loss_mask: 0.4893, decode.d3.loss_dice: 0.7333, decode.d4.loss_cls: 0.2343, decode.d4.loss_mask: 0.4875, decode.d4.loss_dice: 0.7352, decode.d5.loss_cls: 0.2294, decode.d5.loss_mask: 0.4862, decode.d5.loss_dice: 0.7346, decode.d6.loss_cls: 0.2247, decode.d6.loss_mask: 0.4869, decode.d6.loss_dice: 0.7294, decode.d7.loss_cls: 0.2235, decode.d7.loss_mask: 0.4851, decode.d7.loss_dice: 0.7336, decode.d8.loss_cls: 0.2240, decode.d8.loss_mask: 0.4866, decode.d8.loss_dice: 0.7343, loss: 15.7336, grad_norm: 48.6727 2023-11-12 09:23:00,588 - mmseg - INFO - Iter [75900/160000] lr: 5.256e-05, eta: 11:46:34, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2436, decode.loss_mask: 0.5060, decode.loss_dice: 0.7344, decode.d0.loss_cls: 1.2219, decode.d0.loss_mask: 0.5416, decode.d0.loss_dice: 0.8004, decode.d1.loss_cls: 0.3116, decode.d1.loss_mask: 0.5274, decode.d1.loss_dice: 0.7810, decode.d2.loss_cls: 0.2767, decode.d2.loss_mask: 0.5143, decode.d2.loss_dice: 0.7573, decode.d3.loss_cls: 0.2611, decode.d3.loss_mask: 0.5091, decode.d3.loss_dice: 0.7413, decode.d4.loss_cls: 0.2545, decode.d4.loss_mask: 0.5106, decode.d4.loss_dice: 0.7435, decode.d5.loss_cls: 0.2514, decode.d5.loss_mask: 0.5065, decode.d5.loss_dice: 0.7373, decode.d6.loss_cls: 0.2444, decode.d6.loss_mask: 0.5051, decode.d6.loss_dice: 0.7319, decode.d7.loss_cls: 0.2430, decode.d7.loss_mask: 0.5075, decode.d7.loss_dice: 0.7370, decode.d8.loss_cls: 0.2431, decode.d8.loss_mask: 0.5055, decode.d8.loss_dice: 0.7349, loss: 16.1841, grad_norm: 47.3722 2023-11-12 09:23:24,345 - mmseg - INFO - Iter [75950/160000] lr: 5.253e-05, eta: 11:46:08, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2483, decode.loss_mask: 0.4937, decode.loss_dice: 0.7291, decode.d0.loss_cls: 1.2593, decode.d0.loss_mask: 0.5280, decode.d0.loss_dice: 0.8025, decode.d1.loss_cls: 0.3259, decode.d1.loss_mask: 0.5103, decode.d1.loss_dice: 0.7720, decode.d2.loss_cls: 0.2898, decode.d2.loss_mask: 0.4997, decode.d2.loss_dice: 0.7448, decode.d3.loss_cls: 0.2685, decode.d3.loss_mask: 0.4951, decode.d3.loss_dice: 0.7353, decode.d4.loss_cls: 0.2579, decode.d4.loss_mask: 0.4959, decode.d4.loss_dice: 0.7360, decode.d5.loss_cls: 0.2513, decode.d5.loss_mask: 0.4961, decode.d5.loss_dice: 0.7350, decode.d6.loss_cls: 0.2531, decode.d6.loss_mask: 0.4942, decode.d6.loss_dice: 0.7307, decode.d7.loss_cls: 0.2509, decode.d7.loss_mask: 0.4935, decode.d7.loss_dice: 0.7321, decode.d8.loss_cls: 0.2494, decode.d8.loss_mask: 0.4925, decode.d8.loss_dice: 0.7318, loss: 16.1029, grad_norm: 52.6536 2023-11-12 09:23:48,109 - mmseg - INFO - Saving checkpoint at 76000 iterations 2023-11-12 09:23:51,834 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 09:23:51,835 - mmseg - INFO - Iter [76000/160000] lr: 5.250e-05, eta: 11:45:45, time: 0.550, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2425, decode.loss_mask: 0.4827, decode.loss_dice: 0.7301, decode.d0.loss_cls: 1.2657, decode.d0.loss_mask: 0.5156, decode.d0.loss_dice: 0.7999, decode.d1.loss_cls: 0.3183, decode.d1.loss_mask: 0.4988, decode.d1.loss_dice: 0.7663, decode.d2.loss_cls: 0.2789, decode.d2.loss_mask: 0.4873, decode.d2.loss_dice: 0.7438, decode.d3.loss_cls: 0.2673, decode.d3.loss_mask: 0.4845, decode.d3.loss_dice: 0.7293, decode.d4.loss_cls: 0.2559, decode.d4.loss_mask: 0.4837, decode.d4.loss_dice: 0.7313, decode.d5.loss_cls: 0.2496, decode.d5.loss_mask: 0.4833, decode.d5.loss_dice: 0.7344, decode.d6.loss_cls: 0.2472, decode.d6.loss_mask: 0.4816, decode.d6.loss_dice: 0.7283, decode.d7.loss_cls: 0.2453, decode.d7.loss_mask: 0.4831, decode.d7.loss_dice: 0.7291, decode.d8.loss_cls: 0.2422, decode.d8.loss_mask: 0.4818, decode.d8.loss_dice: 0.7280, loss: 15.9156, grad_norm: 46.6596 2023-11-12 09:24:11,210 - mmseg - INFO - per class results: 2023-11-12 09:24:11,216 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.26 | 87.62 | | building | 83.27 | 91.7 | | sky | 94.47 | 96.89 | | floor | 83.38 | 89.58 | | tree | 74.75 | 86.86 | | ceiling | 84.08 | 89.55 | | road | 84.98 | 91.86 | | bed | 90.79 | 95.56 | | windowpane | 62.86 | 78.13 | | grass | 63.89 | 76.0 | | cabinet | 63.75 | 78.3 | | sidewalk | 69.89 | 83.5 | | person | 85.17 | 92.41 | | earth | 35.8 | 58.28 | | door | 50.92 | 68.05 | | table | 66.65 | 83.93 | | mountain | 60.83 | 72.76 | | plant | 54.38 | 68.73 | | curtain | 77.79 | 85.33 | | chair | 61.5 | 76.72 | | car | 85.66 | 91.34 | | water | 66.28 | 83.2 | | painting | 73.54 | 89.4 | | sofa | 70.68 | 81.51 | | shelf | 42.41 | 61.19 | | house | 45.64 | 73.61 | | sea | 75.52 | 82.84 | | mirror | 66.26 | 80.56 | | rug | 63.6 | 75.73 | | field | 23.11 | 36.68 | | armchair | 48.97 | 71.18 | | seat | 62.77 | 81.55 | | fence | 44.93 | 69.56 | | desk | 49.2 | 68.52 | | rock | 45.5 | 63.73 | | wardrobe | 49.29 | 71.81 | | lamp | 69.88 | 84.6 | | bathtub | 78.49 | 85.51 | | railing | 36.23 | 52.52 | | cushion | 64.36 | 77.45 | | base | 34.19 | 65.89 | | box | 29.21 | 40.3 | | column | 46.96 | 57.79 | | signboard | 35.97 | 56.92 | | chest of drawers | 48.01 | 61.66 | | counter | 28.72 | 34.71 | | sand | 47.76 | 50.73 | | sink | 74.27 | 80.81 | | skyscraper | 37.44 | 41.24 | | fireplace | 73.95 | 92.22 | | refrigerator | 78.21 | 82.53 | | grandstand | 42.23 | 69.68 | | path | 26.25 | 45.86 | | stairs | 29.77 | 47.47 | | runway | 56.56 | 57.03 | | case | 69.9 | 83.07 | | pool table | 94.54 | 97.03 | | pillow | 62.15 | 76.44 | | screen door | 63.16 | 80.9 | | stairway | 34.27 | 51.69 | | river | 29.0 | 45.03 | | bridge | 82.45 | 90.9 | | bookcase | 40.98 | 63.86 | | blind | 46.13 | 57.85 | | coffee table | 67.79 | 84.02 | | toilet | 89.87 | 93.42 | | flower | 46.61 | 61.03 | | book | 51.11 | 73.47 | | hill | 5.62 | 12.69 | | bench | 50.16 | 62.63 | | countertop | 59.91 | 73.89 | | stove | 80.67 | 85.57 | | palm | 56.55 | 74.18 | | kitchen island | 51.19 | 70.06 | | computer | 72.16 | 78.74 | | swivel chair | 38.54 | 50.6 | | boat | 76.32 | 84.52 | | bar | 57.83 | 70.4 | | arcade machine | 84.03 | 92.3 | | hovel | 46.07 | 78.64 | | bus | 94.4 | 96.76 | | towel | 70.94 | 78.58 | | light | 63.44 | 78.05 | | truck | 31.55 | 62.73 | | tower | 22.64 | 38.49 | | chandelier | 72.2 | 85.56 | | awning | 37.46 | 46.83 | | streetlight | 45.94 | 65.15 | | booth | 31.14 | 38.17 | | television receiver | 72.82 | 80.99 | | airplane | 69.04 | 77.2 | | dirt track | 4.99 | 51.29 | | apparel | 35.75 | 54.32 | | pole | 37.59 | 63.99 | | land | 6.9 | 8.59 | | bannister | 18.88 | 30.84 | | escalator | 40.56 | 67.15 | | ottoman | 55.53 | 68.81 | | bottle | 32.82 | 41.14 | | buffet | 40.4 | 54.41 | | poster | 21.72 | 29.11 | | stage | 20.95 | 29.47 | | van | 46.85 | 64.73 | | ship | 10.15 | 10.65 | | fountain | 20.36 | 21.93 | | conveyer belt | 67.57 | 94.75 | | canopy | 26.73 | 39.96 | | washer | 71.62 | 73.53 | | plaything | 49.6 | 64.66 | | swimming pool | 60.58 | 61.38 | | stool | 51.98 | 75.35 | | barrel | 75.24 | 98.16 | | basket | 45.85 | 57.51 | | waterfall | 66.89 | 92.55 | | tent | 96.05 | 98.06 | | bag | 20.97 | 28.01 | | minibike | 74.82 | 92.08 | | cradle | 85.79 | 97.43 | | oven | 24.07 | 66.86 | | ball | 51.26 | 62.35 | | food | 63.29 | 77.41 | | step | 19.92 | 31.82 | | tank | 49.56 | 66.0 | | trade name | 16.92 | 20.65 | | microwave | 40.91 | 45.58 | | pot | 50.41 | 58.51 | | animal | 57.28 | 58.71 | | bicycle | 60.58 | 79.49 | | lake | 56.62 | 63.33 | | dishwasher | 77.91 | 83.04 | | screen | 68.0 | 95.26 | | blanket | 29.18 | 36.04 | | sculpture | 57.69 | 87.83 | | hood | 64.31 | 77.63 | | sconce | 50.92 | 65.66 | | vase | 45.3 | 71.58 | | traffic light | 42.76 | 69.3 | | tray | 21.23 | 30.41 | | ashcan | 47.8 | 70.76 | | fan | 69.37 | 83.82 | | pier | 29.17 | 44.59 | | crt screen | 3.65 | 11.54 | | plate | 58.82 | 73.1 | | monitor | 9.6 | 13.49 | | bulletin board | 53.91 | 75.8 | | shower | 11.72 | 25.67 | | radiator | 71.44 | 86.25 | | glass | 21.81 | 24.93 | | clock | 53.32 | 71.39 | | flag | 45.66 | 50.69 | +---------------------+-------+-------+ 2023-11-12 09:24:11,216 - mmseg - INFO - Summary: 2023-11-12 09:24:11,216 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.87 | 53.07 | 66.73 | +-------+-------+-------+ 2023-11-12 09:24:11,234 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_60000.pth was removed 2023-11-12 09:24:14,557 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_76000.pth. 2023-11-12 09:24:14,558 - mmseg - INFO - Best mIoU is 0.5307 at 76000 iter. 2023-11-12 09:24:14,558 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 09:24:14,558 - mmseg - INFO - Iter(val) [250] aAcc: 0.8387, mIoU: 0.5307, mAcc: 0.6673, IoU.wall: 0.7926, IoU.building: 0.8327, IoU.sky: 0.9447, IoU.floor: 0.8338, IoU.tree: 0.7475, IoU.ceiling: 0.8408, IoU.road: 0.8498, IoU.bed : 0.9079, IoU.windowpane: 0.6286, IoU.grass: 0.6389, IoU.cabinet: 0.6375, IoU.sidewalk: 0.6989, IoU.person: 0.8517, IoU.earth: 0.3580, IoU.door: 0.5092, IoU.table: 0.6665, IoU.mountain: 0.6083, IoU.plant: 0.5438, IoU.curtain: 0.7779, IoU.chair: 0.6150, IoU.car: 0.8566, IoU.water: 0.6628, IoU.painting: 0.7354, IoU.sofa: 0.7068, IoU.shelf: 0.4241, IoU.house: 0.4564, IoU.sea: 0.7552, IoU.mirror: 0.6626, IoU.rug: 0.6360, IoU.field: 0.2311, IoU.armchair: 0.4897, IoU.seat: 0.6277, IoU.fence: 0.4493, IoU.desk: 0.4920, IoU.rock: 0.4550, IoU.wardrobe: 0.4929, IoU.lamp: 0.6988, IoU.bathtub: 0.7849, IoU.railing: 0.3623, IoU.cushion: 0.6436, IoU.base: 0.3419, IoU.box: 0.2921, IoU.column: 0.4696, IoU.signboard: 0.3597, IoU.chest of drawers: 0.4801, IoU.counter: 0.2872, IoU.sand: 0.4776, IoU.sink: 0.7427, IoU.skyscraper: 0.3744, IoU.fireplace: 0.7395, IoU.refrigerator: 0.7821, IoU.grandstand: 0.4223, IoU.path: 0.2625, IoU.stairs: 0.2977, IoU.runway: 0.5656, IoU.case: 0.6990, IoU.pool table: 0.9454, IoU.pillow: 0.6215, IoU.screen door: 0.6316, IoU.stairway: 0.3427, IoU.river: 0.2900, IoU.bridge: 0.8245, IoU.bookcase: 0.4098, IoU.blind: 0.4613, IoU.coffee table: 0.6779, IoU.toilet: 0.8987, IoU.flower: 0.4661, IoU.book: 0.5111, IoU.hill: 0.0562, IoU.bench: 0.5016, IoU.countertop: 0.5991, IoU.stove: 0.8067, IoU.palm: 0.5655, IoU.kitchen island: 0.5119, IoU.computer: 0.7216, IoU.swivel chair: 0.3854, IoU.boat: 0.7632, IoU.bar: 0.5783, IoU.arcade machine: 0.8403, IoU.hovel: 0.4607, IoU.bus: 0.9440, IoU.towel: 0.7094, IoU.light: 0.6344, IoU.truck: 0.3155, IoU.tower: 0.2264, IoU.chandelier: 0.7220, IoU.awning: 0.3746, IoU.streetlight: 0.4594, IoU.booth: 0.3114, IoU.television receiver: 0.7282, IoU.airplane: 0.6904, IoU.dirt track: 0.0499, IoU.apparel: 0.3575, IoU.pole: 0.3759, IoU.land: 0.0690, IoU.bannister: 0.1888, IoU.escalator: 0.4056, IoU.ottoman: 0.5553, IoU.bottle: 0.3282, IoU.buffet: 0.4040, IoU.poster: 0.2172, IoU.stage: 0.2095, IoU.van: 0.4685, IoU.ship: 0.1015, IoU.fountain: 0.2036, IoU.conveyer belt: 0.6757, IoU.canopy: 0.2673, IoU.washer: 0.7162, IoU.plaything: 0.4960, IoU.swimming pool: 0.6058, IoU.stool: 0.5198, IoU.barrel: 0.7524, IoU.basket: 0.4585, IoU.waterfall: 0.6689, IoU.tent: 0.9605, IoU.bag: 0.2097, IoU.minibike: 0.7482, IoU.cradle: 0.8579, IoU.oven: 0.2407, IoU.ball: 0.5126, IoU.food: 0.6329, IoU.step: 0.1992, IoU.tank: 0.4956, IoU.trade name: 0.1692, IoU.microwave: 0.4091, IoU.pot: 0.5041, IoU.animal: 0.5728, IoU.bicycle: 0.6058, IoU.lake: 0.5662, IoU.dishwasher: 0.7791, IoU.screen: 0.6800, IoU.blanket: 0.2918, IoU.sculpture: 0.5769, IoU.hood: 0.6431, IoU.sconce: 0.5092, IoU.vase: 0.4530, IoU.traffic light: 0.4276, IoU.tray: 0.2123, IoU.ashcan: 0.4780, IoU.fan: 0.6937, IoU.pier: 0.2917, IoU.crt screen: 0.0365, IoU.plate: 0.5882, IoU.monitor: 0.0960, IoU.bulletin board: 0.5391, IoU.shower: 0.1172, IoU.radiator: 0.7144, IoU.glass: 0.2181, IoU.clock: 0.5332, IoU.flag: 0.4566, Acc.wall: 0.8762, Acc.building: 0.9170, Acc.sky: 0.9689, Acc.floor: 0.8958, Acc.tree: 0.8686, Acc.ceiling: 0.8955, Acc.road: 0.9186, Acc.bed : 0.9556, Acc.windowpane: 0.7813, Acc.grass: 0.7600, Acc.cabinet: 0.7830, Acc.sidewalk: 0.8350, Acc.person: 0.9241, Acc.earth: 0.5828, Acc.door: 0.6805, Acc.table: 0.8393, Acc.mountain: 0.7276, Acc.plant: 0.6873, Acc.curtain: 0.8533, Acc.chair: 0.7672, Acc.car: 0.9134, Acc.water: 0.8320, Acc.painting: 0.8940, Acc.sofa: 0.8151, Acc.shelf: 0.6119, Acc.house: 0.7361, Acc.sea: 0.8284, Acc.mirror: 0.8056, Acc.rug: 0.7573, Acc.field: 0.3668, Acc.armchair: 0.7118, Acc.seat: 0.8155, Acc.fence: 0.6956, Acc.desk: 0.6852, Acc.rock: 0.6373, Acc.wardrobe: 0.7181, Acc.lamp: 0.8460, Acc.bathtub: 0.8551, Acc.railing: 0.5252, Acc.cushion: 0.7745, Acc.base: 0.6589, Acc.box: 0.4030, Acc.column: 0.5779, Acc.signboard: 0.5692, Acc.chest of drawers: 0.6166, Acc.counter: 0.3471, Acc.sand: 0.5073, Acc.sink: 0.8081, Acc.skyscraper: 0.4124, Acc.fireplace: 0.9222, Acc.refrigerator: 0.8253, Acc.grandstand: 0.6968, Acc.path: 0.4586, Acc.stairs: 0.4747, Acc.runway: 0.5703, Acc.case: 0.8307, Acc.pool table: 0.9703, Acc.pillow: 0.7644, Acc.screen door: 0.8090, Acc.stairway: 0.5169, Acc.river: 0.4503, Acc.bridge: 0.9090, Acc.bookcase: 0.6386, Acc.blind: 0.5785, Acc.coffee table: 0.8402, Acc.toilet: 0.9342, Acc.flower: 0.6103, Acc.book: 0.7347, Acc.hill: 0.1269, Acc.bench: 0.6263, Acc.countertop: 0.7389, Acc.stove: 0.8557, Acc.palm: 0.7418, Acc.kitchen island: 0.7006, Acc.computer: 0.7874, Acc.swivel chair: 0.5060, Acc.boat: 0.8452, Acc.bar: 0.7040, Acc.arcade machine: 0.9230, Acc.hovel: 0.7864, Acc.bus: 0.9676, Acc.towel: 0.7858, Acc.light: 0.7805, Acc.truck: 0.6273, Acc.tower: 0.3849, Acc.chandelier: 0.8556, Acc.awning: 0.4683, Acc.streetlight: 0.6515, Acc.booth: 0.3817, Acc.television receiver: 0.8099, Acc.airplane: 0.7720, Acc.dirt track: 0.5129, Acc.apparel: 0.5432, Acc.pole: 0.6399, Acc.land: 0.0859, Acc.bannister: 0.3084, Acc.escalator: 0.6715, Acc.ottoman: 0.6881, Acc.bottle: 0.4114, Acc.buffet: 0.5441, Acc.poster: 0.2911, Acc.stage: 0.2947, Acc.van: 0.6473, Acc.ship: 0.1065, Acc.fountain: 0.2193, Acc.conveyer belt: 0.9475, Acc.canopy: 0.3996, Acc.washer: 0.7353, Acc.plaything: 0.6466, Acc.swimming pool: 0.6138, Acc.stool: 0.7535, Acc.barrel: 0.9816, Acc.basket: 0.5751, Acc.waterfall: 0.9255, Acc.tent: 0.9806, Acc.bag: 0.2801, Acc.minibike: 0.9208, Acc.cradle: 0.9743, Acc.oven: 0.6686, Acc.ball: 0.6235, Acc.food: 0.7741, Acc.step: 0.3182, Acc.tank: 0.6600, Acc.trade name: 0.2065, Acc.microwave: 0.4558, Acc.pot: 0.5851, Acc.animal: 0.5871, Acc.bicycle: 0.7949, Acc.lake: 0.6333, Acc.dishwasher: 0.8304, Acc.screen: 0.9526, Acc.blanket: 0.3604, Acc.sculpture: 0.8783, Acc.hood: 0.7763, Acc.sconce: 0.6566, Acc.vase: 0.7158, Acc.traffic light: 0.6930, Acc.tray: 0.3041, Acc.ashcan: 0.7076, Acc.fan: 0.8382, Acc.pier: 0.4459, Acc.crt screen: 0.1154, Acc.plate: 0.7310, Acc.monitor: 0.1349, Acc.bulletin board: 0.7580, Acc.shower: 0.2567, Acc.radiator: 0.8625, Acc.glass: 0.2493, Acc.clock: 0.7139, Acc.flag: 0.5069 2023-11-12 09:24:38,669 - mmseg - INFO - Iter [76050/160000] lr: 5.247e-05, eta: 11:45:44, time: 0.937, data_time: 0.468, memory: 41146, decode.loss_cls: 0.2433, decode.loss_mask: 0.4986, decode.loss_dice: 0.7393, decode.d0.loss_cls: 1.2610, decode.d0.loss_mask: 0.5308, decode.d0.loss_dice: 0.8155, decode.d1.loss_cls: 0.3221, decode.d1.loss_mask: 0.5127, decode.d1.loss_dice: 0.7790, decode.d2.loss_cls: 0.2866, decode.d2.loss_mask: 0.5018, decode.d2.loss_dice: 0.7602, decode.d3.loss_cls: 0.2692, decode.d3.loss_mask: 0.5009, decode.d3.loss_dice: 0.7427, decode.d4.loss_cls: 0.2560, decode.d4.loss_mask: 0.5000, decode.d4.loss_dice: 0.7490, decode.d5.loss_cls: 0.2539, decode.d5.loss_mask: 0.4997, decode.d5.loss_dice: 0.7455, decode.d6.loss_cls: 0.2529, decode.d6.loss_mask: 0.4997, decode.d6.loss_dice: 0.7405, decode.d7.loss_cls: 0.2433, decode.d7.loss_mask: 0.4983, decode.d7.loss_dice: 0.7451, decode.d8.loss_cls: 0.2435, decode.d8.loss_mask: 0.4988, decode.d8.loss_dice: 0.7458, loss: 16.2356, grad_norm: 52.8783 2023-11-12 09:25:02,764 - mmseg - INFO - Iter [76100/160000] lr: 5.244e-05, eta: 11:45:17, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2487, decode.loss_mask: 0.4879, decode.loss_dice: 0.7305, decode.d0.loss_cls: 1.2540, decode.d0.loss_mask: 0.5176, decode.d0.loss_dice: 0.8049, decode.d1.loss_cls: 0.3193, decode.d1.loss_mask: 0.4984, decode.d1.loss_dice: 0.7775, decode.d2.loss_cls: 0.2829, decode.d2.loss_mask: 0.4932, decode.d2.loss_dice: 0.7546, decode.d3.loss_cls: 0.2714, decode.d3.loss_mask: 0.4862, decode.d3.loss_dice: 0.7421, decode.d4.loss_cls: 0.2639, decode.d4.loss_mask: 0.4866, decode.d4.loss_dice: 0.7377, decode.d5.loss_cls: 0.2566, decode.d5.loss_mask: 0.4854, decode.d5.loss_dice: 0.7377, decode.d6.loss_cls: 0.2550, decode.d6.loss_mask: 0.4846, decode.d6.loss_dice: 0.7324, decode.d7.loss_cls: 0.2505, decode.d7.loss_mask: 0.4848, decode.d7.loss_dice: 0.7336, decode.d8.loss_cls: 0.2492, decode.d8.loss_mask: 0.4854, decode.d8.loss_dice: 0.7335, loss: 16.0463, grad_norm: 53.4298 2023-11-12 09:25:26,877 - mmseg - INFO - Iter [76150/160000] lr: 5.241e-05, eta: 11:44:51, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2463, decode.loss_mask: 0.4838, decode.loss_dice: 0.7376, decode.d0.loss_cls: 1.2604, decode.d0.loss_mask: 0.5141, decode.d0.loss_dice: 0.8094, decode.d1.loss_cls: 0.3265, decode.d1.loss_mask: 0.4960, decode.d1.loss_dice: 0.7747, decode.d2.loss_cls: 0.2790, decode.d2.loss_mask: 0.4907, decode.d2.loss_dice: 0.7559, decode.d3.loss_cls: 0.2684, decode.d3.loss_mask: 0.4861, decode.d3.loss_dice: 0.7358, decode.d4.loss_cls: 0.2601, decode.d4.loss_mask: 0.4852, decode.d4.loss_dice: 0.7373, decode.d5.loss_cls: 0.2522, decode.d5.loss_mask: 0.4834, decode.d5.loss_dice: 0.7414, decode.d6.loss_cls: 0.2513, decode.d6.loss_mask: 0.4841, decode.d6.loss_dice: 0.7307, decode.d7.loss_cls: 0.2446, decode.d7.loss_mask: 0.4835, decode.d7.loss_dice: 0.7343, decode.d8.loss_cls: 0.2426, decode.d8.loss_mask: 0.4830, decode.d8.loss_dice: 0.7345, loss: 16.0125, grad_norm: 47.4600 2023-11-12 09:25:50,849 - mmseg - INFO - Iter [76200/160000] lr: 5.238e-05, eta: 11:44:24, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2316, decode.loss_mask: 0.4621, decode.loss_dice: 0.7043, decode.d0.loss_cls: 1.2297, decode.d0.loss_mask: 0.4983, decode.d0.loss_dice: 0.7756, decode.d1.loss_cls: 0.3046, decode.d1.loss_mask: 0.4790, decode.d1.loss_dice: 0.7422, decode.d2.loss_cls: 0.2680, decode.d2.loss_mask: 0.4708, decode.d2.loss_dice: 0.7235, decode.d3.loss_cls: 0.2483, decode.d3.loss_mask: 0.4669, decode.d3.loss_dice: 0.7114, decode.d4.loss_cls: 0.2464, decode.d4.loss_mask: 0.4640, decode.d4.loss_dice: 0.7077, decode.d5.loss_cls: 0.2406, decode.d5.loss_mask: 0.4643, decode.d5.loss_dice: 0.7080, decode.d6.loss_cls: 0.2403, decode.d6.loss_mask: 0.4629, decode.d6.loss_dice: 0.7032, decode.d7.loss_cls: 0.2349, decode.d7.loss_mask: 0.4625, decode.d7.loss_dice: 0.7057, decode.d8.loss_cls: 0.2349, decode.d8.loss_mask: 0.4616, decode.d8.loss_dice: 0.7053, loss: 15.3584, grad_norm: 44.4742 2023-11-12 09:26:14,792 - mmseg - INFO - Iter [76250/160000] lr: 5.234e-05, eta: 11:43:58, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2421, decode.loss_mask: 0.4889, decode.loss_dice: 0.7304, decode.d0.loss_cls: 1.2245, decode.d0.loss_mask: 0.5236, decode.d0.loss_dice: 0.8021, decode.d1.loss_cls: 0.3055, decode.d1.loss_mask: 0.5043, decode.d1.loss_dice: 0.7675, decode.d2.loss_cls: 0.2673, decode.d2.loss_mask: 0.4966, decode.d2.loss_dice: 0.7506, decode.d3.loss_cls: 0.2530, decode.d3.loss_mask: 0.4940, decode.d3.loss_dice: 0.7367, decode.d4.loss_cls: 0.2456, decode.d4.loss_mask: 0.4928, decode.d4.loss_dice: 0.7365, decode.d5.loss_cls: 0.2397, decode.d5.loss_mask: 0.4899, decode.d5.loss_dice: 0.7385, decode.d6.loss_cls: 0.2390, decode.d6.loss_mask: 0.4925, decode.d6.loss_dice: 0.7318, decode.d7.loss_cls: 0.2417, decode.d7.loss_mask: 0.4898, decode.d7.loss_dice: 0.7337, decode.d8.loss_cls: 0.2409, decode.d8.loss_mask: 0.4901, decode.d8.loss_dice: 0.7367, loss: 15.9266, grad_norm: 48.6638 2023-11-12 09:26:38,527 - mmseg - INFO - Iter [76300/160000] lr: 5.231e-05, eta: 11:43:31, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2335, decode.loss_mask: 0.4862, decode.loss_dice: 0.7059, decode.d0.loss_cls: 1.2164, decode.d0.loss_mask: 0.5159, decode.d0.loss_dice: 0.7691, decode.d1.loss_cls: 0.3132, decode.d1.loss_mask: 0.4962, decode.d1.loss_dice: 0.7407, decode.d2.loss_cls: 0.2714, decode.d2.loss_mask: 0.4869, decode.d2.loss_dice: 0.7250, decode.d3.loss_cls: 0.2537, decode.d3.loss_mask: 0.4857, decode.d3.loss_dice: 0.7126, decode.d4.loss_cls: 0.2421, decode.d4.loss_mask: 0.4857, decode.d4.loss_dice: 0.7129, decode.d5.loss_cls: 0.2428, decode.d5.loss_mask: 0.4844, decode.d5.loss_dice: 0.7090, decode.d6.loss_cls: 0.2384, decode.d6.loss_mask: 0.4848, decode.d6.loss_dice: 0.7084, decode.d7.loss_cls: 0.2387, decode.d7.loss_mask: 0.4839, decode.d7.loss_dice: 0.7043, decode.d8.loss_cls: 0.2336, decode.d8.loss_mask: 0.4846, decode.d8.loss_dice: 0.7029, loss: 15.5690, grad_norm: 48.2129 2023-11-12 09:27:02,459 - mmseg - INFO - Iter [76350/160000] lr: 5.228e-05, eta: 11:43:04, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2496, decode.loss_mask: 0.4870, decode.loss_dice: 0.7312, decode.d0.loss_cls: 1.2411, decode.d0.loss_mask: 0.5245, decode.d0.loss_dice: 0.8042, decode.d1.loss_cls: 0.3134, decode.d1.loss_mask: 0.5019, decode.d1.loss_dice: 0.7719, decode.d2.loss_cls: 0.2865, decode.d2.loss_mask: 0.4944, decode.d2.loss_dice: 0.7466, decode.d3.loss_cls: 0.2658, decode.d3.loss_mask: 0.4901, decode.d3.loss_dice: 0.7371, decode.d4.loss_cls: 0.2535, decode.d4.loss_mask: 0.4920, decode.d4.loss_dice: 0.7402, decode.d5.loss_cls: 0.2571, decode.d5.loss_mask: 0.4897, decode.d5.loss_dice: 0.7372, decode.d6.loss_cls: 0.2548, decode.d6.loss_mask: 0.4888, decode.d6.loss_dice: 0.7328, decode.d7.loss_cls: 0.2469, decode.d7.loss_mask: 0.4889, decode.d7.loss_dice: 0.7325, decode.d8.loss_cls: 0.2448, decode.d8.loss_mask: 0.4872, decode.d8.loss_dice: 0.7373, loss: 16.0289, grad_norm: 47.2089 2023-11-12 09:27:26,329 - mmseg - INFO - Iter [76400/160000] lr: 5.225e-05, eta: 11:42:37, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2223, decode.loss_mask: 0.4904, decode.loss_dice: 0.7303, decode.d0.loss_cls: 1.2330, decode.d0.loss_mask: 0.5271, decode.d0.loss_dice: 0.7931, decode.d1.loss_cls: 0.3047, decode.d1.loss_mask: 0.5081, decode.d1.loss_dice: 0.7745, decode.d2.loss_cls: 0.2645, decode.d2.loss_mask: 0.4996, decode.d2.loss_dice: 0.7536, decode.d3.loss_cls: 0.2540, decode.d3.loss_mask: 0.4938, decode.d3.loss_dice: 0.7379, decode.d4.loss_cls: 0.2373, decode.d4.loss_mask: 0.4917, decode.d4.loss_dice: 0.7397, decode.d5.loss_cls: 0.2350, decode.d5.loss_mask: 0.4902, decode.d5.loss_dice: 0.7388, decode.d6.loss_cls: 0.2321, decode.d6.loss_mask: 0.4905, decode.d6.loss_dice: 0.7331, decode.d7.loss_cls: 0.2332, decode.d7.loss_mask: 0.4892, decode.d7.loss_dice: 0.7370, decode.d8.loss_cls: 0.2279, decode.d8.loss_mask: 0.4901, decode.d8.loss_dice: 0.7348, loss: 15.8875, grad_norm: 49.5457 2023-11-12 09:27:50,388 - mmseg - INFO - Iter [76450/160000] lr: 5.222e-05, eta: 11:42:11, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2565, decode.loss_mask: 0.4920, decode.loss_dice: 0.7488, decode.d0.loss_cls: 1.2683, decode.d0.loss_mask: 0.5267, decode.d0.loss_dice: 0.8188, decode.d1.loss_cls: 0.3283, decode.d1.loss_mask: 0.5048, decode.d1.loss_dice: 0.7862, decode.d2.loss_cls: 0.2892, decode.d2.loss_mask: 0.4994, decode.d2.loss_dice: 0.7694, decode.d3.loss_cls: 0.2831, decode.d3.loss_mask: 0.4912, decode.d3.loss_dice: 0.7488, decode.d4.loss_cls: 0.2671, decode.d4.loss_mask: 0.4890, decode.d4.loss_dice: 0.7550, decode.d5.loss_cls: 0.2666, decode.d5.loss_mask: 0.4900, decode.d5.loss_dice: 0.7536, decode.d6.loss_cls: 0.2572, decode.d6.loss_mask: 0.4919, decode.d6.loss_dice: 0.7509, decode.d7.loss_cls: 0.2560, decode.d7.loss_mask: 0.4912, decode.d7.loss_dice: 0.7516, decode.d8.loss_cls: 0.2548, decode.d8.loss_mask: 0.4912, decode.d8.loss_dice: 0.7520, loss: 16.3299, grad_norm: 48.4479 2023-11-12 09:28:14,369 - mmseg - INFO - Iter [76500/160000] lr: 5.219e-05, eta: 11:41:44, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2355, decode.loss_mask: 0.4990, decode.loss_dice: 0.7379, decode.d0.loss_cls: 1.2252, decode.d0.loss_mask: 0.5349, decode.d0.loss_dice: 0.8116, decode.d1.loss_cls: 0.3155, decode.d1.loss_mask: 0.5168, decode.d1.loss_dice: 0.7775, decode.d2.loss_cls: 0.2764, decode.d2.loss_mask: 0.5055, decode.d2.loss_dice: 0.7522, decode.d3.loss_cls: 0.2540, decode.d3.loss_mask: 0.5031, decode.d3.loss_dice: 0.7481, decode.d4.loss_cls: 0.2517, decode.d4.loss_mask: 0.4995, decode.d4.loss_dice: 0.7459, decode.d5.loss_cls: 0.2468, decode.d5.loss_mask: 0.4992, decode.d5.loss_dice: 0.7422, decode.d6.loss_cls: 0.2444, decode.d6.loss_mask: 0.4979, decode.d6.loss_dice: 0.7373, decode.d7.loss_cls: 0.2387, decode.d7.loss_mask: 0.4984, decode.d7.loss_dice: 0.7389, decode.d8.loss_cls: 0.2365, decode.d8.loss_mask: 0.4972, decode.d8.loss_dice: 0.7341, loss: 16.1018, grad_norm: 47.4417 2023-11-12 09:28:38,210 - mmseg - INFO - Iter [76550/160000] lr: 5.216e-05, eta: 11:41:18, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2578, decode.loss_mask: 0.4888, decode.loss_dice: 0.7276, decode.d0.loss_cls: 1.2541, decode.d0.loss_mask: 0.5264, decode.d0.loss_dice: 0.7990, decode.d1.loss_cls: 0.3335, decode.d1.loss_mask: 0.5060, decode.d1.loss_dice: 0.7716, decode.d2.loss_cls: 0.2958, decode.d2.loss_mask: 0.4974, decode.d2.loss_dice: 0.7490, decode.d3.loss_cls: 0.2787, decode.d3.loss_mask: 0.4942, decode.d3.loss_dice: 0.7363, decode.d4.loss_cls: 0.2695, decode.d4.loss_mask: 0.4922, decode.d4.loss_dice: 0.7352, decode.d5.loss_cls: 0.2614, decode.d5.loss_mask: 0.4902, decode.d5.loss_dice: 0.7327, decode.d6.loss_cls: 0.2620, decode.d6.loss_mask: 0.4898, decode.d6.loss_dice: 0.7278, decode.d7.loss_cls: 0.2580, decode.d7.loss_mask: 0.4901, decode.d7.loss_dice: 0.7282, decode.d8.loss_cls: 0.2584, decode.d8.loss_mask: 0.4889, decode.d8.loss_dice: 0.7290, loss: 16.1299, grad_norm: 49.1813 2023-11-12 09:29:02,150 - mmseg - INFO - Iter [76600/160000] lr: 5.213e-05, eta: 11:40:51, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2362, decode.loss_mask: 0.4875, decode.loss_dice: 0.7234, decode.d0.loss_cls: 1.2216, decode.d0.loss_mask: 0.5241, decode.d0.loss_dice: 0.7915, decode.d1.loss_cls: 0.3041, decode.d1.loss_mask: 0.5074, decode.d1.loss_dice: 0.7628, decode.d2.loss_cls: 0.2692, decode.d2.loss_mask: 0.4956, decode.d2.loss_dice: 0.7472, decode.d3.loss_cls: 0.2577, decode.d3.loss_mask: 0.4887, decode.d3.loss_dice: 0.7321, decode.d4.loss_cls: 0.2481, decode.d4.loss_mask: 0.4872, decode.d4.loss_dice: 0.7256, decode.d5.loss_cls: 0.2509, decode.d5.loss_mask: 0.4893, decode.d5.loss_dice: 0.7261, decode.d6.loss_cls: 0.2471, decode.d6.loss_mask: 0.4873, decode.d6.loss_dice: 0.7222, decode.d7.loss_cls: 0.2425, decode.d7.loss_mask: 0.4854, decode.d7.loss_dice: 0.7219, decode.d8.loss_cls: 0.2408, decode.d8.loss_mask: 0.4869, decode.d8.loss_dice: 0.7238, loss: 15.8342, grad_norm: 46.4506 2023-11-12 09:29:26,142 - mmseg - INFO - Iter [76650/160000] lr: 5.209e-05, eta: 11:40:24, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2616, decode.loss_mask: 0.5052, decode.loss_dice: 0.7414, decode.d0.loss_cls: 1.2547, decode.d0.loss_mask: 0.5402, decode.d0.loss_dice: 0.8089, decode.d1.loss_cls: 0.3297, decode.d1.loss_mask: 0.5224, decode.d1.loss_dice: 0.7818, decode.d2.loss_cls: 0.2963, decode.d2.loss_mask: 0.5169, decode.d2.loss_dice: 0.7597, decode.d3.loss_cls: 0.2806, decode.d3.loss_mask: 0.5084, decode.d3.loss_dice: 0.7510, decode.d4.loss_cls: 0.2681, decode.d4.loss_mask: 0.5087, decode.d4.loss_dice: 0.7516, decode.d5.loss_cls: 0.2665, decode.d5.loss_mask: 0.5062, decode.d5.loss_dice: 0.7462, decode.d6.loss_cls: 0.2705, decode.d6.loss_mask: 0.5046, decode.d6.loss_dice: 0.7429, decode.d7.loss_cls: 0.2600, decode.d7.loss_mask: 0.5070, decode.d7.loss_dice: 0.7444, decode.d8.loss_cls: 0.2637, decode.d8.loss_mask: 0.5063, decode.d8.loss_dice: 0.7406, loss: 16.4461, grad_norm: 46.8111 2023-11-12 09:29:50,034 - mmseg - INFO - Iter [76700/160000] lr: 5.206e-05, eta: 11:39:58, time: 0.478, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2381, decode.loss_mask: 0.5078, decode.loss_dice: 0.7449, decode.d0.loss_cls: 1.2302, decode.d0.loss_mask: 0.5419, decode.d0.loss_dice: 0.8073, decode.d1.loss_cls: 0.3166, decode.d1.loss_mask: 0.5273, decode.d1.loss_dice: 0.7900, decode.d2.loss_cls: 0.2837, decode.d2.loss_mask: 0.5142, decode.d2.loss_dice: 0.7631, decode.d3.loss_cls: 0.2594, decode.d3.loss_mask: 0.5101, decode.d3.loss_dice: 0.7532, decode.d4.loss_cls: 0.2574, decode.d4.loss_mask: 0.5076, decode.d4.loss_dice: 0.7487, decode.d5.loss_cls: 0.2531, decode.d5.loss_mask: 0.5072, decode.d5.loss_dice: 0.7472, decode.d6.loss_cls: 0.2452, decode.d6.loss_mask: 0.5055, decode.d6.loss_dice: 0.7417, decode.d7.loss_cls: 0.2413, decode.d7.loss_mask: 0.5064, decode.d7.loss_dice: 0.7425, decode.d8.loss_cls: 0.2411, decode.d8.loss_mask: 0.5069, decode.d8.loss_dice: 0.7460, loss: 16.2858, grad_norm: 46.8309 2023-11-12 09:30:13,776 - mmseg - INFO - Iter [76750/160000] lr: 5.203e-05, eta: 11:39:31, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2507, decode.loss_mask: 0.4969, decode.loss_dice: 0.7500, decode.d0.loss_cls: 1.2068, decode.d0.loss_mask: 0.5329, decode.d0.loss_dice: 0.8258, decode.d1.loss_cls: 0.3171, decode.d1.loss_mask: 0.5154, decode.d1.loss_dice: 0.7918, decode.d2.loss_cls: 0.2857, decode.d2.loss_mask: 0.5049, decode.d2.loss_dice: 0.7702, decode.d3.loss_cls: 0.2677, decode.d3.loss_mask: 0.5015, decode.d3.loss_dice: 0.7620, decode.d4.loss_cls: 0.2568, decode.d4.loss_mask: 0.5017, decode.d4.loss_dice: 0.7565, decode.d5.loss_cls: 0.2554, decode.d5.loss_mask: 0.5011, decode.d5.loss_dice: 0.7548, decode.d6.loss_cls: 0.2548, decode.d6.loss_mask: 0.4980, decode.d6.loss_dice: 0.7520, decode.d7.loss_cls: 0.2531, decode.d7.loss_mask: 0.4978, decode.d7.loss_dice: 0.7544, decode.d8.loss_cls: 0.2532, decode.d8.loss_mask: 0.4981, decode.d8.loss_dice: 0.7506, loss: 16.3175, grad_norm: 47.2986 2023-11-12 09:30:37,619 - mmseg - INFO - Iter [76800/160000] lr: 5.200e-05, eta: 11:39:04, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2501, decode.loss_mask: 0.4970, decode.loss_dice: 0.7261, decode.d0.loss_cls: 1.2704, decode.d0.loss_mask: 0.5329, decode.d0.loss_dice: 0.7931, decode.d1.loss_cls: 0.3269, decode.d1.loss_mask: 0.5122, decode.d1.loss_dice: 0.7625, decode.d2.loss_cls: 0.2831, decode.d2.loss_mask: 0.4999, decode.d2.loss_dice: 0.7415, decode.d3.loss_cls: 0.2727, decode.d3.loss_mask: 0.4962, decode.d3.loss_dice: 0.7341, decode.d4.loss_cls: 0.2599, decode.d4.loss_mask: 0.4977, decode.d4.loss_dice: 0.7360, decode.d5.loss_cls: 0.2572, decode.d5.loss_mask: 0.4975, decode.d5.loss_dice: 0.7314, decode.d6.loss_cls: 0.2566, decode.d6.loss_mask: 0.4954, decode.d6.loss_dice: 0.7259, decode.d7.loss_cls: 0.2539, decode.d7.loss_mask: 0.4980, decode.d7.loss_dice: 0.7244, decode.d8.loss_cls: 0.2557, decode.d8.loss_mask: 0.4971, decode.d8.loss_dice: 0.7235, loss: 16.1091, grad_norm: 48.3236 2023-11-12 09:31:01,352 - mmseg - INFO - Iter [76850/160000] lr: 5.197e-05, eta: 11:38:38, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2397, decode.loss_mask: 0.4781, decode.loss_dice: 0.7016, decode.d0.loss_cls: 1.2148, decode.d0.loss_mask: 0.5188, decode.d0.loss_dice: 0.7736, decode.d1.loss_cls: 0.3105, decode.d1.loss_mask: 0.4945, decode.d1.loss_dice: 0.7394, decode.d2.loss_cls: 0.2709, decode.d2.loss_mask: 0.4884, decode.d2.loss_dice: 0.7235, decode.d3.loss_cls: 0.2564, decode.d3.loss_mask: 0.4837, decode.d3.loss_dice: 0.7122, decode.d4.loss_cls: 0.2460, decode.d4.loss_mask: 0.4832, decode.d4.loss_dice: 0.7121, decode.d5.loss_cls: 0.2441, decode.d5.loss_mask: 0.4814, decode.d5.loss_dice: 0.7098, decode.d6.loss_cls: 0.2430, decode.d6.loss_mask: 0.4797, decode.d6.loss_dice: 0.6984, decode.d7.loss_cls: 0.2389, decode.d7.loss_mask: 0.4802, decode.d7.loss_dice: 0.7032, decode.d8.loss_cls: 0.2345, decode.d8.loss_mask: 0.4796, decode.d8.loss_dice: 0.7055, loss: 15.5457, grad_norm: 45.6865 2023-11-12 09:31:25,269 - mmseg - INFO - Iter [76900/160000] lr: 5.194e-05, eta: 11:38:11, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2469, decode.loss_mask: 0.4952, decode.loss_dice: 0.7416, decode.d0.loss_cls: 1.2534, decode.d0.loss_mask: 0.5373, decode.d0.loss_dice: 0.8165, decode.d1.loss_cls: 0.3256, decode.d1.loss_mask: 0.5167, decode.d1.loss_dice: 0.7820, decode.d2.loss_cls: 0.2897, decode.d2.loss_mask: 0.5050, decode.d2.loss_dice: 0.7664, decode.d3.loss_cls: 0.2738, decode.d3.loss_mask: 0.5007, decode.d3.loss_dice: 0.7462, decode.d4.loss_cls: 0.2590, decode.d4.loss_mask: 0.4979, decode.d4.loss_dice: 0.7502, decode.d5.loss_cls: 0.2552, decode.d5.loss_mask: 0.4980, decode.d5.loss_dice: 0.7490, decode.d6.loss_cls: 0.2520, decode.d6.loss_mask: 0.4964, decode.d6.loss_dice: 0.7457, decode.d7.loss_cls: 0.2464, decode.d7.loss_mask: 0.4955, decode.d7.loss_dice: 0.7455, decode.d8.loss_cls: 0.2501, decode.d8.loss_mask: 0.4946, decode.d8.loss_dice: 0.7418, loss: 16.2744, grad_norm: 44.6440 2023-11-12 09:31:49,604 - mmseg - INFO - Iter [76950/160000] lr: 5.191e-05, eta: 11:37:45, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2303, decode.loss_mask: 0.4926, decode.loss_dice: 0.7303, decode.d0.loss_cls: 1.2391, decode.d0.loss_mask: 0.5240, decode.d0.loss_dice: 0.7949, decode.d1.loss_cls: 0.3070, decode.d1.loss_mask: 0.5057, decode.d1.loss_dice: 0.7651, decode.d2.loss_cls: 0.2751, decode.d2.loss_mask: 0.4961, decode.d2.loss_dice: 0.7456, decode.d3.loss_cls: 0.2560, decode.d3.loss_mask: 0.4951, decode.d3.loss_dice: 0.7301, decode.d4.loss_cls: 0.2380, decode.d4.loss_mask: 0.4952, decode.d4.loss_dice: 0.7357, decode.d5.loss_cls: 0.2373, decode.d5.loss_mask: 0.4946, decode.d5.loss_dice: 0.7350, decode.d6.loss_cls: 0.2424, decode.d6.loss_mask: 0.4910, decode.d6.loss_dice: 0.7294, decode.d7.loss_cls: 0.2373, decode.d7.loss_mask: 0.4914, decode.d7.loss_dice: 0.7281, decode.d8.loss_cls: 0.2277, decode.d8.loss_mask: 0.4919, decode.d8.loss_dice: 0.7316, loss: 15.8938, grad_norm: 46.6340 2023-11-12 09:32:13,457 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 09:32:13,458 - mmseg - INFO - Iter [77000/160000] lr: 5.188e-05, eta: 11:37:18, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2562, decode.loss_mask: 0.5115, decode.loss_dice: 0.7319, decode.d0.loss_cls: 1.2311, decode.d0.loss_mask: 0.5587, decode.d0.loss_dice: 0.7935, decode.d1.loss_cls: 0.3115, decode.d1.loss_mask: 0.5351, decode.d1.loss_dice: 0.7743, decode.d2.loss_cls: 0.2789, decode.d2.loss_mask: 0.5224, decode.d2.loss_dice: 0.7479, decode.d3.loss_cls: 0.2582, decode.d3.loss_mask: 0.5165, decode.d3.loss_dice: 0.7387, decode.d4.loss_cls: 0.2599, decode.d4.loss_mask: 0.5153, decode.d4.loss_dice: 0.7320, decode.d5.loss_cls: 0.2491, decode.d5.loss_mask: 0.5144, decode.d5.loss_dice: 0.7378, decode.d6.loss_cls: 0.2520, decode.d6.loss_mask: 0.5128, decode.d6.loss_dice: 0.7315, decode.d7.loss_cls: 0.2483, decode.d7.loss_mask: 0.5128, decode.d7.loss_dice: 0.7313, decode.d8.loss_cls: 0.2489, decode.d8.loss_mask: 0.5114, decode.d8.loss_dice: 0.7284, loss: 16.2522, grad_norm: 48.0409 2023-11-12 09:32:39,811 - mmseg - INFO - Iter [77050/160000] lr: 5.184e-05, eta: 11:36:54, time: 0.527, data_time: 0.058, memory: 41146, decode.loss_cls: 0.2435, decode.loss_mask: 0.5132, decode.loss_dice: 0.7557, decode.d0.loss_cls: 1.2195, decode.d0.loss_mask: 0.5464, decode.d0.loss_dice: 0.8280, decode.d1.loss_cls: 0.3138, decode.d1.loss_mask: 0.5312, decode.d1.loss_dice: 0.7905, decode.d2.loss_cls: 0.2753, decode.d2.loss_mask: 0.5203, decode.d2.loss_dice: 0.7806, decode.d3.loss_cls: 0.2691, decode.d3.loss_mask: 0.5162, decode.d3.loss_dice: 0.7659, decode.d4.loss_cls: 0.2581, decode.d4.loss_mask: 0.5171, decode.d4.loss_dice: 0.7615, decode.d5.loss_cls: 0.2541, decode.d5.loss_mask: 0.5144, decode.d5.loss_dice: 0.7611, decode.d6.loss_cls: 0.2497, decode.d6.loss_mask: 0.5143, decode.d6.loss_dice: 0.7555, decode.d7.loss_cls: 0.2459, decode.d7.loss_mask: 0.5142, decode.d7.loss_dice: 0.7587, decode.d8.loss_cls: 0.2448, decode.d8.loss_mask: 0.5131, decode.d8.loss_dice: 0.7579, loss: 16.4896, grad_norm: 48.9679 2023-11-12 09:33:03,676 - mmseg - INFO - Iter [77100/160000] lr: 5.181e-05, eta: 11:36:28, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2552, decode.loss_mask: 0.5130, decode.loss_dice: 0.7333, decode.d0.loss_cls: 1.2239, decode.d0.loss_mask: 0.5472, decode.d0.loss_dice: 0.7962, decode.d1.loss_cls: 0.3288, decode.d1.loss_mask: 0.5279, decode.d1.loss_dice: 0.7732, decode.d2.loss_cls: 0.2855, decode.d2.loss_mask: 0.5187, decode.d2.loss_dice: 0.7468, decode.d3.loss_cls: 0.2798, decode.d3.loss_mask: 0.5141, decode.d3.loss_dice: 0.7333, decode.d4.loss_cls: 0.2687, decode.d4.loss_mask: 0.5142, decode.d4.loss_dice: 0.7308, decode.d5.loss_cls: 0.2621, decode.d5.loss_mask: 0.5139, decode.d5.loss_dice: 0.7355, decode.d6.loss_cls: 0.2597, decode.d6.loss_mask: 0.5133, decode.d6.loss_dice: 0.7326, decode.d7.loss_cls: 0.2558, decode.d7.loss_mask: 0.5121, decode.d7.loss_dice: 0.7300, decode.d8.loss_cls: 0.2525, decode.d8.loss_mask: 0.5135, decode.d8.loss_dice: 0.7316, loss: 16.3033, grad_norm: 48.6365 2023-11-12 09:33:27,505 - mmseg - INFO - Iter [77150/160000] lr: 5.178e-05, eta: 11:36:01, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2544, decode.loss_mask: 0.4763, decode.loss_dice: 0.7209, decode.d0.loss_cls: 1.2762, decode.d0.loss_mask: 0.5125, decode.d0.loss_dice: 0.7836, decode.d1.loss_cls: 0.3232, decode.d1.loss_mask: 0.4912, decode.d1.loss_dice: 0.7632, decode.d2.loss_cls: 0.2800, decode.d2.loss_mask: 0.4824, decode.d2.loss_dice: 0.7367, decode.d3.loss_cls: 0.2690, decode.d3.loss_mask: 0.4809, decode.d3.loss_dice: 0.7250, decode.d4.loss_cls: 0.2576, decode.d4.loss_mask: 0.4795, decode.d4.loss_dice: 0.7261, decode.d5.loss_cls: 0.2575, decode.d5.loss_mask: 0.4780, decode.d5.loss_dice: 0.7229, decode.d6.loss_cls: 0.2600, decode.d6.loss_mask: 0.4781, decode.d6.loss_dice: 0.7167, decode.d7.loss_cls: 0.2513, decode.d7.loss_mask: 0.4763, decode.d7.loss_dice: 0.7188, decode.d8.loss_cls: 0.2509, decode.d8.loss_mask: 0.4776, decode.d8.loss_dice: 0.7192, loss: 15.8459, grad_norm: 47.3230 2023-11-12 09:33:51,371 - mmseg - INFO - Iter [77200/160000] lr: 5.175e-05, eta: 11:35:34, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2430, decode.loss_mask: 0.4843, decode.loss_dice: 0.7203, decode.d0.loss_cls: 1.2490, decode.d0.loss_mask: 0.5125, decode.d0.loss_dice: 0.7841, decode.d1.loss_cls: 0.3144, decode.d1.loss_mask: 0.4997, decode.d1.loss_dice: 0.7548, decode.d2.loss_cls: 0.2817, decode.d2.loss_mask: 0.4887, decode.d2.loss_dice: 0.7349, decode.d3.loss_cls: 0.2634, decode.d3.loss_mask: 0.4853, decode.d3.loss_dice: 0.7271, decode.d4.loss_cls: 0.2558, decode.d4.loss_mask: 0.4854, decode.d4.loss_dice: 0.7275, decode.d5.loss_cls: 0.2504, decode.d5.loss_mask: 0.4866, decode.d5.loss_dice: 0.7261, decode.d6.loss_cls: 0.2481, decode.d6.loss_mask: 0.4831, decode.d6.loss_dice: 0.7197, decode.d7.loss_cls: 0.2481, decode.d7.loss_mask: 0.4834, decode.d7.loss_dice: 0.7223, decode.d8.loss_cls: 0.2450, decode.d8.loss_mask: 0.4838, decode.d8.loss_dice: 0.7220, loss: 15.8304, grad_norm: 48.2116 2023-11-12 09:34:15,150 - mmseg - INFO - Iter [77250/160000] lr: 5.172e-05, eta: 11:35:08, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2259, decode.loss_mask: 0.4744, decode.loss_dice: 0.6981, decode.d0.loss_cls: 1.2357, decode.d0.loss_mask: 0.5060, decode.d0.loss_dice: 0.7674, decode.d1.loss_cls: 0.3040, decode.d1.loss_mask: 0.4852, decode.d1.loss_dice: 0.7344, decode.d2.loss_cls: 0.2670, decode.d2.loss_mask: 0.4790, decode.d2.loss_dice: 0.7134, decode.d3.loss_cls: 0.2475, decode.d3.loss_mask: 0.4766, decode.d3.loss_dice: 0.7005, decode.d4.loss_cls: 0.2379, decode.d4.loss_mask: 0.4739, decode.d4.loss_dice: 0.7033, decode.d5.loss_cls: 0.2310, decode.d5.loss_mask: 0.4763, decode.d5.loss_dice: 0.7019, decode.d6.loss_cls: 0.2294, decode.d6.loss_mask: 0.4757, decode.d6.loss_dice: 0.6975, decode.d7.loss_cls: 0.2298, decode.d7.loss_mask: 0.4753, decode.d7.loss_dice: 0.6945, decode.d8.loss_cls: 0.2270, decode.d8.loss_mask: 0.4737, decode.d8.loss_dice: 0.6946, loss: 15.3368, grad_norm: 44.2482 2023-11-12 09:34:39,127 - mmseg - INFO - Iter [77300/160000] lr: 5.169e-05, eta: 11:34:41, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2481, decode.loss_mask: 0.4583, decode.loss_dice: 0.7164, decode.d0.loss_cls: 1.2576, decode.d0.loss_mask: 0.4906, decode.d0.loss_dice: 0.7856, decode.d1.loss_cls: 0.3297, decode.d1.loss_mask: 0.4696, decode.d1.loss_dice: 0.7532, decode.d2.loss_cls: 0.2891, decode.d2.loss_mask: 0.4628, decode.d2.loss_dice: 0.7383, decode.d3.loss_cls: 0.2724, decode.d3.loss_mask: 0.4596, decode.d3.loss_dice: 0.7161, decode.d4.loss_cls: 0.2615, decode.d4.loss_mask: 0.4572, decode.d4.loss_dice: 0.7178, decode.d5.loss_cls: 0.2584, decode.d5.loss_mask: 0.4585, decode.d5.loss_dice: 0.7178, decode.d6.loss_cls: 0.2568, decode.d6.loss_mask: 0.4579, decode.d6.loss_dice: 0.7137, decode.d7.loss_cls: 0.2516, decode.d7.loss_mask: 0.4580, decode.d7.loss_dice: 0.7150, decode.d8.loss_cls: 0.2505, decode.d8.loss_mask: 0.4563, decode.d8.loss_dice: 0.7172, loss: 15.5957, grad_norm: 43.2578 2023-11-12 09:35:03,079 - mmseg - INFO - Iter [77350/160000] lr: 5.166e-05, eta: 11:34:14, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2516, decode.loss_mask: 0.4707, decode.loss_dice: 0.7457, decode.d0.loss_cls: 1.2567, decode.d0.loss_mask: 0.5083, decode.d0.loss_dice: 0.8159, decode.d1.loss_cls: 0.3273, decode.d1.loss_mask: 0.4877, decode.d1.loss_dice: 0.7806, decode.d2.loss_cls: 0.2881, decode.d2.loss_mask: 0.4788, decode.d2.loss_dice: 0.7621, decode.d3.loss_cls: 0.2746, decode.d3.loss_mask: 0.4755, decode.d3.loss_dice: 0.7455, decode.d4.loss_cls: 0.2627, decode.d4.loss_mask: 0.4742, decode.d4.loss_dice: 0.7435, decode.d5.loss_cls: 0.2562, decode.d5.loss_mask: 0.4725, decode.d5.loss_dice: 0.7493, decode.d6.loss_cls: 0.2626, decode.d6.loss_mask: 0.4723, decode.d6.loss_dice: 0.7379, decode.d7.loss_cls: 0.2565, decode.d7.loss_mask: 0.4724, decode.d7.loss_dice: 0.7423, decode.d8.loss_cls: 0.2535, decode.d8.loss_mask: 0.4710, decode.d8.loss_dice: 0.7442, loss: 16.0401, grad_norm: 45.9912 2023-11-12 09:35:27,054 - mmseg - INFO - Iter [77400/160000] lr: 5.163e-05, eta: 11:33:48, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2416, decode.loss_mask: 0.4867, decode.loss_dice: 0.7313, decode.d0.loss_cls: 1.2447, decode.d0.loss_mask: 0.5179, decode.d0.loss_dice: 0.8012, decode.d1.loss_cls: 0.3187, decode.d1.loss_mask: 0.5037, decode.d1.loss_dice: 0.7638, decode.d2.loss_cls: 0.2803, decode.d2.loss_mask: 0.4936, decode.d2.loss_dice: 0.7496, decode.d3.loss_cls: 0.2708, decode.d3.loss_mask: 0.4883, decode.d3.loss_dice: 0.7317, decode.d4.loss_cls: 0.2577, decode.d4.loss_mask: 0.4901, decode.d4.loss_dice: 0.7338, decode.d5.loss_cls: 0.2515, decode.d5.loss_mask: 0.4872, decode.d5.loss_dice: 0.7365, decode.d6.loss_cls: 0.2522, decode.d6.loss_mask: 0.4858, decode.d6.loss_dice: 0.7326, decode.d7.loss_cls: 0.2441, decode.d7.loss_mask: 0.4851, decode.d7.loss_dice: 0.7309, decode.d8.loss_cls: 0.2461, decode.d8.loss_mask: 0.4862, decode.d8.loss_dice: 0.7334, loss: 15.9770, grad_norm: 46.7436 2023-11-12 09:35:51,164 - mmseg - INFO - Iter [77450/160000] lr: 5.159e-05, eta: 11:33:22, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2439, decode.loss_mask: 0.4836, decode.loss_dice: 0.7338, decode.d0.loss_cls: 1.2286, decode.d0.loss_mask: 0.5207, decode.d0.loss_dice: 0.8076, decode.d1.loss_cls: 0.3172, decode.d1.loss_mask: 0.5029, decode.d1.loss_dice: 0.7713, decode.d2.loss_cls: 0.2843, decode.d2.loss_mask: 0.4881, decode.d2.loss_dice: 0.7526, decode.d3.loss_cls: 0.2657, decode.d3.loss_mask: 0.4864, decode.d3.loss_dice: 0.7398, decode.d4.loss_cls: 0.2544, decode.d4.loss_mask: 0.4846, decode.d4.loss_dice: 0.7386, decode.d5.loss_cls: 0.2543, decode.d5.loss_mask: 0.4825, decode.d5.loss_dice: 0.7392, decode.d6.loss_cls: 0.2521, decode.d6.loss_mask: 0.4819, decode.d6.loss_dice: 0.7314, decode.d7.loss_cls: 0.2438, decode.d7.loss_mask: 0.4844, decode.d7.loss_dice: 0.7321, decode.d8.loss_cls: 0.2419, decode.d8.loss_mask: 0.4832, decode.d8.loss_dice: 0.7331, loss: 15.9638, grad_norm: 48.8248 2023-11-12 09:36:15,152 - mmseg - INFO - Iter [77500/160000] lr: 5.156e-05, eta: 11:32:55, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2389, decode.loss_mask: 0.4959, decode.loss_dice: 0.7343, decode.d0.loss_cls: 1.2220, decode.d0.loss_mask: 0.5301, decode.d0.loss_dice: 0.8047, decode.d1.loss_cls: 0.3146, decode.d1.loss_mask: 0.5085, decode.d1.loss_dice: 0.7747, decode.d2.loss_cls: 0.2818, decode.d2.loss_mask: 0.5004, decode.d2.loss_dice: 0.7482, decode.d3.loss_cls: 0.2688, decode.d3.loss_mask: 0.4942, decode.d3.loss_dice: 0.7377, decode.d4.loss_cls: 0.2517, decode.d4.loss_mask: 0.4964, decode.d4.loss_dice: 0.7436, decode.d5.loss_cls: 0.2532, decode.d5.loss_mask: 0.4947, decode.d5.loss_dice: 0.7378, decode.d6.loss_cls: 0.2530, decode.d6.loss_mask: 0.4933, decode.d6.loss_dice: 0.7340, decode.d7.loss_cls: 0.2437, decode.d7.loss_mask: 0.4954, decode.d7.loss_dice: 0.7338, decode.d8.loss_cls: 0.2374, decode.d8.loss_mask: 0.4961, decode.d8.loss_dice: 0.7387, loss: 16.0575, grad_norm: 46.3113 2023-11-12 09:36:38,875 - mmseg - INFO - Iter [77550/160000] lr: 5.153e-05, eta: 11:32:28, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2291, decode.loss_mask: 0.4830, decode.loss_dice: 0.7236, decode.d0.loss_cls: 1.2405, decode.d0.loss_mask: 0.5181, decode.d0.loss_dice: 0.7846, decode.d1.loss_cls: 0.3040, decode.d1.loss_mask: 0.5030, decode.d1.loss_dice: 0.7628, decode.d2.loss_cls: 0.2647, decode.d2.loss_mask: 0.4922, decode.d2.loss_dice: 0.7380, decode.d3.loss_cls: 0.2431, decode.d3.loss_mask: 0.4886, decode.d3.loss_dice: 0.7276, decode.d4.loss_cls: 0.2417, decode.d4.loss_mask: 0.4870, decode.d4.loss_dice: 0.7277, decode.d5.loss_cls: 0.2337, decode.d5.loss_mask: 0.4857, decode.d5.loss_dice: 0.7304, decode.d6.loss_cls: 0.2336, decode.d6.loss_mask: 0.4831, decode.d6.loss_dice: 0.7186, decode.d7.loss_cls: 0.2288, decode.d7.loss_mask: 0.4846, decode.d7.loss_dice: 0.7195, decode.d8.loss_cls: 0.2246, decode.d8.loss_mask: 0.4850, decode.d8.loss_dice: 0.7240, loss: 15.7110, grad_norm: 51.8567 2023-11-12 09:37:02,692 - mmseg - INFO - Iter [77600/160000] lr: 5.150e-05, eta: 11:32:02, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2400, decode.loss_mask: 0.4589, decode.loss_dice: 0.7248, decode.d0.loss_cls: 1.2513, decode.d0.loss_mask: 0.4958, decode.d0.loss_dice: 0.7867, decode.d1.loss_cls: 0.3173, decode.d1.loss_mask: 0.4750, decode.d1.loss_dice: 0.7647, decode.d2.loss_cls: 0.2751, decode.d2.loss_mask: 0.4650, decode.d2.loss_dice: 0.7482, decode.d3.loss_cls: 0.2590, decode.d3.loss_mask: 0.4639, decode.d3.loss_dice: 0.7338, decode.d4.loss_cls: 0.2478, decode.d4.loss_mask: 0.4634, decode.d4.loss_dice: 0.7357, decode.d5.loss_cls: 0.2471, decode.d5.loss_mask: 0.4605, decode.d5.loss_dice: 0.7348, decode.d6.loss_cls: 0.2457, decode.d6.loss_mask: 0.4588, decode.d6.loss_dice: 0.7261, decode.d7.loss_cls: 0.2382, decode.d7.loss_mask: 0.4597, decode.d7.loss_dice: 0.7290, decode.d8.loss_cls: 0.2394, decode.d8.loss_mask: 0.4587, decode.d8.loss_dice: 0.7300, loss: 15.6345, grad_norm: 43.9072 2023-11-12 09:37:26,373 - mmseg - INFO - Iter [77650/160000] lr: 5.147e-05, eta: 11:31:35, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2269, decode.loss_mask: 0.4797, decode.loss_dice: 0.7261, decode.d0.loss_cls: 1.2171, decode.d0.loss_mask: 0.5158, decode.d0.loss_dice: 0.8030, decode.d1.loss_cls: 0.2932, decode.d1.loss_mask: 0.4988, decode.d1.loss_dice: 0.7652, decode.d2.loss_cls: 0.2556, decode.d2.loss_mask: 0.4895, decode.d2.loss_dice: 0.7425, decode.d3.loss_cls: 0.2449, decode.d3.loss_mask: 0.4844, decode.d3.loss_dice: 0.7331, decode.d4.loss_cls: 0.2303, decode.d4.loss_mask: 0.4837, decode.d4.loss_dice: 0.7353, decode.d5.loss_cls: 0.2350, decode.d5.loss_mask: 0.4806, decode.d5.loss_dice: 0.7358, decode.d6.loss_cls: 0.2306, decode.d6.loss_mask: 0.4825, decode.d6.loss_dice: 0.7299, decode.d7.loss_cls: 0.2283, decode.d7.loss_mask: 0.4819, decode.d7.loss_dice: 0.7289, decode.d8.loss_cls: 0.2297, decode.d8.loss_mask: 0.4803, decode.d8.loss_dice: 0.7274, loss: 15.6963, grad_norm: 45.2794 2023-11-12 09:37:50,142 - mmseg - INFO - Iter [77700/160000] lr: 5.144e-05, eta: 11:31:08, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2287, decode.loss_mask: 0.4968, decode.loss_dice: 0.7207, decode.d0.loss_cls: 1.2127, decode.d0.loss_mask: 0.5347, decode.d0.loss_dice: 0.7898, decode.d1.loss_cls: 0.3072, decode.d1.loss_mask: 0.5136, decode.d1.loss_dice: 0.7544, decode.d2.loss_cls: 0.2692, decode.d2.loss_mask: 0.5038, decode.d2.loss_dice: 0.7386, decode.d3.loss_cls: 0.2472, decode.d3.loss_mask: 0.4993, decode.d3.loss_dice: 0.7218, decode.d4.loss_cls: 0.2426, decode.d4.loss_mask: 0.4990, decode.d4.loss_dice: 0.7217, decode.d5.loss_cls: 0.2354, decode.d5.loss_mask: 0.4968, decode.d5.loss_dice: 0.7203, decode.d6.loss_cls: 0.2336, decode.d6.loss_mask: 0.4958, decode.d6.loss_dice: 0.7173, decode.d7.loss_cls: 0.2266, decode.d7.loss_mask: 0.4968, decode.d7.loss_dice: 0.7218, decode.d8.loss_cls: 0.2266, decode.d8.loss_mask: 0.4986, decode.d8.loss_dice: 0.7194, loss: 15.7911, grad_norm: 48.0101 2023-11-12 09:38:14,118 - mmseg - INFO - Iter [77750/160000] lr: 5.141e-05, eta: 11:30:42, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2598, decode.loss_mask: 0.5096, decode.loss_dice: 0.7593, decode.d0.loss_cls: 1.2434, decode.d0.loss_mask: 0.5516, decode.d0.loss_dice: 0.8269, decode.d1.loss_cls: 0.3295, decode.d1.loss_mask: 0.5271, decode.d1.loss_dice: 0.7926, decode.d2.loss_cls: 0.3008, decode.d2.loss_mask: 0.5152, decode.d2.loss_dice: 0.7707, decode.d3.loss_cls: 0.2819, decode.d3.loss_mask: 0.5094, decode.d3.loss_dice: 0.7595, decode.d4.loss_cls: 0.2794, decode.d4.loss_mask: 0.5085, decode.d4.loss_dice: 0.7536, decode.d5.loss_cls: 0.2692, decode.d5.loss_mask: 0.5093, decode.d5.loss_dice: 0.7565, decode.d6.loss_cls: 0.2678, decode.d6.loss_mask: 0.5100, decode.d6.loss_dice: 0.7589, decode.d7.loss_cls: 0.2630, decode.d7.loss_mask: 0.5080, decode.d7.loss_dice: 0.7534, decode.d8.loss_cls: 0.2571, decode.d8.loss_mask: 0.5111, decode.d8.loss_dice: 0.7541, loss: 16.5972, grad_norm: 48.6233 2023-11-12 09:38:38,112 - mmseg - INFO - Iter [77800/160000] lr: 5.138e-05, eta: 11:30:15, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2377, decode.loss_mask: 0.4784, decode.loss_dice: 0.7430, decode.d0.loss_cls: 1.2457, decode.d0.loss_mask: 0.5134, decode.d0.loss_dice: 0.8142, decode.d1.loss_cls: 0.3213, decode.d1.loss_mask: 0.4904, decode.d1.loss_dice: 0.7870, decode.d2.loss_cls: 0.2794, decode.d2.loss_mask: 0.4830, decode.d2.loss_dice: 0.7653, decode.d3.loss_cls: 0.2571, decode.d3.loss_mask: 0.4802, decode.d3.loss_dice: 0.7468, decode.d4.loss_cls: 0.2517, decode.d4.loss_mask: 0.4791, decode.d4.loss_dice: 0.7454, decode.d5.loss_cls: 0.2374, decode.d5.loss_mask: 0.4795, decode.d5.loss_dice: 0.7456, decode.d6.loss_cls: 0.2416, decode.d6.loss_mask: 0.4802, decode.d6.loss_dice: 0.7436, decode.d7.loss_cls: 0.2374, decode.d7.loss_mask: 0.4823, decode.d7.loss_dice: 0.7470, decode.d8.loss_cls: 0.2360, decode.d8.loss_mask: 0.4802, decode.d8.loss_dice: 0.7450, loss: 15.9748, grad_norm: 41.9394 2023-11-12 09:39:02,095 - mmseg - INFO - Iter [77850/160000] lr: 5.134e-05, eta: 11:29:49, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2151, decode.loss_mask: 0.4661, decode.loss_dice: 0.7137, decode.d0.loss_cls: 1.2068, decode.d0.loss_mask: 0.5005, decode.d0.loss_dice: 0.7760, decode.d1.loss_cls: 0.2924, decode.d1.loss_mask: 0.4793, decode.d1.loss_dice: 0.7464, decode.d2.loss_cls: 0.2568, decode.d2.loss_mask: 0.4720, decode.d2.loss_dice: 0.7312, decode.d3.loss_cls: 0.2456, decode.d3.loss_mask: 0.4675, decode.d3.loss_dice: 0.7239, decode.d4.loss_cls: 0.2314, decode.d4.loss_mask: 0.4680, decode.d4.loss_dice: 0.7169, decode.d5.loss_cls: 0.2273, decode.d5.loss_mask: 0.4649, decode.d5.loss_dice: 0.7129, decode.d6.loss_cls: 0.2210, decode.d6.loss_mask: 0.4667, decode.d6.loss_dice: 0.7121, decode.d7.loss_cls: 0.2228, decode.d7.loss_mask: 0.4643, decode.d7.loss_dice: 0.7133, decode.d8.loss_cls: 0.2212, decode.d8.loss_mask: 0.4646, decode.d8.loss_dice: 0.7112, loss: 15.3119, grad_norm: 44.4679 2023-11-12 09:39:26,089 - mmseg - INFO - Iter [77900/160000] lr: 5.131e-05, eta: 11:29:22, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2511, decode.loss_mask: 0.4864, decode.loss_dice: 0.7325, decode.d0.loss_cls: 1.2408, decode.d0.loss_mask: 0.5226, decode.d0.loss_dice: 0.8012, decode.d1.loss_cls: 0.3312, decode.d1.loss_mask: 0.5009, decode.d1.loss_dice: 0.7734, decode.d2.loss_cls: 0.2908, decode.d2.loss_mask: 0.4923, decode.d2.loss_dice: 0.7547, decode.d3.loss_cls: 0.2688, decode.d3.loss_mask: 0.4891, decode.d3.loss_dice: 0.7436, decode.d4.loss_cls: 0.2587, decode.d4.loss_mask: 0.4894, decode.d4.loss_dice: 0.7423, decode.d5.loss_cls: 0.2568, decode.d5.loss_mask: 0.4887, decode.d5.loss_dice: 0.7426, decode.d6.loss_cls: 0.2507, decode.d6.loss_mask: 0.4868, decode.d6.loss_dice: 0.7365, decode.d7.loss_cls: 0.2468, decode.d7.loss_mask: 0.4865, decode.d7.loss_dice: 0.7384, decode.d8.loss_cls: 0.2485, decode.d8.loss_mask: 0.4864, decode.d8.loss_dice: 0.7373, loss: 16.0757, grad_norm: 48.3429 2023-11-12 09:39:50,052 - mmseg - INFO - Iter [77950/160000] lr: 5.128e-05, eta: 11:28:56, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2236, decode.loss_mask: 0.5010, decode.loss_dice: 0.7329, decode.d0.loss_cls: 1.2437, decode.d0.loss_mask: 0.5342, decode.d0.loss_dice: 0.7985, decode.d1.loss_cls: 0.3061, decode.d1.loss_mask: 0.5229, decode.d1.loss_dice: 0.7698, decode.d2.loss_cls: 0.2636, decode.d2.loss_mask: 0.5103, decode.d2.loss_dice: 0.7469, decode.d3.loss_cls: 0.2496, decode.d3.loss_mask: 0.5031, decode.d3.loss_dice: 0.7366, decode.d4.loss_cls: 0.2405, decode.d4.loss_mask: 0.5018, decode.d4.loss_dice: 0.7314, decode.d5.loss_cls: 0.2364, decode.d5.loss_mask: 0.5004, decode.d5.loss_dice: 0.7323, decode.d6.loss_cls: 0.2279, decode.d6.loss_mask: 0.5007, decode.d6.loss_dice: 0.7327, decode.d7.loss_cls: 0.2283, decode.d7.loss_mask: 0.5001, decode.d7.loss_dice: 0.7310, decode.d8.loss_cls: 0.2238, decode.d8.loss_mask: 0.4997, decode.d8.loss_dice: 0.7356, loss: 15.9655, grad_norm: 46.8604 2023-11-12 09:40:13,941 - mmseg - INFO - Saving checkpoint at 78000 iterations 2023-11-12 09:40:17,921 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 09:40:17,921 - mmseg - INFO - Iter [78000/160000] lr: 5.125e-05, eta: 11:28:33, time: 0.557, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2473, decode.loss_mask: 0.4796, decode.loss_dice: 0.7146, decode.d0.loss_cls: 1.2369, decode.d0.loss_mask: 0.5152, decode.d0.loss_dice: 0.7753, decode.d1.loss_cls: 0.3225, decode.d1.loss_mask: 0.4937, decode.d1.loss_dice: 0.7453, decode.d2.loss_cls: 0.2838, decode.d2.loss_mask: 0.4891, decode.d2.loss_dice: 0.7323, decode.d3.loss_cls: 0.2679, decode.d3.loss_mask: 0.4823, decode.d3.loss_dice: 0.7133, decode.d4.loss_cls: 0.2573, decode.d4.loss_mask: 0.4829, decode.d4.loss_dice: 0.7137, decode.d5.loss_cls: 0.2489, decode.d5.loss_mask: 0.4840, decode.d5.loss_dice: 0.7133, decode.d6.loss_cls: 0.2558, decode.d6.loss_mask: 0.4819, decode.d6.loss_dice: 0.7107, decode.d7.loss_cls: 0.2554, decode.d7.loss_mask: 0.4821, decode.d7.loss_dice: 0.7094, decode.d8.loss_cls: 0.2496, decode.d8.loss_mask: 0.4826, decode.d8.loss_dice: 0.7136, loss: 15.7404, grad_norm: 49.0538 2023-11-12 09:40:37,265 - mmseg - INFO - per class results: 2023-11-12 09:40:37,270 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.11 | 86.71 | | building | 83.3 | 91.51 | | sky | 94.61 | 97.21 | | floor | 83.69 | 90.07 | | tree | 75.16 | 87.87 | | ceiling | 84.84 | 91.13 | | road | 85.0 | 90.63 | | bed | 91.4 | 96.83 | | windowpane | 64.72 | 79.11 | | grass | 67.48 | 79.77 | | cabinet | 62.54 | 73.87 | | sidewalk | 65.3 | 81.33 | | person | 85.28 | 93.25 | | earth | 36.5 | 51.48 | | door | 52.13 | 72.08 | | table | 67.4 | 83.04 | | mountain | 64.43 | 79.58 | | plant | 54.26 | 69.05 | | curtain | 76.99 | 86.8 | | chair | 61.65 | 76.08 | | car | 85.51 | 91.84 | | water | 52.69 | 61.85 | | painting | 76.17 | 90.59 | | sofa | 69.96 | 82.18 | | shelf | 41.63 | 59.45 | | house | 47.35 | 73.86 | | sea | 65.32 | 90.37 | | mirror | 69.03 | 82.32 | | rug | 63.48 | 74.99 | | field | 26.43 | 46.43 | | armchair | 50.33 | 70.01 | | seat | 62.67 | 86.48 | | fence | 51.75 | 69.62 | | desk | 56.08 | 77.36 | | rock | 47.95 | 66.65 | | wardrobe | 44.84 | 75.34 | | lamp | 71.33 | 84.38 | | bathtub | 83.71 | 92.45 | | railing | 29.75 | 55.15 | | cushion | 63.92 | 76.91 | | base | 35.64 | 59.69 | | box | 28.62 | 43.17 | | column | 47.19 | 67.02 | | signboard | 37.13 | 55.95 | | chest of drawers | 50.32 | 73.65 | | counter | 21.82 | 29.55 | | sand | 35.02 | 55.48 | | sink | 74.65 | 81.57 | | skyscraper | 37.41 | 47.2 | | fireplace | 68.81 | 90.68 | | refrigerator | 74.7 | 82.54 | | grandstand | 39.39 | 69.39 | | path | 20.17 | 27.33 | | stairs | 29.88 | 41.0 | | runway | 77.15 | 92.13 | | case | 53.11 | 62.0 | | pool table | 94.89 | 97.43 | | pillow | 59.99 | 70.66 | | screen door | 60.8 | 64.68 | | stairway | 27.69 | 41.03 | | river | 19.84 | 43.15 | | bridge | 76.12 | 85.6 | | bookcase | 36.62 | 63.6 | | blind | 45.46 | 55.06 | | coffee table | 65.03 | 85.83 | | toilet | 87.53 | 91.69 | | flower | 47.2 | 62.42 | | book | 51.94 | 72.51 | | hill | 6.39 | 14.96 | | bench | 50.45 | 58.6 | | countertop | 48.11 | 70.09 | | stove | 79.69 | 84.55 | | palm | 53.08 | 71.79 | | kitchen island | 61.14 | 87.27 | | computer | 71.71 | 77.45 | | swivel chair | 37.67 | 57.24 | | boat | 45.61 | 55.85 | | bar | 33.75 | 40.78 | | arcade machine | 87.7 | 95.28 | | hovel | 28.36 | 41.42 | | bus | 93.18 | 96.27 | | towel | 73.23 | 83.51 | | light | 61.32 | 80.42 | | truck | 31.35 | 59.39 | | tower | 42.67 | 72.2 | | chandelier | 73.01 | 88.11 | | awning | 38.49 | 46.14 | | streetlight | 40.66 | 65.18 | | booth | 24.35 | 39.82 | | television receiver | 73.21 | 81.11 | | airplane | 67.39 | 75.49 | | dirt track | 3.46 | 19.69 | | apparel | 26.51 | 47.22 | | pole | 30.5 | 46.9 | | land | 7.34 | 9.26 | | bannister | 20.01 | 31.47 | | escalator | 42.83 | 53.51 | | ottoman | 53.79 | 72.1 | | bottle | 30.52 | 37.66 | | buffet | 48.51 | 53.98 | | poster | 26.88 | 39.83 | | stage | 16.76 | 32.47 | | van | 47.25 | 66.11 | | ship | 7.45 | 10.68 | | fountain | 18.45 | 21.92 | | conveyer belt | 46.96 | 67.78 | | canopy | 20.76 | 37.43 | | washer | 71.63 | 73.5 | | plaything | 46.31 | 67.18 | | swimming pool | 63.4 | 68.57 | | stool | 54.09 | 70.71 | | barrel | 89.43 | 98.24 | | basket | 48.7 | 64.11 | | waterfall | 66.68 | 91.97 | | tent | 80.04 | 98.18 | | bag | 22.33 | 27.99 | | minibike | 72.65 | 92.61 | | cradle | 85.99 | 97.78 | | oven | 27.77 | 80.16 | | ball | 51.17 | 66.07 | | food | 63.39 | 80.59 | | step | 19.52 | 31.18 | | tank | 60.94 | 65.94 | | trade name | 33.08 | 45.31 | | microwave | 43.03 | 45.88 | | pot | 50.77 | 58.45 | | animal | 62.63 | 65.93 | | bicycle | 58.7 | 74.43 | | lake | 39.27 | 63.2 | | dishwasher | 74.46 | 79.17 | | screen | 61.76 | 88.44 | | blanket | 21.49 | 28.24 | | sculpture | 61.49 | 89.09 | | hood | 76.99 | 92.53 | | sconce | 54.02 | 71.92 | | vase | 46.3 | 73.11 | | traffic light | 42.04 | 70.87 | | tray | 20.67 | 34.67 | | ashcan | 53.03 | 67.26 | | fan | 68.27 | 85.83 | | pier | 13.93 | 18.74 | | crt screen | 4.5 | 12.89 | | plate | 61.79 | 73.34 | | monitor | 9.84 | 15.46 | | bulletin board | 45.69 | 83.96 | | shower | 22.66 | 67.11 | | radiator | 68.87 | 81.44 | | glass | 20.46 | 22.23 | | clock | 43.04 | 71.19 | | flag | 46.25 | 52.06 | +---------------------+-------+-------+ 2023-11-12 09:40:37,270 - mmseg - INFO - Summary: 2023-11-12 09:40:37,270 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 83.79 | 52.0 | 66.51 | +-------+------+-------+ 2023-11-12 09:40:37,271 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 09:40:37,271 - mmseg - INFO - Iter(val) [250] aAcc: 0.8379, mIoU: 0.5200, mAcc: 0.6651, IoU.wall: 0.7911, IoU.building: 0.8330, IoU.sky: 0.9461, IoU.floor: 0.8369, IoU.tree: 0.7516, IoU.ceiling: 0.8484, IoU.road: 0.8500, IoU.bed : 0.9140, IoU.windowpane: 0.6472, IoU.grass: 0.6748, IoU.cabinet: 0.6254, IoU.sidewalk: 0.6530, IoU.person: 0.8528, IoU.earth: 0.3650, IoU.door: 0.5213, IoU.table: 0.6740, IoU.mountain: 0.6443, IoU.plant: 0.5426, IoU.curtain: 0.7699, IoU.chair: 0.6165, IoU.car: 0.8551, IoU.water: 0.5269, IoU.painting: 0.7617, IoU.sofa: 0.6996, IoU.shelf: 0.4163, IoU.house: 0.4735, IoU.sea: 0.6532, IoU.mirror: 0.6903, IoU.rug: 0.6348, IoU.field: 0.2643, IoU.armchair: 0.5033, IoU.seat: 0.6267, IoU.fence: 0.5175, IoU.desk: 0.5608, IoU.rock: 0.4795, IoU.wardrobe: 0.4484, IoU.lamp: 0.7133, IoU.bathtub: 0.8371, IoU.railing: 0.2975, IoU.cushion: 0.6392, IoU.base: 0.3564, IoU.box: 0.2862, IoU.column: 0.4719, IoU.signboard: 0.3713, IoU.chest of drawers: 0.5032, IoU.counter: 0.2182, IoU.sand: 0.3502, IoU.sink: 0.7465, IoU.skyscraper: 0.3741, IoU.fireplace: 0.6881, IoU.refrigerator: 0.7470, IoU.grandstand: 0.3939, IoU.path: 0.2017, IoU.stairs: 0.2988, IoU.runway: 0.7715, IoU.case: 0.5311, IoU.pool table: 0.9489, IoU.pillow: 0.5999, IoU.screen door: 0.6080, IoU.stairway: 0.2769, IoU.river: 0.1984, IoU.bridge: 0.7612, IoU.bookcase: 0.3662, IoU.blind: 0.4546, IoU.coffee table: 0.6503, IoU.toilet: 0.8753, IoU.flower: 0.4720, IoU.book: 0.5194, IoU.hill: 0.0639, IoU.bench: 0.5045, IoU.countertop: 0.4811, IoU.stove: 0.7969, IoU.palm: 0.5308, IoU.kitchen island: 0.6114, IoU.computer: 0.7171, IoU.swivel chair: 0.3767, IoU.boat: 0.4561, IoU.bar: 0.3375, IoU.arcade machine: 0.8770, IoU.hovel: 0.2836, IoU.bus: 0.9318, IoU.towel: 0.7323, IoU.light: 0.6132, IoU.truck: 0.3135, IoU.tower: 0.4267, IoU.chandelier: 0.7301, IoU.awning: 0.3849, IoU.streetlight: 0.4066, IoU.booth: 0.2435, IoU.television receiver: 0.7321, IoU.airplane: 0.6739, IoU.dirt track: 0.0346, IoU.apparel: 0.2651, IoU.pole: 0.3050, IoU.land: 0.0734, IoU.bannister: 0.2001, IoU.escalator: 0.4283, IoU.ottoman: 0.5379, IoU.bottle: 0.3052, IoU.buffet: 0.4851, IoU.poster: 0.2688, IoU.stage: 0.1676, IoU.van: 0.4725, IoU.ship: 0.0745, IoU.fountain: 0.1845, IoU.conveyer belt: 0.4696, IoU.canopy: 0.2076, IoU.washer: 0.7163, IoU.plaything: 0.4631, IoU.swimming pool: 0.6340, IoU.stool: 0.5409, IoU.barrel: 0.8943, IoU.basket: 0.4870, IoU.waterfall: 0.6668, IoU.tent: 0.8004, IoU.bag: 0.2233, IoU.minibike: 0.7265, IoU.cradle: 0.8599, IoU.oven: 0.2777, IoU.ball: 0.5117, IoU.food: 0.6339, IoU.step: 0.1952, IoU.tank: 0.6094, IoU.trade name: 0.3308, IoU.microwave: 0.4303, IoU.pot: 0.5077, IoU.animal: 0.6263, IoU.bicycle: 0.5870, IoU.lake: 0.3927, IoU.dishwasher: 0.7446, IoU.screen: 0.6176, IoU.blanket: 0.2149, IoU.sculpture: 0.6149, IoU.hood: 0.7699, IoU.sconce: 0.5402, IoU.vase: 0.4630, IoU.traffic light: 0.4204, IoU.tray: 0.2067, IoU.ashcan: 0.5303, IoU.fan: 0.6827, IoU.pier: 0.1393, IoU.crt screen: 0.0450, IoU.plate: 0.6179, IoU.monitor: 0.0984, IoU.bulletin board: 0.4569, IoU.shower: 0.2266, IoU.radiator: 0.6887, IoU.glass: 0.2046, IoU.clock: 0.4304, IoU.flag: 0.4625, Acc.wall: 0.8671, Acc.building: 0.9151, Acc.sky: 0.9721, Acc.floor: 0.9007, Acc.tree: 0.8787, Acc.ceiling: 0.9113, Acc.road: 0.9063, Acc.bed : 0.9683, Acc.windowpane: 0.7911, Acc.grass: 0.7977, Acc.cabinet: 0.7387, Acc.sidewalk: 0.8133, Acc.person: 0.9325, Acc.earth: 0.5148, Acc.door: 0.7208, Acc.table: 0.8304, Acc.mountain: 0.7958, Acc.plant: 0.6905, Acc.curtain: 0.8680, Acc.chair: 0.7608, Acc.car: 0.9184, Acc.water: 0.6185, Acc.painting: 0.9059, Acc.sofa: 0.8218, Acc.shelf: 0.5945, Acc.house: 0.7386, Acc.sea: 0.9037, Acc.mirror: 0.8232, Acc.rug: 0.7499, Acc.field: 0.4643, Acc.armchair: 0.7001, Acc.seat: 0.8648, Acc.fence: 0.6962, Acc.desk: 0.7736, Acc.rock: 0.6665, Acc.wardrobe: 0.7534, Acc.lamp: 0.8438, Acc.bathtub: 0.9245, Acc.railing: 0.5515, Acc.cushion: 0.7691, Acc.base: 0.5969, Acc.box: 0.4317, Acc.column: 0.6702, Acc.signboard: 0.5595, Acc.chest of drawers: 0.7365, Acc.counter: 0.2955, Acc.sand: 0.5548, Acc.sink: 0.8157, Acc.skyscraper: 0.4720, Acc.fireplace: 0.9068, Acc.refrigerator: 0.8254, Acc.grandstand: 0.6939, Acc.path: 0.2733, Acc.stairs: 0.4100, Acc.runway: 0.9213, Acc.case: 0.6200, Acc.pool table: 0.9743, Acc.pillow: 0.7066, Acc.screen door: 0.6468, Acc.stairway: 0.4103, Acc.river: 0.4315, Acc.bridge: 0.8560, Acc.bookcase: 0.6360, Acc.blind: 0.5506, Acc.coffee table: 0.8583, Acc.toilet: 0.9169, Acc.flower: 0.6242, Acc.book: 0.7251, Acc.hill: 0.1496, Acc.bench: 0.5860, Acc.countertop: 0.7009, Acc.stove: 0.8455, Acc.palm: 0.7179, Acc.kitchen island: 0.8727, Acc.computer: 0.7745, Acc.swivel chair: 0.5724, Acc.boat: 0.5585, Acc.bar: 0.4078, Acc.arcade machine: 0.9528, Acc.hovel: 0.4142, Acc.bus: 0.9627, Acc.towel: 0.8351, Acc.light: 0.8042, Acc.truck: 0.5939, Acc.tower: 0.7220, Acc.chandelier: 0.8811, Acc.awning: 0.4614, Acc.streetlight: 0.6518, Acc.booth: 0.3982, Acc.television receiver: 0.8111, Acc.airplane: 0.7549, Acc.dirt track: 0.1969, Acc.apparel: 0.4722, Acc.pole: 0.4690, Acc.land: 0.0926, Acc.bannister: 0.3147, Acc.escalator: 0.5351, Acc.ottoman: 0.7210, Acc.bottle: 0.3766, Acc.buffet: 0.5398, Acc.poster: 0.3983, Acc.stage: 0.3247, Acc.van: 0.6611, Acc.ship: 0.1068, Acc.fountain: 0.2192, Acc.conveyer belt: 0.6778, Acc.canopy: 0.3743, Acc.washer: 0.7350, Acc.plaything: 0.6718, Acc.swimming pool: 0.6857, Acc.stool: 0.7071, Acc.barrel: 0.9824, Acc.basket: 0.6411, Acc.waterfall: 0.9197, Acc.tent: 0.9818, Acc.bag: 0.2799, Acc.minibike: 0.9261, Acc.cradle: 0.9778, Acc.oven: 0.8016, Acc.ball: 0.6607, Acc.food: 0.8059, Acc.step: 0.3118, Acc.tank: 0.6594, Acc.trade name: 0.4531, Acc.microwave: 0.4588, Acc.pot: 0.5845, Acc.animal: 0.6593, Acc.bicycle: 0.7443, Acc.lake: 0.6320, Acc.dishwasher: 0.7917, Acc.screen: 0.8844, Acc.blanket: 0.2824, Acc.sculpture: 0.8909, Acc.hood: 0.9253, Acc.sconce: 0.7192, Acc.vase: 0.7311, Acc.traffic light: 0.7087, Acc.tray: 0.3467, Acc.ashcan: 0.6726, Acc.fan: 0.8583, Acc.pier: 0.1874, Acc.crt screen: 0.1289, Acc.plate: 0.7334, Acc.monitor: 0.1546, Acc.bulletin board: 0.8396, Acc.shower: 0.6711, Acc.radiator: 0.8144, Acc.glass: 0.2223, Acc.clock: 0.7119, Acc.flag: 0.5206 2023-11-12 09:41:01,037 - mmseg - INFO - Iter [78050/160000] lr: 5.122e-05, eta: 11:28:27, time: 0.862, data_time: 0.399, memory: 41146, decode.loss_cls: 0.2477, decode.loss_mask: 0.4985, decode.loss_dice: 0.7433, decode.d0.loss_cls: 1.2580, decode.d0.loss_mask: 0.5343, decode.d0.loss_dice: 0.8150, decode.d1.loss_cls: 0.3279, decode.d1.loss_mask: 0.5107, decode.d1.loss_dice: 0.7861, decode.d2.loss_cls: 0.2823, decode.d2.loss_mask: 0.5044, decode.d2.loss_dice: 0.7617, decode.d3.loss_cls: 0.2650, decode.d3.loss_mask: 0.5013, decode.d3.loss_dice: 0.7452, decode.d4.loss_cls: 0.2585, decode.d4.loss_mask: 0.4998, decode.d4.loss_dice: 0.7449, decode.d5.loss_cls: 0.2491, decode.d5.loss_mask: 0.5017, decode.d5.loss_dice: 0.7448, decode.d6.loss_cls: 0.2455, decode.d6.loss_mask: 0.4991, decode.d6.loss_dice: 0.7408, decode.d7.loss_cls: 0.2455, decode.d7.loss_mask: 0.4989, decode.d7.loss_dice: 0.7438, decode.d8.loss_cls: 0.2465, decode.d8.loss_mask: 0.4998, decode.d8.loss_dice: 0.7420, loss: 16.2423, grad_norm: 49.0403 2023-11-12 09:41:24,883 - mmseg - INFO - Iter [78100/160000] lr: 5.119e-05, eta: 11:28:00, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2470, decode.loss_mask: 0.4780, decode.loss_dice: 0.7302, decode.d0.loss_cls: 1.2275, decode.d0.loss_mask: 0.5108, decode.d0.loss_dice: 0.7970, decode.d1.loss_cls: 0.3241, decode.d1.loss_mask: 0.4943, decode.d1.loss_dice: 0.7641, decode.d2.loss_cls: 0.2755, decode.d2.loss_mask: 0.4867, decode.d2.loss_dice: 0.7505, decode.d3.loss_cls: 0.2651, decode.d3.loss_mask: 0.4799, decode.d3.loss_dice: 0.7377, decode.d4.loss_cls: 0.2551, decode.d4.loss_mask: 0.4785, decode.d4.loss_dice: 0.7377, decode.d5.loss_cls: 0.2534, decode.d5.loss_mask: 0.4769, decode.d5.loss_dice: 0.7332, decode.d6.loss_cls: 0.2522, decode.d6.loss_mask: 0.4762, decode.d6.loss_dice: 0.7286, decode.d7.loss_cls: 0.2499, decode.d7.loss_mask: 0.4763, decode.d7.loss_dice: 0.7336, decode.d8.loss_cls: 0.2484, decode.d8.loss_mask: 0.4761, decode.d8.loss_dice: 0.7281, loss: 15.8726, grad_norm: 49.1536 2023-11-12 09:41:49,146 - mmseg - INFO - Iter [78150/160000] lr: 5.116e-05, eta: 11:27:34, time: 0.487, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2324, decode.loss_mask: 0.4919, decode.loss_dice: 0.7164, decode.d0.loss_cls: 1.2138, decode.d0.loss_mask: 0.5249, decode.d0.loss_dice: 0.7722, decode.d1.loss_cls: 0.3116, decode.d1.loss_mask: 0.5123, decode.d1.loss_dice: 0.7570, decode.d2.loss_cls: 0.2749, decode.d2.loss_mask: 0.5038, decode.d2.loss_dice: 0.7378, decode.d3.loss_cls: 0.2516, decode.d3.loss_mask: 0.4948, decode.d3.loss_dice: 0.7244, decode.d4.loss_cls: 0.2442, decode.d4.loss_mask: 0.4948, decode.d4.loss_dice: 0.7185, decode.d5.loss_cls: 0.2460, decode.d5.loss_mask: 0.4938, decode.d5.loss_dice: 0.7160, decode.d6.loss_cls: 0.2403, decode.d6.loss_mask: 0.4906, decode.d6.loss_dice: 0.7080, decode.d7.loss_cls: 0.2385, decode.d7.loss_mask: 0.4909, decode.d7.loss_dice: 0.7160, decode.d8.loss_cls: 0.2339, decode.d8.loss_mask: 0.4927, decode.d8.loss_dice: 0.7189, loss: 15.7630, grad_norm: 54.6579 2023-11-12 09:42:13,073 - mmseg - INFO - Iter [78200/160000] lr: 5.113e-05, eta: 11:27:08, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2419, decode.loss_mask: 0.4788, decode.loss_dice: 0.7205, decode.d0.loss_cls: 1.1993, decode.d0.loss_mask: 0.5200, decode.d0.loss_dice: 0.8016, decode.d1.loss_cls: 0.3007, decode.d1.loss_mask: 0.5042, decode.d1.loss_dice: 0.7668, decode.d2.loss_cls: 0.2709, decode.d2.loss_mask: 0.4910, decode.d2.loss_dice: 0.7498, decode.d3.loss_cls: 0.2558, decode.d3.loss_mask: 0.4818, decode.d3.loss_dice: 0.7346, decode.d4.loss_cls: 0.2520, decode.d4.loss_mask: 0.4807, decode.d4.loss_dice: 0.7255, decode.d5.loss_cls: 0.2491, decode.d5.loss_mask: 0.4789, decode.d5.loss_dice: 0.7260, decode.d6.loss_cls: 0.2439, decode.d6.loss_mask: 0.4783, decode.d6.loss_dice: 0.7216, decode.d7.loss_cls: 0.2401, decode.d7.loss_mask: 0.4790, decode.d7.loss_dice: 0.7239, decode.d8.loss_cls: 0.2455, decode.d8.loss_mask: 0.4776, decode.d8.loss_dice: 0.7218, loss: 15.7613, grad_norm: 46.9685 2023-11-12 09:42:37,104 - mmseg - INFO - Iter [78250/160000] lr: 5.109e-05, eta: 11:26:41, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2289, decode.loss_mask: 0.4891, decode.loss_dice: 0.7179, decode.d0.loss_cls: 1.2291, decode.d0.loss_mask: 0.5191, decode.d0.loss_dice: 0.7847, decode.d1.loss_cls: 0.2972, decode.d1.loss_mask: 0.5037, decode.d1.loss_dice: 0.7565, decode.d2.loss_cls: 0.2660, decode.d2.loss_mask: 0.4976, decode.d2.loss_dice: 0.7396, decode.d3.loss_cls: 0.2532, decode.d3.loss_mask: 0.4931, decode.d3.loss_dice: 0.7238, decode.d4.loss_cls: 0.2391, decode.d4.loss_mask: 0.4938, decode.d4.loss_dice: 0.7249, decode.d5.loss_cls: 0.2351, decode.d5.loss_mask: 0.4934, decode.d5.loss_dice: 0.7222, decode.d6.loss_cls: 0.2319, decode.d6.loss_mask: 0.4903, decode.d6.loss_dice: 0.7187, decode.d7.loss_cls: 0.2345, decode.d7.loss_mask: 0.4885, decode.d7.loss_dice: 0.7168, decode.d8.loss_cls: 0.2313, decode.d8.loss_mask: 0.4895, decode.d8.loss_dice: 0.7203, loss: 15.7301, grad_norm: 47.6750 2023-11-12 09:43:00,935 - mmseg - INFO - Iter [78300/160000] lr: 5.106e-05, eta: 11:26:15, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2456, decode.loss_mask: 0.4979, decode.loss_dice: 0.7333, decode.d0.loss_cls: 1.2546, decode.d0.loss_mask: 0.5332, decode.d0.loss_dice: 0.7913, decode.d1.loss_cls: 0.3119, decode.d1.loss_mask: 0.5148, decode.d1.loss_dice: 0.7688, decode.d2.loss_cls: 0.2818, decode.d2.loss_mask: 0.5031, decode.d2.loss_dice: 0.7549, decode.d3.loss_cls: 0.2713, decode.d3.loss_mask: 0.5008, decode.d3.loss_dice: 0.7404, decode.d4.loss_cls: 0.2579, decode.d4.loss_mask: 0.5007, decode.d4.loss_dice: 0.7395, decode.d5.loss_cls: 0.2560, decode.d5.loss_mask: 0.5002, decode.d5.loss_dice: 0.7358, decode.d6.loss_cls: 0.2477, decode.d6.loss_mask: 0.5009, decode.d6.loss_dice: 0.7390, decode.d7.loss_cls: 0.2440, decode.d7.loss_mask: 0.4996, decode.d7.loss_dice: 0.7349, decode.d8.loss_cls: 0.2476, decode.d8.loss_mask: 0.4981, decode.d8.loss_dice: 0.7358, loss: 16.1411, grad_norm: 49.7404 2023-11-12 09:43:27,111 - mmseg - INFO - Iter [78350/160000] lr: 5.103e-05, eta: 11:25:50, time: 0.524, data_time: 0.057, memory: 41146, decode.loss_cls: 0.2353, decode.loss_mask: 0.4945, decode.loss_dice: 0.7306, decode.d0.loss_cls: 1.2560, decode.d0.loss_mask: 0.5247, decode.d0.loss_dice: 0.7924, decode.d1.loss_cls: 0.3086, decode.d1.loss_mask: 0.5081, decode.d1.loss_dice: 0.7694, decode.d2.loss_cls: 0.2663, decode.d2.loss_mask: 0.4954, decode.d2.loss_dice: 0.7452, decode.d3.loss_cls: 0.2594, decode.d3.loss_mask: 0.4941, decode.d3.loss_dice: 0.7326, decode.d4.loss_cls: 0.2454, decode.d4.loss_mask: 0.4944, decode.d4.loss_dice: 0.7354, decode.d5.loss_cls: 0.2428, decode.d5.loss_mask: 0.4916, decode.d5.loss_dice: 0.7304, decode.d6.loss_cls: 0.2429, decode.d6.loss_mask: 0.4911, decode.d6.loss_dice: 0.7249, decode.d7.loss_cls: 0.2386, decode.d7.loss_mask: 0.4918, decode.d7.loss_dice: 0.7270, decode.d8.loss_cls: 0.2392, decode.d8.loss_mask: 0.4922, decode.d8.loss_dice: 0.7300, loss: 15.9303, grad_norm: 48.9061 2023-11-12 09:43:50,991 - mmseg - INFO - Iter [78400/160000] lr: 5.100e-05, eta: 11:25:24, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2492, decode.loss_mask: 0.4933, decode.loss_dice: 0.7213, decode.d0.loss_cls: 1.2297, decode.d0.loss_mask: 0.5231, decode.d0.loss_dice: 0.7840, decode.d1.loss_cls: 0.3095, decode.d1.loss_mask: 0.5076, decode.d1.loss_dice: 0.7574, decode.d2.loss_cls: 0.2894, decode.d2.loss_mask: 0.4993, decode.d2.loss_dice: 0.7414, decode.d3.loss_cls: 0.2674, decode.d3.loss_mask: 0.4936, decode.d3.loss_dice: 0.7285, decode.d4.loss_cls: 0.2624, decode.d4.loss_mask: 0.4941, decode.d4.loss_dice: 0.7234, decode.d5.loss_cls: 0.2562, decode.d5.loss_mask: 0.4944, decode.d5.loss_dice: 0.7227, decode.d6.loss_cls: 0.2508, decode.d6.loss_mask: 0.4929, decode.d6.loss_dice: 0.7215, decode.d7.loss_cls: 0.2530, decode.d7.loss_mask: 0.4923, decode.d7.loss_dice: 0.7179, decode.d8.loss_cls: 0.2515, decode.d8.loss_mask: 0.4931, decode.d8.loss_dice: 0.7207, loss: 15.9417, grad_norm: 47.2190 2023-11-12 09:44:14,867 - mmseg - INFO - Iter [78450/160000] lr: 5.097e-05, eta: 11:24:57, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2464, decode.loss_mask: 0.4742, decode.loss_dice: 0.7289, decode.d0.loss_cls: 1.2145, decode.d0.loss_mask: 0.5070, decode.d0.loss_dice: 0.7948, decode.d1.loss_cls: 0.3160, decode.d1.loss_mask: 0.4937, decode.d1.loss_dice: 0.7744, decode.d2.loss_cls: 0.2796, decode.d2.loss_mask: 0.4818, decode.d2.loss_dice: 0.7554, decode.d3.loss_cls: 0.2583, decode.d3.loss_mask: 0.4792, decode.d3.loss_dice: 0.7378, decode.d4.loss_cls: 0.2500, decode.d4.loss_mask: 0.4755, decode.d4.loss_dice: 0.7433, decode.d5.loss_cls: 0.2513, decode.d5.loss_mask: 0.4734, decode.d5.loss_dice: 0.7415, decode.d6.loss_cls: 0.2502, decode.d6.loss_mask: 0.4741, decode.d6.loss_dice: 0.7330, decode.d7.loss_cls: 0.2476, decode.d7.loss_mask: 0.4743, decode.d7.loss_dice: 0.7343, decode.d8.loss_cls: 0.2467, decode.d8.loss_mask: 0.4747, decode.d8.loss_dice: 0.7335, loss: 15.8453, grad_norm: 51.6078 2023-11-12 09:44:38,765 - mmseg - INFO - Iter [78500/160000] lr: 5.094e-05, eta: 11:24:31, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2369, decode.loss_mask: 0.4957, decode.loss_dice: 0.7289, decode.d0.loss_cls: 1.2219, decode.d0.loss_mask: 0.5297, decode.d0.loss_dice: 0.8009, decode.d1.loss_cls: 0.3228, decode.d1.loss_mask: 0.5111, decode.d1.loss_dice: 0.7687, decode.d2.loss_cls: 0.2760, decode.d2.loss_mask: 0.5060, decode.d2.loss_dice: 0.7422, decode.d3.loss_cls: 0.2561, decode.d3.loss_mask: 0.4992, decode.d3.loss_dice: 0.7349, decode.d4.loss_cls: 0.2467, decode.d4.loss_mask: 0.4972, decode.d4.loss_dice: 0.7286, decode.d5.loss_cls: 0.2429, decode.d5.loss_mask: 0.4968, decode.d5.loss_dice: 0.7339, decode.d6.loss_cls: 0.2348, decode.d6.loss_mask: 0.4970, decode.d6.loss_dice: 0.7279, decode.d7.loss_cls: 0.2393, decode.d7.loss_mask: 0.4967, decode.d7.loss_dice: 0.7304, decode.d8.loss_cls: 0.2308, decode.d8.loss_mask: 0.4963, decode.d8.loss_dice: 0.7324, loss: 15.9630, grad_norm: 46.2473 2023-11-12 09:45:02,904 - mmseg - INFO - Iter [78550/160000] lr: 5.091e-05, eta: 11:24:05, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2302, decode.loss_mask: 0.4905, decode.loss_dice: 0.7412, decode.d0.loss_cls: 1.2146, decode.d0.loss_mask: 0.5233, decode.d0.loss_dice: 0.8042, decode.d1.loss_cls: 0.3068, decode.d1.loss_mask: 0.5007, decode.d1.loss_dice: 0.7744, decode.d2.loss_cls: 0.2615, decode.d2.loss_mask: 0.4951, decode.d2.loss_dice: 0.7630, decode.d3.loss_cls: 0.2516, decode.d3.loss_mask: 0.4895, decode.d3.loss_dice: 0.7473, decode.d4.loss_cls: 0.2388, decode.d4.loss_mask: 0.4877, decode.d4.loss_dice: 0.7457, decode.d5.loss_cls: 0.2383, decode.d5.loss_mask: 0.4912, decode.d5.loss_dice: 0.7467, decode.d6.loss_cls: 0.2368, decode.d6.loss_mask: 0.4902, decode.d6.loss_dice: 0.7411, decode.d7.loss_cls: 0.2300, decode.d7.loss_mask: 0.4909, decode.d7.loss_dice: 0.7421, decode.d8.loss_cls: 0.2294, decode.d8.loss_mask: 0.4906, decode.d8.loss_dice: 0.7447, loss: 15.9379, grad_norm: 48.1714 2023-11-12 09:45:26,928 - mmseg - INFO - Iter [78600/160000] lr: 5.088e-05, eta: 11:23:38, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2359, decode.loss_mask: 0.4885, decode.loss_dice: 0.7318, decode.d0.loss_cls: 1.2478, decode.d0.loss_mask: 0.5230, decode.d0.loss_dice: 0.8065, decode.d1.loss_cls: 0.3153, decode.d1.loss_mask: 0.5013, decode.d1.loss_dice: 0.7697, decode.d2.loss_cls: 0.2726, decode.d2.loss_mask: 0.4940, decode.d2.loss_dice: 0.7495, decode.d3.loss_cls: 0.2602, decode.d3.loss_mask: 0.4900, decode.d3.loss_dice: 0.7373, decode.d4.loss_cls: 0.2550, decode.d4.loss_mask: 0.4914, decode.d4.loss_dice: 0.7344, decode.d5.loss_cls: 0.2468, decode.d5.loss_mask: 0.4889, decode.d5.loss_dice: 0.7350, decode.d6.loss_cls: 0.2390, decode.d6.loss_mask: 0.4874, decode.d6.loss_dice: 0.7288, decode.d7.loss_cls: 0.2404, decode.d7.loss_mask: 0.4883, decode.d7.loss_dice: 0.7287, decode.d8.loss_cls: 0.2373, decode.d8.loss_mask: 0.4884, decode.d8.loss_dice: 0.7302, loss: 15.9434, grad_norm: 47.7356 2023-11-12 09:45:51,151 - mmseg - INFO - Iter [78650/160000] lr: 5.084e-05, eta: 11:23:12, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2265, decode.loss_mask: 0.4983, decode.loss_dice: 0.7353, decode.d0.loss_cls: 1.2127, decode.d0.loss_mask: 0.5355, decode.d0.loss_dice: 0.7977, decode.d1.loss_cls: 0.2974, decode.d1.loss_mask: 0.5129, decode.d1.loss_dice: 0.7684, decode.d2.loss_cls: 0.2610, decode.d2.loss_mask: 0.5060, decode.d2.loss_dice: 0.7515, decode.d3.loss_cls: 0.2494, decode.d3.loss_mask: 0.4989, decode.d3.loss_dice: 0.7423, decode.d4.loss_cls: 0.2367, decode.d4.loss_mask: 0.4982, decode.d4.loss_dice: 0.7395, decode.d5.loss_cls: 0.2374, decode.d5.loss_mask: 0.4969, decode.d5.loss_dice: 0.7406, decode.d6.loss_cls: 0.2342, decode.d6.loss_mask: 0.4962, decode.d6.loss_dice: 0.7330, decode.d7.loss_cls: 0.2245, decode.d7.loss_mask: 0.4956, decode.d7.loss_dice: 0.7335, decode.d8.loss_cls: 0.2286, decode.d8.loss_mask: 0.4984, decode.d8.loss_dice: 0.7376, loss: 15.9247, grad_norm: 51.0151 2023-11-12 09:46:15,226 - mmseg - INFO - Iter [78700/160000] lr: 5.081e-05, eta: 11:22:46, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2252, decode.loss_mask: 0.4715, decode.loss_dice: 0.7191, decode.d0.loss_cls: 1.2211, decode.d0.loss_mask: 0.4999, decode.d0.loss_dice: 0.7884, decode.d1.loss_cls: 0.3076, decode.d1.loss_mask: 0.4851, decode.d1.loss_dice: 0.7523, decode.d2.loss_cls: 0.2629, decode.d2.loss_mask: 0.4759, decode.d2.loss_dice: 0.7370, decode.d3.loss_cls: 0.2452, decode.d3.loss_mask: 0.4726, decode.d3.loss_dice: 0.7200, decode.d4.loss_cls: 0.2390, decode.d4.loss_mask: 0.4724, decode.d4.loss_dice: 0.7186, decode.d5.loss_cls: 0.2362, decode.d5.loss_mask: 0.4723, decode.d5.loss_dice: 0.7163, decode.d6.loss_cls: 0.2339, decode.d6.loss_mask: 0.4717, decode.d6.loss_dice: 0.7201, decode.d7.loss_cls: 0.2297, decode.d7.loss_mask: 0.4723, decode.d7.loss_dice: 0.7210, decode.d8.loss_cls: 0.2300, decode.d8.loss_mask: 0.4723, decode.d8.loss_dice: 0.7188, loss: 15.5084, grad_norm: 42.3626 2023-11-12 09:46:39,082 - mmseg - INFO - Iter [78750/160000] lr: 5.078e-05, eta: 11:22:19, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2451, decode.loss_mask: 0.4744, decode.loss_dice: 0.7161, decode.d0.loss_cls: 1.1987, decode.d0.loss_mask: 0.5084, decode.d0.loss_dice: 0.7799, decode.d1.loss_cls: 0.3167, decode.d1.loss_mask: 0.4907, decode.d1.loss_dice: 0.7492, decode.d2.loss_cls: 0.2800, decode.d2.loss_mask: 0.4827, decode.d2.loss_dice: 0.7367, decode.d3.loss_cls: 0.2647, decode.d3.loss_mask: 0.4772, decode.d3.loss_dice: 0.7164, decode.d4.loss_cls: 0.2598, decode.d4.loss_mask: 0.4760, decode.d4.loss_dice: 0.7202, decode.d5.loss_cls: 0.2554, decode.d5.loss_mask: 0.4759, decode.d5.loss_dice: 0.7160, decode.d6.loss_cls: 0.2539, decode.d6.loss_mask: 0.4742, decode.d6.loss_dice: 0.7084, decode.d7.loss_cls: 0.2463, decode.d7.loss_mask: 0.4757, decode.d7.loss_dice: 0.7114, decode.d8.loss_cls: 0.2474, decode.d8.loss_mask: 0.4761, decode.d8.loss_dice: 0.7160, loss: 15.6496, grad_norm: 47.0704 2023-11-12 09:47:02,930 - mmseg - INFO - Iter [78800/160000] lr: 5.075e-05, eta: 11:21:52, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2392, decode.loss_mask: 0.4941, decode.loss_dice: 0.7264, decode.d0.loss_cls: 1.2210, decode.d0.loss_mask: 0.5314, decode.d0.loss_dice: 0.7943, decode.d1.loss_cls: 0.3120, decode.d1.loss_mask: 0.5095, decode.d1.loss_dice: 0.7663, decode.d2.loss_cls: 0.2718, decode.d2.loss_mask: 0.5040, decode.d2.loss_dice: 0.7510, decode.d3.loss_cls: 0.2602, decode.d3.loss_mask: 0.4958, decode.d3.loss_dice: 0.7349, decode.d4.loss_cls: 0.2551, decode.d4.loss_mask: 0.4928, decode.d4.loss_dice: 0.7312, decode.d5.loss_cls: 0.2467, decode.d5.loss_mask: 0.4943, decode.d5.loss_dice: 0.7324, decode.d6.loss_cls: 0.2414, decode.d6.loss_mask: 0.4955, decode.d6.loss_dice: 0.7296, decode.d7.loss_cls: 0.2422, decode.d7.loss_mask: 0.4942, decode.d7.loss_dice: 0.7316, decode.d8.loss_cls: 0.2392, decode.d8.loss_mask: 0.4952, decode.d8.loss_dice: 0.7281, loss: 15.9615, grad_norm: 46.6266 2023-11-12 09:47:26,814 - mmseg - INFO - Iter [78850/160000] lr: 5.072e-05, eta: 11:21:26, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2378, decode.loss_mask: 0.4611, decode.loss_dice: 0.7154, decode.d0.loss_cls: 1.2303, decode.d0.loss_mask: 0.4896, decode.d0.loss_dice: 0.7863, decode.d1.loss_cls: 0.3080, decode.d1.loss_mask: 0.4775, decode.d1.loss_dice: 0.7561, decode.d2.loss_cls: 0.2792, decode.d2.loss_mask: 0.4629, decode.d2.loss_dice: 0.7363, decode.d3.loss_cls: 0.2571, decode.d3.loss_mask: 0.4614, decode.d3.loss_dice: 0.7182, decode.d4.loss_cls: 0.2545, decode.d4.loss_mask: 0.4605, decode.d4.loss_dice: 0.7152, decode.d5.loss_cls: 0.2428, decode.d5.loss_mask: 0.4614, decode.d5.loss_dice: 0.7231, decode.d6.loss_cls: 0.2407, decode.d6.loss_mask: 0.4623, decode.d6.loss_dice: 0.7175, decode.d7.loss_cls: 0.2372, decode.d7.loss_mask: 0.4607, decode.d7.loss_dice: 0.7163, decode.d8.loss_cls: 0.2356, decode.d8.loss_mask: 0.4599, decode.d8.loss_dice: 0.7135, loss: 15.4782, grad_norm: 46.6447 2023-11-12 09:47:50,681 - mmseg - INFO - Iter [78900/160000] lr: 5.069e-05, eta: 11:20:59, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2499, decode.loss_mask: 0.5006, decode.loss_dice: 0.7228, decode.d0.loss_cls: 1.2520, decode.d0.loss_mask: 0.5314, decode.d0.loss_dice: 0.7946, decode.d1.loss_cls: 0.3431, decode.d1.loss_mask: 0.5117, decode.d1.loss_dice: 0.7593, decode.d2.loss_cls: 0.2988, decode.d2.loss_mask: 0.5032, decode.d2.loss_dice: 0.7398, decode.d3.loss_cls: 0.2742, decode.d3.loss_mask: 0.4999, decode.d3.loss_dice: 0.7268, decode.d4.loss_cls: 0.2670, decode.d4.loss_mask: 0.4991, decode.d4.loss_dice: 0.7292, decode.d5.loss_cls: 0.2656, decode.d5.loss_mask: 0.4988, decode.d5.loss_dice: 0.7265, decode.d6.loss_cls: 0.2623, decode.d6.loss_mask: 0.4978, decode.d6.loss_dice: 0.7234, decode.d7.loss_cls: 0.2578, decode.d7.loss_mask: 0.4998, decode.d7.loss_dice: 0.7245, decode.d8.loss_cls: 0.2567, decode.d8.loss_mask: 0.4993, decode.d8.loss_dice: 0.7246, loss: 16.1405, grad_norm: 48.8607 2023-11-12 09:48:14,562 - mmseg - INFO - Iter [78950/160000] lr: 5.066e-05, eta: 11:20:33, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2295, decode.loss_mask: 0.4710, decode.loss_dice: 0.7083, decode.d0.loss_cls: 1.2094, decode.d0.loss_mask: 0.5097, decode.d0.loss_dice: 0.7684, decode.d1.loss_cls: 0.3170, decode.d1.loss_mask: 0.4855, decode.d1.loss_dice: 0.7381, decode.d2.loss_cls: 0.2701, decode.d2.loss_mask: 0.4786, decode.d2.loss_dice: 0.7192, decode.d3.loss_cls: 0.2536, decode.d3.loss_mask: 0.4744, decode.d3.loss_dice: 0.7079, decode.d4.loss_cls: 0.2422, decode.d4.loss_mask: 0.4736, decode.d4.loss_dice: 0.7086, decode.d5.loss_cls: 0.2407, decode.d5.loss_mask: 0.4728, decode.d5.loss_dice: 0.7092, decode.d6.loss_cls: 0.2402, decode.d6.loss_mask: 0.4719, decode.d6.loss_dice: 0.7039, decode.d7.loss_cls: 0.2353, decode.d7.loss_mask: 0.4723, decode.d7.loss_dice: 0.7034, decode.d8.loss_cls: 0.2336, decode.d8.loss_mask: 0.4721, decode.d8.loss_dice: 0.7064, loss: 15.4270, grad_norm: 47.4960 2023-11-12 09:48:38,619 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 09:48:38,619 - mmseg - INFO - Iter [79000/160000] lr: 5.063e-05, eta: 11:20:06, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2306, decode.loss_mask: 0.4868, decode.loss_dice: 0.7113, decode.d0.loss_cls: 1.2343, decode.d0.loss_mask: 0.5197, decode.d0.loss_dice: 0.7799, decode.d1.loss_cls: 0.3079, decode.d1.loss_mask: 0.4995, decode.d1.loss_dice: 0.7520, decode.d2.loss_cls: 0.2673, decode.d2.loss_mask: 0.4904, decode.d2.loss_dice: 0.7305, decode.d3.loss_cls: 0.2448, decode.d3.loss_mask: 0.4886, decode.d3.loss_dice: 0.7193, decode.d4.loss_cls: 0.2399, decode.d4.loss_mask: 0.4868, decode.d4.loss_dice: 0.7156, decode.d5.loss_cls: 0.2407, decode.d5.loss_mask: 0.4838, decode.d5.loss_dice: 0.7167, decode.d6.loss_cls: 0.2328, decode.d6.loss_mask: 0.4875, decode.d6.loss_dice: 0.7106, decode.d7.loss_cls: 0.2319, decode.d7.loss_mask: 0.4866, decode.d7.loss_dice: 0.7145, decode.d8.loss_cls: 0.2305, decode.d8.loss_mask: 0.4864, decode.d8.loss_dice: 0.7175, loss: 15.6449, grad_norm: 46.3267 2023-11-12 09:49:02,766 - mmseg - INFO - Iter [79050/160000] lr: 5.059e-05, eta: 11:19:40, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2361, decode.loss_mask: 0.4702, decode.loss_dice: 0.7035, decode.d0.loss_cls: 1.2464, decode.d0.loss_mask: 0.5029, decode.d0.loss_dice: 0.7733, decode.d1.loss_cls: 0.3198, decode.d1.loss_mask: 0.4859, decode.d1.loss_dice: 0.7428, decode.d2.loss_cls: 0.2771, decode.d2.loss_mask: 0.4771, decode.d2.loss_dice: 0.7209, decode.d3.loss_cls: 0.2537, decode.d3.loss_mask: 0.4733, decode.d3.loss_dice: 0.7029, decode.d4.loss_cls: 0.2509, decode.d4.loss_mask: 0.4705, decode.d4.loss_dice: 0.7021, decode.d5.loss_cls: 0.2451, decode.d5.loss_mask: 0.4705, decode.d5.loss_dice: 0.7066, decode.d6.loss_cls: 0.2379, decode.d6.loss_mask: 0.4713, decode.d6.loss_dice: 0.7017, decode.d7.loss_cls: 0.2401, decode.d7.loss_mask: 0.4725, decode.d7.loss_dice: 0.7029, decode.d8.loss_cls: 0.2365, decode.d8.loss_mask: 0.4701, decode.d8.loss_dice: 0.7061, loss: 15.4711, grad_norm: 45.4768 2023-11-12 09:49:26,615 - mmseg - INFO - Iter [79100/160000] lr: 5.056e-05, eta: 11:19:14, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2485, decode.loss_mask: 0.4786, decode.loss_dice: 0.7419, decode.d0.loss_cls: 1.2227, decode.d0.loss_mask: 0.5130, decode.d0.loss_dice: 0.7969, decode.d1.loss_cls: 0.3227, decode.d1.loss_mask: 0.4924, decode.d1.loss_dice: 0.7791, decode.d2.loss_cls: 0.2788, decode.d2.loss_mask: 0.4859, decode.d2.loss_dice: 0.7592, decode.d3.loss_cls: 0.2663, decode.d3.loss_mask: 0.4812, decode.d3.loss_dice: 0.7447, decode.d4.loss_cls: 0.2606, decode.d4.loss_mask: 0.4785, decode.d4.loss_dice: 0.7456, decode.d5.loss_cls: 0.2584, decode.d5.loss_mask: 0.4781, decode.d5.loss_dice: 0.7402, decode.d6.loss_cls: 0.2502, decode.d6.loss_mask: 0.4771, decode.d6.loss_dice: 0.7362, decode.d7.loss_cls: 0.2521, decode.d7.loss_mask: 0.4774, decode.d7.loss_dice: 0.7397, decode.d8.loss_cls: 0.2542, decode.d8.loss_mask: 0.4786, decode.d8.loss_dice: 0.7423, loss: 15.9812, grad_norm: 47.5844 2023-11-12 09:49:50,585 - mmseg - INFO - Iter [79150/160000] lr: 5.053e-05, eta: 11:18:47, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2789, decode.loss_mask: 0.4805, decode.loss_dice: 0.7358, decode.d0.loss_cls: 1.3062, decode.d0.loss_mask: 0.5141, decode.d0.loss_dice: 0.7964, decode.d1.loss_cls: 0.3574, decode.d1.loss_mask: 0.4931, decode.d1.loss_dice: 0.7717, decode.d2.loss_cls: 0.3184, decode.d2.loss_mask: 0.4831, decode.d2.loss_dice: 0.7533, decode.d3.loss_cls: 0.2897, decode.d3.loss_mask: 0.4805, decode.d3.loss_dice: 0.7404, decode.d4.loss_cls: 0.2857, decode.d4.loss_mask: 0.4824, decode.d4.loss_dice: 0.7370, decode.d5.loss_cls: 0.2835, decode.d5.loss_mask: 0.4819, decode.d5.loss_dice: 0.7387, decode.d6.loss_cls: 0.2802, decode.d6.loss_mask: 0.4822, decode.d6.loss_dice: 0.7373, decode.d7.loss_cls: 0.2772, decode.d7.loss_mask: 0.4816, decode.d7.loss_dice: 0.7379, decode.d8.loss_cls: 0.2817, decode.d8.loss_mask: 0.4812, decode.d8.loss_dice: 0.7348, loss: 16.3027, grad_norm: 47.1013 2023-11-12 09:50:14,582 - mmseg - INFO - Iter [79200/160000] lr: 5.050e-05, eta: 11:18:21, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2490, decode.loss_mask: 0.4576, decode.loss_dice: 0.7179, decode.d0.loss_cls: 1.2799, decode.d0.loss_mask: 0.4910, decode.d0.loss_dice: 0.7988, decode.d1.loss_cls: 0.3258, decode.d1.loss_mask: 0.4780, decode.d1.loss_dice: 0.7628, decode.d2.loss_cls: 0.2825, decode.d2.loss_mask: 0.4670, decode.d2.loss_dice: 0.7450, decode.d3.loss_cls: 0.2658, decode.d3.loss_mask: 0.4624, decode.d3.loss_dice: 0.7317, decode.d4.loss_cls: 0.2541, decode.d4.loss_mask: 0.4581, decode.d4.loss_dice: 0.7283, decode.d5.loss_cls: 0.2512, decode.d5.loss_mask: 0.4620, decode.d5.loss_dice: 0.7241, decode.d6.loss_cls: 0.2458, decode.d6.loss_mask: 0.4608, decode.d6.loss_dice: 0.7218, decode.d7.loss_cls: 0.2435, decode.d7.loss_mask: 0.4594, decode.d7.loss_dice: 0.7193, decode.d8.loss_cls: 0.2418, decode.d8.loss_mask: 0.4604, decode.d8.loss_dice: 0.7247, loss: 15.6702, grad_norm: 45.4119 2023-11-12 09:50:38,449 - mmseg - INFO - Iter [79250/160000] lr: 5.047e-05, eta: 11:17:54, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2285, decode.loss_mask: 0.4759, decode.loss_dice: 0.7180, decode.d0.loss_cls: 1.2097, decode.d0.loss_mask: 0.5128, decode.d0.loss_dice: 0.7848, decode.d1.loss_cls: 0.3003, decode.d1.loss_mask: 0.4937, decode.d1.loss_dice: 0.7559, decode.d2.loss_cls: 0.2601, decode.d2.loss_mask: 0.4815, decode.d2.loss_dice: 0.7379, decode.d3.loss_cls: 0.2501, decode.d3.loss_mask: 0.4774, decode.d3.loss_dice: 0.7260, decode.d4.loss_cls: 0.2384, decode.d4.loss_mask: 0.4781, decode.d4.loss_dice: 0.7251, decode.d5.loss_cls: 0.2429, decode.d5.loss_mask: 0.4772, decode.d5.loss_dice: 0.7186, decode.d6.loss_cls: 0.2331, decode.d6.loss_mask: 0.4768, decode.d6.loss_dice: 0.7167, decode.d7.loss_cls: 0.2284, decode.d7.loss_mask: 0.4783, decode.d7.loss_dice: 0.7201, decode.d8.loss_cls: 0.2268, decode.d8.loss_mask: 0.4763, decode.d8.loss_dice: 0.7173, loss: 15.5664, grad_norm: 47.3557 2023-11-12 09:51:02,250 - mmseg - INFO - Iter [79300/160000] lr: 5.044e-05, eta: 11:17:28, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2412, decode.loss_mask: 0.4961, decode.loss_dice: 0.7451, decode.d0.loss_cls: 1.2172, decode.d0.loss_mask: 0.5302, decode.d0.loss_dice: 0.8151, decode.d1.loss_cls: 0.3144, decode.d1.loss_mask: 0.5116, decode.d1.loss_dice: 0.7893, decode.d2.loss_cls: 0.2703, decode.d2.loss_mask: 0.5047, decode.d2.loss_dice: 0.7713, decode.d3.loss_cls: 0.2548, decode.d3.loss_mask: 0.4994, decode.d3.loss_dice: 0.7554, decode.d4.loss_cls: 0.2493, decode.d4.loss_mask: 0.4982, decode.d4.loss_dice: 0.7524, decode.d5.loss_cls: 0.2441, decode.d5.loss_mask: 0.5008, decode.d5.loss_dice: 0.7489, decode.d6.loss_cls: 0.2436, decode.d6.loss_mask: 0.4976, decode.d6.loss_dice: 0.7448, decode.d7.loss_cls: 0.2402, decode.d7.loss_mask: 0.4965, decode.d7.loss_dice: 0.7453, decode.d8.loss_cls: 0.2387, decode.d8.loss_mask: 0.4977, decode.d8.loss_dice: 0.7470, loss: 16.1611, grad_norm: 48.1285 2023-11-12 09:51:26,124 - mmseg - INFO - Iter [79350/160000] lr: 5.041e-05, eta: 11:17:01, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2421, decode.loss_mask: 0.4854, decode.loss_dice: 0.7254, decode.d0.loss_cls: 1.1990, decode.d0.loss_mask: 0.5226, decode.d0.loss_dice: 0.7968, decode.d1.loss_cls: 0.3166, decode.d1.loss_mask: 0.5025, decode.d1.loss_dice: 0.7606, decode.d2.loss_cls: 0.2733, decode.d2.loss_mask: 0.4921, decode.d2.loss_dice: 0.7429, decode.d3.loss_cls: 0.2637, decode.d3.loss_mask: 0.4872, decode.d3.loss_dice: 0.7245, decode.d4.loss_cls: 0.2553, decode.d4.loss_mask: 0.4884, decode.d4.loss_dice: 0.7246, decode.d5.loss_cls: 0.2538, decode.d5.loss_mask: 0.4882, decode.d5.loss_dice: 0.7280, decode.d6.loss_cls: 0.2522, decode.d6.loss_mask: 0.4850, decode.d6.loss_dice: 0.7198, decode.d7.loss_cls: 0.2439, decode.d7.loss_mask: 0.4866, decode.d7.loss_dice: 0.7246, decode.d8.loss_cls: 0.2420, decode.d8.loss_mask: 0.4854, decode.d8.loss_dice: 0.7273, loss: 15.8396, grad_norm: 46.2430 2023-11-12 09:51:49,993 - mmseg - INFO - Iter [79400/160000] lr: 5.038e-05, eta: 11:16:35, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2253, decode.loss_mask: 0.5003, decode.loss_dice: 0.7426, decode.d0.loss_cls: 1.1976, decode.d0.loss_mask: 0.5410, decode.d0.loss_dice: 0.8059, decode.d1.loss_cls: 0.2906, decode.d1.loss_mask: 0.5192, decode.d1.loss_dice: 0.7824, decode.d2.loss_cls: 0.2531, decode.d2.loss_mask: 0.5116, decode.d2.loss_dice: 0.7598, decode.d3.loss_cls: 0.2376, decode.d3.loss_mask: 0.5091, decode.d3.loss_dice: 0.7521, decode.d4.loss_cls: 0.2288, decode.d4.loss_mask: 0.5066, decode.d4.loss_dice: 0.7499, decode.d5.loss_cls: 0.2270, decode.d5.loss_mask: 0.5025, decode.d5.loss_dice: 0.7504, decode.d6.loss_cls: 0.2256, decode.d6.loss_mask: 0.5063, decode.d6.loss_dice: 0.7473, decode.d7.loss_cls: 0.2213, decode.d7.loss_mask: 0.5038, decode.d7.loss_dice: 0.7472, decode.d8.loss_cls: 0.2228, decode.d8.loss_mask: 0.5011, decode.d8.loss_dice: 0.7447, loss: 16.0134, grad_norm: 46.9837 2023-11-12 09:52:13,917 - mmseg - INFO - Iter [79450/160000] lr: 5.034e-05, eta: 11:16:08, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2392, decode.loss_mask: 0.4838, decode.loss_dice: 0.7374, decode.d0.loss_cls: 1.2001, decode.d0.loss_mask: 0.5194, decode.d0.loss_dice: 0.8086, decode.d1.loss_cls: 0.3054, decode.d1.loss_mask: 0.4960, decode.d1.loss_dice: 0.7762, decode.d2.loss_cls: 0.2672, decode.d2.loss_mask: 0.4862, decode.d2.loss_dice: 0.7544, decode.d3.loss_cls: 0.2597, decode.d3.loss_mask: 0.4844, decode.d3.loss_dice: 0.7425, decode.d4.loss_cls: 0.2530, decode.d4.loss_mask: 0.4841, decode.d4.loss_dice: 0.7408, decode.d5.loss_cls: 0.2417, decode.d5.loss_mask: 0.4835, decode.d5.loss_dice: 0.7408, decode.d6.loss_cls: 0.2400, decode.d6.loss_mask: 0.4844, decode.d6.loss_dice: 0.7389, decode.d7.loss_cls: 0.2421, decode.d7.loss_mask: 0.4854, decode.d7.loss_dice: 0.7366, decode.d8.loss_cls: 0.2416, decode.d8.loss_mask: 0.4837, decode.d8.loss_dice: 0.7374, loss: 15.8943, grad_norm: 47.3086 2023-11-12 09:52:37,913 - mmseg - INFO - Iter [79500/160000] lr: 5.031e-05, eta: 11:15:42, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2443, decode.loss_mask: 0.4977, decode.loss_dice: 0.7499, decode.d0.loss_cls: 1.2424, decode.d0.loss_mask: 0.5367, decode.d0.loss_dice: 0.8181, decode.d1.loss_cls: 0.3222, decode.d1.loss_mask: 0.5157, decode.d1.loss_dice: 0.7921, decode.d2.loss_cls: 0.2899, decode.d2.loss_mask: 0.5071, decode.d2.loss_dice: 0.7743, decode.d3.loss_cls: 0.2671, decode.d3.loss_mask: 0.5002, decode.d3.loss_dice: 0.7582, decode.d4.loss_cls: 0.2569, decode.d4.loss_mask: 0.5008, decode.d4.loss_dice: 0.7552, decode.d5.loss_cls: 0.2532, decode.d5.loss_mask: 0.4989, decode.d5.loss_dice: 0.7572, decode.d6.loss_cls: 0.2513, decode.d6.loss_mask: 0.4971, decode.d6.loss_dice: 0.7525, decode.d7.loss_cls: 0.2490, decode.d7.loss_mask: 0.4985, decode.d7.loss_dice: 0.7514, decode.d8.loss_cls: 0.2486, decode.d8.loss_mask: 0.4994, decode.d8.loss_dice: 0.7497, loss: 16.3357, grad_norm: 50.6646 2023-11-12 09:53:01,800 - mmseg - INFO - Iter [79550/160000] lr: 5.028e-05, eta: 11:15:15, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2555, decode.loss_mask: 0.4727, decode.loss_dice: 0.7199, decode.d0.loss_cls: 1.2648, decode.d0.loss_mask: 0.5030, decode.d0.loss_dice: 0.7818, decode.d1.loss_cls: 0.3313, decode.d1.loss_mask: 0.4903, decode.d1.loss_dice: 0.7550, decode.d2.loss_cls: 0.2879, decode.d2.loss_mask: 0.4788, decode.d2.loss_dice: 0.7369, decode.d3.loss_cls: 0.2775, decode.d3.loss_mask: 0.4735, decode.d3.loss_dice: 0.7202, decode.d4.loss_cls: 0.2739, decode.d4.loss_mask: 0.4732, decode.d4.loss_dice: 0.7229, decode.d5.loss_cls: 0.2645, decode.d5.loss_mask: 0.4724, decode.d5.loss_dice: 0.7232, decode.d6.loss_cls: 0.2599, decode.d6.loss_mask: 0.4720, decode.d6.loss_dice: 0.7211, decode.d7.loss_cls: 0.2605, decode.d7.loss_mask: 0.4701, decode.d7.loss_dice: 0.7211, decode.d8.loss_cls: 0.2562, decode.d8.loss_mask: 0.4706, decode.d8.loss_dice: 0.7217, loss: 15.8321, grad_norm: 48.9045 2023-11-12 09:53:28,079 - mmseg - INFO - Iter [79600/160000] lr: 5.025e-05, eta: 11:14:51, time: 0.526, data_time: 0.058, memory: 41146, decode.loss_cls: 0.2189, decode.loss_mask: 0.4817, decode.loss_dice: 0.7117, decode.d0.loss_cls: 1.2328, decode.d0.loss_mask: 0.5185, decode.d0.loss_dice: 0.7751, decode.d1.loss_cls: 0.2846, decode.d1.loss_mask: 0.4946, decode.d1.loss_dice: 0.7454, decode.d2.loss_cls: 0.2509, decode.d2.loss_mask: 0.4877, decode.d2.loss_dice: 0.7320, decode.d3.loss_cls: 0.2394, decode.d3.loss_mask: 0.4841, decode.d3.loss_dice: 0.7173, decode.d4.loss_cls: 0.2298, decode.d4.loss_mask: 0.4831, decode.d4.loss_dice: 0.7231, decode.d5.loss_cls: 0.2283, decode.d5.loss_mask: 0.4811, decode.d5.loss_dice: 0.7223, decode.d6.loss_cls: 0.2233, decode.d6.loss_mask: 0.4838, decode.d6.loss_dice: 0.7152, decode.d7.loss_cls: 0.2242, decode.d7.loss_mask: 0.4819, decode.d7.loss_dice: 0.7125, decode.d8.loss_cls: 0.2233, decode.d8.loss_mask: 0.4819, decode.d8.loss_dice: 0.7147, loss: 15.5031, grad_norm: 44.2325 2023-11-12 09:53:52,096 - mmseg - INFO - Iter [79650/160000] lr: 5.022e-05, eta: 11:14:25, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2497, decode.loss_mask: 0.4728, decode.loss_dice: 0.7455, decode.d0.loss_cls: 1.2523, decode.d0.loss_mask: 0.5150, decode.d0.loss_dice: 0.8269, decode.d1.loss_cls: 0.3337, decode.d1.loss_mask: 0.4878, decode.d1.loss_dice: 0.7879, decode.d2.loss_cls: 0.2885, decode.d2.loss_mask: 0.4831, decode.d2.loss_dice: 0.7653, decode.d3.loss_cls: 0.2651, decode.d3.loss_mask: 0.4793, decode.d3.loss_dice: 0.7548, decode.d4.loss_cls: 0.2576, decode.d4.loss_mask: 0.4769, decode.d4.loss_dice: 0.7523, decode.d5.loss_cls: 0.2587, decode.d5.loss_mask: 0.4738, decode.d5.loss_dice: 0.7547, decode.d6.loss_cls: 0.2586, decode.d6.loss_mask: 0.4729, decode.d6.loss_dice: 0.7435, decode.d7.loss_cls: 0.2523, decode.d7.loss_mask: 0.4744, decode.d7.loss_dice: 0.7424, decode.d8.loss_cls: 0.2561, decode.d8.loss_mask: 0.4736, decode.d8.loss_dice: 0.7437, loss: 16.0992, grad_norm: 46.6391 2023-11-12 09:54:23,394 - mmseg - INFO - Iter [79700/160000] lr: 5.019e-05, eta: 11:14:06, time: 0.626, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2308, decode.loss_mask: 0.4963, decode.loss_dice: 0.7310, decode.d0.loss_cls: 1.2086, decode.d0.loss_mask: 0.5289, decode.d0.loss_dice: 0.7936, decode.d1.loss_cls: 0.3082, decode.d1.loss_mask: 0.5126, decode.d1.loss_dice: 0.7680, decode.d2.loss_cls: 0.2647, decode.d2.loss_mask: 0.5027, decode.d2.loss_dice: 0.7512, decode.d3.loss_cls: 0.2416, decode.d3.loss_mask: 0.5004, decode.d3.loss_dice: 0.7378, decode.d4.loss_cls: 0.2428, decode.d4.loss_mask: 0.4992, decode.d4.loss_dice: 0.7350, decode.d5.loss_cls: 0.2362, decode.d5.loss_mask: 0.4978, decode.d5.loss_dice: 0.7390, decode.d6.loss_cls: 0.2302, decode.d6.loss_mask: 0.4979, decode.d6.loss_dice: 0.7338, decode.d7.loss_cls: 0.2282, decode.d7.loss_mask: 0.4965, decode.d7.loss_dice: 0.7304, decode.d8.loss_cls: 0.2298, decode.d8.loss_mask: 0.4967, decode.d8.loss_dice: 0.7347, loss: 15.9044, grad_norm: 45.1058 2023-11-12 09:54:48,435 - mmseg - INFO - Iter [79750/160000] lr: 5.016e-05, eta: 11:13:40, time: 0.501, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2206, decode.loss_mask: 0.4906, decode.loss_dice: 0.7178, decode.d0.loss_cls: 1.2335, decode.d0.loss_mask: 0.5226, decode.d0.loss_dice: 0.7817, decode.d1.loss_cls: 0.3018, decode.d1.loss_mask: 0.5052, decode.d1.loss_dice: 0.7504, decode.d2.loss_cls: 0.2591, decode.d2.loss_mask: 0.4937, decode.d2.loss_dice: 0.7373, decode.d3.loss_cls: 0.2370, decode.d3.loss_mask: 0.4917, decode.d3.loss_dice: 0.7283, decode.d4.loss_cls: 0.2358, decode.d4.loss_mask: 0.4877, decode.d4.loss_dice: 0.7212, decode.d5.loss_cls: 0.2256, decode.d5.loss_mask: 0.4863, decode.d5.loss_dice: 0.7239, decode.d6.loss_cls: 0.2286, decode.d6.loss_mask: 0.4868, decode.d6.loss_dice: 0.7127, decode.d7.loss_cls: 0.2233, decode.d7.loss_mask: 0.4894, decode.d7.loss_dice: 0.7159, decode.d8.loss_cls: 0.2197, decode.d8.loss_mask: 0.4907, decode.d8.loss_dice: 0.7229, loss: 15.6419, grad_norm: 49.5187 2023-11-12 09:55:13,092 - mmseg - INFO - Iter [79800/160000] lr: 5.013e-05, eta: 11:13:15, time: 0.493, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2309, decode.loss_mask: 0.4897, decode.loss_dice: 0.7176, decode.d0.loss_cls: 1.2137, decode.d0.loss_mask: 0.5257, decode.d0.loss_dice: 0.7824, decode.d1.loss_cls: 0.2919, decode.d1.loss_mask: 0.5064, decode.d1.loss_dice: 0.7574, decode.d2.loss_cls: 0.2593, decode.d2.loss_mask: 0.4975, decode.d2.loss_dice: 0.7396, decode.d3.loss_cls: 0.2462, decode.d3.loss_mask: 0.4929, decode.d3.loss_dice: 0.7283, decode.d4.loss_cls: 0.2423, decode.d4.loss_mask: 0.4939, decode.d4.loss_dice: 0.7241, decode.d5.loss_cls: 0.2404, decode.d5.loss_mask: 0.4900, decode.d5.loss_dice: 0.7248, decode.d6.loss_cls: 0.2356, decode.d6.loss_mask: 0.4917, decode.d6.loss_dice: 0.7195, decode.d7.loss_cls: 0.2310, decode.d7.loss_mask: 0.4917, decode.d7.loss_dice: 0.7204, decode.d8.loss_cls: 0.2291, decode.d8.loss_mask: 0.4905, decode.d8.loss_dice: 0.7201, loss: 15.7249, grad_norm: 45.2354 2023-11-12 09:55:37,768 - mmseg - INFO - Iter [79850/160000] lr: 5.009e-05, eta: 11:12:49, time: 0.493, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2293, decode.loss_mask: 0.4823, decode.loss_dice: 0.7348, decode.d0.loss_cls: 1.2219, decode.d0.loss_mask: 0.5226, decode.d0.loss_dice: 0.7960, decode.d1.loss_cls: 0.3036, decode.d1.loss_mask: 0.4985, decode.d1.loss_dice: 0.7712, decode.d2.loss_cls: 0.2617, decode.d2.loss_mask: 0.4880, decode.d2.loss_dice: 0.7492, decode.d3.loss_cls: 0.2549, decode.d3.loss_mask: 0.4858, decode.d3.loss_dice: 0.7360, decode.d4.loss_cls: 0.2467, decode.d4.loss_mask: 0.4819, decode.d4.loss_dice: 0.7317, decode.d5.loss_cls: 0.2343, decode.d5.loss_mask: 0.4822, decode.d5.loss_dice: 0.7376, decode.d6.loss_cls: 0.2348, decode.d6.loss_mask: 0.4823, decode.d6.loss_dice: 0.7314, decode.d7.loss_cls: 0.2327, decode.d7.loss_mask: 0.4813, decode.d7.loss_dice: 0.7347, decode.d8.loss_cls: 0.2284, decode.d8.loss_mask: 0.4814, decode.d8.loss_dice: 0.7373, loss: 15.7946, grad_norm: 46.6442 2023-11-12 09:56:02,447 - mmseg - INFO - Iter [79900/160000] lr: 5.006e-05, eta: 11:12:23, time: 0.494, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2347, decode.loss_mask: 0.4836, decode.loss_dice: 0.7361, decode.d0.loss_cls: 1.2123, decode.d0.loss_mask: 0.5174, decode.d0.loss_dice: 0.7999, decode.d1.loss_cls: 0.3053, decode.d1.loss_mask: 0.4997, decode.d1.loss_dice: 0.7654, decode.d2.loss_cls: 0.2725, decode.d2.loss_mask: 0.4906, decode.d2.loss_dice: 0.7482, decode.d3.loss_cls: 0.2538, decode.d3.loss_mask: 0.4869, decode.d3.loss_dice: 0.7313, decode.d4.loss_cls: 0.2466, decode.d4.loss_mask: 0.4857, decode.d4.loss_dice: 0.7334, decode.d5.loss_cls: 0.2479, decode.d5.loss_mask: 0.4839, decode.d5.loss_dice: 0.7336, decode.d6.loss_cls: 0.2378, decode.d6.loss_mask: 0.4842, decode.d6.loss_dice: 0.7297, decode.d7.loss_cls: 0.2406, decode.d7.loss_mask: 0.4835, decode.d7.loss_dice: 0.7318, decode.d8.loss_cls: 0.2412, decode.d8.loss_mask: 0.4822, decode.d8.loss_dice: 0.7352, loss: 15.8351, grad_norm: 47.3312 2023-11-12 09:56:26,231 - mmseg - INFO - Iter [79950/160000] lr: 5.003e-05, eta: 11:11:57, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2391, decode.loss_mask: 0.4709, decode.loss_dice: 0.7265, decode.d0.loss_cls: 1.2078, decode.d0.loss_mask: 0.5029, decode.d0.loss_dice: 0.7809, decode.d1.loss_cls: 0.3035, decode.d1.loss_mask: 0.4806, decode.d1.loss_dice: 0.7616, decode.d2.loss_cls: 0.2640, decode.d2.loss_mask: 0.4803, decode.d2.loss_dice: 0.7456, decode.d3.loss_cls: 0.2531, decode.d3.loss_mask: 0.4761, decode.d3.loss_dice: 0.7317, decode.d4.loss_cls: 0.2492, decode.d4.loss_mask: 0.4722, decode.d4.loss_dice: 0.7272, decode.d5.loss_cls: 0.2447, decode.d5.loss_mask: 0.4722, decode.d5.loss_dice: 0.7292, decode.d6.loss_cls: 0.2371, decode.d6.loss_mask: 0.4715, decode.d6.loss_dice: 0.7230, decode.d7.loss_cls: 0.2388, decode.d7.loss_mask: 0.4701, decode.d7.loss_dice: 0.7244, decode.d8.loss_cls: 0.2383, decode.d8.loss_mask: 0.4701, decode.d8.loss_dice: 0.7251, loss: 15.6177, grad_norm: 46.1977 2023-11-12 09:56:50,127 - mmseg - INFO - Saving checkpoint at 80000 iterations 2023-11-12 09:56:53,953 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 09:56:53,953 - mmseg - INFO - Iter [80000/160000] lr: 5.000e-05, eta: 11:11:34, time: 0.555, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2262, decode.loss_mask: 0.4963, decode.loss_dice: 0.7195, decode.d0.loss_cls: 1.1811, decode.d0.loss_mask: 0.5358, decode.d0.loss_dice: 0.7882, decode.d1.loss_cls: 0.2883, decode.d1.loss_mask: 0.5161, decode.d1.loss_dice: 0.7555, decode.d2.loss_cls: 0.2586, decode.d2.loss_mask: 0.5046, decode.d2.loss_dice: 0.7357, decode.d3.loss_cls: 0.2348, decode.d3.loss_mask: 0.5025, decode.d3.loss_dice: 0.7296, decode.d4.loss_cls: 0.2271, decode.d4.loss_mask: 0.5000, decode.d4.loss_dice: 0.7261, decode.d5.loss_cls: 0.2310, decode.d5.loss_mask: 0.4991, decode.d5.loss_dice: 0.7277, decode.d6.loss_cls: 0.2267, decode.d6.loss_mask: 0.4971, decode.d6.loss_dice: 0.7236, decode.d7.loss_cls: 0.2216, decode.d7.loss_mask: 0.4968, decode.d7.loss_dice: 0.7269, decode.d8.loss_cls: 0.2227, decode.d8.loss_mask: 0.4955, decode.d8.loss_dice: 0.7244, loss: 15.7190, grad_norm: 50.2569 2023-11-12 09:57:13,300 - mmseg - INFO - per class results: 2023-11-12 09:57:13,305 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.95 | 87.33 | | building | 82.35 | 91.07 | | sky | 94.38 | 96.69 | | floor | 83.45 | 90.22 | | tree | 74.56 | 87.01 | | ceiling | 84.97 | 91.06 | | road | 85.35 | 90.7 | | bed | 91.22 | 96.16 | | windowpane | 62.76 | 80.73 | | grass | 68.44 | 83.91 | | cabinet | 64.86 | 76.78 | | sidewalk | 67.91 | 82.87 | | person | 84.96 | 92.17 | | earth | 39.28 | 53.59 | | door | 52.54 | 69.98 | | table | 66.21 | 78.58 | | mountain | 67.0 | 75.7 | | plant | 54.09 | 72.8 | | curtain | 78.4 | 86.31 | | chair | 62.97 | 78.44 | | car | 85.61 | 91.57 | | water | 56.1 | 68.65 | | painting | 73.52 | 89.87 | | sofa | 71.28 | 84.03 | | shelf | 46.6 | 65.51 | | house | 43.85 | 69.18 | | sea | 65.53 | 90.0 | | mirror | 68.63 | 80.57 | | rug | 66.33 | 81.49 | | field | 30.74 | 45.69 | | armchair | 49.87 | 65.4 | | seat | 58.84 | 84.96 | | fence | 48.39 | 67.8 | | desk | 53.5 | 75.1 | | rock | 50.24 | 79.2 | | wardrobe | 46.83 | 72.89 | | lamp | 68.4 | 81.87 | | bathtub | 79.32 | 87.08 | | railing | 32.49 | 48.65 | | cushion | 64.57 | 79.41 | | base | 40.35 | 63.06 | | box | 27.07 | 37.24 | | column | 43.19 | 55.14 | | signboard | 38.18 | 54.6 | | chest of drawers | 42.76 | 61.23 | | counter | 35.3 | 43.57 | | sand | 38.74 | 55.16 | | sink | 74.42 | 80.81 | | skyscraper | 40.73 | 45.62 | | fireplace | 69.67 | 93.13 | | refrigerator | 76.15 | 84.43 | | grandstand | 41.05 | 70.63 | | path | 30.08 | 49.12 | | stairs | 34.51 | 46.62 | | runway | 78.28 | 92.3 | | case | 66.8 | 83.55 | | pool table | 94.4 | 96.88 | | pillow | 64.43 | 79.49 | | screen door | 71.74 | 83.0 | | stairway | 33.91 | 37.69 | | river | 10.41 | 15.26 | | bridge | 70.88 | 89.29 | | bookcase | 39.92 | 61.77 | | blind | 48.49 | 59.92 | | coffee table | 67.89 | 83.19 | | toilet | 88.07 | 91.68 | | flower | 43.72 | 56.63 | | book | 50.55 | 72.5 | | hill | 7.1 | 14.2 | | bench | 47.28 | 61.12 | | countertop | 56.67 | 71.5 | | stove | 81.69 | 89.52 | | palm | 52.53 | 66.94 | | kitchen island | 55.28 | 89.15 | | computer | 72.58 | 77.91 | | swivel chair | 39.9 | 54.72 | | boat | 34.57 | 49.69 | | bar | 62.18 | 70.67 | | arcade machine | 78.28 | 84.18 | | hovel | 43.42 | 64.87 | | bus | 94.13 | 96.65 | | towel | 68.07 | 83.32 | | light | 62.25 | 74.91 | | truck | 32.17 | 58.79 | | tower | 35.64 | 48.37 | | chandelier | 68.24 | 87.07 | | awning | 35.7 | 49.5 | | streetlight | 46.0 | 63.34 | | booth | 38.03 | 38.27 | | television receiver | 74.12 | 82.45 | | airplane | 65.76 | 73.21 | | dirt track | 17.62 | 50.67 | | apparel | 30.95 | 52.47 | | pole | 35.32 | 62.02 | | land | 3.88 | 9.7 | | bannister | 18.37 | 29.5 | | escalator | 22.85 | 24.33 | | ottoman | 58.32 | 74.98 | | bottle | 33.75 | 43.66 | | buffet | 50.48 | 59.68 | | poster | 23.75 | 38.6 | | stage | 16.02 | 31.33 | | van | 50.48 | 76.48 | | ship | 9.0 | 14.12 | | fountain | 21.24 | 21.79 | | conveyer belt | 44.35 | 68.47 | | canopy | 30.62 | 47.02 | | washer | 70.75 | 73.66 | | plaything | 45.82 | 67.33 | | swimming pool | 60.23 | 60.63 | | stool | 49.77 | 67.95 | | barrel | 88.6 | 97.74 | | basket | 44.96 | 57.95 | | waterfall | 64.31 | 91.2 | | tent | 96.24 | 97.9 | | bag | 21.16 | 27.21 | | minibike | 75.2 | 92.41 | | cradle | 85.9 | 97.49 | | oven | 24.54 | 67.04 | | ball | 23.21 | 28.84 | | food | 64.79 | 84.27 | | step | 17.93 | 27.29 | | tank | 55.76 | 66.15 | | trade name | 28.42 | 35.33 | | microwave | 41.63 | 46.27 | | pot | 49.27 | 59.97 | | animal | 62.3 | 64.39 | | bicycle | 58.1 | 78.39 | | lake | 39.31 | 67.15 | | dishwasher | 77.77 | 87.98 | | screen | 63.49 | 95.25 | | blanket | 26.96 | 30.95 | | sculpture | 64.84 | 87.84 | | hood | 77.3 | 92.38 | | sconce | 51.4 | 63.86 | | vase | 47.93 | 68.98 | | traffic light | 42.27 | 67.97 | | tray | 15.03 | 30.42 | | ashcan | 51.12 | 67.91 | | fan | 71.38 | 84.84 | | pier | 20.43 | 28.96 | | crt screen | 4.54 | 12.04 | | plate | 61.19 | 75.41 | | monitor | 9.78 | 16.61 | | bulletin board | 50.4 | 80.15 | | shower | 6.09 | 24.72 | | radiator | 70.04 | 84.66 | | glass | 21.48 | 23.76 | | clock | 52.43 | 67.61 | | flag | 44.52 | 50.44 | +---------------------+-------+-------+ 2023-11-12 09:57:13,306 - mmseg - INFO - Summary: 2023-11-12 09:57:13,306 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 84.1 | 52.56 | 66.46 | +------+-------+-------+ 2023-11-12 09:57:13,307 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 09:57:13,307 - mmseg - INFO - Iter(val) [250] aAcc: 0.8410, mIoU: 0.5256, mAcc: 0.6646, IoU.wall: 0.7895, IoU.building: 0.8235, IoU.sky: 0.9438, IoU.floor: 0.8345, IoU.tree: 0.7456, IoU.ceiling: 0.8497, IoU.road: 0.8535, IoU.bed : 0.9122, IoU.windowpane: 0.6276, IoU.grass: 0.6844, IoU.cabinet: 0.6486, IoU.sidewalk: 0.6791, IoU.person: 0.8496, IoU.earth: 0.3928, IoU.door: 0.5254, IoU.table: 0.6621, IoU.mountain: 0.6700, IoU.plant: 0.5409, IoU.curtain: 0.7840, IoU.chair: 0.6297, IoU.car: 0.8561, IoU.water: 0.5610, IoU.painting: 0.7352, IoU.sofa: 0.7128, IoU.shelf: 0.4660, IoU.house: 0.4385, IoU.sea: 0.6553, IoU.mirror: 0.6863, IoU.rug: 0.6633, IoU.field: 0.3074, IoU.armchair: 0.4987, IoU.seat: 0.5884, IoU.fence: 0.4839, IoU.desk: 0.5350, IoU.rock: 0.5024, IoU.wardrobe: 0.4683, IoU.lamp: 0.6840, IoU.bathtub: 0.7932, IoU.railing: 0.3249, IoU.cushion: 0.6457, IoU.base: 0.4035, IoU.box: 0.2707, IoU.column: 0.4319, IoU.signboard: 0.3818, IoU.chest of drawers: 0.4276, IoU.counter: 0.3530, IoU.sand: 0.3874, IoU.sink: 0.7442, IoU.skyscraper: 0.4073, IoU.fireplace: 0.6967, IoU.refrigerator: 0.7615, IoU.grandstand: 0.4105, IoU.path: 0.3008, IoU.stairs: 0.3451, IoU.runway: 0.7828, IoU.case: 0.6680, IoU.pool table: 0.9440, IoU.pillow: 0.6443, IoU.screen door: 0.7174, IoU.stairway: 0.3391, IoU.river: 0.1041, IoU.bridge: 0.7088, IoU.bookcase: 0.3992, IoU.blind: 0.4849, IoU.coffee table: 0.6789, IoU.toilet: 0.8807, IoU.flower: 0.4372, IoU.book: 0.5055, IoU.hill: 0.0710, IoU.bench: 0.4728, IoU.countertop: 0.5667, IoU.stove: 0.8169, IoU.palm: 0.5253, IoU.kitchen island: 0.5528, IoU.computer: 0.7258, IoU.swivel chair: 0.3990, IoU.boat: 0.3457, IoU.bar: 0.6218, IoU.arcade machine: 0.7828, IoU.hovel: 0.4342, IoU.bus: 0.9413, IoU.towel: 0.6807, IoU.light: 0.6225, IoU.truck: 0.3217, IoU.tower: 0.3564, IoU.chandelier: 0.6824, IoU.awning: 0.3570, IoU.streetlight: 0.4600, IoU.booth: 0.3803, IoU.television receiver: 0.7412, IoU.airplane: 0.6576, IoU.dirt track: 0.1762, IoU.apparel: 0.3095, IoU.pole: 0.3532, IoU.land: 0.0388, IoU.bannister: 0.1837, IoU.escalator: 0.2285, IoU.ottoman: 0.5832, IoU.bottle: 0.3375, IoU.buffet: 0.5048, IoU.poster: 0.2375, IoU.stage: 0.1602, IoU.van: 0.5048, IoU.ship: 0.0900, IoU.fountain: 0.2124, IoU.conveyer belt: 0.4435, IoU.canopy: 0.3062, IoU.washer: 0.7075, IoU.plaything: 0.4582, IoU.swimming pool: 0.6023, IoU.stool: 0.4977, IoU.barrel: 0.8860, IoU.basket: 0.4496, IoU.waterfall: 0.6431, IoU.tent: 0.9624, IoU.bag: 0.2116, IoU.minibike: 0.7520, IoU.cradle: 0.8590, IoU.oven: 0.2454, IoU.ball: 0.2321, IoU.food: 0.6479, IoU.step: 0.1793, IoU.tank: 0.5576, IoU.trade name: 0.2842, IoU.microwave: 0.4163, IoU.pot: 0.4927, IoU.animal: 0.6230, IoU.bicycle: 0.5810, IoU.lake: 0.3931, IoU.dishwasher: 0.7777, IoU.screen: 0.6349, IoU.blanket: 0.2696, IoU.sculpture: 0.6484, IoU.hood: 0.7730, IoU.sconce: 0.5140, IoU.vase: 0.4793, IoU.traffic light: 0.4227, IoU.tray: 0.1503, IoU.ashcan: 0.5112, IoU.fan: 0.7138, IoU.pier: 0.2043, IoU.crt screen: 0.0454, IoU.plate: 0.6119, IoU.monitor: 0.0978, IoU.bulletin board: 0.5040, IoU.shower: 0.0609, IoU.radiator: 0.7004, IoU.glass: 0.2148, IoU.clock: 0.5243, IoU.flag: 0.4452, Acc.wall: 0.8733, Acc.building: 0.9107, Acc.sky: 0.9669, Acc.floor: 0.9022, Acc.tree: 0.8701, Acc.ceiling: 0.9106, Acc.road: 0.9070, Acc.bed : 0.9616, Acc.windowpane: 0.8073, Acc.grass: 0.8391, Acc.cabinet: 0.7678, Acc.sidewalk: 0.8287, Acc.person: 0.9217, Acc.earth: 0.5359, Acc.door: 0.6998, Acc.table: 0.7858, Acc.mountain: 0.7570, Acc.plant: 0.7280, Acc.curtain: 0.8631, Acc.chair: 0.7844, Acc.car: 0.9157, Acc.water: 0.6865, Acc.painting: 0.8987, Acc.sofa: 0.8403, Acc.shelf: 0.6551, Acc.house: 0.6918, Acc.sea: 0.9000, Acc.mirror: 0.8057, Acc.rug: 0.8149, Acc.field: 0.4569, Acc.armchair: 0.6540, Acc.seat: 0.8496, Acc.fence: 0.6780, Acc.desk: 0.7510, Acc.rock: 0.7920, Acc.wardrobe: 0.7289, Acc.lamp: 0.8187, Acc.bathtub: 0.8708, Acc.railing: 0.4865, Acc.cushion: 0.7941, Acc.base: 0.6306, Acc.box: 0.3724, Acc.column: 0.5514, Acc.signboard: 0.5460, Acc.chest of drawers: 0.6123, Acc.counter: 0.4357, Acc.sand: 0.5516, Acc.sink: 0.8081, Acc.skyscraper: 0.4562, Acc.fireplace: 0.9313, Acc.refrigerator: 0.8443, Acc.grandstand: 0.7063, Acc.path: 0.4912, Acc.stairs: 0.4662, Acc.runway: 0.9230, Acc.case: 0.8355, Acc.pool table: 0.9688, Acc.pillow: 0.7949, Acc.screen door: 0.8300, Acc.stairway: 0.3769, Acc.river: 0.1526, Acc.bridge: 0.8929, Acc.bookcase: 0.6177, Acc.blind: 0.5992, Acc.coffee table: 0.8319, Acc.toilet: 0.9168, Acc.flower: 0.5663, Acc.book: 0.7250, Acc.hill: 0.1420, Acc.bench: 0.6112, Acc.countertop: 0.7150, Acc.stove: 0.8952, Acc.palm: 0.6694, Acc.kitchen island: 0.8915, Acc.computer: 0.7791, Acc.swivel chair: 0.5472, Acc.boat: 0.4969, Acc.bar: 0.7067, Acc.arcade machine: 0.8418, Acc.hovel: 0.6487, Acc.bus: 0.9665, Acc.towel: 0.8332, Acc.light: 0.7491, Acc.truck: 0.5879, Acc.tower: 0.4837, Acc.chandelier: 0.8707, Acc.awning: 0.4950, Acc.streetlight: 0.6334, Acc.booth: 0.3827, Acc.television receiver: 0.8245, Acc.airplane: 0.7321, Acc.dirt track: 0.5067, Acc.apparel: 0.5247, Acc.pole: 0.6202, Acc.land: 0.0970, Acc.bannister: 0.2950, Acc.escalator: 0.2433, Acc.ottoman: 0.7498, Acc.bottle: 0.4366, Acc.buffet: 0.5968, Acc.poster: 0.3860, Acc.stage: 0.3133, Acc.van: 0.7648, Acc.ship: 0.1412, Acc.fountain: 0.2179, Acc.conveyer belt: 0.6847, Acc.canopy: 0.4702, Acc.washer: 0.7366, Acc.plaything: 0.6733, Acc.swimming pool: 0.6063, Acc.stool: 0.6795, Acc.barrel: 0.9774, Acc.basket: 0.5795, Acc.waterfall: 0.9120, Acc.tent: 0.9790, Acc.bag: 0.2721, Acc.minibike: 0.9241, Acc.cradle: 0.9749, Acc.oven: 0.6704, Acc.ball: 0.2884, Acc.food: 0.8427, Acc.step: 0.2729, Acc.tank: 0.6615, Acc.trade name: 0.3533, Acc.microwave: 0.4627, Acc.pot: 0.5997, Acc.animal: 0.6439, Acc.bicycle: 0.7839, Acc.lake: 0.6715, Acc.dishwasher: 0.8798, Acc.screen: 0.9525, Acc.blanket: 0.3095, Acc.sculpture: 0.8784, Acc.hood: 0.9238, Acc.sconce: 0.6386, Acc.vase: 0.6898, Acc.traffic light: 0.6797, Acc.tray: 0.3042, Acc.ashcan: 0.6791, Acc.fan: 0.8484, Acc.pier: 0.2896, Acc.crt screen: 0.1204, Acc.plate: 0.7541, Acc.monitor: 0.1661, Acc.bulletin board: 0.8015, Acc.shower: 0.2472, Acc.radiator: 0.8466, Acc.glass: 0.2376, Acc.clock: 0.6761, Acc.flag: 0.5044 2023-11-12 09:57:42,927 - mmseg - INFO - Iter [80050/160000] lr: 4.997e-05, eta: 11:11:33, time: 0.979, data_time: 0.400, memory: 41146, decode.loss_cls: 0.2245, decode.loss_mask: 0.4686, decode.loss_dice: 0.7293, decode.d0.loss_cls: 1.2144, decode.d0.loss_mask: 0.5006, decode.d0.loss_dice: 0.7955, decode.d1.loss_cls: 0.2984, decode.d1.loss_mask: 0.4807, decode.d1.loss_dice: 0.7613, decode.d2.loss_cls: 0.2629, decode.d2.loss_mask: 0.4729, decode.d2.loss_dice: 0.7424, decode.d3.loss_cls: 0.2430, decode.d3.loss_mask: 0.4708, decode.d3.loss_dice: 0.7336, decode.d4.loss_cls: 0.2379, decode.d4.loss_mask: 0.4685, decode.d4.loss_dice: 0.7342, decode.d5.loss_cls: 0.2317, decode.d5.loss_mask: 0.4704, decode.d5.loss_dice: 0.7328, decode.d6.loss_cls: 0.2331, decode.d6.loss_mask: 0.4671, decode.d6.loss_dice: 0.7292, decode.d7.loss_cls: 0.2286, decode.d7.loss_mask: 0.4669, decode.d7.loss_dice: 0.7233, decode.d8.loss_cls: 0.2295, decode.d8.loss_mask: 0.4681, decode.d8.loss_dice: 0.7304, loss: 15.5505, grad_norm: 45.7922 2023-11-12 09:58:10,051 - mmseg - INFO - Iter [80100/160000] lr: 4.994e-05, eta: 11:11:09, time: 0.542, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2387, decode.loss_mask: 0.4805, decode.loss_dice: 0.7379, decode.d0.loss_cls: 1.2166, decode.d0.loss_mask: 0.5183, decode.d0.loss_dice: 0.8106, decode.d1.loss_cls: 0.3038, decode.d1.loss_mask: 0.5008, decode.d1.loss_dice: 0.7795, decode.d2.loss_cls: 0.2757, decode.d2.loss_mask: 0.4922, decode.d2.loss_dice: 0.7596, decode.d3.loss_cls: 0.2568, decode.d3.loss_mask: 0.4843, decode.d3.loss_dice: 0.7445, decode.d4.loss_cls: 0.2495, decode.d4.loss_mask: 0.4827, decode.d4.loss_dice: 0.7422, decode.d5.loss_cls: 0.2453, decode.d5.loss_mask: 0.4827, decode.d5.loss_dice: 0.7390, decode.d6.loss_cls: 0.2460, decode.d6.loss_mask: 0.4819, decode.d6.loss_dice: 0.7383, decode.d7.loss_cls: 0.2435, decode.d7.loss_mask: 0.4807, decode.d7.loss_dice: 0.7372, decode.d8.loss_cls: 0.2413, decode.d8.loss_mask: 0.4824, decode.d8.loss_dice: 0.7385, loss: 15.9308, grad_norm: 46.4493 2023-11-12 09:58:36,744 - mmseg - INFO - Iter [80150/160000] lr: 4.991e-05, eta: 11:10:46, time: 0.532, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2261, decode.loss_mask: 0.4829, decode.loss_dice: 0.7132, decode.d0.loss_cls: 1.2351, decode.d0.loss_mask: 0.5106, decode.d0.loss_dice: 0.7765, decode.d1.loss_cls: 0.2950, decode.d1.loss_mask: 0.4966, decode.d1.loss_dice: 0.7470, decode.d2.loss_cls: 0.2654, decode.d2.loss_mask: 0.4886, decode.d2.loss_dice: 0.7313, decode.d3.loss_cls: 0.2493, decode.d3.loss_mask: 0.4846, decode.d3.loss_dice: 0.7214, decode.d4.loss_cls: 0.2385, decode.d4.loss_mask: 0.4813, decode.d4.loss_dice: 0.7223, decode.d5.loss_cls: 0.2348, decode.d5.loss_mask: 0.4843, decode.d5.loss_dice: 0.7166, decode.d6.loss_cls: 0.2288, decode.d6.loss_mask: 0.4826, decode.d6.loss_dice: 0.7123, decode.d7.loss_cls: 0.2280, decode.d7.loss_mask: 0.4818, decode.d7.loss_dice: 0.7152, decode.d8.loss_cls: 0.2270, decode.d8.loss_mask: 0.4823, decode.d8.loss_dice: 0.7126, loss: 15.5723, grad_norm: 46.0996 2023-11-12 09:59:01,166 - mmseg - INFO - Iter [80200/160000] lr: 4.988e-05, eta: 11:10:20, time: 0.490, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2239, decode.loss_mask: 0.4761, decode.loss_dice: 0.7086, decode.d0.loss_cls: 1.2256, decode.d0.loss_mask: 0.5053, decode.d0.loss_dice: 0.7607, decode.d1.loss_cls: 0.2942, decode.d1.loss_mask: 0.4897, decode.d1.loss_dice: 0.7426, decode.d2.loss_cls: 0.2608, decode.d2.loss_mask: 0.4808, decode.d2.loss_dice: 0.7290, decode.d3.loss_cls: 0.2418, decode.d3.loss_mask: 0.4771, decode.d3.loss_dice: 0.7109, decode.d4.loss_cls: 0.2336, decode.d4.loss_mask: 0.4770, decode.d4.loss_dice: 0.7113, decode.d5.loss_cls: 0.2252, decode.d5.loss_mask: 0.4787, decode.d5.loss_dice: 0.7136, decode.d6.loss_cls: 0.2304, decode.d6.loss_mask: 0.4767, decode.d6.loss_dice: 0.7075, decode.d7.loss_cls: 0.2244, decode.d7.loss_mask: 0.4773, decode.d7.loss_dice: 0.7129, decode.d8.loss_cls: 0.2241, decode.d8.loss_mask: 0.4765, decode.d8.loss_dice: 0.7080, loss: 15.4040, grad_norm: 46.7627 2023-11-12 09:59:25,965 - mmseg - INFO - Iter [80250/160000] lr: 4.984e-05, eta: 11:09:54, time: 0.494, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2399, decode.loss_mask: 0.4942, decode.loss_dice: 0.7298, decode.d0.loss_cls: 1.2240, decode.d0.loss_mask: 0.5264, decode.d0.loss_dice: 0.7940, decode.d1.loss_cls: 0.3004, decode.d1.loss_mask: 0.5065, decode.d1.loss_dice: 0.7671, decode.d2.loss_cls: 0.2655, decode.d2.loss_mask: 0.5007, decode.d2.loss_dice: 0.7428, decode.d3.loss_cls: 0.2566, decode.d3.loss_mask: 0.4964, decode.d3.loss_dice: 0.7302, decode.d4.loss_cls: 0.2490, decode.d4.loss_mask: 0.4959, decode.d4.loss_dice: 0.7329, decode.d5.loss_cls: 0.2489, decode.d5.loss_mask: 0.4938, decode.d5.loss_dice: 0.7286, decode.d6.loss_cls: 0.2457, decode.d6.loss_mask: 0.4937, decode.d6.loss_dice: 0.7270, decode.d7.loss_cls: 0.2402, decode.d7.loss_mask: 0.4940, decode.d7.loss_dice: 0.7222, decode.d8.loss_cls: 0.2407, decode.d8.loss_mask: 0.4944, decode.d8.loss_dice: 0.7264, loss: 15.9080, grad_norm: 48.4703 2023-11-12 09:59:50,234 - mmseg - INFO - Iter [80300/160000] lr: 4.981e-05, eta: 11:09:28, time: 0.487, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2583, decode.loss_mask: 0.4854, decode.loss_dice: 0.7409, decode.d0.loss_cls: 1.2285, decode.d0.loss_mask: 0.5172, decode.d0.loss_dice: 0.8089, decode.d1.loss_cls: 0.3292, decode.d1.loss_mask: 0.5011, decode.d1.loss_dice: 0.7835, decode.d2.loss_cls: 0.2887, decode.d2.loss_mask: 0.4926, decode.d2.loss_dice: 0.7592, decode.d3.loss_cls: 0.2736, decode.d3.loss_mask: 0.4897, decode.d3.loss_dice: 0.7455, decode.d4.loss_cls: 0.2687, decode.d4.loss_mask: 0.4865, decode.d4.loss_dice: 0.7476, decode.d5.loss_cls: 0.2625, decode.d5.loss_mask: 0.4884, decode.d5.loss_dice: 0.7435, decode.d6.loss_cls: 0.2624, decode.d6.loss_mask: 0.4887, decode.d6.loss_dice: 0.7369, decode.d7.loss_cls: 0.2599, decode.d7.loss_mask: 0.4859, decode.d7.loss_dice: 0.7372, decode.d8.loss_cls: 0.2561, decode.d8.loss_mask: 0.4868, decode.d8.loss_dice: 0.7382, loss: 16.1519, grad_norm: 47.3806 2023-11-12 10:00:14,161 - mmseg - INFO - Iter [80350/160000] lr: 4.978e-05, eta: 11:09:02, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2248, decode.loss_mask: 0.4662, decode.loss_dice: 0.7140, decode.d0.loss_cls: 1.2037, decode.d0.loss_mask: 0.5015, decode.d0.loss_dice: 0.7775, decode.d1.loss_cls: 0.2999, decode.d1.loss_mask: 0.4809, decode.d1.loss_dice: 0.7478, decode.d2.loss_cls: 0.2554, decode.d2.loss_mask: 0.4747, decode.d2.loss_dice: 0.7349, decode.d3.loss_cls: 0.2412, decode.d3.loss_mask: 0.4703, decode.d3.loss_dice: 0.7176, decode.d4.loss_cls: 0.2337, decode.d4.loss_mask: 0.4698, decode.d4.loss_dice: 0.7221, decode.d5.loss_cls: 0.2344, decode.d5.loss_mask: 0.4702, decode.d5.loss_dice: 0.7197, decode.d6.loss_cls: 0.2308, decode.d6.loss_mask: 0.4683, decode.d6.loss_dice: 0.7121, decode.d7.loss_cls: 0.2293, decode.d7.loss_mask: 0.4683, decode.d7.loss_dice: 0.7147, decode.d8.loss_cls: 0.2242, decode.d8.loss_mask: 0.4676, decode.d8.loss_dice: 0.7193, loss: 15.3950, grad_norm: 46.4670 2023-11-12 10:00:38,010 - mmseg - INFO - Iter [80400/160000] lr: 4.975e-05, eta: 11:08:35, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2513, decode.loss_mask: 0.4840, decode.loss_dice: 0.7439, decode.d0.loss_cls: 1.2657, decode.d0.loss_mask: 0.5271, decode.d0.loss_dice: 0.8117, decode.d1.loss_cls: 0.3242, decode.d1.loss_mask: 0.5007, decode.d1.loss_dice: 0.7876, decode.d2.loss_cls: 0.2936, decode.d2.loss_mask: 0.4916, decode.d2.loss_dice: 0.7617, decode.d3.loss_cls: 0.2759, decode.d3.loss_mask: 0.4891, decode.d3.loss_dice: 0.7490, decode.d4.loss_cls: 0.2681, decode.d4.loss_mask: 0.4863, decode.d4.loss_dice: 0.7512, decode.d5.loss_cls: 0.2557, decode.d5.loss_mask: 0.4868, decode.d5.loss_dice: 0.7486, decode.d6.loss_cls: 0.2618, decode.d6.loss_mask: 0.4849, decode.d6.loss_dice: 0.7398, decode.d7.loss_cls: 0.2505, decode.d7.loss_mask: 0.4826, decode.d7.loss_dice: 0.7452, decode.d8.loss_cls: 0.2548, decode.d8.loss_mask: 0.4848, decode.d8.loss_dice: 0.7443, loss: 16.2026, grad_norm: 48.8613 2023-11-12 10:01:01,698 - mmseg - INFO - Iter [80450/160000] lr: 4.972e-05, eta: 11:08:08, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2475, decode.loss_mask: 0.4936, decode.loss_dice: 0.7245, decode.d0.loss_cls: 1.2546, decode.d0.loss_mask: 0.5336, decode.d0.loss_dice: 0.7951, decode.d1.loss_cls: 0.3273, decode.d1.loss_mask: 0.5114, decode.d1.loss_dice: 0.7662, decode.d2.loss_cls: 0.2885, decode.d2.loss_mask: 0.5026, decode.d2.loss_dice: 0.7491, decode.d3.loss_cls: 0.2715, decode.d3.loss_mask: 0.4983, decode.d3.loss_dice: 0.7317, decode.d4.loss_cls: 0.2641, decode.d4.loss_mask: 0.4963, decode.d4.loss_dice: 0.7341, decode.d5.loss_cls: 0.2554, decode.d5.loss_mask: 0.4969, decode.d5.loss_dice: 0.7306, decode.d6.loss_cls: 0.2559, decode.d6.loss_mask: 0.4948, decode.d6.loss_dice: 0.7289, decode.d7.loss_cls: 0.2544, decode.d7.loss_mask: 0.4947, decode.d7.loss_dice: 0.7299, decode.d8.loss_cls: 0.2493, decode.d8.loss_mask: 0.4943, decode.d8.loss_dice: 0.7291, loss: 16.1041, grad_norm: 47.6720 2023-11-12 10:01:25,553 - mmseg - INFO - Iter [80500/160000] lr: 4.969e-05, eta: 11:07:42, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2418, decode.loss_mask: 0.4801, decode.loss_dice: 0.7225, decode.d0.loss_cls: 1.2425, decode.d0.loss_mask: 0.5102, decode.d0.loss_dice: 0.7921, decode.d1.loss_cls: 0.3125, decode.d1.loss_mask: 0.4948, decode.d1.loss_dice: 0.7626, decode.d2.loss_cls: 0.2755, decode.d2.loss_mask: 0.4899, decode.d2.loss_dice: 0.7404, decode.d3.loss_cls: 0.2620, decode.d3.loss_mask: 0.4848, decode.d3.loss_dice: 0.7260, decode.d4.loss_cls: 0.2527, decode.d4.loss_mask: 0.4815, decode.d4.loss_dice: 0.7288, decode.d5.loss_cls: 0.2453, decode.d5.loss_mask: 0.4815, decode.d5.loss_dice: 0.7269, decode.d6.loss_cls: 0.2432, decode.d6.loss_mask: 0.4833, decode.d6.loss_dice: 0.7261, decode.d7.loss_cls: 0.2425, decode.d7.loss_mask: 0.4790, decode.d7.loss_dice: 0.7209, decode.d8.loss_cls: 0.2378, decode.d8.loss_mask: 0.4803, decode.d8.loss_dice: 0.7203, loss: 15.7879, grad_norm: 47.9914 2023-11-12 10:01:49,900 - mmseg - INFO - Iter [80550/160000] lr: 4.966e-05, eta: 11:07:16, time: 0.487, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2226, decode.loss_mask: 0.4885, decode.loss_dice: 0.7199, decode.d0.loss_cls: 1.2122, decode.d0.loss_mask: 0.5267, decode.d0.loss_dice: 0.7738, decode.d1.loss_cls: 0.2935, decode.d1.loss_mask: 0.5017, decode.d1.loss_dice: 0.7559, decode.d2.loss_cls: 0.2598, decode.d2.loss_mask: 0.4922, decode.d2.loss_dice: 0.7356, decode.d3.loss_cls: 0.2384, decode.d3.loss_mask: 0.4918, decode.d3.loss_dice: 0.7247, decode.d4.loss_cls: 0.2329, decode.d4.loss_mask: 0.4899, decode.d4.loss_dice: 0.7203, decode.d5.loss_cls: 0.2257, decode.d5.loss_mask: 0.4895, decode.d5.loss_dice: 0.7171, decode.d6.loss_cls: 0.2302, decode.d6.loss_mask: 0.4895, decode.d6.loss_dice: 0.7153, decode.d7.loss_cls: 0.2334, decode.d7.loss_mask: 0.4886, decode.d7.loss_dice: 0.7137, decode.d8.loss_cls: 0.2218, decode.d8.loss_mask: 0.4884, decode.d8.loss_dice: 0.7143, loss: 15.6079, grad_norm: 45.1156 2023-11-12 10:02:14,025 - mmseg - INFO - Iter [80600/160000] lr: 4.963e-05, eta: 11:06:50, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2299, decode.loss_mask: 0.4833, decode.loss_dice: 0.7224, decode.d0.loss_cls: 1.1925, decode.d0.loss_mask: 0.5177, decode.d0.loss_dice: 0.7847, decode.d1.loss_cls: 0.2860, decode.d1.loss_mask: 0.4982, decode.d1.loss_dice: 0.7606, decode.d2.loss_cls: 0.2590, decode.d2.loss_mask: 0.4894, decode.d2.loss_dice: 0.7410, decode.d3.loss_cls: 0.2452, decode.d3.loss_mask: 0.4826, decode.d3.loss_dice: 0.7234, decode.d4.loss_cls: 0.2396, decode.d4.loss_mask: 0.4811, decode.d4.loss_dice: 0.7200, decode.d5.loss_cls: 0.2379, decode.d5.loss_mask: 0.4827, decode.d5.loss_dice: 0.7241, decode.d6.loss_cls: 0.2308, decode.d6.loss_mask: 0.4828, decode.d6.loss_dice: 0.7235, decode.d7.loss_cls: 0.2367, decode.d7.loss_mask: 0.4828, decode.d7.loss_dice: 0.7201, decode.d8.loss_cls: 0.2292, decode.d8.loss_mask: 0.4827, decode.d8.loss_dice: 0.7208, loss: 15.6108, grad_norm: 45.1019 2023-11-12 10:02:38,358 - mmseg - INFO - Iter [80650/160000] lr: 4.959e-05, eta: 11:06:23, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2213, decode.loss_mask: 0.4954, decode.loss_dice: 0.7395, decode.d0.loss_cls: 1.2059, decode.d0.loss_mask: 0.5329, decode.d0.loss_dice: 0.8038, decode.d1.loss_cls: 0.2958, decode.d1.loss_mask: 0.5124, decode.d1.loss_dice: 0.7769, decode.d2.loss_cls: 0.2546, decode.d2.loss_mask: 0.5056, decode.d2.loss_dice: 0.7604, decode.d3.loss_cls: 0.2367, decode.d3.loss_mask: 0.4987, decode.d3.loss_dice: 0.7439, decode.d4.loss_cls: 0.2295, decode.d4.loss_mask: 0.4983, decode.d4.loss_dice: 0.7434, decode.d5.loss_cls: 0.2254, decode.d5.loss_mask: 0.5007, decode.d5.loss_dice: 0.7378, decode.d6.loss_cls: 0.2284, decode.d6.loss_mask: 0.4967, decode.d6.loss_dice: 0.7377, decode.d7.loss_cls: 0.2206, decode.d7.loss_mask: 0.4972, decode.d7.loss_dice: 0.7390, decode.d8.loss_cls: 0.2244, decode.d8.loss_mask: 0.4973, decode.d8.loss_dice: 0.7408, loss: 15.9009, grad_norm: 49.8182 2023-11-12 10:03:13,702 - mmseg - INFO - Iter [80700/160000] lr: 4.956e-05, eta: 11:06:08, time: 0.707, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2371, decode.loss_mask: 0.4858, decode.loss_dice: 0.7338, decode.d0.loss_cls: 1.2109, decode.d0.loss_mask: 0.5156, decode.d0.loss_dice: 0.8044, decode.d1.loss_cls: 0.3041, decode.d1.loss_mask: 0.4995, decode.d1.loss_dice: 0.7714, decode.d2.loss_cls: 0.2652, decode.d2.loss_mask: 0.4929, decode.d2.loss_dice: 0.7490, decode.d3.loss_cls: 0.2578, decode.d3.loss_mask: 0.4873, decode.d3.loss_dice: 0.7371, decode.d4.loss_cls: 0.2507, decode.d4.loss_mask: 0.4866, decode.d4.loss_dice: 0.7384, decode.d5.loss_cls: 0.2434, decode.d5.loss_mask: 0.4858, decode.d5.loss_dice: 0.7325, decode.d6.loss_cls: 0.2462, decode.d6.loss_mask: 0.4876, decode.d6.loss_dice: 0.7310, decode.d7.loss_cls: 0.2357, decode.d7.loss_mask: 0.4871, decode.d7.loss_dice: 0.7297, decode.d8.loss_cls: 0.2384, decode.d8.loss_mask: 0.4859, decode.d8.loss_dice: 0.7349, loss: 15.8657, grad_norm: 49.1204 2023-11-12 10:03:38,301 - mmseg - INFO - Iter [80750/160000] lr: 4.953e-05, eta: 11:05:42, time: 0.492, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2338, decode.loss_mask: 0.4837, decode.loss_dice: 0.7431, decode.d0.loss_cls: 1.2415, decode.d0.loss_mask: 0.5177, decode.d0.loss_dice: 0.8144, decode.d1.loss_cls: 0.3048, decode.d1.loss_mask: 0.4978, decode.d1.loss_dice: 0.7850, decode.d2.loss_cls: 0.2689, decode.d2.loss_mask: 0.4872, decode.d2.loss_dice: 0.7663, decode.d3.loss_cls: 0.2594, decode.d3.loss_mask: 0.4804, decode.d3.loss_dice: 0.7515, decode.d4.loss_cls: 0.2481, decode.d4.loss_mask: 0.4809, decode.d4.loss_dice: 0.7467, decode.d5.loss_cls: 0.2425, decode.d5.loss_mask: 0.4809, decode.d5.loss_dice: 0.7473, decode.d6.loss_cls: 0.2409, decode.d6.loss_mask: 0.4806, decode.d6.loss_dice: 0.7425, decode.d7.loss_cls: 0.2366, decode.d7.loss_mask: 0.4801, decode.d7.loss_dice: 0.7444, decode.d8.loss_cls: 0.2310, decode.d8.loss_mask: 0.4813, decode.d8.loss_dice: 0.7477, loss: 15.9668, grad_norm: 47.3275 2023-11-12 10:04:02,583 - mmseg - INFO - Iter [80800/160000] lr: 4.950e-05, eta: 11:05:16, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2322, decode.loss_mask: 0.4878, decode.loss_dice: 0.7434, decode.d0.loss_cls: 1.2351, decode.d0.loss_mask: 0.5235, decode.d0.loss_dice: 0.8141, decode.d1.loss_cls: 0.3083, decode.d1.loss_mask: 0.5092, decode.d1.loss_dice: 0.7819, decode.d2.loss_cls: 0.2720, decode.d2.loss_mask: 0.4987, decode.d2.loss_dice: 0.7603, decode.d3.loss_cls: 0.2566, decode.d3.loss_mask: 0.4935, decode.d3.loss_dice: 0.7470, decode.d4.loss_cls: 0.2504, decode.d4.loss_mask: 0.4927, decode.d4.loss_dice: 0.7482, decode.d5.loss_cls: 0.2432, decode.d5.loss_mask: 0.4906, decode.d5.loss_dice: 0.7450, decode.d6.loss_cls: 0.2373, decode.d6.loss_mask: 0.4890, decode.d6.loss_dice: 0.7487, decode.d7.loss_cls: 0.2367, decode.d7.loss_mask: 0.4880, decode.d7.loss_dice: 0.7472, decode.d8.loss_cls: 0.2316, decode.d8.loss_mask: 0.4898, decode.d8.loss_dice: 0.7456, loss: 16.0474, grad_norm: 46.5692 2023-11-12 10:04:29,536 - mmseg - INFO - Iter [80850/160000] lr: 4.947e-05, eta: 11:04:53, time: 0.539, data_time: 0.063, memory: 41146, decode.loss_cls: 0.2247, decode.loss_mask: 0.4752, decode.loss_dice: 0.6950, decode.d0.loss_cls: 1.1933, decode.d0.loss_mask: 0.4979, decode.d0.loss_dice: 0.7506, decode.d1.loss_cls: 0.2927, decode.d1.loss_mask: 0.4861, decode.d1.loss_dice: 0.7279, decode.d2.loss_cls: 0.2631, decode.d2.loss_mask: 0.4756, decode.d2.loss_dice: 0.7112, decode.d3.loss_cls: 0.2453, decode.d3.loss_mask: 0.4724, decode.d3.loss_dice: 0.6983, decode.d4.loss_cls: 0.2348, decode.d4.loss_mask: 0.4759, decode.d4.loss_dice: 0.6937, decode.d5.loss_cls: 0.2318, decode.d5.loss_mask: 0.4738, decode.d5.loss_dice: 0.6935, decode.d6.loss_cls: 0.2313, decode.d6.loss_mask: 0.4719, decode.d6.loss_dice: 0.6919, decode.d7.loss_cls: 0.2237, decode.d7.loss_mask: 0.4728, decode.d7.loss_dice: 0.6929, decode.d8.loss_cls: 0.2271, decode.d8.loss_mask: 0.4736, decode.d8.loss_dice: 0.6891, loss: 15.1871, grad_norm: 47.4958 2023-11-12 10:04:53,318 - mmseg - INFO - Iter [80900/160000] lr: 4.944e-05, eta: 11:04:26, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2253, decode.loss_mask: 0.4769, decode.loss_dice: 0.7101, decode.d0.loss_cls: 1.2159, decode.d0.loss_mask: 0.5105, decode.d0.loss_dice: 0.7737, decode.d1.loss_cls: 0.2833, decode.d1.loss_mask: 0.4958, decode.d1.loss_dice: 0.7448, decode.d2.loss_cls: 0.2485, decode.d2.loss_mask: 0.4856, decode.d2.loss_dice: 0.7312, decode.d3.loss_cls: 0.2434, decode.d3.loss_mask: 0.4812, decode.d3.loss_dice: 0.7154, decode.d4.loss_cls: 0.2295, decode.d4.loss_mask: 0.4790, decode.d4.loss_dice: 0.7128, decode.d5.loss_cls: 0.2276, decode.d5.loss_mask: 0.4789, decode.d5.loss_dice: 0.7221, decode.d6.loss_cls: 0.2306, decode.d6.loss_mask: 0.4786, decode.d6.loss_dice: 0.7092, decode.d7.loss_cls: 0.2202, decode.d7.loss_mask: 0.4773, decode.d7.loss_dice: 0.7127, decode.d8.loss_cls: 0.2226, decode.d8.loss_mask: 0.4776, decode.d8.loss_dice: 0.7112, loss: 15.4317, grad_norm: 49.7884 2023-11-12 10:05:17,033 - mmseg - INFO - Iter [80950/160000] lr: 4.941e-05, eta: 11:04:00, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2243, decode.loss_mask: 0.4677, decode.loss_dice: 0.7144, decode.d0.loss_cls: 1.2055, decode.d0.loss_mask: 0.4981, decode.d0.loss_dice: 0.7749, decode.d1.loss_cls: 0.2993, decode.d1.loss_mask: 0.4800, decode.d1.loss_dice: 0.7406, decode.d2.loss_cls: 0.2674, decode.d2.loss_mask: 0.4750, decode.d2.loss_dice: 0.7253, decode.d3.loss_cls: 0.2469, decode.d3.loss_mask: 0.4718, decode.d3.loss_dice: 0.7151, decode.d4.loss_cls: 0.2427, decode.d4.loss_mask: 0.4719, decode.d4.loss_dice: 0.7169, decode.d5.loss_cls: 0.2347, decode.d5.loss_mask: 0.4702, decode.d5.loss_dice: 0.7185, decode.d6.loss_cls: 0.2349, decode.d6.loss_mask: 0.4693, decode.d6.loss_dice: 0.7144, decode.d7.loss_cls: 0.2271, decode.d7.loss_mask: 0.4687, decode.d7.loss_dice: 0.7147, decode.d8.loss_cls: 0.2298, decode.d8.loss_mask: 0.4685, decode.d8.loss_dice: 0.7157, loss: 15.4043, grad_norm: 46.4719 2023-11-12 10:05:48,156 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 10:05:48,156 - mmseg - INFO - Iter [81000/160000] lr: 4.938e-05, eta: 11:03:40, time: 0.622, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2164, decode.loss_mask: 0.4925, decode.loss_dice: 0.7151, decode.d0.loss_cls: 1.2052, decode.d0.loss_mask: 0.5291, decode.d0.loss_dice: 0.7927, decode.d1.loss_cls: 0.2905, decode.d1.loss_mask: 0.5061, decode.d1.loss_dice: 0.7491, decode.d2.loss_cls: 0.2546, decode.d2.loss_mask: 0.4963, decode.d2.loss_dice: 0.7327, decode.d3.loss_cls: 0.2392, decode.d3.loss_mask: 0.4922, decode.d3.loss_dice: 0.7200, decode.d4.loss_cls: 0.2290, decode.d4.loss_mask: 0.4927, decode.d4.loss_dice: 0.7212, decode.d5.loss_cls: 0.2222, decode.d5.loss_mask: 0.4944, decode.d5.loss_dice: 0.7233, decode.d6.loss_cls: 0.2173, decode.d6.loss_mask: 0.4936, decode.d6.loss_dice: 0.7145, decode.d7.loss_cls: 0.2157, decode.d7.loss_mask: 0.4914, decode.d7.loss_dice: 0.7182, decode.d8.loss_cls: 0.2189, decode.d8.loss_mask: 0.4915, decode.d8.loss_dice: 0.7148, loss: 15.5906, grad_norm: 52.7647 2023-11-12 10:06:18,044 - mmseg - INFO - Iter [81050/160000] lr: 4.934e-05, eta: 11:03:20, time: 0.598, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2298, decode.loss_mask: 0.4656, decode.loss_dice: 0.7182, decode.d0.loss_cls: 1.2459, decode.d0.loss_mask: 0.4963, decode.d0.loss_dice: 0.7762, decode.d1.loss_cls: 0.2970, decode.d1.loss_mask: 0.4792, decode.d1.loss_dice: 0.7593, decode.d2.loss_cls: 0.2652, decode.d2.loss_mask: 0.4728, decode.d2.loss_dice: 0.7374, decode.d3.loss_cls: 0.2485, decode.d3.loss_mask: 0.4700, decode.d3.loss_dice: 0.7268, decode.d4.loss_cls: 0.2451, decode.d4.loss_mask: 0.4678, decode.d4.loss_dice: 0.7250, decode.d5.loss_cls: 0.2403, decode.d5.loss_mask: 0.4667, decode.d5.loss_dice: 0.7216, decode.d6.loss_cls: 0.2372, decode.d6.loss_mask: 0.4638, decode.d6.loss_dice: 0.7164, decode.d7.loss_cls: 0.2320, decode.d7.loss_mask: 0.4645, decode.d7.loss_dice: 0.7184, decode.d8.loss_cls: 0.2299, decode.d8.loss_mask: 0.4647, decode.d8.loss_dice: 0.7219, loss: 15.5036, grad_norm: 46.7683 2023-11-12 10:06:42,473 - mmseg - INFO - Iter [81100/160000] lr: 4.931e-05, eta: 11:02:54, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2336, decode.loss_mask: 0.4711, decode.loss_dice: 0.6971, decode.d0.loss_cls: 1.2316, decode.d0.loss_mask: 0.5020, decode.d0.loss_dice: 0.7606, decode.d1.loss_cls: 0.2969, decode.d1.loss_mask: 0.4897, decode.d1.loss_dice: 0.7393, decode.d2.loss_cls: 0.2619, decode.d2.loss_mask: 0.4785, decode.d2.loss_dice: 0.7178, decode.d3.loss_cls: 0.2504, decode.d3.loss_mask: 0.4729, decode.d3.loss_dice: 0.7014, decode.d4.loss_cls: 0.2438, decode.d4.loss_mask: 0.4715, decode.d4.loss_dice: 0.7026, decode.d5.loss_cls: 0.2446, decode.d5.loss_mask: 0.4688, decode.d5.loss_dice: 0.6997, decode.d6.loss_cls: 0.2370, decode.d6.loss_mask: 0.4703, decode.d6.loss_dice: 0.6928, decode.d7.loss_cls: 0.2348, decode.d7.loss_mask: 0.4704, decode.d7.loss_dice: 0.6939, decode.d8.loss_cls: 0.2377, decode.d8.loss_mask: 0.4676, decode.d8.loss_dice: 0.6947, loss: 15.3350, grad_norm: 49.9462 2023-11-12 10:07:06,692 - mmseg - INFO - Iter [81150/160000] lr: 4.928e-05, eta: 11:02:27, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2304, decode.loss_mask: 0.4841, decode.loss_dice: 0.7059, decode.d0.loss_cls: 1.2197, decode.d0.loss_mask: 0.5158, decode.d0.loss_dice: 0.7766, decode.d1.loss_cls: 0.3062, decode.d1.loss_mask: 0.4987, decode.d1.loss_dice: 0.7424, decode.d2.loss_cls: 0.2603, decode.d2.loss_mask: 0.4905, decode.d2.loss_dice: 0.7281, decode.d3.loss_cls: 0.2501, decode.d3.loss_mask: 0.4853, decode.d3.loss_dice: 0.7149, decode.d4.loss_cls: 0.2393, decode.d4.loss_mask: 0.4852, decode.d4.loss_dice: 0.7131, decode.d5.loss_cls: 0.2395, decode.d5.loss_mask: 0.4849, decode.d5.loss_dice: 0.7132, decode.d6.loss_cls: 0.2321, decode.d6.loss_mask: 0.4872, decode.d6.loss_dice: 0.7101, decode.d7.loss_cls: 0.2289, decode.d7.loss_mask: 0.4872, decode.d7.loss_dice: 0.7124, decode.d8.loss_cls: 0.2316, decode.d8.loss_mask: 0.4861, decode.d8.loss_dice: 0.7093, loss: 15.5691, grad_norm: 52.1214 2023-11-12 10:07:31,108 - mmseg - INFO - Iter [81200/160000] lr: 4.925e-05, eta: 11:02:01, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2263, decode.loss_mask: 0.4911, decode.loss_dice: 0.7238, decode.d0.loss_cls: 1.1975, decode.d0.loss_mask: 0.5281, decode.d0.loss_dice: 0.7928, decode.d1.loss_cls: 0.3136, decode.d1.loss_mask: 0.5009, decode.d1.loss_dice: 0.7580, decode.d2.loss_cls: 0.2608, decode.d2.loss_mask: 0.4959, decode.d2.loss_dice: 0.7379, decode.d3.loss_cls: 0.2469, decode.d3.loss_mask: 0.4908, decode.d3.loss_dice: 0.7265, decode.d4.loss_cls: 0.2394, decode.d4.loss_mask: 0.4899, decode.d4.loss_dice: 0.7284, decode.d5.loss_cls: 0.2354, decode.d5.loss_mask: 0.4904, decode.d5.loss_dice: 0.7250, decode.d6.loss_cls: 0.2346, decode.d6.loss_mask: 0.4894, decode.d6.loss_dice: 0.7193, decode.d7.loss_cls: 0.2331, decode.d7.loss_mask: 0.4892, decode.d7.loss_dice: 0.7213, decode.d8.loss_cls: 0.2281, decode.d8.loss_mask: 0.4923, decode.d8.loss_dice: 0.7234, loss: 15.7299, grad_norm: 49.5947 2023-11-12 10:07:55,874 - mmseg - INFO - Iter [81250/160000] lr: 4.922e-05, eta: 11:01:36, time: 0.495, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2530, decode.loss_mask: 0.4733, decode.loss_dice: 0.7350, decode.d0.loss_cls: 1.2678, decode.d0.loss_mask: 0.5076, decode.d0.loss_dice: 0.8149, decode.d1.loss_cls: 0.3273, decode.d1.loss_mask: 0.4904, decode.d1.loss_dice: 0.7807, decode.d2.loss_cls: 0.2818, decode.d2.loss_mask: 0.4827, decode.d2.loss_dice: 0.7599, decode.d3.loss_cls: 0.2643, decode.d3.loss_mask: 0.4779, decode.d3.loss_dice: 0.7445, decode.d4.loss_cls: 0.2594, decode.d4.loss_mask: 0.4762, decode.d4.loss_dice: 0.7431, decode.d5.loss_cls: 0.2561, decode.d5.loss_mask: 0.4749, decode.d5.loss_dice: 0.7422, decode.d6.loss_cls: 0.2533, decode.d6.loss_mask: 0.4748, decode.d6.loss_dice: 0.7426, decode.d7.loss_cls: 0.2523, decode.d7.loss_mask: 0.4763, decode.d7.loss_dice: 0.7406, decode.d8.loss_cls: 0.2555, decode.d8.loss_mask: 0.4732, decode.d8.loss_dice: 0.7391, loss: 16.0208, grad_norm: 47.0209 2023-11-12 10:08:19,625 - mmseg - INFO - Iter [81300/160000] lr: 4.919e-05, eta: 11:01:09, time: 0.475, data_time: 0.011, memory: 41146, decode.loss_cls: 0.2220, decode.loss_mask: 0.4705, decode.loss_dice: 0.6894, decode.d0.loss_cls: 1.1753, decode.d0.loss_mask: 0.5092, decode.d0.loss_dice: 0.7513, decode.d1.loss_cls: 0.2839, decode.d1.loss_mask: 0.4872, decode.d1.loss_dice: 0.7235, decode.d2.loss_cls: 0.2480, decode.d2.loss_mask: 0.4808, decode.d2.loss_dice: 0.7057, decode.d3.loss_cls: 0.2358, decode.d3.loss_mask: 0.4754, decode.d3.loss_dice: 0.6921, decode.d4.loss_cls: 0.2284, decode.d4.loss_mask: 0.4742, decode.d4.loss_dice: 0.6963, decode.d5.loss_cls: 0.2346, decode.d5.loss_mask: 0.4723, decode.d5.loss_dice: 0.6885, decode.d6.loss_cls: 0.2211, decode.d6.loss_mask: 0.4743, decode.d6.loss_dice: 0.6876, decode.d7.loss_cls: 0.2241, decode.d7.loss_mask: 0.4719, decode.d7.loss_dice: 0.6916, decode.d8.loss_cls: 0.2186, decode.d8.loss_mask: 0.4710, decode.d8.loss_dice: 0.6901, loss: 15.0946, grad_norm: 46.5186 2023-11-12 10:08:43,344 - mmseg - INFO - Iter [81350/160000] lr: 4.916e-05, eta: 11:00:43, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2140, decode.loss_mask: 0.4676, decode.loss_dice: 0.7118, decode.d0.loss_cls: 1.2285, decode.d0.loss_mask: 0.4947, decode.d0.loss_dice: 0.7713, decode.d1.loss_cls: 0.2850, decode.d1.loss_mask: 0.4819, decode.d1.loss_dice: 0.7481, decode.d2.loss_cls: 0.2419, decode.d2.loss_mask: 0.4722, decode.d2.loss_dice: 0.7322, decode.d3.loss_cls: 0.2276, decode.d3.loss_mask: 0.4693, decode.d3.loss_dice: 0.7168, decode.d4.loss_cls: 0.2206, decode.d4.loss_mask: 0.4693, decode.d4.loss_dice: 0.7153, decode.d5.loss_cls: 0.2172, decode.d5.loss_mask: 0.4684, decode.d5.loss_dice: 0.7134, decode.d6.loss_cls: 0.2202, decode.d6.loss_mask: 0.4681, decode.d6.loss_dice: 0.7108, decode.d7.loss_cls: 0.2146, decode.d7.loss_mask: 0.4692, decode.d7.loss_dice: 0.7139, decode.d8.loss_cls: 0.2112, decode.d8.loss_mask: 0.4683, decode.d8.loss_dice: 0.7130, loss: 15.2565, grad_norm: 45.0258 2023-11-12 10:09:07,220 - mmseg - INFO - Iter [81400/160000] lr: 4.913e-05, eta: 11:00:16, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2282, decode.loss_mask: 0.4847, decode.loss_dice: 0.7133, decode.d0.loss_cls: 1.2053, decode.d0.loss_mask: 0.5193, decode.d0.loss_dice: 0.7757, decode.d1.loss_cls: 0.2938, decode.d1.loss_mask: 0.4982, decode.d1.loss_dice: 0.7523, decode.d2.loss_cls: 0.2592, decode.d2.loss_mask: 0.4940, decode.d2.loss_dice: 0.7300, decode.d3.loss_cls: 0.2470, decode.d3.loss_mask: 0.4889, decode.d3.loss_dice: 0.7214, decode.d4.loss_cls: 0.2373, decode.d4.loss_mask: 0.4889, decode.d4.loss_dice: 0.7193, decode.d5.loss_cls: 0.2369, decode.d5.loss_mask: 0.4875, decode.d5.loss_dice: 0.7131, decode.d6.loss_cls: 0.2365, decode.d6.loss_mask: 0.4878, decode.d6.loss_dice: 0.7132, decode.d7.loss_cls: 0.2286, decode.d7.loss_mask: 0.4858, decode.d7.loss_dice: 0.7148, decode.d8.loss_cls: 0.2264, decode.d8.loss_mask: 0.4866, decode.d8.loss_dice: 0.7169, loss: 15.5908, grad_norm: 46.4217 2023-11-12 10:09:31,172 - mmseg - INFO - Iter [81450/160000] lr: 4.909e-05, eta: 10:59:50, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2246, decode.loss_mask: 0.4897, decode.loss_dice: 0.7202, decode.d0.loss_cls: 1.2072, decode.d0.loss_mask: 0.5164, decode.d0.loss_dice: 0.7794, decode.d1.loss_cls: 0.2895, decode.d1.loss_mask: 0.5068, decode.d1.loss_dice: 0.7562, decode.d2.loss_cls: 0.2544, decode.d2.loss_mask: 0.4947, decode.d2.loss_dice: 0.7413, decode.d3.loss_cls: 0.2415, decode.d3.loss_mask: 0.4918, decode.d3.loss_dice: 0.7226, decode.d4.loss_cls: 0.2339, decode.d4.loss_mask: 0.4913, decode.d4.loss_dice: 0.7209, decode.d5.loss_cls: 0.2283, decode.d5.loss_mask: 0.4898, decode.d5.loss_dice: 0.7239, decode.d6.loss_cls: 0.2283, decode.d6.loss_mask: 0.4896, decode.d6.loss_dice: 0.7156, decode.d7.loss_cls: 0.2267, decode.d7.loss_mask: 0.4882, decode.d7.loss_dice: 0.7181, decode.d8.loss_cls: 0.2234, decode.d8.loss_mask: 0.4888, decode.d8.loss_dice: 0.7208, loss: 15.6241, grad_norm: 50.0545 2023-11-12 10:09:55,164 - mmseg - INFO - Iter [81500/160000] lr: 4.906e-05, eta: 10:59:23, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2426, decode.loss_mask: 0.4905, decode.loss_dice: 0.7481, decode.d0.loss_cls: 1.2342, decode.d0.loss_mask: 0.5203, decode.d0.loss_dice: 0.8140, decode.d1.loss_cls: 0.3115, decode.d1.loss_mask: 0.5047, decode.d1.loss_dice: 0.7859, decode.d2.loss_cls: 0.2773, decode.d2.loss_mask: 0.4953, decode.d2.loss_dice: 0.7622, decode.d3.loss_cls: 0.2619, decode.d3.loss_mask: 0.4914, decode.d3.loss_dice: 0.7504, decode.d4.loss_cls: 0.2526, decode.d4.loss_mask: 0.4917, decode.d4.loss_dice: 0.7506, decode.d5.loss_cls: 0.2512, decode.d5.loss_mask: 0.4894, decode.d5.loss_dice: 0.7503, decode.d6.loss_cls: 0.2424, decode.d6.loss_mask: 0.4925, decode.d6.loss_dice: 0.7441, decode.d7.loss_cls: 0.2432, decode.d7.loss_mask: 0.4911, decode.d7.loss_dice: 0.7497, decode.d8.loss_cls: 0.2372, decode.d8.loss_mask: 0.4903, decode.d8.loss_dice: 0.7479, loss: 16.1145, grad_norm: 48.6409 2023-11-12 10:10:19,023 - mmseg - INFO - Iter [81550/160000] lr: 4.903e-05, eta: 10:58:57, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2300, decode.loss_mask: 0.4818, decode.loss_dice: 0.7227, decode.d0.loss_cls: 1.2036, decode.d0.loss_mask: 0.5193, decode.d0.loss_dice: 0.7873, decode.d1.loss_cls: 0.2999, decode.d1.loss_mask: 0.4989, decode.d1.loss_dice: 0.7579, decode.d2.loss_cls: 0.2664, decode.d2.loss_mask: 0.4884, decode.d2.loss_dice: 0.7393, decode.d3.loss_cls: 0.2475, decode.d3.loss_mask: 0.4854, decode.d3.loss_dice: 0.7324, decode.d4.loss_cls: 0.2417, decode.d4.loss_mask: 0.4848, decode.d4.loss_dice: 0.7294, decode.d5.loss_cls: 0.2360, decode.d5.loss_mask: 0.4822, decode.d5.loss_dice: 0.7299, decode.d6.loss_cls: 0.2348, decode.d6.loss_mask: 0.4834, decode.d6.loss_dice: 0.7216, decode.d7.loss_cls: 0.2314, decode.d7.loss_mask: 0.4823, decode.d7.loss_dice: 0.7259, decode.d8.loss_cls: 0.2319, decode.d8.loss_mask: 0.4800, decode.d8.loss_dice: 0.7255, loss: 15.6814, grad_norm: 49.3110 2023-11-12 10:10:42,845 - mmseg - INFO - Iter [81600/160000] lr: 4.900e-05, eta: 10:58:30, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2241, decode.loss_mask: 0.4951, decode.loss_dice: 0.7247, decode.d0.loss_cls: 1.2118, decode.d0.loss_mask: 0.5352, decode.d0.loss_dice: 0.7930, decode.d1.loss_cls: 0.2994, decode.d1.loss_mask: 0.5101, decode.d1.loss_dice: 0.7553, decode.d2.loss_cls: 0.2561, decode.d2.loss_mask: 0.5029, decode.d2.loss_dice: 0.7382, decode.d3.loss_cls: 0.2475, decode.d3.loss_mask: 0.4982, decode.d3.loss_dice: 0.7257, decode.d4.loss_cls: 0.2332, decode.d4.loss_mask: 0.4969, decode.d4.loss_dice: 0.7282, decode.d5.loss_cls: 0.2314, decode.d5.loss_mask: 0.4955, decode.d5.loss_dice: 0.7232, decode.d6.loss_cls: 0.2289, decode.d6.loss_mask: 0.4945, decode.d6.loss_dice: 0.7232, decode.d7.loss_cls: 0.2276, decode.d7.loss_mask: 0.4946, decode.d7.loss_dice: 0.7190, decode.d8.loss_cls: 0.2256, decode.d8.loss_mask: 0.4944, decode.d8.loss_dice: 0.7218, loss: 15.7554, grad_norm: 46.6041 2023-11-12 10:11:06,817 - mmseg - INFO - Iter [81650/160000] lr: 4.897e-05, eta: 10:58:04, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2259, decode.loss_mask: 0.4847, decode.loss_dice: 0.7137, decode.d0.loss_cls: 1.2317, decode.d0.loss_mask: 0.5170, decode.d0.loss_dice: 0.7830, decode.d1.loss_cls: 0.2977, decode.d1.loss_mask: 0.4960, decode.d1.loss_dice: 0.7494, decode.d2.loss_cls: 0.2604, decode.d2.loss_mask: 0.4911, decode.d2.loss_dice: 0.7255, decode.d3.loss_cls: 0.2472, decode.d3.loss_mask: 0.4827, decode.d3.loss_dice: 0.7160, decode.d4.loss_cls: 0.2370, decode.d4.loss_mask: 0.4823, decode.d4.loss_dice: 0.7180, decode.d5.loss_cls: 0.2311, decode.d5.loss_mask: 0.4824, decode.d5.loss_dice: 0.7165, decode.d6.loss_cls: 0.2315, decode.d6.loss_mask: 0.4820, decode.d6.loss_dice: 0.7130, decode.d7.loss_cls: 0.2300, decode.d7.loss_mask: 0.4824, decode.d7.loss_dice: 0.7142, decode.d8.loss_cls: 0.2269, decode.d8.loss_mask: 0.4837, decode.d8.loss_dice: 0.7133, loss: 15.5662, grad_norm: 46.7806 2023-11-12 10:11:30,872 - mmseg - INFO - Iter [81700/160000] lr: 4.894e-05, eta: 10:57:38, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2276, decode.loss_mask: 0.4555, decode.loss_dice: 0.7220, decode.d0.loss_cls: 1.2658, decode.d0.loss_mask: 0.4917, decode.d0.loss_dice: 0.7902, decode.d1.loss_cls: 0.2990, decode.d1.loss_mask: 0.4719, decode.d1.loss_dice: 0.7575, decode.d2.loss_cls: 0.2566, decode.d2.loss_mask: 0.4644, decode.d2.loss_dice: 0.7387, decode.d3.loss_cls: 0.2501, decode.d3.loss_mask: 0.4585, decode.d3.loss_dice: 0.7205, decode.d4.loss_cls: 0.2373, decode.d4.loss_mask: 0.4578, decode.d4.loss_dice: 0.7245, decode.d5.loss_cls: 0.2374, decode.d5.loss_mask: 0.4579, decode.d5.loss_dice: 0.7206, decode.d6.loss_cls: 0.2381, decode.d6.loss_mask: 0.4563, decode.d6.loss_dice: 0.7240, decode.d7.loss_cls: 0.2324, decode.d7.loss_mask: 0.4566, decode.d7.loss_dice: 0.7241, decode.d8.loss_cls: 0.2299, decode.d8.loss_mask: 0.4560, decode.d8.loss_dice: 0.7235, loss: 15.4464, grad_norm: 47.0035 2023-11-12 10:11:54,740 - mmseg - INFO - Iter [81750/160000] lr: 4.891e-05, eta: 10:57:11, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2417, decode.loss_mask: 0.4833, decode.loss_dice: 0.7159, decode.d0.loss_cls: 1.2425, decode.d0.loss_mask: 0.5175, decode.d0.loss_dice: 0.7834, decode.d1.loss_cls: 0.3125, decode.d1.loss_mask: 0.5004, decode.d1.loss_dice: 0.7607, decode.d2.loss_cls: 0.2677, decode.d2.loss_mask: 0.4929, decode.d2.loss_dice: 0.7422, decode.d3.loss_cls: 0.2561, decode.d3.loss_mask: 0.4852, decode.d3.loss_dice: 0.7224, decode.d4.loss_cls: 0.2481, decode.d4.loss_mask: 0.4864, decode.d4.loss_dice: 0.7252, decode.d5.loss_cls: 0.2466, decode.d5.loss_mask: 0.4856, decode.d5.loss_dice: 0.7259, decode.d6.loss_cls: 0.2440, decode.d6.loss_mask: 0.4829, decode.d6.loss_dice: 0.7175, decode.d7.loss_cls: 0.2431, decode.d7.loss_mask: 0.4834, decode.d7.loss_dice: 0.7168, decode.d8.loss_cls: 0.2381, decode.d8.loss_mask: 0.4833, decode.d8.loss_dice: 0.7192, loss: 15.7706, grad_norm: 46.6164 2023-11-12 10:12:18,681 - mmseg - INFO - Iter [81800/160000] lr: 4.888e-05, eta: 10:56:45, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2412, decode.loss_mask: 0.4833, decode.loss_dice: 0.7117, decode.d0.loss_cls: 1.2198, decode.d0.loss_mask: 0.5163, decode.d0.loss_dice: 0.7907, decode.d1.loss_cls: 0.3128, decode.d1.loss_mask: 0.5007, decode.d1.loss_dice: 0.7592, decode.d2.loss_cls: 0.2747, decode.d2.loss_mask: 0.4921, decode.d2.loss_dice: 0.7369, decode.d3.loss_cls: 0.2645, decode.d3.loss_mask: 0.4869, decode.d3.loss_dice: 0.7177, decode.d4.loss_cls: 0.2532, decode.d4.loss_mask: 0.4855, decode.d4.loss_dice: 0.7231, decode.d5.loss_cls: 0.2511, decode.d5.loss_mask: 0.4851, decode.d5.loss_dice: 0.7205, decode.d6.loss_cls: 0.2492, decode.d6.loss_mask: 0.4823, decode.d6.loss_dice: 0.7092, decode.d7.loss_cls: 0.2415, decode.d7.loss_mask: 0.4833, decode.d7.loss_dice: 0.7167, decode.d8.loss_cls: 0.2435, decode.d8.loss_mask: 0.4819, decode.d8.loss_dice: 0.7124, loss: 15.7466, grad_norm: 47.7572 2023-11-12 10:12:42,462 - mmseg - INFO - Iter [81850/160000] lr: 4.884e-05, eta: 10:56:18, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2466, decode.loss_mask: 0.4918, decode.loss_dice: 0.7352, decode.d0.loss_cls: 1.2247, decode.d0.loss_mask: 0.5278, decode.d0.loss_dice: 0.8077, decode.d1.loss_cls: 0.3293, decode.d1.loss_mask: 0.5051, decode.d1.loss_dice: 0.7796, decode.d2.loss_cls: 0.2928, decode.d2.loss_mask: 0.4967, decode.d2.loss_dice: 0.7539, decode.d3.loss_cls: 0.2766, decode.d3.loss_mask: 0.4919, decode.d3.loss_dice: 0.7428, decode.d4.loss_cls: 0.2637, decode.d4.loss_mask: 0.4928, decode.d4.loss_dice: 0.7447, decode.d5.loss_cls: 0.2595, decode.d5.loss_mask: 0.4918, decode.d5.loss_dice: 0.7420, decode.d6.loss_cls: 0.2561, decode.d6.loss_mask: 0.4930, decode.d6.loss_dice: 0.7388, decode.d7.loss_cls: 0.2485, decode.d7.loss_mask: 0.4924, decode.d7.loss_dice: 0.7412, decode.d8.loss_cls: 0.2498, decode.d8.loss_mask: 0.4909, decode.d8.loss_dice: 0.7367, loss: 16.1444, grad_norm: 46.8653 2023-11-12 10:13:06,470 - mmseg - INFO - Iter [81900/160000] lr: 4.881e-05, eta: 10:55:52, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2411, decode.loss_mask: 0.4941, decode.loss_dice: 0.7354, decode.d0.loss_cls: 1.2385, decode.d0.loss_mask: 0.5349, decode.d0.loss_dice: 0.7991, decode.d1.loss_cls: 0.3216, decode.d1.loss_mask: 0.5104, decode.d1.loss_dice: 0.7767, decode.d2.loss_cls: 0.2860, decode.d2.loss_mask: 0.5012, decode.d2.loss_dice: 0.7510, decode.d3.loss_cls: 0.2675, decode.d3.loss_mask: 0.4978, decode.d3.loss_dice: 0.7423, decode.d4.loss_cls: 0.2578, decode.d4.loss_mask: 0.4971, decode.d4.loss_dice: 0.7410, decode.d5.loss_cls: 0.2507, decode.d5.loss_mask: 0.4982, decode.d5.loss_dice: 0.7410, decode.d6.loss_cls: 0.2475, decode.d6.loss_mask: 0.4951, decode.d6.loss_dice: 0.7313, decode.d7.loss_cls: 0.2447, decode.d7.loss_mask: 0.4969, decode.d7.loss_dice: 0.7368, decode.d8.loss_cls: 0.2452, decode.d8.loss_mask: 0.4964, decode.d8.loss_dice: 0.7387, loss: 16.1160, grad_norm: 44.6415 2023-11-12 10:13:30,239 - mmseg - INFO - Iter [81950/160000] lr: 4.878e-05, eta: 10:55:25, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2489, decode.loss_mask: 0.4807, decode.loss_dice: 0.7437, decode.d0.loss_cls: 1.2329, decode.d0.loss_mask: 0.5098, decode.d0.loss_dice: 0.8059, decode.d1.loss_cls: 0.3271, decode.d1.loss_mask: 0.4888, decode.d1.loss_dice: 0.7759, decode.d2.loss_cls: 0.2879, decode.d2.loss_mask: 0.4823, decode.d2.loss_dice: 0.7633, decode.d3.loss_cls: 0.2681, decode.d3.loss_mask: 0.4797, decode.d3.loss_dice: 0.7520, decode.d4.loss_cls: 0.2621, decode.d4.loss_mask: 0.4810, decode.d4.loss_dice: 0.7463, decode.d5.loss_cls: 0.2561, decode.d5.loss_mask: 0.4797, decode.d5.loss_dice: 0.7427, decode.d6.loss_cls: 0.2514, decode.d6.loss_mask: 0.4804, decode.d6.loss_dice: 0.7428, decode.d7.loss_cls: 0.2490, decode.d7.loss_mask: 0.4801, decode.d7.loss_dice: 0.7440, decode.d8.loss_cls: 0.2445, decode.d8.loss_mask: 0.4817, decode.d8.loss_dice: 0.7505, loss: 16.0394, grad_norm: 47.0560 2023-11-12 10:13:54,046 - mmseg - INFO - Saving checkpoint at 82000 iterations 2023-11-12 10:13:57,952 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 10:13:57,952 - mmseg - INFO - Iter [82000/160000] lr: 4.875e-05, eta: 10:55:03, time: 0.554, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2464, decode.loss_mask: 0.4831, decode.loss_dice: 0.7404, decode.d0.loss_cls: 1.2336, decode.d0.loss_mask: 0.5195, decode.d0.loss_dice: 0.7928, decode.d1.loss_cls: 0.3241, decode.d1.loss_mask: 0.4999, decode.d1.loss_dice: 0.7756, decode.d2.loss_cls: 0.2759, decode.d2.loss_mask: 0.4894, decode.d2.loss_dice: 0.7542, decode.d3.loss_cls: 0.2647, decode.d3.loss_mask: 0.4851, decode.d3.loss_dice: 0.7367, decode.d4.loss_cls: 0.2584, decode.d4.loss_mask: 0.4856, decode.d4.loss_dice: 0.7419, decode.d5.loss_cls: 0.2607, decode.d5.loss_mask: 0.4815, decode.d5.loss_dice: 0.7332, decode.d6.loss_cls: 0.2535, decode.d6.loss_mask: 0.4822, decode.d6.loss_dice: 0.7339, decode.d7.loss_cls: 0.2492, decode.d7.loss_mask: 0.4824, decode.d7.loss_dice: 0.7358, decode.d8.loss_cls: 0.2484, decode.d8.loss_mask: 0.4824, decode.d8.loss_dice: 0.7363, loss: 15.9869, grad_norm: 45.5723 2023-11-12 10:14:16,754 - mmseg - INFO - per class results: 2023-11-12 10:14:16,759 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.2 | 89.06 | | building | 82.94 | 90.84 | | sky | 94.59 | 97.04 | | floor | 83.29 | 90.41 | | tree | 75.4 | 88.07 | | ceiling | 85.24 | 91.78 | | road | 85.89 | 91.95 | | bed | 91.36 | 95.73 | | windowpane | 61.79 | 77.98 | | grass | 63.28 | 70.47 | | cabinet | 64.42 | 78.21 | | sidewalk | 69.22 | 81.59 | | person | 84.96 | 92.47 | | earth | 35.96 | 63.17 | | door | 51.38 | 62.87 | | table | 65.46 | 78.2 | | mountain | 64.61 | 73.01 | | plant | 52.88 | 69.72 | | curtain | 78.77 | 88.31 | | chair | 61.79 | 75.82 | | car | 85.04 | 92.51 | | water | 53.52 | 70.21 | | painting | 75.82 | 88.26 | | sofa | 71.17 | 83.72 | | shelf | 46.56 | 63.39 | | house | 41.93 | 72.46 | | sea | 66.15 | 89.84 | | mirror | 69.67 | 76.15 | | rug | 65.91 | 78.12 | | field | 36.38 | 51.11 | | armchair | 50.75 | 70.99 | | seat | 65.61 | 81.59 | | fence | 49.44 | 65.48 | | desk | 52.14 | 72.79 | | rock | 52.1 | 77.54 | | wardrobe | 44.71 | 62.66 | | lamp | 69.46 | 83.27 | | bathtub | 72.18 | 85.67 | | railing | 36.82 | 52.7 | | cushion | 62.93 | 74.91 | | base | 34.0 | 57.93 | | box | 26.73 | 39.8 | | column | 33.15 | 43.18 | | signboard | 36.12 | 56.68 | | chest of drawers | 38.67 | 55.09 | | counter | 23.18 | 26.84 | | sand | 38.41 | 45.66 | | sink | 78.82 | 84.56 | | skyscraper | 37.08 | 41.76 | | fireplace | 75.14 | 91.06 | | refrigerator | 73.92 | 83.38 | | grandstand | 43.58 | 70.8 | | path | 30.59 | 43.09 | | stairs | 33.84 | 46.03 | | runway | 66.28 | 67.62 | | case | 66.38 | 80.8 | | pool table | 93.67 | 96.03 | | pillow | 61.02 | 75.74 | | screen door | 66.12 | 82.39 | | stairway | 35.17 | 40.79 | | river | 8.52 | 14.19 | | bridge | 71.78 | 90.14 | | bookcase | 37.96 | 61.74 | | blind | 46.05 | 59.81 | | coffee table | 65.23 | 86.05 | | toilet | 88.53 | 91.36 | | flower | 44.54 | 57.05 | | book | 51.47 | 76.64 | | hill | 11.14 | 21.41 | | bench | 61.05 | 78.24 | | countertop | 62.97 | 70.14 | | stove | 81.09 | 88.3 | | palm | 52.12 | 65.62 | | kitchen island | 47.84 | 81.1 | | computer | 72.58 | 78.39 | | swivel chair | 32.91 | 49.83 | | boat | 44.81 | 54.85 | | bar | 49.2 | 63.28 | | arcade machine | 70.44 | 74.36 | | hovel | 10.65 | 15.83 | | bus | 94.44 | 96.75 | | towel | 72.49 | 81.08 | | light | 60.16 | 76.93 | | truck | 31.46 | 56.61 | | tower | 20.16 | 33.91 | | chandelier | 72.67 | 85.08 | | awning | 40.34 | 49.23 | | streetlight | 44.63 | 62.23 | | booth | 17.97 | 38.69 | | television receiver | 73.12 | 81.33 | | airplane | 66.26 | 73.3 | | dirt track | 5.2 | 26.49 | | apparel | 25.76 | 48.17 | | pole | 32.72 | 53.47 | | land | 3.35 | 7.31 | | bannister | 18.48 | 28.44 | | escalator | 21.72 | 23.07 | | ottoman | 55.86 | 73.3 | | bottle | 30.19 | 37.7 | | buffet | 45.71 | 59.29 | | poster | 20.15 | 33.43 | | stage | 18.79 | 32.59 | | van | 37.68 | 50.82 | | ship | 8.09 | 11.46 | | fountain | 21.16 | 21.89 | | conveyer belt | 50.89 | 76.9 | | canopy | 34.82 | 39.25 | | washer | 71.98 | 73.68 | | plaything | 25.76 | 35.16 | | swimming pool | 47.05 | 63.93 | | stool | 47.35 | 72.47 | | barrel | 55.55 | 99.04 | | basket | 44.49 | 54.2 | | waterfall | 44.24 | 62.38 | | tent | 95.75 | 98.22 | | bag | 19.88 | 25.52 | | minibike | 75.09 | 91.87 | | cradle | 86.17 | 97.13 | | oven | 21.78 | 60.16 | | ball | 26.2 | 31.84 | | food | 63.35 | 83.72 | | step | 21.29 | 27.51 | | tank | 53.52 | 65.68 | | trade name | 24.96 | 30.87 | | microwave | 41.83 | 45.91 | | pot | 50.49 | 59.2 | | animal | 61.25 | 62.94 | | bicycle | 61.01 | 80.88 | | lake | 0.0 | 0.0 | | dishwasher | 82.4 | 88.13 | | screen | 59.29 | 87.72 | | blanket | 30.97 | 39.15 | | sculpture | 64.67 | 85.31 | | hood | 64.01 | 76.44 | | sconce | 54.41 | 74.13 | | vase | 49.14 | 71.86 | | traffic light | 43.77 | 68.05 | | tray | 15.88 | 24.39 | | ashcan | 51.8 | 70.8 | | fan | 71.42 | 84.37 | | pier | 15.5 | 18.5 | | crt screen | 2.32 | 6.03 | | plate | 58.14 | 74.07 | | monitor | 10.16 | 15.44 | | bulletin board | 44.97 | 60.99 | | shower | 9.62 | 22.54 | | radiator | 67.01 | 87.35 | | glass | 20.95 | 23.14 | | clock | 36.51 | 44.7 | | flag | 47.68 | 52.26 | +---------------------+-------+-------+ 2023-11-12 10:14:16,760 - mmseg - INFO - Summary: 2023-11-12 10:14:16,760 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.79 | 50.45 | 63.36 | +-------+-------+-------+ 2023-11-12 10:14:16,760 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 10:14:16,761 - mmseg - INFO - Iter(val) [250] aAcc: 0.8379, mIoU: 0.5045, mAcc: 0.6336, IoU.wall: 0.7920, IoU.building: 0.8294, IoU.sky: 0.9459, IoU.floor: 0.8329, IoU.tree: 0.7540, IoU.ceiling: 0.8524, IoU.road: 0.8589, IoU.bed : 0.9136, IoU.windowpane: 0.6179, IoU.grass: 0.6328, IoU.cabinet: 0.6442, IoU.sidewalk: 0.6922, IoU.person: 0.8496, IoU.earth: 0.3596, IoU.door: 0.5138, IoU.table: 0.6546, IoU.mountain: 0.6461, IoU.plant: 0.5288, IoU.curtain: 0.7877, IoU.chair: 0.6179, IoU.car: 0.8504, IoU.water: 0.5352, IoU.painting: 0.7582, IoU.sofa: 0.7117, IoU.shelf: 0.4656, IoU.house: 0.4193, IoU.sea: 0.6615, IoU.mirror: 0.6967, IoU.rug: 0.6591, IoU.field: 0.3638, IoU.armchair: 0.5075, IoU.seat: 0.6561, IoU.fence: 0.4944, IoU.desk: 0.5214, IoU.rock: 0.5210, IoU.wardrobe: 0.4471, IoU.lamp: 0.6946, IoU.bathtub: 0.7218, IoU.railing: 0.3682, IoU.cushion: 0.6293, IoU.base: 0.3400, IoU.box: 0.2673, IoU.column: 0.3315, IoU.signboard: 0.3612, IoU.chest of drawers: 0.3867, IoU.counter: 0.2318, IoU.sand: 0.3841, IoU.sink: 0.7882, IoU.skyscraper: 0.3708, IoU.fireplace: 0.7514, IoU.refrigerator: 0.7392, IoU.grandstand: 0.4358, IoU.path: 0.3059, IoU.stairs: 0.3384, IoU.runway: 0.6628, IoU.case: 0.6638, IoU.pool table: 0.9367, IoU.pillow: 0.6102, IoU.screen door: 0.6612, IoU.stairway: 0.3517, IoU.river: 0.0852, IoU.bridge: 0.7178, IoU.bookcase: 0.3796, IoU.blind: 0.4605, IoU.coffee table: 0.6523, IoU.toilet: 0.8853, IoU.flower: 0.4454, IoU.book: 0.5147, IoU.hill: 0.1114, IoU.bench: 0.6105, IoU.countertop: 0.6297, IoU.stove: 0.8109, IoU.palm: 0.5212, IoU.kitchen island: 0.4784, IoU.computer: 0.7258, IoU.swivel chair: 0.3291, IoU.boat: 0.4481, IoU.bar: 0.4920, IoU.arcade machine: 0.7044, IoU.hovel: 0.1065, IoU.bus: 0.9444, IoU.towel: 0.7249, IoU.light: 0.6016, IoU.truck: 0.3146, IoU.tower: 0.2016, IoU.chandelier: 0.7267, IoU.awning: 0.4034, IoU.streetlight: 0.4463, IoU.booth: 0.1797, IoU.television receiver: 0.7312, IoU.airplane: 0.6626, IoU.dirt track: 0.0520, IoU.apparel: 0.2576, IoU.pole: 0.3272, IoU.land: 0.0335, IoU.bannister: 0.1848, IoU.escalator: 0.2172, IoU.ottoman: 0.5586, IoU.bottle: 0.3019, IoU.buffet: 0.4571, IoU.poster: 0.2015, IoU.stage: 0.1879, IoU.van: 0.3768, IoU.ship: 0.0809, IoU.fountain: 0.2116, IoU.conveyer belt: 0.5089, IoU.canopy: 0.3482, IoU.washer: 0.7198, IoU.plaything: 0.2576, IoU.swimming pool: 0.4705, IoU.stool: 0.4735, IoU.barrel: 0.5555, IoU.basket: 0.4449, IoU.waterfall: 0.4424, IoU.tent: 0.9575, IoU.bag: 0.1988, IoU.minibike: 0.7509, IoU.cradle: 0.8617, IoU.oven: 0.2178, IoU.ball: 0.2620, IoU.food: 0.6335, IoU.step: 0.2129, IoU.tank: 0.5352, IoU.trade name: 0.2496, IoU.microwave: 0.4183, IoU.pot: 0.5049, IoU.animal: 0.6125, IoU.bicycle: 0.6101, IoU.lake: 0.0000, IoU.dishwasher: 0.8240, IoU.screen: 0.5929, IoU.blanket: 0.3097, IoU.sculpture: 0.6467, IoU.hood: 0.6401, IoU.sconce: 0.5441, IoU.vase: 0.4914, IoU.traffic light: 0.4377, IoU.tray: 0.1588, IoU.ashcan: 0.5180, IoU.fan: 0.7142, IoU.pier: 0.1550, IoU.crt screen: 0.0232, IoU.plate: 0.5814, IoU.monitor: 0.1016, IoU.bulletin board: 0.4497, IoU.shower: 0.0962, IoU.radiator: 0.6701, IoU.glass: 0.2095, IoU.clock: 0.3651, IoU.flag: 0.4768, Acc.wall: 0.8906, Acc.building: 0.9084, Acc.sky: 0.9704, Acc.floor: 0.9041, Acc.tree: 0.8807, Acc.ceiling: 0.9178, Acc.road: 0.9195, Acc.bed : 0.9573, Acc.windowpane: 0.7798, Acc.grass: 0.7047, Acc.cabinet: 0.7821, Acc.sidewalk: 0.8159, Acc.person: 0.9247, Acc.earth: 0.6317, Acc.door: 0.6287, Acc.table: 0.7820, Acc.mountain: 0.7301, Acc.plant: 0.6972, Acc.curtain: 0.8831, Acc.chair: 0.7582, Acc.car: 0.9251, Acc.water: 0.7021, Acc.painting: 0.8826, Acc.sofa: 0.8372, Acc.shelf: 0.6339, Acc.house: 0.7246, Acc.sea: 0.8984, Acc.mirror: 0.7615, Acc.rug: 0.7812, Acc.field: 0.5111, Acc.armchair: 0.7099, Acc.seat: 0.8159, Acc.fence: 0.6548, Acc.desk: 0.7279, Acc.rock: 0.7754, Acc.wardrobe: 0.6266, Acc.lamp: 0.8327, Acc.bathtub: 0.8567, Acc.railing: 0.5270, Acc.cushion: 0.7491, Acc.base: 0.5793, Acc.box: 0.3980, Acc.column: 0.4318, Acc.signboard: 0.5668, Acc.chest of drawers: 0.5509, Acc.counter: 0.2684, Acc.sand: 0.4566, Acc.sink: 0.8456, Acc.skyscraper: 0.4176, Acc.fireplace: 0.9106, Acc.refrigerator: 0.8338, Acc.grandstand: 0.7080, Acc.path: 0.4309, Acc.stairs: 0.4603, Acc.runway: 0.6762, Acc.case: 0.8080, Acc.pool table: 0.9603, Acc.pillow: 0.7574, Acc.screen door: 0.8239, Acc.stairway: 0.4079, Acc.river: 0.1419, Acc.bridge: 0.9014, Acc.bookcase: 0.6174, Acc.blind: 0.5981, Acc.coffee table: 0.8605, Acc.toilet: 0.9136, Acc.flower: 0.5705, Acc.book: 0.7664, Acc.hill: 0.2141, Acc.bench: 0.7824, Acc.countertop: 0.7014, Acc.stove: 0.8830, Acc.palm: 0.6562, Acc.kitchen island: 0.8110, Acc.computer: 0.7839, Acc.swivel chair: 0.4983, Acc.boat: 0.5485, Acc.bar: 0.6328, Acc.arcade machine: 0.7436, Acc.hovel: 0.1583, Acc.bus: 0.9675, Acc.towel: 0.8108, Acc.light: 0.7693, Acc.truck: 0.5661, Acc.tower: 0.3391, Acc.chandelier: 0.8508, Acc.awning: 0.4923, Acc.streetlight: 0.6223, Acc.booth: 0.3869, Acc.television receiver: 0.8133, Acc.airplane: 0.7330, Acc.dirt track: 0.2649, Acc.apparel: 0.4817, Acc.pole: 0.5347, Acc.land: 0.0731, Acc.bannister: 0.2844, Acc.escalator: 0.2307, Acc.ottoman: 0.7330, Acc.bottle: 0.3770, Acc.buffet: 0.5929, Acc.poster: 0.3343, Acc.stage: 0.3259, Acc.van: 0.5082, Acc.ship: 0.1146, Acc.fountain: 0.2189, Acc.conveyer belt: 0.7690, Acc.canopy: 0.3925, Acc.washer: 0.7368, Acc.plaything: 0.3516, Acc.swimming pool: 0.6393, Acc.stool: 0.7247, Acc.barrel: 0.9904, Acc.basket: 0.5420, Acc.waterfall: 0.6238, Acc.tent: 0.9822, Acc.bag: 0.2552, Acc.minibike: 0.9187, Acc.cradle: 0.9713, Acc.oven: 0.6016, Acc.ball: 0.3184, Acc.food: 0.8372, Acc.step: 0.2751, Acc.tank: 0.6568, Acc.trade name: 0.3087, Acc.microwave: 0.4591, Acc.pot: 0.5920, Acc.animal: 0.6294, Acc.bicycle: 0.8088, Acc.lake: 0.0000, Acc.dishwasher: 0.8813, Acc.screen: 0.8772, Acc.blanket: 0.3915, Acc.sculpture: 0.8531, Acc.hood: 0.7644, Acc.sconce: 0.7413, Acc.vase: 0.7186, Acc.traffic light: 0.6805, Acc.tray: 0.2439, Acc.ashcan: 0.7080, Acc.fan: 0.8437, Acc.pier: 0.1850, Acc.crt screen: 0.0603, Acc.plate: 0.7407, Acc.monitor: 0.1544, Acc.bulletin board: 0.6099, Acc.shower: 0.2254, Acc.radiator: 0.8735, Acc.glass: 0.2314, Acc.clock: 0.4470, Acc.flag: 0.5226 2023-11-12 10:14:40,533 - mmseg - INFO - Iter [82050/160000] lr: 4.872e-05, eta: 10:54:54, time: 0.851, data_time: 0.388, memory: 41146, decode.loss_cls: 0.2575, decode.loss_mask: 0.4854, decode.loss_dice: 0.7400, decode.d0.loss_cls: 1.2441, decode.d0.loss_mask: 0.5169, decode.d0.loss_dice: 0.8052, decode.d1.loss_cls: 0.3344, decode.d1.loss_mask: 0.5032, decode.d1.loss_dice: 0.7729, decode.d2.loss_cls: 0.2881, decode.d2.loss_mask: 0.4923, decode.d2.loss_dice: 0.7611, decode.d3.loss_cls: 0.2752, decode.d3.loss_mask: 0.4864, decode.d3.loss_dice: 0.7401, decode.d4.loss_cls: 0.2662, decode.d4.loss_mask: 0.4842, decode.d4.loss_dice: 0.7436, decode.d5.loss_cls: 0.2595, decode.d5.loss_mask: 0.4855, decode.d5.loss_dice: 0.7407, decode.d6.loss_cls: 0.2522, decode.d6.loss_mask: 0.4855, decode.d6.loss_dice: 0.7430, decode.d7.loss_cls: 0.2559, decode.d7.loss_mask: 0.4832, decode.d7.loss_dice: 0.7373, decode.d8.loss_cls: 0.2559, decode.d8.loss_mask: 0.4827, decode.d8.loss_dice: 0.7395, loss: 16.1177, grad_norm: 48.1090 2023-11-12 10:15:06,601 - mmseg - INFO - Iter [82100/160000] lr: 4.869e-05, eta: 10:54:30, time: 0.521, data_time: 0.058, memory: 41146, decode.loss_cls: 0.2168, decode.loss_mask: 0.4755, decode.loss_dice: 0.7278, decode.d0.loss_cls: 1.1879, decode.d0.loss_mask: 0.5026, decode.d0.loss_dice: 0.7857, decode.d1.loss_cls: 0.2960, decode.d1.loss_mask: 0.4871, decode.d1.loss_dice: 0.7602, decode.d2.loss_cls: 0.2495, decode.d2.loss_mask: 0.4791, decode.d2.loss_dice: 0.7471, decode.d3.loss_cls: 0.2451, decode.d3.loss_mask: 0.4730, decode.d3.loss_dice: 0.7309, decode.d4.loss_cls: 0.2330, decode.d4.loss_mask: 0.4752, decode.d4.loss_dice: 0.7310, decode.d5.loss_cls: 0.2260, decode.d5.loss_mask: 0.4742, decode.d5.loss_dice: 0.7347, decode.d6.loss_cls: 0.2215, decode.d6.loss_mask: 0.4748, decode.d6.loss_dice: 0.7293, decode.d7.loss_cls: 0.2203, decode.d7.loss_mask: 0.4749, decode.d7.loss_dice: 0.7261, decode.d8.loss_cls: 0.2189, decode.d8.loss_mask: 0.4742, decode.d8.loss_dice: 0.7272, loss: 15.5056, grad_norm: 47.0978 2023-11-12 10:15:30,478 - mmseg - INFO - Iter [82150/160000] lr: 4.866e-05, eta: 10:54:03, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2309, decode.loss_mask: 0.4656, decode.loss_dice: 0.7127, decode.d0.loss_cls: 1.1914, decode.d0.loss_mask: 0.5028, decode.d0.loss_dice: 0.7741, decode.d1.loss_cls: 0.2984, decode.d1.loss_mask: 0.4860, decode.d1.loss_dice: 0.7457, decode.d2.loss_cls: 0.2612, decode.d2.loss_mask: 0.4739, decode.d2.loss_dice: 0.7311, decode.d3.loss_cls: 0.2439, decode.d3.loss_mask: 0.4698, decode.d3.loss_dice: 0.7150, decode.d4.loss_cls: 0.2392, decode.d4.loss_mask: 0.4707, decode.d4.loss_dice: 0.7164, decode.d5.loss_cls: 0.2294, decode.d5.loss_mask: 0.4696, decode.d5.loss_dice: 0.7182, decode.d6.loss_cls: 0.2326, decode.d6.loss_mask: 0.4695, decode.d6.loss_dice: 0.7073, decode.d7.loss_cls: 0.2274, decode.d7.loss_mask: 0.4677, decode.d7.loss_dice: 0.7116, decode.d8.loss_cls: 0.2214, decode.d8.loss_mask: 0.4679, decode.d8.loss_dice: 0.7145, loss: 15.3660, grad_norm: 48.6046 2023-11-12 10:15:54,252 - mmseg - INFO - Iter [82200/160000] lr: 4.863e-05, eta: 10:53:37, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2094, decode.loss_mask: 0.4978, decode.loss_dice: 0.7277, decode.d0.loss_cls: 1.2067, decode.d0.loss_mask: 0.5302, decode.d0.loss_dice: 0.7863, decode.d1.loss_cls: 0.2936, decode.d1.loss_mask: 0.5113, decode.d1.loss_dice: 0.7663, decode.d2.loss_cls: 0.2574, decode.d2.loss_mask: 0.5005, decode.d2.loss_dice: 0.7451, decode.d3.loss_cls: 0.2373, decode.d3.loss_mask: 0.5011, decode.d3.loss_dice: 0.7323, decode.d4.loss_cls: 0.2293, decode.d4.loss_mask: 0.4982, decode.d4.loss_dice: 0.7321, decode.d5.loss_cls: 0.2197, decode.d5.loss_mask: 0.4994, decode.d5.loss_dice: 0.7315, decode.d6.loss_cls: 0.2152, decode.d6.loss_mask: 0.4986, decode.d6.loss_dice: 0.7270, decode.d7.loss_cls: 0.2108, decode.d7.loss_mask: 0.4972, decode.d7.loss_dice: 0.7263, decode.d8.loss_cls: 0.2119, decode.d8.loss_mask: 0.4970, decode.d8.loss_dice: 0.7310, loss: 15.7284, grad_norm: 51.6625 2023-11-12 10:16:18,089 - mmseg - INFO - Iter [82250/160000] lr: 4.859e-05, eta: 10:53:10, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2184, decode.loss_mask: 0.4796, decode.loss_dice: 0.7286, decode.d0.loss_cls: 1.2148, decode.d0.loss_mask: 0.5110, decode.d0.loss_dice: 0.7946, decode.d1.loss_cls: 0.2990, decode.d1.loss_mask: 0.4910, decode.d1.loss_dice: 0.7669, decode.d2.loss_cls: 0.2524, decode.d2.loss_mask: 0.4870, decode.d2.loss_dice: 0.7456, decode.d3.loss_cls: 0.2431, decode.d3.loss_mask: 0.4800, decode.d3.loss_dice: 0.7337, decode.d4.loss_cls: 0.2323, decode.d4.loss_mask: 0.4783, decode.d4.loss_dice: 0.7323, decode.d5.loss_cls: 0.2302, decode.d5.loss_mask: 0.4788, decode.d5.loss_dice: 0.7338, decode.d6.loss_cls: 0.2304, decode.d6.loss_mask: 0.4773, decode.d6.loss_dice: 0.7295, decode.d7.loss_cls: 0.2251, decode.d7.loss_mask: 0.4766, decode.d7.loss_dice: 0.7273, decode.d8.loss_cls: 0.2230, decode.d8.loss_mask: 0.4800, decode.d8.loss_dice: 0.7336, loss: 15.6343, grad_norm: 47.3600 2023-11-12 10:16:42,018 - mmseg - INFO - Iter [82300/160000] lr: 4.856e-05, eta: 10:52:44, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2498, decode.loss_mask: 0.4880, decode.loss_dice: 0.7089, decode.d0.loss_cls: 1.2476, decode.d0.loss_mask: 0.5228, decode.d0.loss_dice: 0.7850, decode.d1.loss_cls: 0.3151, decode.d1.loss_mask: 0.5026, decode.d1.loss_dice: 0.7407, decode.d2.loss_cls: 0.2768, decode.d2.loss_mask: 0.4947, decode.d2.loss_dice: 0.7260, decode.d3.loss_cls: 0.2674, decode.d3.loss_mask: 0.4885, decode.d3.loss_dice: 0.7106, decode.d4.loss_cls: 0.2587, decode.d4.loss_mask: 0.4905, decode.d4.loss_dice: 0.7090, decode.d5.loss_cls: 0.2506, decode.d5.loss_mask: 0.4899, decode.d5.loss_dice: 0.7073, decode.d6.loss_cls: 0.2507, decode.d6.loss_mask: 0.4882, decode.d6.loss_dice: 0.7044, decode.d7.loss_cls: 0.2475, decode.d7.loss_mask: 0.4899, decode.d7.loss_dice: 0.7080, decode.d8.loss_cls: 0.2454, decode.d8.loss_mask: 0.4898, decode.d8.loss_dice: 0.7076, loss: 15.7615, grad_norm: 47.2003 2023-11-12 10:17:05,708 - mmseg - INFO - Iter [82350/160000] lr: 4.853e-05, eta: 10:52:17, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2282, decode.loss_mask: 0.4840, decode.loss_dice: 0.7229, decode.d0.loss_cls: 1.2182, decode.d0.loss_mask: 0.5161, decode.d0.loss_dice: 0.7961, decode.d1.loss_cls: 0.2955, decode.d1.loss_mask: 0.5003, decode.d1.loss_dice: 0.7585, decode.d2.loss_cls: 0.2690, decode.d2.loss_mask: 0.4917, decode.d2.loss_dice: 0.7407, decode.d3.loss_cls: 0.2501, decode.d3.loss_mask: 0.4868, decode.d3.loss_dice: 0.7291, decode.d4.loss_cls: 0.2445, decode.d4.loss_mask: 0.4857, decode.d4.loss_dice: 0.7248, decode.d5.loss_cls: 0.2375, decode.d5.loss_mask: 0.4862, decode.d5.loss_dice: 0.7212, decode.d6.loss_cls: 0.2336, decode.d6.loss_mask: 0.4836, decode.d6.loss_dice: 0.7180, decode.d7.loss_cls: 0.2341, decode.d7.loss_mask: 0.4839, decode.d7.loss_dice: 0.7200, decode.d8.loss_cls: 0.2291, decode.d8.loss_mask: 0.4828, decode.d8.loss_dice: 0.7226, loss: 15.6949, grad_norm: 53.2963 2023-11-12 10:17:29,461 - mmseg - INFO - Iter [82400/160000] lr: 4.850e-05, eta: 10:51:50, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2228, decode.loss_mask: 0.4915, decode.loss_dice: 0.7215, decode.d0.loss_cls: 1.2189, decode.d0.loss_mask: 0.5250, decode.d0.loss_dice: 0.7863, decode.d1.loss_cls: 0.3019, decode.d1.loss_mask: 0.5075, decode.d1.loss_dice: 0.7594, decode.d2.loss_cls: 0.2587, decode.d2.loss_mask: 0.4974, decode.d2.loss_dice: 0.7382, decode.d3.loss_cls: 0.2484, decode.d3.loss_mask: 0.4920, decode.d3.loss_dice: 0.7273, decode.d4.loss_cls: 0.2384, decode.d4.loss_mask: 0.4905, decode.d4.loss_dice: 0.7226, decode.d5.loss_cls: 0.2389, decode.d5.loss_mask: 0.4918, decode.d5.loss_dice: 0.7251, decode.d6.loss_cls: 0.2297, decode.d6.loss_mask: 0.4901, decode.d6.loss_dice: 0.7201, decode.d7.loss_cls: 0.2288, decode.d7.loss_mask: 0.4908, decode.d7.loss_dice: 0.7266, decode.d8.loss_cls: 0.2298, decode.d8.loss_mask: 0.4921, decode.d8.loss_dice: 0.7275, loss: 15.7395, grad_norm: 47.3729 2023-11-12 10:17:53,467 - mmseg - INFO - Iter [82450/160000] lr: 4.847e-05, eta: 10:51:24, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2446, decode.loss_mask: 0.5096, decode.loss_dice: 0.7682, decode.d0.loss_cls: 1.2677, decode.d0.loss_mask: 0.5443, decode.d0.loss_dice: 0.8287, decode.d1.loss_cls: 0.3190, decode.d1.loss_mask: 0.5264, decode.d1.loss_dice: 0.8018, decode.d2.loss_cls: 0.2775, decode.d2.loss_mask: 0.5168, decode.d2.loss_dice: 0.7906, decode.d3.loss_cls: 0.2601, decode.d3.loss_mask: 0.5144, decode.d3.loss_dice: 0.7759, decode.d4.loss_cls: 0.2561, decode.d4.loss_mask: 0.5145, decode.d4.loss_dice: 0.7756, decode.d5.loss_cls: 0.2495, decode.d5.loss_mask: 0.5149, decode.d5.loss_dice: 0.7748, decode.d6.loss_cls: 0.2485, decode.d6.loss_mask: 0.5112, decode.d6.loss_dice: 0.7693, decode.d7.loss_cls: 0.2440, decode.d7.loss_mask: 0.5104, decode.d7.loss_dice: 0.7702, decode.d8.loss_cls: 0.2440, decode.d8.loss_mask: 0.5101, decode.d8.loss_dice: 0.7700, loss: 16.6087, grad_norm: 49.9570 2023-11-12 10:18:17,478 - mmseg - INFO - Iter [82500/160000] lr: 4.844e-05, eta: 10:50:58, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2363, decode.loss_mask: 0.4655, decode.loss_dice: 0.7019, decode.d0.loss_cls: 1.2249, decode.d0.loss_mask: 0.4974, decode.d0.loss_dice: 0.7663, decode.d1.loss_cls: 0.3081, decode.d1.loss_mask: 0.4794, decode.d1.loss_dice: 0.7346, decode.d2.loss_cls: 0.2695, decode.d2.loss_mask: 0.4741, decode.d2.loss_dice: 0.7201, decode.d3.loss_cls: 0.2495, decode.d3.loss_mask: 0.4685, decode.d3.loss_dice: 0.7089, decode.d4.loss_cls: 0.2453, decode.d4.loss_mask: 0.4669, decode.d4.loss_dice: 0.7049, decode.d5.loss_cls: 0.2429, decode.d5.loss_mask: 0.4674, decode.d5.loss_dice: 0.7098, decode.d6.loss_cls: 0.2389, decode.d6.loss_mask: 0.4670, decode.d6.loss_dice: 0.7008, decode.d7.loss_cls: 0.2354, decode.d7.loss_mask: 0.4657, decode.d7.loss_dice: 0.7011, decode.d8.loss_cls: 0.2370, decode.d8.loss_mask: 0.4665, decode.d8.loss_dice: 0.7037, loss: 15.3584, grad_norm: 46.1188 2023-11-12 10:18:41,436 - mmseg - INFO - Iter [82550/160000] lr: 4.841e-05, eta: 10:50:31, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2266, decode.loss_mask: 0.4828, decode.loss_dice: 0.7005, decode.d0.loss_cls: 1.1972, decode.d0.loss_mask: 0.5119, decode.d0.loss_dice: 0.7606, decode.d1.loss_cls: 0.3040, decode.d1.loss_mask: 0.4968, decode.d1.loss_dice: 0.7305, decode.d2.loss_cls: 0.2558, decode.d2.loss_mask: 0.4863, decode.d2.loss_dice: 0.7174, decode.d3.loss_cls: 0.2380, decode.d3.loss_mask: 0.4825, decode.d3.loss_dice: 0.7108, decode.d4.loss_cls: 0.2414, decode.d4.loss_mask: 0.4816, decode.d4.loss_dice: 0.7051, decode.d5.loss_cls: 0.2339, decode.d5.loss_mask: 0.4817, decode.d5.loss_dice: 0.7057, decode.d6.loss_cls: 0.2306, decode.d6.loss_mask: 0.4816, decode.d6.loss_dice: 0.7040, decode.d7.loss_cls: 0.2275, decode.d7.loss_mask: 0.4827, decode.d7.loss_dice: 0.7030, decode.d8.loss_cls: 0.2258, decode.d8.loss_mask: 0.4827, decode.d8.loss_dice: 0.7047, loss: 15.3937, grad_norm: 46.9094 2023-11-12 10:19:05,239 - mmseg - INFO - Iter [82600/160000] lr: 4.838e-05, eta: 10:50:05, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2230, decode.loss_mask: 0.4765, decode.loss_dice: 0.7283, decode.d0.loss_cls: 1.2050, decode.d0.loss_mask: 0.5161, decode.d0.loss_dice: 0.8087, decode.d1.loss_cls: 0.2935, decode.d1.loss_mask: 0.4939, decode.d1.loss_dice: 0.7633, decode.d2.loss_cls: 0.2492, decode.d2.loss_mask: 0.4834, decode.d2.loss_dice: 0.7481, decode.d3.loss_cls: 0.2368, decode.d3.loss_mask: 0.4802, decode.d3.loss_dice: 0.7310, decode.d4.loss_cls: 0.2278, decode.d4.loss_mask: 0.4801, decode.d4.loss_dice: 0.7358, decode.d5.loss_cls: 0.2202, decode.d5.loss_mask: 0.4793, decode.d5.loss_dice: 0.7354, decode.d6.loss_cls: 0.2173, decode.d6.loss_mask: 0.4797, decode.d6.loss_dice: 0.7300, decode.d7.loss_cls: 0.2177, decode.d7.loss_mask: 0.4776, decode.d7.loss_dice: 0.7310, decode.d8.loss_cls: 0.2223, decode.d8.loss_mask: 0.4778, decode.d8.loss_dice: 0.7323, loss: 15.6014, grad_norm: 48.5588 2023-11-12 10:19:29,235 - mmseg - INFO - Iter [82650/160000] lr: 4.834e-05, eta: 10:49:39, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2151, decode.loss_mask: 0.4786, decode.loss_dice: 0.7324, decode.d0.loss_cls: 1.2085, decode.d0.loss_mask: 0.5134, decode.d0.loss_dice: 0.8029, decode.d1.loss_cls: 0.2905, decode.d1.loss_mask: 0.4978, decode.d1.loss_dice: 0.7728, decode.d2.loss_cls: 0.2557, decode.d2.loss_mask: 0.4863, decode.d2.loss_dice: 0.7503, decode.d3.loss_cls: 0.2374, decode.d3.loss_mask: 0.4799, decode.d3.loss_dice: 0.7391, decode.d4.loss_cls: 0.2303, decode.d4.loss_mask: 0.4782, decode.d4.loss_dice: 0.7381, decode.d5.loss_cls: 0.2228, decode.d5.loss_mask: 0.4790, decode.d5.loss_dice: 0.7369, decode.d6.loss_cls: 0.2221, decode.d6.loss_mask: 0.4791, decode.d6.loss_dice: 0.7318, decode.d7.loss_cls: 0.2154, decode.d7.loss_mask: 0.4795, decode.d7.loss_dice: 0.7343, decode.d8.loss_cls: 0.2129, decode.d8.loss_mask: 0.4807, decode.d8.loss_dice: 0.7330, loss: 15.6347, grad_norm: 50.5886 2023-11-12 10:19:53,003 - mmseg - INFO - Iter [82700/160000] lr: 4.831e-05, eta: 10:49:12, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2196, decode.loss_mask: 0.4746, decode.loss_dice: 0.7139, decode.d0.loss_cls: 1.2279, decode.d0.loss_mask: 0.5061, decode.d0.loss_dice: 0.7795, decode.d1.loss_cls: 0.2916, decode.d1.loss_mask: 0.4930, decode.d1.loss_dice: 0.7545, decode.d2.loss_cls: 0.2513, decode.d2.loss_mask: 0.4805, decode.d2.loss_dice: 0.7321, decode.d3.loss_cls: 0.2341, decode.d3.loss_mask: 0.4784, decode.d3.loss_dice: 0.7203, decode.d4.loss_cls: 0.2268, decode.d4.loss_mask: 0.4765, decode.d4.loss_dice: 0.7211, decode.d5.loss_cls: 0.2236, decode.d5.loss_mask: 0.4764, decode.d5.loss_dice: 0.7185, decode.d6.loss_cls: 0.2265, decode.d6.loss_mask: 0.4748, decode.d6.loss_dice: 0.7149, decode.d7.loss_cls: 0.2199, decode.d7.loss_mask: 0.4753, decode.d7.loss_dice: 0.7162, decode.d8.loss_cls: 0.2179, decode.d8.loss_mask: 0.4762, decode.d8.loss_dice: 0.7157, loss: 15.4377, grad_norm: 44.6438 2023-11-12 10:20:16,992 - mmseg - INFO - Iter [82750/160000] lr: 4.828e-05, eta: 10:48:46, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2310, decode.loss_mask: 0.4990, decode.loss_dice: 0.7255, decode.d0.loss_cls: 1.2189, decode.d0.loss_mask: 0.5362, decode.d0.loss_dice: 0.7803, decode.d1.loss_cls: 0.3032, decode.d1.loss_mask: 0.5168, decode.d1.loss_dice: 0.7628, decode.d2.loss_cls: 0.2642, decode.d2.loss_mask: 0.5111, decode.d2.loss_dice: 0.7424, decode.d3.loss_cls: 0.2472, decode.d3.loss_mask: 0.5039, decode.d3.loss_dice: 0.7284, decode.d4.loss_cls: 0.2428, decode.d4.loss_mask: 0.5024, decode.d4.loss_dice: 0.7288, decode.d5.loss_cls: 0.2371, decode.d5.loss_mask: 0.4995, decode.d5.loss_dice: 0.7275, decode.d6.loss_cls: 0.2364, decode.d6.loss_mask: 0.4991, decode.d6.loss_dice: 0.7218, decode.d7.loss_cls: 0.2354, decode.d7.loss_mask: 0.4992, decode.d7.loss_dice: 0.7249, decode.d8.loss_cls: 0.2296, decode.d8.loss_mask: 0.4999, decode.d8.loss_dice: 0.7226, loss: 15.8780, grad_norm: 48.7931 2023-11-12 10:20:40,809 - mmseg - INFO - Iter [82800/160000] lr: 4.825e-05, eta: 10:48:19, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2361, decode.loss_mask: 0.4689, decode.loss_dice: 0.7069, decode.d0.loss_cls: 1.2237, decode.d0.loss_mask: 0.5069, decode.d0.loss_dice: 0.7847, decode.d1.loss_cls: 0.3095, decode.d1.loss_mask: 0.4857, decode.d1.loss_dice: 0.7521, decode.d2.loss_cls: 0.2707, decode.d2.loss_mask: 0.4775, decode.d2.loss_dice: 0.7337, decode.d3.loss_cls: 0.2581, decode.d3.loss_mask: 0.4714, decode.d3.loss_dice: 0.7174, decode.d4.loss_cls: 0.2518, decode.d4.loss_mask: 0.4697, decode.d4.loss_dice: 0.7160, decode.d5.loss_cls: 0.2414, decode.d5.loss_mask: 0.4705, decode.d5.loss_dice: 0.7152, decode.d6.loss_cls: 0.2439, decode.d6.loss_mask: 0.4685, decode.d6.loss_dice: 0.7112, decode.d7.loss_cls: 0.2359, decode.d7.loss_mask: 0.4706, decode.d7.loss_dice: 0.7175, decode.d8.loss_cls: 0.2323, decode.d8.loss_mask: 0.4706, decode.d8.loss_dice: 0.7129, loss: 15.5315, grad_norm: 48.0591 2023-11-12 10:21:04,400 - mmseg - INFO - Iter [82850/160000] lr: 4.822e-05, eta: 10:47:53, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2213, decode.loss_mask: 0.4816, decode.loss_dice: 0.6808, decode.d0.loss_cls: 1.2031, decode.d0.loss_mask: 0.5194, decode.d0.loss_dice: 0.7558, decode.d1.loss_cls: 0.2925, decode.d1.loss_mask: 0.4999, decode.d1.loss_dice: 0.7211, decode.d2.loss_cls: 0.2528, decode.d2.loss_mask: 0.4906, decode.d2.loss_dice: 0.7013, decode.d3.loss_cls: 0.2420, decode.d3.loss_mask: 0.4837, decode.d3.loss_dice: 0.6872, decode.d4.loss_cls: 0.2325, decode.d4.loss_mask: 0.4822, decode.d4.loss_dice: 0.6877, decode.d5.loss_cls: 0.2262, decode.d5.loss_mask: 0.4828, decode.d5.loss_dice: 0.6856, decode.d6.loss_cls: 0.2239, decode.d6.loss_mask: 0.4821, decode.d6.loss_dice: 0.6848, decode.d7.loss_cls: 0.2270, decode.d7.loss_mask: 0.4804, decode.d7.loss_dice: 0.6845, decode.d8.loss_cls: 0.2220, decode.d8.loss_mask: 0.4823, decode.d8.loss_dice: 0.6863, loss: 15.2035, grad_norm: 45.6842 2023-11-12 10:21:28,105 - mmseg - INFO - Iter [82900/160000] lr: 4.819e-05, eta: 10:47:26, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2286, decode.loss_mask: 0.4992, decode.loss_dice: 0.7238, decode.d0.loss_cls: 1.2076, decode.d0.loss_mask: 0.5286, decode.d0.loss_dice: 0.7871, decode.d1.loss_cls: 0.2983, decode.d1.loss_mask: 0.5094, decode.d1.loss_dice: 0.7663, decode.d2.loss_cls: 0.2620, decode.d2.loss_mask: 0.5018, decode.d2.loss_dice: 0.7364, decode.d3.loss_cls: 0.2469, decode.d3.loss_mask: 0.4998, decode.d3.loss_dice: 0.7281, decode.d4.loss_cls: 0.2371, decode.d4.loss_mask: 0.4973, decode.d4.loss_dice: 0.7280, decode.d5.loss_cls: 0.2308, decode.d5.loss_mask: 0.4971, decode.d5.loss_dice: 0.7273, decode.d6.loss_cls: 0.2292, decode.d6.loss_mask: 0.4988, decode.d6.loss_dice: 0.7245, decode.d7.loss_cls: 0.2268, decode.d7.loss_mask: 0.4991, decode.d7.loss_dice: 0.7292, decode.d8.loss_cls: 0.2301, decode.d8.loss_mask: 0.4974, decode.d8.loss_dice: 0.7235, loss: 15.8001, grad_norm: 49.0662 2023-11-12 10:21:51,940 - mmseg - INFO - Iter [82950/160000] lr: 4.816e-05, eta: 10:47:00, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2155, decode.loss_mask: 0.4595, decode.loss_dice: 0.7102, decode.d0.loss_cls: 1.2245, decode.d0.loss_mask: 0.4921, decode.d0.loss_dice: 0.7717, decode.d1.loss_cls: 0.2928, decode.d1.loss_mask: 0.4779, decode.d1.loss_dice: 0.7466, decode.d2.loss_cls: 0.2582, decode.d2.loss_mask: 0.4704, decode.d2.loss_dice: 0.7265, decode.d3.loss_cls: 0.2373, decode.d3.loss_mask: 0.4621, decode.d3.loss_dice: 0.7167, decode.d4.loss_cls: 0.2277, decode.d4.loss_mask: 0.4609, decode.d4.loss_dice: 0.7137, decode.d5.loss_cls: 0.2234, decode.d5.loss_mask: 0.4592, decode.d5.loss_dice: 0.7128, decode.d6.loss_cls: 0.2222, decode.d6.loss_mask: 0.4605, decode.d6.loss_dice: 0.7098, decode.d7.loss_cls: 0.2188, decode.d7.loss_mask: 0.4601, decode.d7.loss_dice: 0.7093, decode.d8.loss_cls: 0.2191, decode.d8.loss_mask: 0.4603, decode.d8.loss_dice: 0.7069, loss: 15.2268, grad_norm: 50.9964 2023-11-12 10:22:15,905 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 10:22:15,905 - mmseg - INFO - Iter [83000/160000] lr: 4.813e-05, eta: 10:46:33, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2324, decode.loss_mask: 0.4720, decode.loss_dice: 0.7177, decode.d0.loss_cls: 1.2165, decode.d0.loss_mask: 0.5034, decode.d0.loss_dice: 0.7873, decode.d1.loss_cls: 0.3012, decode.d1.loss_mask: 0.4895, decode.d1.loss_dice: 0.7520, decode.d2.loss_cls: 0.2734, decode.d2.loss_mask: 0.4808, decode.d2.loss_dice: 0.7323, decode.d3.loss_cls: 0.2554, decode.d3.loss_mask: 0.4743, decode.d3.loss_dice: 0.7263, decode.d4.loss_cls: 0.2452, decode.d4.loss_mask: 0.4745, decode.d4.loss_dice: 0.7216, decode.d5.loss_cls: 0.2401, decode.d5.loss_mask: 0.4736, decode.d5.loss_dice: 0.7203, decode.d6.loss_cls: 0.2402, decode.d6.loss_mask: 0.4734, decode.d6.loss_dice: 0.7169, decode.d7.loss_cls: 0.2366, decode.d7.loss_mask: 0.4724, decode.d7.loss_dice: 0.7214, decode.d8.loss_cls: 0.2334, decode.d8.loss_mask: 0.4736, decode.d8.loss_dice: 0.7199, loss: 15.5775, grad_norm: 52.1076 2023-11-12 10:22:39,994 - mmseg - INFO - Iter [83050/160000] lr: 4.809e-05, eta: 10:46:07, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2397, decode.loss_mask: 0.4669, decode.loss_dice: 0.7325, decode.d0.loss_cls: 1.2386, decode.d0.loss_mask: 0.5004, decode.d0.loss_dice: 0.8039, decode.d1.loss_cls: 0.3189, decode.d1.loss_mask: 0.4860, decode.d1.loss_dice: 0.7718, decode.d2.loss_cls: 0.2697, decode.d2.loss_mask: 0.4751, decode.d2.loss_dice: 0.7520, decode.d3.loss_cls: 0.2616, decode.d3.loss_mask: 0.4673, decode.d3.loss_dice: 0.7336, decode.d4.loss_cls: 0.2487, decode.d4.loss_mask: 0.4687, decode.d4.loss_dice: 0.7351, decode.d5.loss_cls: 0.2445, decode.d5.loss_mask: 0.4676, decode.d5.loss_dice: 0.7348, decode.d6.loss_cls: 0.2427, decode.d6.loss_mask: 0.4679, decode.d6.loss_dice: 0.7274, decode.d7.loss_cls: 0.2375, decode.d7.loss_mask: 0.4692, decode.d7.loss_dice: 0.7328, decode.d8.loss_cls: 0.2389, decode.d8.loss_mask: 0.4680, decode.d8.loss_dice: 0.7322, loss: 15.7339, grad_norm: 44.8943 2023-11-12 10:23:03,826 - mmseg - INFO - Iter [83100/160000] lr: 4.806e-05, eta: 10:45:41, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2410, decode.loss_mask: 0.4767, decode.loss_dice: 0.7048, decode.d0.loss_cls: 1.2122, decode.d0.loss_mask: 0.5137, decode.d0.loss_dice: 0.7741, decode.d1.loss_cls: 0.3058, decode.d1.loss_mask: 0.4903, decode.d1.loss_dice: 0.7436, decode.d2.loss_cls: 0.2695, decode.d2.loss_mask: 0.4830, decode.d2.loss_dice: 0.7238, decode.d3.loss_cls: 0.2495, decode.d3.loss_mask: 0.4808, decode.d3.loss_dice: 0.7121, decode.d4.loss_cls: 0.2434, decode.d4.loss_mask: 0.4781, decode.d4.loss_dice: 0.7136, decode.d5.loss_cls: 0.2398, decode.d5.loss_mask: 0.4786, decode.d5.loss_dice: 0.7127, decode.d6.loss_cls: 0.2366, decode.d6.loss_mask: 0.4791, decode.d6.loss_dice: 0.7087, decode.d7.loss_cls: 0.2359, decode.d7.loss_mask: 0.4770, decode.d7.loss_dice: 0.7062, decode.d8.loss_cls: 0.2362, decode.d8.loss_mask: 0.4781, decode.d8.loss_dice: 0.7078, loss: 15.5129, grad_norm: 44.2453 2023-11-12 10:23:27,828 - mmseg - INFO - Iter [83150/160000] lr: 4.803e-05, eta: 10:45:14, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2261, decode.loss_mask: 0.4800, decode.loss_dice: 0.7113, decode.d0.loss_cls: 1.1963, decode.d0.loss_mask: 0.5163, decode.d0.loss_dice: 0.7790, decode.d1.loss_cls: 0.2963, decode.d1.loss_mask: 0.4934, decode.d1.loss_dice: 0.7493, decode.d2.loss_cls: 0.2595, decode.d2.loss_mask: 0.4869, decode.d2.loss_dice: 0.7279, decode.d3.loss_cls: 0.2442, decode.d3.loss_mask: 0.4821, decode.d3.loss_dice: 0.7144, decode.d4.loss_cls: 0.2300, decode.d4.loss_mask: 0.4795, decode.d4.loss_dice: 0.7160, decode.d5.loss_cls: 0.2312, decode.d5.loss_mask: 0.4788, decode.d5.loss_dice: 0.7146, decode.d6.loss_cls: 0.2271, decode.d6.loss_mask: 0.4780, decode.d6.loss_dice: 0.7119, decode.d7.loss_cls: 0.2264, decode.d7.loss_mask: 0.4790, decode.d7.loss_dice: 0.7136, decode.d8.loss_cls: 0.2245, decode.d8.loss_mask: 0.4793, decode.d8.loss_dice: 0.7121, loss: 15.4649, grad_norm: 46.7344 2023-11-12 10:23:51,506 - mmseg - INFO - Iter [83200/160000] lr: 4.800e-05, eta: 10:44:48, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2231, decode.loss_mask: 0.4781, decode.loss_dice: 0.7215, decode.d0.loss_cls: 1.1853, decode.d0.loss_mask: 0.5124, decode.d0.loss_dice: 0.7866, decode.d1.loss_cls: 0.2934, decode.d1.loss_mask: 0.4922, decode.d1.loss_dice: 0.7566, decode.d2.loss_cls: 0.2564, decode.d2.loss_mask: 0.4846, decode.d2.loss_dice: 0.7358, decode.d3.loss_cls: 0.2469, decode.d3.loss_mask: 0.4781, decode.d3.loss_dice: 0.7228, decode.d4.loss_cls: 0.2371, decode.d4.loss_mask: 0.4767, decode.d4.loss_dice: 0.7218, decode.d5.loss_cls: 0.2337, decode.d5.loss_mask: 0.4772, decode.d5.loss_dice: 0.7219, decode.d6.loss_cls: 0.2234, decode.d6.loss_mask: 0.4778, decode.d6.loss_dice: 0.7241, decode.d7.loss_cls: 0.2279, decode.d7.loss_mask: 0.4776, decode.d7.loss_dice: 0.7238, decode.d8.loss_cls: 0.2252, decode.d8.loss_mask: 0.4798, decode.d8.loss_dice: 0.7236, loss: 15.5254, grad_norm: 45.2287 2023-11-12 10:24:15,366 - mmseg - INFO - Iter [83250/160000] lr: 4.797e-05, eta: 10:44:21, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2290, decode.loss_mask: 0.4867, decode.loss_dice: 0.7337, decode.d0.loss_cls: 1.2110, decode.d0.loss_mask: 0.5206, decode.d0.loss_dice: 0.8045, decode.d1.loss_cls: 0.2983, decode.d1.loss_mask: 0.5055, decode.d1.loss_dice: 0.7674, decode.d2.loss_cls: 0.2624, decode.d2.loss_mask: 0.4962, decode.d2.loss_dice: 0.7571, decode.d3.loss_cls: 0.2520, decode.d3.loss_mask: 0.4877, decode.d3.loss_dice: 0.7389, decode.d4.loss_cls: 0.2427, decode.d4.loss_mask: 0.4859, decode.d4.loss_dice: 0.7373, decode.d5.loss_cls: 0.2373, decode.d5.loss_mask: 0.4859, decode.d5.loss_dice: 0.7414, decode.d6.loss_cls: 0.2377, decode.d6.loss_mask: 0.4854, decode.d6.loss_dice: 0.7326, decode.d7.loss_cls: 0.2289, decode.d7.loss_mask: 0.4844, decode.d7.loss_dice: 0.7345, decode.d8.loss_cls: 0.2324, decode.d8.loss_mask: 0.4858, decode.d8.loss_dice: 0.7357, loss: 15.8385, grad_norm: 49.2646 2023-11-12 10:24:39,267 - mmseg - INFO - Iter [83300/160000] lr: 4.794e-05, eta: 10:43:55, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2283, decode.loss_mask: 0.4737, decode.loss_dice: 0.7147, decode.d0.loss_cls: 1.2340, decode.d0.loss_mask: 0.5095, decode.d0.loss_dice: 0.7846, decode.d1.loss_cls: 0.2891, decode.d1.loss_mask: 0.4927, decode.d1.loss_dice: 0.7573, decode.d2.loss_cls: 0.2572, decode.d2.loss_mask: 0.4798, decode.d2.loss_dice: 0.7411, decode.d3.loss_cls: 0.2440, decode.d3.loss_mask: 0.4780, decode.d3.loss_dice: 0.7224, decode.d4.loss_cls: 0.2365, decode.d4.loss_mask: 0.4754, decode.d4.loss_dice: 0.7202, decode.d5.loss_cls: 0.2414, decode.d5.loss_mask: 0.4750, decode.d5.loss_dice: 0.7195, decode.d6.loss_cls: 0.2321, decode.d6.loss_mask: 0.4733, decode.d6.loss_dice: 0.7145, decode.d7.loss_cls: 0.2325, decode.d7.loss_mask: 0.4742, decode.d7.loss_dice: 0.7173, decode.d8.loss_cls: 0.2308, decode.d8.loss_mask: 0.4739, decode.d8.loss_dice: 0.7160, loss: 15.5390, grad_norm: 44.5264 2023-11-12 10:25:03,137 - mmseg - INFO - Iter [83350/160000] lr: 4.791e-05, eta: 10:43:28, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2339, decode.loss_mask: 0.4740, decode.loss_dice: 0.7279, decode.d0.loss_cls: 1.2377, decode.d0.loss_mask: 0.5060, decode.d0.loss_dice: 0.7948, decode.d1.loss_cls: 0.3079, decode.d1.loss_mask: 0.4896, decode.d1.loss_dice: 0.7718, decode.d2.loss_cls: 0.2760, decode.d2.loss_mask: 0.4801, decode.d2.loss_dice: 0.7458, decode.d3.loss_cls: 0.2589, decode.d3.loss_mask: 0.4753, decode.d3.loss_dice: 0.7340, decode.d4.loss_cls: 0.2500, decode.d4.loss_mask: 0.4761, decode.d4.loss_dice: 0.7329, decode.d5.loss_cls: 0.2419, decode.d5.loss_mask: 0.4754, decode.d5.loss_dice: 0.7357, decode.d6.loss_cls: 0.2361, decode.d6.loss_mask: 0.4735, decode.d6.loss_dice: 0.7297, decode.d7.loss_cls: 0.2382, decode.d7.loss_mask: 0.4747, decode.d7.loss_dice: 0.7276, decode.d8.loss_cls: 0.2299, decode.d8.loss_mask: 0.4750, decode.d8.loss_dice: 0.7329, loss: 15.7434, grad_norm: 48.1674 2023-11-12 10:25:29,298 - mmseg - INFO - Iter [83400/160000] lr: 4.788e-05, eta: 10:43:04, time: 0.523, data_time: 0.058, memory: 41146, decode.loss_cls: 0.2297, decode.loss_mask: 0.4609, decode.loss_dice: 0.7008, decode.d0.loss_cls: 1.2192, decode.d0.loss_mask: 0.4954, decode.d0.loss_dice: 0.7725, decode.d1.loss_cls: 0.2990, decode.d1.loss_mask: 0.4759, decode.d1.loss_dice: 0.7421, decode.d2.loss_cls: 0.2638, decode.d2.loss_mask: 0.4675, decode.d2.loss_dice: 0.7215, decode.d3.loss_cls: 0.2448, decode.d3.loss_mask: 0.4638, decode.d3.loss_dice: 0.7095, decode.d4.loss_cls: 0.2444, decode.d4.loss_mask: 0.4621, decode.d4.loss_dice: 0.7052, decode.d5.loss_cls: 0.2409, decode.d5.loss_mask: 0.4599, decode.d5.loss_dice: 0.7029, decode.d6.loss_cls: 0.2345, decode.d6.loss_mask: 0.4613, decode.d6.loss_dice: 0.6993, decode.d7.loss_cls: 0.2327, decode.d7.loss_mask: 0.4617, decode.d7.loss_dice: 0.6986, decode.d8.loss_cls: 0.2310, decode.d8.loss_mask: 0.4611, decode.d8.loss_dice: 0.7022, loss: 15.2644, grad_norm: 42.9299 2023-11-12 10:25:53,190 - mmseg - INFO - Iter [83450/160000] lr: 4.784e-05, eta: 10:42:38, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2247, decode.loss_mask: 0.4737, decode.loss_dice: 0.7067, decode.d0.loss_cls: 1.2023, decode.d0.loss_mask: 0.5118, decode.d0.loss_dice: 0.7738, decode.d1.loss_cls: 0.2966, decode.d1.loss_mask: 0.4860, decode.d1.loss_dice: 0.7451, decode.d2.loss_cls: 0.2580, decode.d2.loss_mask: 0.4808, decode.d2.loss_dice: 0.7268, decode.d3.loss_cls: 0.2412, decode.d3.loss_mask: 0.4735, decode.d3.loss_dice: 0.7101, decode.d4.loss_cls: 0.2345, decode.d4.loss_mask: 0.4730, decode.d4.loss_dice: 0.7098, decode.d5.loss_cls: 0.2323, decode.d5.loss_mask: 0.4733, decode.d5.loss_dice: 0.7100, decode.d6.loss_cls: 0.2302, decode.d6.loss_mask: 0.4720, decode.d6.loss_dice: 0.7066, decode.d7.loss_cls: 0.2272, decode.d7.loss_mask: 0.4727, decode.d7.loss_dice: 0.7077, decode.d8.loss_cls: 0.2259, decode.d8.loss_mask: 0.4731, decode.d8.loss_dice: 0.7076, loss: 15.3669, grad_norm: 43.4599 2023-11-12 10:26:17,032 - mmseg - INFO - Iter [83500/160000] lr: 4.781e-05, eta: 10:42:11, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2313, decode.loss_mask: 0.4704, decode.loss_dice: 0.7167, decode.d0.loss_cls: 1.2265, decode.d0.loss_mask: 0.5060, decode.d0.loss_dice: 0.7844, decode.d1.loss_cls: 0.2986, decode.d1.loss_mask: 0.4924, decode.d1.loss_dice: 0.7611, decode.d2.loss_cls: 0.2648, decode.d2.loss_mask: 0.4824, decode.d2.loss_dice: 0.7377, decode.d3.loss_cls: 0.2493, decode.d3.loss_mask: 0.4746, decode.d3.loss_dice: 0.7224, decode.d4.loss_cls: 0.2445, decode.d4.loss_mask: 0.4739, decode.d4.loss_dice: 0.7237, decode.d5.loss_cls: 0.2410, decode.d5.loss_mask: 0.4740, decode.d5.loss_dice: 0.7215, decode.d6.loss_cls: 0.2381, decode.d6.loss_mask: 0.4730, decode.d6.loss_dice: 0.7204, decode.d7.loss_cls: 0.2345, decode.d7.loss_mask: 0.4711, decode.d7.loss_dice: 0.7205, decode.d8.loss_cls: 0.2273, decode.d8.loss_mask: 0.4712, decode.d8.loss_dice: 0.7192, loss: 15.5725, grad_norm: 47.5278 2023-11-12 10:26:40,965 - mmseg - INFO - Iter [83550/160000] lr: 4.778e-05, eta: 10:41:45, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2317, decode.loss_mask: 0.4816, decode.loss_dice: 0.7085, decode.d0.loss_cls: 1.1966, decode.d0.loss_mask: 0.5191, decode.d0.loss_dice: 0.7741, decode.d1.loss_cls: 0.3008, decode.d1.loss_mask: 0.4940, decode.d1.loss_dice: 0.7400, decode.d2.loss_cls: 0.2696, decode.d2.loss_mask: 0.4866, decode.d2.loss_dice: 0.7259, decode.d3.loss_cls: 0.2504, decode.d3.loss_mask: 0.4816, decode.d3.loss_dice: 0.7105, decode.d4.loss_cls: 0.2473, decode.d4.loss_mask: 0.4803, decode.d4.loss_dice: 0.7102, decode.d5.loss_cls: 0.2408, decode.d5.loss_mask: 0.4799, decode.d5.loss_dice: 0.7104, decode.d6.loss_cls: 0.2380, decode.d6.loss_mask: 0.4809, decode.d6.loss_dice: 0.7069, decode.d7.loss_cls: 0.2350, decode.d7.loss_mask: 0.4798, decode.d7.loss_dice: 0.7128, decode.d8.loss_cls: 0.2295, decode.d8.loss_mask: 0.4804, decode.d8.loss_dice: 0.7113, loss: 15.5145, grad_norm: 45.9529 2023-11-12 10:27:04,737 - mmseg - INFO - Iter [83600/160000] lr: 4.775e-05, eta: 10:41:19, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2247, decode.loss_mask: 0.4869, decode.loss_dice: 0.7231, decode.d0.loss_cls: 1.2303, decode.d0.loss_mask: 0.5206, decode.d0.loss_dice: 0.7821, decode.d1.loss_cls: 0.2820, decode.d1.loss_mask: 0.5040, decode.d1.loss_dice: 0.7580, decode.d2.loss_cls: 0.2549, decode.d2.loss_mask: 0.4939, decode.d2.loss_dice: 0.7377, decode.d3.loss_cls: 0.2416, decode.d3.loss_mask: 0.4885, decode.d3.loss_dice: 0.7246, decode.d4.loss_cls: 0.2356, decode.d4.loss_mask: 0.4880, decode.d4.loss_dice: 0.7266, decode.d5.loss_cls: 0.2335, decode.d5.loss_mask: 0.4877, decode.d5.loss_dice: 0.7235, decode.d6.loss_cls: 0.2298, decode.d6.loss_mask: 0.4855, decode.d6.loss_dice: 0.7209, decode.d7.loss_cls: 0.2271, decode.d7.loss_mask: 0.4870, decode.d7.loss_dice: 0.7192, decode.d8.loss_cls: 0.2302, decode.d8.loss_mask: 0.4862, decode.d8.loss_dice: 0.7245, loss: 15.6583, grad_norm: 46.0628 2023-11-12 10:27:28,659 - mmseg - INFO - Iter [83650/160000] lr: 4.772e-05, eta: 10:40:52, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2306, decode.loss_mask: 0.4589, decode.loss_dice: 0.6963, decode.d0.loss_cls: 1.2212, decode.d0.loss_mask: 0.4949, decode.d0.loss_dice: 0.7654, decode.d1.loss_cls: 0.3058, decode.d1.loss_mask: 0.4772, decode.d1.loss_dice: 0.7283, decode.d2.loss_cls: 0.2671, decode.d2.loss_mask: 0.4669, decode.d2.loss_dice: 0.7081, decode.d3.loss_cls: 0.2507, decode.d3.loss_mask: 0.4632, decode.d3.loss_dice: 0.6953, decode.d4.loss_cls: 0.2404, decode.d4.loss_mask: 0.4611, decode.d4.loss_dice: 0.6965, decode.d5.loss_cls: 0.2378, decode.d5.loss_mask: 0.4594, decode.d5.loss_dice: 0.6984, decode.d6.loss_cls: 0.2376, decode.d6.loss_mask: 0.4605, decode.d6.loss_dice: 0.6926, decode.d7.loss_cls: 0.2344, decode.d7.loss_mask: 0.4589, decode.d7.loss_dice: 0.6938, decode.d8.loss_cls: 0.2341, decode.d8.loss_mask: 0.4594, decode.d8.loss_dice: 0.6905, loss: 15.1851, grad_norm: 47.0222 2023-11-12 10:27:52,547 - mmseg - INFO - Iter [83700/160000] lr: 4.769e-05, eta: 10:40:26, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2261, decode.loss_mask: 0.4980, decode.loss_dice: 0.7228, decode.d0.loss_cls: 1.2053, decode.d0.loss_mask: 0.5273, decode.d0.loss_dice: 0.7785, decode.d1.loss_cls: 0.2925, decode.d1.loss_mask: 0.5131, decode.d1.loss_dice: 0.7594, decode.d2.loss_cls: 0.2576, decode.d2.loss_mask: 0.5024, decode.d2.loss_dice: 0.7415, decode.d3.loss_cls: 0.2436, decode.d3.loss_mask: 0.4990, decode.d3.loss_dice: 0.7247, decode.d4.loss_cls: 0.2333, decode.d4.loss_mask: 0.5000, decode.d4.loss_dice: 0.7268, decode.d5.loss_cls: 0.2368, decode.d5.loss_mask: 0.4984, decode.d5.loss_dice: 0.7288, decode.d6.loss_cls: 0.2307, decode.d6.loss_mask: 0.4980, decode.d6.loss_dice: 0.7246, decode.d7.loss_cls: 0.2264, decode.d7.loss_mask: 0.4966, decode.d7.loss_dice: 0.7240, decode.d8.loss_cls: 0.2215, decode.d8.loss_mask: 0.4974, decode.d8.loss_dice: 0.7252, loss: 15.7604, grad_norm: 48.2937 2023-11-12 10:28:16,408 - mmseg - INFO - Iter [83750/160000] lr: 4.766e-05, eta: 10:40:00, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2252, decode.loss_mask: 0.4712, decode.loss_dice: 0.7278, decode.d0.loss_cls: 1.2165, decode.d0.loss_mask: 0.5097, decode.d0.loss_dice: 0.7966, decode.d1.loss_cls: 0.2942, decode.d1.loss_mask: 0.4891, decode.d1.loss_dice: 0.7631, decode.d2.loss_cls: 0.2572, decode.d2.loss_mask: 0.4778, decode.d2.loss_dice: 0.7445, decode.d3.loss_cls: 0.2454, decode.d3.loss_mask: 0.4759, decode.d3.loss_dice: 0.7326, decode.d4.loss_cls: 0.2374, decode.d4.loss_mask: 0.4761, decode.d4.loss_dice: 0.7344, decode.d5.loss_cls: 0.2356, decode.d5.loss_mask: 0.4734, decode.d5.loss_dice: 0.7309, decode.d6.loss_cls: 0.2284, decode.d6.loss_mask: 0.4730, decode.d6.loss_dice: 0.7274, decode.d7.loss_cls: 0.2300, decode.d7.loss_mask: 0.4729, decode.d7.loss_dice: 0.7297, decode.d8.loss_cls: 0.2229, decode.d8.loss_mask: 0.4721, decode.d8.loss_dice: 0.7319, loss: 15.6028, grad_norm: 45.6714 2023-11-12 10:28:40,390 - mmseg - INFO - Iter [83800/160000] lr: 4.763e-05, eta: 10:39:33, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2377, decode.loss_mask: 0.4709, decode.loss_dice: 0.7211, decode.d0.loss_cls: 1.2143, decode.d0.loss_mask: 0.4998, decode.d0.loss_dice: 0.7801, decode.d1.loss_cls: 0.3196, decode.d1.loss_mask: 0.4823, decode.d1.loss_dice: 0.7501, decode.d2.loss_cls: 0.2706, decode.d2.loss_mask: 0.4761, decode.d2.loss_dice: 0.7305, decode.d3.loss_cls: 0.2621, decode.d3.loss_mask: 0.4724, decode.d3.loss_dice: 0.7199, decode.d4.loss_cls: 0.2538, decode.d4.loss_mask: 0.4725, decode.d4.loss_dice: 0.7232, decode.d5.loss_cls: 0.2453, decode.d5.loss_mask: 0.4704, decode.d5.loss_dice: 0.7187, decode.d6.loss_cls: 0.2451, decode.d6.loss_mask: 0.4698, decode.d6.loss_dice: 0.7170, decode.d7.loss_cls: 0.2421, decode.d7.loss_mask: 0.4704, decode.d7.loss_dice: 0.7175, decode.d8.loss_cls: 0.2379, decode.d8.loss_mask: 0.4724, decode.d8.loss_dice: 0.7244, loss: 15.5881, grad_norm: 44.7667 2023-11-12 10:29:04,283 - mmseg - INFO - Iter [83850/160000] lr: 4.759e-05, eta: 10:39:07, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2030, decode.loss_mask: 0.4607, decode.loss_dice: 0.7082, decode.d0.loss_cls: 1.1925, decode.d0.loss_mask: 0.4896, decode.d0.loss_dice: 0.7746, decode.d1.loss_cls: 0.2813, decode.d1.loss_mask: 0.4727, decode.d1.loss_dice: 0.7471, decode.d2.loss_cls: 0.2395, decode.d2.loss_mask: 0.4661, decode.d2.loss_dice: 0.7229, decode.d3.loss_cls: 0.2197, decode.d3.loss_mask: 0.4641, decode.d3.loss_dice: 0.7120, decode.d4.loss_cls: 0.2143, decode.d4.loss_mask: 0.4628, decode.d4.loss_dice: 0.7100, decode.d5.loss_cls: 0.2142, decode.d5.loss_mask: 0.4629, decode.d5.loss_dice: 0.7082, decode.d6.loss_cls: 0.2072, decode.d6.loss_mask: 0.4603, decode.d6.loss_dice: 0.7047, decode.d7.loss_cls: 0.2068, decode.d7.loss_mask: 0.4591, decode.d7.loss_dice: 0.7038, decode.d8.loss_cls: 0.2011, decode.d8.loss_mask: 0.4603, decode.d8.loss_dice: 0.7067, loss: 15.0363, grad_norm: 42.9897 2023-11-12 10:29:28,341 - mmseg - INFO - Iter [83900/160000] lr: 4.756e-05, eta: 10:38:41, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2238, decode.loss_mask: 0.4688, decode.loss_dice: 0.6960, decode.d0.loss_cls: 1.2018, decode.d0.loss_mask: 0.5087, decode.d0.loss_dice: 0.7657, decode.d1.loss_cls: 0.2918, decode.d1.loss_mask: 0.4876, decode.d1.loss_dice: 0.7310, decode.d2.loss_cls: 0.2527, decode.d2.loss_mask: 0.4751, decode.d2.loss_dice: 0.7125, decode.d3.loss_cls: 0.2365, decode.d3.loss_mask: 0.4702, decode.d3.loss_dice: 0.6985, decode.d4.loss_cls: 0.2335, decode.d4.loss_mask: 0.4692, decode.d4.loss_dice: 0.6993, decode.d5.loss_cls: 0.2304, decode.d5.loss_mask: 0.4689, decode.d5.loss_dice: 0.6969, decode.d6.loss_cls: 0.2337, decode.d6.loss_mask: 0.4681, decode.d6.loss_dice: 0.6939, decode.d7.loss_cls: 0.2206, decode.d7.loss_mask: 0.4705, decode.d7.loss_dice: 0.6986, decode.d8.loss_cls: 0.2234, decode.d8.loss_mask: 0.4686, decode.d8.loss_dice: 0.6980, loss: 15.1944, grad_norm: 47.1400 2023-11-12 10:29:52,407 - mmseg - INFO - Iter [83950/160000] lr: 4.753e-05, eta: 10:38:15, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2182, decode.loss_mask: 0.4899, decode.loss_dice: 0.7047, decode.d0.loss_cls: 1.1822, decode.d0.loss_mask: 0.5274, decode.d0.loss_dice: 0.7680, decode.d1.loss_cls: 0.2863, decode.d1.loss_mask: 0.5046, decode.d1.loss_dice: 0.7365, decode.d2.loss_cls: 0.2450, decode.d2.loss_mask: 0.4948, decode.d2.loss_dice: 0.7261, decode.d3.loss_cls: 0.2342, decode.d3.loss_mask: 0.4902, decode.d3.loss_dice: 0.7078, decode.d4.loss_cls: 0.2274, decode.d4.loss_mask: 0.4885, decode.d4.loss_dice: 0.7097, decode.d5.loss_cls: 0.2270, decode.d5.loss_mask: 0.4907, decode.d5.loss_dice: 0.7085, decode.d6.loss_cls: 0.2227, decode.d6.loss_mask: 0.4911, decode.d6.loss_dice: 0.7067, decode.d7.loss_cls: 0.2217, decode.d7.loss_mask: 0.4902, decode.d7.loss_dice: 0.7080, decode.d8.loss_cls: 0.2175, decode.d8.loss_mask: 0.4886, decode.d8.loss_dice: 0.7063, loss: 15.4204, grad_norm: 47.9640 2023-11-12 10:30:16,302 - mmseg - INFO - Saving checkpoint at 84000 iterations 2023-11-12 10:30:20,091 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 10:30:20,091 - mmseg - INFO - Iter [84000/160000] lr: 4.750e-05, eta: 10:37:52, time: 0.554, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2226, decode.loss_mask: 0.4673, decode.loss_dice: 0.6954, decode.d0.loss_cls: 1.2276, decode.d0.loss_mask: 0.4993, decode.d0.loss_dice: 0.7659, decode.d1.loss_cls: 0.2861, decode.d1.loss_mask: 0.4865, decode.d1.loss_dice: 0.7372, decode.d2.loss_cls: 0.2489, decode.d2.loss_mask: 0.4773, decode.d2.loss_dice: 0.7216, decode.d3.loss_cls: 0.2331, decode.d3.loss_mask: 0.4735, decode.d3.loss_dice: 0.7050, decode.d4.loss_cls: 0.2263, decode.d4.loss_mask: 0.4711, decode.d4.loss_dice: 0.7033, decode.d5.loss_cls: 0.2222, decode.d5.loss_mask: 0.4696, decode.d5.loss_dice: 0.7006, decode.d6.loss_cls: 0.2262, decode.d6.loss_mask: 0.4679, decode.d6.loss_dice: 0.6989, decode.d7.loss_cls: 0.2210, decode.d7.loss_mask: 0.4684, decode.d7.loss_dice: 0.7035, decode.d8.loss_cls: 0.2176, decode.d8.loss_mask: 0.4678, decode.d8.loss_dice: 0.6996, loss: 15.2114, grad_norm: 45.5296 2023-11-12 10:30:38,958 - mmseg - INFO - per class results: 2023-11-12 10:30:38,963 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.01 | 86.65 | | building | 82.05 | 90.1 | | sky | 94.92 | 97.11 | | floor | 82.99 | 91.41 | | tree | 75.79 | 89.81 | | ceiling | 84.26 | 92.35 | | road | 86.14 | 91.96 | | bed | 90.07 | 95.75 | | windowpane | 62.76 | 77.56 | | grass | 66.54 | 79.56 | | cabinet | 65.93 | 80.79 | | sidewalk | 68.03 | 81.36 | | person | 84.94 | 92.19 | | earth | 38.65 | 57.04 | | door | 51.32 | 66.83 | | table | 66.22 | 78.39 | | mountain | 62.41 | 69.63 | | plant | 52.61 | 65.45 | | curtain | 77.72 | 88.65 | | chair | 61.0 | 73.0 | | car | 85.55 | 91.04 | | water | 53.59 | 67.15 | | painting | 74.29 | 91.85 | | sofa | 68.98 | 81.52 | | shelf | 43.42 | 60.11 | | house | 41.96 | 71.8 | | sea | 68.96 | 90.21 | | mirror | 70.18 | 84.3 | | rug | 63.01 | 72.86 | | field | 25.48 | 45.77 | | armchair | 46.64 | 73.48 | | seat | 61.39 | 79.6 | | fence | 48.53 | 65.06 | | desk | 50.96 | 75.62 | | rock | 50.88 | 73.77 | | wardrobe | 52.22 | 68.17 | | lamp | 70.5 | 84.17 | | bathtub | 76.54 | 86.75 | | railing | 35.82 | 55.2 | | cushion | 61.57 | 72.49 | | base | 34.15 | 53.84 | | box | 27.73 | 40.82 | | column | 41.65 | 53.8 | | signboard | 36.0 | 58.73 | | chest of drawers | 39.53 | 60.46 | | counter | 18.67 | 26.89 | | sand | 40.33 | 45.47 | | sink | 78.95 | 83.41 | | skyscraper | 35.1 | 44.87 | | fireplace | 76.02 | 93.39 | | refrigerator | 80.11 | 91.64 | | grandstand | 39.39 | 76.24 | | path | 24.59 | 33.37 | | stairs | 35.9 | 46.48 | | runway | 69.95 | 92.36 | | case | 66.91 | 80.66 | | pool table | 94.72 | 96.77 | | pillow | 57.86 | 74.22 | | screen door | 75.24 | 91.54 | | stairway | 32.69 | 38.57 | | river | 20.42 | 44.2 | | bridge | 66.36 | 91.25 | | bookcase | 34.76 | 61.36 | | blind | 38.28 | 45.77 | | coffee table | 65.91 | 85.64 | | toilet | 86.13 | 91.37 | | flower | 46.56 | 58.82 | | book | 45.83 | 73.21 | | hill | 9.91 | 26.87 | | bench | 47.95 | 54.47 | | countertop | 62.58 | 77.46 | | stove | 81.07 | 86.58 | | palm | 56.85 | 74.37 | | kitchen island | 48.52 | 89.2 | | computer | 72.07 | 78.62 | | swivel chair | 38.28 | 59.96 | | boat | 44.84 | 52.71 | | bar | 24.71 | 35.33 | | arcade machine | 87.55 | 93.93 | | hovel | 25.56 | 41.78 | | bus | 94.44 | 96.91 | | towel | 70.73 | 81.09 | | light | 59.21 | 75.38 | | truck | 31.3 | 60.58 | | tower | 26.95 | 48.0 | | chandelier | 73.15 | 87.28 | | awning | 38.98 | 49.21 | | streetlight | 41.58 | 60.09 | | booth | 32.38 | 43.35 | | television receiver | 77.5 | 87.04 | | airplane | 53.24 | 74.8 | | dirt track | 2.72 | 17.53 | | apparel | 27.2 | 48.46 | | pole | 34.68 | 56.11 | | land | 8.98 | 23.24 | | bannister | 25.71 | 33.87 | | escalator | 30.7 | 40.24 | | ottoman | 57.25 | 73.22 | | bottle | 31.69 | 43.89 | | buffet | 43.27 | 53.98 | | poster | 28.51 | 42.46 | | stage | 15.22 | 31.96 | | van | 53.09 | 72.51 | | ship | 12.89 | 19.37 | | fountain | 21.37 | 21.86 | | conveyer belt | 47.88 | 76.98 | | canopy | 38.47 | 47.73 | | washer | 72.21 | 74.21 | | plaything | 48.89 | 64.95 | | swimming pool | 32.13 | 42.39 | | stool | 48.49 | 67.63 | | barrel | 88.16 | 97.37 | | basket | 43.74 | 52.87 | | waterfall | 44.47 | 64.02 | | tent | 96.21 | 98.25 | | bag | 21.49 | 28.72 | | minibike | 75.42 | 90.77 | | cradle | 84.55 | 97.22 | | oven | 24.56 | 66.39 | | ball | 41.71 | 50.39 | | food | 64.4 | 81.05 | | step | 21.96 | 27.79 | | tank | 55.7 | 58.51 | | trade name | 18.68 | 23.2 | | microwave | 41.76 | 46.44 | | pot | 49.0 | 58.47 | | animal | 62.05 | 64.19 | | bicycle | 61.74 | 79.27 | | lake | 57.75 | 63.44 | | dishwasher | 79.31 | 84.78 | | screen | 67.02 | 88.6 | | blanket | 28.22 | 39.29 | | sculpture | 65.13 | 86.97 | | hood | 65.06 | 76.02 | | sconce | 55.22 | 72.68 | | vase | 48.87 | 70.74 | | traffic light | 44.13 | 64.66 | | tray | 17.07 | 25.15 | | ashcan | 47.54 | 70.59 | | fan | 68.6 | 84.98 | | pier | 13.81 | 15.82 | | crt screen | 0.58 | 1.6 | | plate | 60.8 | 71.69 | | monitor | 8.63 | 12.78 | | bulletin board | 47.6 | 72.84 | | shower | 10.77 | 22.01 | | radiator | 69.09 | 84.1 | | glass | 20.53 | 22.04 | | clock | 35.77 | 44.15 | | flag | 46.72 | 52.67 | +---------------------+-------+-------+ 2023-11-12 10:30:38,963 - mmseg - INFO - Summary: 2023-11-12 10:30:38,963 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.68 | 51.52 | 65.15 | +-------+-------+-------+ 2023-11-12 10:30:38,964 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 10:30:38,964 - mmseg - INFO - Iter(val) [250] aAcc: 0.8368, mIoU: 0.5152, mAcc: 0.6515, IoU.wall: 0.7901, IoU.building: 0.8205, IoU.sky: 0.9492, IoU.floor: 0.8299, IoU.tree: 0.7579, IoU.ceiling: 0.8426, IoU.road: 0.8614, IoU.bed : 0.9007, IoU.windowpane: 0.6276, IoU.grass: 0.6654, IoU.cabinet: 0.6593, IoU.sidewalk: 0.6803, IoU.person: 0.8494, IoU.earth: 0.3865, IoU.door: 0.5132, IoU.table: 0.6622, IoU.mountain: 0.6241, IoU.plant: 0.5261, IoU.curtain: 0.7772, IoU.chair: 0.6100, IoU.car: 0.8555, IoU.water: 0.5359, IoU.painting: 0.7429, IoU.sofa: 0.6898, IoU.shelf: 0.4342, IoU.house: 0.4196, IoU.sea: 0.6896, IoU.mirror: 0.7018, IoU.rug: 0.6301, IoU.field: 0.2548, IoU.armchair: 0.4664, IoU.seat: 0.6139, IoU.fence: 0.4853, IoU.desk: 0.5096, IoU.rock: 0.5088, IoU.wardrobe: 0.5222, IoU.lamp: 0.7050, IoU.bathtub: 0.7654, IoU.railing: 0.3582, IoU.cushion: 0.6157, IoU.base: 0.3415, IoU.box: 0.2773, IoU.column: 0.4165, IoU.signboard: 0.3600, IoU.chest of drawers: 0.3953, IoU.counter: 0.1867, IoU.sand: 0.4033, IoU.sink: 0.7895, IoU.skyscraper: 0.3510, IoU.fireplace: 0.7602, IoU.refrigerator: 0.8011, IoU.grandstand: 0.3939, IoU.path: 0.2459, IoU.stairs: 0.3590, IoU.runway: 0.6995, IoU.case: 0.6691, IoU.pool table: 0.9472, IoU.pillow: 0.5786, IoU.screen door: 0.7524, IoU.stairway: 0.3269, IoU.river: 0.2042, IoU.bridge: 0.6636, IoU.bookcase: 0.3476, IoU.blind: 0.3828, IoU.coffee table: 0.6591, IoU.toilet: 0.8613, IoU.flower: 0.4656, IoU.book: 0.4583, IoU.hill: 0.0991, IoU.bench: 0.4795, IoU.countertop: 0.6258, IoU.stove: 0.8107, IoU.palm: 0.5685, IoU.kitchen island: 0.4852, IoU.computer: 0.7207, IoU.swivel chair: 0.3828, IoU.boat: 0.4484, IoU.bar: 0.2471, IoU.arcade machine: 0.8755, IoU.hovel: 0.2556, IoU.bus: 0.9444, IoU.towel: 0.7073, IoU.light: 0.5921, IoU.truck: 0.3130, IoU.tower: 0.2695, IoU.chandelier: 0.7315, IoU.awning: 0.3898, IoU.streetlight: 0.4158, IoU.booth: 0.3238, IoU.television receiver: 0.7750, IoU.airplane: 0.5324, IoU.dirt track: 0.0272, IoU.apparel: 0.2720, IoU.pole: 0.3468, IoU.land: 0.0898, IoU.bannister: 0.2571, IoU.escalator: 0.3070, IoU.ottoman: 0.5725, IoU.bottle: 0.3169, IoU.buffet: 0.4327, IoU.poster: 0.2851, IoU.stage: 0.1522, IoU.van: 0.5309, IoU.ship: 0.1289, IoU.fountain: 0.2137, IoU.conveyer belt: 0.4788, IoU.canopy: 0.3847, IoU.washer: 0.7221, IoU.plaything: 0.4889, IoU.swimming pool: 0.3213, IoU.stool: 0.4849, IoU.barrel: 0.8816, IoU.basket: 0.4374, IoU.waterfall: 0.4447, IoU.tent: 0.9621, IoU.bag: 0.2149, IoU.minibike: 0.7542, IoU.cradle: 0.8455, IoU.oven: 0.2456, IoU.ball: 0.4171, IoU.food: 0.6440, IoU.step: 0.2196, IoU.tank: 0.5570, IoU.trade name: 0.1868, IoU.microwave: 0.4176, IoU.pot: 0.4900, IoU.animal: 0.6205, IoU.bicycle: 0.6174, IoU.lake: 0.5775, IoU.dishwasher: 0.7931, IoU.screen: 0.6702, IoU.blanket: 0.2822, IoU.sculpture: 0.6513, IoU.hood: 0.6506, IoU.sconce: 0.5522, IoU.vase: 0.4887, IoU.traffic light: 0.4413, IoU.tray: 0.1707, IoU.ashcan: 0.4754, IoU.fan: 0.6860, IoU.pier: 0.1381, IoU.crt screen: 0.0058, IoU.plate: 0.6080, IoU.monitor: 0.0863, IoU.bulletin board: 0.4760, IoU.shower: 0.1077, IoU.radiator: 0.6909, IoU.glass: 0.2053, IoU.clock: 0.3577, IoU.flag: 0.4672, Acc.wall: 0.8665, Acc.building: 0.9010, Acc.sky: 0.9711, Acc.floor: 0.9141, Acc.tree: 0.8981, Acc.ceiling: 0.9235, Acc.road: 0.9196, Acc.bed : 0.9575, Acc.windowpane: 0.7756, Acc.grass: 0.7956, Acc.cabinet: 0.8079, Acc.sidewalk: 0.8136, Acc.person: 0.9219, Acc.earth: 0.5704, Acc.door: 0.6683, Acc.table: 0.7839, Acc.mountain: 0.6963, Acc.plant: 0.6545, Acc.curtain: 0.8865, Acc.chair: 0.7300, Acc.car: 0.9104, Acc.water: 0.6715, Acc.painting: 0.9185, Acc.sofa: 0.8152, Acc.shelf: 0.6011, Acc.house: 0.7180, Acc.sea: 0.9021, Acc.mirror: 0.8430, Acc.rug: 0.7286, Acc.field: 0.4577, Acc.armchair: 0.7348, Acc.seat: 0.7960, Acc.fence: 0.6506, Acc.desk: 0.7562, Acc.rock: 0.7377, Acc.wardrobe: 0.6817, Acc.lamp: 0.8417, Acc.bathtub: 0.8675, Acc.railing: 0.5520, Acc.cushion: 0.7249, Acc.base: 0.5384, Acc.box: 0.4082, Acc.column: 0.5380, Acc.signboard: 0.5873, Acc.chest of drawers: 0.6046, Acc.counter: 0.2689, Acc.sand: 0.4547, Acc.sink: 0.8341, Acc.skyscraper: 0.4487, Acc.fireplace: 0.9339, Acc.refrigerator: 0.9164, Acc.grandstand: 0.7624, Acc.path: 0.3337, Acc.stairs: 0.4648, Acc.runway: 0.9236, Acc.case: 0.8066, Acc.pool table: 0.9677, Acc.pillow: 0.7422, Acc.screen door: 0.9154, Acc.stairway: 0.3857, Acc.river: 0.4420, Acc.bridge: 0.9125, Acc.bookcase: 0.6136, Acc.blind: 0.4577, Acc.coffee table: 0.8564, Acc.toilet: 0.9137, Acc.flower: 0.5882, Acc.book: 0.7321, Acc.hill: 0.2687, Acc.bench: 0.5447, Acc.countertop: 0.7746, Acc.stove: 0.8658, Acc.palm: 0.7437, Acc.kitchen island: 0.8920, Acc.computer: 0.7862, Acc.swivel chair: 0.5996, Acc.boat: 0.5271, Acc.bar: 0.3533, Acc.arcade machine: 0.9393, Acc.hovel: 0.4178, Acc.bus: 0.9691, Acc.towel: 0.8109, Acc.light: 0.7538, Acc.truck: 0.6058, Acc.tower: 0.4800, Acc.chandelier: 0.8728, Acc.awning: 0.4921, Acc.streetlight: 0.6009, Acc.booth: 0.4335, Acc.television receiver: 0.8704, Acc.airplane: 0.7480, Acc.dirt track: 0.1753, Acc.apparel: 0.4846, Acc.pole: 0.5611, Acc.land: 0.2324, Acc.bannister: 0.3387, Acc.escalator: 0.4024, Acc.ottoman: 0.7322, Acc.bottle: 0.4389, Acc.buffet: 0.5398, Acc.poster: 0.4246, Acc.stage: 0.3196, Acc.van: 0.7251, Acc.ship: 0.1937, Acc.fountain: 0.2186, Acc.conveyer belt: 0.7698, Acc.canopy: 0.4773, Acc.washer: 0.7421, Acc.plaything: 0.6495, Acc.swimming pool: 0.4239, Acc.stool: 0.6763, Acc.barrel: 0.9737, Acc.basket: 0.5287, Acc.waterfall: 0.6402, Acc.tent: 0.9825, Acc.bag: 0.2872, Acc.minibike: 0.9077, Acc.cradle: 0.9722, Acc.oven: 0.6639, Acc.ball: 0.5039, Acc.food: 0.8105, Acc.step: 0.2779, Acc.tank: 0.5851, Acc.trade name: 0.2320, Acc.microwave: 0.4644, Acc.pot: 0.5847, Acc.animal: 0.6419, Acc.bicycle: 0.7927, Acc.lake: 0.6344, Acc.dishwasher: 0.8478, Acc.screen: 0.8860, Acc.blanket: 0.3929, Acc.sculpture: 0.8697, Acc.hood: 0.7602, Acc.sconce: 0.7268, Acc.vase: 0.7074, Acc.traffic light: 0.6466, Acc.tray: 0.2515, Acc.ashcan: 0.7059, Acc.fan: 0.8498, Acc.pier: 0.1582, Acc.crt screen: 0.0160, Acc.plate: 0.7169, Acc.monitor: 0.1278, Acc.bulletin board: 0.7284, Acc.shower: 0.2201, Acc.radiator: 0.8410, Acc.glass: 0.2204, Acc.clock: 0.4415, Acc.flag: 0.5267 2023-11-12 10:31:02,553 - mmseg - INFO - Iter [84050/160000] lr: 4.747e-05, eta: 10:37:42, time: 0.849, data_time: 0.389, memory: 41146, decode.loss_cls: 0.2281, decode.loss_mask: 0.4912, decode.loss_dice: 0.7174, decode.d0.loss_cls: 1.2120, decode.d0.loss_mask: 0.5222, decode.d0.loss_dice: 0.7828, decode.d1.loss_cls: 0.2896, decode.d1.loss_mask: 0.5078, decode.d1.loss_dice: 0.7534, decode.d2.loss_cls: 0.2544, decode.d2.loss_mask: 0.5012, decode.d2.loss_dice: 0.7304, decode.d3.loss_cls: 0.2447, decode.d3.loss_mask: 0.4932, decode.d3.loss_dice: 0.7212, decode.d4.loss_cls: 0.2390, decode.d4.loss_mask: 0.4906, decode.d4.loss_dice: 0.7202, decode.d5.loss_cls: 0.2347, decode.d5.loss_mask: 0.4931, decode.d5.loss_dice: 0.7183, decode.d6.loss_cls: 0.2319, decode.d6.loss_mask: 0.4914, decode.d6.loss_dice: 0.7169, decode.d7.loss_cls: 0.2263, decode.d7.loss_mask: 0.4921, decode.d7.loss_dice: 0.7188, decode.d8.loss_cls: 0.2287, decode.d8.loss_mask: 0.4905, decode.d8.loss_dice: 0.7188, loss: 15.6608, grad_norm: 46.6726 2023-11-12 10:31:26,415 - mmseg - INFO - Iter [84100/160000] lr: 4.744e-05, eta: 10:37:16, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2196, decode.loss_mask: 0.4656, decode.loss_dice: 0.7177, decode.d0.loss_cls: 1.2012, decode.d0.loss_mask: 0.5006, decode.d0.loss_dice: 0.7779, decode.d1.loss_cls: 0.2819, decode.d1.loss_mask: 0.4818, decode.d1.loss_dice: 0.7604, decode.d2.loss_cls: 0.2541, decode.d2.loss_mask: 0.4735, decode.d2.loss_dice: 0.7337, decode.d3.loss_cls: 0.2427, decode.d3.loss_mask: 0.4684, decode.d3.loss_dice: 0.7194, decode.d4.loss_cls: 0.2347, decode.d4.loss_mask: 0.4665, decode.d4.loss_dice: 0.7193, decode.d5.loss_cls: 0.2329, decode.d5.loss_mask: 0.4674, decode.d5.loss_dice: 0.7190, decode.d6.loss_cls: 0.2301, decode.d6.loss_mask: 0.4653, decode.d6.loss_dice: 0.7177, decode.d7.loss_cls: 0.2248, decode.d7.loss_mask: 0.4654, decode.d7.loss_dice: 0.7178, decode.d8.loss_cls: 0.2251, decode.d8.loss_mask: 0.4662, decode.d8.loss_dice: 0.7173, loss: 15.3679, grad_norm: 49.5102 2023-11-12 10:31:50,935 - mmseg - INFO - Iter [84150/160000] lr: 4.741e-05, eta: 10:36:50, time: 0.490, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2232, decode.loss_mask: 0.4733, decode.loss_dice: 0.7013, decode.d0.loss_cls: 1.2262, decode.d0.loss_mask: 0.5106, decode.d0.loss_dice: 0.7644, decode.d1.loss_cls: 0.2997, decode.d1.loss_mask: 0.4890, decode.d1.loss_dice: 0.7366, decode.d2.loss_cls: 0.2581, decode.d2.loss_mask: 0.4849, decode.d2.loss_dice: 0.7227, decode.d3.loss_cls: 0.2433, decode.d3.loss_mask: 0.4778, decode.d3.loss_dice: 0.7066, decode.d4.loss_cls: 0.2343, decode.d4.loss_mask: 0.4762, decode.d4.loss_dice: 0.7055, decode.d5.loss_cls: 0.2289, decode.d5.loss_mask: 0.4757, decode.d5.loss_dice: 0.7026, decode.d6.loss_cls: 0.2256, decode.d6.loss_mask: 0.4755, decode.d6.loss_dice: 0.7004, decode.d7.loss_cls: 0.2208, decode.d7.loss_mask: 0.4739, decode.d7.loss_dice: 0.7027, decode.d8.loss_cls: 0.2207, decode.d8.loss_mask: 0.4759, decode.d8.loss_dice: 0.7010, loss: 15.3372, grad_norm: 52.0746 2023-11-12 10:32:14,820 - mmseg - INFO - Iter [84200/160000] lr: 4.738e-05, eta: 10:36:24, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2197, decode.loss_mask: 0.4704, decode.loss_dice: 0.6999, decode.d0.loss_cls: 1.2349, decode.d0.loss_mask: 0.5038, decode.d0.loss_dice: 0.7675, decode.d1.loss_cls: 0.2964, decode.d1.loss_mask: 0.4850, decode.d1.loss_dice: 0.7436, decode.d2.loss_cls: 0.2604, decode.d2.loss_mask: 0.4789, decode.d2.loss_dice: 0.7186, decode.d3.loss_cls: 0.2418, decode.d3.loss_mask: 0.4716, decode.d3.loss_dice: 0.7064, decode.d4.loss_cls: 0.2382, decode.d4.loss_mask: 0.4702, decode.d4.loss_dice: 0.7068, decode.d5.loss_cls: 0.2273, decode.d5.loss_mask: 0.4722, decode.d5.loss_dice: 0.7094, decode.d6.loss_cls: 0.2234, decode.d6.loss_mask: 0.4712, decode.d6.loss_dice: 0.7013, decode.d7.loss_cls: 0.2224, decode.d7.loss_mask: 0.4697, decode.d7.loss_dice: 0.7026, decode.d8.loss_cls: 0.2221, decode.d8.loss_mask: 0.4699, decode.d8.loss_dice: 0.7033, loss: 15.3090, grad_norm: 45.2392 2023-11-12 10:32:38,766 - mmseg - INFO - Iter [84250/160000] lr: 4.734e-05, eta: 10:35:57, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2186, decode.loss_mask: 0.4611, decode.loss_dice: 0.6930, decode.d0.loss_cls: 1.1896, decode.d0.loss_mask: 0.4991, decode.d0.loss_dice: 0.7675, decode.d1.loss_cls: 0.2891, decode.d1.loss_mask: 0.4790, decode.d1.loss_dice: 0.7312, decode.d2.loss_cls: 0.2578, decode.d2.loss_mask: 0.4696, decode.d2.loss_dice: 0.7139, decode.d3.loss_cls: 0.2386, decode.d3.loss_mask: 0.4664, decode.d3.loss_dice: 0.7054, decode.d4.loss_cls: 0.2294, decode.d4.loss_mask: 0.4634, decode.d4.loss_dice: 0.7022, decode.d5.loss_cls: 0.2258, decode.d5.loss_mask: 0.4629, decode.d5.loss_dice: 0.6984, decode.d6.loss_cls: 0.2255, decode.d6.loss_mask: 0.4636, decode.d6.loss_dice: 0.6883, decode.d7.loss_cls: 0.2169, decode.d7.loss_mask: 0.4627, decode.d7.loss_dice: 0.6957, decode.d8.loss_cls: 0.2177, decode.d8.loss_mask: 0.4633, decode.d8.loss_dice: 0.6953, loss: 15.0906, grad_norm: 44.7249 2023-11-12 10:33:02,720 - mmseg - INFO - Iter [84300/160000] lr: 4.731e-05, eta: 10:35:31, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2259, decode.loss_mask: 0.4731, decode.loss_dice: 0.7261, decode.d0.loss_cls: 1.2580, decode.d0.loss_mask: 0.5043, decode.d0.loss_dice: 0.7929, decode.d1.loss_cls: 0.3056, decode.d1.loss_mask: 0.4899, decode.d1.loss_dice: 0.7700, decode.d2.loss_cls: 0.2700, decode.d2.loss_mask: 0.4768, decode.d2.loss_dice: 0.7430, decode.d3.loss_cls: 0.2485, decode.d3.loss_mask: 0.4738, decode.d3.loss_dice: 0.7316, decode.d4.loss_cls: 0.2437, decode.d4.loss_mask: 0.4745, decode.d4.loss_dice: 0.7323, decode.d5.loss_cls: 0.2317, decode.d5.loss_mask: 0.4750, decode.d5.loss_dice: 0.7330, decode.d6.loss_cls: 0.2306, decode.d6.loss_mask: 0.4729, decode.d6.loss_dice: 0.7268, decode.d7.loss_cls: 0.2299, decode.d7.loss_mask: 0.4726, decode.d7.loss_dice: 0.7269, decode.d8.loss_cls: 0.2288, decode.d8.loss_mask: 0.4738, decode.d8.loss_dice: 0.7252, loss: 15.6670, grad_norm: 50.7463 2023-11-12 10:33:26,862 - mmseg - INFO - Iter [84350/160000] lr: 4.728e-05, eta: 10:35:05, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2162, decode.loss_mask: 0.4805, decode.loss_dice: 0.7243, decode.d0.loss_cls: 1.2247, decode.d0.loss_mask: 0.5145, decode.d0.loss_dice: 0.7904, decode.d1.loss_cls: 0.2915, decode.d1.loss_mask: 0.4941, decode.d1.loss_dice: 0.7562, decode.d2.loss_cls: 0.2522, decode.d2.loss_mask: 0.4882, decode.d2.loss_dice: 0.7420, decode.d3.loss_cls: 0.2394, decode.d3.loss_mask: 0.4827, decode.d3.loss_dice: 0.7249, decode.d4.loss_cls: 0.2233, decode.d4.loss_mask: 0.4823, decode.d4.loss_dice: 0.7286, decode.d5.loss_cls: 0.2192, decode.d5.loss_mask: 0.4821, decode.d5.loss_dice: 0.7282, decode.d6.loss_cls: 0.2247, decode.d6.loss_mask: 0.4799, decode.d6.loss_dice: 0.7246, decode.d7.loss_cls: 0.2179, decode.d7.loss_mask: 0.4798, decode.d7.loss_dice: 0.7252, decode.d8.loss_cls: 0.2228, decode.d8.loss_mask: 0.4805, decode.d8.loss_dice: 0.7207, loss: 15.5616, grad_norm: 45.8257 2023-11-12 10:33:50,535 - mmseg - INFO - Iter [84400/160000] lr: 4.725e-05, eta: 10:34:38, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2305, decode.loss_mask: 0.4804, decode.loss_dice: 0.7255, decode.d0.loss_cls: 1.2016, decode.d0.loss_mask: 0.5210, decode.d0.loss_dice: 0.7960, decode.d1.loss_cls: 0.3085, decode.d1.loss_mask: 0.4998, decode.d1.loss_dice: 0.7638, decode.d2.loss_cls: 0.2638, decode.d2.loss_mask: 0.4894, decode.d2.loss_dice: 0.7401, decode.d3.loss_cls: 0.2571, decode.d3.loss_mask: 0.4814, decode.d3.loss_dice: 0.7257, decode.d4.loss_cls: 0.2453, decode.d4.loss_mask: 0.4816, decode.d4.loss_dice: 0.7271, decode.d5.loss_cls: 0.2377, decode.d5.loss_mask: 0.4809, decode.d5.loss_dice: 0.7237, decode.d6.loss_cls: 0.2351, decode.d6.loss_mask: 0.4813, decode.d6.loss_dice: 0.7226, decode.d7.loss_cls: 0.2318, decode.d7.loss_mask: 0.4810, decode.d7.loss_dice: 0.7250, decode.d8.loss_cls: 0.2310, decode.d8.loss_mask: 0.4804, decode.d8.loss_dice: 0.7212, loss: 15.6904, grad_norm: 46.8728 2023-11-12 10:34:14,204 - mmseg - INFO - Iter [84450/160000] lr: 4.722e-05, eta: 10:34:12, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2291, decode.loss_mask: 0.4862, decode.loss_dice: 0.7301, decode.d0.loss_cls: 1.2306, decode.d0.loss_mask: 0.5255, decode.d0.loss_dice: 0.8026, decode.d1.loss_cls: 0.3043, decode.d1.loss_mask: 0.5016, decode.d1.loss_dice: 0.7694, decode.d2.loss_cls: 0.2634, decode.d2.loss_mask: 0.4947, decode.d2.loss_dice: 0.7494, decode.d3.loss_cls: 0.2488, decode.d3.loss_mask: 0.4893, decode.d3.loss_dice: 0.7392, decode.d4.loss_cls: 0.2388, decode.d4.loss_mask: 0.4892, decode.d4.loss_dice: 0.7338, decode.d5.loss_cls: 0.2374, decode.d5.loss_mask: 0.4904, decode.d5.loss_dice: 0.7347, decode.d6.loss_cls: 0.2331, decode.d6.loss_mask: 0.4883, decode.d6.loss_dice: 0.7297, decode.d7.loss_cls: 0.2322, decode.d7.loss_mask: 0.4871, decode.d7.loss_dice: 0.7284, decode.d8.loss_cls: 0.2308, decode.d8.loss_mask: 0.4852, decode.d8.loss_dice: 0.7289, loss: 15.8320, grad_norm: 52.0162 2023-11-12 10:34:37,973 - mmseg - INFO - Iter [84500/160000] lr: 4.719e-05, eta: 10:33:45, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2212, decode.loss_mask: 0.4696, decode.loss_dice: 0.7246, decode.d0.loss_cls: 1.2601, decode.d0.loss_mask: 0.4980, decode.d0.loss_dice: 0.7884, decode.d1.loss_cls: 0.2996, decode.d1.loss_mask: 0.4831, decode.d1.loss_dice: 0.7578, decode.d2.loss_cls: 0.2609, decode.d2.loss_mask: 0.4724, decode.d2.loss_dice: 0.7433, decode.d3.loss_cls: 0.2451, decode.d3.loss_mask: 0.4684, decode.d3.loss_dice: 0.7289, decode.d4.loss_cls: 0.2377, decode.d4.loss_mask: 0.4691, decode.d4.loss_dice: 0.7262, decode.d5.loss_cls: 0.2349, decode.d5.loss_mask: 0.4702, decode.d5.loss_dice: 0.7239, decode.d6.loss_cls: 0.2374, decode.d6.loss_mask: 0.4691, decode.d6.loss_dice: 0.7170, decode.d7.loss_cls: 0.2260, decode.d7.loss_mask: 0.4698, decode.d7.loss_dice: 0.7214, decode.d8.loss_cls: 0.2260, decode.d8.loss_mask: 0.4693, decode.d8.loss_dice: 0.7227, loss: 15.5421, grad_norm: 44.2326 2023-11-12 10:35:01,865 - mmseg - INFO - Iter [84550/160000] lr: 4.716e-05, eta: 10:33:19, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2187, decode.loss_mask: 0.4570, decode.loss_dice: 0.7018, decode.d0.loss_cls: 1.2430, decode.d0.loss_mask: 0.4927, decode.d0.loss_dice: 0.7691, decode.d1.loss_cls: 0.3025, decode.d1.loss_mask: 0.4710, decode.d1.loss_dice: 0.7427, decode.d2.loss_cls: 0.2623, decode.d2.loss_mask: 0.4625, decode.d2.loss_dice: 0.7198, decode.d3.loss_cls: 0.2381, decode.d3.loss_mask: 0.4606, decode.d3.loss_dice: 0.7074, decode.d4.loss_cls: 0.2272, decode.d4.loss_mask: 0.4600, decode.d4.loss_dice: 0.7025, decode.d5.loss_cls: 0.2282, decode.d5.loss_mask: 0.4559, decode.d5.loss_dice: 0.7043, decode.d6.loss_cls: 0.2246, decode.d6.loss_mask: 0.4567, decode.d6.loss_dice: 0.6997, decode.d7.loss_cls: 0.2190, decode.d7.loss_mask: 0.4567, decode.d7.loss_dice: 0.7016, decode.d8.loss_cls: 0.2180, decode.d8.loss_mask: 0.4570, decode.d8.loss_dice: 0.7052, loss: 15.1655, grad_norm: 49.0319 2023-11-12 10:35:25,774 - mmseg - INFO - Iter [84600/160000] lr: 4.713e-05, eta: 10:32:53, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2218, decode.loss_mask: 0.4721, decode.loss_dice: 0.7209, decode.d0.loss_cls: 1.2257, decode.d0.loss_mask: 0.5118, decode.d0.loss_dice: 0.7874, decode.d1.loss_cls: 0.2841, decode.d1.loss_mask: 0.4874, decode.d1.loss_dice: 0.7571, decode.d2.loss_cls: 0.2506, decode.d2.loss_mask: 0.4775, decode.d2.loss_dice: 0.7395, decode.d3.loss_cls: 0.2319, decode.d3.loss_mask: 0.4744, decode.d3.loss_dice: 0.7264, decode.d4.loss_cls: 0.2312, decode.d4.loss_mask: 0.4731, decode.d4.loss_dice: 0.7281, decode.d5.loss_cls: 0.2297, decode.d5.loss_mask: 0.4725, decode.d5.loss_dice: 0.7251, decode.d6.loss_cls: 0.2290, decode.d6.loss_mask: 0.4726, decode.d6.loss_dice: 0.7199, decode.d7.loss_cls: 0.2261, decode.d7.loss_mask: 0.4700, decode.d7.loss_dice: 0.7214, decode.d8.loss_cls: 0.2216, decode.d8.loss_mask: 0.4722, decode.d8.loss_dice: 0.7203, loss: 15.4813, grad_norm: 45.6967 2023-11-12 10:35:52,250 - mmseg - INFO - Iter [84650/160000] lr: 4.709e-05, eta: 10:32:29, time: 0.530, data_time: 0.059, memory: 41146, decode.loss_cls: 0.2296, decode.loss_mask: 0.4724, decode.loss_dice: 0.7311, decode.d0.loss_cls: 1.2317, decode.d0.loss_mask: 0.5089, decode.d0.loss_dice: 0.8071, decode.d1.loss_cls: 0.3002, decode.d1.loss_mask: 0.4913, decode.d1.loss_dice: 0.7666, decode.d2.loss_cls: 0.2641, decode.d2.loss_mask: 0.4810, decode.d2.loss_dice: 0.7531, decode.d3.loss_cls: 0.2456, decode.d3.loss_mask: 0.4779, decode.d3.loss_dice: 0.7410, decode.d4.loss_cls: 0.2433, decode.d4.loss_mask: 0.4737, decode.d4.loss_dice: 0.7344, decode.d5.loss_cls: 0.2335, decode.d5.loss_mask: 0.4744, decode.d5.loss_dice: 0.7337, decode.d6.loss_cls: 0.2336, decode.d6.loss_mask: 0.4736, decode.d6.loss_dice: 0.7248, decode.d7.loss_cls: 0.2271, decode.d7.loss_mask: 0.4728, decode.d7.loss_dice: 0.7286, decode.d8.loss_cls: 0.2305, decode.d8.loss_mask: 0.4729, decode.d8.loss_dice: 0.7318, loss: 15.6900, grad_norm: 48.3991 2023-11-12 10:36:16,102 - mmseg - INFO - Iter [84700/160000] lr: 4.706e-05, eta: 10:32:02, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2144, decode.loss_mask: 0.4844, decode.loss_dice: 0.7047, decode.d0.loss_cls: 1.1867, decode.d0.loss_mask: 0.5200, decode.d0.loss_dice: 0.7680, decode.d1.loss_cls: 0.2778, decode.d1.loss_mask: 0.4989, decode.d1.loss_dice: 0.7425, decode.d2.loss_cls: 0.2431, decode.d2.loss_mask: 0.4886, decode.d2.loss_dice: 0.7286, decode.d3.loss_cls: 0.2315, decode.d3.loss_mask: 0.4838, decode.d3.loss_dice: 0.7113, decode.d4.loss_cls: 0.2266, decode.d4.loss_mask: 0.4849, decode.d4.loss_dice: 0.7107, decode.d5.loss_cls: 0.2192, decode.d5.loss_mask: 0.4865, decode.d5.loss_dice: 0.7103, decode.d6.loss_cls: 0.2172, decode.d6.loss_mask: 0.4841, decode.d6.loss_dice: 0.7047, decode.d7.loss_cls: 0.2224, decode.d7.loss_mask: 0.4836, decode.d7.loss_dice: 0.7068, decode.d8.loss_cls: 0.2127, decode.d8.loss_mask: 0.4853, decode.d8.loss_dice: 0.7091, loss: 15.3484, grad_norm: 47.5439 2023-11-12 10:36:40,190 - mmseg - INFO - Iter [84750/160000] lr: 4.703e-05, eta: 10:31:36, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2119, decode.loss_mask: 0.4922, decode.loss_dice: 0.7212, decode.d0.loss_cls: 1.1984, decode.d0.loss_mask: 0.5242, decode.d0.loss_dice: 0.7883, decode.d1.loss_cls: 0.2804, decode.d1.loss_mask: 0.5079, decode.d1.loss_dice: 0.7557, decode.d2.loss_cls: 0.2551, decode.d2.loss_mask: 0.4966, decode.d2.loss_dice: 0.7378, decode.d3.loss_cls: 0.2346, decode.d3.loss_mask: 0.4927, decode.d3.loss_dice: 0.7233, decode.d4.loss_cls: 0.2249, decode.d4.loss_mask: 0.4948, decode.d4.loss_dice: 0.7247, decode.d5.loss_cls: 0.2200, decode.d5.loss_mask: 0.4926, decode.d5.loss_dice: 0.7222, decode.d6.loss_cls: 0.2205, decode.d6.loss_mask: 0.4927, decode.d6.loss_dice: 0.7185, decode.d7.loss_cls: 0.2155, decode.d7.loss_mask: 0.4910, decode.d7.loss_dice: 0.7215, decode.d8.loss_cls: 0.2142, decode.d8.loss_mask: 0.4922, decode.d8.loss_dice: 0.7226, loss: 15.5882, grad_norm: 50.2850 2023-11-12 10:37:04,394 - mmseg - INFO - Iter [84800/160000] lr: 4.700e-05, eta: 10:31:10, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2246, decode.loss_mask: 0.4766, decode.loss_dice: 0.7098, decode.d0.loss_cls: 1.2260, decode.d0.loss_mask: 0.5118, decode.d0.loss_dice: 0.7708, decode.d1.loss_cls: 0.2976, decode.d1.loss_mask: 0.4916, decode.d1.loss_dice: 0.7434, decode.d2.loss_cls: 0.2511, decode.d2.loss_mask: 0.4863, decode.d2.loss_dice: 0.7266, decode.d3.loss_cls: 0.2393, decode.d3.loss_mask: 0.4832, decode.d3.loss_dice: 0.7165, decode.d4.loss_cls: 0.2303, decode.d4.loss_mask: 0.4796, decode.d4.loss_dice: 0.7149, decode.d5.loss_cls: 0.2219, decode.d5.loss_mask: 0.4788, decode.d5.loss_dice: 0.7166, decode.d6.loss_cls: 0.2254, decode.d6.loss_mask: 0.4781, decode.d6.loss_dice: 0.7118, decode.d7.loss_cls: 0.2223, decode.d7.loss_mask: 0.4760, decode.d7.loss_dice: 0.7094, decode.d8.loss_cls: 0.2189, decode.d8.loss_mask: 0.4768, decode.d8.loss_dice: 0.7090, loss: 15.4250, grad_norm: 48.5634 2023-11-12 10:37:28,131 - mmseg - INFO - Iter [84850/160000] lr: 4.697e-05, eta: 10:30:44, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2192, decode.loss_mask: 0.4674, decode.loss_dice: 0.7148, decode.d0.loss_cls: 1.2184, decode.d0.loss_mask: 0.5004, decode.d0.loss_dice: 0.7839, decode.d1.loss_cls: 0.2856, decode.d1.loss_mask: 0.4810, decode.d1.loss_dice: 0.7539, decode.d2.loss_cls: 0.2510, decode.d2.loss_mask: 0.4729, decode.d2.loss_dice: 0.7333, decode.d3.loss_cls: 0.2342, decode.d3.loss_mask: 0.4716, decode.d3.loss_dice: 0.7210, decode.d4.loss_cls: 0.2252, decode.d4.loss_mask: 0.4695, decode.d4.loss_dice: 0.7230, decode.d5.loss_cls: 0.2231, decode.d5.loss_mask: 0.4707, decode.d5.loss_dice: 0.7219, decode.d6.loss_cls: 0.2223, decode.d6.loss_mask: 0.4691, decode.d6.loss_dice: 0.7181, decode.d7.loss_cls: 0.2189, decode.d7.loss_mask: 0.4696, decode.d7.loss_dice: 0.7160, decode.d8.loss_cls: 0.2192, decode.d8.loss_mask: 0.4682, decode.d8.loss_dice: 0.7161, loss: 15.3597, grad_norm: 47.9398 2023-11-12 10:37:52,176 - mmseg - INFO - Iter [84900/160000] lr: 4.694e-05, eta: 10:30:17, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2435, decode.loss_mask: 0.4640, decode.loss_dice: 0.7291, decode.d0.loss_cls: 1.2261, decode.d0.loss_mask: 0.4954, decode.d0.loss_dice: 0.7913, decode.d1.loss_cls: 0.3066, decode.d1.loss_mask: 0.4815, decode.d1.loss_dice: 0.7645, decode.d2.loss_cls: 0.2800, decode.d2.loss_mask: 0.4697, decode.d2.loss_dice: 0.7466, decode.d3.loss_cls: 0.2620, decode.d3.loss_mask: 0.4680, decode.d3.loss_dice: 0.7356, decode.d4.loss_cls: 0.2537, decode.d4.loss_mask: 0.4657, decode.d4.loss_dice: 0.7355, decode.d5.loss_cls: 0.2507, decode.d5.loss_mask: 0.4648, decode.d5.loss_dice: 0.7301, decode.d6.loss_cls: 0.2476, decode.d6.loss_mask: 0.4646, decode.d6.loss_dice: 0.7267, decode.d7.loss_cls: 0.2446, decode.d7.loss_mask: 0.4640, decode.d7.loss_dice: 0.7285, decode.d8.loss_cls: 0.2400, decode.d8.loss_mask: 0.4665, decode.d8.loss_dice: 0.7289, loss: 15.6758, grad_norm: 47.7115 2023-11-12 10:38:15,928 - mmseg - INFO - Iter [84950/160000] lr: 4.691e-05, eta: 10:29:51, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2357, decode.loss_mask: 0.4662, decode.loss_dice: 0.7002, decode.d0.loss_cls: 1.2184, decode.d0.loss_mask: 0.5024, decode.d0.loss_dice: 0.7644, decode.d1.loss_cls: 0.3112, decode.d1.loss_mask: 0.4764, decode.d1.loss_dice: 0.7394, decode.d2.loss_cls: 0.2679, decode.d2.loss_mask: 0.4709, decode.d2.loss_dice: 0.7183, decode.d3.loss_cls: 0.2525, decode.d3.loss_mask: 0.4673, decode.d3.loss_dice: 0.7050, decode.d4.loss_cls: 0.2449, decode.d4.loss_mask: 0.4667, decode.d4.loss_dice: 0.7005, decode.d5.loss_cls: 0.2457, decode.d5.loss_mask: 0.4674, decode.d5.loss_dice: 0.7059, decode.d6.loss_cls: 0.2409, decode.d6.loss_mask: 0.4652, decode.d6.loss_dice: 0.6967, decode.d7.loss_cls: 0.2396, decode.d7.loss_mask: 0.4646, decode.d7.loss_dice: 0.6993, decode.d8.loss_cls: 0.2343, decode.d8.loss_mask: 0.4658, decode.d8.loss_dice: 0.6998, loss: 15.3332, grad_norm: 46.1086 2023-11-12 10:38:40,040 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 10:38:40,041 - mmseg - INFO - Iter [85000/160000] lr: 4.688e-05, eta: 10:29:25, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2181, decode.loss_mask: 0.4441, decode.loss_dice: 0.6836, decode.d0.loss_cls: 1.2186, decode.d0.loss_mask: 0.4745, decode.d0.loss_dice: 0.7512, decode.d1.loss_cls: 0.2933, decode.d1.loss_mask: 0.4571, decode.d1.loss_dice: 0.7221, decode.d2.loss_cls: 0.2490, decode.d2.loss_mask: 0.4502, decode.d2.loss_dice: 0.7030, decode.d3.loss_cls: 0.2367, decode.d3.loss_mask: 0.4452, decode.d3.loss_dice: 0.6874, decode.d4.loss_cls: 0.2277, decode.d4.loss_mask: 0.4449, decode.d4.loss_dice: 0.6920, decode.d5.loss_cls: 0.2242, decode.d5.loss_mask: 0.4443, decode.d5.loss_dice: 0.6876, decode.d6.loss_cls: 0.2196, decode.d6.loss_mask: 0.4457, decode.d6.loss_dice: 0.6907, decode.d7.loss_cls: 0.2192, decode.d7.loss_mask: 0.4451, decode.d7.loss_dice: 0.6864, decode.d8.loss_cls: 0.2210, decode.d8.loss_mask: 0.4441, decode.d8.loss_dice: 0.6838, loss: 14.8105, grad_norm: 45.4144 2023-11-12 10:39:03,956 - mmseg - INFO - Iter [85050/160000] lr: 4.684e-05, eta: 10:28:59, time: 0.478, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2236, decode.loss_mask: 0.4648, decode.loss_dice: 0.6858, decode.d0.loss_cls: 1.2226, decode.d0.loss_mask: 0.4979, decode.d0.loss_dice: 0.7506, decode.d1.loss_cls: 0.2920, decode.d1.loss_mask: 0.4804, decode.d1.loss_dice: 0.7251, decode.d2.loss_cls: 0.2572, decode.d2.loss_mask: 0.4694, decode.d2.loss_dice: 0.7018, decode.d3.loss_cls: 0.2436, decode.d3.loss_mask: 0.4667, decode.d3.loss_dice: 0.6897, decode.d4.loss_cls: 0.2365, decode.d4.loss_mask: 0.4662, decode.d4.loss_dice: 0.6901, decode.d5.loss_cls: 0.2315, decode.d5.loss_mask: 0.4645, decode.d5.loss_dice: 0.6882, decode.d6.loss_cls: 0.2264, decode.d6.loss_mask: 0.4643, decode.d6.loss_dice: 0.6826, decode.d7.loss_cls: 0.2241, decode.d7.loss_mask: 0.4641, decode.d7.loss_dice: 0.6892, decode.d8.loss_cls: 0.2238, decode.d8.loss_mask: 0.4645, decode.d8.loss_dice: 0.6876, loss: 15.0746, grad_norm: 44.0429 2023-11-12 10:39:27,801 - mmseg - INFO - Iter [85100/160000] lr: 4.681e-05, eta: 10:28:32, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2200, decode.loss_mask: 0.4691, decode.loss_dice: 0.7141, decode.d0.loss_cls: 1.2053, decode.d0.loss_mask: 0.5045, decode.d0.loss_dice: 0.7757, decode.d1.loss_cls: 0.2845, decode.d1.loss_mask: 0.4856, decode.d1.loss_dice: 0.7477, decode.d2.loss_cls: 0.2514, decode.d2.loss_mask: 0.4795, decode.d2.loss_dice: 0.7337, decode.d3.loss_cls: 0.2423, decode.d3.loss_mask: 0.4741, decode.d3.loss_dice: 0.7171, decode.d4.loss_cls: 0.2332, decode.d4.loss_mask: 0.4735, decode.d4.loss_dice: 0.7172, decode.d5.loss_cls: 0.2292, decode.d5.loss_mask: 0.4690, decode.d5.loss_dice: 0.7181, decode.d6.loss_cls: 0.2263, decode.d6.loss_mask: 0.4701, decode.d6.loss_dice: 0.7111, decode.d7.loss_cls: 0.2246, decode.d7.loss_mask: 0.4684, decode.d7.loss_dice: 0.7122, decode.d8.loss_cls: 0.2183, decode.d8.loss_mask: 0.4689, decode.d8.loss_dice: 0.7156, loss: 15.3601, grad_norm: 47.2011 2023-11-12 10:39:51,641 - mmseg - INFO - Iter [85150/160000] lr: 4.678e-05, eta: 10:28:06, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2296, decode.loss_mask: 0.4742, decode.loss_dice: 0.7130, decode.d0.loss_cls: 1.2052, decode.d0.loss_mask: 0.5013, decode.d0.loss_dice: 0.7761, decode.d1.loss_cls: 0.2841, decode.d1.loss_mask: 0.4862, decode.d1.loss_dice: 0.7503, decode.d2.loss_cls: 0.2530, decode.d2.loss_mask: 0.4815, decode.d2.loss_dice: 0.7325, decode.d3.loss_cls: 0.2398, decode.d3.loss_mask: 0.4749, decode.d3.loss_dice: 0.7185, decode.d4.loss_cls: 0.2361, decode.d4.loss_mask: 0.4765, decode.d4.loss_dice: 0.7193, decode.d5.loss_cls: 0.2314, decode.d5.loss_mask: 0.4741, decode.d5.loss_dice: 0.7184, decode.d6.loss_cls: 0.2359, decode.d6.loss_mask: 0.4735, decode.d6.loss_dice: 0.7160, decode.d7.loss_cls: 0.2293, decode.d7.loss_mask: 0.4739, decode.d7.loss_dice: 0.7162, decode.d8.loss_cls: 0.2253, decode.d8.loss_mask: 0.4737, decode.d8.loss_dice: 0.7171, loss: 15.4367, grad_norm: 49.6146 2023-11-12 10:40:15,553 - mmseg - INFO - Iter [85200/160000] lr: 4.675e-05, eta: 10:27:40, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2307, decode.loss_mask: 0.4833, decode.loss_dice: 0.7323, decode.d0.loss_cls: 1.2328, decode.d0.loss_mask: 0.5227, decode.d0.loss_dice: 0.8003, decode.d1.loss_cls: 0.3092, decode.d1.loss_mask: 0.4983, decode.d1.loss_dice: 0.7655, decode.d2.loss_cls: 0.2574, decode.d2.loss_mask: 0.4954, decode.d2.loss_dice: 0.7503, decode.d3.loss_cls: 0.2514, decode.d3.loss_mask: 0.4882, decode.d3.loss_dice: 0.7345, decode.d4.loss_cls: 0.2426, decode.d4.loss_mask: 0.4861, decode.d4.loss_dice: 0.7338, decode.d5.loss_cls: 0.2409, decode.d5.loss_mask: 0.4849, decode.d5.loss_dice: 0.7351, decode.d6.loss_cls: 0.2389, decode.d6.loss_mask: 0.4848, decode.d6.loss_dice: 0.7320, decode.d7.loss_cls: 0.2355, decode.d7.loss_mask: 0.4834, decode.d7.loss_dice: 0.7364, decode.d8.loss_cls: 0.2342, decode.d8.loss_mask: 0.4830, decode.d8.loss_dice: 0.7306, loss: 15.8343, grad_norm: 50.3332 2023-11-12 10:40:39,511 - mmseg - INFO - Iter [85250/160000] lr: 4.672e-05, eta: 10:27:13, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2483, decode.loss_mask: 0.4942, decode.loss_dice: 0.7311, decode.d0.loss_cls: 1.2363, decode.d0.loss_mask: 0.5274, decode.d0.loss_dice: 0.8013, decode.d1.loss_cls: 0.3159, decode.d1.loss_mask: 0.5102, decode.d1.loss_dice: 0.7720, decode.d2.loss_cls: 0.2815, decode.d2.loss_mask: 0.5026, decode.d2.loss_dice: 0.7534, decode.d3.loss_cls: 0.2662, decode.d3.loss_mask: 0.4967, decode.d3.loss_dice: 0.7394, decode.d4.loss_cls: 0.2568, decode.d4.loss_mask: 0.4970, decode.d4.loss_dice: 0.7401, decode.d5.loss_cls: 0.2551, decode.d5.loss_mask: 0.4957, decode.d5.loss_dice: 0.7354, decode.d6.loss_cls: 0.2503, decode.d6.loss_mask: 0.4949, decode.d6.loss_dice: 0.7324, decode.d7.loss_cls: 0.2445, decode.d7.loss_mask: 0.4949, decode.d7.loss_dice: 0.7340, decode.d8.loss_cls: 0.2480, decode.d8.loss_mask: 0.4936, decode.d8.loss_dice: 0.7315, loss: 16.0804, grad_norm: 55.2414 2023-11-12 10:41:03,266 - mmseg - INFO - Iter [85300/160000] lr: 4.669e-05, eta: 10:26:47, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2085, decode.loss_mask: 0.4818, decode.loss_dice: 0.6767, decode.d0.loss_cls: 1.1961, decode.d0.loss_mask: 0.5204, decode.d0.loss_dice: 0.7350, decode.d1.loss_cls: 0.2685, decode.d1.loss_mask: 0.4966, decode.d1.loss_dice: 0.7089, decode.d2.loss_cls: 0.2389, decode.d2.loss_mask: 0.4862, decode.d2.loss_dice: 0.6913, decode.d3.loss_cls: 0.2345, decode.d3.loss_mask: 0.4846, decode.d3.loss_dice: 0.6762, decode.d4.loss_cls: 0.2204, decode.d4.loss_mask: 0.4858, decode.d4.loss_dice: 0.6771, decode.d5.loss_cls: 0.2176, decode.d5.loss_mask: 0.4845, decode.d5.loss_dice: 0.6739, decode.d6.loss_cls: 0.2128, decode.d6.loss_mask: 0.4824, decode.d6.loss_dice: 0.6761, decode.d7.loss_cls: 0.2087, decode.d7.loss_mask: 0.4816, decode.d7.loss_dice: 0.6764, decode.d8.loss_cls: 0.2139, decode.d8.loss_mask: 0.4816, decode.d8.loss_dice: 0.6759, loss: 14.9730, grad_norm: 47.3925 2023-11-12 10:41:27,045 - mmseg - INFO - Iter [85350/160000] lr: 4.666e-05, eta: 10:26:21, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2298, decode.loss_mask: 0.4658, decode.loss_dice: 0.7066, decode.d0.loss_cls: 1.2305, decode.d0.loss_mask: 0.4998, decode.d0.loss_dice: 0.7804, decode.d1.loss_cls: 0.2929, decode.d1.loss_mask: 0.4830, decode.d1.loss_dice: 0.7451, decode.d2.loss_cls: 0.2608, decode.d2.loss_mask: 0.4749, decode.d2.loss_dice: 0.7319, decode.d3.loss_cls: 0.2474, decode.d3.loss_mask: 0.4697, decode.d3.loss_dice: 0.7135, decode.d4.loss_cls: 0.2345, decode.d4.loss_mask: 0.4679, decode.d4.loss_dice: 0.7133, decode.d5.loss_cls: 0.2350, decode.d5.loss_mask: 0.4654, decode.d5.loss_dice: 0.7089, decode.d6.loss_cls: 0.2359, decode.d6.loss_mask: 0.4653, decode.d6.loss_dice: 0.7061, decode.d7.loss_cls: 0.2300, decode.d7.loss_mask: 0.4659, decode.d7.loss_dice: 0.7052, decode.d8.loss_cls: 0.2307, decode.d8.loss_mask: 0.4646, decode.d8.loss_dice: 0.7081, loss: 15.3688, grad_norm: 46.2998 2023-11-12 10:41:50,998 - mmseg - INFO - Iter [85400/160000] lr: 4.663e-05, eta: 10:25:54, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2269, decode.loss_mask: 0.4857, decode.loss_dice: 0.7256, decode.d0.loss_cls: 1.2250, decode.d0.loss_mask: 0.5247, decode.d0.loss_dice: 0.7985, decode.d1.loss_cls: 0.2927, decode.d1.loss_mask: 0.5017, decode.d1.loss_dice: 0.7717, decode.d2.loss_cls: 0.2637, decode.d2.loss_mask: 0.4947, decode.d2.loss_dice: 0.7473, decode.d3.loss_cls: 0.2449, decode.d3.loss_mask: 0.4923, decode.d3.loss_dice: 0.7340, decode.d4.loss_cls: 0.2420, decode.d4.loss_mask: 0.4873, decode.d4.loss_dice: 0.7224, decode.d5.loss_cls: 0.2339, decode.d5.loss_mask: 0.4873, decode.d5.loss_dice: 0.7320, decode.d6.loss_cls: 0.2350, decode.d6.loss_mask: 0.4870, decode.d6.loss_dice: 0.7275, decode.d7.loss_cls: 0.2339, decode.d7.loss_mask: 0.4875, decode.d7.loss_dice: 0.7263, decode.d8.loss_cls: 0.2281, decode.d8.loss_mask: 0.4877, decode.d8.loss_dice: 0.7326, loss: 15.7798, grad_norm: 48.0433 2023-11-12 10:42:14,849 - mmseg - INFO - Iter [85450/160000] lr: 4.659e-05, eta: 10:25:28, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2260, decode.loss_mask: 0.4600, decode.loss_dice: 0.7103, decode.d0.loss_cls: 1.2039, decode.d0.loss_mask: 0.4919, decode.d0.loss_dice: 0.7737, decode.d1.loss_cls: 0.2989, decode.d1.loss_mask: 0.4739, decode.d1.loss_dice: 0.7452, decode.d2.loss_cls: 0.2596, decode.d2.loss_mask: 0.4660, decode.d2.loss_dice: 0.7305, decode.d3.loss_cls: 0.2419, decode.d3.loss_mask: 0.4624, decode.d3.loss_dice: 0.7133, decode.d4.loss_cls: 0.2359, decode.d4.loss_mask: 0.4630, decode.d4.loss_dice: 0.7145, decode.d5.loss_cls: 0.2352, decode.d5.loss_mask: 0.4610, decode.d5.loss_dice: 0.7150, decode.d6.loss_cls: 0.2225, decode.d6.loss_mask: 0.4626, decode.d6.loss_dice: 0.7194, decode.d7.loss_cls: 0.2249, decode.d7.loss_mask: 0.4614, decode.d7.loss_dice: 0.7168, decode.d8.loss_cls: 0.2277, decode.d8.loss_mask: 0.4617, decode.d8.loss_dice: 0.7130, loss: 15.2920, grad_norm: 47.7834 2023-11-12 10:42:38,841 - mmseg - INFO - Iter [85500/160000] lr: 4.656e-05, eta: 10:25:02, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2277, decode.loss_mask: 0.4517, decode.loss_dice: 0.6877, decode.d0.loss_cls: 1.2312, decode.d0.loss_mask: 0.4854, decode.d0.loss_dice: 0.7595, decode.d1.loss_cls: 0.2920, decode.d1.loss_mask: 0.4647, decode.d1.loss_dice: 0.7275, decode.d2.loss_cls: 0.2600, decode.d2.loss_mask: 0.4585, decode.d2.loss_dice: 0.7062, decode.d3.loss_cls: 0.2448, decode.d3.loss_mask: 0.4526, decode.d3.loss_dice: 0.6942, decode.d4.loss_cls: 0.2425, decode.d4.loss_mask: 0.4531, decode.d4.loss_dice: 0.6912, decode.d5.loss_cls: 0.2338, decode.d5.loss_mask: 0.4511, decode.d5.loss_dice: 0.6926, decode.d6.loss_cls: 0.2333, decode.d6.loss_mask: 0.4524, decode.d6.loss_dice: 0.6880, decode.d7.loss_cls: 0.2323, decode.d7.loss_mask: 0.4504, decode.d7.loss_dice: 0.6877, decode.d8.loss_cls: 0.2268, decode.d8.loss_mask: 0.4519, decode.d8.loss_dice: 0.6883, loss: 15.0191, grad_norm: 43.8005 2023-11-12 10:43:02,839 - mmseg - INFO - Iter [85550/160000] lr: 4.653e-05, eta: 10:24:36, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2183, decode.loss_mask: 0.4558, decode.loss_dice: 0.6967, decode.d0.loss_cls: 1.1925, decode.d0.loss_mask: 0.4919, decode.d0.loss_dice: 0.7702, decode.d1.loss_cls: 0.2987, decode.d1.loss_mask: 0.4716, decode.d1.loss_dice: 0.7284, decode.d2.loss_cls: 0.2527, decode.d2.loss_mask: 0.4624, decode.d2.loss_dice: 0.7119, decode.d3.loss_cls: 0.2364, decode.d3.loss_mask: 0.4589, decode.d3.loss_dice: 0.7001, decode.d4.loss_cls: 0.2307, decode.d4.loss_mask: 0.4575, decode.d4.loss_dice: 0.6979, decode.d5.loss_cls: 0.2259, decode.d5.loss_mask: 0.4574, decode.d5.loss_dice: 0.6995, decode.d6.loss_cls: 0.2268, decode.d6.loss_mask: 0.4578, decode.d6.loss_dice: 0.6934, decode.d7.loss_cls: 0.2167, decode.d7.loss_mask: 0.4579, decode.d7.loss_dice: 0.7002, decode.d8.loss_cls: 0.2208, decode.d8.loss_mask: 0.4548, decode.d8.loss_dice: 0.6978, loss: 15.0415, grad_norm: 45.9410 2023-11-12 10:43:26,862 - mmseg - INFO - Iter [85600/160000] lr: 4.650e-05, eta: 10:24:09, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2169, decode.loss_mask: 0.4828, decode.loss_dice: 0.7051, decode.d0.loss_cls: 1.1819, decode.d0.loss_mask: 0.5165, decode.d0.loss_dice: 0.7763, decode.d1.loss_cls: 0.2871, decode.d1.loss_mask: 0.4964, decode.d1.loss_dice: 0.7486, decode.d2.loss_cls: 0.2516, decode.d2.loss_mask: 0.4893, decode.d2.loss_dice: 0.7242, decode.d3.loss_cls: 0.2413, decode.d3.loss_mask: 0.4814, decode.d3.loss_dice: 0.7077, decode.d4.loss_cls: 0.2334, decode.d4.loss_mask: 0.4818, decode.d4.loss_dice: 0.7107, decode.d5.loss_cls: 0.2260, decode.d5.loss_mask: 0.4809, decode.d5.loss_dice: 0.7086, decode.d6.loss_cls: 0.2211, decode.d6.loss_mask: 0.4790, decode.d6.loss_dice: 0.7041, decode.d7.loss_cls: 0.2164, decode.d7.loss_mask: 0.4816, decode.d7.loss_dice: 0.7068, decode.d8.loss_cls: 0.2143, decode.d8.loss_mask: 0.4827, decode.d8.loss_dice: 0.7056, loss: 15.3599, grad_norm: 47.9695 2023-11-12 10:43:50,619 - mmseg - INFO - Iter [85650/160000] lr: 4.647e-05, eta: 10:23:43, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2405, decode.loss_mask: 0.4856, decode.loss_dice: 0.7092, decode.d0.loss_cls: 1.2412, decode.d0.loss_mask: 0.5245, decode.d0.loss_dice: 0.7764, decode.d1.loss_cls: 0.3092, decode.d1.loss_mask: 0.5024, decode.d1.loss_dice: 0.7475, decode.d2.loss_cls: 0.2765, decode.d2.loss_mask: 0.4947, decode.d2.loss_dice: 0.7241, decode.d3.loss_cls: 0.2579, decode.d3.loss_mask: 0.4873, decode.d3.loss_dice: 0.7153, decode.d4.loss_cls: 0.2517, decode.d4.loss_mask: 0.4873, decode.d4.loss_dice: 0.7151, decode.d5.loss_cls: 0.2475, decode.d5.loss_mask: 0.4872, decode.d5.loss_dice: 0.7125, decode.d6.loss_cls: 0.2434, decode.d6.loss_mask: 0.4868, decode.d6.loss_dice: 0.7068, decode.d7.loss_cls: 0.2410, decode.d7.loss_mask: 0.4863, decode.d7.loss_dice: 0.7089, decode.d8.loss_cls: 0.2406, decode.d8.loss_mask: 0.4865, decode.d8.loss_dice: 0.7056, loss: 15.6996, grad_norm: 47.7919 2023-11-12 10:44:14,493 - mmseg - INFO - Iter [85700/160000] lr: 4.644e-05, eta: 10:23:17, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2114, decode.loss_mask: 0.4713, decode.loss_dice: 0.7178, decode.d0.loss_cls: 1.1917, decode.d0.loss_mask: 0.5044, decode.d0.loss_dice: 0.7821, decode.d1.loss_cls: 0.2850, decode.d1.loss_mask: 0.4851, decode.d1.loss_dice: 0.7522, decode.d2.loss_cls: 0.2505, decode.d2.loss_mask: 0.4790, decode.d2.loss_dice: 0.7336, decode.d3.loss_cls: 0.2337, decode.d3.loss_mask: 0.4739, decode.d3.loss_dice: 0.7157, decode.d4.loss_cls: 0.2224, decode.d4.loss_mask: 0.4730, decode.d4.loss_dice: 0.7170, decode.d5.loss_cls: 0.2238, decode.d5.loss_mask: 0.4723, decode.d5.loss_dice: 0.7193, decode.d6.loss_cls: 0.2148, decode.d6.loss_mask: 0.4709, decode.d6.loss_dice: 0.7155, decode.d7.loss_cls: 0.2129, decode.d7.loss_mask: 0.4719, decode.d7.loss_dice: 0.7198, decode.d8.loss_cls: 0.2133, decode.d8.loss_mask: 0.4713, decode.d8.loss_dice: 0.7200, loss: 15.3255, grad_norm: 42.5614 2023-11-12 10:44:38,274 - mmseg - INFO - Iter [85750/160000] lr: 4.641e-05, eta: 10:22:50, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2095, decode.loss_mask: 0.4709, decode.loss_dice: 0.7177, decode.d0.loss_cls: 1.2052, decode.d0.loss_mask: 0.5065, decode.d0.loss_dice: 0.7790, decode.d1.loss_cls: 0.2809, decode.d1.loss_mask: 0.4850, decode.d1.loss_dice: 0.7516, decode.d2.loss_cls: 0.2461, decode.d2.loss_mask: 0.4777, decode.d2.loss_dice: 0.7359, decode.d3.loss_cls: 0.2309, decode.d3.loss_mask: 0.4733, decode.d3.loss_dice: 0.7189, decode.d4.loss_cls: 0.2215, decode.d4.loss_mask: 0.4718, decode.d4.loss_dice: 0.7192, decode.d5.loss_cls: 0.2183, decode.d5.loss_mask: 0.4727, decode.d5.loss_dice: 0.7183, decode.d6.loss_cls: 0.2178, decode.d6.loss_mask: 0.4715, decode.d6.loss_dice: 0.7168, decode.d7.loss_cls: 0.2132, decode.d7.loss_mask: 0.4724, decode.d7.loss_dice: 0.7191, decode.d8.loss_cls: 0.2101, decode.d8.loss_mask: 0.4721, decode.d8.loss_dice: 0.7161, loss: 15.3199, grad_norm: 47.7730 2023-11-12 10:45:02,134 - mmseg - INFO - Iter [85800/160000] lr: 4.638e-05, eta: 10:22:24, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2245, decode.loss_mask: 0.4577, decode.loss_dice: 0.7104, decode.d0.loss_cls: 1.2109, decode.d0.loss_mask: 0.4935, decode.d0.loss_dice: 0.7668, decode.d1.loss_cls: 0.2895, decode.d1.loss_mask: 0.4772, decode.d1.loss_dice: 0.7469, decode.d2.loss_cls: 0.2581, decode.d2.loss_mask: 0.4681, decode.d2.loss_dice: 0.7330, decode.d3.loss_cls: 0.2498, decode.d3.loss_mask: 0.4598, decode.d3.loss_dice: 0.7133, decode.d4.loss_cls: 0.2418, decode.d4.loss_mask: 0.4601, decode.d4.loss_dice: 0.7186, decode.d5.loss_cls: 0.2363, decode.d5.loss_mask: 0.4600, decode.d5.loss_dice: 0.7150, decode.d6.loss_cls: 0.2323, decode.d6.loss_mask: 0.4610, decode.d6.loss_dice: 0.7127, decode.d7.loss_cls: 0.2312, decode.d7.loss_mask: 0.4582, decode.d7.loss_dice: 0.7098, decode.d8.loss_cls: 0.2287, decode.d8.loss_mask: 0.4579, decode.d8.loss_dice: 0.7119, loss: 15.2948, grad_norm: 43.9882 2023-11-12 10:45:26,139 - mmseg - INFO - Iter [85850/160000] lr: 4.634e-05, eta: 10:21:58, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1976, decode.loss_mask: 0.4766, decode.loss_dice: 0.7005, decode.d0.loss_cls: 1.1670, decode.d0.loss_mask: 0.5092, decode.d0.loss_dice: 0.7616, decode.d1.loss_cls: 0.2632, decode.d1.loss_mask: 0.4913, decode.d1.loss_dice: 0.7353, decode.d2.loss_cls: 0.2318, decode.d2.loss_mask: 0.4815, decode.d2.loss_dice: 0.7156, decode.d3.loss_cls: 0.2148, decode.d3.loss_mask: 0.4792, decode.d3.loss_dice: 0.7048, decode.d4.loss_cls: 0.2101, decode.d4.loss_mask: 0.4772, decode.d4.loss_dice: 0.7041, decode.d5.loss_cls: 0.2060, decode.d5.loss_mask: 0.4785, decode.d5.loss_dice: 0.7040, decode.d6.loss_cls: 0.2035, decode.d6.loss_mask: 0.4794, decode.d6.loss_dice: 0.6985, decode.d7.loss_cls: 0.1989, decode.d7.loss_mask: 0.4791, decode.d7.loss_dice: 0.7030, decode.d8.loss_cls: 0.1963, decode.d8.loss_mask: 0.4781, decode.d8.loss_dice: 0.7015, loss: 15.0482, grad_norm: 45.8295 2023-11-12 10:45:52,460 - mmseg - INFO - Iter [85900/160000] lr: 4.631e-05, eta: 10:21:34, time: 0.526, data_time: 0.059, memory: 41146, decode.loss_cls: 0.2218, decode.loss_mask: 0.4578, decode.loss_dice: 0.7068, decode.d0.loss_cls: 1.1910, decode.d0.loss_mask: 0.4857, decode.d0.loss_dice: 0.7730, decode.d1.loss_cls: 0.2988, decode.d1.loss_mask: 0.4670, decode.d1.loss_dice: 0.7364, decode.d2.loss_cls: 0.2614, decode.d2.loss_mask: 0.4618, decode.d2.loss_dice: 0.7205, decode.d3.loss_cls: 0.2440, decode.d3.loss_mask: 0.4595, decode.d3.loss_dice: 0.7073, decode.d4.loss_cls: 0.2345, decode.d4.loss_mask: 0.4587, decode.d4.loss_dice: 0.7085, decode.d5.loss_cls: 0.2326, decode.d5.loss_mask: 0.4594, decode.d5.loss_dice: 0.7049, decode.d6.loss_cls: 0.2336, decode.d6.loss_mask: 0.4570, decode.d6.loss_dice: 0.7003, decode.d7.loss_cls: 0.2272, decode.d7.loss_mask: 0.4561, decode.d7.loss_dice: 0.7006, decode.d8.loss_cls: 0.2241, decode.d8.loss_mask: 0.4571, decode.d8.loss_dice: 0.7056, loss: 15.1531, grad_norm: 45.0960 2023-11-12 10:46:16,250 - mmseg - INFO - Iter [85950/160000] lr: 4.628e-05, eta: 10:21:07, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2308, decode.loss_mask: 0.4800, decode.loss_dice: 0.7023, decode.d0.loss_cls: 1.2267, decode.d0.loss_mask: 0.5109, decode.d0.loss_dice: 0.7624, decode.d1.loss_cls: 0.3040, decode.d1.loss_mask: 0.4952, decode.d1.loss_dice: 0.7359, decode.d2.loss_cls: 0.2650, decode.d2.loss_mask: 0.4884, decode.d2.loss_dice: 0.7257, decode.d3.loss_cls: 0.2518, decode.d3.loss_mask: 0.4843, decode.d3.loss_dice: 0.7100, decode.d4.loss_cls: 0.2441, decode.d4.loss_mask: 0.4832, decode.d4.loss_dice: 0.7047, decode.d5.loss_cls: 0.2354, decode.d5.loss_mask: 0.4813, decode.d5.loss_dice: 0.7077, decode.d6.loss_cls: 0.2338, decode.d6.loss_mask: 0.4809, decode.d6.loss_dice: 0.6999, decode.d7.loss_cls: 0.2264, decode.d7.loss_mask: 0.4821, decode.d7.loss_dice: 0.7034, decode.d8.loss_cls: 0.2250, decode.d8.loss_mask: 0.4815, decode.d8.loss_dice: 0.7041, loss: 15.4670, grad_norm: 44.5007 2023-11-12 10:46:40,148 - mmseg - INFO - Saving checkpoint at 86000 iterations 2023-11-12 10:46:44,010 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 10:46:44,010 - mmseg - INFO - Iter [86000/160000] lr: 4.625e-05, eta: 10:20:44, time: 0.555, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2231, decode.loss_mask: 0.4712, decode.loss_dice: 0.6967, decode.d0.loss_cls: 1.2147, decode.d0.loss_mask: 0.5055, decode.d0.loss_dice: 0.7655, decode.d1.loss_cls: 0.2962, decode.d1.loss_mask: 0.4913, decode.d1.loss_dice: 0.7350, decode.d2.loss_cls: 0.2569, decode.d2.loss_mask: 0.4778, decode.d2.loss_dice: 0.7142, decode.d3.loss_cls: 0.2366, decode.d3.loss_mask: 0.4741, decode.d3.loss_dice: 0.6955, decode.d4.loss_cls: 0.2293, decode.d4.loss_mask: 0.4755, decode.d4.loss_dice: 0.6997, decode.d5.loss_cls: 0.2274, decode.d5.loss_mask: 0.4717, decode.d5.loss_dice: 0.7002, decode.d6.loss_cls: 0.2253, decode.d6.loss_mask: 0.4712, decode.d6.loss_dice: 0.6945, decode.d7.loss_cls: 0.2233, decode.d7.loss_mask: 0.4715, decode.d7.loss_dice: 0.7008, decode.d8.loss_cls: 0.2204, decode.d8.loss_mask: 0.4711, decode.d8.loss_dice: 0.7005, loss: 15.2367, grad_norm: 51.1891 2023-11-12 10:47:03,072 - mmseg - INFO - per class results: 2023-11-12 10:47:03,077 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.42 | 87.77 | | building | 82.04 | 91.15 | | sky | 94.9 | 97.6 | | floor | 83.06 | 91.95 | | tree | 74.95 | 86.14 | | ceiling | 84.67 | 90.59 | | road | 85.29 | 89.71 | | bed | 90.7 | 95.18 | | windowpane | 63.0 | 77.05 | | grass | 69.03 | 86.4 | | cabinet | 64.52 | 76.8 | | sidewalk | 70.86 | 82.08 | | person | 84.51 | 92.34 | | earth | 36.23 | 54.61 | | door | 50.03 | 70.15 | | table | 66.39 | 80.62 | | mountain | 66.21 | 81.21 | | plant | 53.65 | 65.99 | | curtain | 78.66 | 88.75 | | chair | 63.29 | 75.8 | | car | 85.64 | 90.85 | | water | 56.66 | 73.63 | | painting | 76.32 | 88.66 | | sofa | 71.39 | 83.55 | | shelf | 46.27 | 65.04 | | house | 38.73 | 73.16 | | sea | 70.95 | 90.37 | | mirror | 70.85 | 79.9 | | rug | 63.73 | 73.43 | | field | 31.95 | 38.57 | | armchair | 51.07 | 70.62 | | seat | 59.86 | 78.62 | | fence | 47.14 | 69.82 | | desk | 51.16 | 74.68 | | rock | 52.01 | 79.72 | | wardrobe | 44.41 | 66.54 | | lamp | 69.39 | 80.5 | | bathtub | 79.47 | 85.9 | | railing | 40.47 | 55.86 | | cushion | 61.89 | 77.65 | | base | 30.89 | 49.72 | | box | 27.97 | 39.16 | | column | 39.83 | 51.25 | | signboard | 36.99 | 56.63 | | chest of drawers | 48.42 | 72.82 | | counter | 30.92 | 36.81 | | sand | 32.15 | 45.18 | | sink | 79.72 | 84.24 | | skyscraper | 34.57 | 43.66 | | fireplace | 77.83 | 91.03 | | refrigerator | 82.73 | 92.17 | | grandstand | 39.11 | 68.48 | | path | 26.77 | 47.21 | | stairs | 33.04 | 49.51 | | runway | 75.8 | 85.04 | | case | 65.04 | 80.32 | | pool table | 94.62 | 96.8 | | pillow | 62.65 | 78.44 | | screen door | 68.78 | 79.49 | | stairway | 34.02 | 36.32 | | river | 18.14 | 33.01 | | bridge | 66.96 | 78.51 | | bookcase | 39.47 | 61.93 | | blind | 45.63 | 54.0 | | coffee table | 70.27 | 83.12 | | toilet | 88.25 | 91.17 | | flower | 39.17 | 56.95 | | book | 50.43 | 75.77 | | hill | 6.11 | 14.3 | | bench | 60.73 | 73.27 | | countertop | 56.56 | 76.09 | | stove | 80.71 | 86.24 | | palm | 56.66 | 70.35 | | kitchen island | 52.73 | 65.8 | | computer | 72.83 | 79.17 | | swivel chair | 37.22 | 49.84 | | boat | 49.03 | 54.88 | | bar | 40.64 | 51.68 | | arcade machine | 87.96 | 94.38 | | hovel | 5.43 | 8.39 | | bus | 94.2 | 96.31 | | towel | 65.16 | 80.22 | | light | 61.1 | 74.03 | | truck | 36.07 | 62.9 | | tower | 20.99 | 35.2 | | chandelier | 70.92 | 84.5 | | awning | 35.96 | 44.17 | | streetlight | 40.07 | 55.54 | | booth | 36.15 | 43.88 | | television receiver | 71.61 | 79.62 | | airplane | 65.55 | 72.2 | | dirt track | 10.41 | 19.73 | | apparel | 27.49 | 47.68 | | pole | 32.54 | 55.95 | | land | 2.52 | 6.17 | | bannister | 19.45 | 28.42 | | escalator | 25.59 | 34.23 | | ottoman | 51.27 | 61.41 | | bottle | 27.19 | 34.32 | | buffet | 50.02 | 53.83 | | poster | 23.53 | 29.91 | | stage | 17.02 | 34.28 | | van | 46.15 | 62.73 | | ship | 7.24 | 10.71 | | fountain | 18.93 | 21.87 | | conveyer belt | 44.22 | 67.75 | | canopy | 24.74 | 40.51 | | washer | 71.72 | 73.87 | | plaything | 46.9 | 63.9 | | swimming pool | 60.38 | 63.03 | | stool | 37.34 | 75.71 | | barrel | 68.88 | 74.22 | | basket | 37.3 | 44.85 | | waterfall | 44.5 | 61.75 | | tent | 95.21 | 97.85 | | bag | 20.7 | 27.82 | | minibike | 73.99 | 90.25 | | cradle | 86.07 | 96.93 | | oven | 28.79 | 79.44 | | ball | 35.57 | 41.8 | | food | 62.97 | 84.95 | | step | 17.93 | 27.49 | | tank | 55.24 | 65.27 | | trade name | 23.52 | 32.54 | | microwave | 42.21 | 45.64 | | pot | 49.48 | 56.71 | | animal | 59.39 | 60.93 | | bicycle | 59.9 | 77.8 | | lake | 0.0 | 0.0 | | dishwasher | 79.78 | 85.35 | | screen | 62.12 | 88.76 | | blanket | 23.72 | 32.78 | | sculpture | 67.37 | 83.79 | | hood | 69.23 | 82.63 | | sconce | 54.17 | 64.27 | | vase | 51.97 | 67.48 | | traffic light | 42.67 | 58.61 | | tray | 18.89 | 28.85 | | ashcan | 50.59 | 66.19 | | fan | 71.74 | 85.22 | | pier | 36.82 | 43.79 | | crt screen | 5.29 | 15.12 | | plate | 58.31 | 74.36 | | monitor | 8.91 | 12.04 | | bulletin board | 52.44 | 69.28 | | shower | 20.97 | 60.56 | | radiator | 66.87 | 86.7 | | glass | 21.37 | 23.47 | | clock | 42.07 | 49.98 | | flag | 46.04 | 52.6 | +---------------------+-------+-------+ 2023-11-12 10:47:03,077 - mmseg - INFO - Summary: 2023-11-12 10:47:03,077 - mmseg - INFO - +------+-------+------+ | aAcc | mIoU | mAcc | +------+-------+------+ | 83.9 | 51.42 | 64.1 | +------+-------+------+ 2023-11-12 10:47:03,078 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 10:47:03,078 - mmseg - INFO - Iter(val) [250] aAcc: 0.8390, mIoU: 0.5142, mAcc: 0.6410, IoU.wall: 0.7942, IoU.building: 0.8204, IoU.sky: 0.9490, IoU.floor: 0.8306, IoU.tree: 0.7495, IoU.ceiling: 0.8467, IoU.road: 0.8529, IoU.bed : 0.9070, IoU.windowpane: 0.6300, IoU.grass: 0.6903, IoU.cabinet: 0.6452, IoU.sidewalk: 0.7086, IoU.person: 0.8451, IoU.earth: 0.3623, IoU.door: 0.5003, IoU.table: 0.6639, IoU.mountain: 0.6621, IoU.plant: 0.5365, IoU.curtain: 0.7866, IoU.chair: 0.6329, IoU.car: 0.8564, IoU.water: 0.5666, IoU.painting: 0.7632, IoU.sofa: 0.7139, IoU.shelf: 0.4627, IoU.house: 0.3873, IoU.sea: 0.7095, IoU.mirror: 0.7085, IoU.rug: 0.6373, IoU.field: 0.3195, IoU.armchair: 0.5107, IoU.seat: 0.5986, IoU.fence: 0.4714, IoU.desk: 0.5116, IoU.rock: 0.5201, IoU.wardrobe: 0.4441, IoU.lamp: 0.6939, IoU.bathtub: 0.7947, IoU.railing: 0.4047, IoU.cushion: 0.6189, IoU.base: 0.3089, IoU.box: 0.2797, IoU.column: 0.3983, IoU.signboard: 0.3699, IoU.chest of drawers: 0.4842, IoU.counter: 0.3092, IoU.sand: 0.3215, IoU.sink: 0.7972, IoU.skyscraper: 0.3457, IoU.fireplace: 0.7783, IoU.refrigerator: 0.8273, IoU.grandstand: 0.3911, IoU.path: 0.2677, IoU.stairs: 0.3304, IoU.runway: 0.7580, IoU.case: 0.6504, IoU.pool table: 0.9462, IoU.pillow: 0.6265, IoU.screen door: 0.6878, IoU.stairway: 0.3402, IoU.river: 0.1814, IoU.bridge: 0.6696, IoU.bookcase: 0.3947, IoU.blind: 0.4563, IoU.coffee table: 0.7027, IoU.toilet: 0.8825, IoU.flower: 0.3917, IoU.book: 0.5043, IoU.hill: 0.0611, IoU.bench: 0.6073, IoU.countertop: 0.5656, IoU.stove: 0.8071, IoU.palm: 0.5666, IoU.kitchen island: 0.5273, IoU.computer: 0.7283, IoU.swivel chair: 0.3722, IoU.boat: 0.4903, IoU.bar: 0.4064, IoU.arcade machine: 0.8796, IoU.hovel: 0.0543, IoU.bus: 0.9420, IoU.towel: 0.6516, IoU.light: 0.6110, IoU.truck: 0.3607, IoU.tower: 0.2099, IoU.chandelier: 0.7092, IoU.awning: 0.3596, IoU.streetlight: 0.4007, IoU.booth: 0.3615, IoU.television receiver: 0.7161, IoU.airplane: 0.6555, IoU.dirt track: 0.1041, IoU.apparel: 0.2749, IoU.pole: 0.3254, IoU.land: 0.0252, IoU.bannister: 0.1945, IoU.escalator: 0.2559, IoU.ottoman: 0.5127, IoU.bottle: 0.2719, IoU.buffet: 0.5002, IoU.poster: 0.2353, IoU.stage: 0.1702, IoU.van: 0.4615, IoU.ship: 0.0724, IoU.fountain: 0.1893, IoU.conveyer belt: 0.4422, IoU.canopy: 0.2474, IoU.washer: 0.7172, IoU.plaything: 0.4690, IoU.swimming pool: 0.6038, IoU.stool: 0.3734, IoU.barrel: 0.6888, IoU.basket: 0.3730, IoU.waterfall: 0.4450, IoU.tent: 0.9521, IoU.bag: 0.2070, IoU.minibike: 0.7399, IoU.cradle: 0.8607, IoU.oven: 0.2879, IoU.ball: 0.3557, IoU.food: 0.6297, IoU.step: 0.1793, IoU.tank: 0.5524, IoU.trade name: 0.2352, IoU.microwave: 0.4221, IoU.pot: 0.4948, IoU.animal: 0.5939, IoU.bicycle: 0.5990, IoU.lake: 0.0000, IoU.dishwasher: 0.7978, IoU.screen: 0.6212, IoU.blanket: 0.2372, IoU.sculpture: 0.6737, IoU.hood: 0.6923, IoU.sconce: 0.5417, IoU.vase: 0.5197, IoU.traffic light: 0.4267, IoU.tray: 0.1889, IoU.ashcan: 0.5059, IoU.fan: 0.7174, IoU.pier: 0.3682, IoU.crt screen: 0.0529, IoU.plate: 0.5831, IoU.monitor: 0.0891, IoU.bulletin board: 0.5244, IoU.shower: 0.2097, IoU.radiator: 0.6687, IoU.glass: 0.2137, IoU.clock: 0.4207, IoU.flag: 0.4604, Acc.wall: 0.8777, Acc.building: 0.9115, Acc.sky: 0.9760, Acc.floor: 0.9195, Acc.tree: 0.8614, Acc.ceiling: 0.9059, Acc.road: 0.8971, Acc.bed : 0.9518, Acc.windowpane: 0.7705, Acc.grass: 0.8640, Acc.cabinet: 0.7680, Acc.sidewalk: 0.8208, Acc.person: 0.9234, Acc.earth: 0.5461, Acc.door: 0.7015, Acc.table: 0.8062, Acc.mountain: 0.8121, Acc.plant: 0.6599, Acc.curtain: 0.8875, Acc.chair: 0.7580, Acc.car: 0.9085, Acc.water: 0.7363, Acc.painting: 0.8866, Acc.sofa: 0.8355, Acc.shelf: 0.6504, Acc.house: 0.7316, Acc.sea: 0.9037, Acc.mirror: 0.7990, Acc.rug: 0.7343, Acc.field: 0.3857, Acc.armchair: 0.7062, Acc.seat: 0.7862, Acc.fence: 0.6982, Acc.desk: 0.7468, Acc.rock: 0.7972, Acc.wardrobe: 0.6654, Acc.lamp: 0.8050, Acc.bathtub: 0.8590, Acc.railing: 0.5586, Acc.cushion: 0.7765, Acc.base: 0.4972, Acc.box: 0.3916, Acc.column: 0.5125, Acc.signboard: 0.5663, Acc.chest of drawers: 0.7282, Acc.counter: 0.3681, Acc.sand: 0.4518, Acc.sink: 0.8424, Acc.skyscraper: 0.4366, Acc.fireplace: 0.9103, Acc.refrigerator: 0.9217, Acc.grandstand: 0.6848, Acc.path: 0.4721, Acc.stairs: 0.4951, Acc.runway: 0.8504, Acc.case: 0.8032, Acc.pool table: 0.9680, Acc.pillow: 0.7844, Acc.screen door: 0.7949, Acc.stairway: 0.3632, Acc.river: 0.3301, Acc.bridge: 0.7851, Acc.bookcase: 0.6193, Acc.blind: 0.5400, Acc.coffee table: 0.8312, Acc.toilet: 0.9117, Acc.flower: 0.5695, Acc.book: 0.7577, Acc.hill: 0.1430, Acc.bench: 0.7327, Acc.countertop: 0.7609, Acc.stove: 0.8624, Acc.palm: 0.7035, Acc.kitchen island: 0.6580, Acc.computer: 0.7917, Acc.swivel chair: 0.4984, Acc.boat: 0.5488, Acc.bar: 0.5168, Acc.arcade machine: 0.9438, Acc.hovel: 0.0839, Acc.bus: 0.9631, Acc.towel: 0.8022, Acc.light: 0.7403, Acc.truck: 0.6290, Acc.tower: 0.3520, Acc.chandelier: 0.8450, Acc.awning: 0.4417, Acc.streetlight: 0.5554, Acc.booth: 0.4388, Acc.television receiver: 0.7962, Acc.airplane: 0.7220, Acc.dirt track: 0.1973, Acc.apparel: 0.4768, Acc.pole: 0.5595, Acc.land: 0.0617, Acc.bannister: 0.2842, Acc.escalator: 0.3423, Acc.ottoman: 0.6141, Acc.bottle: 0.3432, Acc.buffet: 0.5383, Acc.poster: 0.2991, Acc.stage: 0.3428, Acc.van: 0.6273, Acc.ship: 0.1071, Acc.fountain: 0.2187, Acc.conveyer belt: 0.6775, Acc.canopy: 0.4051, Acc.washer: 0.7387, Acc.plaything: 0.6390, Acc.swimming pool: 0.6303, Acc.stool: 0.7571, Acc.barrel: 0.7422, Acc.basket: 0.4485, Acc.waterfall: 0.6175, Acc.tent: 0.9785, Acc.bag: 0.2782, Acc.minibike: 0.9025, Acc.cradle: 0.9693, Acc.oven: 0.7944, Acc.ball: 0.4180, Acc.food: 0.8495, Acc.step: 0.2749, Acc.tank: 0.6527, Acc.trade name: 0.3254, Acc.microwave: 0.4564, Acc.pot: 0.5671, Acc.animal: 0.6093, Acc.bicycle: 0.7780, Acc.lake: 0.0000, Acc.dishwasher: 0.8535, Acc.screen: 0.8876, Acc.blanket: 0.3278, Acc.sculpture: 0.8379, Acc.hood: 0.8263, Acc.sconce: 0.6427, Acc.vase: 0.6748, Acc.traffic light: 0.5861, Acc.tray: 0.2885, Acc.ashcan: 0.6619, Acc.fan: 0.8522, Acc.pier: 0.4379, Acc.crt screen: 0.1512, Acc.plate: 0.7436, Acc.monitor: 0.1204, Acc.bulletin board: 0.6928, Acc.shower: 0.6056, Acc.radiator: 0.8670, Acc.glass: 0.2347, Acc.clock: 0.4998, Acc.flag: 0.5260 2023-11-12 10:47:26,915 - mmseg - INFO - Iter [86050/160000] lr: 4.622e-05, eta: 10:20:35, time: 0.858, data_time: 0.392, memory: 41146, decode.loss_cls: 0.2071, decode.loss_mask: 0.4721, decode.loss_dice: 0.6858, decode.d0.loss_cls: 1.1908, decode.d0.loss_mask: 0.5091, decode.d0.loss_dice: 0.7495, decode.d1.loss_cls: 0.2848, decode.d1.loss_mask: 0.4882, decode.d1.loss_dice: 0.7173, decode.d2.loss_cls: 0.2450, decode.d2.loss_mask: 0.4795, decode.d2.loss_dice: 0.6998, decode.d3.loss_cls: 0.2276, decode.d3.loss_mask: 0.4766, decode.d3.loss_dice: 0.6892, decode.d4.loss_cls: 0.2195, decode.d4.loss_mask: 0.4749, decode.d4.loss_dice: 0.6867, decode.d5.loss_cls: 0.2148, decode.d5.loss_mask: 0.4739, decode.d5.loss_dice: 0.6896, decode.d6.loss_cls: 0.2149, decode.d6.loss_mask: 0.4719, decode.d6.loss_dice: 0.6849, decode.d7.loss_cls: 0.2074, decode.d7.loss_mask: 0.4759, decode.d7.loss_dice: 0.6839, decode.d8.loss_cls: 0.2097, decode.d8.loss_mask: 0.4725, decode.d8.loss_dice: 0.6856, loss: 14.9885, grad_norm: 48.6429 2023-11-12 10:47:50,709 - mmseg - INFO - Iter [86100/160000] lr: 4.619e-05, eta: 10:20:08, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2347, decode.loss_mask: 0.4558, decode.loss_dice: 0.7222, decode.d0.loss_cls: 1.2141, decode.d0.loss_mask: 0.4936, decode.d0.loss_dice: 0.7892, decode.d1.loss_cls: 0.2966, decode.d1.loss_mask: 0.4711, decode.d1.loss_dice: 0.7605, decode.d2.loss_cls: 0.2644, decode.d2.loss_mask: 0.4656, decode.d2.loss_dice: 0.7409, decode.d3.loss_cls: 0.2535, decode.d3.loss_mask: 0.4598, decode.d3.loss_dice: 0.7262, decode.d4.loss_cls: 0.2402, decode.d4.loss_mask: 0.4592, decode.d4.loss_dice: 0.7263, decode.d5.loss_cls: 0.2399, decode.d5.loss_mask: 0.4566, decode.d5.loss_dice: 0.7206, decode.d6.loss_cls: 0.2381, decode.d6.loss_mask: 0.4581, decode.d6.loss_dice: 0.7146, decode.d7.loss_cls: 0.2326, decode.d7.loss_mask: 0.4583, decode.d7.loss_dice: 0.7196, decode.d8.loss_cls: 0.2336, decode.d8.loss_mask: 0.4571, decode.d8.loss_dice: 0.7179, loss: 15.4204, grad_norm: 49.9063 2023-11-12 10:48:14,582 - mmseg - INFO - Iter [86150/160000] lr: 4.616e-05, eta: 10:19:42, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2104, decode.loss_mask: 0.4651, decode.loss_dice: 0.6931, decode.d0.loss_cls: 1.1868, decode.d0.loss_mask: 0.4926, decode.d0.loss_dice: 0.7538, decode.d1.loss_cls: 0.2886, decode.d1.loss_mask: 0.4809, decode.d1.loss_dice: 0.7316, decode.d2.loss_cls: 0.2461, decode.d2.loss_mask: 0.4715, decode.d2.loss_dice: 0.7122, decode.d3.loss_cls: 0.2329, decode.d3.loss_mask: 0.4682, decode.d3.loss_dice: 0.7001, decode.d4.loss_cls: 0.2208, decode.d4.loss_mask: 0.4683, decode.d4.loss_dice: 0.7038, decode.d5.loss_cls: 0.2185, decode.d5.loss_mask: 0.4647, decode.d5.loss_dice: 0.6970, decode.d6.loss_cls: 0.2128, decode.d6.loss_mask: 0.4649, decode.d6.loss_dice: 0.6990, decode.d7.loss_cls: 0.2087, decode.d7.loss_mask: 0.4657, decode.d7.loss_dice: 0.6993, decode.d8.loss_cls: 0.2078, decode.d8.loss_mask: 0.4665, decode.d8.loss_dice: 0.6946, loss: 15.0263, grad_norm: 47.3563 2023-11-12 10:48:38,548 - mmseg - INFO - Iter [86200/160000] lr: 4.613e-05, eta: 10:19:16, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2294, decode.loss_mask: 0.4873, decode.loss_dice: 0.7304, decode.d0.loss_cls: 1.2163, decode.d0.loss_mask: 0.5200, decode.d0.loss_dice: 0.7982, decode.d1.loss_cls: 0.3000, decode.d1.loss_mask: 0.5012, decode.d1.loss_dice: 0.7650, decode.d2.loss_cls: 0.2625, decode.d2.loss_mask: 0.4929, decode.d2.loss_dice: 0.7476, decode.d3.loss_cls: 0.2528, decode.d3.loss_mask: 0.4886, decode.d3.loss_dice: 0.7333, decode.d4.loss_cls: 0.2399, decode.d4.loss_mask: 0.4875, decode.d4.loss_dice: 0.7337, decode.d5.loss_cls: 0.2357, decode.d5.loss_mask: 0.4871, decode.d5.loss_dice: 0.7362, decode.d6.loss_cls: 0.2377, decode.d6.loss_mask: 0.4851, decode.d6.loss_dice: 0.7299, decode.d7.loss_cls: 0.2341, decode.d7.loss_mask: 0.4861, decode.d7.loss_dice: 0.7296, decode.d8.loss_cls: 0.2284, decode.d8.loss_mask: 0.4868, decode.d8.loss_dice: 0.7292, loss: 15.7926, grad_norm: 53.6613 2023-11-12 10:49:02,469 - mmseg - INFO - Iter [86250/160000] lr: 4.609e-05, eta: 10:18:49, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2127, decode.loss_mask: 0.4854, decode.loss_dice: 0.7127, decode.d0.loss_cls: 1.2039, decode.d0.loss_mask: 0.5259, decode.d0.loss_dice: 0.7793, decode.d1.loss_cls: 0.2846, decode.d1.loss_mask: 0.5020, decode.d1.loss_dice: 0.7526, decode.d2.loss_cls: 0.2427, decode.d2.loss_mask: 0.4946, decode.d2.loss_dice: 0.7270, decode.d3.loss_cls: 0.2285, decode.d3.loss_mask: 0.4903, decode.d3.loss_dice: 0.7141, decode.d4.loss_cls: 0.2192, decode.d4.loss_mask: 0.4894, decode.d4.loss_dice: 0.7132, decode.d5.loss_cls: 0.2176, decode.d5.loss_mask: 0.4888, decode.d5.loss_dice: 0.7166, decode.d6.loss_cls: 0.2158, decode.d6.loss_mask: 0.4876, decode.d6.loss_dice: 0.7124, decode.d7.loss_cls: 0.2108, decode.d7.loss_mask: 0.4879, decode.d7.loss_dice: 0.7153, decode.d8.loss_cls: 0.2105, decode.d8.loss_mask: 0.4874, decode.d8.loss_dice: 0.7135, loss: 15.4422, grad_norm: 47.7379 2023-11-12 10:49:26,416 - mmseg - INFO - Iter [86300/160000] lr: 4.606e-05, eta: 10:18:23, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2248, decode.loss_mask: 0.4754, decode.loss_dice: 0.6969, decode.d0.loss_cls: 1.1952, decode.d0.loss_mask: 0.5104, decode.d0.loss_dice: 0.7623, decode.d1.loss_cls: 0.2870, decode.d1.loss_mask: 0.4871, decode.d1.loss_dice: 0.7314, decode.d2.loss_cls: 0.2531, decode.d2.loss_mask: 0.4802, decode.d2.loss_dice: 0.7131, decode.d3.loss_cls: 0.2438, decode.d3.loss_mask: 0.4760, decode.d3.loss_dice: 0.7005, decode.d4.loss_cls: 0.2279, decode.d4.loss_mask: 0.4755, decode.d4.loss_dice: 0.7017, decode.d5.loss_cls: 0.2259, decode.d5.loss_mask: 0.4754, decode.d5.loss_dice: 0.6999, decode.d6.loss_cls: 0.2286, decode.d6.loss_mask: 0.4746, decode.d6.loss_dice: 0.6959, decode.d7.loss_cls: 0.2237, decode.d7.loss_mask: 0.4757, decode.d7.loss_dice: 0.6975, decode.d8.loss_cls: 0.2288, decode.d8.loss_mask: 0.4753, decode.d8.loss_dice: 0.6954, loss: 15.2390, grad_norm: 45.3717 2023-11-12 10:49:50,365 - mmseg - INFO - Iter [86350/160000] lr: 4.603e-05, eta: 10:17:57, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2045, decode.loss_mask: 0.4755, decode.loss_dice: 0.7016, decode.d0.loss_cls: 1.1905, decode.d0.loss_mask: 0.5101, decode.d0.loss_dice: 0.7477, decode.d1.loss_cls: 0.2700, decode.d1.loss_mask: 0.4943, decode.d1.loss_dice: 0.7298, decode.d2.loss_cls: 0.2413, decode.d2.loss_mask: 0.4814, decode.d2.loss_dice: 0.7116, decode.d3.loss_cls: 0.2248, decode.d3.loss_mask: 0.4771, decode.d3.loss_dice: 0.7056, decode.d4.loss_cls: 0.2175, decode.d4.loss_mask: 0.4758, decode.d4.loss_dice: 0.7062, decode.d5.loss_cls: 0.2134, decode.d5.loss_mask: 0.4772, decode.d5.loss_dice: 0.7071, decode.d6.loss_cls: 0.2125, decode.d6.loss_mask: 0.4782, decode.d6.loss_dice: 0.6991, decode.d7.loss_cls: 0.2078, decode.d7.loss_mask: 0.4766, decode.d7.loss_dice: 0.6985, decode.d8.loss_cls: 0.2094, decode.d8.loss_mask: 0.4760, decode.d8.loss_dice: 0.6999, loss: 15.1206, grad_norm: 45.0878 2023-11-12 10:50:14,270 - mmseg - INFO - Iter [86400/160000] lr: 4.600e-05, eta: 10:17:31, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2316, decode.loss_mask: 0.4797, decode.loss_dice: 0.7147, decode.d0.loss_cls: 1.2116, decode.d0.loss_mask: 0.5089, decode.d0.loss_dice: 0.7830, decode.d1.loss_cls: 0.3046, decode.d1.loss_mask: 0.4904, decode.d1.loss_dice: 0.7523, decode.d2.loss_cls: 0.2713, decode.d2.loss_mask: 0.4813, decode.d2.loss_dice: 0.7323, decode.d3.loss_cls: 0.2579, decode.d3.loss_mask: 0.4781, decode.d3.loss_dice: 0.7226, decode.d4.loss_cls: 0.2471, decode.d4.loss_mask: 0.4786, decode.d4.loss_dice: 0.7191, decode.d5.loss_cls: 0.2375, decode.d5.loss_mask: 0.4793, decode.d5.loss_dice: 0.7223, decode.d6.loss_cls: 0.2381, decode.d6.loss_mask: 0.4777, decode.d6.loss_dice: 0.7174, decode.d7.loss_cls: 0.2360, decode.d7.loss_mask: 0.4757, decode.d7.loss_dice: 0.7180, decode.d8.loss_cls: 0.2318, decode.d8.loss_mask: 0.4765, decode.d8.loss_dice: 0.7164, loss: 15.5917, grad_norm: 46.9096 2023-11-12 10:50:38,109 - mmseg - INFO - Iter [86450/160000] lr: 4.597e-05, eta: 10:17:04, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2246, decode.loss_mask: 0.4778, decode.loss_dice: 0.7402, decode.d0.loss_cls: 1.2133, decode.d0.loss_mask: 0.5131, decode.d0.loss_dice: 0.8002, decode.d1.loss_cls: 0.2949, decode.d1.loss_mask: 0.4936, decode.d1.loss_dice: 0.7750, decode.d2.loss_cls: 0.2544, decode.d2.loss_mask: 0.4880, decode.d2.loss_dice: 0.7608, decode.d3.loss_cls: 0.2407, decode.d3.loss_mask: 0.4828, decode.d3.loss_dice: 0.7397, decode.d4.loss_cls: 0.2282, decode.d4.loss_mask: 0.4804, decode.d4.loss_dice: 0.7474, decode.d5.loss_cls: 0.2228, decode.d5.loss_mask: 0.4787, decode.d5.loss_dice: 0.7420, decode.d6.loss_cls: 0.2239, decode.d6.loss_mask: 0.4782, decode.d6.loss_dice: 0.7405, decode.d7.loss_cls: 0.2227, decode.d7.loss_mask: 0.4780, decode.d7.loss_dice: 0.7425, decode.d8.loss_cls: 0.2187, decode.d8.loss_mask: 0.4770, decode.d8.loss_dice: 0.7453, loss: 15.7254, grad_norm: 46.9128 2023-11-12 10:51:01,871 - mmseg - INFO - Iter [86500/160000] lr: 4.594e-05, eta: 10:16:38, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2368, decode.loss_mask: 0.4705, decode.loss_dice: 0.7180, decode.d0.loss_cls: 1.2156, decode.d0.loss_mask: 0.5010, decode.d0.loss_dice: 0.7850, decode.d1.loss_cls: 0.3106, decode.d1.loss_mask: 0.4816, decode.d1.loss_dice: 0.7580, decode.d2.loss_cls: 0.2715, decode.d2.loss_mask: 0.4753, decode.d2.loss_dice: 0.7376, decode.d3.loss_cls: 0.2573, decode.d3.loss_mask: 0.4739, decode.d3.loss_dice: 0.7202, decode.d4.loss_cls: 0.2467, decode.d4.loss_mask: 0.4724, decode.d4.loss_dice: 0.7258, decode.d5.loss_cls: 0.2397, decode.d5.loss_mask: 0.4720, decode.d5.loss_dice: 0.7213, decode.d6.loss_cls: 0.2391, decode.d6.loss_mask: 0.4704, decode.d6.loss_dice: 0.7167, decode.d7.loss_cls: 0.2319, decode.d7.loss_mask: 0.4700, decode.d7.loss_dice: 0.7186, decode.d8.loss_cls: 0.2376, decode.d8.loss_mask: 0.4698, decode.d8.loss_dice: 0.7189, loss: 15.5637, grad_norm: 48.2269 2023-11-12 10:51:25,762 - mmseg - INFO - Iter [86550/160000] lr: 4.591e-05, eta: 10:16:12, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2184, decode.loss_mask: 0.4565, decode.loss_dice: 0.6969, decode.d0.loss_cls: 1.2247, decode.d0.loss_mask: 0.4886, decode.d0.loss_dice: 0.7554, decode.d1.loss_cls: 0.2957, decode.d1.loss_mask: 0.4721, decode.d1.loss_dice: 0.7407, decode.d2.loss_cls: 0.2543, decode.d2.loss_mask: 0.4620, decode.d2.loss_dice: 0.7188, decode.d3.loss_cls: 0.2410, decode.d3.loss_mask: 0.4592, decode.d3.loss_dice: 0.7037, decode.d4.loss_cls: 0.2308, decode.d4.loss_mask: 0.4559, decode.d4.loss_dice: 0.7031, decode.d5.loss_cls: 0.2260, decode.d5.loss_mask: 0.4559, decode.d5.loss_dice: 0.7052, decode.d6.loss_cls: 0.2267, decode.d6.loss_mask: 0.4564, decode.d6.loss_dice: 0.7007, decode.d7.loss_cls: 0.2205, decode.d7.loss_mask: 0.4545, decode.d7.loss_dice: 0.7003, decode.d8.loss_cls: 0.2170, decode.d8.loss_mask: 0.4555, decode.d8.loss_dice: 0.6984, loss: 15.0951, grad_norm: 52.7283 2023-11-12 10:51:49,812 - mmseg - INFO - Iter [86600/160000] lr: 4.588e-05, eta: 10:15:46, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2155, decode.loss_mask: 0.4530, decode.loss_dice: 0.7116, decode.d0.loss_cls: 1.2236, decode.d0.loss_mask: 0.4870, decode.d0.loss_dice: 0.7773, decode.d1.loss_cls: 0.2980, decode.d1.loss_mask: 0.4685, decode.d1.loss_dice: 0.7448, decode.d2.loss_cls: 0.2553, decode.d2.loss_mask: 0.4605, decode.d2.loss_dice: 0.7297, decode.d3.loss_cls: 0.2275, decode.d3.loss_mask: 0.4563, decode.d3.loss_dice: 0.7181, decode.d4.loss_cls: 0.2207, decode.d4.loss_mask: 0.4545, decode.d4.loss_dice: 0.7151, decode.d5.loss_cls: 0.2235, decode.d5.loss_mask: 0.4541, decode.d5.loss_dice: 0.7158, decode.d6.loss_cls: 0.2199, decode.d6.loss_mask: 0.4537, decode.d6.loss_dice: 0.7126, decode.d7.loss_cls: 0.2148, decode.d7.loss_mask: 0.4541, decode.d7.loss_dice: 0.7106, decode.d8.loss_cls: 0.2143, decode.d8.loss_mask: 0.4533, decode.d8.loss_dice: 0.7141, loss: 15.1576, grad_norm: 44.7336 2023-11-12 10:52:13,817 - mmseg - INFO - Iter [86650/160000] lr: 4.584e-05, eta: 10:15:20, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2383, decode.loss_mask: 0.4815, decode.loss_dice: 0.7057, decode.d0.loss_cls: 1.2475, decode.d0.loss_mask: 0.5156, decode.d0.loss_dice: 0.7731, decode.d1.loss_cls: 0.3235, decode.d1.loss_mask: 0.4919, decode.d1.loss_dice: 0.7411, decode.d2.loss_cls: 0.2763, decode.d2.loss_mask: 0.4839, decode.d2.loss_dice: 0.7228, decode.d3.loss_cls: 0.2608, decode.d3.loss_mask: 0.4817, decode.d3.loss_dice: 0.7128, decode.d4.loss_cls: 0.2513, decode.d4.loss_mask: 0.4799, decode.d4.loss_dice: 0.7084, decode.d5.loss_cls: 0.2489, decode.d5.loss_mask: 0.4813, decode.d5.loss_dice: 0.7075, decode.d6.loss_cls: 0.2417, decode.d6.loss_mask: 0.4808, decode.d6.loss_dice: 0.7012, decode.d7.loss_cls: 0.2409, decode.d7.loss_mask: 0.4823, decode.d7.loss_dice: 0.7068, decode.d8.loss_cls: 0.2409, decode.d8.loss_mask: 0.4821, decode.d8.loss_dice: 0.7058, loss: 15.6166, grad_norm: 51.8553 2023-11-12 10:52:37,836 - mmseg - INFO - Iter [86700/160000] lr: 4.581e-05, eta: 10:14:53, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2192, decode.loss_mask: 0.4603, decode.loss_dice: 0.7016, decode.d0.loss_cls: 1.2131, decode.d0.loss_mask: 0.4961, decode.d0.loss_dice: 0.7744, decode.d1.loss_cls: 0.2935, decode.d1.loss_mask: 0.4731, decode.d1.loss_dice: 0.7437, decode.d2.loss_cls: 0.2484, decode.d2.loss_mask: 0.4686, decode.d2.loss_dice: 0.7182, decode.d3.loss_cls: 0.2348, decode.d3.loss_mask: 0.4638, decode.d3.loss_dice: 0.7061, decode.d4.loss_cls: 0.2276, decode.d4.loss_mask: 0.4617, decode.d4.loss_dice: 0.7055, decode.d5.loss_cls: 0.2260, decode.d5.loss_mask: 0.4587, decode.d5.loss_dice: 0.7051, decode.d6.loss_cls: 0.2293, decode.d6.loss_mask: 0.4582, decode.d6.loss_dice: 0.7002, decode.d7.loss_cls: 0.2235, decode.d7.loss_mask: 0.4576, decode.d7.loss_dice: 0.7033, decode.d8.loss_cls: 0.2175, decode.d8.loss_mask: 0.4596, decode.d8.loss_dice: 0.7011, loss: 15.1500, grad_norm: 49.4411 2023-11-12 10:53:01,857 - mmseg - INFO - Iter [86750/160000] lr: 4.578e-05, eta: 10:14:27, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2142, decode.loss_mask: 0.4603, decode.loss_dice: 0.7177, decode.d0.loss_cls: 1.2245, decode.d0.loss_mask: 0.4952, decode.d0.loss_dice: 0.7793, decode.d1.loss_cls: 0.2960, decode.d1.loss_mask: 0.4769, decode.d1.loss_dice: 0.7543, decode.d2.loss_cls: 0.2477, decode.d2.loss_mask: 0.4682, decode.d2.loss_dice: 0.7291, decode.d3.loss_cls: 0.2338, decode.d3.loss_mask: 0.4639, decode.d3.loss_dice: 0.7187, decode.d4.loss_cls: 0.2253, decode.d4.loss_mask: 0.4635, decode.d4.loss_dice: 0.7194, decode.d5.loss_cls: 0.2219, decode.d5.loss_mask: 0.4631, decode.d5.loss_dice: 0.7192, decode.d6.loss_cls: 0.2172, decode.d6.loss_mask: 0.4615, decode.d6.loss_dice: 0.7194, decode.d7.loss_cls: 0.2170, decode.d7.loss_mask: 0.4614, decode.d7.loss_dice: 0.7204, decode.d8.loss_cls: 0.2187, decode.d8.loss_mask: 0.4595, decode.d8.loss_dice: 0.7152, loss: 15.2824, grad_norm: 46.9572 2023-11-12 10:53:25,702 - mmseg - INFO - Iter [86800/160000] lr: 4.575e-05, eta: 10:14:01, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2256, decode.loss_mask: 0.4607, decode.loss_dice: 0.6960, decode.d0.loss_cls: 1.2189, decode.d0.loss_mask: 0.4913, decode.d0.loss_dice: 0.7575, decode.d1.loss_cls: 0.2915, decode.d1.loss_mask: 0.4740, decode.d1.loss_dice: 0.7383, decode.d2.loss_cls: 0.2616, decode.d2.loss_mask: 0.4696, decode.d2.loss_dice: 0.7192, decode.d3.loss_cls: 0.2522, decode.d3.loss_mask: 0.4618, decode.d3.loss_dice: 0.6996, decode.d4.loss_cls: 0.2390, decode.d4.loss_mask: 0.4609, decode.d4.loss_dice: 0.7037, decode.d5.loss_cls: 0.2295, decode.d5.loss_mask: 0.4599, decode.d5.loss_dice: 0.6982, decode.d6.loss_cls: 0.2319, decode.d6.loss_mask: 0.4597, decode.d6.loss_dice: 0.6912, decode.d7.loss_cls: 0.2271, decode.d7.loss_mask: 0.4584, decode.d7.loss_dice: 0.6944, decode.d8.loss_cls: 0.2303, decode.d8.loss_mask: 0.4612, decode.d8.loss_dice: 0.6945, loss: 15.1577, grad_norm: 47.6671 2023-11-12 10:53:49,443 - mmseg - INFO - Iter [86850/160000] lr: 4.572e-05, eta: 10:13:35, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2164, decode.loss_mask: 0.4631, decode.loss_dice: 0.7211, decode.d0.loss_cls: 1.1990, decode.d0.loss_mask: 0.4980, decode.d0.loss_dice: 0.7831, decode.d1.loss_cls: 0.2854, decode.d1.loss_mask: 0.4806, decode.d1.loss_dice: 0.7551, decode.d2.loss_cls: 0.2455, decode.d2.loss_mask: 0.4714, decode.d2.loss_dice: 0.7464, decode.d3.loss_cls: 0.2289, decode.d3.loss_mask: 0.4667, decode.d3.loss_dice: 0.7248, decode.d4.loss_cls: 0.2259, decode.d4.loss_mask: 0.4640, decode.d4.loss_dice: 0.7258, decode.d5.loss_cls: 0.2213, decode.d5.loss_mask: 0.4640, decode.d5.loss_dice: 0.7259, decode.d6.loss_cls: 0.2255, decode.d6.loss_mask: 0.4621, decode.d6.loss_dice: 0.7173, decode.d7.loss_cls: 0.2220, decode.d7.loss_mask: 0.4634, decode.d7.loss_dice: 0.7212, decode.d8.loss_cls: 0.2178, decode.d8.loss_mask: 0.4630, decode.d8.loss_dice: 0.7182, loss: 15.3230, grad_norm: 45.9752 2023-11-12 10:54:13,159 - mmseg - INFO - Iter [86900/160000] lr: 4.569e-05, eta: 10:13:08, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2205, decode.loss_mask: 0.4743, decode.loss_dice: 0.7209, decode.d0.loss_cls: 1.1994, decode.d0.loss_mask: 0.5097, decode.d0.loss_dice: 0.7874, decode.d1.loss_cls: 0.2970, decode.d1.loss_mask: 0.4885, decode.d1.loss_dice: 0.7549, decode.d2.loss_cls: 0.2571, decode.d2.loss_mask: 0.4808, decode.d2.loss_dice: 0.7425, decode.d3.loss_cls: 0.2421, decode.d3.loss_mask: 0.4728, decode.d3.loss_dice: 0.7257, decode.d4.loss_cls: 0.2355, decode.d4.loss_mask: 0.4723, decode.d4.loss_dice: 0.7270, decode.d5.loss_cls: 0.2312, decode.d5.loss_mask: 0.4732, decode.d5.loss_dice: 0.7208, decode.d6.loss_cls: 0.2248, decode.d6.loss_mask: 0.4717, decode.d6.loss_dice: 0.7173, decode.d7.loss_cls: 0.2234, decode.d7.loss_mask: 0.4722, decode.d7.loss_dice: 0.7207, decode.d8.loss_cls: 0.2239, decode.d8.loss_mask: 0.4737, decode.d8.loss_dice: 0.7198, loss: 15.4811, grad_norm: 49.6738 2023-11-12 10:54:36,847 - mmseg - INFO - Iter [86950/160000] lr: 4.566e-05, eta: 10:12:42, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2344, decode.loss_mask: 0.4822, decode.loss_dice: 0.7052, decode.d0.loss_cls: 1.2246, decode.d0.loss_mask: 0.5162, decode.d0.loss_dice: 0.7761, decode.d1.loss_cls: 0.3104, decode.d1.loss_mask: 0.4974, decode.d1.loss_dice: 0.7436, decode.d2.loss_cls: 0.2697, decode.d2.loss_mask: 0.4871, decode.d2.loss_dice: 0.7276, decode.d3.loss_cls: 0.2535, decode.d3.loss_mask: 0.4865, decode.d3.loss_dice: 0.7110, decode.d4.loss_cls: 0.2471, decode.d4.loss_mask: 0.4837, decode.d4.loss_dice: 0.7128, decode.d5.loss_cls: 0.2430, decode.d5.loss_mask: 0.4845, decode.d5.loss_dice: 0.7074, decode.d6.loss_cls: 0.2362, decode.d6.loss_mask: 0.4836, decode.d6.loss_dice: 0.7046, decode.d7.loss_cls: 0.2370, decode.d7.loss_mask: 0.4831, decode.d7.loss_dice: 0.7068, decode.d8.loss_cls: 0.2348, decode.d8.loss_mask: 0.4818, decode.d8.loss_dice: 0.7081, loss: 15.5800, grad_norm: 47.6304 2023-11-12 10:55:00,508 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 10:55:00,508 - mmseg - INFO - Iter [87000/160000] lr: 4.563e-05, eta: 10:12:15, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2093, decode.loss_mask: 0.4914, decode.loss_dice: 0.7239, decode.d0.loss_cls: 1.1875, decode.d0.loss_mask: 0.5252, decode.d0.loss_dice: 0.7814, decode.d1.loss_cls: 0.2869, decode.d1.loss_mask: 0.5092, decode.d1.loss_dice: 0.7573, decode.d2.loss_cls: 0.2488, decode.d2.loss_mask: 0.5006, decode.d2.loss_dice: 0.7375, decode.d3.loss_cls: 0.2276, decode.d3.loss_mask: 0.4960, decode.d3.loss_dice: 0.7273, decode.d4.loss_cls: 0.2193, decode.d4.loss_mask: 0.4943, decode.d4.loss_dice: 0.7274, decode.d5.loss_cls: 0.2135, decode.d5.loss_mask: 0.4934, decode.d5.loss_dice: 0.7284, decode.d6.loss_cls: 0.2160, decode.d6.loss_mask: 0.4924, decode.d6.loss_dice: 0.7206, decode.d7.loss_cls: 0.2095, decode.d7.loss_mask: 0.4918, decode.d7.loss_dice: 0.7233, decode.d8.loss_cls: 0.2068, decode.d8.loss_mask: 0.4921, decode.d8.loss_dice: 0.7247, loss: 15.5630, grad_norm: 48.6388 2023-11-12 10:55:24,351 - mmseg - INFO - Iter [87050/160000] lr: 4.559e-05, eta: 10:11:49, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2425, decode.loss_mask: 0.4952, decode.loss_dice: 0.7447, decode.d0.loss_cls: 1.2549, decode.d0.loss_mask: 0.5380, decode.d0.loss_dice: 0.8173, decode.d1.loss_cls: 0.3268, decode.d1.loss_mask: 0.5146, decode.d1.loss_dice: 0.7817, decode.d2.loss_cls: 0.2784, decode.d2.loss_mask: 0.5089, decode.d2.loss_dice: 0.7692, decode.d3.loss_cls: 0.2654, decode.d3.loss_mask: 0.4999, decode.d3.loss_dice: 0.7566, decode.d4.loss_cls: 0.2500, decode.d4.loss_mask: 0.4999, decode.d4.loss_dice: 0.7515, decode.d5.loss_cls: 0.2426, decode.d5.loss_mask: 0.4972, decode.d5.loss_dice: 0.7502, decode.d6.loss_cls: 0.2477, decode.d6.loss_mask: 0.4950, decode.d6.loss_dice: 0.7438, decode.d7.loss_cls: 0.2409, decode.d7.loss_mask: 0.4956, decode.d7.loss_dice: 0.7457, decode.d8.loss_cls: 0.2385, decode.d8.loss_mask: 0.4978, decode.d8.loss_dice: 0.7452, loss: 16.2354, grad_norm: 53.3231 2023-11-12 10:55:48,216 - mmseg - INFO - Iter [87100/160000] lr: 4.556e-05, eta: 10:11:23, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2303, decode.loss_mask: 0.4679, decode.loss_dice: 0.7099, decode.d0.loss_cls: 1.2179, decode.d0.loss_mask: 0.4964, decode.d0.loss_dice: 0.7772, decode.d1.loss_cls: 0.2980, decode.d1.loss_mask: 0.4819, decode.d1.loss_dice: 0.7526, decode.d2.loss_cls: 0.2656, decode.d2.loss_mask: 0.4732, decode.d2.loss_dice: 0.7313, decode.d3.loss_cls: 0.2487, decode.d3.loss_mask: 0.4691, decode.d3.loss_dice: 0.7189, decode.d4.loss_cls: 0.2428, decode.d4.loss_mask: 0.4703, decode.d4.loss_dice: 0.7187, decode.d5.loss_cls: 0.2351, decode.d5.loss_mask: 0.4694, decode.d5.loss_dice: 0.7148, decode.d6.loss_cls: 0.2368, decode.d6.loss_mask: 0.4689, decode.d6.loss_dice: 0.7137, decode.d7.loss_cls: 0.2332, decode.d7.loss_mask: 0.4678, decode.d7.loss_dice: 0.7132, decode.d8.loss_cls: 0.2296, decode.d8.loss_mask: 0.4675, decode.d8.loss_dice: 0.7138, loss: 15.4346, grad_norm: 50.9525 2023-11-12 10:56:14,269 - mmseg - INFO - Iter [87150/160000] lr: 4.553e-05, eta: 10:10:58, time: 0.521, data_time: 0.060, memory: 41146, decode.loss_cls: 0.2135, decode.loss_mask: 0.4753, decode.loss_dice: 0.7048, decode.d0.loss_cls: 1.2147, decode.d0.loss_mask: 0.5116, decode.d0.loss_dice: 0.7730, decode.d1.loss_cls: 0.2848, decode.d1.loss_mask: 0.4873, decode.d1.loss_dice: 0.7436, decode.d2.loss_cls: 0.2488, decode.d2.loss_mask: 0.4794, decode.d2.loss_dice: 0.7220, decode.d3.loss_cls: 0.2314, decode.d3.loss_mask: 0.4781, decode.d3.loss_dice: 0.7103, decode.d4.loss_cls: 0.2170, decode.d4.loss_mask: 0.4763, decode.d4.loss_dice: 0.7067, decode.d5.loss_cls: 0.2173, decode.d5.loss_mask: 0.4743, decode.d5.loss_dice: 0.7082, decode.d6.loss_cls: 0.2134, decode.d6.loss_mask: 0.4737, decode.d6.loss_dice: 0.7022, decode.d7.loss_cls: 0.2103, decode.d7.loss_mask: 0.4743, decode.d7.loss_dice: 0.7047, decode.d8.loss_cls: 0.2049, decode.d8.loss_mask: 0.4748, decode.d8.loss_dice: 0.7089, loss: 15.2457, grad_norm: 45.5328 2023-11-12 10:56:38,318 - mmseg - INFO - Iter [87200/160000] lr: 4.550e-05, eta: 10:10:32, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2222, decode.loss_mask: 0.4679, decode.loss_dice: 0.6815, decode.d0.loss_cls: 1.2021, decode.d0.loss_mask: 0.4989, decode.d0.loss_dice: 0.7450, decode.d1.loss_cls: 0.2989, decode.d1.loss_mask: 0.4826, decode.d1.loss_dice: 0.7127, decode.d2.loss_cls: 0.2566, decode.d2.loss_mask: 0.4760, decode.d2.loss_dice: 0.6972, decode.d3.loss_cls: 0.2410, decode.d3.loss_mask: 0.4737, decode.d3.loss_dice: 0.6833, decode.d4.loss_cls: 0.2295, decode.d4.loss_mask: 0.4702, decode.d4.loss_dice: 0.6831, decode.d5.loss_cls: 0.2240, decode.d5.loss_mask: 0.4715, decode.d5.loss_dice: 0.6819, decode.d6.loss_cls: 0.2235, decode.d6.loss_mask: 0.4687, decode.d6.loss_dice: 0.6792, decode.d7.loss_cls: 0.2212, decode.d7.loss_mask: 0.4690, decode.d7.loss_dice: 0.6825, decode.d8.loss_cls: 0.2214, decode.d8.loss_mask: 0.4688, decode.d8.loss_dice: 0.6793, loss: 15.0132, grad_norm: 47.8916 2023-11-12 10:57:02,139 - mmseg - INFO - Iter [87250/160000] lr: 4.547e-05, eta: 10:10:06, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2194, decode.loss_mask: 0.4709, decode.loss_dice: 0.7148, decode.d0.loss_cls: 1.2127, decode.d0.loss_mask: 0.5034, decode.d0.loss_dice: 0.7708, decode.d1.loss_cls: 0.2782, decode.d1.loss_mask: 0.4867, decode.d1.loss_dice: 0.7538, decode.d2.loss_cls: 0.2401, decode.d2.loss_mask: 0.4782, decode.d2.loss_dice: 0.7343, decode.d3.loss_cls: 0.2390, decode.d3.loss_mask: 0.4746, decode.d3.loss_dice: 0.7207, decode.d4.loss_cls: 0.2347, decode.d4.loss_mask: 0.4730, decode.d4.loss_dice: 0.7202, decode.d5.loss_cls: 0.2228, decode.d5.loss_mask: 0.4729, decode.d5.loss_dice: 0.7239, decode.d6.loss_cls: 0.2268, decode.d6.loss_mask: 0.4692, decode.d6.loss_dice: 0.7195, decode.d7.loss_cls: 0.2216, decode.d7.loss_mask: 0.4715, decode.d7.loss_dice: 0.7177, decode.d8.loss_cls: 0.2269, decode.d8.loss_mask: 0.4715, decode.d8.loss_dice: 0.7177, loss: 15.3874, grad_norm: 48.8885 2023-11-12 10:57:25,978 - mmseg - INFO - Iter [87300/160000] lr: 4.544e-05, eta: 10:09:40, time: 0.477, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2049, decode.loss_mask: 0.4696, decode.loss_dice: 0.7049, decode.d0.loss_cls: 1.1840, decode.d0.loss_mask: 0.5029, decode.d0.loss_dice: 0.7674, decode.d1.loss_cls: 0.2730, decode.d1.loss_mask: 0.4857, decode.d1.loss_dice: 0.7475, decode.d2.loss_cls: 0.2371, decode.d2.loss_mask: 0.4780, decode.d2.loss_dice: 0.7286, decode.d3.loss_cls: 0.2253, decode.d3.loss_mask: 0.4742, decode.d3.loss_dice: 0.7105, decode.d4.loss_cls: 0.2165, decode.d4.loss_mask: 0.4724, decode.d4.loss_dice: 0.7106, decode.d5.loss_cls: 0.2129, decode.d5.loss_mask: 0.4712, decode.d5.loss_dice: 0.7095, decode.d6.loss_cls: 0.2114, decode.d6.loss_mask: 0.4696, decode.d6.loss_dice: 0.7001, decode.d7.loss_cls: 0.2062, decode.d7.loss_mask: 0.4705, decode.d7.loss_dice: 0.7064, decode.d8.loss_cls: 0.2033, decode.d8.loss_mask: 0.4706, decode.d8.loss_dice: 0.7073, loss: 15.1320, grad_norm: 45.1672 2023-11-12 10:57:49,741 - mmseg - INFO - Iter [87350/160000] lr: 4.541e-05, eta: 10:09:14, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2239, decode.loss_mask: 0.4613, decode.loss_dice: 0.7178, decode.d0.loss_cls: 1.1924, decode.d0.loss_mask: 0.4919, decode.d0.loss_dice: 0.7836, decode.d1.loss_cls: 0.2938, decode.d1.loss_mask: 0.4728, decode.d1.loss_dice: 0.7544, decode.d2.loss_cls: 0.2497, decode.d2.loss_mask: 0.4667, decode.d2.loss_dice: 0.7352, decode.d3.loss_cls: 0.2423, decode.d3.loss_mask: 0.4624, decode.d3.loss_dice: 0.7224, decode.d4.loss_cls: 0.2337, decode.d4.loss_mask: 0.4634, decode.d4.loss_dice: 0.7208, decode.d5.loss_cls: 0.2274, decode.d5.loss_mask: 0.4639, decode.d5.loss_dice: 0.7209, decode.d6.loss_cls: 0.2272, decode.d6.loss_mask: 0.4661, decode.d6.loss_dice: 0.7157, decode.d7.loss_cls: 0.2247, decode.d7.loss_mask: 0.4648, decode.d7.loss_dice: 0.7170, decode.d8.loss_cls: 0.2223, decode.d8.loss_mask: 0.4631, decode.d8.loss_dice: 0.7215, loss: 15.3230, grad_norm: 45.9726 2023-11-12 10:58:13,476 - mmseg - INFO - Iter [87400/160000] lr: 4.538e-05, eta: 10:08:47, time: 0.475, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2233, decode.loss_mask: 0.4637, decode.loss_dice: 0.7107, decode.d0.loss_cls: 1.2389, decode.d0.loss_mask: 0.4997, decode.d0.loss_dice: 0.7782, decode.d1.loss_cls: 0.2952, decode.d1.loss_mask: 0.4823, decode.d1.loss_dice: 0.7510, decode.d2.loss_cls: 0.2507, decode.d2.loss_mask: 0.4728, decode.d2.loss_dice: 0.7307, decode.d3.loss_cls: 0.2373, decode.d3.loss_mask: 0.4691, decode.d3.loss_dice: 0.7180, decode.d4.loss_cls: 0.2280, decode.d4.loss_mask: 0.4676, decode.d4.loss_dice: 0.7179, decode.d5.loss_cls: 0.2225, decode.d5.loss_mask: 0.4649, decode.d5.loss_dice: 0.7167, decode.d6.loss_cls: 0.2243, decode.d6.loss_mask: 0.4652, decode.d6.loss_dice: 0.7129, decode.d7.loss_cls: 0.2197, decode.d7.loss_mask: 0.4656, decode.d7.loss_dice: 0.7089, decode.d8.loss_cls: 0.2201, decode.d8.loss_mask: 0.4642, decode.d8.loss_dice: 0.7122, loss: 15.3323, grad_norm: 44.6555 2023-11-12 10:58:37,219 - mmseg - INFO - Iter [87450/160000] lr: 4.534e-05, eta: 10:08:21, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2135, decode.loss_mask: 0.4520, decode.loss_dice: 0.6914, decode.d0.loss_cls: 1.2037, decode.d0.loss_mask: 0.4852, decode.d0.loss_dice: 0.7580, decode.d1.loss_cls: 0.2847, decode.d1.loss_mask: 0.4637, decode.d1.loss_dice: 0.7165, decode.d2.loss_cls: 0.2512, decode.d2.loss_mask: 0.4567, decode.d2.loss_dice: 0.7093, decode.d3.loss_cls: 0.2373, decode.d3.loss_mask: 0.4525, decode.d3.loss_dice: 0.6954, decode.d4.loss_cls: 0.2349, decode.d4.loss_mask: 0.4508, decode.d4.loss_dice: 0.6977, decode.d5.loss_cls: 0.2297, decode.d5.loss_mask: 0.4514, decode.d5.loss_dice: 0.6943, decode.d6.loss_cls: 0.2194, decode.d6.loss_mask: 0.4501, decode.d6.loss_dice: 0.6903, decode.d7.loss_cls: 0.2181, decode.d7.loss_mask: 0.4508, decode.d7.loss_dice: 0.6899, decode.d8.loss_cls: 0.2156, decode.d8.loss_mask: 0.4515, decode.d8.loss_dice: 0.6942, loss: 14.9098, grad_norm: 44.5184 2023-11-12 10:59:00,927 - mmseg - INFO - Iter [87500/160000] lr: 4.531e-05, eta: 10:07:55, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2147, decode.loss_mask: 0.4581, decode.loss_dice: 0.6989, decode.d0.loss_cls: 1.1874, decode.d0.loss_mask: 0.4887, decode.d0.loss_dice: 0.7574, decode.d1.loss_cls: 0.2758, decode.d1.loss_mask: 0.4761, decode.d1.loss_dice: 0.7331, decode.d2.loss_cls: 0.2366, decode.d2.loss_mask: 0.4675, decode.d2.loss_dice: 0.7128, decode.d3.loss_cls: 0.2236, decode.d3.loss_mask: 0.4603, decode.d3.loss_dice: 0.7034, decode.d4.loss_cls: 0.2210, decode.d4.loss_mask: 0.4615, decode.d4.loss_dice: 0.7014, decode.d5.loss_cls: 0.2192, decode.d5.loss_mask: 0.4574, decode.d5.loss_dice: 0.7003, decode.d6.loss_cls: 0.2174, decode.d6.loss_mask: 0.4569, decode.d6.loss_dice: 0.6998, decode.d7.loss_cls: 0.2088, decode.d7.loss_mask: 0.4583, decode.d7.loss_dice: 0.6980, decode.d8.loss_cls: 0.2155, decode.d8.loss_mask: 0.4598, decode.d8.loss_dice: 0.7004, loss: 14.9702, grad_norm: 44.7169 2023-11-12 10:59:25,079 - mmseg - INFO - Iter [87550/160000] lr: 4.528e-05, eta: 10:07:29, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2268, decode.loss_mask: 0.4838, decode.loss_dice: 0.7123, decode.d0.loss_cls: 1.1968, decode.d0.loss_mask: 0.5145, decode.d0.loss_dice: 0.7615, decode.d1.loss_cls: 0.2919, decode.d1.loss_mask: 0.4975, decode.d1.loss_dice: 0.7407, decode.d2.loss_cls: 0.2559, decode.d2.loss_mask: 0.4900, decode.d2.loss_dice: 0.7253, decode.d3.loss_cls: 0.2492, decode.d3.loss_mask: 0.4885, decode.d3.loss_dice: 0.7162, decode.d4.loss_cls: 0.2379, decode.d4.loss_mask: 0.4873, decode.d4.loss_dice: 0.7156, decode.d5.loss_cls: 0.2312, decode.d5.loss_mask: 0.4869, decode.d5.loss_dice: 0.7138, decode.d6.loss_cls: 0.2308, decode.d6.loss_mask: 0.4834, decode.d6.loss_dice: 0.7071, decode.d7.loss_cls: 0.2246, decode.d7.loss_mask: 0.4845, decode.d7.loss_dice: 0.7097, decode.d8.loss_cls: 0.2263, decode.d8.loss_mask: 0.4841, decode.d8.loss_dice: 0.7120, loss: 15.4860, grad_norm: 49.6290 2023-11-12 10:59:49,063 - mmseg - INFO - Iter [87600/160000] lr: 4.525e-05, eta: 10:07:02, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2252, decode.loss_mask: 0.4602, decode.loss_dice: 0.7062, decode.d0.loss_cls: 1.1831, decode.d0.loss_mask: 0.4966, decode.d0.loss_dice: 0.7696, decode.d1.loss_cls: 0.2977, decode.d1.loss_mask: 0.4783, decode.d1.loss_dice: 0.7462, decode.d2.loss_cls: 0.2580, decode.d2.loss_mask: 0.4676, decode.d2.loss_dice: 0.7252, decode.d3.loss_cls: 0.2423, decode.d3.loss_mask: 0.4634, decode.d3.loss_dice: 0.7119, decode.d4.loss_cls: 0.2378, decode.d4.loss_mask: 0.4623, decode.d4.loss_dice: 0.7137, decode.d5.loss_cls: 0.2334, decode.d5.loss_mask: 0.4631, decode.d5.loss_dice: 0.7114, decode.d6.loss_cls: 0.2336, decode.d6.loss_mask: 0.4603, decode.d6.loss_dice: 0.7090, decode.d7.loss_cls: 0.2235, decode.d7.loss_mask: 0.4614, decode.d7.loss_dice: 0.7085, decode.d8.loss_cls: 0.2233, decode.d8.loss_mask: 0.4600, decode.d8.loss_dice: 0.7105, loss: 15.2433, grad_norm: 46.8482 2023-11-12 11:00:12,798 - mmseg - INFO - Iter [87650/160000] lr: 4.522e-05, eta: 10:06:36, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2188, decode.loss_mask: 0.4555, decode.loss_dice: 0.6978, decode.d0.loss_cls: 1.2070, decode.d0.loss_mask: 0.4837, decode.d0.loss_dice: 0.7592, decode.d1.loss_cls: 0.2971, decode.d1.loss_mask: 0.4674, decode.d1.loss_dice: 0.7334, decode.d2.loss_cls: 0.2494, decode.d2.loss_mask: 0.4615, decode.d2.loss_dice: 0.7159, decode.d3.loss_cls: 0.2424, decode.d3.loss_mask: 0.4562, decode.d3.loss_dice: 0.6948, decode.d4.loss_cls: 0.2348, decode.d4.loss_mask: 0.4548, decode.d4.loss_dice: 0.6972, decode.d5.loss_cls: 0.2268, decode.d5.loss_mask: 0.4557, decode.d5.loss_dice: 0.7009, decode.d6.loss_cls: 0.2221, decode.d6.loss_mask: 0.4548, decode.d6.loss_dice: 0.6993, decode.d7.loss_cls: 0.2223, decode.d7.loss_mask: 0.4554, decode.d7.loss_dice: 0.6941, decode.d8.loss_cls: 0.2196, decode.d8.loss_mask: 0.4553, decode.d8.loss_dice: 0.6970, loss: 15.0302, grad_norm: 46.3805 2023-11-12 11:00:36,782 - mmseg - INFO - Iter [87700/160000] lr: 4.519e-05, eta: 10:06:10, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2132, decode.loss_mask: 0.4627, decode.loss_dice: 0.7023, decode.d0.loss_cls: 1.2017, decode.d0.loss_mask: 0.4943, decode.d0.loss_dice: 0.7705, decode.d1.loss_cls: 0.2709, decode.d1.loss_mask: 0.4737, decode.d1.loss_dice: 0.7360, decode.d2.loss_cls: 0.2460, decode.d2.loss_mask: 0.4686, decode.d2.loss_dice: 0.7137, decode.d3.loss_cls: 0.2320, decode.d3.loss_mask: 0.4648, decode.d3.loss_dice: 0.7017, decode.d4.loss_cls: 0.2240, decode.d4.loss_mask: 0.4658, decode.d4.loss_dice: 0.7020, decode.d5.loss_cls: 0.2174, decode.d5.loss_mask: 0.4638, decode.d5.loss_dice: 0.7052, decode.d6.loss_cls: 0.2203, decode.d6.loss_mask: 0.4637, decode.d6.loss_dice: 0.6993, decode.d7.loss_cls: 0.2147, decode.d7.loss_mask: 0.4622, decode.d7.loss_dice: 0.7037, decode.d8.loss_cls: 0.2173, decode.d8.loss_mask: 0.4618, decode.d8.loss_dice: 0.7016, loss: 15.0748, grad_norm: 44.9346 2023-11-12 11:01:00,476 - mmseg - INFO - Iter [87750/160000] lr: 4.516e-05, eta: 10:05:44, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2200, decode.loss_mask: 0.4730, decode.loss_dice: 0.7140, decode.d0.loss_cls: 1.2171, decode.d0.loss_mask: 0.5117, decode.d0.loss_dice: 0.7790, decode.d1.loss_cls: 0.2919, decode.d1.loss_mask: 0.4914, decode.d1.loss_dice: 0.7525, decode.d2.loss_cls: 0.2565, decode.d2.loss_mask: 0.4813, decode.d2.loss_dice: 0.7281, decode.d3.loss_cls: 0.2335, decode.d3.loss_mask: 0.4754, decode.d3.loss_dice: 0.7198, decode.d4.loss_cls: 0.2279, decode.d4.loss_mask: 0.4745, decode.d4.loss_dice: 0.7145, decode.d5.loss_cls: 0.2273, decode.d5.loss_mask: 0.4740, decode.d5.loss_dice: 0.7174, decode.d6.loss_cls: 0.2215, decode.d6.loss_mask: 0.4741, decode.d6.loss_dice: 0.7162, decode.d7.loss_cls: 0.2240, decode.d7.loss_mask: 0.4737, decode.d7.loss_dice: 0.7136, decode.d8.loss_cls: 0.2229, decode.d8.loss_mask: 0.4738, decode.d8.loss_dice: 0.7159, loss: 15.4163, grad_norm: 49.3316 2023-11-12 11:01:24,363 - mmseg - INFO - Iter [87800/160000] lr: 4.513e-05, eta: 10:05:17, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2143, decode.loss_mask: 0.4532, decode.loss_dice: 0.6928, decode.d0.loss_cls: 1.2396, decode.d0.loss_mask: 0.4958, decode.d0.loss_dice: 0.7617, decode.d1.loss_cls: 0.2908, decode.d1.loss_mask: 0.4680, decode.d1.loss_dice: 0.7250, decode.d2.loss_cls: 0.2530, decode.d2.loss_mask: 0.4600, decode.d2.loss_dice: 0.7042, decode.d3.loss_cls: 0.2341, decode.d3.loss_mask: 0.4558, decode.d3.loss_dice: 0.6976, decode.d4.loss_cls: 0.2282, decode.d4.loss_mask: 0.4552, decode.d4.loss_dice: 0.6982, decode.d5.loss_cls: 0.2205, decode.d5.loss_mask: 0.4555, decode.d5.loss_dice: 0.6978, decode.d6.loss_cls: 0.2225, decode.d6.loss_mask: 0.4552, decode.d6.loss_dice: 0.6921, decode.d7.loss_cls: 0.2155, decode.d7.loss_mask: 0.4541, decode.d7.loss_dice: 0.6941, decode.d8.loss_cls: 0.2146, decode.d8.loss_mask: 0.4536, decode.d8.loss_dice: 0.6975, loss: 15.0004, grad_norm: 45.7655 2023-11-12 11:01:47,963 - mmseg - INFO - Iter [87850/160000] lr: 4.509e-05, eta: 10:04:51, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2112, decode.loss_mask: 0.4604, decode.loss_dice: 0.6893, decode.d0.loss_cls: 1.1995, decode.d0.loss_mask: 0.4913, decode.d0.loss_dice: 0.7514, decode.d1.loss_cls: 0.2724, decode.d1.loss_mask: 0.4747, decode.d1.loss_dice: 0.7273, decode.d2.loss_cls: 0.2440, decode.d2.loss_mask: 0.4640, decode.d2.loss_dice: 0.7022, decode.d3.loss_cls: 0.2250, decode.d3.loss_mask: 0.4608, decode.d3.loss_dice: 0.6938, decode.d4.loss_cls: 0.2155, decode.d4.loss_mask: 0.4599, decode.d4.loss_dice: 0.6942, decode.d5.loss_cls: 0.2197, decode.d5.loss_mask: 0.4601, decode.d5.loss_dice: 0.6954, decode.d6.loss_cls: 0.2150, decode.d6.loss_mask: 0.4595, decode.d6.loss_dice: 0.6870, decode.d7.loss_cls: 0.2113, decode.d7.loss_mask: 0.4596, decode.d7.loss_dice: 0.6945, decode.d8.loss_cls: 0.2082, decode.d8.loss_mask: 0.4585, decode.d8.loss_dice: 0.6906, loss: 14.8961, grad_norm: 51.0184 2023-11-12 11:02:11,783 - mmseg - INFO - Iter [87900/160000] lr: 4.506e-05, eta: 10:04:25, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2285, decode.loss_mask: 0.4569, decode.loss_dice: 0.7173, decode.d0.loss_cls: 1.2409, decode.d0.loss_mask: 0.4891, decode.d0.loss_dice: 0.7883, decode.d1.loss_cls: 0.3020, decode.d1.loss_mask: 0.4696, decode.d1.loss_dice: 0.7579, decode.d2.loss_cls: 0.2648, decode.d2.loss_mask: 0.4618, decode.d2.loss_dice: 0.7353, decode.d3.loss_cls: 0.2492, decode.d3.loss_mask: 0.4589, decode.d3.loss_dice: 0.7183, decode.d4.loss_cls: 0.2412, decode.d4.loss_mask: 0.4588, decode.d4.loss_dice: 0.7205, decode.d5.loss_cls: 0.2317, decode.d5.loss_mask: 0.4587, decode.d5.loss_dice: 0.7183, decode.d6.loss_cls: 0.2284, decode.d6.loss_mask: 0.4590, decode.d6.loss_dice: 0.7177, decode.d7.loss_cls: 0.2291, decode.d7.loss_mask: 0.4572, decode.d7.loss_dice: 0.7201, decode.d8.loss_cls: 0.2274, decode.d8.loss_mask: 0.4581, decode.d8.loss_dice: 0.7199, loss: 15.3850, grad_norm: 47.1509 2023-11-12 11:02:35,634 - mmseg - INFO - Iter [87950/160000] lr: 4.503e-05, eta: 10:03:59, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2333, decode.loss_mask: 0.4856, decode.loss_dice: 0.7123, decode.d0.loss_cls: 1.2071, decode.d0.loss_mask: 0.5192, decode.d0.loss_dice: 0.7783, decode.d1.loss_cls: 0.2970, decode.d1.loss_mask: 0.5022, decode.d1.loss_dice: 0.7562, decode.d2.loss_cls: 0.2715, decode.d2.loss_mask: 0.4922, decode.d2.loss_dice: 0.7333, decode.d3.loss_cls: 0.2503, decode.d3.loss_mask: 0.4903, decode.d3.loss_dice: 0.7189, decode.d4.loss_cls: 0.2393, decode.d4.loss_mask: 0.4890, decode.d4.loss_dice: 0.7253, decode.d5.loss_cls: 0.2413, decode.d5.loss_mask: 0.4878, decode.d5.loss_dice: 0.7181, decode.d6.loss_cls: 0.2389, decode.d6.loss_mask: 0.4868, decode.d6.loss_dice: 0.7157, decode.d7.loss_cls: 0.2382, decode.d7.loss_mask: 0.4856, decode.d7.loss_dice: 0.7146, decode.d8.loss_cls: 0.2350, decode.d8.loss_mask: 0.4843, decode.d8.loss_dice: 0.7156, loss: 15.6633, grad_norm: 48.4639 2023-11-12 11:02:59,404 - mmseg - INFO - Saving checkpoint at 88000 iterations 2023-11-12 11:03:03,378 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 11:03:03,379 - mmseg - INFO - Iter [88000/160000] lr: 4.500e-05, eta: 10:03:36, time: 0.555, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2013, decode.loss_mask: 0.4694, decode.loss_dice: 0.6917, decode.d0.loss_cls: 1.1474, decode.d0.loss_mask: 0.5045, decode.d0.loss_dice: 0.7483, decode.d1.loss_cls: 0.2666, decode.d1.loss_mask: 0.4874, decode.d1.loss_dice: 0.7242, decode.d2.loss_cls: 0.2294, decode.d2.loss_mask: 0.4776, decode.d2.loss_dice: 0.7108, decode.d3.loss_cls: 0.2164, decode.d3.loss_mask: 0.4724, decode.d3.loss_dice: 0.6977, decode.d4.loss_cls: 0.2002, decode.d4.loss_mask: 0.4756, decode.d4.loss_dice: 0.7000, decode.d5.loss_cls: 0.2079, decode.d5.loss_mask: 0.4739, decode.d5.loss_dice: 0.6983, decode.d6.loss_cls: 0.2034, decode.d6.loss_mask: 0.4733, decode.d6.loss_dice: 0.6931, decode.d7.loss_cls: 0.2014, decode.d7.loss_mask: 0.4722, decode.d7.loss_dice: 0.6923, decode.d8.loss_cls: 0.2027, decode.d8.loss_mask: 0.4711, decode.d8.loss_dice: 0.6951, loss: 14.9056, grad_norm: 51.5030 2023-11-12 11:03:22,191 - mmseg - INFO - per class results: 2023-11-12 11:03:22,200 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.35 | 88.39 | | building | 82.71 | 91.0 | | sky | 94.7 | 97.11 | | floor | 83.4 | 89.93 | | tree | 75.5 | 86.62 | | ceiling | 84.49 | 90.13 | | road | 86.88 | 91.4 | | bed | 90.92 | 95.63 | | windowpane | 61.59 | 79.43 | | grass | 70.03 | 81.71 | | cabinet | 65.25 | 76.49 | | sidewalk | 69.03 | 81.79 | | person | 84.16 | 92.7 | | earth | 39.72 | 65.89 | | door | 48.89 | 67.15 | | table | 63.9 | 80.32 | | mountain | 61.48 | 69.85 | | plant | 55.48 | 69.98 | | curtain | 77.53 | 85.86 | | chair | 62.27 | 77.21 | | car | 86.31 | 92.64 | | water | 55.76 | 74.26 | | painting | 75.05 | 89.93 | | sofa | 68.31 | 83.63 | | shelf | 47.66 | 65.92 | | house | 45.09 | 76.64 | | sea | 69.2 | 90.44 | | mirror | 69.27 | 81.23 | | rug | 69.0 | 81.06 | | field | 33.01 | 42.71 | | armchair | 45.0 | 61.43 | | seat | 63.16 | 77.08 | | fence | 50.17 | 69.39 | | desk | 49.08 | 71.61 | | rock | 49.18 | 79.76 | | wardrobe | 46.52 | 63.48 | | lamp | 70.64 | 82.26 | | bathtub | 73.6 | 86.06 | | railing | 38.26 | 54.59 | | cushion | 63.44 | 78.39 | | base | 38.83 | 64.32 | | box | 28.61 | 37.84 | | column | 40.06 | 52.49 | | signboard | 37.86 | 57.78 | | chest of drawers | 47.61 | 68.19 | | counter | 24.62 | 37.74 | | sand | 36.44 | 46.76 | | sink | 72.51 | 82.69 | | skyscraper | 36.84 | 41.38 | | fireplace | 75.46 | 90.9 | | refrigerator | 79.75 | 90.97 | | grandstand | 46.89 | 70.93 | | path | 24.07 | 33.99 | | stairs | 28.47 | 44.59 | | runway | 83.35 | 97.38 | | case | 48.95 | 57.44 | | pool table | 94.53 | 97.32 | | pillow | 60.81 | 74.95 | | screen door | 42.6 | 48.52 | | stairway | 31.49 | 42.19 | | river | 14.01 | 22.77 | | bridge | 77.9 | 87.79 | | bookcase | 41.7 | 61.63 | | blind | 43.98 | 55.57 | | coffee table | 67.16 | 81.92 | | toilet | 89.57 | 92.85 | | flower | 43.6 | 55.33 | | book | 52.34 | 76.8 | | hill | 6.31 | 15.47 | | bench | 43.13 | 58.87 | | countertop | 56.88 | 75.35 | | stove | 84.74 | 90.25 | | palm | 55.33 | 72.09 | | kitchen island | 52.56 | 88.16 | | computer | 69.74 | 76.01 | | swivel chair | 42.32 | 54.39 | | boat | 70.97 | 86.25 | | bar | 31.29 | 39.8 | | arcade machine | 73.9 | 79.92 | | hovel | 5.46 | 8.06 | | bus | 93.89 | 96.19 | | towel | 66.09 | 80.02 | | light | 60.87 | 74.61 | | truck | 34.45 | 58.13 | | tower | 20.35 | 33.84 | | chandelier | 74.03 | 86.44 | | awning | 32.67 | 49.11 | | streetlight | 45.06 | 59.93 | | booth | 30.17 | 40.3 | | television receiver | 72.63 | 82.92 | | airplane | 69.37 | 77.0 | | dirt track | 13.57 | 38.46 | | apparel | 25.55 | 45.89 | | pole | 30.05 | 57.65 | | land | 6.68 | 9.66 | | bannister | 18.45 | 26.16 | | escalator | 20.81 | 21.65 | | ottoman | 46.09 | 60.84 | | bottle | 28.35 | 35.41 | | buffet | 44.18 | 54.93 | | poster | 21.33 | 25.57 | | stage | 18.36 | 32.3 | | van | 48.3 | 71.96 | | ship | 10.18 | 10.66 | | fountain | 18.52 | 21.78 | | conveyer belt | 43.5 | 67.56 | | canopy | 28.44 | 40.67 | | washer | 71.26 | 74.02 | | plaything | 46.5 | 64.36 | | swimming pool | 55.83 | 60.77 | | stool | 50.15 | 72.38 | | barrel | 71.6 | 76.66 | | basket | 42.07 | 56.38 | | waterfall | 43.74 | 60.94 | | tent | 95.82 | 98.04 | | bag | 21.01 | 27.57 | | minibike | 76.14 | 92.1 | | cradle | 70.11 | 97.42 | | oven | 23.13 | 63.49 | | ball | 45.71 | 60.15 | | food | 60.49 | 76.53 | | step | 21.7 | 28.2 | | tank | 40.66 | 65.92 | | trade name | 18.99 | 22.24 | | microwave | 41.27 | 45.99 | | pot | 49.76 | 57.51 | | animal | 59.65 | 62.13 | | bicycle | 62.46 | 78.32 | | lake | 0.02 | 0.03 | | dishwasher | 81.37 | 88.27 | | screen | 62.26 | 88.61 | | blanket | 18.18 | 25.85 | | sculpture | 66.49 | 85.12 | | hood | 77.81 | 93.13 | | sconce | 51.96 | 63.82 | | vase | 53.18 | 67.22 | | traffic light | 35.11 | 61.61 | | tray | 16.82 | 35.61 | | ashcan | 47.52 | 70.39 | | fan | 70.15 | 84.75 | | pier | 33.98 | 46.63 | | crt screen | 3.41 | 9.06 | | plate | 62.05 | 77.37 | | monitor | 10.58 | 14.54 | | bulletin board | 40.35 | 56.08 | | shower | 3.84 | 22.9 | | radiator | 71.74 | 85.43 | | glass | 19.57 | 22.51 | | clock | 37.5 | 43.64 | | flag | 33.48 | 37.09 | +---------------------+-------+-------+ 2023-11-12 11:03:22,200 - mmseg - INFO - Summary: 2023-11-12 11:03:22,201 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.89 | 50.63 | 63.73 | +-------+-------+-------+ 2023-11-12 11:03:22,202 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 11:03:22,202 - mmseg - INFO - Iter(val) [250] aAcc: 0.8389, mIoU: 0.5063, mAcc: 0.6373, IoU.wall: 0.7935, IoU.building: 0.8271, IoU.sky: 0.9470, IoU.floor: 0.8340, IoU.tree: 0.7550, IoU.ceiling: 0.8449, IoU.road: 0.8688, IoU.bed : 0.9092, IoU.windowpane: 0.6159, IoU.grass: 0.7003, IoU.cabinet: 0.6525, IoU.sidewalk: 0.6903, IoU.person: 0.8416, IoU.earth: 0.3972, IoU.door: 0.4889, IoU.table: 0.6390, IoU.mountain: 0.6148, IoU.plant: 0.5548, IoU.curtain: 0.7753, IoU.chair: 0.6227, IoU.car: 0.8631, IoU.water: 0.5576, IoU.painting: 0.7505, IoU.sofa: 0.6831, IoU.shelf: 0.4766, IoU.house: 0.4509, IoU.sea: 0.6920, IoU.mirror: 0.6927, IoU.rug: 0.6900, IoU.field: 0.3301, IoU.armchair: 0.4500, IoU.seat: 0.6316, IoU.fence: 0.5017, IoU.desk: 0.4908, IoU.rock: 0.4918, IoU.wardrobe: 0.4652, IoU.lamp: 0.7064, IoU.bathtub: 0.7360, IoU.railing: 0.3826, IoU.cushion: 0.6344, IoU.base: 0.3883, IoU.box: 0.2861, IoU.column: 0.4006, IoU.signboard: 0.3786, IoU.chest of drawers: 0.4761, IoU.counter: 0.2462, IoU.sand: 0.3644, IoU.sink: 0.7251, IoU.skyscraper: 0.3684, IoU.fireplace: 0.7546, IoU.refrigerator: 0.7975, IoU.grandstand: 0.4689, IoU.path: 0.2407, IoU.stairs: 0.2847, IoU.runway: 0.8335, IoU.case: 0.4895, IoU.pool table: 0.9453, IoU.pillow: 0.6081, IoU.screen door: 0.4260, IoU.stairway: 0.3149, IoU.river: 0.1401, IoU.bridge: 0.7790, IoU.bookcase: 0.4170, IoU.blind: 0.4398, IoU.coffee table: 0.6716, IoU.toilet: 0.8957, IoU.flower: 0.4360, IoU.book: 0.5234, IoU.hill: 0.0631, IoU.bench: 0.4313, IoU.countertop: 0.5688, IoU.stove: 0.8474, IoU.palm: 0.5533, IoU.kitchen island: 0.5256, IoU.computer: 0.6974, IoU.swivel chair: 0.4232, IoU.boat: 0.7097, IoU.bar: 0.3129, IoU.arcade machine: 0.7390, IoU.hovel: 0.0546, IoU.bus: 0.9389, IoU.towel: 0.6609, IoU.light: 0.6087, IoU.truck: 0.3445, IoU.tower: 0.2035, IoU.chandelier: 0.7403, IoU.awning: 0.3267, IoU.streetlight: 0.4506, IoU.booth: 0.3017, IoU.television receiver: 0.7263, IoU.airplane: 0.6937, IoU.dirt track: 0.1357, IoU.apparel: 0.2555, IoU.pole: 0.3005, IoU.land: 0.0668, IoU.bannister: 0.1845, IoU.escalator: 0.2081, IoU.ottoman: 0.4609, IoU.bottle: 0.2835, IoU.buffet: 0.4418, IoU.poster: 0.2133, IoU.stage: 0.1836, IoU.van: 0.4830, IoU.ship: 0.1018, IoU.fountain: 0.1852, IoU.conveyer belt: 0.4350, IoU.canopy: 0.2844, IoU.washer: 0.7126, IoU.plaything: 0.4650, IoU.swimming pool: 0.5583, IoU.stool: 0.5015, IoU.barrel: 0.7160, IoU.basket: 0.4207, IoU.waterfall: 0.4374, IoU.tent: 0.9582, IoU.bag: 0.2101, IoU.minibike: 0.7614, IoU.cradle: 0.7011, IoU.oven: 0.2313, IoU.ball: 0.4571, IoU.food: 0.6049, IoU.step: 0.2170, IoU.tank: 0.4066, IoU.trade name: 0.1899, IoU.microwave: 0.4127, IoU.pot: 0.4976, IoU.animal: 0.5965, IoU.bicycle: 0.6246, IoU.lake: 0.0002, IoU.dishwasher: 0.8137, IoU.screen: 0.6226, IoU.blanket: 0.1818, IoU.sculpture: 0.6649, IoU.hood: 0.7781, IoU.sconce: 0.5196, IoU.vase: 0.5318, IoU.traffic light: 0.3511, IoU.tray: 0.1682, IoU.ashcan: 0.4752, IoU.fan: 0.7015, IoU.pier: 0.3398, IoU.crt screen: 0.0341, IoU.plate: 0.6205, IoU.monitor: 0.1058, IoU.bulletin board: 0.4035, IoU.shower: 0.0384, IoU.radiator: 0.7174, IoU.glass: 0.1957, IoU.clock: 0.3750, IoU.flag: 0.3348, Acc.wall: 0.8839, Acc.building: 0.9100, Acc.sky: 0.9711, Acc.floor: 0.8993, Acc.tree: 0.8662, Acc.ceiling: 0.9013, Acc.road: 0.9140, Acc.bed : 0.9563, Acc.windowpane: 0.7943, Acc.grass: 0.8171, Acc.cabinet: 0.7649, Acc.sidewalk: 0.8179, Acc.person: 0.9270, Acc.earth: 0.6589, Acc.door: 0.6715, Acc.table: 0.8032, Acc.mountain: 0.6985, Acc.plant: 0.6998, Acc.curtain: 0.8586, Acc.chair: 0.7721, Acc.car: 0.9264, Acc.water: 0.7426, Acc.painting: 0.8993, Acc.sofa: 0.8363, Acc.shelf: 0.6592, Acc.house: 0.7664, Acc.sea: 0.9044, Acc.mirror: 0.8123, Acc.rug: 0.8106, Acc.field: 0.4271, Acc.armchair: 0.6143, Acc.seat: 0.7708, Acc.fence: 0.6939, Acc.desk: 0.7161, Acc.rock: 0.7976, Acc.wardrobe: 0.6348, Acc.lamp: 0.8226, Acc.bathtub: 0.8606, Acc.railing: 0.5459, Acc.cushion: 0.7839, Acc.base: 0.6432, Acc.box: 0.3784, Acc.column: 0.5249, Acc.signboard: 0.5778, Acc.chest of drawers: 0.6819, Acc.counter: 0.3774, Acc.sand: 0.4676, Acc.sink: 0.8269, Acc.skyscraper: 0.4138, Acc.fireplace: 0.9090, Acc.refrigerator: 0.9097, Acc.grandstand: 0.7093, Acc.path: 0.3399, Acc.stairs: 0.4459, Acc.runway: 0.9738, Acc.case: 0.5744, Acc.pool table: 0.9732, Acc.pillow: 0.7495, Acc.screen door: 0.4852, Acc.stairway: 0.4219, Acc.river: 0.2277, Acc.bridge: 0.8779, Acc.bookcase: 0.6163, Acc.blind: 0.5557, Acc.coffee table: 0.8192, Acc.toilet: 0.9285, Acc.flower: 0.5533, Acc.book: 0.7680, Acc.hill: 0.1547, Acc.bench: 0.5887, Acc.countertop: 0.7535, Acc.stove: 0.9025, Acc.palm: 0.7209, Acc.kitchen island: 0.8816, Acc.computer: 0.7601, Acc.swivel chair: 0.5439, Acc.boat: 0.8625, Acc.bar: 0.3980, Acc.arcade machine: 0.7992, Acc.hovel: 0.0806, Acc.bus: 0.9619, Acc.towel: 0.8002, Acc.light: 0.7461, Acc.truck: 0.5813, Acc.tower: 0.3384, Acc.chandelier: 0.8644, Acc.awning: 0.4911, Acc.streetlight: 0.5993, Acc.booth: 0.4030, Acc.television receiver: 0.8292, Acc.airplane: 0.7700, Acc.dirt track: 0.3846, Acc.apparel: 0.4589, Acc.pole: 0.5765, Acc.land: 0.0966, Acc.bannister: 0.2616, Acc.escalator: 0.2165, Acc.ottoman: 0.6084, Acc.bottle: 0.3541, Acc.buffet: 0.5493, Acc.poster: 0.2557, Acc.stage: 0.3230, Acc.van: 0.7196, Acc.ship: 0.1066, Acc.fountain: 0.2178, Acc.conveyer belt: 0.6756, Acc.canopy: 0.4067, Acc.washer: 0.7402, Acc.plaything: 0.6436, Acc.swimming pool: 0.6077, Acc.stool: 0.7238, Acc.barrel: 0.7666, Acc.basket: 0.5638, Acc.waterfall: 0.6094, Acc.tent: 0.9804, Acc.bag: 0.2757, Acc.minibike: 0.9210, Acc.cradle: 0.9742, Acc.oven: 0.6349, Acc.ball: 0.6015, Acc.food: 0.7653, Acc.step: 0.2820, Acc.tank: 0.6592, Acc.trade name: 0.2224, Acc.microwave: 0.4599, Acc.pot: 0.5751, Acc.animal: 0.6213, Acc.bicycle: 0.7832, Acc.lake: 0.0003, Acc.dishwasher: 0.8827, Acc.screen: 0.8861, Acc.blanket: 0.2585, Acc.sculpture: 0.8512, Acc.hood: 0.9313, Acc.sconce: 0.6382, Acc.vase: 0.6722, Acc.traffic light: 0.6161, Acc.tray: 0.3561, Acc.ashcan: 0.7039, Acc.fan: 0.8475, Acc.pier: 0.4663, Acc.crt screen: 0.0906, Acc.plate: 0.7737, Acc.monitor: 0.1454, Acc.bulletin board: 0.5608, Acc.shower: 0.2290, Acc.radiator: 0.8543, Acc.glass: 0.2251, Acc.clock: 0.4364, Acc.flag: 0.3709 2023-11-12 11:03:46,169 - mmseg - INFO - Iter [88050/160000] lr: 4.497e-05, eta: 10:03:25, time: 0.856, data_time: 0.390, memory: 41146, decode.loss_cls: 0.2266, decode.loss_mask: 0.4678, decode.loss_dice: 0.7073, decode.d0.loss_cls: 1.2019, decode.d0.loss_mask: 0.5038, decode.d0.loss_dice: 0.7709, decode.d1.loss_cls: 0.2919, decode.d1.loss_mask: 0.4825, decode.d1.loss_dice: 0.7533, decode.d2.loss_cls: 0.2568, decode.d2.loss_mask: 0.4739, decode.d2.loss_dice: 0.7279, decode.d3.loss_cls: 0.2461, decode.d3.loss_mask: 0.4672, decode.d3.loss_dice: 0.7158, decode.d4.loss_cls: 0.2346, decode.d4.loss_mask: 0.4684, decode.d4.loss_dice: 0.7172, decode.d5.loss_cls: 0.2323, decode.d5.loss_mask: 0.4700, decode.d5.loss_dice: 0.7120, decode.d6.loss_cls: 0.2291, decode.d6.loss_mask: 0.4681, decode.d6.loss_dice: 0.7070, decode.d7.loss_cls: 0.2258, decode.d7.loss_mask: 0.4671, decode.d7.loss_dice: 0.7106, decode.d8.loss_cls: 0.2232, decode.d8.loss_mask: 0.4685, decode.d8.loss_dice: 0.7146, loss: 15.3423, grad_norm: 47.5663 2023-11-12 11:04:10,020 - mmseg - INFO - Iter [88100/160000] lr: 4.494e-05, eta: 10:02:59, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2181, decode.loss_mask: 0.4549, decode.loss_dice: 0.7031, decode.d0.loss_cls: 1.2052, decode.d0.loss_mask: 0.4914, decode.d0.loss_dice: 0.7639, decode.d1.loss_cls: 0.2863, decode.d1.loss_mask: 0.4767, decode.d1.loss_dice: 0.7414, decode.d2.loss_cls: 0.2543, decode.d2.loss_mask: 0.4638, decode.d2.loss_dice: 0.7210, decode.d3.loss_cls: 0.2319, decode.d3.loss_mask: 0.4584, decode.d3.loss_dice: 0.7113, decode.d4.loss_cls: 0.2267, decode.d4.loss_mask: 0.4578, decode.d4.loss_dice: 0.7109, decode.d5.loss_cls: 0.2183, decode.d5.loss_mask: 0.4584, decode.d5.loss_dice: 0.7091, decode.d6.loss_cls: 0.2242, decode.d6.loss_mask: 0.4550, decode.d6.loss_dice: 0.7038, decode.d7.loss_cls: 0.2213, decode.d7.loss_mask: 0.4545, decode.d7.loss_dice: 0.7032, decode.d8.loss_cls: 0.2213, decode.d8.loss_mask: 0.4543, decode.d8.loss_dice: 0.6982, loss: 15.0989, grad_norm: 45.1976 2023-11-12 11:04:33,918 - mmseg - INFO - Iter [88150/160000] lr: 4.491e-05, eta: 10:02:32, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2047, decode.loss_mask: 0.4506, decode.loss_dice: 0.6860, decode.d0.loss_cls: 1.1770, decode.d0.loss_mask: 0.4845, decode.d0.loss_dice: 0.7452, decode.d1.loss_cls: 0.2675, decode.d1.loss_mask: 0.4631, decode.d1.loss_dice: 0.7192, decode.d2.loss_cls: 0.2313, decode.d2.loss_mask: 0.4588, decode.d2.loss_dice: 0.7065, decode.d3.loss_cls: 0.2207, decode.d3.loss_mask: 0.4534, decode.d3.loss_dice: 0.6906, decode.d4.loss_cls: 0.2116, decode.d4.loss_mask: 0.4522, decode.d4.loss_dice: 0.6900, decode.d5.loss_cls: 0.2070, decode.d5.loss_mask: 0.4501, decode.d5.loss_dice: 0.6925, decode.d6.loss_cls: 0.2103, decode.d6.loss_mask: 0.4518, decode.d6.loss_dice: 0.6806, decode.d7.loss_cls: 0.2080, decode.d7.loss_mask: 0.4509, decode.d7.loss_dice: 0.6871, decode.d8.loss_cls: 0.2015, decode.d8.loss_mask: 0.4506, decode.d8.loss_dice: 0.6867, loss: 14.6900, grad_norm: 43.9557 2023-11-12 11:04:57,585 - mmseg - INFO - Iter [88200/160000] lr: 4.488e-05, eta: 10:02:06, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2079, decode.loss_mask: 0.4587, decode.loss_dice: 0.6919, decode.d0.loss_cls: 1.1863, decode.d0.loss_mask: 0.4857, decode.d0.loss_dice: 0.7508, decode.d1.loss_cls: 0.2733, decode.d1.loss_mask: 0.4681, decode.d1.loss_dice: 0.7261, decode.d2.loss_cls: 0.2413, decode.d2.loss_mask: 0.4648, decode.d2.loss_dice: 0.7079, decode.d3.loss_cls: 0.2247, decode.d3.loss_mask: 0.4585, decode.d3.loss_dice: 0.6902, decode.d4.loss_cls: 0.2196, decode.d4.loss_mask: 0.4574, decode.d4.loss_dice: 0.6920, decode.d5.loss_cls: 0.2131, decode.d5.loss_mask: 0.4581, decode.d5.loss_dice: 0.6901, decode.d6.loss_cls: 0.2104, decode.d6.loss_mask: 0.4595, decode.d6.loss_dice: 0.6911, decode.d7.loss_cls: 0.2127, decode.d7.loss_mask: 0.4581, decode.d7.loss_dice: 0.6892, decode.d8.loss_cls: 0.2057, decode.d8.loss_mask: 0.4595, decode.d8.loss_dice: 0.6904, loss: 14.8433, grad_norm: 45.0883 2023-11-12 11:05:21,458 - mmseg - INFO - Iter [88250/160000] lr: 4.484e-05, eta: 10:01:40, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2237, decode.loss_mask: 0.4778, decode.loss_dice: 0.7009, decode.d0.loss_cls: 1.2210, decode.d0.loss_mask: 0.5156, decode.d0.loss_dice: 0.7695, decode.d1.loss_cls: 0.2925, decode.d1.loss_mask: 0.4926, decode.d1.loss_dice: 0.7445, decode.d2.loss_cls: 0.2569, decode.d2.loss_mask: 0.4844, decode.d2.loss_dice: 0.7116, decode.d3.loss_cls: 0.2463, decode.d3.loss_mask: 0.4813, decode.d3.loss_dice: 0.7096, decode.d4.loss_cls: 0.2410, decode.d4.loss_mask: 0.4814, decode.d4.loss_dice: 0.7049, decode.d5.loss_cls: 0.2323, decode.d5.loss_mask: 0.4810, decode.d5.loss_dice: 0.7111, decode.d6.loss_cls: 0.2272, decode.d6.loss_mask: 0.4801, decode.d6.loss_dice: 0.7046, decode.d7.loss_cls: 0.2266, decode.d7.loss_mask: 0.4796, decode.d7.loss_dice: 0.7029, decode.d8.loss_cls: 0.2256, decode.d8.loss_mask: 0.4798, decode.d8.loss_dice: 0.7050, loss: 15.4112, grad_norm: 52.2013 2023-11-12 11:05:45,226 - mmseg - INFO - Iter [88300/160000] lr: 4.481e-05, eta: 10:01:14, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2128, decode.loss_mask: 0.4765, decode.loss_dice: 0.7142, decode.d0.loss_cls: 1.1987, decode.d0.loss_mask: 0.5090, decode.d0.loss_dice: 0.7756, decode.d1.loss_cls: 0.2759, decode.d1.loss_mask: 0.4909, decode.d1.loss_dice: 0.7504, decode.d2.loss_cls: 0.2418, decode.d2.loss_mask: 0.4829, decode.d2.loss_dice: 0.7278, decode.d3.loss_cls: 0.2332, decode.d3.loss_mask: 0.4754, decode.d3.loss_dice: 0.7190, decode.d4.loss_cls: 0.2236, decode.d4.loss_mask: 0.4760, decode.d4.loss_dice: 0.7163, decode.d5.loss_cls: 0.2175, decode.d5.loss_mask: 0.4744, decode.d5.loss_dice: 0.7168, decode.d6.loss_cls: 0.2208, decode.d6.loss_mask: 0.4754, decode.d6.loss_dice: 0.7104, decode.d7.loss_cls: 0.2170, decode.d7.loss_mask: 0.4765, decode.d7.loss_dice: 0.7122, decode.d8.loss_cls: 0.2156, decode.d8.loss_mask: 0.4744, decode.d8.loss_dice: 0.7135, loss: 15.3247, grad_norm: 50.2764 2023-11-12 11:06:09,141 - mmseg - INFO - Iter [88350/160000] lr: 4.478e-05, eta: 10:00:47, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2154, decode.loss_mask: 0.4726, decode.loss_dice: 0.7191, decode.d0.loss_cls: 1.2232, decode.d0.loss_mask: 0.5093, decode.d0.loss_dice: 0.7709, decode.d1.loss_cls: 0.2898, decode.d1.loss_mask: 0.4923, decode.d1.loss_dice: 0.7527, decode.d2.loss_cls: 0.2444, decode.d2.loss_mask: 0.4822, decode.d2.loss_dice: 0.7433, decode.d3.loss_cls: 0.2333, decode.d3.loss_mask: 0.4764, decode.d3.loss_dice: 0.7245, decode.d4.loss_cls: 0.2253, decode.d4.loss_mask: 0.4754, decode.d4.loss_dice: 0.7194, decode.d5.loss_cls: 0.2211, decode.d5.loss_mask: 0.4759, decode.d5.loss_dice: 0.7222, decode.d6.loss_cls: 0.2128, decode.d6.loss_mask: 0.4731, decode.d6.loss_dice: 0.7179, decode.d7.loss_cls: 0.2153, decode.d7.loss_mask: 0.4746, decode.d7.loss_dice: 0.7172, decode.d8.loss_cls: 0.2086, decode.d8.loss_mask: 0.4734, decode.d8.loss_dice: 0.7173, loss: 15.3988, grad_norm: 46.8473 2023-11-12 11:06:33,095 - mmseg - INFO - Iter [88400/160000] lr: 4.475e-05, eta: 10:00:21, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2059, decode.loss_mask: 0.4758, decode.loss_dice: 0.6952, decode.d0.loss_cls: 1.1793, decode.d0.loss_mask: 0.5076, decode.d0.loss_dice: 0.7519, decode.d1.loss_cls: 0.2641, decode.d1.loss_mask: 0.4906, decode.d1.loss_dice: 0.7284, decode.d2.loss_cls: 0.2310, decode.d2.loss_mask: 0.4833, decode.d2.loss_dice: 0.7138, decode.d3.loss_cls: 0.2175, decode.d3.loss_mask: 0.4770, decode.d3.loss_dice: 0.6995, decode.d4.loss_cls: 0.2161, decode.d4.loss_mask: 0.4776, decode.d4.loss_dice: 0.7004, decode.d5.loss_cls: 0.2075, decode.d5.loss_mask: 0.4765, decode.d5.loss_dice: 0.6989, decode.d6.loss_cls: 0.2044, decode.d6.loss_mask: 0.4761, decode.d6.loss_dice: 0.6989, decode.d7.loss_cls: 0.2034, decode.d7.loss_mask: 0.4756, decode.d7.loss_dice: 0.6984, decode.d8.loss_cls: 0.2032, decode.d8.loss_mask: 0.4769, decode.d8.loss_dice: 0.6947, loss: 15.0298, grad_norm: 44.5248 2023-11-12 11:06:59,238 - mmseg - INFO - Iter [88450/160000] lr: 4.472e-05, eta: 9:59:57, time: 0.523, data_time: 0.057, memory: 41146, decode.loss_cls: 0.2020, decode.loss_mask: 0.4614, decode.loss_dice: 0.6902, decode.d0.loss_cls: 1.1668, decode.d0.loss_mask: 0.4934, decode.d0.loss_dice: 0.7528, decode.d1.loss_cls: 0.2696, decode.d1.loss_mask: 0.4793, decode.d1.loss_dice: 0.7187, decode.d2.loss_cls: 0.2292, decode.d2.loss_mask: 0.4705, decode.d2.loss_dice: 0.7049, decode.d3.loss_cls: 0.2205, decode.d3.loss_mask: 0.4655, decode.d3.loss_dice: 0.6922, decode.d4.loss_cls: 0.2124, decode.d4.loss_mask: 0.4627, decode.d4.loss_dice: 0.6909, decode.d5.loss_cls: 0.2110, decode.d5.loss_mask: 0.4636, decode.d5.loss_dice: 0.6900, decode.d6.loss_cls: 0.2052, decode.d6.loss_mask: 0.4646, decode.d6.loss_dice: 0.6888, decode.d7.loss_cls: 0.2056, decode.d7.loss_mask: 0.4636, decode.d7.loss_dice: 0.6912, decode.d8.loss_cls: 0.2030, decode.d8.loss_mask: 0.4634, decode.d8.loss_dice: 0.6865, loss: 14.8197, grad_norm: 46.4750 2023-11-12 11:07:23,167 - mmseg - INFO - Iter [88500/160000] lr: 4.469e-05, eta: 9:59:31, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2092, decode.loss_mask: 0.4681, decode.loss_dice: 0.7015, decode.d0.loss_cls: 1.2022, decode.d0.loss_mask: 0.5017, decode.d0.loss_dice: 0.7633, decode.d1.loss_cls: 0.2760, decode.d1.loss_mask: 0.4856, decode.d1.loss_dice: 0.7387, decode.d2.loss_cls: 0.2488, decode.d2.loss_mask: 0.4769, decode.d2.loss_dice: 0.7197, decode.d3.loss_cls: 0.2308, decode.d3.loss_mask: 0.4744, decode.d3.loss_dice: 0.7077, decode.d4.loss_cls: 0.2269, decode.d4.loss_mask: 0.4712, decode.d4.loss_dice: 0.7040, decode.d5.loss_cls: 0.2174, decode.d5.loss_mask: 0.4710, decode.d5.loss_dice: 0.7047, decode.d6.loss_cls: 0.2174, decode.d6.loss_mask: 0.4714, decode.d6.loss_dice: 0.7067, decode.d7.loss_cls: 0.2163, decode.d7.loss_mask: 0.4715, decode.d7.loss_dice: 0.7031, decode.d8.loss_cls: 0.2104, decode.d8.loss_mask: 0.4706, decode.d8.loss_dice: 0.7030, loss: 15.1702, grad_norm: 49.7957 2023-11-12 11:07:46,874 - mmseg - INFO - Iter [88550/160000] lr: 4.466e-05, eta: 9:59:04, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2150, decode.loss_mask: 0.4409, decode.loss_dice: 0.7092, decode.d0.loss_cls: 1.2080, decode.d0.loss_mask: 0.4761, decode.d0.loss_dice: 0.7758, decode.d1.loss_cls: 0.2902, decode.d1.loss_mask: 0.4574, decode.d1.loss_dice: 0.7484, decode.d2.loss_cls: 0.2528, decode.d2.loss_mask: 0.4486, decode.d2.loss_dice: 0.7270, decode.d3.loss_cls: 0.2353, decode.d3.loss_mask: 0.4451, decode.d3.loss_dice: 0.7160, decode.d4.loss_cls: 0.2301, decode.d4.loss_mask: 0.4425, decode.d4.loss_dice: 0.7132, decode.d5.loss_cls: 0.2207, decode.d5.loss_mask: 0.4425, decode.d5.loss_dice: 0.7161, decode.d6.loss_cls: 0.2222, decode.d6.loss_mask: 0.4419, decode.d6.loss_dice: 0.7055, decode.d7.loss_cls: 0.2150, decode.d7.loss_mask: 0.4406, decode.d7.loss_dice: 0.7057, decode.d8.loss_cls: 0.2152, decode.d8.loss_mask: 0.4404, decode.d8.loss_dice: 0.7108, loss: 15.0082, grad_norm: 44.7808 2023-11-12 11:08:10,694 - mmseg - INFO - Iter [88600/160000] lr: 4.463e-05, eta: 9:58:38, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1988, decode.loss_mask: 0.4558, decode.loss_dice: 0.7050, decode.d0.loss_cls: 1.1857, decode.d0.loss_mask: 0.4864, decode.d0.loss_dice: 0.7732, decode.d1.loss_cls: 0.2761, decode.d1.loss_mask: 0.4652, decode.d1.loss_dice: 0.7458, decode.d2.loss_cls: 0.2345, decode.d2.loss_mask: 0.4595, decode.d2.loss_dice: 0.7218, decode.d3.loss_cls: 0.2206, decode.d3.loss_mask: 0.4539, decode.d3.loss_dice: 0.7127, decode.d4.loss_cls: 0.2107, decode.d4.loss_mask: 0.4548, decode.d4.loss_dice: 0.7143, decode.d5.loss_cls: 0.2058, decode.d5.loss_mask: 0.4541, decode.d5.loss_dice: 0.7070, decode.d6.loss_cls: 0.2053, decode.d6.loss_mask: 0.4538, decode.d6.loss_dice: 0.7030, decode.d7.loss_cls: 0.2033, decode.d7.loss_mask: 0.4551, decode.d7.loss_dice: 0.7083, decode.d8.loss_cls: 0.2005, decode.d8.loss_mask: 0.4560, decode.d8.loss_dice: 0.7074, loss: 14.9344, grad_norm: 43.7626 2023-11-12 11:08:34,658 - mmseg - INFO - Iter [88650/160000] lr: 4.459e-05, eta: 9:58:12, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2181, decode.loss_mask: 0.4636, decode.loss_dice: 0.7053, decode.d0.loss_cls: 1.2138, decode.d0.loss_mask: 0.4958, decode.d0.loss_dice: 0.7730, decode.d1.loss_cls: 0.2897, decode.d1.loss_mask: 0.4763, decode.d1.loss_dice: 0.7428, decode.d2.loss_cls: 0.2532, decode.d2.loss_mask: 0.4699, decode.d2.loss_dice: 0.7220, decode.d3.loss_cls: 0.2351, decode.d3.loss_mask: 0.4665, decode.d3.loss_dice: 0.7074, decode.d4.loss_cls: 0.2280, decode.d4.loss_mask: 0.4661, decode.d4.loss_dice: 0.7073, decode.d5.loss_cls: 0.2199, decode.d5.loss_mask: 0.4648, decode.d5.loss_dice: 0.7103, decode.d6.loss_cls: 0.2245, decode.d6.loss_mask: 0.4642, decode.d6.loss_dice: 0.7068, decode.d7.loss_cls: 0.2208, decode.d7.loss_mask: 0.4651, decode.d7.loss_dice: 0.7099, decode.d8.loss_cls: 0.2186, decode.d8.loss_mask: 0.4629, decode.d8.loss_dice: 0.7121, loss: 15.2139, grad_norm: 47.7577 2023-11-12 11:08:58,349 - mmseg - INFO - Iter [88700/160000] lr: 4.456e-05, eta: 9:57:46, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2068, decode.loss_mask: 0.4765, decode.loss_dice: 0.6861, decode.d0.loss_cls: 1.1638, decode.d0.loss_mask: 0.5097, decode.d0.loss_dice: 0.7496, decode.d1.loss_cls: 0.2710, decode.d1.loss_mask: 0.4920, decode.d1.loss_dice: 0.7222, decode.d2.loss_cls: 0.2401, decode.d2.loss_mask: 0.4824, decode.d2.loss_dice: 0.7080, decode.d3.loss_cls: 0.2262, decode.d3.loss_mask: 0.4785, decode.d3.loss_dice: 0.6942, decode.d4.loss_cls: 0.2174, decode.d4.loss_mask: 0.4792, decode.d4.loss_dice: 0.6940, decode.d5.loss_cls: 0.2150, decode.d5.loss_mask: 0.4780, decode.d5.loss_dice: 0.6936, decode.d6.loss_cls: 0.2104, decode.d6.loss_mask: 0.4772, decode.d6.loss_dice: 0.6883, decode.d7.loss_cls: 0.2077, decode.d7.loss_mask: 0.4775, decode.d7.loss_dice: 0.6900, decode.d8.loss_cls: 0.2047, decode.d8.loss_mask: 0.4772, decode.d8.loss_dice: 0.6893, loss: 15.0067, grad_norm: 46.6855 2023-11-12 11:09:22,246 - mmseg - INFO - Iter [88750/160000] lr: 4.453e-05, eta: 9:57:20, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2101, decode.loss_mask: 0.4502, decode.loss_dice: 0.6917, decode.d0.loss_cls: 1.1786, decode.d0.loss_mask: 0.4824, decode.d0.loss_dice: 0.7540, decode.d1.loss_cls: 0.2800, decode.d1.loss_mask: 0.4627, decode.d1.loss_dice: 0.7320, decode.d2.loss_cls: 0.2498, decode.d2.loss_mask: 0.4536, decode.d2.loss_dice: 0.7105, decode.d3.loss_cls: 0.2347, decode.d3.loss_mask: 0.4496, decode.d3.loss_dice: 0.6997, decode.d4.loss_cls: 0.2241, decode.d4.loss_mask: 0.4516, decode.d4.loss_dice: 0.6995, decode.d5.loss_cls: 0.2203, decode.d5.loss_mask: 0.4501, decode.d5.loss_dice: 0.6997, decode.d6.loss_cls: 0.2137, decode.d6.loss_mask: 0.4497, decode.d6.loss_dice: 0.6928, decode.d7.loss_cls: 0.2158, decode.d7.loss_mask: 0.4494, decode.d7.loss_dice: 0.6940, decode.d8.loss_cls: 0.2086, decode.d8.loss_mask: 0.4498, decode.d8.loss_dice: 0.6972, loss: 14.8558, grad_norm: 43.1772 2023-11-12 11:09:45,935 - mmseg - INFO - Iter [88800/160000] lr: 4.450e-05, eta: 9:56:53, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2170, decode.loss_mask: 0.4830, decode.loss_dice: 0.6948, decode.d0.loss_cls: 1.1762, decode.d0.loss_mask: 0.5170, decode.d0.loss_dice: 0.7575, decode.d1.loss_cls: 0.2903, decode.d1.loss_mask: 0.4983, decode.d1.loss_dice: 0.7324, decode.d2.loss_cls: 0.2574, decode.d2.loss_mask: 0.4905, decode.d2.loss_dice: 0.7114, decode.d3.loss_cls: 0.2392, decode.d3.loss_mask: 0.4872, decode.d3.loss_dice: 0.6996, decode.d4.loss_cls: 0.2266, decode.d4.loss_mask: 0.4861, decode.d4.loss_dice: 0.7030, decode.d5.loss_cls: 0.2230, decode.d5.loss_mask: 0.4833, decode.d5.loss_dice: 0.6940, decode.d6.loss_cls: 0.2238, decode.d6.loss_mask: 0.4846, decode.d6.loss_dice: 0.6941, decode.d7.loss_cls: 0.2170, decode.d7.loss_mask: 0.4833, decode.d7.loss_dice: 0.6947, decode.d8.loss_cls: 0.2167, decode.d8.loss_mask: 0.4818, decode.d8.loss_dice: 0.6960, loss: 15.2597, grad_norm: 50.0074 2023-11-12 11:10:09,831 - mmseg - INFO - Iter [88850/160000] lr: 4.447e-05, eta: 9:56:27, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2075, decode.loss_mask: 0.4641, decode.loss_dice: 0.7119, decode.d0.loss_cls: 1.1968, decode.d0.loss_mask: 0.5012, decode.d0.loss_dice: 0.7728, decode.d1.loss_cls: 0.2857, decode.d1.loss_mask: 0.4754, decode.d1.loss_dice: 0.7415, decode.d2.loss_cls: 0.2496, decode.d2.loss_mask: 0.4693, decode.d2.loss_dice: 0.7270, decode.d3.loss_cls: 0.2311, decode.d3.loss_mask: 0.4666, decode.d3.loss_dice: 0.7195, decode.d4.loss_cls: 0.2179, decode.d4.loss_mask: 0.4666, decode.d4.loss_dice: 0.7180, decode.d5.loss_cls: 0.2167, decode.d5.loss_mask: 0.4660, decode.d5.loss_dice: 0.7131, decode.d6.loss_cls: 0.2125, decode.d6.loss_mask: 0.4665, decode.d6.loss_dice: 0.7160, decode.d7.loss_cls: 0.2119, decode.d7.loss_mask: 0.4669, decode.d7.loss_dice: 0.7133, decode.d8.loss_cls: 0.2124, decode.d8.loss_mask: 0.4650, decode.d8.loss_dice: 0.7152, loss: 15.1977, grad_norm: 47.4112 2023-11-12 11:10:33,719 - mmseg - INFO - Iter [88900/160000] lr: 4.444e-05, eta: 9:56:01, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2301, decode.loss_mask: 0.4651, decode.loss_dice: 0.7103, decode.d0.loss_cls: 1.2184, decode.d0.loss_mask: 0.4979, decode.d0.loss_dice: 0.7751, decode.d1.loss_cls: 0.3111, decode.d1.loss_mask: 0.4807, decode.d1.loss_dice: 0.7495, decode.d2.loss_cls: 0.2666, decode.d2.loss_mask: 0.4739, decode.d2.loss_dice: 0.7287, decode.d3.loss_cls: 0.2478, decode.d3.loss_mask: 0.4692, decode.d3.loss_dice: 0.7135, decode.d4.loss_cls: 0.2394, decode.d4.loss_mask: 0.4697, decode.d4.loss_dice: 0.7189, decode.d5.loss_cls: 0.2382, decode.d5.loss_mask: 0.4695, decode.d5.loss_dice: 0.7165, decode.d6.loss_cls: 0.2332, decode.d6.loss_mask: 0.4663, decode.d6.loss_dice: 0.7125, decode.d7.loss_cls: 0.2294, decode.d7.loss_mask: 0.4667, decode.d7.loss_dice: 0.7116, decode.d8.loss_cls: 0.2291, decode.d8.loss_mask: 0.4672, decode.d8.loss_dice: 0.7123, loss: 15.4182, grad_norm: 43.5703 2023-11-12 11:10:57,501 - mmseg - INFO - Iter [88950/160000] lr: 4.441e-05, eta: 9:55:35, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2120, decode.loss_mask: 0.4685, decode.loss_dice: 0.7043, decode.d0.loss_cls: 1.2301, decode.d0.loss_mask: 0.4999, decode.d0.loss_dice: 0.7659, decode.d1.loss_cls: 0.2825, decode.d1.loss_mask: 0.4838, decode.d1.loss_dice: 0.7444, decode.d2.loss_cls: 0.2454, decode.d2.loss_mask: 0.4756, decode.d2.loss_dice: 0.7229, decode.d3.loss_cls: 0.2359, decode.d3.loss_mask: 0.4719, decode.d3.loss_dice: 0.7108, decode.d4.loss_cls: 0.2227, decode.d4.loss_mask: 0.4700, decode.d4.loss_dice: 0.7140, decode.d5.loss_cls: 0.2168, decode.d5.loss_mask: 0.4703, decode.d5.loss_dice: 0.7100, decode.d6.loss_cls: 0.2121, decode.d6.loss_mask: 0.4688, decode.d6.loss_dice: 0.7060, decode.d7.loss_cls: 0.2106, decode.d7.loss_mask: 0.4697, decode.d7.loss_dice: 0.7064, decode.d8.loss_cls: 0.2146, decode.d8.loss_mask: 0.4675, decode.d8.loss_dice: 0.7070, loss: 15.2204, grad_norm: 43.9989 2023-11-12 11:11:21,350 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 11:11:21,350 - mmseg - INFO - Iter [89000/160000] lr: 4.438e-05, eta: 9:55:09, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2173, decode.loss_mask: 0.4787, decode.loss_dice: 0.7155, decode.d0.loss_cls: 1.2040, decode.d0.loss_mask: 0.5122, decode.d0.loss_dice: 0.7748, decode.d1.loss_cls: 0.2857, decode.d1.loss_mask: 0.4962, decode.d1.loss_dice: 0.7559, decode.d2.loss_cls: 0.2516, decode.d2.loss_mask: 0.4865, decode.d2.loss_dice: 0.7334, decode.d3.loss_cls: 0.2388, decode.d3.loss_mask: 0.4800, decode.d3.loss_dice: 0.7187, decode.d4.loss_cls: 0.2253, decode.d4.loss_mask: 0.4793, decode.d4.loss_dice: 0.7201, decode.d5.loss_cls: 0.2226, decode.d5.loss_mask: 0.4797, decode.d5.loss_dice: 0.7129, decode.d6.loss_cls: 0.2209, decode.d6.loss_mask: 0.4789, decode.d6.loss_dice: 0.7130, decode.d7.loss_cls: 0.2195, decode.d7.loss_mask: 0.4787, decode.d7.loss_dice: 0.7128, decode.d8.loss_cls: 0.2174, decode.d8.loss_mask: 0.4784, decode.d8.loss_dice: 0.7164, loss: 15.4252, grad_norm: 47.0494 2023-11-12 11:11:45,326 - mmseg - INFO - Iter [89050/160000] lr: 4.434e-05, eta: 9:54:42, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1987, decode.loss_mask: 0.4576, decode.loss_dice: 0.6894, decode.d0.loss_cls: 1.1829, decode.d0.loss_mask: 0.4880, decode.d0.loss_dice: 0.7462, decode.d1.loss_cls: 0.2740, decode.d1.loss_mask: 0.4673, decode.d1.loss_dice: 0.7171, decode.d2.loss_cls: 0.2368, decode.d2.loss_mask: 0.4627, decode.d2.loss_dice: 0.7059, decode.d3.loss_cls: 0.2211, decode.d3.loss_mask: 0.4587, decode.d3.loss_dice: 0.6966, decode.d4.loss_cls: 0.2129, decode.d4.loss_mask: 0.4577, decode.d4.loss_dice: 0.6979, decode.d5.loss_cls: 0.2028, decode.d5.loss_mask: 0.4557, decode.d5.loss_dice: 0.6972, decode.d6.loss_cls: 0.2034, decode.d6.loss_mask: 0.4566, decode.d6.loss_dice: 0.6923, decode.d7.loss_cls: 0.2013, decode.d7.loss_mask: 0.4571, decode.d7.loss_dice: 0.6885, decode.d8.loss_cls: 0.1993, decode.d8.loss_mask: 0.4567, decode.d8.loss_dice: 0.6935, loss: 14.7759, grad_norm: 44.5713 2023-11-12 11:12:09,455 - mmseg - INFO - Iter [89100/160000] lr: 4.431e-05, eta: 9:54:16, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2279, decode.loss_mask: 0.4710, decode.loss_dice: 0.7184, decode.d0.loss_cls: 1.2265, decode.d0.loss_mask: 0.5085, decode.d0.loss_dice: 0.7775, decode.d1.loss_cls: 0.3014, decode.d1.loss_mask: 0.4880, decode.d1.loss_dice: 0.7530, decode.d2.loss_cls: 0.2576, decode.d2.loss_mask: 0.4786, decode.d2.loss_dice: 0.7403, decode.d3.loss_cls: 0.2444, decode.d3.loss_mask: 0.4755, decode.d3.loss_dice: 0.7269, decode.d4.loss_cls: 0.2417, decode.d4.loss_mask: 0.4736, decode.d4.loss_dice: 0.7226, decode.d5.loss_cls: 0.2309, decode.d5.loss_mask: 0.4750, decode.d5.loss_dice: 0.7217, decode.d6.loss_cls: 0.2359, decode.d6.loss_mask: 0.4719, decode.d6.loss_dice: 0.7181, decode.d7.loss_cls: 0.2314, decode.d7.loss_mask: 0.4734, decode.d7.loss_dice: 0.7190, decode.d8.loss_cls: 0.2327, decode.d8.loss_mask: 0.4722, decode.d8.loss_dice: 0.7179, loss: 15.5334, grad_norm: 46.8954 2023-11-12 11:12:33,457 - mmseg - INFO - Iter [89150/160000] lr: 4.428e-05, eta: 9:53:50, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2131, decode.loss_mask: 0.4589, decode.loss_dice: 0.6807, decode.d0.loss_cls: 1.2179, decode.d0.loss_mask: 0.4903, decode.d0.loss_dice: 0.7371, decode.d1.loss_cls: 0.2799, decode.d1.loss_mask: 0.4746, decode.d1.loss_dice: 0.7116, decode.d2.loss_cls: 0.2499, decode.d2.loss_mask: 0.4633, decode.d2.loss_dice: 0.6911, decode.d3.loss_cls: 0.2347, decode.d3.loss_mask: 0.4591, decode.d3.loss_dice: 0.6844, decode.d4.loss_cls: 0.2213, decode.d4.loss_mask: 0.4588, decode.d4.loss_dice: 0.6827, decode.d5.loss_cls: 0.2220, decode.d5.loss_mask: 0.4595, decode.d5.loss_dice: 0.6814, decode.d6.loss_cls: 0.2247, decode.d6.loss_mask: 0.4575, decode.d6.loss_dice: 0.6745, decode.d7.loss_cls: 0.2170, decode.d7.loss_mask: 0.4586, decode.d7.loss_dice: 0.6781, decode.d8.loss_cls: 0.2181, decode.d8.loss_mask: 0.4589, decode.d8.loss_dice: 0.6793, loss: 14.8390, grad_norm: 46.7216 2023-11-12 11:12:57,295 - mmseg - INFO - Iter [89200/160000] lr: 4.425e-05, eta: 9:53:24, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2010, decode.loss_mask: 0.4665, decode.loss_dice: 0.7192, decode.d0.loss_cls: 1.1752, decode.d0.loss_mask: 0.4914, decode.d0.loss_dice: 0.7716, decode.d1.loss_cls: 0.2647, decode.d1.loss_mask: 0.4780, decode.d1.loss_dice: 0.7435, decode.d2.loss_cls: 0.2365, decode.d2.loss_mask: 0.4733, decode.d2.loss_dice: 0.7342, decode.d3.loss_cls: 0.2199, decode.d3.loss_mask: 0.4689, decode.d3.loss_dice: 0.7186, decode.d4.loss_cls: 0.2134, decode.d4.loss_mask: 0.4655, decode.d4.loss_dice: 0.7203, decode.d5.loss_cls: 0.2111, decode.d5.loss_mask: 0.4649, decode.d5.loss_dice: 0.7193, decode.d6.loss_cls: 0.2045, decode.d6.loss_mask: 0.4680, decode.d6.loss_dice: 0.7204, decode.d7.loss_cls: 0.2014, decode.d7.loss_mask: 0.4667, decode.d7.loss_dice: 0.7183, decode.d8.loss_cls: 0.2013, decode.d8.loss_mask: 0.4657, decode.d8.loss_dice: 0.7222, loss: 15.1255, grad_norm: 48.6191 2023-11-12 11:13:21,040 - mmseg - INFO - Iter [89250/160000] lr: 4.422e-05, eta: 9:52:58, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2044, decode.loss_mask: 0.4676, decode.loss_dice: 0.6916, decode.d0.loss_cls: 1.1690, decode.d0.loss_mask: 0.5026, decode.d0.loss_dice: 0.7519, decode.d1.loss_cls: 0.2689, decode.d1.loss_mask: 0.4809, decode.d1.loss_dice: 0.7269, decode.d2.loss_cls: 0.2301, decode.d2.loss_mask: 0.4772, decode.d2.loss_dice: 0.7103, decode.d3.loss_cls: 0.2180, decode.d3.loss_mask: 0.4696, decode.d3.loss_dice: 0.6981, decode.d4.loss_cls: 0.2142, decode.d4.loss_mask: 0.4704, decode.d4.loss_dice: 0.6993, decode.d5.loss_cls: 0.2115, decode.d5.loss_mask: 0.4683, decode.d5.loss_dice: 0.6988, decode.d6.loss_cls: 0.2104, decode.d6.loss_mask: 0.4681, decode.d6.loss_dice: 0.6907, decode.d7.loss_cls: 0.2099, decode.d7.loss_mask: 0.4671, decode.d7.loss_dice: 0.6928, decode.d8.loss_cls: 0.2027, decode.d8.loss_mask: 0.4690, decode.d8.loss_dice: 0.6923, loss: 14.9327, grad_norm: 48.1663 2023-11-12 11:13:44,664 - mmseg - INFO - Iter [89300/160000] lr: 4.419e-05, eta: 9:52:32, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2127, decode.loss_mask: 0.4570, decode.loss_dice: 0.6875, decode.d0.loss_cls: 1.1803, decode.d0.loss_mask: 0.4895, decode.d0.loss_dice: 0.7547, decode.d1.loss_cls: 0.2766, decode.d1.loss_mask: 0.4737, decode.d1.loss_dice: 0.7273, decode.d2.loss_cls: 0.2389, decode.d2.loss_mask: 0.4640, decode.d2.loss_dice: 0.7074, decode.d3.loss_cls: 0.2216, decode.d3.loss_mask: 0.4606, decode.d3.loss_dice: 0.6942, decode.d4.loss_cls: 0.2161, decode.d4.loss_mask: 0.4615, decode.d4.loss_dice: 0.6931, decode.d5.loss_cls: 0.2173, decode.d5.loss_mask: 0.4584, decode.d5.loss_dice: 0.6931, decode.d6.loss_cls: 0.2119, decode.d6.loss_mask: 0.4598, decode.d6.loss_dice: 0.6863, decode.d7.loss_cls: 0.2108, decode.d7.loss_mask: 0.4567, decode.d7.loss_dice: 0.6880, decode.d8.loss_cls: 0.2109, decode.d8.loss_mask: 0.4575, decode.d8.loss_dice: 0.6895, loss: 14.8568, grad_norm: 45.2816 2023-11-12 11:14:08,359 - mmseg - INFO - Iter [89350/160000] lr: 4.416e-05, eta: 9:52:05, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2231, decode.loss_mask: 0.4673, decode.loss_dice: 0.6999, decode.d0.loss_cls: 1.2002, decode.d0.loss_mask: 0.4965, decode.d0.loss_dice: 0.7698, decode.d1.loss_cls: 0.2886, decode.d1.loss_mask: 0.4785, decode.d1.loss_dice: 0.7415, decode.d2.loss_cls: 0.2557, decode.d2.loss_mask: 0.4692, decode.d2.loss_dice: 0.7208, decode.d3.loss_cls: 0.2371, decode.d3.loss_mask: 0.4695, decode.d3.loss_dice: 0.7066, decode.d4.loss_cls: 0.2298, decode.d4.loss_mask: 0.4697, decode.d4.loss_dice: 0.7058, decode.d5.loss_cls: 0.2257, decode.d5.loss_mask: 0.4680, decode.d5.loss_dice: 0.7054, decode.d6.loss_cls: 0.2208, decode.d6.loss_mask: 0.4676, decode.d6.loss_dice: 0.7025, decode.d7.loss_cls: 0.2209, decode.d7.loss_mask: 0.4668, decode.d7.loss_dice: 0.7036, decode.d8.loss_cls: 0.2204, decode.d8.loss_mask: 0.4675, decode.d8.loss_dice: 0.6992, loss: 15.1981, grad_norm: 48.4187 2023-11-12 11:14:32,240 - mmseg - INFO - Iter [89400/160000] lr: 4.413e-05, eta: 9:51:39, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2052, decode.loss_mask: 0.5011, decode.loss_dice: 0.7214, decode.d0.loss_cls: 1.1789, decode.d0.loss_mask: 0.5298, decode.d0.loss_dice: 0.7790, decode.d1.loss_cls: 0.2747, decode.d1.loss_mask: 0.5163, decode.d1.loss_dice: 0.7551, decode.d2.loss_cls: 0.2425, decode.d2.loss_mask: 0.5085, decode.d2.loss_dice: 0.7395, decode.d3.loss_cls: 0.2284, decode.d3.loss_mask: 0.5014, decode.d3.loss_dice: 0.7204, decode.d4.loss_cls: 0.2146, decode.d4.loss_mask: 0.5001, decode.d4.loss_dice: 0.7215, decode.d5.loss_cls: 0.2142, decode.d5.loss_mask: 0.5010, decode.d5.loss_dice: 0.7221, decode.d6.loss_cls: 0.2114, decode.d6.loss_mask: 0.5006, decode.d6.loss_dice: 0.7200, decode.d7.loss_cls: 0.2078, decode.d7.loss_mask: 0.5019, decode.d7.loss_dice: 0.7205, decode.d8.loss_cls: 0.2074, decode.d8.loss_mask: 0.5011, decode.d8.loss_dice: 0.7233, loss: 15.5699, grad_norm: 52.9624 2023-11-12 11:14:56,025 - mmseg - INFO - Iter [89450/160000] lr: 4.409e-05, eta: 9:51:13, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2237, decode.loss_mask: 0.4738, decode.loss_dice: 0.7216, decode.d0.loss_cls: 1.2587, decode.d0.loss_mask: 0.5022, decode.d0.loss_dice: 0.7776, decode.d1.loss_cls: 0.3003, decode.d1.loss_mask: 0.4881, decode.d1.loss_dice: 0.7526, decode.d2.loss_cls: 0.2646, decode.d2.loss_mask: 0.4788, decode.d2.loss_dice: 0.7363, decode.d3.loss_cls: 0.2482, decode.d3.loss_mask: 0.4731, decode.d3.loss_dice: 0.7244, decode.d4.loss_cls: 0.2426, decode.d4.loss_mask: 0.4731, decode.d4.loss_dice: 0.7219, decode.d5.loss_cls: 0.2317, decode.d5.loss_mask: 0.4737, decode.d5.loss_dice: 0.7229, decode.d6.loss_cls: 0.2308, decode.d6.loss_mask: 0.4732, decode.d6.loss_dice: 0.7178, decode.d7.loss_cls: 0.2253, decode.d7.loss_mask: 0.4725, decode.d7.loss_dice: 0.7199, decode.d8.loss_cls: 0.2253, decode.d8.loss_mask: 0.4732, decode.d8.loss_dice: 0.7190, loss: 15.5468, grad_norm: 48.8866 2023-11-12 11:15:20,040 - mmseg - INFO - Iter [89500/160000] lr: 4.406e-05, eta: 9:50:47, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2150, decode.loss_mask: 0.4589, decode.loss_dice: 0.7032, decode.d0.loss_cls: 1.2348, decode.d0.loss_mask: 0.4875, decode.d0.loss_dice: 0.7690, decode.d1.loss_cls: 0.3047, decode.d1.loss_mask: 0.4667, decode.d1.loss_dice: 0.7347, decode.d2.loss_cls: 0.2615, decode.d2.loss_mask: 0.4607, decode.d2.loss_dice: 0.7180, decode.d3.loss_cls: 0.2389, decode.d3.loss_mask: 0.4580, decode.d3.loss_dice: 0.7093, decode.d4.loss_cls: 0.2339, decode.d4.loss_mask: 0.4568, decode.d4.loss_dice: 0.7010, decode.d5.loss_cls: 0.2257, decode.d5.loss_mask: 0.4571, decode.d5.loss_dice: 0.7059, decode.d6.loss_cls: 0.2222, decode.d6.loss_mask: 0.4572, decode.d6.loss_dice: 0.6985, decode.d7.loss_cls: 0.2204, decode.d7.loss_mask: 0.4588, decode.d7.loss_dice: 0.7028, decode.d8.loss_cls: 0.2204, decode.d8.loss_mask: 0.4586, decode.d8.loss_dice: 0.6992, loss: 15.1396, grad_norm: 47.8100 2023-11-12 11:15:43,975 - mmseg - INFO - Iter [89550/160000] lr: 4.403e-05, eta: 9:50:21, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2252, decode.loss_mask: 0.4645, decode.loss_dice: 0.6946, decode.d0.loss_cls: 1.2156, decode.d0.loss_mask: 0.4954, decode.d0.loss_dice: 0.7597, decode.d1.loss_cls: 0.2912, decode.d1.loss_mask: 0.4809, decode.d1.loss_dice: 0.7282, decode.d2.loss_cls: 0.2547, decode.d2.loss_mask: 0.4699, decode.d2.loss_dice: 0.7093, decode.d3.loss_cls: 0.2423, decode.d3.loss_mask: 0.4676, decode.d3.loss_dice: 0.6971, decode.d4.loss_cls: 0.2298, decode.d4.loss_mask: 0.4681, decode.d4.loss_dice: 0.7003, decode.d5.loss_cls: 0.2326, decode.d5.loss_mask: 0.4665, decode.d5.loss_dice: 0.6982, decode.d6.loss_cls: 0.2253, decode.d6.loss_mask: 0.4647, decode.d6.loss_dice: 0.6954, decode.d7.loss_cls: 0.2278, decode.d7.loss_mask: 0.4643, decode.d7.loss_dice: 0.6938, decode.d8.loss_cls: 0.2255, decode.d8.loss_mask: 0.4655, decode.d8.loss_dice: 0.6988, loss: 15.1528, grad_norm: 47.3285 2023-11-12 11:16:07,777 - mmseg - INFO - Iter [89600/160000] lr: 4.400e-05, eta: 9:49:55, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2290, decode.loss_mask: 0.4757, decode.loss_dice: 0.7051, decode.d0.loss_cls: 1.2142, decode.d0.loss_mask: 0.5079, decode.d0.loss_dice: 0.7725, decode.d1.loss_cls: 0.2890, decode.d1.loss_mask: 0.4952, decode.d1.loss_dice: 0.7496, decode.d2.loss_cls: 0.2636, decode.d2.loss_mask: 0.4847, decode.d2.loss_dice: 0.7236, decode.d3.loss_cls: 0.2465, decode.d3.loss_mask: 0.4778, decode.d3.loss_dice: 0.7108, decode.d4.loss_cls: 0.2360, decode.d4.loss_mask: 0.4775, decode.d4.loss_dice: 0.7126, decode.d5.loss_cls: 0.2344, decode.d5.loss_mask: 0.4765, decode.d5.loss_dice: 0.7108, decode.d6.loss_cls: 0.2292, decode.d6.loss_mask: 0.4763, decode.d6.loss_dice: 0.7047, decode.d7.loss_cls: 0.2266, decode.d7.loss_mask: 0.4784, decode.d7.loss_dice: 0.7092, decode.d8.loss_cls: 0.2291, decode.d8.loss_mask: 0.4766, decode.d8.loss_dice: 0.7077, loss: 15.4308, grad_norm: 49.2941 2023-11-12 11:16:31,639 - mmseg - INFO - Iter [89650/160000] lr: 4.397e-05, eta: 9:49:29, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2177, decode.loss_mask: 0.4796, decode.loss_dice: 0.7026, decode.d0.loss_cls: 1.2213, decode.d0.loss_mask: 0.5144, decode.d0.loss_dice: 0.7657, decode.d1.loss_cls: 0.2847, decode.d1.loss_mask: 0.4919, decode.d1.loss_dice: 0.7315, decode.d2.loss_cls: 0.2485, decode.d2.loss_mask: 0.4843, decode.d2.loss_dice: 0.7155, decode.d3.loss_cls: 0.2383, decode.d3.loss_mask: 0.4789, decode.d3.loss_dice: 0.7053, decode.d4.loss_cls: 0.2262, decode.d4.loss_mask: 0.4794, decode.d4.loss_dice: 0.7065, decode.d5.loss_cls: 0.2226, decode.d5.loss_mask: 0.4779, decode.d5.loss_dice: 0.7075, decode.d6.loss_cls: 0.2213, decode.d6.loss_mask: 0.4786, decode.d6.loss_dice: 0.7021, decode.d7.loss_cls: 0.2191, decode.d7.loss_mask: 0.4771, decode.d7.loss_dice: 0.7063, decode.d8.loss_cls: 0.2180, decode.d8.loss_mask: 0.4788, decode.d8.loss_dice: 0.7041, loss: 15.3055, grad_norm: 52.0954 2023-11-12 11:16:57,803 - mmseg - INFO - Iter [89700/160000] lr: 4.394e-05, eta: 9:49:04, time: 0.523, data_time: 0.058, memory: 41146, decode.loss_cls: 0.2140, decode.loss_mask: 0.4607, decode.loss_dice: 0.6901, decode.d0.loss_cls: 1.1987, decode.d0.loss_mask: 0.4931, decode.d0.loss_dice: 0.7544, decode.d1.loss_cls: 0.2875, decode.d1.loss_mask: 0.4767, decode.d1.loss_dice: 0.7263, decode.d2.loss_cls: 0.2452, decode.d2.loss_mask: 0.4689, decode.d2.loss_dice: 0.7100, decode.d3.loss_cls: 0.2303, decode.d3.loss_mask: 0.4623, decode.d3.loss_dice: 0.6909, decode.d4.loss_cls: 0.2219, decode.d4.loss_mask: 0.4596, decode.d4.loss_dice: 0.6963, decode.d5.loss_cls: 0.2189, decode.d5.loss_mask: 0.4596, decode.d5.loss_dice: 0.6925, decode.d6.loss_cls: 0.2184, decode.d6.loss_mask: 0.4608, decode.d6.loss_dice: 0.6899, decode.d7.loss_cls: 0.2201, decode.d7.loss_mask: 0.4596, decode.d7.loss_dice: 0.6898, decode.d8.loss_cls: 0.2178, decode.d8.loss_mask: 0.4614, decode.d8.loss_dice: 0.6914, loss: 14.9669, grad_norm: 48.1657 2023-11-12 11:17:21,597 - mmseg - INFO - Iter [89750/160000] lr: 4.391e-05, eta: 9:48:38, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2087, decode.loss_mask: 0.4611, decode.loss_dice: 0.6911, decode.d0.loss_cls: 1.1919, decode.d0.loss_mask: 0.4912, decode.d0.loss_dice: 0.7610, decode.d1.loss_cls: 0.2805, decode.d1.loss_mask: 0.4713, decode.d1.loss_dice: 0.7336, decode.d2.loss_cls: 0.2439, decode.d2.loss_mask: 0.4665, decode.d2.loss_dice: 0.7105, decode.d3.loss_cls: 0.2267, decode.d3.loss_mask: 0.4633, decode.d3.loss_dice: 0.6972, decode.d4.loss_cls: 0.2162, decode.d4.loss_mask: 0.4622, decode.d4.loss_dice: 0.6953, decode.d5.loss_cls: 0.2129, decode.d5.loss_mask: 0.4620, decode.d5.loss_dice: 0.6970, decode.d6.loss_cls: 0.2120, decode.d6.loss_mask: 0.4608, decode.d6.loss_dice: 0.6939, decode.d7.loss_cls: 0.2077, decode.d7.loss_mask: 0.4623, decode.d7.loss_dice: 0.6961, decode.d8.loss_cls: 0.2071, decode.d8.loss_mask: 0.4620, decode.d8.loss_dice: 0.6943, loss: 14.9400, grad_norm: 47.0354 2023-11-12 11:17:45,422 - mmseg - INFO - Iter [89800/160000] lr: 4.388e-05, eta: 9:48:12, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2075, decode.loss_mask: 0.4620, decode.loss_dice: 0.7106, decode.d0.loss_cls: 1.1806, decode.d0.loss_mask: 0.4953, decode.d0.loss_dice: 0.7742, decode.d1.loss_cls: 0.2750, decode.d1.loss_mask: 0.4736, decode.d1.loss_dice: 0.7399, decode.d2.loss_cls: 0.2466, decode.d2.loss_mask: 0.4681, decode.d2.loss_dice: 0.7213, decode.d3.loss_cls: 0.2331, decode.d3.loss_mask: 0.4646, decode.d3.loss_dice: 0.7116, decode.d4.loss_cls: 0.2257, decode.d4.loss_mask: 0.4630, decode.d4.loss_dice: 0.7103, decode.d5.loss_cls: 0.2158, decode.d5.loss_mask: 0.4642, decode.d5.loss_dice: 0.7155, decode.d6.loss_cls: 0.2162, decode.d6.loss_mask: 0.4622, decode.d6.loss_dice: 0.7100, decode.d7.loss_cls: 0.2136, decode.d7.loss_mask: 0.4615, decode.d7.loss_dice: 0.7080, decode.d8.loss_cls: 0.2104, decode.d8.loss_mask: 0.4618, decode.d8.loss_dice: 0.7049, loss: 15.1071, grad_norm: 50.5188 2023-11-12 11:18:09,200 - mmseg - INFO - Iter [89850/160000] lr: 4.384e-05, eta: 9:47:46, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2152, decode.loss_mask: 0.4835, decode.loss_dice: 0.7136, decode.d0.loss_cls: 1.2004, decode.d0.loss_mask: 0.5213, decode.d0.loss_dice: 0.7819, decode.d1.loss_cls: 0.2831, decode.d1.loss_mask: 0.5069, decode.d1.loss_dice: 0.7473, decode.d2.loss_cls: 0.2487, decode.d2.loss_mask: 0.4920, decode.d2.loss_dice: 0.7317, decode.d3.loss_cls: 0.2288, decode.d3.loss_mask: 0.4853, decode.d3.loss_dice: 0.7146, decode.d4.loss_cls: 0.2192, decode.d4.loss_mask: 0.4846, decode.d4.loss_dice: 0.7171, decode.d5.loss_cls: 0.2156, decode.d5.loss_mask: 0.4840, decode.d5.loss_dice: 0.7152, decode.d6.loss_cls: 0.2212, decode.d6.loss_mask: 0.4842, decode.d6.loss_dice: 0.7095, decode.d7.loss_cls: 0.2160, decode.d7.loss_mask: 0.4835, decode.d7.loss_dice: 0.7105, decode.d8.loss_cls: 0.2111, decode.d8.loss_mask: 0.4859, decode.d8.loss_dice: 0.7124, loss: 15.4243, grad_norm: 50.6600 2023-11-12 11:18:33,344 - mmseg - INFO - Iter [89900/160000] lr: 4.381e-05, eta: 9:47:20, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1989, decode.loss_mask: 0.4704, decode.loss_dice: 0.7040, decode.d0.loss_cls: 1.2080, decode.d0.loss_mask: 0.5049, decode.d0.loss_dice: 0.7654, decode.d1.loss_cls: 0.2715, decode.d1.loss_mask: 0.4887, decode.d1.loss_dice: 0.7312, decode.d2.loss_cls: 0.2359, decode.d2.loss_mask: 0.4802, decode.d2.loss_dice: 0.7171, decode.d3.loss_cls: 0.2225, decode.d3.loss_mask: 0.4734, decode.d3.loss_dice: 0.7016, decode.d4.loss_cls: 0.2116, decode.d4.loss_mask: 0.4719, decode.d4.loss_dice: 0.7023, decode.d5.loss_cls: 0.2113, decode.d5.loss_mask: 0.4700, decode.d5.loss_dice: 0.7016, decode.d6.loss_cls: 0.2086, decode.d6.loss_mask: 0.4695, decode.d6.loss_dice: 0.6987, decode.d7.loss_cls: 0.2017, decode.d7.loss_mask: 0.4691, decode.d7.loss_dice: 0.6981, decode.d8.loss_cls: 0.2063, decode.d8.loss_mask: 0.4682, decode.d8.loss_dice: 0.7004, loss: 15.0626, grad_norm: 49.9822 2023-11-12 11:18:57,261 - mmseg - INFO - Iter [89950/160000] lr: 4.378e-05, eta: 9:46:54, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1955, decode.loss_mask: 0.4513, decode.loss_dice: 0.7068, decode.d0.loss_cls: 1.2088, decode.d0.loss_mask: 0.4853, decode.d0.loss_dice: 0.7722, decode.d1.loss_cls: 0.2738, decode.d1.loss_mask: 0.4687, decode.d1.loss_dice: 0.7497, decode.d2.loss_cls: 0.2375, decode.d2.loss_mask: 0.4577, decode.d2.loss_dice: 0.7287, decode.d3.loss_cls: 0.2192, decode.d3.loss_mask: 0.4544, decode.d3.loss_dice: 0.7161, decode.d4.loss_cls: 0.2127, decode.d4.loss_mask: 0.4539, decode.d4.loss_dice: 0.7151, decode.d5.loss_cls: 0.2077, decode.d5.loss_mask: 0.4541, decode.d5.loss_dice: 0.7154, decode.d6.loss_cls: 0.2025, decode.d6.loss_mask: 0.4525, decode.d6.loss_dice: 0.7086, decode.d7.loss_cls: 0.2017, decode.d7.loss_mask: 0.4510, decode.d7.loss_dice: 0.7054, decode.d8.loss_cls: 0.1998, decode.d8.loss_mask: 0.4516, decode.d8.loss_dice: 0.7070, loss: 14.9644, grad_norm: 45.9095 2023-11-12 11:19:20,938 - mmseg - INFO - Saving checkpoint at 90000 iterations 2023-11-12 11:19:24,786 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 11:19:24,787 - mmseg - INFO - Iter [90000/160000] lr: 4.375e-05, eta: 9:46:30, time: 0.551, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1930, decode.loss_mask: 0.4747, decode.loss_dice: 0.6951, decode.d0.loss_cls: 1.1723, decode.d0.loss_mask: 0.5145, decode.d0.loss_dice: 0.7529, decode.d1.loss_cls: 0.2617, decode.d1.loss_mask: 0.4931, decode.d1.loss_dice: 0.7299, decode.d2.loss_cls: 0.2260, decode.d2.loss_mask: 0.4814, decode.d2.loss_dice: 0.7112, decode.d3.loss_cls: 0.2086, decode.d3.loss_mask: 0.4773, decode.d3.loss_dice: 0.6988, decode.d4.loss_cls: 0.2056, decode.d4.loss_mask: 0.4758, decode.d4.loss_dice: 0.6988, decode.d5.loss_cls: 0.2045, decode.d5.loss_mask: 0.4765, decode.d5.loss_dice: 0.6975, decode.d6.loss_cls: 0.2027, decode.d6.loss_mask: 0.4765, decode.d6.loss_dice: 0.6904, decode.d7.loss_cls: 0.1995, decode.d7.loss_mask: 0.4747, decode.d7.loss_dice: 0.6916, decode.d8.loss_cls: 0.1949, decode.d8.loss_mask: 0.4745, decode.d8.loss_dice: 0.6924, loss: 14.9464, grad_norm: 51.1527 2023-11-12 11:19:43,900 - mmseg - INFO - per class results: 2023-11-12 11:19:43,905 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.46 | 88.25 | | building | 82.49 | 91.24 | | sky | 94.99 | 97.1 | | floor | 83.36 | 91.55 | | tree | 75.44 | 87.21 | | ceiling | 85.35 | 91.03 | | road | 85.42 | 91.27 | | bed | 90.19 | 95.86 | | windowpane | 63.04 | 80.35 | | grass | 67.71 | 80.14 | | cabinet | 63.4 | 76.5 | | sidewalk | 67.94 | 80.9 | | person | 85.12 | 92.84 | | earth | 35.2 | 47.12 | | door | 51.68 | 69.39 | | table | 65.39 | 77.04 | | mountain | 64.24 | 75.11 | | plant | 52.74 | 71.83 | | curtain | 77.8 | 86.87 | | chair | 61.98 | 72.69 | | car | 85.27 | 91.73 | | water | 64.5 | 82.84 | | painting | 75.14 | 89.86 | | sofa | 69.5 | 83.52 | | shelf | 43.17 | 63.27 | | house | 38.18 | 54.65 | | sea | 80.99 | 90.09 | | mirror | 71.12 | 82.48 | | rug | 65.25 | 75.57 | | field | 28.65 | 49.53 | | armchair | 42.84 | 66.97 | | seat | 63.69 | 82.07 | | fence | 49.16 | 67.17 | | desk | 46.8 | 70.04 | | rock | 53.23 | 78.73 | | wardrobe | 49.82 | 73.05 | | lamp | 69.49 | 81.9 | | bathtub | 77.17 | 91.2 | | railing | 36.84 | 57.77 | | cushion | 63.91 | 73.71 | | base | 33.57 | 59.44 | | box | 29.27 | 42.57 | | column | 47.82 | 63.05 | | signboard | 36.9 | 54.9 | | chest of drawers | 41.24 | 66.25 | | counter | 27.5 | 36.99 | | sand | 45.55 | 55.57 | | sink | 75.1 | 81.2 | | skyscraper | 35.68 | 45.51 | | fireplace | 76.58 | 87.64 | | refrigerator | 83.32 | 91.51 | | grandstand | 48.09 | 69.66 | | path | 31.1 | 46.63 | | stairs | 31.34 | 41.23 | | runway | 66.7 | 87.84 | | case | 62.88 | 78.97 | | pool table | 94.53 | 97.51 | | pillow | 58.79 | 74.44 | | screen door | 58.48 | 67.12 | | stairway | 33.93 | 48.55 | | river | 13.31 | 22.11 | | bridge | 60.71 | 72.28 | | bookcase | 41.8 | 64.42 | | blind | 47.25 | 57.45 | | coffee table | 65.63 | 84.89 | | toilet | 86.01 | 91.56 | | flower | 47.0 | 63.48 | | book | 51.66 | 73.04 | | hill | 6.38 | 13.42 | | bench | 57.73 | 68.9 | | countertop | 47.57 | 70.44 | | stove | 81.05 | 85.33 | | palm | 53.91 | 69.41 | | kitchen island | 43.84 | 88.9 | | computer | 72.26 | 79.07 | | swivel chair | 41.97 | 58.2 | | boat | 46.38 | 55.86 | | bar | 35.43 | 48.17 | | arcade machine | 88.67 | 96.59 | | hovel | 29.77 | 41.49 | | bus | 93.82 | 97.01 | | towel | 69.4 | 80.38 | | light | 62.49 | 77.92 | | truck | 31.86 | 59.77 | | tower | 29.12 | 48.26 | | chandelier | 71.17 | 88.33 | | awning | 35.77 | 45.34 | | streetlight | 45.25 | 63.1 | | booth | 29.06 | 38.55 | | television receiver | 69.33 | 79.31 | | airplane | 61.98 | 66.36 | | dirt track | 8.1 | 39.14 | | apparel | 31.73 | 52.59 | | pole | 32.73 | 53.96 | | land | 3.77 | 8.28 | | bannister | 18.18 | 24.95 | | escalator | 18.2 | 22.37 | | ottoman | 56.22 | 73.34 | | bottle | 30.31 | 37.67 | | buffet | 42.98 | 52.15 | | poster | 30.98 | 49.57 | | stage | 18.74 | 28.13 | | van | 48.9 | 71.96 | | ship | 5.89 | 10.68 | | fountain | 17.33 | 21.9 | | conveyer belt | 51.38 | 67.38 | | canopy | 21.37 | 30.83 | | washer | 71.29 | 73.35 | | plaything | 45.86 | 61.9 | | swimming pool | 63.17 | 65.64 | | stool | 42.75 | 78.04 | | barrel | 45.73 | 98.49 | | basket | 42.64 | 57.06 | | waterfall | 42.49 | 60.61 | | tent | 95.45 | 98.23 | | bag | 20.5 | 26.85 | | minibike | 74.51 | 89.67 | | cradle | 70.4 | 97.73 | | oven | 24.16 | 67.22 | | ball | 24.66 | 29.19 | | food | 57.62 | 70.94 | | step | 19.48 | 26.38 | | tank | 56.24 | 65.65 | | trade name | 27.22 | 33.83 | | microwave | 41.6 | 45.81 | | pot | 50.73 | 63.42 | | animal | 55.95 | 57.24 | | bicycle | 60.33 | 79.45 | | lake | 58.84 | 66.35 | | dishwasher | 78.66 | 85.41 | | screen | 57.29 | 88.05 | | blanket | 16.38 | 18.81 | | sculpture | 57.98 | 87.7 | | hood | 78.44 | 92.26 | | sconce | 56.9 | 68.33 | | vase | 50.33 | 66.73 | | traffic light | 40.68 | 70.33 | | tray | 16.04 | 26.82 | | ashcan | 49.94 | 71.2 | | fan | 69.87 | 84.06 | | pier | 14.91 | 17.63 | | crt screen | 2.26 | 6.3 | | plate | 58.94 | 72.73 | | monitor | 10.11 | 14.04 | | bulletin board | 39.21 | 59.5 | | shower | 12.14 | 27.46 | | radiator | 74.73 | 91.55 | | glass | 20.15 | 22.76 | | clock | 54.64 | 70.19 | | flag | 45.45 | 50.58 | +---------------------+-------+-------+ 2023-11-12 11:19:43,905 - mmseg - INFO - Summary: 2023-11-12 11:19:43,905 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.95 | 51.18 | 64.98 | +-------+-------+-------+ 2023-11-12 11:19:43,906 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 11:19:43,906 - mmseg - INFO - Iter(val) [250] aAcc: 0.8395, mIoU: 0.5118, mAcc: 0.6498, IoU.wall: 0.7946, IoU.building: 0.8249, IoU.sky: 0.9499, IoU.floor: 0.8336, IoU.tree: 0.7544, IoU.ceiling: 0.8535, IoU.road: 0.8542, IoU.bed : 0.9019, IoU.windowpane: 0.6304, IoU.grass: 0.6771, IoU.cabinet: 0.6340, IoU.sidewalk: 0.6794, IoU.person: 0.8512, IoU.earth: 0.3520, IoU.door: 0.5168, IoU.table: 0.6539, IoU.mountain: 0.6424, IoU.plant: 0.5274, IoU.curtain: 0.7780, IoU.chair: 0.6198, IoU.car: 0.8527, IoU.water: 0.6450, IoU.painting: 0.7514, IoU.sofa: 0.6950, IoU.shelf: 0.4317, IoU.house: 0.3818, IoU.sea: 0.8099, IoU.mirror: 0.7112, IoU.rug: 0.6525, IoU.field: 0.2865, IoU.armchair: 0.4284, IoU.seat: 0.6369, IoU.fence: 0.4916, IoU.desk: 0.4680, IoU.rock: 0.5323, IoU.wardrobe: 0.4982, IoU.lamp: 0.6949, IoU.bathtub: 0.7717, IoU.railing: 0.3684, IoU.cushion: 0.6391, IoU.base: 0.3357, IoU.box: 0.2927, IoU.column: 0.4782, IoU.signboard: 0.3690, IoU.chest of drawers: 0.4124, IoU.counter: 0.2750, IoU.sand: 0.4555, IoU.sink: 0.7510, IoU.skyscraper: 0.3568, IoU.fireplace: 0.7658, IoU.refrigerator: 0.8332, IoU.grandstand: 0.4809, IoU.path: 0.3110, IoU.stairs: 0.3134, IoU.runway: 0.6670, IoU.case: 0.6288, IoU.pool table: 0.9453, IoU.pillow: 0.5879, IoU.screen door: 0.5848, IoU.stairway: 0.3393, IoU.river: 0.1331, IoU.bridge: 0.6071, IoU.bookcase: 0.4180, IoU.blind: 0.4725, IoU.coffee table: 0.6563, IoU.toilet: 0.8601, IoU.flower: 0.4700, IoU.book: 0.5166, IoU.hill: 0.0638, IoU.bench: 0.5773, IoU.countertop: 0.4757, IoU.stove: 0.8105, IoU.palm: 0.5391, IoU.kitchen island: 0.4384, IoU.computer: 0.7226, IoU.swivel chair: 0.4197, IoU.boat: 0.4638, IoU.bar: 0.3543, IoU.arcade machine: 0.8867, IoU.hovel: 0.2977, IoU.bus: 0.9382, IoU.towel: 0.6940, IoU.light: 0.6249, IoU.truck: 0.3186, IoU.tower: 0.2912, IoU.chandelier: 0.7117, IoU.awning: 0.3577, IoU.streetlight: 0.4525, IoU.booth: 0.2906, IoU.television receiver: 0.6933, IoU.airplane: 0.6198, IoU.dirt track: 0.0810, IoU.apparel: 0.3173, IoU.pole: 0.3273, IoU.land: 0.0377, IoU.bannister: 0.1818, IoU.escalator: 0.1820, IoU.ottoman: 0.5622, IoU.bottle: 0.3031, IoU.buffet: 0.4298, IoU.poster: 0.3098, IoU.stage: 0.1874, IoU.van: 0.4890, IoU.ship: 0.0589, IoU.fountain: 0.1733, IoU.conveyer belt: 0.5138, IoU.canopy: 0.2137, IoU.washer: 0.7129, IoU.plaything: 0.4586, IoU.swimming pool: 0.6317, IoU.stool: 0.4275, IoU.barrel: 0.4573, IoU.basket: 0.4264, IoU.waterfall: 0.4249, IoU.tent: 0.9545, IoU.bag: 0.2050, IoU.minibike: 0.7451, IoU.cradle: 0.7040, IoU.oven: 0.2416, IoU.ball: 0.2466, IoU.food: 0.5762, IoU.step: 0.1948, IoU.tank: 0.5624, IoU.trade name: 0.2722, IoU.microwave: 0.4160, IoU.pot: 0.5073, IoU.animal: 0.5595, IoU.bicycle: 0.6033, IoU.lake: 0.5884, IoU.dishwasher: 0.7866, IoU.screen: 0.5729, IoU.blanket: 0.1638, IoU.sculpture: 0.5798, IoU.hood: 0.7844, IoU.sconce: 0.5690, IoU.vase: 0.5033, IoU.traffic light: 0.4068, IoU.tray: 0.1604, IoU.ashcan: 0.4994, IoU.fan: 0.6987, IoU.pier: 0.1491, IoU.crt screen: 0.0226, IoU.plate: 0.5894, IoU.monitor: 0.1011, IoU.bulletin board: 0.3921, IoU.shower: 0.1214, IoU.radiator: 0.7473, IoU.glass: 0.2015, IoU.clock: 0.5464, IoU.flag: 0.4545, Acc.wall: 0.8825, Acc.building: 0.9124, Acc.sky: 0.9710, Acc.floor: 0.9155, Acc.tree: 0.8721, Acc.ceiling: 0.9103, Acc.road: 0.9127, Acc.bed : 0.9586, Acc.windowpane: 0.8035, Acc.grass: 0.8014, Acc.cabinet: 0.7650, Acc.sidewalk: 0.8090, Acc.person: 0.9284, Acc.earth: 0.4712, Acc.door: 0.6939, Acc.table: 0.7704, Acc.mountain: 0.7511, Acc.plant: 0.7183, Acc.curtain: 0.8687, Acc.chair: 0.7269, Acc.car: 0.9173, Acc.water: 0.8284, Acc.painting: 0.8986, Acc.sofa: 0.8352, Acc.shelf: 0.6327, Acc.house: 0.5465, Acc.sea: 0.9009, Acc.mirror: 0.8248, Acc.rug: 0.7557, Acc.field: 0.4953, Acc.armchair: 0.6697, Acc.seat: 0.8207, Acc.fence: 0.6717, Acc.desk: 0.7004, Acc.rock: 0.7873, Acc.wardrobe: 0.7305, Acc.lamp: 0.8190, Acc.bathtub: 0.9120, Acc.railing: 0.5777, Acc.cushion: 0.7371, Acc.base: 0.5944, Acc.box: 0.4257, Acc.column: 0.6305, Acc.signboard: 0.5490, Acc.chest of drawers: 0.6625, Acc.counter: 0.3699, Acc.sand: 0.5557, Acc.sink: 0.8120, Acc.skyscraper: 0.4551, Acc.fireplace: 0.8764, Acc.refrigerator: 0.9151, Acc.grandstand: 0.6966, Acc.path: 0.4663, Acc.stairs: 0.4123, Acc.runway: 0.8784, Acc.case: 0.7897, Acc.pool table: 0.9751, Acc.pillow: 0.7444, Acc.screen door: 0.6712, Acc.stairway: 0.4855, Acc.river: 0.2211, Acc.bridge: 0.7228, Acc.bookcase: 0.6442, Acc.blind: 0.5745, Acc.coffee table: 0.8489, Acc.toilet: 0.9156, Acc.flower: 0.6348, Acc.book: 0.7304, Acc.hill: 0.1342, Acc.bench: 0.6890, Acc.countertop: 0.7044, Acc.stove: 0.8533, Acc.palm: 0.6941, Acc.kitchen island: 0.8890, Acc.computer: 0.7907, Acc.swivel chair: 0.5820, Acc.boat: 0.5586, Acc.bar: 0.4817, Acc.arcade machine: 0.9659, Acc.hovel: 0.4149, Acc.bus: 0.9701, Acc.towel: 0.8038, Acc.light: 0.7792, Acc.truck: 0.5977, Acc.tower: 0.4826, Acc.chandelier: 0.8833, Acc.awning: 0.4534, Acc.streetlight: 0.6310, Acc.booth: 0.3855, Acc.television receiver: 0.7931, Acc.airplane: 0.6636, Acc.dirt track: 0.3914, Acc.apparel: 0.5259, Acc.pole: 0.5396, Acc.land: 0.0828, Acc.bannister: 0.2495, Acc.escalator: 0.2237, Acc.ottoman: 0.7334, Acc.bottle: 0.3767, Acc.buffet: 0.5215, Acc.poster: 0.4957, Acc.stage: 0.2813, Acc.van: 0.7196, Acc.ship: 0.1068, Acc.fountain: 0.2190, Acc.conveyer belt: 0.6738, Acc.canopy: 0.3083, Acc.washer: 0.7335, Acc.plaything: 0.6190, Acc.swimming pool: 0.6564, Acc.stool: 0.7804, Acc.barrel: 0.9849, Acc.basket: 0.5706, Acc.waterfall: 0.6061, Acc.tent: 0.9823, Acc.bag: 0.2685, Acc.minibike: 0.8967, Acc.cradle: 0.9773, Acc.oven: 0.6722, Acc.ball: 0.2919, Acc.food: 0.7094, Acc.step: 0.2638, Acc.tank: 0.6565, Acc.trade name: 0.3383, Acc.microwave: 0.4581, Acc.pot: 0.6342, Acc.animal: 0.5724, Acc.bicycle: 0.7945, Acc.lake: 0.6635, Acc.dishwasher: 0.8541, Acc.screen: 0.8805, Acc.blanket: 0.1881, Acc.sculpture: 0.8770, Acc.hood: 0.9226, Acc.sconce: 0.6833, Acc.vase: 0.6673, Acc.traffic light: 0.7033, Acc.tray: 0.2682, Acc.ashcan: 0.7120, Acc.fan: 0.8406, Acc.pier: 0.1763, Acc.crt screen: 0.0630, Acc.plate: 0.7273, Acc.monitor: 0.1404, Acc.bulletin board: 0.5950, Acc.shower: 0.2746, Acc.radiator: 0.9155, Acc.glass: 0.2276, Acc.clock: 0.7019, Acc.flag: 0.5058 2023-11-12 11:20:07,914 - mmseg - INFO - Iter [90050/160000] lr: 4.372e-05, eta: 9:46:19, time: 0.862, data_time: 0.396, memory: 41146, decode.loss_cls: 0.2208, decode.loss_mask: 0.4520, decode.loss_dice: 0.6894, decode.d0.loss_cls: 1.1769, decode.d0.loss_mask: 0.4875, decode.d0.loss_dice: 0.7554, decode.d1.loss_cls: 0.2889, decode.d1.loss_mask: 0.4661, decode.d1.loss_dice: 0.7280, decode.d2.loss_cls: 0.2525, decode.d2.loss_mask: 0.4582, decode.d2.loss_dice: 0.7096, decode.d3.loss_cls: 0.2359, decode.d3.loss_mask: 0.4526, decode.d3.loss_dice: 0.6978, decode.d4.loss_cls: 0.2281, decode.d4.loss_mask: 0.4531, decode.d4.loss_dice: 0.6897, decode.d5.loss_cls: 0.2259, decode.d5.loss_mask: 0.4532, decode.d5.loss_dice: 0.6927, decode.d6.loss_cls: 0.2231, decode.d6.loss_mask: 0.4520, decode.d6.loss_dice: 0.6876, decode.d7.loss_cls: 0.2230, decode.d7.loss_mask: 0.4516, decode.d7.loss_dice: 0.6882, decode.d8.loss_cls: 0.2184, decode.d8.loss_mask: 0.4533, decode.d8.loss_dice: 0.6917, loss: 14.9029, grad_norm: 44.2896 2023-11-12 11:20:31,766 - mmseg - INFO - Iter [90100/160000] lr: 4.369e-05, eta: 9:45:53, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2183, decode.loss_mask: 0.4632, decode.loss_dice: 0.6945, decode.d0.loss_cls: 1.2006, decode.d0.loss_mask: 0.4969, decode.d0.loss_dice: 0.7551, decode.d1.loss_cls: 0.2847, decode.d1.loss_mask: 0.4800, decode.d1.loss_dice: 0.7325, decode.d2.loss_cls: 0.2486, decode.d2.loss_mask: 0.4719, decode.d2.loss_dice: 0.7117, decode.d3.loss_cls: 0.2320, decode.d3.loss_mask: 0.4649, decode.d3.loss_dice: 0.7006, decode.d4.loss_cls: 0.2219, decode.d4.loss_mask: 0.4656, decode.d4.loss_dice: 0.7040, decode.d5.loss_cls: 0.2193, decode.d5.loss_mask: 0.4650, decode.d5.loss_dice: 0.7001, decode.d6.loss_cls: 0.2177, decode.d6.loss_mask: 0.4628, decode.d6.loss_dice: 0.6978, decode.d7.loss_cls: 0.2145, decode.d7.loss_mask: 0.4653, decode.d7.loss_dice: 0.7008, decode.d8.loss_cls: 0.2143, decode.d8.loss_mask: 0.4647, decode.d8.loss_dice: 0.6984, loss: 15.0676, grad_norm: 49.4345 2023-11-12 11:20:55,697 - mmseg - INFO - Iter [90150/160000] lr: 4.366e-05, eta: 9:45:27, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2073, decode.loss_mask: 0.4556, decode.loss_dice: 0.6797, decode.d0.loss_cls: 1.1996, decode.d0.loss_mask: 0.4924, decode.d0.loss_dice: 0.7381, decode.d1.loss_cls: 0.2795, decode.d1.loss_mask: 0.4725, decode.d1.loss_dice: 0.7181, decode.d2.loss_cls: 0.2468, decode.d2.loss_mask: 0.4618, decode.d2.loss_dice: 0.6957, decode.d3.loss_cls: 0.2293, decode.d3.loss_mask: 0.4612, decode.d3.loss_dice: 0.6886, decode.d4.loss_cls: 0.2221, decode.d4.loss_mask: 0.4594, decode.d4.loss_dice: 0.6854, decode.d5.loss_cls: 0.2198, decode.d5.loss_mask: 0.4594, decode.d5.loss_dice: 0.6846, decode.d6.loss_cls: 0.2155, decode.d6.loss_mask: 0.4573, decode.d6.loss_dice: 0.6839, decode.d7.loss_cls: 0.2113, decode.d7.loss_mask: 0.4571, decode.d7.loss_dice: 0.6834, decode.d8.loss_cls: 0.2079, decode.d8.loss_mask: 0.4563, decode.d8.loss_dice: 0.6805, loss: 14.8099, grad_norm: 45.6423 2023-11-12 11:21:19,499 - mmseg - INFO - Iter [90200/160000] lr: 4.363e-05, eta: 9:45:01, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2017, decode.loss_mask: 0.4571, decode.loss_dice: 0.6935, decode.d0.loss_cls: 1.2031, decode.d0.loss_mask: 0.4905, decode.d0.loss_dice: 0.7558, decode.d1.loss_cls: 0.2827, decode.d1.loss_mask: 0.4701, decode.d1.loss_dice: 0.7245, decode.d2.loss_cls: 0.2406, decode.d2.loss_mask: 0.4616, decode.d2.loss_dice: 0.7108, decode.d3.loss_cls: 0.2273, decode.d3.loss_mask: 0.4596, decode.d3.loss_dice: 0.6975, decode.d4.loss_cls: 0.2182, decode.d4.loss_mask: 0.4581, decode.d4.loss_dice: 0.6998, decode.d5.loss_cls: 0.2112, decode.d5.loss_mask: 0.4567, decode.d5.loss_dice: 0.6985, decode.d6.loss_cls: 0.2115, decode.d6.loss_mask: 0.4569, decode.d6.loss_dice: 0.6925, decode.d7.loss_cls: 0.2085, decode.d7.loss_mask: 0.4585, decode.d7.loss_dice: 0.6921, decode.d8.loss_cls: 0.2085, decode.d8.loss_mask: 0.4559, decode.d8.loss_dice: 0.6896, loss: 14.8929, grad_norm: 48.5538 2023-11-12 11:21:43,194 - mmseg - INFO - Iter [90250/160000] lr: 4.359e-05, eta: 9:44:35, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1986, decode.loss_mask: 0.4758, decode.loss_dice: 0.6881, decode.d0.loss_cls: 1.1690, decode.d0.loss_mask: 0.5055, decode.d0.loss_dice: 0.7429, decode.d1.loss_cls: 0.2648, decode.d1.loss_mask: 0.4915, decode.d1.loss_dice: 0.7205, decode.d2.loss_cls: 0.2240, decode.d2.loss_mask: 0.4826, decode.d2.loss_dice: 0.7026, decode.d3.loss_cls: 0.2165, decode.d3.loss_mask: 0.4809, decode.d3.loss_dice: 0.6881, decode.d4.loss_cls: 0.2094, decode.d4.loss_mask: 0.4783, decode.d4.loss_dice: 0.6873, decode.d5.loss_cls: 0.2032, decode.d5.loss_mask: 0.4772, decode.d5.loss_dice: 0.6901, decode.d6.loss_cls: 0.2038, decode.d6.loss_mask: 0.4759, decode.d6.loss_dice: 0.6839, decode.d7.loss_cls: 0.1960, decode.d7.loss_mask: 0.4788, decode.d7.loss_dice: 0.6875, decode.d8.loss_cls: 0.1980, decode.d8.loss_mask: 0.4782, decode.d8.loss_dice: 0.6904, loss: 14.8893, grad_norm: 49.5532 2023-11-12 11:22:07,125 - mmseg - INFO - Iter [90300/160000] lr: 4.356e-05, eta: 9:44:08, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1963, decode.loss_mask: 0.4625, decode.loss_dice: 0.6912, decode.d0.loss_cls: 1.1909, decode.d0.loss_mask: 0.4983, decode.d0.loss_dice: 0.7595, decode.d1.loss_cls: 0.2697, decode.d1.loss_mask: 0.4753, decode.d1.loss_dice: 0.7201, decode.d2.loss_cls: 0.2304, decode.d2.loss_mask: 0.4685, decode.d2.loss_dice: 0.7057, decode.d3.loss_cls: 0.2154, decode.d3.loss_mask: 0.4653, decode.d3.loss_dice: 0.6928, decode.d4.loss_cls: 0.2068, decode.d4.loss_mask: 0.4642, decode.d4.loss_dice: 0.6960, decode.d5.loss_cls: 0.2042, decode.d5.loss_mask: 0.4640, decode.d5.loss_dice: 0.6942, decode.d6.loss_cls: 0.1956, decode.d6.loss_mask: 0.4620, decode.d6.loss_dice: 0.6899, decode.d7.loss_cls: 0.1940, decode.d7.loss_mask: 0.4604, decode.d7.loss_dice: 0.6885, decode.d8.loss_cls: 0.1923, decode.d8.loss_mask: 0.4644, decode.d8.loss_dice: 0.6921, loss: 14.8106, grad_norm: 43.0474 2023-11-12 11:22:31,022 - mmseg - INFO - Iter [90350/160000] lr: 4.353e-05, eta: 9:43:42, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1909, decode.loss_mask: 0.4672, decode.loss_dice: 0.7022, decode.d0.loss_cls: 1.1759, decode.d0.loss_mask: 0.4983, decode.d0.loss_dice: 0.7628, decode.d1.loss_cls: 0.2559, decode.d1.loss_mask: 0.4819, decode.d1.loss_dice: 0.7363, decode.d2.loss_cls: 0.2239, decode.d2.loss_mask: 0.4704, decode.d2.loss_dice: 0.7181, decode.d3.loss_cls: 0.2083, decode.d3.loss_mask: 0.4670, decode.d3.loss_dice: 0.7084, decode.d4.loss_cls: 0.1973, decode.d4.loss_mask: 0.4674, decode.d4.loss_dice: 0.7068, decode.d5.loss_cls: 0.1995, decode.d5.loss_mask: 0.4656, decode.d5.loss_dice: 0.7036, decode.d6.loss_cls: 0.1955, decode.d6.loss_mask: 0.4674, decode.d6.loss_dice: 0.7036, decode.d7.loss_cls: 0.1952, decode.d7.loss_mask: 0.4642, decode.d7.loss_dice: 0.7049, decode.d8.loss_cls: 0.1879, decode.d8.loss_mask: 0.4670, decode.d8.loss_dice: 0.7082, loss: 14.9014, grad_norm: 47.4491 2023-11-12 11:22:54,914 - mmseg - INFO - Iter [90400/160000] lr: 4.350e-05, eta: 9:43:16, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2059, decode.loss_mask: 0.4501, decode.loss_dice: 0.6984, decode.d0.loss_cls: 1.2039, decode.d0.loss_mask: 0.4853, decode.d0.loss_dice: 0.7641, decode.d1.loss_cls: 0.2709, decode.d1.loss_mask: 0.4662, decode.d1.loss_dice: 0.7339, decode.d2.loss_cls: 0.2338, decode.d2.loss_mask: 0.4561, decode.d2.loss_dice: 0.7206, decode.d3.loss_cls: 0.2204, decode.d3.loss_mask: 0.4497, decode.d3.loss_dice: 0.7025, decode.d4.loss_cls: 0.2091, decode.d4.loss_mask: 0.4517, decode.d4.loss_dice: 0.7039, decode.d5.loss_cls: 0.2113, decode.d5.loss_mask: 0.4490, decode.d5.loss_dice: 0.7009, decode.d6.loss_cls: 0.2081, decode.d6.loss_mask: 0.4501, decode.d6.loss_dice: 0.6962, decode.d7.loss_cls: 0.2044, decode.d7.loss_mask: 0.4505, decode.d7.loss_dice: 0.6975, decode.d8.loss_cls: 0.2050, decode.d8.loss_mask: 0.4495, decode.d8.loss_dice: 0.6998, loss: 14.8487, grad_norm: 46.2802 2023-11-12 11:23:18,955 - mmseg - INFO - Iter [90450/160000] lr: 4.347e-05, eta: 9:42:50, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2192, decode.loss_mask: 0.4524, decode.loss_dice: 0.7120, decode.d0.loss_cls: 1.2139, decode.d0.loss_mask: 0.4852, decode.d0.loss_dice: 0.7761, decode.d1.loss_cls: 0.2905, decode.d1.loss_mask: 0.4689, decode.d1.loss_dice: 0.7412, decode.d2.loss_cls: 0.2550, decode.d2.loss_mask: 0.4602, decode.d2.loss_dice: 0.7237, decode.d3.loss_cls: 0.2388, decode.d3.loss_mask: 0.4574, decode.d3.loss_dice: 0.7169, decode.d4.loss_cls: 0.2347, decode.d4.loss_mask: 0.4551, decode.d4.loss_dice: 0.7134, decode.d5.loss_cls: 0.2251, decode.d5.loss_mask: 0.4551, decode.d5.loss_dice: 0.7182, decode.d6.loss_cls: 0.2248, decode.d6.loss_mask: 0.4540, decode.d6.loss_dice: 0.7111, decode.d7.loss_cls: 0.2197, decode.d7.loss_mask: 0.4537, decode.d7.loss_dice: 0.7143, decode.d8.loss_cls: 0.2197, decode.d8.loss_mask: 0.4513, decode.d8.loss_dice: 0.7088, loss: 15.1708, grad_norm: 48.9735 2023-11-12 11:23:42,827 - mmseg - INFO - Iter [90500/160000] lr: 4.344e-05, eta: 9:42:24, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2175, decode.loss_mask: 0.4818, decode.loss_dice: 0.7186, decode.d0.loss_cls: 1.1800, decode.d0.loss_mask: 0.5190, decode.d0.loss_dice: 0.7881, decode.d1.loss_cls: 0.2882, decode.d1.loss_mask: 0.4980, decode.d1.loss_dice: 0.7562, decode.d2.loss_cls: 0.2385, decode.d2.loss_mask: 0.4888, decode.d2.loss_dice: 0.7397, decode.d3.loss_cls: 0.2281, decode.d3.loss_mask: 0.4861, decode.d3.loss_dice: 0.7254, decode.d4.loss_cls: 0.2249, decode.d4.loss_mask: 0.4839, decode.d4.loss_dice: 0.7255, decode.d5.loss_cls: 0.2232, decode.d5.loss_mask: 0.4839, decode.d5.loss_dice: 0.7275, decode.d6.loss_cls: 0.2200, decode.d6.loss_mask: 0.4834, decode.d6.loss_dice: 0.7218, decode.d7.loss_cls: 0.2162, decode.d7.loss_mask: 0.4819, decode.d7.loss_dice: 0.7253, decode.d8.loss_cls: 0.2167, decode.d8.loss_mask: 0.4816, decode.d8.loss_dice: 0.7202, loss: 15.4898, grad_norm: 50.3778 2023-11-12 11:24:06,509 - mmseg - INFO - Iter [90550/160000] lr: 4.341e-05, eta: 9:41:58, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2070, decode.loss_mask: 0.4832, decode.loss_dice: 0.7002, decode.d0.loss_cls: 1.1798, decode.d0.loss_mask: 0.5114, decode.d0.loss_dice: 0.7670, decode.d1.loss_cls: 0.2707, decode.d1.loss_mask: 0.4951, decode.d1.loss_dice: 0.7365, decode.d2.loss_cls: 0.2365, decode.d2.loss_mask: 0.4901, decode.d2.loss_dice: 0.7222, decode.d3.loss_cls: 0.2212, decode.d3.loss_mask: 0.4855, decode.d3.loss_dice: 0.7050, decode.d4.loss_cls: 0.2149, decode.d4.loss_mask: 0.4845, decode.d4.loss_dice: 0.7041, decode.d5.loss_cls: 0.2092, decode.d5.loss_mask: 0.4837, decode.d5.loss_dice: 0.7076, decode.d6.loss_cls: 0.2161, decode.d6.loss_mask: 0.4824, decode.d6.loss_dice: 0.7023, decode.d7.loss_cls: 0.2101, decode.d7.loss_mask: 0.4820, decode.d7.loss_dice: 0.7021, decode.d8.loss_cls: 0.2079, decode.d8.loss_mask: 0.4837, decode.d8.loss_dice: 0.6978, loss: 15.1999, grad_norm: 51.5507 2023-11-12 11:24:30,202 - mmseg - INFO - Iter [90600/160000] lr: 4.338e-05, eta: 9:41:32, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2163, decode.loss_mask: 0.4551, decode.loss_dice: 0.6974, decode.d0.loss_cls: 1.2422, decode.d0.loss_mask: 0.4889, decode.d0.loss_dice: 0.7622, decode.d1.loss_cls: 0.2907, decode.d1.loss_mask: 0.4706, decode.d1.loss_dice: 0.7349, decode.d2.loss_cls: 0.2486, decode.d2.loss_mask: 0.4625, decode.d2.loss_dice: 0.7150, decode.d3.loss_cls: 0.2427, decode.d3.loss_mask: 0.4572, decode.d3.loss_dice: 0.6980, decode.d4.loss_cls: 0.2343, decode.d4.loss_mask: 0.4564, decode.d4.loss_dice: 0.6989, decode.d5.loss_cls: 0.2273, decode.d5.loss_mask: 0.4572, decode.d5.loss_dice: 0.7048, decode.d6.loss_cls: 0.2213, decode.d6.loss_mask: 0.4570, decode.d6.loss_dice: 0.6967, decode.d7.loss_cls: 0.2176, decode.d7.loss_mask: 0.4557, decode.d7.loss_dice: 0.6951, decode.d8.loss_cls: 0.2192, decode.d8.loss_mask: 0.4557, decode.d8.loss_dice: 0.6962, loss: 15.0754, grad_norm: 48.0630 2023-11-12 11:24:53,925 - mmseg - INFO - Iter [90650/160000] lr: 4.334e-05, eta: 9:41:05, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2075, decode.loss_mask: 0.4840, decode.loss_dice: 0.7124, decode.d0.loss_cls: 1.2041, decode.d0.loss_mask: 0.5147, decode.d0.loss_dice: 0.7714, decode.d1.loss_cls: 0.2726, decode.d1.loss_mask: 0.4965, decode.d1.loss_dice: 0.7477, decode.d2.loss_cls: 0.2430, decode.d2.loss_mask: 0.4888, decode.d2.loss_dice: 0.7264, decode.d3.loss_cls: 0.2246, decode.d3.loss_mask: 0.4852, decode.d3.loss_dice: 0.7142, decode.d4.loss_cls: 0.2109, decode.d4.loss_mask: 0.4850, decode.d4.loss_dice: 0.7189, decode.d5.loss_cls: 0.2124, decode.d5.loss_mask: 0.4868, decode.d5.loss_dice: 0.7190, decode.d6.loss_cls: 0.2140, decode.d6.loss_mask: 0.4837, decode.d6.loss_dice: 0.7108, decode.d7.loss_cls: 0.2127, decode.d7.loss_mask: 0.4833, decode.d7.loss_dice: 0.7128, decode.d8.loss_cls: 0.2060, decode.d8.loss_mask: 0.4836, decode.d8.loss_dice: 0.7121, loss: 15.3450, grad_norm: 47.0239 2023-11-12 11:25:17,747 - mmseg - INFO - Iter [90700/160000] lr: 4.331e-05, eta: 9:40:39, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2023, decode.loss_mask: 0.4546, decode.loss_dice: 0.7039, decode.d0.loss_cls: 1.1784, decode.d0.loss_mask: 0.4941, decode.d0.loss_dice: 0.7748, decode.d1.loss_cls: 0.2742, decode.d1.loss_mask: 0.4721, decode.d1.loss_dice: 0.7485, decode.d2.loss_cls: 0.2312, decode.d2.loss_mask: 0.4640, decode.d2.loss_dice: 0.7310, decode.d3.loss_cls: 0.2149, decode.d3.loss_mask: 0.4583, decode.d3.loss_dice: 0.7140, decode.d4.loss_cls: 0.2079, decode.d4.loss_mask: 0.4569, decode.d4.loss_dice: 0.7170, decode.d5.loss_cls: 0.2070, decode.d5.loss_mask: 0.4567, decode.d5.loss_dice: 0.7126, decode.d6.loss_cls: 0.2104, decode.d6.loss_mask: 0.4562, decode.d6.loss_dice: 0.7085, decode.d7.loss_cls: 0.2039, decode.d7.loss_mask: 0.4565, decode.d7.loss_dice: 0.7091, decode.d8.loss_cls: 0.2026, decode.d8.loss_mask: 0.4537, decode.d8.loss_dice: 0.7067, loss: 14.9820, grad_norm: 47.1535 2023-11-12 11:25:41,694 - mmseg - INFO - Iter [90750/160000] lr: 4.328e-05, eta: 9:40:13, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2240, decode.loss_mask: 0.4586, decode.loss_dice: 0.6910, decode.d0.loss_cls: 1.2113, decode.d0.loss_mask: 0.4858, decode.d0.loss_dice: 0.7488, decode.d1.loss_cls: 0.2944, decode.d1.loss_mask: 0.4679, decode.d1.loss_dice: 0.7239, decode.d2.loss_cls: 0.2550, decode.d2.loss_mask: 0.4599, decode.d2.loss_dice: 0.7114, decode.d3.loss_cls: 0.2396, decode.d3.loss_mask: 0.4584, decode.d3.loss_dice: 0.7001, decode.d4.loss_cls: 0.2283, decode.d4.loss_mask: 0.4575, decode.d4.loss_dice: 0.6963, decode.d5.loss_cls: 0.2288, decode.d5.loss_mask: 0.4581, decode.d5.loss_dice: 0.6909, decode.d6.loss_cls: 0.2273, decode.d6.loss_mask: 0.4580, decode.d6.loss_dice: 0.6917, decode.d7.loss_cls: 0.2260, decode.d7.loss_mask: 0.4588, decode.d7.loss_dice: 0.6887, decode.d8.loss_cls: 0.2247, decode.d8.loss_mask: 0.4584, decode.d8.loss_dice: 0.6876, loss: 15.0111, grad_norm: 44.8002 2023-11-12 11:26:05,511 - mmseg - INFO - Iter [90800/160000] lr: 4.325e-05, eta: 9:39:47, time: 0.476, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2176, decode.loss_mask: 0.4563, decode.loss_dice: 0.7089, decode.d0.loss_cls: 1.2252, decode.d0.loss_mask: 0.4904, decode.d0.loss_dice: 0.7742, decode.d1.loss_cls: 0.2807, decode.d1.loss_mask: 0.4675, decode.d1.loss_dice: 0.7460, decode.d2.loss_cls: 0.2492, decode.d2.loss_mask: 0.4607, decode.d2.loss_dice: 0.7258, decode.d3.loss_cls: 0.2321, decode.d3.loss_mask: 0.4564, decode.d3.loss_dice: 0.7096, decode.d4.loss_cls: 0.2217, decode.d4.loss_mask: 0.4552, decode.d4.loss_dice: 0.7110, decode.d5.loss_cls: 0.2173, decode.d5.loss_mask: 0.4558, decode.d5.loss_dice: 0.7117, decode.d6.loss_cls: 0.2187, decode.d6.loss_mask: 0.4561, decode.d6.loss_dice: 0.7104, decode.d7.loss_cls: 0.2178, decode.d7.loss_mask: 0.4564, decode.d7.loss_dice: 0.7108, decode.d8.loss_cls: 0.2184, decode.d8.loss_mask: 0.4565, decode.d8.loss_dice: 0.7070, loss: 15.1256, grad_norm: 46.5642 2023-11-12 11:26:29,323 - mmseg - INFO - Iter [90850/160000] lr: 4.322e-05, eta: 9:39:21, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2277, decode.loss_mask: 0.4560, decode.loss_dice: 0.6933, decode.d0.loss_cls: 1.1915, decode.d0.loss_mask: 0.4849, decode.d0.loss_dice: 0.7534, decode.d1.loss_cls: 0.3008, decode.d1.loss_mask: 0.4655, decode.d1.loss_dice: 0.7203, decode.d2.loss_cls: 0.2659, decode.d2.loss_mask: 0.4579, decode.d2.loss_dice: 0.7027, decode.d3.loss_cls: 0.2462, decode.d3.loss_mask: 0.4545, decode.d3.loss_dice: 0.6924, decode.d4.loss_cls: 0.2376, decode.d4.loss_mask: 0.4554, decode.d4.loss_dice: 0.6953, decode.d5.loss_cls: 0.2344, decode.d5.loss_mask: 0.4547, decode.d5.loss_dice: 0.6919, decode.d6.loss_cls: 0.2274, decode.d6.loss_mask: 0.4548, decode.d6.loss_dice: 0.6968, decode.d7.loss_cls: 0.2292, decode.d7.loss_mask: 0.4548, decode.d7.loss_dice: 0.6931, decode.d8.loss_cls: 0.2262, decode.d8.loss_mask: 0.4555, decode.d8.loss_dice: 0.6912, loss: 15.0111, grad_norm: 44.7488 2023-11-12 11:26:53,233 - mmseg - INFO - Iter [90900/160000] lr: 4.319e-05, eta: 9:38:55, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2079, decode.loss_mask: 0.4659, decode.loss_dice: 0.7227, decode.d0.loss_cls: 1.2248, decode.d0.loss_mask: 0.4994, decode.d0.loss_dice: 0.7928, decode.d1.loss_cls: 0.2766, decode.d1.loss_mask: 0.4813, decode.d1.loss_dice: 0.7621, decode.d2.loss_cls: 0.2391, decode.d2.loss_mask: 0.4762, decode.d2.loss_dice: 0.7371, decode.d3.loss_cls: 0.2266, decode.d3.loss_mask: 0.4706, decode.d3.loss_dice: 0.7277, decode.d4.loss_cls: 0.2208, decode.d4.loss_mask: 0.4685, decode.d4.loss_dice: 0.7224, decode.d5.loss_cls: 0.2173, decode.d5.loss_mask: 0.4702, decode.d5.loss_dice: 0.7280, decode.d6.loss_cls: 0.2155, decode.d6.loss_mask: 0.4667, decode.d6.loss_dice: 0.7239, decode.d7.loss_cls: 0.2116, decode.d7.loss_mask: 0.4683, decode.d7.loss_dice: 0.7206, decode.d8.loss_cls: 0.2121, decode.d8.loss_mask: 0.4675, decode.d8.loss_dice: 0.7227, loss: 15.3471, grad_norm: 46.6349 2023-11-12 11:27:19,196 - mmseg - INFO - Iter [90950/160000] lr: 4.316e-05, eta: 9:38:30, time: 0.519, data_time: 0.058, memory: 41146, decode.loss_cls: 0.2106, decode.loss_mask: 0.4570, decode.loss_dice: 0.6973, decode.d0.loss_cls: 1.1890, decode.d0.loss_mask: 0.4874, decode.d0.loss_dice: 0.7539, decode.d1.loss_cls: 0.2770, decode.d1.loss_mask: 0.4741, decode.d1.loss_dice: 0.7244, decode.d2.loss_cls: 0.2445, decode.d2.loss_mask: 0.4639, decode.d2.loss_dice: 0.7076, decode.d3.loss_cls: 0.2260, decode.d3.loss_mask: 0.4613, decode.d3.loss_dice: 0.6981, decode.d4.loss_cls: 0.2228, decode.d4.loss_mask: 0.4612, decode.d4.loss_dice: 0.6997, decode.d5.loss_cls: 0.2227, decode.d5.loss_mask: 0.4614, decode.d5.loss_dice: 0.6987, decode.d6.loss_cls: 0.2157, decode.d6.loss_mask: 0.4588, decode.d6.loss_dice: 0.6943, decode.d7.loss_cls: 0.2158, decode.d7.loss_mask: 0.4577, decode.d7.loss_dice: 0.6916, decode.d8.loss_cls: 0.2125, decode.d8.loss_mask: 0.4575, decode.d8.loss_dice: 0.6961, loss: 14.9386, grad_norm: 49.6567 2023-11-12 11:27:42,981 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 11:27:42,982 - mmseg - INFO - Iter [91000/160000] lr: 4.313e-05, eta: 9:38:04, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1975, decode.loss_mask: 0.4591, decode.loss_dice: 0.6695, decode.d0.loss_cls: 1.1767, decode.d0.loss_mask: 0.4907, decode.d0.loss_dice: 0.7241, decode.d1.loss_cls: 0.2626, decode.d1.loss_mask: 0.4710, decode.d1.loss_dice: 0.6991, decode.d2.loss_cls: 0.2321, decode.d2.loss_mask: 0.4632, decode.d2.loss_dice: 0.6866, decode.d3.loss_cls: 0.2146, decode.d3.loss_mask: 0.4601, decode.d3.loss_dice: 0.6745, decode.d4.loss_cls: 0.2047, decode.d4.loss_mask: 0.4600, decode.d4.loss_dice: 0.6751, decode.d5.loss_cls: 0.2050, decode.d5.loss_mask: 0.4575, decode.d5.loss_dice: 0.6722, decode.d6.loss_cls: 0.2041, decode.d6.loss_mask: 0.4586, decode.d6.loss_dice: 0.6678, decode.d7.loss_cls: 0.2009, decode.d7.loss_mask: 0.4598, decode.d7.loss_dice: 0.6691, decode.d8.loss_cls: 0.2017, decode.d8.loss_mask: 0.4591, decode.d8.loss_dice: 0.6709, loss: 14.5479, grad_norm: 45.7835 2023-11-12 11:28:06,716 - mmseg - INFO - Iter [91050/160000] lr: 4.309e-05, eta: 9:37:38, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2240, decode.loss_mask: 0.4604, decode.loss_dice: 0.7130, decode.d0.loss_cls: 1.2406, decode.d0.loss_mask: 0.4889, decode.d0.loss_dice: 0.7804, decode.d1.loss_cls: 0.2949, decode.d1.loss_mask: 0.4772, decode.d1.loss_dice: 0.7544, decode.d2.loss_cls: 0.2597, decode.d2.loss_mask: 0.4675, decode.d2.loss_dice: 0.7355, decode.d3.loss_cls: 0.2435, decode.d3.loss_mask: 0.4634, decode.d3.loss_dice: 0.7200, decode.d4.loss_cls: 0.2357, decode.d4.loss_mask: 0.4618, decode.d4.loss_dice: 0.7119, decode.d5.loss_cls: 0.2295, decode.d5.loss_mask: 0.4596, decode.d5.loss_dice: 0.7174, decode.d6.loss_cls: 0.2354, decode.d6.loss_mask: 0.4601, decode.d6.loss_dice: 0.7107, decode.d7.loss_cls: 0.2287, decode.d7.loss_mask: 0.4596, decode.d7.loss_dice: 0.7140, decode.d8.loss_cls: 0.2253, decode.d8.loss_mask: 0.4607, decode.d8.loss_dice: 0.7148, loss: 15.3482, grad_norm: 49.2271 2023-11-12 11:28:30,516 - mmseg - INFO - Iter [91100/160000] lr: 4.306e-05, eta: 9:37:12, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2028, decode.loss_mask: 0.4876, decode.loss_dice: 0.7332, decode.d0.loss_cls: 1.1948, decode.d0.loss_mask: 0.5278, decode.d0.loss_dice: 0.8021, decode.d1.loss_cls: 0.2818, decode.d1.loss_mask: 0.5028, decode.d1.loss_dice: 0.7735, decode.d2.loss_cls: 0.2421, decode.d2.loss_mask: 0.4943, decode.d2.loss_dice: 0.7494, decode.d3.loss_cls: 0.2251, decode.d3.loss_mask: 0.4921, decode.d3.loss_dice: 0.7424, decode.d4.loss_cls: 0.2165, decode.d4.loss_mask: 0.4899, decode.d4.loss_dice: 0.7410, decode.d5.loss_cls: 0.2158, decode.d5.loss_mask: 0.4879, decode.d5.loss_dice: 0.7416, decode.d6.loss_cls: 0.2105, decode.d6.loss_mask: 0.4901, decode.d6.loss_dice: 0.7366, decode.d7.loss_cls: 0.2095, decode.d7.loss_mask: 0.4880, decode.d7.loss_dice: 0.7341, decode.d8.loss_cls: 0.2042, decode.d8.loss_mask: 0.4881, decode.d8.loss_dice: 0.7379, loss: 15.6436, grad_norm: 46.0719 2023-11-12 11:28:54,395 - mmseg - INFO - Iter [91150/160000] lr: 4.303e-05, eta: 9:36:46, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2023, decode.loss_mask: 0.4716, decode.loss_dice: 0.6956, decode.d0.loss_cls: 1.1811, decode.d0.loss_mask: 0.5088, decode.d0.loss_dice: 0.7509, decode.d1.loss_cls: 0.2709, decode.d1.loss_mask: 0.4866, decode.d1.loss_dice: 0.7344, decode.d2.loss_cls: 0.2262, decode.d2.loss_mask: 0.4782, decode.d2.loss_dice: 0.7083, decode.d3.loss_cls: 0.2191, decode.d3.loss_mask: 0.4722, decode.d3.loss_dice: 0.6999, decode.d4.loss_cls: 0.2072, decode.d4.loss_mask: 0.4728, decode.d4.loss_dice: 0.6969, decode.d5.loss_cls: 0.2107, decode.d5.loss_mask: 0.4707, decode.d5.loss_dice: 0.6948, decode.d6.loss_cls: 0.2106, decode.d6.loss_mask: 0.4696, decode.d6.loss_dice: 0.6939, decode.d7.loss_cls: 0.2050, decode.d7.loss_mask: 0.4705, decode.d7.loss_dice: 0.6956, decode.d8.loss_cls: 0.2020, decode.d8.loss_mask: 0.4713, decode.d8.loss_dice: 0.6949, loss: 14.9726, grad_norm: 50.7030 2023-11-12 11:29:18,218 - mmseg - INFO - Iter [91200/160000] lr: 4.300e-05, eta: 9:36:20, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2094, decode.loss_mask: 0.4710, decode.loss_dice: 0.7283, decode.d0.loss_cls: 1.2031, decode.d0.loss_mask: 0.5100, decode.d0.loss_dice: 0.7952, decode.d1.loss_cls: 0.2865, decode.d1.loss_mask: 0.4874, decode.d1.loss_dice: 0.7616, decode.d2.loss_cls: 0.2482, decode.d2.loss_mask: 0.4766, decode.d2.loss_dice: 0.7439, decode.d3.loss_cls: 0.2273, decode.d3.loss_mask: 0.4727, decode.d3.loss_dice: 0.7345, decode.d4.loss_cls: 0.2236, decode.d4.loss_mask: 0.4741, decode.d4.loss_dice: 0.7325, decode.d5.loss_cls: 0.2222, decode.d5.loss_mask: 0.4738, decode.d5.loss_dice: 0.7329, decode.d6.loss_cls: 0.2211, decode.d6.loss_mask: 0.4711, decode.d6.loss_dice: 0.7231, decode.d7.loss_cls: 0.2165, decode.d7.loss_mask: 0.4717, decode.d7.loss_dice: 0.7290, decode.d8.loss_cls: 0.2146, decode.d8.loss_mask: 0.4708, decode.d8.loss_dice: 0.7282, loss: 15.4612, grad_norm: 45.3730 2023-11-12 11:29:42,083 - mmseg - INFO - Iter [91250/160000] lr: 4.297e-05, eta: 9:35:54, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2126, decode.loss_mask: 0.4715, decode.loss_dice: 0.7068, decode.d0.loss_cls: 1.2076, decode.d0.loss_mask: 0.5027, decode.d0.loss_dice: 0.7670, decode.d1.loss_cls: 0.2851, decode.d1.loss_mask: 0.4915, decode.d1.loss_dice: 0.7421, decode.d2.loss_cls: 0.2487, decode.d2.loss_mask: 0.4795, decode.d2.loss_dice: 0.7230, decode.d3.loss_cls: 0.2336, decode.d3.loss_mask: 0.4739, decode.d3.loss_dice: 0.7173, decode.d4.loss_cls: 0.2268, decode.d4.loss_mask: 0.4742, decode.d4.loss_dice: 0.7128, decode.d5.loss_cls: 0.2254, decode.d5.loss_mask: 0.4729, decode.d5.loss_dice: 0.7123, decode.d6.loss_cls: 0.2163, decode.d6.loss_mask: 0.4719, decode.d6.loss_dice: 0.7113, decode.d7.loss_cls: 0.2169, decode.d7.loss_mask: 0.4721, decode.d7.loss_dice: 0.7115, decode.d8.loss_cls: 0.2178, decode.d8.loss_mask: 0.4705, decode.d8.loss_dice: 0.7071, loss: 15.2827, grad_norm: 49.4326 2023-11-12 11:30:05,940 - mmseg - INFO - Iter [91300/160000] lr: 4.294e-05, eta: 9:35:28, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1862, decode.loss_mask: 0.4551, decode.loss_dice: 0.6981, decode.d0.loss_cls: 1.1900, decode.d0.loss_mask: 0.4878, decode.d0.loss_dice: 0.7588, decode.d1.loss_cls: 0.2541, decode.d1.loss_mask: 0.4700, decode.d1.loss_dice: 0.7343, decode.d2.loss_cls: 0.2207, decode.d2.loss_mask: 0.4618, decode.d2.loss_dice: 0.7119, decode.d3.loss_cls: 0.2010, decode.d3.loss_mask: 0.4591, decode.d3.loss_dice: 0.7051, decode.d4.loss_cls: 0.1906, decode.d4.loss_mask: 0.4587, decode.d4.loss_dice: 0.7037, decode.d5.loss_cls: 0.1919, decode.d5.loss_mask: 0.4564, decode.d5.loss_dice: 0.7030, decode.d6.loss_cls: 0.1880, decode.d6.loss_mask: 0.4555, decode.d6.loss_dice: 0.6976, decode.d7.loss_cls: 0.1835, decode.d7.loss_mask: 0.4568, decode.d7.loss_dice: 0.7017, decode.d8.loss_cls: 0.1852, decode.d8.loss_mask: 0.4556, decode.d8.loss_dice: 0.7029, loss: 14.7254, grad_norm: 46.7223 2023-11-12 11:30:29,697 - mmseg - INFO - Iter [91350/160000] lr: 4.291e-05, eta: 9:35:01, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2019, decode.loss_mask: 0.4577, decode.loss_dice: 0.7022, decode.d0.loss_cls: 1.2077, decode.d0.loss_mask: 0.4888, decode.d0.loss_dice: 0.7671, decode.d1.loss_cls: 0.2753, decode.d1.loss_mask: 0.4733, decode.d1.loss_dice: 0.7367, decode.d2.loss_cls: 0.2397, decode.d2.loss_mask: 0.4644, decode.d2.loss_dice: 0.7247, decode.d3.loss_cls: 0.2233, decode.d3.loss_mask: 0.4596, decode.d3.loss_dice: 0.7082, decode.d4.loss_cls: 0.2137, decode.d4.loss_mask: 0.4587, decode.d4.loss_dice: 0.7122, decode.d5.loss_cls: 0.2101, decode.d5.loss_mask: 0.4595, decode.d5.loss_dice: 0.7087, decode.d6.loss_cls: 0.2116, decode.d6.loss_mask: 0.4556, decode.d6.loss_dice: 0.7013, decode.d7.loss_cls: 0.2027, decode.d7.loss_mask: 0.4575, decode.d7.loss_dice: 0.7023, decode.d8.loss_cls: 0.2014, decode.d8.loss_mask: 0.4558, decode.d8.loss_dice: 0.7034, loss: 14.9851, grad_norm: 45.8260 2023-11-12 11:30:53,303 - mmseg - INFO - Iter [91400/160000] lr: 4.288e-05, eta: 9:34:35, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2078, decode.loss_mask: 0.4627, decode.loss_dice: 0.6847, decode.d0.loss_cls: 1.1904, decode.d0.loss_mask: 0.5008, decode.d0.loss_dice: 0.7512, decode.d1.loss_cls: 0.2765, decode.d1.loss_mask: 0.4769, decode.d1.loss_dice: 0.7246, decode.d2.loss_cls: 0.2380, decode.d2.loss_mask: 0.4707, decode.d2.loss_dice: 0.7029, decode.d3.loss_cls: 0.2213, decode.d3.loss_mask: 0.4658, decode.d3.loss_dice: 0.6910, decode.d4.loss_cls: 0.2179, decode.d4.loss_mask: 0.4646, decode.d4.loss_dice: 0.6882, decode.d5.loss_cls: 0.2104, decode.d5.loss_mask: 0.4654, decode.d5.loss_dice: 0.6889, decode.d6.loss_cls: 0.2100, decode.d6.loss_mask: 0.4640, decode.d6.loss_dice: 0.6852, decode.d7.loss_cls: 0.2096, decode.d7.loss_mask: 0.4631, decode.d7.loss_dice: 0.6881, decode.d8.loss_cls: 0.2072, decode.d8.loss_mask: 0.4639, decode.d8.loss_dice: 0.6885, loss: 14.8802, grad_norm: 48.3817 2023-11-12 11:31:17,095 - mmseg - INFO - Iter [91450/160000] lr: 4.284e-05, eta: 9:34:09, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2096, decode.loss_mask: 0.4640, decode.loss_dice: 0.7040, decode.d0.loss_cls: 1.1761, decode.d0.loss_mask: 0.4984, decode.d0.loss_dice: 0.7654, decode.d1.loss_cls: 0.2703, decode.d1.loss_mask: 0.4785, decode.d1.loss_dice: 0.7383, decode.d2.loss_cls: 0.2390, decode.d2.loss_mask: 0.4710, decode.d2.loss_dice: 0.7209, decode.d3.loss_cls: 0.2277, decode.d3.loss_mask: 0.4669, decode.d3.loss_dice: 0.7074, decode.d4.loss_cls: 0.2215, decode.d4.loss_mask: 0.4652, decode.d4.loss_dice: 0.7094, decode.d5.loss_cls: 0.2191, decode.d5.loss_mask: 0.4652, decode.d5.loss_dice: 0.7106, decode.d6.loss_cls: 0.2131, decode.d6.loss_mask: 0.4643, decode.d6.loss_dice: 0.7009, decode.d7.loss_cls: 0.2123, decode.d7.loss_mask: 0.4644, decode.d7.loss_dice: 0.7038, decode.d8.loss_cls: 0.2108, decode.d8.loss_mask: 0.4640, decode.d8.loss_dice: 0.7010, loss: 15.0634, grad_norm: 44.7646 2023-11-12 11:31:40,859 - mmseg - INFO - Iter [91500/160000] lr: 4.281e-05, eta: 9:33:43, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2052, decode.loss_mask: 0.4603, decode.loss_dice: 0.7074, decode.d0.loss_cls: 1.2050, decode.d0.loss_mask: 0.4974, decode.d0.loss_dice: 0.7707, decode.d1.loss_cls: 0.2773, decode.d1.loss_mask: 0.4766, decode.d1.loss_dice: 0.7469, decode.d2.loss_cls: 0.2411, decode.d2.loss_mask: 0.4681, decode.d2.loss_dice: 0.7275, decode.d3.loss_cls: 0.2251, decode.d3.loss_mask: 0.4634, decode.d3.loss_dice: 0.7159, decode.d4.loss_cls: 0.2120, decode.d4.loss_mask: 0.4628, decode.d4.loss_dice: 0.7122, decode.d5.loss_cls: 0.2110, decode.d5.loss_mask: 0.4633, decode.d5.loss_dice: 0.7158, decode.d6.loss_cls: 0.2101, decode.d6.loss_mask: 0.4617, decode.d6.loss_dice: 0.7078, decode.d7.loss_cls: 0.2035, decode.d7.loss_mask: 0.4618, decode.d7.loss_dice: 0.7057, decode.d8.loss_cls: 0.2039, decode.d8.loss_mask: 0.4614, decode.d8.loss_dice: 0.7078, loss: 15.0886, grad_norm: 45.0236 2023-11-12 11:32:04,641 - mmseg - INFO - Iter [91550/160000] lr: 4.278e-05, eta: 9:33:17, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2069, decode.loss_mask: 0.4769, decode.loss_dice: 0.6887, decode.d0.loss_cls: 1.1880, decode.d0.loss_mask: 0.5129, decode.d0.loss_dice: 0.7420, decode.d1.loss_cls: 0.2514, decode.d1.loss_mask: 0.4939, decode.d1.loss_dice: 0.7255, decode.d2.loss_cls: 0.2278, decode.d2.loss_mask: 0.4860, decode.d2.loss_dice: 0.7064, decode.d3.loss_cls: 0.2135, decode.d3.loss_mask: 0.4795, decode.d3.loss_dice: 0.6934, decode.d4.loss_cls: 0.2124, decode.d4.loss_mask: 0.4777, decode.d4.loss_dice: 0.6946, decode.d5.loss_cls: 0.2115, decode.d5.loss_mask: 0.4756, decode.d5.loss_dice: 0.6916, decode.d6.loss_cls: 0.2074, decode.d6.loss_mask: 0.4748, decode.d6.loss_dice: 0.6889, decode.d7.loss_cls: 0.2064, decode.d7.loss_mask: 0.4763, decode.d7.loss_dice: 0.6895, decode.d8.loss_cls: 0.2057, decode.d8.loss_mask: 0.4764, decode.d8.loss_dice: 0.6819, loss: 14.9636, grad_norm: 46.6066 2023-11-12 11:32:28,438 - mmseg - INFO - Iter [91600/160000] lr: 4.275e-05, eta: 9:32:51, time: 0.476, data_time: 0.011, memory: 41146, decode.loss_cls: 0.2032, decode.loss_mask: 0.4750, decode.loss_dice: 0.7152, decode.d0.loss_cls: 1.1874, decode.d0.loss_mask: 0.5101, decode.d0.loss_dice: 0.7735, decode.d1.loss_cls: 0.2669, decode.d1.loss_mask: 0.4894, decode.d1.loss_dice: 0.7417, decode.d2.loss_cls: 0.2359, decode.d2.loss_mask: 0.4802, decode.d2.loss_dice: 0.7286, decode.d3.loss_cls: 0.2232, decode.d3.loss_mask: 0.4755, decode.d3.loss_dice: 0.7128, decode.d4.loss_cls: 0.2175, decode.d4.loss_mask: 0.4748, decode.d4.loss_dice: 0.7134, decode.d5.loss_cls: 0.2112, decode.d5.loss_mask: 0.4730, decode.d5.loss_dice: 0.7190, decode.d6.loss_cls: 0.2095, decode.d6.loss_mask: 0.4734, decode.d6.loss_dice: 0.7087, decode.d7.loss_cls: 0.2035, decode.d7.loss_mask: 0.4734, decode.d7.loss_dice: 0.7104, decode.d8.loss_cls: 0.2054, decode.d8.loss_mask: 0.4727, decode.d8.loss_dice: 0.7127, loss: 15.1973, grad_norm: 51.1389 2023-11-12 11:32:52,422 - mmseg - INFO - Iter [91650/160000] lr: 4.272e-05, eta: 9:32:25, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2134, decode.loss_mask: 0.4442, decode.loss_dice: 0.6967, decode.d0.loss_cls: 1.2294, decode.d0.loss_mask: 0.4704, decode.d0.loss_dice: 0.7586, decode.d1.loss_cls: 0.2926, decode.d1.loss_mask: 0.4553, decode.d1.loss_dice: 0.7307, decode.d2.loss_cls: 0.2495, decode.d2.loss_mask: 0.4501, decode.d2.loss_dice: 0.7155, decode.d3.loss_cls: 0.2365, decode.d3.loss_mask: 0.4442, decode.d3.loss_dice: 0.7032, decode.d4.loss_cls: 0.2289, decode.d4.loss_mask: 0.4438, decode.d4.loss_dice: 0.6999, decode.d5.loss_cls: 0.2261, decode.d5.loss_mask: 0.4443, decode.d5.loss_dice: 0.7027, decode.d6.loss_cls: 0.2290, decode.d6.loss_mask: 0.4434, decode.d6.loss_dice: 0.6951, decode.d7.loss_cls: 0.2153, decode.d7.loss_mask: 0.4441, decode.d7.loss_dice: 0.6976, decode.d8.loss_cls: 0.2141, decode.d8.loss_mask: 0.4438, decode.d8.loss_dice: 0.6989, loss: 14.9173, grad_norm: 45.1623 2023-11-12 11:33:16,246 - mmseg - INFO - Iter [91700/160000] lr: 4.269e-05, eta: 9:31:58, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2089, decode.loss_mask: 0.4744, decode.loss_dice: 0.7027, decode.d0.loss_cls: 1.2011, decode.d0.loss_mask: 0.5064, decode.d0.loss_dice: 0.7642, decode.d1.loss_cls: 0.2842, decode.d1.loss_mask: 0.4858, decode.d1.loss_dice: 0.7418, decode.d2.loss_cls: 0.2476, decode.d2.loss_mask: 0.4800, decode.d2.loss_dice: 0.7219, decode.d3.loss_cls: 0.2309, decode.d3.loss_mask: 0.4752, decode.d3.loss_dice: 0.7072, decode.d4.loss_cls: 0.2188, decode.d4.loss_mask: 0.4751, decode.d4.loss_dice: 0.7097, decode.d5.loss_cls: 0.2149, decode.d5.loss_mask: 0.4757, decode.d5.loss_dice: 0.7064, decode.d6.loss_cls: 0.2140, decode.d6.loss_mask: 0.4743, decode.d6.loss_dice: 0.7004, decode.d7.loss_cls: 0.2081, decode.d7.loss_mask: 0.4736, decode.d7.loss_dice: 0.7046, decode.d8.loss_cls: 0.2096, decode.d8.loss_mask: 0.4744, decode.d8.loss_dice: 0.7036, loss: 15.1956, grad_norm: 51.5225 2023-11-12 11:33:40,048 - mmseg - INFO - Iter [91750/160000] lr: 4.266e-05, eta: 9:31:32, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2032, decode.loss_mask: 0.4765, decode.loss_dice: 0.7019, decode.d0.loss_cls: 1.1909, decode.d0.loss_mask: 0.5095, decode.d0.loss_dice: 0.7548, decode.d1.loss_cls: 0.2680, decode.d1.loss_mask: 0.4891, decode.d1.loss_dice: 0.7332, decode.d2.loss_cls: 0.2326, decode.d2.loss_mask: 0.4826, decode.d2.loss_dice: 0.7211, decode.d3.loss_cls: 0.2210, decode.d3.loss_mask: 0.4791, decode.d3.loss_dice: 0.7079, decode.d4.loss_cls: 0.2116, decode.d4.loss_mask: 0.4764, decode.d4.loss_dice: 0.7091, decode.d5.loss_cls: 0.2085, decode.d5.loss_mask: 0.4773, decode.d5.loss_dice: 0.7051, decode.d6.loss_cls: 0.2093, decode.d6.loss_mask: 0.4791, decode.d6.loss_dice: 0.7024, decode.d7.loss_cls: 0.2028, decode.d7.loss_mask: 0.4774, decode.d7.loss_dice: 0.7032, decode.d8.loss_cls: 0.1990, decode.d8.loss_mask: 0.4759, decode.d8.loss_dice: 0.7024, loss: 15.1108, grad_norm: 50.3449 2023-11-12 11:34:03,854 - mmseg - INFO - Iter [91800/160000] lr: 4.263e-05, eta: 9:31:06, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1966, decode.loss_mask: 0.4423, decode.loss_dice: 0.6948, decode.d0.loss_cls: 1.1862, decode.d0.loss_mask: 0.4798, decode.d0.loss_dice: 0.7558, decode.d1.loss_cls: 0.2661, decode.d1.loss_mask: 0.4551, decode.d1.loss_dice: 0.7327, decode.d2.loss_cls: 0.2266, decode.d2.loss_mask: 0.4469, decode.d2.loss_dice: 0.7094, decode.d3.loss_cls: 0.2122, decode.d3.loss_mask: 0.4452, decode.d3.loss_dice: 0.7008, decode.d4.loss_cls: 0.2010, decode.d4.loss_mask: 0.4450, decode.d4.loss_dice: 0.6994, decode.d5.loss_cls: 0.2063, decode.d5.loss_mask: 0.4409, decode.d5.loss_dice: 0.6977, decode.d6.loss_cls: 0.2058, decode.d6.loss_mask: 0.4434, decode.d6.loss_dice: 0.6899, decode.d7.loss_cls: 0.2015, decode.d7.loss_mask: 0.4425, decode.d7.loss_dice: 0.6936, decode.d8.loss_cls: 0.2005, decode.d8.loss_mask: 0.4430, decode.d8.loss_dice: 0.6932, loss: 14.6540, grad_norm: 43.0141 2023-11-12 11:34:27,548 - mmseg - INFO - Iter [91850/160000] lr: 4.259e-05, eta: 9:30:40, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2170, decode.loss_mask: 0.4763, decode.loss_dice: 0.7062, decode.d0.loss_cls: 1.1987, decode.d0.loss_mask: 0.5068, decode.d0.loss_dice: 0.7605, decode.d1.loss_cls: 0.2903, decode.d1.loss_mask: 0.4914, decode.d1.loss_dice: 0.7397, decode.d2.loss_cls: 0.2501, decode.d2.loss_mask: 0.4848, decode.d2.loss_dice: 0.7214, decode.d3.loss_cls: 0.2315, decode.d3.loss_mask: 0.4777, decode.d3.loss_dice: 0.7131, decode.d4.loss_cls: 0.2240, decode.d4.loss_mask: 0.4775, decode.d4.loss_dice: 0.7072, decode.d5.loss_cls: 0.2208, decode.d5.loss_mask: 0.4769, decode.d5.loss_dice: 0.7103, decode.d6.loss_cls: 0.2258, decode.d6.loss_mask: 0.4761, decode.d6.loss_dice: 0.7053, decode.d7.loss_cls: 0.2198, decode.d7.loss_mask: 0.4763, decode.d7.loss_dice: 0.6998, decode.d8.loss_cls: 0.2156, decode.d8.loss_mask: 0.4779, decode.d8.loss_dice: 0.7073, loss: 15.2859, grad_norm: 50.1251 2023-11-12 11:34:51,249 - mmseg - INFO - Iter [91900/160000] lr: 4.256e-05, eta: 9:30:14, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2062, decode.loss_mask: 0.4736, decode.loss_dice: 0.6934, decode.d0.loss_cls: 1.1909, decode.d0.loss_mask: 0.5095, decode.d0.loss_dice: 0.7539, decode.d1.loss_cls: 0.2670, decode.d1.loss_mask: 0.4895, decode.d1.loss_dice: 0.7264, decode.d2.loss_cls: 0.2405, decode.d2.loss_mask: 0.4795, decode.d2.loss_dice: 0.7067, decode.d3.loss_cls: 0.2229, decode.d3.loss_mask: 0.4755, decode.d3.loss_dice: 0.6915, decode.d4.loss_cls: 0.2159, decode.d4.loss_mask: 0.4758, decode.d4.loss_dice: 0.6961, decode.d5.loss_cls: 0.2108, decode.d5.loss_mask: 0.4739, decode.d5.loss_dice: 0.6916, decode.d6.loss_cls: 0.2106, decode.d6.loss_mask: 0.4733, decode.d6.loss_dice: 0.6932, decode.d7.loss_cls: 0.2034, decode.d7.loss_mask: 0.4726, decode.d7.loss_dice: 0.6958, decode.d8.loss_cls: 0.2024, decode.d8.loss_mask: 0.4732, decode.d8.loss_dice: 0.6936, loss: 15.0091, grad_norm: 47.2651 2023-11-12 11:35:15,015 - mmseg - INFO - Iter [91950/160000] lr: 4.253e-05, eta: 9:29:48, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1867, decode.loss_mask: 0.4686, decode.loss_dice: 0.6972, decode.d0.loss_cls: 1.1720, decode.d0.loss_mask: 0.5011, decode.d0.loss_dice: 0.7512, decode.d1.loss_cls: 0.2520, decode.d1.loss_mask: 0.4827, decode.d1.loss_dice: 0.7251, decode.d2.loss_cls: 0.2163, decode.d2.loss_mask: 0.4734, decode.d2.loss_dice: 0.7113, decode.d3.loss_cls: 0.1971, decode.d3.loss_mask: 0.4712, decode.d3.loss_dice: 0.7002, decode.d4.loss_cls: 0.1923, decode.d4.loss_mask: 0.4681, decode.d4.loss_dice: 0.6999, decode.d5.loss_cls: 0.1917, decode.d5.loss_mask: 0.4676, decode.d5.loss_dice: 0.6966, decode.d6.loss_cls: 0.1902, decode.d6.loss_mask: 0.4669, decode.d6.loss_dice: 0.6997, decode.d7.loss_cls: 0.1818, decode.d7.loss_mask: 0.4685, decode.d7.loss_dice: 0.6971, decode.d8.loss_cls: 0.1802, decode.d8.loss_mask: 0.4685, decode.d8.loss_dice: 0.7009, loss: 14.7766, grad_norm: 44.1395 2023-11-12 11:35:38,946 - mmseg - INFO - Saving checkpoint at 92000 iterations 2023-11-12 11:35:43,475 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 11:35:43,475 - mmseg - INFO - Iter [92000/160000] lr: 4.250e-05, eta: 9:29:25, time: 0.569, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1911, decode.loss_mask: 0.4637, decode.loss_dice: 0.6790, decode.d0.loss_cls: 1.1778, decode.d0.loss_mask: 0.4950, decode.d0.loss_dice: 0.7378, decode.d1.loss_cls: 0.2508, decode.d1.loss_mask: 0.4785, decode.d1.loss_dice: 0.7125, decode.d2.loss_cls: 0.2228, decode.d2.loss_mask: 0.4697, decode.d2.loss_dice: 0.6974, decode.d3.loss_cls: 0.2056, decode.d3.loss_mask: 0.4634, decode.d3.loss_dice: 0.6805, decode.d4.loss_cls: 0.1958, decode.d4.loss_mask: 0.4649, decode.d4.loss_dice: 0.6782, decode.d5.loss_cls: 0.1946, decode.d5.loss_mask: 0.4639, decode.d5.loss_dice: 0.6781, decode.d6.loss_cls: 0.1936, decode.d6.loss_mask: 0.4618, decode.d6.loss_dice: 0.6797, decode.d7.loss_cls: 0.1906, decode.d7.loss_mask: 0.4625, decode.d7.loss_dice: 0.6786, decode.d8.loss_cls: 0.1889, decode.d8.loss_mask: 0.4642, decode.d8.loss_dice: 0.6793, loss: 14.6001, grad_norm: 49.8828 2023-11-12 11:36:02,380 - mmseg - INFO - per class results: 2023-11-12 11:36:02,385 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.3 | 87.25 | | building | 82.16 | 91.42 | | sky | 94.88 | 97.16 | | floor | 82.78 | 91.03 | | tree | 75.31 | 88.16 | | ceiling | 84.46 | 91.79 | | road | 84.81 | 92.21 | | bed | 90.4 | 96.32 | | windowpane | 62.87 | 82.14 | | grass | 69.06 | 82.84 | | cabinet | 64.08 | 74.92 | | sidewalk | 68.71 | 81.59 | | person | 84.48 | 93.49 | | earth | 40.64 | 54.97 | | door | 49.41 | 63.23 | | table | 68.41 | 80.7 | | mountain | 63.55 | 79.18 | | plant | 53.34 | 66.86 | | curtain | 78.76 | 87.65 | | chair | 62.95 | 78.8 | | car | 85.21 | 91.46 | | water | 64.54 | 81.11 | | painting | 76.25 | 90.56 | | sofa | 68.38 | 81.61 | | shelf | 43.78 | 64.33 | | house | 34.19 | 51.32 | | sea | 81.7 | 90.04 | | mirror | 67.3 | 83.78 | | rug | 58.31 | 66.8 | | field | 29.16 | 46.52 | | armchair | 44.72 | 61.95 | | seat | 65.0 | 81.98 | | fence | 45.83 | 67.93 | | desk | 54.46 | 78.34 | | rock | 47.68 | 68.66 | | wardrobe | 44.22 | 64.03 | | lamp | 70.76 | 81.31 | | bathtub | 70.95 | 84.19 | | railing | 36.46 | 52.05 | | cushion | 62.77 | 76.16 | | base | 35.32 | 62.01 | | box | 29.53 | 44.22 | | column | 49.48 | 69.6 | | signboard | 38.92 | 56.56 | | chest of drawers | 42.55 | 69.52 | | counter | 28.14 | 33.3 | | sand | 39.23 | 46.25 | | sink | 78.04 | 86.18 | | skyscraper | 36.79 | 48.01 | | fireplace | 76.81 | 88.38 | | refrigerator | 79.01 | 84.44 | | grandstand | 37.51 | 70.06 | | path | 27.76 | 40.61 | | stairs | 31.99 | 43.76 | | runway | 66.47 | 67.72 | | case | 71.11 | 79.67 | | pool table | 95.07 | 97.73 | | pillow | 59.1 | 69.04 | | screen door | 61.86 | 78.18 | | stairway | 32.76 | 40.48 | | river | 16.38 | 23.73 | | bridge | 74.96 | 86.69 | | bookcase | 40.25 | 60.75 | | blind | 45.91 | 53.04 | | coffee table | 67.44 | 84.57 | | toilet | 88.3 | 91.45 | | flower | 43.56 | 57.14 | | book | 49.8 | 76.7 | | hill | 4.86 | 11.07 | | bench | 52.7 | 63.44 | | countertop | 45.09 | 75.07 | | stove | 81.39 | 86.41 | | palm | 51.23 | 70.46 | | kitchen island | 55.04 | 87.42 | | computer | 70.36 | 76.09 | | swivel chair | 43.92 | 61.25 | | boat | 45.06 | 53.69 | | bar | 32.15 | 40.89 | | arcade machine | 76.17 | 82.2 | | hovel | 36.11 | 53.64 | | bus | 93.36 | 96.97 | | towel | 68.13 | 81.66 | | light | 61.5 | 76.54 | | truck | 31.59 | 58.18 | | tower | 30.54 | 55.43 | | chandelier | 72.47 | 85.99 | | awning | 34.81 | 47.23 | | streetlight | 43.26 | 60.1 | | booth | 31.64 | 39.84 | | television receiver | 70.74 | 81.03 | | airplane | 63.52 | 69.54 | | dirt track | 3.0 | 23.44 | | apparel | 32.29 | 48.71 | | pole | 33.9 | 53.99 | | land | 6.27 | 8.87 | | bannister | 19.54 | 28.74 | | escalator | 20.68 | 25.69 | | ottoman | 51.7 | 69.33 | | bottle | 31.48 | 42.39 | | buffet | 47.25 | 54.21 | | poster | 28.56 | 51.85 | | stage | 17.52 | 33.94 | | van | 49.23 | 75.18 | | ship | 7.45 | 10.71 | | fountain | 21.4 | 21.87 | | conveyer belt | 54.17 | 74.59 | | canopy | 32.93 | 46.96 | | washer | 71.09 | 74.13 | | plaything | 41.09 | 67.69 | | swimming pool | 47.8 | 51.85 | | stool | 45.6 | 77.06 | | barrel | 64.82 | 98.09 | | basket | 37.24 | 46.01 | | waterfall | 44.51 | 64.51 | | tent | 95.75 | 98.19 | | bag | 20.83 | 27.72 | | minibike | 75.25 | 92.95 | | cradle | 77.93 | 97.51 | | oven | 24.55 | 67.18 | | ball | 20.18 | 24.44 | | food | 60.45 | 75.18 | | step | 15.52 | 27.89 | | tank | 53.0 | 66.1 | | trade name | 28.68 | 35.73 | | microwave | 41.49 | 45.98 | | pot | 50.54 | 59.54 | | animal | 58.27 | 59.63 | | bicycle | 59.21 | 80.72 | | lake | 38.19 | 63.65 | | dishwasher | 79.11 | 84.75 | | screen | 62.01 | 94.61 | | blanket | 18.21 | 23.52 | | sculpture | 65.41 | 87.42 | | hood | 74.9 | 90.12 | | sconce | 52.84 | 69.41 | | vase | 48.57 | 70.34 | | traffic light | 38.63 | 61.38 | | tray | 17.39 | 33.15 | | ashcan | 50.96 | 70.26 | | fan | 69.4 | 85.33 | | pier | 36.09 | 44.23 | | crt screen | 4.18 | 12.16 | | plate | 57.51 | 72.6 | | monitor | 9.21 | 12.62 | | bulletin board | 57.06 | 72.73 | | shower | 2.54 | 24.98 | | radiator | 72.25 | 84.55 | | glass | 21.65 | 23.73 | | clock | 37.94 | 49.93 | | flag | 45.27 | 50.9 | +---------------------+-------+-------+ 2023-11-12 11:36:02,385 - mmseg - INFO - Summary: 2023-11-12 11:36:02,386 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.91 | 51.21 | 64.94 | +-------+-------+-------+ 2023-11-12 11:36:02,386 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 11:36:02,387 - mmseg - INFO - Iter(val) [250] aAcc: 0.8391, mIoU: 0.5121, mAcc: 0.6494, IoU.wall: 0.7930, IoU.building: 0.8216, IoU.sky: 0.9488, IoU.floor: 0.8278, IoU.tree: 0.7531, IoU.ceiling: 0.8446, IoU.road: 0.8481, IoU.bed : 0.9040, IoU.windowpane: 0.6287, IoU.grass: 0.6906, IoU.cabinet: 0.6408, IoU.sidewalk: 0.6871, IoU.person: 0.8448, IoU.earth: 0.4064, IoU.door: 0.4941, IoU.table: 0.6841, IoU.mountain: 0.6355, IoU.plant: 0.5334, IoU.curtain: 0.7876, IoU.chair: 0.6295, IoU.car: 0.8521, IoU.water: 0.6454, IoU.painting: 0.7625, IoU.sofa: 0.6838, IoU.shelf: 0.4378, IoU.house: 0.3419, IoU.sea: 0.8170, IoU.mirror: 0.6730, IoU.rug: 0.5831, IoU.field: 0.2916, IoU.armchair: 0.4472, IoU.seat: 0.6500, IoU.fence: 0.4583, IoU.desk: 0.5446, IoU.rock: 0.4768, IoU.wardrobe: 0.4422, IoU.lamp: 0.7076, IoU.bathtub: 0.7095, IoU.railing: 0.3646, IoU.cushion: 0.6277, IoU.base: 0.3532, IoU.box: 0.2953, IoU.column: 0.4948, IoU.signboard: 0.3892, IoU.chest of drawers: 0.4255, IoU.counter: 0.2814, IoU.sand: 0.3923, IoU.sink: 0.7804, IoU.skyscraper: 0.3679, IoU.fireplace: 0.7681, IoU.refrigerator: 0.7901, IoU.grandstand: 0.3751, IoU.path: 0.2776, IoU.stairs: 0.3199, IoU.runway: 0.6647, IoU.case: 0.7111, IoU.pool table: 0.9507, IoU.pillow: 0.5910, IoU.screen door: 0.6186, IoU.stairway: 0.3276, IoU.river: 0.1638, IoU.bridge: 0.7496, IoU.bookcase: 0.4025, IoU.blind: 0.4591, IoU.coffee table: 0.6744, IoU.toilet: 0.8830, IoU.flower: 0.4356, IoU.book: 0.4980, IoU.hill: 0.0486, IoU.bench: 0.5270, IoU.countertop: 0.4509, IoU.stove: 0.8139, IoU.palm: 0.5123, IoU.kitchen island: 0.5504, IoU.computer: 0.7036, IoU.swivel chair: 0.4392, IoU.boat: 0.4506, IoU.bar: 0.3215, IoU.arcade machine: 0.7617, IoU.hovel: 0.3611, IoU.bus: 0.9336, IoU.towel: 0.6813, IoU.light: 0.6150, IoU.truck: 0.3159, IoU.tower: 0.3054, IoU.chandelier: 0.7247, IoU.awning: 0.3481, IoU.streetlight: 0.4326, IoU.booth: 0.3164, IoU.television receiver: 0.7074, IoU.airplane: 0.6352, IoU.dirt track: 0.0300, IoU.apparel: 0.3229, IoU.pole: 0.3390, IoU.land: 0.0627, IoU.bannister: 0.1954, IoU.escalator: 0.2068, IoU.ottoman: 0.5170, IoU.bottle: 0.3148, IoU.buffet: 0.4725, IoU.poster: 0.2856, IoU.stage: 0.1752, IoU.van: 0.4923, IoU.ship: 0.0745, IoU.fountain: 0.2140, IoU.conveyer belt: 0.5417, IoU.canopy: 0.3293, IoU.washer: 0.7109, IoU.plaything: 0.4109, IoU.swimming pool: 0.4780, IoU.stool: 0.4560, IoU.barrel: 0.6482, IoU.basket: 0.3724, IoU.waterfall: 0.4451, IoU.tent: 0.9575, IoU.bag: 0.2083, IoU.minibike: 0.7525, IoU.cradle: 0.7793, IoU.oven: 0.2455, IoU.ball: 0.2018, IoU.food: 0.6045, IoU.step: 0.1552, IoU.tank: 0.5300, IoU.trade name: 0.2868, IoU.microwave: 0.4149, IoU.pot: 0.5054, IoU.animal: 0.5827, IoU.bicycle: 0.5921, IoU.lake: 0.3819, IoU.dishwasher: 0.7911, IoU.screen: 0.6201, IoU.blanket: 0.1821, IoU.sculpture: 0.6541, IoU.hood: 0.7490, IoU.sconce: 0.5284, IoU.vase: 0.4857, IoU.traffic light: 0.3863, IoU.tray: 0.1739, IoU.ashcan: 0.5096, IoU.fan: 0.6940, IoU.pier: 0.3609, IoU.crt screen: 0.0418, IoU.plate: 0.5751, IoU.monitor: 0.0921, IoU.bulletin board: 0.5706, IoU.shower: 0.0254, IoU.radiator: 0.7225, IoU.glass: 0.2165, IoU.clock: 0.3794, IoU.flag: 0.4527, Acc.wall: 0.8725, Acc.building: 0.9142, Acc.sky: 0.9716, Acc.floor: 0.9103, Acc.tree: 0.8816, Acc.ceiling: 0.9179, Acc.road: 0.9221, Acc.bed : 0.9632, Acc.windowpane: 0.8214, Acc.grass: 0.8284, Acc.cabinet: 0.7492, Acc.sidewalk: 0.8159, Acc.person: 0.9349, Acc.earth: 0.5497, Acc.door: 0.6323, Acc.table: 0.8070, Acc.mountain: 0.7918, Acc.plant: 0.6686, Acc.curtain: 0.8765, Acc.chair: 0.7880, Acc.car: 0.9146, Acc.water: 0.8111, Acc.painting: 0.9056, Acc.sofa: 0.8161, Acc.shelf: 0.6433, Acc.house: 0.5132, Acc.sea: 0.9004, Acc.mirror: 0.8378, Acc.rug: 0.6680, Acc.field: 0.4652, Acc.armchair: 0.6195, Acc.seat: 0.8198, Acc.fence: 0.6793, Acc.desk: 0.7834, Acc.rock: 0.6866, Acc.wardrobe: 0.6403, Acc.lamp: 0.8131, Acc.bathtub: 0.8419, Acc.railing: 0.5205, Acc.cushion: 0.7616, Acc.base: 0.6201, Acc.box: 0.4422, Acc.column: 0.6960, Acc.signboard: 0.5656, Acc.chest of drawers: 0.6952, Acc.counter: 0.3330, Acc.sand: 0.4625, Acc.sink: 0.8618, Acc.skyscraper: 0.4801, Acc.fireplace: 0.8838, Acc.refrigerator: 0.8444, Acc.grandstand: 0.7006, Acc.path: 0.4061, Acc.stairs: 0.4376, Acc.runway: 0.6772, Acc.case: 0.7967, Acc.pool table: 0.9773, Acc.pillow: 0.6904, Acc.screen door: 0.7818, Acc.stairway: 0.4048, Acc.river: 0.2373, Acc.bridge: 0.8669, Acc.bookcase: 0.6075, Acc.blind: 0.5304, Acc.coffee table: 0.8457, Acc.toilet: 0.9145, Acc.flower: 0.5714, Acc.book: 0.7670, Acc.hill: 0.1107, Acc.bench: 0.6344, Acc.countertop: 0.7507, Acc.stove: 0.8641, Acc.palm: 0.7046, Acc.kitchen island: 0.8742, Acc.computer: 0.7609, Acc.swivel chair: 0.6125, Acc.boat: 0.5369, Acc.bar: 0.4089, Acc.arcade machine: 0.8220, Acc.hovel: 0.5364, Acc.bus: 0.9697, Acc.towel: 0.8166, Acc.light: 0.7654, Acc.truck: 0.5818, Acc.tower: 0.5543, Acc.chandelier: 0.8599, Acc.awning: 0.4723, Acc.streetlight: 0.6010, Acc.booth: 0.3984, Acc.television receiver: 0.8103, Acc.airplane: 0.6954, Acc.dirt track: 0.2344, Acc.apparel: 0.4871, Acc.pole: 0.5399, Acc.land: 0.0887, Acc.bannister: 0.2874, Acc.escalator: 0.2569, Acc.ottoman: 0.6933, Acc.bottle: 0.4239, Acc.buffet: 0.5421, Acc.poster: 0.5185, Acc.stage: 0.3394, Acc.van: 0.7518, Acc.ship: 0.1071, Acc.fountain: 0.2187, Acc.conveyer belt: 0.7459, Acc.canopy: 0.4696, Acc.washer: 0.7413, Acc.plaything: 0.6769, Acc.swimming pool: 0.5185, Acc.stool: 0.7706, Acc.barrel: 0.9809, Acc.basket: 0.4601, Acc.waterfall: 0.6451, Acc.tent: 0.9819, Acc.bag: 0.2772, Acc.minibike: 0.9295, Acc.cradle: 0.9751, Acc.oven: 0.6718, Acc.ball: 0.2444, Acc.food: 0.7518, Acc.step: 0.2789, Acc.tank: 0.6610, Acc.trade name: 0.3573, Acc.microwave: 0.4598, Acc.pot: 0.5954, Acc.animal: 0.5963, Acc.bicycle: 0.8072, Acc.lake: 0.6365, Acc.dishwasher: 0.8475, Acc.screen: 0.9461, Acc.blanket: 0.2352, Acc.sculpture: 0.8742, Acc.hood: 0.9012, Acc.sconce: 0.6941, Acc.vase: 0.7034, Acc.traffic light: 0.6138, Acc.tray: 0.3315, Acc.ashcan: 0.7026, Acc.fan: 0.8533, Acc.pier: 0.4423, Acc.crt screen: 0.1216, Acc.plate: 0.7260, Acc.monitor: 0.1262, Acc.bulletin board: 0.7273, Acc.shower: 0.2498, Acc.radiator: 0.8455, Acc.glass: 0.2373, Acc.clock: 0.4993, Acc.flag: 0.5090 2023-11-12 11:36:26,349 - mmseg - INFO - Iter [92050/160000] lr: 4.247e-05, eta: 9:29:13, time: 0.857, data_time: 0.391, memory: 41146, decode.loss_cls: 0.2246, decode.loss_mask: 0.4712, decode.loss_dice: 0.6912, decode.d0.loss_cls: 1.2050, decode.d0.loss_mask: 0.5076, decode.d0.loss_dice: 0.7527, decode.d1.loss_cls: 0.2836, decode.d1.loss_mask: 0.4916, decode.d1.loss_dice: 0.7319, decode.d2.loss_cls: 0.2513, decode.d2.loss_mask: 0.4786, decode.d2.loss_dice: 0.7074, decode.d3.loss_cls: 0.2379, decode.d3.loss_mask: 0.4730, decode.d3.loss_dice: 0.6921, decode.d4.loss_cls: 0.2293, decode.d4.loss_mask: 0.4727, decode.d4.loss_dice: 0.6935, decode.d5.loss_cls: 0.2277, decode.d5.loss_mask: 0.4713, decode.d5.loss_dice: 0.6920, decode.d6.loss_cls: 0.2305, decode.d6.loss_mask: 0.4684, decode.d6.loss_dice: 0.6845, decode.d7.loss_cls: 0.2297, decode.d7.loss_mask: 0.4700, decode.d7.loss_dice: 0.6897, decode.d8.loss_cls: 0.2269, decode.d8.loss_mask: 0.4704, decode.d8.loss_dice: 0.6884, loss: 15.1446, grad_norm: 48.4388 2023-11-12 11:36:50,217 - mmseg - INFO - Iter [92100/160000] lr: 4.244e-05, eta: 9:28:47, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2025, decode.loss_mask: 0.4577, decode.loss_dice: 0.6910, decode.d0.loss_cls: 1.1740, decode.d0.loss_mask: 0.4888, decode.d0.loss_dice: 0.7468, decode.d1.loss_cls: 0.2731, decode.d1.loss_mask: 0.4676, decode.d1.loss_dice: 0.7241, decode.d2.loss_cls: 0.2330, decode.d2.loss_mask: 0.4599, decode.d2.loss_dice: 0.7044, decode.d3.loss_cls: 0.2242, decode.d3.loss_mask: 0.4580, decode.d3.loss_dice: 0.6946, decode.d4.loss_cls: 0.2146, decode.d4.loss_mask: 0.4572, decode.d4.loss_dice: 0.6925, decode.d5.loss_cls: 0.2138, decode.d5.loss_mask: 0.4569, decode.d5.loss_dice: 0.6933, decode.d6.loss_cls: 0.2090, decode.d6.loss_mask: 0.4575, decode.d6.loss_dice: 0.6865, decode.d7.loss_cls: 0.2062, decode.d7.loss_mask: 0.4586, decode.d7.loss_dice: 0.6887, decode.d8.loss_cls: 0.2031, decode.d8.loss_mask: 0.4576, decode.d8.loss_dice: 0.6887, loss: 14.7839, grad_norm: 47.4489 2023-11-12 11:37:14,106 - mmseg - INFO - Iter [92150/160000] lr: 4.241e-05, eta: 9:28:21, time: 0.478, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2183, decode.loss_mask: 0.4325, decode.loss_dice: 0.6951, decode.d0.loss_cls: 1.2238, decode.d0.loss_mask: 0.4605, decode.d0.loss_dice: 0.7648, decode.d1.loss_cls: 0.2844, decode.d1.loss_mask: 0.4485, decode.d1.loss_dice: 0.7312, decode.d2.loss_cls: 0.2566, decode.d2.loss_mask: 0.4398, decode.d2.loss_dice: 0.7089, decode.d3.loss_cls: 0.2403, decode.d3.loss_mask: 0.4347, decode.d3.loss_dice: 0.6989, decode.d4.loss_cls: 0.2304, decode.d4.loss_mask: 0.4340, decode.d4.loss_dice: 0.7024, decode.d5.loss_cls: 0.2250, decode.d5.loss_mask: 0.4343, decode.d5.loss_dice: 0.6959, decode.d6.loss_cls: 0.2262, decode.d6.loss_mask: 0.4354, decode.d6.loss_dice: 0.6940, decode.d7.loss_cls: 0.2197, decode.d7.loss_mask: 0.4353, decode.d7.loss_dice: 0.6970, decode.d8.loss_cls: 0.2184, decode.d8.loss_mask: 0.4321, decode.d8.loss_dice: 0.6933, loss: 14.8116, grad_norm: 45.2624 2023-11-12 11:37:40,752 - mmseg - INFO - Iter [92200/160000] lr: 4.238e-05, eta: 9:27:57, time: 0.532, data_time: 0.057, memory: 41146, decode.loss_cls: 0.1962, decode.loss_mask: 0.4658, decode.loss_dice: 0.6928, decode.d0.loss_cls: 1.1795, decode.d0.loss_mask: 0.5008, decode.d0.loss_dice: 0.7509, decode.d1.loss_cls: 0.2705, decode.d1.loss_mask: 0.4785, decode.d1.loss_dice: 0.7208, decode.d2.loss_cls: 0.2355, decode.d2.loss_mask: 0.4710, decode.d2.loss_dice: 0.7081, decode.d3.loss_cls: 0.2211, decode.d3.loss_mask: 0.4681, decode.d3.loss_dice: 0.6969, decode.d4.loss_cls: 0.2100, decode.d4.loss_mask: 0.4679, decode.d4.loss_dice: 0.6954, decode.d5.loss_cls: 0.2086, decode.d5.loss_mask: 0.4687, decode.d5.loss_dice: 0.6967, decode.d6.loss_cls: 0.2060, decode.d6.loss_mask: 0.4656, decode.d6.loss_dice: 0.6880, decode.d7.loss_cls: 0.1985, decode.d7.loss_mask: 0.4658, decode.d7.loss_dice: 0.6949, decode.d8.loss_cls: 0.1971, decode.d8.loss_mask: 0.4655, decode.d8.loss_dice: 0.6927, loss: 14.8780, grad_norm: 48.4122 2023-11-12 11:38:04,589 - mmseg - INFO - Iter [92250/160000] lr: 4.234e-05, eta: 9:27:31, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1975, decode.loss_mask: 0.4515, decode.loss_dice: 0.6724, decode.d0.loss_cls: 1.1605, decode.d0.loss_mask: 0.4806, decode.d0.loss_dice: 0.7355, decode.d1.loss_cls: 0.2688, decode.d1.loss_mask: 0.4651, decode.d1.loss_dice: 0.7086, decode.d2.loss_cls: 0.2257, decode.d2.loss_mask: 0.4586, decode.d2.loss_dice: 0.6849, decode.d3.loss_cls: 0.2148, decode.d3.loss_mask: 0.4555, decode.d3.loss_dice: 0.6766, decode.d4.loss_cls: 0.2035, decode.d4.loss_mask: 0.4528, decode.d4.loss_dice: 0.6741, decode.d5.loss_cls: 0.2018, decode.d5.loss_mask: 0.4557, decode.d5.loss_dice: 0.6772, decode.d6.loss_cls: 0.1972, decode.d6.loss_mask: 0.4552, decode.d6.loss_dice: 0.6720, decode.d7.loss_cls: 0.1923, decode.d7.loss_mask: 0.4538, decode.d7.loss_dice: 0.6744, decode.d8.loss_cls: 0.1989, decode.d8.loss_mask: 0.4535, decode.d8.loss_dice: 0.6714, loss: 14.4904, grad_norm: 44.7338 2023-11-12 11:38:28,345 - mmseg - INFO - Iter [92300/160000] lr: 4.231e-05, eta: 9:27:05, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2090, decode.loss_mask: 0.4702, decode.loss_dice: 0.6817, decode.d0.loss_cls: 1.1865, decode.d0.loss_mask: 0.5062, decode.d0.loss_dice: 0.7448, decode.d1.loss_cls: 0.2722, decode.d1.loss_mask: 0.4856, decode.d1.loss_dice: 0.7196, decode.d2.loss_cls: 0.2364, decode.d2.loss_mask: 0.4759, decode.d2.loss_dice: 0.6960, decode.d3.loss_cls: 0.2276, decode.d3.loss_mask: 0.4714, decode.d3.loss_dice: 0.6839, decode.d4.loss_cls: 0.2161, decode.d4.loss_mask: 0.4709, decode.d4.loss_dice: 0.6861, decode.d5.loss_cls: 0.2096, decode.d5.loss_mask: 0.4703, decode.d5.loss_dice: 0.6853, decode.d6.loss_cls: 0.2107, decode.d6.loss_mask: 0.4699, decode.d6.loss_dice: 0.6805, decode.d7.loss_cls: 0.2052, decode.d7.loss_mask: 0.4711, decode.d7.loss_dice: 0.6836, decode.d8.loss_cls: 0.2098, decode.d8.loss_mask: 0.4693, decode.d8.loss_dice: 0.6769, loss: 14.8821, grad_norm: 50.0157 2023-11-12 11:38:52,177 - mmseg - INFO - Iter [92350/160000] lr: 4.228e-05, eta: 9:26:39, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2100, decode.loss_mask: 0.4768, decode.loss_dice: 0.7053, decode.d0.loss_cls: 1.2015, decode.d0.loss_mask: 0.5152, decode.d0.loss_dice: 0.7780, decode.d1.loss_cls: 0.2777, decode.d1.loss_mask: 0.4952, decode.d1.loss_dice: 0.7444, decode.d2.loss_cls: 0.2379, decode.d2.loss_mask: 0.4867, decode.d2.loss_dice: 0.7265, decode.d3.loss_cls: 0.2292, decode.d3.loss_mask: 0.4796, decode.d3.loss_dice: 0.7127, decode.d4.loss_cls: 0.2169, decode.d4.loss_mask: 0.4806, decode.d4.loss_dice: 0.7171, decode.d5.loss_cls: 0.2154, decode.d5.loss_mask: 0.4782, decode.d5.loss_dice: 0.7114, decode.d6.loss_cls: 0.2095, decode.d6.loss_mask: 0.4787, decode.d6.loss_dice: 0.7079, decode.d7.loss_cls: 0.2109, decode.d7.loss_mask: 0.4778, decode.d7.loss_dice: 0.7076, decode.d8.loss_cls: 0.2070, decode.d8.loss_mask: 0.4776, decode.d8.loss_dice: 0.7122, loss: 15.2853, grad_norm: 52.9421 2023-11-12 11:39:15,989 - mmseg - INFO - Iter [92400/160000] lr: 4.225e-05, eta: 9:26:13, time: 0.478, data_time: 0.015, memory: 41146, decode.loss_cls: 0.1943, decode.loss_mask: 0.4641, decode.loss_dice: 0.6829, decode.d0.loss_cls: 1.1789, decode.d0.loss_mask: 0.5030, decode.d0.loss_dice: 0.7392, decode.d1.loss_cls: 0.2601, decode.d1.loss_mask: 0.4844, decode.d1.loss_dice: 0.7228, decode.d2.loss_cls: 0.2303, decode.d2.loss_mask: 0.4742, decode.d2.loss_dice: 0.6961, decode.d3.loss_cls: 0.2157, decode.d3.loss_mask: 0.4700, decode.d3.loss_dice: 0.6858, decode.d4.loss_cls: 0.2113, decode.d4.loss_mask: 0.4665, decode.d4.loss_dice: 0.6831, decode.d5.loss_cls: 0.2036, decode.d5.loss_mask: 0.4662, decode.d5.loss_dice: 0.6877, decode.d6.loss_cls: 0.2017, decode.d6.loss_mask: 0.4669, decode.d6.loss_dice: 0.6818, decode.d7.loss_cls: 0.1984, decode.d7.loss_mask: 0.4640, decode.d7.loss_dice: 0.6868, decode.d8.loss_cls: 0.1948, decode.d8.loss_mask: 0.4634, decode.d8.loss_dice: 0.6845, loss: 14.7625, grad_norm: 47.8492 2023-11-12 11:39:39,874 - mmseg - INFO - Iter [92450/160000] lr: 4.222e-05, eta: 9:25:47, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1912, decode.loss_mask: 0.4277, decode.loss_dice: 0.6771, decode.d0.loss_cls: 1.1804, decode.d0.loss_mask: 0.4557, decode.d0.loss_dice: 0.7369, decode.d1.loss_cls: 0.2502, decode.d1.loss_mask: 0.4367, decode.d1.loss_dice: 0.7101, decode.d2.loss_cls: 0.2210, decode.d2.loss_mask: 0.4312, decode.d2.loss_dice: 0.6937, decode.d3.loss_cls: 0.2061, decode.d3.loss_mask: 0.4291, decode.d3.loss_dice: 0.6806, decode.d4.loss_cls: 0.1983, decode.d4.loss_mask: 0.4281, decode.d4.loss_dice: 0.6819, decode.d5.loss_cls: 0.1960, decode.d5.loss_mask: 0.4299, decode.d5.loss_dice: 0.6824, decode.d6.loss_cls: 0.1917, decode.d6.loss_mask: 0.4294, decode.d6.loss_dice: 0.6795, decode.d7.loss_cls: 0.1870, decode.d7.loss_mask: 0.4299, decode.d7.loss_dice: 0.6806, decode.d8.loss_cls: 0.1887, decode.d8.loss_mask: 0.4288, decode.d8.loss_dice: 0.6817, loss: 14.2417, grad_norm: 43.7396 2023-11-12 11:40:04,062 - mmseg - INFO - Iter [92500/160000] lr: 4.219e-05, eta: 9:25:21, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2154, decode.loss_mask: 0.4487, decode.loss_dice: 0.6919, decode.d0.loss_cls: 1.2297, decode.d0.loss_mask: 0.4857, decode.d0.loss_dice: 0.7478, decode.d1.loss_cls: 0.2757, decode.d1.loss_mask: 0.4656, decode.d1.loss_dice: 0.7264, decode.d2.loss_cls: 0.2528, decode.d2.loss_mask: 0.4585, decode.d2.loss_dice: 0.7027, decode.d3.loss_cls: 0.2304, decode.d3.loss_mask: 0.4534, decode.d3.loss_dice: 0.6952, decode.d4.loss_cls: 0.2198, decode.d4.loss_mask: 0.4538, decode.d4.loss_dice: 0.6918, decode.d5.loss_cls: 0.2186, decode.d5.loss_mask: 0.4518, decode.d5.loss_dice: 0.6924, decode.d6.loss_cls: 0.2149, decode.d6.loss_mask: 0.4491, decode.d6.loss_dice: 0.6900, decode.d7.loss_cls: 0.2157, decode.d7.loss_mask: 0.4493, decode.d7.loss_dice: 0.6894, decode.d8.loss_cls: 0.2107, decode.d8.loss_mask: 0.4485, decode.d8.loss_dice: 0.6900, loss: 14.8656, grad_norm: 45.1104 2023-11-12 11:40:27,843 - mmseg - INFO - Iter [92550/160000] lr: 4.216e-05, eta: 9:24:55, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2016, decode.loss_mask: 0.4688, decode.loss_dice: 0.6946, decode.d0.loss_cls: 1.1912, decode.d0.loss_mask: 0.5019, decode.d0.loss_dice: 0.7591, decode.d1.loss_cls: 0.2647, decode.d1.loss_mask: 0.4853, decode.d1.loss_dice: 0.7387, decode.d2.loss_cls: 0.2334, decode.d2.loss_mask: 0.4753, decode.d2.loss_dice: 0.7152, decode.d3.loss_cls: 0.2203, decode.d3.loss_mask: 0.4704, decode.d3.loss_dice: 0.7024, decode.d4.loss_cls: 0.2123, decode.d4.loss_mask: 0.4708, decode.d4.loss_dice: 0.7019, decode.d5.loss_cls: 0.2084, decode.d5.loss_mask: 0.4716, decode.d5.loss_dice: 0.7027, decode.d6.loss_cls: 0.2062, decode.d6.loss_mask: 0.4705, decode.d6.loss_dice: 0.6992, decode.d7.loss_cls: 0.2035, decode.d7.loss_mask: 0.4692, decode.d7.loss_dice: 0.6973, decode.d8.loss_cls: 0.2020, decode.d8.loss_mask: 0.4683, decode.d8.loss_dice: 0.6967, loss: 15.0034, grad_norm: 51.5514 2023-11-12 11:40:51,827 - mmseg - INFO - Iter [92600/160000] lr: 4.213e-05, eta: 9:24:29, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2137, decode.loss_mask: 0.4693, decode.loss_dice: 0.7088, decode.d0.loss_cls: 1.2326, decode.d0.loss_mask: 0.4993, decode.d0.loss_dice: 0.7710, decode.d1.loss_cls: 0.2826, decode.d1.loss_mask: 0.4851, decode.d1.loss_dice: 0.7446, decode.d2.loss_cls: 0.2456, decode.d2.loss_mask: 0.4725, decode.d2.loss_dice: 0.7277, decode.d3.loss_cls: 0.2299, decode.d3.loss_mask: 0.4722, decode.d3.loss_dice: 0.7101, decode.d4.loss_cls: 0.2165, decode.d4.loss_mask: 0.4726, decode.d4.loss_dice: 0.7138, decode.d5.loss_cls: 0.2139, decode.d5.loss_mask: 0.4718, decode.d5.loss_dice: 0.7139, decode.d6.loss_cls: 0.2164, decode.d6.loss_mask: 0.4717, decode.d6.loss_dice: 0.7121, decode.d7.loss_cls: 0.2111, decode.d7.loss_mask: 0.4699, decode.d7.loss_dice: 0.7109, decode.d8.loss_cls: 0.2127, decode.d8.loss_mask: 0.4699, decode.d8.loss_dice: 0.7138, loss: 15.2563, grad_norm: 46.9788 2023-11-12 11:41:15,602 - mmseg - INFO - Iter [92650/160000] lr: 4.209e-05, eta: 9:24:03, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2100, decode.loss_mask: 0.4690, decode.loss_dice: 0.7100, decode.d0.loss_cls: 1.2009, decode.d0.loss_mask: 0.4955, decode.d0.loss_dice: 0.7743, decode.d1.loss_cls: 0.2809, decode.d1.loss_mask: 0.4818, decode.d1.loss_dice: 0.7500, decode.d2.loss_cls: 0.2437, decode.d2.loss_mask: 0.4757, decode.d2.loss_dice: 0.7296, decode.d3.loss_cls: 0.2250, decode.d3.loss_mask: 0.4716, decode.d3.loss_dice: 0.7142, decode.d4.loss_cls: 0.2206, decode.d4.loss_mask: 0.4691, decode.d4.loss_dice: 0.7126, decode.d5.loss_cls: 0.2188, decode.d5.loss_mask: 0.4678, decode.d5.loss_dice: 0.7081, decode.d6.loss_cls: 0.2141, decode.d6.loss_mask: 0.4689, decode.d6.loss_dice: 0.7084, decode.d7.loss_cls: 0.2121, decode.d7.loss_mask: 0.4678, decode.d7.loss_dice: 0.7094, decode.d8.loss_cls: 0.2080, decode.d8.loss_mask: 0.4692, decode.d8.loss_dice: 0.7114, loss: 15.1985, grad_norm: 46.5505 2023-11-12 11:41:39,463 - mmseg - INFO - Iter [92700/160000] lr: 4.206e-05, eta: 9:23:37, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2074, decode.loss_mask: 0.4642, decode.loss_dice: 0.7009, decode.d0.loss_cls: 1.2073, decode.d0.loss_mask: 0.5003, decode.d0.loss_dice: 0.7560, decode.d1.loss_cls: 0.2740, decode.d1.loss_mask: 0.4780, decode.d1.loss_dice: 0.7359, decode.d2.loss_cls: 0.2320, decode.d2.loss_mask: 0.4704, decode.d2.loss_dice: 0.7209, decode.d3.loss_cls: 0.2218, decode.d3.loss_mask: 0.4655, decode.d3.loss_dice: 0.7041, decode.d4.loss_cls: 0.2098, decode.d4.loss_mask: 0.4663, decode.d4.loss_dice: 0.7069, decode.d5.loss_cls: 0.2095, decode.d5.loss_mask: 0.4639, decode.d5.loss_dice: 0.7071, decode.d6.loss_cls: 0.2100, decode.d6.loss_mask: 0.4628, decode.d6.loss_dice: 0.7012, decode.d7.loss_cls: 0.2059, decode.d7.loss_mask: 0.4630, decode.d7.loss_dice: 0.7020, decode.d8.loss_cls: 0.2059, decode.d8.loss_mask: 0.4628, decode.d8.loss_dice: 0.7016, loss: 15.0176, grad_norm: 47.4454 2023-11-12 11:42:03,237 - mmseg - INFO - Iter [92750/160000] lr: 4.203e-05, eta: 9:23:10, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2050, decode.loss_mask: 0.4697, decode.loss_dice: 0.7058, decode.d0.loss_cls: 1.1896, decode.d0.loss_mask: 0.4992, decode.d0.loss_dice: 0.7693, decode.d1.loss_cls: 0.2699, decode.d1.loss_mask: 0.4843, decode.d1.loss_dice: 0.7356, decode.d2.loss_cls: 0.2371, decode.d2.loss_mask: 0.4770, decode.d2.loss_dice: 0.7219, decode.d3.loss_cls: 0.2222, decode.d3.loss_mask: 0.4691, decode.d3.loss_dice: 0.7088, decode.d4.loss_cls: 0.2145, decode.d4.loss_mask: 0.4696, decode.d4.loss_dice: 0.7090, decode.d5.loss_cls: 0.2174, decode.d5.loss_mask: 0.4687, decode.d5.loss_dice: 0.7070, decode.d6.loss_cls: 0.2128, decode.d6.loss_mask: 0.4699, decode.d6.loss_dice: 0.7007, decode.d7.loss_cls: 0.2115, decode.d7.loss_mask: 0.4680, decode.d7.loss_dice: 0.7001, decode.d8.loss_cls: 0.2020, decode.d8.loss_mask: 0.4704, decode.d8.loss_dice: 0.7044, loss: 15.0903, grad_norm: 48.9020 2023-11-12 11:42:27,112 - mmseg - INFO - Iter [92800/160000] lr: 4.200e-05, eta: 9:22:44, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1927, decode.loss_mask: 0.4592, decode.loss_dice: 0.6790, decode.d0.loss_cls: 1.1178, decode.d0.loss_mask: 0.4928, decode.d0.loss_dice: 0.7409, decode.d1.loss_cls: 0.2517, decode.d1.loss_mask: 0.4738, decode.d1.loss_dice: 0.7053, decode.d2.loss_cls: 0.2157, decode.d2.loss_mask: 0.4689, decode.d2.loss_dice: 0.6933, decode.d3.loss_cls: 0.2087, decode.d3.loss_mask: 0.4635, decode.d3.loss_dice: 0.6801, decode.d4.loss_cls: 0.2023, decode.d4.loss_mask: 0.4605, decode.d4.loss_dice: 0.6849, decode.d5.loss_cls: 0.1985, decode.d5.loss_mask: 0.4598, decode.d5.loss_dice: 0.6807, decode.d6.loss_cls: 0.2021, decode.d6.loss_mask: 0.4590, decode.d6.loss_dice: 0.6750, decode.d7.loss_cls: 0.1966, decode.d7.loss_mask: 0.4577, decode.d7.loss_dice: 0.6779, decode.d8.loss_cls: 0.1963, decode.d8.loss_mask: 0.4587, decode.d8.loss_dice: 0.6800, loss: 14.5334, grad_norm: 44.9342 2023-11-12 11:42:50,902 - mmseg - INFO - Iter [92850/160000] lr: 4.197e-05, eta: 9:22:18, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1843, decode.loss_mask: 0.4753, decode.loss_dice: 0.6981, decode.d0.loss_cls: 1.1789, decode.d0.loss_mask: 0.5109, decode.d0.loss_dice: 0.7613, decode.d1.loss_cls: 0.2501, decode.d1.loss_mask: 0.4942, decode.d1.loss_dice: 0.7335, decode.d2.loss_cls: 0.2143, decode.d2.loss_mask: 0.4821, decode.d2.loss_dice: 0.7176, decode.d3.loss_cls: 0.1961, decode.d3.loss_mask: 0.4779, decode.d3.loss_dice: 0.7015, decode.d4.loss_cls: 0.1886, decode.d4.loss_mask: 0.4781, decode.d4.loss_dice: 0.7009, decode.d5.loss_cls: 0.1846, decode.d5.loss_mask: 0.4765, decode.d5.loss_dice: 0.7026, decode.d6.loss_cls: 0.1862, decode.d6.loss_mask: 0.4747, decode.d6.loss_dice: 0.6963, decode.d7.loss_cls: 0.1821, decode.d7.loss_mask: 0.4763, decode.d7.loss_dice: 0.6987, decode.d8.loss_cls: 0.1840, decode.d8.loss_mask: 0.4755, decode.d8.loss_dice: 0.6924, loss: 14.8738, grad_norm: 48.1133 2023-11-12 11:43:14,993 - mmseg - INFO - Iter [92900/160000] lr: 4.194e-05, eta: 9:21:52, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2186, decode.loss_mask: 0.4710, decode.loss_dice: 0.6986, decode.d0.loss_cls: 1.1467, decode.d0.loss_mask: 0.5031, decode.d0.loss_dice: 0.7577, decode.d1.loss_cls: 0.2783, decode.d1.loss_mask: 0.4846, decode.d1.loss_dice: 0.7336, decode.d2.loss_cls: 0.2422, decode.d2.loss_mask: 0.4793, decode.d2.loss_dice: 0.7203, decode.d3.loss_cls: 0.2337, decode.d3.loss_mask: 0.4722, decode.d3.loss_dice: 0.7079, decode.d4.loss_cls: 0.2263, decode.d4.loss_mask: 0.4691, decode.d4.loss_dice: 0.7065, decode.d5.loss_cls: 0.2216, decode.d5.loss_mask: 0.4697, decode.d5.loss_dice: 0.7079, decode.d6.loss_cls: 0.2208, decode.d6.loss_mask: 0.4697, decode.d6.loss_dice: 0.7010, decode.d7.loss_cls: 0.2204, decode.d7.loss_mask: 0.4692, decode.d7.loss_dice: 0.6993, decode.d8.loss_cls: 0.2140, decode.d8.loss_mask: 0.4698, decode.d8.loss_dice: 0.6979, loss: 15.1108, grad_norm: 49.8326 2023-11-12 11:43:38,715 - mmseg - INFO - Iter [92950/160000] lr: 4.191e-05, eta: 9:21:26, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2008, decode.loss_mask: 0.4570, decode.loss_dice: 0.6925, decode.d0.loss_cls: 1.1723, decode.d0.loss_mask: 0.4886, decode.d0.loss_dice: 0.7533, decode.d1.loss_cls: 0.2632, decode.d1.loss_mask: 0.4730, decode.d1.loss_dice: 0.7220, decode.d2.loss_cls: 0.2297, decode.d2.loss_mask: 0.4626, decode.d2.loss_dice: 0.7128, decode.d3.loss_cls: 0.2122, decode.d3.loss_mask: 0.4619, decode.d3.loss_dice: 0.7037, decode.d4.loss_cls: 0.2063, decode.d4.loss_mask: 0.4611, decode.d4.loss_dice: 0.6980, decode.d5.loss_cls: 0.2025, decode.d5.loss_mask: 0.4588, decode.d5.loss_dice: 0.6971, decode.d6.loss_cls: 0.2005, decode.d6.loss_mask: 0.4599, decode.d6.loss_dice: 0.6938, decode.d7.loss_cls: 0.1963, decode.d7.loss_mask: 0.4592, decode.d7.loss_dice: 0.6930, decode.d8.loss_cls: 0.1983, decode.d8.loss_mask: 0.4573, decode.d8.loss_dice: 0.6928, loss: 14.7805, grad_norm: 44.7218 2023-11-12 11:44:02,456 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 11:44:02,456 - mmseg - INFO - Iter [93000/160000] lr: 4.188e-05, eta: 9:21:00, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1910, decode.loss_mask: 0.4650, decode.loss_dice: 0.6706, decode.d0.loss_cls: 1.1666, decode.d0.loss_mask: 0.4979, decode.d0.loss_dice: 0.7294, decode.d1.loss_cls: 0.2530, decode.d1.loss_mask: 0.4779, decode.d1.loss_dice: 0.7110, decode.d2.loss_cls: 0.2192, decode.d2.loss_mask: 0.4696, decode.d2.loss_dice: 0.6923, decode.d3.loss_cls: 0.2061, decode.d3.loss_mask: 0.4676, decode.d3.loss_dice: 0.6776, decode.d4.loss_cls: 0.1976, decode.d4.loss_mask: 0.4667, decode.d4.loss_dice: 0.6786, decode.d5.loss_cls: 0.1975, decode.d5.loss_mask: 0.4667, decode.d5.loss_dice: 0.6767, decode.d6.loss_cls: 0.1968, decode.d6.loss_mask: 0.4660, decode.d6.loss_dice: 0.6721, decode.d7.loss_cls: 0.1929, decode.d7.loss_mask: 0.4654, decode.d7.loss_dice: 0.6736, decode.d8.loss_cls: 0.1932, decode.d8.loss_mask: 0.4659, decode.d8.loss_dice: 0.6742, loss: 14.5784, grad_norm: 43.3250 2023-11-12 11:44:26,329 - mmseg - INFO - Iter [93050/160000] lr: 4.184e-05, eta: 9:20:34, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2026, decode.loss_mask: 0.4657, decode.loss_dice: 0.6845, decode.d0.loss_cls: 1.1667, decode.d0.loss_mask: 0.4990, decode.d0.loss_dice: 0.7458, decode.d1.loss_cls: 0.2677, decode.d1.loss_mask: 0.4803, decode.d1.loss_dice: 0.7142, decode.d2.loss_cls: 0.2334, decode.d2.loss_mask: 0.4726, decode.d2.loss_dice: 0.6993, decode.d3.loss_cls: 0.2222, decode.d3.loss_mask: 0.4673, decode.d3.loss_dice: 0.6877, decode.d4.loss_cls: 0.2091, decode.d4.loss_mask: 0.4670, decode.d4.loss_dice: 0.6916, decode.d5.loss_cls: 0.2062, decode.d5.loss_mask: 0.4661, decode.d5.loss_dice: 0.6892, decode.d6.loss_cls: 0.2057, decode.d6.loss_mask: 0.4653, decode.d6.loss_dice: 0.6861, decode.d7.loss_cls: 0.2047, decode.d7.loss_mask: 0.4649, decode.d7.loss_dice: 0.6862, decode.d8.loss_cls: 0.2007, decode.d8.loss_mask: 0.4644, decode.d8.loss_dice: 0.6872, loss: 14.8032, grad_norm: 52.6915 2023-11-12 11:44:50,069 - mmseg - INFO - Iter [93100/160000] lr: 4.181e-05, eta: 9:20:08, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2045, decode.loss_mask: 0.4678, decode.loss_dice: 0.7028, decode.d0.loss_cls: 1.1586, decode.d0.loss_mask: 0.5035, decode.d0.loss_dice: 0.7735, decode.d1.loss_cls: 0.2711, decode.d1.loss_mask: 0.4831, decode.d1.loss_dice: 0.7410, decode.d2.loss_cls: 0.2396, decode.d2.loss_mask: 0.4735, decode.d2.loss_dice: 0.7214, decode.d3.loss_cls: 0.2233, decode.d3.loss_mask: 0.4720, decode.d3.loss_dice: 0.7093, decode.d4.loss_cls: 0.2217, decode.d4.loss_mask: 0.4708, decode.d4.loss_dice: 0.7087, decode.d5.loss_cls: 0.2135, decode.d5.loss_mask: 0.4709, decode.d5.loss_dice: 0.7069, decode.d6.loss_cls: 0.2127, decode.d6.loss_mask: 0.4682, decode.d6.loss_dice: 0.7049, decode.d7.loss_cls: 0.2123, decode.d7.loss_mask: 0.4673, decode.d7.loss_dice: 0.7080, decode.d8.loss_cls: 0.2067, decode.d8.loss_mask: 0.4694, decode.d8.loss_dice: 0.7079, loss: 15.0950, grad_norm: 50.6044 2023-11-12 11:45:14,037 - mmseg - INFO - Iter [93150/160000] lr: 4.178e-05, eta: 9:19:42, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2246, decode.loss_mask: 0.4464, decode.loss_dice: 0.7081, decode.d0.loss_cls: 1.2385, decode.d0.loss_mask: 0.4781, decode.d0.loss_dice: 0.7701, decode.d1.loss_cls: 0.2965, decode.d1.loss_mask: 0.4609, decode.d1.loss_dice: 0.7479, decode.d2.loss_cls: 0.2579, decode.d2.loss_mask: 0.4516, decode.d2.loss_dice: 0.7211, decode.d3.loss_cls: 0.2470, decode.d3.loss_mask: 0.4472, decode.d3.loss_dice: 0.7106, decode.d4.loss_cls: 0.2339, decode.d4.loss_mask: 0.4453, decode.d4.loss_dice: 0.7088, decode.d5.loss_cls: 0.2270, decode.d5.loss_mask: 0.4457, decode.d5.loss_dice: 0.7089, decode.d6.loss_cls: 0.2258, decode.d6.loss_mask: 0.4457, decode.d6.loss_dice: 0.7052, decode.d7.loss_cls: 0.2253, decode.d7.loss_mask: 0.4464, decode.d7.loss_dice: 0.7099, decode.d8.loss_cls: 0.2190, decode.d8.loss_mask: 0.4472, decode.d8.loss_dice: 0.7099, loss: 15.1102, grad_norm: 47.5867 2023-11-12 11:45:38,125 - mmseg - INFO - Iter [93200/160000] lr: 4.175e-05, eta: 9:19:16, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2177, decode.loss_mask: 0.4601, decode.loss_dice: 0.6998, decode.d0.loss_cls: 1.2108, decode.d0.loss_mask: 0.4996, decode.d0.loss_dice: 0.7633, decode.d1.loss_cls: 0.2899, decode.d1.loss_mask: 0.4807, decode.d1.loss_dice: 0.7320, decode.d2.loss_cls: 0.2562, decode.d2.loss_mask: 0.4704, decode.d2.loss_dice: 0.7213, decode.d3.loss_cls: 0.2428, decode.d3.loss_mask: 0.4639, decode.d3.loss_dice: 0.7045, decode.d4.loss_cls: 0.2290, decode.d4.loss_mask: 0.4628, decode.d4.loss_dice: 0.7044, decode.d5.loss_cls: 0.2278, decode.d5.loss_mask: 0.4615, decode.d5.loss_dice: 0.7011, decode.d6.loss_cls: 0.2263, decode.d6.loss_mask: 0.4602, decode.d6.loss_dice: 0.6998, decode.d7.loss_cls: 0.2183, decode.d7.loss_mask: 0.4622, decode.d7.loss_dice: 0.6995, decode.d8.loss_cls: 0.2184, decode.d8.loss_mask: 0.4598, decode.d8.loss_dice: 0.6947, loss: 15.1389, grad_norm: 47.7646 2023-11-12 11:46:02,374 - mmseg - INFO - Iter [93250/160000] lr: 4.172e-05, eta: 9:18:51, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2174, decode.loss_mask: 0.4570, decode.loss_dice: 0.6951, decode.d0.loss_cls: 1.2164, decode.d0.loss_mask: 0.4870, decode.d0.loss_dice: 0.7609, decode.d1.loss_cls: 0.2847, decode.d1.loss_mask: 0.4706, decode.d1.loss_dice: 0.7320, decode.d2.loss_cls: 0.2553, decode.d2.loss_mask: 0.4620, decode.d2.loss_dice: 0.7167, decode.d3.loss_cls: 0.2367, decode.d3.loss_mask: 0.4591, decode.d3.loss_dice: 0.7008, decode.d4.loss_cls: 0.2288, decode.d4.loss_mask: 0.4580, decode.d4.loss_dice: 0.6987, decode.d5.loss_cls: 0.2217, decode.d5.loss_mask: 0.4586, decode.d5.loss_dice: 0.6989, decode.d6.loss_cls: 0.2222, decode.d6.loss_mask: 0.4555, decode.d6.loss_dice: 0.6960, decode.d7.loss_cls: 0.2179, decode.d7.loss_mask: 0.4564, decode.d7.loss_dice: 0.6963, decode.d8.loss_cls: 0.2130, decode.d8.loss_mask: 0.4560, decode.d8.loss_dice: 0.6990, loss: 15.0286, grad_norm: 46.3857 2023-11-12 11:46:26,473 - mmseg - INFO - Iter [93300/160000] lr: 4.169e-05, eta: 9:18:25, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1946, decode.loss_mask: 0.4675, decode.loss_dice: 0.6909, decode.d0.loss_cls: 1.1545, decode.d0.loss_mask: 0.4997, decode.d0.loss_dice: 0.7491, decode.d1.loss_cls: 0.2540, decode.d1.loss_mask: 0.4824, decode.d1.loss_dice: 0.7237, decode.d2.loss_cls: 0.2354, decode.d2.loss_mask: 0.4706, decode.d2.loss_dice: 0.7086, decode.d3.loss_cls: 0.2169, decode.d3.loss_mask: 0.4688, decode.d3.loss_dice: 0.6904, decode.d4.loss_cls: 0.2059, decode.d4.loss_mask: 0.4673, decode.d4.loss_dice: 0.6950, decode.d5.loss_cls: 0.2012, decode.d5.loss_mask: 0.4679, decode.d5.loss_dice: 0.6924, decode.d6.loss_cls: 0.1946, decode.d6.loss_mask: 0.4670, decode.d6.loss_dice: 0.6903, decode.d7.loss_cls: 0.1963, decode.d7.loss_mask: 0.4667, decode.d7.loss_dice: 0.6915, decode.d8.loss_cls: 0.1953, decode.d8.loss_mask: 0.4663, decode.d8.loss_dice: 0.6907, loss: 14.7955, grad_norm: 50.1637 2023-11-12 11:46:50,341 - mmseg - INFO - Iter [93350/160000] lr: 4.166e-05, eta: 9:17:59, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2149, decode.loss_mask: 0.4341, decode.loss_dice: 0.6805, decode.d0.loss_cls: 1.2178, decode.d0.loss_mask: 0.4711, decode.d0.loss_dice: 0.7427, decode.d1.loss_cls: 0.2849, decode.d1.loss_mask: 0.4487, decode.d1.loss_dice: 0.7198, decode.d2.loss_cls: 0.2461, decode.d2.loss_mask: 0.4395, decode.d2.loss_dice: 0.6983, decode.d3.loss_cls: 0.2338, decode.d3.loss_mask: 0.4363, decode.d3.loss_dice: 0.6898, decode.d4.loss_cls: 0.2256, decode.d4.loss_mask: 0.4359, decode.d4.loss_dice: 0.6858, decode.d5.loss_cls: 0.2260, decode.d5.loss_mask: 0.4338, decode.d5.loss_dice: 0.6846, decode.d6.loss_cls: 0.2250, decode.d6.loss_mask: 0.4353, decode.d6.loss_dice: 0.6852, decode.d7.loss_cls: 0.2192, decode.d7.loss_mask: 0.4347, decode.d7.loss_dice: 0.6876, decode.d8.loss_cls: 0.2175, decode.d8.loss_mask: 0.4347, decode.d8.loss_dice: 0.6852, loss: 14.6743, grad_norm: 43.9360 2023-11-12 11:47:14,283 - mmseg - INFO - Iter [93400/160000] lr: 4.163e-05, eta: 9:17:33, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2197, decode.loss_mask: 0.4745, decode.loss_dice: 0.7037, decode.d0.loss_cls: 1.2020, decode.d0.loss_mask: 0.5148, decode.d0.loss_dice: 0.7641, decode.d1.loss_cls: 0.2905, decode.d1.loss_mask: 0.4876, decode.d1.loss_dice: 0.7368, decode.d2.loss_cls: 0.2580, decode.d2.loss_mask: 0.4803, decode.d2.loss_dice: 0.7152, decode.d3.loss_cls: 0.2378, decode.d3.loss_mask: 0.4778, decode.d3.loss_dice: 0.7045, decode.d4.loss_cls: 0.2275, decode.d4.loss_mask: 0.4763, decode.d4.loss_dice: 0.7056, decode.d5.loss_cls: 0.2275, decode.d5.loss_mask: 0.4767, decode.d5.loss_dice: 0.7061, decode.d6.loss_cls: 0.2223, decode.d6.loss_mask: 0.4722, decode.d6.loss_dice: 0.7021, decode.d7.loss_cls: 0.2207, decode.d7.loss_mask: 0.4735, decode.d7.loss_dice: 0.7026, decode.d8.loss_cls: 0.2231, decode.d8.loss_mask: 0.4738, decode.d8.loss_dice: 0.7023, loss: 15.2794, grad_norm: 49.6276 2023-11-12 11:47:37,975 - mmseg - INFO - Iter [93450/160000] lr: 4.159e-05, eta: 9:17:07, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2137, decode.loss_mask: 0.4489, decode.loss_dice: 0.6743, decode.d0.loss_cls: 1.1757, decode.d0.loss_mask: 0.4829, decode.d0.loss_dice: 0.7338, decode.d1.loss_cls: 0.2827, decode.d1.loss_mask: 0.4622, decode.d1.loss_dice: 0.7073, decode.d2.loss_cls: 0.2449, decode.d2.loss_mask: 0.4574, decode.d2.loss_dice: 0.6958, decode.d3.loss_cls: 0.2312, decode.d3.loss_mask: 0.4522, decode.d3.loss_dice: 0.6798, decode.d4.loss_cls: 0.2246, decode.d4.loss_mask: 0.4505, decode.d4.loss_dice: 0.6795, decode.d5.loss_cls: 0.2163, decode.d5.loss_mask: 0.4496, decode.d5.loss_dice: 0.6777, decode.d6.loss_cls: 0.2174, decode.d6.loss_mask: 0.4513, decode.d6.loss_dice: 0.6753, decode.d7.loss_cls: 0.2129, decode.d7.loss_mask: 0.4500, decode.d7.loss_dice: 0.6760, decode.d8.loss_cls: 0.2135, decode.d8.loss_mask: 0.4490, decode.d8.loss_dice: 0.6763, loss: 14.6629, grad_norm: 45.0674 2023-11-12 11:48:04,125 - mmseg - INFO - Iter [93500/160000] lr: 4.156e-05, eta: 9:16:42, time: 0.521, data_time: 0.058, memory: 41146, decode.loss_cls: 0.1932, decode.loss_mask: 0.4537, decode.loss_dice: 0.6642, decode.d0.loss_cls: 1.1584, decode.d0.loss_mask: 0.4876, decode.d0.loss_dice: 0.7185, decode.d1.loss_cls: 0.2610, decode.d1.loss_mask: 0.4648, decode.d1.loss_dice: 0.6910, decode.d2.loss_cls: 0.2229, decode.d2.loss_mask: 0.4573, decode.d2.loss_dice: 0.6706, decode.d3.loss_cls: 0.2127, decode.d3.loss_mask: 0.4550, decode.d3.loss_dice: 0.6631, decode.d4.loss_cls: 0.2070, decode.d4.loss_mask: 0.4547, decode.d4.loss_dice: 0.6611, decode.d5.loss_cls: 0.2014, decode.d5.loss_mask: 0.4549, decode.d5.loss_dice: 0.6663, decode.d6.loss_cls: 0.1997, decode.d6.loss_mask: 0.4557, decode.d6.loss_dice: 0.6626, decode.d7.loss_cls: 0.1931, decode.d7.loss_mask: 0.4552, decode.d7.loss_dice: 0.6631, decode.d8.loss_cls: 0.1915, decode.d8.loss_mask: 0.4550, decode.d8.loss_dice: 0.6643, loss: 14.3593, grad_norm: 45.3620 2023-11-12 11:48:27,910 - mmseg - INFO - Iter [93550/160000] lr: 4.153e-05, eta: 9:16:16, time: 0.478, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2061, decode.loss_mask: 0.4604, decode.loss_dice: 0.6934, decode.d0.loss_cls: 1.1990, decode.d0.loss_mask: 0.4928, decode.d0.loss_dice: 0.7612, decode.d1.loss_cls: 0.2821, decode.d1.loss_mask: 0.4736, decode.d1.loss_dice: 0.7305, decode.d2.loss_cls: 0.2496, decode.d2.loss_mask: 0.4651, decode.d2.loss_dice: 0.7100, decode.d3.loss_cls: 0.2328, decode.d3.loss_mask: 0.4595, decode.d3.loss_dice: 0.6987, decode.d4.loss_cls: 0.2220, decode.d4.loss_mask: 0.4606, decode.d4.loss_dice: 0.6980, decode.d5.loss_cls: 0.2171, decode.d5.loss_mask: 0.4626, decode.d5.loss_dice: 0.6998, decode.d6.loss_cls: 0.2134, decode.d6.loss_mask: 0.4596, decode.d6.loss_dice: 0.6939, decode.d7.loss_cls: 0.2069, decode.d7.loss_mask: 0.4599, decode.d7.loss_dice: 0.6955, decode.d8.loss_cls: 0.2118, decode.d8.loss_mask: 0.4583, decode.d8.loss_dice: 0.6941, loss: 14.9683, grad_norm: 48.9353 2023-11-12 11:48:51,969 - mmseg - INFO - Iter [93600/160000] lr: 4.150e-05, eta: 9:15:50, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2048, decode.loss_mask: 0.4462, decode.loss_dice: 0.7123, decode.d0.loss_cls: 1.2095, decode.d0.loss_mask: 0.4833, decode.d0.loss_dice: 0.7816, decode.d1.loss_cls: 0.2866, decode.d1.loss_mask: 0.4645, decode.d1.loss_dice: 0.7459, decode.d2.loss_cls: 0.2509, decode.d2.loss_mask: 0.4516, decode.d2.loss_dice: 0.7263, decode.d3.loss_cls: 0.2331, decode.d3.loss_mask: 0.4475, decode.d3.loss_dice: 0.7120, decode.d4.loss_cls: 0.2220, decode.d4.loss_mask: 0.4464, decode.d4.loss_dice: 0.7172, decode.d5.loss_cls: 0.2127, decode.d5.loss_mask: 0.4478, decode.d5.loss_dice: 0.7167, decode.d6.loss_cls: 0.2127, decode.d6.loss_mask: 0.4476, decode.d6.loss_dice: 0.7121, decode.d7.loss_cls: 0.2067, decode.d7.loss_mask: 0.4471, decode.d7.loss_dice: 0.7169, decode.d8.loss_cls: 0.2079, decode.d8.loss_mask: 0.4460, decode.d8.loss_dice: 0.7163, loss: 15.0320, grad_norm: 45.2665 2023-11-12 11:49:15,763 - mmseg - INFO - Iter [93650/160000] lr: 4.147e-05, eta: 9:15:24, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1908, decode.loss_mask: 0.4617, decode.loss_dice: 0.6893, decode.d0.loss_cls: 1.1669, decode.d0.loss_mask: 0.4928, decode.d0.loss_dice: 0.7445, decode.d1.loss_cls: 0.2619, decode.d1.loss_mask: 0.4771, decode.d1.loss_dice: 0.7203, decode.d2.loss_cls: 0.2229, decode.d2.loss_mask: 0.4681, decode.d2.loss_dice: 0.7075, decode.d3.loss_cls: 0.2118, decode.d3.loss_mask: 0.4636, decode.d3.loss_dice: 0.6965, decode.d4.loss_cls: 0.2025, decode.d4.loss_mask: 0.4626, decode.d4.loss_dice: 0.6952, decode.d5.loss_cls: 0.2010, decode.d5.loss_mask: 0.4622, decode.d5.loss_dice: 0.6929, decode.d6.loss_cls: 0.2006, decode.d6.loss_mask: 0.4597, decode.d6.loss_dice: 0.6884, decode.d7.loss_cls: 0.1961, decode.d7.loss_mask: 0.4592, decode.d7.loss_dice: 0.6928, decode.d8.loss_cls: 0.1939, decode.d8.loss_mask: 0.4606, decode.d8.loss_dice: 0.6874, loss: 14.7304, grad_norm: 46.2282 2023-11-12 11:49:39,827 - mmseg - INFO - Iter [93700/160000] lr: 4.144e-05, eta: 9:14:58, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1981, decode.loss_mask: 0.4615, decode.loss_dice: 0.6904, decode.d0.loss_cls: 1.1611, decode.d0.loss_mask: 0.4943, decode.d0.loss_dice: 0.7480, decode.d1.loss_cls: 0.2496, decode.d1.loss_mask: 0.4744, decode.d1.loss_dice: 0.7254, decode.d2.loss_cls: 0.2232, decode.d2.loss_mask: 0.4687, decode.d2.loss_dice: 0.7132, decode.d3.loss_cls: 0.2143, decode.d3.loss_mask: 0.4636, decode.d3.loss_dice: 0.6953, decode.d4.loss_cls: 0.2144, decode.d4.loss_mask: 0.4603, decode.d4.loss_dice: 0.6942, decode.d5.loss_cls: 0.2009, decode.d5.loss_mask: 0.4615, decode.d5.loss_dice: 0.6931, decode.d6.loss_cls: 0.1990, decode.d6.loss_mask: 0.4619, decode.d6.loss_dice: 0.6920, decode.d7.loss_cls: 0.1977, decode.d7.loss_mask: 0.4606, decode.d7.loss_dice: 0.6903, decode.d8.loss_cls: 0.2001, decode.d8.loss_mask: 0.4620, decode.d8.loss_dice: 0.6896, loss: 14.7588, grad_norm: 44.3802 2023-11-12 11:50:03,919 - mmseg - INFO - Iter [93750/160000] lr: 4.141e-05, eta: 9:14:33, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2076, decode.loss_mask: 0.4686, decode.loss_dice: 0.6933, decode.d0.loss_cls: 1.1645, decode.d0.loss_mask: 0.5014, decode.d0.loss_dice: 0.7581, decode.d1.loss_cls: 0.2626, decode.d1.loss_mask: 0.4841, decode.d1.loss_dice: 0.7286, decode.d2.loss_cls: 0.2325, decode.d2.loss_mask: 0.4759, decode.d2.loss_dice: 0.7097, decode.d3.loss_cls: 0.2213, decode.d3.loss_mask: 0.4728, decode.d3.loss_dice: 0.6995, decode.d4.loss_cls: 0.2162, decode.d4.loss_mask: 0.4710, decode.d4.loss_dice: 0.6957, decode.d5.loss_cls: 0.2157, decode.d5.loss_mask: 0.4705, decode.d5.loss_dice: 0.6978, decode.d6.loss_cls: 0.2093, decode.d6.loss_mask: 0.4691, decode.d6.loss_dice: 0.6988, decode.d7.loss_cls: 0.2075, decode.d7.loss_mask: 0.4693, decode.d7.loss_dice: 0.6947, decode.d8.loss_cls: 0.2038, decode.d8.loss_mask: 0.4695, decode.d8.loss_dice: 0.6955, loss: 14.9649, grad_norm: 47.2946 2023-11-12 11:50:27,793 - mmseg - INFO - Iter [93800/160000] lr: 4.138e-05, eta: 9:14:07, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2165, decode.loss_mask: 0.4549, decode.loss_dice: 0.7029, decode.d0.loss_cls: 1.1969, decode.d0.loss_mask: 0.4929, decode.d0.loss_dice: 0.7699, decode.d1.loss_cls: 0.2836, decode.d1.loss_mask: 0.4743, decode.d1.loss_dice: 0.7529, decode.d2.loss_cls: 0.2467, decode.d2.loss_mask: 0.4655, decode.d2.loss_dice: 0.7238, decode.d3.loss_cls: 0.2329, decode.d3.loss_mask: 0.4605, decode.d3.loss_dice: 0.7084, decode.d4.loss_cls: 0.2283, decode.d4.loss_mask: 0.4567, decode.d4.loss_dice: 0.7055, decode.d5.loss_cls: 0.2209, decode.d5.loss_mask: 0.4555, decode.d5.loss_dice: 0.7104, decode.d6.loss_cls: 0.2184, decode.d6.loss_mask: 0.4563, decode.d6.loss_dice: 0.7008, decode.d7.loss_cls: 0.2160, decode.d7.loss_mask: 0.4548, decode.d7.loss_dice: 0.7079, decode.d8.loss_cls: 0.2142, decode.d8.loss_mask: 0.4556, decode.d8.loss_dice: 0.7066, loss: 15.0905, grad_norm: 47.9319 2023-11-12 11:50:51,429 - mmseg - INFO - Iter [93850/160000] lr: 4.134e-05, eta: 9:13:40, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2039, decode.loss_mask: 0.4615, decode.loss_dice: 0.6880, decode.d0.loss_cls: 1.1954, decode.d0.loss_mask: 0.4933, decode.d0.loss_dice: 0.7556, decode.d1.loss_cls: 0.2662, decode.d1.loss_mask: 0.4781, decode.d1.loss_dice: 0.7284, decode.d2.loss_cls: 0.2379, decode.d2.loss_mask: 0.4681, decode.d2.loss_dice: 0.7030, decode.d3.loss_cls: 0.2201, decode.d3.loss_mask: 0.4650, decode.d3.loss_dice: 0.6956, decode.d4.loss_cls: 0.2177, decode.d4.loss_mask: 0.4635, decode.d4.loss_dice: 0.6944, decode.d5.loss_cls: 0.2090, decode.d5.loss_mask: 0.4626, decode.d5.loss_dice: 0.6907, decode.d6.loss_cls: 0.2082, decode.d6.loss_mask: 0.4620, decode.d6.loss_dice: 0.6878, decode.d7.loss_cls: 0.2033, decode.d7.loss_mask: 0.4623, decode.d7.loss_dice: 0.6926, decode.d8.loss_cls: 0.2059, decode.d8.loss_mask: 0.4624, decode.d8.loss_dice: 0.6898, loss: 14.8723, grad_norm: 48.1650 2023-11-12 11:51:15,153 - mmseg - INFO - Iter [93900/160000] lr: 4.131e-05, eta: 9:13:14, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1997, decode.loss_mask: 0.4658, decode.loss_dice: 0.6975, decode.d0.loss_cls: 1.1620, decode.d0.loss_mask: 0.4985, decode.d0.loss_dice: 0.7546, decode.d1.loss_cls: 0.2596, decode.d1.loss_mask: 0.4813, decode.d1.loss_dice: 0.7323, decode.d2.loss_cls: 0.2263, decode.d2.loss_mask: 0.4707, decode.d2.loss_dice: 0.7099, decode.d3.loss_cls: 0.2120, decode.d3.loss_mask: 0.4675, decode.d3.loss_dice: 0.7020, decode.d4.loss_cls: 0.2057, decode.d4.loss_mask: 0.4674, decode.d4.loss_dice: 0.6946, decode.d5.loss_cls: 0.2046, decode.d5.loss_mask: 0.4682, decode.d5.loss_dice: 0.6968, decode.d6.loss_cls: 0.2054, decode.d6.loss_mask: 0.4672, decode.d6.loss_dice: 0.6932, decode.d7.loss_cls: 0.2007, decode.d7.loss_mask: 0.4670, decode.d7.loss_dice: 0.6985, decode.d8.loss_cls: 0.2002, decode.d8.loss_mask: 0.4656, decode.d8.loss_dice: 0.6913, loss: 14.8660, grad_norm: 44.6808 2023-11-12 11:51:39,142 - mmseg - INFO - Iter [93950/160000] lr: 4.128e-05, eta: 9:12:48, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1828, decode.loss_mask: 0.4679, decode.loss_dice: 0.7042, decode.d0.loss_cls: 1.1579, decode.d0.loss_mask: 0.5044, decode.d0.loss_dice: 0.7585, decode.d1.loss_cls: 0.2626, decode.d1.loss_mask: 0.4814, decode.d1.loss_dice: 0.7433, decode.d2.loss_cls: 0.2265, decode.d2.loss_mask: 0.4790, decode.d2.loss_dice: 0.7195, decode.d3.loss_cls: 0.2015, decode.d3.loss_mask: 0.4718, decode.d3.loss_dice: 0.7125, decode.d4.loss_cls: 0.1995, decode.d4.loss_mask: 0.4716, decode.d4.loss_dice: 0.7101, decode.d5.loss_cls: 0.1955, decode.d5.loss_mask: 0.4687, decode.d5.loss_dice: 0.7089, decode.d6.loss_cls: 0.1899, decode.d6.loss_mask: 0.4683, decode.d6.loss_dice: 0.7060, decode.d7.loss_cls: 0.1871, decode.d7.loss_mask: 0.4672, decode.d7.loss_dice: 0.7057, decode.d8.loss_cls: 0.1809, decode.d8.loss_mask: 0.4687, decode.d8.loss_dice: 0.7041, loss: 14.9059, grad_norm: 47.9255 2023-11-12 11:52:03,144 - mmseg - INFO - Saving checkpoint at 94000 iterations 2023-11-12 11:52:06,933 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 11:52:06,934 - mmseg - INFO - Iter [94000/160000] lr: 4.125e-05, eta: 9:12:25, time: 0.556, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2040, decode.loss_mask: 0.4375, decode.loss_dice: 0.6814, decode.d0.loss_cls: 1.2254, decode.d0.loss_mask: 0.4670, decode.d0.loss_dice: 0.7527, decode.d1.loss_cls: 0.2694, decode.d1.loss_mask: 0.4497, decode.d1.loss_dice: 0.7240, decode.d2.loss_cls: 0.2342, decode.d2.loss_mask: 0.4414, decode.d2.loss_dice: 0.7026, decode.d3.loss_cls: 0.2239, decode.d3.loss_mask: 0.4397, decode.d3.loss_dice: 0.6924, decode.d4.loss_cls: 0.2148, decode.d4.loss_mask: 0.4399, decode.d4.loss_dice: 0.6894, decode.d5.loss_cls: 0.2083, decode.d5.loss_mask: 0.4373, decode.d5.loss_dice: 0.6888, decode.d6.loss_cls: 0.2064, decode.d6.loss_mask: 0.4381, decode.d6.loss_dice: 0.6849, decode.d7.loss_cls: 0.2026, decode.d7.loss_mask: 0.4382, decode.d7.loss_dice: 0.6845, decode.d8.loss_cls: 0.2039, decode.d8.loss_mask: 0.4368, decode.d8.loss_dice: 0.6839, loss: 14.6032, grad_norm: 43.8097 2023-11-12 11:52:26,124 - mmseg - INFO - per class results: 2023-11-12 11:52:26,129 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.26 | 88.02 | | building | 82.75 | 91.06 | | sky | 94.97 | 97.3 | | floor | 83.56 | 90.54 | | tree | 75.08 | 86.32 | | ceiling | 84.9 | 91.71 | | road | 84.75 | 90.5 | | bed | 90.78 | 95.51 | | windowpane | 62.97 | 80.02 | | grass | 66.52 | 79.0 | | cabinet | 64.86 | 76.99 | | sidewalk | 69.03 | 84.17 | | person | 84.7 | 93.04 | | earth | 39.06 | 57.87 | | door | 51.52 | 66.06 | | table | 67.35 | 80.04 | | mountain | 62.21 | 81.44 | | plant | 53.06 | 66.22 | | curtain | 79.11 | 88.99 | | chair | 62.04 | 73.52 | | car | 85.95 | 91.78 | | water | 55.71 | 65.12 | | painting | 78.65 | 88.81 | | sofa | 68.56 | 85.4 | | shelf | 43.89 | 66.38 | | house | 43.29 | 69.04 | | sea | 66.72 | 90.47 | | mirror | 72.91 | 82.65 | | rug | 66.99 | 79.97 | | field | 23.76 | 34.64 | | armchair | 45.23 | 60.08 | | seat | 61.98 | 83.32 | | fence | 51.0 | 71.29 | | desk | 54.91 | 73.53 | | rock | 48.04 | 66.93 | | wardrobe | 46.15 | 69.73 | | lamp | 71.1 | 83.56 | | bathtub | 79.55 | 84.43 | | railing | 36.39 | 56.81 | | cushion | 63.94 | 74.91 | | base | 30.15 | 44.27 | | box | 27.77 | 42.35 | | column | 41.55 | 58.71 | | signboard | 37.82 | 57.52 | | chest of drawers | 44.34 | 58.15 | | counter | 31.73 | 41.08 | | sand | 32.37 | 47.6 | | sink | 78.91 | 86.73 | | skyscraper | 38.28 | 43.9 | | fireplace | 71.53 | 87.07 | | refrigerator | 83.28 | 91.35 | | grandstand | 38.88 | 65.39 | | path | 32.07 | 44.66 | | stairs | 27.69 | 38.96 | | runway | 79.17 | 92.28 | | case | 63.02 | 76.17 | | pool table | 95.2 | 97.56 | | pillow | 62.85 | 80.54 | | screen door | 71.05 | 83.92 | | stairway | 33.41 | 42.13 | | river | 18.37 | 45.06 | | bridge | 66.9 | 90.07 | | bookcase | 40.88 | 65.43 | | blind | 51.89 | 59.12 | | coffee table | 64.22 | 85.48 | | toilet | 88.42 | 91.61 | | flower | 49.0 | 64.57 | | book | 51.6 | 70.72 | | hill | 4.37 | 11.53 | | bench | 58.38 | 75.11 | | countertop | 61.94 | 69.17 | | stove | 83.82 | 88.48 | | palm | 51.44 | 74.7 | | kitchen island | 59.71 | 76.08 | | computer | 71.0 | 77.22 | | swivel chair | 44.15 | 68.88 | | boat | 72.74 | 85.59 | | bar | 47.92 | 64.17 | | arcade machine | 64.01 | 68.27 | | hovel | 33.83 | 48.66 | | bus | 93.26 | 96.19 | | towel | 62.63 | 80.88 | | light | 62.57 | 77.02 | | truck | 31.17 | 59.05 | | tower | 20.54 | 36.63 | | chandelier | 72.26 | 87.84 | | awning | 38.8 | 47.34 | | streetlight | 43.57 | 64.25 | | booth | 24.89 | 41.47 | | television receiver | 71.87 | 82.55 | | airplane | 66.61 | 76.07 | | dirt track | 7.3 | 33.64 | | apparel | 28.59 | 48.93 | | pole | 35.65 | 61.3 | | land | 6.46 | 9.33 | | bannister | 23.53 | 31.05 | | escalator | 19.58 | 23.35 | | ottoman | 51.92 | 76.78 | | bottle | 26.46 | 33.12 | | buffet | 48.54 | 53.8 | | poster | 20.16 | 29.48 | | stage | 15.34 | 34.87 | | van | 51.46 | 76.21 | | ship | 10.8 | 11.66 | | fountain | 21.3 | 21.75 | | conveyer belt | 51.99 | 76.78 | | canopy | 29.16 | 40.27 | | washer | 72.11 | 74.14 | | plaything | 48.56 | 68.29 | | swimming pool | 59.54 | 63.21 | | stool | 43.98 | 75.7 | | barrel | 88.27 | 98.32 | | basket | 36.88 | 45.18 | | waterfall | 64.3 | 92.92 | | tent | 96.14 | 98.1 | | bag | 18.08 | 21.24 | | minibike | 75.3 | 91.3 | | cradle | 76.13 | 97.28 | | oven | 25.2 | 66.96 | | ball | 35.42 | 41.31 | | food | 58.79 | 70.92 | | step | 17.23 | 24.79 | | tank | 51.57 | 64.62 | | trade name | 25.06 | 31.23 | | microwave | 41.05 | 45.82 | | pot | 49.49 | 59.6 | | animal | 59.4 | 61.46 | | bicycle | 57.96 | 80.72 | | lake | 56.12 | 63.37 | | dishwasher | 76.03 | 85.55 | | screen | 58.68 | 88.02 | | blanket | 27.13 | 34.78 | | sculpture | 63.28 | 87.2 | | hood | 77.4 | 93.32 | | sconce | 56.09 | 74.11 | | vase | 49.26 | 71.02 | | traffic light | 34.72 | 59.36 | | tray | 16.67 | 35.56 | | ashcan | 47.24 | 67.92 | | fan | 70.19 | 85.89 | | pier | 29.65 | 44.52 | | crt screen | 3.19 | 8.0 | | plate | 59.79 | 77.47 | | monitor | 9.93 | 14.93 | | bulletin board | 46.21 | 62.46 | | shower | 4.06 | 26.8 | | radiator | 68.89 | 88.33 | | glass | 22.19 | 24.68 | | clock | 55.22 | 69.57 | | flag | 46.25 | 50.9 | +---------------------+-------+-------+ 2023-11-12 11:52:26,129 - mmseg - INFO - Summary: 2023-11-12 11:52:26,129 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 84.0 | 52.16 | 65.97 | +------+-------+-------+ 2023-11-12 11:52:26,130 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 11:52:26,130 - mmseg - INFO - Iter(val) [250] aAcc: 0.8400, mIoU: 0.5216, mAcc: 0.6597, IoU.wall: 0.7926, IoU.building: 0.8275, IoU.sky: 0.9497, IoU.floor: 0.8356, IoU.tree: 0.7508, IoU.ceiling: 0.8490, IoU.road: 0.8475, IoU.bed : 0.9078, IoU.windowpane: 0.6297, IoU.grass: 0.6652, IoU.cabinet: 0.6486, IoU.sidewalk: 0.6903, IoU.person: 0.8470, IoU.earth: 0.3906, IoU.door: 0.5152, IoU.table: 0.6735, IoU.mountain: 0.6221, IoU.plant: 0.5306, IoU.curtain: 0.7911, IoU.chair: 0.6204, IoU.car: 0.8595, IoU.water: 0.5571, IoU.painting: 0.7865, IoU.sofa: 0.6856, IoU.shelf: 0.4389, IoU.house: 0.4329, IoU.sea: 0.6672, IoU.mirror: 0.7291, IoU.rug: 0.6699, IoU.field: 0.2376, IoU.armchair: 0.4523, IoU.seat: 0.6198, IoU.fence: 0.5100, IoU.desk: 0.5491, IoU.rock: 0.4804, IoU.wardrobe: 0.4615, IoU.lamp: 0.7110, IoU.bathtub: 0.7955, IoU.railing: 0.3639, IoU.cushion: 0.6394, IoU.base: 0.3015, IoU.box: 0.2777, IoU.column: 0.4155, IoU.signboard: 0.3782, IoU.chest of drawers: 0.4434, IoU.counter: 0.3173, IoU.sand: 0.3237, IoU.sink: 0.7891, IoU.skyscraper: 0.3828, IoU.fireplace: 0.7153, IoU.refrigerator: 0.8328, IoU.grandstand: 0.3888, IoU.path: 0.3207, IoU.stairs: 0.2769, IoU.runway: 0.7917, IoU.case: 0.6302, IoU.pool table: 0.9520, IoU.pillow: 0.6285, IoU.screen door: 0.7105, IoU.stairway: 0.3341, IoU.river: 0.1837, IoU.bridge: 0.6690, IoU.bookcase: 0.4088, IoU.blind: 0.5189, IoU.coffee table: 0.6422, IoU.toilet: 0.8842, IoU.flower: 0.4900, IoU.book: 0.5160, IoU.hill: 0.0437, IoU.bench: 0.5838, IoU.countertop: 0.6194, IoU.stove: 0.8382, IoU.palm: 0.5144, IoU.kitchen island: 0.5971, IoU.computer: 0.7100, IoU.swivel chair: 0.4415, IoU.boat: 0.7274, IoU.bar: 0.4792, IoU.arcade machine: 0.6401, IoU.hovel: 0.3383, IoU.bus: 0.9326, IoU.towel: 0.6263, IoU.light: 0.6257, IoU.truck: 0.3117, IoU.tower: 0.2054, IoU.chandelier: 0.7226, IoU.awning: 0.3880, IoU.streetlight: 0.4357, IoU.booth: 0.2489, IoU.television receiver: 0.7187, IoU.airplane: 0.6661, IoU.dirt track: 0.0730, IoU.apparel: 0.2859, IoU.pole: 0.3565, IoU.land: 0.0646, IoU.bannister: 0.2353, IoU.escalator: 0.1958, IoU.ottoman: 0.5192, IoU.bottle: 0.2646, IoU.buffet: 0.4854, IoU.poster: 0.2016, IoU.stage: 0.1534, IoU.van: 0.5146, IoU.ship: 0.1080, IoU.fountain: 0.2130, IoU.conveyer belt: 0.5199, IoU.canopy: 0.2916, IoU.washer: 0.7211, IoU.plaything: 0.4856, IoU.swimming pool: 0.5954, IoU.stool: 0.4398, IoU.barrel: 0.8827, IoU.basket: 0.3688, IoU.waterfall: 0.6430, IoU.tent: 0.9614, IoU.bag: 0.1808, IoU.minibike: 0.7530, IoU.cradle: 0.7613, IoU.oven: 0.2520, IoU.ball: 0.3542, IoU.food: 0.5879, IoU.step: 0.1723, IoU.tank: 0.5157, IoU.trade name: 0.2506, IoU.microwave: 0.4105, IoU.pot: 0.4949, IoU.animal: 0.5940, IoU.bicycle: 0.5796, IoU.lake: 0.5612, IoU.dishwasher: 0.7603, IoU.screen: 0.5868, IoU.blanket: 0.2713, IoU.sculpture: 0.6328, IoU.hood: 0.7740, IoU.sconce: 0.5609, IoU.vase: 0.4926, IoU.traffic light: 0.3472, IoU.tray: 0.1667, IoU.ashcan: 0.4724, IoU.fan: 0.7019, IoU.pier: 0.2965, IoU.crt screen: 0.0319, IoU.plate: 0.5979, IoU.monitor: 0.0993, IoU.bulletin board: 0.4621, IoU.shower: 0.0406, IoU.radiator: 0.6889, IoU.glass: 0.2219, IoU.clock: 0.5522, IoU.flag: 0.4625, Acc.wall: 0.8802, Acc.building: 0.9106, Acc.sky: 0.9730, Acc.floor: 0.9054, Acc.tree: 0.8632, Acc.ceiling: 0.9171, Acc.road: 0.9050, Acc.bed : 0.9551, Acc.windowpane: 0.8002, Acc.grass: 0.7900, Acc.cabinet: 0.7699, Acc.sidewalk: 0.8417, Acc.person: 0.9304, Acc.earth: 0.5787, Acc.door: 0.6606, Acc.table: 0.8004, Acc.mountain: 0.8144, Acc.plant: 0.6622, Acc.curtain: 0.8899, Acc.chair: 0.7352, Acc.car: 0.9178, Acc.water: 0.6512, Acc.painting: 0.8881, Acc.sofa: 0.8540, Acc.shelf: 0.6638, Acc.house: 0.6904, Acc.sea: 0.9047, Acc.mirror: 0.8265, Acc.rug: 0.7997, Acc.field: 0.3464, Acc.armchair: 0.6008, Acc.seat: 0.8332, Acc.fence: 0.7129, Acc.desk: 0.7353, Acc.rock: 0.6693, Acc.wardrobe: 0.6973, Acc.lamp: 0.8356, Acc.bathtub: 0.8443, Acc.railing: 0.5681, Acc.cushion: 0.7491, Acc.base: 0.4427, Acc.box: 0.4235, Acc.column: 0.5871, Acc.signboard: 0.5752, Acc.chest of drawers: 0.5815, Acc.counter: 0.4108, Acc.sand: 0.4760, Acc.sink: 0.8673, Acc.skyscraper: 0.4390, Acc.fireplace: 0.8707, Acc.refrigerator: 0.9135, Acc.grandstand: 0.6539, Acc.path: 0.4466, Acc.stairs: 0.3896, Acc.runway: 0.9228, Acc.case: 0.7617, Acc.pool table: 0.9756, Acc.pillow: 0.8054, Acc.screen door: 0.8392, Acc.stairway: 0.4213, Acc.river: 0.4506, Acc.bridge: 0.9007, Acc.bookcase: 0.6543, Acc.blind: 0.5912, Acc.coffee table: 0.8548, Acc.toilet: 0.9161, Acc.flower: 0.6457, Acc.book: 0.7072, Acc.hill: 0.1153, Acc.bench: 0.7511, Acc.countertop: 0.6917, Acc.stove: 0.8848, Acc.palm: 0.7470, Acc.kitchen island: 0.7608, Acc.computer: 0.7722, Acc.swivel chair: 0.6888, Acc.boat: 0.8559, Acc.bar: 0.6417, Acc.arcade machine: 0.6827, Acc.hovel: 0.4866, Acc.bus: 0.9619, Acc.towel: 0.8088, Acc.light: 0.7702, Acc.truck: 0.5905, Acc.tower: 0.3663, Acc.chandelier: 0.8784, Acc.awning: 0.4734, Acc.streetlight: 0.6425, Acc.booth: 0.4147, Acc.television receiver: 0.8255, Acc.airplane: 0.7607, Acc.dirt track: 0.3364, Acc.apparel: 0.4893, Acc.pole: 0.6130, Acc.land: 0.0933, Acc.bannister: 0.3105, Acc.escalator: 0.2335, Acc.ottoman: 0.7678, Acc.bottle: 0.3312, Acc.buffet: 0.5380, Acc.poster: 0.2948, Acc.stage: 0.3487, Acc.van: 0.7621, Acc.ship: 0.1166, Acc.fountain: 0.2175, Acc.conveyer belt: 0.7678, Acc.canopy: 0.4027, Acc.washer: 0.7414, Acc.plaything: 0.6829, Acc.swimming pool: 0.6321, Acc.stool: 0.7570, Acc.barrel: 0.9832, Acc.basket: 0.4518, Acc.waterfall: 0.9292, Acc.tent: 0.9810, Acc.bag: 0.2124, Acc.minibike: 0.9130, Acc.cradle: 0.9728, Acc.oven: 0.6696, Acc.ball: 0.4131, Acc.food: 0.7092, Acc.step: 0.2479, Acc.tank: 0.6462, Acc.trade name: 0.3123, Acc.microwave: 0.4582, Acc.pot: 0.5960, Acc.animal: 0.6146, Acc.bicycle: 0.8072, Acc.lake: 0.6337, Acc.dishwasher: 0.8555, Acc.screen: 0.8802, Acc.blanket: 0.3478, Acc.sculpture: 0.8720, Acc.hood: 0.9332, Acc.sconce: 0.7411, Acc.vase: 0.7102, Acc.traffic light: 0.5936, Acc.tray: 0.3556, Acc.ashcan: 0.6792, Acc.fan: 0.8589, Acc.pier: 0.4452, Acc.crt screen: 0.0800, Acc.plate: 0.7747, Acc.monitor: 0.1493, Acc.bulletin board: 0.6246, Acc.shower: 0.2680, Acc.radiator: 0.8833, Acc.glass: 0.2468, Acc.clock: 0.6957, Acc.flag: 0.5090 2023-11-12 11:52:50,095 - mmseg - INFO - Iter [94050/160000] lr: 4.122e-05, eta: 9:12:13, time: 0.863, data_time: 0.397, memory: 41146, decode.loss_cls: 0.1970, decode.loss_mask: 0.4474, decode.loss_dice: 0.6929, decode.d0.loss_cls: 1.1888, decode.d0.loss_mask: 0.4802, decode.d0.loss_dice: 0.7596, decode.d1.loss_cls: 0.2782, decode.d1.loss_mask: 0.4613, decode.d1.loss_dice: 0.7375, decode.d2.loss_cls: 0.2337, decode.d2.loss_mask: 0.4566, decode.d2.loss_dice: 0.7157, decode.d3.loss_cls: 0.2173, decode.d3.loss_mask: 0.4523, decode.d3.loss_dice: 0.6986, decode.d4.loss_cls: 0.2092, decode.d4.loss_mask: 0.4497, decode.d4.loss_dice: 0.6989, decode.d5.loss_cls: 0.2021, decode.d5.loss_mask: 0.4495, decode.d5.loss_dice: 0.6963, decode.d6.loss_cls: 0.2021, decode.d6.loss_mask: 0.4501, decode.d6.loss_dice: 0.6912, decode.d7.loss_cls: 0.2000, decode.d7.loss_mask: 0.4489, decode.d7.loss_dice: 0.6957, decode.d8.loss_cls: 0.1967, decode.d8.loss_mask: 0.4491, decode.d8.loss_dice: 0.6959, loss: 14.7524, grad_norm: 46.0676 2023-11-12 11:53:14,177 - mmseg - INFO - Iter [94100/160000] lr: 4.119e-05, eta: 9:11:47, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2226, decode.loss_mask: 0.4569, decode.loss_dice: 0.7328, decode.d0.loss_cls: 1.2048, decode.d0.loss_mask: 0.4858, decode.d0.loss_dice: 0.7960, decode.d1.loss_cls: 0.2922, decode.d1.loss_mask: 0.4692, decode.d1.loss_dice: 0.7703, decode.d2.loss_cls: 0.2561, decode.d2.loss_mask: 0.4622, decode.d2.loss_dice: 0.7507, decode.d3.loss_cls: 0.2392, decode.d3.loss_mask: 0.4599, decode.d3.loss_dice: 0.7342, decode.d4.loss_cls: 0.2288, decode.d4.loss_mask: 0.4581, decode.d4.loss_dice: 0.7382, decode.d5.loss_cls: 0.2263, decode.d5.loss_mask: 0.4576, decode.d5.loss_dice: 0.7377, decode.d6.loss_cls: 0.2222, decode.d6.loss_mask: 0.4568, decode.d6.loss_dice: 0.7347, decode.d7.loss_cls: 0.2163, decode.d7.loss_mask: 0.4574, decode.d7.loss_dice: 0.7380, decode.d8.loss_cls: 0.2206, decode.d8.loss_mask: 0.4569, decode.d8.loss_dice: 0.7342, loss: 15.4166, grad_norm: 50.3055 2023-11-12 11:53:37,912 - mmseg - INFO - Iter [94150/160000] lr: 4.116e-05, eta: 9:11:21, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2010, decode.loss_mask: 0.4466, decode.loss_dice: 0.6764, decode.d0.loss_cls: 1.1874, decode.d0.loss_mask: 0.4763, decode.d0.loss_dice: 0.7335, decode.d1.loss_cls: 0.2637, decode.d1.loss_mask: 0.4576, decode.d1.loss_dice: 0.7108, decode.d2.loss_cls: 0.2320, decode.d2.loss_mask: 0.4518, decode.d2.loss_dice: 0.6928, decode.d3.loss_cls: 0.2257, decode.d3.loss_mask: 0.4481, decode.d3.loss_dice: 0.6776, decode.d4.loss_cls: 0.2138, decode.d4.loss_mask: 0.4484, decode.d4.loss_dice: 0.6838, decode.d5.loss_cls: 0.2059, decode.d5.loss_mask: 0.4485, decode.d5.loss_dice: 0.6809, decode.d6.loss_cls: 0.2021, decode.d6.loss_mask: 0.4462, decode.d6.loss_dice: 0.6790, decode.d7.loss_cls: 0.2034, decode.d7.loss_mask: 0.4466, decode.d7.loss_dice: 0.6772, decode.d8.loss_cls: 0.1986, decode.d8.loss_mask: 0.4458, decode.d8.loss_dice: 0.6787, loss: 14.5403, grad_norm: 45.4566 2023-11-12 11:54:01,672 - mmseg - INFO - Iter [94200/160000] lr: 4.113e-05, eta: 9:10:55, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2067, decode.loss_mask: 0.4712, decode.loss_dice: 0.7192, decode.d0.loss_cls: 1.1672, decode.d0.loss_mask: 0.5094, decode.d0.loss_dice: 0.7823, decode.d1.loss_cls: 0.2662, decode.d1.loss_mask: 0.4864, decode.d1.loss_dice: 0.7576, decode.d2.loss_cls: 0.2376, decode.d2.loss_mask: 0.4756, decode.d2.loss_dice: 0.7393, decode.d3.loss_cls: 0.2204, decode.d3.loss_mask: 0.4744, decode.d3.loss_dice: 0.7247, decode.d4.loss_cls: 0.2114, decode.d4.loss_mask: 0.4735, decode.d4.loss_dice: 0.7283, decode.d5.loss_cls: 0.2076, decode.d5.loss_mask: 0.4738, decode.d5.loss_dice: 0.7261, decode.d6.loss_cls: 0.2117, decode.d6.loss_mask: 0.4719, decode.d6.loss_dice: 0.7196, decode.d7.loss_cls: 0.2023, decode.d7.loss_mask: 0.4724, decode.d7.loss_dice: 0.7260, decode.d8.loss_cls: 0.1987, decode.d8.loss_mask: 0.4740, decode.d8.loss_dice: 0.7205, loss: 15.2561, grad_norm: 43.6121 2023-11-12 11:54:25,791 - mmseg - INFO - Iter [94250/160000] lr: 4.109e-05, eta: 9:10:29, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2171, decode.loss_mask: 0.4712, decode.loss_dice: 0.6910, decode.d0.loss_cls: 1.1986, decode.d0.loss_mask: 0.5073, decode.d0.loss_dice: 0.7668, decode.d1.loss_cls: 0.2777, decode.d1.loss_mask: 0.4865, decode.d1.loss_dice: 0.7412, decode.d2.loss_cls: 0.2439, decode.d2.loss_mask: 0.4795, decode.d2.loss_dice: 0.7093, decode.d3.loss_cls: 0.2344, decode.d3.loss_mask: 0.4753, decode.d3.loss_dice: 0.6944, decode.d4.loss_cls: 0.2258, decode.d4.loss_mask: 0.4739, decode.d4.loss_dice: 0.6960, decode.d5.loss_cls: 0.2235, decode.d5.loss_mask: 0.4731, decode.d5.loss_dice: 0.6970, decode.d6.loss_cls: 0.2197, decode.d6.loss_mask: 0.4708, decode.d6.loss_dice: 0.6927, decode.d7.loss_cls: 0.2170, decode.d7.loss_mask: 0.4715, decode.d7.loss_dice: 0.6950, decode.d8.loss_cls: 0.2153, decode.d8.loss_mask: 0.4717, decode.d8.loss_dice: 0.6964, loss: 15.1337, grad_norm: 48.9154 2023-11-12 11:54:49,601 - mmseg - INFO - Iter [94300/160000] lr: 4.106e-05, eta: 9:10:03, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1866, decode.loss_mask: 0.4658, decode.loss_dice: 0.6603, decode.d0.loss_cls: 1.1321, decode.d0.loss_mask: 0.5007, decode.d0.loss_dice: 0.7157, decode.d1.loss_cls: 0.2449, decode.d1.loss_mask: 0.4842, decode.d1.loss_dice: 0.6932, decode.d2.loss_cls: 0.2166, decode.d2.loss_mask: 0.4726, decode.d2.loss_dice: 0.6761, decode.d3.loss_cls: 0.2033, decode.d3.loss_mask: 0.4712, decode.d3.loss_dice: 0.6657, decode.d4.loss_cls: 0.1988, decode.d4.loss_mask: 0.4706, decode.d4.loss_dice: 0.6630, decode.d5.loss_cls: 0.1879, decode.d5.loss_mask: 0.4691, decode.d5.loss_dice: 0.6659, decode.d6.loss_cls: 0.1879, decode.d6.loss_mask: 0.4680, decode.d6.loss_dice: 0.6588, decode.d7.loss_cls: 0.1854, decode.d7.loss_mask: 0.4677, decode.d7.loss_dice: 0.6603, decode.d8.loss_cls: 0.1839, decode.d8.loss_mask: 0.4670, decode.d8.loss_dice: 0.6605, loss: 14.3837, grad_norm: 45.9813 2023-11-12 11:55:13,351 - mmseg - INFO - Iter [94350/160000] lr: 4.103e-05, eta: 9:09:37, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1803, decode.loss_mask: 0.4658, decode.loss_dice: 0.6698, decode.d0.loss_cls: 1.1385, decode.d0.loss_mask: 0.5000, decode.d0.loss_dice: 0.7298, decode.d1.loss_cls: 0.2424, decode.d1.loss_mask: 0.4787, decode.d1.loss_dice: 0.7044, decode.d2.loss_cls: 0.2100, decode.d2.loss_mask: 0.4733, decode.d2.loss_dice: 0.6841, decode.d3.loss_cls: 0.1965, decode.d3.loss_mask: 0.4685, decode.d3.loss_dice: 0.6766, decode.d4.loss_cls: 0.1897, decode.d4.loss_mask: 0.4686, decode.d4.loss_dice: 0.6790, decode.d5.loss_cls: 0.1838, decode.d5.loss_mask: 0.4682, decode.d5.loss_dice: 0.6756, decode.d6.loss_cls: 0.1814, decode.d6.loss_mask: 0.4673, decode.d6.loss_dice: 0.6685, decode.d7.loss_cls: 0.1771, decode.d7.loss_mask: 0.4667, decode.d7.loss_dice: 0.6708, decode.d8.loss_cls: 0.1780, decode.d8.loss_mask: 0.4660, decode.d8.loss_dice: 0.6707, loss: 14.4302, grad_norm: 44.5519 2023-11-12 11:55:37,345 - mmseg - INFO - Iter [94400/160000] lr: 4.100e-05, eta: 9:09:11, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2245, decode.loss_mask: 0.4625, decode.loss_dice: 0.7082, decode.d0.loss_cls: 1.2230, decode.d0.loss_mask: 0.4936, decode.d0.loss_dice: 0.7720, decode.d1.loss_cls: 0.2883, decode.d1.loss_mask: 0.4762, decode.d1.loss_dice: 0.7397, decode.d2.loss_cls: 0.2571, decode.d2.loss_mask: 0.4664, decode.d2.loss_dice: 0.7238, decode.d3.loss_cls: 0.2416, decode.d3.loss_mask: 0.4617, decode.d3.loss_dice: 0.7129, decode.d4.loss_cls: 0.2357, decode.d4.loss_mask: 0.4613, decode.d4.loss_dice: 0.7121, decode.d5.loss_cls: 0.2260, decode.d5.loss_mask: 0.4623, decode.d5.loss_dice: 0.7102, decode.d6.loss_cls: 0.2295, decode.d6.loss_mask: 0.4633, decode.d6.loss_dice: 0.7107, decode.d7.loss_cls: 0.2292, decode.d7.loss_mask: 0.4633, decode.d7.loss_dice: 0.7042, decode.d8.loss_cls: 0.2269, decode.d8.loss_mask: 0.4612, decode.d8.loss_dice: 0.7093, loss: 15.2569, grad_norm: 47.5782 2023-11-12 11:56:01,213 - mmseg - INFO - Iter [94450/160000] lr: 4.097e-05, eta: 9:08:45, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2081, decode.loss_mask: 0.4564, decode.loss_dice: 0.7135, decode.d0.loss_cls: 1.2068, decode.d0.loss_mask: 0.4875, decode.d0.loss_dice: 0.7777, decode.d1.loss_cls: 0.2807, decode.d1.loss_mask: 0.4730, decode.d1.loss_dice: 0.7529, decode.d2.loss_cls: 0.2404, decode.d2.loss_mask: 0.4663, decode.d2.loss_dice: 0.7281, decode.d3.loss_cls: 0.2282, decode.d3.loss_mask: 0.4593, decode.d3.loss_dice: 0.7158, decode.d4.loss_cls: 0.2207, decode.d4.loss_mask: 0.4595, decode.d4.loss_dice: 0.7127, decode.d5.loss_cls: 0.2153, decode.d5.loss_mask: 0.4579, decode.d5.loss_dice: 0.7132, decode.d6.loss_cls: 0.2148, decode.d6.loss_mask: 0.4579, decode.d6.loss_dice: 0.7076, decode.d7.loss_cls: 0.2147, decode.d7.loss_mask: 0.4571, decode.d7.loss_dice: 0.7124, decode.d8.loss_cls: 0.2075, decode.d8.loss_mask: 0.4568, decode.d8.loss_dice: 0.7127, loss: 15.1154, grad_norm: 47.1713 2023-11-12 11:56:25,304 - mmseg - INFO - Iter [94500/160000] lr: 4.094e-05, eta: 9:08:19, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2053, decode.loss_mask: 0.4541, decode.loss_dice: 0.6750, decode.d0.loss_cls: 1.1699, decode.d0.loss_mask: 0.4832, decode.d0.loss_dice: 0.7416, decode.d1.loss_cls: 0.2665, decode.d1.loss_mask: 0.4667, decode.d1.loss_dice: 0.7088, decode.d2.loss_cls: 0.2428, decode.d2.loss_mask: 0.4592, decode.d2.loss_dice: 0.6892, decode.d3.loss_cls: 0.2250, decode.d3.loss_mask: 0.4551, decode.d3.loss_dice: 0.6802, decode.d4.loss_cls: 0.2131, decode.d4.loss_mask: 0.4548, decode.d4.loss_dice: 0.6839, decode.d5.loss_cls: 0.2118, decode.d5.loss_mask: 0.4546, decode.d5.loss_dice: 0.6775, decode.d6.loss_cls: 0.2126, decode.d6.loss_mask: 0.4546, decode.d6.loss_dice: 0.6776, decode.d7.loss_cls: 0.2063, decode.d7.loss_mask: 0.4538, decode.d7.loss_dice: 0.6764, decode.d8.loss_cls: 0.2070, decode.d8.loss_mask: 0.4537, decode.d8.loss_dice: 0.6761, loss: 14.6361, grad_norm: 48.3545 2023-11-12 11:56:49,144 - mmseg - INFO - Iter [94550/160000] lr: 4.091e-05, eta: 9:07:53, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2016, decode.loss_mask: 0.4508, decode.loss_dice: 0.6859, decode.d0.loss_cls: 1.2035, decode.d0.loss_mask: 0.4824, decode.d0.loss_dice: 0.7453, decode.d1.loss_cls: 0.2706, decode.d1.loss_mask: 0.4638, decode.d1.loss_dice: 0.7221, decode.d2.loss_cls: 0.2358, decode.d2.loss_mask: 0.4562, decode.d2.loss_dice: 0.7029, decode.d3.loss_cls: 0.2238, decode.d3.loss_mask: 0.4487, decode.d3.loss_dice: 0.6880, decode.d4.loss_cls: 0.2145, decode.d4.loss_mask: 0.4495, decode.d4.loss_dice: 0.6871, decode.d5.loss_cls: 0.2087, decode.d5.loss_mask: 0.4513, decode.d5.loss_dice: 0.6858, decode.d6.loss_cls: 0.2068, decode.d6.loss_mask: 0.4504, decode.d6.loss_dice: 0.6860, decode.d7.loss_cls: 0.2009, decode.d7.loss_mask: 0.4518, decode.d7.loss_dice: 0.6857, decode.d8.loss_cls: 0.2043, decode.d8.loss_mask: 0.4502, decode.d8.loss_dice: 0.6839, loss: 14.6982, grad_norm: 47.5487 2023-11-12 11:57:12,993 - mmseg - INFO - Iter [94600/160000] lr: 4.088e-05, eta: 9:07:27, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1902, decode.loss_mask: 0.4627, decode.loss_dice: 0.6790, decode.d0.loss_cls: 1.1862, decode.d0.loss_mask: 0.4919, decode.d0.loss_dice: 0.7400, decode.d1.loss_cls: 0.2518, decode.d1.loss_mask: 0.4777, decode.d1.loss_dice: 0.7153, decode.d2.loss_cls: 0.2263, decode.d2.loss_mask: 0.4683, decode.d2.loss_dice: 0.6976, decode.d3.loss_cls: 0.2093, decode.d3.loss_mask: 0.4654, decode.d3.loss_dice: 0.6860, decode.d4.loss_cls: 0.2018, decode.d4.loss_mask: 0.4629, decode.d4.loss_dice: 0.6895, decode.d5.loss_cls: 0.1958, decode.d5.loss_mask: 0.4639, decode.d5.loss_dice: 0.6907, decode.d6.loss_cls: 0.1945, decode.d6.loss_mask: 0.4635, decode.d6.loss_dice: 0.6818, decode.d7.loss_cls: 0.1889, decode.d7.loss_mask: 0.4641, decode.d7.loss_dice: 0.6825, decode.d8.loss_cls: 0.1903, decode.d8.loss_mask: 0.4641, decode.d8.loss_dice: 0.6839, loss: 14.6658, grad_norm: 46.5634 2023-11-12 11:57:36,736 - mmseg - INFO - Iter [94650/160000] lr: 4.084e-05, eta: 9:07:01, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2080, decode.loss_mask: 0.4743, decode.loss_dice: 0.7034, decode.d0.loss_cls: 1.1779, decode.d0.loss_mask: 0.5109, decode.d0.loss_dice: 0.7669, decode.d1.loss_cls: 0.2755, decode.d1.loss_mask: 0.4927, decode.d1.loss_dice: 0.7467, decode.d2.loss_cls: 0.2457, decode.d2.loss_mask: 0.4833, decode.d2.loss_dice: 0.7234, decode.d3.loss_cls: 0.2272, decode.d3.loss_mask: 0.4807, decode.d3.loss_dice: 0.7113, decode.d4.loss_cls: 0.2176, decode.d4.loss_mask: 0.4797, decode.d4.loss_dice: 0.7135, decode.d5.loss_cls: 0.2144, decode.d5.loss_mask: 0.4773, decode.d5.loss_dice: 0.7092, decode.d6.loss_cls: 0.2129, decode.d6.loss_mask: 0.4768, decode.d6.loss_dice: 0.7030, decode.d7.loss_cls: 0.2100, decode.d7.loss_mask: 0.4757, decode.d7.loss_dice: 0.7041, decode.d8.loss_cls: 0.2107, decode.d8.loss_mask: 0.4760, decode.d8.loss_dice: 0.7068, loss: 15.2153, grad_norm: 50.8239 2023-11-12 11:58:00,588 - mmseg - INFO - Iter [94700/160000] lr: 4.081e-05, eta: 9:06:35, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2135, decode.loss_mask: 0.4543, decode.loss_dice: 0.6982, decode.d0.loss_cls: 1.2508, decode.d0.loss_mask: 0.4830, decode.d0.loss_dice: 0.7643, decode.d1.loss_cls: 0.2942, decode.d1.loss_mask: 0.4669, decode.d1.loss_dice: 0.7340, decode.d2.loss_cls: 0.2507, decode.d2.loss_mask: 0.4635, decode.d2.loss_dice: 0.7174, decode.d3.loss_cls: 0.2409, decode.d3.loss_mask: 0.4572, decode.d3.loss_dice: 0.7040, decode.d4.loss_cls: 0.2327, decode.d4.loss_mask: 0.4561, decode.d4.loss_dice: 0.7081, decode.d5.loss_cls: 0.2223, decode.d5.loss_mask: 0.4555, decode.d5.loss_dice: 0.7092, decode.d6.loss_cls: 0.2196, decode.d6.loss_mask: 0.4537, decode.d6.loss_dice: 0.7011, decode.d7.loss_cls: 0.2208, decode.d7.loss_mask: 0.4533, decode.d7.loss_dice: 0.7011, decode.d8.loss_cls: 0.2192, decode.d8.loss_mask: 0.4545, decode.d8.loss_dice: 0.7039, loss: 15.1043, grad_norm: 45.0257 2023-11-12 11:58:26,746 - mmseg - INFO - Iter [94750/160000] lr: 4.078e-05, eta: 9:06:11, time: 0.523, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1969, decode.loss_mask: 0.4594, decode.loss_dice: 0.6850, decode.d0.loss_cls: 1.1985, decode.d0.loss_mask: 0.4958, decode.d0.loss_dice: 0.7475, decode.d1.loss_cls: 0.2572, decode.d1.loss_mask: 0.4753, decode.d1.loss_dice: 0.7195, decode.d2.loss_cls: 0.2189, decode.d2.loss_mask: 0.4666, decode.d2.loss_dice: 0.7062, decode.d3.loss_cls: 0.2163, decode.d3.loss_mask: 0.4593, decode.d3.loss_dice: 0.6900, decode.d4.loss_cls: 0.2044, decode.d4.loss_mask: 0.4608, decode.d4.loss_dice: 0.6938, decode.d5.loss_cls: 0.1984, decode.d5.loss_mask: 0.4603, decode.d5.loss_dice: 0.6926, decode.d6.loss_cls: 0.1977, decode.d6.loss_mask: 0.4599, decode.d6.loss_dice: 0.6889, decode.d7.loss_cls: 0.1986, decode.d7.loss_mask: 0.4601, decode.d7.loss_dice: 0.6914, decode.d8.loss_cls: 0.1936, decode.d8.loss_mask: 0.4598, decode.d8.loss_dice: 0.6888, loss: 14.7412, grad_norm: 49.3876 2023-11-12 11:58:50,586 - mmseg - INFO - Iter [94800/160000] lr: 4.075e-05, eta: 9:05:45, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1864, decode.loss_mask: 0.4533, decode.loss_dice: 0.6799, decode.d0.loss_cls: 1.1680, decode.d0.loss_mask: 0.4841, decode.d0.loss_dice: 0.7423, decode.d1.loss_cls: 0.2499, decode.d1.loss_mask: 0.4673, decode.d1.loss_dice: 0.7130, decode.d2.loss_cls: 0.2131, decode.d2.loss_mask: 0.4587, decode.d2.loss_dice: 0.6950, decode.d3.loss_cls: 0.2035, decode.d3.loss_mask: 0.4542, decode.d3.loss_dice: 0.6837, decode.d4.loss_cls: 0.1982, decode.d4.loss_mask: 0.4529, decode.d4.loss_dice: 0.6840, decode.d5.loss_cls: 0.1948, decode.d5.loss_mask: 0.4529, decode.d5.loss_dice: 0.6844, decode.d6.loss_cls: 0.1927, decode.d6.loss_mask: 0.4529, decode.d6.loss_dice: 0.6817, decode.d7.loss_cls: 0.1882, decode.d7.loss_mask: 0.4532, decode.d7.loss_dice: 0.6785, decode.d8.loss_cls: 0.1882, decode.d8.loss_mask: 0.4528, decode.d8.loss_dice: 0.6789, loss: 14.4867, grad_norm: 51.5925 2023-11-12 11:59:14,282 - mmseg - INFO - Iter [94850/160000] lr: 4.072e-05, eta: 9:05:19, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1936, decode.loss_mask: 0.4410, decode.loss_dice: 0.6932, decode.d0.loss_cls: 1.2017, decode.d0.loss_mask: 0.4738, decode.d0.loss_dice: 0.7543, decode.d1.loss_cls: 0.2602, decode.d1.loss_mask: 0.4559, decode.d1.loss_dice: 0.7220, decode.d2.loss_cls: 0.2273, decode.d2.loss_mask: 0.4472, decode.d2.loss_dice: 0.7106, decode.d3.loss_cls: 0.2088, decode.d3.loss_mask: 0.4434, decode.d3.loss_dice: 0.6989, decode.d4.loss_cls: 0.2077, decode.d4.loss_mask: 0.4407, decode.d4.loss_dice: 0.6975, decode.d5.loss_cls: 0.2017, decode.d5.loss_mask: 0.4419, decode.d5.loss_dice: 0.6947, decode.d6.loss_cls: 0.1965, decode.d6.loss_mask: 0.4409, decode.d6.loss_dice: 0.6922, decode.d7.loss_cls: 0.1921, decode.d7.loss_mask: 0.4405, decode.d7.loss_dice: 0.6941, decode.d8.loss_cls: 0.1910, decode.d8.loss_mask: 0.4402, decode.d8.loss_dice: 0.6919, loss: 14.5955, grad_norm: 46.4696 2023-11-12 11:59:38,256 - mmseg - INFO - Iter [94900/160000] lr: 4.069e-05, eta: 9:04:53, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2072, decode.loss_mask: 0.4485, decode.loss_dice: 0.6840, decode.d0.loss_cls: 1.2118, decode.d0.loss_mask: 0.4816, decode.d0.loss_dice: 0.7477, decode.d1.loss_cls: 0.2845, decode.d1.loss_mask: 0.4677, decode.d1.loss_dice: 0.7133, decode.d2.loss_cls: 0.2427, decode.d2.loss_mask: 0.4565, decode.d2.loss_dice: 0.6997, decode.d3.loss_cls: 0.2283, decode.d3.loss_mask: 0.4480, decode.d3.loss_dice: 0.6841, decode.d4.loss_cls: 0.2217, decode.d4.loss_mask: 0.4500, decode.d4.loss_dice: 0.6868, decode.d5.loss_cls: 0.2159, decode.d5.loss_mask: 0.4483, decode.d5.loss_dice: 0.6883, decode.d6.loss_cls: 0.2088, decode.d6.loss_mask: 0.4495, decode.d6.loss_dice: 0.6796, decode.d7.loss_cls: 0.2083, decode.d7.loss_mask: 0.4482, decode.d7.loss_dice: 0.6809, decode.d8.loss_cls: 0.2056, decode.d8.loss_mask: 0.4487, decode.d8.loss_dice: 0.6823, loss: 14.7287, grad_norm: 48.6094 2023-11-12 12:00:02,080 - mmseg - INFO - Iter [94950/160000] lr: 4.066e-05, eta: 9:04:27, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2129, decode.loss_mask: 0.4630, decode.loss_dice: 0.7184, decode.d0.loss_cls: 1.2108, decode.d0.loss_mask: 0.4948, decode.d0.loss_dice: 0.7901, decode.d1.loss_cls: 0.2841, decode.d1.loss_mask: 0.4800, decode.d1.loss_dice: 0.7602, decode.d2.loss_cls: 0.2459, decode.d2.loss_mask: 0.4732, decode.d2.loss_dice: 0.7425, decode.d3.loss_cls: 0.2341, decode.d3.loss_mask: 0.4688, decode.d3.loss_dice: 0.7286, decode.d4.loss_cls: 0.2206, decode.d4.loss_mask: 0.4667, decode.d4.loss_dice: 0.7261, decode.d5.loss_cls: 0.2184, decode.d5.loss_mask: 0.4672, decode.d5.loss_dice: 0.7202, decode.d6.loss_cls: 0.2142, decode.d6.loss_mask: 0.4645, decode.d6.loss_dice: 0.7198, decode.d7.loss_cls: 0.2124, decode.d7.loss_mask: 0.4653, decode.d7.loss_dice: 0.7245, decode.d8.loss_cls: 0.2116, decode.d8.loss_mask: 0.4638, decode.d8.loss_dice: 0.7197, loss: 15.3225, grad_norm: 45.8717 2023-11-12 12:00:25,857 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 12:00:25,857 - mmseg - INFO - Iter [95000/160000] lr: 4.063e-05, eta: 9:04:01, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1865, decode.loss_mask: 0.4674, decode.loss_dice: 0.6866, decode.d0.loss_cls: 1.1551, decode.d0.loss_mask: 0.4972, decode.d0.loss_dice: 0.7431, decode.d1.loss_cls: 0.2536, decode.d1.loss_mask: 0.4812, decode.d1.loss_dice: 0.7175, decode.d2.loss_cls: 0.2146, decode.d2.loss_mask: 0.4704, decode.d2.loss_dice: 0.7053, decode.d3.loss_cls: 0.2059, decode.d3.loss_mask: 0.4667, decode.d3.loss_dice: 0.6932, decode.d4.loss_cls: 0.1962, decode.d4.loss_mask: 0.4663, decode.d4.loss_dice: 0.6907, decode.d5.loss_cls: 0.1897, decode.d5.loss_mask: 0.4666, decode.d5.loss_dice: 0.6895, decode.d6.loss_cls: 0.1928, decode.d6.loss_mask: 0.4665, decode.d6.loss_dice: 0.6846, decode.d7.loss_cls: 0.1907, decode.d7.loss_mask: 0.4666, decode.d7.loss_dice: 0.6823, decode.d8.loss_cls: 0.1848, decode.d8.loss_mask: 0.4668, decode.d8.loss_dice: 0.6878, loss: 14.6662, grad_norm: 48.9157 2023-11-12 12:00:49,647 - mmseg - INFO - Iter [95050/160000] lr: 4.059e-05, eta: 9:03:35, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2001, decode.loss_mask: 0.4612, decode.loss_dice: 0.6944, decode.d0.loss_cls: 1.1797, decode.d0.loss_mask: 0.4910, decode.d0.loss_dice: 0.7490, decode.d1.loss_cls: 0.2728, decode.d1.loss_mask: 0.4704, decode.d1.loss_dice: 0.7231, decode.d2.loss_cls: 0.2344, decode.d2.loss_mask: 0.4658, decode.d2.loss_dice: 0.7085, decode.d3.loss_cls: 0.2178, decode.d3.loss_mask: 0.4620, decode.d3.loss_dice: 0.6934, decode.d4.loss_cls: 0.2107, decode.d4.loss_mask: 0.4632, decode.d4.loss_dice: 0.6971, decode.d5.loss_cls: 0.2011, decode.d5.loss_mask: 0.4624, decode.d5.loss_dice: 0.6955, decode.d6.loss_cls: 0.2032, decode.d6.loss_mask: 0.4603, decode.d6.loss_dice: 0.6902, decode.d7.loss_cls: 0.2017, decode.d7.loss_mask: 0.4597, decode.d7.loss_dice: 0.6924, decode.d8.loss_cls: 0.1984, decode.d8.loss_mask: 0.4598, decode.d8.loss_dice: 0.6912, loss: 14.8107, grad_norm: 47.1477 2023-11-12 12:01:13,406 - mmseg - INFO - Iter [95100/160000] lr: 4.056e-05, eta: 9:03:09, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1879, decode.loss_mask: 0.4612, decode.loss_dice: 0.6984, decode.d0.loss_cls: 1.1664, decode.d0.loss_mask: 0.4959, decode.d0.loss_dice: 0.7604, decode.d1.loss_cls: 0.2703, decode.d1.loss_mask: 0.4798, decode.d1.loss_dice: 0.7352, decode.d2.loss_cls: 0.2250, decode.d2.loss_mask: 0.4741, decode.d2.loss_dice: 0.7154, decode.d3.loss_cls: 0.2061, decode.d3.loss_mask: 0.4671, decode.d3.loss_dice: 0.7026, decode.d4.loss_cls: 0.1992, decode.d4.loss_mask: 0.4653, decode.d4.loss_dice: 0.7041, decode.d5.loss_cls: 0.1903, decode.d5.loss_mask: 0.4657, decode.d5.loss_dice: 0.7024, decode.d6.loss_cls: 0.1890, decode.d6.loss_mask: 0.4641, decode.d6.loss_dice: 0.7010, decode.d7.loss_cls: 0.1900, decode.d7.loss_mask: 0.4624, decode.d7.loss_dice: 0.7000, decode.d8.loss_cls: 0.1888, decode.d8.loss_mask: 0.4638, decode.d8.loss_dice: 0.6997, loss: 14.8319, grad_norm: 49.7701 2023-11-12 12:01:37,242 - mmseg - INFO - Iter [95150/160000] lr: 4.053e-05, eta: 9:02:43, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2012, decode.loss_mask: 0.4484, decode.loss_dice: 0.6930, decode.d0.loss_cls: 1.1546, decode.d0.loss_mask: 0.4766, decode.d0.loss_dice: 0.7394, decode.d1.loss_cls: 0.2622, decode.d1.loss_mask: 0.4595, decode.d1.loss_dice: 0.7215, decode.d2.loss_cls: 0.2309, decode.d2.loss_mask: 0.4529, decode.d2.loss_dice: 0.7109, decode.d3.loss_cls: 0.2187, decode.d3.loss_mask: 0.4514, decode.d3.loss_dice: 0.6920, decode.d4.loss_cls: 0.2085, decode.d4.loss_mask: 0.4503, decode.d4.loss_dice: 0.6941, decode.d5.loss_cls: 0.2074, decode.d5.loss_mask: 0.4489, decode.d5.loss_dice: 0.6928, decode.d6.loss_cls: 0.2051, decode.d6.loss_mask: 0.4486, decode.d6.loss_dice: 0.6858, decode.d7.loss_cls: 0.2037, decode.d7.loss_mask: 0.4492, decode.d7.loss_dice: 0.6903, decode.d8.loss_cls: 0.2020, decode.d8.loss_mask: 0.4491, decode.d8.loss_dice: 0.6846, loss: 14.6335, grad_norm: 46.0862 2023-11-12 12:02:01,193 - mmseg - INFO - Iter [95200/160000] lr: 4.050e-05, eta: 9:02:17, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2140, decode.loss_mask: 0.4593, decode.loss_dice: 0.7065, decode.d0.loss_cls: 1.1976, decode.d0.loss_mask: 0.4939, decode.d0.loss_dice: 0.7585, decode.d1.loss_cls: 0.2787, decode.d1.loss_mask: 0.4739, decode.d1.loss_dice: 0.7352, decode.d2.loss_cls: 0.2485, decode.d2.loss_mask: 0.4663, decode.d2.loss_dice: 0.7223, decode.d3.loss_cls: 0.2320, decode.d3.loss_mask: 0.4630, decode.d3.loss_dice: 0.7069, decode.d4.loss_cls: 0.2203, decode.d4.loss_mask: 0.4604, decode.d4.loss_dice: 0.7066, decode.d5.loss_cls: 0.2226, decode.d5.loss_mask: 0.4593, decode.d5.loss_dice: 0.7089, decode.d6.loss_cls: 0.2177, decode.d6.loss_mask: 0.4596, decode.d6.loss_dice: 0.7012, decode.d7.loss_cls: 0.2200, decode.d7.loss_mask: 0.4591, decode.d7.loss_dice: 0.7060, decode.d8.loss_cls: 0.2131, decode.d8.loss_mask: 0.4589, decode.d8.loss_dice: 0.7045, loss: 15.0748, grad_norm: 49.0280 2023-11-12 12:02:25,011 - mmseg - INFO - Iter [95250/160000] lr: 4.047e-05, eta: 9:01:51, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2023, decode.loss_mask: 0.4543, decode.loss_dice: 0.6967, decode.d0.loss_cls: 1.2089, decode.d0.loss_mask: 0.4916, decode.d0.loss_dice: 0.7586, decode.d1.loss_cls: 0.2633, decode.d1.loss_mask: 0.4669, decode.d1.loss_dice: 0.7273, decode.d2.loss_cls: 0.2341, decode.d2.loss_mask: 0.4611, decode.d2.loss_dice: 0.7149, decode.d3.loss_cls: 0.2226, decode.d3.loss_mask: 0.4553, decode.d3.loss_dice: 0.7005, decode.d4.loss_cls: 0.2168, decode.d4.loss_mask: 0.4550, decode.d4.loss_dice: 0.6989, decode.d5.loss_cls: 0.2089, decode.d5.loss_mask: 0.4535, decode.d5.loss_dice: 0.6974, decode.d6.loss_cls: 0.2053, decode.d6.loss_mask: 0.4564, decode.d6.loss_dice: 0.6928, decode.d7.loss_cls: 0.2000, decode.d7.loss_mask: 0.4548, decode.d7.loss_dice: 0.6997, decode.d8.loss_cls: 0.2018, decode.d8.loss_mask: 0.4548, decode.d8.loss_dice: 0.6962, loss: 14.8507, grad_norm: 47.3602 2023-11-12 12:02:48,875 - mmseg - INFO - Iter [95300/160000] lr: 4.044e-05, eta: 9:01:25, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2021, decode.loss_mask: 0.4427, decode.loss_dice: 0.6854, decode.d0.loss_cls: 1.1798, decode.d0.loss_mask: 0.4706, decode.d0.loss_dice: 0.7463, decode.d1.loss_cls: 0.2735, decode.d1.loss_mask: 0.4517, decode.d1.loss_dice: 0.7101, decode.d2.loss_cls: 0.2374, decode.d2.loss_mask: 0.4482, decode.d2.loss_dice: 0.6988, decode.d3.loss_cls: 0.2223, decode.d3.loss_mask: 0.4469, decode.d3.loss_dice: 0.6885, decode.d4.loss_cls: 0.2103, decode.d4.loss_mask: 0.4464, decode.d4.loss_dice: 0.6911, decode.d5.loss_cls: 0.2084, decode.d5.loss_mask: 0.4440, decode.d5.loss_dice: 0.6861, decode.d6.loss_cls: 0.2066, decode.d6.loss_mask: 0.4418, decode.d6.loss_dice: 0.6812, decode.d7.loss_cls: 0.2062, decode.d7.loss_mask: 0.4420, decode.d7.loss_dice: 0.6832, decode.d8.loss_cls: 0.2074, decode.d8.loss_mask: 0.4426, decode.d8.loss_dice: 0.6846, loss: 14.5860, grad_norm: 47.5048 2023-11-12 12:03:12,903 - mmseg - INFO - Iter [95350/160000] lr: 4.041e-05, eta: 9:00:59, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2070, decode.loss_mask: 0.4562, decode.loss_dice: 0.6774, decode.d0.loss_cls: 1.1920, decode.d0.loss_mask: 0.4948, decode.d0.loss_dice: 0.7382, decode.d1.loss_cls: 0.2779, decode.d1.loss_mask: 0.4758, decode.d1.loss_dice: 0.7102, decode.d2.loss_cls: 0.2325, decode.d2.loss_mask: 0.4682, decode.d2.loss_dice: 0.7023, decode.d3.loss_cls: 0.2233, decode.d3.loss_mask: 0.4619, decode.d3.loss_dice: 0.6874, decode.d4.loss_cls: 0.2135, decode.d4.loss_mask: 0.4593, decode.d4.loss_dice: 0.6850, decode.d5.loss_cls: 0.2115, decode.d5.loss_mask: 0.4589, decode.d5.loss_dice: 0.6844, decode.d6.loss_cls: 0.2106, decode.d6.loss_mask: 0.4587, decode.d6.loss_dice: 0.6758, decode.d7.loss_cls: 0.2061, decode.d7.loss_mask: 0.4574, decode.d7.loss_dice: 0.6789, decode.d8.loss_cls: 0.2049, decode.d8.loss_mask: 0.4575, decode.d8.loss_dice: 0.6851, loss: 14.7524, grad_norm: 43.1843 2023-11-12 12:03:36,760 - mmseg - INFO - Iter [95400/160000] lr: 4.038e-05, eta: 9:00:33, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1872, decode.loss_mask: 0.4624, decode.loss_dice: 0.6889, decode.d0.loss_cls: 1.1650, decode.d0.loss_mask: 0.5026, decode.d0.loss_dice: 0.7487, decode.d1.loss_cls: 0.2461, decode.d1.loss_mask: 0.4808, decode.d1.loss_dice: 0.7201, decode.d2.loss_cls: 0.2153, decode.d2.loss_mask: 0.4691, decode.d2.loss_dice: 0.7080, decode.d3.loss_cls: 0.2061, decode.d3.loss_mask: 0.4678, decode.d3.loss_dice: 0.6975, decode.d4.loss_cls: 0.1920, decode.d4.loss_mask: 0.4644, decode.d4.loss_dice: 0.6906, decode.d5.loss_cls: 0.1951, decode.d5.loss_mask: 0.4648, decode.d5.loss_dice: 0.6908, decode.d6.loss_cls: 0.1913, decode.d6.loss_mask: 0.4644, decode.d6.loss_dice: 0.6844, decode.d7.loss_cls: 0.1912, decode.d7.loss_mask: 0.4643, decode.d7.loss_dice: 0.6886, decode.d8.loss_cls: 0.1887, decode.d8.loss_mask: 0.4631, decode.d8.loss_dice: 0.6873, loss: 14.6865, grad_norm: 47.0024 2023-11-12 12:04:00,547 - mmseg - INFO - Iter [95450/160000] lr: 4.034e-05, eta: 9:00:07, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2005, decode.loss_mask: 0.4553, decode.loss_dice: 0.6852, decode.d0.loss_cls: 1.1675, decode.d0.loss_mask: 0.4855, decode.d0.loss_dice: 0.7460, decode.d1.loss_cls: 0.2597, decode.d1.loss_mask: 0.4742, decode.d1.loss_dice: 0.7249, decode.d2.loss_cls: 0.2262, decode.d2.loss_mask: 0.4626, decode.d2.loss_dice: 0.7030, decode.d3.loss_cls: 0.2137, decode.d3.loss_mask: 0.4568, decode.d3.loss_dice: 0.6939, decode.d4.loss_cls: 0.2081, decode.d4.loss_mask: 0.4567, decode.d4.loss_dice: 0.6939, decode.d5.loss_cls: 0.2085, decode.d5.loss_mask: 0.4566, decode.d5.loss_dice: 0.6911, decode.d6.loss_cls: 0.2083, decode.d6.loss_mask: 0.4552, decode.d6.loss_dice: 0.6827, decode.d7.loss_cls: 0.2066, decode.d7.loss_mask: 0.4543, decode.d7.loss_dice: 0.6878, decode.d8.loss_cls: 0.1975, decode.d8.loss_mask: 0.4556, decode.d8.loss_dice: 0.6897, loss: 14.7076, grad_norm: 43.9241 2023-11-12 12:04:24,353 - mmseg - INFO - Iter [95500/160000] lr: 4.031e-05, eta: 8:59:41, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1952, decode.loss_mask: 0.4481, decode.loss_dice: 0.6946, decode.d0.loss_cls: 1.1568, decode.d0.loss_mask: 0.4796, decode.d0.loss_dice: 0.7511, decode.d1.loss_cls: 0.2682, decode.d1.loss_mask: 0.4598, decode.d1.loss_dice: 0.7191, decode.d2.loss_cls: 0.2236, decode.d2.loss_mask: 0.4530, decode.d2.loss_dice: 0.7055, decode.d3.loss_cls: 0.2118, decode.d3.loss_mask: 0.4498, decode.d3.loss_dice: 0.6999, decode.d4.loss_cls: 0.2082, decode.d4.loss_mask: 0.4473, decode.d4.loss_dice: 0.6971, decode.d5.loss_cls: 0.2033, decode.d5.loss_mask: 0.4481, decode.d5.loss_dice: 0.6928, decode.d6.loss_cls: 0.2002, decode.d6.loss_mask: 0.4471, decode.d6.loss_dice: 0.6934, decode.d7.loss_cls: 0.1988, decode.d7.loss_mask: 0.4480, decode.d7.loss_dice: 0.6962, decode.d8.loss_cls: 0.1924, decode.d8.loss_mask: 0.4477, decode.d8.loss_dice: 0.6954, loss: 14.6325, grad_norm: 45.6993 2023-11-12 12:04:48,159 - mmseg - INFO - Iter [95550/160000] lr: 4.028e-05, eta: 8:59:15, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1878, decode.loss_mask: 0.4478, decode.loss_dice: 0.6634, decode.d0.loss_cls: 1.1638, decode.d0.loss_mask: 0.4793, decode.d0.loss_dice: 0.7177, decode.d1.loss_cls: 0.2498, decode.d1.loss_mask: 0.4636, decode.d1.loss_dice: 0.6966, decode.d2.loss_cls: 0.2228, decode.d2.loss_mask: 0.4527, decode.d2.loss_dice: 0.6803, decode.d3.loss_cls: 0.2059, decode.d3.loss_mask: 0.4477, decode.d3.loss_dice: 0.6691, decode.d4.loss_cls: 0.1947, decode.d4.loss_mask: 0.4483, decode.d4.loss_dice: 0.6708, decode.d5.loss_cls: 0.1915, decode.d5.loss_mask: 0.4484, decode.d5.loss_dice: 0.6723, decode.d6.loss_cls: 0.1913, decode.d6.loss_mask: 0.4478, decode.d6.loss_dice: 0.6659, decode.d7.loss_cls: 0.1886, decode.d7.loss_mask: 0.4470, decode.d7.loss_dice: 0.6691, decode.d8.loss_cls: 0.1861, decode.d8.loss_mask: 0.4472, decode.d8.loss_dice: 0.6657, loss: 14.2832, grad_norm: 48.2507 2023-11-12 12:05:12,090 - mmseg - INFO - Iter [95600/160000] lr: 4.025e-05, eta: 8:58:49, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1725, decode.loss_mask: 0.4491, decode.loss_dice: 0.6718, decode.d0.loss_cls: 1.1803, decode.d0.loss_mask: 0.4853, decode.d0.loss_dice: 0.7256, decode.d1.loss_cls: 0.2386, decode.d1.loss_mask: 0.4657, decode.d1.loss_dice: 0.7015, decode.d2.loss_cls: 0.2067, decode.d2.loss_mask: 0.4551, decode.d2.loss_dice: 0.6824, decode.d3.loss_cls: 0.1920, decode.d3.loss_mask: 0.4512, decode.d3.loss_dice: 0.6756, decode.d4.loss_cls: 0.1832, decode.d4.loss_mask: 0.4517, decode.d4.loss_dice: 0.6733, decode.d5.loss_cls: 0.1832, decode.d5.loss_mask: 0.4494, decode.d5.loss_dice: 0.6735, decode.d6.loss_cls: 0.1793, decode.d6.loss_mask: 0.4497, decode.d6.loss_dice: 0.6705, decode.d7.loss_cls: 0.1738, decode.d7.loss_mask: 0.4493, decode.d7.loss_dice: 0.6718, decode.d8.loss_cls: 0.1735, decode.d8.loss_mask: 0.4488, decode.d8.loss_dice: 0.6725, loss: 14.2569, grad_norm: 50.1417 2023-11-12 12:05:35,940 - mmseg - INFO - Iter [95650/160000] lr: 4.022e-05, eta: 8:58:23, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1974, decode.loss_mask: 0.4621, decode.loss_dice: 0.6965, decode.d0.loss_cls: 1.1862, decode.d0.loss_mask: 0.4959, decode.d0.loss_dice: 0.7528, decode.d1.loss_cls: 0.2696, decode.d1.loss_mask: 0.4785, decode.d1.loss_dice: 0.7238, decode.d2.loss_cls: 0.2410, decode.d2.loss_mask: 0.4666, decode.d2.loss_dice: 0.7071, decode.d3.loss_cls: 0.2257, decode.d3.loss_mask: 0.4630, decode.d3.loss_dice: 0.6979, decode.d4.loss_cls: 0.2086, decode.d4.loss_mask: 0.4657, decode.d4.loss_dice: 0.7001, decode.d5.loss_cls: 0.2040, decode.d5.loss_mask: 0.4652, decode.d5.loss_dice: 0.6993, decode.d6.loss_cls: 0.2030, decode.d6.loss_mask: 0.4643, decode.d6.loss_dice: 0.6955, decode.d7.loss_cls: 0.1992, decode.d7.loss_mask: 0.4634, decode.d7.loss_dice: 0.7020, decode.d8.loss_cls: 0.2020, decode.d8.loss_mask: 0.4625, decode.d8.loss_dice: 0.7022, loss: 14.9010, grad_norm: 51.8616 2023-11-12 12:05:59,789 - mmseg - INFO - Iter [95700/160000] lr: 4.019e-05, eta: 8:57:57, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2031, decode.loss_mask: 0.4604, decode.loss_dice: 0.6898, decode.d0.loss_cls: 1.1804, decode.d0.loss_mask: 0.4998, decode.d0.loss_dice: 0.7540, decode.d1.loss_cls: 0.2645, decode.d1.loss_mask: 0.4720, decode.d1.loss_dice: 0.7224, decode.d2.loss_cls: 0.2277, decode.d2.loss_mask: 0.4654, decode.d2.loss_dice: 0.7079, decode.d3.loss_cls: 0.2156, decode.d3.loss_mask: 0.4640, decode.d3.loss_dice: 0.6964, decode.d4.loss_cls: 0.2112, decode.d4.loss_mask: 0.4630, decode.d4.loss_dice: 0.6946, decode.d5.loss_cls: 0.2041, decode.d5.loss_mask: 0.4622, decode.d5.loss_dice: 0.6941, decode.d6.loss_cls: 0.1994, decode.d6.loss_mask: 0.4611, decode.d6.loss_dice: 0.6944, decode.d7.loss_cls: 0.1980, decode.d7.loss_mask: 0.4606, decode.d7.loss_dice: 0.6932, decode.d8.loss_cls: 0.2036, decode.d8.loss_mask: 0.4608, decode.d8.loss_dice: 0.6945, loss: 14.8183, grad_norm: 47.2797 2023-11-12 12:06:23,971 - mmseg - INFO - Iter [95750/160000] lr: 4.016e-05, eta: 8:57:32, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2070, decode.loss_mask: 0.4606, decode.loss_dice: 0.6913, decode.d0.loss_cls: 1.1834, decode.d0.loss_mask: 0.4970, decode.d0.loss_dice: 0.7533, decode.d1.loss_cls: 0.2758, decode.d1.loss_mask: 0.4772, decode.d1.loss_dice: 0.7268, decode.d2.loss_cls: 0.2390, decode.d2.loss_mask: 0.4680, decode.d2.loss_dice: 0.7070, decode.d3.loss_cls: 0.2221, decode.d3.loss_mask: 0.4634, decode.d3.loss_dice: 0.6961, decode.d4.loss_cls: 0.2105, decode.d4.loss_mask: 0.4646, decode.d4.loss_dice: 0.6936, decode.d5.loss_cls: 0.2038, decode.d5.loss_mask: 0.4615, decode.d5.loss_dice: 0.6949, decode.d6.loss_cls: 0.2050, decode.d6.loss_mask: 0.4620, decode.d6.loss_dice: 0.6901, decode.d7.loss_cls: 0.2041, decode.d7.loss_mask: 0.4616, decode.d7.loss_dice: 0.6915, decode.d8.loss_cls: 0.2046, decode.d8.loss_mask: 0.4603, decode.d8.loss_dice: 0.6915, loss: 14.8677, grad_norm: 49.3316 2023-11-12 12:06:52,849 - mmseg - INFO - Iter [95800/160000] lr: 4.013e-05, eta: 8:57:09, time: 0.578, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2109, decode.loss_mask: 0.4674, decode.loss_dice: 0.7078, decode.d0.loss_cls: 1.1876, decode.d0.loss_mask: 0.4997, decode.d0.loss_dice: 0.7600, decode.d1.loss_cls: 0.2874, decode.d1.loss_mask: 0.4760, decode.d1.loss_dice: 0.7353, decode.d2.loss_cls: 0.2518, decode.d2.loss_mask: 0.4729, decode.d2.loss_dice: 0.7190, decode.d3.loss_cls: 0.2330, decode.d3.loss_mask: 0.4721, decode.d3.loss_dice: 0.7142, decode.d4.loss_cls: 0.2237, decode.d4.loss_mask: 0.4694, decode.d4.loss_dice: 0.7100, decode.d5.loss_cls: 0.2247, decode.d5.loss_mask: 0.4688, decode.d5.loss_dice: 0.7096, decode.d6.loss_cls: 0.2213, decode.d6.loss_mask: 0.4685, decode.d6.loss_dice: 0.7051, decode.d7.loss_cls: 0.2142, decode.d7.loss_mask: 0.4670, decode.d7.loss_dice: 0.7056, decode.d8.loss_cls: 0.2121, decode.d8.loss_mask: 0.4662, decode.d8.loss_dice: 0.7043, loss: 15.1655, grad_norm: 45.8127 2023-11-12 12:07:22,146 - mmseg - INFO - Iter [95850/160000] lr: 4.009e-05, eta: 8:56:47, time: 0.586, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2087, decode.loss_mask: 0.4608, decode.loss_dice: 0.6930, decode.d0.loss_cls: 1.1786, decode.d0.loss_mask: 0.4925, decode.d0.loss_dice: 0.7526, decode.d1.loss_cls: 0.2733, decode.d1.loss_mask: 0.4771, decode.d1.loss_dice: 0.7267, decode.d2.loss_cls: 0.2348, decode.d2.loss_mask: 0.4668, decode.d2.loss_dice: 0.7070, decode.d3.loss_cls: 0.2202, decode.d3.loss_mask: 0.4661, decode.d3.loss_dice: 0.6991, decode.d4.loss_cls: 0.2155, decode.d4.loss_mask: 0.4642, decode.d4.loss_dice: 0.6960, decode.d5.loss_cls: 0.2103, decode.d5.loss_mask: 0.4635, decode.d5.loss_dice: 0.6973, decode.d6.loss_cls: 0.2119, decode.d6.loss_mask: 0.4624, decode.d6.loss_dice: 0.6908, decode.d7.loss_cls: 0.2085, decode.d7.loss_mask: 0.4594, decode.d7.loss_dice: 0.6896, decode.d8.loss_cls: 0.2089, decode.d8.loss_mask: 0.4611, decode.d8.loss_dice: 0.6908, loss: 14.8874, grad_norm: 47.4617 2023-11-12 12:07:46,498 - mmseg - INFO - Iter [95900/160000] lr: 4.006e-05, eta: 8:56:21, time: 0.487, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1986, decode.loss_mask: 0.4453, decode.loss_dice: 0.6872, decode.d0.loss_cls: 1.1560, decode.d0.loss_mask: 0.4764, decode.d0.loss_dice: 0.7521, decode.d1.loss_cls: 0.2675, decode.d1.loss_mask: 0.4612, decode.d1.loss_dice: 0.7155, decode.d2.loss_cls: 0.2281, decode.d2.loss_mask: 0.4521, decode.d2.loss_dice: 0.7038, decode.d3.loss_cls: 0.2138, decode.d3.loss_mask: 0.4466, decode.d3.loss_dice: 0.6894, decode.d4.loss_cls: 0.2098, decode.d4.loss_mask: 0.4469, decode.d4.loss_dice: 0.6923, decode.d5.loss_cls: 0.2059, decode.d5.loss_mask: 0.4455, decode.d5.loss_dice: 0.6918, decode.d6.loss_cls: 0.2023, decode.d6.loss_mask: 0.4457, decode.d6.loss_dice: 0.6879, decode.d7.loss_cls: 0.2009, decode.d7.loss_mask: 0.4446, decode.d7.loss_dice: 0.6847, decode.d8.loss_cls: 0.1992, decode.d8.loss_mask: 0.4440, decode.d8.loss_dice: 0.6859, loss: 14.5812, grad_norm: 47.5106 2023-11-12 12:08:11,502 - mmseg - INFO - Iter [95950/160000] lr: 4.003e-05, eta: 8:55:56, time: 0.500, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2187, decode.loss_mask: 0.4609, decode.loss_dice: 0.6914, decode.d0.loss_cls: 1.1918, decode.d0.loss_mask: 0.4940, decode.d0.loss_dice: 0.7562, decode.d1.loss_cls: 0.2888, decode.d1.loss_mask: 0.4750, decode.d1.loss_dice: 0.7323, decode.d2.loss_cls: 0.2553, decode.d2.loss_mask: 0.4673, decode.d2.loss_dice: 0.7065, decode.d3.loss_cls: 0.2415, decode.d3.loss_mask: 0.4592, decode.d3.loss_dice: 0.6909, decode.d4.loss_cls: 0.2293, decode.d4.loss_mask: 0.4598, decode.d4.loss_dice: 0.6959, decode.d5.loss_cls: 0.2299, decode.d5.loss_mask: 0.4592, decode.d5.loss_dice: 0.6936, decode.d6.loss_cls: 0.2236, decode.d6.loss_mask: 0.4594, decode.d6.loss_dice: 0.6943, decode.d7.loss_cls: 0.2160, decode.d7.loss_mask: 0.4597, decode.d7.loss_dice: 0.6938, decode.d8.loss_cls: 0.2181, decode.d8.loss_mask: 0.4601, decode.d8.loss_dice: 0.6955, loss: 15.0179, grad_norm: 51.5280 2023-11-12 12:08:38,092 - mmseg - INFO - Saving checkpoint at 96000 iterations 2023-11-12 12:08:41,967 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 12:08:41,967 - mmseg - INFO - Iter [96000/160000] lr: 4.000e-05, eta: 8:55:35, time: 0.609, data_time: 0.058, memory: 41146, decode.loss_cls: 0.2125, decode.loss_mask: 0.4589, decode.loss_dice: 0.6900, decode.d0.loss_cls: 1.1861, decode.d0.loss_mask: 0.4918, decode.d0.loss_dice: 0.7567, decode.d1.loss_cls: 0.2706, decode.d1.loss_mask: 0.4755, decode.d1.loss_dice: 0.7300, decode.d2.loss_cls: 0.2374, decode.d2.loss_mask: 0.4654, decode.d2.loss_dice: 0.7094, decode.d3.loss_cls: 0.2239, decode.d3.loss_mask: 0.4606, decode.d3.loss_dice: 0.6935, decode.d4.loss_cls: 0.2194, decode.d4.loss_mask: 0.4584, decode.d4.loss_dice: 0.6947, decode.d5.loss_cls: 0.2130, decode.d5.loss_mask: 0.4573, decode.d5.loss_dice: 0.6920, decode.d6.loss_cls: 0.2161, decode.d6.loss_mask: 0.4565, decode.d6.loss_dice: 0.6895, decode.d7.loss_cls: 0.2109, decode.d7.loss_mask: 0.4591, decode.d7.loss_dice: 0.6924, decode.d8.loss_cls: 0.2088, decode.d8.loss_mask: 0.4593, decode.d8.loss_dice: 0.6882, loss: 14.8778, grad_norm: 47.2416 2023-11-12 12:09:01,325 - mmseg - INFO - per class results: 2023-11-12 12:09:01,330 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.18 | 87.58 | | building | 82.02 | 91.09 | | sky | 94.87 | 97.08 | | floor | 83.07 | 89.82 | | tree | 75.68 | 89.05 | | ceiling | 84.75 | 89.82 | | road | 84.76 | 90.18 | | bed | 91.22 | 96.4 | | windowpane | 64.88 | 79.5 | | grass | 66.17 | 78.5 | | cabinet | 63.35 | 76.63 | | sidewalk | 68.06 | 83.45 | | person | 84.57 | 93.47 | | earth | 40.59 | 55.16 | | door | 53.27 | 66.13 | | table | 68.29 | 81.26 | | mountain | 66.04 | 77.69 | | plant | 54.02 | 70.34 | | curtain | 77.78 | 89.5 | | chair | 62.33 | 73.3 | | car | 86.28 | 92.78 | | water | 49.67 | 60.59 | | painting | 77.84 | 90.23 | | sofa | 69.25 | 86.59 | | shelf | 41.33 | 58.99 | | house | 46.49 | 80.44 | | sea | 60.92 | 90.91 | | mirror | 65.96 | 84.91 | | rug | 68.22 | 80.74 | | field | 25.64 | 45.62 | | armchair | 47.24 | 64.1 | | seat | 59.31 | 79.03 | | fence | 47.57 | 64.02 | | desk | 52.43 | 74.21 | | rock | 50.34 | 78.72 | | wardrobe | 49.0 | 71.99 | | lamp | 70.16 | 84.19 | | bathtub | 82.81 | 88.65 | | railing | 34.25 | 55.35 | | cushion | 61.9 | 72.47 | | base | 37.44 | 57.51 | | box | 30.9 | 42.64 | | column | 38.29 | 51.76 | | signboard | 37.88 | 57.8 | | chest of drawers | 41.42 | 60.39 | | counter | 23.91 | 37.33 | | sand | 40.65 | 45.39 | | sink | 78.54 | 87.28 | | skyscraper | 36.9 | 41.38 | | fireplace | 73.43 | 93.68 | | refrigerator | 76.42 | 82.03 | | grandstand | 47.83 | 66.35 | | path | 26.19 | 37.18 | | stairs | 32.77 | 43.57 | | runway | 81.75 | 92.44 | | case | 39.2 | 59.41 | | pool table | 94.87 | 97.62 | | pillow | 61.71 | 73.47 | | screen door | 70.5 | 92.22 | | stairway | 38.81 | 47.35 | | river | 16.53 | 26.0 | | bridge | 65.62 | 89.09 | | bookcase | 33.33 | 53.68 | | blind | 50.79 | 57.73 | | coffee table | 65.58 | 86.45 | | toilet | 87.77 | 91.59 | | flower | 48.22 | 67.31 | | book | 51.71 | 76.95 | | hill | 6.63 | 12.85 | | bench | 53.28 | 67.28 | | countertop | 48.21 | 71.0 | | stove | 84.57 | 90.16 | | palm | 55.0 | 70.72 | | kitchen island | 60.07 | 87.41 | | computer | 70.85 | 79.07 | | swivel chair | 41.11 | 67.85 | | boat | 47.87 | 53.99 | | bar | 38.36 | 49.8 | | arcade machine | 78.6 | 84.31 | | hovel | 29.7 | 45.21 | | bus | 93.25 | 95.93 | | towel | 66.09 | 81.56 | | light | 61.65 | 76.93 | | truck | 34.42 | 57.65 | | tower | 20.39 | 34.41 | | chandelier | 71.14 | 86.72 | | awning | 34.14 | 49.8 | | streetlight | 42.33 | 63.27 | | booth | 28.71 | 37.85 | | television receiver | 71.23 | 81.38 | | airplane | 68.58 | 77.62 | | dirt track | 5.09 | 35.82 | | apparel | 26.98 | 45.32 | | pole | 32.93 | 49.5 | | land | 3.28 | 6.15 | | bannister | 17.68 | 29.4 | | escalator | 20.6 | 22.59 | | ottoman | 56.0 | 70.42 | | bottle | 33.53 | 44.58 | | buffet | 46.58 | 53.96 | | poster | 23.65 | 29.36 | | stage | 7.68 | 34.6 | | van | 50.48 | 68.1 | | ship | 7.3 | 10.49 | | fountain | 21.35 | 21.88 | | conveyer belt | 68.21 | 94.3 | | canopy | 30.75 | 45.45 | | washer | 71.5 | 73.53 | | plaything | 46.13 | 68.62 | | swimming pool | 64.88 | 65.91 | | stool | 48.05 | 72.28 | | barrel | 83.26 | 98.35 | | basket | 43.99 | 56.97 | | waterfall | 65.86 | 93.77 | | tent | 95.73 | 98.0 | | bag | 21.16 | 26.96 | | minibike | 76.14 | 92.11 | | cradle | 86.43 | 97.57 | | oven | 25.13 | 68.54 | | ball | 55.19 | 68.81 | | food | 66.74 | 87.39 | | step | 18.07 | 27.01 | | tank | 56.53 | 65.73 | | trade name | 23.26 | 30.15 | | microwave | 41.49 | 46.08 | | pot | 54.77 | 65.34 | | animal | 61.54 | 63.31 | | bicycle | 57.67 | 77.37 | | lake | 58.18 | 63.61 | | dishwasher | 78.34 | 84.64 | | screen | 62.12 | 88.42 | | blanket | 30.0 | 36.68 | | sculpture | 66.53 | 86.39 | | hood | 79.24 | 93.1 | | sconce | 56.92 | 76.39 | | vase | 54.26 | 69.28 | | traffic light | 41.97 | 64.7 | | tray | 16.71 | 28.07 | | ashcan | 49.73 | 67.74 | | fan | 68.67 | 84.9 | | pier | 34.87 | 44.32 | | crt screen | 3.31 | 8.96 | | plate | 60.19 | 78.85 | | monitor | 10.2 | 14.01 | | bulletin board | 50.07 | 76.27 | | shower | 3.15 | 30.15 | | radiator | 71.36 | 86.21 | | glass | 21.84 | 25.17 | | clock | 56.25 | 68.24 | | flag | 47.03 | 54.37 | +---------------------+-------+-------+ 2023-11-12 12:09:01,331 - mmseg - INFO - Summary: 2023-11-12 12:09:01,331 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.91 | 52.42 | 66.23 | +-------+-------+-------+ 2023-11-12 12:09:01,331 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 12:09:01,332 - mmseg - INFO - Iter(val) [250] aAcc: 0.8391, mIoU: 0.5242, mAcc: 0.6623, IoU.wall: 0.7918, IoU.building: 0.8202, IoU.sky: 0.9487, IoU.floor: 0.8307, IoU.tree: 0.7568, IoU.ceiling: 0.8475, IoU.road: 0.8476, IoU.bed : 0.9122, IoU.windowpane: 0.6488, IoU.grass: 0.6617, IoU.cabinet: 0.6335, IoU.sidewalk: 0.6806, IoU.person: 0.8457, IoU.earth: 0.4059, IoU.door: 0.5327, IoU.table: 0.6829, IoU.mountain: 0.6604, IoU.plant: 0.5402, IoU.curtain: 0.7778, IoU.chair: 0.6233, IoU.car: 0.8628, IoU.water: 0.4967, IoU.painting: 0.7784, IoU.sofa: 0.6925, IoU.shelf: 0.4133, IoU.house: 0.4649, IoU.sea: 0.6092, IoU.mirror: 0.6596, IoU.rug: 0.6822, IoU.field: 0.2564, IoU.armchair: 0.4724, IoU.seat: 0.5931, IoU.fence: 0.4757, IoU.desk: 0.5243, IoU.rock: 0.5034, IoU.wardrobe: 0.4900, IoU.lamp: 0.7016, IoU.bathtub: 0.8281, IoU.railing: 0.3425, IoU.cushion: 0.6190, IoU.base: 0.3744, IoU.box: 0.3090, IoU.column: 0.3829, IoU.signboard: 0.3788, IoU.chest of drawers: 0.4142, IoU.counter: 0.2391, IoU.sand: 0.4065, IoU.sink: 0.7854, IoU.skyscraper: 0.3690, IoU.fireplace: 0.7343, IoU.refrigerator: 0.7642, IoU.grandstand: 0.4783, IoU.path: 0.2619, IoU.stairs: 0.3277, IoU.runway: 0.8175, IoU.case: 0.3920, IoU.pool table: 0.9487, IoU.pillow: 0.6171, IoU.screen door: 0.7050, IoU.stairway: 0.3881, IoU.river: 0.1653, IoU.bridge: 0.6562, IoU.bookcase: 0.3333, IoU.blind: 0.5079, IoU.coffee table: 0.6558, IoU.toilet: 0.8777, IoU.flower: 0.4822, IoU.book: 0.5171, IoU.hill: 0.0663, IoU.bench: 0.5328, IoU.countertop: 0.4821, IoU.stove: 0.8457, IoU.palm: 0.5500, IoU.kitchen island: 0.6007, IoU.computer: 0.7085, IoU.swivel chair: 0.4111, IoU.boat: 0.4787, IoU.bar: 0.3836, IoU.arcade machine: 0.7860, IoU.hovel: 0.2970, IoU.bus: 0.9325, IoU.towel: 0.6609, IoU.light: 0.6165, IoU.truck: 0.3442, IoU.tower: 0.2039, IoU.chandelier: 0.7114, IoU.awning: 0.3414, IoU.streetlight: 0.4233, IoU.booth: 0.2871, IoU.television receiver: 0.7123, IoU.airplane: 0.6858, IoU.dirt track: 0.0509, IoU.apparel: 0.2698, IoU.pole: 0.3293, IoU.land: 0.0328, IoU.bannister: 0.1768, IoU.escalator: 0.2060, IoU.ottoman: 0.5600, IoU.bottle: 0.3353, IoU.buffet: 0.4658, IoU.poster: 0.2365, IoU.stage: 0.0768, IoU.van: 0.5048, IoU.ship: 0.0730, IoU.fountain: 0.2135, IoU.conveyer belt: 0.6821, IoU.canopy: 0.3075, IoU.washer: 0.7150, IoU.plaything: 0.4613, IoU.swimming pool: 0.6488, IoU.stool: 0.4805, IoU.barrel: 0.8326, IoU.basket: 0.4399, IoU.waterfall: 0.6586, IoU.tent: 0.9573, IoU.bag: 0.2116, IoU.minibike: 0.7614, IoU.cradle: 0.8643, IoU.oven: 0.2513, IoU.ball: 0.5519, IoU.food: 0.6674, IoU.step: 0.1807, IoU.tank: 0.5653, IoU.trade name: 0.2326, IoU.microwave: 0.4149, IoU.pot: 0.5477, IoU.animal: 0.6154, IoU.bicycle: 0.5767, IoU.lake: 0.5818, IoU.dishwasher: 0.7834, IoU.screen: 0.6212, IoU.blanket: 0.3000, IoU.sculpture: 0.6653, IoU.hood: 0.7924, IoU.sconce: 0.5692, IoU.vase: 0.5426, IoU.traffic light: 0.4197, IoU.tray: 0.1671, IoU.ashcan: 0.4973, IoU.fan: 0.6867, IoU.pier: 0.3487, IoU.crt screen: 0.0331, IoU.plate: 0.6019, IoU.monitor: 0.1020, IoU.bulletin board: 0.5007, IoU.shower: 0.0315, IoU.radiator: 0.7136, IoU.glass: 0.2184, IoU.clock: 0.5625, IoU.flag: 0.4703, Acc.wall: 0.8758, Acc.building: 0.9109, Acc.sky: 0.9708, Acc.floor: 0.8982, Acc.tree: 0.8905, Acc.ceiling: 0.8982, Acc.road: 0.9018, Acc.bed : 0.9640, Acc.windowpane: 0.7950, Acc.grass: 0.7850, Acc.cabinet: 0.7663, Acc.sidewalk: 0.8345, Acc.person: 0.9347, Acc.earth: 0.5516, Acc.door: 0.6613, Acc.table: 0.8126, Acc.mountain: 0.7769, Acc.plant: 0.7034, Acc.curtain: 0.8950, Acc.chair: 0.7330, Acc.car: 0.9278, Acc.water: 0.6059, Acc.painting: 0.9023, Acc.sofa: 0.8659, Acc.shelf: 0.5899, Acc.house: 0.8044, Acc.sea: 0.9091, Acc.mirror: 0.8491, Acc.rug: 0.8074, Acc.field: 0.4562, Acc.armchair: 0.6410, Acc.seat: 0.7903, Acc.fence: 0.6402, Acc.desk: 0.7421, Acc.rock: 0.7872, Acc.wardrobe: 0.7199, Acc.lamp: 0.8419, Acc.bathtub: 0.8865, Acc.railing: 0.5535, Acc.cushion: 0.7247, Acc.base: 0.5751, Acc.box: 0.4264, Acc.column: 0.5176, Acc.signboard: 0.5780, Acc.chest of drawers: 0.6039, Acc.counter: 0.3733, Acc.sand: 0.4539, Acc.sink: 0.8728, Acc.skyscraper: 0.4138, Acc.fireplace: 0.9368, Acc.refrigerator: 0.8203, Acc.grandstand: 0.6635, Acc.path: 0.3718, Acc.stairs: 0.4357, Acc.runway: 0.9244, Acc.case: 0.5941, Acc.pool table: 0.9762, Acc.pillow: 0.7347, Acc.screen door: 0.9222, Acc.stairway: 0.4735, Acc.river: 0.2600, Acc.bridge: 0.8909, Acc.bookcase: 0.5368, Acc.blind: 0.5773, Acc.coffee table: 0.8645, Acc.toilet: 0.9159, Acc.flower: 0.6731, Acc.book: 0.7695, Acc.hill: 0.1285, Acc.bench: 0.6728, Acc.countertop: 0.7100, Acc.stove: 0.9016, Acc.palm: 0.7072, Acc.kitchen island: 0.8741, Acc.computer: 0.7907, Acc.swivel chair: 0.6785, Acc.boat: 0.5399, Acc.bar: 0.4980, Acc.arcade machine: 0.8431, Acc.hovel: 0.4521, Acc.bus: 0.9593, Acc.towel: 0.8156, Acc.light: 0.7693, Acc.truck: 0.5765, Acc.tower: 0.3441, Acc.chandelier: 0.8672, Acc.awning: 0.4980, Acc.streetlight: 0.6327, Acc.booth: 0.3785, Acc.television receiver: 0.8138, Acc.airplane: 0.7762, Acc.dirt track: 0.3582, Acc.apparel: 0.4532, Acc.pole: 0.4950, Acc.land: 0.0615, Acc.bannister: 0.2940, Acc.escalator: 0.2259, Acc.ottoman: 0.7042, Acc.bottle: 0.4458, Acc.buffet: 0.5396, Acc.poster: 0.2936, Acc.stage: 0.3460, Acc.van: 0.6810, Acc.ship: 0.1049, Acc.fountain: 0.2188, Acc.conveyer belt: 0.9430, Acc.canopy: 0.4545, Acc.washer: 0.7353, Acc.plaything: 0.6862, Acc.swimming pool: 0.6591, Acc.stool: 0.7228, Acc.barrel: 0.9835, Acc.basket: 0.5697, Acc.waterfall: 0.9377, Acc.tent: 0.9800, Acc.bag: 0.2696, Acc.minibike: 0.9211, Acc.cradle: 0.9757, Acc.oven: 0.6854, Acc.ball: 0.6881, Acc.food: 0.8739, Acc.step: 0.2701, Acc.tank: 0.6573, Acc.trade name: 0.3015, Acc.microwave: 0.4608, Acc.pot: 0.6534, Acc.animal: 0.6331, Acc.bicycle: 0.7737, Acc.lake: 0.6361, Acc.dishwasher: 0.8464, Acc.screen: 0.8842, Acc.blanket: 0.3668, Acc.sculpture: 0.8639, Acc.hood: 0.9310, Acc.sconce: 0.7639, Acc.vase: 0.6928, Acc.traffic light: 0.6470, Acc.tray: 0.2807, Acc.ashcan: 0.6774, Acc.fan: 0.8490, Acc.pier: 0.4432, Acc.crt screen: 0.0896, Acc.plate: 0.7885, Acc.monitor: 0.1401, Acc.bulletin board: 0.7627, Acc.shower: 0.3015, Acc.radiator: 0.8621, Acc.glass: 0.2517, Acc.clock: 0.6824, Acc.flag: 0.5437 2023-11-12 12:09:25,231 - mmseg - INFO - Iter [96050/160000] lr: 3.997e-05, eta: 8:55:22, time: 0.865, data_time: 0.400, memory: 41146, decode.loss_cls: 0.1787, decode.loss_mask: 0.4515, decode.loss_dice: 0.6653, decode.d0.loss_cls: 1.1576, decode.d0.loss_mask: 0.4861, decode.d0.loss_dice: 0.7230, decode.d1.loss_cls: 0.2446, decode.d1.loss_mask: 0.4678, decode.d1.loss_dice: 0.6942, decode.d2.loss_cls: 0.2123, decode.d2.loss_mask: 0.4588, decode.d2.loss_dice: 0.6821, decode.d3.loss_cls: 0.1997, decode.d3.loss_mask: 0.4552, decode.d3.loss_dice: 0.6733, decode.d4.loss_cls: 0.1875, decode.d4.loss_mask: 0.4546, decode.d4.loss_dice: 0.6711, decode.d5.loss_cls: 0.1846, decode.d5.loss_mask: 0.4550, decode.d5.loss_dice: 0.6703, decode.d6.loss_cls: 0.1842, decode.d6.loss_mask: 0.4537, decode.d6.loss_dice: 0.6653, decode.d7.loss_cls: 0.1814, decode.d7.loss_mask: 0.4519, decode.d7.loss_dice: 0.6652, decode.d8.loss_cls: 0.1824, decode.d8.loss_mask: 0.4505, decode.d8.loss_dice: 0.6629, loss: 14.2709, grad_norm: 45.9920 2023-11-12 12:09:49,854 - mmseg - INFO - Iter [96100/160000] lr: 3.994e-05, eta: 8:54:56, time: 0.492, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1850, decode.loss_mask: 0.4429, decode.loss_dice: 0.6938, decode.d0.loss_cls: 1.1859, decode.d0.loss_mask: 0.4801, decode.d0.loss_dice: 0.7526, decode.d1.loss_cls: 0.2502, decode.d1.loss_mask: 0.4590, decode.d1.loss_dice: 0.7351, decode.d2.loss_cls: 0.2177, decode.d2.loss_mask: 0.4501, decode.d2.loss_dice: 0.7096, decode.d3.loss_cls: 0.1958, decode.d3.loss_mask: 0.4464, decode.d3.loss_dice: 0.6978, decode.d4.loss_cls: 0.1876, decode.d4.loss_mask: 0.4457, decode.d4.loss_dice: 0.6966, decode.d5.loss_cls: 0.1872, decode.d5.loss_mask: 0.4455, decode.d5.loss_dice: 0.6977, decode.d6.loss_cls: 0.1924, decode.d6.loss_mask: 0.4430, decode.d6.loss_dice: 0.6939, decode.d7.loss_cls: 0.1883, decode.d7.loss_mask: 0.4420, decode.d7.loss_dice: 0.6936, decode.d8.loss_cls: 0.1864, decode.d8.loss_mask: 0.4420, decode.d8.loss_dice: 0.6974, loss: 14.5413, grad_norm: 44.4025 2023-11-12 12:10:13,952 - mmseg - INFO - Iter [96150/160000] lr: 3.991e-05, eta: 8:54:30, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1979, decode.loss_mask: 0.4547, decode.loss_dice: 0.7073, decode.d0.loss_cls: 1.1813, decode.d0.loss_mask: 0.4869, decode.d0.loss_dice: 0.7697, decode.d1.loss_cls: 0.2584, decode.d1.loss_mask: 0.4695, decode.d1.loss_dice: 0.7402, decode.d2.loss_cls: 0.2283, decode.d2.loss_mask: 0.4611, decode.d2.loss_dice: 0.7273, decode.d3.loss_cls: 0.2186, decode.d3.loss_mask: 0.4567, decode.d3.loss_dice: 0.7110, decode.d4.loss_cls: 0.2092, decode.d4.loss_mask: 0.4574, decode.d4.loss_dice: 0.7139, decode.d5.loss_cls: 0.2057, decode.d5.loss_mask: 0.4568, decode.d5.loss_dice: 0.7082, decode.d6.loss_cls: 0.1989, decode.d6.loss_mask: 0.4573, decode.d6.loss_dice: 0.7068, decode.d7.loss_cls: 0.2011, decode.d7.loss_mask: 0.4566, decode.d7.loss_dice: 0.7069, decode.d8.loss_cls: 0.2000, decode.d8.loss_mask: 0.4556, decode.d8.loss_dice: 0.7081, loss: 14.9114, grad_norm: 49.7896 2023-11-12 12:10:44,667 - mmseg - INFO - Iter [96200/160000] lr: 3.988e-05, eta: 8:54:09, time: 0.614, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2121, decode.loss_mask: 0.4495, decode.loss_dice: 0.6896, decode.d0.loss_cls: 1.1980, decode.d0.loss_mask: 0.4803, decode.d0.loss_dice: 0.7625, decode.d1.loss_cls: 0.2739, decode.d1.loss_mask: 0.4610, decode.d1.loss_dice: 0.7261, decode.d2.loss_cls: 0.2441, decode.d2.loss_mask: 0.4544, decode.d2.loss_dice: 0.7062, decode.d3.loss_cls: 0.2296, decode.d3.loss_mask: 0.4495, decode.d3.loss_dice: 0.6914, decode.d4.loss_cls: 0.2166, decode.d4.loss_mask: 0.4493, decode.d4.loss_dice: 0.6968, decode.d5.loss_cls: 0.2196, decode.d5.loss_mask: 0.4496, decode.d5.loss_dice: 0.6938, decode.d6.loss_cls: 0.2120, decode.d6.loss_mask: 0.4480, decode.d6.loss_dice: 0.6882, decode.d7.loss_cls: 0.2096, decode.d7.loss_mask: 0.4487, decode.d7.loss_dice: 0.6904, decode.d8.loss_cls: 0.2114, decode.d8.loss_mask: 0.4488, decode.d8.loss_dice: 0.6881, loss: 14.7992, grad_norm: 45.3261 2023-11-12 12:11:08,701 - mmseg - INFO - Iter [96250/160000] lr: 3.984e-05, eta: 8:53:43, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1942, decode.loss_mask: 0.4537, decode.loss_dice: 0.6748, decode.d0.loss_cls: 1.1411, decode.d0.loss_mask: 0.4849, decode.d0.loss_dice: 0.7297, decode.d1.loss_cls: 0.2548, decode.d1.loss_mask: 0.4699, decode.d1.loss_dice: 0.7019, decode.d2.loss_cls: 0.2272, decode.d2.loss_mask: 0.4577, decode.d2.loss_dice: 0.6877, decode.d3.loss_cls: 0.2115, decode.d3.loss_mask: 0.4560, decode.d3.loss_dice: 0.6758, decode.d4.loss_cls: 0.2012, decode.d4.loss_mask: 0.4552, decode.d4.loss_dice: 0.6773, decode.d5.loss_cls: 0.1952, decode.d5.loss_mask: 0.4574, decode.d5.loss_dice: 0.6767, decode.d6.loss_cls: 0.1941, decode.d6.loss_mask: 0.4558, decode.d6.loss_dice: 0.6737, decode.d7.loss_cls: 0.1950, decode.d7.loss_mask: 0.4557, decode.d7.loss_dice: 0.6727, decode.d8.loss_cls: 0.1878, decode.d8.loss_mask: 0.4553, decode.d8.loss_dice: 0.6747, loss: 14.4486, grad_norm: 46.8877 2023-11-12 12:11:32,995 - mmseg - INFO - Iter [96300/160000] lr: 3.981e-05, eta: 8:53:17, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1869, decode.loss_mask: 0.4531, decode.loss_dice: 0.6809, decode.d0.loss_cls: 1.1578, decode.d0.loss_mask: 0.4904, decode.d0.loss_dice: 0.7393, decode.d1.loss_cls: 0.2608, decode.d1.loss_mask: 0.4687, decode.d1.loss_dice: 0.7140, decode.d2.loss_cls: 0.2188, decode.d2.loss_mask: 0.4619, decode.d2.loss_dice: 0.6973, decode.d3.loss_cls: 0.1989, decode.d3.loss_mask: 0.4578, decode.d3.loss_dice: 0.6855, decode.d4.loss_cls: 0.1975, decode.d4.loss_mask: 0.4561, decode.d4.loss_dice: 0.6820, decode.d5.loss_cls: 0.1887, decode.d5.loss_mask: 0.4561, decode.d5.loss_dice: 0.6846, decode.d6.loss_cls: 0.1965, decode.d6.loss_mask: 0.4537, decode.d6.loss_dice: 0.6807, decode.d7.loss_cls: 0.1896, decode.d7.loss_mask: 0.4541, decode.d7.loss_dice: 0.6813, decode.d8.loss_cls: 0.1887, decode.d8.loss_mask: 0.4539, decode.d8.loss_dice: 0.6803, loss: 14.5157, grad_norm: 46.0715 2023-11-12 12:11:57,347 - mmseg - INFO - Iter [96350/160000] lr: 3.978e-05, eta: 8:52:52, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2068, decode.loss_mask: 0.4637, decode.loss_dice: 0.6975, decode.d0.loss_cls: 1.1804, decode.d0.loss_mask: 0.4981, decode.d0.loss_dice: 0.7518, decode.d1.loss_cls: 0.2700, decode.d1.loss_mask: 0.4798, decode.d1.loss_dice: 0.7258, decode.d2.loss_cls: 0.2416, decode.d2.loss_mask: 0.4742, decode.d2.loss_dice: 0.7083, decode.d3.loss_cls: 0.2218, decode.d3.loss_mask: 0.4683, decode.d3.loss_dice: 0.7024, decode.d4.loss_cls: 0.2117, decode.d4.loss_mask: 0.4656, decode.d4.loss_dice: 0.6998, decode.d5.loss_cls: 0.2070, decode.d5.loss_mask: 0.4662, decode.d5.loss_dice: 0.7007, decode.d6.loss_cls: 0.2104, decode.d6.loss_mask: 0.4649, decode.d6.loss_dice: 0.6916, decode.d7.loss_cls: 0.2104, decode.d7.loss_mask: 0.4646, decode.d7.loss_dice: 0.6934, decode.d8.loss_cls: 0.2055, decode.d8.loss_mask: 0.4653, decode.d8.loss_dice: 0.6946, loss: 14.9422, grad_norm: 49.4718 2023-11-12 12:12:24,987 - mmseg - INFO - Iter [96400/160000] lr: 3.975e-05, eta: 8:52:28, time: 0.553, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1923, decode.loss_mask: 0.4463, decode.loss_dice: 0.6980, decode.d0.loss_cls: 1.1744, decode.d0.loss_mask: 0.4751, decode.d0.loss_dice: 0.7555, decode.d1.loss_cls: 0.2670, decode.d1.loss_mask: 0.4569, decode.d1.loss_dice: 0.7297, decode.d2.loss_cls: 0.2321, decode.d2.loss_mask: 0.4475, decode.d2.loss_dice: 0.7150, decode.d3.loss_cls: 0.2175, decode.d3.loss_mask: 0.4439, decode.d3.loss_dice: 0.7026, decode.d4.loss_cls: 0.2060, decode.d4.loss_mask: 0.4435, decode.d4.loss_dice: 0.6998, decode.d5.loss_cls: 0.2028, decode.d5.loss_mask: 0.4441, decode.d5.loss_dice: 0.7002, decode.d6.loss_cls: 0.1984, decode.d6.loss_mask: 0.4445, decode.d6.loss_dice: 0.6960, decode.d7.loss_cls: 0.1931, decode.d7.loss_mask: 0.4451, decode.d7.loss_dice: 0.6995, decode.d8.loss_cls: 0.1959, decode.d8.loss_mask: 0.4446, decode.d8.loss_dice: 0.6968, loss: 14.6640, grad_norm: 46.9205 2023-11-12 12:12:49,270 - mmseg - INFO - Iter [96450/160000] lr: 3.972e-05, eta: 8:52:03, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1908, decode.loss_mask: 0.4669, decode.loss_dice: 0.6984, decode.d0.loss_cls: 1.1482, decode.d0.loss_mask: 0.5021, decode.d0.loss_dice: 0.7470, decode.d1.loss_cls: 0.2538, decode.d1.loss_mask: 0.4816, decode.d1.loss_dice: 0.7295, decode.d2.loss_cls: 0.2193, decode.d2.loss_mask: 0.4727, decode.d2.loss_dice: 0.7190, decode.d3.loss_cls: 0.2062, decode.d3.loss_mask: 0.4714, decode.d3.loss_dice: 0.7058, decode.d4.loss_cls: 0.1971, decode.d4.loss_mask: 0.4695, decode.d4.loss_dice: 0.7045, decode.d5.loss_cls: 0.1902, decode.d5.loss_mask: 0.4688, decode.d5.loss_dice: 0.7042, decode.d6.loss_cls: 0.1985, decode.d6.loss_mask: 0.4668, decode.d6.loss_dice: 0.6960, decode.d7.loss_cls: 0.1966, decode.d7.loss_mask: 0.4674, decode.d7.loss_dice: 0.6956, decode.d8.loss_cls: 0.1882, decode.d8.loss_mask: 0.4677, decode.d8.loss_dice: 0.7037, loss: 14.8274, grad_norm: 49.3290 2023-11-12 12:13:22,440 - mmseg - INFO - Iter [96500/160000] lr: 3.969e-05, eta: 8:51:43, time: 0.663, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1823, decode.loss_mask: 0.4714, decode.loss_dice: 0.6751, decode.d0.loss_cls: 1.1754, decode.d0.loss_mask: 0.5043, decode.d0.loss_dice: 0.7363, decode.d1.loss_cls: 0.2487, decode.d1.loss_mask: 0.4885, decode.d1.loss_dice: 0.7118, decode.d2.loss_cls: 0.2148, decode.d2.loss_mask: 0.4772, decode.d2.loss_dice: 0.6943, decode.d3.loss_cls: 0.2041, decode.d3.loss_mask: 0.4741, decode.d3.loss_dice: 0.6806, decode.d4.loss_cls: 0.1953, decode.d4.loss_mask: 0.4730, decode.d4.loss_dice: 0.6785, decode.d5.loss_cls: 0.1893, decode.d5.loss_mask: 0.4730, decode.d5.loss_dice: 0.6788, decode.d6.loss_cls: 0.1850, decode.d6.loss_mask: 0.4721, decode.d6.loss_dice: 0.6741, decode.d7.loss_cls: 0.1849, decode.d7.loss_mask: 0.4716, decode.d7.loss_dice: 0.6726, decode.d8.loss_cls: 0.1839, decode.d8.loss_mask: 0.4709, decode.d8.loss_dice: 0.6778, loss: 14.6198, grad_norm: 47.5436 2023-11-12 12:13:48,405 - mmseg - INFO - Iter [96550/160000] lr: 3.966e-05, eta: 8:51:18, time: 0.519, data_time: 0.021, memory: 41146, decode.loss_cls: 0.1973, decode.loss_mask: 0.4333, decode.loss_dice: 0.6778, decode.d0.loss_cls: 1.1728, decode.d0.loss_mask: 0.4629, decode.d0.loss_dice: 0.7473, decode.d1.loss_cls: 0.2712, decode.d1.loss_mask: 0.4456, decode.d1.loss_dice: 0.7116, decode.d2.loss_cls: 0.2329, decode.d2.loss_mask: 0.4407, decode.d2.loss_dice: 0.6975, decode.d3.loss_cls: 0.2202, decode.d3.loss_mask: 0.4353, decode.d3.loss_dice: 0.6850, decode.d4.loss_cls: 0.2073, decode.d4.loss_mask: 0.4340, decode.d4.loss_dice: 0.6840, decode.d5.loss_cls: 0.2012, decode.d5.loss_mask: 0.4332, decode.d5.loss_dice: 0.6827, decode.d6.loss_cls: 0.1999, decode.d6.loss_mask: 0.4347, decode.d6.loss_dice: 0.6786, decode.d7.loss_cls: 0.1998, decode.d7.loss_mask: 0.4331, decode.d7.loss_dice: 0.6804, decode.d8.loss_cls: 0.1994, decode.d8.loss_mask: 0.4338, decode.d8.loss_dice: 0.6838, loss: 14.4173, grad_norm: 45.7797 2023-11-12 12:14:13,070 - mmseg - INFO - Iter [96600/160000] lr: 3.963e-05, eta: 8:50:53, time: 0.494, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1997, decode.loss_mask: 0.4628, decode.loss_dice: 0.6899, decode.d0.loss_cls: 1.1810, decode.d0.loss_mask: 0.4918, decode.d0.loss_dice: 0.7495, decode.d1.loss_cls: 0.2633, decode.d1.loss_mask: 0.4765, decode.d1.loss_dice: 0.7239, decode.d2.loss_cls: 0.2308, decode.d2.loss_mask: 0.4678, decode.d2.loss_dice: 0.7110, decode.d3.loss_cls: 0.2151, decode.d3.loss_mask: 0.4636, decode.d3.loss_dice: 0.6993, decode.d4.loss_cls: 0.2102, decode.d4.loss_mask: 0.4634, decode.d4.loss_dice: 0.6995, decode.d5.loss_cls: 0.2011, decode.d5.loss_mask: 0.4631, decode.d5.loss_dice: 0.6981, decode.d6.loss_cls: 0.2003, decode.d6.loss_mask: 0.4636, decode.d6.loss_dice: 0.6952, decode.d7.loss_cls: 0.2016, decode.d7.loss_mask: 0.4620, decode.d7.loss_dice: 0.6955, decode.d8.loss_cls: 0.2012, decode.d8.loss_mask: 0.4622, decode.d8.loss_dice: 0.6952, loss: 14.8379, grad_norm: 46.5174 2023-11-12 12:14:37,631 - mmseg - INFO - Iter [96650/160000] lr: 3.959e-05, eta: 8:50:27, time: 0.491, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2033, decode.loss_mask: 0.4561, decode.loss_dice: 0.7139, decode.d0.loss_cls: 1.1762, decode.d0.loss_mask: 0.4858, decode.d0.loss_dice: 0.7701, decode.d1.loss_cls: 0.2721, decode.d1.loss_mask: 0.4713, decode.d1.loss_dice: 0.7370, decode.d2.loss_cls: 0.2349, decode.d2.loss_mask: 0.4609, decode.d2.loss_dice: 0.7247, decode.d3.loss_cls: 0.2252, decode.d3.loss_mask: 0.4578, decode.d3.loss_dice: 0.7062, decode.d4.loss_cls: 0.2117, decode.d4.loss_mask: 0.4575, decode.d4.loss_dice: 0.7151, decode.d5.loss_cls: 0.2063, decode.d5.loss_mask: 0.4571, decode.d5.loss_dice: 0.7104, decode.d6.loss_cls: 0.2054, decode.d6.loss_mask: 0.4571, decode.d6.loss_dice: 0.7085, decode.d7.loss_cls: 0.2043, decode.d7.loss_mask: 0.4568, decode.d7.loss_dice: 0.7088, decode.d8.loss_cls: 0.2034, decode.d8.loss_mask: 0.4566, decode.d8.loss_dice: 0.7091, loss: 14.9636, grad_norm: 43.1784 2023-11-12 12:15:02,423 - mmseg - INFO - Iter [96700/160000] lr: 3.956e-05, eta: 8:50:02, time: 0.496, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1950, decode.loss_mask: 0.4538, decode.loss_dice: 0.6931, decode.d0.loss_cls: 1.1686, decode.d0.loss_mask: 0.4871, decode.d0.loss_dice: 0.7509, decode.d1.loss_cls: 0.2486, decode.d1.loss_mask: 0.4667, decode.d1.loss_dice: 0.7236, decode.d2.loss_cls: 0.2293, decode.d2.loss_mask: 0.4591, decode.d2.loss_dice: 0.7054, decode.d3.loss_cls: 0.2068, decode.d3.loss_mask: 0.4577, decode.d3.loss_dice: 0.6967, decode.d4.loss_cls: 0.1999, decode.d4.loss_mask: 0.4542, decode.d4.loss_dice: 0.7006, decode.d5.loss_cls: 0.1949, decode.d5.loss_mask: 0.4536, decode.d5.loss_dice: 0.6937, decode.d6.loss_cls: 0.1978, decode.d6.loss_mask: 0.4521, decode.d6.loss_dice: 0.6937, decode.d7.loss_cls: 0.1998, decode.d7.loss_mask: 0.4535, decode.d7.loss_dice: 0.6852, decode.d8.loss_cls: 0.1985, decode.d8.loss_mask: 0.4528, decode.d8.loss_dice: 0.6863, loss: 14.6589, grad_norm: 47.5701 2023-11-12 12:15:26,391 - mmseg - INFO - Iter [96750/160000] lr: 3.953e-05, eta: 8:49:36, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1792, decode.loss_mask: 0.4418, decode.loss_dice: 0.6707, decode.d0.loss_cls: 1.1659, decode.d0.loss_mask: 0.4771, decode.d0.loss_dice: 0.7321, decode.d1.loss_cls: 0.2509, decode.d1.loss_mask: 0.4556, decode.d1.loss_dice: 0.7052, decode.d2.loss_cls: 0.2090, decode.d2.loss_mask: 0.4482, decode.d2.loss_dice: 0.6885, decode.d3.loss_cls: 0.1988, decode.d3.loss_mask: 0.4463, decode.d3.loss_dice: 0.6770, decode.d4.loss_cls: 0.1867, decode.d4.loss_mask: 0.4460, decode.d4.loss_dice: 0.6760, decode.d5.loss_cls: 0.1816, decode.d5.loss_mask: 0.4448, decode.d5.loss_dice: 0.6756, decode.d6.loss_cls: 0.1824, decode.d6.loss_mask: 0.4436, decode.d6.loss_dice: 0.6715, decode.d7.loss_cls: 0.1811, decode.d7.loss_mask: 0.4425, decode.d7.loss_dice: 0.6699, decode.d8.loss_cls: 0.1813, decode.d8.loss_mask: 0.4425, decode.d8.loss_dice: 0.6723, loss: 14.2442, grad_norm: 50.1640 2023-11-12 12:15:50,367 - mmseg - INFO - Iter [96800/160000] lr: 3.950e-05, eta: 8:49:10, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2100, decode.loss_mask: 0.4739, decode.loss_dice: 0.6977, decode.d0.loss_cls: 1.1935, decode.d0.loss_mask: 0.5148, decode.d0.loss_dice: 0.7606, decode.d1.loss_cls: 0.2722, decode.d1.loss_mask: 0.4896, decode.d1.loss_dice: 0.7357, decode.d2.loss_cls: 0.2422, decode.d2.loss_mask: 0.4801, decode.d2.loss_dice: 0.7151, decode.d3.loss_cls: 0.2233, decode.d3.loss_mask: 0.4763, decode.d3.loss_dice: 0.7034, decode.d4.loss_cls: 0.2134, decode.d4.loss_mask: 0.4766, decode.d4.loss_dice: 0.6960, decode.d5.loss_cls: 0.2129, decode.d5.loss_mask: 0.4760, decode.d5.loss_dice: 0.7006, decode.d6.loss_cls: 0.2136, decode.d6.loss_mask: 0.4761, decode.d6.loss_dice: 0.6952, decode.d7.loss_cls: 0.2094, decode.d7.loss_mask: 0.4753, decode.d7.loss_dice: 0.6952, decode.d8.loss_cls: 0.2103, decode.d8.loss_mask: 0.4739, decode.d8.loss_dice: 0.6971, loss: 15.1101, grad_norm: 49.6212 2023-11-12 12:16:14,479 - mmseg - INFO - Iter [96850/160000] lr: 3.947e-05, eta: 8:48:45, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1968, decode.loss_mask: 0.4381, decode.loss_dice: 0.6706, decode.d0.loss_cls: 1.1783, decode.d0.loss_mask: 0.4712, decode.d0.loss_dice: 0.7305, decode.d1.loss_cls: 0.2569, decode.d1.loss_mask: 0.4543, decode.d1.loss_dice: 0.7051, decode.d2.loss_cls: 0.2249, decode.d2.loss_mask: 0.4478, decode.d2.loss_dice: 0.6921, decode.d3.loss_cls: 0.2158, decode.d3.loss_mask: 0.4411, decode.d3.loss_dice: 0.6780, decode.d4.loss_cls: 0.2038, decode.d4.loss_mask: 0.4412, decode.d4.loss_dice: 0.6807, decode.d5.loss_cls: 0.2009, decode.d5.loss_mask: 0.4415, decode.d5.loss_dice: 0.6786, decode.d6.loss_cls: 0.2023, decode.d6.loss_mask: 0.4387, decode.d6.loss_dice: 0.6724, decode.d7.loss_cls: 0.1979, decode.d7.loss_mask: 0.4389, decode.d7.loss_dice: 0.6725, decode.d8.loss_cls: 0.1955, decode.d8.loss_mask: 0.4395, decode.d8.loss_dice: 0.6764, loss: 14.3823, grad_norm: 44.7374 2023-11-12 12:16:38,471 - mmseg - INFO - Iter [96900/160000] lr: 3.944e-05, eta: 8:48:19, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1957, decode.loss_mask: 0.4588, decode.loss_dice: 0.6910, decode.d0.loss_cls: 1.1563, decode.d0.loss_mask: 0.4922, decode.d0.loss_dice: 0.7565, decode.d1.loss_cls: 0.2565, decode.d1.loss_mask: 0.4676, decode.d1.loss_dice: 0.7292, decode.d2.loss_cls: 0.2216, decode.d2.loss_mask: 0.4641, decode.d2.loss_dice: 0.7075, decode.d3.loss_cls: 0.2128, decode.d3.loss_mask: 0.4590, decode.d3.loss_dice: 0.6947, decode.d4.loss_cls: 0.2043, decode.d4.loss_mask: 0.4599, decode.d4.loss_dice: 0.6946, decode.d5.loss_cls: 0.2021, decode.d5.loss_mask: 0.4600, decode.d5.loss_dice: 0.6970, decode.d6.loss_cls: 0.2003, decode.d6.loss_mask: 0.4590, decode.d6.loss_dice: 0.6904, decode.d7.loss_cls: 0.1975, decode.d7.loss_mask: 0.4595, decode.d7.loss_dice: 0.6929, decode.d8.loss_cls: 0.1945, decode.d8.loss_mask: 0.4586, decode.d8.loss_dice: 0.6942, loss: 14.7282, grad_norm: 48.2543 2023-11-12 12:17:07,773 - mmseg - INFO - Iter [96950/160000] lr: 3.941e-05, eta: 8:47:56, time: 0.586, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2024, decode.loss_mask: 0.4480, decode.loss_dice: 0.6855, decode.d0.loss_cls: 1.1840, decode.d0.loss_mask: 0.4816, decode.d0.loss_dice: 0.7513, decode.d1.loss_cls: 0.2708, decode.d1.loss_mask: 0.4588, decode.d1.loss_dice: 0.7190, decode.d2.loss_cls: 0.2415, decode.d2.loss_mask: 0.4532, decode.d2.loss_dice: 0.7044, decode.d3.loss_cls: 0.2225, decode.d3.loss_mask: 0.4506, decode.d3.loss_dice: 0.6911, decode.d4.loss_cls: 0.2122, decode.d4.loss_mask: 0.4498, decode.d4.loss_dice: 0.6886, decode.d5.loss_cls: 0.2129, decode.d5.loss_mask: 0.4476, decode.d5.loss_dice: 0.6873, decode.d6.loss_cls: 0.2106, decode.d6.loss_mask: 0.4463, decode.d6.loss_dice: 0.6840, decode.d7.loss_cls: 0.2077, decode.d7.loss_mask: 0.4462, decode.d7.loss_dice: 0.6844, decode.d8.loss_cls: 0.2060, decode.d8.loss_mask: 0.4474, decode.d8.loss_dice: 0.6844, loss: 14.6801, grad_norm: 46.9327 2023-11-12 12:17:34,893 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 12:17:34,893 - mmseg - INFO - Iter [97000/160000] lr: 3.938e-05, eta: 8:47:32, time: 0.542, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2028, decode.loss_mask: 0.4789, decode.loss_dice: 0.7025, decode.d0.loss_cls: 1.1577, decode.d0.loss_mask: 0.5149, decode.d0.loss_dice: 0.7656, decode.d1.loss_cls: 0.2710, decode.d1.loss_mask: 0.4950, decode.d1.loss_dice: 0.7388, decode.d2.loss_cls: 0.2314, decode.d2.loss_mask: 0.4863, decode.d2.loss_dice: 0.7231, decode.d3.loss_cls: 0.2222, decode.d3.loss_mask: 0.4799, decode.d3.loss_dice: 0.7044, decode.d4.loss_cls: 0.2116, decode.d4.loss_mask: 0.4795, decode.d4.loss_dice: 0.7057, decode.d5.loss_cls: 0.2080, decode.d5.loss_mask: 0.4796, decode.d5.loss_dice: 0.7085, decode.d6.loss_cls: 0.2102, decode.d6.loss_mask: 0.4794, decode.d6.loss_dice: 0.6986, decode.d7.loss_cls: 0.2075, decode.d7.loss_mask: 0.4782, decode.d7.loss_dice: 0.7027, decode.d8.loss_cls: 0.2046, decode.d8.loss_mask: 0.4807, decode.d8.loss_dice: 0.6999, loss: 15.1292, grad_norm: 53.8230 2023-11-12 12:17:59,313 - mmseg - INFO - Iter [97050/160000] lr: 3.934e-05, eta: 8:47:07, time: 0.488, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2015, decode.loss_mask: 0.4480, decode.loss_dice: 0.6839, decode.d0.loss_cls: 1.2046, decode.d0.loss_mask: 0.4771, decode.d0.loss_dice: 0.7419, decode.d1.loss_cls: 0.2804, decode.d1.loss_mask: 0.4598, decode.d1.loss_dice: 0.7182, decode.d2.loss_cls: 0.2409, decode.d2.loss_mask: 0.4552, decode.d2.loss_dice: 0.6976, decode.d3.loss_cls: 0.2254, decode.d3.loss_mask: 0.4497, decode.d3.loss_dice: 0.6892, decode.d4.loss_cls: 0.2198, decode.d4.loss_mask: 0.4500, decode.d4.loss_dice: 0.6842, decode.d5.loss_cls: 0.2132, decode.d5.loss_mask: 0.4489, decode.d5.loss_dice: 0.6858, decode.d6.loss_cls: 0.2101, decode.d6.loss_mask: 0.4495, decode.d6.loss_dice: 0.6802, decode.d7.loss_cls: 0.2056, decode.d7.loss_mask: 0.4493, decode.d7.loss_dice: 0.6845, decode.d8.loss_cls: 0.2034, decode.d8.loss_mask: 0.4474, decode.d8.loss_dice: 0.6819, loss: 14.6871, grad_norm: 47.9479 2023-11-12 12:18:23,556 - mmseg - INFO - Iter [97100/160000] lr: 3.931e-05, eta: 8:46:41, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2133, decode.loss_mask: 0.4527, decode.loss_dice: 0.6888, decode.d0.loss_cls: 1.1836, decode.d0.loss_mask: 0.4857, decode.d0.loss_dice: 0.7614, decode.d1.loss_cls: 0.2725, decode.d1.loss_mask: 0.4686, decode.d1.loss_dice: 0.7220, decode.d2.loss_cls: 0.2458, decode.d2.loss_mask: 0.4599, decode.d2.loss_dice: 0.7049, decode.d3.loss_cls: 0.2283, decode.d3.loss_mask: 0.4551, decode.d3.loss_dice: 0.6939, decode.d4.loss_cls: 0.2198, decode.d4.loss_mask: 0.4553, decode.d4.loss_dice: 0.6914, decode.d5.loss_cls: 0.2122, decode.d5.loss_mask: 0.4568, decode.d5.loss_dice: 0.6946, decode.d6.loss_cls: 0.2193, decode.d6.loss_mask: 0.4527, decode.d6.loss_dice: 0.6861, decode.d7.loss_cls: 0.2155, decode.d7.loss_mask: 0.4534, decode.d7.loss_dice: 0.6888, decode.d8.loss_cls: 0.2123, decode.d8.loss_mask: 0.4523, decode.d8.loss_dice: 0.6911, loss: 14.8380, grad_norm: 44.2830 2023-11-12 12:18:48,030 - mmseg - INFO - Iter [97150/160000] lr: 3.928e-05, eta: 8:46:16, time: 0.489, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2044, decode.loss_mask: 0.4483, decode.loss_dice: 0.6894, decode.d0.loss_cls: 1.2134, decode.d0.loss_mask: 0.4806, decode.d0.loss_dice: 0.7505, decode.d1.loss_cls: 0.2804, decode.d1.loss_mask: 0.4626, decode.d1.loss_dice: 0.7238, decode.d2.loss_cls: 0.2417, decode.d2.loss_mask: 0.4525, decode.d2.loss_dice: 0.7048, decode.d3.loss_cls: 0.2226, decode.d3.loss_mask: 0.4486, decode.d3.loss_dice: 0.6934, decode.d4.loss_cls: 0.2175, decode.d4.loss_mask: 0.4484, decode.d4.loss_dice: 0.6914, decode.d5.loss_cls: 0.2056, decode.d5.loss_mask: 0.4480, decode.d5.loss_dice: 0.6930, decode.d6.loss_cls: 0.2103, decode.d6.loss_mask: 0.4487, decode.d6.loss_dice: 0.6882, decode.d7.loss_cls: 0.2051, decode.d7.loss_mask: 0.4478, decode.d7.loss_dice: 0.6936, decode.d8.loss_cls: 0.2029, decode.d8.loss_mask: 0.4489, decode.d8.loss_dice: 0.6876, loss: 14.7538, grad_norm: 51.2926 2023-11-12 12:19:12,628 - mmseg - INFO - Iter [97200/160000] lr: 3.925e-05, eta: 8:45:50, time: 0.492, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1864, decode.loss_mask: 0.4421, decode.loss_dice: 0.6794, decode.d0.loss_cls: 1.1753, decode.d0.loss_mask: 0.4739, decode.d0.loss_dice: 0.7392, decode.d1.loss_cls: 0.2585, decode.d1.loss_mask: 0.4575, decode.d1.loss_dice: 0.7111, decode.d2.loss_cls: 0.2223, decode.d2.loss_mask: 0.4483, decode.d2.loss_dice: 0.6921, decode.d3.loss_cls: 0.2091, decode.d3.loss_mask: 0.4445, decode.d3.loss_dice: 0.6829, decode.d4.loss_cls: 0.1944, decode.d4.loss_mask: 0.4442, decode.d4.loss_dice: 0.6799, decode.d5.loss_cls: 0.1925, decode.d5.loss_mask: 0.4429, decode.d5.loss_dice: 0.6799, decode.d6.loss_cls: 0.1915, decode.d6.loss_mask: 0.4422, decode.d6.loss_dice: 0.6752, decode.d7.loss_cls: 0.1869, decode.d7.loss_mask: 0.4410, decode.d7.loss_dice: 0.6818, decode.d8.loss_cls: 0.1831, decode.d8.loss_mask: 0.4417, decode.d8.loss_dice: 0.6771, loss: 14.3769, grad_norm: 44.0011 2023-11-12 12:19:36,423 - mmseg - INFO - Iter [97250/160000] lr: 3.922e-05, eta: 8:45:24, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1930, decode.loss_mask: 0.4471, decode.loss_dice: 0.6720, decode.d0.loss_cls: 1.1537, decode.d0.loss_mask: 0.4827, decode.d0.loss_dice: 0.7353, decode.d1.loss_cls: 0.2544, decode.d1.loss_mask: 0.4579, decode.d1.loss_dice: 0.7105, decode.d2.loss_cls: 0.2223, decode.d2.loss_mask: 0.4514, decode.d2.loss_dice: 0.6910, decode.d3.loss_cls: 0.2089, decode.d3.loss_mask: 0.4475, decode.d3.loss_dice: 0.6769, decode.d4.loss_cls: 0.2021, decode.d4.loss_mask: 0.4469, decode.d4.loss_dice: 0.6753, decode.d5.loss_cls: 0.1999, decode.d5.loss_mask: 0.4461, decode.d5.loss_dice: 0.6755, decode.d6.loss_cls: 0.1949, decode.d6.loss_mask: 0.4469, decode.d6.loss_dice: 0.6721, decode.d7.loss_cls: 0.1916, decode.d7.loss_mask: 0.4462, decode.d7.loss_dice: 0.6765, decode.d8.loss_cls: 0.1963, decode.d8.loss_mask: 0.4462, decode.d8.loss_dice: 0.6733, loss: 14.3945, grad_norm: 45.6365 2023-11-12 12:20:02,800 - mmseg - INFO - Iter [97300/160000] lr: 3.919e-05, eta: 8:45:00, time: 0.528, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1718, decode.loss_mask: 0.4597, decode.loss_dice: 0.6879, decode.d0.loss_cls: 1.1728, decode.d0.loss_mask: 0.4912, decode.d0.loss_dice: 0.7439, decode.d1.loss_cls: 0.2318, decode.d1.loss_mask: 0.4753, decode.d1.loss_dice: 0.7237, decode.d2.loss_cls: 0.2087, decode.d2.loss_mask: 0.4677, decode.d2.loss_dice: 0.7072, decode.d3.loss_cls: 0.1886, decode.d3.loss_mask: 0.4605, decode.d3.loss_dice: 0.6909, decode.d4.loss_cls: 0.1802, decode.d4.loss_mask: 0.4607, decode.d4.loss_dice: 0.6916, decode.d5.loss_cls: 0.1788, decode.d5.loss_mask: 0.4594, decode.d5.loss_dice: 0.6929, decode.d6.loss_cls: 0.1764, decode.d6.loss_mask: 0.4605, decode.d6.loss_dice: 0.6870, decode.d7.loss_cls: 0.1773, decode.d7.loss_mask: 0.4586, decode.d7.loss_dice: 0.6851, decode.d8.loss_cls: 0.1828, decode.d8.loss_mask: 0.4591, decode.d8.loss_dice: 0.6917, loss: 14.5240, grad_norm: 43.0054 2023-11-12 12:20:28,698 - mmseg - INFO - Iter [97350/160000] lr: 3.916e-05, eta: 8:44:35, time: 0.518, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1955, decode.loss_mask: 0.4251, decode.loss_dice: 0.6718, decode.d0.loss_cls: 1.1984, decode.d0.loss_mask: 0.4603, decode.d0.loss_dice: 0.7349, decode.d1.loss_cls: 0.2589, decode.d1.loss_mask: 0.4416, decode.d1.loss_dice: 0.7123, decode.d2.loss_cls: 0.2274, decode.d2.loss_mask: 0.4344, decode.d2.loss_dice: 0.6876, decode.d3.loss_cls: 0.2130, decode.d3.loss_mask: 0.4269, decode.d3.loss_dice: 0.6757, decode.d4.loss_cls: 0.2065, decode.d4.loss_mask: 0.4262, decode.d4.loss_dice: 0.6782, decode.d5.loss_cls: 0.2031, decode.d5.loss_mask: 0.4246, decode.d5.loss_dice: 0.6742, decode.d6.loss_cls: 0.1981, decode.d6.loss_mask: 0.4245, decode.d6.loss_dice: 0.6726, decode.d7.loss_cls: 0.1956, decode.d7.loss_mask: 0.4238, decode.d7.loss_dice: 0.6688, decode.d8.loss_cls: 0.1953, decode.d8.loss_mask: 0.4240, decode.d8.loss_dice: 0.6767, loss: 14.2559, grad_norm: 43.4517 2023-11-12 12:20:53,143 - mmseg - INFO - Iter [97400/160000] lr: 3.913e-05, eta: 8:44:10, time: 0.489, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2095, decode.loss_mask: 0.4535, decode.loss_dice: 0.6920, decode.d0.loss_cls: 1.1929, decode.d0.loss_mask: 0.4917, decode.d0.loss_dice: 0.7495, decode.d1.loss_cls: 0.2779, decode.d1.loss_mask: 0.4690, decode.d1.loss_dice: 0.7277, decode.d2.loss_cls: 0.2398, decode.d2.loss_mask: 0.4625, decode.d2.loss_dice: 0.7142, decode.d3.loss_cls: 0.2259, decode.d3.loss_mask: 0.4562, decode.d3.loss_dice: 0.6992, decode.d4.loss_cls: 0.2192, decode.d4.loss_mask: 0.4564, decode.d4.loss_dice: 0.6974, decode.d5.loss_cls: 0.2182, decode.d5.loss_mask: 0.4545, decode.d5.loss_dice: 0.6970, decode.d6.loss_cls: 0.2193, decode.d6.loss_mask: 0.4540, decode.d6.loss_dice: 0.6915, decode.d7.loss_cls: 0.2129, decode.d7.loss_mask: 0.4519, decode.d7.loss_dice: 0.6882, decode.d8.loss_cls: 0.2122, decode.d8.loss_mask: 0.4546, decode.d8.loss_dice: 0.6890, loss: 14.8780, grad_norm: 47.2630 2023-11-12 12:21:19,913 - mmseg - INFO - Iter [97450/160000] lr: 3.909e-05, eta: 8:43:46, time: 0.535, data_time: 0.014, memory: 41146, decode.loss_cls: 0.2047, decode.loss_mask: 0.4496, decode.loss_dice: 0.6996, decode.d0.loss_cls: 1.1822, decode.d0.loss_mask: 0.4872, decode.d0.loss_dice: 0.7622, decode.d1.loss_cls: 0.2831, decode.d1.loss_mask: 0.4661, decode.d1.loss_dice: 0.7280, decode.d2.loss_cls: 0.2425, decode.d2.loss_mask: 0.4601, decode.d2.loss_dice: 0.7146, decode.d3.loss_cls: 0.2211, decode.d3.loss_mask: 0.4537, decode.d3.loss_dice: 0.7011, decode.d4.loss_cls: 0.2136, decode.d4.loss_mask: 0.4538, decode.d4.loss_dice: 0.7007, decode.d5.loss_cls: 0.2076, decode.d5.loss_mask: 0.4520, decode.d5.loss_dice: 0.6982, decode.d6.loss_cls: 0.2055, decode.d6.loss_mask: 0.4523, decode.d6.loss_dice: 0.6936, decode.d7.loss_cls: 0.2090, decode.d7.loss_mask: 0.4510, decode.d7.loss_dice: 0.6967, decode.d8.loss_cls: 0.2063, decode.d8.loss_mask: 0.4505, decode.d8.loss_dice: 0.6929, loss: 14.8397, grad_norm: 47.0205 2023-11-12 12:21:46,534 - mmseg - INFO - Iter [97500/160000] lr: 3.906e-05, eta: 8:43:21, time: 0.532, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1863, decode.loss_mask: 0.4453, decode.loss_dice: 0.6737, decode.d0.loss_cls: 1.1420, decode.d0.loss_mask: 0.4766, decode.d0.loss_dice: 0.7303, decode.d1.loss_cls: 0.2436, decode.d1.loss_mask: 0.4588, decode.d1.loss_dice: 0.7046, decode.d2.loss_cls: 0.2152, decode.d2.loss_mask: 0.4497, decode.d2.loss_dice: 0.6895, decode.d3.loss_cls: 0.2002, decode.d3.loss_mask: 0.4473, decode.d3.loss_dice: 0.6782, decode.d4.loss_cls: 0.1952, decode.d4.loss_mask: 0.4471, decode.d4.loss_dice: 0.6731, decode.d5.loss_cls: 0.1885, decode.d5.loss_mask: 0.4459, decode.d5.loss_dice: 0.6767, decode.d6.loss_cls: 0.1962, decode.d6.loss_mask: 0.4446, decode.d6.loss_dice: 0.6707, decode.d7.loss_cls: 0.1909, decode.d7.loss_mask: 0.4456, decode.d7.loss_dice: 0.6695, decode.d8.loss_cls: 0.1876, decode.d8.loss_mask: 0.4448, decode.d8.loss_dice: 0.6737, loss: 14.2913, grad_norm: 45.0832 2023-11-12 12:22:12,831 - mmseg - INFO - Iter [97550/160000] lr: 3.903e-05, eta: 8:42:57, time: 0.526, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1968, decode.loss_mask: 0.4405, decode.loss_dice: 0.6597, decode.d0.loss_cls: 1.1468, decode.d0.loss_mask: 0.4779, decode.d0.loss_dice: 0.7212, decode.d1.loss_cls: 0.2560, decode.d1.loss_mask: 0.4577, decode.d1.loss_dice: 0.6940, decode.d2.loss_cls: 0.2159, decode.d2.loss_mask: 0.4482, decode.d2.loss_dice: 0.6810, decode.d3.loss_cls: 0.2080, decode.d3.loss_mask: 0.4423, decode.d3.loss_dice: 0.6646, decode.d4.loss_cls: 0.2014, decode.d4.loss_mask: 0.4419, decode.d4.loss_dice: 0.6637, decode.d5.loss_cls: 0.2022, decode.d5.loss_mask: 0.4413, decode.d5.loss_dice: 0.6639, decode.d6.loss_cls: 0.2055, decode.d6.loss_mask: 0.4387, decode.d6.loss_dice: 0.6579, decode.d7.loss_cls: 0.1996, decode.d7.loss_mask: 0.4399, decode.d7.loss_dice: 0.6645, decode.d8.loss_cls: 0.1979, decode.d8.loss_mask: 0.4402, decode.d8.loss_dice: 0.6635, loss: 14.2325, grad_norm: 47.4377 2023-11-12 12:22:37,579 - mmseg - INFO - Iter [97600/160000] lr: 3.900e-05, eta: 8:42:32, time: 0.495, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2040, decode.loss_mask: 0.4451, decode.loss_dice: 0.6937, decode.d0.loss_cls: 1.1689, decode.d0.loss_mask: 0.4824, decode.d0.loss_dice: 0.7613, decode.d1.loss_cls: 0.2619, decode.d1.loss_mask: 0.4577, decode.d1.loss_dice: 0.7315, decode.d2.loss_cls: 0.2304, decode.d2.loss_mask: 0.4508, decode.d2.loss_dice: 0.7132, decode.d3.loss_cls: 0.2179, decode.d3.loss_mask: 0.4482, decode.d3.loss_dice: 0.7003, decode.d4.loss_cls: 0.2140, decode.d4.loss_mask: 0.4461, decode.d4.loss_dice: 0.6970, decode.d5.loss_cls: 0.2104, decode.d5.loss_mask: 0.4455, decode.d5.loss_dice: 0.6953, decode.d6.loss_cls: 0.2085, decode.d6.loss_mask: 0.4451, decode.d6.loss_dice: 0.6927, decode.d7.loss_cls: 0.2018, decode.d7.loss_mask: 0.4452, decode.d7.loss_dice: 0.6925, decode.d8.loss_cls: 0.2015, decode.d8.loss_mask: 0.4449, decode.d8.loss_dice: 0.6937, loss: 14.7016, grad_norm: 44.8519 2023-11-12 12:23:01,684 - mmseg - INFO - Iter [97650/160000] lr: 3.897e-05, eta: 8:42:06, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2036, decode.loss_mask: 0.4652, decode.loss_dice: 0.6970, decode.d0.loss_cls: 1.1815, decode.d0.loss_mask: 0.5019, decode.d0.loss_dice: 0.7585, decode.d1.loss_cls: 0.2661, decode.d1.loss_mask: 0.4821, decode.d1.loss_dice: 0.7246, decode.d2.loss_cls: 0.2354, decode.d2.loss_mask: 0.4747, decode.d2.loss_dice: 0.7095, decode.d3.loss_cls: 0.2245, decode.d3.loss_mask: 0.4701, decode.d3.loss_dice: 0.7000, decode.d4.loss_cls: 0.2112, decode.d4.loss_mask: 0.4678, decode.d4.loss_dice: 0.7017, decode.d5.loss_cls: 0.2094, decode.d5.loss_mask: 0.4672, decode.d5.loss_dice: 0.6982, decode.d6.loss_cls: 0.2103, decode.d6.loss_mask: 0.4672, decode.d6.loss_dice: 0.6951, decode.d7.loss_cls: 0.2028, decode.d7.loss_mask: 0.4676, decode.d7.loss_dice: 0.7000, decode.d8.loss_cls: 0.2051, decode.d8.loss_mask: 0.4666, decode.d8.loss_dice: 0.6985, loss: 14.9635, grad_norm: 48.1209 2023-11-12 12:23:25,710 - mmseg - INFO - Iter [97700/160000] lr: 3.894e-05, eta: 8:41:40, time: 0.483, data_time: 0.015, memory: 41146, decode.loss_cls: 0.1896, decode.loss_mask: 0.4548, decode.loss_dice: 0.6654, decode.d0.loss_cls: 1.1415, decode.d0.loss_mask: 0.4864, decode.d0.loss_dice: 0.7289, decode.d1.loss_cls: 0.2525, decode.d1.loss_mask: 0.4689, decode.d1.loss_dice: 0.7038, decode.d2.loss_cls: 0.2130, decode.d2.loss_mask: 0.4611, decode.d2.loss_dice: 0.6871, decode.d3.loss_cls: 0.2062, decode.d3.loss_mask: 0.4570, decode.d3.loss_dice: 0.6724, decode.d4.loss_cls: 0.1946, decode.d4.loss_mask: 0.4553, decode.d4.loss_dice: 0.6733, decode.d5.loss_cls: 0.1951, decode.d5.loss_mask: 0.4532, decode.d5.loss_dice: 0.6708, decode.d6.loss_cls: 0.1930, decode.d6.loss_mask: 0.4542, decode.d6.loss_dice: 0.6700, decode.d7.loss_cls: 0.1922, decode.d7.loss_mask: 0.4536, decode.d7.loss_dice: 0.6684, decode.d8.loss_cls: 0.1918, decode.d8.loss_mask: 0.4536, decode.d8.loss_dice: 0.6686, loss: 14.3763, grad_norm: 47.5868 2023-11-12 12:23:49,794 - mmseg - INFO - Iter [97750/160000] lr: 3.891e-05, eta: 8:41:14, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2062, decode.loss_mask: 0.4322, decode.loss_dice: 0.6539, decode.d0.loss_cls: 1.1751, decode.d0.loss_mask: 0.4699, decode.d0.loss_dice: 0.7164, decode.d1.loss_cls: 0.2664, decode.d1.loss_mask: 0.4532, decode.d1.loss_dice: 0.6930, decode.d2.loss_cls: 0.2365, decode.d2.loss_mask: 0.4425, decode.d2.loss_dice: 0.6740, decode.d3.loss_cls: 0.2191, decode.d3.loss_mask: 0.4362, decode.d3.loss_dice: 0.6580, decode.d4.loss_cls: 0.2137, decode.d4.loss_mask: 0.4345, decode.d4.loss_dice: 0.6547, decode.d5.loss_cls: 0.2061, decode.d5.loss_mask: 0.4336, decode.d5.loss_dice: 0.6556, decode.d6.loss_cls: 0.2056, decode.d6.loss_mask: 0.4332, decode.d6.loss_dice: 0.6519, decode.d7.loss_cls: 0.2004, decode.d7.loss_mask: 0.4332, decode.d7.loss_dice: 0.6522, decode.d8.loss_cls: 0.2026, decode.d8.loss_mask: 0.4329, decode.d8.loss_dice: 0.6551, loss: 14.1977, grad_norm: 49.0727 2023-11-12 12:24:13,648 - mmseg - INFO - Iter [97800/160000] lr: 3.888e-05, eta: 8:40:48, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2012, decode.loss_mask: 0.4573, decode.loss_dice: 0.7004, decode.d0.loss_cls: 1.1819, decode.d0.loss_mask: 0.4848, decode.d0.loss_dice: 0.7618, decode.d1.loss_cls: 0.2737, decode.d1.loss_mask: 0.4641, decode.d1.loss_dice: 0.7331, decode.d2.loss_cls: 0.2349, decode.d2.loss_mask: 0.4579, decode.d2.loss_dice: 0.7111, decode.d3.loss_cls: 0.2222, decode.d3.loss_mask: 0.4566, decode.d3.loss_dice: 0.7041, decode.d4.loss_cls: 0.2143, decode.d4.loss_mask: 0.4543, decode.d4.loss_dice: 0.6995, decode.d5.loss_cls: 0.2073, decode.d5.loss_mask: 0.4548, decode.d5.loss_dice: 0.7004, decode.d6.loss_cls: 0.2056, decode.d6.loss_mask: 0.4542, decode.d6.loss_dice: 0.6942, decode.d7.loss_cls: 0.2060, decode.d7.loss_mask: 0.4555, decode.d7.loss_dice: 0.6951, decode.d8.loss_cls: 0.2006, decode.d8.loss_mask: 0.4548, decode.d8.loss_dice: 0.6966, loss: 14.8380, grad_norm: 46.6285 2023-11-12 12:24:37,489 - mmseg - INFO - Iter [97850/160000] lr: 3.884e-05, eta: 8:40:23, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1928, decode.loss_mask: 0.4512, decode.loss_dice: 0.6842, decode.d0.loss_cls: 1.1669, decode.d0.loss_mask: 0.4860, decode.d0.loss_dice: 0.7371, decode.d1.loss_cls: 0.2572, decode.d1.loss_mask: 0.4641, decode.d1.loss_dice: 0.7058, decode.d2.loss_cls: 0.2256, decode.d2.loss_mask: 0.4569, decode.d2.loss_dice: 0.6923, decode.d3.loss_cls: 0.2090, decode.d3.loss_mask: 0.4507, decode.d3.loss_dice: 0.6856, decode.d4.loss_cls: 0.2016, decode.d4.loss_mask: 0.4502, decode.d4.loss_dice: 0.6812, decode.d5.loss_cls: 0.2019, decode.d5.loss_mask: 0.4508, decode.d5.loss_dice: 0.6834, decode.d6.loss_cls: 0.1965, decode.d6.loss_mask: 0.4491, decode.d6.loss_dice: 0.6793, decode.d7.loss_cls: 0.1926, decode.d7.loss_mask: 0.4513, decode.d7.loss_dice: 0.6771, decode.d8.loss_cls: 0.1896, decode.d8.loss_mask: 0.4509, decode.d8.loss_dice: 0.6833, loss: 14.5039, grad_norm: 47.6444 2023-11-12 12:25:01,335 - mmseg - INFO - Iter [97900/160000] lr: 3.881e-05, eta: 8:39:57, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2194, decode.loss_mask: 0.4541, decode.loss_dice: 0.6974, decode.d0.loss_cls: 1.1897, decode.d0.loss_mask: 0.4847, decode.d0.loss_dice: 0.7540, decode.d1.loss_cls: 0.2976, decode.d1.loss_mask: 0.4672, decode.d1.loss_dice: 0.7312, decode.d2.loss_cls: 0.2530, decode.d2.loss_mask: 0.4591, decode.d2.loss_dice: 0.7123, decode.d3.loss_cls: 0.2392, decode.d3.loss_mask: 0.4548, decode.d3.loss_dice: 0.6970, decode.d4.loss_cls: 0.2290, decode.d4.loss_mask: 0.4563, decode.d4.loss_dice: 0.6958, decode.d5.loss_cls: 0.2242, decode.d5.loss_mask: 0.4553, decode.d5.loss_dice: 0.7027, decode.d6.loss_cls: 0.2211, decode.d6.loss_mask: 0.4534, decode.d6.loss_dice: 0.6972, decode.d7.loss_cls: 0.2187, decode.d7.loss_mask: 0.4537, decode.d7.loss_dice: 0.6961, decode.d8.loss_cls: 0.2119, decode.d8.loss_mask: 0.4548, decode.d8.loss_dice: 0.7016, loss: 14.9825, grad_norm: 48.4787 2023-11-12 12:25:25,294 - mmseg - INFO - Iter [97950/160000] lr: 3.878e-05, eta: 8:39:31, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1902, decode.loss_mask: 0.4503, decode.loss_dice: 0.7041, decode.d0.loss_cls: 1.1741, decode.d0.loss_mask: 0.4851, decode.d0.loss_dice: 0.7659, decode.d1.loss_cls: 0.2567, decode.d1.loss_mask: 0.4643, decode.d1.loss_dice: 0.7353, decode.d2.loss_cls: 0.2213, decode.d2.loss_mask: 0.4548, decode.d2.loss_dice: 0.7179, decode.d3.loss_cls: 0.2087, decode.d3.loss_mask: 0.4520, decode.d3.loss_dice: 0.7024, decode.d4.loss_cls: 0.1987, decode.d4.loss_mask: 0.4514, decode.d4.loss_dice: 0.7037, decode.d5.loss_cls: 0.1929, decode.d5.loss_mask: 0.4491, decode.d5.loss_dice: 0.7042, decode.d6.loss_cls: 0.1941, decode.d6.loss_mask: 0.4496, decode.d6.loss_dice: 0.6975, decode.d7.loss_cls: 0.1885, decode.d7.loss_mask: 0.4496, decode.d7.loss_dice: 0.7047, decode.d8.loss_cls: 0.1867, decode.d8.loss_mask: 0.4493, decode.d8.loss_dice: 0.7032, loss: 14.7063, grad_norm: 47.8072 2023-11-12 12:25:49,421 - mmseg - INFO - Saving checkpoint at 98000 iterations 2023-11-12 12:25:53,408 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 12:25:53,408 - mmseg - INFO - Iter [98000/160000] lr: 3.875e-05, eta: 8:39:08, time: 0.562, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1847, decode.loss_mask: 0.4592, decode.loss_dice: 0.6932, decode.d0.loss_cls: 1.1527, decode.d0.loss_mask: 0.4911, decode.d0.loss_dice: 0.7576, decode.d1.loss_cls: 0.2475, decode.d1.loss_mask: 0.4707, decode.d1.loss_dice: 0.7285, decode.d2.loss_cls: 0.2158, decode.d2.loss_mask: 0.4656, decode.d2.loss_dice: 0.7151, decode.d3.loss_cls: 0.2029, decode.d3.loss_mask: 0.4631, decode.d3.loss_dice: 0.6999, decode.d4.loss_cls: 0.1931, decode.d4.loss_mask: 0.4633, decode.d4.loss_dice: 0.7023, decode.d5.loss_cls: 0.1878, decode.d5.loss_mask: 0.4629, decode.d5.loss_dice: 0.6998, decode.d6.loss_cls: 0.1915, decode.d6.loss_mask: 0.4595, decode.d6.loss_dice: 0.6929, decode.d7.loss_cls: 0.1848, decode.d7.loss_mask: 0.4613, decode.d7.loss_dice: 0.6975, decode.d8.loss_cls: 0.1838, decode.d8.loss_mask: 0.4602, decode.d8.loss_dice: 0.7000, loss: 14.6881, grad_norm: 44.2392 2023-11-12 12:26:12,421 - mmseg - INFO - per class results: 2023-11-12 12:26:12,427 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.75 | 87.75 | | building | 83.27 | 91.73 | | sky | 94.63 | 97.01 | | floor | 82.96 | 90.6 | | tree | 74.84 | 89.62 | | ceiling | 84.22 | 90.48 | | road | 85.81 | 90.74 | | bed | 90.23 | 95.78 | | windowpane | 64.82 | 80.29 | | grass | 66.17 | 74.6 | | cabinet | 63.29 | 77.07 | | sidewalk | 67.1 | 82.5 | | person | 84.94 | 92.69 | | earth | 38.82 | 58.91 | | door | 51.34 | 69.89 | | table | 65.17 | 79.81 | | mountain | 64.46 | 73.91 | | plant | 52.22 | 66.21 | | curtain | 77.0 | 87.47 | | chair | 63.1 | 73.61 | | car | 85.72 | 91.76 | | water | 56.5 | 72.81 | | painting | 74.73 | 91.38 | | sofa | 68.52 | 78.65 | | shelf | 45.55 | 63.44 | | house | 41.82 | 66.65 | | sea | 67.94 | 90.06 | | mirror | 70.5 | 81.63 | | rug | 65.78 | 78.58 | | field | 31.69 | 50.43 | | armchair | 48.13 | 71.67 | | seat | 66.41 | 83.14 | | fence | 50.44 | 69.6 | | desk | 51.81 | 73.78 | | rock | 45.18 | 79.96 | | wardrobe | 47.59 | 66.23 | | lamp | 70.3 | 84.89 | | bathtub | 77.72 | 91.08 | | railing | 36.76 | 48.45 | | cushion | 61.5 | 81.66 | | base | 36.04 | 50.8 | | box | 31.1 | 45.06 | | column | 43.45 | 50.6 | | signboard | 37.3 | 55.01 | | chest of drawers | 43.19 | 63.81 | | counter | 23.18 | 28.13 | | sand | 34.05 | 46.18 | | sink | 75.91 | 81.55 | | skyscraper | 38.02 | 42.98 | | fireplace | 77.11 | 90.85 | | refrigerator | 78.93 | 83.72 | | grandstand | 43.03 | 68.73 | | path | 32.04 | 44.49 | | stairs | 30.26 | 40.47 | | runway | 87.23 | 91.69 | | case | 59.88 | 67.84 | | pool table | 94.07 | 97.52 | | pillow | 56.78 | 66.8 | | screen door | 63.37 | 76.36 | | stairway | 31.91 | 40.53 | | river | 16.75 | 26.35 | | bridge | 75.32 | 86.41 | | bookcase | 41.26 | 68.23 | | blind | 46.34 | 51.16 | | coffee table | 66.02 | 82.36 | | toilet | 86.04 | 91.65 | | flower | 44.41 | 56.36 | | book | 51.65 | 74.91 | | hill | 6.3 | 14.36 | | bench | 60.15 | 77.74 | | countertop | 53.59 | 68.4 | | stove | 83.06 | 91.69 | | palm | 54.36 | 71.99 | | kitchen island | 42.77 | 89.34 | | computer | 71.95 | 78.06 | | swivel chair | 42.25 | 63.35 | | boat | 47.71 | 55.56 | | bar | 37.54 | 49.28 | | arcade machine | 88.0 | 95.56 | | hovel | 39.4 | 67.65 | | bus | 94.27 | 96.51 | | towel | 68.54 | 81.85 | | light | 62.71 | 76.14 | | truck | 31.26 | 57.88 | | tower | 20.04 | 36.74 | | chandelier | 71.36 | 86.11 | | awning | 29.3 | 38.24 | | streetlight | 44.27 | 67.03 | | booth | 40.8 | 57.6 | | television receiver | 71.16 | 81.38 | | airplane | 73.68 | 81.08 | | dirt track | 18.93 | 30.54 | | apparel | 35.24 | 57.78 | | pole | 33.64 | 52.2 | | land | 4.78 | 10.52 | | bannister | 10.55 | 17.95 | | escalator | 23.53 | 30.04 | | ottoman | 54.3 | 73.45 | | bottle | 32.43 | 40.55 | | buffet | 43.07 | 52.35 | | poster | 24.15 | 31.71 | | stage | 16.11 | 32.03 | | van | 45.63 | 62.74 | | ship | 6.61 | 10.54 | | fountain | 17.75 | 21.76 | | conveyer belt | 52.17 | 71.48 | | canopy | 26.76 | 34.93 | | washer | 71.57 | 74.11 | | plaything | 48.53 | 65.71 | | swimming pool | 62.87 | 69.02 | | stool | 54.37 | 71.67 | | barrel | 88.17 | 98.32 | | basket | 42.2 | 50.78 | | waterfall | 65.88 | 87.99 | | tent | 95.67 | 97.91 | | bag | 19.48 | 25.29 | | minibike | 75.17 | 90.17 | | cradle | 85.86 | 97.3 | | oven | 24.76 | 67.51 | | ball | 52.75 | 63.32 | | food | 64.24 | 81.13 | | step | 20.5 | 26.19 | | tank | 55.94 | 65.32 | | trade name | 21.54 | 25.1 | | microwave | 42.13 | 46.12 | | pot | 51.22 | 60.42 | | animal | 62.59 | 63.96 | | bicycle | 57.28 | 78.99 | | lake | 0.93 | 1.01 | | dishwasher | 81.87 | 87.72 | | screen | 61.61 | 87.17 | | blanket | 27.77 | 33.99 | | sculpture | 63.68 | 82.76 | | hood | 74.47 | 91.63 | | sconce | 54.97 | 68.58 | | vase | 55.5 | 69.59 | | traffic light | 45.22 | 63.84 | | tray | 14.79 | 32.32 | | ashcan | 47.84 | 68.82 | | fan | 71.12 | 84.6 | | pier | 36.91 | 46.26 | | crt screen | 5.86 | 15.68 | | plate | 58.61 | 74.19 | | monitor | 12.13 | 16.53 | | bulletin board | 57.39 | 69.35 | | shower | 3.42 | 23.68 | | radiator | 70.62 | 84.28 | | glass | 21.42 | 23.63 | | clock | 59.19 | 70.89 | | flag | 48.41 | 53.97 | +---------------------+-------+-------+ 2023-11-12 12:26:12,427 - mmseg - INFO - Summary: 2023-11-12 12:26:12,427 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.92 | 52.39 | 65.39 | +-------+-------+-------+ 2023-11-12 12:26:12,428 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 12:26:12,428 - mmseg - INFO - Iter(val) [250] aAcc: 0.8392, mIoU: 0.5239, mAcc: 0.6539, IoU.wall: 0.7875, IoU.building: 0.8327, IoU.sky: 0.9463, IoU.floor: 0.8296, IoU.tree: 0.7484, IoU.ceiling: 0.8422, IoU.road: 0.8581, IoU.bed : 0.9023, IoU.windowpane: 0.6482, IoU.grass: 0.6617, IoU.cabinet: 0.6329, IoU.sidewalk: 0.6710, IoU.person: 0.8494, IoU.earth: 0.3882, IoU.door: 0.5134, IoU.table: 0.6517, IoU.mountain: 0.6446, IoU.plant: 0.5222, IoU.curtain: 0.7700, IoU.chair: 0.6310, IoU.car: 0.8572, IoU.water: 0.5650, IoU.painting: 0.7473, IoU.sofa: 0.6852, IoU.shelf: 0.4555, IoU.house: 0.4182, IoU.sea: 0.6794, IoU.mirror: 0.7050, IoU.rug: 0.6578, IoU.field: 0.3169, IoU.armchair: 0.4813, IoU.seat: 0.6641, IoU.fence: 0.5044, IoU.desk: 0.5181, IoU.rock: 0.4518, IoU.wardrobe: 0.4759, IoU.lamp: 0.7030, IoU.bathtub: 0.7772, IoU.railing: 0.3676, IoU.cushion: 0.6150, IoU.base: 0.3604, IoU.box: 0.3110, IoU.column: 0.4345, IoU.signboard: 0.3730, IoU.chest of drawers: 0.4319, IoU.counter: 0.2318, IoU.sand: 0.3405, IoU.sink: 0.7591, IoU.skyscraper: 0.3802, IoU.fireplace: 0.7711, IoU.refrigerator: 0.7893, IoU.grandstand: 0.4303, IoU.path: 0.3204, IoU.stairs: 0.3026, IoU.runway: 0.8723, IoU.case: 0.5988, IoU.pool table: 0.9407, IoU.pillow: 0.5678, IoU.screen door: 0.6337, IoU.stairway: 0.3191, IoU.river: 0.1675, IoU.bridge: 0.7532, IoU.bookcase: 0.4126, IoU.blind: 0.4634, IoU.coffee table: 0.6602, IoU.toilet: 0.8604, IoU.flower: 0.4441, IoU.book: 0.5165, IoU.hill: 0.0630, IoU.bench: 0.6015, IoU.countertop: 0.5359, IoU.stove: 0.8306, IoU.palm: 0.5436, IoU.kitchen island: 0.4277, IoU.computer: 0.7195, IoU.swivel chair: 0.4225, IoU.boat: 0.4771, IoU.bar: 0.3754, IoU.arcade machine: 0.8800, IoU.hovel: 0.3940, IoU.bus: 0.9427, IoU.towel: 0.6854, IoU.light: 0.6271, IoU.truck: 0.3126, IoU.tower: 0.2004, IoU.chandelier: 0.7136, IoU.awning: 0.2930, IoU.streetlight: 0.4427, IoU.booth: 0.4080, IoU.television receiver: 0.7116, IoU.airplane: 0.7368, IoU.dirt track: 0.1893, IoU.apparel: 0.3524, IoU.pole: 0.3364, IoU.land: 0.0478, IoU.bannister: 0.1055, IoU.escalator: 0.2353, IoU.ottoman: 0.5430, IoU.bottle: 0.3243, IoU.buffet: 0.4307, IoU.poster: 0.2415, IoU.stage: 0.1611, IoU.van: 0.4563, IoU.ship: 0.0661, IoU.fountain: 0.1775, IoU.conveyer belt: 0.5217, IoU.canopy: 0.2676, IoU.washer: 0.7157, IoU.plaything: 0.4853, IoU.swimming pool: 0.6287, IoU.stool: 0.5437, IoU.barrel: 0.8817, IoU.basket: 0.4220, IoU.waterfall: 0.6588, IoU.tent: 0.9567, IoU.bag: 0.1948, IoU.minibike: 0.7517, IoU.cradle: 0.8586, IoU.oven: 0.2476, IoU.ball: 0.5275, IoU.food: 0.6424, IoU.step: 0.2050, IoU.tank: 0.5594, IoU.trade name: 0.2154, IoU.microwave: 0.4213, IoU.pot: 0.5122, IoU.animal: 0.6259, IoU.bicycle: 0.5728, IoU.lake: 0.0093, IoU.dishwasher: 0.8187, IoU.screen: 0.6161, IoU.blanket: 0.2777, IoU.sculpture: 0.6368, IoU.hood: 0.7447, IoU.sconce: 0.5497, IoU.vase: 0.5550, IoU.traffic light: 0.4522, IoU.tray: 0.1479, IoU.ashcan: 0.4784, IoU.fan: 0.7112, IoU.pier: 0.3691, IoU.crt screen: 0.0586, IoU.plate: 0.5861, IoU.monitor: 0.1213, IoU.bulletin board: 0.5739, IoU.shower: 0.0342, IoU.radiator: 0.7062, IoU.glass: 0.2142, IoU.clock: 0.5919, IoU.flag: 0.4841, Acc.wall: 0.8775, Acc.building: 0.9173, Acc.sky: 0.9701, Acc.floor: 0.9060, Acc.tree: 0.8962, Acc.ceiling: 0.9048, Acc.road: 0.9074, Acc.bed : 0.9578, Acc.windowpane: 0.8029, Acc.grass: 0.7460, Acc.cabinet: 0.7707, Acc.sidewalk: 0.8250, Acc.person: 0.9269, Acc.earth: 0.5891, Acc.door: 0.6989, Acc.table: 0.7981, Acc.mountain: 0.7391, Acc.plant: 0.6621, Acc.curtain: 0.8747, Acc.chair: 0.7361, Acc.car: 0.9176, Acc.water: 0.7281, Acc.painting: 0.9138, Acc.sofa: 0.7865, Acc.shelf: 0.6344, Acc.house: 0.6665, Acc.sea: 0.9006, Acc.mirror: 0.8163, Acc.rug: 0.7858, Acc.field: 0.5043, Acc.armchair: 0.7167, Acc.seat: 0.8314, Acc.fence: 0.6960, Acc.desk: 0.7378, Acc.rock: 0.7996, Acc.wardrobe: 0.6623, Acc.lamp: 0.8489, Acc.bathtub: 0.9108, Acc.railing: 0.4845, Acc.cushion: 0.8166, Acc.base: 0.5080, Acc.box: 0.4506, Acc.column: 0.5060, Acc.signboard: 0.5501, Acc.chest of drawers: 0.6381, Acc.counter: 0.2813, Acc.sand: 0.4618, Acc.sink: 0.8155, Acc.skyscraper: 0.4298, Acc.fireplace: 0.9085, Acc.refrigerator: 0.8372, Acc.grandstand: 0.6873, Acc.path: 0.4449, Acc.stairs: 0.4047, Acc.runway: 0.9169, Acc.case: 0.6784, Acc.pool table: 0.9752, Acc.pillow: 0.6680, Acc.screen door: 0.7636, Acc.stairway: 0.4053, Acc.river: 0.2635, Acc.bridge: 0.8641, Acc.bookcase: 0.6823, Acc.blind: 0.5116, Acc.coffee table: 0.8236, Acc.toilet: 0.9165, Acc.flower: 0.5636, Acc.book: 0.7491, Acc.hill: 0.1436, Acc.bench: 0.7774, Acc.countertop: 0.6840, Acc.stove: 0.9169, Acc.palm: 0.7199, Acc.kitchen island: 0.8934, Acc.computer: 0.7806, Acc.swivel chair: 0.6335, Acc.boat: 0.5556, Acc.bar: 0.4928, Acc.arcade machine: 0.9556, Acc.hovel: 0.6765, Acc.bus: 0.9651, Acc.towel: 0.8185, Acc.light: 0.7614, Acc.truck: 0.5788, Acc.tower: 0.3674, Acc.chandelier: 0.8611, Acc.awning: 0.3824, Acc.streetlight: 0.6703, Acc.booth: 0.5760, Acc.television receiver: 0.8138, Acc.airplane: 0.8108, Acc.dirt track: 0.3054, Acc.apparel: 0.5778, Acc.pole: 0.5220, Acc.land: 0.1052, Acc.bannister: 0.1795, Acc.escalator: 0.3004, Acc.ottoman: 0.7345, Acc.bottle: 0.4055, Acc.buffet: 0.5235, Acc.poster: 0.3171, Acc.stage: 0.3203, Acc.van: 0.6274, Acc.ship: 0.1054, Acc.fountain: 0.2176, Acc.conveyer belt: 0.7148, Acc.canopy: 0.3493, Acc.washer: 0.7411, Acc.plaything: 0.6571, Acc.swimming pool: 0.6902, Acc.stool: 0.7167, Acc.barrel: 0.9832, Acc.basket: 0.5078, Acc.waterfall: 0.8799, Acc.tent: 0.9791, Acc.bag: 0.2529, Acc.minibike: 0.9017, Acc.cradle: 0.9730, Acc.oven: 0.6751, Acc.ball: 0.6332, Acc.food: 0.8113, Acc.step: 0.2619, Acc.tank: 0.6532, Acc.trade name: 0.2510, Acc.microwave: 0.4612, Acc.pot: 0.6042, Acc.animal: 0.6396, Acc.bicycle: 0.7899, Acc.lake: 0.0101, Acc.dishwasher: 0.8772, Acc.screen: 0.8717, Acc.blanket: 0.3399, Acc.sculpture: 0.8276, Acc.hood: 0.9163, Acc.sconce: 0.6858, Acc.vase: 0.6959, Acc.traffic light: 0.6384, Acc.tray: 0.3232, Acc.ashcan: 0.6882, Acc.fan: 0.8460, Acc.pier: 0.4626, Acc.crt screen: 0.1568, Acc.plate: 0.7419, Acc.monitor: 0.1653, Acc.bulletin board: 0.6935, Acc.shower: 0.2368, Acc.radiator: 0.8428, Acc.glass: 0.2363, Acc.clock: 0.7089, Acc.flag: 0.5397 2023-11-12 12:26:36,546 - mmseg - INFO - Iter [98050/160000] lr: 3.872e-05, eta: 8:38:54, time: 0.863, data_time: 0.392, memory: 41146, decode.loss_cls: 0.1974, decode.loss_mask: 0.4560, decode.loss_dice: 0.6948, decode.d0.loss_cls: 1.1782, decode.d0.loss_mask: 0.4875, decode.d0.loss_dice: 0.7523, decode.d1.loss_cls: 0.2763, decode.d1.loss_mask: 0.4687, decode.d1.loss_dice: 0.7311, decode.d2.loss_cls: 0.2358, decode.d2.loss_mask: 0.4611, decode.d2.loss_dice: 0.7106, decode.d3.loss_cls: 0.2205, decode.d3.loss_mask: 0.4569, decode.d3.loss_dice: 0.6985, decode.d4.loss_cls: 0.2119, decode.d4.loss_mask: 0.4579, decode.d4.loss_dice: 0.6978, decode.d5.loss_cls: 0.2050, decode.d5.loss_mask: 0.4566, decode.d5.loss_dice: 0.7015, decode.d6.loss_cls: 0.2052, decode.d6.loss_mask: 0.4554, decode.d6.loss_dice: 0.6999, decode.d7.loss_cls: 0.1999, decode.d7.loss_mask: 0.4566, decode.d7.loss_dice: 0.7010, decode.d8.loss_cls: 0.1976, decode.d8.loss_mask: 0.4553, decode.d8.loss_dice: 0.6971, loss: 14.8244, grad_norm: 48.4063 2023-11-12 12:27:00,571 - mmseg - INFO - Iter [98100/160000] lr: 3.869e-05, eta: 8:38:28, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1973, decode.loss_mask: 0.4561, decode.loss_dice: 0.6979, decode.d0.loss_cls: 1.1886, decode.d0.loss_mask: 0.4923, decode.d0.loss_dice: 0.7591, decode.d1.loss_cls: 0.2678, decode.d1.loss_mask: 0.4710, decode.d1.loss_dice: 0.7330, decode.d2.loss_cls: 0.2325, decode.d2.loss_mask: 0.4623, decode.d2.loss_dice: 0.7130, decode.d3.loss_cls: 0.2172, decode.d3.loss_mask: 0.4608, decode.d3.loss_dice: 0.7050, decode.d4.loss_cls: 0.2115, decode.d4.loss_mask: 0.4585, decode.d4.loss_dice: 0.7005, decode.d5.loss_cls: 0.2055, decode.d5.loss_mask: 0.4584, decode.d5.loss_dice: 0.7012, decode.d6.loss_cls: 0.2034, decode.d6.loss_mask: 0.4577, decode.d6.loss_dice: 0.6982, decode.d7.loss_cls: 0.1990, decode.d7.loss_mask: 0.4598, decode.d7.loss_dice: 0.7007, decode.d8.loss_cls: 0.1962, decode.d8.loss_mask: 0.4581, decode.d8.loss_dice: 0.6997, loss: 14.8625, grad_norm: 49.1245 2023-11-12 12:27:24,468 - mmseg - INFO - Iter [98150/160000] lr: 3.866e-05, eta: 8:38:02, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2009, decode.loss_mask: 0.4614, decode.loss_dice: 0.6966, decode.d0.loss_cls: 1.1748, decode.d0.loss_mask: 0.4938, decode.d0.loss_dice: 0.7526, decode.d1.loss_cls: 0.2685, decode.d1.loss_mask: 0.4747, decode.d1.loss_dice: 0.7253, decode.d2.loss_cls: 0.2332, decode.d2.loss_mask: 0.4667, decode.d2.loss_dice: 0.7111, decode.d3.loss_cls: 0.2199, decode.d3.loss_mask: 0.4618, decode.d3.loss_dice: 0.6959, decode.d4.loss_cls: 0.2168, decode.d4.loss_mask: 0.4651, decode.d4.loss_dice: 0.6914, decode.d5.loss_cls: 0.2118, decode.d5.loss_mask: 0.4627, decode.d5.loss_dice: 0.6947, decode.d6.loss_cls: 0.2050, decode.d6.loss_mask: 0.4639, decode.d6.loss_dice: 0.6972, decode.d7.loss_cls: 0.2016, decode.d7.loss_mask: 0.4623, decode.d7.loss_dice: 0.6920, decode.d8.loss_cls: 0.2061, decode.d8.loss_mask: 0.4625, decode.d8.loss_dice: 0.6966, loss: 14.8669, grad_norm: 55.1356 2023-11-12 12:27:48,205 - mmseg - INFO - Iter [98200/160000] lr: 3.863e-05, eta: 8:37:36, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2053, decode.loss_mask: 0.4436, decode.loss_dice: 0.6912, decode.d0.loss_cls: 1.1788, decode.d0.loss_mask: 0.4795, decode.d0.loss_dice: 0.7542, decode.d1.loss_cls: 0.2724, decode.d1.loss_mask: 0.4602, decode.d1.loss_dice: 0.7283, decode.d2.loss_cls: 0.2427, decode.d2.loss_mask: 0.4523, decode.d2.loss_dice: 0.7091, decode.d3.loss_cls: 0.2230, decode.d3.loss_mask: 0.4454, decode.d3.loss_dice: 0.6930, decode.d4.loss_cls: 0.2148, decode.d4.loss_mask: 0.4450, decode.d4.loss_dice: 0.6898, decode.d5.loss_cls: 0.2123, decode.d5.loss_mask: 0.4467, decode.d5.loss_dice: 0.6938, decode.d6.loss_cls: 0.2083, decode.d6.loss_mask: 0.4441, decode.d6.loss_dice: 0.6847, decode.d7.loss_cls: 0.2062, decode.d7.loss_mask: 0.4447, decode.d7.loss_dice: 0.6886, decode.d8.loss_cls: 0.2053, decode.d8.loss_mask: 0.4425, decode.d8.loss_dice: 0.6904, loss: 14.6963, grad_norm: 48.0820 2023-11-12 12:28:11,927 - mmseg - INFO - Iter [98250/160000] lr: 3.859e-05, eta: 8:37:10, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1853, decode.loss_mask: 0.4493, decode.loss_dice: 0.6696, decode.d0.loss_cls: 1.1659, decode.d0.loss_mask: 0.4828, decode.d0.loss_dice: 0.7337, decode.d1.loss_cls: 0.2531, decode.d1.loss_mask: 0.4597, decode.d1.loss_dice: 0.7007, decode.d2.loss_cls: 0.2177, decode.d2.loss_mask: 0.4541, decode.d2.loss_dice: 0.6900, decode.d3.loss_cls: 0.2064, decode.d3.loss_mask: 0.4483, decode.d3.loss_dice: 0.6720, decode.d4.loss_cls: 0.1987, decode.d4.loss_mask: 0.4506, decode.d4.loss_dice: 0.6657, decode.d5.loss_cls: 0.1973, decode.d5.loss_mask: 0.4496, decode.d5.loss_dice: 0.6672, decode.d6.loss_cls: 0.1940, decode.d6.loss_mask: 0.4491, decode.d6.loss_dice: 0.6680, decode.d7.loss_cls: 0.1881, decode.d7.loss_mask: 0.4498, decode.d7.loss_dice: 0.6680, decode.d8.loss_cls: 0.1853, decode.d8.loss_mask: 0.4496, decode.d8.loss_dice: 0.6697, loss: 14.3396, grad_norm: 45.3761 2023-11-12 12:28:35,712 - mmseg - INFO - Iter [98300/160000] lr: 3.856e-05, eta: 8:36:44, time: 0.476, data_time: 0.011, memory: 41146, decode.loss_cls: 0.2029, decode.loss_mask: 0.4511, decode.loss_dice: 0.6658, decode.d0.loss_cls: 1.1703, decode.d0.loss_mask: 0.4887, decode.d0.loss_dice: 0.7301, decode.d1.loss_cls: 0.2610, decode.d1.loss_mask: 0.4702, decode.d1.loss_dice: 0.6957, decode.d2.loss_cls: 0.2340, decode.d2.loss_mask: 0.4600, decode.d2.loss_dice: 0.6878, decode.d3.loss_cls: 0.2203, decode.d3.loss_mask: 0.4546, decode.d3.loss_dice: 0.6733, decode.d4.loss_cls: 0.2139, decode.d4.loss_mask: 0.4533, decode.d4.loss_dice: 0.6694, decode.d5.loss_cls: 0.2047, decode.d5.loss_mask: 0.4524, decode.d5.loss_dice: 0.6660, decode.d6.loss_cls: 0.2061, decode.d6.loss_mask: 0.4518, decode.d6.loss_dice: 0.6628, decode.d7.loss_cls: 0.2055, decode.d7.loss_mask: 0.4526, decode.d7.loss_dice: 0.6608, decode.d8.loss_cls: 0.2042, decode.d8.loss_mask: 0.4519, decode.d8.loss_dice: 0.6621, loss: 14.4833, grad_norm: 43.9842 2023-11-12 12:28:59,642 - mmseg - INFO - Iter [98350/160000] lr: 3.853e-05, eta: 8:36:18, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1907, decode.loss_mask: 0.4684, decode.loss_dice: 0.6965, decode.d0.loss_cls: 1.1720, decode.d0.loss_mask: 0.5027, decode.d0.loss_dice: 0.7606, decode.d1.loss_cls: 0.2637, decode.d1.loss_mask: 0.4836, decode.d1.loss_dice: 0.7341, decode.d2.loss_cls: 0.2229, decode.d2.loss_mask: 0.4735, decode.d2.loss_dice: 0.7091, decode.d3.loss_cls: 0.2122, decode.d3.loss_mask: 0.4719, decode.d3.loss_dice: 0.6964, decode.d4.loss_cls: 0.1963, decode.d4.loss_mask: 0.4701, decode.d4.loss_dice: 0.6984, decode.d5.loss_cls: 0.1908, decode.d5.loss_mask: 0.4698, decode.d5.loss_dice: 0.7000, decode.d6.loss_cls: 0.1881, decode.d6.loss_mask: 0.4690, decode.d6.loss_dice: 0.6912, decode.d7.loss_cls: 0.1897, decode.d7.loss_mask: 0.4689, decode.d7.loss_dice: 0.6943, decode.d8.loss_cls: 0.1883, decode.d8.loss_mask: 0.4685, decode.d8.loss_dice: 0.6949, loss: 14.8365, grad_norm: 45.4134 2023-11-12 12:29:23,388 - mmseg - INFO - Iter [98400/160000] lr: 3.850e-05, eta: 8:35:52, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2038, decode.loss_mask: 0.4623, decode.loss_dice: 0.6839, decode.d0.loss_cls: 1.1674, decode.d0.loss_mask: 0.4988, decode.d0.loss_dice: 0.7427, decode.d1.loss_cls: 0.2664, decode.d1.loss_mask: 0.4772, decode.d1.loss_dice: 0.7203, decode.d2.loss_cls: 0.2354, decode.d2.loss_mask: 0.4697, decode.d2.loss_dice: 0.7032, decode.d3.loss_cls: 0.2165, decode.d3.loss_mask: 0.4663, decode.d3.loss_dice: 0.6910, decode.d4.loss_cls: 0.2134, decode.d4.loss_mask: 0.4655, decode.d4.loss_dice: 0.6875, decode.d5.loss_cls: 0.2067, decode.d5.loss_mask: 0.4644, decode.d5.loss_dice: 0.6873, decode.d6.loss_cls: 0.2059, decode.d6.loss_mask: 0.4624, decode.d6.loss_dice: 0.6841, decode.d7.loss_cls: 0.2014, decode.d7.loss_mask: 0.4626, decode.d7.loss_dice: 0.6837, decode.d8.loss_cls: 0.2029, decode.d8.loss_mask: 0.4631, decode.d8.loss_dice: 0.6880, loss: 14.7839, grad_norm: 49.9697 2023-11-12 12:29:47,240 - mmseg - INFO - Iter [98450/160000] lr: 3.847e-05, eta: 8:35:26, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2129, decode.loss_mask: 0.4642, decode.loss_dice: 0.7081, decode.d0.loss_cls: 1.1974, decode.d0.loss_mask: 0.4969, decode.d0.loss_dice: 0.7615, decode.d1.loss_cls: 0.2814, decode.d1.loss_mask: 0.4791, decode.d1.loss_dice: 0.7384, decode.d2.loss_cls: 0.2505, decode.d2.loss_mask: 0.4725, decode.d2.loss_dice: 0.7244, decode.d3.loss_cls: 0.2352, decode.d3.loss_mask: 0.4700, decode.d3.loss_dice: 0.7092, decode.d4.loss_cls: 0.2289, decode.d4.loss_mask: 0.4669, decode.d4.loss_dice: 0.7117, decode.d5.loss_cls: 0.2223, decode.d5.loss_mask: 0.4671, decode.d5.loss_dice: 0.7124, decode.d6.loss_cls: 0.2188, decode.d6.loss_mask: 0.4644, decode.d6.loss_dice: 0.7061, decode.d7.loss_cls: 0.2157, decode.d7.loss_mask: 0.4648, decode.d7.loss_dice: 0.7050, decode.d8.loss_cls: 0.2112, decode.d8.loss_mask: 0.4654, decode.d8.loss_dice: 0.7076, loss: 15.1702, grad_norm: 47.3093 2023-11-12 12:30:11,236 - mmseg - INFO - Iter [98500/160000] lr: 3.844e-05, eta: 8:35:00, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1993, decode.loss_mask: 0.4558, decode.loss_dice: 0.6871, decode.d0.loss_cls: 1.1522, decode.d0.loss_mask: 0.4933, decode.d0.loss_dice: 0.7501, decode.d1.loss_cls: 0.2664, decode.d1.loss_mask: 0.4745, decode.d1.loss_dice: 0.7239, decode.d2.loss_cls: 0.2346, decode.d2.loss_mask: 0.4655, decode.d2.loss_dice: 0.7058, decode.d3.loss_cls: 0.2174, decode.d3.loss_mask: 0.4589, decode.d3.loss_dice: 0.6921, decode.d4.loss_cls: 0.2126, decode.d4.loss_mask: 0.4584, decode.d4.loss_dice: 0.6950, decode.d5.loss_cls: 0.2053, decode.d5.loss_mask: 0.4579, decode.d5.loss_dice: 0.6897, decode.d6.loss_cls: 0.2049, decode.d6.loss_mask: 0.4554, decode.d6.loss_dice: 0.6853, decode.d7.loss_cls: 0.1991, decode.d7.loss_mask: 0.4570, decode.d7.loss_dice: 0.6903, decode.d8.loss_cls: 0.1972, decode.d8.loss_mask: 0.4555, decode.d8.loss_dice: 0.6926, loss: 14.7330, grad_norm: 45.4354 2023-11-12 12:30:37,464 - mmseg - INFO - Iter [98550/160000] lr: 3.841e-05, eta: 8:34:36, time: 0.525, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1958, decode.loss_mask: 0.4573, decode.loss_dice: 0.6895, decode.d0.loss_cls: 1.1425, decode.d0.loss_mask: 0.4898, decode.d0.loss_dice: 0.7479, decode.d1.loss_cls: 0.2561, decode.d1.loss_mask: 0.4726, decode.d1.loss_dice: 0.7183, decode.d2.loss_cls: 0.2270, decode.d2.loss_mask: 0.4638, decode.d2.loss_dice: 0.7054, decode.d3.loss_cls: 0.2160, decode.d3.loss_mask: 0.4579, decode.d3.loss_dice: 0.6957, decode.d4.loss_cls: 0.2097, decode.d4.loss_mask: 0.4581, decode.d4.loss_dice: 0.6935, decode.d5.loss_cls: 0.2057, decode.d5.loss_mask: 0.4588, decode.d5.loss_dice: 0.6894, decode.d6.loss_cls: 0.1944, decode.d6.loss_mask: 0.4581, decode.d6.loss_dice: 0.6915, decode.d7.loss_cls: 0.1996, decode.d7.loss_mask: 0.4583, decode.d7.loss_dice: 0.6887, decode.d8.loss_cls: 0.1958, decode.d8.loss_mask: 0.4572, decode.d8.loss_dice: 0.6900, loss: 14.6845, grad_norm: 48.9349 2023-11-12 12:31:01,202 - mmseg - INFO - Iter [98600/160000] lr: 3.838e-05, eta: 8:34:10, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1944, decode.loss_mask: 0.4466, decode.loss_dice: 0.6853, decode.d0.loss_cls: 1.1631, decode.d0.loss_mask: 0.4832, decode.d0.loss_dice: 0.7522, decode.d1.loss_cls: 0.2567, decode.d1.loss_mask: 0.4634, decode.d1.loss_dice: 0.7217, decode.d2.loss_cls: 0.2266, decode.d2.loss_mask: 0.4549, decode.d2.loss_dice: 0.7045, decode.d3.loss_cls: 0.2133, decode.d3.loss_mask: 0.4497, decode.d3.loss_dice: 0.6886, decode.d4.loss_cls: 0.2084, decode.d4.loss_mask: 0.4488, decode.d4.loss_dice: 0.6886, decode.d5.loss_cls: 0.2021, decode.d5.loss_mask: 0.4479, decode.d5.loss_dice: 0.6904, decode.d6.loss_cls: 0.1986, decode.d6.loss_mask: 0.4482, decode.d6.loss_dice: 0.6850, decode.d7.loss_cls: 0.1960, decode.d7.loss_mask: 0.4464, decode.d7.loss_dice: 0.6856, decode.d8.loss_cls: 0.1940, decode.d8.loss_mask: 0.4470, decode.d8.loss_dice: 0.6869, loss: 14.5783, grad_norm: 46.5799 2023-11-12 12:31:24,894 - mmseg - INFO - Iter [98650/160000] lr: 3.834e-05, eta: 8:33:44, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2099, decode.loss_mask: 0.4495, decode.loss_dice: 0.6951, decode.d0.loss_cls: 1.1911, decode.d0.loss_mask: 0.4822, decode.d0.loss_dice: 0.7611, decode.d1.loss_cls: 0.2758, decode.d1.loss_mask: 0.4636, decode.d1.loss_dice: 0.7305, decode.d2.loss_cls: 0.2447, decode.d2.loss_mask: 0.4570, decode.d2.loss_dice: 0.7153, decode.d3.loss_cls: 0.2295, decode.d3.loss_mask: 0.4527, decode.d3.loss_dice: 0.7052, decode.d4.loss_cls: 0.2185, decode.d4.loss_mask: 0.4519, decode.d4.loss_dice: 0.7031, decode.d5.loss_cls: 0.2122, decode.d5.loss_mask: 0.4515, decode.d5.loss_dice: 0.7006, decode.d6.loss_cls: 0.2140, decode.d6.loss_mask: 0.4491, decode.d6.loss_dice: 0.6959, decode.d7.loss_cls: 0.2157, decode.d7.loss_mask: 0.4499, decode.d7.loss_dice: 0.6942, decode.d8.loss_cls: 0.2055, decode.d8.loss_mask: 0.4501, decode.d8.loss_dice: 0.6975, loss: 14.8729, grad_norm: 47.6102 2023-11-12 12:31:48,654 - mmseg - INFO - Iter [98700/160000] lr: 3.831e-05, eta: 8:33:18, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1756, decode.loss_mask: 0.4458, decode.loss_dice: 0.6736, decode.d0.loss_cls: 1.1445, decode.d0.loss_mask: 0.4816, decode.d0.loss_dice: 0.7360, decode.d1.loss_cls: 0.2411, decode.d1.loss_mask: 0.4609, decode.d1.loss_dice: 0.7081, decode.d2.loss_cls: 0.2027, decode.d2.loss_mask: 0.4497, decode.d2.loss_dice: 0.6901, decode.d3.loss_cls: 0.1891, decode.d3.loss_mask: 0.4471, decode.d3.loss_dice: 0.6776, decode.d4.loss_cls: 0.1865, decode.d4.loss_mask: 0.4459, decode.d4.loss_dice: 0.6756, decode.d5.loss_cls: 0.1802, decode.d5.loss_mask: 0.4456, decode.d5.loss_dice: 0.6788, decode.d6.loss_cls: 0.1799, decode.d6.loss_mask: 0.4468, decode.d6.loss_dice: 0.6690, decode.d7.loss_cls: 0.1740, decode.d7.loss_mask: 0.4454, decode.d7.loss_dice: 0.6708, decode.d8.loss_cls: 0.1721, decode.d8.loss_mask: 0.4457, decode.d8.loss_dice: 0.6753, loss: 14.2150, grad_norm: 44.9603 2023-11-12 12:32:12,505 - mmseg - INFO - Iter [98750/160000] lr: 3.828e-05, eta: 8:32:52, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1789, decode.loss_mask: 0.4377, decode.loss_dice: 0.6650, decode.d0.loss_cls: 1.1788, decode.d0.loss_mask: 0.4676, decode.d0.loss_dice: 0.7146, decode.d1.loss_cls: 0.2519, decode.d1.loss_mask: 0.4454, decode.d1.loss_dice: 0.6889, decode.d2.loss_cls: 0.2204, decode.d2.loss_mask: 0.4414, decode.d2.loss_dice: 0.6753, decode.d3.loss_cls: 0.1965, decode.d3.loss_mask: 0.4409, decode.d3.loss_dice: 0.6650, decode.d4.loss_cls: 0.1857, decode.d4.loss_mask: 0.4416, decode.d4.loss_dice: 0.6657, decode.d5.loss_cls: 0.1889, decode.d5.loss_mask: 0.4391, decode.d5.loss_dice: 0.6656, decode.d6.loss_cls: 0.1886, decode.d6.loss_mask: 0.4376, decode.d6.loss_dice: 0.6636, decode.d7.loss_cls: 0.1829, decode.d7.loss_mask: 0.4370, decode.d7.loss_dice: 0.6661, decode.d8.loss_cls: 0.1807, decode.d8.loss_mask: 0.4378, decode.d8.loss_dice: 0.6673, loss: 14.1162, grad_norm: 45.0992 2023-11-12 12:32:36,310 - mmseg - INFO - Iter [98800/160000] lr: 3.825e-05, eta: 8:32:26, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1952, decode.loss_mask: 0.4410, decode.loss_dice: 0.6888, decode.d0.loss_cls: 1.1683, decode.d0.loss_mask: 0.4737, decode.d0.loss_dice: 0.7464, decode.d1.loss_cls: 0.2598, decode.d1.loss_mask: 0.4560, decode.d1.loss_dice: 0.7277, decode.d2.loss_cls: 0.2276, decode.d2.loss_mask: 0.4471, decode.d2.loss_dice: 0.7056, decode.d3.loss_cls: 0.2104, decode.d3.loss_mask: 0.4433, decode.d3.loss_dice: 0.6929, decode.d4.loss_cls: 0.2018, decode.d4.loss_mask: 0.4441, decode.d4.loss_dice: 0.6951, decode.d5.loss_cls: 0.1976, decode.d5.loss_mask: 0.4424, decode.d5.loss_dice: 0.6928, decode.d6.loss_cls: 0.1993, decode.d6.loss_mask: 0.4396, decode.d6.loss_dice: 0.6861, decode.d7.loss_cls: 0.1946, decode.d7.loss_mask: 0.4405, decode.d7.loss_dice: 0.6906, decode.d8.loss_cls: 0.1968, decode.d8.loss_mask: 0.4397, decode.d8.loss_dice: 0.6898, loss: 14.5347, grad_norm: 41.7728 2023-11-12 12:32:59,891 - mmseg - INFO - Iter [98850/160000] lr: 3.822e-05, eta: 8:32:00, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1893, decode.loss_mask: 0.4494, decode.loss_dice: 0.6801, decode.d0.loss_cls: 1.1855, decode.d0.loss_mask: 0.4801, decode.d0.loss_dice: 0.7331, decode.d1.loss_cls: 0.2550, decode.d1.loss_mask: 0.4604, decode.d1.loss_dice: 0.7089, decode.d2.loss_cls: 0.2187, decode.d2.loss_mask: 0.4538, decode.d2.loss_dice: 0.6984, decode.d3.loss_cls: 0.2050, decode.d3.loss_mask: 0.4500, decode.d3.loss_dice: 0.6894, decode.d4.loss_cls: 0.1968, decode.d4.loss_mask: 0.4515, decode.d4.loss_dice: 0.6847, decode.d5.loss_cls: 0.1983, decode.d5.loss_mask: 0.4487, decode.d5.loss_dice: 0.6808, decode.d6.loss_cls: 0.1938, decode.d6.loss_mask: 0.4466, decode.d6.loss_dice: 0.6785, decode.d7.loss_cls: 0.1831, decode.d7.loss_mask: 0.4498, decode.d7.loss_dice: 0.6845, decode.d8.loss_cls: 0.1846, decode.d8.loss_mask: 0.4484, decode.d8.loss_dice: 0.6837, loss: 14.4711, grad_norm: 50.9084 2023-11-12 12:33:23,777 - mmseg - INFO - Iter [98900/160000] lr: 3.819e-05, eta: 8:31:34, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2279, decode.loss_mask: 0.4706, decode.loss_dice: 0.7131, decode.d0.loss_cls: 1.1822, decode.d0.loss_mask: 0.5006, decode.d0.loss_dice: 0.7749, decode.d1.loss_cls: 0.2869, decode.d1.loss_mask: 0.4856, decode.d1.loss_dice: 0.7461, decode.d2.loss_cls: 0.2553, decode.d2.loss_mask: 0.4766, decode.d2.loss_dice: 0.7360, decode.d3.loss_cls: 0.2420, decode.d3.loss_mask: 0.4725, decode.d3.loss_dice: 0.7169, decode.d4.loss_cls: 0.2352, decode.d4.loss_mask: 0.4676, decode.d4.loss_dice: 0.7159, decode.d5.loss_cls: 0.2275, decode.d5.loss_mask: 0.4699, decode.d5.loss_dice: 0.7203, decode.d6.loss_cls: 0.2268, decode.d6.loss_mask: 0.4691, decode.d6.loss_dice: 0.7105, decode.d7.loss_cls: 0.2181, decode.d7.loss_mask: 0.4696, decode.d7.loss_dice: 0.7167, decode.d8.loss_cls: 0.2237, decode.d8.loss_mask: 0.4692, decode.d8.loss_dice: 0.7133, loss: 15.3406, grad_norm: 51.7330 2023-11-12 12:33:47,751 - mmseg - INFO - Iter [98950/160000] lr: 3.816e-05, eta: 8:31:08, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1960, decode.loss_mask: 0.4454, decode.loss_dice: 0.6986, decode.d0.loss_cls: 1.1811, decode.d0.loss_mask: 0.4801, decode.d0.loss_dice: 0.7584, decode.d1.loss_cls: 0.2691, decode.d1.loss_mask: 0.4540, decode.d1.loss_dice: 0.7271, decode.d2.loss_cls: 0.2368, decode.d2.loss_mask: 0.4492, decode.d2.loss_dice: 0.7148, decode.d3.loss_cls: 0.2182, decode.d3.loss_mask: 0.4457, decode.d3.loss_dice: 0.7026, decode.d4.loss_cls: 0.2105, decode.d4.loss_mask: 0.4449, decode.d4.loss_dice: 0.6980, decode.d5.loss_cls: 0.2082, decode.d5.loss_mask: 0.4440, decode.d5.loss_dice: 0.7013, decode.d6.loss_cls: 0.2046, decode.d6.loss_mask: 0.4420, decode.d6.loss_dice: 0.6982, decode.d7.loss_cls: 0.1996, decode.d7.loss_mask: 0.4435, decode.d7.loss_dice: 0.6989, decode.d8.loss_cls: 0.2010, decode.d8.loss_mask: 0.4432, decode.d8.loss_dice: 0.6968, loss: 14.7119, grad_norm: 44.5181 2023-11-12 12:34:11,729 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 12:34:11,729 - mmseg - INFO - Iter [99000/160000] lr: 3.813e-05, eta: 8:30:43, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1975, decode.loss_mask: 0.4599, decode.loss_dice: 0.6874, decode.d0.loss_cls: 1.1593, decode.d0.loss_mask: 0.4916, decode.d0.loss_dice: 0.7515, decode.d1.loss_cls: 0.2577, decode.d1.loss_mask: 0.4714, decode.d1.loss_dice: 0.7203, decode.d2.loss_cls: 0.2280, decode.d2.loss_mask: 0.4655, decode.d2.loss_dice: 0.7010, decode.d3.loss_cls: 0.2117, decode.d3.loss_mask: 0.4640, decode.d3.loss_dice: 0.6951, decode.d4.loss_cls: 0.2073, decode.d4.loss_mask: 0.4607, decode.d4.loss_dice: 0.6875, decode.d5.loss_cls: 0.1996, decode.d5.loss_mask: 0.4604, decode.d5.loss_dice: 0.6958, decode.d6.loss_cls: 0.1948, decode.d6.loss_mask: 0.4604, decode.d6.loss_dice: 0.6894, decode.d7.loss_cls: 0.1939, decode.d7.loss_mask: 0.4602, decode.d7.loss_dice: 0.6912, decode.d8.loss_cls: 0.1949, decode.d8.loss_mask: 0.4608, decode.d8.loss_dice: 0.6893, loss: 14.7079, grad_norm: 48.3281 2023-11-12 12:34:35,385 - mmseg - INFO - Iter [99050/160000] lr: 3.809e-05, eta: 8:30:17, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1999, decode.loss_mask: 0.4546, decode.loss_dice: 0.6852, decode.d0.loss_cls: 1.2063, decode.d0.loss_mask: 0.4852, decode.d0.loss_dice: 0.7358, decode.d1.loss_cls: 0.2736, decode.d1.loss_mask: 0.4666, decode.d1.loss_dice: 0.7183, decode.d2.loss_cls: 0.2438, decode.d2.loss_mask: 0.4612, decode.d2.loss_dice: 0.6917, decode.d3.loss_cls: 0.2251, decode.d3.loss_mask: 0.4567, decode.d3.loss_dice: 0.6893, decode.d4.loss_cls: 0.2131, decode.d4.loss_mask: 0.4569, decode.d4.loss_dice: 0.6854, decode.d5.loss_cls: 0.2088, decode.d5.loss_mask: 0.4571, decode.d5.loss_dice: 0.6818, decode.d6.loss_cls: 0.2071, decode.d6.loss_mask: 0.4551, decode.d6.loss_dice: 0.6809, decode.d7.loss_cls: 0.2038, decode.d7.loss_mask: 0.4552, decode.d7.loss_dice: 0.6834, decode.d8.loss_cls: 0.2071, decode.d8.loss_mask: 0.4544, decode.d8.loss_dice: 0.6888, loss: 14.7325, grad_norm: 47.7286 2023-11-12 12:34:59,054 - mmseg - INFO - Iter [99100/160000] lr: 3.806e-05, eta: 8:29:51, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1841, decode.loss_mask: 0.4542, decode.loss_dice: 0.6520, decode.d0.loss_cls: 1.1668, decode.d0.loss_mask: 0.4886, decode.d0.loss_dice: 0.7147, decode.d1.loss_cls: 0.2542, decode.d1.loss_mask: 0.4687, decode.d1.loss_dice: 0.6883, decode.d2.loss_cls: 0.2188, decode.d2.loss_mask: 0.4600, decode.d2.loss_dice: 0.6651, decode.d3.loss_cls: 0.2037, decode.d3.loss_mask: 0.4555, decode.d3.loss_dice: 0.6519, decode.d4.loss_cls: 0.1930, decode.d4.loss_mask: 0.4544, decode.d4.loss_dice: 0.6552, decode.d5.loss_cls: 0.1861, decode.d5.loss_mask: 0.4571, decode.d5.loss_dice: 0.6564, decode.d6.loss_cls: 0.1863, decode.d6.loss_mask: 0.4554, decode.d6.loss_dice: 0.6491, decode.d7.loss_cls: 0.1836, decode.d7.loss_mask: 0.4547, decode.d7.loss_dice: 0.6498, decode.d8.loss_cls: 0.1834, decode.d8.loss_mask: 0.4546, decode.d8.loss_dice: 0.6506, loss: 14.1964, grad_norm: 46.5662 2023-11-12 12:35:22,812 - mmseg - INFO - Iter [99150/160000] lr: 3.803e-05, eta: 8:29:25, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1965, decode.loss_mask: 0.4445, decode.loss_dice: 0.6780, decode.d0.loss_cls: 1.1757, decode.d0.loss_mask: 0.4760, decode.d0.loss_dice: 0.7336, decode.d1.loss_cls: 0.2626, decode.d1.loss_mask: 0.4592, decode.d1.loss_dice: 0.7075, decode.d2.loss_cls: 0.2283, decode.d2.loss_mask: 0.4522, decode.d2.loss_dice: 0.6950, decode.d3.loss_cls: 0.2164, decode.d3.loss_mask: 0.4466, decode.d3.loss_dice: 0.6807, decode.d4.loss_cls: 0.2080, decode.d4.loss_mask: 0.4444, decode.d4.loss_dice: 0.6776, decode.d5.loss_cls: 0.2003, decode.d5.loss_mask: 0.4445, decode.d5.loss_dice: 0.6786, decode.d6.loss_cls: 0.2022, decode.d6.loss_mask: 0.4434, decode.d6.loss_dice: 0.6767, decode.d7.loss_cls: 0.1964, decode.d7.loss_mask: 0.4443, decode.d7.loss_dice: 0.6805, decode.d8.loss_cls: 0.1953, decode.d8.loss_mask: 0.4464, decode.d8.loss_dice: 0.6785, loss: 14.4698, grad_norm: 47.8405 2023-11-12 12:35:46,769 - mmseg - INFO - Iter [99200/160000] lr: 3.800e-05, eta: 8:28:59, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1910, decode.loss_mask: 0.4449, decode.loss_dice: 0.7010, decode.d0.loss_cls: 1.1955, decode.d0.loss_mask: 0.4795, decode.d0.loss_dice: 0.7589, decode.d1.loss_cls: 0.2687, decode.d1.loss_mask: 0.4605, decode.d1.loss_dice: 0.7301, decode.d2.loss_cls: 0.2332, decode.d2.loss_mask: 0.4532, decode.d2.loss_dice: 0.7199, decode.d3.loss_cls: 0.2163, decode.d3.loss_mask: 0.4491, decode.d3.loss_dice: 0.7004, decode.d4.loss_cls: 0.2051, decode.d4.loss_mask: 0.4471, decode.d4.loss_dice: 0.7015, decode.d5.loss_cls: 0.1976, decode.d5.loss_mask: 0.4484, decode.d5.loss_dice: 0.7069, decode.d6.loss_cls: 0.1980, decode.d6.loss_mask: 0.4461, decode.d6.loss_dice: 0.7014, decode.d7.loss_cls: 0.1892, decode.d7.loss_mask: 0.4452, decode.d7.loss_dice: 0.7039, decode.d8.loss_cls: 0.1929, decode.d8.loss_mask: 0.4444, decode.d8.loss_dice: 0.7026, loss: 14.7323, grad_norm: 43.3788 2023-11-12 12:36:10,373 - mmseg - INFO - Iter [99250/160000] lr: 3.797e-05, eta: 8:28:33, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1833, decode.loss_mask: 0.4524, decode.loss_dice: 0.6901, decode.d0.loss_cls: 1.1620, decode.d0.loss_mask: 0.4856, decode.d0.loss_dice: 0.7472, decode.d1.loss_cls: 0.2530, decode.d1.loss_mask: 0.4701, decode.d1.loss_dice: 0.7172, decode.d2.loss_cls: 0.2208, decode.d2.loss_mask: 0.4578, decode.d2.loss_dice: 0.7037, decode.d3.loss_cls: 0.2027, decode.d3.loss_mask: 0.4524, decode.d3.loss_dice: 0.6909, decode.d4.loss_cls: 0.2013, decode.d4.loss_mask: 0.4508, decode.d4.loss_dice: 0.6912, decode.d5.loss_cls: 0.1903, decode.d5.loss_mask: 0.4527, decode.d5.loss_dice: 0.6885, decode.d6.loss_cls: 0.1902, decode.d6.loss_mask: 0.4524, decode.d6.loss_dice: 0.6819, decode.d7.loss_cls: 0.1851, decode.d7.loss_mask: 0.4522, decode.d7.loss_dice: 0.6903, decode.d8.loss_cls: 0.1832, decode.d8.loss_mask: 0.4512, decode.d8.loss_dice: 0.6896, loss: 14.5400, grad_norm: 51.4194 2023-11-12 12:36:34,308 - mmseg - INFO - Iter [99300/160000] lr: 3.794e-05, eta: 8:28:07, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1850, decode.loss_mask: 0.4636, decode.loss_dice: 0.6917, decode.d0.loss_cls: 1.1454, decode.d0.loss_mask: 0.4977, decode.d0.loss_dice: 0.7510, decode.d1.loss_cls: 0.2418, decode.d1.loss_mask: 0.4788, decode.d1.loss_dice: 0.7246, decode.d2.loss_cls: 0.2135, decode.d2.loss_mask: 0.4705, decode.d2.loss_dice: 0.7070, decode.d3.loss_cls: 0.2000, decode.d3.loss_mask: 0.4671, decode.d3.loss_dice: 0.6930, decode.d4.loss_cls: 0.1938, decode.d4.loss_mask: 0.4669, decode.d4.loss_dice: 0.6954, decode.d5.loss_cls: 0.1944, decode.d5.loss_mask: 0.4653, decode.d5.loss_dice: 0.6938, decode.d6.loss_cls: 0.1843, decode.d6.loss_mask: 0.4659, decode.d6.loss_dice: 0.6902, decode.d7.loss_cls: 0.1850, decode.d7.loss_mask: 0.4669, decode.d7.loss_dice: 0.6900, decode.d8.loss_cls: 0.1868, decode.d8.loss_mask: 0.4654, decode.d8.loss_dice: 0.6889, loss: 14.6636, grad_norm: 46.7706 2023-11-12 12:36:57,993 - mmseg - INFO - Iter [99350/160000] lr: 3.791e-05, eta: 8:27:41, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1949, decode.loss_mask: 0.4486, decode.loss_dice: 0.6708, decode.d0.loss_cls: 1.1875, decode.d0.loss_mask: 0.4863, decode.d0.loss_dice: 0.7331, decode.d1.loss_cls: 0.2614, decode.d1.loss_mask: 0.4631, decode.d1.loss_dice: 0.7009, decode.d2.loss_cls: 0.2236, decode.d2.loss_mask: 0.4601, decode.d2.loss_dice: 0.6836, decode.d3.loss_cls: 0.2149, decode.d3.loss_mask: 0.4537, decode.d3.loss_dice: 0.6766, decode.d4.loss_cls: 0.2067, decode.d4.loss_mask: 0.4515, decode.d4.loss_dice: 0.6735, decode.d5.loss_cls: 0.2008, decode.d5.loss_mask: 0.4497, decode.d5.loss_dice: 0.6703, decode.d6.loss_cls: 0.1984, decode.d6.loss_mask: 0.4510, decode.d6.loss_dice: 0.6706, decode.d7.loss_cls: 0.1940, decode.d7.loss_mask: 0.4507, decode.d7.loss_dice: 0.6719, decode.d8.loss_cls: 0.1944, decode.d8.loss_mask: 0.4507, decode.d8.loss_dice: 0.6695, loss: 14.4628, grad_norm: 48.3523 2023-11-12 12:37:22,216 - mmseg - INFO - Iter [99400/160000] lr: 3.788e-05, eta: 8:27:15, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1954, decode.loss_mask: 0.4568, decode.loss_dice: 0.6932, decode.d0.loss_cls: 1.2012, decode.d0.loss_mask: 0.4917, decode.d0.loss_dice: 0.7535, decode.d1.loss_cls: 0.2798, decode.d1.loss_mask: 0.4741, decode.d1.loss_dice: 0.7199, decode.d2.loss_cls: 0.2403, decode.d2.loss_mask: 0.4645, decode.d2.loss_dice: 0.7007, decode.d3.loss_cls: 0.2161, decode.d3.loss_mask: 0.4599, decode.d3.loss_dice: 0.6897, decode.d4.loss_cls: 0.2065, decode.d4.loss_mask: 0.4604, decode.d4.loss_dice: 0.6929, decode.d5.loss_cls: 0.2093, decode.d5.loss_mask: 0.4578, decode.d5.loss_dice: 0.6917, decode.d6.loss_cls: 0.2041, decode.d6.loss_mask: 0.4573, decode.d6.loss_dice: 0.6936, decode.d7.loss_cls: 0.2040, decode.d7.loss_mask: 0.4569, decode.d7.loss_dice: 0.6898, decode.d8.loss_cls: 0.1968, decode.d8.loss_mask: 0.4567, decode.d8.loss_dice: 0.6916, loss: 14.8061, grad_norm: 49.6663 2023-11-12 12:37:45,848 - mmseg - INFO - Iter [99450/160000] lr: 3.784e-05, eta: 8:26:49, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1951, decode.loss_mask: 0.4604, decode.loss_dice: 0.6721, decode.d0.loss_cls: 1.1467, decode.d0.loss_mask: 0.4917, decode.d0.loss_dice: 0.7348, decode.d1.loss_cls: 0.2584, decode.d1.loss_mask: 0.4759, decode.d1.loss_dice: 0.7140, decode.d2.loss_cls: 0.2217, decode.d2.loss_mask: 0.4679, decode.d2.loss_dice: 0.6907, decode.d3.loss_cls: 0.2059, decode.d3.loss_mask: 0.4616, decode.d3.loss_dice: 0.6808, decode.d4.loss_cls: 0.1957, decode.d4.loss_mask: 0.4636, decode.d4.loss_dice: 0.6791, decode.d5.loss_cls: 0.1999, decode.d5.loss_mask: 0.4628, decode.d5.loss_dice: 0.6748, decode.d6.loss_cls: 0.1958, decode.d6.loss_mask: 0.4607, decode.d6.loss_dice: 0.6774, decode.d7.loss_cls: 0.1912, decode.d7.loss_mask: 0.4606, decode.d7.loss_dice: 0.6710, decode.d8.loss_cls: 0.1947, decode.d8.loss_mask: 0.4613, decode.d8.loss_dice: 0.6756, loss: 14.5422, grad_norm: 52.7567 2023-11-12 12:38:09,569 - mmseg - INFO - Iter [99500/160000] lr: 3.781e-05, eta: 8:26:23, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1832, decode.loss_mask: 0.4432, decode.loss_dice: 0.6830, decode.d0.loss_cls: 1.1654, decode.d0.loss_mask: 0.4749, decode.d0.loss_dice: 0.7401, decode.d1.loss_cls: 0.2515, decode.d1.loss_mask: 0.4581, decode.d1.loss_dice: 0.7140, decode.d2.loss_cls: 0.2165, decode.d2.loss_mask: 0.4493, decode.d2.loss_dice: 0.6996, decode.d3.loss_cls: 0.2026, decode.d3.loss_mask: 0.4447, decode.d3.loss_dice: 0.6906, decode.d4.loss_cls: 0.1958, decode.d4.loss_mask: 0.4422, decode.d4.loss_dice: 0.6891, decode.d5.loss_cls: 0.1944, decode.d5.loss_mask: 0.4430, decode.d5.loss_dice: 0.6860, decode.d6.loss_cls: 0.1908, decode.d6.loss_mask: 0.4421, decode.d6.loss_dice: 0.6845, decode.d7.loss_cls: 0.1858, decode.d7.loss_mask: 0.4443, decode.d7.loss_dice: 0.6855, decode.d8.loss_cls: 0.1872, decode.d8.loss_mask: 0.4429, decode.d8.loss_dice: 0.6869, loss: 14.4171, grad_norm: 48.4552 2023-11-12 12:38:33,256 - mmseg - INFO - Iter [99550/160000] lr: 3.778e-05, eta: 8:25:57, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2111, decode.loss_mask: 0.4543, decode.loss_dice: 0.6921, decode.d0.loss_cls: 1.2091, decode.d0.loss_mask: 0.4876, decode.d0.loss_dice: 0.7532, decode.d1.loss_cls: 0.2738, decode.d1.loss_mask: 0.4697, decode.d1.loss_dice: 0.7325, decode.d2.loss_cls: 0.2383, decode.d2.loss_mask: 0.4615, decode.d2.loss_dice: 0.7191, decode.d3.loss_cls: 0.2266, decode.d3.loss_mask: 0.4571, decode.d3.loss_dice: 0.7019, decode.d4.loss_cls: 0.2243, decode.d4.loss_mask: 0.4553, decode.d4.loss_dice: 0.6964, decode.d5.loss_cls: 0.2134, decode.d5.loss_mask: 0.4565, decode.d5.loss_dice: 0.6983, decode.d6.loss_cls: 0.2148, decode.d6.loss_mask: 0.4552, decode.d6.loss_dice: 0.6920, decode.d7.loss_cls: 0.2110, decode.d7.loss_mask: 0.4548, decode.d7.loss_dice: 0.6952, decode.d8.loss_cls: 0.2143, decode.d8.loss_mask: 0.4546, decode.d8.loss_dice: 0.6960, loss: 14.9198, grad_norm: 48.5983 2023-11-12 12:38:57,062 - mmseg - INFO - Iter [99600/160000] lr: 3.775e-05, eta: 8:25:31, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1751, decode.loss_mask: 0.4586, decode.loss_dice: 0.6868, decode.d0.loss_cls: 1.1527, decode.d0.loss_mask: 0.4935, decode.d0.loss_dice: 0.7472, decode.d1.loss_cls: 0.2408, decode.d1.loss_mask: 0.4757, decode.d1.loss_dice: 0.7152, decode.d2.loss_cls: 0.2106, decode.d2.loss_mask: 0.4664, decode.d2.loss_dice: 0.6985, decode.d3.loss_cls: 0.1885, decode.d3.loss_mask: 0.4652, decode.d3.loss_dice: 0.6899, decode.d4.loss_cls: 0.1806, decode.d4.loss_mask: 0.4641, decode.d4.loss_dice: 0.6899, decode.d5.loss_cls: 0.1765, decode.d5.loss_mask: 0.4626, decode.d5.loss_dice: 0.6896, decode.d6.loss_cls: 0.1778, decode.d6.loss_mask: 0.4613, decode.d6.loss_dice: 0.6861, decode.d7.loss_cls: 0.1739, decode.d7.loss_mask: 0.4604, decode.d7.loss_dice: 0.6886, decode.d8.loss_cls: 0.1719, decode.d8.loss_mask: 0.4609, decode.d8.loss_dice: 0.6894, loss: 14.4981, grad_norm: 46.9320 2023-11-12 12:39:20,782 - mmseg - INFO - Iter [99650/160000] lr: 3.772e-05, eta: 8:25:06, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1960, decode.loss_mask: 0.4481, decode.loss_dice: 0.6900, decode.d0.loss_cls: 1.2162, decode.d0.loss_mask: 0.4804, decode.d0.loss_dice: 0.7561, decode.d1.loss_cls: 0.2709, decode.d1.loss_mask: 0.4634, decode.d1.loss_dice: 0.7243, decode.d2.loss_cls: 0.2282, decode.d2.loss_mask: 0.4545, decode.d2.loss_dice: 0.7080, decode.d3.loss_cls: 0.2168, decode.d3.loss_mask: 0.4500, decode.d3.loss_dice: 0.6937, decode.d4.loss_cls: 0.2079, decode.d4.loss_mask: 0.4504, decode.d4.loss_dice: 0.6983, decode.d5.loss_cls: 0.1993, decode.d5.loss_mask: 0.4490, decode.d5.loss_dice: 0.6961, decode.d6.loss_cls: 0.2030, decode.d6.loss_mask: 0.4462, decode.d6.loss_dice: 0.6886, decode.d7.loss_cls: 0.2023, decode.d7.loss_mask: 0.4471, decode.d7.loss_dice: 0.6926, decode.d8.loss_cls: 0.1948, decode.d8.loss_mask: 0.4473, decode.d8.loss_dice: 0.6911, loss: 14.7104, grad_norm: 45.0907 2023-11-12 12:39:44,731 - mmseg - INFO - Iter [99700/160000] lr: 3.769e-05, eta: 8:24:40, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1742, decode.loss_mask: 0.4339, decode.loss_dice: 0.6793, decode.d0.loss_cls: 1.1833, decode.d0.loss_mask: 0.4643, decode.d0.loss_dice: 0.7364, decode.d1.loss_cls: 0.2411, decode.d1.loss_mask: 0.4446, decode.d1.loss_dice: 0.7108, decode.d2.loss_cls: 0.2083, decode.d2.loss_mask: 0.4387, decode.d2.loss_dice: 0.6917, decode.d3.loss_cls: 0.1984, decode.d3.loss_mask: 0.4341, decode.d3.loss_dice: 0.6798, decode.d4.loss_cls: 0.1851, decode.d4.loss_mask: 0.4353, decode.d4.loss_dice: 0.6793, decode.d5.loss_cls: 0.1854, decode.d5.loss_mask: 0.4334, decode.d5.loss_dice: 0.6781, decode.d6.loss_cls: 0.1773, decode.d6.loss_mask: 0.4342, decode.d6.loss_dice: 0.6795, decode.d7.loss_cls: 0.1760, decode.d7.loss_mask: 0.4332, decode.d7.loss_dice: 0.6769, decode.d8.loss_cls: 0.1721, decode.d8.loss_mask: 0.4339, decode.d8.loss_dice: 0.6820, loss: 14.1806, grad_norm: 48.4501 2023-11-12 12:40:08,642 - mmseg - INFO - Iter [99750/160000] lr: 3.766e-05, eta: 8:24:14, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1983, decode.loss_mask: 0.4553, decode.loss_dice: 0.6971, decode.d0.loss_cls: 1.1909, decode.d0.loss_mask: 0.4935, decode.d0.loss_dice: 0.7518, decode.d1.loss_cls: 0.2671, decode.d1.loss_mask: 0.4692, decode.d1.loss_dice: 0.7306, decode.d2.loss_cls: 0.2371, decode.d2.loss_mask: 0.4618, decode.d2.loss_dice: 0.7175, decode.d3.loss_cls: 0.2221, decode.d3.loss_mask: 0.4569, decode.d3.loss_dice: 0.7029, decode.d4.loss_cls: 0.2120, decode.d4.loss_mask: 0.4547, decode.d4.loss_dice: 0.7010, decode.d5.loss_cls: 0.2072, decode.d5.loss_mask: 0.4543, decode.d5.loss_dice: 0.7039, decode.d6.loss_cls: 0.2007, decode.d6.loss_mask: 0.4567, decode.d6.loss_dice: 0.6982, decode.d7.loss_cls: 0.1992, decode.d7.loss_mask: 0.4554, decode.d7.loss_dice: 0.6989, decode.d8.loss_cls: 0.2000, decode.d8.loss_mask: 0.4543, decode.d8.loss_dice: 0.6978, loss: 14.8464, grad_norm: 45.9453 2023-11-12 12:40:35,022 - mmseg - INFO - Iter [99800/160000] lr: 3.763e-05, eta: 8:23:50, time: 0.528, data_time: 0.056, memory: 41146, decode.loss_cls: 0.1896, decode.loss_mask: 0.4507, decode.loss_dice: 0.6818, decode.d0.loss_cls: 1.1765, decode.d0.loss_mask: 0.4821, decode.d0.loss_dice: 0.7428, decode.d1.loss_cls: 0.2668, decode.d1.loss_mask: 0.4624, decode.d1.loss_dice: 0.7165, decode.d2.loss_cls: 0.2246, decode.d2.loss_mask: 0.4558, decode.d2.loss_dice: 0.6981, decode.d3.loss_cls: 0.2093, decode.d3.loss_mask: 0.4508, decode.d3.loss_dice: 0.6815, decode.d4.loss_cls: 0.2020, decode.d4.loss_mask: 0.4502, decode.d4.loss_dice: 0.6841, decode.d5.loss_cls: 0.1981, decode.d5.loss_mask: 0.4503, decode.d5.loss_dice: 0.6849, decode.d6.loss_cls: 0.1912, decode.d6.loss_mask: 0.4513, decode.d6.loss_dice: 0.6801, decode.d7.loss_cls: 0.1909, decode.d7.loss_mask: 0.4511, decode.d7.loss_dice: 0.6801, decode.d8.loss_cls: 0.1903, decode.d8.loss_mask: 0.4508, decode.d8.loss_dice: 0.6827, loss: 14.5279, grad_norm: 48.2380 2023-11-12 12:40:58,787 - mmseg - INFO - Iter [99850/160000] lr: 3.759e-05, eta: 8:23:24, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1803, decode.loss_mask: 0.4566, decode.loss_dice: 0.6680, decode.d0.loss_cls: 1.1561, decode.d0.loss_mask: 0.4872, decode.d0.loss_dice: 0.7191, decode.d1.loss_cls: 0.2479, decode.d1.loss_mask: 0.4619, decode.d1.loss_dice: 0.6923, decode.d2.loss_cls: 0.2060, decode.d2.loss_mask: 0.4579, decode.d2.loss_dice: 0.6783, decode.d3.loss_cls: 0.1944, decode.d3.loss_mask: 0.4556, decode.d3.loss_dice: 0.6687, decode.d4.loss_cls: 0.1906, decode.d4.loss_mask: 0.4544, decode.d4.loss_dice: 0.6668, decode.d5.loss_cls: 0.1891, decode.d5.loss_mask: 0.4533, decode.d5.loss_dice: 0.6669, decode.d6.loss_cls: 0.1887, decode.d6.loss_mask: 0.4527, decode.d6.loss_dice: 0.6627, decode.d7.loss_cls: 0.1883, decode.d7.loss_mask: 0.4524, decode.d7.loss_dice: 0.6667, decode.d8.loss_cls: 0.1827, decode.d8.loss_mask: 0.4545, decode.d8.loss_dice: 0.6675, loss: 14.2676, grad_norm: 47.6988 2023-11-12 12:41:22,522 - mmseg - INFO - Iter [99900/160000] lr: 3.756e-05, eta: 8:22:58, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1750, decode.loss_mask: 0.4387, decode.loss_dice: 0.6661, decode.d0.loss_cls: 1.1779, decode.d0.loss_mask: 0.4709, decode.d0.loss_dice: 0.7238, decode.d1.loss_cls: 0.2361, decode.d1.loss_mask: 0.4541, decode.d1.loss_dice: 0.6977, decode.d2.loss_cls: 0.2100, decode.d2.loss_mask: 0.4465, decode.d2.loss_dice: 0.6870, decode.d3.loss_cls: 0.1930, decode.d3.loss_mask: 0.4412, decode.d3.loss_dice: 0.6756, decode.d4.loss_cls: 0.1814, decode.d4.loss_mask: 0.4397, decode.d4.loss_dice: 0.6737, decode.d5.loss_cls: 0.1789, decode.d5.loss_mask: 0.4412, decode.d5.loss_dice: 0.6730, decode.d6.loss_cls: 0.1791, decode.d6.loss_mask: 0.4400, decode.d6.loss_dice: 0.6704, decode.d7.loss_cls: 0.1776, decode.d7.loss_mask: 0.4396, decode.d7.loss_dice: 0.6649, decode.d8.loss_cls: 0.1747, decode.d8.loss_mask: 0.4405, decode.d8.loss_dice: 0.6679, loss: 14.1363, grad_norm: 46.0545 2023-11-12 12:41:46,286 - mmseg - INFO - Iter [99950/160000] lr: 3.753e-05, eta: 8:22:32, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1839, decode.loss_mask: 0.4613, decode.loss_dice: 0.6804, decode.d0.loss_cls: 1.1463, decode.d0.loss_mask: 0.4976, decode.d0.loss_dice: 0.7402, decode.d1.loss_cls: 0.2507, decode.d1.loss_mask: 0.4745, decode.d1.loss_dice: 0.7113, decode.d2.loss_cls: 0.2176, decode.d2.loss_mask: 0.4658, decode.d2.loss_dice: 0.6975, decode.d3.loss_cls: 0.2068, decode.d3.loss_mask: 0.4607, decode.d3.loss_dice: 0.6804, decode.d4.loss_cls: 0.2008, decode.d4.loss_mask: 0.4597, decode.d4.loss_dice: 0.6801, decode.d5.loss_cls: 0.1942, decode.d5.loss_mask: 0.4602, decode.d5.loss_dice: 0.6836, decode.d6.loss_cls: 0.1897, decode.d6.loss_mask: 0.4613, decode.d6.loss_dice: 0.6763, decode.d7.loss_cls: 0.1906, decode.d7.loss_mask: 0.4611, decode.d7.loss_dice: 0.6781, decode.d8.loss_cls: 0.1865, decode.d8.loss_mask: 0.4601, decode.d8.loss_dice: 0.6786, loss: 14.5359, grad_norm: 49.5997 2023-11-12 12:42:10,098 - mmseg - INFO - Saving checkpoint at 100000 iterations 2023-11-12 12:42:14,072 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 12:42:14,073 - mmseg - INFO - Iter [100000/160000] lr: 3.750e-05, eta: 8:22:08, time: 0.556, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1834, decode.loss_mask: 0.4483, decode.loss_dice: 0.6898, decode.d0.loss_cls: 1.1814, decode.d0.loss_mask: 0.4813, decode.d0.loss_dice: 0.7521, decode.d1.loss_cls: 0.2571, decode.d1.loss_mask: 0.4666, decode.d1.loss_dice: 0.7259, decode.d2.loss_cls: 0.2177, decode.d2.loss_mask: 0.4561, decode.d2.loss_dice: 0.7099, decode.d3.loss_cls: 0.2016, decode.d3.loss_mask: 0.4514, decode.d3.loss_dice: 0.6941, decode.d4.loss_cls: 0.1922, decode.d4.loss_mask: 0.4519, decode.d4.loss_dice: 0.6938, decode.d5.loss_cls: 0.1907, decode.d5.loss_mask: 0.4519, decode.d5.loss_dice: 0.6940, decode.d6.loss_cls: 0.1899, decode.d6.loss_mask: 0.4494, decode.d6.loss_dice: 0.6943, decode.d7.loss_cls: 0.1866, decode.d7.loss_mask: 0.4474, decode.d7.loss_dice: 0.6869, decode.d8.loss_cls: 0.1875, decode.d8.loss_mask: 0.4490, decode.d8.loss_dice: 0.6907, loss: 14.5728, grad_norm: 48.4800 2023-11-12 12:42:33,152 - mmseg - INFO - per class results: 2023-11-12 12:42:33,157 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.34 | 88.2 | | building | 82.92 | 91.04 | | sky | 94.94 | 97.43 | | floor | 82.93 | 90.14 | | tree | 75.56 | 87.99 | | ceiling | 85.04 | 91.17 | | road | 85.44 | 90.14 | | bed | 90.74 | 95.64 | | windowpane | 64.45 | 80.82 | | grass | 62.6 | 70.55 | | cabinet | 63.6 | 75.1 | | sidewalk | 66.25 | 82.19 | | person | 84.71 | 93.19 | | earth | 38.23 | 58.15 | | door | 51.78 | 66.68 | | table | 65.9 | 79.43 | | mountain | 61.59 | 70.94 | | plant | 54.31 | 71.11 | | curtain | 77.83 | 87.96 | | chair | 64.01 | 81.25 | | car | 85.53 | 91.38 | | water | 55.75 | 68.85 | | painting | 78.84 | 88.92 | | sofa | 69.2 | 81.4 | | shelf | 41.87 | 56.5 | | house | 41.18 | 71.12 | | sea | 73.88 | 90.49 | | mirror | 69.62 | 82.14 | | rug | 67.41 | 80.57 | | field | 25.26 | 49.55 | | armchair | 45.75 | 60.61 | | seat | 64.31 | 81.95 | | fence | 47.21 | 66.35 | | desk | 49.31 | 65.16 | | rock | 50.49 | 76.83 | | wardrobe | 47.26 | 70.77 | | lamp | 71.89 | 83.7 | | bathtub | 73.67 | 86.67 | | railing | 38.64 | 55.04 | | cushion | 62.49 | 74.33 | | base | 33.76 | 48.92 | | box | 28.9 | 42.16 | | column | 47.48 | 64.62 | | signboard | 36.62 | 56.61 | | chest of drawers | 43.67 | 67.19 | | counter | 21.38 | 27.88 | | sand | 40.68 | 45.41 | | sink | 76.9 | 85.76 | | skyscraper | 38.93 | 46.48 | | fireplace | 73.81 | 93.01 | | refrigerator | 78.47 | 90.15 | | grandstand | 43.78 | 64.85 | | path | 31.32 | 47.34 | | stairs | 35.81 | 47.69 | | runway | 85.0 | 88.4 | | case | 55.26 | 80.91 | | pool table | 93.69 | 97.92 | | pillow | 61.86 | 80.02 | | screen door | 60.2 | 65.88 | | stairway | 32.63 | 40.88 | | river | 16.34 | 34.18 | | bridge | 73.2 | 83.87 | | bookcase | 35.08 | 63.86 | | blind | 49.64 | 55.13 | | coffee table | 65.03 | 83.17 | | toilet | 88.46 | 91.72 | | flower | 42.24 | 57.51 | | book | 49.89 | 75.65 | | hill | 6.01 | 14.62 | | bench | 61.2 | 73.27 | | countertop | 57.38 | 67.97 | | stove | 82.73 | 89.66 | | palm | 54.18 | 70.56 | | kitchen island | 48.11 | 89.1 | | computer | 69.18 | 75.71 | | swivel chair | 35.45 | 44.97 | | boat | 48.44 | 50.85 | | bar | 51.85 | 71.26 | | arcade machine | 77.77 | 83.81 | | hovel | 7.41 | 7.98 | | bus | 93.07 | 96.02 | | towel | 64.41 | 82.09 | | light | 62.99 | 77.84 | | truck | 30.0 | 59.85 | | tower | 20.78 | 36.35 | | chandelier | 73.04 | 88.5 | | awning | 33.31 | 46.11 | | streetlight | 39.27 | 58.97 | | booth | 28.11 | 40.8 | | television receiver | 73.36 | 82.12 | | airplane | 83.09 | 92.52 | | dirt track | 3.05 | 22.65 | | apparel | 34.63 | 66.88 | | pole | 34.17 | 56.88 | | land | 8.23 | 10.24 | | bannister | 17.19 | 29.49 | | escalator | 26.18 | 34.87 | | ottoman | 55.15 | 67.91 | | bottle | 36.43 | 44.12 | | buffet | 46.88 | 55.04 | | poster | 30.62 | 44.1 | | stage | 12.84 | 35.01 | | van | 46.77 | 71.47 | | ship | 8.27 | 11.84 | | fountain | 18.4 | 21.87 | | conveyer belt | 66.21 | 94.12 | | canopy | 25.63 | 38.52 | | washer | 71.77 | 73.95 | | plaything | 43.97 | 60.71 | | swimming pool | 59.12 | 61.32 | | stool | 47.51 | 69.56 | | barrel | 82.0 | 95.86 | | basket | 39.84 | 55.62 | | waterfall | 51.57 | 70.75 | | tent | 94.64 | 98.14 | | bag | 17.2 | 24.75 | | minibike | 76.19 | 91.91 | | cradle | 86.0 | 97.77 | | oven | 27.47 | 78.9 | | ball | 40.96 | 46.71 | | food | 65.37 | 82.57 | | step | 21.52 | 27.05 | | tank | 43.75 | 65.47 | | trade name | 16.57 | 20.02 | | microwave | 39.37 | 41.73 | | pot | 49.8 | 58.4 | | animal | 59.13 | 60.64 | | bicycle | 59.73 | 79.48 | | lake | 39.06 | 63.62 | | dishwasher | 76.55 | 83.19 | | screen | 57.83 | 88.76 | | blanket | 23.33 | 31.99 | | sculpture | 60.16 | 85.35 | | hood | 85.79 | 93.73 | | sconce | 54.03 | 66.2 | | vase | 49.24 | 70.78 | | traffic light | 33.08 | 60.61 | | tray | 14.85 | 26.25 | | ashcan | 49.57 | 68.72 | | fan | 71.07 | 84.89 | | pier | 32.92 | 44.84 | | crt screen | 1.25 | 3.41 | | plate | 59.56 | 72.3 | | monitor | 9.02 | 13.16 | | bulletin board | 50.71 | 81.86 | | shower | 2.53 | 29.18 | | radiator | 71.59 | 85.29 | | glass | 21.55 | 23.88 | | clock | 58.97 | 72.83 | | flag | 47.33 | 52.94 | +---------------------+-------+-------+ 2023-11-12 12:42:33,157 - mmseg - INFO - Summary: 2023-11-12 12:42:33,157 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.79 | 51.78 | 65.53 | +-------+-------+-------+ 2023-11-12 12:42:33,158 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 12:42:33,158 - mmseg - INFO - Iter(val) [250] aAcc: 0.8379, mIoU: 0.5178, mAcc: 0.6553, IoU.wall: 0.7934, IoU.building: 0.8292, IoU.sky: 0.9494, IoU.floor: 0.8293, IoU.tree: 0.7556, IoU.ceiling: 0.8504, IoU.road: 0.8544, IoU.bed : 0.9074, IoU.windowpane: 0.6445, IoU.grass: 0.6260, IoU.cabinet: 0.6360, IoU.sidewalk: 0.6625, IoU.person: 0.8471, IoU.earth: 0.3823, IoU.door: 0.5178, IoU.table: 0.6590, IoU.mountain: 0.6159, IoU.plant: 0.5431, IoU.curtain: 0.7783, IoU.chair: 0.6401, IoU.car: 0.8553, IoU.water: 0.5575, IoU.painting: 0.7884, IoU.sofa: 0.6920, IoU.shelf: 0.4187, IoU.house: 0.4118, IoU.sea: 0.7388, IoU.mirror: 0.6962, IoU.rug: 0.6741, IoU.field: 0.2526, IoU.armchair: 0.4575, IoU.seat: 0.6431, IoU.fence: 0.4721, IoU.desk: 0.4931, IoU.rock: 0.5049, IoU.wardrobe: 0.4726, IoU.lamp: 0.7189, IoU.bathtub: 0.7367, IoU.railing: 0.3864, IoU.cushion: 0.6249, IoU.base: 0.3376, IoU.box: 0.2890, IoU.column: 0.4748, IoU.signboard: 0.3662, IoU.chest of drawers: 0.4367, IoU.counter: 0.2138, IoU.sand: 0.4068, IoU.sink: 0.7690, IoU.skyscraper: 0.3893, IoU.fireplace: 0.7381, IoU.refrigerator: 0.7847, IoU.grandstand: 0.4378, IoU.path: 0.3132, IoU.stairs: 0.3581, IoU.runway: 0.8500, IoU.case: 0.5526, IoU.pool table: 0.9369, IoU.pillow: 0.6186, IoU.screen door: 0.6020, IoU.stairway: 0.3263, IoU.river: 0.1634, IoU.bridge: 0.7320, IoU.bookcase: 0.3508, IoU.blind: 0.4964, IoU.coffee table: 0.6503, IoU.toilet: 0.8846, IoU.flower: 0.4224, IoU.book: 0.4989, IoU.hill: 0.0601, IoU.bench: 0.6120, IoU.countertop: 0.5738, IoU.stove: 0.8273, IoU.palm: 0.5418, IoU.kitchen island: 0.4811, IoU.computer: 0.6918, IoU.swivel chair: 0.3545, IoU.boat: 0.4844, IoU.bar: 0.5185, IoU.arcade machine: 0.7777, IoU.hovel: 0.0741, IoU.bus: 0.9307, IoU.towel: 0.6441, IoU.light: 0.6299, IoU.truck: 0.3000, IoU.tower: 0.2078, IoU.chandelier: 0.7304, IoU.awning: 0.3331, IoU.streetlight: 0.3927, IoU.booth: 0.2811, IoU.television receiver: 0.7336, IoU.airplane: 0.8309, IoU.dirt track: 0.0305, IoU.apparel: 0.3463, IoU.pole: 0.3417, IoU.land: 0.0823, IoU.bannister: 0.1719, IoU.escalator: 0.2618, IoU.ottoman: 0.5515, IoU.bottle: 0.3643, IoU.buffet: 0.4688, IoU.poster: 0.3062, IoU.stage: 0.1284, IoU.van: 0.4677, IoU.ship: 0.0827, IoU.fountain: 0.1840, IoU.conveyer belt: 0.6621, IoU.canopy: 0.2563, IoU.washer: 0.7177, IoU.plaything: 0.4397, IoU.swimming pool: 0.5912, IoU.stool: 0.4751, IoU.barrel: 0.8200, IoU.basket: 0.3984, IoU.waterfall: 0.5157, IoU.tent: 0.9464, IoU.bag: 0.1720, IoU.minibike: 0.7619, IoU.cradle: 0.8600, IoU.oven: 0.2747, IoU.ball: 0.4096, IoU.food: 0.6537, IoU.step: 0.2152, IoU.tank: 0.4375, IoU.trade name: 0.1657, IoU.microwave: 0.3937, IoU.pot: 0.4980, IoU.animal: 0.5913, IoU.bicycle: 0.5973, IoU.lake: 0.3906, IoU.dishwasher: 0.7655, IoU.screen: 0.5783, IoU.blanket: 0.2333, IoU.sculpture: 0.6016, IoU.hood: 0.8579, IoU.sconce: 0.5403, IoU.vase: 0.4924, IoU.traffic light: 0.3308, IoU.tray: 0.1485, IoU.ashcan: 0.4957, IoU.fan: 0.7107, IoU.pier: 0.3292, IoU.crt screen: 0.0125, IoU.plate: 0.5956, IoU.monitor: 0.0902, IoU.bulletin board: 0.5071, IoU.shower: 0.0253, IoU.radiator: 0.7159, IoU.glass: 0.2155, IoU.clock: 0.5897, IoU.flag: 0.4733, Acc.wall: 0.8820, Acc.building: 0.9104, Acc.sky: 0.9743, Acc.floor: 0.9014, Acc.tree: 0.8799, Acc.ceiling: 0.9117, Acc.road: 0.9014, Acc.bed : 0.9564, Acc.windowpane: 0.8082, Acc.grass: 0.7055, Acc.cabinet: 0.7510, Acc.sidewalk: 0.8219, Acc.person: 0.9319, Acc.earth: 0.5815, Acc.door: 0.6668, Acc.table: 0.7943, Acc.mountain: 0.7094, Acc.plant: 0.7111, Acc.curtain: 0.8796, Acc.chair: 0.8125, Acc.car: 0.9138, Acc.water: 0.6885, Acc.painting: 0.8892, Acc.sofa: 0.8140, Acc.shelf: 0.5650, Acc.house: 0.7112, Acc.sea: 0.9049, Acc.mirror: 0.8214, Acc.rug: 0.8057, Acc.field: 0.4955, Acc.armchair: 0.6061, Acc.seat: 0.8195, Acc.fence: 0.6635, Acc.desk: 0.6516, Acc.rock: 0.7683, Acc.wardrobe: 0.7077, Acc.lamp: 0.8370, Acc.bathtub: 0.8667, Acc.railing: 0.5504, Acc.cushion: 0.7433, Acc.base: 0.4892, Acc.box: 0.4216, Acc.column: 0.6462, Acc.signboard: 0.5661, Acc.chest of drawers: 0.6719, Acc.counter: 0.2788, Acc.sand: 0.4541, Acc.sink: 0.8576, Acc.skyscraper: 0.4648, Acc.fireplace: 0.9301, Acc.refrigerator: 0.9015, Acc.grandstand: 0.6485, Acc.path: 0.4734, Acc.stairs: 0.4769, Acc.runway: 0.8840, Acc.case: 0.8091, Acc.pool table: 0.9792, Acc.pillow: 0.8002, Acc.screen door: 0.6588, Acc.stairway: 0.4088, Acc.river: 0.3418, Acc.bridge: 0.8387, Acc.bookcase: 0.6386, Acc.blind: 0.5513, Acc.coffee table: 0.8317, Acc.toilet: 0.9172, Acc.flower: 0.5751, Acc.book: 0.7565, Acc.hill: 0.1462, Acc.bench: 0.7327, Acc.countertop: 0.6797, Acc.stove: 0.8966, Acc.palm: 0.7056, Acc.kitchen island: 0.8910, Acc.computer: 0.7571, Acc.swivel chair: 0.4497, Acc.boat: 0.5085, Acc.bar: 0.7126, Acc.arcade machine: 0.8381, Acc.hovel: 0.0798, Acc.bus: 0.9602, Acc.towel: 0.8209, Acc.light: 0.7784, Acc.truck: 0.5985, Acc.tower: 0.3635, Acc.chandelier: 0.8850, Acc.awning: 0.4611, Acc.streetlight: 0.5897, Acc.booth: 0.4080, Acc.television receiver: 0.8212, Acc.airplane: 0.9252, Acc.dirt track: 0.2265, Acc.apparel: 0.6688, Acc.pole: 0.5688, Acc.land: 0.1024, Acc.bannister: 0.2949, Acc.escalator: 0.3487, Acc.ottoman: 0.6791, Acc.bottle: 0.4412, Acc.buffet: 0.5504, Acc.poster: 0.4410, Acc.stage: 0.3501, Acc.van: 0.7147, Acc.ship: 0.1184, Acc.fountain: 0.2187, Acc.conveyer belt: 0.9412, Acc.canopy: 0.3852, Acc.washer: 0.7395, Acc.plaything: 0.6071, Acc.swimming pool: 0.6132, Acc.stool: 0.6956, Acc.barrel: 0.9586, Acc.basket: 0.5562, Acc.waterfall: 0.7075, Acc.tent: 0.9814, Acc.bag: 0.2475, Acc.minibike: 0.9191, Acc.cradle: 0.9777, Acc.oven: 0.7890, Acc.ball: 0.4671, Acc.food: 0.8257, Acc.step: 0.2705, Acc.tank: 0.6547, Acc.trade name: 0.2002, Acc.microwave: 0.4173, Acc.pot: 0.5840, Acc.animal: 0.6064, Acc.bicycle: 0.7948, Acc.lake: 0.6362, Acc.dishwasher: 0.8319, Acc.screen: 0.8876, Acc.blanket: 0.3199, Acc.sculpture: 0.8535, Acc.hood: 0.9373, Acc.sconce: 0.6620, Acc.vase: 0.7078, Acc.traffic light: 0.6061, Acc.tray: 0.2625, Acc.ashcan: 0.6872, Acc.fan: 0.8489, Acc.pier: 0.4484, Acc.crt screen: 0.0341, Acc.plate: 0.7230, Acc.monitor: 0.1316, Acc.bulletin board: 0.8186, Acc.shower: 0.2918, Acc.radiator: 0.8529, Acc.glass: 0.2388, Acc.clock: 0.7283, Acc.flag: 0.5294 2023-11-12 12:42:57,043 - mmseg - INFO - Iter [100050/160000] lr: 3.747e-05, eta: 8:21:54, time: 0.859, data_time: 0.394, memory: 41146, decode.loss_cls: 0.1911, decode.loss_mask: 0.4414, decode.loss_dice: 0.6752, decode.d0.loss_cls: 1.1535, decode.d0.loss_mask: 0.4776, decode.d0.loss_dice: 0.7315, decode.d1.loss_cls: 0.2568, decode.d1.loss_mask: 0.4565, decode.d1.loss_dice: 0.7045, decode.d2.loss_cls: 0.2216, decode.d2.loss_mask: 0.4463, decode.d2.loss_dice: 0.6928, decode.d3.loss_cls: 0.2144, decode.d3.loss_mask: 0.4437, decode.d3.loss_dice: 0.6789, decode.d4.loss_cls: 0.2000, decode.d4.loss_mask: 0.4429, decode.d4.loss_dice: 0.6806, decode.d5.loss_cls: 0.1986, decode.d5.loss_mask: 0.4424, decode.d5.loss_dice: 0.6821, decode.d6.loss_cls: 0.1930, decode.d6.loss_mask: 0.4439, decode.d6.loss_dice: 0.6738, decode.d7.loss_cls: 0.1895, decode.d7.loss_mask: 0.4454, decode.d7.loss_dice: 0.6815, decode.d8.loss_cls: 0.1897, decode.d8.loss_mask: 0.4443, decode.d8.loss_dice: 0.6799, loss: 14.3735, grad_norm: 48.5749 2023-11-12 12:43:20,752 - mmseg - INFO - Iter [100100/160000] lr: 3.744e-05, eta: 8:21:28, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1784, decode.loss_mask: 0.4453, decode.loss_dice: 0.6778, decode.d0.loss_cls: 1.1822, decode.d0.loss_mask: 0.4780, decode.d0.loss_dice: 0.7299, decode.d1.loss_cls: 0.2437, decode.d1.loss_mask: 0.4593, decode.d1.loss_dice: 0.7055, decode.d2.loss_cls: 0.2063, decode.d2.loss_mask: 0.4504, decode.d2.loss_dice: 0.6903, decode.d3.loss_cls: 0.1960, decode.d3.loss_mask: 0.4498, decode.d3.loss_dice: 0.6791, decode.d4.loss_cls: 0.1903, decode.d4.loss_mask: 0.4454, decode.d4.loss_dice: 0.6788, decode.d5.loss_cls: 0.1869, decode.d5.loss_mask: 0.4454, decode.d5.loss_dice: 0.6778, decode.d6.loss_cls: 0.1818, decode.d6.loss_mask: 0.4469, decode.d6.loss_dice: 0.6824, decode.d7.loss_cls: 0.1754, decode.d7.loss_mask: 0.4460, decode.d7.loss_dice: 0.6794, decode.d8.loss_cls: 0.1816, decode.d8.loss_mask: 0.4459, decode.d8.loss_dice: 0.6771, loss: 14.3131, grad_norm: 43.9018 2023-11-12 12:43:44,435 - mmseg - INFO - Iter [100150/160000] lr: 3.741e-05, eta: 8:21:02, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1836, decode.loss_mask: 0.4459, decode.loss_dice: 0.6605, decode.d0.loss_cls: 1.1539, decode.d0.loss_mask: 0.4795, decode.d0.loss_dice: 0.7216, decode.d1.loss_cls: 0.2589, decode.d1.loss_mask: 0.4578, decode.d1.loss_dice: 0.6923, decode.d2.loss_cls: 0.2159, decode.d2.loss_mask: 0.4533, decode.d2.loss_dice: 0.6762, decode.d3.loss_cls: 0.2066, decode.d3.loss_mask: 0.4462, decode.d3.loss_dice: 0.6650, decode.d4.loss_cls: 0.1964, decode.d4.loss_mask: 0.4455, decode.d4.loss_dice: 0.6669, decode.d5.loss_cls: 0.1896, decode.d5.loss_mask: 0.4449, decode.d5.loss_dice: 0.6636, decode.d6.loss_cls: 0.1900, decode.d6.loss_mask: 0.4455, decode.d6.loss_dice: 0.6584, decode.d7.loss_cls: 0.1870, decode.d7.loss_mask: 0.4452, decode.d7.loss_dice: 0.6612, decode.d8.loss_cls: 0.1868, decode.d8.loss_mask: 0.4461, decode.d8.loss_dice: 0.6605, loss: 14.2047, grad_norm: 51.6025 2023-11-12 12:44:08,491 - mmseg - INFO - Iter [100200/160000] lr: 3.738e-05, eta: 8:20:36, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1822, decode.loss_mask: 0.4393, decode.loss_dice: 0.6674, decode.d0.loss_cls: 1.1493, decode.d0.loss_mask: 0.4718, decode.d0.loss_dice: 0.7202, decode.d1.loss_cls: 0.2438, decode.d1.loss_mask: 0.4535, decode.d1.loss_dice: 0.7030, decode.d2.loss_cls: 0.2164, decode.d2.loss_mask: 0.4467, decode.d2.loss_dice: 0.6853, decode.d3.loss_cls: 0.1993, decode.d3.loss_mask: 0.4415, decode.d3.loss_dice: 0.6733, decode.d4.loss_cls: 0.1930, decode.d4.loss_mask: 0.4399, decode.d4.loss_dice: 0.6732, decode.d5.loss_cls: 0.1914, decode.d5.loss_mask: 0.4395, decode.d5.loss_dice: 0.6719, decode.d6.loss_cls: 0.1862, decode.d6.loss_mask: 0.4421, decode.d6.loss_dice: 0.6706, decode.d7.loss_cls: 0.1843, decode.d7.loss_mask: 0.4399, decode.d7.loss_dice: 0.6653, decode.d8.loss_cls: 0.1824, decode.d8.loss_mask: 0.4406, decode.d8.loss_dice: 0.6686, loss: 14.1817, grad_norm: 48.7522 2023-11-12 12:44:32,231 - mmseg - INFO - Iter [100250/160000] lr: 3.734e-05, eta: 8:20:10, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1928, decode.loss_mask: 0.4576, decode.loss_dice: 0.6877, decode.d0.loss_cls: 1.1707, decode.d0.loss_mask: 0.4927, decode.d0.loss_dice: 0.7462, decode.d1.loss_cls: 0.2610, decode.d1.loss_mask: 0.4733, decode.d1.loss_dice: 0.7253, decode.d2.loss_cls: 0.2246, decode.d2.loss_mask: 0.4656, decode.d2.loss_dice: 0.6999, decode.d3.loss_cls: 0.2082, decode.d3.loss_mask: 0.4590, decode.d3.loss_dice: 0.6898, decode.d4.loss_cls: 0.2019, decode.d4.loss_mask: 0.4586, decode.d4.loss_dice: 0.6884, decode.d5.loss_cls: 0.1960, decode.d5.loss_mask: 0.4570, decode.d5.loss_dice: 0.6906, decode.d6.loss_cls: 0.1984, decode.d6.loss_mask: 0.4580, decode.d6.loss_dice: 0.6838, decode.d7.loss_cls: 0.1962, decode.d7.loss_mask: 0.4565, decode.d7.loss_dice: 0.6812, decode.d8.loss_cls: 0.1925, decode.d8.loss_mask: 0.4558, decode.d8.loss_dice: 0.6820, loss: 14.6516, grad_norm: 49.0786 2023-11-12 12:44:55,980 - mmseg - INFO - Iter [100300/160000] lr: 3.731e-05, eta: 8:19:44, time: 0.475, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1923, decode.loss_mask: 0.4615, decode.loss_dice: 0.6899, decode.d0.loss_cls: 1.1624, decode.d0.loss_mask: 0.4883, decode.d0.loss_dice: 0.7463, decode.d1.loss_cls: 0.2555, decode.d1.loss_mask: 0.4769, decode.d1.loss_dice: 0.7169, decode.d2.loss_cls: 0.2238, decode.d2.loss_mask: 0.4687, decode.d2.loss_dice: 0.7097, decode.d3.loss_cls: 0.2075, decode.d3.loss_mask: 0.4661, decode.d3.loss_dice: 0.6951, decode.d4.loss_cls: 0.2028, decode.d4.loss_mask: 0.4661, decode.d4.loss_dice: 0.6936, decode.d5.loss_cls: 0.1993, decode.d5.loss_mask: 0.4631, decode.d5.loss_dice: 0.6863, decode.d6.loss_cls: 0.1952, decode.d6.loss_mask: 0.4625, decode.d6.loss_dice: 0.6865, decode.d7.loss_cls: 0.1924, decode.d7.loss_mask: 0.4624, decode.d7.loss_dice: 0.6925, decode.d8.loss_cls: 0.1949, decode.d8.loss_mask: 0.4626, decode.d8.loss_dice: 0.6935, loss: 14.7146, grad_norm: 46.3661 2023-11-12 12:45:19,865 - mmseg - INFO - Iter [100350/160000] lr: 3.728e-05, eta: 8:19:19, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1875, decode.loss_mask: 0.4431, decode.loss_dice: 0.6815, decode.d0.loss_cls: 1.1798, decode.d0.loss_mask: 0.4804, decode.d0.loss_dice: 0.7392, decode.d1.loss_cls: 0.2487, decode.d1.loss_mask: 0.4583, decode.d1.loss_dice: 0.7159, decode.d2.loss_cls: 0.2172, decode.d2.loss_mask: 0.4492, decode.d2.loss_dice: 0.7058, decode.d3.loss_cls: 0.2109, decode.d3.loss_mask: 0.4449, decode.d3.loss_dice: 0.6874, decode.d4.loss_cls: 0.1958, decode.d4.loss_mask: 0.4455, decode.d4.loss_dice: 0.6889, decode.d5.loss_cls: 0.1915, decode.d5.loss_mask: 0.4443, decode.d5.loss_dice: 0.6904, decode.d6.loss_cls: 0.1878, decode.d6.loss_mask: 0.4451, decode.d6.loss_dice: 0.6895, decode.d7.loss_cls: 0.1900, decode.d7.loss_mask: 0.4432, decode.d7.loss_dice: 0.6857, decode.d8.loss_cls: 0.1849, decode.d8.loss_mask: 0.4423, decode.d8.loss_dice: 0.6848, loss: 14.4594, grad_norm: 46.4667 2023-11-12 12:45:44,062 - mmseg - INFO - Iter [100400/160000] lr: 3.725e-05, eta: 8:18:53, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2008, decode.loss_mask: 0.4503, decode.loss_dice: 0.6946, decode.d0.loss_cls: 1.1616, decode.d0.loss_mask: 0.4840, decode.d0.loss_dice: 0.7646, decode.d1.loss_cls: 0.2743, decode.d1.loss_mask: 0.4658, decode.d1.loss_dice: 0.7296, decode.d2.loss_cls: 0.2357, decode.d2.loss_mask: 0.4579, decode.d2.loss_dice: 0.7116, decode.d3.loss_cls: 0.2173, decode.d3.loss_mask: 0.4548, decode.d3.loss_dice: 0.7049, decode.d4.loss_cls: 0.2088, decode.d4.loss_mask: 0.4522, decode.d4.loss_dice: 0.7022, decode.d5.loss_cls: 0.2108, decode.d5.loss_mask: 0.4523, decode.d5.loss_dice: 0.6975, decode.d6.loss_cls: 0.2050, decode.d6.loss_mask: 0.4496, decode.d6.loss_dice: 0.6962, decode.d7.loss_cls: 0.2047, decode.d7.loss_mask: 0.4489, decode.d7.loss_dice: 0.6955, decode.d8.loss_cls: 0.2003, decode.d8.loss_mask: 0.4513, decode.d8.loss_dice: 0.6969, loss: 14.7800, grad_norm: 47.4953 2023-11-12 12:46:07,760 - mmseg - INFO - Iter [100450/160000] lr: 3.722e-05, eta: 8:18:27, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1821, decode.loss_mask: 0.4682, decode.loss_dice: 0.7007, decode.d0.loss_cls: 1.1522, decode.d0.loss_mask: 0.5043, decode.d0.loss_dice: 0.7610, decode.d1.loss_cls: 0.2437, decode.d1.loss_mask: 0.4853, decode.d1.loss_dice: 0.7397, decode.d2.loss_cls: 0.2146, decode.d2.loss_mask: 0.4716, decode.d2.loss_dice: 0.7155, decode.d3.loss_cls: 0.1997, decode.d3.loss_mask: 0.4682, decode.d3.loss_dice: 0.7053, decode.d4.loss_cls: 0.1940, decode.d4.loss_mask: 0.4689, decode.d4.loss_dice: 0.7060, decode.d5.loss_cls: 0.1888, decode.d5.loss_mask: 0.4665, decode.d5.loss_dice: 0.7014, decode.d6.loss_cls: 0.1891, decode.d6.loss_mask: 0.4658, decode.d6.loss_dice: 0.6996, decode.d7.loss_cls: 0.1871, decode.d7.loss_mask: 0.4661, decode.d7.loss_dice: 0.6984, decode.d8.loss_cls: 0.1820, decode.d8.loss_mask: 0.4660, decode.d8.loss_dice: 0.6970, loss: 14.7890, grad_norm: 47.0475 2023-11-12 12:46:31,523 - mmseg - INFO - Iter [100500/160000] lr: 3.719e-05, eta: 8:18:01, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1826, decode.loss_mask: 0.4513, decode.loss_dice: 0.6864, decode.d0.loss_cls: 1.1947, decode.d0.loss_mask: 0.4813, decode.d0.loss_dice: 0.7319, decode.d1.loss_cls: 0.2530, decode.d1.loss_mask: 0.4670, decode.d1.loss_dice: 0.7139, decode.d2.loss_cls: 0.2137, decode.d2.loss_mask: 0.4606, decode.d2.loss_dice: 0.6987, decode.d3.loss_cls: 0.2027, decode.d3.loss_mask: 0.4550, decode.d3.loss_dice: 0.6865, decode.d4.loss_cls: 0.1910, decode.d4.loss_mask: 0.4541, decode.d4.loss_dice: 0.6832, decode.d5.loss_cls: 0.1902, decode.d5.loss_mask: 0.4526, decode.d5.loss_dice: 0.6838, decode.d6.loss_cls: 0.1881, decode.d6.loss_mask: 0.4519, decode.d6.loss_dice: 0.6803, decode.d7.loss_cls: 0.1848, decode.d7.loss_mask: 0.4517, decode.d7.loss_dice: 0.6827, decode.d8.loss_cls: 0.1846, decode.d8.loss_mask: 0.4514, decode.d8.loss_dice: 0.6790, loss: 14.4887, grad_norm: 45.8760 2023-11-12 12:46:55,193 - mmseg - INFO - Iter [100550/160000] lr: 3.716e-05, eta: 8:17:35, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2012, decode.loss_mask: 0.4425, decode.loss_dice: 0.6816, decode.d0.loss_cls: 1.1706, decode.d0.loss_mask: 0.4775, decode.d0.loss_dice: 0.7442, decode.d1.loss_cls: 0.2637, decode.d1.loss_mask: 0.4575, decode.d1.loss_dice: 0.7200, decode.d2.loss_cls: 0.2300, decode.d2.loss_mask: 0.4488, decode.d2.loss_dice: 0.6990, decode.d3.loss_cls: 0.2198, decode.d3.loss_mask: 0.4456, decode.d3.loss_dice: 0.6869, decode.d4.loss_cls: 0.2145, decode.d4.loss_mask: 0.4449, decode.d4.loss_dice: 0.6826, decode.d5.loss_cls: 0.2067, decode.d5.loss_mask: 0.4431, decode.d5.loss_dice: 0.6887, decode.d6.loss_cls: 0.2093, decode.d6.loss_mask: 0.4427, decode.d6.loss_dice: 0.6831, decode.d7.loss_cls: 0.2043, decode.d7.loss_mask: 0.4433, decode.d7.loss_dice: 0.6862, decode.d8.loss_cls: 0.2014, decode.d8.loss_mask: 0.4424, decode.d8.loss_dice: 0.6836, loss: 14.5655, grad_norm: 46.3809 2023-11-12 12:47:19,156 - mmseg - INFO - Iter [100600/160000] lr: 3.713e-05, eta: 8:17:09, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1922, decode.loss_mask: 0.4500, decode.loss_dice: 0.6805, decode.d0.loss_cls: 1.1688, decode.d0.loss_mask: 0.4882, decode.d0.loss_dice: 0.7288, decode.d1.loss_cls: 0.2500, decode.d1.loss_mask: 0.4641, decode.d1.loss_dice: 0.7078, decode.d2.loss_cls: 0.2220, decode.d2.loss_mask: 0.4605, decode.d2.loss_dice: 0.6883, decode.d3.loss_cls: 0.2085, decode.d3.loss_mask: 0.4558, decode.d3.loss_dice: 0.6785, decode.d4.loss_cls: 0.2043, decode.d4.loss_mask: 0.4516, decode.d4.loss_dice: 0.6797, decode.d5.loss_cls: 0.1928, decode.d5.loss_mask: 0.4511, decode.d5.loss_dice: 0.6785, decode.d6.loss_cls: 0.1939, decode.d6.loss_mask: 0.4494, decode.d6.loss_dice: 0.6764, decode.d7.loss_cls: 0.1916, decode.d7.loss_mask: 0.4497, decode.d7.loss_dice: 0.6785, decode.d8.loss_cls: 0.1905, decode.d8.loss_mask: 0.4503, decode.d8.loss_dice: 0.6784, loss: 14.4609, grad_norm: 49.0920 2023-11-12 12:47:42,740 - mmseg - INFO - Iter [100650/160000] lr: 3.709e-05, eta: 8:16:43, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1842, decode.loss_mask: 0.4395, decode.loss_dice: 0.6716, decode.d0.loss_cls: 1.1660, decode.d0.loss_mask: 0.4757, decode.d0.loss_dice: 0.7279, decode.d1.loss_cls: 0.2640, decode.d1.loss_mask: 0.4544, decode.d1.loss_dice: 0.7041, decode.d2.loss_cls: 0.2198, decode.d2.loss_mask: 0.4484, decode.d2.loss_dice: 0.6922, decode.d3.loss_cls: 0.2040, decode.d3.loss_mask: 0.4427, decode.d3.loss_dice: 0.6772, decode.d4.loss_cls: 0.1970, decode.d4.loss_mask: 0.4409, decode.d4.loss_dice: 0.6788, decode.d5.loss_cls: 0.1880, decode.d5.loss_mask: 0.4404, decode.d5.loss_dice: 0.6758, decode.d6.loss_cls: 0.1913, decode.d6.loss_mask: 0.4423, decode.d6.loss_dice: 0.6719, decode.d7.loss_cls: 0.1846, decode.d7.loss_mask: 0.4417, decode.d7.loss_dice: 0.6694, decode.d8.loss_cls: 0.1809, decode.d8.loss_mask: 0.4402, decode.d8.loss_dice: 0.6701, loss: 14.2851, grad_norm: 43.8175 2023-11-12 12:48:06,697 - mmseg - INFO - Iter [100700/160000] lr: 3.706e-05, eta: 8:16:17, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1952, decode.loss_mask: 0.4249, decode.loss_dice: 0.6592, decode.d0.loss_cls: 1.1698, decode.d0.loss_mask: 0.4578, decode.d0.loss_dice: 0.7262, decode.d1.loss_cls: 0.2614, decode.d1.loss_mask: 0.4386, decode.d1.loss_dice: 0.6927, decode.d2.loss_cls: 0.2203, decode.d2.loss_mask: 0.4307, decode.d2.loss_dice: 0.6739, decode.d3.loss_cls: 0.2077, decode.d3.loss_mask: 0.4266, decode.d3.loss_dice: 0.6634, decode.d4.loss_cls: 0.2062, decode.d4.loss_mask: 0.4262, decode.d4.loss_dice: 0.6660, decode.d5.loss_cls: 0.2050, decode.d5.loss_mask: 0.4260, decode.d5.loss_dice: 0.6646, decode.d6.loss_cls: 0.1961, decode.d6.loss_mask: 0.4257, decode.d6.loss_dice: 0.6587, decode.d7.loss_cls: 0.2006, decode.d7.loss_mask: 0.4242, decode.d7.loss_dice: 0.6557, decode.d8.loss_cls: 0.1981, decode.d8.loss_mask: 0.4262, decode.d8.loss_dice: 0.6645, loss: 14.0926, grad_norm: 45.0867 2023-11-12 12:48:30,436 - mmseg - INFO - Iter [100750/160000] lr: 3.703e-05, eta: 8:15:52, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1933, decode.loss_mask: 0.4512, decode.loss_dice: 0.6953, decode.d0.loss_cls: 1.1745, decode.d0.loss_mask: 0.4842, decode.d0.loss_dice: 0.7594, decode.d1.loss_cls: 0.2637, decode.d1.loss_mask: 0.4633, decode.d1.loss_dice: 0.7290, decode.d2.loss_cls: 0.2271, decode.d2.loss_mask: 0.4571, decode.d2.loss_dice: 0.7109, decode.d3.loss_cls: 0.2163, decode.d3.loss_mask: 0.4548, decode.d3.loss_dice: 0.7008, decode.d4.loss_cls: 0.2087, decode.d4.loss_mask: 0.4527, decode.d4.loss_dice: 0.6981, decode.d5.loss_cls: 0.2025, decode.d5.loss_mask: 0.4521, decode.d5.loss_dice: 0.6992, decode.d6.loss_cls: 0.1993, decode.d6.loss_mask: 0.4526, decode.d6.loss_dice: 0.6988, decode.d7.loss_cls: 0.1970, decode.d7.loss_mask: 0.4519, decode.d7.loss_dice: 0.6983, decode.d8.loss_cls: 0.1930, decode.d8.loss_mask: 0.4517, decode.d8.loss_dice: 0.6994, loss: 14.7359, grad_norm: 48.1981 2023-11-12 12:48:54,366 - mmseg - INFO - Iter [100800/160000] lr: 3.700e-05, eta: 8:15:26, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1902, decode.loss_mask: 0.4455, decode.loss_dice: 0.6671, decode.d0.loss_cls: 1.1418, decode.d0.loss_mask: 0.4765, decode.d0.loss_dice: 0.7205, decode.d1.loss_cls: 0.2620, decode.d1.loss_mask: 0.4585, decode.d1.loss_dice: 0.6898, decode.d2.loss_cls: 0.2269, decode.d2.loss_mask: 0.4497, decode.d2.loss_dice: 0.6760, decode.d3.loss_cls: 0.2130, decode.d3.loss_mask: 0.4466, decode.d3.loss_dice: 0.6709, decode.d4.loss_cls: 0.2061, decode.d4.loss_mask: 0.4438, decode.d4.loss_dice: 0.6668, decode.d5.loss_cls: 0.2012, decode.d5.loss_mask: 0.4435, decode.d5.loss_dice: 0.6665, decode.d6.loss_cls: 0.1953, decode.d6.loss_mask: 0.4437, decode.d6.loss_dice: 0.6639, decode.d7.loss_cls: 0.1929, decode.d7.loss_mask: 0.4434, decode.d7.loss_dice: 0.6632, decode.d8.loss_cls: 0.1902, decode.d8.loss_mask: 0.4442, decode.d8.loss_dice: 0.6658, loss: 14.2655, grad_norm: 45.6340 2023-11-12 12:49:18,025 - mmseg - INFO - Iter [100850/160000] lr: 3.697e-05, eta: 8:15:00, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1948, decode.loss_mask: 0.4482, decode.loss_dice: 0.6759, decode.d0.loss_cls: 1.1588, decode.d0.loss_mask: 0.4836, decode.d0.loss_dice: 0.7395, decode.d1.loss_cls: 0.2667, decode.d1.loss_mask: 0.4630, decode.d1.loss_dice: 0.7093, decode.d2.loss_cls: 0.2350, decode.d2.loss_mask: 0.4524, decode.d2.loss_dice: 0.6925, decode.d3.loss_cls: 0.2165, decode.d3.loss_mask: 0.4499, decode.d3.loss_dice: 0.6801, decode.d4.loss_cls: 0.2069, decode.d4.loss_mask: 0.4490, decode.d4.loss_dice: 0.6772, decode.d5.loss_cls: 0.2008, decode.d5.loss_mask: 0.4499, decode.d5.loss_dice: 0.6818, decode.d6.loss_cls: 0.2022, decode.d6.loss_mask: 0.4483, decode.d6.loss_dice: 0.6774, decode.d7.loss_cls: 0.1935, decode.d7.loss_mask: 0.4472, decode.d7.loss_dice: 0.6780, decode.d8.loss_cls: 0.1990, decode.d8.loss_mask: 0.4480, decode.d8.loss_dice: 0.6775, loss: 14.5027, grad_norm: 47.1908 2023-11-12 12:49:41,919 - mmseg - INFO - Iter [100900/160000] lr: 3.694e-05, eta: 8:14:34, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2191, decode.loss_mask: 0.4395, decode.loss_dice: 0.7000, decode.d0.loss_cls: 1.2113, decode.d0.loss_mask: 0.4748, decode.d0.loss_dice: 0.7645, decode.d1.loss_cls: 0.2755, decode.d1.loss_mask: 0.4578, decode.d1.loss_dice: 0.7362, decode.d2.loss_cls: 0.2468, decode.d2.loss_mask: 0.4505, decode.d2.loss_dice: 0.7159, decode.d3.loss_cls: 0.2371, decode.d3.loss_mask: 0.4455, decode.d3.loss_dice: 0.7053, decode.d4.loss_cls: 0.2315, decode.d4.loss_mask: 0.4439, decode.d4.loss_dice: 0.7075, decode.d5.loss_cls: 0.2243, decode.d5.loss_mask: 0.4443, decode.d5.loss_dice: 0.7068, decode.d6.loss_cls: 0.2236, decode.d6.loss_mask: 0.4409, decode.d6.loss_dice: 0.7011, decode.d7.loss_cls: 0.2204, decode.d7.loss_mask: 0.4407, decode.d7.loss_dice: 0.7004, decode.d8.loss_cls: 0.2181, decode.d8.loss_mask: 0.4396, decode.d8.loss_dice: 0.7035, loss: 14.9264, grad_norm: 47.4631 2023-11-12 12:50:05,693 - mmseg - INFO - Iter [100950/160000] lr: 3.691e-05, eta: 8:14:08, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1942, decode.loss_mask: 0.4522, decode.loss_dice: 0.6957, decode.d0.loss_cls: 1.1608, decode.d0.loss_mask: 0.4880, decode.d0.loss_dice: 0.7462, decode.d1.loss_cls: 0.2463, decode.d1.loss_mask: 0.4662, decode.d1.loss_dice: 0.7241, decode.d2.loss_cls: 0.2257, decode.d2.loss_mask: 0.4586, decode.d2.loss_dice: 0.7047, decode.d3.loss_cls: 0.2060, decode.d3.loss_mask: 0.4559, decode.d3.loss_dice: 0.6988, decode.d4.loss_cls: 0.2063, decode.d4.loss_mask: 0.4546, decode.d4.loss_dice: 0.6968, decode.d5.loss_cls: 0.1974, decode.d5.loss_mask: 0.4533, decode.d5.loss_dice: 0.6958, decode.d6.loss_cls: 0.1969, decode.d6.loss_mask: 0.4540, decode.d6.loss_dice: 0.6914, decode.d7.loss_cls: 0.1970, decode.d7.loss_mask: 0.4525, decode.d7.loss_dice: 0.6929, decode.d8.loss_cls: 0.1914, decode.d8.loss_mask: 0.4526, decode.d8.loss_dice: 0.6937, loss: 14.6499, grad_norm: 47.0835 2023-11-12 12:50:29,682 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 12:50:29,683 - mmseg - INFO - Iter [101000/160000] lr: 3.688e-05, eta: 8:13:42, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1753, decode.loss_mask: 0.4419, decode.loss_dice: 0.6590, decode.d0.loss_cls: 1.1603, decode.d0.loss_mask: 0.4803, decode.d0.loss_dice: 0.7219, decode.d1.loss_cls: 0.2406, decode.d1.loss_mask: 0.4594, decode.d1.loss_dice: 0.6969, decode.d2.loss_cls: 0.2061, decode.d2.loss_mask: 0.4479, decode.d2.loss_dice: 0.6752, decode.d3.loss_cls: 0.1933, decode.d3.loss_mask: 0.4453, decode.d3.loss_dice: 0.6601, decode.d4.loss_cls: 0.1835, decode.d4.loss_mask: 0.4456, decode.d4.loss_dice: 0.6644, decode.d5.loss_cls: 0.1834, decode.d5.loss_mask: 0.4447, decode.d5.loss_dice: 0.6641, decode.d6.loss_cls: 0.1811, decode.d6.loss_mask: 0.4449, decode.d6.loss_dice: 0.6620, decode.d7.loss_cls: 0.1792, decode.d7.loss_mask: 0.4434, decode.d7.loss_dice: 0.6593, decode.d8.loss_cls: 0.1792, decode.d8.loss_mask: 0.4434, decode.d8.loss_dice: 0.6596, loss: 14.1012, grad_norm: 46.4365 2023-11-12 12:50:55,838 - mmseg - INFO - Iter [101050/160000] lr: 3.684e-05, eta: 8:13:18, time: 0.523, data_time: 0.057, memory: 41146, decode.loss_cls: 0.1894, decode.loss_mask: 0.4630, decode.loss_dice: 0.6892, decode.d0.loss_cls: 1.1463, decode.d0.loss_mask: 0.4977, decode.d0.loss_dice: 0.7480, decode.d1.loss_cls: 0.2431, decode.d1.loss_mask: 0.4782, decode.d1.loss_dice: 0.7285, decode.d2.loss_cls: 0.2171, decode.d2.loss_mask: 0.4719, decode.d2.loss_dice: 0.7084, decode.d3.loss_cls: 0.2016, decode.d3.loss_mask: 0.4684, decode.d3.loss_dice: 0.6948, decode.d4.loss_cls: 0.1966, decode.d4.loss_mask: 0.4655, decode.d4.loss_dice: 0.6979, decode.d5.loss_cls: 0.1982, decode.d5.loss_mask: 0.4642, decode.d5.loss_dice: 0.6923, decode.d6.loss_cls: 0.1994, decode.d6.loss_mask: 0.4633, decode.d6.loss_dice: 0.6884, decode.d7.loss_cls: 0.1885, decode.d7.loss_mask: 0.4630, decode.d7.loss_dice: 0.6947, decode.d8.loss_cls: 0.1897, decode.d8.loss_mask: 0.4640, decode.d8.loss_dice: 0.6905, loss: 14.7020, grad_norm: 46.9074 2023-11-12 12:51:19,670 - mmseg - INFO - Iter [101100/160000] lr: 3.681e-05, eta: 8:12:52, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1771, decode.loss_mask: 0.4332, decode.loss_dice: 0.6586, decode.d0.loss_cls: 1.1472, decode.d0.loss_mask: 0.4682, decode.d0.loss_dice: 0.7245, decode.d1.loss_cls: 0.2453, decode.d1.loss_mask: 0.4466, decode.d1.loss_dice: 0.6947, decode.d2.loss_cls: 0.2049, decode.d2.loss_mask: 0.4396, decode.d2.loss_dice: 0.6797, decode.d3.loss_cls: 0.1927, decode.d3.loss_mask: 0.4333, decode.d3.loss_dice: 0.6646, decode.d4.loss_cls: 0.1846, decode.d4.loss_mask: 0.4333, decode.d4.loss_dice: 0.6645, decode.d5.loss_cls: 0.1796, decode.d5.loss_mask: 0.4337, decode.d5.loss_dice: 0.6676, decode.d6.loss_cls: 0.1782, decode.d6.loss_mask: 0.4336, decode.d6.loss_dice: 0.6580, decode.d7.loss_cls: 0.1741, decode.d7.loss_mask: 0.4321, decode.d7.loss_dice: 0.6626, decode.d8.loss_cls: 0.1729, decode.d8.loss_mask: 0.4334, decode.d8.loss_dice: 0.6619, loss: 13.9801, grad_norm: 43.9331 2023-11-12 12:51:43,404 - mmseg - INFO - Iter [101150/160000] lr: 3.678e-05, eta: 8:12:26, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1958, decode.loss_mask: 0.4414, decode.loss_dice: 0.6796, decode.d0.loss_cls: 1.1628, decode.d0.loss_mask: 0.4719, decode.d0.loss_dice: 0.7446, decode.d1.loss_cls: 0.2603, decode.d1.loss_mask: 0.4528, decode.d1.loss_dice: 0.7110, decode.d2.loss_cls: 0.2211, decode.d2.loss_mask: 0.4487, decode.d2.loss_dice: 0.7011, decode.d3.loss_cls: 0.2107, decode.d3.loss_mask: 0.4426, decode.d3.loss_dice: 0.6877, decode.d4.loss_cls: 0.2077, decode.d4.loss_mask: 0.4426, decode.d4.loss_dice: 0.6833, decode.d5.loss_cls: 0.2014, decode.d5.loss_mask: 0.4404, decode.d5.loss_dice: 0.6884, decode.d6.loss_cls: 0.2020, decode.d6.loss_mask: 0.4383, decode.d6.loss_dice: 0.6814, decode.d7.loss_cls: 0.2024, decode.d7.loss_mask: 0.4394, decode.d7.loss_dice: 0.6815, decode.d8.loss_cls: 0.1935, decode.d8.loss_mask: 0.4400, decode.d8.loss_dice: 0.6826, loss: 14.4570, grad_norm: 42.8268 2023-11-12 12:52:07,386 - mmseg - INFO - Iter [101200/160000] lr: 3.675e-05, eta: 8:12:00, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2037, decode.loss_mask: 0.4459, decode.loss_dice: 0.6853, decode.d0.loss_cls: 1.1884, decode.d0.loss_mask: 0.4798, decode.d0.loss_dice: 0.7577, decode.d1.loss_cls: 0.2643, decode.d1.loss_mask: 0.4603, decode.d1.loss_dice: 0.7205, decode.d2.loss_cls: 0.2310, decode.d2.loss_mask: 0.4523, decode.d2.loss_dice: 0.7035, decode.d3.loss_cls: 0.2216, decode.d3.loss_mask: 0.4487, decode.d3.loss_dice: 0.6930, decode.d4.loss_cls: 0.2168, decode.d4.loss_mask: 0.4486, decode.d4.loss_dice: 0.6859, decode.d5.loss_cls: 0.2057, decode.d5.loss_mask: 0.4472, decode.d5.loss_dice: 0.6879, decode.d6.loss_cls: 0.2064, decode.d6.loss_mask: 0.4468, decode.d6.loss_dice: 0.6837, decode.d7.loss_cls: 0.2020, decode.d7.loss_mask: 0.4469, decode.d7.loss_dice: 0.6844, decode.d8.loss_cls: 0.1988, decode.d8.loss_mask: 0.4457, decode.d8.loss_dice: 0.6839, loss: 14.6468, grad_norm: 46.2296 2023-11-12 12:52:31,138 - mmseg - INFO - Iter [101250/160000] lr: 3.672e-05, eta: 8:11:34, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1927, decode.loss_mask: 0.4496, decode.loss_dice: 0.6729, decode.d0.loss_cls: 1.1843, decode.d0.loss_mask: 0.4872, decode.d0.loss_dice: 0.7402, decode.d1.loss_cls: 0.2631, decode.d1.loss_mask: 0.4646, decode.d1.loss_dice: 0.7092, decode.d2.loss_cls: 0.2274, decode.d2.loss_mask: 0.4568, decode.d2.loss_dice: 0.6946, decode.d3.loss_cls: 0.2184, decode.d3.loss_mask: 0.4523, decode.d3.loss_dice: 0.6808, decode.d4.loss_cls: 0.2064, decode.d4.loss_mask: 0.4515, decode.d4.loss_dice: 0.6840, decode.d5.loss_cls: 0.1991, decode.d5.loss_mask: 0.4507, decode.d5.loss_dice: 0.6816, decode.d6.loss_cls: 0.2006, decode.d6.loss_mask: 0.4506, decode.d6.loss_dice: 0.6762, decode.d7.loss_cls: 0.1934, decode.d7.loss_mask: 0.4500, decode.d7.loss_dice: 0.6757, decode.d8.loss_cls: 0.1895, decode.d8.loss_mask: 0.4506, decode.d8.loss_dice: 0.6754, loss: 14.5295, grad_norm: 47.7339 2023-11-12 12:52:55,029 - mmseg - INFO - Iter [101300/160000] lr: 3.669e-05, eta: 8:11:09, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1757, decode.loss_mask: 0.4343, decode.loss_dice: 0.6598, decode.d0.loss_cls: 1.1560, decode.d0.loss_mask: 0.4658, decode.d0.loss_dice: 0.7140, decode.d1.loss_cls: 0.2464, decode.d1.loss_mask: 0.4494, decode.d1.loss_dice: 0.6889, decode.d2.loss_cls: 0.2161, decode.d2.loss_mask: 0.4411, decode.d2.loss_dice: 0.6740, decode.d3.loss_cls: 0.1959, decode.d3.loss_mask: 0.4374, decode.d3.loss_dice: 0.6619, decode.d4.loss_cls: 0.1873, decode.d4.loss_mask: 0.4359, decode.d4.loss_dice: 0.6622, decode.d5.loss_cls: 0.1807, decode.d5.loss_mask: 0.4354, decode.d5.loss_dice: 0.6658, decode.d6.loss_cls: 0.1783, decode.d6.loss_mask: 0.4359, decode.d6.loss_dice: 0.6615, decode.d7.loss_cls: 0.1779, decode.d7.loss_mask: 0.4357, decode.d7.loss_dice: 0.6622, decode.d8.loss_cls: 0.1759, decode.d8.loss_mask: 0.4340, decode.d8.loss_dice: 0.6589, loss: 14.0044, grad_norm: 43.6121 2023-11-12 12:53:18,756 - mmseg - INFO - Iter [101350/160000] lr: 3.666e-05, eta: 8:10:43, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1871, decode.loss_mask: 0.4524, decode.loss_dice: 0.6715, decode.d0.loss_cls: 1.1131, decode.d0.loss_mask: 0.4890, decode.d0.loss_dice: 0.7296, decode.d1.loss_cls: 0.2420, decode.d1.loss_mask: 0.4676, decode.d1.loss_dice: 0.7029, decode.d2.loss_cls: 0.2125, decode.d2.loss_mask: 0.4633, decode.d2.loss_dice: 0.6893, decode.d3.loss_cls: 0.2009, decode.d3.loss_mask: 0.4577, decode.d3.loss_dice: 0.6733, decode.d4.loss_cls: 0.1964, decode.d4.loss_mask: 0.4564, decode.d4.loss_dice: 0.6785, decode.d5.loss_cls: 0.1921, decode.d5.loss_mask: 0.4537, decode.d5.loss_dice: 0.6734, decode.d6.loss_cls: 0.1874, decode.d6.loss_mask: 0.4542, decode.d6.loss_dice: 0.6707, decode.d7.loss_cls: 0.1865, decode.d7.loss_mask: 0.4540, decode.d7.loss_dice: 0.6742, decode.d8.loss_cls: 0.1837, decode.d8.loss_mask: 0.4535, decode.d8.loss_dice: 0.6734, loss: 14.3403, grad_norm: 49.3652 2023-11-12 12:53:42,785 - mmseg - INFO - Iter [101400/160000] lr: 3.663e-05, eta: 8:10:17, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1867, decode.loss_mask: 0.4366, decode.loss_dice: 0.6598, decode.d0.loss_cls: 1.1464, decode.d0.loss_mask: 0.4664, decode.d0.loss_dice: 0.7190, decode.d1.loss_cls: 0.2457, decode.d1.loss_mask: 0.4476, decode.d1.loss_dice: 0.6925, decode.d2.loss_cls: 0.2164, decode.d2.loss_mask: 0.4411, decode.d2.loss_dice: 0.6762, decode.d3.loss_cls: 0.1980, decode.d3.loss_mask: 0.4371, decode.d3.loss_dice: 0.6641, decode.d4.loss_cls: 0.1883, decode.d4.loss_mask: 0.4380, decode.d4.loss_dice: 0.6639, decode.d5.loss_cls: 0.1881, decode.d5.loss_mask: 0.4359, decode.d5.loss_dice: 0.6603, decode.d6.loss_cls: 0.1865, decode.d6.loss_mask: 0.4363, decode.d6.loss_dice: 0.6580, decode.d7.loss_cls: 0.1857, decode.d7.loss_mask: 0.4365, decode.d7.loss_dice: 0.6603, decode.d8.loss_cls: 0.1834, decode.d8.loss_mask: 0.4367, decode.d8.loss_dice: 0.6638, loss: 14.0553, grad_norm: 44.4826 2023-11-12 12:54:06,697 - mmseg - INFO - Iter [101450/160000] lr: 3.659e-05, eta: 8:09:51, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2164, decode.loss_mask: 0.4412, decode.loss_dice: 0.7030, decode.d0.loss_cls: 1.2131, decode.d0.loss_mask: 0.4758, decode.d0.loss_dice: 0.7761, decode.d1.loss_cls: 0.2888, decode.d1.loss_mask: 0.4577, decode.d1.loss_dice: 0.7469, decode.d2.loss_cls: 0.2581, decode.d2.loss_mask: 0.4483, decode.d2.loss_dice: 0.7219, decode.d3.loss_cls: 0.2337, decode.d3.loss_mask: 0.4446, decode.d3.loss_dice: 0.7111, decode.d4.loss_cls: 0.2248, decode.d4.loss_mask: 0.4439, decode.d4.loss_dice: 0.7091, decode.d5.loss_cls: 0.2209, decode.d5.loss_mask: 0.4428, decode.d5.loss_dice: 0.7091, decode.d6.loss_cls: 0.2168, decode.d6.loss_mask: 0.4429, decode.d6.loss_dice: 0.7056, decode.d7.loss_cls: 0.2133, decode.d7.loss_mask: 0.4406, decode.d7.loss_dice: 0.7057, decode.d8.loss_cls: 0.2120, decode.d8.loss_mask: 0.4420, decode.d8.loss_dice: 0.7057, loss: 14.9720, grad_norm: 47.5066 2023-11-12 12:54:30,336 - mmseg - INFO - Iter [101500/160000] lr: 3.656e-05, eta: 8:09:25, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1883, decode.loss_mask: 0.4473, decode.loss_dice: 0.6701, decode.d0.loss_cls: 1.1636, decode.d0.loss_mask: 0.4791, decode.d0.loss_dice: 0.7270, decode.d1.loss_cls: 0.2575, decode.d1.loss_mask: 0.4611, decode.d1.loss_dice: 0.6960, decode.d2.loss_cls: 0.2155, decode.d2.loss_mask: 0.4527, decode.d2.loss_dice: 0.6866, decode.d3.loss_cls: 0.2032, decode.d3.loss_mask: 0.4486, decode.d3.loss_dice: 0.6731, decode.d4.loss_cls: 0.1990, decode.d4.loss_mask: 0.4492, decode.d4.loss_dice: 0.6729, decode.d5.loss_cls: 0.1931, decode.d5.loss_mask: 0.4491, decode.d5.loss_dice: 0.6728, decode.d6.loss_cls: 0.1945, decode.d6.loss_mask: 0.4473, decode.d6.loss_dice: 0.6703, decode.d7.loss_cls: 0.1869, decode.d7.loss_mask: 0.4478, decode.d7.loss_dice: 0.6714, decode.d8.loss_cls: 0.1864, decode.d8.loss_mask: 0.4475, decode.d8.loss_dice: 0.6746, loss: 14.3326, grad_norm: 43.5959 2023-11-12 12:54:54,205 - mmseg - INFO - Iter [101550/160000] lr: 3.653e-05, eta: 8:08:59, time: 0.477, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1995, decode.loss_mask: 0.4494, decode.loss_dice: 0.6938, decode.d0.loss_cls: 1.1784, decode.d0.loss_mask: 0.4820, decode.d0.loss_dice: 0.7639, decode.d1.loss_cls: 0.2693, decode.d1.loss_mask: 0.4646, decode.d1.loss_dice: 0.7365, decode.d2.loss_cls: 0.2266, decode.d2.loss_mask: 0.4579, decode.d2.loss_dice: 0.7182, decode.d3.loss_cls: 0.2162, decode.d3.loss_mask: 0.4522, decode.d3.loss_dice: 0.7028, decode.d4.loss_cls: 0.2118, decode.d4.loss_mask: 0.4508, decode.d4.loss_dice: 0.6967, decode.d5.loss_cls: 0.2051, decode.d5.loss_mask: 0.4505, decode.d5.loss_dice: 0.6986, decode.d6.loss_cls: 0.2067, decode.d6.loss_mask: 0.4488, decode.d6.loss_dice: 0.6936, decode.d7.loss_cls: 0.2010, decode.d7.loss_mask: 0.4499, decode.d7.loss_dice: 0.6974, decode.d8.loss_cls: 0.1986, decode.d8.loss_mask: 0.4509, decode.d8.loss_dice: 0.6977, loss: 14.7694, grad_norm: 46.0019 2023-11-12 12:55:18,124 - mmseg - INFO - Iter [101600/160000] lr: 3.650e-05, eta: 8:08:34, time: 0.478, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1918, decode.loss_mask: 0.4471, decode.loss_dice: 0.6798, decode.d0.loss_cls: 1.1787, decode.d0.loss_mask: 0.4780, decode.d0.loss_dice: 0.7394, decode.d1.loss_cls: 0.2498, decode.d1.loss_mask: 0.4596, decode.d1.loss_dice: 0.7238, decode.d2.loss_cls: 0.2248, decode.d2.loss_mask: 0.4524, decode.d2.loss_dice: 0.6981, decode.d3.loss_cls: 0.2096, decode.d3.loss_mask: 0.4491, decode.d3.loss_dice: 0.6871, decode.d4.loss_cls: 0.1961, decode.d4.loss_mask: 0.4500, decode.d4.loss_dice: 0.6823, decode.d5.loss_cls: 0.1945, decode.d5.loss_mask: 0.4477, decode.d5.loss_dice: 0.6867, decode.d6.loss_cls: 0.1915, decode.d6.loss_mask: 0.4468, decode.d6.loss_dice: 0.6812, decode.d7.loss_cls: 0.1865, decode.d7.loss_mask: 0.4482, decode.d7.loss_dice: 0.6853, decode.d8.loss_cls: 0.1876, decode.d8.loss_mask: 0.4468, decode.d8.loss_dice: 0.6810, loss: 14.4812, grad_norm: 49.1944 2023-11-12 12:55:42,297 - mmseg - INFO - Iter [101650/160000] lr: 3.647e-05, eta: 8:08:08, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1978, decode.loss_mask: 0.4545, decode.loss_dice: 0.6797, decode.d0.loss_cls: 1.1684, decode.d0.loss_mask: 0.4867, decode.d0.loss_dice: 0.7362, decode.d1.loss_cls: 0.2573, decode.d1.loss_mask: 0.4702, decode.d1.loss_dice: 0.7140, decode.d2.loss_cls: 0.2244, decode.d2.loss_mask: 0.4631, decode.d2.loss_dice: 0.6921, decode.d3.loss_cls: 0.2150, decode.d3.loss_mask: 0.4557, decode.d3.loss_dice: 0.6759, decode.d4.loss_cls: 0.2059, decode.d4.loss_mask: 0.4571, decode.d4.loss_dice: 0.6789, decode.d5.loss_cls: 0.1996, decode.d5.loss_mask: 0.4557, decode.d5.loss_dice: 0.6779, decode.d6.loss_cls: 0.1999, decode.d6.loss_mask: 0.4549, decode.d6.loss_dice: 0.6744, decode.d7.loss_cls: 0.1997, decode.d7.loss_mask: 0.4544, decode.d7.loss_dice: 0.6742, decode.d8.loss_cls: 0.1912, decode.d8.loss_mask: 0.4560, decode.d8.loss_dice: 0.6763, loss: 14.5473, grad_norm: 47.6858 2023-11-12 12:56:06,337 - mmseg - INFO - Iter [101700/160000] lr: 3.644e-05, eta: 8:07:42, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1823, decode.loss_mask: 0.4579, decode.loss_dice: 0.6804, decode.d0.loss_cls: 1.1599, decode.d0.loss_mask: 0.4912, decode.d0.loss_dice: 0.7413, decode.d1.loss_cls: 0.2414, decode.d1.loss_mask: 0.4750, decode.d1.loss_dice: 0.7160, decode.d2.loss_cls: 0.2082, decode.d2.loss_mask: 0.4642, decode.d2.loss_dice: 0.7002, decode.d3.loss_cls: 0.2007, decode.d3.loss_mask: 0.4624, decode.d3.loss_dice: 0.6842, decode.d4.loss_cls: 0.1907, decode.d4.loss_mask: 0.4584, decode.d4.loss_dice: 0.6824, decode.d5.loss_cls: 0.1868, decode.d5.loss_mask: 0.4590, decode.d5.loss_dice: 0.6836, decode.d6.loss_cls: 0.1886, decode.d6.loss_mask: 0.4577, decode.d6.loss_dice: 0.6798, decode.d7.loss_cls: 0.1863, decode.d7.loss_mask: 0.4586, decode.d7.loss_dice: 0.6829, decode.d8.loss_cls: 0.1830, decode.d8.loss_mask: 0.4574, decode.d8.loss_dice: 0.6835, loss: 14.5042, grad_norm: 47.0099 2023-11-12 12:56:29,928 - mmseg - INFO - Iter [101750/160000] lr: 3.641e-05, eta: 8:07:16, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1900, decode.loss_mask: 0.4832, decode.loss_dice: 0.7033, decode.d0.loss_cls: 1.1153, decode.d0.loss_mask: 0.5181, decode.d0.loss_dice: 0.7577, decode.d1.loss_cls: 0.2629, decode.d1.loss_mask: 0.5009, decode.d1.loss_dice: 0.7375, decode.d2.loss_cls: 0.2254, decode.d2.loss_mask: 0.4913, decode.d2.loss_dice: 0.7199, decode.d3.loss_cls: 0.2094, decode.d3.loss_mask: 0.4857, decode.d3.loss_dice: 0.7074, decode.d4.loss_cls: 0.2018, decode.d4.loss_mask: 0.4861, decode.d4.loss_dice: 0.7106, decode.d5.loss_cls: 0.2005, decode.d5.loss_mask: 0.4863, decode.d5.loss_dice: 0.7075, decode.d6.loss_cls: 0.1967, decode.d6.loss_mask: 0.4836, decode.d6.loss_dice: 0.7059, decode.d7.loss_cls: 0.1946, decode.d7.loss_mask: 0.4841, decode.d7.loss_dice: 0.7037, decode.d8.loss_cls: 0.1913, decode.d8.loss_mask: 0.4838, decode.d8.loss_dice: 0.7053, loss: 15.0498, grad_norm: 51.6177 2023-11-12 12:56:53,876 - mmseg - INFO - Iter [101800/160000] lr: 3.638e-05, eta: 8:06:51, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1993, decode.loss_mask: 0.4449, decode.loss_dice: 0.6883, decode.d0.loss_cls: 1.1768, decode.d0.loss_mask: 0.4755, decode.d0.loss_dice: 0.7517, decode.d1.loss_cls: 0.2682, decode.d1.loss_mask: 0.4592, decode.d1.loss_dice: 0.7251, decode.d2.loss_cls: 0.2256, decode.d2.loss_mask: 0.4537, decode.d2.loss_dice: 0.7116, decode.d3.loss_cls: 0.2140, decode.d3.loss_mask: 0.4483, decode.d3.loss_dice: 0.6975, decode.d4.loss_cls: 0.2137, decode.d4.loss_mask: 0.4465, decode.d4.loss_dice: 0.6944, decode.d5.loss_cls: 0.2053, decode.d5.loss_mask: 0.4481, decode.d5.loss_dice: 0.6978, decode.d6.loss_cls: 0.2086, decode.d6.loss_mask: 0.4455, decode.d6.loss_dice: 0.6893, decode.d7.loss_cls: 0.2023, decode.d7.loss_mask: 0.4456, decode.d7.loss_dice: 0.6886, decode.d8.loss_cls: 0.2015, decode.d8.loss_mask: 0.4447, decode.d8.loss_dice: 0.6879, loss: 14.6594, grad_norm: 45.9869 2023-11-12 12:57:17,778 - mmseg - INFO - Iter [101850/160000] lr: 3.634e-05, eta: 8:06:25, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1915, decode.loss_mask: 0.4424, decode.loss_dice: 0.6725, decode.d0.loss_cls: 1.1953, decode.d0.loss_mask: 0.4737, decode.d0.loss_dice: 0.7261, decode.d1.loss_cls: 0.2599, decode.d1.loss_mask: 0.4579, decode.d1.loss_dice: 0.7071, decode.d2.loss_cls: 0.2194, decode.d2.loss_mask: 0.4490, decode.d2.loss_dice: 0.6905, decode.d3.loss_cls: 0.2104, decode.d3.loss_mask: 0.4464, decode.d3.loss_dice: 0.6818, decode.d4.loss_cls: 0.2024, decode.d4.loss_mask: 0.4452, decode.d4.loss_dice: 0.6784, decode.d5.loss_cls: 0.1967, decode.d5.loss_mask: 0.4457, decode.d5.loss_dice: 0.6789, decode.d6.loss_cls: 0.1912, decode.d6.loss_mask: 0.4436, decode.d6.loss_dice: 0.6719, decode.d7.loss_cls: 0.1947, decode.d7.loss_mask: 0.4430, decode.d7.loss_dice: 0.6717, decode.d8.loss_cls: 0.1901, decode.d8.loss_mask: 0.4422, decode.d8.loss_dice: 0.6706, loss: 14.3906, grad_norm: 48.0327 2023-11-12 12:57:41,854 - mmseg - INFO - Iter [101900/160000] lr: 3.631e-05, eta: 8:05:59, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2031, decode.loss_mask: 0.4404, decode.loss_dice: 0.6871, decode.d0.loss_cls: 1.1929, decode.d0.loss_mask: 0.4738, decode.d0.loss_dice: 0.7487, decode.d1.loss_cls: 0.2710, decode.d1.loss_mask: 0.4542, decode.d1.loss_dice: 0.7218, decode.d2.loss_cls: 0.2332, decode.d2.loss_mask: 0.4478, decode.d2.loss_dice: 0.7032, decode.d3.loss_cls: 0.2173, decode.d3.loss_mask: 0.4442, decode.d3.loss_dice: 0.6855, decode.d4.loss_cls: 0.2109, decode.d4.loss_mask: 0.4447, decode.d4.loss_dice: 0.6925, decode.d5.loss_cls: 0.2059, decode.d5.loss_mask: 0.4417, decode.d5.loss_dice: 0.6878, decode.d6.loss_cls: 0.2056, decode.d6.loss_mask: 0.4412, decode.d6.loss_dice: 0.6841, decode.d7.loss_cls: 0.1999, decode.d7.loss_mask: 0.4424, decode.d7.loss_dice: 0.6878, decode.d8.loss_cls: 0.2035, decode.d8.loss_mask: 0.4407, decode.d8.loss_dice: 0.6848, loss: 14.5980, grad_norm: 46.6532 2023-11-12 12:58:05,574 - mmseg - INFO - Iter [101950/160000] lr: 3.628e-05, eta: 8:05:33, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2038, decode.loss_mask: 0.4564, decode.loss_dice: 0.6866, decode.d0.loss_cls: 1.1705, decode.d0.loss_mask: 0.4910, decode.d0.loss_dice: 0.7524, decode.d1.loss_cls: 0.2675, decode.d1.loss_mask: 0.4723, decode.d1.loss_dice: 0.7252, decode.d2.loss_cls: 0.2315, decode.d2.loss_mask: 0.4637, decode.d2.loss_dice: 0.7088, decode.d3.loss_cls: 0.2242, decode.d3.loss_mask: 0.4583, decode.d3.loss_dice: 0.6929, decode.d4.loss_cls: 0.2163, decode.d4.loss_mask: 0.4597, decode.d4.loss_dice: 0.6968, decode.d5.loss_cls: 0.2139, decode.d5.loss_mask: 0.4590, decode.d5.loss_dice: 0.6929, decode.d6.loss_cls: 0.2068, decode.d6.loss_mask: 0.4591, decode.d6.loss_dice: 0.6922, decode.d7.loss_cls: 0.2045, decode.d7.loss_mask: 0.4575, decode.d7.loss_dice: 0.6901, decode.d8.loss_cls: 0.2018, decode.d8.loss_mask: 0.4574, decode.d8.loss_dice: 0.6879, loss: 14.8009, grad_norm: 49.5110 2023-11-12 12:58:29,288 - mmseg - INFO - Saving checkpoint at 102000 iterations 2023-11-12 12:58:33,473 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 12:58:33,474 - mmseg - INFO - Iter [102000/160000] lr: 3.625e-05, eta: 8:05:10, time: 0.558, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1928, decode.loss_mask: 0.4425, decode.loss_dice: 0.6873, decode.d0.loss_cls: 1.1919, decode.d0.loss_mask: 0.4719, decode.d0.loss_dice: 0.7420, decode.d1.loss_cls: 0.2588, decode.d1.loss_mask: 0.4574, decode.d1.loss_dice: 0.7190, decode.d2.loss_cls: 0.2206, decode.d2.loss_mask: 0.4496, decode.d2.loss_dice: 0.7033, decode.d3.loss_cls: 0.2084, decode.d3.loss_mask: 0.4453, decode.d3.loss_dice: 0.6949, decode.d4.loss_cls: 0.2017, decode.d4.loss_mask: 0.4434, decode.d4.loss_dice: 0.6914, decode.d5.loss_cls: 0.1994, decode.d5.loss_mask: 0.4431, decode.d5.loss_dice: 0.6907, decode.d6.loss_cls: 0.1925, decode.d6.loss_mask: 0.4427, decode.d6.loss_dice: 0.6956, decode.d7.loss_cls: 0.1912, decode.d7.loss_mask: 0.4425, decode.d7.loss_dice: 0.6883, decode.d8.loss_cls: 0.1917, decode.d8.loss_mask: 0.4432, decode.d8.loss_dice: 0.6885, loss: 14.5316, grad_norm: 47.5508 2023-11-12 12:58:52,700 - mmseg - INFO - per class results: 2023-11-12 12:58:52,705 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.27 | 88.34 | | building | 82.3 | 91.11 | | sky | 94.26 | 97.17 | | floor | 83.3 | 91.28 | | tree | 74.69 | 88.4 | | ceiling | 83.65 | 88.72 | | road | 86.32 | 91.18 | | bed | 90.75 | 96.03 | | windowpane | 63.23 | 79.5 | | grass | 63.83 | 76.06 | | cabinet | 62.82 | 75.92 | | sidewalk | 67.55 | 82.0 | | person | 84.78 | 92.88 | | earth | 40.3 | 56.31 | | door | 49.4 | 66.96 | | table | 65.52 | 81.44 | | mountain | 66.62 | 79.7 | | plant | 52.5 | 67.33 | | curtain | 77.49 | 88.7 | | chair | 63.48 | 76.45 | | car | 86.52 | 92.84 | | water | 52.37 | 66.19 | | painting | 78.65 | 89.05 | | sofa | 69.6 | 81.24 | | shelf | 40.59 | 53.17 | | house | 46.09 | 75.05 | | sea | 58.56 | 90.66 | | mirror | 72.75 | 80.18 | | rug | 65.87 | 77.63 | | field | 26.57 | 49.67 | | armchair | 47.9 | 68.84 | | seat | 62.99 | 86.35 | | fence | 49.33 | 68.82 | | desk | 50.26 | 74.48 | | rock | 49.47 | 76.27 | | wardrobe | 45.55 | 66.41 | | lamp | 71.25 | 83.85 | | bathtub | 76.64 | 86.58 | | railing | 35.1 | 52.67 | | cushion | 63.85 | 76.07 | | base | 37.17 | 56.34 | | box | 29.34 | 38.3 | | column | 35.34 | 45.12 | | signboard | 38.05 | 55.46 | | chest of drawers | 43.53 | 59.77 | | counter | 38.4 | 42.1 | | sand | 34.79 | 50.56 | | sink | 76.74 | 80.76 | | skyscraper | 36.57 | 42.91 | | fireplace | 74.75 | 89.89 | | refrigerator | 78.51 | 82.29 | | grandstand | 49.14 | 72.19 | | path | 26.19 | 40.25 | | stairs | 36.64 | 46.03 | | runway | 84.52 | 87.51 | | case | 57.17 | 81.39 | | pool table | 94.41 | 97.46 | | pillow | 60.96 | 71.71 | | screen door | 55.93 | 63.67 | | stairway | 31.61 | 42.27 | | river | 14.37 | 17.68 | | bridge | 79.81 | 88.58 | | bookcase | 35.24 | 62.75 | | blind | 40.19 | 45.76 | | coffee table | 65.22 | 82.65 | | toilet | 86.16 | 91.38 | | flower | 45.12 | 58.86 | | book | 52.4 | 76.43 | | hill | 4.79 | 9.08 | | bench | 59.08 | 71.86 | | countertop | 64.69 | 74.31 | | stove | 81.79 | 86.57 | | palm | 54.27 | 69.5 | | kitchen island | 58.45 | 78.52 | | computer | 70.93 | 77.64 | | swivel chair | 45.94 | 73.88 | | boat | 68.4 | 84.69 | | bar | 38.34 | 40.87 | | arcade machine | 65.84 | 70.48 | | hovel | 40.2 | 69.92 | | bus | 93.88 | 95.54 | | towel | 72.41 | 80.99 | | light | 62.93 | 77.11 | | truck | 36.14 | 59.02 | | tower | 23.59 | 40.35 | | chandelier | 71.34 | 86.17 | | awning | 36.15 | 47.61 | | streetlight | 42.28 | 63.21 | | booth | 28.34 | 38.53 | | television receiver | 71.04 | 81.18 | | airplane | 68.18 | 74.36 | | dirt track | 26.94 | 51.4 | | apparel | 31.37 | 56.77 | | pole | 31.53 | 48.69 | | land | 3.11 | 7.17 | | bannister | 18.27 | 31.59 | | escalator | 19.91 | 21.13 | | ottoman | 54.35 | 72.73 | | bottle | 26.4 | 31.94 | | buffet | 44.53 | 54.71 | | poster | 22.97 | 32.7 | | stage | 20.25 | 34.15 | | van | 50.59 | 68.83 | | ship | 10.27 | 10.59 | | fountain | 18.88 | 21.77 | | conveyer belt | 48.2 | 65.47 | | canopy | 33.75 | 48.74 | | washer | 72.14 | 74.26 | | plaything | 46.63 | 69.74 | | swimming pool | 51.08 | 64.1 | | stool | 44.86 | 68.15 | | barrel | 91.45 | 96.81 | | basket | 37.49 | 51.2 | | waterfall | 64.27 | 91.08 | | tent | 95.42 | 98.16 | | bag | 19.82 | 25.14 | | minibike | 74.4 | 90.62 | | cradle | 85.8 | 97.32 | | oven | 27.69 | 78.21 | | ball | 43.51 | 58.34 | | food | 65.39 | 84.03 | | step | 18.44 | 27.15 | | tank | 53.03 | 64.42 | | trade name | 24.88 | 30.62 | | microwave | 42.84 | 46.29 | | pot | 49.35 | 57.07 | | animal | 60.97 | 62.81 | | bicycle | 54.88 | 78.49 | | lake | 58.15 | 63.59 | | dishwasher | 75.11 | 80.67 | | screen | 61.33 | 88.42 | | blanket | 25.27 | 31.39 | | sculpture | 53.89 | 86.61 | | hood | 79.03 | 93.8 | | sconce | 56.42 | 71.53 | | vase | 50.38 | 70.92 | | traffic light | 38.79 | 63.48 | | tray | 12.09 | 29.92 | | ashcan | 51.1 | 68.57 | | fan | 72.04 | 85.69 | | pier | 32.56 | 45.07 | | crt screen | 5.34 | 14.71 | | plate | 41.66 | 52.31 | | monitor | 10.45 | 14.6 | | bulletin board | 40.8 | 69.68 | | shower | 3.04 | 21.29 | | radiator | 69.33 | 84.89 | | glass | 21.75 | 23.82 | | clock | 35.18 | 43.6 | | flag | 45.93 | 51.12 | +---------------------+-------+-------+ 2023-11-12 12:58:52,705 - mmseg - INFO - Summary: 2023-11-12 12:58:52,705 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.85 | 52.03 | 65.34 | +-------+-------+-------+ 2023-11-12 12:58:52,706 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 12:58:52,706 - mmseg - INFO - Iter(val) [250] aAcc: 0.8385, mIoU: 0.5203, mAcc: 0.6534, IoU.wall: 0.7927, IoU.building: 0.8230, IoU.sky: 0.9426, IoU.floor: 0.8330, IoU.tree: 0.7469, IoU.ceiling: 0.8365, IoU.road: 0.8632, IoU.bed : 0.9075, IoU.windowpane: 0.6323, IoU.grass: 0.6383, IoU.cabinet: 0.6282, IoU.sidewalk: 0.6755, IoU.person: 0.8478, IoU.earth: 0.4030, IoU.door: 0.4940, IoU.table: 0.6552, IoU.mountain: 0.6662, IoU.plant: 0.5250, IoU.curtain: 0.7749, IoU.chair: 0.6348, IoU.car: 0.8652, IoU.water: 0.5237, IoU.painting: 0.7865, IoU.sofa: 0.6960, IoU.shelf: 0.4059, IoU.house: 0.4609, IoU.sea: 0.5856, IoU.mirror: 0.7275, IoU.rug: 0.6587, IoU.field: 0.2657, IoU.armchair: 0.4790, IoU.seat: 0.6299, IoU.fence: 0.4933, IoU.desk: 0.5026, IoU.rock: 0.4947, IoU.wardrobe: 0.4555, IoU.lamp: 0.7125, IoU.bathtub: 0.7664, IoU.railing: 0.3510, IoU.cushion: 0.6385, IoU.base: 0.3717, IoU.box: 0.2934, IoU.column: 0.3534, IoU.signboard: 0.3805, IoU.chest of drawers: 0.4353, IoU.counter: 0.3840, IoU.sand: 0.3479, IoU.sink: 0.7674, IoU.skyscraper: 0.3657, IoU.fireplace: 0.7475, IoU.refrigerator: 0.7851, IoU.grandstand: 0.4914, IoU.path: 0.2619, IoU.stairs: 0.3664, IoU.runway: 0.8452, IoU.case: 0.5717, IoU.pool table: 0.9441, IoU.pillow: 0.6096, IoU.screen door: 0.5593, IoU.stairway: 0.3161, IoU.river: 0.1437, IoU.bridge: 0.7981, IoU.bookcase: 0.3524, IoU.blind: 0.4019, IoU.coffee table: 0.6522, IoU.toilet: 0.8616, IoU.flower: 0.4512, IoU.book: 0.5240, IoU.hill: 0.0479, IoU.bench: 0.5908, IoU.countertop: 0.6469, IoU.stove: 0.8179, IoU.palm: 0.5427, IoU.kitchen island: 0.5845, IoU.computer: 0.7093, IoU.swivel chair: 0.4594, IoU.boat: 0.6840, IoU.bar: 0.3834, IoU.arcade machine: 0.6584, IoU.hovel: 0.4020, IoU.bus: 0.9388, IoU.towel: 0.7241, IoU.light: 0.6293, IoU.truck: 0.3614, IoU.tower: 0.2359, IoU.chandelier: 0.7134, IoU.awning: 0.3615, IoU.streetlight: 0.4228, IoU.booth: 0.2834, IoU.television receiver: 0.7104, IoU.airplane: 0.6818, IoU.dirt track: 0.2694, IoU.apparel: 0.3137, IoU.pole: 0.3153, IoU.land: 0.0311, IoU.bannister: 0.1827, IoU.escalator: 0.1991, IoU.ottoman: 0.5435, IoU.bottle: 0.2640, IoU.buffet: 0.4453, IoU.poster: 0.2297, IoU.stage: 0.2025, IoU.van: 0.5059, IoU.ship: 0.1027, IoU.fountain: 0.1888, IoU.conveyer belt: 0.4820, IoU.canopy: 0.3375, IoU.washer: 0.7214, IoU.plaything: 0.4663, IoU.swimming pool: 0.5108, IoU.stool: 0.4486, IoU.barrel: 0.9145, IoU.basket: 0.3749, IoU.waterfall: 0.6427, IoU.tent: 0.9542, IoU.bag: 0.1982, IoU.minibike: 0.7440, IoU.cradle: 0.8580, IoU.oven: 0.2769, IoU.ball: 0.4351, IoU.food: 0.6539, IoU.step: 0.1844, IoU.tank: 0.5303, IoU.trade name: 0.2488, IoU.microwave: 0.4284, IoU.pot: 0.4935, IoU.animal: 0.6097, IoU.bicycle: 0.5488, IoU.lake: 0.5815, IoU.dishwasher: 0.7511, IoU.screen: 0.6133, IoU.blanket: 0.2527, IoU.sculpture: 0.5389, IoU.hood: 0.7903, IoU.sconce: 0.5642, IoU.vase: 0.5038, IoU.traffic light: 0.3879, IoU.tray: 0.1209, IoU.ashcan: 0.5110, IoU.fan: 0.7204, IoU.pier: 0.3256, IoU.crt screen: 0.0534, IoU.plate: 0.4166, IoU.monitor: 0.1045, IoU.bulletin board: 0.4080, IoU.shower: 0.0304, IoU.radiator: 0.6933, IoU.glass: 0.2175, IoU.clock: 0.3518, IoU.flag: 0.4593, Acc.wall: 0.8834, Acc.building: 0.9111, Acc.sky: 0.9717, Acc.floor: 0.9128, Acc.tree: 0.8840, Acc.ceiling: 0.8872, Acc.road: 0.9118, Acc.bed : 0.9603, Acc.windowpane: 0.7950, Acc.grass: 0.7606, Acc.cabinet: 0.7592, Acc.sidewalk: 0.8200, Acc.person: 0.9288, Acc.earth: 0.5631, Acc.door: 0.6696, Acc.table: 0.8144, Acc.mountain: 0.7970, Acc.plant: 0.6733, Acc.curtain: 0.8870, Acc.chair: 0.7645, Acc.car: 0.9284, Acc.water: 0.6619, Acc.painting: 0.8905, Acc.sofa: 0.8124, Acc.shelf: 0.5317, Acc.house: 0.7505, Acc.sea: 0.9066, Acc.mirror: 0.8018, Acc.rug: 0.7763, Acc.field: 0.4967, Acc.armchair: 0.6884, Acc.seat: 0.8635, Acc.fence: 0.6882, Acc.desk: 0.7448, Acc.rock: 0.7627, Acc.wardrobe: 0.6641, Acc.lamp: 0.8385, Acc.bathtub: 0.8658, Acc.railing: 0.5267, Acc.cushion: 0.7607, Acc.base: 0.5634, Acc.box: 0.3830, Acc.column: 0.4512, Acc.signboard: 0.5546, Acc.chest of drawers: 0.5977, Acc.counter: 0.4210, Acc.sand: 0.5056, Acc.sink: 0.8076, Acc.skyscraper: 0.4291, Acc.fireplace: 0.8989, Acc.refrigerator: 0.8229, Acc.grandstand: 0.7219, Acc.path: 0.4025, Acc.stairs: 0.4603, Acc.runway: 0.8751, Acc.case: 0.8139, Acc.pool table: 0.9746, Acc.pillow: 0.7171, Acc.screen door: 0.6367, Acc.stairway: 0.4227, Acc.river: 0.1768, Acc.bridge: 0.8858, Acc.bookcase: 0.6275, Acc.blind: 0.4576, Acc.coffee table: 0.8265, Acc.toilet: 0.9138, Acc.flower: 0.5886, Acc.book: 0.7643, Acc.hill: 0.0908, Acc.bench: 0.7186, Acc.countertop: 0.7431, Acc.stove: 0.8657, Acc.palm: 0.6950, Acc.kitchen island: 0.7852, Acc.computer: 0.7764, Acc.swivel chair: 0.7388, Acc.boat: 0.8469, Acc.bar: 0.4087, Acc.arcade machine: 0.7048, Acc.hovel: 0.6992, Acc.bus: 0.9554, Acc.towel: 0.8099, Acc.light: 0.7711, Acc.truck: 0.5902, Acc.tower: 0.4035, Acc.chandelier: 0.8617, Acc.awning: 0.4761, Acc.streetlight: 0.6321, Acc.booth: 0.3853, Acc.television receiver: 0.8118, Acc.airplane: 0.7436, Acc.dirt track: 0.5140, Acc.apparel: 0.5677, Acc.pole: 0.4869, Acc.land: 0.0717, Acc.bannister: 0.3159, Acc.escalator: 0.2113, Acc.ottoman: 0.7273, Acc.bottle: 0.3194, Acc.buffet: 0.5471, Acc.poster: 0.3270, Acc.stage: 0.3415, Acc.van: 0.6883, Acc.ship: 0.1059, Acc.fountain: 0.2177, Acc.conveyer belt: 0.6547, Acc.canopy: 0.4874, Acc.washer: 0.7426, Acc.plaything: 0.6974, Acc.swimming pool: 0.6410, Acc.stool: 0.6815, Acc.barrel: 0.9681, Acc.basket: 0.5120, Acc.waterfall: 0.9108, Acc.tent: 0.9816, Acc.bag: 0.2514, Acc.minibike: 0.9062, Acc.cradle: 0.9732, Acc.oven: 0.7821, Acc.ball: 0.5834, Acc.food: 0.8403, Acc.step: 0.2715, Acc.tank: 0.6442, Acc.trade name: 0.3062, Acc.microwave: 0.4629, Acc.pot: 0.5707, Acc.animal: 0.6281, Acc.bicycle: 0.7849, Acc.lake: 0.6359, Acc.dishwasher: 0.8067, Acc.screen: 0.8842, Acc.blanket: 0.3139, Acc.sculpture: 0.8661, Acc.hood: 0.9380, Acc.sconce: 0.7153, Acc.vase: 0.7092, Acc.traffic light: 0.6348, Acc.tray: 0.2992, Acc.ashcan: 0.6857, Acc.fan: 0.8569, Acc.pier: 0.4507, Acc.crt screen: 0.1471, Acc.plate: 0.5231, Acc.monitor: 0.1460, Acc.bulletin board: 0.6968, Acc.shower: 0.2129, Acc.radiator: 0.8489, Acc.glass: 0.2382, Acc.clock: 0.4360, Acc.flag: 0.5112 2023-11-12 12:59:16,452 - mmseg - INFO - Iter [102050/160000] lr: 3.622e-05, eta: 8:04:55, time: 0.859, data_time: 0.396, memory: 41146, decode.loss_cls: 0.1993, decode.loss_mask: 0.4588, decode.loss_dice: 0.6673, decode.d0.loss_cls: 1.1816, decode.d0.loss_mask: 0.4983, decode.d0.loss_dice: 0.7318, decode.d1.loss_cls: 0.2577, decode.d1.loss_mask: 0.4760, decode.d1.loss_dice: 0.7064, decode.d2.loss_cls: 0.2305, decode.d2.loss_mask: 0.4676, decode.d2.loss_dice: 0.6834, decode.d3.loss_cls: 0.2145, decode.d3.loss_mask: 0.4629, decode.d3.loss_dice: 0.6736, decode.d4.loss_cls: 0.2098, decode.d4.loss_mask: 0.4605, decode.d4.loss_dice: 0.6695, decode.d5.loss_cls: 0.2043, decode.d5.loss_mask: 0.4588, decode.d5.loss_dice: 0.6759, decode.d6.loss_cls: 0.2075, decode.d6.loss_mask: 0.4569, decode.d6.loss_dice: 0.6693, decode.d7.loss_cls: 0.2054, decode.d7.loss_mask: 0.4571, decode.d7.loss_dice: 0.6685, decode.d8.loss_cls: 0.2023, decode.d8.loss_mask: 0.4601, decode.d8.loss_dice: 0.6721, loss: 14.5878, grad_norm: 47.2172 2023-11-12 12:59:40,426 - mmseg - INFO - Iter [102100/160000] lr: 3.619e-05, eta: 8:04:29, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1831, decode.loss_mask: 0.4402, decode.loss_dice: 0.6608, decode.d0.loss_cls: 1.1590, decode.d0.loss_mask: 0.4710, decode.d0.loss_dice: 0.7251, decode.d1.loss_cls: 0.2447, decode.d1.loss_mask: 0.4547, decode.d1.loss_dice: 0.6935, decode.d2.loss_cls: 0.2116, decode.d2.loss_mask: 0.4452, decode.d2.loss_dice: 0.6766, decode.d3.loss_cls: 0.1996, decode.d3.loss_mask: 0.4423, decode.d3.loss_dice: 0.6628, decode.d4.loss_cls: 0.1935, decode.d4.loss_mask: 0.4414, decode.d4.loss_dice: 0.6663, decode.d5.loss_cls: 0.1907, decode.d5.loss_mask: 0.4397, decode.d5.loss_dice: 0.6673, decode.d6.loss_cls: 0.1919, decode.d6.loss_mask: 0.4391, decode.d6.loss_dice: 0.6587, decode.d7.loss_cls: 0.1900, decode.d7.loss_mask: 0.4397, decode.d7.loss_dice: 0.6590, decode.d8.loss_cls: 0.1899, decode.d8.loss_mask: 0.4385, decode.d8.loss_dice: 0.6608, loss: 14.1370, grad_norm: 50.5495 2023-11-12 13:00:04,229 - mmseg - INFO - Iter [102150/160000] lr: 3.616e-05, eta: 8:04:03, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1778, decode.loss_mask: 0.4548, decode.loss_dice: 0.6731, decode.d0.loss_cls: 1.1587, decode.d0.loss_mask: 0.4907, decode.d0.loss_dice: 0.7300, decode.d1.loss_cls: 0.2418, decode.d1.loss_mask: 0.4721, decode.d1.loss_dice: 0.6978, decode.d2.loss_cls: 0.2085, decode.d2.loss_mask: 0.4624, decode.d2.loss_dice: 0.6831, decode.d3.loss_cls: 0.1958, decode.d3.loss_mask: 0.4573, decode.d3.loss_dice: 0.6732, decode.d4.loss_cls: 0.1883, decode.d4.loss_mask: 0.4562, decode.d4.loss_dice: 0.6704, decode.d5.loss_cls: 0.1846, decode.d5.loss_mask: 0.4551, decode.d5.loss_dice: 0.6718, decode.d6.loss_cls: 0.1841, decode.d6.loss_mask: 0.4543, decode.d6.loss_dice: 0.6696, decode.d7.loss_cls: 0.1782, decode.d7.loss_mask: 0.4552, decode.d7.loss_dice: 0.6717, decode.d8.loss_cls: 0.1779, decode.d8.loss_mask: 0.4553, decode.d8.loss_dice: 0.6720, loss: 14.3216, grad_norm: 44.3150 2023-11-12 13:00:28,209 - mmseg - INFO - Iter [102200/160000] lr: 3.613e-05, eta: 8:03:38, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1767, decode.loss_mask: 0.4601, decode.loss_dice: 0.6800, decode.d0.loss_cls: 1.1608, decode.d0.loss_mask: 0.4943, decode.d0.loss_dice: 0.7376, decode.d1.loss_cls: 0.2483, decode.d1.loss_mask: 0.4715, decode.d1.loss_dice: 0.7154, decode.d2.loss_cls: 0.2098, decode.d2.loss_mask: 0.4643, decode.d2.loss_dice: 0.6990, decode.d3.loss_cls: 0.1957, decode.d3.loss_mask: 0.4619, decode.d3.loss_dice: 0.6845, decode.d4.loss_cls: 0.1913, decode.d4.loss_mask: 0.4614, decode.d4.loss_dice: 0.6853, decode.d5.loss_cls: 0.1816, decode.d5.loss_mask: 0.4608, decode.d5.loss_dice: 0.6851, decode.d6.loss_cls: 0.1855, decode.d6.loss_mask: 0.4599, decode.d6.loss_dice: 0.6799, decode.d7.loss_cls: 0.1778, decode.d7.loss_mask: 0.4603, decode.d7.loss_dice: 0.6777, decode.d8.loss_cls: 0.1802, decode.d8.loss_mask: 0.4612, decode.d8.loss_dice: 0.6779, loss: 14.4858, grad_norm: 51.3854 2023-11-12 13:00:52,013 - mmseg - INFO - Iter [102250/160000] lr: 3.609e-05, eta: 8:03:12, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1833, decode.loss_mask: 0.4399, decode.loss_dice: 0.6654, decode.d0.loss_cls: 1.1610, decode.d0.loss_mask: 0.4705, decode.d0.loss_dice: 0.7161, decode.d1.loss_cls: 0.2455, decode.d1.loss_mask: 0.4519, decode.d1.loss_dice: 0.6962, decode.d2.loss_cls: 0.2148, decode.d2.loss_mask: 0.4475, decode.d2.loss_dice: 0.6815, decode.d3.loss_cls: 0.2063, decode.d3.loss_mask: 0.4421, decode.d3.loss_dice: 0.6666, decode.d4.loss_cls: 0.1946, decode.d4.loss_mask: 0.4412, decode.d4.loss_dice: 0.6646, decode.d5.loss_cls: 0.1919, decode.d5.loss_mask: 0.4401, decode.d5.loss_dice: 0.6648, decode.d6.loss_cls: 0.1894, decode.d6.loss_mask: 0.4400, decode.d6.loss_dice: 0.6616, decode.d7.loss_cls: 0.1834, decode.d7.loss_mask: 0.4396, decode.d7.loss_dice: 0.6620, decode.d8.loss_cls: 0.1795, decode.d8.loss_mask: 0.4405, decode.d8.loss_dice: 0.6695, loss: 14.1516, grad_norm: 44.7163 2023-11-12 13:01:15,582 - mmseg - INFO - Iter [102300/160000] lr: 3.606e-05, eta: 8:02:46, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1854, decode.loss_mask: 0.4450, decode.loss_dice: 0.6743, decode.d0.loss_cls: 1.1281, decode.d0.loss_mask: 0.4818, decode.d0.loss_dice: 0.7271, decode.d1.loss_cls: 0.2432, decode.d1.loss_mask: 0.4656, decode.d1.loss_dice: 0.7034, decode.d2.loss_cls: 0.2120, decode.d2.loss_mask: 0.4553, decode.d2.loss_dice: 0.6916, decode.d3.loss_cls: 0.2079, decode.d3.loss_mask: 0.4511, decode.d3.loss_dice: 0.6794, decode.d4.loss_cls: 0.2011, decode.d4.loss_mask: 0.4501, decode.d4.loss_dice: 0.6830, decode.d5.loss_cls: 0.1941, decode.d5.loss_mask: 0.4491, decode.d5.loss_dice: 0.6797, decode.d6.loss_cls: 0.1932, decode.d6.loss_mask: 0.4493, decode.d6.loss_dice: 0.6772, decode.d7.loss_cls: 0.1940, decode.d7.loss_mask: 0.4473, decode.d7.loss_dice: 0.6730, decode.d8.loss_cls: 0.1905, decode.d8.loss_mask: 0.4463, decode.d8.loss_dice: 0.6746, loss: 14.3538, grad_norm: 46.7229 2023-11-12 13:01:41,846 - mmseg - INFO - Iter [102350/160000] lr: 3.603e-05, eta: 8:02:21, time: 0.525, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1696, decode.loss_mask: 0.4781, decode.loss_dice: 0.6764, decode.d0.loss_cls: 1.1067, decode.d0.loss_mask: 0.5075, decode.d0.loss_dice: 0.7249, decode.d1.loss_cls: 0.2306, decode.d1.loss_mask: 0.4882, decode.d1.loss_dice: 0.7064, decode.d2.loss_cls: 0.1946, decode.d2.loss_mask: 0.4799, decode.d2.loss_dice: 0.6944, decode.d3.loss_cls: 0.1878, decode.d3.loss_mask: 0.4776, decode.d3.loss_dice: 0.6784, decode.d4.loss_cls: 0.1809, decode.d4.loss_mask: 0.4785, decode.d4.loss_dice: 0.6807, decode.d5.loss_cls: 0.1785, decode.d5.loss_mask: 0.4789, decode.d5.loss_dice: 0.6798, decode.d6.loss_cls: 0.1747, decode.d6.loss_mask: 0.4783, decode.d6.loss_dice: 0.6791, decode.d7.loss_cls: 0.1685, decode.d7.loss_mask: 0.4787, decode.d7.loss_dice: 0.6784, decode.d8.loss_cls: 0.1691, decode.d8.loss_mask: 0.4781, decode.d8.loss_dice: 0.6775, loss: 14.4609, grad_norm: 45.1494 2023-11-12 13:02:05,791 - mmseg - INFO - Iter [102400/160000] lr: 3.600e-05, eta: 8:01:56, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1840, decode.loss_mask: 0.4560, decode.loss_dice: 0.6902, decode.d0.loss_cls: 1.1697, decode.d0.loss_mask: 0.4845, decode.d0.loss_dice: 0.7528, decode.d1.loss_cls: 0.2551, decode.d1.loss_mask: 0.4692, decode.d1.loss_dice: 0.7186, decode.d2.loss_cls: 0.2168, decode.d2.loss_mask: 0.4607, decode.d2.loss_dice: 0.7067, decode.d3.loss_cls: 0.2068, decode.d3.loss_mask: 0.4581, decode.d3.loss_dice: 0.6933, decode.d4.loss_cls: 0.1972, decode.d4.loss_mask: 0.4588, decode.d4.loss_dice: 0.6924, decode.d5.loss_cls: 0.1905, decode.d5.loss_mask: 0.4564, decode.d5.loss_dice: 0.6907, decode.d6.loss_cls: 0.1852, decode.d6.loss_mask: 0.4558, decode.d6.loss_dice: 0.6916, decode.d7.loss_cls: 0.1902, decode.d7.loss_mask: 0.4552, decode.d7.loss_dice: 0.6885, decode.d8.loss_cls: 0.1817, decode.d8.loss_mask: 0.4549, decode.d8.loss_dice: 0.6946, loss: 14.6063, grad_norm: 49.0792 2023-11-12 13:02:29,432 - mmseg - INFO - Iter [102450/160000] lr: 3.597e-05, eta: 8:01:30, time: 0.473, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1906, decode.loss_mask: 0.4435, decode.loss_dice: 0.6930, decode.d0.loss_cls: 1.1601, decode.d0.loss_mask: 0.4713, decode.d0.loss_dice: 0.7509, decode.d1.loss_cls: 0.2680, decode.d1.loss_mask: 0.4542, decode.d1.loss_dice: 0.7195, decode.d2.loss_cls: 0.2249, decode.d2.loss_mask: 0.4469, decode.d2.loss_dice: 0.7048, decode.d3.loss_cls: 0.2152, decode.d3.loss_mask: 0.4451, decode.d3.loss_dice: 0.6954, decode.d4.loss_cls: 0.2062, decode.d4.loss_mask: 0.4445, decode.d4.loss_dice: 0.6933, decode.d5.loss_cls: 0.2005, decode.d5.loss_mask: 0.4410, decode.d5.loss_dice: 0.6926, decode.d6.loss_cls: 0.1977, decode.d6.loss_mask: 0.4411, decode.d6.loss_dice: 0.6912, decode.d7.loss_cls: 0.1933, decode.d7.loss_mask: 0.4414, decode.d7.loss_dice: 0.6884, decode.d8.loss_cls: 0.1941, decode.d8.loss_mask: 0.4417, decode.d8.loss_dice: 0.6917, loss: 14.5422, grad_norm: 44.5461 2023-11-12 13:02:53,211 - mmseg - INFO - Iter [102500/160000] lr: 3.594e-05, eta: 8:01:04, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2048, decode.loss_mask: 0.4378, decode.loss_dice: 0.6640, decode.d0.loss_cls: 1.1601, decode.d0.loss_mask: 0.4672, decode.d0.loss_dice: 0.7218, decode.d1.loss_cls: 0.2763, decode.d1.loss_mask: 0.4469, decode.d1.loss_dice: 0.6997, decode.d2.loss_cls: 0.2374, decode.d2.loss_mask: 0.4401, decode.d2.loss_dice: 0.6783, decode.d3.loss_cls: 0.2239, decode.d3.loss_mask: 0.4381, decode.d3.loss_dice: 0.6703, decode.d4.loss_cls: 0.2176, decode.d4.loss_mask: 0.4366, decode.d4.loss_dice: 0.6677, decode.d5.loss_cls: 0.2095, decode.d5.loss_mask: 0.4371, decode.d5.loss_dice: 0.6668, decode.d6.loss_cls: 0.2121, decode.d6.loss_mask: 0.4363, decode.d6.loss_dice: 0.6629, decode.d7.loss_cls: 0.2000, decode.d7.loss_mask: 0.4373, decode.d7.loss_dice: 0.6691, decode.d8.loss_cls: 0.2032, decode.d8.loss_mask: 0.4377, decode.d8.loss_dice: 0.6662, loss: 14.3271, grad_norm: 47.0962 2023-11-12 13:03:17,040 - mmseg - INFO - Iter [102550/160000] lr: 3.591e-05, eta: 8:00:38, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1718, decode.loss_mask: 0.4351, decode.loss_dice: 0.6588, decode.d0.loss_cls: 1.1516, decode.d0.loss_mask: 0.4632, decode.d0.loss_dice: 0.7174, decode.d1.loss_cls: 0.2302, decode.d1.loss_mask: 0.4424, decode.d1.loss_dice: 0.6894, decode.d2.loss_cls: 0.1969, decode.d2.loss_mask: 0.4398, decode.d2.loss_dice: 0.6734, decode.d3.loss_cls: 0.1867, decode.d3.loss_mask: 0.4386, decode.d3.loss_dice: 0.6644, decode.d4.loss_cls: 0.1756, decode.d4.loss_mask: 0.4369, decode.d4.loss_dice: 0.6609, decode.d5.loss_cls: 0.1731, decode.d5.loss_mask: 0.4363, decode.d5.loss_dice: 0.6605, decode.d6.loss_cls: 0.1776, decode.d6.loss_mask: 0.4341, decode.d6.loss_dice: 0.6546, decode.d7.loss_cls: 0.1715, decode.d7.loss_mask: 0.4362, decode.d7.loss_dice: 0.6571, decode.d8.loss_cls: 0.1719, decode.d8.loss_mask: 0.4359, decode.d8.loss_dice: 0.6580, loss: 13.8997, grad_norm: 45.9016 2023-11-12 13:03:40,955 - mmseg - INFO - Iter [102600/160000] lr: 3.588e-05, eta: 8:00:12, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1797, decode.loss_mask: 0.4523, decode.loss_dice: 0.6832, decode.d0.loss_cls: 1.1509, decode.d0.loss_mask: 0.4837, decode.d0.loss_dice: 0.7446, decode.d1.loss_cls: 0.2430, decode.d1.loss_mask: 0.4673, decode.d1.loss_dice: 0.7144, decode.d2.loss_cls: 0.2118, decode.d2.loss_mask: 0.4595, decode.d2.loss_dice: 0.7002, decode.d3.loss_cls: 0.1976, decode.d3.loss_mask: 0.4550, decode.d3.loss_dice: 0.6864, decode.d4.loss_cls: 0.1911, decode.d4.loss_mask: 0.4554, decode.d4.loss_dice: 0.6876, decode.d5.loss_cls: 0.1850, decode.d5.loss_mask: 0.4540, decode.d5.loss_dice: 0.6825, decode.d6.loss_cls: 0.1844, decode.d6.loss_mask: 0.4528, decode.d6.loss_dice: 0.6830, decode.d7.loss_cls: 0.1807, decode.d7.loss_mask: 0.4525, decode.d7.loss_dice: 0.6835, decode.d8.loss_cls: 0.1810, decode.d8.loss_mask: 0.4509, decode.d8.loss_dice: 0.6831, loss: 14.4373, grad_norm: 47.8547 2023-11-12 13:04:04,941 - mmseg - INFO - Iter [102650/160000] lr: 3.584e-05, eta: 7:59:47, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1889, decode.loss_mask: 0.4438, decode.loss_dice: 0.6741, decode.d0.loss_cls: 1.1824, decode.d0.loss_mask: 0.4752, decode.d0.loss_dice: 0.7332, decode.d1.loss_cls: 0.2516, decode.d1.loss_mask: 0.4591, decode.d1.loss_dice: 0.7101, decode.d2.loss_cls: 0.2175, decode.d2.loss_mask: 0.4516, decode.d2.loss_dice: 0.6966, decode.d3.loss_cls: 0.2072, decode.d3.loss_mask: 0.4479, decode.d3.loss_dice: 0.6822, decode.d4.loss_cls: 0.1974, decode.d4.loss_mask: 0.4482, decode.d4.loss_dice: 0.6804, decode.d5.loss_cls: 0.1948, decode.d5.loss_mask: 0.4476, decode.d5.loss_dice: 0.6796, decode.d6.loss_cls: 0.1923, decode.d6.loss_mask: 0.4450, decode.d6.loss_dice: 0.6815, decode.d7.loss_cls: 0.1906, decode.d7.loss_mask: 0.4440, decode.d7.loss_dice: 0.6748, decode.d8.loss_cls: 0.1902, decode.d8.loss_mask: 0.4436, decode.d8.loss_dice: 0.6766, loss: 14.4079, grad_norm: 43.8279 2023-11-12 13:04:28,709 - mmseg - INFO - Iter [102700/160000] lr: 3.581e-05, eta: 7:59:21, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1791, decode.loss_mask: 0.4485, decode.loss_dice: 0.6620, decode.d0.loss_cls: 1.1516, decode.d0.loss_mask: 0.4822, decode.d0.loss_dice: 0.7195, decode.d1.loss_cls: 0.2507, decode.d1.loss_mask: 0.4595, decode.d1.loss_dice: 0.6903, decode.d2.loss_cls: 0.2139, decode.d2.loss_mask: 0.4529, decode.d2.loss_dice: 0.6759, decode.d3.loss_cls: 0.1968, decode.d3.loss_mask: 0.4522, decode.d3.loss_dice: 0.6652, decode.d4.loss_cls: 0.1919, decode.d4.loss_mask: 0.4536, decode.d4.loss_dice: 0.6658, decode.d5.loss_cls: 0.1877, decode.d5.loss_mask: 0.4492, decode.d5.loss_dice: 0.6655, decode.d6.loss_cls: 0.1833, decode.d6.loss_mask: 0.4508, decode.d6.loss_dice: 0.6619, decode.d7.loss_cls: 0.1807, decode.d7.loss_mask: 0.4495, decode.d7.loss_dice: 0.6619, decode.d8.loss_cls: 0.1819, decode.d8.loss_mask: 0.4507, decode.d8.loss_dice: 0.6640, loss: 14.1987, grad_norm: 46.1275 2023-11-12 13:04:52,334 - mmseg - INFO - Iter [102750/160000] lr: 3.578e-05, eta: 7:58:55, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1642, decode.loss_mask: 0.4509, decode.loss_dice: 0.6576, decode.d0.loss_cls: 1.1335, decode.d0.loss_mask: 0.4845, decode.d0.loss_dice: 0.7123, decode.d1.loss_cls: 0.2300, decode.d1.loss_mask: 0.4641, decode.d1.loss_dice: 0.6903, decode.d2.loss_cls: 0.1923, decode.d2.loss_mask: 0.4585, decode.d2.loss_dice: 0.6744, decode.d3.loss_cls: 0.1824, decode.d3.loss_mask: 0.4544, decode.d3.loss_dice: 0.6610, decode.d4.loss_cls: 0.1758, decode.d4.loss_mask: 0.4518, decode.d4.loss_dice: 0.6612, decode.d5.loss_cls: 0.1717, decode.d5.loss_mask: 0.4520, decode.d5.loss_dice: 0.6632, decode.d6.loss_cls: 0.1692, decode.d6.loss_mask: 0.4515, decode.d6.loss_dice: 0.6554, decode.d7.loss_cls: 0.1663, decode.d7.loss_mask: 0.4518, decode.d7.loss_dice: 0.6593, decode.d8.loss_cls: 0.1666, decode.d8.loss_mask: 0.4514, decode.d8.loss_dice: 0.6562, loss: 14.0139, grad_norm: 49.6642 2023-11-12 13:05:16,034 - mmseg - INFO - Iter [102800/160000] lr: 3.575e-05, eta: 7:58:29, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1823, decode.loss_mask: 0.4428, decode.loss_dice: 0.6767, decode.d0.loss_cls: 1.1378, decode.d0.loss_mask: 0.4754, decode.d0.loss_dice: 0.7346, decode.d1.loss_cls: 0.2357, decode.d1.loss_mask: 0.4563, decode.d1.loss_dice: 0.7058, decode.d2.loss_cls: 0.2084, decode.d2.loss_mask: 0.4481, decode.d2.loss_dice: 0.6965, decode.d3.loss_cls: 0.2007, decode.d3.loss_mask: 0.4436, decode.d3.loss_dice: 0.6792, decode.d4.loss_cls: 0.1856, decode.d4.loss_mask: 0.4448, decode.d4.loss_dice: 0.6816, decode.d5.loss_cls: 0.1865, decode.d5.loss_mask: 0.4436, decode.d5.loss_dice: 0.6758, decode.d6.loss_cls: 0.1862, decode.d6.loss_mask: 0.4419, decode.d6.loss_dice: 0.6755, decode.d7.loss_cls: 0.1844, decode.d7.loss_mask: 0.4411, decode.d7.loss_dice: 0.6719, decode.d8.loss_cls: 0.1776, decode.d8.loss_mask: 0.4417, decode.d8.loss_dice: 0.6763, loss: 14.2384, grad_norm: 47.9568 2023-11-12 13:05:39,739 - mmseg - INFO - Iter [102850/160000] lr: 3.572e-05, eta: 7:58:03, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.2034, decode.loss_mask: 0.4532, decode.loss_dice: 0.6758, decode.d0.loss_cls: 1.1642, decode.d0.loss_mask: 0.4832, decode.d0.loss_dice: 0.7275, decode.d1.loss_cls: 0.2630, decode.d1.loss_mask: 0.4651, decode.d1.loss_dice: 0.6983, decode.d2.loss_cls: 0.2345, decode.d2.loss_mask: 0.4570, decode.d2.loss_dice: 0.6921, decode.d3.loss_cls: 0.2171, decode.d3.loss_mask: 0.4533, decode.d3.loss_dice: 0.6816, decode.d4.loss_cls: 0.2139, decode.d4.loss_mask: 0.4526, decode.d4.loss_dice: 0.6784, decode.d5.loss_cls: 0.2112, decode.d5.loss_mask: 0.4520, decode.d5.loss_dice: 0.6768, decode.d6.loss_cls: 0.2042, decode.d6.loss_mask: 0.4546, decode.d6.loss_dice: 0.6745, decode.d7.loss_cls: 0.2009, decode.d7.loss_mask: 0.4535, decode.d7.loss_dice: 0.6743, decode.d8.loss_cls: 0.2022, decode.d8.loss_mask: 0.4513, decode.d8.loss_dice: 0.6734, loss: 14.5431, grad_norm: 50.0586 2023-11-12 13:06:03,510 - mmseg - INFO - Iter [102900/160000] lr: 3.569e-05, eta: 7:57:37, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1825, decode.loss_mask: 0.4438, decode.loss_dice: 0.6804, decode.d0.loss_cls: 1.1755, decode.d0.loss_mask: 0.4683, decode.d0.loss_dice: 0.7436, decode.d1.loss_cls: 0.2415, decode.d1.loss_mask: 0.4532, decode.d1.loss_dice: 0.7103, decode.d2.loss_cls: 0.2137, decode.d2.loss_mask: 0.4442, decode.d2.loss_dice: 0.6934, decode.d3.loss_cls: 0.2028, decode.d3.loss_mask: 0.4422, decode.d3.loss_dice: 0.6807, decode.d4.loss_cls: 0.1964, decode.d4.loss_mask: 0.4412, decode.d4.loss_dice: 0.6810, decode.d5.loss_cls: 0.1905, decode.d5.loss_mask: 0.4408, decode.d5.loss_dice: 0.6827, decode.d6.loss_cls: 0.1902, decode.d6.loss_mask: 0.4423, decode.d6.loss_dice: 0.6785, decode.d7.loss_cls: 0.1865, decode.d7.loss_mask: 0.4432, decode.d7.loss_dice: 0.6827, decode.d8.loss_cls: 0.1830, decode.d8.loss_mask: 0.4432, decode.d8.loss_dice: 0.6795, loss: 14.3378, grad_norm: 46.0382 2023-11-12 13:06:27,415 - mmseg - INFO - Iter [102950/160000] lr: 3.566e-05, eta: 7:57:11, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1990, decode.loss_mask: 0.4410, decode.loss_dice: 0.6707, decode.d0.loss_cls: 1.1893, decode.d0.loss_mask: 0.4724, decode.d0.loss_dice: 0.7320, decode.d1.loss_cls: 0.2634, decode.d1.loss_mask: 0.4555, decode.d1.loss_dice: 0.7001, decode.d2.loss_cls: 0.2268, decode.d2.loss_mask: 0.4491, decode.d2.loss_dice: 0.6872, decode.d3.loss_cls: 0.2159, decode.d3.loss_mask: 0.4436, decode.d3.loss_dice: 0.6717, decode.d4.loss_cls: 0.2090, decode.d4.loss_mask: 0.4424, decode.d4.loss_dice: 0.6757, decode.d5.loss_cls: 0.1982, decode.d5.loss_mask: 0.4421, decode.d5.loss_dice: 0.6778, decode.d6.loss_cls: 0.1986, decode.d6.loss_mask: 0.4408, decode.d6.loss_dice: 0.6702, decode.d7.loss_cls: 0.1954, decode.d7.loss_mask: 0.4405, decode.d7.loss_dice: 0.6702, decode.d8.loss_cls: 0.1963, decode.d8.loss_mask: 0.4422, decode.d8.loss_dice: 0.6711, loss: 14.3883, grad_norm: 43.1987 2023-11-12 13:06:51,166 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 13:06:51,166 - mmseg - INFO - Iter [103000/160000] lr: 3.563e-05, eta: 7:56:46, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1851, decode.loss_mask: 0.4527, decode.loss_dice: 0.6628, decode.d0.loss_cls: 1.1659, decode.d0.loss_mask: 0.4845, decode.d0.loss_dice: 0.7248, decode.d1.loss_cls: 0.2606, decode.d1.loss_mask: 0.4664, decode.d1.loss_dice: 0.6961, decode.d2.loss_cls: 0.2259, decode.d2.loss_mask: 0.4588, decode.d2.loss_dice: 0.6811, decode.d3.loss_cls: 0.2055, decode.d3.loss_mask: 0.4539, decode.d3.loss_dice: 0.6663, decode.d4.loss_cls: 0.1977, decode.d4.loss_mask: 0.4518, decode.d4.loss_dice: 0.6634, decode.d5.loss_cls: 0.1950, decode.d5.loss_mask: 0.4520, decode.d5.loss_dice: 0.6648, decode.d6.loss_cls: 0.1923, decode.d6.loss_mask: 0.4511, decode.d6.loss_dice: 0.6605, decode.d7.loss_cls: 0.1896, decode.d7.loss_mask: 0.4517, decode.d7.loss_dice: 0.6617, decode.d8.loss_cls: 0.1843, decode.d8.loss_mask: 0.4534, decode.d8.loss_dice: 0.6621, loss: 14.3214, grad_norm: 50.4046 2023-11-12 13:07:15,310 - mmseg - INFO - Iter [103050/160000] lr: 3.559e-05, eta: 7:56:20, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1854, decode.loss_mask: 0.4406, decode.loss_dice: 0.6742, decode.d0.loss_cls: 1.1772, decode.d0.loss_mask: 0.4709, decode.d0.loss_dice: 0.7290, decode.d1.loss_cls: 0.2487, decode.d1.loss_mask: 0.4528, decode.d1.loss_dice: 0.7042, decode.d2.loss_cls: 0.2115, decode.d2.loss_mask: 0.4461, decode.d2.loss_dice: 0.6878, decode.d3.loss_cls: 0.1993, decode.d3.loss_mask: 0.4451, decode.d3.loss_dice: 0.6780, decode.d4.loss_cls: 0.1926, decode.d4.loss_mask: 0.4442, decode.d4.loss_dice: 0.6757, decode.d5.loss_cls: 0.1932, decode.d5.loss_mask: 0.4425, decode.d5.loss_dice: 0.6795, decode.d6.loss_cls: 0.1915, decode.d6.loss_mask: 0.4421, decode.d6.loss_dice: 0.6736, decode.d7.loss_cls: 0.1899, decode.d7.loss_mask: 0.4409, decode.d7.loss_dice: 0.6740, decode.d8.loss_cls: 0.1849, decode.d8.loss_mask: 0.4417, decode.d8.loss_dice: 0.6760, loss: 14.2931, grad_norm: 50.1716 2023-11-12 13:07:39,043 - mmseg - INFO - Iter [103100/160000] lr: 3.556e-05, eta: 7:55:54, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1773, decode.loss_mask: 0.4446, decode.loss_dice: 0.6643, decode.d0.loss_cls: 1.1316, decode.d0.loss_mask: 0.4801, decode.d0.loss_dice: 0.7294, decode.d1.loss_cls: 0.2391, decode.d1.loss_mask: 0.4623, decode.d1.loss_dice: 0.6932, decode.d2.loss_cls: 0.2122, decode.d2.loss_mask: 0.4530, decode.d2.loss_dice: 0.6760, decode.d3.loss_cls: 0.1951, decode.d3.loss_mask: 0.4493, decode.d3.loss_dice: 0.6679, decode.d4.loss_cls: 0.1856, decode.d4.loss_mask: 0.4480, decode.d4.loss_dice: 0.6685, decode.d5.loss_cls: 0.1865, decode.d5.loss_mask: 0.4473, decode.d5.loss_dice: 0.6664, decode.d6.loss_cls: 0.1840, decode.d6.loss_mask: 0.4459, decode.d6.loss_dice: 0.6609, decode.d7.loss_cls: 0.1784, decode.d7.loss_mask: 0.4466, decode.d7.loss_dice: 0.6623, decode.d8.loss_cls: 0.1751, decode.d8.loss_mask: 0.4455, decode.d8.loss_dice: 0.6646, loss: 14.1410, grad_norm: 46.4060 2023-11-12 13:08:02,885 - mmseg - INFO - Iter [103150/160000] lr: 3.553e-05, eta: 7:55:28, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1922, decode.loss_mask: 0.4376, decode.loss_dice: 0.6883, decode.d0.loss_cls: 1.1628, decode.d0.loss_mask: 0.4703, decode.d0.loss_dice: 0.7521, decode.d1.loss_cls: 0.2618, decode.d1.loss_mask: 0.4509, decode.d1.loss_dice: 0.7298, decode.d2.loss_cls: 0.2233, decode.d2.loss_mask: 0.4453, decode.d2.loss_dice: 0.7098, decode.d3.loss_cls: 0.2038, decode.d3.loss_mask: 0.4420, decode.d3.loss_dice: 0.7004, decode.d4.loss_cls: 0.2013, decode.d4.loss_mask: 0.4403, decode.d4.loss_dice: 0.7009, decode.d5.loss_cls: 0.1965, decode.d5.loss_mask: 0.4398, decode.d5.loss_dice: 0.6967, decode.d6.loss_cls: 0.1957, decode.d6.loss_mask: 0.4387, decode.d6.loss_dice: 0.6954, decode.d7.loss_cls: 0.1922, decode.d7.loss_mask: 0.4385, decode.d7.loss_dice: 0.6935, decode.d8.loss_cls: 0.1911, decode.d8.loss_mask: 0.4367, decode.d8.loss_dice: 0.6933, loss: 14.5209, grad_norm: 43.9779 2023-11-12 13:08:26,599 - mmseg - INFO - Iter [103200/160000] lr: 3.550e-05, eta: 7:55:03, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1759, decode.loss_mask: 0.4606, decode.loss_dice: 0.6899, decode.d0.loss_cls: 1.1475, decode.d0.loss_mask: 0.4987, decode.d0.loss_dice: 0.7645, decode.d1.loss_cls: 0.2446, decode.d1.loss_mask: 0.4762, decode.d1.loss_dice: 0.7312, decode.d2.loss_cls: 0.2044, decode.d2.loss_mask: 0.4680, decode.d2.loss_dice: 0.7102, decode.d3.loss_cls: 0.1910, decode.d3.loss_mask: 0.4646, decode.d3.loss_dice: 0.7005, decode.d4.loss_cls: 0.1800, decode.d4.loss_mask: 0.4623, decode.d4.loss_dice: 0.6955, decode.d5.loss_cls: 0.1768, decode.d5.loss_mask: 0.4622, decode.d5.loss_dice: 0.6936, decode.d6.loss_cls: 0.1803, decode.d6.loss_mask: 0.4628, decode.d6.loss_dice: 0.6945, decode.d7.loss_cls: 0.1787, decode.d7.loss_mask: 0.4621, decode.d7.loss_dice: 0.6904, decode.d8.loss_cls: 0.1755, decode.d8.loss_mask: 0.4615, decode.d8.loss_dice: 0.6921, loss: 14.5961, grad_norm: 49.5015 2023-11-12 13:08:50,419 - mmseg - INFO - Iter [103250/160000] lr: 3.547e-05, eta: 7:54:37, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1966, decode.loss_mask: 0.4601, decode.loss_dice: 0.6906, decode.d0.loss_cls: 1.1928, decode.d0.loss_mask: 0.4983, decode.d0.loss_dice: 0.7518, decode.d1.loss_cls: 0.2584, decode.d1.loss_mask: 0.4729, decode.d1.loss_dice: 0.7267, decode.d2.loss_cls: 0.2256, decode.d2.loss_mask: 0.4653, decode.d2.loss_dice: 0.7097, decode.d3.loss_cls: 0.2085, decode.d3.loss_mask: 0.4634, decode.d3.loss_dice: 0.6980, decode.d4.loss_cls: 0.2033, decode.d4.loss_mask: 0.4605, decode.d4.loss_dice: 0.6940, decode.d5.loss_cls: 0.2007, decode.d5.loss_mask: 0.4604, decode.d5.loss_dice: 0.6942, decode.d6.loss_cls: 0.1984, decode.d6.loss_mask: 0.4608, decode.d6.loss_dice: 0.6938, decode.d7.loss_cls: 0.1977, decode.d7.loss_mask: 0.4608, decode.d7.loss_dice: 0.6896, decode.d8.loss_cls: 0.1948, decode.d8.loss_mask: 0.4594, decode.d8.loss_dice: 0.6916, loss: 14.7788, grad_norm: 48.1305 2023-11-12 13:09:14,204 - mmseg - INFO - Iter [103300/160000] lr: 3.544e-05, eta: 7:54:11, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1813, decode.loss_mask: 0.4610, decode.loss_dice: 0.6850, decode.d0.loss_cls: 1.1870, decode.d0.loss_mask: 0.4975, decode.d0.loss_dice: 0.7480, decode.d1.loss_cls: 0.2516, decode.d1.loss_mask: 0.4772, decode.d1.loss_dice: 0.7241, decode.d2.loss_cls: 0.2275, decode.d2.loss_mask: 0.4665, decode.d2.loss_dice: 0.7015, decode.d3.loss_cls: 0.2098, decode.d3.loss_mask: 0.4643, decode.d3.loss_dice: 0.6889, decode.d4.loss_cls: 0.2042, decode.d4.loss_mask: 0.4600, decode.d4.loss_dice: 0.6866, decode.d5.loss_cls: 0.1922, decode.d5.loss_mask: 0.4617, decode.d5.loss_dice: 0.6876, decode.d6.loss_cls: 0.1895, decode.d6.loss_mask: 0.4620, decode.d6.loss_dice: 0.6838, decode.d7.loss_cls: 0.1894, decode.d7.loss_mask: 0.4615, decode.d7.loss_dice: 0.6836, decode.d8.loss_cls: 0.1855, decode.d8.loss_mask: 0.4609, decode.d8.loss_dice: 0.6876, loss: 14.6675, grad_norm: 45.9415 2023-11-12 13:09:38,156 - mmseg - INFO - Iter [103350/160000] lr: 3.541e-05, eta: 7:53:45, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.2029, decode.loss_mask: 0.4612, decode.loss_dice: 0.6885, decode.d0.loss_cls: 1.1958, decode.d0.loss_mask: 0.5000, decode.d0.loss_dice: 0.7513, decode.d1.loss_cls: 0.2721, decode.d1.loss_mask: 0.4754, decode.d1.loss_dice: 0.7176, decode.d2.loss_cls: 0.2382, decode.d2.loss_mask: 0.4662, decode.d2.loss_dice: 0.7066, decode.d3.loss_cls: 0.2186, decode.d3.loss_mask: 0.4643, decode.d3.loss_dice: 0.6914, decode.d4.loss_cls: 0.2146, decode.d4.loss_mask: 0.4643, decode.d4.loss_dice: 0.6943, decode.d5.loss_cls: 0.2124, decode.d5.loss_mask: 0.4612, decode.d5.loss_dice: 0.6895, decode.d6.loss_cls: 0.2102, decode.d6.loss_mask: 0.4616, decode.d6.loss_dice: 0.6828, decode.d7.loss_cls: 0.2056, decode.d7.loss_mask: 0.4628, decode.d7.loss_dice: 0.6863, decode.d8.loss_cls: 0.2073, decode.d8.loss_mask: 0.4615, decode.d8.loss_dice: 0.6899, loss: 14.8545, grad_norm: 52.2301 2023-11-12 13:10:01,961 - mmseg - INFO - Iter [103400/160000] lr: 3.538e-05, eta: 7:53:19, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1868, decode.loss_mask: 0.4408, decode.loss_dice: 0.6573, decode.d0.loss_cls: 1.1697, decode.d0.loss_mask: 0.4725, decode.d0.loss_dice: 0.7151, decode.d1.loss_cls: 0.2525, decode.d1.loss_mask: 0.4525, decode.d1.loss_dice: 0.6890, decode.d2.loss_cls: 0.2173, decode.d2.loss_mask: 0.4445, decode.d2.loss_dice: 0.6725, decode.d3.loss_cls: 0.2043, decode.d3.loss_mask: 0.4417, decode.d3.loss_dice: 0.6587, decode.d4.loss_cls: 0.1956, decode.d4.loss_mask: 0.4436, decode.d4.loss_dice: 0.6588, decode.d5.loss_cls: 0.1918, decode.d5.loss_mask: 0.4400, decode.d5.loss_dice: 0.6576, decode.d6.loss_cls: 0.1927, decode.d6.loss_mask: 0.4407, decode.d6.loss_dice: 0.6523, decode.d7.loss_cls: 0.1890, decode.d7.loss_mask: 0.4401, decode.d7.loss_dice: 0.6573, decode.d8.loss_cls: 0.1896, decode.d8.loss_mask: 0.4398, decode.d8.loss_dice: 0.6528, loss: 14.1165, grad_norm: 46.1862 2023-11-12 13:10:26,081 - mmseg - INFO - Iter [103450/160000] lr: 3.534e-05, eta: 7:52:54, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1880, decode.loss_mask: 0.4454, decode.loss_dice: 0.6757, decode.d0.loss_cls: 1.1608, decode.d0.loss_mask: 0.4767, decode.d0.loss_dice: 0.7434, decode.d1.loss_cls: 0.2477, decode.d1.loss_mask: 0.4571, decode.d1.loss_dice: 0.7160, decode.d2.loss_cls: 0.2232, decode.d2.loss_mask: 0.4511, decode.d2.loss_dice: 0.6935, decode.d3.loss_cls: 0.2059, decode.d3.loss_mask: 0.4480, decode.d3.loss_dice: 0.6813, decode.d4.loss_cls: 0.2013, decode.d4.loss_mask: 0.4462, decode.d4.loss_dice: 0.6806, decode.d5.loss_cls: 0.1946, decode.d5.loss_mask: 0.4474, decode.d5.loss_dice: 0.6756, decode.d6.loss_cls: 0.1914, decode.d6.loss_mask: 0.4458, decode.d6.loss_dice: 0.6764, decode.d7.loss_cls: 0.1919, decode.d7.loss_mask: 0.4452, decode.d7.loss_dice: 0.6759, decode.d8.loss_cls: 0.1900, decode.d8.loss_mask: 0.4463, decode.d8.loss_dice: 0.6740, loss: 14.3963, grad_norm: 44.9898 2023-11-12 13:10:49,819 - mmseg - INFO - Iter [103500/160000] lr: 3.531e-05, eta: 7:52:28, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1955, decode.loss_mask: 0.4384, decode.loss_dice: 0.6876, decode.d0.loss_cls: 1.2014, decode.d0.loss_mask: 0.4703, decode.d0.loss_dice: 0.7475, decode.d1.loss_cls: 0.2564, decode.d1.loss_mask: 0.4510, decode.d1.loss_dice: 0.7201, decode.d2.loss_cls: 0.2224, decode.d2.loss_mask: 0.4439, decode.d2.loss_dice: 0.6990, decode.d3.loss_cls: 0.2057, decode.d3.loss_mask: 0.4398, decode.d3.loss_dice: 0.6883, decode.d4.loss_cls: 0.1978, decode.d4.loss_mask: 0.4401, decode.d4.loss_dice: 0.6889, decode.d5.loss_cls: 0.1970, decode.d5.loss_mask: 0.4388, decode.d5.loss_dice: 0.6872, decode.d6.loss_cls: 0.1964, decode.d6.loss_mask: 0.4360, decode.d6.loss_dice: 0.6840, decode.d7.loss_cls: 0.1952, decode.d7.loss_mask: 0.4381, decode.d7.loss_dice: 0.6896, decode.d8.loss_cls: 0.1928, decode.d8.loss_mask: 0.4380, decode.d8.loss_dice: 0.6860, loss: 14.4731, grad_norm: 50.7908 2023-11-12 13:11:13,449 - mmseg - INFO - Iter [103550/160000] lr: 3.528e-05, eta: 7:52:02, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1776, decode.loss_mask: 0.4281, decode.loss_dice: 0.6679, decode.d0.loss_cls: 1.1518, decode.d0.loss_mask: 0.4594, decode.d0.loss_dice: 0.7318, decode.d1.loss_cls: 0.2465, decode.d1.loss_mask: 0.4406, decode.d1.loss_dice: 0.7007, decode.d2.loss_cls: 0.2136, decode.d2.loss_mask: 0.4319, decode.d2.loss_dice: 0.6838, decode.d3.loss_cls: 0.1947, decode.d3.loss_mask: 0.4306, decode.d3.loss_dice: 0.6691, decode.d4.loss_cls: 0.1848, decode.d4.loss_mask: 0.4296, decode.d4.loss_dice: 0.6699, decode.d5.loss_cls: 0.1817, decode.d5.loss_mask: 0.4290, decode.d5.loss_dice: 0.6691, decode.d6.loss_cls: 0.1841, decode.d6.loss_mask: 0.4290, decode.d6.loss_dice: 0.6652, decode.d7.loss_cls: 0.1805, decode.d7.loss_mask: 0.4285, decode.d7.loss_dice: 0.6666, decode.d8.loss_cls: 0.1808, decode.d8.loss_mask: 0.4282, decode.d8.loss_dice: 0.6686, loss: 14.0235, grad_norm: 44.4851 2023-11-12 13:11:39,573 - mmseg - INFO - Iter [103600/160000] lr: 3.525e-05, eta: 7:51:38, time: 0.522, data_time: 0.058, memory: 41146, decode.loss_cls: 0.1882, decode.loss_mask: 0.4683, decode.loss_dice: 0.6618, decode.d0.loss_cls: 1.1414, decode.d0.loss_mask: 0.5019, decode.d0.loss_dice: 0.7188, decode.d1.loss_cls: 0.2458, decode.d1.loss_mask: 0.4765, decode.d1.loss_dice: 0.6956, decode.d2.loss_cls: 0.2135, decode.d2.loss_mask: 0.4702, decode.d2.loss_dice: 0.6786, decode.d3.loss_cls: 0.2032, decode.d3.loss_mask: 0.4674, decode.d3.loss_dice: 0.6700, decode.d4.loss_cls: 0.1957, decode.d4.loss_mask: 0.4689, decode.d4.loss_dice: 0.6666, decode.d5.loss_cls: 0.1899, decode.d5.loss_mask: 0.4658, decode.d5.loss_dice: 0.6675, decode.d6.loss_cls: 0.1892, decode.d6.loss_mask: 0.4671, decode.d6.loss_dice: 0.6639, decode.d7.loss_cls: 0.1879, decode.d7.loss_mask: 0.4668, decode.d7.loss_dice: 0.6633, decode.d8.loss_cls: 0.1863, decode.d8.loss_mask: 0.4654, decode.d8.loss_dice: 0.6662, loss: 14.4114, grad_norm: 46.9398 2023-11-12 13:12:03,378 - mmseg - INFO - Iter [103650/160000] lr: 3.522e-05, eta: 7:51:12, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1808, decode.loss_mask: 0.4629, decode.loss_dice: 0.6881, decode.d0.loss_cls: 1.1473, decode.d0.loss_mask: 0.4925, decode.d0.loss_dice: 0.7392, decode.d1.loss_cls: 0.2515, decode.d1.loss_mask: 0.4720, decode.d1.loss_dice: 0.7133, decode.d2.loss_cls: 0.2170, decode.d2.loss_mask: 0.4662, decode.d2.loss_dice: 0.6963, decode.d3.loss_cls: 0.2028, decode.d3.loss_mask: 0.4657, decode.d3.loss_dice: 0.6902, decode.d4.loss_cls: 0.1943, decode.d4.loss_mask: 0.4643, decode.d4.loss_dice: 0.6871, decode.d5.loss_cls: 0.1920, decode.d5.loss_mask: 0.4634, decode.d5.loss_dice: 0.6849, decode.d6.loss_cls: 0.1871, decode.d6.loss_mask: 0.4620, decode.d6.loss_dice: 0.6879, decode.d7.loss_cls: 0.1814, decode.d7.loss_mask: 0.4635, decode.d7.loss_dice: 0.6866, decode.d8.loss_cls: 0.1824, decode.d8.loss_mask: 0.4626, decode.d8.loss_dice: 0.6863, loss: 14.5716, grad_norm: 50.4592 2023-11-12 13:12:27,229 - mmseg - INFO - Iter [103700/160000] lr: 3.519e-05, eta: 7:50:46, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1776, decode.loss_mask: 0.4526, decode.loss_dice: 0.6640, decode.d0.loss_cls: 1.1424, decode.d0.loss_mask: 0.4827, decode.d0.loss_dice: 0.7236, decode.d1.loss_cls: 0.2435, decode.d1.loss_mask: 0.4620, decode.d1.loss_dice: 0.6989, decode.d2.loss_cls: 0.2102, decode.d2.loss_mask: 0.4554, decode.d2.loss_dice: 0.6790, decode.d3.loss_cls: 0.1935, decode.d3.loss_mask: 0.4507, decode.d3.loss_dice: 0.6682, decode.d4.loss_cls: 0.1850, decode.d4.loss_mask: 0.4503, decode.d4.loss_dice: 0.6663, decode.d5.loss_cls: 0.1836, decode.d5.loss_mask: 0.4516, decode.d5.loss_dice: 0.6689, decode.d6.loss_cls: 0.1842, decode.d6.loss_mask: 0.4505, decode.d6.loss_dice: 0.6645, decode.d7.loss_cls: 0.1817, decode.d7.loss_mask: 0.4496, decode.d7.loss_dice: 0.6630, decode.d8.loss_cls: 0.1794, decode.d8.loss_mask: 0.4493, decode.d8.loss_dice: 0.6654, loss: 14.1978, grad_norm: 48.8970 2023-11-12 13:12:51,036 - mmseg - INFO - Iter [103750/160000] lr: 3.516e-05, eta: 7:50:20, time: 0.476, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1768, decode.loss_mask: 0.4360, decode.loss_dice: 0.6682, decode.d0.loss_cls: 1.1980, decode.d0.loss_mask: 0.4655, decode.d0.loss_dice: 0.7280, decode.d1.loss_cls: 0.2475, decode.d1.loss_mask: 0.4471, decode.d1.loss_dice: 0.6956, decode.d2.loss_cls: 0.2157, decode.d2.loss_mask: 0.4406, decode.d2.loss_dice: 0.6832, decode.d3.loss_cls: 0.1996, decode.d3.loss_mask: 0.4385, decode.d3.loss_dice: 0.6707, decode.d4.loss_cls: 0.1898, decode.d4.loss_mask: 0.4356, decode.d4.loss_dice: 0.6644, decode.d5.loss_cls: 0.1851, decode.d5.loss_mask: 0.4357, decode.d5.loss_dice: 0.6710, decode.d6.loss_cls: 0.1867, decode.d6.loss_mask: 0.4343, decode.d6.loss_dice: 0.6667, decode.d7.loss_cls: 0.1815, decode.d7.loss_mask: 0.4344, decode.d7.loss_dice: 0.6675, decode.d8.loss_cls: 0.1812, decode.d8.loss_mask: 0.4351, decode.d8.loss_dice: 0.6691, loss: 14.1489, grad_norm: 46.2051 2023-11-12 13:13:14,912 - mmseg - INFO - Iter [103800/160000] lr: 3.513e-05, eta: 7:49:54, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1776, decode.loss_mask: 0.4631, decode.loss_dice: 0.6836, decode.d0.loss_cls: 1.1314, decode.d0.loss_mask: 0.4947, decode.d0.loss_dice: 0.7436, decode.d1.loss_cls: 0.2337, decode.d1.loss_mask: 0.4720, decode.d1.loss_dice: 0.7165, decode.d2.loss_cls: 0.2011, decode.d2.loss_mask: 0.4659, decode.d2.loss_dice: 0.7027, decode.d3.loss_cls: 0.2003, decode.d3.loss_mask: 0.4625, decode.d3.loss_dice: 0.6856, decode.d4.loss_cls: 0.1869, decode.d4.loss_mask: 0.4628, decode.d4.loss_dice: 0.6876, decode.d5.loss_cls: 0.1816, decode.d5.loss_mask: 0.4658, decode.d5.loss_dice: 0.6883, decode.d6.loss_cls: 0.1805, decode.d6.loss_mask: 0.4631, decode.d6.loss_dice: 0.6860, decode.d7.loss_cls: 0.1774, decode.d7.loss_mask: 0.4619, decode.d7.loss_dice: 0.6839, decode.d8.loss_cls: 0.1747, decode.d8.loss_mask: 0.4638, decode.d8.loss_dice: 0.6881, loss: 14.4867, grad_norm: 48.6049 2023-11-12 13:13:38,917 - mmseg - INFO - Iter [103850/160000] lr: 3.509e-05, eta: 7:49:29, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1924, decode.loss_mask: 0.4333, decode.loss_dice: 0.6586, decode.d0.loss_cls: 1.1677, decode.d0.loss_mask: 0.4682, decode.d0.loss_dice: 0.7205, decode.d1.loss_cls: 0.2576, decode.d1.loss_mask: 0.4509, decode.d1.loss_dice: 0.6930, decode.d2.loss_cls: 0.2224, decode.d2.loss_mask: 0.4422, decode.d2.loss_dice: 0.6793, decode.d3.loss_cls: 0.2119, decode.d3.loss_mask: 0.4363, decode.d3.loss_dice: 0.6659, decode.d4.loss_cls: 0.2012, decode.d4.loss_mask: 0.4350, decode.d4.loss_dice: 0.6666, decode.d5.loss_cls: 0.2010, decode.d5.loss_mask: 0.4341, decode.d5.loss_dice: 0.6627, decode.d6.loss_cls: 0.1962, decode.d6.loss_mask: 0.4355, decode.d6.loss_dice: 0.6626, decode.d7.loss_cls: 0.1928, decode.d7.loss_mask: 0.4347, decode.d7.loss_dice: 0.6608, decode.d8.loss_cls: 0.1915, decode.d8.loss_mask: 0.4342, decode.d8.loss_dice: 0.6611, loss: 14.1700, grad_norm: 45.7896 2023-11-12 13:14:02,713 - mmseg - INFO - Iter [103900/160000] lr: 3.506e-05, eta: 7:49:03, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1784, decode.loss_mask: 0.4350, decode.loss_dice: 0.6632, decode.d0.loss_cls: 1.1609, decode.d0.loss_mask: 0.4648, decode.d0.loss_dice: 0.7201, decode.d1.loss_cls: 0.2539, decode.d1.loss_mask: 0.4488, decode.d1.loss_dice: 0.6927, decode.d2.loss_cls: 0.2138, decode.d2.loss_mask: 0.4420, decode.d2.loss_dice: 0.6788, decode.d3.loss_cls: 0.1959, decode.d3.loss_mask: 0.4380, decode.d3.loss_dice: 0.6669, decode.d4.loss_cls: 0.1921, decode.d4.loss_mask: 0.4363, decode.d4.loss_dice: 0.6679, decode.d5.loss_cls: 0.1879, decode.d5.loss_mask: 0.4358, decode.d5.loss_dice: 0.6690, decode.d6.loss_cls: 0.1828, decode.d6.loss_mask: 0.4346, decode.d6.loss_dice: 0.6599, decode.d7.loss_cls: 0.1824, decode.d7.loss_mask: 0.4353, decode.d7.loss_dice: 0.6594, decode.d8.loss_cls: 0.1801, decode.d8.loss_mask: 0.4341, decode.d8.loss_dice: 0.6596, loss: 14.0703, grad_norm: 48.1903 2023-11-12 13:14:26,644 - mmseg - INFO - Iter [103950/160000] lr: 3.503e-05, eta: 7:48:37, time: 0.479, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1791, decode.loss_mask: 0.4403, decode.loss_dice: 0.6577, decode.d0.loss_cls: 1.1356, decode.d0.loss_mask: 0.4744, decode.d0.loss_dice: 0.7223, decode.d1.loss_cls: 0.2430, decode.d1.loss_mask: 0.4581, decode.d1.loss_dice: 0.6932, decode.d2.loss_cls: 0.2089, decode.d2.loss_mask: 0.4480, decode.d2.loss_dice: 0.6789, decode.d3.loss_cls: 0.1982, decode.d3.loss_mask: 0.4433, decode.d3.loss_dice: 0.6644, decode.d4.loss_cls: 0.1887, decode.d4.loss_mask: 0.4435, decode.d4.loss_dice: 0.6625, decode.d5.loss_cls: 0.1864, decode.d5.loss_mask: 0.4416, decode.d5.loss_dice: 0.6627, decode.d6.loss_cls: 0.1863, decode.d6.loss_mask: 0.4412, decode.d6.loss_dice: 0.6576, decode.d7.loss_cls: 0.1818, decode.d7.loss_mask: 0.4413, decode.d7.loss_dice: 0.6591, decode.d8.loss_cls: 0.1785, decode.d8.loss_mask: 0.4409, decode.d8.loss_dice: 0.6593, loss: 14.0766, grad_norm: 43.3453 2023-11-12 13:14:50,396 - mmseg - INFO - Saving checkpoint at 104000 iterations 2023-11-12 13:14:54,143 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 13:14:54,143 - mmseg - INFO - Iter [104000/160000] lr: 3.500e-05, eta: 7:48:14, time: 0.550, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1764, decode.loss_mask: 0.4422, decode.loss_dice: 0.6684, decode.d0.loss_cls: 1.1359, decode.d0.loss_mask: 0.4700, decode.d0.loss_dice: 0.7262, decode.d1.loss_cls: 0.2442, decode.d1.loss_mask: 0.4506, decode.d1.loss_dice: 0.7035, decode.d2.loss_cls: 0.2095, decode.d2.loss_mask: 0.4446, decode.d2.loss_dice: 0.6835, decode.d3.loss_cls: 0.1985, decode.d3.loss_mask: 0.4407, decode.d3.loss_dice: 0.6714, decode.d4.loss_cls: 0.1908, decode.d4.loss_mask: 0.4415, decode.d4.loss_dice: 0.6718, decode.d5.loss_cls: 0.1828, decode.d5.loss_mask: 0.4422, decode.d5.loss_dice: 0.6736, decode.d6.loss_cls: 0.1839, decode.d6.loss_mask: 0.4427, decode.d6.loss_dice: 0.6689, decode.d7.loss_cls: 0.1740, decode.d7.loss_mask: 0.4422, decode.d7.loss_dice: 0.6693, decode.d8.loss_cls: 0.1773, decode.d8.loss_mask: 0.4422, decode.d8.loss_dice: 0.6717, loss: 14.1405, grad_norm: 47.5416 2023-11-12 13:15:13,551 - mmseg - INFO - per class results: 2023-11-12 13:15:13,556 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.82 | 87.16 | | building | 81.68 | 90.81 | | sky | 94.89 | 97.41 | | floor | 83.14 | 90.85 | | tree | 74.77 | 87.56 | | ceiling | 84.92 | 92.39 | | road | 84.89 | 91.16 | | bed | 91.63 | 96.64 | | windowpane | 63.54 | 78.64 | | grass | 64.04 | 74.88 | | cabinet | 64.04 | 75.23 | | sidewalk | 65.35 | 81.17 | | person | 84.05 | 93.06 | | earth | 39.17 | 54.65 | | door | 51.51 | 65.25 | | table | 65.83 | 82.28 | | mountain | 65.4 | 79.17 | | plant | 54.16 | 65.84 | | curtain | 79.21 | 89.23 | | chair | 60.78 | 71.7 | | car | 87.59 | 94.0 | | water | 53.08 | 65.54 | | painting | 78.04 | 89.47 | | sofa | 67.53 | 83.1 | | shelf | 40.61 | 54.9 | | house | 45.47 | 71.74 | | sea | 64.72 | 90.63 | | mirror | 72.9 | 82.51 | | rug | 62.02 | 71.74 | | field | 26.84 | 51.43 | | armchair | 47.0 | 68.82 | | seat | 60.87 | 80.36 | | fence | 51.25 | 69.46 | | desk | 54.12 | 71.19 | | rock | 45.57 | 69.83 | | wardrobe | 45.44 | 69.11 | | lamp | 69.82 | 82.41 | | bathtub | 80.27 | 83.94 | | railing | 35.98 | 53.21 | | cushion | 62.35 | 72.76 | | base | 38.19 | 65.66 | | box | 28.18 | 37.01 | | column | 41.97 | 61.82 | | signboard | 38.66 | 55.1 | | chest of drawers | 41.57 | 61.84 | | counter | 26.95 | 37.4 | | sand | 32.92 | 45.47 | | sink | 77.04 | 83.43 | | skyscraper | 35.2 | 41.07 | | fireplace | 75.8 | 92.96 | | refrigerator | 81.51 | 90.99 | | grandstand | 43.95 | 76.57 | | path | 26.61 | 40.43 | | stairs | 28.75 | 36.72 | | runway | 86.23 | 92.36 | | case | 47.1 | 56.15 | | pool table | 95.24 | 97.57 | | pillow | 62.77 | 75.1 | | screen door | 73.95 | 90.66 | | stairway | 32.19 | 38.64 | | river | 16.1 | 31.23 | | bridge | 77.21 | 90.83 | | bookcase | 36.83 | 69.23 | | blind | 48.57 | 55.38 | | coffee table | 68.59 | 83.11 | | toilet | 88.79 | 91.47 | | flower | 51.35 | 64.13 | | book | 50.8 | 77.51 | | hill | 4.74 | 9.64 | | bench | 60.3 | 71.56 | | countertop | 65.86 | 75.91 | | stove | 84.76 | 90.11 | | palm | 52.16 | 74.17 | | kitchen island | 51.59 | 78.23 | | computer | 71.53 | 78.91 | | swivel chair | 42.25 | 76.68 | | boat | 50.1 | 54.09 | | bar | 42.2 | 49.21 | | arcade machine | 83.45 | 89.77 | | hovel | 24.79 | 39.75 | | bus | 89.73 | 96.25 | | towel | 71.63 | 81.61 | | light | 59.87 | 72.84 | | truck | 42.13 | 56.02 | | tower | 24.94 | 62.65 | | chandelier | 72.18 | 88.26 | | awning | 35.55 | 48.43 | | streetlight | 43.47 | 63.78 | | booth | 30.54 | 57.18 | | television receiver | 70.25 | 80.57 | | airplane | 61.35 | 74.59 | | dirt track | 3.77 | 42.23 | | apparel | 34.16 | 56.05 | | pole | 33.41 | 50.26 | | land | 2.94 | 9.64 | | bannister | 19.73 | 28.32 | | escalator | 33.64 | 43.68 | | ottoman | 53.0 | 64.56 | | bottle | 40.8 | 70.96 | | buffet | 46.86 | 53.51 | | poster | 19.96 | 36.56 | | stage | 17.96 | 34.53 | | van | 44.65 | 64.79 | | ship | 6.88 | 10.47 | | fountain | 21.22 | 21.75 | | conveyer belt | 52.86 | 76.31 | | canopy | 27.56 | 45.5 | | washer | 71.52 | 73.99 | | plaything | 45.78 | 65.55 | | swimming pool | 46.77 | 62.2 | | stool | 47.87 | 71.14 | | barrel | 66.87 | 98.19 | | basket | 36.48 | 44.87 | | waterfall | 65.96 | 93.71 | | tent | 95.46 | 98.0 | | bag | 19.8 | 24.61 | | minibike | 76.63 | 92.39 | | cradle | 86.16 | 97.79 | | oven | 28.73 | 79.49 | | ball | 41.28 | 48.96 | | food | 60.76 | 76.49 | | step | 20.48 | 26.72 | | tank | 50.82 | 66.08 | | trade name | 25.37 | 30.89 | | microwave | 42.67 | 45.96 | | pot | 58.88 | 68.84 | | animal | 60.77 | 62.41 | | bicycle | 54.01 | 71.55 | | lake | 39.23 | 63.55 | | dishwasher | 81.92 | 88.24 | | screen | 62.23 | 87.95 | | blanket | 25.42 | 35.18 | | sculpture | 61.18 | 86.85 | | hood | 59.09 | 76.1 | | sconce | 58.49 | 70.75 | | vase | 52.49 | 69.57 | | traffic light | 42.17 | 67.48 | | tray | 13.69 | 31.85 | | ashcan | 55.54 | 69.12 | | fan | 72.0 | 85.19 | | pier | 33.17 | 42.99 | | crt screen | 4.31 | 11.66 | | plate | 41.7 | 52.49 | | monitor | 14.04 | 19.27 | | bulletin board | 53.39 | 72.71 | | shower | 11.28 | 21.16 | | radiator | 74.59 | 84.67 | | glass | 22.13 | 23.9 | | clock | 58.56 | 69.6 | | flag | 47.26 | 53.47 | +---------------------+-------+-------+ 2023-11-12 13:15:13,556 - mmseg - INFO - Summary: 2023-11-12 13:15:13,556 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.69 | 52.12 | 66.16 | +-------+-------+-------+ 2023-11-12 13:15:13,557 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 13:15:13,557 - mmseg - INFO - Iter(val) [250] aAcc: 0.8369, mIoU: 0.5212, mAcc: 0.6616, IoU.wall: 0.7882, IoU.building: 0.8168, IoU.sky: 0.9489, IoU.floor: 0.8314, IoU.tree: 0.7477, IoU.ceiling: 0.8492, IoU.road: 0.8489, IoU.bed : 0.9163, IoU.windowpane: 0.6354, IoU.grass: 0.6404, IoU.cabinet: 0.6404, IoU.sidewalk: 0.6535, IoU.person: 0.8405, IoU.earth: 0.3917, IoU.door: 0.5151, IoU.table: 0.6583, IoU.mountain: 0.6540, IoU.plant: 0.5416, IoU.curtain: 0.7921, IoU.chair: 0.6078, IoU.car: 0.8759, IoU.water: 0.5308, IoU.painting: 0.7804, IoU.sofa: 0.6753, IoU.shelf: 0.4061, IoU.house: 0.4547, IoU.sea: 0.6472, IoU.mirror: 0.7290, IoU.rug: 0.6202, IoU.field: 0.2684, IoU.armchair: 0.4700, IoU.seat: 0.6087, IoU.fence: 0.5125, IoU.desk: 0.5412, IoU.rock: 0.4557, IoU.wardrobe: 0.4544, IoU.lamp: 0.6982, IoU.bathtub: 0.8027, IoU.railing: 0.3598, IoU.cushion: 0.6235, IoU.base: 0.3819, IoU.box: 0.2818, IoU.column: 0.4197, IoU.signboard: 0.3866, IoU.chest of drawers: 0.4157, IoU.counter: 0.2695, IoU.sand: 0.3292, IoU.sink: 0.7704, IoU.skyscraper: 0.3520, IoU.fireplace: 0.7580, IoU.refrigerator: 0.8151, IoU.grandstand: 0.4395, IoU.path: 0.2661, IoU.stairs: 0.2875, IoU.runway: 0.8623, IoU.case: 0.4710, IoU.pool table: 0.9524, IoU.pillow: 0.6277, IoU.screen door: 0.7395, IoU.stairway: 0.3219, IoU.river: 0.1610, IoU.bridge: 0.7721, IoU.bookcase: 0.3683, IoU.blind: 0.4857, IoU.coffee table: 0.6859, IoU.toilet: 0.8879, IoU.flower: 0.5135, IoU.book: 0.5080, IoU.hill: 0.0474, IoU.bench: 0.6030, IoU.countertop: 0.6586, IoU.stove: 0.8476, IoU.palm: 0.5216, IoU.kitchen island: 0.5159, IoU.computer: 0.7153, IoU.swivel chair: 0.4225, IoU.boat: 0.5010, IoU.bar: 0.4220, IoU.arcade machine: 0.8345, IoU.hovel: 0.2479, IoU.bus: 0.8973, IoU.towel: 0.7163, IoU.light: 0.5987, IoU.truck: 0.4213, IoU.tower: 0.2494, IoU.chandelier: 0.7218, IoU.awning: 0.3555, IoU.streetlight: 0.4347, IoU.booth: 0.3054, IoU.television receiver: 0.7025, IoU.airplane: 0.6135, IoU.dirt track: 0.0377, IoU.apparel: 0.3416, IoU.pole: 0.3341, IoU.land: 0.0294, IoU.bannister: 0.1973, IoU.escalator: 0.3364, IoU.ottoman: 0.5300, IoU.bottle: 0.4080, IoU.buffet: 0.4686, IoU.poster: 0.1996, IoU.stage: 0.1796, IoU.van: 0.4465, IoU.ship: 0.0688, IoU.fountain: 0.2122, IoU.conveyer belt: 0.5286, IoU.canopy: 0.2756, IoU.washer: 0.7152, IoU.plaything: 0.4578, IoU.swimming pool: 0.4677, IoU.stool: 0.4787, IoU.barrel: 0.6687, IoU.basket: 0.3648, IoU.waterfall: 0.6596, IoU.tent: 0.9546, IoU.bag: 0.1980, IoU.minibike: 0.7663, IoU.cradle: 0.8616, IoU.oven: 0.2873, IoU.ball: 0.4128, IoU.food: 0.6076, IoU.step: 0.2048, IoU.tank: 0.5082, IoU.trade name: 0.2537, IoU.microwave: 0.4267, IoU.pot: 0.5888, IoU.animal: 0.6077, IoU.bicycle: 0.5401, IoU.lake: 0.3923, IoU.dishwasher: 0.8192, IoU.screen: 0.6223, IoU.blanket: 0.2542, IoU.sculpture: 0.6118, IoU.hood: 0.5909, IoU.sconce: 0.5849, IoU.vase: 0.5249, IoU.traffic light: 0.4217, IoU.tray: 0.1369, IoU.ashcan: 0.5554, IoU.fan: 0.7200, IoU.pier: 0.3317, IoU.crt screen: 0.0431, IoU.plate: 0.4170, IoU.monitor: 0.1404, IoU.bulletin board: 0.5339, IoU.shower: 0.1128, IoU.radiator: 0.7459, IoU.glass: 0.2213, IoU.clock: 0.5856, IoU.flag: 0.4726, Acc.wall: 0.8716, Acc.building: 0.9081, Acc.sky: 0.9741, Acc.floor: 0.9085, Acc.tree: 0.8756, Acc.ceiling: 0.9239, Acc.road: 0.9116, Acc.bed : 0.9664, Acc.windowpane: 0.7864, Acc.grass: 0.7488, Acc.cabinet: 0.7523, Acc.sidewalk: 0.8117, Acc.person: 0.9306, Acc.earth: 0.5465, Acc.door: 0.6525, Acc.table: 0.8228, Acc.mountain: 0.7917, Acc.plant: 0.6584, Acc.curtain: 0.8923, Acc.chair: 0.7170, Acc.car: 0.9400, Acc.water: 0.6554, Acc.painting: 0.8947, Acc.sofa: 0.8310, Acc.shelf: 0.5490, Acc.house: 0.7174, Acc.sea: 0.9063, Acc.mirror: 0.8251, Acc.rug: 0.7174, Acc.field: 0.5143, Acc.armchair: 0.6882, Acc.seat: 0.8036, Acc.fence: 0.6946, Acc.desk: 0.7119, Acc.rock: 0.6983, Acc.wardrobe: 0.6911, Acc.lamp: 0.8241, Acc.bathtub: 0.8394, Acc.railing: 0.5321, Acc.cushion: 0.7276, Acc.base: 0.6566, Acc.box: 0.3701, Acc.column: 0.6182, Acc.signboard: 0.5510, Acc.chest of drawers: 0.6184, Acc.counter: 0.3740, Acc.sand: 0.4547, Acc.sink: 0.8343, Acc.skyscraper: 0.4107, Acc.fireplace: 0.9296, Acc.refrigerator: 0.9099, Acc.grandstand: 0.7657, Acc.path: 0.4043, Acc.stairs: 0.3672, Acc.runway: 0.9236, Acc.case: 0.5615, Acc.pool table: 0.9757, Acc.pillow: 0.7510, Acc.screen door: 0.9066, Acc.stairway: 0.3864, Acc.river: 0.3123, Acc.bridge: 0.9083, Acc.bookcase: 0.6923, Acc.blind: 0.5538, Acc.coffee table: 0.8311, Acc.toilet: 0.9147, Acc.flower: 0.6413, Acc.book: 0.7751, Acc.hill: 0.0964, Acc.bench: 0.7156, Acc.countertop: 0.7591, Acc.stove: 0.9011, Acc.palm: 0.7417, Acc.kitchen island: 0.7823, Acc.computer: 0.7891, Acc.swivel chair: 0.7668, Acc.boat: 0.5409, Acc.bar: 0.4921, Acc.arcade machine: 0.8977, Acc.hovel: 0.3975, Acc.bus: 0.9625, Acc.towel: 0.8161, Acc.light: 0.7284, Acc.truck: 0.5602, Acc.tower: 0.6265, Acc.chandelier: 0.8826, Acc.awning: 0.4843, Acc.streetlight: 0.6378, Acc.booth: 0.5718, Acc.television receiver: 0.8057, Acc.airplane: 0.7459, Acc.dirt track: 0.4223, Acc.apparel: 0.5605, Acc.pole: 0.5026, Acc.land: 0.0964, Acc.bannister: 0.2832, Acc.escalator: 0.4368, Acc.ottoman: 0.6456, Acc.bottle: 0.7096, Acc.buffet: 0.5351, Acc.poster: 0.3656, Acc.stage: 0.3453, Acc.van: 0.6479, Acc.ship: 0.1047, Acc.fountain: 0.2175, Acc.conveyer belt: 0.7631, Acc.canopy: 0.4550, Acc.washer: 0.7399, Acc.plaything: 0.6555, Acc.swimming pool: 0.6220, Acc.stool: 0.7114, Acc.barrel: 0.9819, Acc.basket: 0.4487, Acc.waterfall: 0.9371, Acc.tent: 0.9800, Acc.bag: 0.2461, Acc.minibike: 0.9239, Acc.cradle: 0.9779, Acc.oven: 0.7949, Acc.ball: 0.4896, Acc.food: 0.7649, Acc.step: 0.2672, Acc.tank: 0.6608, Acc.trade name: 0.3089, Acc.microwave: 0.4596, Acc.pot: 0.6884, Acc.animal: 0.6241, Acc.bicycle: 0.7155, Acc.lake: 0.6355, Acc.dishwasher: 0.8824, Acc.screen: 0.8795, Acc.blanket: 0.3518, Acc.sculpture: 0.8685, Acc.hood: 0.7610, Acc.sconce: 0.7075, Acc.vase: 0.6957, Acc.traffic light: 0.6748, Acc.tray: 0.3185, Acc.ashcan: 0.6912, Acc.fan: 0.8519, Acc.pier: 0.4299, Acc.crt screen: 0.1166, Acc.plate: 0.5249, Acc.monitor: 0.1927, Acc.bulletin board: 0.7271, Acc.shower: 0.2116, Acc.radiator: 0.8467, Acc.glass: 0.2390, Acc.clock: 0.6960, Acc.flag: 0.5347 2023-11-12 13:15:37,553 - mmseg - INFO - Iter [104050/160000] lr: 3.497e-05, eta: 7:47:58, time: 0.868, data_time: 0.401, memory: 41146, decode.loss_cls: 0.1932, decode.loss_mask: 0.4418, decode.loss_dice: 0.6840, decode.d0.loss_cls: 1.1932, decode.d0.loss_mask: 0.4748, decode.d0.loss_dice: 0.7491, decode.d1.loss_cls: 0.2620, decode.d1.loss_mask: 0.4583, decode.d1.loss_dice: 0.7232, decode.d2.loss_cls: 0.2275, decode.d2.loss_mask: 0.4498, decode.d2.loss_dice: 0.7035, decode.d3.loss_cls: 0.2151, decode.d3.loss_mask: 0.4463, decode.d3.loss_dice: 0.6893, decode.d4.loss_cls: 0.2076, decode.d4.loss_mask: 0.4439, decode.d4.loss_dice: 0.6849, decode.d5.loss_cls: 0.1981, decode.d5.loss_mask: 0.4446, decode.d5.loss_dice: 0.6896, decode.d6.loss_cls: 0.2008, decode.d6.loss_mask: 0.4444, decode.d6.loss_dice: 0.6763, decode.d7.loss_cls: 0.1969, decode.d7.loss_mask: 0.4434, decode.d7.loss_dice: 0.6796, decode.d8.loss_cls: 0.1952, decode.d8.loss_mask: 0.4428, decode.d8.loss_dice: 0.6833, loss: 14.5423, grad_norm: 48.9593 2023-11-12 13:16:01,268 - mmseg - INFO - Iter [104100/160000] lr: 3.494e-05, eta: 7:47:32, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1808, decode.loss_mask: 0.4483, decode.loss_dice: 0.6936, decode.d0.loss_cls: 1.1592, decode.d0.loss_mask: 0.4821, decode.d0.loss_dice: 0.7513, decode.d1.loss_cls: 0.2501, decode.d1.loss_mask: 0.4672, decode.d1.loss_dice: 0.7322, decode.d2.loss_cls: 0.2098, decode.d2.loss_mask: 0.4584, decode.d2.loss_dice: 0.7173, decode.d3.loss_cls: 0.2006, decode.d3.loss_mask: 0.4534, decode.d3.loss_dice: 0.7014, decode.d4.loss_cls: 0.1901, decode.d4.loss_mask: 0.4496, decode.d4.loss_dice: 0.7007, decode.d5.loss_cls: 0.1847, decode.d5.loss_mask: 0.4496, decode.d5.loss_dice: 0.7026, decode.d6.loss_cls: 0.1874, decode.d6.loss_mask: 0.4498, decode.d6.loss_dice: 0.6974, decode.d7.loss_cls: 0.1852, decode.d7.loss_mask: 0.4480, decode.d7.loss_dice: 0.6957, decode.d8.loss_cls: 0.1821, decode.d8.loss_mask: 0.4473, decode.d8.loss_dice: 0.7006, loss: 14.5768, grad_norm: 50.2239 2023-11-12 13:16:25,114 - mmseg - INFO - Iter [104150/160000] lr: 3.491e-05, eta: 7:47:07, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1895, decode.loss_mask: 0.4266, decode.loss_dice: 0.6668, decode.d0.loss_cls: 1.1510, decode.d0.loss_mask: 0.4584, decode.d0.loss_dice: 0.7331, decode.d1.loss_cls: 0.2603, decode.d1.loss_mask: 0.4411, decode.d1.loss_dice: 0.7044, decode.d2.loss_cls: 0.2197, decode.d2.loss_mask: 0.4343, decode.d2.loss_dice: 0.6856, decode.d3.loss_cls: 0.2055, decode.d3.loss_mask: 0.4300, decode.d3.loss_dice: 0.6723, decode.d4.loss_cls: 0.1959, decode.d4.loss_mask: 0.4302, decode.d4.loss_dice: 0.6772, decode.d5.loss_cls: 0.1941, decode.d5.loss_mask: 0.4288, decode.d5.loss_dice: 0.6744, decode.d6.loss_cls: 0.1985, decode.d6.loss_mask: 0.4269, decode.d6.loss_dice: 0.6672, decode.d7.loss_cls: 0.1955, decode.d7.loss_mask: 0.4267, decode.d7.loss_dice: 0.6680, decode.d8.loss_cls: 0.1929, decode.d8.loss_mask: 0.4273, decode.d8.loss_dice: 0.6714, loss: 14.1541, grad_norm: 44.9500 2023-11-12 13:16:48,886 - mmseg - INFO - Iter [104200/160000] lr: 3.488e-05, eta: 7:46:41, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1904, decode.loss_mask: 0.4487, decode.loss_dice: 0.6727, decode.d0.loss_cls: 1.1502, decode.d0.loss_mask: 0.4806, decode.d0.loss_dice: 0.7231, decode.d1.loss_cls: 0.2608, decode.d1.loss_mask: 0.4611, decode.d1.loss_dice: 0.7014, decode.d2.loss_cls: 0.2263, decode.d2.loss_mask: 0.4524, decode.d2.loss_dice: 0.6868, decode.d3.loss_cls: 0.2134, decode.d3.loss_mask: 0.4500, decode.d3.loss_dice: 0.6722, decode.d4.loss_cls: 0.2073, decode.d4.loss_mask: 0.4492, decode.d4.loss_dice: 0.6758, decode.d5.loss_cls: 0.2021, decode.d5.loss_mask: 0.4480, decode.d5.loss_dice: 0.6728, decode.d6.loss_cls: 0.1982, decode.d6.loss_mask: 0.4494, decode.d6.loss_dice: 0.6715, decode.d7.loss_cls: 0.1969, decode.d7.loss_mask: 0.4493, decode.d7.loss_dice: 0.6703, decode.d8.loss_cls: 0.1959, decode.d8.loss_mask: 0.4479, decode.d8.loss_dice: 0.6697, loss: 14.3944, grad_norm: 49.4895 2023-11-12 13:17:13,097 - mmseg - INFO - Iter [104250/160000] lr: 3.484e-05, eta: 7:46:15, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1845, decode.loss_mask: 0.4403, decode.loss_dice: 0.6834, decode.d0.loss_cls: 1.1674, decode.d0.loss_mask: 0.4717, decode.d0.loss_dice: 0.7410, decode.d1.loss_cls: 0.2517, decode.d1.loss_mask: 0.4568, decode.d1.loss_dice: 0.7203, decode.d2.loss_cls: 0.2226, decode.d2.loss_mask: 0.4453, decode.d2.loss_dice: 0.7031, decode.d3.loss_cls: 0.2049, decode.d3.loss_mask: 0.4426, decode.d3.loss_dice: 0.6936, decode.d4.loss_cls: 0.1986, decode.d4.loss_mask: 0.4416, decode.d4.loss_dice: 0.6909, decode.d5.loss_cls: 0.1963, decode.d5.loss_mask: 0.4404, decode.d5.loss_dice: 0.6910, decode.d6.loss_cls: 0.1888, decode.d6.loss_mask: 0.4407, decode.d6.loss_dice: 0.6842, decode.d7.loss_cls: 0.1894, decode.d7.loss_mask: 0.4408, decode.d7.loss_dice: 0.6867, decode.d8.loss_cls: 0.1854, decode.d8.loss_mask: 0.4403, decode.d8.loss_dice: 0.6879, loss: 14.4319, grad_norm: 44.5509 2023-11-12 13:17:36,837 - mmseg - INFO - Iter [104300/160000] lr: 3.481e-05, eta: 7:45:50, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1710, decode.loss_mask: 0.4492, decode.loss_dice: 0.6612, decode.d0.loss_cls: 1.1420, decode.d0.loss_mask: 0.4817, decode.d0.loss_dice: 0.7151, decode.d1.loss_cls: 0.2382, decode.d1.loss_mask: 0.4632, decode.d1.loss_dice: 0.6831, decode.d2.loss_cls: 0.2027, decode.d2.loss_mask: 0.4557, decode.d2.loss_dice: 0.6702, decode.d3.loss_cls: 0.1877, decode.d3.loss_mask: 0.4506, decode.d3.loss_dice: 0.6593, decode.d4.loss_cls: 0.1846, decode.d4.loss_mask: 0.4486, decode.d4.loss_dice: 0.6591, decode.d5.loss_cls: 0.1826, decode.d5.loss_mask: 0.4502, decode.d5.loss_dice: 0.6618, decode.d6.loss_cls: 0.1759, decode.d6.loss_mask: 0.4504, decode.d6.loss_dice: 0.6612, decode.d7.loss_cls: 0.1709, decode.d7.loss_mask: 0.4487, decode.d7.loss_dice: 0.6614, decode.d8.loss_cls: 0.1694, decode.d8.loss_mask: 0.4489, decode.d8.loss_dice: 0.6603, loss: 14.0651, grad_norm: 45.4918 2023-11-12 13:18:00,687 - mmseg - INFO - Iter [104350/160000] lr: 3.478e-05, eta: 7:45:24, time: 0.477, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1804, decode.loss_mask: 0.4418, decode.loss_dice: 0.6737, decode.d0.loss_cls: 1.1825, decode.d0.loss_mask: 0.4750, decode.d0.loss_dice: 0.7389, decode.d1.loss_cls: 0.2563, decode.d1.loss_mask: 0.4540, decode.d1.loss_dice: 0.7069, decode.d2.loss_cls: 0.2127, decode.d2.loss_mask: 0.4459, decode.d2.loss_dice: 0.6910, decode.d3.loss_cls: 0.2027, decode.d3.loss_mask: 0.4436, decode.d3.loss_dice: 0.6802, decode.d4.loss_cls: 0.1925, decode.d4.loss_mask: 0.4436, decode.d4.loss_dice: 0.6746, decode.d5.loss_cls: 0.1846, decode.d5.loss_mask: 0.4458, decode.d5.loss_dice: 0.6768, decode.d6.loss_cls: 0.1887, decode.d6.loss_mask: 0.4434, decode.d6.loss_dice: 0.6732, decode.d7.loss_cls: 0.1876, decode.d7.loss_mask: 0.4419, decode.d7.loss_dice: 0.6697, decode.d8.loss_cls: 0.1805, decode.d8.loss_mask: 0.4416, decode.d8.loss_dice: 0.6740, loss: 14.3040, grad_norm: 45.8892 2023-11-12 13:18:24,566 - mmseg - INFO - Iter [104400/160000] lr: 3.475e-05, eta: 7:44:58, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1949, decode.loss_mask: 0.4553, decode.loss_dice: 0.6717, decode.d0.loss_cls: 1.1481, decode.d0.loss_mask: 0.4921, decode.d0.loss_dice: 0.7280, decode.d1.loss_cls: 0.2701, decode.d1.loss_mask: 0.4706, decode.d1.loss_dice: 0.7041, decode.d2.loss_cls: 0.2266, decode.d2.loss_mask: 0.4626, decode.d2.loss_dice: 0.6896, decode.d3.loss_cls: 0.2135, decode.d3.loss_mask: 0.4579, decode.d3.loss_dice: 0.6774, decode.d4.loss_cls: 0.2088, decode.d4.loss_mask: 0.4568, decode.d4.loss_dice: 0.6722, decode.d5.loss_cls: 0.2011, decode.d5.loss_mask: 0.4569, decode.d5.loss_dice: 0.6735, decode.d6.loss_cls: 0.1993, decode.d6.loss_mask: 0.4563, decode.d6.loss_dice: 0.6714, decode.d7.loss_cls: 0.1921, decode.d7.loss_mask: 0.4565, decode.d7.loss_dice: 0.6690, decode.d8.loss_cls: 0.1977, decode.d8.loss_mask: 0.4548, decode.d8.loss_dice: 0.6684, loss: 14.4972, grad_norm: 43.3023 2023-11-12 13:18:48,462 - mmseg - INFO - Iter [104450/160000] lr: 3.472e-05, eta: 7:44:32, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1844, decode.loss_mask: 0.4280, decode.loss_dice: 0.6558, decode.d0.loss_cls: 1.1544, decode.d0.loss_mask: 0.4610, decode.d0.loss_dice: 0.7115, decode.d1.loss_cls: 0.2566, decode.d1.loss_mask: 0.4436, decode.d1.loss_dice: 0.6917, decode.d2.loss_cls: 0.2155, decode.d2.loss_mask: 0.4328, decode.d2.loss_dice: 0.6736, decode.d3.loss_cls: 0.2019, decode.d3.loss_mask: 0.4300, decode.d3.loss_dice: 0.6646, decode.d4.loss_cls: 0.1955, decode.d4.loss_mask: 0.4309, decode.d4.loss_dice: 0.6615, decode.d5.loss_cls: 0.1944, decode.d5.loss_mask: 0.4288, decode.d5.loss_dice: 0.6644, decode.d6.loss_cls: 0.1902, decode.d6.loss_mask: 0.4265, decode.d6.loss_dice: 0.6558, decode.d7.loss_cls: 0.1896, decode.d7.loss_mask: 0.4273, decode.d7.loss_dice: 0.6599, decode.d8.loss_cls: 0.1835, decode.d8.loss_mask: 0.4289, decode.d8.loss_dice: 0.6634, loss: 14.0061, grad_norm: 43.7299 2023-11-12 13:19:12,310 - mmseg - INFO - Iter [104500/160000] lr: 3.469e-05, eta: 7:44:07, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1816, decode.loss_mask: 0.4373, decode.loss_dice: 0.6608, decode.d0.loss_cls: 1.1557, decode.d0.loss_mask: 0.4684, decode.d0.loss_dice: 0.7100, decode.d1.loss_cls: 0.2443, decode.d1.loss_mask: 0.4494, decode.d1.loss_dice: 0.6863, decode.d2.loss_cls: 0.2196, decode.d2.loss_mask: 0.4428, decode.d2.loss_dice: 0.6739, decode.d3.loss_cls: 0.1995, decode.d3.loss_mask: 0.4390, decode.d3.loss_dice: 0.6613, decode.d4.loss_cls: 0.1950, decode.d4.loss_mask: 0.4379, decode.d4.loss_dice: 0.6606, decode.d5.loss_cls: 0.1884, decode.d5.loss_mask: 0.4389, decode.d5.loss_dice: 0.6611, decode.d6.loss_cls: 0.1871, decode.d6.loss_mask: 0.4377, decode.d6.loss_dice: 0.6568, decode.d7.loss_cls: 0.1861, decode.d7.loss_mask: 0.4379, decode.d7.loss_dice: 0.6572, decode.d8.loss_cls: 0.1863, decode.d8.loss_mask: 0.4379, decode.d8.loss_dice: 0.6597, loss: 14.0586, grad_norm: 44.5095 2023-11-12 13:19:36,127 - mmseg - INFO - Iter [104550/160000] lr: 3.466e-05, eta: 7:43:41, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1858, decode.loss_mask: 0.4377, decode.loss_dice: 0.6832, decode.d0.loss_cls: 1.1479, decode.d0.loss_mask: 0.4698, decode.d0.loss_dice: 0.7430, decode.d1.loss_cls: 0.2549, decode.d1.loss_mask: 0.4513, decode.d1.loss_dice: 0.7103, decode.d2.loss_cls: 0.2141, decode.d2.loss_mask: 0.4448, decode.d2.loss_dice: 0.7013, decode.d3.loss_cls: 0.2000, decode.d3.loss_mask: 0.4439, decode.d3.loss_dice: 0.6885, decode.d4.loss_cls: 0.1954, decode.d4.loss_mask: 0.4421, decode.d4.loss_dice: 0.6864, decode.d5.loss_cls: 0.1925, decode.d5.loss_mask: 0.4405, decode.d5.loss_dice: 0.6874, decode.d6.loss_cls: 0.1922, decode.d6.loss_mask: 0.4393, decode.d6.loss_dice: 0.6831, decode.d7.loss_cls: 0.1880, decode.d7.loss_mask: 0.4380, decode.d7.loss_dice: 0.6797, decode.d8.loss_cls: 0.1833, decode.d8.loss_mask: 0.4377, decode.d8.loss_dice: 0.6822, loss: 14.3443, grad_norm: 43.8623 2023-11-12 13:19:59,928 - mmseg - INFO - Iter [104600/160000] lr: 3.463e-05, eta: 7:43:15, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1999, decode.loss_mask: 0.4393, decode.loss_dice: 0.6826, decode.d0.loss_cls: 1.1683, decode.d0.loss_mask: 0.4724, decode.d0.loss_dice: 0.7480, decode.d1.loss_cls: 0.2678, decode.d1.loss_mask: 0.4554, decode.d1.loss_dice: 0.7189, decode.d2.loss_cls: 0.2298, decode.d2.loss_mask: 0.4470, decode.d2.loss_dice: 0.7016, decode.d3.loss_cls: 0.2123, decode.d3.loss_mask: 0.4437, decode.d3.loss_dice: 0.6891, decode.d4.loss_cls: 0.2058, decode.d4.loss_mask: 0.4434, decode.d4.loss_dice: 0.6867, decode.d5.loss_cls: 0.2044, decode.d5.loss_mask: 0.4441, decode.d5.loss_dice: 0.6854, decode.d6.loss_cls: 0.1984, decode.d6.loss_mask: 0.4409, decode.d6.loss_dice: 0.6839, decode.d7.loss_cls: 0.1944, decode.d7.loss_mask: 0.4415, decode.d7.loss_dice: 0.6850, decode.d8.loss_cls: 0.1954, decode.d8.loss_mask: 0.4410, decode.d8.loss_dice: 0.6854, loss: 14.5118, grad_norm: 52.5523 2023-11-12 13:20:23,923 - mmseg - INFO - Iter [104650/160000] lr: 3.459e-05, eta: 7:42:49, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1885, decode.loss_mask: 0.4366, decode.loss_dice: 0.6682, decode.d0.loss_cls: 1.1962, decode.d0.loss_mask: 0.4715, decode.d0.loss_dice: 0.7283, decode.d1.loss_cls: 0.2635, decode.d1.loss_mask: 0.4500, decode.d1.loss_dice: 0.7022, decode.d2.loss_cls: 0.2351, decode.d2.loss_mask: 0.4411, decode.d2.loss_dice: 0.6855, decode.d3.loss_cls: 0.2091, decode.d3.loss_mask: 0.4405, decode.d3.loss_dice: 0.6704, decode.d4.loss_cls: 0.2020, decode.d4.loss_mask: 0.4403, decode.d4.loss_dice: 0.6703, decode.d5.loss_cls: 0.1900, decode.d5.loss_mask: 0.4389, decode.d5.loss_dice: 0.6725, decode.d6.loss_cls: 0.1910, decode.d6.loss_mask: 0.4382, decode.d6.loss_dice: 0.6736, decode.d7.loss_cls: 0.1842, decode.d7.loss_mask: 0.4393, decode.d7.loss_dice: 0.6728, decode.d8.loss_cls: 0.1858, decode.d8.loss_mask: 0.4392, decode.d8.loss_dice: 0.6734, loss: 14.2982, grad_norm: 47.5699 2023-11-12 13:20:47,808 - mmseg - INFO - Iter [104700/160000] lr: 3.456e-05, eta: 7:42:24, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1780, decode.loss_mask: 0.4398, decode.loss_dice: 0.6753, decode.d0.loss_cls: 1.1653, decode.d0.loss_mask: 0.4723, decode.d0.loss_dice: 0.7401, decode.d1.loss_cls: 0.2475, decode.d1.loss_mask: 0.4556, decode.d1.loss_dice: 0.7103, decode.d2.loss_cls: 0.2127, decode.d2.loss_mask: 0.4456, decode.d2.loss_dice: 0.6953, decode.d3.loss_cls: 0.1968, decode.d3.loss_mask: 0.4437, decode.d3.loss_dice: 0.6804, decode.d4.loss_cls: 0.1875, decode.d4.loss_mask: 0.4432, decode.d4.loss_dice: 0.6782, decode.d5.loss_cls: 0.1808, decode.d5.loss_mask: 0.4402, decode.d5.loss_dice: 0.6825, decode.d6.loss_cls: 0.1836, decode.d6.loss_mask: 0.4399, decode.d6.loss_dice: 0.6765, decode.d7.loss_cls: 0.1824, decode.d7.loss_mask: 0.4397, decode.d7.loss_dice: 0.6776, decode.d8.loss_cls: 0.1800, decode.d8.loss_mask: 0.4405, decode.d8.loss_dice: 0.6803, loss: 14.2715, grad_norm: 50.5147 2023-11-12 13:21:11,463 - mmseg - INFO - Iter [104750/160000] lr: 3.453e-05, eta: 7:41:58, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1730, decode.loss_mask: 0.4539, decode.loss_dice: 0.6702, decode.d0.loss_cls: 1.1353, decode.d0.loss_mask: 0.4832, decode.d0.loss_dice: 0.7282, decode.d1.loss_cls: 0.2353, decode.d1.loss_mask: 0.4630, decode.d1.loss_dice: 0.7018, decode.d2.loss_cls: 0.2048, decode.d2.loss_mask: 0.4578, decode.d2.loss_dice: 0.6842, decode.d3.loss_cls: 0.1901, decode.d3.loss_mask: 0.4531, decode.d3.loss_dice: 0.6745, decode.d4.loss_cls: 0.1863, decode.d4.loss_mask: 0.4554, decode.d4.loss_dice: 0.6735, decode.d5.loss_cls: 0.1809, decode.d5.loss_mask: 0.4546, decode.d5.loss_dice: 0.6747, decode.d6.loss_cls: 0.1783, decode.d6.loss_mask: 0.4530, decode.d6.loss_dice: 0.6742, decode.d7.loss_cls: 0.1755, decode.d7.loss_mask: 0.4518, decode.d7.loss_dice: 0.6715, decode.d8.loss_cls: 0.1718, decode.d8.loss_mask: 0.4540, decode.d8.loss_dice: 0.6728, loss: 14.2367, grad_norm: 51.4190 2023-11-12 13:21:35,569 - mmseg - INFO - Iter [104800/160000] lr: 3.450e-05, eta: 7:41:32, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1846, decode.loss_mask: 0.4501, decode.loss_dice: 0.6698, decode.d0.loss_cls: 1.1740, decode.d0.loss_mask: 0.4864, decode.d0.loss_dice: 0.7307, decode.d1.loss_cls: 0.2556, decode.d1.loss_mask: 0.4646, decode.d1.loss_dice: 0.7027, decode.d2.loss_cls: 0.2171, decode.d2.loss_mask: 0.4589, decode.d2.loss_dice: 0.6917, decode.d3.loss_cls: 0.2005, decode.d3.loss_mask: 0.4554, decode.d3.loss_dice: 0.6751, decode.d4.loss_cls: 0.1957, decode.d4.loss_mask: 0.4531, decode.d4.loss_dice: 0.6782, decode.d5.loss_cls: 0.1927, decode.d5.loss_mask: 0.4527, decode.d5.loss_dice: 0.6726, decode.d6.loss_cls: 0.1876, decode.d6.loss_mask: 0.4531, decode.d6.loss_dice: 0.6687, decode.d7.loss_cls: 0.1852, decode.d7.loss_mask: 0.4524, decode.d7.loss_dice: 0.6676, decode.d8.loss_cls: 0.1846, decode.d8.loss_mask: 0.4521, decode.d8.loss_dice: 0.6688, loss: 14.3820, grad_norm: 44.0605 2023-11-12 13:22:01,698 - mmseg - INFO - Iter [104850/160000] lr: 3.447e-05, eta: 7:41:08, time: 0.523, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1898, decode.loss_mask: 0.4303, decode.loss_dice: 0.6598, decode.d0.loss_cls: 1.1581, decode.d0.loss_mask: 0.4618, decode.d0.loss_dice: 0.7158, decode.d1.loss_cls: 0.2544, decode.d1.loss_mask: 0.4438, decode.d1.loss_dice: 0.6883, decode.d2.loss_cls: 0.2239, decode.d2.loss_mask: 0.4347, decode.d2.loss_dice: 0.6768, decode.d3.loss_cls: 0.2045, decode.d3.loss_mask: 0.4333, decode.d3.loss_dice: 0.6637, decode.d4.loss_cls: 0.2013, decode.d4.loss_mask: 0.4304, decode.d4.loss_dice: 0.6636, decode.d5.loss_cls: 0.1933, decode.d5.loss_mask: 0.4319, decode.d5.loss_dice: 0.6623, decode.d6.loss_cls: 0.1950, decode.d6.loss_mask: 0.4294, decode.d6.loss_dice: 0.6592, decode.d7.loss_cls: 0.1890, decode.d7.loss_mask: 0.4308, decode.d7.loss_dice: 0.6595, decode.d8.loss_cls: 0.1861, decode.d8.loss_mask: 0.4305, decode.d8.loss_dice: 0.6592, loss: 14.0604, grad_norm: 43.7686 2023-11-12 13:22:25,435 - mmseg - INFO - Iter [104900/160000] lr: 3.444e-05, eta: 7:40:42, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1906, decode.loss_mask: 0.4351, decode.loss_dice: 0.6649, decode.d0.loss_cls: 1.1746, decode.d0.loss_mask: 0.4659, decode.d0.loss_dice: 0.7225, decode.d1.loss_cls: 0.2539, decode.d1.loss_mask: 0.4529, decode.d1.loss_dice: 0.6959, decode.d2.loss_cls: 0.2246, decode.d2.loss_mask: 0.4441, decode.d2.loss_dice: 0.6809, decode.d3.loss_cls: 0.2083, decode.d3.loss_mask: 0.4392, decode.d3.loss_dice: 0.6725, decode.d4.loss_cls: 0.2018, decode.d4.loss_mask: 0.4375, decode.d4.loss_dice: 0.6699, decode.d5.loss_cls: 0.1940, decode.d5.loss_mask: 0.4369, decode.d5.loss_dice: 0.6691, decode.d6.loss_cls: 0.1964, decode.d6.loss_mask: 0.4341, decode.d6.loss_dice: 0.6611, decode.d7.loss_cls: 0.1885, decode.d7.loss_mask: 0.4353, decode.d7.loss_dice: 0.6646, decode.d8.loss_cls: 0.1893, decode.d8.loss_mask: 0.4349, decode.d8.loss_dice: 0.6659, loss: 14.2052, grad_norm: 48.4375 2023-11-12 13:22:50,090 - mmseg - INFO - Iter [104950/160000] lr: 3.441e-05, eta: 7:40:17, time: 0.493, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1672, decode.loss_mask: 0.4182, decode.loss_dice: 0.6535, decode.d0.loss_cls: 1.1690, decode.d0.loss_mask: 0.4485, decode.d0.loss_dice: 0.7166, decode.d1.loss_cls: 0.2274, decode.d1.loss_mask: 0.4302, decode.d1.loss_dice: 0.6910, decode.d2.loss_cls: 0.1977, decode.d2.loss_mask: 0.4220, decode.d2.loss_dice: 0.6699, decode.d3.loss_cls: 0.1852, decode.d3.loss_mask: 0.4207, decode.d3.loss_dice: 0.6534, decode.d4.loss_cls: 0.1747, decode.d4.loss_mask: 0.4208, decode.d4.loss_dice: 0.6579, decode.d5.loss_cls: 0.1745, decode.d5.loss_mask: 0.4197, decode.d5.loss_dice: 0.6585, decode.d6.loss_cls: 0.1760, decode.d6.loss_mask: 0.4188, decode.d6.loss_dice: 0.6529, decode.d7.loss_cls: 0.1738, decode.d7.loss_mask: 0.4189, decode.d7.loss_dice: 0.6496, decode.d8.loss_cls: 0.1701, decode.d8.loss_mask: 0.4189, decode.d8.loss_dice: 0.6526, loss: 13.7084, grad_norm: 42.8235 2023-11-12 13:23:15,044 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 13:23:15,045 - mmseg - INFO - Iter [105000/160000] lr: 3.438e-05, eta: 7:39:51, time: 0.499, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1762, decode.loss_mask: 0.4235, decode.loss_dice: 0.6762, decode.d0.loss_cls: 1.1488, decode.d0.loss_mask: 0.4542, decode.d0.loss_dice: 0.7295, decode.d1.loss_cls: 0.2380, decode.d1.loss_mask: 0.4357, decode.d1.loss_dice: 0.7105, decode.d2.loss_cls: 0.2130, decode.d2.loss_mask: 0.4301, decode.d2.loss_dice: 0.6962, decode.d3.loss_cls: 0.1963, decode.d3.loss_mask: 0.4259, decode.d3.loss_dice: 0.6772, decode.d4.loss_cls: 0.1881, decode.d4.loss_mask: 0.4251, decode.d4.loss_dice: 0.6772, decode.d5.loss_cls: 0.1830, decode.d5.loss_mask: 0.4254, decode.d5.loss_dice: 0.6757, decode.d6.loss_cls: 0.1858, decode.d6.loss_mask: 0.4253, decode.d6.loss_dice: 0.6760, decode.d7.loss_cls: 0.1813, decode.d7.loss_mask: 0.4250, decode.d7.loss_dice: 0.6766, decode.d8.loss_cls: 0.1817, decode.d8.loss_mask: 0.4247, decode.d8.loss_dice: 0.6767, loss: 14.0588, grad_norm: 42.7929 2023-11-12 13:23:38,883 - mmseg - INFO - Iter [105050/160000] lr: 3.434e-05, eta: 7:39:26, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1855, decode.loss_mask: 0.4403, decode.loss_dice: 0.6670, decode.d0.loss_cls: 1.1362, decode.d0.loss_mask: 0.4799, decode.d0.loss_dice: 0.7263, decode.d1.loss_cls: 0.2471, decode.d1.loss_mask: 0.4575, decode.d1.loss_dice: 0.6981, decode.d2.loss_cls: 0.2177, decode.d2.loss_mask: 0.4478, decode.d2.loss_dice: 0.6818, decode.d3.loss_cls: 0.2048, decode.d3.loss_mask: 0.4432, decode.d3.loss_dice: 0.6714, decode.d4.loss_cls: 0.1948, decode.d4.loss_mask: 0.4445, decode.d4.loss_dice: 0.6739, decode.d5.loss_cls: 0.1897, decode.d5.loss_mask: 0.4424, decode.d5.loss_dice: 0.6701, decode.d6.loss_cls: 0.1885, decode.d6.loss_mask: 0.4419, decode.d6.loss_dice: 0.6655, decode.d7.loss_cls: 0.1825, decode.d7.loss_mask: 0.4406, decode.d7.loss_dice: 0.6689, decode.d8.loss_cls: 0.1816, decode.d8.loss_mask: 0.4404, decode.d8.loss_dice: 0.6608, loss: 14.1906, grad_norm: 52.1651 2023-11-12 13:24:02,678 - mmseg - INFO - Iter [105100/160000] lr: 3.431e-05, eta: 7:39:00, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1660, decode.loss_mask: 0.4265, decode.loss_dice: 0.6564, decode.d0.loss_cls: 1.1390, decode.d0.loss_mask: 0.4573, decode.d0.loss_dice: 0.7127, decode.d1.loss_cls: 0.2407, decode.d1.loss_mask: 0.4416, decode.d1.loss_dice: 0.6887, decode.d2.loss_cls: 0.2023, decode.d2.loss_mask: 0.4307, decode.d2.loss_dice: 0.6746, decode.d3.loss_cls: 0.1841, decode.d3.loss_mask: 0.4286, decode.d3.loss_dice: 0.6613, decode.d4.loss_cls: 0.1800, decode.d4.loss_mask: 0.4286, decode.d4.loss_dice: 0.6615, decode.d5.loss_cls: 0.1718, decode.d5.loss_mask: 0.4274, decode.d5.loss_dice: 0.6564, decode.d6.loss_cls: 0.1672, decode.d6.loss_mask: 0.4256, decode.d6.loss_dice: 0.6552, decode.d7.loss_cls: 0.1663, decode.d7.loss_mask: 0.4250, decode.d7.loss_dice: 0.6533, decode.d8.loss_cls: 0.1662, decode.d8.loss_mask: 0.4253, decode.d8.loss_dice: 0.6543, loss: 13.7747, grad_norm: 46.5668 2023-11-12 13:24:26,383 - mmseg - INFO - Iter [105150/160000] lr: 3.428e-05, eta: 7:38:34, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1794, decode.loss_mask: 0.4601, decode.loss_dice: 0.6748, decode.d0.loss_cls: 1.1406, decode.d0.loss_mask: 0.4905, decode.d0.loss_dice: 0.7241, decode.d1.loss_cls: 0.2463, decode.d1.loss_mask: 0.4745, decode.d1.loss_dice: 0.7064, decode.d2.loss_cls: 0.2084, decode.d2.loss_mask: 0.4684, decode.d2.loss_dice: 0.6909, decode.d3.loss_cls: 0.1981, decode.d3.loss_mask: 0.4616, decode.d3.loss_dice: 0.6765, decode.d4.loss_cls: 0.1906, decode.d4.loss_mask: 0.4597, decode.d4.loss_dice: 0.6758, decode.d5.loss_cls: 0.1853, decode.d5.loss_mask: 0.4598, decode.d5.loss_dice: 0.6763, decode.d6.loss_cls: 0.1850, decode.d6.loss_mask: 0.4598, decode.d6.loss_dice: 0.6719, decode.d7.loss_cls: 0.1819, decode.d7.loss_mask: 0.4598, decode.d7.loss_dice: 0.6757, decode.d8.loss_cls: 0.1747, decode.d8.loss_mask: 0.4617, decode.d8.loss_dice: 0.6776, loss: 14.3961, grad_norm: 46.9062 2023-11-12 13:24:50,216 - mmseg - INFO - Iter [105200/160000] lr: 3.425e-05, eta: 7:38:08, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1644, decode.loss_mask: 0.4401, decode.loss_dice: 0.6789, decode.d0.loss_cls: 1.1251, decode.d0.loss_mask: 0.4779, decode.d0.loss_dice: 0.7328, decode.d1.loss_cls: 0.2288, decode.d1.loss_mask: 0.4547, decode.d1.loss_dice: 0.7133, decode.d2.loss_cls: 0.1997, decode.d2.loss_mask: 0.4477, decode.d2.loss_dice: 0.6964, decode.d3.loss_cls: 0.1876, decode.d3.loss_mask: 0.4439, decode.d3.loss_dice: 0.6795, decode.d4.loss_cls: 0.1788, decode.d4.loss_mask: 0.4428, decode.d4.loss_dice: 0.6813, decode.d5.loss_cls: 0.1786, decode.d5.loss_mask: 0.4422, decode.d5.loss_dice: 0.6805, decode.d6.loss_cls: 0.1769, decode.d6.loss_mask: 0.4414, decode.d6.loss_dice: 0.6797, decode.d7.loss_cls: 0.1681, decode.d7.loss_mask: 0.4405, decode.d7.loss_dice: 0.6800, decode.d8.loss_cls: 0.1670, decode.d8.loss_mask: 0.4413, decode.d8.loss_dice: 0.6781, loss: 14.1480, grad_norm: 47.7794 2023-11-12 13:25:14,181 - mmseg - INFO - Iter [105250/160000] lr: 3.422e-05, eta: 7:37:43, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1662, decode.loss_mask: 0.4563, decode.loss_dice: 0.6754, decode.d0.loss_cls: 1.1163, decode.d0.loss_mask: 0.4943, decode.d0.loss_dice: 0.7346, decode.d1.loss_cls: 0.2335, decode.d1.loss_mask: 0.4669, decode.d1.loss_dice: 0.7046, decode.d2.loss_cls: 0.1982, decode.d2.loss_mask: 0.4612, decode.d2.loss_dice: 0.6960, decode.d3.loss_cls: 0.1846, decode.d3.loss_mask: 0.4587, decode.d3.loss_dice: 0.6825, decode.d4.loss_cls: 0.1767, decode.d4.loss_mask: 0.4577, decode.d4.loss_dice: 0.6771, decode.d5.loss_cls: 0.1737, decode.d5.loss_mask: 0.4570, decode.d5.loss_dice: 0.6795, decode.d6.loss_cls: 0.1693, decode.d6.loss_mask: 0.4574, decode.d6.loss_dice: 0.6769, decode.d7.loss_cls: 0.1631, decode.d7.loss_mask: 0.4570, decode.d7.loss_dice: 0.6765, decode.d8.loss_cls: 0.1666, decode.d8.loss_mask: 0.4565, decode.d8.loss_dice: 0.6781, loss: 14.2524, grad_norm: 46.2557 2023-11-12 13:25:37,964 - mmseg - INFO - Iter [105300/160000] lr: 3.419e-05, eta: 7:37:17, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1871, decode.loss_mask: 0.4412, decode.loss_dice: 0.6581, decode.d0.loss_cls: 1.1383, decode.d0.loss_mask: 0.4735, decode.d0.loss_dice: 0.7248, decode.d1.loss_cls: 0.2551, decode.d1.loss_mask: 0.4546, decode.d1.loss_dice: 0.6899, decode.d2.loss_cls: 0.2239, decode.d2.loss_mask: 0.4463, decode.d2.loss_dice: 0.6785, decode.d3.loss_cls: 0.2067, decode.d3.loss_mask: 0.4429, decode.d3.loss_dice: 0.6682, decode.d4.loss_cls: 0.1951, decode.d4.loss_mask: 0.4428, decode.d4.loss_dice: 0.6712, decode.d5.loss_cls: 0.1959, decode.d5.loss_mask: 0.4423, decode.d5.loss_dice: 0.6627, decode.d6.loss_cls: 0.1923, decode.d6.loss_mask: 0.4403, decode.d6.loss_dice: 0.6645, decode.d7.loss_cls: 0.1871, decode.d7.loss_mask: 0.4412, decode.d7.loss_dice: 0.6658, decode.d8.loss_cls: 0.1870, decode.d8.loss_mask: 0.4420, decode.d8.loss_dice: 0.6659, loss: 14.1853, grad_norm: 45.4797 2023-11-12 13:26:01,774 - mmseg - INFO - Iter [105350/160000] lr: 3.416e-05, eta: 7:36:51, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1745, decode.loss_mask: 0.4393, decode.loss_dice: 0.6767, decode.d0.loss_cls: 1.1618, decode.d0.loss_mask: 0.4714, decode.d0.loss_dice: 0.7401, decode.d1.loss_cls: 0.2298, decode.d1.loss_mask: 0.4521, decode.d1.loss_dice: 0.7121, decode.d2.loss_cls: 0.2000, decode.d2.loss_mask: 0.4460, decode.d2.loss_dice: 0.6998, decode.d3.loss_cls: 0.1904, decode.d3.loss_mask: 0.4404, decode.d3.loss_dice: 0.6845, decode.d4.loss_cls: 0.1804, decode.d4.loss_mask: 0.4405, decode.d4.loss_dice: 0.6884, decode.d5.loss_cls: 0.1781, decode.d5.loss_mask: 0.4394, decode.d5.loss_dice: 0.6837, decode.d6.loss_cls: 0.1770, decode.d6.loss_mask: 0.4409, decode.d6.loss_dice: 0.6783, decode.d7.loss_cls: 0.1752, decode.d7.loss_mask: 0.4399, decode.d7.loss_dice: 0.6787, decode.d8.loss_cls: 0.1740, decode.d8.loss_mask: 0.4410, decode.d8.loss_dice: 0.6812, loss: 14.2161, grad_norm: 45.8013 2023-11-12 13:26:25,767 - mmseg - INFO - Iter [105400/160000] lr: 3.413e-05, eta: 7:36:26, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1834, decode.loss_mask: 0.4313, decode.loss_dice: 0.6742, decode.d0.loss_cls: 1.1652, decode.d0.loss_mask: 0.4649, decode.d0.loss_dice: 0.7369, decode.d1.loss_cls: 0.2526, decode.d1.loss_mask: 0.4444, decode.d1.loss_dice: 0.7103, decode.d2.loss_cls: 0.2160, decode.d2.loss_mask: 0.4370, decode.d2.loss_dice: 0.6899, decode.d3.loss_cls: 0.2036, decode.d3.loss_mask: 0.4328, decode.d3.loss_dice: 0.6786, decode.d4.loss_cls: 0.1923, decode.d4.loss_mask: 0.4316, decode.d4.loss_dice: 0.6802, decode.d5.loss_cls: 0.1898, decode.d5.loss_mask: 0.4322, decode.d5.loss_dice: 0.6798, decode.d6.loss_cls: 0.1867, decode.d6.loss_mask: 0.4326, decode.d6.loss_dice: 0.6768, decode.d7.loss_cls: 0.1888, decode.d7.loss_mask: 0.4321, decode.d7.loss_dice: 0.6762, decode.d8.loss_cls: 0.1905, decode.d8.loss_mask: 0.4312, decode.d8.loss_dice: 0.6753, loss: 14.2172, grad_norm: 47.2585 2023-11-12 13:26:49,595 - mmseg - INFO - Iter [105450/160000] lr: 3.409e-05, eta: 7:36:00, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1933, decode.loss_mask: 0.4437, decode.loss_dice: 0.6867, decode.d0.loss_cls: 1.1641, decode.d0.loss_mask: 0.4776, decode.d0.loss_dice: 0.7514, decode.d1.loss_cls: 0.2533, decode.d1.loss_mask: 0.4591, decode.d1.loss_dice: 0.7281, decode.d2.loss_cls: 0.2184, decode.d2.loss_mask: 0.4549, decode.d2.loss_dice: 0.7079, decode.d3.loss_cls: 0.2068, decode.d3.loss_mask: 0.4459, decode.d3.loss_dice: 0.6932, decode.d4.loss_cls: 0.1996, decode.d4.loss_mask: 0.4453, decode.d4.loss_dice: 0.6936, decode.d5.loss_cls: 0.1959, decode.d5.loss_mask: 0.4461, decode.d5.loss_dice: 0.6948, decode.d6.loss_cls: 0.1953, decode.d6.loss_mask: 0.4447, decode.d6.loss_dice: 0.6872, decode.d7.loss_cls: 0.1925, decode.d7.loss_mask: 0.4451, decode.d7.loss_dice: 0.6859, decode.d8.loss_cls: 0.1909, decode.d8.loss_mask: 0.4442, decode.d8.loss_dice: 0.6855, loss: 14.5311, grad_norm: 46.4821 2023-11-12 13:27:13,529 - mmseg - INFO - Iter [105500/160000] lr: 3.406e-05, eta: 7:35:34, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1887, decode.loss_mask: 0.4448, decode.loss_dice: 0.6788, decode.d0.loss_cls: 1.1616, decode.d0.loss_mask: 0.4800, decode.d0.loss_dice: 0.7439, decode.d1.loss_cls: 0.2581, decode.d1.loss_mask: 0.4592, decode.d1.loss_dice: 0.7132, decode.d2.loss_cls: 0.2268, decode.d2.loss_mask: 0.4491, decode.d2.loss_dice: 0.6929, decode.d3.loss_cls: 0.2084, decode.d3.loss_mask: 0.4485, decode.d3.loss_dice: 0.6796, decode.d4.loss_cls: 0.2000, decode.d4.loss_mask: 0.4476, decode.d4.loss_dice: 0.6815, decode.d5.loss_cls: 0.1961, decode.d5.loss_mask: 0.4461, decode.d5.loss_dice: 0.6830, decode.d6.loss_cls: 0.1937, decode.d6.loss_mask: 0.4457, decode.d6.loss_dice: 0.6772, decode.d7.loss_cls: 0.1926, decode.d7.loss_mask: 0.4447, decode.d7.loss_dice: 0.6777, decode.d8.loss_cls: 0.1890, decode.d8.loss_mask: 0.4447, decode.d8.loss_dice: 0.6799, loss: 14.4331, grad_norm: 46.7866 2023-11-12 13:27:37,282 - mmseg - INFO - Iter [105550/160000] lr: 3.403e-05, eta: 7:35:08, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1858, decode.loss_mask: 0.4458, decode.loss_dice: 0.6894, decode.d0.loss_cls: 1.1649, decode.d0.loss_mask: 0.4809, decode.d0.loss_dice: 0.7410, decode.d1.loss_cls: 0.2545, decode.d1.loss_mask: 0.4582, decode.d1.loss_dice: 0.7182, decode.d2.loss_cls: 0.2181, decode.d2.loss_mask: 0.4542, decode.d2.loss_dice: 0.7030, decode.d3.loss_cls: 0.2045, decode.d3.loss_mask: 0.4480, decode.d3.loss_dice: 0.6882, decode.d4.loss_cls: 0.2002, decode.d4.loss_mask: 0.4463, decode.d4.loss_dice: 0.6919, decode.d5.loss_cls: 0.1956, decode.d5.loss_mask: 0.4482, decode.d5.loss_dice: 0.6953, decode.d6.loss_cls: 0.1932, decode.d6.loss_mask: 0.4470, decode.d6.loss_dice: 0.6927, decode.d7.loss_cls: 0.1897, decode.d7.loss_mask: 0.4469, decode.d7.loss_dice: 0.6873, decode.d8.loss_cls: 0.1927, decode.d8.loss_mask: 0.4465, decode.d8.loss_dice: 0.6910, loss: 14.5193, grad_norm: 47.2591 2023-11-12 13:28:01,093 - mmseg - INFO - Iter [105600/160000] lr: 3.400e-05, eta: 7:34:43, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1984, decode.loss_mask: 0.4485, decode.loss_dice: 0.6857, decode.d0.loss_cls: 1.1827, decode.d0.loss_mask: 0.4818, decode.d0.loss_dice: 0.7458, decode.d1.loss_cls: 0.2645, decode.d1.loss_mask: 0.4661, decode.d1.loss_dice: 0.7264, decode.d2.loss_cls: 0.2287, decode.d2.loss_mask: 0.4578, decode.d2.loss_dice: 0.7062, decode.d3.loss_cls: 0.2204, decode.d3.loss_mask: 0.4533, decode.d3.loss_dice: 0.6904, decode.d4.loss_cls: 0.2173, decode.d4.loss_mask: 0.4513, decode.d4.loss_dice: 0.6888, decode.d5.loss_cls: 0.2071, decode.d5.loss_mask: 0.4497, decode.d5.loss_dice: 0.6908, decode.d6.loss_cls: 0.2054, decode.d6.loss_mask: 0.4493, decode.d6.loss_dice: 0.6819, decode.d7.loss_cls: 0.2020, decode.d7.loss_mask: 0.4485, decode.d7.loss_dice: 0.6817, decode.d8.loss_cls: 0.1936, decode.d8.loss_mask: 0.4505, decode.d8.loss_dice: 0.6890, loss: 14.6636, grad_norm: 49.4689 2023-11-12 13:28:24,923 - mmseg - INFO - Iter [105650/160000] lr: 3.397e-05, eta: 7:34:17, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1793, decode.loss_mask: 0.4383, decode.loss_dice: 0.6554, decode.d0.loss_cls: 1.1432, decode.d0.loss_mask: 0.4693, decode.d0.loss_dice: 0.7119, decode.d1.loss_cls: 0.2369, decode.d1.loss_mask: 0.4544, decode.d1.loss_dice: 0.6847, decode.d2.loss_cls: 0.2108, decode.d2.loss_mask: 0.4437, decode.d2.loss_dice: 0.6700, decode.d3.loss_cls: 0.1946, decode.d3.loss_mask: 0.4394, decode.d3.loss_dice: 0.6607, decode.d4.loss_cls: 0.1873, decode.d4.loss_mask: 0.4384, decode.d4.loss_dice: 0.6595, decode.d5.loss_cls: 0.1814, decode.d5.loss_mask: 0.4383, decode.d5.loss_dice: 0.6603, decode.d6.loss_cls: 0.1819, decode.d6.loss_mask: 0.4374, decode.d6.loss_dice: 0.6577, decode.d7.loss_cls: 0.1767, decode.d7.loss_mask: 0.4388, decode.d7.loss_dice: 0.6574, decode.d8.loss_cls: 0.1766, decode.d8.loss_mask: 0.4382, decode.d8.loss_dice: 0.6581, loss: 13.9806, grad_norm: 52.4109 2023-11-12 13:28:48,783 - mmseg - INFO - Iter [105700/160000] lr: 3.394e-05, eta: 7:33:51, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1769, decode.loss_mask: 0.4544, decode.loss_dice: 0.6709, decode.d0.loss_cls: 1.1697, decode.d0.loss_mask: 0.4825, decode.d0.loss_dice: 0.7303, decode.d1.loss_cls: 0.2428, decode.d1.loss_mask: 0.4634, decode.d1.loss_dice: 0.7009, decode.d2.loss_cls: 0.2079, decode.d2.loss_mask: 0.4559, decode.d2.loss_dice: 0.6907, decode.d3.loss_cls: 0.1899, decode.d3.loss_mask: 0.4552, decode.d3.loss_dice: 0.6738, decode.d4.loss_cls: 0.1867, decode.d4.loss_mask: 0.4530, decode.d4.loss_dice: 0.6752, decode.d5.loss_cls: 0.1801, decode.d5.loss_mask: 0.4531, decode.d5.loss_dice: 0.6725, decode.d6.loss_cls: 0.1804, decode.d6.loss_mask: 0.4548, decode.d6.loss_dice: 0.6736, decode.d7.loss_cls: 0.1790, decode.d7.loss_mask: 0.4537, decode.d7.loss_dice: 0.6703, decode.d8.loss_cls: 0.1771, decode.d8.loss_mask: 0.4540, decode.d8.loss_dice: 0.6724, loss: 14.3010, grad_norm: 47.0783 2023-11-12 13:29:12,619 - mmseg - INFO - Iter [105750/160000] lr: 3.391e-05, eta: 7:33:26, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1742, decode.loss_mask: 0.4445, decode.loss_dice: 0.6634, decode.d0.loss_cls: 1.1550, decode.d0.loss_mask: 0.4800, decode.d0.loss_dice: 0.7215, decode.d1.loss_cls: 0.2395, decode.d1.loss_mask: 0.4609, decode.d1.loss_dice: 0.6965, decode.d2.loss_cls: 0.1992, decode.d2.loss_mask: 0.4526, decode.d2.loss_dice: 0.6822, decode.d3.loss_cls: 0.1858, decode.d3.loss_mask: 0.4491, decode.d3.loss_dice: 0.6683, decode.d4.loss_cls: 0.1826, decode.d4.loss_mask: 0.4485, decode.d4.loss_dice: 0.6671, decode.d5.loss_cls: 0.1767, decode.d5.loss_mask: 0.4467, decode.d5.loss_dice: 0.6666, decode.d6.loss_cls: 0.1816, decode.d6.loss_mask: 0.4466, decode.d6.loss_dice: 0.6602, decode.d7.loss_cls: 0.1724, decode.d7.loss_mask: 0.4478, decode.d7.loss_dice: 0.6620, decode.d8.loss_cls: 0.1692, decode.d8.loss_mask: 0.4464, decode.d8.loss_dice: 0.6625, loss: 14.1093, grad_norm: 45.1030 2023-11-12 13:29:36,437 - mmseg - INFO - Iter [105800/160000] lr: 3.388e-05, eta: 7:33:00, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1852, decode.loss_mask: 0.4430, decode.loss_dice: 0.6503, decode.d0.loss_cls: 1.1461, decode.d0.loss_mask: 0.4736, decode.d0.loss_dice: 0.7052, decode.d1.loss_cls: 0.2518, decode.d1.loss_mask: 0.4554, decode.d1.loss_dice: 0.6855, decode.d2.loss_cls: 0.2169, decode.d2.loss_mask: 0.4503, decode.d2.loss_dice: 0.6691, decode.d3.loss_cls: 0.1998, decode.d3.loss_mask: 0.4453, decode.d3.loss_dice: 0.6609, decode.d4.loss_cls: 0.1964, decode.d4.loss_mask: 0.4459, decode.d4.loss_dice: 0.6611, decode.d5.loss_cls: 0.1891, decode.d5.loss_mask: 0.4445, decode.d5.loss_dice: 0.6585, decode.d6.loss_cls: 0.1917, decode.d6.loss_mask: 0.4434, decode.d6.loss_dice: 0.6545, decode.d7.loss_cls: 0.1882, decode.d7.loss_mask: 0.4438, decode.d7.loss_dice: 0.6534, decode.d8.loss_cls: 0.1828, decode.d8.loss_mask: 0.4451, decode.d8.loss_dice: 0.6542, loss: 14.0909, grad_norm: 47.4075 2023-11-12 13:30:00,388 - mmseg - INFO - Iter [105850/160000] lr: 3.384e-05, eta: 7:32:34, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1928, decode.loss_mask: 0.4403, decode.loss_dice: 0.6717, decode.d0.loss_cls: 1.1595, decode.d0.loss_mask: 0.4744, decode.d0.loss_dice: 0.7308, decode.d1.loss_cls: 0.2660, decode.d1.loss_mask: 0.4541, decode.d1.loss_dice: 0.7043, decode.d2.loss_cls: 0.2256, decode.d2.loss_mask: 0.4472, decode.d2.loss_dice: 0.6904, decode.d3.loss_cls: 0.2112, decode.d3.loss_mask: 0.4439, decode.d3.loss_dice: 0.6751, decode.d4.loss_cls: 0.2024, decode.d4.loss_mask: 0.4419, decode.d4.loss_dice: 0.6755, decode.d5.loss_cls: 0.1968, decode.d5.loss_mask: 0.4409, decode.d5.loss_dice: 0.6751, decode.d6.loss_cls: 0.1975, decode.d6.loss_mask: 0.4421, decode.d6.loss_dice: 0.6727, decode.d7.loss_cls: 0.1941, decode.d7.loss_mask: 0.4414, decode.d7.loss_dice: 0.6715, decode.d8.loss_cls: 0.1936, decode.d8.loss_mask: 0.4409, decode.d8.loss_dice: 0.6746, loss: 14.3485, grad_norm: 49.2625 2023-11-12 13:30:24,342 - mmseg - INFO - Iter [105900/160000] lr: 3.381e-05, eta: 7:32:09, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1722, decode.loss_mask: 0.4401, decode.loss_dice: 0.6683, decode.d0.loss_cls: 1.1454, decode.d0.loss_mask: 0.4704, decode.d0.loss_dice: 0.7128, decode.d1.loss_cls: 0.2345, decode.d1.loss_mask: 0.4533, decode.d1.loss_dice: 0.6956, decode.d2.loss_cls: 0.2069, decode.d2.loss_mask: 0.4466, decode.d2.loss_dice: 0.6759, decode.d3.loss_cls: 0.1900, decode.d3.loss_mask: 0.4405, decode.d3.loss_dice: 0.6642, decode.d4.loss_cls: 0.1796, decode.d4.loss_mask: 0.4419, decode.d4.loss_dice: 0.6669, decode.d5.loss_cls: 0.1812, decode.d5.loss_mask: 0.4413, decode.d5.loss_dice: 0.6653, decode.d6.loss_cls: 0.1741, decode.d6.loss_mask: 0.4410, decode.d6.loss_dice: 0.6650, decode.d7.loss_cls: 0.1673, decode.d7.loss_mask: 0.4412, decode.d7.loss_dice: 0.6634, decode.d8.loss_cls: 0.1704, decode.d8.loss_mask: 0.4407, decode.d8.loss_dice: 0.6654, loss: 14.0214, grad_norm: 45.7879 2023-11-12 13:30:48,177 - mmseg - INFO - Iter [105950/160000] lr: 3.378e-05, eta: 7:31:43, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1789, decode.loss_mask: 0.4444, decode.loss_dice: 0.6746, decode.d0.loss_cls: 1.1573, decode.d0.loss_mask: 0.4763, decode.d0.loss_dice: 0.7306, decode.d1.loss_cls: 0.2376, decode.d1.loss_mask: 0.4558, decode.d1.loss_dice: 0.7052, decode.d2.loss_cls: 0.2051, decode.d2.loss_mask: 0.4511, decode.d2.loss_dice: 0.6906, decode.d3.loss_cls: 0.1929, decode.d3.loss_mask: 0.4478, decode.d3.loss_dice: 0.6786, decode.d4.loss_cls: 0.1864, decode.d4.loss_mask: 0.4478, decode.d4.loss_dice: 0.6789, decode.d5.loss_cls: 0.1830, decode.d5.loss_mask: 0.4454, decode.d5.loss_dice: 0.6756, decode.d6.loss_cls: 0.1783, decode.d6.loss_mask: 0.4453, decode.d6.loss_dice: 0.6711, decode.d7.loss_cls: 0.1787, decode.d7.loss_mask: 0.4433, decode.d7.loss_dice: 0.6720, decode.d8.loss_cls: 0.1759, decode.d8.loss_mask: 0.4435, decode.d8.loss_dice: 0.6744, loss: 14.2265, grad_norm: 50.6549 2023-11-12 13:31:12,019 - mmseg - INFO - Saving checkpoint at 106000 iterations 2023-11-12 13:31:15,774 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 13:31:15,774 - mmseg - INFO - Iter [106000/160000] lr: 3.375e-05, eta: 7:31:19, time: 0.552, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1863, decode.loss_mask: 0.4454, decode.loss_dice: 0.6824, decode.d0.loss_cls: 1.1543, decode.d0.loss_mask: 0.4766, decode.d0.loss_dice: 0.7458, decode.d1.loss_cls: 0.2554, decode.d1.loss_mask: 0.4602, decode.d1.loss_dice: 0.7050, decode.d2.loss_cls: 0.2153, decode.d2.loss_mask: 0.4539, decode.d2.loss_dice: 0.6974, decode.d3.loss_cls: 0.2005, decode.d3.loss_mask: 0.4503, decode.d3.loss_dice: 0.6859, decode.d4.loss_cls: 0.1913, decode.d4.loss_mask: 0.4483, decode.d4.loss_dice: 0.6878, decode.d5.loss_cls: 0.1916, decode.d5.loss_mask: 0.4475, decode.d5.loss_dice: 0.6883, decode.d6.loss_cls: 0.1872, decode.d6.loss_mask: 0.4469, decode.d6.loss_dice: 0.6824, decode.d7.loss_cls: 0.1852, decode.d7.loss_mask: 0.4468, decode.d7.loss_dice: 0.6847, decode.d8.loss_cls: 0.1846, decode.d8.loss_mask: 0.4454, decode.d8.loss_dice: 0.6838, loss: 14.4164, grad_norm: 50.3540 2023-11-12 13:31:35,079 - mmseg - INFO - per class results: 2023-11-12 13:31:35,084 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.72 | 86.37 | | building | 83.22 | 89.95 | | sky | 94.84 | 97.28 | | floor | 83.05 | 90.04 | | tree | 75.3 | 87.52 | | ceiling | 84.36 | 93.24 | | road | 85.45 | 91.08 | | bed | 91.03 | 95.87 | | windowpane | 64.25 | 82.53 | | grass | 62.02 | 71.0 | | cabinet | 63.72 | 76.02 | | sidewalk | 69.4 | 81.82 | | person | 84.73 | 93.6 | | earth | 38.52 | 58.29 | | door | 54.47 | 74.52 | | table | 65.17 | 80.72 | | mountain | 64.43 | 81.57 | | plant | 53.53 | 69.45 | | curtain | 77.48 | 87.22 | | chair | 63.42 | 78.22 | | car | 84.45 | 92.18 | | water | 50.7 | 60.88 | | painting | 74.64 | 89.32 | | sofa | 69.85 | 83.95 | | shelf | 40.03 | 57.66 | | house | 47.86 | 81.34 | | sea | 63.56 | 90.35 | | mirror | 70.8 | 81.12 | | rug | 67.0 | 80.52 | | field | 30.96 | 53.33 | | armchair | 48.5 | 64.22 | | seat | 61.8 | 78.71 | | fence | 52.26 | 67.36 | | desk | 56.84 | 76.79 | | rock | 42.48 | 66.5 | | wardrobe | 46.44 | 66.86 | | lamp | 70.35 | 83.56 | | bathtub | 76.42 | 86.33 | | railing | 35.49 | 54.96 | | cushion | 64.44 | 76.03 | | base | 39.81 | 67.49 | | box | 30.06 | 39.1 | | column | 41.77 | 61.71 | | signboard | 36.78 | 55.5 | | chest of drawers | 39.83 | 59.41 | | counter | 31.01 | 37.99 | | sand | 36.88 | 47.44 | | sink | 76.38 | 82.09 | | skyscraper | 36.23 | 43.8 | | fireplace | 71.11 | 90.03 | | refrigerator | 81.45 | 90.39 | | grandstand | 38.2 | 70.21 | | path | 30.75 | 41.85 | | stairs | 27.77 | 32.69 | | runway | 76.62 | 92.35 | | case | 58.92 | 75.85 | | pool table | 95.53 | 97.74 | | pillow | 62.55 | 80.99 | | screen door | 70.07 | 79.02 | | stairway | 32.53 | 48.58 | | river | 20.74 | 39.52 | | bridge | 70.81 | 91.88 | | bookcase | 34.56 | 63.37 | | blind | 45.97 | 49.47 | | coffee table | 65.65 | 85.15 | | toilet | 89.23 | 91.58 | | flower | 45.98 | 66.13 | | book | 50.87 | 75.87 | | hill | 5.1 | 9.12 | | bench | 62.06 | 73.16 | | countertop | 61.89 | 80.27 | | stove | 80.72 | 87.55 | | palm | 56.37 | 71.62 | | kitchen island | 39.16 | 76.59 | | computer | 69.26 | 76.03 | | swivel chair | 47.3 | 73.59 | | boat | 49.31 | 55.85 | | bar | 40.53 | 48.97 | | arcade machine | 88.73 | 97.57 | | hovel | 31.5 | 48.78 | | bus | 93.73 | 96.95 | | towel | 63.32 | 80.72 | | light | 63.6 | 78.68 | | truck | 33.01 | 56.52 | | tower | 21.15 | 38.61 | | chandelier | 71.41 | 84.81 | | awning | 39.8 | 49.17 | | streetlight | 42.98 | 59.25 | | booth | 29.27 | 61.53 | | television receiver | 71.29 | 79.01 | | airplane | 66.82 | 82.78 | | dirt track | 6.85 | 22.51 | | apparel | 34.83 | 48.59 | | pole | 30.76 | 48.66 | | land | 5.15 | 10.88 | | bannister | 19.56 | 28.86 | | escalator | 19.47 | 20.34 | | ottoman | 58.96 | 74.02 | | bottle | 30.28 | 36.4 | | buffet | 42.66 | 53.64 | | poster | 18.0 | 32.03 | | stage | 14.06 | 34.58 | | van | 52.34 | 70.19 | | ship | 8.33 | 16.91 | | fountain | 17.6 | 21.79 | | conveyer belt | 56.9 | 94.78 | | canopy | 27.25 | 40.08 | | washer | 71.08 | 73.67 | | plaything | 39.88 | 60.85 | | swimming pool | 50.01 | 62.43 | | stool | 50.4 | 76.5 | | barrel | 80.2 | 98.1 | | basket | 37.48 | 45.45 | | waterfall | 68.0 | 94.75 | | tent | 95.86 | 98.17 | | bag | 21.44 | 27.07 | | minibike | 75.42 | 91.41 | | cradle | 86.11 | 97.59 | | oven | 23.92 | 67.67 | | ball | 48.47 | 59.77 | | food | 65.07 | 86.0 | | step | 20.11 | 27.15 | | tank | 46.79 | 66.14 | | trade name | 25.62 | 29.95 | | microwave | 41.71 | 45.85 | | pot | 51.85 | 59.49 | | animal | 57.76 | 59.75 | | bicycle | 58.38 | 80.72 | | lake | 39.22 | 63.61 | | dishwasher | 79.25 | 84.86 | | screen | 54.48 | 82.15 | | blanket | 29.99 | 37.03 | | sculpture | 68.6 | 87.43 | | hood | 76.98 | 93.8 | | sconce | 54.01 | 70.74 | | vase | 49.36 | 67.57 | | traffic light | 40.93 | 68.66 | | tray | 16.19 | 30.74 | | ashcan | 55.02 | 69.2 | | fan | 71.99 | 85.7 | | pier | 28.27 | 43.7 | | crt screen | 4.39 | 14.62 | | plate | 58.67 | 75.13 | | monitor | 11.64 | 15.18 | | bulletin board | 48.27 | 67.91 | | shower | 12.02 | 22.7 | | radiator | 71.66 | 84.02 | | glass | 21.97 | 23.8 | | clock | 56.22 | 68.96 | | flag | 47.24 | 53.52 | +---------------------+-------+-------+ 2023-11-12 13:31:35,084 - mmseg - INFO - Summary: 2023-11-12 13:31:35,084 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.79 | 52.09 | 66.38 | +-------+-------+-------+ 2023-11-12 13:31:35,085 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 13:31:35,085 - mmseg - INFO - Iter(val) [250] aAcc: 0.8379, mIoU: 0.5209, mAcc: 0.6638, IoU.wall: 0.7872, IoU.building: 0.8322, IoU.sky: 0.9484, IoU.floor: 0.8305, IoU.tree: 0.7530, IoU.ceiling: 0.8436, IoU.road: 0.8545, IoU.bed : 0.9103, IoU.windowpane: 0.6425, IoU.grass: 0.6202, IoU.cabinet: 0.6372, IoU.sidewalk: 0.6940, IoU.person: 0.8473, IoU.earth: 0.3852, IoU.door: 0.5447, IoU.table: 0.6517, IoU.mountain: 0.6443, IoU.plant: 0.5353, IoU.curtain: 0.7748, IoU.chair: 0.6342, IoU.car: 0.8445, IoU.water: 0.5070, IoU.painting: 0.7464, IoU.sofa: 0.6985, IoU.shelf: 0.4003, IoU.house: 0.4786, IoU.sea: 0.6356, IoU.mirror: 0.7080, IoU.rug: 0.6700, IoU.field: 0.3096, IoU.armchair: 0.4850, IoU.seat: 0.6180, IoU.fence: 0.5226, IoU.desk: 0.5684, IoU.rock: 0.4248, IoU.wardrobe: 0.4644, IoU.lamp: 0.7035, IoU.bathtub: 0.7642, IoU.railing: 0.3549, IoU.cushion: 0.6444, IoU.base: 0.3981, IoU.box: 0.3006, IoU.column: 0.4177, IoU.signboard: 0.3678, IoU.chest of drawers: 0.3983, IoU.counter: 0.3101, IoU.sand: 0.3688, IoU.sink: 0.7638, IoU.skyscraper: 0.3623, IoU.fireplace: 0.7111, IoU.refrigerator: 0.8145, IoU.grandstand: 0.3820, IoU.path: 0.3075, IoU.stairs: 0.2777, IoU.runway: 0.7662, IoU.case: 0.5892, IoU.pool table: 0.9553, IoU.pillow: 0.6255, IoU.screen door: 0.7007, IoU.stairway: 0.3253, IoU.river: 0.2074, IoU.bridge: 0.7081, IoU.bookcase: 0.3456, IoU.blind: 0.4597, IoU.coffee table: 0.6565, IoU.toilet: 0.8923, IoU.flower: 0.4598, IoU.book: 0.5087, IoU.hill: 0.0510, IoU.bench: 0.6206, IoU.countertop: 0.6189, IoU.stove: 0.8072, IoU.palm: 0.5637, IoU.kitchen island: 0.3916, IoU.computer: 0.6926, IoU.swivel chair: 0.4730, IoU.boat: 0.4931, IoU.bar: 0.4053, IoU.arcade machine: 0.8873, IoU.hovel: 0.3150, IoU.bus: 0.9373, IoU.towel: 0.6332, IoU.light: 0.6360, IoU.truck: 0.3301, IoU.tower: 0.2115, IoU.chandelier: 0.7141, IoU.awning: 0.3980, IoU.streetlight: 0.4298, IoU.booth: 0.2927, IoU.television receiver: 0.7129, IoU.airplane: 0.6682, IoU.dirt track: 0.0685, IoU.apparel: 0.3483, IoU.pole: 0.3076, IoU.land: 0.0515, IoU.bannister: 0.1956, IoU.escalator: 0.1947, IoU.ottoman: 0.5896, IoU.bottle: 0.3028, IoU.buffet: 0.4266, IoU.poster: 0.1800, IoU.stage: 0.1406, IoU.van: 0.5234, IoU.ship: 0.0833, IoU.fountain: 0.1760, IoU.conveyer belt: 0.5690, IoU.canopy: 0.2725, IoU.washer: 0.7108, IoU.plaything: 0.3988, IoU.swimming pool: 0.5001, IoU.stool: 0.5040, IoU.barrel: 0.8020, IoU.basket: 0.3748, IoU.waterfall: 0.6800, IoU.tent: 0.9586, IoU.bag: 0.2144, IoU.minibike: 0.7542, IoU.cradle: 0.8611, IoU.oven: 0.2392, IoU.ball: 0.4847, IoU.food: 0.6507, IoU.step: 0.2011, IoU.tank: 0.4679, IoU.trade name: 0.2562, IoU.microwave: 0.4171, IoU.pot: 0.5185, IoU.animal: 0.5776, IoU.bicycle: 0.5838, IoU.lake: 0.3922, IoU.dishwasher: 0.7925, IoU.screen: 0.5448, IoU.blanket: 0.2999, IoU.sculpture: 0.6860, IoU.hood: 0.7698, IoU.sconce: 0.5401, IoU.vase: 0.4936, IoU.traffic light: 0.4093, IoU.tray: 0.1619, IoU.ashcan: 0.5502, IoU.fan: 0.7199, IoU.pier: 0.2827, IoU.crt screen: 0.0439, IoU.plate: 0.5867, IoU.monitor: 0.1164, IoU.bulletin board: 0.4827, IoU.shower: 0.1202, IoU.radiator: 0.7166, IoU.glass: 0.2197, IoU.clock: 0.5622, IoU.flag: 0.4724, Acc.wall: 0.8637, Acc.building: 0.8995, Acc.sky: 0.9728, Acc.floor: 0.9004, Acc.tree: 0.8752, Acc.ceiling: 0.9324, Acc.road: 0.9108, Acc.bed : 0.9587, Acc.windowpane: 0.8253, Acc.grass: 0.7100, Acc.cabinet: 0.7602, Acc.sidewalk: 0.8182, Acc.person: 0.9360, Acc.earth: 0.5829, Acc.door: 0.7452, Acc.table: 0.8072, Acc.mountain: 0.8157, Acc.plant: 0.6945, Acc.curtain: 0.8722, Acc.chair: 0.7822, Acc.car: 0.9218, Acc.water: 0.6088, Acc.painting: 0.8932, Acc.sofa: 0.8395, Acc.shelf: 0.5766, Acc.house: 0.8134, Acc.sea: 0.9035, Acc.mirror: 0.8112, Acc.rug: 0.8052, Acc.field: 0.5333, Acc.armchair: 0.6422, Acc.seat: 0.7871, Acc.fence: 0.6736, Acc.desk: 0.7679, Acc.rock: 0.6650, Acc.wardrobe: 0.6686, Acc.lamp: 0.8356, Acc.bathtub: 0.8633, Acc.railing: 0.5496, Acc.cushion: 0.7603, Acc.base: 0.6749, Acc.box: 0.3910, Acc.column: 0.6171, Acc.signboard: 0.5550, Acc.chest of drawers: 0.5941, Acc.counter: 0.3799, Acc.sand: 0.4744, Acc.sink: 0.8209, Acc.skyscraper: 0.4380, Acc.fireplace: 0.9003, Acc.refrigerator: 0.9039, Acc.grandstand: 0.7021, Acc.path: 0.4185, Acc.stairs: 0.3269, Acc.runway: 0.9235, Acc.case: 0.7585, Acc.pool table: 0.9774, Acc.pillow: 0.8099, Acc.screen door: 0.7902, Acc.stairway: 0.4858, Acc.river: 0.3952, Acc.bridge: 0.9188, Acc.bookcase: 0.6337, Acc.blind: 0.4947, Acc.coffee table: 0.8515, Acc.toilet: 0.9158, Acc.flower: 0.6613, Acc.book: 0.7587, Acc.hill: 0.0912, Acc.bench: 0.7316, Acc.countertop: 0.8027, Acc.stove: 0.8755, Acc.palm: 0.7162, Acc.kitchen island: 0.7659, Acc.computer: 0.7603, Acc.swivel chair: 0.7359, Acc.boat: 0.5585, Acc.bar: 0.4897, Acc.arcade machine: 0.9757, Acc.hovel: 0.4878, Acc.bus: 0.9695, Acc.towel: 0.8072, Acc.light: 0.7868, Acc.truck: 0.5652, Acc.tower: 0.3861, Acc.chandelier: 0.8481, Acc.awning: 0.4917, Acc.streetlight: 0.5925, Acc.booth: 0.6153, Acc.television receiver: 0.7901, Acc.airplane: 0.8278, Acc.dirt track: 0.2251, Acc.apparel: 0.4859, Acc.pole: 0.4866, Acc.land: 0.1088, Acc.bannister: 0.2886, Acc.escalator: 0.2034, Acc.ottoman: 0.7402, Acc.bottle: 0.3640, Acc.buffet: 0.5364, Acc.poster: 0.3203, Acc.stage: 0.3458, Acc.van: 0.7019, Acc.ship: 0.1691, Acc.fountain: 0.2179, Acc.conveyer belt: 0.9478, Acc.canopy: 0.4008, Acc.washer: 0.7367, Acc.plaything: 0.6085, Acc.swimming pool: 0.6243, Acc.stool: 0.7650, Acc.barrel: 0.9810, Acc.basket: 0.4545, Acc.waterfall: 0.9475, Acc.tent: 0.9817, Acc.bag: 0.2707, Acc.minibike: 0.9141, Acc.cradle: 0.9759, Acc.oven: 0.6767, Acc.ball: 0.5977, Acc.food: 0.8600, Acc.step: 0.2715, Acc.tank: 0.6614, Acc.trade name: 0.2995, Acc.microwave: 0.4585, Acc.pot: 0.5949, Acc.animal: 0.5975, Acc.bicycle: 0.8072, Acc.lake: 0.6361, Acc.dishwasher: 0.8486, Acc.screen: 0.8215, Acc.blanket: 0.3703, Acc.sculpture: 0.8743, Acc.hood: 0.9380, Acc.sconce: 0.7074, Acc.vase: 0.6757, Acc.traffic light: 0.6866, Acc.tray: 0.3074, Acc.ashcan: 0.6920, Acc.fan: 0.8570, Acc.pier: 0.4370, Acc.crt screen: 0.1462, Acc.plate: 0.7513, Acc.monitor: 0.1518, Acc.bulletin board: 0.6791, Acc.shower: 0.2270, Acc.radiator: 0.8402, Acc.glass: 0.2380, Acc.clock: 0.6896, Acc.flag: 0.5352 2023-11-12 13:31:58,917 - mmseg - INFO - Iter [106050/160000] lr: 3.372e-05, eta: 7:31:03, time: 0.863, data_time: 0.399, memory: 41146, decode.loss_cls: 0.1858, decode.loss_mask: 0.4392, decode.loss_dice: 0.6826, decode.d0.loss_cls: 1.1723, decode.d0.loss_mask: 0.4727, decode.d0.loss_dice: 0.7471, decode.d1.loss_cls: 0.2534, decode.d1.loss_mask: 0.4532, decode.d1.loss_dice: 0.7140, decode.d2.loss_cls: 0.2235, decode.d2.loss_mask: 0.4452, decode.d2.loss_dice: 0.6982, decode.d3.loss_cls: 0.2045, decode.d3.loss_mask: 0.4410, decode.d3.loss_dice: 0.6905, decode.d4.loss_cls: 0.1922, decode.d4.loss_mask: 0.4389, decode.d4.loss_dice: 0.6860, decode.d5.loss_cls: 0.1892, decode.d5.loss_mask: 0.4386, decode.d5.loss_dice: 0.6869, decode.d6.loss_cls: 0.1903, decode.d6.loss_mask: 0.4396, decode.d6.loss_dice: 0.6825, decode.d7.loss_cls: 0.1902, decode.d7.loss_mask: 0.4383, decode.d7.loss_dice: 0.6827, decode.d8.loss_cls: 0.1874, decode.d8.loss_mask: 0.4400, decode.d8.loss_dice: 0.6808, loss: 14.3870, grad_norm: 45.0128 2023-11-12 13:32:24,978 - mmseg - INFO - Iter [106100/160000] lr: 3.369e-05, eta: 7:30:39, time: 0.521, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1844, decode.loss_mask: 0.4376, decode.loss_dice: 0.6692, decode.d0.loss_cls: 1.1759, decode.d0.loss_mask: 0.4693, decode.d0.loss_dice: 0.7330, decode.d1.loss_cls: 0.2548, decode.d1.loss_mask: 0.4496, decode.d1.loss_dice: 0.6995, decode.d2.loss_cls: 0.2118, decode.d2.loss_mask: 0.4455, decode.d2.loss_dice: 0.6868, decode.d3.loss_cls: 0.2069, decode.d3.loss_mask: 0.4403, decode.d3.loss_dice: 0.6725, decode.d4.loss_cls: 0.2004, decode.d4.loss_mask: 0.4385, decode.d4.loss_dice: 0.6718, decode.d5.loss_cls: 0.1923, decode.d5.loss_mask: 0.4392, decode.d5.loss_dice: 0.6721, decode.d6.loss_cls: 0.1904, decode.d6.loss_mask: 0.4387, decode.d6.loss_dice: 0.6645, decode.d7.loss_cls: 0.1869, decode.d7.loss_mask: 0.4397, decode.d7.loss_dice: 0.6649, decode.d8.loss_cls: 0.1850, decode.d8.loss_mask: 0.4380, decode.d8.loss_dice: 0.6690, loss: 14.2287, grad_norm: 48.2179 2023-11-12 13:32:48,672 - mmseg - INFO - Iter [106150/160000] lr: 3.366e-05, eta: 7:30:13, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1789, decode.loss_mask: 0.4477, decode.loss_dice: 0.6666, decode.d0.loss_cls: 1.1307, decode.d0.loss_mask: 0.4842, decode.d0.loss_dice: 0.7301, decode.d1.loss_cls: 0.2318, decode.d1.loss_mask: 0.4625, decode.d1.loss_dice: 0.7035, decode.d2.loss_cls: 0.2059, decode.d2.loss_mask: 0.4538, decode.d2.loss_dice: 0.6880, decode.d3.loss_cls: 0.1917, decode.d3.loss_mask: 0.4501, decode.d3.loss_dice: 0.6755, decode.d4.loss_cls: 0.1871, decode.d4.loss_mask: 0.4496, decode.d4.loss_dice: 0.6717, decode.d5.loss_cls: 0.1811, decode.d5.loss_mask: 0.4490, decode.d5.loss_dice: 0.6670, decode.d6.loss_cls: 0.1798, decode.d6.loss_mask: 0.4494, decode.d6.loss_dice: 0.6682, decode.d7.loss_cls: 0.1739, decode.d7.loss_mask: 0.4483, decode.d7.loss_dice: 0.6719, decode.d8.loss_cls: 0.1761, decode.d8.loss_mask: 0.4485, decode.d8.loss_dice: 0.6704, loss: 14.1928, grad_norm: 46.8540 2023-11-12 13:33:12,622 - mmseg - INFO - Iter [106200/160000] lr: 3.363e-05, eta: 7:29:47, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1749, decode.loss_mask: 0.4484, decode.loss_dice: 0.6634, decode.d0.loss_cls: 1.1403, decode.d0.loss_mask: 0.4843, decode.d0.loss_dice: 0.7284, decode.d1.loss_cls: 0.2441, decode.d1.loss_mask: 0.4676, decode.d1.loss_dice: 0.7018, decode.d2.loss_cls: 0.2055, decode.d2.loss_mask: 0.4550, decode.d2.loss_dice: 0.6811, decode.d3.loss_cls: 0.1945, decode.d3.loss_mask: 0.4498, decode.d3.loss_dice: 0.6648, decode.d4.loss_cls: 0.1831, decode.d4.loss_mask: 0.4495, decode.d4.loss_dice: 0.6666, decode.d5.loss_cls: 0.1817, decode.d5.loss_mask: 0.4490, decode.d5.loss_dice: 0.6627, decode.d6.loss_cls: 0.1824, decode.d6.loss_mask: 0.4484, decode.d6.loss_dice: 0.6591, decode.d7.loss_cls: 0.1766, decode.d7.loss_mask: 0.4480, decode.d7.loss_dice: 0.6625, decode.d8.loss_cls: 0.1757, decode.d8.loss_mask: 0.4488, decode.d8.loss_dice: 0.6657, loss: 14.1636, grad_norm: 43.8528 2023-11-12 13:33:36,524 - mmseg - INFO - Iter [106250/160000] lr: 3.359e-05, eta: 7:29:22, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1745, decode.loss_mask: 0.4417, decode.loss_dice: 0.6650, decode.d0.loss_cls: 1.1284, decode.d0.loss_mask: 0.4744, decode.d0.loss_dice: 0.7182, decode.d1.loss_cls: 0.2319, decode.d1.loss_mask: 0.4565, decode.d1.loss_dice: 0.7009, decode.d2.loss_cls: 0.2033, decode.d2.loss_mask: 0.4478, decode.d2.loss_dice: 0.6806, decode.d3.loss_cls: 0.1891, decode.d3.loss_mask: 0.4470, decode.d3.loss_dice: 0.6719, decode.d4.loss_cls: 0.1887, decode.d4.loss_mask: 0.4447, decode.d4.loss_dice: 0.6721, decode.d5.loss_cls: 0.1777, decode.d5.loss_mask: 0.4449, decode.d5.loss_dice: 0.6732, decode.d6.loss_cls: 0.1809, decode.d6.loss_mask: 0.4432, decode.d6.loss_dice: 0.6639, decode.d7.loss_cls: 0.1792, decode.d7.loss_mask: 0.4432, decode.d7.loss_dice: 0.6649, decode.d8.loss_cls: 0.1796, decode.d8.loss_mask: 0.4426, decode.d8.loss_dice: 0.6637, loss: 14.0941, grad_norm: 51.1740 2023-11-12 13:34:00,466 - mmseg - INFO - Iter [106300/160000] lr: 3.356e-05, eta: 7:28:56, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1808, decode.loss_mask: 0.4521, decode.loss_dice: 0.6656, decode.d0.loss_cls: 1.1451, decode.d0.loss_mask: 0.4831, decode.d0.loss_dice: 0.7246, decode.d1.loss_cls: 0.2421, decode.d1.loss_mask: 0.4666, decode.d1.loss_dice: 0.7031, decode.d2.loss_cls: 0.2132, decode.d2.loss_mask: 0.4569, decode.d2.loss_dice: 0.6819, decode.d3.loss_cls: 0.1996, decode.d3.loss_mask: 0.4541, decode.d3.loss_dice: 0.6706, decode.d4.loss_cls: 0.1920, decode.d4.loss_mask: 0.4523, decode.d4.loss_dice: 0.6696, decode.d5.loss_cls: 0.1889, decode.d5.loss_mask: 0.4516, decode.d5.loss_dice: 0.6702, decode.d6.loss_cls: 0.1864, decode.d6.loss_mask: 0.4510, decode.d6.loss_dice: 0.6635, decode.d7.loss_cls: 0.1801, decode.d7.loss_mask: 0.4517, decode.d7.loss_dice: 0.6675, decode.d8.loss_cls: 0.1807, decode.d8.loss_mask: 0.4524, decode.d8.loss_dice: 0.6685, loss: 14.2659, grad_norm: 45.6637 2023-11-12 13:34:24,114 - mmseg - INFO - Iter [106350/160000] lr: 3.353e-05, eta: 7:28:30, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1641, decode.loss_mask: 0.4421, decode.loss_dice: 0.6588, decode.d0.loss_cls: 1.1176, decode.d0.loss_mask: 0.4779, decode.d0.loss_dice: 0.7178, decode.d1.loss_cls: 0.2267, decode.d1.loss_mask: 0.4544, decode.d1.loss_dice: 0.6916, decode.d2.loss_cls: 0.2009, decode.d2.loss_mask: 0.4480, decode.d2.loss_dice: 0.6751, decode.d3.loss_cls: 0.1864, decode.d3.loss_mask: 0.4446, decode.d3.loss_dice: 0.6639, decode.d4.loss_cls: 0.1769, decode.d4.loss_mask: 0.4420, decode.d4.loss_dice: 0.6626, decode.d5.loss_cls: 0.1739, decode.d5.loss_mask: 0.4405, decode.d5.loss_dice: 0.6580, decode.d6.loss_cls: 0.1668, decode.d6.loss_mask: 0.4431, decode.d6.loss_dice: 0.6570, decode.d7.loss_cls: 0.1696, decode.d7.loss_mask: 0.4427, decode.d7.loss_dice: 0.6590, decode.d8.loss_cls: 0.1700, decode.d8.loss_mask: 0.4419, decode.d8.loss_dice: 0.6603, loss: 13.9343, grad_norm: 52.0707 2023-11-12 13:34:47,933 - mmseg - INFO - Iter [106400/160000] lr: 3.350e-05, eta: 7:28:04, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1701, decode.loss_mask: 0.4400, decode.loss_dice: 0.6750, decode.d0.loss_cls: 1.1672, decode.d0.loss_mask: 0.4730, decode.d0.loss_dice: 0.7257, decode.d1.loss_cls: 0.2432, decode.d1.loss_mask: 0.4528, decode.d1.loss_dice: 0.7051, decode.d2.loss_cls: 0.2049, decode.d2.loss_mask: 0.4463, decode.d2.loss_dice: 0.6894, decode.d3.loss_cls: 0.1887, decode.d3.loss_mask: 0.4433, decode.d3.loss_dice: 0.6791, decode.d4.loss_cls: 0.1858, decode.d4.loss_mask: 0.4421, decode.d4.loss_dice: 0.6720, decode.d5.loss_cls: 0.1806, decode.d5.loss_mask: 0.4433, decode.d5.loss_dice: 0.6742, decode.d6.loss_cls: 0.1773, decode.d6.loss_mask: 0.4412, decode.d6.loss_dice: 0.6734, decode.d7.loss_cls: 0.1705, decode.d7.loss_mask: 0.4414, decode.d7.loss_dice: 0.6732, decode.d8.loss_cls: 0.1707, decode.d8.loss_mask: 0.4412, decode.d8.loss_dice: 0.6733, loss: 14.1640, grad_norm: 46.2063 2023-11-12 13:35:12,135 - mmseg - INFO - Iter [106450/160000] lr: 3.347e-05, eta: 7:27:39, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1714, decode.loss_mask: 0.4241, decode.loss_dice: 0.6561, decode.d0.loss_cls: 1.1685, decode.d0.loss_mask: 0.4599, decode.d0.loss_dice: 0.7169, decode.d1.loss_cls: 0.2432, decode.d1.loss_mask: 0.4387, decode.d1.loss_dice: 0.6892, decode.d2.loss_cls: 0.2129, decode.d2.loss_mask: 0.4294, decode.d2.loss_dice: 0.6735, decode.d3.loss_cls: 0.1941, decode.d3.loss_mask: 0.4267, decode.d3.loss_dice: 0.6638, decode.d4.loss_cls: 0.1812, decode.d4.loss_mask: 0.4265, decode.d4.loss_dice: 0.6611, decode.d5.loss_cls: 0.1789, decode.d5.loss_mask: 0.4266, decode.d5.loss_dice: 0.6603, decode.d6.loss_cls: 0.1755, decode.d6.loss_mask: 0.4241, decode.d6.loss_dice: 0.6577, decode.d7.loss_cls: 0.1788, decode.d7.loss_mask: 0.4241, decode.d7.loss_dice: 0.6558, decode.d8.loss_cls: 0.1709, decode.d8.loss_mask: 0.4240, decode.d8.loss_dice: 0.6557, loss: 13.8696, grad_norm: 44.4465 2023-11-12 13:35:36,345 - mmseg - INFO - Iter [106500/160000] lr: 3.344e-05, eta: 7:27:13, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1836, decode.loss_mask: 0.4332, decode.loss_dice: 0.6590, decode.d0.loss_cls: 1.1427, decode.d0.loss_mask: 0.4637, decode.d0.loss_dice: 0.7206, decode.d1.loss_cls: 0.2580, decode.d1.loss_mask: 0.4430, decode.d1.loss_dice: 0.6881, decode.d2.loss_cls: 0.2185, decode.d2.loss_mask: 0.4389, decode.d2.loss_dice: 0.6770, decode.d3.loss_cls: 0.2018, decode.d3.loss_mask: 0.4361, decode.d3.loss_dice: 0.6642, decode.d4.loss_cls: 0.1981, decode.d4.loss_mask: 0.4341, decode.d4.loss_dice: 0.6608, decode.d5.loss_cls: 0.1978, decode.d5.loss_mask: 0.4334, decode.d5.loss_dice: 0.6585, decode.d6.loss_cls: 0.1947, decode.d6.loss_mask: 0.4323, decode.d6.loss_dice: 0.6598, decode.d7.loss_cls: 0.1917, decode.d7.loss_mask: 0.4341, decode.d7.loss_dice: 0.6583, decode.d8.loss_cls: 0.1892, decode.d8.loss_mask: 0.4327, decode.d8.loss_dice: 0.6589, loss: 14.0628, grad_norm: 41.7443 2023-11-12 13:36:00,121 - mmseg - INFO - Iter [106550/160000] lr: 3.341e-05, eta: 7:26:48, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1870, decode.loss_mask: 0.4476, decode.loss_dice: 0.6812, decode.d0.loss_cls: 1.1614, decode.d0.loss_mask: 0.4804, decode.d0.loss_dice: 0.7351, decode.d1.loss_cls: 0.2427, decode.d1.loss_mask: 0.4622, decode.d1.loss_dice: 0.7144, decode.d2.loss_cls: 0.2151, decode.d2.loss_mask: 0.4547, decode.d2.loss_dice: 0.7012, decode.d3.loss_cls: 0.2045, decode.d3.loss_mask: 0.4489, decode.d3.loss_dice: 0.6869, decode.d4.loss_cls: 0.1926, decode.d4.loss_mask: 0.4487, decode.d4.loss_dice: 0.6834, decode.d5.loss_cls: 0.1909, decode.d5.loss_mask: 0.4491, decode.d5.loss_dice: 0.6857, decode.d6.loss_cls: 0.1921, decode.d6.loss_mask: 0.4487, decode.d6.loss_dice: 0.6843, decode.d7.loss_cls: 0.1906, decode.d7.loss_mask: 0.4466, decode.d7.loss_dice: 0.6850, decode.d8.loss_cls: 0.1883, decode.d8.loss_mask: 0.4462, decode.d8.loss_dice: 0.6836, loss: 14.4388, grad_norm: 48.5537 2023-11-12 13:36:24,112 - mmseg - INFO - Iter [106600/160000] lr: 3.338e-05, eta: 7:26:22, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1870, decode.loss_mask: 0.4367, decode.loss_dice: 0.6873, decode.d0.loss_cls: 1.1998, decode.d0.loss_mask: 0.4682, decode.d0.loss_dice: 0.7475, decode.d1.loss_cls: 0.2472, decode.d1.loss_mask: 0.4510, decode.d1.loss_dice: 0.7125, decode.d2.loss_cls: 0.2166, decode.d2.loss_mask: 0.4415, decode.d2.loss_dice: 0.7019, decode.d3.loss_cls: 0.2072, decode.d3.loss_mask: 0.4381, decode.d3.loss_dice: 0.6885, decode.d4.loss_cls: 0.1978, decode.d4.loss_mask: 0.4373, decode.d4.loss_dice: 0.6882, decode.d5.loss_cls: 0.1944, decode.d5.loss_mask: 0.4381, decode.d5.loss_dice: 0.6906, decode.d6.loss_cls: 0.1908, decode.d6.loss_mask: 0.4362, decode.d6.loss_dice: 0.6852, decode.d7.loss_cls: 0.1864, decode.d7.loss_mask: 0.4375, decode.d7.loss_dice: 0.6848, decode.d8.loss_cls: 0.1919, decode.d8.loss_mask: 0.4362, decode.d8.loss_dice: 0.6853, loss: 14.4114, grad_norm: 46.7661 2023-11-12 13:36:47,989 - mmseg - INFO - Iter [106650/160000] lr: 3.334e-05, eta: 7:25:56, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1672, decode.loss_mask: 0.4398, decode.loss_dice: 0.6528, decode.d0.loss_cls: 1.1489, decode.d0.loss_mask: 0.4739, decode.d0.loss_dice: 0.7129, decode.d1.loss_cls: 0.2345, decode.d1.loss_mask: 0.4562, decode.d1.loss_dice: 0.6881, decode.d2.loss_cls: 0.1991, decode.d2.loss_mask: 0.4460, decode.d2.loss_dice: 0.6747, decode.d3.loss_cls: 0.1843, decode.d3.loss_mask: 0.4435, decode.d3.loss_dice: 0.6610, decode.d4.loss_cls: 0.1758, decode.d4.loss_mask: 0.4437, decode.d4.loss_dice: 0.6595, decode.d5.loss_cls: 0.1739, decode.d5.loss_mask: 0.4424, decode.d5.loss_dice: 0.6622, decode.d6.loss_cls: 0.1740, decode.d6.loss_mask: 0.4415, decode.d6.loss_dice: 0.6529, decode.d7.loss_cls: 0.1705, decode.d7.loss_mask: 0.4406, decode.d7.loss_dice: 0.6504, decode.d8.loss_cls: 0.1702, decode.d8.loss_mask: 0.4407, decode.d8.loss_dice: 0.6563, loss: 13.9374, grad_norm: 49.2410 2023-11-12 13:37:11,810 - mmseg - INFO - Iter [106700/160000] lr: 3.331e-05, eta: 7:25:31, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1829, decode.loss_mask: 0.4435, decode.loss_dice: 0.6681, decode.d0.loss_cls: 1.1656, decode.d0.loss_mask: 0.4742, decode.d0.loss_dice: 0.7294, decode.d1.loss_cls: 0.2596, decode.d1.loss_mask: 0.4559, decode.d1.loss_dice: 0.7022, decode.d2.loss_cls: 0.2171, decode.d2.loss_mask: 0.4470, decode.d2.loss_dice: 0.6869, decode.d3.loss_cls: 0.2093, decode.d3.loss_mask: 0.4462, decode.d3.loss_dice: 0.6725, decode.d4.loss_cls: 0.1961, decode.d4.loss_mask: 0.4449, decode.d4.loss_dice: 0.6716, decode.d5.loss_cls: 0.1915, decode.d5.loss_mask: 0.4444, decode.d5.loss_dice: 0.6731, decode.d6.loss_cls: 0.1902, decode.d6.loss_mask: 0.4431, decode.d6.loss_dice: 0.6698, decode.d7.loss_cls: 0.1825, decode.d7.loss_mask: 0.4431, decode.d7.loss_dice: 0.6706, decode.d8.loss_cls: 0.1869, decode.d8.loss_mask: 0.4429, decode.d8.loss_dice: 0.6721, loss: 14.2832, grad_norm: 49.7162 2023-11-12 13:37:35,760 - mmseg - INFO - Iter [106750/160000] lr: 3.328e-05, eta: 7:25:05, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1826, decode.loss_mask: 0.4443, decode.loss_dice: 0.6787, decode.d0.loss_cls: 1.1482, decode.d0.loss_mask: 0.4772, decode.d0.loss_dice: 0.7389, decode.d1.loss_cls: 0.2453, decode.d1.loss_mask: 0.4601, decode.d1.loss_dice: 0.7113, decode.d2.loss_cls: 0.2149, decode.d2.loss_mask: 0.4527, decode.d2.loss_dice: 0.6942, decode.d3.loss_cls: 0.2003, decode.d3.loss_mask: 0.4477, decode.d3.loss_dice: 0.6824, decode.d4.loss_cls: 0.1905, decode.d4.loss_mask: 0.4465, decode.d4.loss_dice: 0.6819, decode.d5.loss_cls: 0.1894, decode.d5.loss_mask: 0.4460, decode.d5.loss_dice: 0.6816, decode.d6.loss_cls: 0.1906, decode.d6.loss_mask: 0.4463, decode.d6.loss_dice: 0.6774, decode.d7.loss_cls: 0.1881, decode.d7.loss_mask: 0.4450, decode.d7.loss_dice: 0.6730, decode.d8.loss_cls: 0.1854, decode.d8.loss_mask: 0.4448, decode.d8.loss_dice: 0.6780, loss: 14.3434, grad_norm: 49.2460 2023-11-12 13:37:59,644 - mmseg - INFO - Iter [106800/160000] lr: 3.325e-05, eta: 7:24:39, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1798, decode.loss_mask: 0.4263, decode.loss_dice: 0.6628, decode.d0.loss_cls: 1.1671, decode.d0.loss_mask: 0.4587, decode.d0.loss_dice: 0.7246, decode.d1.loss_cls: 0.2568, decode.d1.loss_mask: 0.4364, decode.d1.loss_dice: 0.6954, decode.d2.loss_cls: 0.2179, decode.d2.loss_mask: 0.4315, decode.d2.loss_dice: 0.6792, decode.d3.loss_cls: 0.2017, decode.d3.loss_mask: 0.4282, decode.d3.loss_dice: 0.6695, decode.d4.loss_cls: 0.1901, decode.d4.loss_mask: 0.4275, decode.d4.loss_dice: 0.6646, decode.d5.loss_cls: 0.1850, decode.d5.loss_mask: 0.4282, decode.d5.loss_dice: 0.6674, decode.d6.loss_cls: 0.1860, decode.d6.loss_mask: 0.4269, decode.d6.loss_dice: 0.6617, decode.d7.loss_cls: 0.1849, decode.d7.loss_mask: 0.4270, decode.d7.loss_dice: 0.6629, decode.d8.loss_cls: 0.1863, decode.d8.loss_mask: 0.4249, decode.d8.loss_dice: 0.6637, loss: 14.0229, grad_norm: 46.0836 2023-11-12 13:38:23,478 - mmseg - INFO - Iter [106850/160000] lr: 3.322e-05, eta: 7:24:14, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1854, decode.loss_mask: 0.4432, decode.loss_dice: 0.6758, decode.d0.loss_cls: 1.1852, decode.d0.loss_mask: 0.4798, decode.d0.loss_dice: 0.7374, decode.d1.loss_cls: 0.2527, decode.d1.loss_mask: 0.4550, decode.d1.loss_dice: 0.7076, decode.d2.loss_cls: 0.2154, decode.d2.loss_mask: 0.4493, decode.d2.loss_dice: 0.6918, decode.d3.loss_cls: 0.1976, decode.d3.loss_mask: 0.4452, decode.d3.loss_dice: 0.6814, decode.d4.loss_cls: 0.1925, decode.d4.loss_mask: 0.4467, decode.d4.loss_dice: 0.6764, decode.d5.loss_cls: 0.1879, decode.d5.loss_mask: 0.4439, decode.d5.loss_dice: 0.6790, decode.d6.loss_cls: 0.1867, decode.d6.loss_mask: 0.4422, decode.d6.loss_dice: 0.6742, decode.d7.loss_cls: 0.1870, decode.d7.loss_mask: 0.4438, decode.d7.loss_dice: 0.6740, decode.d8.loss_cls: 0.1845, decode.d8.loss_mask: 0.4436, decode.d8.loss_dice: 0.6758, loss: 14.3410, grad_norm: 46.7070 2023-11-12 13:38:47,353 - mmseg - INFO - Iter [106900/160000] lr: 3.319e-05, eta: 7:23:48, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1865, decode.loss_mask: 0.4549, decode.loss_dice: 0.6712, decode.d0.loss_cls: 1.1780, decode.d0.loss_mask: 0.4864, decode.d0.loss_dice: 0.7287, decode.d1.loss_cls: 0.2591, decode.d1.loss_mask: 0.4715, decode.d1.loss_dice: 0.7036, decode.d2.loss_cls: 0.2241, decode.d2.loss_mask: 0.4627, decode.d2.loss_dice: 0.6918, decode.d3.loss_cls: 0.2080, decode.d3.loss_mask: 0.4584, decode.d3.loss_dice: 0.6767, decode.d4.loss_cls: 0.1986, decode.d4.loss_mask: 0.4573, decode.d4.loss_dice: 0.6746, decode.d5.loss_cls: 0.1951, decode.d5.loss_mask: 0.4561, decode.d5.loss_dice: 0.6787, decode.d6.loss_cls: 0.1920, decode.d6.loss_mask: 0.4566, decode.d6.loss_dice: 0.6719, decode.d7.loss_cls: 0.1911, decode.d7.loss_mask: 0.4560, decode.d7.loss_dice: 0.6741, decode.d8.loss_cls: 0.1840, decode.d8.loss_mask: 0.4558, decode.d8.loss_dice: 0.6735, loss: 14.4770, grad_norm: 47.3466 2023-11-12 13:39:11,042 - mmseg - INFO - Iter [106950/160000] lr: 3.316e-05, eta: 7:23:22, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1853, decode.loss_mask: 0.4448, decode.loss_dice: 0.6645, decode.d0.loss_cls: 1.1710, decode.d0.loss_mask: 0.4764, decode.d0.loss_dice: 0.7195, decode.d1.loss_cls: 0.2572, decode.d1.loss_mask: 0.4542, decode.d1.loss_dice: 0.6966, decode.d2.loss_cls: 0.2214, decode.d2.loss_mask: 0.4494, decode.d2.loss_dice: 0.6823, decode.d3.loss_cls: 0.2065, decode.d3.loss_mask: 0.4453, decode.d3.loss_dice: 0.6690, decode.d4.loss_cls: 0.1966, decode.d4.loss_mask: 0.4444, decode.d4.loss_dice: 0.6608, decode.d5.loss_cls: 0.1936, decode.d5.loss_mask: 0.4439, decode.d5.loss_dice: 0.6651, decode.d6.loss_cls: 0.1955, decode.d6.loss_mask: 0.4425, decode.d6.loss_dice: 0.6617, decode.d7.loss_cls: 0.1860, decode.d7.loss_mask: 0.4453, decode.d7.loss_dice: 0.6654, decode.d8.loss_cls: 0.1853, decode.d8.loss_mask: 0.4440, decode.d8.loss_dice: 0.6636, loss: 14.2370, grad_norm: 46.5394 2023-11-12 13:39:35,023 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 13:39:35,024 - mmseg - INFO - Iter [107000/160000] lr: 3.313e-05, eta: 7:22:57, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1641, decode.loss_mask: 0.4309, decode.loss_dice: 0.6497, decode.d0.loss_cls: 1.1300, decode.d0.loss_mask: 0.4644, decode.d0.loss_dice: 0.7100, decode.d1.loss_cls: 0.2261, decode.d1.loss_mask: 0.4418, decode.d1.loss_dice: 0.6775, decode.d2.loss_cls: 0.1968, decode.d2.loss_mask: 0.4368, decode.d2.loss_dice: 0.6633, decode.d3.loss_cls: 0.1847, decode.d3.loss_mask: 0.4318, decode.d3.loss_dice: 0.6516, decode.d4.loss_cls: 0.1760, decode.d4.loss_mask: 0.4335, decode.d4.loss_dice: 0.6533, decode.d5.loss_cls: 0.1712, decode.d5.loss_mask: 0.4325, decode.d5.loss_dice: 0.6532, decode.d6.loss_cls: 0.1733, decode.d6.loss_mask: 0.4328, decode.d6.loss_dice: 0.6482, decode.d7.loss_cls: 0.1648, decode.d7.loss_mask: 0.4318, decode.d7.loss_dice: 0.6496, decode.d8.loss_cls: 0.1657, decode.d8.loss_mask: 0.4312, decode.d8.loss_dice: 0.6491, loss: 13.7257, grad_norm: 44.5042 2023-11-12 13:39:58,763 - mmseg - INFO - Iter [107050/160000] lr: 3.309e-05, eta: 7:22:31, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1853, decode.loss_mask: 0.4338, decode.loss_dice: 0.6762, decode.d0.loss_cls: 1.1330, decode.d0.loss_mask: 0.4629, decode.d0.loss_dice: 0.7293, decode.d1.loss_cls: 0.2437, decode.d1.loss_mask: 0.4464, decode.d1.loss_dice: 0.7073, decode.d2.loss_cls: 0.2151, decode.d2.loss_mask: 0.4389, decode.d2.loss_dice: 0.6841, decode.d3.loss_cls: 0.1995, decode.d3.loss_mask: 0.4350, decode.d3.loss_dice: 0.6817, decode.d4.loss_cls: 0.1964, decode.d4.loss_mask: 0.4336, decode.d4.loss_dice: 0.6773, decode.d5.loss_cls: 0.1922, decode.d5.loss_mask: 0.4338, decode.d5.loss_dice: 0.6768, decode.d6.loss_cls: 0.1856, decode.d6.loss_mask: 0.4335, decode.d6.loss_dice: 0.6767, decode.d7.loss_cls: 0.1864, decode.d7.loss_mask: 0.4329, decode.d7.loss_dice: 0.6765, decode.d8.loss_cls: 0.1832, decode.d8.loss_mask: 0.4349, decode.d8.loss_dice: 0.6758, loss: 14.1678, grad_norm: 43.8860 2023-11-12 13:40:22,803 - mmseg - INFO - Iter [107100/160000] lr: 3.306e-05, eta: 7:22:05, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1604, decode.loss_mask: 0.4411, decode.loss_dice: 0.6574, decode.d0.loss_cls: 1.1408, decode.d0.loss_mask: 0.4739, decode.d0.loss_dice: 0.7104, decode.d1.loss_cls: 0.2197, decode.d1.loss_mask: 0.4551, decode.d1.loss_dice: 0.6919, decode.d2.loss_cls: 0.1901, decode.d2.loss_mask: 0.4473, decode.d2.loss_dice: 0.6716, decode.d3.loss_cls: 0.1819, decode.d3.loss_mask: 0.4450, decode.d3.loss_dice: 0.6629, decode.d4.loss_cls: 0.1719, decode.d4.loss_mask: 0.4421, decode.d4.loss_dice: 0.6582, decode.d5.loss_cls: 0.1668, decode.d5.loss_mask: 0.4415, decode.d5.loss_dice: 0.6590, decode.d6.loss_cls: 0.1665, decode.d6.loss_mask: 0.4416, decode.d6.loss_dice: 0.6551, decode.d7.loss_cls: 0.1627, decode.d7.loss_mask: 0.4407, decode.d7.loss_dice: 0.6589, decode.d8.loss_cls: 0.1621, decode.d8.loss_mask: 0.4398, decode.d8.loss_dice: 0.6598, loss: 13.8761, grad_norm: 41.2335 2023-11-12 13:40:46,765 - mmseg - INFO - Iter [107150/160000] lr: 3.303e-05, eta: 7:21:40, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1989, decode.loss_mask: 0.4549, decode.loss_dice: 0.6749, decode.d0.loss_cls: 1.1439, decode.d0.loss_mask: 0.4893, decode.d0.loss_dice: 0.7345, decode.d1.loss_cls: 0.2547, decode.d1.loss_mask: 0.4691, decode.d1.loss_dice: 0.7111, decode.d2.loss_cls: 0.2289, decode.d2.loss_mask: 0.4620, decode.d2.loss_dice: 0.6953, decode.d3.loss_cls: 0.2179, decode.d3.loss_mask: 0.4569, decode.d3.loss_dice: 0.6781, decode.d4.loss_cls: 0.2092, decode.d4.loss_mask: 0.4551, decode.d4.loss_dice: 0.6775, decode.d5.loss_cls: 0.2016, decode.d5.loss_mask: 0.4561, decode.d5.loss_dice: 0.6828, decode.d6.loss_cls: 0.2047, decode.d6.loss_mask: 0.4551, decode.d6.loss_dice: 0.6755, decode.d7.loss_cls: 0.2032, decode.d7.loss_mask: 0.4546, decode.d7.loss_dice: 0.6745, decode.d8.loss_cls: 0.2009, decode.d8.loss_mask: 0.4544, decode.d8.loss_dice: 0.6785, loss: 14.5539, grad_norm: 49.1204 2023-11-12 13:41:10,561 - mmseg - INFO - Iter [107200/160000] lr: 3.300e-05, eta: 7:21:14, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1794, decode.loss_mask: 0.4235, decode.loss_dice: 0.6556, decode.d0.loss_cls: 1.1528, decode.d0.loss_mask: 0.4531, decode.d0.loss_dice: 0.7113, decode.d1.loss_cls: 0.2468, decode.d1.loss_mask: 0.4397, decode.d1.loss_dice: 0.6869, decode.d2.loss_cls: 0.2126, decode.d2.loss_mask: 0.4300, decode.d2.loss_dice: 0.6705, decode.d3.loss_cls: 0.1990, decode.d3.loss_mask: 0.4260, decode.d3.loss_dice: 0.6562, decode.d4.loss_cls: 0.1958, decode.d4.loss_mask: 0.4240, decode.d4.loss_dice: 0.6564, decode.d5.loss_cls: 0.1850, decode.d5.loss_mask: 0.4235, decode.d5.loss_dice: 0.6593, decode.d6.loss_cls: 0.1817, decode.d6.loss_mask: 0.4226, decode.d6.loss_dice: 0.6505, decode.d7.loss_cls: 0.1835, decode.d7.loss_mask: 0.4240, decode.d7.loss_dice: 0.6506, decode.d8.loss_cls: 0.1786, decode.d8.loss_mask: 0.4235, decode.d8.loss_dice: 0.6514, loss: 13.8537, grad_norm: 43.8535 2023-11-12 13:41:34,257 - mmseg - INFO - Iter [107250/160000] lr: 3.297e-05, eta: 7:20:48, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1960, decode.loss_mask: 0.4354, decode.loss_dice: 0.6748, decode.d0.loss_cls: 1.1588, decode.d0.loss_mask: 0.4656, decode.d0.loss_dice: 0.7334, decode.d1.loss_cls: 0.2551, decode.d1.loss_mask: 0.4457, decode.d1.loss_dice: 0.7054, decode.d2.loss_cls: 0.2264, decode.d2.loss_mask: 0.4398, decode.d2.loss_dice: 0.6882, decode.d3.loss_cls: 0.2096, decode.d3.loss_mask: 0.4394, decode.d3.loss_dice: 0.6762, decode.d4.loss_cls: 0.2030, decode.d4.loss_mask: 0.4374, decode.d4.loss_dice: 0.6784, decode.d5.loss_cls: 0.2023, decode.d5.loss_mask: 0.4383, decode.d5.loss_dice: 0.6754, decode.d6.loss_cls: 0.2016, decode.d6.loss_mask: 0.4365, decode.d6.loss_dice: 0.6738, decode.d7.loss_cls: 0.1943, decode.d7.loss_mask: 0.4364, decode.d7.loss_dice: 0.6704, decode.d8.loss_cls: 0.1969, decode.d8.loss_mask: 0.4361, decode.d8.loss_dice: 0.6722, loss: 14.3027, grad_norm: 46.4985 2023-11-12 13:41:58,081 - mmseg - INFO - Iter [107300/160000] lr: 3.294e-05, eta: 7:20:22, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1838, decode.loss_mask: 0.4473, decode.loss_dice: 0.6938, decode.d0.loss_cls: 1.1669, decode.d0.loss_mask: 0.4777, decode.d0.loss_dice: 0.7359, decode.d1.loss_cls: 0.2545, decode.d1.loss_mask: 0.4633, decode.d1.loss_dice: 0.7259, decode.d2.loss_cls: 0.2248, decode.d2.loss_mask: 0.4536, decode.d2.loss_dice: 0.7045, decode.d3.loss_cls: 0.2060, decode.d3.loss_mask: 0.4504, decode.d3.loss_dice: 0.6910, decode.d4.loss_cls: 0.2016, decode.d4.loss_mask: 0.4478, decode.d4.loss_dice: 0.6897, decode.d5.loss_cls: 0.1951, decode.d5.loss_mask: 0.4494, decode.d5.loss_dice: 0.6906, decode.d6.loss_cls: 0.1949, decode.d6.loss_mask: 0.4484, decode.d6.loss_dice: 0.6902, decode.d7.loss_cls: 0.1876, decode.d7.loss_mask: 0.4475, decode.d7.loss_dice: 0.6908, decode.d8.loss_cls: 0.1878, decode.d8.loss_mask: 0.4467, decode.d8.loss_dice: 0.6930, loss: 14.5402, grad_norm: 49.7556 2023-11-12 13:42:21,887 - mmseg - INFO - Iter [107350/160000] lr: 3.291e-05, eta: 7:19:57, time: 0.476, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1851, decode.loss_mask: 0.4267, decode.loss_dice: 0.6727, decode.d0.loss_cls: 1.1701, decode.d0.loss_mask: 0.4634, decode.d0.loss_dice: 0.7286, decode.d1.loss_cls: 0.2326, decode.d1.loss_mask: 0.4398, decode.d1.loss_dice: 0.7006, decode.d2.loss_cls: 0.2132, decode.d2.loss_mask: 0.4337, decode.d2.loss_dice: 0.6902, decode.d3.loss_cls: 0.2004, decode.d3.loss_mask: 0.4289, decode.d3.loss_dice: 0.6788, decode.d4.loss_cls: 0.1949, decode.d4.loss_mask: 0.4284, decode.d4.loss_dice: 0.6804, decode.d5.loss_cls: 0.1842, decode.d5.loss_mask: 0.4266, decode.d5.loss_dice: 0.6760, decode.d6.loss_cls: 0.1812, decode.d6.loss_mask: 0.4262, decode.d6.loss_dice: 0.6756, decode.d7.loss_cls: 0.1825, decode.d7.loss_mask: 0.4254, decode.d7.loss_dice: 0.6736, decode.d8.loss_cls: 0.1827, decode.d8.loss_mask: 0.4267, decode.d8.loss_dice: 0.6771, loss: 14.1063, grad_norm: 45.4790 2023-11-12 13:42:48,267 - mmseg - INFO - Iter [107400/160000] lr: 3.288e-05, eta: 7:19:32, time: 0.526, data_time: 0.058, memory: 41146, decode.loss_cls: 0.1816, decode.loss_mask: 0.4431, decode.loss_dice: 0.6648, decode.d0.loss_cls: 1.1507, decode.d0.loss_mask: 0.4761, decode.d0.loss_dice: 0.7195, decode.d1.loss_cls: 0.2473, decode.d1.loss_mask: 0.4548, decode.d1.loss_dice: 0.6942, decode.d2.loss_cls: 0.2142, decode.d2.loss_mask: 0.4484, decode.d2.loss_dice: 0.6810, decode.d3.loss_cls: 0.2005, decode.d3.loss_mask: 0.4449, decode.d3.loss_dice: 0.6654, decode.d4.loss_cls: 0.1918, decode.d4.loss_mask: 0.4441, decode.d4.loss_dice: 0.6661, decode.d5.loss_cls: 0.1882, decode.d5.loss_mask: 0.4446, decode.d5.loss_dice: 0.6655, decode.d6.loss_cls: 0.1844, decode.d6.loss_mask: 0.4426, decode.d6.loss_dice: 0.6604, decode.d7.loss_cls: 0.1827, decode.d7.loss_mask: 0.4425, decode.d7.loss_dice: 0.6621, decode.d8.loss_cls: 0.1764, decode.d8.loss_mask: 0.4440, decode.d8.loss_dice: 0.6641, loss: 14.1460, grad_norm: 49.1297 2023-11-12 13:43:12,297 - mmseg - INFO - Iter [107450/160000] lr: 3.284e-05, eta: 7:19:07, time: 0.482, data_time: 0.015, memory: 41146, decode.loss_cls: 0.1823, decode.loss_mask: 0.4311, decode.loss_dice: 0.6903, decode.d0.loss_cls: 1.1726, decode.d0.loss_mask: 0.4650, decode.d0.loss_dice: 0.7468, decode.d1.loss_cls: 0.2486, decode.d1.loss_mask: 0.4438, decode.d1.loss_dice: 0.7233, decode.d2.loss_cls: 0.2131, decode.d2.loss_mask: 0.4383, decode.d2.loss_dice: 0.7034, decode.d3.loss_cls: 0.2073, decode.d3.loss_mask: 0.4337, decode.d3.loss_dice: 0.6936, decode.d4.loss_cls: 0.1941, decode.d4.loss_mask: 0.4313, decode.d4.loss_dice: 0.6909, decode.d5.loss_cls: 0.1904, decode.d5.loss_mask: 0.4304, decode.d5.loss_dice: 0.6886, decode.d6.loss_cls: 0.1900, decode.d6.loss_mask: 0.4309, decode.d6.loss_dice: 0.6894, decode.d7.loss_cls: 0.1827, decode.d7.loss_mask: 0.4305, decode.d7.loss_dice: 0.6896, decode.d8.loss_cls: 0.1847, decode.d8.loss_mask: 0.4314, decode.d8.loss_dice: 0.6926, loss: 14.3407, grad_norm: 45.3422 2023-11-12 13:43:36,195 - mmseg - INFO - Iter [107500/160000] lr: 3.281e-05, eta: 7:18:41, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1822, decode.loss_mask: 0.4351, decode.loss_dice: 0.6724, decode.d0.loss_cls: 1.1510, decode.d0.loss_mask: 0.4698, decode.d0.loss_dice: 0.7250, decode.d1.loss_cls: 0.2577, decode.d1.loss_mask: 0.4450, decode.d1.loss_dice: 0.7006, decode.d2.loss_cls: 0.2163, decode.d2.loss_mask: 0.4404, decode.d2.loss_dice: 0.6885, decode.d3.loss_cls: 0.2055, decode.d3.loss_mask: 0.4366, decode.d3.loss_dice: 0.6755, decode.d4.loss_cls: 0.1968, decode.d4.loss_mask: 0.4346, decode.d4.loss_dice: 0.6802, decode.d5.loss_cls: 0.1919, decode.d5.loss_mask: 0.4340, decode.d5.loss_dice: 0.6737, decode.d6.loss_cls: 0.1881, decode.d6.loss_mask: 0.4335, decode.d6.loss_dice: 0.6682, decode.d7.loss_cls: 0.1879, decode.d7.loss_mask: 0.4331, decode.d7.loss_dice: 0.6697, decode.d8.loss_cls: 0.1842, decode.d8.loss_mask: 0.4343, decode.d8.loss_dice: 0.6745, loss: 14.1863, grad_norm: 45.6885 2023-11-12 13:44:00,070 - mmseg - INFO - Iter [107550/160000] lr: 3.278e-05, eta: 7:18:16, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1810, decode.loss_mask: 0.4286, decode.loss_dice: 0.6430, decode.d0.loss_cls: 1.1354, decode.d0.loss_mask: 0.4618, decode.d0.loss_dice: 0.6973, decode.d1.loss_cls: 0.2388, decode.d1.loss_mask: 0.4458, decode.d1.loss_dice: 0.6705, decode.d2.loss_cls: 0.2073, decode.d2.loss_mask: 0.4339, decode.d2.loss_dice: 0.6585, decode.d3.loss_cls: 0.1936, decode.d3.loss_mask: 0.4306, decode.d3.loss_dice: 0.6485, decode.d4.loss_cls: 0.1867, decode.d4.loss_mask: 0.4298, decode.d4.loss_dice: 0.6458, decode.d5.loss_cls: 0.1845, decode.d5.loss_mask: 0.4317, decode.d5.loss_dice: 0.6436, decode.d6.loss_cls: 0.1823, decode.d6.loss_mask: 0.4306, decode.d6.loss_dice: 0.6421, decode.d7.loss_cls: 0.1776, decode.d7.loss_mask: 0.4296, decode.d7.loss_dice: 0.6408, decode.d8.loss_cls: 0.1792, decode.d8.loss_mask: 0.4288, decode.d8.loss_dice: 0.6395, loss: 13.7471, grad_norm: 47.7757 2023-11-12 13:44:23,932 - mmseg - INFO - Iter [107600/160000] lr: 3.275e-05, eta: 7:17:50, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1813, decode.loss_mask: 0.4390, decode.loss_dice: 0.6761, decode.d0.loss_cls: 1.1489, decode.d0.loss_mask: 0.4728, decode.d0.loss_dice: 0.7354, decode.d1.loss_cls: 0.2351, decode.d1.loss_mask: 0.4566, decode.d1.loss_dice: 0.7106, decode.d2.loss_cls: 0.2152, decode.d2.loss_mask: 0.4461, decode.d2.loss_dice: 0.6948, decode.d3.loss_cls: 0.2005, decode.d3.loss_mask: 0.4430, decode.d3.loss_dice: 0.6816, decode.d4.loss_cls: 0.1891, decode.d4.loss_mask: 0.4406, decode.d4.loss_dice: 0.6827, decode.d5.loss_cls: 0.1816, decode.d5.loss_mask: 0.4395, decode.d5.loss_dice: 0.6842, decode.d6.loss_cls: 0.1854, decode.d6.loss_mask: 0.4387, decode.d6.loss_dice: 0.6759, decode.d7.loss_cls: 0.1820, decode.d7.loss_mask: 0.4383, decode.d7.loss_dice: 0.6792, decode.d8.loss_cls: 0.1812, decode.d8.loss_mask: 0.4375, decode.d8.loss_dice: 0.6808, loss: 14.2535, grad_norm: 45.7848 2023-11-12 13:44:47,541 - mmseg - INFO - Iter [107650/160000] lr: 3.272e-05, eta: 7:17:24, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1633, decode.loss_mask: 0.4508, decode.loss_dice: 0.6806, decode.d0.loss_cls: 1.1364, decode.d0.loss_mask: 0.4817, decode.d0.loss_dice: 0.7390, decode.d1.loss_cls: 0.2258, decode.d1.loss_mask: 0.4584, decode.d1.loss_dice: 0.7095, decode.d2.loss_cls: 0.1952, decode.d2.loss_mask: 0.4531, decode.d2.loss_dice: 0.6939, decode.d3.loss_cls: 0.1803, decode.d3.loss_mask: 0.4522, decode.d3.loss_dice: 0.6840, decode.d4.loss_cls: 0.1669, decode.d4.loss_mask: 0.4519, decode.d4.loss_dice: 0.6849, decode.d5.loss_cls: 0.1672, decode.d5.loss_mask: 0.4515, decode.d5.loss_dice: 0.6858, decode.d6.loss_cls: 0.1687, decode.d6.loss_mask: 0.4513, decode.d6.loss_dice: 0.6805, decode.d7.loss_cls: 0.1646, decode.d7.loss_mask: 0.4496, decode.d7.loss_dice: 0.6812, decode.d8.loss_cls: 0.1613, decode.d8.loss_mask: 0.4491, decode.d8.loss_dice: 0.6831, loss: 14.2018, grad_norm: 46.6013 2023-11-12 13:45:11,465 - mmseg - INFO - Iter [107700/160000] lr: 3.269e-05, eta: 7:16:58, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1701, decode.loss_mask: 0.4464, decode.loss_dice: 0.6732, decode.d0.loss_cls: 1.1785, decode.d0.loss_mask: 0.4834, decode.d0.loss_dice: 0.7403, decode.d1.loss_cls: 0.2333, decode.d1.loss_mask: 0.4579, decode.d1.loss_dice: 0.7072, decode.d2.loss_cls: 0.1980, decode.d2.loss_mask: 0.4501, decode.d2.loss_dice: 0.6901, decode.d3.loss_cls: 0.1886, decode.d3.loss_mask: 0.4466, decode.d3.loss_dice: 0.6753, decode.d4.loss_cls: 0.1800, decode.d4.loss_mask: 0.4470, decode.d4.loss_dice: 0.6741, decode.d5.loss_cls: 0.1734, decode.d5.loss_mask: 0.4462, decode.d5.loss_dice: 0.6788, decode.d6.loss_cls: 0.1703, decode.d6.loss_mask: 0.4467, decode.d6.loss_dice: 0.6741, decode.d7.loss_cls: 0.1687, decode.d7.loss_mask: 0.4462, decode.d7.loss_dice: 0.6753, decode.d8.loss_cls: 0.1667, decode.d8.loss_mask: 0.4464, decode.d8.loss_dice: 0.6725, loss: 14.2055, grad_norm: 50.7383 2023-11-12 13:45:35,274 - mmseg - INFO - Iter [107750/160000] lr: 3.266e-05, eta: 7:16:33, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1613, decode.loss_mask: 0.4415, decode.loss_dice: 0.6418, decode.d0.loss_cls: 1.1368, decode.d0.loss_mask: 0.4749, decode.d0.loss_dice: 0.7000, decode.d1.loss_cls: 0.2231, decode.d1.loss_mask: 0.4558, decode.d1.loss_dice: 0.6799, decode.d2.loss_cls: 0.1891, decode.d2.loss_mask: 0.4459, decode.d2.loss_dice: 0.6580, decode.d3.loss_cls: 0.1763, decode.d3.loss_mask: 0.4433, decode.d3.loss_dice: 0.6469, decode.d4.loss_cls: 0.1698, decode.d4.loss_mask: 0.4419, decode.d4.loss_dice: 0.6481, decode.d5.loss_cls: 0.1681, decode.d5.loss_mask: 0.4428, decode.d5.loss_dice: 0.6451, decode.d6.loss_cls: 0.1598, decode.d6.loss_mask: 0.4437, decode.d6.loss_dice: 0.6447, decode.d7.loss_cls: 0.1617, decode.d7.loss_mask: 0.4431, decode.d7.loss_dice: 0.6445, decode.d8.loss_cls: 0.1601, decode.d8.loss_mask: 0.4432, decode.d8.loss_dice: 0.6456, loss: 13.7365, grad_norm: 47.4419 2023-11-12 13:45:59,094 - mmseg - INFO - Iter [107800/160000] lr: 3.263e-05, eta: 7:16:07, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1682, decode.loss_mask: 0.4488, decode.loss_dice: 0.6703, decode.d0.loss_cls: 1.1507, decode.d0.loss_mask: 0.4824, decode.d0.loss_dice: 0.7292, decode.d1.loss_cls: 0.2322, decode.d1.loss_mask: 0.4596, decode.d1.loss_dice: 0.6974, decode.d2.loss_cls: 0.2044, decode.d2.loss_mask: 0.4533, decode.d2.loss_dice: 0.6806, decode.d3.loss_cls: 0.1893, decode.d3.loss_mask: 0.4523, decode.d3.loss_dice: 0.6716, decode.d4.loss_cls: 0.1821, decode.d4.loss_mask: 0.4506, decode.d4.loss_dice: 0.6721, decode.d5.loss_cls: 0.1768, decode.d5.loss_mask: 0.4521, decode.d5.loss_dice: 0.6709, decode.d6.loss_cls: 0.1767, decode.d6.loss_mask: 0.4500, decode.d6.loss_dice: 0.6692, decode.d7.loss_cls: 0.1688, decode.d7.loss_mask: 0.4493, decode.d7.loss_dice: 0.6691, decode.d8.loss_cls: 0.1654, decode.d8.loss_mask: 0.4500, decode.d8.loss_dice: 0.6717, loss: 14.1649, grad_norm: 44.3044 2023-11-12 13:46:23,110 - mmseg - INFO - Iter [107850/160000] lr: 3.259e-05, eta: 7:15:42, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1858, decode.loss_mask: 0.4230, decode.loss_dice: 0.6738, decode.d0.loss_cls: 1.1650, decode.d0.loss_mask: 0.4570, decode.d0.loss_dice: 0.7352, decode.d1.loss_cls: 0.2483, decode.d1.loss_mask: 0.4362, decode.d1.loss_dice: 0.7050, decode.d2.loss_cls: 0.2158, decode.d2.loss_mask: 0.4294, decode.d2.loss_dice: 0.6941, decode.d3.loss_cls: 0.2038, decode.d3.loss_mask: 0.4263, decode.d3.loss_dice: 0.6785, decode.d4.loss_cls: 0.2014, decode.d4.loss_mask: 0.4262, decode.d4.loss_dice: 0.6735, decode.d5.loss_cls: 0.1944, decode.d5.loss_mask: 0.4239, decode.d5.loss_dice: 0.6795, decode.d6.loss_cls: 0.1951, decode.d6.loss_mask: 0.4244, decode.d6.loss_dice: 0.6771, decode.d7.loss_cls: 0.1927, decode.d7.loss_mask: 0.4229, decode.d7.loss_dice: 0.6754, decode.d8.loss_cls: 0.1889, decode.d8.loss_mask: 0.4239, decode.d8.loss_dice: 0.6775, loss: 14.1539, grad_norm: 45.6515 2023-11-12 13:46:47,091 - mmseg - INFO - Iter [107900/160000] lr: 3.256e-05, eta: 7:15:16, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1661, decode.loss_mask: 0.4494, decode.loss_dice: 0.6685, decode.d0.loss_cls: 1.1162, decode.d0.loss_mask: 0.4831, decode.d0.loss_dice: 0.7229, decode.d1.loss_cls: 0.2249, decode.d1.loss_mask: 0.4669, decode.d1.loss_dice: 0.6990, decode.d2.loss_cls: 0.1939, decode.d2.loss_mask: 0.4554, decode.d2.loss_dice: 0.6822, decode.d3.loss_cls: 0.1794, decode.d3.loss_mask: 0.4540, decode.d3.loss_dice: 0.6680, decode.d4.loss_cls: 0.1733, decode.d4.loss_mask: 0.4530, decode.d4.loss_dice: 0.6688, decode.d5.loss_cls: 0.1724, decode.d5.loss_mask: 0.4528, decode.d5.loss_dice: 0.6720, decode.d6.loss_cls: 0.1706, decode.d6.loss_mask: 0.4499, decode.d6.loss_dice: 0.6680, decode.d7.loss_cls: 0.1723, decode.d7.loss_mask: 0.4496, decode.d7.loss_dice: 0.6672, decode.d8.loss_cls: 0.1686, decode.d8.loss_mask: 0.4497, decode.d8.loss_dice: 0.6669, loss: 14.0848, grad_norm: 44.6250 2023-11-12 13:47:10,971 - mmseg - INFO - Iter [107950/160000] lr: 3.253e-05, eta: 7:14:50, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1718, decode.loss_mask: 0.4278, decode.loss_dice: 0.6690, decode.d0.loss_cls: 1.1331, decode.d0.loss_mask: 0.4606, decode.d0.loss_dice: 0.7212, decode.d1.loss_cls: 0.2374, decode.d1.loss_mask: 0.4435, decode.d1.loss_dice: 0.6987, decode.d2.loss_cls: 0.2058, decode.d2.loss_mask: 0.4354, decode.d2.loss_dice: 0.6877, decode.d3.loss_cls: 0.1882, decode.d3.loss_mask: 0.4305, decode.d3.loss_dice: 0.6729, decode.d4.loss_cls: 0.1809, decode.d4.loss_mask: 0.4288, decode.d4.loss_dice: 0.6713, decode.d5.loss_cls: 0.1779, decode.d5.loss_mask: 0.4282, decode.d5.loss_dice: 0.6640, decode.d6.loss_cls: 0.1737, decode.d6.loss_mask: 0.4285, decode.d6.loss_dice: 0.6671, decode.d7.loss_cls: 0.1686, decode.d7.loss_mask: 0.4280, decode.d7.loss_dice: 0.6664, decode.d8.loss_cls: 0.1692, decode.d8.loss_mask: 0.4276, decode.d8.loss_dice: 0.6697, loss: 13.9333, grad_norm: 44.6104 2023-11-12 13:47:34,701 - mmseg - INFO - Saving checkpoint at 108000 iterations 2023-11-12 13:47:38,730 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 13:47:38,730 - mmseg - INFO - Iter [108000/160000] lr: 3.250e-05, eta: 7:14:27, time: 0.555, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1745, decode.loss_mask: 0.4386, decode.loss_dice: 0.6731, decode.d0.loss_cls: 1.1312, decode.d0.loss_mask: 0.4746, decode.d0.loss_dice: 0.7291, decode.d1.loss_cls: 0.2294, decode.d1.loss_mask: 0.4598, decode.d1.loss_dice: 0.7018, decode.d2.loss_cls: 0.1915, decode.d2.loss_mask: 0.4494, decode.d2.loss_dice: 0.6916, decode.d3.loss_cls: 0.1821, decode.d3.loss_mask: 0.4425, decode.d3.loss_dice: 0.6813, decode.d4.loss_cls: 0.1784, decode.d4.loss_mask: 0.4416, decode.d4.loss_dice: 0.6799, decode.d5.loss_cls: 0.1666, decode.d5.loss_mask: 0.4413, decode.d5.loss_dice: 0.6800, decode.d6.loss_cls: 0.1738, decode.d6.loss_mask: 0.4416, decode.d6.loss_dice: 0.6729, decode.d7.loss_cls: 0.1687, decode.d7.loss_mask: 0.4402, decode.d7.loss_dice: 0.6764, decode.d8.loss_cls: 0.1670, decode.d8.loss_mask: 0.4400, decode.d8.loss_dice: 0.6803, loss: 14.0993, grad_norm: 49.7693 2023-11-12 13:47:58,067 - mmseg - INFO - per class results: 2023-11-12 13:47:58,072 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.3 | 87.38 | | building | 81.84 | 91.03 | | sky | 94.65 | 97.3 | | floor | 83.68 | 91.59 | | tree | 75.11 | 87.46 | | ceiling | 85.39 | 90.47 | | road | 84.72 | 91.72 | | bed | 90.92 | 95.86 | | windowpane | 63.91 | 79.6 | | grass | 60.5 | 71.64 | | cabinet | 67.07 | 80.02 | | sidewalk | 66.91 | 78.44 | | person | 84.85 | 92.79 | | earth | 36.78 | 51.36 | | door | 49.38 | 64.72 | | table | 66.06 | 80.14 | | mountain | 66.37 | 74.23 | | plant | 53.64 | 68.77 | | curtain | 77.5 | 87.12 | | chair | 63.69 | 76.95 | | car | 83.89 | 91.85 | | water | 54.43 | 68.6 | | painting | 75.45 | 88.1 | | sofa | 67.44 | 77.61 | | shelf | 41.07 | 57.13 | | house | 45.24 | 83.49 | | sea | 64.16 | 90.63 | | mirror | 70.73 | 82.22 | | rug | 65.23 | 76.1 | | field | 31.51 | 58.19 | | armchair | 49.06 | 72.76 | | seat | 61.81 | 81.08 | | fence | 50.26 | 71.43 | | desk | 59.34 | 72.49 | | rock | 50.27 | 77.98 | | wardrobe | 51.14 | 65.69 | | lamp | 72.29 | 82.55 | | bathtub | 79.06 | 91.51 | | railing | 38.21 | 55.11 | | cushion | 63.68 | 78.41 | | base | 31.54 | 57.37 | | box | 28.56 | 40.27 | | column | 42.19 | 50.71 | | signboard | 37.71 | 52.19 | | chest of drawers | 39.34 | 54.67 | | counter | 30.88 | 41.33 | | sand | 31.01 | 45.22 | | sink | 80.1 | 86.01 | | skyscraper | 41.37 | 49.34 | | fireplace | 74.78 | 95.15 | | refrigerator | 83.65 | 91.34 | | grandstand | 45.35 | 69.85 | | path | 30.22 | 46.71 | | stairs | 30.44 | 43.44 | | runway | 84.49 | 88.42 | | case | 63.16 | 81.94 | | pool table | 94.89 | 97.09 | | pillow | 65.62 | 76.95 | | screen door | 58.66 | 73.12 | | stairway | 28.72 | 37.96 | | river | 10.92 | 18.52 | | bridge | 77.87 | 91.94 | | bookcase | 35.12 | 63.19 | | blind | 48.61 | 58.33 | | coffee table | 64.46 | 84.99 | | toilet | 85.39 | 91.62 | | flower | 42.49 | 56.29 | | book | 52.51 | 76.65 | | hill | 11.45 | 28.24 | | bench | 55.45 | 68.51 | | countertop | 59.4 | 69.27 | | stove | 82.84 | 90.03 | | palm | 54.76 | 70.67 | | kitchen island | 51.94 | 76.57 | | computer | 71.73 | 78.96 | | swivel chair | 42.59 | 59.54 | | boat | 43.48 | 55.01 | | bar | 39.76 | 50.55 | | arcade machine | 90.33 | 95.18 | | hovel | 7.38 | 7.96 | | bus | 92.85 | 96.29 | | towel | 61.32 | 82.3 | | light | 61.58 | 75.76 | | truck | 32.5 | 57.48 | | tower | 23.03 | 38.27 | | chandelier | 71.16 | 84.23 | | awning | 32.64 | 46.33 | | streetlight | 43.95 | 60.68 | | booth | 29.47 | 44.61 | | television receiver | 73.55 | 80.82 | | airplane | 74.71 | 88.86 | | dirt track | 4.88 | 34.99 | | apparel | 34.04 | 57.17 | | pole | 31.34 | 46.64 | | land | 3.98 | 10.94 | | bannister | 21.52 | 30.48 | | escalator | 20.47 | 23.92 | | ottoman | 56.2 | 74.78 | | bottle | 29.18 | 34.93 | | buffet | 46.16 | 54.2 | | poster | 22.1 | 37.37 | | stage | 13.58 | 24.82 | | van | 51.42 | 71.04 | | ship | 10.76 | 23.75 | | fountain | 19.82 | 21.7 | | conveyer belt | 64.0 | 93.77 | | canopy | 28.3 | 43.96 | | washer | 71.08 | 72.87 | | plaything | 38.99 | 64.89 | | swimming pool | 63.49 | 64.3 | | stool | 46.14 | 71.11 | | barrel | 86.82 | 96.8 | | basket | 40.44 | 49.73 | | waterfall | 66.11 | 92.65 | | tent | 95.1 | 97.95 | | bag | 21.0 | 25.49 | | minibike | 72.7 | 91.47 | | cradle | 84.99 | 97.52 | | oven | 29.25 | 79.61 | | ball | 26.4 | 29.88 | | food | 65.05 | 83.28 | | step | 21.38 | 25.11 | | tank | 55.51 | 65.59 | | trade name | 25.84 | 30.93 | | microwave | 43.44 | 46.35 | | pot | 48.06 | 55.7 | | animal | 58.27 | 59.42 | | bicycle | 55.89 | 74.16 | | lake | 57.72 | 63.03 | | dishwasher | 79.51 | 85.35 | | screen | 60.89 | 94.41 | | blanket | 28.82 | 42.16 | | sculpture | 67.55 | 86.96 | | hood | 75.89 | 91.25 | | sconce | 58.44 | 69.06 | | vase | 52.19 | 68.29 | | traffic light | 42.02 | 67.43 | | tray | 19.29 | 31.24 | | ashcan | 52.56 | 67.88 | | fan | 70.99 | 84.78 | | pier | 9.69 | 19.18 | | crt screen | 4.49 | 14.3 | | plate | 57.63 | 73.78 | | monitor | 10.99 | 13.86 | | bulletin board | 48.79 | 70.88 | | shower | 13.34 | 20.16 | | radiator | 71.88 | 82.41 | | glass | 20.88 | 23.99 | | clock | 58.06 | 69.38 | | flag | 45.38 | 52.83 | +---------------------+-------+-------+ 2023-11-12 13:47:58,073 - mmseg - INFO - Summary: 2023-11-12 13:47:58,073 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 83.74 | 52.23 | 65.6 | +-------+-------+------+ 2023-11-12 13:47:58,073 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 13:47:58,074 - mmseg - INFO - Iter(val) [250] aAcc: 0.8374, mIoU: 0.5223, mAcc: 0.6560, IoU.wall: 0.7830, IoU.building: 0.8184, IoU.sky: 0.9465, IoU.floor: 0.8368, IoU.tree: 0.7511, IoU.ceiling: 0.8539, IoU.road: 0.8472, IoU.bed : 0.9092, IoU.windowpane: 0.6391, IoU.grass: 0.6050, IoU.cabinet: 0.6707, IoU.sidewalk: 0.6691, IoU.person: 0.8485, IoU.earth: 0.3678, IoU.door: 0.4938, IoU.table: 0.6606, IoU.mountain: 0.6637, IoU.plant: 0.5364, IoU.curtain: 0.7750, IoU.chair: 0.6369, IoU.car: 0.8389, IoU.water: 0.5443, IoU.painting: 0.7545, IoU.sofa: 0.6744, IoU.shelf: 0.4107, IoU.house: 0.4524, IoU.sea: 0.6416, IoU.mirror: 0.7073, IoU.rug: 0.6523, IoU.field: 0.3151, IoU.armchair: 0.4906, IoU.seat: 0.6181, IoU.fence: 0.5026, IoU.desk: 0.5934, IoU.rock: 0.5027, IoU.wardrobe: 0.5114, IoU.lamp: 0.7229, IoU.bathtub: 0.7906, IoU.railing: 0.3821, IoU.cushion: 0.6368, IoU.base: 0.3154, IoU.box: 0.2856, IoU.column: 0.4219, IoU.signboard: 0.3771, IoU.chest of drawers: 0.3934, IoU.counter: 0.3088, IoU.sand: 0.3101, IoU.sink: 0.8010, IoU.skyscraper: 0.4137, IoU.fireplace: 0.7478, IoU.refrigerator: 0.8365, IoU.grandstand: 0.4535, IoU.path: 0.3022, IoU.stairs: 0.3044, IoU.runway: 0.8449, IoU.case: 0.6316, IoU.pool table: 0.9489, IoU.pillow: 0.6562, IoU.screen door: 0.5866, IoU.stairway: 0.2872, IoU.river: 0.1092, IoU.bridge: 0.7787, IoU.bookcase: 0.3512, IoU.blind: 0.4861, IoU.coffee table: 0.6446, IoU.toilet: 0.8539, IoU.flower: 0.4249, IoU.book: 0.5251, IoU.hill: 0.1145, IoU.bench: 0.5545, IoU.countertop: 0.5940, IoU.stove: 0.8284, IoU.palm: 0.5476, IoU.kitchen island: 0.5194, IoU.computer: 0.7173, IoU.swivel chair: 0.4259, IoU.boat: 0.4348, IoU.bar: 0.3976, IoU.arcade machine: 0.9033, IoU.hovel: 0.0738, IoU.bus: 0.9285, IoU.towel: 0.6132, IoU.light: 0.6158, IoU.truck: 0.3250, IoU.tower: 0.2303, IoU.chandelier: 0.7116, IoU.awning: 0.3264, IoU.streetlight: 0.4395, IoU.booth: 0.2947, IoU.television receiver: 0.7355, IoU.airplane: 0.7471, IoU.dirt track: 0.0488, IoU.apparel: 0.3404, IoU.pole: 0.3134, IoU.land: 0.0398, IoU.bannister: 0.2152, IoU.escalator: 0.2047, IoU.ottoman: 0.5620, IoU.bottle: 0.2918, IoU.buffet: 0.4616, IoU.poster: 0.2210, IoU.stage: 0.1358, IoU.van: 0.5142, IoU.ship: 0.1076, IoU.fountain: 0.1982, IoU.conveyer belt: 0.6400, IoU.canopy: 0.2830, IoU.washer: 0.7108, IoU.plaything: 0.3899, IoU.swimming pool: 0.6349, IoU.stool: 0.4614, IoU.barrel: 0.8682, IoU.basket: 0.4044, IoU.waterfall: 0.6611, IoU.tent: 0.9510, IoU.bag: 0.2100, IoU.minibike: 0.7270, IoU.cradle: 0.8499, IoU.oven: 0.2925, IoU.ball: 0.2640, IoU.food: 0.6505, IoU.step: 0.2138, IoU.tank: 0.5551, IoU.trade name: 0.2584, IoU.microwave: 0.4344, IoU.pot: 0.4806, IoU.animal: 0.5827, IoU.bicycle: 0.5589, IoU.lake: 0.5772, IoU.dishwasher: 0.7951, IoU.screen: 0.6089, IoU.blanket: 0.2882, IoU.sculpture: 0.6755, IoU.hood: 0.7589, IoU.sconce: 0.5844, IoU.vase: 0.5219, IoU.traffic light: 0.4202, IoU.tray: 0.1929, IoU.ashcan: 0.5256, IoU.fan: 0.7099, IoU.pier: 0.0969, IoU.crt screen: 0.0449, IoU.plate: 0.5763, IoU.monitor: 0.1099, IoU.bulletin board: 0.4879, IoU.shower: 0.1334, IoU.radiator: 0.7188, IoU.glass: 0.2088, IoU.clock: 0.5806, IoU.flag: 0.4538, Acc.wall: 0.8738, Acc.building: 0.9103, Acc.sky: 0.9730, Acc.floor: 0.9159, Acc.tree: 0.8746, Acc.ceiling: 0.9047, Acc.road: 0.9172, Acc.bed : 0.9586, Acc.windowpane: 0.7960, Acc.grass: 0.7164, Acc.cabinet: 0.8002, Acc.sidewalk: 0.7844, Acc.person: 0.9279, Acc.earth: 0.5136, Acc.door: 0.6472, Acc.table: 0.8014, Acc.mountain: 0.7423, Acc.plant: 0.6877, Acc.curtain: 0.8712, Acc.chair: 0.7695, Acc.car: 0.9185, Acc.water: 0.6860, Acc.painting: 0.8810, Acc.sofa: 0.7761, Acc.shelf: 0.5713, Acc.house: 0.8349, Acc.sea: 0.9063, Acc.mirror: 0.8222, Acc.rug: 0.7610, Acc.field: 0.5819, Acc.armchair: 0.7276, Acc.seat: 0.8108, Acc.fence: 0.7143, Acc.desk: 0.7249, Acc.rock: 0.7798, Acc.wardrobe: 0.6569, Acc.lamp: 0.8255, Acc.bathtub: 0.9151, Acc.railing: 0.5511, Acc.cushion: 0.7841, Acc.base: 0.5737, Acc.box: 0.4027, Acc.column: 0.5071, Acc.signboard: 0.5219, Acc.chest of drawers: 0.5467, Acc.counter: 0.4133, Acc.sand: 0.4522, Acc.sink: 0.8601, Acc.skyscraper: 0.4934, Acc.fireplace: 0.9515, Acc.refrigerator: 0.9134, Acc.grandstand: 0.6985, Acc.path: 0.4671, Acc.stairs: 0.4344, Acc.runway: 0.8842, Acc.case: 0.8194, Acc.pool table: 0.9709, Acc.pillow: 0.7695, Acc.screen door: 0.7312, Acc.stairway: 0.3796, Acc.river: 0.1852, Acc.bridge: 0.9194, Acc.bookcase: 0.6319, Acc.blind: 0.5833, Acc.coffee table: 0.8499, Acc.toilet: 0.9162, Acc.flower: 0.5629, Acc.book: 0.7665, Acc.hill: 0.2824, Acc.bench: 0.6851, Acc.countertop: 0.6927, Acc.stove: 0.9003, Acc.palm: 0.7067, Acc.kitchen island: 0.7657, Acc.computer: 0.7896, Acc.swivel chair: 0.5954, Acc.boat: 0.5501, Acc.bar: 0.5055, Acc.arcade machine: 0.9518, Acc.hovel: 0.0796, Acc.bus: 0.9629, Acc.towel: 0.8230, Acc.light: 0.7576, Acc.truck: 0.5748, Acc.tower: 0.3827, Acc.chandelier: 0.8423, Acc.awning: 0.4633, Acc.streetlight: 0.6068, Acc.booth: 0.4461, Acc.television receiver: 0.8082, Acc.airplane: 0.8886, Acc.dirt track: 0.3499, Acc.apparel: 0.5717, Acc.pole: 0.4664, Acc.land: 0.1094, Acc.bannister: 0.3048, Acc.escalator: 0.2392, Acc.ottoman: 0.7478, Acc.bottle: 0.3493, Acc.buffet: 0.5420, Acc.poster: 0.3737, Acc.stage: 0.2482, Acc.van: 0.7104, Acc.ship: 0.2375, Acc.fountain: 0.2170, Acc.conveyer belt: 0.9377, Acc.canopy: 0.4396, Acc.washer: 0.7287, Acc.plaything: 0.6489, Acc.swimming pool: 0.6430, Acc.stool: 0.7111, Acc.barrel: 0.9680, Acc.basket: 0.4973, Acc.waterfall: 0.9265, Acc.tent: 0.9795, Acc.bag: 0.2549, Acc.minibike: 0.9147, Acc.cradle: 0.9752, Acc.oven: 0.7961, Acc.ball: 0.2988, Acc.food: 0.8328, Acc.step: 0.2511, Acc.tank: 0.6559, Acc.trade name: 0.3093, Acc.microwave: 0.4635, Acc.pot: 0.5570, Acc.animal: 0.5942, Acc.bicycle: 0.7416, Acc.lake: 0.6303, Acc.dishwasher: 0.8535, Acc.screen: 0.9441, Acc.blanket: 0.4216, Acc.sculpture: 0.8696, Acc.hood: 0.9125, Acc.sconce: 0.6906, Acc.vase: 0.6829, Acc.traffic light: 0.6743, Acc.tray: 0.3124, Acc.ashcan: 0.6788, Acc.fan: 0.8478, Acc.pier: 0.1918, Acc.crt screen: 0.1430, Acc.plate: 0.7378, Acc.monitor: 0.1386, Acc.bulletin board: 0.7088, Acc.shower: 0.2016, Acc.radiator: 0.8241, Acc.glass: 0.2399, Acc.clock: 0.6938, Acc.flag: 0.5283 2023-11-12 13:48:21,745 - mmseg - INFO - Iter [108050/160000] lr: 3.247e-05, eta: 7:14:10, time: 0.860, data_time: 0.400, memory: 41146, decode.loss_cls: 0.1621, decode.loss_mask: 0.4401, decode.loss_dice: 0.6408, decode.d0.loss_cls: 1.1259, decode.d0.loss_mask: 0.4707, decode.d0.loss_dice: 0.6934, decode.d1.loss_cls: 0.2243, decode.d1.loss_mask: 0.4541, decode.d1.loss_dice: 0.6660, decode.d2.loss_cls: 0.1862, decode.d2.loss_mask: 0.4490, decode.d2.loss_dice: 0.6540, decode.d3.loss_cls: 0.1755, decode.d3.loss_mask: 0.4402, decode.d3.loss_dice: 0.6399, decode.d4.loss_cls: 0.1704, decode.d4.loss_mask: 0.4399, decode.d4.loss_dice: 0.6397, decode.d5.loss_cls: 0.1678, decode.d5.loss_mask: 0.4393, decode.d5.loss_dice: 0.6376, decode.d6.loss_cls: 0.1691, decode.d6.loss_mask: 0.4390, decode.d6.loss_dice: 0.6356, decode.d7.loss_cls: 0.1639, decode.d7.loss_mask: 0.4389, decode.d7.loss_dice: 0.6370, decode.d8.loss_cls: 0.1635, decode.d8.loss_mask: 0.4384, decode.d8.loss_dice: 0.6373, loss: 13.6396, grad_norm: 48.5377 2023-11-12 13:48:45,530 - mmseg - INFO - Iter [108100/160000] lr: 3.244e-05, eta: 7:13:44, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1820, decode.loss_mask: 0.4219, decode.loss_dice: 0.6493, decode.d0.loss_cls: 1.1649, decode.d0.loss_mask: 0.4538, decode.d0.loss_dice: 0.6976, decode.d1.loss_cls: 0.2449, decode.d1.loss_mask: 0.4362, decode.d1.loss_dice: 0.6722, decode.d2.loss_cls: 0.2140, decode.d2.loss_mask: 0.4283, decode.d2.loss_dice: 0.6605, decode.d3.loss_cls: 0.2048, decode.d3.loss_mask: 0.4242, decode.d3.loss_dice: 0.6515, decode.d4.loss_cls: 0.1899, decode.d4.loss_mask: 0.4225, decode.d4.loss_dice: 0.6496, decode.d5.loss_cls: 0.1906, decode.d5.loss_mask: 0.4222, decode.d5.loss_dice: 0.6488, decode.d6.loss_cls: 0.1902, decode.d6.loss_mask: 0.4216, decode.d6.loss_dice: 0.6459, decode.d7.loss_cls: 0.1838, decode.d7.loss_mask: 0.4220, decode.d7.loss_dice: 0.6490, decode.d8.loss_cls: 0.1856, decode.d8.loss_mask: 0.4215, decode.d8.loss_dice: 0.6487, loss: 13.7982, grad_norm: 43.6920 2023-11-12 13:49:09,395 - mmseg - INFO - Iter [108150/160000] lr: 3.241e-05, eta: 7:13:19, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1722, decode.loss_mask: 0.4564, decode.loss_dice: 0.6725, decode.d0.loss_cls: 1.1747, decode.d0.loss_mask: 0.4884, decode.d0.loss_dice: 0.7375, decode.d1.loss_cls: 0.2444, decode.d1.loss_mask: 0.4680, decode.d1.loss_dice: 0.7096, decode.d2.loss_cls: 0.2063, decode.d2.loss_mask: 0.4599, decode.d2.loss_dice: 0.6879, decode.d3.loss_cls: 0.1960, decode.d3.loss_mask: 0.4600, decode.d3.loss_dice: 0.6751, decode.d4.loss_cls: 0.1901, decode.d4.loss_mask: 0.4602, decode.d4.loss_dice: 0.6733, decode.d5.loss_cls: 0.1834, decode.d5.loss_mask: 0.4571, decode.d5.loss_dice: 0.6745, decode.d6.loss_cls: 0.1851, decode.d6.loss_mask: 0.4526, decode.d6.loss_dice: 0.6679, decode.d7.loss_cls: 0.1751, decode.d7.loss_mask: 0.4559, decode.d7.loss_dice: 0.6739, decode.d8.loss_cls: 0.1742, decode.d8.loss_mask: 0.4567, decode.d8.loss_dice: 0.6759, loss: 14.3648, grad_norm: 47.8778 2023-11-12 13:49:33,301 - mmseg - INFO - Iter [108200/160000] lr: 3.238e-05, eta: 7:12:53, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1727, decode.loss_mask: 0.4354, decode.loss_dice: 0.6513, decode.d0.loss_cls: 1.1389, decode.d0.loss_mask: 0.4716, decode.d0.loss_dice: 0.7180, decode.d1.loss_cls: 0.2409, decode.d1.loss_mask: 0.4517, decode.d1.loss_dice: 0.6859, decode.d2.loss_cls: 0.2027, decode.d2.loss_mask: 0.4417, decode.d2.loss_dice: 0.6762, decode.d3.loss_cls: 0.1913, decode.d3.loss_mask: 0.4353, decode.d3.loss_dice: 0.6584, decode.d4.loss_cls: 0.1821, decode.d4.loss_mask: 0.4362, decode.d4.loss_dice: 0.6584, decode.d5.loss_cls: 0.1797, decode.d5.loss_mask: 0.4364, decode.d5.loss_dice: 0.6562, decode.d6.loss_cls: 0.1780, decode.d6.loss_mask: 0.4350, decode.d6.loss_dice: 0.6515, decode.d7.loss_cls: 0.1763, decode.d7.loss_mask: 0.4366, decode.d7.loss_dice: 0.6552, decode.d8.loss_cls: 0.1757, decode.d8.loss_mask: 0.4351, decode.d8.loss_dice: 0.6547, loss: 13.9191, grad_norm: 49.1656 2023-11-12 13:49:57,087 - mmseg - INFO - Iter [108250/160000] lr: 3.234e-05, eta: 7:12:27, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1558, decode.loss_mask: 0.4327, decode.loss_dice: 0.6523, decode.d0.loss_cls: 1.1226, decode.d0.loss_mask: 0.4616, decode.d0.loss_dice: 0.7017, decode.d1.loss_cls: 0.2229, decode.d1.loss_mask: 0.4456, decode.d1.loss_dice: 0.6851, decode.d2.loss_cls: 0.1882, decode.d2.loss_mask: 0.4367, decode.d2.loss_dice: 0.6685, decode.d3.loss_cls: 0.1776, decode.d3.loss_mask: 0.4351, decode.d3.loss_dice: 0.6598, decode.d4.loss_cls: 0.1700, decode.d4.loss_mask: 0.4350, decode.d4.loss_dice: 0.6565, decode.d5.loss_cls: 0.1676, decode.d5.loss_mask: 0.4340, decode.d5.loss_dice: 0.6551, decode.d6.loss_cls: 0.1652, decode.d6.loss_mask: 0.4343, decode.d6.loss_dice: 0.6537, decode.d7.loss_cls: 0.1623, decode.d7.loss_mask: 0.4333, decode.d7.loss_dice: 0.6534, decode.d8.loss_cls: 0.1595, decode.d8.loss_mask: 0.4338, decode.d8.loss_dice: 0.6555, loss: 13.7153, grad_norm: 46.7504 2023-11-12 13:50:21,332 - mmseg - INFO - Iter [108300/160000] lr: 3.231e-05, eta: 7:12:02, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1839, decode.loss_mask: 0.4376, decode.loss_dice: 0.6673, decode.d0.loss_cls: 1.1388, decode.d0.loss_mask: 0.4688, decode.d0.loss_dice: 0.7295, decode.d1.loss_cls: 0.2477, decode.d1.loss_mask: 0.4474, decode.d1.loss_dice: 0.6981, decode.d2.loss_cls: 0.2180, decode.d2.loss_mask: 0.4429, decode.d2.loss_dice: 0.6827, decode.d3.loss_cls: 0.2079, decode.d3.loss_mask: 0.4375, decode.d3.loss_dice: 0.6699, decode.d4.loss_cls: 0.1935, decode.d4.loss_mask: 0.4386, decode.d4.loss_dice: 0.6695, decode.d5.loss_cls: 0.1926, decode.d5.loss_mask: 0.4370, decode.d5.loss_dice: 0.6727, decode.d6.loss_cls: 0.1882, decode.d6.loss_mask: 0.4371, decode.d6.loss_dice: 0.6683, decode.d7.loss_cls: 0.1857, decode.d7.loss_mask: 0.4376, decode.d7.loss_dice: 0.6691, decode.d8.loss_cls: 0.1843, decode.d8.loss_mask: 0.4387, decode.d8.loss_dice: 0.6697, loss: 14.1604, grad_norm: 40.5784 2023-11-12 13:50:45,351 - mmseg - INFO - Iter [108350/160000] lr: 3.228e-05, eta: 7:11:36, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1770, decode.loss_mask: 0.4373, decode.loss_dice: 0.6706, decode.d0.loss_cls: 1.2007, decode.d0.loss_mask: 0.4735, decode.d0.loss_dice: 0.7298, decode.d1.loss_cls: 0.2508, decode.d1.loss_mask: 0.4546, decode.d1.loss_dice: 0.7082, decode.d2.loss_cls: 0.2078, decode.d2.loss_mask: 0.4452, decode.d2.loss_dice: 0.6899, decode.d3.loss_cls: 0.1995, decode.d3.loss_mask: 0.4405, decode.d3.loss_dice: 0.6738, decode.d4.loss_cls: 0.1823, decode.d4.loss_mask: 0.4411, decode.d4.loss_dice: 0.6772, decode.d5.loss_cls: 0.1823, decode.d5.loss_mask: 0.4400, decode.d5.loss_dice: 0.6743, decode.d6.loss_cls: 0.1799, decode.d6.loss_mask: 0.4404, decode.d6.loss_dice: 0.6691, decode.d7.loss_cls: 0.1791, decode.d7.loss_mask: 0.4387, decode.d7.loss_dice: 0.6730, decode.d8.loss_cls: 0.1753, decode.d8.loss_mask: 0.4394, decode.d8.loss_dice: 0.6714, loss: 14.2226, grad_norm: 44.2910 2023-11-12 13:51:09,246 - mmseg - INFO - Iter [108400/160000] lr: 3.225e-05, eta: 7:11:11, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1767, decode.loss_mask: 0.4575, decode.loss_dice: 0.6893, decode.d0.loss_cls: 1.1457, decode.d0.loss_mask: 0.4926, decode.d0.loss_dice: 0.7515, decode.d1.loss_cls: 0.2372, decode.d1.loss_mask: 0.4740, decode.d1.loss_dice: 0.7350, decode.d2.loss_cls: 0.2083, decode.d2.loss_mask: 0.4622, decode.d2.loss_dice: 0.7053, decode.d3.loss_cls: 0.2002, decode.d3.loss_mask: 0.4601, decode.d3.loss_dice: 0.6951, decode.d4.loss_cls: 0.1855, decode.d4.loss_mask: 0.4591, decode.d4.loss_dice: 0.6963, decode.d5.loss_cls: 0.1851, decode.d5.loss_mask: 0.4593, decode.d5.loss_dice: 0.6980, decode.d6.loss_cls: 0.1829, decode.d6.loss_mask: 0.4568, decode.d6.loss_dice: 0.6947, decode.d7.loss_cls: 0.1787, decode.d7.loss_mask: 0.4566, decode.d7.loss_dice: 0.6889, decode.d8.loss_cls: 0.1793, decode.d8.loss_mask: 0.4572, decode.d8.loss_dice: 0.6912, loss: 14.5605, grad_norm: 46.1385 2023-11-12 13:51:33,031 - mmseg - INFO - Iter [108450/160000] lr: 3.222e-05, eta: 7:10:45, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1836, decode.loss_mask: 0.4233, decode.loss_dice: 0.6760, decode.d0.loss_cls: 1.1700, decode.d0.loss_mask: 0.4525, decode.d0.loss_dice: 0.7276, decode.d1.loss_cls: 0.2561, decode.d1.loss_mask: 0.4354, decode.d1.loss_dice: 0.7025, decode.d2.loss_cls: 0.2251, decode.d2.loss_mask: 0.4290, decode.d2.loss_dice: 0.6888, decode.d3.loss_cls: 0.2058, decode.d3.loss_mask: 0.4272, decode.d3.loss_dice: 0.6849, decode.d4.loss_cls: 0.1984, decode.d4.loss_mask: 0.4238, decode.d4.loss_dice: 0.6810, decode.d5.loss_cls: 0.1945, decode.d5.loss_mask: 0.4225, decode.d5.loss_dice: 0.6820, decode.d6.loss_cls: 0.1918, decode.d6.loss_mask: 0.4257, decode.d6.loss_dice: 0.6772, decode.d7.loss_cls: 0.1903, decode.d7.loss_mask: 0.4268, decode.d7.loss_dice: 0.6754, decode.d8.loss_cls: 0.1899, decode.d8.loss_mask: 0.4260, decode.d8.loss_dice: 0.6754, loss: 14.1686, grad_norm: 49.3303 2023-11-12 13:51:56,911 - mmseg - INFO - Iter [108500/160000] lr: 3.219e-05, eta: 7:10:19, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1845, decode.loss_mask: 0.4580, decode.loss_dice: 0.6709, decode.d0.loss_cls: 1.1162, decode.d0.loss_mask: 0.4979, decode.d0.loss_dice: 0.7274, decode.d1.loss_cls: 0.2460, decode.d1.loss_mask: 0.4761, decode.d1.loss_dice: 0.6981, decode.d2.loss_cls: 0.2189, decode.d2.loss_mask: 0.4663, decode.d2.loss_dice: 0.6841, decode.d3.loss_cls: 0.2015, decode.d3.loss_mask: 0.4602, decode.d3.loss_dice: 0.6754, decode.d4.loss_cls: 0.1944, decode.d4.loss_mask: 0.4612, decode.d4.loss_dice: 0.6746, decode.d5.loss_cls: 0.1917, decode.d5.loss_mask: 0.4612, decode.d5.loss_dice: 0.6758, decode.d6.loss_cls: 0.1932, decode.d6.loss_mask: 0.4589, decode.d6.loss_dice: 0.6707, decode.d7.loss_cls: 0.1894, decode.d7.loss_mask: 0.4602, decode.d7.loss_dice: 0.6695, decode.d8.loss_cls: 0.1858, decode.d8.loss_mask: 0.4586, decode.d8.loss_dice: 0.6701, loss: 14.3971, grad_norm: 52.1867 2023-11-12 13:52:20,869 - mmseg - INFO - Iter [108550/160000] lr: 3.216e-05, eta: 7:09:54, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1822, decode.loss_mask: 0.4412, decode.loss_dice: 0.6551, decode.d0.loss_cls: 1.1550, decode.d0.loss_mask: 0.4710, decode.d0.loss_dice: 0.7092, decode.d1.loss_cls: 0.2495, decode.d1.loss_mask: 0.4523, decode.d1.loss_dice: 0.6826, decode.d2.loss_cls: 0.2157, decode.d2.loss_mask: 0.4451, decode.d2.loss_dice: 0.6686, decode.d3.loss_cls: 0.2058, decode.d3.loss_mask: 0.4447, decode.d3.loss_dice: 0.6588, decode.d4.loss_cls: 0.1975, decode.d4.loss_mask: 0.4417, decode.d4.loss_dice: 0.6556, decode.d5.loss_cls: 0.1952, decode.d5.loss_mask: 0.4404, decode.d5.loss_dice: 0.6558, decode.d6.loss_cls: 0.1926, decode.d6.loss_mask: 0.4427, decode.d6.loss_dice: 0.6509, decode.d7.loss_cls: 0.1872, decode.d7.loss_mask: 0.4411, decode.d7.loss_dice: 0.6531, decode.d8.loss_cls: 0.1890, decode.d8.loss_mask: 0.4408, decode.d8.loss_dice: 0.6548, loss: 14.0751, grad_norm: 42.8319 2023-11-12 13:52:44,733 - mmseg - INFO - Iter [108600/160000] lr: 3.213e-05, eta: 7:09:28, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1819, decode.loss_mask: 0.4419, decode.loss_dice: 0.6626, decode.d0.loss_cls: 1.1284, decode.d0.loss_mask: 0.4786, decode.d0.loss_dice: 0.7339, decode.d1.loss_cls: 0.2416, decode.d1.loss_mask: 0.4598, decode.d1.loss_dice: 0.7006, decode.d2.loss_cls: 0.2093, decode.d2.loss_mask: 0.4497, decode.d2.loss_dice: 0.6850, decode.d3.loss_cls: 0.1994, decode.d3.loss_mask: 0.4448, decode.d3.loss_dice: 0.6693, decode.d4.loss_cls: 0.1921, decode.d4.loss_mask: 0.4428, decode.d4.loss_dice: 0.6687, decode.d5.loss_cls: 0.1866, decode.d5.loss_mask: 0.4427, decode.d5.loss_dice: 0.6697, decode.d6.loss_cls: 0.1836, decode.d6.loss_mask: 0.4433, decode.d6.loss_dice: 0.6655, decode.d7.loss_cls: 0.1818, decode.d7.loss_mask: 0.4435, decode.d7.loss_dice: 0.6645, decode.d8.loss_cls: 0.1840, decode.d8.loss_mask: 0.4434, decode.d8.loss_dice: 0.6643, loss: 14.1632, grad_norm: 48.0365 2023-11-12 13:53:10,945 - mmseg - INFO - Iter [108650/160000] lr: 3.209e-05, eta: 7:09:04, time: 0.524, data_time: 0.057, memory: 41146, decode.loss_cls: 0.1761, decode.loss_mask: 0.4346, decode.loss_dice: 0.6490, decode.d0.loss_cls: 1.1441, decode.d0.loss_mask: 0.4668, decode.d0.loss_dice: 0.7057, decode.d1.loss_cls: 0.2339, decode.d1.loss_mask: 0.4462, decode.d1.loss_dice: 0.6804, decode.d2.loss_cls: 0.2019, decode.d2.loss_mask: 0.4386, decode.d2.loss_dice: 0.6678, decode.d3.loss_cls: 0.1896, decode.d3.loss_mask: 0.4361, decode.d3.loss_dice: 0.6540, decode.d4.loss_cls: 0.1803, decode.d4.loss_mask: 0.4354, decode.d4.loss_dice: 0.6541, decode.d5.loss_cls: 0.1794, decode.d5.loss_mask: 0.4343, decode.d5.loss_dice: 0.6497, decode.d6.loss_cls: 0.1808, decode.d6.loss_mask: 0.4345, decode.d6.loss_dice: 0.6501, decode.d7.loss_cls: 0.1740, decode.d7.loss_mask: 0.4355, decode.d7.loss_dice: 0.6522, decode.d8.loss_cls: 0.1763, decode.d8.loss_mask: 0.4334, decode.d8.loss_dice: 0.6524, loss: 13.8470, grad_norm: 48.0920 2023-11-12 13:53:34,982 - mmseg - INFO - Iter [108700/160000] lr: 3.206e-05, eta: 7:08:38, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1868, decode.loss_mask: 0.4449, decode.loss_dice: 0.6646, decode.d0.loss_cls: 1.1625, decode.d0.loss_mask: 0.4832, decode.d0.loss_dice: 0.7265, decode.d1.loss_cls: 0.2436, decode.d1.loss_mask: 0.4622, decode.d1.loss_dice: 0.6978, decode.d2.loss_cls: 0.2101, decode.d2.loss_mask: 0.4520, decode.d2.loss_dice: 0.6806, decode.d3.loss_cls: 0.2040, decode.d3.loss_mask: 0.4493, decode.d3.loss_dice: 0.6716, decode.d4.loss_cls: 0.1965, decode.d4.loss_mask: 0.4491, decode.d4.loss_dice: 0.6704, decode.d5.loss_cls: 0.1926, decode.d5.loss_mask: 0.4466, decode.d5.loss_dice: 0.6658, decode.d6.loss_cls: 0.1974, decode.d6.loss_mask: 0.4441, decode.d6.loss_dice: 0.6615, decode.d7.loss_cls: 0.1899, decode.d7.loss_mask: 0.4432, decode.d7.loss_dice: 0.6687, decode.d8.loss_cls: 0.1851, decode.d8.loss_mask: 0.4444, decode.d8.loss_dice: 0.6704, loss: 14.2653, grad_norm: 54.5968 2023-11-12 13:53:58,827 - mmseg - INFO - Iter [108750/160000] lr: 3.203e-05, eta: 7:08:13, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1764, decode.loss_mask: 0.4346, decode.loss_dice: 0.6679, decode.d0.loss_cls: 1.1475, decode.d0.loss_mask: 0.4663, decode.d0.loss_dice: 0.7170, decode.d1.loss_cls: 0.2414, decode.d1.loss_mask: 0.4482, decode.d1.loss_dice: 0.6979, decode.d2.loss_cls: 0.2084, decode.d2.loss_mask: 0.4432, decode.d2.loss_dice: 0.6833, decode.d3.loss_cls: 0.1951, decode.d3.loss_mask: 0.4388, decode.d3.loss_dice: 0.6713, decode.d4.loss_cls: 0.1862, decode.d4.loss_mask: 0.4371, decode.d4.loss_dice: 0.6697, decode.d5.loss_cls: 0.1868, decode.d5.loss_mask: 0.4359, decode.d5.loss_dice: 0.6697, decode.d6.loss_cls: 0.1827, decode.d6.loss_mask: 0.4350, decode.d6.loss_dice: 0.6676, decode.d7.loss_cls: 0.1773, decode.d7.loss_mask: 0.4351, decode.d7.loss_dice: 0.6675, decode.d8.loss_cls: 0.1750, decode.d8.loss_mask: 0.4347, decode.d8.loss_dice: 0.6728, loss: 14.0704, grad_norm: 49.3411 2023-11-12 13:54:22,980 - mmseg - INFO - Iter [108800/160000] lr: 3.200e-05, eta: 7:07:47, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1791, decode.loss_mask: 0.4462, decode.loss_dice: 0.6772, decode.d0.loss_cls: 1.1246, decode.d0.loss_mask: 0.4814, decode.d0.loss_dice: 0.7403, decode.d1.loss_cls: 0.2370, decode.d1.loss_mask: 0.4570, decode.d1.loss_dice: 0.7099, decode.d2.loss_cls: 0.2154, decode.d2.loss_mask: 0.4513, decode.d2.loss_dice: 0.6920, decode.d3.loss_cls: 0.1907, decode.d3.loss_mask: 0.4486, decode.d3.loss_dice: 0.6795, decode.d4.loss_cls: 0.1852, decode.d4.loss_mask: 0.4480, decode.d4.loss_dice: 0.6818, decode.d5.loss_cls: 0.1826, decode.d5.loss_mask: 0.4486, decode.d5.loss_dice: 0.6747, decode.d6.loss_cls: 0.1838, decode.d6.loss_mask: 0.4473, decode.d6.loss_dice: 0.6715, decode.d7.loss_cls: 0.1754, decode.d7.loss_mask: 0.4466, decode.d7.loss_dice: 0.6796, decode.d8.loss_cls: 0.1749, decode.d8.loss_mask: 0.4470, decode.d8.loss_dice: 0.6754, loss: 14.2525, grad_norm: 43.7949 2023-11-12 13:54:47,958 - mmseg - INFO - Iter [108850/160000] lr: 3.197e-05, eta: 7:07:22, time: 0.500, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1918, decode.loss_mask: 0.4576, decode.loss_dice: 0.6732, decode.d0.loss_cls: 1.1594, decode.d0.loss_mask: 0.4909, decode.d0.loss_dice: 0.7305, decode.d1.loss_cls: 0.2566, decode.d1.loss_mask: 0.4729, decode.d1.loss_dice: 0.7060, decode.d2.loss_cls: 0.2181, decode.d2.loss_mask: 0.4653, decode.d2.loss_dice: 0.6907, decode.d3.loss_cls: 0.2125, decode.d3.loss_mask: 0.4602, decode.d3.loss_dice: 0.6805, decode.d4.loss_cls: 0.2044, decode.d4.loss_mask: 0.4604, decode.d4.loss_dice: 0.6824, decode.d5.loss_cls: 0.1999, decode.d5.loss_mask: 0.4603, decode.d5.loss_dice: 0.6750, decode.d6.loss_cls: 0.1981, decode.d6.loss_mask: 0.4569, decode.d6.loss_dice: 0.6710, decode.d7.loss_cls: 0.1964, decode.d7.loss_mask: 0.4569, decode.d7.loss_dice: 0.6773, decode.d8.loss_cls: 0.1912, decode.d8.loss_mask: 0.4569, decode.d8.loss_dice: 0.6733, loss: 14.5267, grad_norm: 45.0076 2023-11-12 13:55:13,137 - mmseg - INFO - Iter [108900/160000] lr: 3.194e-05, eta: 7:06:57, time: 0.504, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1845, decode.loss_mask: 0.4419, decode.loss_dice: 0.6913, decode.d0.loss_cls: 1.1656, decode.d0.loss_mask: 0.4784, decode.d0.loss_dice: 0.7581, decode.d1.loss_cls: 0.2533, decode.d1.loss_mask: 0.4583, decode.d1.loss_dice: 0.7234, decode.d2.loss_cls: 0.2198, decode.d2.loss_mask: 0.4473, decode.d2.loss_dice: 0.7073, decode.d3.loss_cls: 0.2115, decode.d3.loss_mask: 0.4421, decode.d3.loss_dice: 0.6933, decode.d4.loss_cls: 0.1994, decode.d4.loss_mask: 0.4419, decode.d4.loss_dice: 0.6912, decode.d5.loss_cls: 0.1933, decode.d5.loss_mask: 0.4425, decode.d5.loss_dice: 0.6928, decode.d6.loss_cls: 0.1911, decode.d6.loss_mask: 0.4409, decode.d6.loss_dice: 0.6899, decode.d7.loss_cls: 0.1836, decode.d7.loss_mask: 0.4410, decode.d7.loss_dice: 0.6922, decode.d8.loss_cls: 0.1887, decode.d8.loss_mask: 0.4409, decode.d8.loss_dice: 0.6893, loss: 14.4951, grad_norm: 51.8491 2023-11-12 13:55:37,920 - mmseg - INFO - Iter [108950/160000] lr: 3.191e-05, eta: 7:06:32, time: 0.496, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1833, decode.loss_mask: 0.4307, decode.loss_dice: 0.6422, decode.d0.loss_cls: 1.1648, decode.d0.loss_mask: 0.4649, decode.d0.loss_dice: 0.7099, decode.d1.loss_cls: 0.2446, decode.d1.loss_mask: 0.4479, decode.d1.loss_dice: 0.6777, decode.d2.loss_cls: 0.2206, decode.d2.loss_mask: 0.4356, decode.d2.loss_dice: 0.6595, decode.d3.loss_cls: 0.2046, decode.d3.loss_mask: 0.4306, decode.d3.loss_dice: 0.6494, decode.d4.loss_cls: 0.1978, decode.d4.loss_mask: 0.4303, decode.d4.loss_dice: 0.6524, decode.d5.loss_cls: 0.1915, decode.d5.loss_mask: 0.4305, decode.d5.loss_dice: 0.6518, decode.d6.loss_cls: 0.1883, decode.d6.loss_mask: 0.4297, decode.d6.loss_dice: 0.6452, decode.d7.loss_cls: 0.1866, decode.d7.loss_mask: 0.4296, decode.d7.loss_dice: 0.6446, decode.d8.loss_cls: 0.1855, decode.d8.loss_mask: 0.4307, decode.d8.loss_dice: 0.6465, loss: 13.9074, grad_norm: 46.6833 2023-11-12 13:56:02,229 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 13:56:02,229 - mmseg - INFO - Iter [109000/160000] lr: 3.188e-05, eta: 7:06:06, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1652, decode.loss_mask: 0.4313, decode.loss_dice: 0.6454, decode.d0.loss_cls: 1.0903, decode.d0.loss_mask: 0.4575, decode.d0.loss_dice: 0.7053, decode.d1.loss_cls: 0.2166, decode.d1.loss_mask: 0.4410, decode.d1.loss_dice: 0.6781, decode.d2.loss_cls: 0.1916, decode.d2.loss_mask: 0.4358, decode.d2.loss_dice: 0.6649, decode.d3.loss_cls: 0.1794, decode.d3.loss_mask: 0.4333, decode.d3.loss_dice: 0.6549, decode.d4.loss_cls: 0.1739, decode.d4.loss_mask: 0.4311, decode.d4.loss_dice: 0.6521, decode.d5.loss_cls: 0.1678, decode.d5.loss_mask: 0.4322, decode.d5.loss_dice: 0.6529, decode.d6.loss_cls: 0.1672, decode.d6.loss_mask: 0.4322, decode.d6.loss_dice: 0.6484, decode.d7.loss_cls: 0.1609, decode.d7.loss_mask: 0.4328, decode.d7.loss_dice: 0.6545, decode.d8.loss_cls: 0.1607, decode.d8.loss_mask: 0.4313, decode.d8.loss_dice: 0.6522, loss: 13.6408, grad_norm: 45.0474 2023-11-12 13:56:26,081 - mmseg - INFO - Iter [109050/160000] lr: 3.184e-05, eta: 7:05:41, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1800, decode.loss_mask: 0.4436, decode.loss_dice: 0.6600, decode.d0.loss_cls: 1.1690, decode.d0.loss_mask: 0.4741, decode.d0.loss_dice: 0.7143, decode.d1.loss_cls: 0.2445, decode.d1.loss_mask: 0.4569, decode.d1.loss_dice: 0.6903, decode.d2.loss_cls: 0.2054, decode.d2.loss_mask: 0.4522, decode.d2.loss_dice: 0.6716, decode.d3.loss_cls: 0.1974, decode.d3.loss_mask: 0.4475, decode.d3.loss_dice: 0.6619, decode.d4.loss_cls: 0.1881, decode.d4.loss_mask: 0.4455, decode.d4.loss_dice: 0.6629, decode.d5.loss_cls: 0.1858, decode.d5.loss_mask: 0.4464, decode.d5.loss_dice: 0.6554, decode.d6.loss_cls: 0.1802, decode.d6.loss_mask: 0.4465, decode.d6.loss_dice: 0.6531, decode.d7.loss_cls: 0.1813, decode.d7.loss_mask: 0.4439, decode.d7.loss_dice: 0.6585, decode.d8.loss_cls: 0.1807, decode.d8.loss_mask: 0.4451, decode.d8.loss_dice: 0.6606, loss: 14.1027, grad_norm: 43.8677 2023-11-12 13:56:50,357 - mmseg - INFO - Iter [109100/160000] lr: 3.181e-05, eta: 7:05:15, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1875, decode.loss_mask: 0.4414, decode.loss_dice: 0.6635, decode.d0.loss_cls: 1.1469, decode.d0.loss_mask: 0.4736, decode.d0.loss_dice: 0.7284, decode.d1.loss_cls: 0.2517, decode.d1.loss_mask: 0.4537, decode.d1.loss_dice: 0.6955, decode.d2.loss_cls: 0.2246, decode.d2.loss_mask: 0.4475, decode.d2.loss_dice: 0.6776, decode.d3.loss_cls: 0.2101, decode.d3.loss_mask: 0.4445, decode.d3.loss_dice: 0.6660, decode.d4.loss_cls: 0.2010, decode.d4.loss_mask: 0.4427, decode.d4.loss_dice: 0.6684, decode.d5.loss_cls: 0.1975, decode.d5.loss_mask: 0.4413, decode.d5.loss_dice: 0.6646, decode.d6.loss_cls: 0.1941, decode.d6.loss_mask: 0.4408, decode.d6.loss_dice: 0.6665, decode.d7.loss_cls: 0.1901, decode.d7.loss_mask: 0.4404, decode.d7.loss_dice: 0.6651, decode.d8.loss_cls: 0.1882, decode.d8.loss_mask: 0.4403, decode.d8.loss_dice: 0.6619, loss: 14.2153, grad_norm: 45.2492 2023-11-12 13:57:14,719 - mmseg - INFO - Iter [109150/160000] lr: 3.178e-05, eta: 7:04:50, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1733, decode.loss_mask: 0.4272, decode.loss_dice: 0.6626, decode.d0.loss_cls: 1.1285, decode.d0.loss_mask: 0.4585, decode.d0.loss_dice: 0.7194, decode.d1.loss_cls: 0.2381, decode.d1.loss_mask: 0.4363, decode.d1.loss_dice: 0.6967, decode.d2.loss_cls: 0.2057, decode.d2.loss_mask: 0.4298, decode.d2.loss_dice: 0.6800, decode.d3.loss_cls: 0.1968, decode.d3.loss_mask: 0.4272, decode.d3.loss_dice: 0.6716, decode.d4.loss_cls: 0.1891, decode.d4.loss_mask: 0.4271, decode.d4.loss_dice: 0.6699, decode.d5.loss_cls: 0.1781, decode.d5.loss_mask: 0.4273, decode.d5.loss_dice: 0.6745, decode.d6.loss_cls: 0.1796, decode.d6.loss_mask: 0.4274, decode.d6.loss_dice: 0.6638, decode.d7.loss_cls: 0.1755, decode.d7.loss_mask: 0.4278, decode.d7.loss_dice: 0.6662, decode.d8.loss_cls: 0.1735, decode.d8.loss_mask: 0.4270, decode.d8.loss_dice: 0.6652, loss: 13.9237, grad_norm: 46.3805 2023-11-12 13:57:39,305 - mmseg - INFO - Iter [109200/160000] lr: 3.175e-05, eta: 7:04:25, time: 0.492, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1680, decode.loss_mask: 0.4391, decode.loss_dice: 0.6468, decode.d0.loss_cls: 1.1234, decode.d0.loss_mask: 0.4682, decode.d0.loss_dice: 0.7035, decode.d1.loss_cls: 0.2331, decode.d1.loss_mask: 0.4515, decode.d1.loss_dice: 0.6763, decode.d2.loss_cls: 0.2027, decode.d2.loss_mask: 0.4457, decode.d2.loss_dice: 0.6632, decode.d3.loss_cls: 0.1858, decode.d3.loss_mask: 0.4409, decode.d3.loss_dice: 0.6477, decode.d4.loss_cls: 0.1742, decode.d4.loss_mask: 0.4395, decode.d4.loss_dice: 0.6494, decode.d5.loss_cls: 0.1672, decode.d5.loss_mask: 0.4399, decode.d5.loss_dice: 0.6525, decode.d6.loss_cls: 0.1697, decode.d6.loss_mask: 0.4384, decode.d6.loss_dice: 0.6494, decode.d7.loss_cls: 0.1654, decode.d7.loss_mask: 0.4388, decode.d7.loss_dice: 0.6508, decode.d8.loss_cls: 0.1697, decode.d8.loss_mask: 0.4391, decode.d8.loss_dice: 0.6477, loss: 13.7875, grad_norm: 47.9900 2023-11-12 13:58:03,248 - mmseg - INFO - Iter [109250/160000] lr: 3.172e-05, eta: 7:03:59, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1816, decode.loss_mask: 0.4310, decode.loss_dice: 0.6688, decode.d0.loss_cls: 1.1561, decode.d0.loss_mask: 0.4674, decode.d0.loss_dice: 0.7295, decode.d1.loss_cls: 0.2491, decode.d1.loss_mask: 0.4497, decode.d1.loss_dice: 0.7007, decode.d2.loss_cls: 0.2191, decode.d2.loss_mask: 0.4409, decode.d2.loss_dice: 0.6854, decode.d3.loss_cls: 0.2002, decode.d3.loss_mask: 0.4341, decode.d3.loss_dice: 0.6722, decode.d4.loss_cls: 0.1940, decode.d4.loss_mask: 0.4330, decode.d4.loss_dice: 0.6702, decode.d5.loss_cls: 0.1908, decode.d5.loss_mask: 0.4320, decode.d5.loss_dice: 0.6740, decode.d6.loss_cls: 0.1869, decode.d6.loss_mask: 0.4318, decode.d6.loss_dice: 0.6697, decode.d7.loss_cls: 0.1847, decode.d7.loss_mask: 0.4312, decode.d7.loss_dice: 0.6703, decode.d8.loss_cls: 0.1791, decode.d8.loss_mask: 0.4310, decode.d8.loss_dice: 0.6680, loss: 14.1326, grad_norm: 48.3671 2023-11-12 13:58:26,987 - mmseg - INFO - Iter [109300/160000] lr: 3.169e-05, eta: 7:03:33, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1689, decode.loss_mask: 0.4296, decode.loss_dice: 0.6495, decode.d0.loss_cls: 1.1101, decode.d0.loss_mask: 0.4624, decode.d0.loss_dice: 0.7119, decode.d1.loss_cls: 0.2280, decode.d1.loss_mask: 0.4424, decode.d1.loss_dice: 0.6849, decode.d2.loss_cls: 0.1979, decode.d2.loss_mask: 0.4351, decode.d2.loss_dice: 0.6703, decode.d3.loss_cls: 0.1850, decode.d3.loss_mask: 0.4321, decode.d3.loss_dice: 0.6536, decode.d4.loss_cls: 0.1713, decode.d4.loss_mask: 0.4318, decode.d4.loss_dice: 0.6603, decode.d5.loss_cls: 0.1747, decode.d5.loss_mask: 0.4300, decode.d5.loss_dice: 0.6581, decode.d6.loss_cls: 0.1746, decode.d6.loss_mask: 0.4291, decode.d6.loss_dice: 0.6522, decode.d7.loss_cls: 0.1686, decode.d7.loss_mask: 0.4289, decode.d7.loss_dice: 0.6554, decode.d8.loss_cls: 0.1703, decode.d8.loss_mask: 0.4290, decode.d8.loss_dice: 0.6535, loss: 13.7497, grad_norm: 48.2140 2023-11-12 13:58:50,681 - mmseg - INFO - Iter [109350/160000] lr: 3.166e-05, eta: 7:03:08, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1718, decode.loss_mask: 0.4334, decode.loss_dice: 0.6525, decode.d0.loss_cls: 1.1216, decode.d0.loss_mask: 0.4661, decode.d0.loss_dice: 0.7145, decode.d1.loss_cls: 0.2314, decode.d1.loss_mask: 0.4466, decode.d1.loss_dice: 0.6875, decode.d2.loss_cls: 0.1971, decode.d2.loss_mask: 0.4413, decode.d2.loss_dice: 0.6760, decode.d3.loss_cls: 0.1891, decode.d3.loss_mask: 0.4358, decode.d3.loss_dice: 0.6551, decode.d4.loss_cls: 0.1850, decode.d4.loss_mask: 0.4357, decode.d4.loss_dice: 0.6576, decode.d5.loss_cls: 0.1798, decode.d5.loss_mask: 0.4357, decode.d5.loss_dice: 0.6554, decode.d6.loss_cls: 0.1753, decode.d6.loss_mask: 0.4351, decode.d6.loss_dice: 0.6555, decode.d7.loss_cls: 0.1738, decode.d7.loss_mask: 0.4342, decode.d7.loss_dice: 0.6558, decode.d8.loss_cls: 0.1724, decode.d8.loss_mask: 0.4346, decode.d8.loss_dice: 0.6530, loss: 13.8588, grad_norm: 45.7578 2023-11-12 13:59:14,483 - mmseg - INFO - Iter [109400/160000] lr: 3.163e-05, eta: 7:02:42, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1676, decode.loss_mask: 0.4310, decode.loss_dice: 0.6703, decode.d0.loss_cls: 1.1668, decode.d0.loss_mask: 0.4633, decode.d0.loss_dice: 0.7217, decode.d1.loss_cls: 0.2424, decode.d1.loss_mask: 0.4476, decode.d1.loss_dice: 0.7027, decode.d2.loss_cls: 0.1992, decode.d2.loss_mask: 0.4418, decode.d2.loss_dice: 0.6862, decode.d3.loss_cls: 0.1906, decode.d3.loss_mask: 0.4349, decode.d3.loss_dice: 0.6737, decode.d4.loss_cls: 0.1768, decode.d4.loss_mask: 0.4354, decode.d4.loss_dice: 0.6810, decode.d5.loss_cls: 0.1736, decode.d5.loss_mask: 0.4342, decode.d5.loss_dice: 0.6773, decode.d6.loss_cls: 0.1733, decode.d6.loss_mask: 0.4326, decode.d6.loss_dice: 0.6748, decode.d7.loss_cls: 0.1697, decode.d7.loss_mask: 0.4325, decode.d7.loss_dice: 0.6700, decode.d8.loss_cls: 0.1668, decode.d8.loss_mask: 0.4319, decode.d8.loss_dice: 0.6742, loss: 14.0440, grad_norm: 47.3593 2023-11-12 13:59:38,593 - mmseg - INFO - Iter [109450/160000] lr: 3.159e-05, eta: 7:02:16, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1623, decode.loss_mask: 0.4247, decode.loss_dice: 0.6502, decode.d0.loss_cls: 1.1420, decode.d0.loss_mask: 0.4578, decode.d0.loss_dice: 0.7054, decode.d1.loss_cls: 0.2237, decode.d1.loss_mask: 0.4381, decode.d1.loss_dice: 0.6822, decode.d2.loss_cls: 0.1910, decode.d2.loss_mask: 0.4302, decode.d2.loss_dice: 0.6624, decode.d3.loss_cls: 0.1823, decode.d3.loss_mask: 0.4280, decode.d3.loss_dice: 0.6546, decode.d4.loss_cls: 0.1747, decode.d4.loss_mask: 0.4263, decode.d4.loss_dice: 0.6529, decode.d5.loss_cls: 0.1720, decode.d5.loss_mask: 0.4253, decode.d5.loss_dice: 0.6544, decode.d6.loss_cls: 0.1687, decode.d6.loss_mask: 0.4263, decode.d6.loss_dice: 0.6464, decode.d7.loss_cls: 0.1629, decode.d7.loss_mask: 0.4265, decode.d7.loss_dice: 0.6500, decode.d8.loss_cls: 0.1600, decode.d8.loss_mask: 0.4256, decode.d8.loss_dice: 0.6495, loss: 13.6561, grad_norm: 46.2941 2023-11-12 14:00:02,510 - mmseg - INFO - Iter [109500/160000] lr: 3.156e-05, eta: 7:01:51, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1739, decode.loss_mask: 0.4292, decode.loss_dice: 0.6503, decode.d0.loss_cls: 1.1533, decode.d0.loss_mask: 0.4570, decode.d0.loss_dice: 0.7092, decode.d1.loss_cls: 0.2381, decode.d1.loss_mask: 0.4429, decode.d1.loss_dice: 0.6872, decode.d2.loss_cls: 0.2072, decode.d2.loss_mask: 0.4376, decode.d2.loss_dice: 0.6708, decode.d3.loss_cls: 0.1984, decode.d3.loss_mask: 0.4313, decode.d3.loss_dice: 0.6584, decode.d4.loss_cls: 0.1877, decode.d4.loss_mask: 0.4308, decode.d4.loss_dice: 0.6566, decode.d5.loss_cls: 0.1877, decode.d5.loss_mask: 0.4277, decode.d5.loss_dice: 0.6571, decode.d6.loss_cls: 0.1792, decode.d6.loss_mask: 0.4292, decode.d6.loss_dice: 0.6527, decode.d7.loss_cls: 0.1807, decode.d7.loss_mask: 0.4289, decode.d7.loss_dice: 0.6565, decode.d8.loss_cls: 0.1777, decode.d8.loss_mask: 0.4292, decode.d8.loss_dice: 0.6538, loss: 13.8800, grad_norm: 45.7911 2023-11-12 14:00:26,871 - mmseg - INFO - Iter [109550/160000] lr: 3.153e-05, eta: 7:01:25, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1903, decode.loss_mask: 0.4247, decode.loss_dice: 0.6653, decode.d0.loss_cls: 1.1784, decode.d0.loss_mask: 0.4541, decode.d0.loss_dice: 0.7176, decode.d1.loss_cls: 0.2576, decode.d1.loss_mask: 0.4369, decode.d1.loss_dice: 0.6948, decode.d2.loss_cls: 0.2218, decode.d2.loss_mask: 0.4310, decode.d2.loss_dice: 0.6822, decode.d3.loss_cls: 0.2154, decode.d3.loss_mask: 0.4277, decode.d3.loss_dice: 0.6659, decode.d4.loss_cls: 0.2030, decode.d4.loss_mask: 0.4277, decode.d4.loss_dice: 0.6682, decode.d5.loss_cls: 0.1987, decode.d5.loss_mask: 0.4283, decode.d5.loss_dice: 0.6679, decode.d6.loss_cls: 0.1950, decode.d6.loss_mask: 0.4265, decode.d6.loss_dice: 0.6624, decode.d7.loss_cls: 0.1891, decode.d7.loss_mask: 0.4272, decode.d7.loss_dice: 0.6669, decode.d8.loss_cls: 0.1903, decode.d8.loss_mask: 0.4259, decode.d8.loss_dice: 0.6631, loss: 14.1038, grad_norm: 46.0028 2023-11-12 14:00:51,549 - mmseg - INFO - Iter [109600/160000] lr: 3.150e-05, eta: 7:01:00, time: 0.494, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1807, decode.loss_mask: 0.4395, decode.loss_dice: 0.6617, decode.d0.loss_cls: 1.1371, decode.d0.loss_mask: 0.4755, decode.d0.loss_dice: 0.7213, decode.d1.loss_cls: 0.2444, decode.d1.loss_mask: 0.4498, decode.d1.loss_dice: 0.6903, decode.d2.loss_cls: 0.2101, decode.d2.loss_mask: 0.4452, decode.d2.loss_dice: 0.6784, decode.d3.loss_cls: 0.1989, decode.d3.loss_mask: 0.4417, decode.d3.loss_dice: 0.6679, decode.d4.loss_cls: 0.1948, decode.d4.loss_mask: 0.4406, decode.d4.loss_dice: 0.6666, decode.d5.loss_cls: 0.1863, decode.d5.loss_mask: 0.4410, decode.d5.loss_dice: 0.6640, decode.d6.loss_cls: 0.1868, decode.d6.loss_mask: 0.4406, decode.d6.loss_dice: 0.6562, decode.d7.loss_cls: 0.1806, decode.d7.loss_mask: 0.4402, decode.d7.loss_dice: 0.6598, decode.d8.loss_cls: 0.1805, decode.d8.loss_mask: 0.4403, decode.d8.loss_dice: 0.6614, loss: 14.0819, grad_norm: 48.1877 2023-11-12 14:01:16,222 - mmseg - INFO - Iter [109650/160000] lr: 3.147e-05, eta: 7:00:35, time: 0.493, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1735, decode.loss_mask: 0.4374, decode.loss_dice: 0.6526, decode.d0.loss_cls: 1.1540, decode.d0.loss_mask: 0.4692, decode.d0.loss_dice: 0.7123, decode.d1.loss_cls: 0.2398, decode.d1.loss_mask: 0.4500, decode.d1.loss_dice: 0.6848, decode.d2.loss_cls: 0.2089, decode.d2.loss_mask: 0.4435, decode.d2.loss_dice: 0.6736, decode.d3.loss_cls: 0.1960, decode.d3.loss_mask: 0.4402, decode.d3.loss_dice: 0.6565, decode.d4.loss_cls: 0.1880, decode.d4.loss_mask: 0.4383, decode.d4.loss_dice: 0.6579, decode.d5.loss_cls: 0.1853, decode.d5.loss_mask: 0.4372, decode.d5.loss_dice: 0.6555, decode.d6.loss_cls: 0.1809, decode.d6.loss_mask: 0.4374, decode.d6.loss_dice: 0.6520, decode.d7.loss_cls: 0.1776, decode.d7.loss_mask: 0.4375, decode.d7.loss_dice: 0.6536, decode.d8.loss_cls: 0.1786, decode.d8.loss_mask: 0.4372, decode.d8.loss_dice: 0.6514, loss: 13.9607, grad_norm: 47.7618 2023-11-12 14:01:40,825 - mmseg - INFO - Iter [109700/160000] lr: 3.144e-05, eta: 7:00:10, time: 0.492, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1880, decode.loss_mask: 0.4235, decode.loss_dice: 0.6819, decode.d0.loss_cls: 1.2003, decode.d0.loss_mask: 0.4524, decode.d0.loss_dice: 0.7349, decode.d1.loss_cls: 0.2549, decode.d1.loss_mask: 0.4344, decode.d1.loss_dice: 0.7084, decode.d2.loss_cls: 0.2273, decode.d2.loss_mask: 0.4268, decode.d2.loss_dice: 0.6928, decode.d3.loss_cls: 0.2130, decode.d3.loss_mask: 0.4257, decode.d3.loss_dice: 0.6816, decode.d4.loss_cls: 0.2059, decode.d4.loss_mask: 0.4240, decode.d4.loss_dice: 0.6839, decode.d5.loss_cls: 0.1930, decode.d5.loss_mask: 0.4246, decode.d5.loss_dice: 0.6843, decode.d6.loss_cls: 0.1915, decode.d6.loss_mask: 0.4235, decode.d6.loss_dice: 0.6821, decode.d7.loss_cls: 0.1904, decode.d7.loss_mask: 0.4230, decode.d7.loss_dice: 0.6799, decode.d8.loss_cls: 0.1903, decode.d8.loss_mask: 0.4231, decode.d8.loss_dice: 0.6811, loss: 14.2465, grad_norm: 47.0333 2023-11-12 14:02:05,306 - mmseg - INFO - Iter [109750/160000] lr: 3.141e-05, eta: 6:59:44, time: 0.490, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1820, decode.loss_mask: 0.4347, decode.loss_dice: 0.6802, decode.d0.loss_cls: 1.1798, decode.d0.loss_mask: 0.4728, decode.d0.loss_dice: 0.7478, decode.d1.loss_cls: 0.2534, decode.d1.loss_mask: 0.4514, decode.d1.loss_dice: 0.7139, decode.d2.loss_cls: 0.2165, decode.d2.loss_mask: 0.4414, decode.d2.loss_dice: 0.6979, decode.d3.loss_cls: 0.1998, decode.d3.loss_mask: 0.4375, decode.d3.loss_dice: 0.6859, decode.d4.loss_cls: 0.1936, decode.d4.loss_mask: 0.4356, decode.d4.loss_dice: 0.6850, decode.d5.loss_cls: 0.1878, decode.d5.loss_mask: 0.4350, decode.d5.loss_dice: 0.6832, decode.d6.loss_cls: 0.1883, decode.d6.loss_mask: 0.4353, decode.d6.loss_dice: 0.6784, decode.d7.loss_cls: 0.1840, decode.d7.loss_mask: 0.4356, decode.d7.loss_dice: 0.6804, decode.d8.loss_cls: 0.1815, decode.d8.loss_mask: 0.4358, decode.d8.loss_dice: 0.6822, loss: 14.3165, grad_norm: 45.5881 2023-11-12 14:02:29,209 - mmseg - INFO - Iter [109800/160000] lr: 3.138e-05, eta: 6:59:19, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1685, decode.loss_mask: 0.4326, decode.loss_dice: 0.6550, decode.d0.loss_cls: 1.1385, decode.d0.loss_mask: 0.4663, decode.d0.loss_dice: 0.7133, decode.d1.loss_cls: 0.2370, decode.d1.loss_mask: 0.4470, decode.d1.loss_dice: 0.6854, decode.d2.loss_cls: 0.1972, decode.d2.loss_mask: 0.4391, decode.d2.loss_dice: 0.6680, decode.d3.loss_cls: 0.1871, decode.d3.loss_mask: 0.4361, decode.d3.loss_dice: 0.6575, decode.d4.loss_cls: 0.1759, decode.d4.loss_mask: 0.4346, decode.d4.loss_dice: 0.6594, decode.d5.loss_cls: 0.1766, decode.d5.loss_mask: 0.4327, decode.d5.loss_dice: 0.6598, decode.d6.loss_cls: 0.1754, decode.d6.loss_mask: 0.4323, decode.d6.loss_dice: 0.6522, decode.d7.loss_cls: 0.1710, decode.d7.loss_mask: 0.4329, decode.d7.loss_dice: 0.6489, decode.d8.loss_cls: 0.1684, decode.d8.loss_mask: 0.4315, decode.d8.loss_dice: 0.6533, loss: 13.8333, grad_norm: 45.1709 2023-11-12 14:02:53,437 - mmseg - INFO - Iter [109850/160000] lr: 3.134e-05, eta: 6:58:53, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1725, decode.loss_mask: 0.4344, decode.loss_dice: 0.6502, decode.d0.loss_cls: 1.1480, decode.d0.loss_mask: 0.4651, decode.d0.loss_dice: 0.7094, decode.d1.loss_cls: 0.2402, decode.d1.loss_mask: 0.4459, decode.d1.loss_dice: 0.6808, decode.d2.loss_cls: 0.2112, decode.d2.loss_mask: 0.4382, decode.d2.loss_dice: 0.6655, decode.d3.loss_cls: 0.1972, decode.d3.loss_mask: 0.4359, decode.d3.loss_dice: 0.6522, decode.d4.loss_cls: 0.1803, decode.d4.loss_mask: 0.4338, decode.d4.loss_dice: 0.6528, decode.d5.loss_cls: 0.1807, decode.d5.loss_mask: 0.4342, decode.d5.loss_dice: 0.6503, decode.d6.loss_cls: 0.1802, decode.d6.loss_mask: 0.4345, decode.d6.loss_dice: 0.6477, decode.d7.loss_cls: 0.1740, decode.d7.loss_mask: 0.4354, decode.d7.loss_dice: 0.6474, decode.d8.loss_cls: 0.1725, decode.d8.loss_mask: 0.4345, decode.d8.loss_dice: 0.6494, loss: 13.8544, grad_norm: 46.4033 2023-11-12 14:03:20,526 - mmseg - INFO - Iter [109900/160000] lr: 3.131e-05, eta: 6:58:29, time: 0.542, data_time: 0.060, memory: 41146, decode.loss_cls: 0.1685, decode.loss_mask: 0.4177, decode.loss_dice: 0.6688, decode.d0.loss_cls: 1.1537, decode.d0.loss_mask: 0.4527, decode.d0.loss_dice: 0.7248, decode.d1.loss_cls: 0.2268, decode.d1.loss_mask: 0.4338, decode.d1.loss_dice: 0.7016, decode.d2.loss_cls: 0.1936, decode.d2.loss_mask: 0.4256, decode.d2.loss_dice: 0.6861, decode.d3.loss_cls: 0.1850, decode.d3.loss_mask: 0.4226, decode.d3.loss_dice: 0.6747, decode.d4.loss_cls: 0.1751, decode.d4.loss_mask: 0.4217, decode.d4.loss_dice: 0.6738, decode.d5.loss_cls: 0.1733, decode.d5.loss_mask: 0.4212, decode.d5.loss_dice: 0.6698, decode.d6.loss_cls: 0.1711, decode.d6.loss_mask: 0.4198, decode.d6.loss_dice: 0.6670, decode.d7.loss_cls: 0.1697, decode.d7.loss_mask: 0.4189, decode.d7.loss_dice: 0.6707, decode.d8.loss_cls: 0.1645, decode.d8.loss_mask: 0.4186, decode.d8.loss_dice: 0.6683, loss: 13.8396, grad_norm: 43.9391 2023-11-12 14:03:44,997 - mmseg - INFO - Iter [109950/160000] lr: 3.128e-05, eta: 6:58:04, time: 0.489, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1650, decode.loss_mask: 0.4430, decode.loss_dice: 0.6374, decode.d0.loss_cls: 1.1257, decode.d0.loss_mask: 0.4751, decode.d0.loss_dice: 0.7011, decode.d1.loss_cls: 0.2340, decode.d1.loss_mask: 0.4544, decode.d1.loss_dice: 0.6737, decode.d2.loss_cls: 0.1959, decode.d2.loss_mask: 0.4466, decode.d2.loss_dice: 0.6526, decode.d3.loss_cls: 0.1818, decode.d3.loss_mask: 0.4445, decode.d3.loss_dice: 0.6440, decode.d4.loss_cls: 0.1771, decode.d4.loss_mask: 0.4442, decode.d4.loss_dice: 0.6444, decode.d5.loss_cls: 0.1736, decode.d5.loss_mask: 0.4449, decode.d5.loss_dice: 0.6445, decode.d6.loss_cls: 0.1713, decode.d6.loss_mask: 0.4438, decode.d6.loss_dice: 0.6406, decode.d7.loss_cls: 0.1690, decode.d7.loss_mask: 0.4424, decode.d7.loss_dice: 0.6383, decode.d8.loss_cls: 0.1666, decode.d8.loss_mask: 0.4432, decode.d8.loss_dice: 0.6388, loss: 13.7573, grad_norm: 44.7880 2023-11-12 14:04:09,191 - mmseg - INFO - Saving checkpoint at 110000 iterations 2023-11-12 14:04:13,346 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 14:04:13,346 - mmseg - INFO - Iter [110000/160000] lr: 3.125e-05, eta: 6:57:40, time: 0.567, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1825, decode.loss_mask: 0.4252, decode.loss_dice: 0.6721, decode.d0.loss_cls: 1.1850, decode.d0.loss_mask: 0.4625, decode.d0.loss_dice: 0.7355, decode.d1.loss_cls: 0.2558, decode.d1.loss_mask: 0.4417, decode.d1.loss_dice: 0.7045, decode.d2.loss_cls: 0.2191, decode.d2.loss_mask: 0.4352, decode.d2.loss_dice: 0.6876, decode.d3.loss_cls: 0.2077, decode.d3.loss_mask: 0.4305, decode.d3.loss_dice: 0.6774, decode.d4.loss_cls: 0.2001, decode.d4.loss_mask: 0.4277, decode.d4.loss_dice: 0.6839, decode.d5.loss_cls: 0.1955, decode.d5.loss_mask: 0.4274, decode.d5.loss_dice: 0.6772, decode.d6.loss_cls: 0.1939, decode.d6.loss_mask: 0.4255, decode.d6.loss_dice: 0.6717, decode.d7.loss_cls: 0.1858, decode.d7.loss_mask: 0.4268, decode.d7.loss_dice: 0.6771, decode.d8.loss_cls: 0.1847, decode.d8.loss_mask: 0.4252, decode.d8.loss_dice: 0.6753, loss: 14.2003, grad_norm: 45.9903 2023-11-12 14:04:32,768 - mmseg - INFO - per class results: 2023-11-12 14:04:32,774 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.97 | 87.63 | | building | 82.77 | 90.22 | | sky | 94.81 | 97.16 | | floor | 83.39 | 90.41 | | tree | 75.07 | 88.38 | | ceiling | 83.96 | 90.46 | | road | 85.02 | 91.65 | | bed | 90.11 | 96.04 | | windowpane | 63.86 | 81.46 | | grass | 65.5 | 78.15 | | cabinet | 65.48 | 78.76 | | sidewalk | 68.25 | 80.46 | | person | 84.68 | 92.38 | | earth | 40.63 | 57.94 | | door | 52.54 | 69.32 | | table | 66.24 | 77.54 | | mountain | 62.55 | 77.66 | | plant | 53.38 | 69.08 | | curtain | 77.82 | 88.77 | | chair | 62.84 | 75.18 | | car | 85.2 | 91.66 | | water | 59.81 | 73.91 | | painting | 74.19 | 87.88 | | sofa | 71.43 | 84.07 | | shelf | 45.94 | 64.71 | | house | 44.45 | 81.94 | | sea | 74.51 | 90.46 | | mirror | 71.5 | 82.7 | | rug | 68.18 | 81.55 | | field | 36.1 | 53.05 | | armchair | 49.18 | 67.8 | | seat | 59.54 | 83.6 | | fence | 49.68 | 67.41 | | desk | 50.64 | 74.36 | | rock | 34.71 | 48.1 | | wardrobe | 51.77 | 66.49 | | lamp | 71.64 | 83.11 | | bathtub | 80.06 | 92.74 | | railing | 38.13 | 54.74 | | cushion | 65.35 | 78.46 | | base | 38.63 | 58.41 | | box | 30.35 | 41.33 | | column | 46.34 | 61.63 | | signboard | 35.47 | 54.76 | | chest of drawers | 37.84 | 58.71 | | counter | 42.04 | 50.31 | | sand | 32.1 | 45.44 | | sink | 77.47 | 82.55 | | skyscraper | 35.94 | 40.89 | | fireplace | 73.58 | 93.35 | | refrigerator | 77.81 | 82.93 | | grandstand | 34.6 | 70.78 | | path | 25.56 | 40.36 | | stairs | 31.84 | 40.54 | | runway | 84.59 | 91.62 | | case | 63.46 | 83.77 | | pool table | 94.97 | 97.74 | | pillow | 59.98 | 75.76 | | screen door | 56.03 | 61.37 | | stairway | 32.1 | 39.14 | | river | 21.35 | 36.78 | | bridge | 73.97 | 89.64 | | bookcase | 40.47 | 65.42 | | blind | 49.58 | 55.76 | | coffee table | 63.52 | 84.66 | | toilet | 88.9 | 91.48 | | flower | 48.78 | 59.41 | | book | 51.5 | 72.76 | | hill | 6.8 | 14.88 | | bench | 44.46 | 50.99 | | countertop | 62.3 | 81.72 | | stove | 85.31 | 90.84 | | palm | 56.03 | 70.5 | | kitchen island | 42.44 | 88.41 | | computer | 71.07 | 78.64 | | swivel chair | 48.6 | 71.59 | | boat | 50.08 | 54.32 | | bar | 58.84 | 63.73 | | arcade machine | 84.06 | 91.46 | | hovel | 21.49 | 41.19 | | bus | 92.5 | 95.92 | | towel | 65.78 | 79.7 | | light | 61.22 | 79.0 | | truck | 32.12 | 60.7 | | tower | 34.34 | 58.27 | | chandelier | 68.38 | 82.97 | | awning | 30.27 | 43.98 | | streetlight | 44.03 | 65.36 | | booth | 28.58 | 38.92 | | television receiver | 72.96 | 80.57 | | airplane | 68.28 | 80.43 | | dirt track | 12.2 | 51.22 | | apparel | 31.12 | 48.02 | | pole | 37.02 | 53.04 | | land | 4.5 | 8.8 | | bannister | 19.76 | 26.06 | | escalator | 22.44 | 24.2 | | ottoman | 50.44 | 68.02 | | bottle | 28.3 | 34.63 | | buffet | 51.17 | 58.81 | | poster | 19.45 | 34.91 | | stage | 16.35 | 35.84 | | van | 45.82 | 67.38 | | ship | 5.96 | 10.6 | | fountain | 18.62 | 21.81 | | conveyer belt | 62.92 | 94.75 | | canopy | 24.56 | 36.14 | | washer | 70.74 | 73.56 | | plaything | 43.71 | 61.79 | | swimming pool | 61.3 | 61.79 | | stool | 46.87 | 74.22 | | barrel | 67.03 | 98.46 | | basket | 37.24 | 45.45 | | waterfall | 57.54 | 93.85 | | tent | 95.66 | 98.04 | | bag | 18.67 | 23.26 | | minibike | 74.92 | 92.47 | | cradle | 83.4 | 97.24 | | oven | 55.13 | 67.47 | | ball | 35.21 | 39.52 | | food | 62.5 | 75.52 | | step | 21.28 | 27.59 | | tank | 53.94 | 66.28 | | trade name | 30.05 | 39.35 | | microwave | 86.58 | 95.7 | | pot | 48.84 | 55.92 | | animal | 57.23 | 58.89 | | bicycle | 56.6 | 80.31 | | lake | 39.12 | 63.6 | | dishwasher | 78.73 | 84.94 | | screen | 60.14 | 94.4 | | blanket | 20.64 | 24.66 | | sculpture | 63.45 | 86.33 | | hood | 74.87 | 93.02 | | sconce | 58.38 | 73.93 | | vase | 49.58 | 68.55 | | traffic light | 45.01 | 68.48 | | tray | 19.34 | 30.04 | | ashcan | 53.92 | 67.72 | | fan | 71.72 | 85.48 | | pier | 32.46 | 43.61 | | crt screen | 3.94 | 12.73 | | plate | 57.14 | 73.52 | | monitor | 8.65 | 12.37 | | bulletin board | 59.29 | 79.19 | | shower | 3.59 | 23.71 | | radiator | 70.88 | 84.7 | | glass | 19.88 | 21.54 | | clock | 54.18 | 70.64 | | flag | 32.51 | 37.69 | +---------------------+-------+-------+ 2023-11-12 14:04:32,774 - mmseg - INFO - Summary: 2023-11-12 14:04:32,774 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 84.09 | 52.61 | 66.4 | +-------+-------+------+ 2023-11-12 14:04:32,774 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 14:04:32,775 - mmseg - INFO - Iter(val) [250] aAcc: 0.8409, mIoU: 0.5261, mAcc: 0.6640, IoU.wall: 0.7897, IoU.building: 0.8277, IoU.sky: 0.9481, IoU.floor: 0.8339, IoU.tree: 0.7507, IoU.ceiling: 0.8396, IoU.road: 0.8502, IoU.bed : 0.9011, IoU.windowpane: 0.6386, IoU.grass: 0.6550, IoU.cabinet: 0.6548, IoU.sidewalk: 0.6825, IoU.person: 0.8468, IoU.earth: 0.4063, IoU.door: 0.5254, IoU.table: 0.6624, IoU.mountain: 0.6255, IoU.plant: 0.5338, IoU.curtain: 0.7782, IoU.chair: 0.6284, IoU.car: 0.8520, IoU.water: 0.5981, IoU.painting: 0.7419, IoU.sofa: 0.7143, IoU.shelf: 0.4594, IoU.house: 0.4445, IoU.sea: 0.7451, IoU.mirror: 0.7150, IoU.rug: 0.6818, IoU.field: 0.3610, IoU.armchair: 0.4918, IoU.seat: 0.5954, IoU.fence: 0.4968, IoU.desk: 0.5064, IoU.rock: 0.3471, IoU.wardrobe: 0.5177, IoU.lamp: 0.7164, IoU.bathtub: 0.8006, IoU.railing: 0.3813, IoU.cushion: 0.6535, IoU.base: 0.3863, IoU.box: 0.3035, IoU.column: 0.4634, IoU.signboard: 0.3547, IoU.chest of drawers: 0.3784, IoU.counter: 0.4204, IoU.sand: 0.3210, IoU.sink: 0.7747, IoU.skyscraper: 0.3594, IoU.fireplace: 0.7358, IoU.refrigerator: 0.7781, IoU.grandstand: 0.3460, IoU.path: 0.2556, IoU.stairs: 0.3184, IoU.runway: 0.8459, IoU.case: 0.6346, IoU.pool table: 0.9497, IoU.pillow: 0.5998, IoU.screen door: 0.5603, IoU.stairway: 0.3210, IoU.river: 0.2135, IoU.bridge: 0.7397, IoU.bookcase: 0.4047, IoU.blind: 0.4958, IoU.coffee table: 0.6352, IoU.toilet: 0.8890, IoU.flower: 0.4878, IoU.book: 0.5150, IoU.hill: 0.0680, IoU.bench: 0.4446, IoU.countertop: 0.6230, IoU.stove: 0.8531, IoU.palm: 0.5603, IoU.kitchen island: 0.4244, IoU.computer: 0.7107, IoU.swivel chair: 0.4860, IoU.boat: 0.5008, IoU.bar: 0.5884, IoU.arcade machine: 0.8406, IoU.hovel: 0.2149, IoU.bus: 0.9250, IoU.towel: 0.6578, IoU.light: 0.6122, IoU.truck: 0.3212, IoU.tower: 0.3434, IoU.chandelier: 0.6838, IoU.awning: 0.3027, IoU.streetlight: 0.4403, IoU.booth: 0.2858, IoU.television receiver: 0.7296, IoU.airplane: 0.6828, IoU.dirt track: 0.1220, IoU.apparel: 0.3112, IoU.pole: 0.3702, IoU.land: 0.0450, IoU.bannister: 0.1976, IoU.escalator: 0.2244, IoU.ottoman: 0.5044, IoU.bottle: 0.2830, IoU.buffet: 0.5117, IoU.poster: 0.1945, IoU.stage: 0.1635, IoU.van: 0.4582, IoU.ship: 0.0596, IoU.fountain: 0.1862, IoU.conveyer belt: 0.6292, IoU.canopy: 0.2456, IoU.washer: 0.7074, IoU.plaything: 0.4371, IoU.swimming pool: 0.6130, IoU.stool: 0.4687, IoU.barrel: 0.6703, IoU.basket: 0.3724, IoU.waterfall: 0.5754, IoU.tent: 0.9566, IoU.bag: 0.1867, IoU.minibike: 0.7492, IoU.cradle: 0.8340, IoU.oven: 0.5513, IoU.ball: 0.3521, IoU.food: 0.6250, IoU.step: 0.2128, IoU.tank: 0.5394, IoU.trade name: 0.3005, IoU.microwave: 0.8658, IoU.pot: 0.4884, IoU.animal: 0.5723, IoU.bicycle: 0.5660, IoU.lake: 0.3912, IoU.dishwasher: 0.7873, IoU.screen: 0.6014, IoU.blanket: 0.2064, IoU.sculpture: 0.6345, IoU.hood: 0.7487, IoU.sconce: 0.5838, IoU.vase: 0.4958, IoU.traffic light: 0.4501, IoU.tray: 0.1934, IoU.ashcan: 0.5392, IoU.fan: 0.7172, IoU.pier: 0.3246, IoU.crt screen: 0.0394, IoU.plate: 0.5714, IoU.monitor: 0.0865, IoU.bulletin board: 0.5929, IoU.shower: 0.0359, IoU.radiator: 0.7088, IoU.glass: 0.1988, IoU.clock: 0.5418, IoU.flag: 0.3251, Acc.wall: 0.8763, Acc.building: 0.9022, Acc.sky: 0.9716, Acc.floor: 0.9041, Acc.tree: 0.8838, Acc.ceiling: 0.9046, Acc.road: 0.9165, Acc.bed : 0.9604, Acc.windowpane: 0.8146, Acc.grass: 0.7815, Acc.cabinet: 0.7876, Acc.sidewalk: 0.8046, Acc.person: 0.9238, Acc.earth: 0.5794, Acc.door: 0.6932, Acc.table: 0.7754, Acc.mountain: 0.7766, Acc.plant: 0.6908, Acc.curtain: 0.8877, Acc.chair: 0.7518, Acc.car: 0.9166, Acc.water: 0.7391, Acc.painting: 0.8788, Acc.sofa: 0.8407, Acc.shelf: 0.6471, Acc.house: 0.8194, Acc.sea: 0.9046, Acc.mirror: 0.8270, Acc.rug: 0.8155, Acc.field: 0.5305, Acc.armchair: 0.6780, Acc.seat: 0.8360, Acc.fence: 0.6741, Acc.desk: 0.7436, Acc.rock: 0.4810, Acc.wardrobe: 0.6649, Acc.lamp: 0.8311, Acc.bathtub: 0.9274, Acc.railing: 0.5474, Acc.cushion: 0.7846, Acc.base: 0.5841, Acc.box: 0.4133, Acc.column: 0.6163, Acc.signboard: 0.5476, Acc.chest of drawers: 0.5871, Acc.counter: 0.5031, Acc.sand: 0.4544, Acc.sink: 0.8255, Acc.skyscraper: 0.4089, Acc.fireplace: 0.9335, Acc.refrigerator: 0.8293, Acc.grandstand: 0.7078, Acc.path: 0.4036, Acc.stairs: 0.4054, Acc.runway: 0.9162, Acc.case: 0.8377, Acc.pool table: 0.9774, Acc.pillow: 0.7576, Acc.screen door: 0.6137, Acc.stairway: 0.3914, Acc.river: 0.3678, Acc.bridge: 0.8964, Acc.bookcase: 0.6542, Acc.blind: 0.5576, Acc.coffee table: 0.8466, Acc.toilet: 0.9148, Acc.flower: 0.5941, Acc.book: 0.7276, Acc.hill: 0.1488, Acc.bench: 0.5099, Acc.countertop: 0.8172, Acc.stove: 0.9084, Acc.palm: 0.7050, Acc.kitchen island: 0.8841, Acc.computer: 0.7864, Acc.swivel chair: 0.7159, Acc.boat: 0.5432, Acc.bar: 0.6373, Acc.arcade machine: 0.9146, Acc.hovel: 0.4119, Acc.bus: 0.9592, Acc.towel: 0.7970, Acc.light: 0.7900, Acc.truck: 0.6070, Acc.tower: 0.5827, Acc.chandelier: 0.8297, Acc.awning: 0.4398, Acc.streetlight: 0.6536, Acc.booth: 0.3892, Acc.television receiver: 0.8057, Acc.airplane: 0.8043, Acc.dirt track: 0.5122, Acc.apparel: 0.4802, Acc.pole: 0.5304, Acc.land: 0.0880, Acc.bannister: 0.2606, Acc.escalator: 0.2420, Acc.ottoman: 0.6802, Acc.bottle: 0.3463, Acc.buffet: 0.5881, Acc.poster: 0.3491, Acc.stage: 0.3584, Acc.van: 0.6738, Acc.ship: 0.1060, Acc.fountain: 0.2181, Acc.conveyer belt: 0.9475, Acc.canopy: 0.3614, Acc.washer: 0.7356, Acc.plaything: 0.6179, Acc.swimming pool: 0.6179, Acc.stool: 0.7422, Acc.barrel: 0.9846, Acc.basket: 0.4545, Acc.waterfall: 0.9385, Acc.tent: 0.9804, Acc.bag: 0.2326, Acc.minibike: 0.9247, Acc.cradle: 0.9724, Acc.oven: 0.6747, Acc.ball: 0.3952, Acc.food: 0.7552, Acc.step: 0.2759, Acc.tank: 0.6628, Acc.trade name: 0.3935, Acc.microwave: 0.9570, Acc.pot: 0.5592, Acc.animal: 0.5889, Acc.bicycle: 0.8031, Acc.lake: 0.6360, Acc.dishwasher: 0.8494, Acc.screen: 0.9440, Acc.blanket: 0.2466, Acc.sculpture: 0.8633, Acc.hood: 0.9302, Acc.sconce: 0.7393, Acc.vase: 0.6855, Acc.traffic light: 0.6848, Acc.tray: 0.3004, Acc.ashcan: 0.6772, Acc.fan: 0.8548, Acc.pier: 0.4361, Acc.crt screen: 0.1273, Acc.plate: 0.7352, Acc.monitor: 0.1237, Acc.bulletin board: 0.7919, Acc.shower: 0.2371, Acc.radiator: 0.8470, Acc.glass: 0.2154, Acc.clock: 0.7064, Acc.flag: 0.3769 2023-11-12 14:04:56,667 - mmseg - INFO - Iter [110050/160000] lr: 3.122e-05, eta: 6:57:24, time: 0.866, data_time: 0.402, memory: 41146, decode.loss_cls: 0.1705, decode.loss_mask: 0.4410, decode.loss_dice: 0.6501, decode.d0.loss_cls: 1.1283, decode.d0.loss_mask: 0.4739, decode.d0.loss_dice: 0.7090, decode.d1.loss_cls: 0.2351, decode.d1.loss_mask: 0.4529, decode.d1.loss_dice: 0.6766, decode.d2.loss_cls: 0.1982, decode.d2.loss_mask: 0.4444, decode.d2.loss_dice: 0.6672, decode.d3.loss_cls: 0.1896, decode.d3.loss_mask: 0.4413, decode.d3.loss_dice: 0.6524, decode.d4.loss_cls: 0.1751, decode.d4.loss_mask: 0.4424, decode.d4.loss_dice: 0.6517, decode.d5.loss_cls: 0.1744, decode.d5.loss_mask: 0.4425, decode.d5.loss_dice: 0.6518, decode.d6.loss_cls: 0.1737, decode.d6.loss_mask: 0.4420, decode.d6.loss_dice: 0.6508, decode.d7.loss_cls: 0.1716, decode.d7.loss_mask: 0.4409, decode.d7.loss_dice: 0.6518, decode.d8.loss_cls: 0.1698, decode.d8.loss_mask: 0.4413, decode.d8.loss_dice: 0.6527, loss: 13.8630, grad_norm: 44.1872 2023-11-12 14:05:20,519 - mmseg - INFO - Iter [110100/160000] lr: 3.119e-05, eta: 6:56:58, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1770, decode.loss_mask: 0.4386, decode.loss_dice: 0.6631, decode.d0.loss_cls: 1.1750, decode.d0.loss_mask: 0.4676, decode.d0.loss_dice: 0.7225, decode.d1.loss_cls: 0.2396, decode.d1.loss_mask: 0.4505, decode.d1.loss_dice: 0.6883, decode.d2.loss_cls: 0.2081, decode.d2.loss_mask: 0.4417, decode.d2.loss_dice: 0.6770, decode.d3.loss_cls: 0.1935, decode.d3.loss_mask: 0.4401, decode.d3.loss_dice: 0.6689, decode.d4.loss_cls: 0.1884, decode.d4.loss_mask: 0.4377, decode.d4.loss_dice: 0.6691, decode.d5.loss_cls: 0.1839, decode.d5.loss_mask: 0.4392, decode.d5.loss_dice: 0.6653, decode.d6.loss_cls: 0.1804, decode.d6.loss_mask: 0.4377, decode.d6.loss_dice: 0.6629, decode.d7.loss_cls: 0.1781, decode.d7.loss_mask: 0.4378, decode.d7.loss_dice: 0.6618, decode.d8.loss_cls: 0.1763, decode.d8.loss_mask: 0.4375, decode.d8.loss_dice: 0.6625, loss: 14.0700, grad_norm: 46.7908 2023-11-12 14:05:44,416 - mmseg - INFO - Iter [110150/160000] lr: 3.116e-05, eta: 6:56:32, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1669, decode.loss_mask: 0.4317, decode.loss_dice: 0.6548, decode.d0.loss_cls: 1.1167, decode.d0.loss_mask: 0.4669, decode.d0.loss_dice: 0.7092, decode.d1.loss_cls: 0.2277, decode.d1.loss_mask: 0.4455, decode.d1.loss_dice: 0.6835, decode.d2.loss_cls: 0.1965, decode.d2.loss_mask: 0.4384, decode.d2.loss_dice: 0.6739, decode.d3.loss_cls: 0.1799, decode.d3.loss_mask: 0.4361, decode.d3.loss_dice: 0.6587, decode.d4.loss_cls: 0.1737, decode.d4.loss_mask: 0.4345, decode.d4.loss_dice: 0.6569, decode.d5.loss_cls: 0.1705, decode.d5.loss_mask: 0.4335, decode.d5.loss_dice: 0.6594, decode.d6.loss_cls: 0.1701, decode.d6.loss_mask: 0.4326, decode.d6.loss_dice: 0.6541, decode.d7.loss_cls: 0.1700, decode.d7.loss_mask: 0.4323, decode.d7.loss_dice: 0.6558, decode.d8.loss_cls: 0.1658, decode.d8.loss_mask: 0.4323, decode.d8.loss_dice: 0.6549, loss: 13.7829, grad_norm: 43.7613 2023-11-12 14:06:08,281 - mmseg - INFO - Iter [110200/160000] lr: 3.113e-05, eta: 6:56:07, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1629, decode.loss_mask: 0.4303, decode.loss_dice: 0.6548, decode.d0.loss_cls: 1.1170, decode.d0.loss_mask: 0.4579, decode.d0.loss_dice: 0.7091, decode.d1.loss_cls: 0.2254, decode.d1.loss_mask: 0.4419, decode.d1.loss_dice: 0.6888, decode.d2.loss_cls: 0.1953, decode.d2.loss_mask: 0.4358, decode.d2.loss_dice: 0.6751, decode.d3.loss_cls: 0.1776, decode.d3.loss_mask: 0.4307, decode.d3.loss_dice: 0.6566, decode.d4.loss_cls: 0.1737, decode.d4.loss_mask: 0.4292, decode.d4.loss_dice: 0.6587, decode.d5.loss_cls: 0.1682, decode.d5.loss_mask: 0.4311, decode.d5.loss_dice: 0.6623, decode.d6.loss_cls: 0.1656, decode.d6.loss_mask: 0.4306, decode.d6.loss_dice: 0.6583, decode.d7.loss_cls: 0.1626, decode.d7.loss_mask: 0.4316, decode.d7.loss_dice: 0.6617, decode.d8.loss_cls: 0.1673, decode.d8.loss_mask: 0.4304, decode.d8.loss_dice: 0.6570, loss: 13.7476, grad_norm: 45.0720 2023-11-12 14:06:32,335 - mmseg - INFO - Iter [110250/160000] lr: 3.109e-05, eta: 6:55:41, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1679, decode.loss_mask: 0.4236, decode.loss_dice: 0.6378, decode.d0.loss_cls: 1.1389, decode.d0.loss_mask: 0.4563, decode.d0.loss_dice: 0.6936, decode.d1.loss_cls: 0.2275, decode.d1.loss_mask: 0.4366, decode.d1.loss_dice: 0.6744, decode.d2.loss_cls: 0.1947, decode.d2.loss_mask: 0.4272, decode.d2.loss_dice: 0.6542, decode.d3.loss_cls: 0.1845, decode.d3.loss_mask: 0.4238, decode.d3.loss_dice: 0.6452, decode.d4.loss_cls: 0.1731, decode.d4.loss_mask: 0.4245, decode.d4.loss_dice: 0.6469, decode.d5.loss_cls: 0.1699, decode.d5.loss_mask: 0.4238, decode.d5.loss_dice: 0.6422, decode.d6.loss_cls: 0.1676, decode.d6.loss_mask: 0.4255, decode.d6.loss_dice: 0.6416, decode.d7.loss_cls: 0.1663, decode.d7.loss_mask: 0.4266, decode.d7.loss_dice: 0.6470, decode.d8.loss_cls: 0.1644, decode.d8.loss_mask: 0.4258, decode.d8.loss_dice: 0.6414, loss: 13.5725, grad_norm: 43.4660 2023-11-12 14:06:56,398 - mmseg - INFO - Iter [110300/160000] lr: 3.106e-05, eta: 6:55:16, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1880, decode.loss_mask: 0.4452, decode.loss_dice: 0.6772, decode.d0.loss_cls: 1.1456, decode.d0.loss_mask: 0.4819, decode.d0.loss_dice: 0.7411, decode.d1.loss_cls: 0.2427, decode.d1.loss_mask: 0.4593, decode.d1.loss_dice: 0.7135, decode.d2.loss_cls: 0.2164, decode.d2.loss_mask: 0.4506, decode.d2.loss_dice: 0.7022, decode.d3.loss_cls: 0.2099, decode.d3.loss_mask: 0.4483, decode.d3.loss_dice: 0.6871, decode.d4.loss_cls: 0.2024, decode.d4.loss_mask: 0.4471, decode.d4.loss_dice: 0.6863, decode.d5.loss_cls: 0.1930, decode.d5.loss_mask: 0.4475, decode.d5.loss_dice: 0.6855, decode.d6.loss_cls: 0.1917, decode.d6.loss_mask: 0.4458, decode.d6.loss_dice: 0.6786, decode.d7.loss_cls: 0.1893, decode.d7.loss_mask: 0.4470, decode.d7.loss_dice: 0.6848, decode.d8.loss_cls: 0.1881, decode.d8.loss_mask: 0.4449, decode.d8.loss_dice: 0.6788, loss: 14.4198, grad_norm: 48.0223 2023-11-12 14:07:20,532 - mmseg - INFO - Iter [110350/160000] lr: 3.103e-05, eta: 6:54:50, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1774, decode.loss_mask: 0.4279, decode.loss_dice: 0.6606, decode.d0.loss_cls: 1.1525, decode.d0.loss_mask: 0.4596, decode.d0.loss_dice: 0.7155, decode.d1.loss_cls: 0.2499, decode.d1.loss_mask: 0.4400, decode.d1.loss_dice: 0.6859, decode.d2.loss_cls: 0.2086, decode.d2.loss_mask: 0.4320, decode.d2.loss_dice: 0.6734, decode.d3.loss_cls: 0.1952, decode.d3.loss_mask: 0.4296, decode.d3.loss_dice: 0.6660, decode.d4.loss_cls: 0.1876, decode.d4.loss_mask: 0.4280, decode.d4.loss_dice: 0.6623, decode.d5.loss_cls: 0.1863, decode.d5.loss_mask: 0.4284, decode.d5.loss_dice: 0.6628, decode.d6.loss_cls: 0.1844, decode.d6.loss_mask: 0.4279, decode.d6.loss_dice: 0.6582, decode.d7.loss_cls: 0.1796, decode.d7.loss_mask: 0.4289, decode.d7.loss_dice: 0.6573, decode.d8.loss_cls: 0.1786, decode.d8.loss_mask: 0.4296, decode.d8.loss_dice: 0.6630, loss: 13.9370, grad_norm: 45.7340 2023-11-12 14:07:44,720 - mmseg - INFO - Iter [110400/160000] lr: 3.100e-05, eta: 6:54:25, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1767, decode.loss_mask: 0.4343, decode.loss_dice: 0.6601, decode.d0.loss_cls: 1.1521, decode.d0.loss_mask: 0.4654, decode.d0.loss_dice: 0.7151, decode.d1.loss_cls: 0.2407, decode.d1.loss_mask: 0.4446, decode.d1.loss_dice: 0.6892, decode.d2.loss_cls: 0.2066, decode.d2.loss_mask: 0.4400, decode.d2.loss_dice: 0.6765, decode.d3.loss_cls: 0.1952, decode.d3.loss_mask: 0.4369, decode.d3.loss_dice: 0.6647, decode.d4.loss_cls: 0.1865, decode.d4.loss_mask: 0.4361, decode.d4.loss_dice: 0.6663, decode.d5.loss_cls: 0.1841, decode.d5.loss_mask: 0.4335, decode.d5.loss_dice: 0.6617, decode.d6.loss_cls: 0.1864, decode.d6.loss_mask: 0.4322, decode.d6.loss_dice: 0.6591, decode.d7.loss_cls: 0.1796, decode.d7.loss_mask: 0.4328, decode.d7.loss_dice: 0.6623, decode.d8.loss_cls: 0.1783, decode.d8.loss_mask: 0.4333, decode.d8.loss_dice: 0.6594, loss: 13.9898, grad_norm: 49.4311 2023-11-12 14:08:08,645 - mmseg - INFO - Iter [110450/160000] lr: 3.097e-05, eta: 6:53:59, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1617, decode.loss_mask: 0.4258, decode.loss_dice: 0.6357, decode.d0.loss_cls: 1.1059, decode.d0.loss_mask: 0.4595, decode.d0.loss_dice: 0.6806, decode.d1.loss_cls: 0.2201, decode.d1.loss_mask: 0.4405, decode.d1.loss_dice: 0.6634, decode.d2.loss_cls: 0.1896, decode.d2.loss_mask: 0.4332, decode.d2.loss_dice: 0.6458, decode.d3.loss_cls: 0.1730, decode.d3.loss_mask: 0.4293, decode.d3.loss_dice: 0.6357, decode.d4.loss_cls: 0.1678, decode.d4.loss_mask: 0.4294, decode.d4.loss_dice: 0.6342, decode.d5.loss_cls: 0.1643, decode.d5.loss_mask: 0.4285, decode.d5.loss_dice: 0.6357, decode.d6.loss_cls: 0.1596, decode.d6.loss_mask: 0.4276, decode.d6.loss_dice: 0.6335, decode.d7.loss_cls: 0.1585, decode.d7.loss_mask: 0.4288, decode.d7.loss_dice: 0.6357, decode.d8.loss_cls: 0.1548, decode.d8.loss_mask: 0.4272, decode.d8.loss_dice: 0.6360, loss: 13.4213, grad_norm: 42.2734 2023-11-12 14:08:32,380 - mmseg - INFO - Iter [110500/160000] lr: 3.094e-05, eta: 6:53:34, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1851, decode.loss_mask: 0.4518, decode.loss_dice: 0.6609, decode.d0.loss_cls: 1.1189, decode.d0.loss_mask: 0.4860, decode.d0.loss_dice: 0.7192, decode.d1.loss_cls: 0.2415, decode.d1.loss_mask: 0.4636, decode.d1.loss_dice: 0.6938, decode.d2.loss_cls: 0.2126, decode.d2.loss_mask: 0.4584, decode.d2.loss_dice: 0.6751, decode.d3.loss_cls: 0.2016, decode.d3.loss_mask: 0.4569, decode.d3.loss_dice: 0.6624, decode.d4.loss_cls: 0.1939, decode.d4.loss_mask: 0.4554, decode.d4.loss_dice: 0.6640, decode.d5.loss_cls: 0.1896, decode.d5.loss_mask: 0.4534, decode.d5.loss_dice: 0.6635, decode.d6.loss_cls: 0.1885, decode.d6.loss_mask: 0.4531, decode.d6.loss_dice: 0.6586, decode.d7.loss_cls: 0.1864, decode.d7.loss_mask: 0.4520, decode.d7.loss_dice: 0.6589, decode.d8.loss_cls: 0.1857, decode.d8.loss_mask: 0.4514, decode.d8.loss_dice: 0.6641, loss: 14.2062, grad_norm: 49.1940 2023-11-12 14:08:56,274 - mmseg - INFO - Iter [110550/160000] lr: 3.091e-05, eta: 6:53:08, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1763, decode.loss_mask: 0.4270, decode.loss_dice: 0.6659, decode.d0.loss_cls: 1.1422, decode.d0.loss_mask: 0.4553, decode.d0.loss_dice: 0.7211, decode.d1.loss_cls: 0.2423, decode.d1.loss_mask: 0.4354, decode.d1.loss_dice: 0.7004, decode.d2.loss_cls: 0.2071, decode.d2.loss_mask: 0.4305, decode.d2.loss_dice: 0.6870, decode.d3.loss_cls: 0.1954, decode.d3.loss_mask: 0.4272, decode.d3.loss_dice: 0.6694, decode.d4.loss_cls: 0.1901, decode.d4.loss_mask: 0.4264, decode.d4.loss_dice: 0.6727, decode.d5.loss_cls: 0.1841, decode.d5.loss_mask: 0.4268, decode.d5.loss_dice: 0.6711, decode.d6.loss_cls: 0.1840, decode.d6.loss_mask: 0.4266, decode.d6.loss_dice: 0.6700, decode.d7.loss_cls: 0.1781, decode.d7.loss_mask: 0.4279, decode.d7.loss_dice: 0.6686, decode.d8.loss_cls: 0.1789, decode.d8.loss_mask: 0.4272, decode.d8.loss_dice: 0.6689, loss: 13.9842, grad_norm: 43.7953 2023-11-12 14:09:20,035 - mmseg - INFO - Iter [110600/160000] lr: 3.088e-05, eta: 6:52:42, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1671, decode.loss_mask: 0.4265, decode.loss_dice: 0.6406, decode.d0.loss_cls: 1.1167, decode.d0.loss_mask: 0.4596, decode.d0.loss_dice: 0.6925, decode.d1.loss_cls: 0.2232, decode.d1.loss_mask: 0.4426, decode.d1.loss_dice: 0.6718, decode.d2.loss_cls: 0.1944, decode.d2.loss_mask: 0.4326, decode.d2.loss_dice: 0.6538, decode.d3.loss_cls: 0.1814, decode.d3.loss_mask: 0.4280, decode.d3.loss_dice: 0.6454, decode.d4.loss_cls: 0.1745, decode.d4.loss_mask: 0.4276, decode.d4.loss_dice: 0.6415, decode.d5.loss_cls: 0.1708, decode.d5.loss_mask: 0.4273, decode.d5.loss_dice: 0.6425, decode.d6.loss_cls: 0.1684, decode.d6.loss_mask: 0.4277, decode.d6.loss_dice: 0.6402, decode.d7.loss_cls: 0.1693, decode.d7.loss_mask: 0.4268, decode.d7.loss_dice: 0.6381, decode.d8.loss_cls: 0.1733, decode.d8.loss_mask: 0.4258, decode.d8.loss_dice: 0.6381, loss: 13.5684, grad_norm: 51.7946 2023-11-12 14:09:43,770 - mmseg - INFO - Iter [110650/160000] lr: 3.084e-05, eta: 6:52:17, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1733, decode.loss_mask: 0.4364, decode.loss_dice: 0.6643, decode.d0.loss_cls: 1.1511, decode.d0.loss_mask: 0.4657, decode.d0.loss_dice: 0.7100, decode.d1.loss_cls: 0.2490, decode.d1.loss_mask: 0.4502, decode.d1.loss_dice: 0.6897, decode.d2.loss_cls: 0.2070, decode.d2.loss_mask: 0.4439, decode.d2.loss_dice: 0.6773, decode.d3.loss_cls: 0.1963, decode.d3.loss_mask: 0.4391, decode.d3.loss_dice: 0.6685, decode.d4.loss_cls: 0.1865, decode.d4.loss_mask: 0.4368, decode.d4.loss_dice: 0.6661, decode.d5.loss_cls: 0.1831, decode.d5.loss_mask: 0.4370, decode.d5.loss_dice: 0.6669, decode.d6.loss_cls: 0.1770, decode.d6.loss_mask: 0.4357, decode.d6.loss_dice: 0.6588, decode.d7.loss_cls: 0.1755, decode.d7.loss_mask: 0.4350, decode.d7.loss_dice: 0.6618, decode.d8.loss_cls: 0.1734, decode.d8.loss_mask: 0.4357, decode.d8.loss_dice: 0.6622, loss: 14.0132, grad_norm: 43.4299 2023-11-12 14:10:08,037 - mmseg - INFO - Iter [110700/160000] lr: 3.081e-05, eta: 6:51:51, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1781, decode.loss_mask: 0.4336, decode.loss_dice: 0.6666, decode.d0.loss_cls: 1.1738, decode.d0.loss_mask: 0.4649, decode.d0.loss_dice: 0.7261, decode.d1.loss_cls: 0.2467, decode.d1.loss_mask: 0.4464, decode.d1.loss_dice: 0.6951, decode.d2.loss_cls: 0.2183, decode.d2.loss_mask: 0.4385, decode.d2.loss_dice: 0.6801, decode.d3.loss_cls: 0.2018, decode.d3.loss_mask: 0.4337, decode.d3.loss_dice: 0.6711, decode.d4.loss_cls: 0.1921, decode.d4.loss_mask: 0.4344, decode.d4.loss_dice: 0.6708, decode.d5.loss_cls: 0.1868, decode.d5.loss_mask: 0.4336, decode.d5.loss_dice: 0.6681, decode.d6.loss_cls: 0.1828, decode.d6.loss_mask: 0.4335, decode.d6.loss_dice: 0.6675, decode.d7.loss_cls: 0.1798, decode.d7.loss_mask: 0.4342, decode.d7.loss_dice: 0.6688, decode.d8.loss_cls: 0.1810, decode.d8.loss_mask: 0.4343, decode.d8.loss_dice: 0.6703, loss: 14.1131, grad_norm: 49.9733 2023-11-12 14:10:32,080 - mmseg - INFO - Iter [110750/160000] lr: 3.078e-05, eta: 6:51:26, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1795, decode.loss_mask: 0.4377, decode.loss_dice: 0.6559, decode.d0.loss_cls: 1.1468, decode.d0.loss_mask: 0.4733, decode.d0.loss_dice: 0.7138, decode.d1.loss_cls: 0.2380, decode.d1.loss_mask: 0.4511, decode.d1.loss_dice: 0.6841, decode.d2.loss_cls: 0.2054, decode.d2.loss_mask: 0.4413, decode.d2.loss_dice: 0.6681, decode.d3.loss_cls: 0.1976, decode.d3.loss_mask: 0.4390, decode.d3.loss_dice: 0.6580, decode.d4.loss_cls: 0.1960, decode.d4.loss_mask: 0.4379, decode.d4.loss_dice: 0.6551, decode.d5.loss_cls: 0.1899, decode.d5.loss_mask: 0.4398, decode.d5.loss_dice: 0.6582, decode.d6.loss_cls: 0.1857, decode.d6.loss_mask: 0.4370, decode.d6.loss_dice: 0.6513, decode.d7.loss_cls: 0.1839, decode.d7.loss_mask: 0.4371, decode.d7.loss_dice: 0.6546, decode.d8.loss_cls: 0.1806, decode.d8.loss_mask: 0.4375, decode.d8.loss_dice: 0.6537, loss: 13.9877, grad_norm: 47.1201 2023-11-12 14:10:55,815 - mmseg - INFO - Iter [110800/160000] lr: 3.075e-05, eta: 6:51:00, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1781, decode.loss_mask: 0.4220, decode.loss_dice: 0.6550, decode.d0.loss_cls: 1.1754, decode.d0.loss_mask: 0.4579, decode.d0.loss_dice: 0.7188, decode.d1.loss_cls: 0.2406, decode.d1.loss_mask: 0.4375, decode.d1.loss_dice: 0.6830, decode.d2.loss_cls: 0.2065, decode.d2.loss_mask: 0.4297, decode.d2.loss_dice: 0.6753, decode.d3.loss_cls: 0.1939, decode.d3.loss_mask: 0.4270, decode.d3.loss_dice: 0.6664, decode.d4.loss_cls: 0.1848, decode.d4.loss_mask: 0.4261, decode.d4.loss_dice: 0.6605, decode.d5.loss_cls: 0.1820, decode.d5.loss_mask: 0.4243, decode.d5.loss_dice: 0.6618, decode.d6.loss_cls: 0.1846, decode.d6.loss_mask: 0.4232, decode.d6.loss_dice: 0.6539, decode.d7.loss_cls: 0.1750, decode.d7.loss_mask: 0.4228, decode.d7.loss_dice: 0.6582, decode.d8.loss_cls: 0.1788, decode.d8.loss_mask: 0.4233, decode.d8.loss_dice: 0.6583, loss: 13.8847, grad_norm: 46.0485 2023-11-12 14:11:19,609 - mmseg - INFO - Iter [110850/160000] lr: 3.072e-05, eta: 6:50:34, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1790, decode.loss_mask: 0.4468, decode.loss_dice: 0.6699, decode.d0.loss_cls: 1.1302, decode.d0.loss_mask: 0.4805, decode.d0.loss_dice: 0.7264, decode.d1.loss_cls: 0.2477, decode.d1.loss_mask: 0.4573, decode.d1.loss_dice: 0.6919, decode.d2.loss_cls: 0.2055, decode.d2.loss_mask: 0.4510, decode.d2.loss_dice: 0.6869, decode.d3.loss_cls: 0.1937, decode.d3.loss_mask: 0.4468, decode.d3.loss_dice: 0.6749, decode.d4.loss_cls: 0.1877, decode.d4.loss_mask: 0.4461, decode.d4.loss_dice: 0.6749, decode.d5.loss_cls: 0.1854, decode.d5.loss_mask: 0.4459, decode.d5.loss_dice: 0.6694, decode.d6.loss_cls: 0.1856, decode.d6.loss_mask: 0.4457, decode.d6.loss_dice: 0.6658, decode.d7.loss_cls: 0.1808, decode.d7.loss_mask: 0.4460, decode.d7.loss_dice: 0.6662, decode.d8.loss_cls: 0.1792, decode.d8.loss_mask: 0.4453, decode.d8.loss_dice: 0.6689, loss: 14.1813, grad_norm: 49.4768 2023-11-12 14:11:43,360 - mmseg - INFO - Iter [110900/160000] lr: 3.069e-05, eta: 6:50:09, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1772, decode.loss_mask: 0.4492, decode.loss_dice: 0.6679, decode.d0.loss_cls: 1.1365, decode.d0.loss_mask: 0.4807, decode.d0.loss_dice: 0.7224, decode.d1.loss_cls: 0.2397, decode.d1.loss_mask: 0.4596, decode.d1.loss_dice: 0.7026, decode.d2.loss_cls: 0.2007, decode.d2.loss_mask: 0.4545, decode.d2.loss_dice: 0.6880, decode.d3.loss_cls: 0.1872, decode.d3.loss_mask: 0.4514, decode.d3.loss_dice: 0.6702, decode.d4.loss_cls: 0.1866, decode.d4.loss_mask: 0.4511, decode.d4.loss_dice: 0.6725, decode.d5.loss_cls: 0.1826, decode.d5.loss_mask: 0.4494, decode.d5.loss_dice: 0.6742, decode.d6.loss_cls: 0.1851, decode.d6.loss_mask: 0.4490, decode.d6.loss_dice: 0.6622, decode.d7.loss_cls: 0.1803, decode.d7.loss_mask: 0.4497, decode.d7.loss_dice: 0.6651, decode.d8.loss_cls: 0.1802, decode.d8.loss_mask: 0.4494, decode.d8.loss_dice: 0.6648, loss: 14.1899, grad_norm: 43.6999 2023-11-12 14:12:07,006 - mmseg - INFO - Iter [110950/160000] lr: 3.066e-05, eta: 6:49:43, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1711, decode.loss_mask: 0.4524, decode.loss_dice: 0.6614, decode.d0.loss_cls: 1.1298, decode.d0.loss_mask: 0.4928, decode.d0.loss_dice: 0.7154, decode.d1.loss_cls: 0.2301, decode.d1.loss_mask: 0.4666, decode.d1.loss_dice: 0.6922, decode.d2.loss_cls: 0.1946, decode.d2.loss_mask: 0.4617, decode.d2.loss_dice: 0.6785, decode.d3.loss_cls: 0.1838, decode.d3.loss_mask: 0.4562, decode.d3.loss_dice: 0.6631, decode.d4.loss_cls: 0.1811, decode.d4.loss_mask: 0.4536, decode.d4.loss_dice: 0.6640, decode.d5.loss_cls: 0.1751, decode.d5.loss_mask: 0.4537, decode.d5.loss_dice: 0.6641, decode.d6.loss_cls: 0.1731, decode.d6.loss_mask: 0.4542, decode.d6.loss_dice: 0.6606, decode.d7.loss_cls: 0.1709, decode.d7.loss_mask: 0.4533, decode.d7.loss_dice: 0.6621, decode.d8.loss_cls: 0.1695, decode.d8.loss_mask: 0.4512, decode.d8.loss_dice: 0.6592, loss: 14.0952, grad_norm: 45.1290 2023-11-12 14:12:30,902 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 14:12:30,902 - mmseg - INFO - Iter [111000/160000] lr: 3.063e-05, eta: 6:49:18, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1761, decode.loss_mask: 0.4332, decode.loss_dice: 0.6594, decode.d0.loss_cls: 1.1592, decode.d0.loss_mask: 0.4683, decode.d0.loss_dice: 0.7173, decode.d1.loss_cls: 0.2375, decode.d1.loss_mask: 0.4461, decode.d1.loss_dice: 0.6909, decode.d2.loss_cls: 0.2033, decode.d2.loss_mask: 0.4380, decode.d2.loss_dice: 0.6719, decode.d3.loss_cls: 0.1901, decode.d3.loss_mask: 0.4371, decode.d3.loss_dice: 0.6666, decode.d4.loss_cls: 0.1859, decode.d4.loss_mask: 0.4350, decode.d4.loss_dice: 0.6651, decode.d5.loss_cls: 0.1806, decode.d5.loss_mask: 0.4344, decode.d5.loss_dice: 0.6628, decode.d6.loss_cls: 0.1770, decode.d6.loss_mask: 0.4344, decode.d6.loss_dice: 0.6622, decode.d7.loss_cls: 0.1739, decode.d7.loss_mask: 0.4341, decode.d7.loss_dice: 0.6592, decode.d8.loss_cls: 0.1748, decode.d8.loss_mask: 0.4351, decode.d8.loss_dice: 0.6620, loss: 13.9715, grad_norm: 46.6450 2023-11-12 14:12:54,877 - mmseg - INFO - Iter [111050/160000] lr: 3.059e-05, eta: 6:48:52, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1813, decode.loss_mask: 0.4382, decode.loss_dice: 0.6619, decode.d0.loss_cls: 1.1648, decode.d0.loss_mask: 0.4683, decode.d0.loss_dice: 0.7180, decode.d1.loss_cls: 0.2515, decode.d1.loss_mask: 0.4506, decode.d1.loss_dice: 0.6936, decode.d2.loss_cls: 0.2168, decode.d2.loss_mask: 0.4416, decode.d2.loss_dice: 0.6751, decode.d3.loss_cls: 0.2002, decode.d3.loss_mask: 0.4387, decode.d3.loss_dice: 0.6656, decode.d4.loss_cls: 0.1886, decode.d4.loss_mask: 0.4386, decode.d4.loss_dice: 0.6681, decode.d5.loss_cls: 0.1904, decode.d5.loss_mask: 0.4380, decode.d5.loss_dice: 0.6638, decode.d6.loss_cls: 0.1900, decode.d6.loss_mask: 0.4384, decode.d6.loss_dice: 0.6603, decode.d7.loss_cls: 0.1844, decode.d7.loss_mask: 0.4385, decode.d7.loss_dice: 0.6630, decode.d8.loss_cls: 0.1843, decode.d8.loss_mask: 0.4382, decode.d8.loss_dice: 0.6609, loss: 14.1115, grad_norm: 45.6397 2023-11-12 14:13:18,840 - mmseg - INFO - Iter [111100/160000] lr: 3.056e-05, eta: 6:48:26, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1721, decode.loss_mask: 0.4460, decode.loss_dice: 0.6662, decode.d0.loss_cls: 1.1470, decode.d0.loss_mask: 0.4788, decode.d0.loss_dice: 0.7240, decode.d1.loss_cls: 0.2317, decode.d1.loss_mask: 0.4576, decode.d1.loss_dice: 0.6995, decode.d2.loss_cls: 0.2032, decode.d2.loss_mask: 0.4522, decode.d2.loss_dice: 0.6807, decode.d3.loss_cls: 0.1881, decode.d3.loss_mask: 0.4474, decode.d3.loss_dice: 0.6715, decode.d4.loss_cls: 0.1805, decode.d4.loss_mask: 0.4460, decode.d4.loss_dice: 0.6708, decode.d5.loss_cls: 0.1763, decode.d5.loss_mask: 0.4467, decode.d5.loss_dice: 0.6718, decode.d6.loss_cls: 0.1779, decode.d6.loss_mask: 0.4482, decode.d6.loss_dice: 0.6706, decode.d7.loss_cls: 0.1752, decode.d7.loss_mask: 0.4464, decode.d7.loss_dice: 0.6681, decode.d8.loss_cls: 0.1732, decode.d8.loss_mask: 0.4463, decode.d8.loss_dice: 0.6708, loss: 14.1348, grad_norm: 46.8831 2023-11-12 14:13:45,229 - mmseg - INFO - Iter [111150/160000] lr: 3.053e-05, eta: 6:48:02, time: 0.528, data_time: 0.058, memory: 41146, decode.loss_cls: 0.1742, decode.loss_mask: 0.4236, decode.loss_dice: 0.6547, decode.d0.loss_cls: 1.1620, decode.d0.loss_mask: 0.4560, decode.d0.loss_dice: 0.7133, decode.d1.loss_cls: 0.2475, decode.d1.loss_mask: 0.4361, decode.d1.loss_dice: 0.6845, decode.d2.loss_cls: 0.2050, decode.d2.loss_mask: 0.4292, decode.d2.loss_dice: 0.6725, decode.d3.loss_cls: 0.1904, decode.d3.loss_mask: 0.4269, decode.d3.loss_dice: 0.6606, decode.d4.loss_cls: 0.1858, decode.d4.loss_mask: 0.4267, decode.d4.loss_dice: 0.6587, decode.d5.loss_cls: 0.1827, decode.d5.loss_mask: 0.4253, decode.d5.loss_dice: 0.6544, decode.d6.loss_cls: 0.1778, decode.d6.loss_mask: 0.4237, decode.d6.loss_dice: 0.6563, decode.d7.loss_cls: 0.1753, decode.d7.loss_mask: 0.4239, decode.d7.loss_dice: 0.6563, decode.d8.loss_cls: 0.1772, decode.d8.loss_mask: 0.4244, decode.d8.loss_dice: 0.6558, loss: 13.8406, grad_norm: 45.7142 2023-11-12 14:14:08,967 - mmseg - INFO - Iter [111200/160000] lr: 3.050e-05, eta: 6:47:36, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1698, decode.loss_mask: 0.4384, decode.loss_dice: 0.6661, decode.d0.loss_cls: 1.1122, decode.d0.loss_mask: 0.4733, decode.d0.loss_dice: 0.7252, decode.d1.loss_cls: 0.2332, decode.d1.loss_mask: 0.4531, decode.d1.loss_dice: 0.7024, decode.d2.loss_cls: 0.2070, decode.d2.loss_mask: 0.4431, decode.d2.loss_dice: 0.6811, decode.d3.loss_cls: 0.1894, decode.d3.loss_mask: 0.4408, decode.d3.loss_dice: 0.6717, decode.d4.loss_cls: 0.1884, decode.d4.loss_mask: 0.4405, decode.d4.loss_dice: 0.6684, decode.d5.loss_cls: 0.1756, decode.d5.loss_mask: 0.4394, decode.d5.loss_dice: 0.6656, decode.d6.loss_cls: 0.1744, decode.d6.loss_mask: 0.4388, decode.d6.loss_dice: 0.6671, decode.d7.loss_cls: 0.1725, decode.d7.loss_mask: 0.4384, decode.d7.loss_dice: 0.6678, decode.d8.loss_cls: 0.1727, decode.d8.loss_mask: 0.4386, decode.d8.loss_dice: 0.6675, loss: 14.0223, grad_norm: 45.4347 2023-11-12 14:14:32,729 - mmseg - INFO - Iter [111250/160000] lr: 3.047e-05, eta: 6:47:11, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1719, decode.loss_mask: 0.4358, decode.loss_dice: 0.6551, decode.d0.loss_cls: 1.1593, decode.d0.loss_mask: 0.4704, decode.d0.loss_dice: 0.7140, decode.d1.loss_cls: 0.2327, decode.d1.loss_mask: 0.4537, decode.d1.loss_dice: 0.6802, decode.d2.loss_cls: 0.2028, decode.d2.loss_mask: 0.4467, decode.d2.loss_dice: 0.6696, decode.d3.loss_cls: 0.1945, decode.d3.loss_mask: 0.4394, decode.d3.loss_dice: 0.6585, decode.d4.loss_cls: 0.1867, decode.d4.loss_mask: 0.4408, decode.d4.loss_dice: 0.6588, decode.d5.loss_cls: 0.1755, decode.d5.loss_mask: 0.4390, decode.d5.loss_dice: 0.6605, decode.d6.loss_cls: 0.1798, decode.d6.loss_mask: 0.4364, decode.d6.loss_dice: 0.6493, decode.d7.loss_cls: 0.1810, decode.d7.loss_mask: 0.4364, decode.d7.loss_dice: 0.6519, decode.d8.loss_cls: 0.1745, decode.d8.loss_mask: 0.4368, decode.d8.loss_dice: 0.6542, loss: 13.9463, grad_norm: 46.1306 2023-11-12 14:14:56,688 - mmseg - INFO - Iter [111300/160000] lr: 3.044e-05, eta: 6:46:45, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1798, decode.loss_mask: 0.4382, decode.loss_dice: 0.6505, decode.d0.loss_cls: 1.1291, decode.d0.loss_mask: 0.4685, decode.d0.loss_dice: 0.7099, decode.d1.loss_cls: 0.2449, decode.d1.loss_mask: 0.4472, decode.d1.loss_dice: 0.6782, decode.d2.loss_cls: 0.2072, decode.d2.loss_mask: 0.4439, decode.d2.loss_dice: 0.6637, decode.d3.loss_cls: 0.1916, decode.d3.loss_mask: 0.4393, decode.d3.loss_dice: 0.6544, decode.d4.loss_cls: 0.1871, decode.d4.loss_mask: 0.4365, decode.d4.loss_dice: 0.6511, decode.d5.loss_cls: 0.1828, decode.d5.loss_mask: 0.4369, decode.d5.loss_dice: 0.6521, decode.d6.loss_cls: 0.1848, decode.d6.loss_mask: 0.4370, decode.d6.loss_dice: 0.6495, decode.d7.loss_cls: 0.1795, decode.d7.loss_mask: 0.4383, decode.d7.loss_dice: 0.6498, decode.d8.loss_cls: 0.1812, decode.d8.loss_mask: 0.4368, decode.d8.loss_dice: 0.6507, loss: 13.9006, grad_norm: 47.1688 2023-11-12 14:15:20,682 - mmseg - INFO - Iter [111350/160000] lr: 3.041e-05, eta: 6:46:20, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1832, decode.loss_mask: 0.4344, decode.loss_dice: 0.6794, decode.d0.loss_cls: 1.1686, decode.d0.loss_mask: 0.4671, decode.d0.loss_dice: 0.7407, decode.d1.loss_cls: 0.2409, decode.d1.loss_mask: 0.4466, decode.d1.loss_dice: 0.7164, decode.d2.loss_cls: 0.2091, decode.d2.loss_mask: 0.4385, decode.d2.loss_dice: 0.6992, decode.d3.loss_cls: 0.1965, decode.d3.loss_mask: 0.4376, decode.d3.loss_dice: 0.6822, decode.d4.loss_cls: 0.1905, decode.d4.loss_mask: 0.4387, decode.d4.loss_dice: 0.6839, decode.d5.loss_cls: 0.1865, decode.d5.loss_mask: 0.4364, decode.d5.loss_dice: 0.6830, decode.d6.loss_cls: 0.1870, decode.d6.loss_mask: 0.4346, decode.d6.loss_dice: 0.6793, decode.d7.loss_cls: 0.1863, decode.d7.loss_mask: 0.4349, decode.d7.loss_dice: 0.6815, decode.d8.loss_cls: 0.1791, decode.d8.loss_mask: 0.4351, decode.d8.loss_dice: 0.6801, loss: 14.2573, grad_norm: 44.3936 2023-11-12 14:15:44,674 - mmseg - INFO - Iter [111400/160000] lr: 3.038e-05, eta: 6:45:54, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1848, decode.loss_mask: 0.4317, decode.loss_dice: 0.6408, decode.d0.loss_cls: 1.1477, decode.d0.loss_mask: 0.4636, decode.d0.loss_dice: 0.7017, decode.d1.loss_cls: 0.2455, decode.d1.loss_mask: 0.4445, decode.d1.loss_dice: 0.6751, decode.d2.loss_cls: 0.2149, decode.d2.loss_mask: 0.4391, decode.d2.loss_dice: 0.6546, decode.d3.loss_cls: 0.2090, decode.d3.loss_mask: 0.4349, decode.d3.loss_dice: 0.6425, decode.d4.loss_cls: 0.2007, decode.d4.loss_mask: 0.4348, decode.d4.loss_dice: 0.6464, decode.d5.loss_cls: 0.1920, decode.d5.loss_mask: 0.4343, decode.d5.loss_dice: 0.6407, decode.d6.loss_cls: 0.1926, decode.d6.loss_mask: 0.4285, decode.d6.loss_dice: 0.6359, decode.d7.loss_cls: 0.1852, decode.d7.loss_mask: 0.4309, decode.d7.loss_dice: 0.6416, decode.d8.loss_cls: 0.1857, decode.d8.loss_mask: 0.4315, decode.d8.loss_dice: 0.6418, loss: 13.8528, grad_norm: 51.8716 2023-11-12 14:16:08,618 - mmseg - INFO - Iter [111450/160000] lr: 3.034e-05, eta: 6:45:29, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1591, decode.loss_mask: 0.4327, decode.loss_dice: 0.6556, decode.d0.loss_cls: 1.1329, decode.d0.loss_mask: 0.4628, decode.d0.loss_dice: 0.7116, decode.d1.loss_cls: 0.2195, decode.d1.loss_mask: 0.4443, decode.d1.loss_dice: 0.6911, decode.d2.loss_cls: 0.1897, decode.d2.loss_mask: 0.4402, decode.d2.loss_dice: 0.6707, decode.d3.loss_cls: 0.1772, decode.d3.loss_mask: 0.4365, decode.d3.loss_dice: 0.6628, decode.d4.loss_cls: 0.1633, decode.d4.loss_mask: 0.4367, decode.d4.loss_dice: 0.6612, decode.d5.loss_cls: 0.1644, decode.d5.loss_mask: 0.4362, decode.d5.loss_dice: 0.6645, decode.d6.loss_cls: 0.1632, decode.d6.loss_mask: 0.4362, decode.d6.loss_dice: 0.6554, decode.d7.loss_cls: 0.1580, decode.d7.loss_mask: 0.4351, decode.d7.loss_dice: 0.6571, decode.d8.loss_cls: 0.1565, decode.d8.loss_mask: 0.4344, decode.d8.loss_dice: 0.6577, loss: 13.7666, grad_norm: 45.2825 2023-11-12 14:16:32,553 - mmseg - INFO - Iter [111500/160000] lr: 3.031e-05, eta: 6:45:03, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1613, decode.loss_mask: 0.4411, decode.loss_dice: 0.6699, decode.d0.loss_cls: 1.1224, decode.d0.loss_mask: 0.4749, decode.d0.loss_dice: 0.7235, decode.d1.loss_cls: 0.2238, decode.d1.loss_mask: 0.4542, decode.d1.loss_dice: 0.7014, decode.d2.loss_cls: 0.1910, decode.d2.loss_mask: 0.4482, decode.d2.loss_dice: 0.6825, decode.d3.loss_cls: 0.1765, decode.d3.loss_mask: 0.4413, decode.d3.loss_dice: 0.6761, decode.d4.loss_cls: 0.1695, decode.d4.loss_mask: 0.4420, decode.d4.loss_dice: 0.6756, decode.d5.loss_cls: 0.1660, decode.d5.loss_mask: 0.4417, decode.d5.loss_dice: 0.6766, decode.d6.loss_cls: 0.1648, decode.d6.loss_mask: 0.4411, decode.d6.loss_dice: 0.6705, decode.d7.loss_cls: 0.1653, decode.d7.loss_mask: 0.4409, decode.d7.loss_dice: 0.6736, decode.d8.loss_cls: 0.1624, decode.d8.loss_mask: 0.4405, decode.d8.loss_dice: 0.6721, loss: 13.9905, grad_norm: 49.6752 2023-11-12 14:16:57,580 - mmseg - INFO - Iter [111550/160000] lr: 3.028e-05, eta: 6:44:38, time: 0.501, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1833, decode.loss_mask: 0.4341, decode.loss_dice: 0.6551, decode.d0.loss_cls: 1.1643, decode.d0.loss_mask: 0.4673, decode.d0.loss_dice: 0.7159, decode.d1.loss_cls: 0.2347, decode.d1.loss_mask: 0.4517, decode.d1.loss_dice: 0.6907, decode.d2.loss_cls: 0.2104, decode.d2.loss_mask: 0.4424, decode.d2.loss_dice: 0.6766, decode.d3.loss_cls: 0.2009, decode.d3.loss_mask: 0.4370, decode.d3.loss_dice: 0.6616, decode.d4.loss_cls: 0.1940, decode.d4.loss_mask: 0.4352, decode.d4.loss_dice: 0.6608, decode.d5.loss_cls: 0.1903, decode.d5.loss_mask: 0.4345, decode.d5.loss_dice: 0.6622, decode.d6.loss_cls: 0.1892, decode.d6.loss_mask: 0.4366, decode.d6.loss_dice: 0.6579, decode.d7.loss_cls: 0.1815, decode.d7.loss_mask: 0.4359, decode.d7.loss_dice: 0.6557, decode.d8.loss_cls: 0.1817, decode.d8.loss_mask: 0.4356, decode.d8.loss_dice: 0.6591, loss: 14.0366, grad_norm: 48.9710 2023-11-12 14:17:22,738 - mmseg - INFO - Iter [111600/160000] lr: 3.025e-05, eta: 6:44:13, time: 0.503, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1724, decode.loss_mask: 0.4439, decode.loss_dice: 0.6676, decode.d0.loss_cls: 1.1448, decode.d0.loss_mask: 0.4767, decode.d0.loss_dice: 0.7145, decode.d1.loss_cls: 0.2302, decode.d1.loss_mask: 0.4594, decode.d1.loss_dice: 0.6982, decode.d2.loss_cls: 0.1975, decode.d2.loss_mask: 0.4514, decode.d2.loss_dice: 0.6789, decode.d3.loss_cls: 0.1833, decode.d3.loss_mask: 0.4462, decode.d3.loss_dice: 0.6727, decode.d4.loss_cls: 0.1759, decode.d4.loss_mask: 0.4452, decode.d4.loss_dice: 0.6708, decode.d5.loss_cls: 0.1793, decode.d5.loss_mask: 0.4461, decode.d5.loss_dice: 0.6687, decode.d6.loss_cls: 0.1739, decode.d6.loss_mask: 0.4432, decode.d6.loss_dice: 0.6690, decode.d7.loss_cls: 0.1703, decode.d7.loss_mask: 0.4426, decode.d7.loss_dice: 0.6652, decode.d8.loss_cls: 0.1717, decode.d8.loss_mask: 0.4432, decode.d8.loss_dice: 0.6654, loss: 14.0683, grad_norm: 45.8015 2023-11-12 14:17:47,184 - mmseg - INFO - Iter [111650/160000] lr: 3.022e-05, eta: 6:43:48, time: 0.489, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1762, decode.loss_mask: 0.4354, decode.loss_dice: 0.6612, decode.d0.loss_cls: 1.1270, decode.d0.loss_mask: 0.4663, decode.d0.loss_dice: 0.7141, decode.d1.loss_cls: 0.2325, decode.d1.loss_mask: 0.4513, decode.d1.loss_dice: 0.6922, decode.d2.loss_cls: 0.2055, decode.d2.loss_mask: 0.4437, decode.d2.loss_dice: 0.6754, decode.d3.loss_cls: 0.1930, decode.d3.loss_mask: 0.4378, decode.d3.loss_dice: 0.6623, decode.d4.loss_cls: 0.1870, decode.d4.loss_mask: 0.4356, decode.d4.loss_dice: 0.6649, decode.d5.loss_cls: 0.1801, decode.d5.loss_mask: 0.4362, decode.d5.loss_dice: 0.6643, decode.d6.loss_cls: 0.1775, decode.d6.loss_mask: 0.4360, decode.d6.loss_dice: 0.6592, decode.d7.loss_cls: 0.1801, decode.d7.loss_mask: 0.4361, decode.d7.loss_dice: 0.6608, decode.d8.loss_cls: 0.1809, decode.d8.loss_mask: 0.4351, decode.d8.loss_dice: 0.6591, loss: 13.9669, grad_norm: 44.2797 2023-11-12 14:18:11,106 - mmseg - INFO - Iter [111700/160000] lr: 3.019e-05, eta: 6:43:22, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1628, decode.loss_mask: 0.4142, decode.loss_dice: 0.6393, decode.d0.loss_cls: 1.1439, decode.d0.loss_mask: 0.4359, decode.d0.loss_dice: 0.6971, decode.d1.loss_cls: 0.2283, decode.d1.loss_mask: 0.4231, decode.d1.loss_dice: 0.6715, decode.d2.loss_cls: 0.1918, decode.d2.loss_mask: 0.4182, decode.d2.loss_dice: 0.6507, decode.d3.loss_cls: 0.1819, decode.d3.loss_mask: 0.4140, decode.d3.loss_dice: 0.6428, decode.d4.loss_cls: 0.1715, decode.d4.loss_mask: 0.4137, decode.d4.loss_dice: 0.6436, decode.d5.loss_cls: 0.1703, decode.d5.loss_mask: 0.4123, decode.d5.loss_dice: 0.6449, decode.d6.loss_cls: 0.1714, decode.d6.loss_mask: 0.4138, decode.d6.loss_dice: 0.6352, decode.d7.loss_cls: 0.1683, decode.d7.loss_mask: 0.4140, decode.d7.loss_dice: 0.6420, decode.d8.loss_cls: 0.1618, decode.d8.loss_mask: 0.4142, decode.d8.loss_dice: 0.6406, loss: 13.4329, grad_norm: 47.7514 2023-11-12 14:18:34,994 - mmseg - INFO - Iter [111750/160000] lr: 3.016e-05, eta: 6:42:57, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1804, decode.loss_mask: 0.4342, decode.loss_dice: 0.6510, decode.d0.loss_cls: 1.1579, decode.d0.loss_mask: 0.4695, decode.d0.loss_dice: 0.7098, decode.d1.loss_cls: 0.2507, decode.d1.loss_mask: 0.4470, decode.d1.loss_dice: 0.6815, decode.d2.loss_cls: 0.2123, decode.d2.loss_mask: 0.4403, decode.d2.loss_dice: 0.6659, decode.d3.loss_cls: 0.1998, decode.d3.loss_mask: 0.4365, decode.d3.loss_dice: 0.6549, decode.d4.loss_cls: 0.1929, decode.d4.loss_mask: 0.4352, decode.d4.loss_dice: 0.6542, decode.d5.loss_cls: 0.1873, decode.d5.loss_mask: 0.4347, decode.d5.loss_dice: 0.6545, decode.d6.loss_cls: 0.1864, decode.d6.loss_mask: 0.4354, decode.d6.loss_dice: 0.6501, decode.d7.loss_cls: 0.1841, decode.d7.loss_mask: 0.4342, decode.d7.loss_dice: 0.6526, decode.d8.loss_cls: 0.1766, decode.d8.loss_mask: 0.4357, decode.d8.loss_dice: 0.6539, loss: 13.9596, grad_norm: 44.7589 2023-11-12 14:19:00,024 - mmseg - INFO - Iter [111800/160000] lr: 3.013e-05, eta: 6:42:31, time: 0.501, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1729, decode.loss_mask: 0.4203, decode.loss_dice: 0.6587, decode.d0.loss_cls: 1.1058, decode.d0.loss_mask: 0.4495, decode.d0.loss_dice: 0.7071, decode.d1.loss_cls: 0.2394, decode.d1.loss_mask: 0.4331, decode.d1.loss_dice: 0.6781, decode.d2.loss_cls: 0.2053, decode.d2.loss_mask: 0.4242, decode.d2.loss_dice: 0.6668, decode.d3.loss_cls: 0.1905, decode.d3.loss_mask: 0.4217, decode.d3.loss_dice: 0.6577, decode.d4.loss_cls: 0.1904, decode.d4.loss_mask: 0.4197, decode.d4.loss_dice: 0.6568, decode.d5.loss_cls: 0.1778, decode.d5.loss_mask: 0.4202, decode.d5.loss_dice: 0.6556, decode.d6.loss_cls: 0.1783, decode.d6.loss_mask: 0.4201, decode.d6.loss_dice: 0.6522, decode.d7.loss_cls: 0.1744, decode.d7.loss_mask: 0.4197, decode.d7.loss_dice: 0.6544, decode.d8.loss_cls: 0.1754, decode.d8.loss_mask: 0.4202, decode.d8.loss_dice: 0.6550, loss: 13.7015, grad_norm: 43.5022 2023-11-12 14:19:23,968 - mmseg - INFO - Iter [111850/160000] lr: 3.009e-05, eta: 6:42:06, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1771, decode.loss_mask: 0.4322, decode.loss_dice: 0.6606, decode.d0.loss_cls: 1.1501, decode.d0.loss_mask: 0.4680, decode.d0.loss_dice: 0.7165, decode.d1.loss_cls: 0.2368, decode.d1.loss_mask: 0.4474, decode.d1.loss_dice: 0.6939, decode.d2.loss_cls: 0.2064, decode.d2.loss_mask: 0.4413, decode.d2.loss_dice: 0.6812, decode.d3.loss_cls: 0.1965, decode.d3.loss_mask: 0.4358, decode.d3.loss_dice: 0.6690, decode.d4.loss_cls: 0.1904, decode.d4.loss_mask: 0.4366, decode.d4.loss_dice: 0.6693, decode.d5.loss_cls: 0.1869, decode.d5.loss_mask: 0.4353, decode.d5.loss_dice: 0.6679, decode.d6.loss_cls: 0.1841, decode.d6.loss_mask: 0.4327, decode.d6.loss_dice: 0.6657, decode.d7.loss_cls: 0.1765, decode.d7.loss_mask: 0.4334, decode.d7.loss_dice: 0.6690, decode.d8.loss_cls: 0.1774, decode.d8.loss_mask: 0.4327, decode.d8.loss_dice: 0.6661, loss: 14.0369, grad_norm: 50.4117 2023-11-12 14:19:47,982 - mmseg - INFO - Iter [111900/160000] lr: 3.006e-05, eta: 6:41:40, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1772, decode.loss_mask: 0.4289, decode.loss_dice: 0.6591, decode.d0.loss_cls: 1.1456, decode.d0.loss_mask: 0.4635, decode.d0.loss_dice: 0.7180, decode.d1.loss_cls: 0.2372, decode.d1.loss_mask: 0.4463, decode.d1.loss_dice: 0.6961, decode.d2.loss_cls: 0.2009, decode.d2.loss_mask: 0.4375, decode.d2.loss_dice: 0.6760, decode.d3.loss_cls: 0.1925, decode.d3.loss_mask: 0.4339, decode.d3.loss_dice: 0.6652, decode.d4.loss_cls: 0.1808, decode.d4.loss_mask: 0.4325, decode.d4.loss_dice: 0.6645, decode.d5.loss_cls: 0.1799, decode.d5.loss_mask: 0.4327, decode.d5.loss_dice: 0.6670, decode.d6.loss_cls: 0.1808, decode.d6.loss_mask: 0.4310, decode.d6.loss_dice: 0.6659, decode.d7.loss_cls: 0.1797, decode.d7.loss_mask: 0.4310, decode.d7.loss_dice: 0.6643, decode.d8.loss_cls: 0.1784, decode.d8.loss_mask: 0.4298, decode.d8.loss_dice: 0.6628, loss: 13.9590, grad_norm: 48.4382 2023-11-12 14:20:12,453 - mmseg - INFO - Iter [111950/160000] lr: 3.003e-05, eta: 6:41:15, time: 0.489, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1576, decode.loss_mask: 0.4241, decode.loss_dice: 0.6543, decode.d0.loss_cls: 1.1342, decode.d0.loss_mask: 0.4547, decode.d0.loss_dice: 0.7026, decode.d1.loss_cls: 0.2139, decode.d1.loss_mask: 0.4340, decode.d1.loss_dice: 0.6802, decode.d2.loss_cls: 0.1873, decode.d2.loss_mask: 0.4259, decode.d2.loss_dice: 0.6675, decode.d3.loss_cls: 0.1753, decode.d3.loss_mask: 0.4224, decode.d3.loss_dice: 0.6580, decode.d4.loss_cls: 0.1686, decode.d4.loss_mask: 0.4241, decode.d4.loss_dice: 0.6545, decode.d5.loss_cls: 0.1665, decode.d5.loss_mask: 0.4236, decode.d5.loss_dice: 0.6556, decode.d6.loss_cls: 0.1663, decode.d6.loss_mask: 0.4222, decode.d6.loss_dice: 0.6514, decode.d7.loss_cls: 0.1613, decode.d7.loss_mask: 0.4222, decode.d7.loss_dice: 0.6524, decode.d8.loss_cls: 0.1641, decode.d8.loss_mask: 0.4234, decode.d8.loss_dice: 0.6530, loss: 13.6013, grad_norm: 51.3355 2023-11-12 14:20:36,354 - mmseg - INFO - Saving checkpoint at 112000 iterations 2023-11-12 14:20:40,068 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 14:20:40,068 - mmseg - INFO - Iter [112000/160000] lr: 3.000e-05, eta: 6:40:51, time: 0.552, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1885, decode.loss_mask: 0.4501, decode.loss_dice: 0.6733, decode.d0.loss_cls: 1.1223, decode.d0.loss_mask: 0.4831, decode.d0.loss_dice: 0.7261, decode.d1.loss_cls: 0.2438, decode.d1.loss_mask: 0.4674, decode.d1.loss_dice: 0.7037, decode.d2.loss_cls: 0.2158, decode.d2.loss_mask: 0.4547, decode.d2.loss_dice: 0.6874, decode.d3.loss_cls: 0.2033, decode.d3.loss_mask: 0.4527, decode.d3.loss_dice: 0.6781, decode.d4.loss_cls: 0.1987, decode.d4.loss_mask: 0.4498, decode.d4.loss_dice: 0.6750, decode.d5.loss_cls: 0.1917, decode.d5.loss_mask: 0.4492, decode.d5.loss_dice: 0.6732, decode.d6.loss_cls: 0.1906, decode.d6.loss_mask: 0.4498, decode.d6.loss_dice: 0.6734, decode.d7.loss_cls: 0.1899, decode.d7.loss_mask: 0.4476, decode.d7.loss_dice: 0.6724, decode.d8.loss_cls: 0.1837, decode.d8.loss_mask: 0.4500, decode.d8.loss_dice: 0.6747, loss: 14.3200, grad_norm: 48.7277 2023-11-12 14:20:59,281 - mmseg - INFO - per class results: 2023-11-12 14:20:59,286 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.8 | 87.28 | | building | 81.42 | 91.49 | | sky | 94.67 | 97.21 | | floor | 82.94 | 90.14 | | tree | 74.89 | 87.95 | | ceiling | 84.06 | 90.99 | | road | 84.79 | 91.42 | | bed | 90.36 | 95.48 | | windowpane | 63.58 | 79.34 | | grass | 65.8 | 82.78 | | cabinet | 64.93 | 79.36 | | sidewalk | 66.14 | 79.17 | | person | 84.5 | 93.32 | | earth | 42.81 | 56.29 | | door | 50.01 | 63.67 | | table | 64.76 | 78.84 | | mountain | 65.84 | 74.96 | | plant | 52.5 | 66.44 | | curtain | 77.5 | 85.35 | | chair | 62.77 | 74.06 | | car | 85.75 | 90.89 | | water | 55.87 | 70.41 | | painting | 77.65 | 88.08 | | sofa | 70.45 | 84.2 | | shelf | 42.4 | 63.63 | | house | 33.32 | 54.29 | | sea | 66.66 | 83.76 | | mirror | 71.04 | 80.46 | | rug | 66.39 | 81.32 | | field | 29.96 | 43.94 | | armchair | 47.22 | 65.59 | | seat | 64.55 | 82.81 | | fence | 49.55 | 68.25 | | desk | 57.34 | 73.86 | | rock | 47.95 | 78.26 | | wardrobe | 49.59 | 63.68 | | lamp | 72.04 | 85.0 | | bathtub | 80.28 | 92.19 | | railing | 37.84 | 54.26 | | cushion | 65.1 | 79.37 | | base | 34.11 | 68.24 | | box | 31.48 | 43.82 | | column | 45.72 | 55.92 | | signboard | 35.38 | 54.93 | | chest of drawers | 38.23 | 56.5 | | counter | 32.37 | 41.28 | | sand | 35.39 | 47.68 | | sink | 76.18 | 82.22 | | skyscraper | 38.52 | 45.73 | | fireplace | 70.29 | 89.33 | | refrigerator | 75.03 | 82.78 | | grandstand | 38.95 | 66.24 | | path | 27.06 | 48.36 | | stairs | 28.06 | 36.46 | | runway | 88.05 | 92.35 | | case | 62.79 | 77.49 | | pool table | 95.35 | 97.65 | | pillow | 60.34 | 74.82 | | screen door | 81.62 | 88.02 | | stairway | 31.05 | 42.27 | | river | 8.72 | 23.04 | | bridge | 76.1 | 89.98 | | bookcase | 40.33 | 59.14 | | blind | 44.9 | 50.57 | | coffee table | 62.62 | 84.54 | | toilet | 84.42 | 91.44 | | flower | 48.26 | 65.19 | | book | 51.24 | 76.28 | | hill | 5.6 | 13.46 | | bench | 57.08 | 72.46 | | countertop | 59.16 | 80.74 | | stove | 83.39 | 88.37 | | palm | 56.75 | 74.92 | | kitchen island | 45.94 | 88.69 | | computer | 71.49 | 78.08 | | swivel chair | 43.18 | 61.36 | | boat | 49.88 | 54.11 | | bar | 35.67 | 45.5 | | arcade machine | 86.69 | 91.75 | | hovel | 27.33 | 38.98 | | bus | 94.45 | 96.58 | | towel | 65.59 | 81.22 | | light | 63.86 | 74.11 | | truck | 32.04 | 57.88 | | tower | 20.95 | 34.64 | | chandelier | 72.12 | 87.34 | | awning | 33.81 | 43.75 | | streetlight | 42.76 | 62.24 | | booth | 28.54 | 42.89 | | television receiver | 72.73 | 81.18 | | airplane | 63.4 | 68.82 | | dirt track | 22.42 | 54.99 | | apparel | 25.51 | 48.69 | | pole | 35.76 | 53.56 | | land | 3.55 | 9.43 | | bannister | 20.78 | 30.13 | | escalator | 22.78 | 24.31 | | ottoman | 52.03 | 69.2 | | bottle | 42.3 | 57.04 | | buffet | 43.87 | 54.79 | | poster | 22.21 | 34.98 | | stage | 15.63 | 32.66 | | van | 50.72 | 78.54 | | ship | 6.45 | 10.58 | | fountain | 18.38 | 21.84 | | conveyer belt | 58.85 | 89.88 | | canopy | 29.02 | 39.11 | | washer | 71.16 | 73.94 | | plaything | 46.4 | 64.26 | | swimming pool | 60.31 | 60.61 | | stool | 48.65 | 69.83 | | barrel | 75.69 | 98.45 | | basket | 41.15 | 58.3 | | waterfall | 79.87 | 92.29 | | tent | 95.15 | 98.08 | | bag | 20.42 | 27.91 | | minibike | 75.18 | 90.83 | | cradle | 78.88 | 97.64 | | oven | 56.88 | 67.26 | | ball | 40.59 | 46.08 | | food | 65.57 | 83.46 | | step | 17.35 | 25.24 | | tank | 47.85 | 65.73 | | trade name | 31.88 | 44.57 | | microwave | 85.6 | 94.74 | | pot | 49.87 | 57.67 | | animal | 59.11 | 60.65 | | bicycle | 54.11 | 78.61 | | lake | 57.94 | 63.65 | | dishwasher | 82.01 | 89.4 | | screen | 58.55 | 88.06 | | blanket | 19.66 | 28.67 | | sculpture | 64.09 | 86.13 | | hood | 79.91 | 93.15 | | sconce | 55.93 | 67.81 | | vase | 50.82 | 69.55 | | traffic light | 39.74 | 70.14 | | tray | 15.92 | 24.37 | | ashcan | 48.85 | 69.12 | | fan | 70.81 | 85.45 | | pier | 31.29 | 45.23 | | crt screen | 4.67 | 13.06 | | plate | 57.81 | 73.83 | | monitor | 10.74 | 13.42 | | bulletin board | 51.33 | 79.88 | | shower | 5.55 | 23.03 | | radiator | 70.39 | 81.09 | | glass | 22.22 | 24.45 | | clock | 51.12 | 62.07 | | flag | 44.28 | 51.45 | +---------------------+-------+-------+ 2023-11-12 14:20:59,286 - mmseg - INFO - Summary: 2023-11-12 14:20:59,286 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.82 | 52.83 | 66.33 | +-------+-------+-------+ 2023-11-12 14:20:59,287 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 14:20:59,287 - mmseg - INFO - Iter(val) [250] aAcc: 0.8382, mIoU: 0.5283, mAcc: 0.6633, IoU.wall: 0.7880, IoU.building: 0.8142, IoU.sky: 0.9467, IoU.floor: 0.8294, IoU.tree: 0.7489, IoU.ceiling: 0.8406, IoU.road: 0.8479, IoU.bed : 0.9036, IoU.windowpane: 0.6358, IoU.grass: 0.6580, IoU.cabinet: 0.6493, IoU.sidewalk: 0.6614, IoU.person: 0.8450, IoU.earth: 0.4281, IoU.door: 0.5001, IoU.table: 0.6476, IoU.mountain: 0.6584, IoU.plant: 0.5250, IoU.curtain: 0.7750, IoU.chair: 0.6277, IoU.car: 0.8575, IoU.water: 0.5587, IoU.painting: 0.7765, IoU.sofa: 0.7045, IoU.shelf: 0.4240, IoU.house: 0.3332, IoU.sea: 0.6666, IoU.mirror: 0.7104, IoU.rug: 0.6639, IoU.field: 0.2996, IoU.armchair: 0.4722, IoU.seat: 0.6455, IoU.fence: 0.4955, IoU.desk: 0.5734, IoU.rock: 0.4795, IoU.wardrobe: 0.4959, IoU.lamp: 0.7204, IoU.bathtub: 0.8028, IoU.railing: 0.3784, IoU.cushion: 0.6510, IoU.base: 0.3411, IoU.box: 0.3148, IoU.column: 0.4572, IoU.signboard: 0.3538, IoU.chest of drawers: 0.3823, IoU.counter: 0.3237, IoU.sand: 0.3539, IoU.sink: 0.7618, IoU.skyscraper: 0.3852, IoU.fireplace: 0.7029, IoU.refrigerator: 0.7503, IoU.grandstand: 0.3895, IoU.path: 0.2706, IoU.stairs: 0.2806, IoU.runway: 0.8805, IoU.case: 0.6279, IoU.pool table: 0.9535, IoU.pillow: 0.6034, IoU.screen door: 0.8162, IoU.stairway: 0.3105, IoU.river: 0.0872, IoU.bridge: 0.7610, IoU.bookcase: 0.4033, IoU.blind: 0.4490, IoU.coffee table: 0.6262, IoU.toilet: 0.8442, IoU.flower: 0.4826, IoU.book: 0.5124, IoU.hill: 0.0560, IoU.bench: 0.5708, IoU.countertop: 0.5916, IoU.stove: 0.8339, IoU.palm: 0.5675, IoU.kitchen island: 0.4594, IoU.computer: 0.7149, IoU.swivel chair: 0.4318, IoU.boat: 0.4988, IoU.bar: 0.3567, IoU.arcade machine: 0.8669, IoU.hovel: 0.2733, IoU.bus: 0.9445, IoU.towel: 0.6559, IoU.light: 0.6386, IoU.truck: 0.3204, IoU.tower: 0.2095, IoU.chandelier: 0.7212, IoU.awning: 0.3381, IoU.streetlight: 0.4276, IoU.booth: 0.2854, IoU.television receiver: 0.7273, IoU.airplane: 0.6340, IoU.dirt track: 0.2242, IoU.apparel: 0.2551, IoU.pole: 0.3576, IoU.land: 0.0355, IoU.bannister: 0.2078, IoU.escalator: 0.2278, IoU.ottoman: 0.5203, IoU.bottle: 0.4230, IoU.buffet: 0.4387, IoU.poster: 0.2221, IoU.stage: 0.1563, IoU.van: 0.5072, IoU.ship: 0.0645, IoU.fountain: 0.1838, IoU.conveyer belt: 0.5885, IoU.canopy: 0.2902, IoU.washer: 0.7116, IoU.plaything: 0.4640, IoU.swimming pool: 0.6031, IoU.stool: 0.4865, IoU.barrel: 0.7569, IoU.basket: 0.4115, IoU.waterfall: 0.7987, IoU.tent: 0.9515, IoU.bag: 0.2042, IoU.minibike: 0.7518, IoU.cradle: 0.7888, IoU.oven: 0.5688, IoU.ball: 0.4059, IoU.food: 0.6557, IoU.step: 0.1735, IoU.tank: 0.4785, IoU.trade name: 0.3188, IoU.microwave: 0.8560, IoU.pot: 0.4987, IoU.animal: 0.5911, IoU.bicycle: 0.5411, IoU.lake: 0.5794, IoU.dishwasher: 0.8201, IoU.screen: 0.5855, IoU.blanket: 0.1966, IoU.sculpture: 0.6409, IoU.hood: 0.7991, IoU.sconce: 0.5593, IoU.vase: 0.5082, IoU.traffic light: 0.3974, IoU.tray: 0.1592, IoU.ashcan: 0.4885, IoU.fan: 0.7081, IoU.pier: 0.3129, IoU.crt screen: 0.0467, IoU.plate: 0.5781, IoU.monitor: 0.1074, IoU.bulletin board: 0.5133, IoU.shower: 0.0555, IoU.radiator: 0.7039, IoU.glass: 0.2222, IoU.clock: 0.5112, IoU.flag: 0.4428, Acc.wall: 0.8728, Acc.building: 0.9149, Acc.sky: 0.9721, Acc.floor: 0.9014, Acc.tree: 0.8795, Acc.ceiling: 0.9099, Acc.road: 0.9142, Acc.bed : 0.9548, Acc.windowpane: 0.7934, Acc.grass: 0.8278, Acc.cabinet: 0.7936, Acc.sidewalk: 0.7917, Acc.person: 0.9332, Acc.earth: 0.5629, Acc.door: 0.6367, Acc.table: 0.7884, Acc.mountain: 0.7496, Acc.plant: 0.6644, Acc.curtain: 0.8535, Acc.chair: 0.7406, Acc.car: 0.9089, Acc.water: 0.7041, Acc.painting: 0.8808, Acc.sofa: 0.8420, Acc.shelf: 0.6363, Acc.house: 0.5429, Acc.sea: 0.8376, Acc.mirror: 0.8046, Acc.rug: 0.8132, Acc.field: 0.4394, Acc.armchair: 0.6559, Acc.seat: 0.8281, Acc.fence: 0.6825, Acc.desk: 0.7386, Acc.rock: 0.7826, Acc.wardrobe: 0.6368, Acc.lamp: 0.8500, Acc.bathtub: 0.9219, Acc.railing: 0.5426, Acc.cushion: 0.7937, Acc.base: 0.6824, Acc.box: 0.4382, Acc.column: 0.5592, Acc.signboard: 0.5493, Acc.chest of drawers: 0.5650, Acc.counter: 0.4128, Acc.sand: 0.4768, Acc.sink: 0.8222, Acc.skyscraper: 0.4573, Acc.fireplace: 0.8933, Acc.refrigerator: 0.8278, Acc.grandstand: 0.6624, Acc.path: 0.4836, Acc.stairs: 0.3646, Acc.runway: 0.9235, Acc.case: 0.7749, Acc.pool table: 0.9765, Acc.pillow: 0.7482, Acc.screen door: 0.8802, Acc.stairway: 0.4227, Acc.river: 0.2304, Acc.bridge: 0.8998, Acc.bookcase: 0.5914, Acc.blind: 0.5057, Acc.coffee table: 0.8454, Acc.toilet: 0.9144, Acc.flower: 0.6519, Acc.book: 0.7628, Acc.hill: 0.1346, Acc.bench: 0.7246, Acc.countertop: 0.8074, Acc.stove: 0.8837, Acc.palm: 0.7492, Acc.kitchen island: 0.8869, Acc.computer: 0.7808, Acc.swivel chair: 0.6136, Acc.boat: 0.5411, Acc.bar: 0.4550, Acc.arcade machine: 0.9175, Acc.hovel: 0.3898, Acc.bus: 0.9658, Acc.towel: 0.8122, Acc.light: 0.7411, Acc.truck: 0.5788, Acc.tower: 0.3464, Acc.chandelier: 0.8734, Acc.awning: 0.4375, Acc.streetlight: 0.6224, Acc.booth: 0.4289, Acc.television receiver: 0.8118, Acc.airplane: 0.6882, Acc.dirt track: 0.5499, Acc.apparel: 0.4869, Acc.pole: 0.5356, Acc.land: 0.0943, Acc.bannister: 0.3013, Acc.escalator: 0.2431, Acc.ottoman: 0.6920, Acc.bottle: 0.5704, Acc.buffet: 0.5479, Acc.poster: 0.3498, Acc.stage: 0.3266, Acc.van: 0.7854, Acc.ship: 0.1058, Acc.fountain: 0.2184, Acc.conveyer belt: 0.8988, Acc.canopy: 0.3911, Acc.washer: 0.7394, Acc.plaything: 0.6426, Acc.swimming pool: 0.6061, Acc.stool: 0.6983, Acc.barrel: 0.9845, Acc.basket: 0.5830, Acc.waterfall: 0.9229, Acc.tent: 0.9808, Acc.bag: 0.2791, Acc.minibike: 0.9083, Acc.cradle: 0.9764, Acc.oven: 0.6726, Acc.ball: 0.4608, Acc.food: 0.8346, Acc.step: 0.2524, Acc.tank: 0.6573, Acc.trade name: 0.4457, Acc.microwave: 0.9474, Acc.pot: 0.5767, Acc.animal: 0.6065, Acc.bicycle: 0.7861, Acc.lake: 0.6365, Acc.dishwasher: 0.8940, Acc.screen: 0.8806, Acc.blanket: 0.2867, Acc.sculpture: 0.8613, Acc.hood: 0.9315, Acc.sconce: 0.6781, Acc.vase: 0.6955, Acc.traffic light: 0.7014, Acc.tray: 0.2437, Acc.ashcan: 0.6912, Acc.fan: 0.8545, Acc.pier: 0.4523, Acc.crt screen: 0.1306, Acc.plate: 0.7383, Acc.monitor: 0.1342, Acc.bulletin board: 0.7988, Acc.shower: 0.2303, Acc.radiator: 0.8109, Acc.glass: 0.2445, Acc.clock: 0.6207, Acc.flag: 0.5145 2023-11-12 14:21:23,299 - mmseg - INFO - Iter [112050/160000] lr: 2.997e-05, eta: 6:40:34, time: 0.864, data_time: 0.397, memory: 41146, decode.loss_cls: 0.1732, decode.loss_mask: 0.4315, decode.loss_dice: 0.6718, decode.d0.loss_cls: 1.1440, decode.d0.loss_mask: 0.4646, decode.d0.loss_dice: 0.7193, decode.d1.loss_cls: 0.2476, decode.d1.loss_mask: 0.4464, decode.d1.loss_dice: 0.6969, decode.d2.loss_cls: 0.2065, decode.d2.loss_mask: 0.4390, decode.d2.loss_dice: 0.6846, decode.d3.loss_cls: 0.1925, decode.d3.loss_mask: 0.4358, decode.d3.loss_dice: 0.6728, decode.d4.loss_cls: 0.1827, decode.d4.loss_mask: 0.4341, decode.d4.loss_dice: 0.6708, decode.d5.loss_cls: 0.1817, decode.d5.loss_mask: 0.4342, decode.d5.loss_dice: 0.6725, decode.d6.loss_cls: 0.1786, decode.d6.loss_mask: 0.4324, decode.d6.loss_dice: 0.6699, decode.d7.loss_cls: 0.1814, decode.d7.loss_mask: 0.4323, decode.d7.loss_dice: 0.6703, decode.d8.loss_cls: 0.1789, decode.d8.loss_mask: 0.4312, decode.d8.loss_dice: 0.6696, loss: 14.0471, grad_norm: 47.5313 2023-11-12 14:21:47,499 - mmseg - INFO - Iter [112100/160000] lr: 2.994e-05, eta: 6:40:08, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1886, decode.loss_mask: 0.4310, decode.loss_dice: 0.6535, decode.d0.loss_cls: 1.1650, decode.d0.loss_mask: 0.4633, decode.d0.loss_dice: 0.7165, decode.d1.loss_cls: 0.2501, decode.d1.loss_mask: 0.4436, decode.d1.loss_dice: 0.6856, decode.d2.loss_cls: 0.2219, decode.d2.loss_mask: 0.4384, decode.d2.loss_dice: 0.6737, decode.d3.loss_cls: 0.2025, decode.d3.loss_mask: 0.4349, decode.d3.loss_dice: 0.6601, decode.d4.loss_cls: 0.1944, decode.d4.loss_mask: 0.4343, decode.d4.loss_dice: 0.6643, decode.d5.loss_cls: 0.1955, decode.d5.loss_mask: 0.4336, decode.d5.loss_dice: 0.6634, decode.d6.loss_cls: 0.1906, decode.d6.loss_mask: 0.4327, decode.d6.loss_dice: 0.6584, decode.d7.loss_cls: 0.1915, decode.d7.loss_mask: 0.4322, decode.d7.loss_dice: 0.6615, decode.d8.loss_cls: 0.1878, decode.d8.loss_mask: 0.4316, decode.d8.loss_dice: 0.6577, loss: 14.0583, grad_norm: 47.1968 2023-11-12 14:22:11,528 - mmseg - INFO - Iter [112150/160000] lr: 2.991e-05, eta: 6:39:43, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1973, decode.loss_mask: 0.4532, decode.loss_dice: 0.7050, decode.d0.loss_cls: 1.1751, decode.d0.loss_mask: 0.4895, decode.d0.loss_dice: 0.7564, decode.d1.loss_cls: 0.2660, decode.d1.loss_mask: 0.4688, decode.d1.loss_dice: 0.7329, decode.d2.loss_cls: 0.2321, decode.d2.loss_mask: 0.4615, decode.d2.loss_dice: 0.7176, decode.d3.loss_cls: 0.2126, decode.d3.loss_mask: 0.4567, decode.d3.loss_dice: 0.7116, decode.d4.loss_cls: 0.2078, decode.d4.loss_mask: 0.4552, decode.d4.loss_dice: 0.7110, decode.d5.loss_cls: 0.1989, decode.d5.loss_mask: 0.4545, decode.d5.loss_dice: 0.7055, decode.d6.loss_cls: 0.1977, decode.d6.loss_mask: 0.4559, decode.d6.loss_dice: 0.7037, decode.d7.loss_cls: 0.1941, decode.d7.loss_mask: 0.4541, decode.d7.loss_dice: 0.7078, decode.d8.loss_cls: 0.1982, decode.d8.loss_mask: 0.4529, decode.d8.loss_dice: 0.7020, loss: 14.8358, grad_norm: 50.3173 2023-11-12 14:22:35,772 - mmseg - INFO - Iter [112200/160000] lr: 2.988e-05, eta: 6:39:18, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1663, decode.loss_mask: 0.4251, decode.loss_dice: 0.6411, decode.d0.loss_cls: 1.1057, decode.d0.loss_mask: 0.4614, decode.d0.loss_dice: 0.6991, decode.d1.loss_cls: 0.2220, decode.d1.loss_mask: 0.4394, decode.d1.loss_dice: 0.6777, decode.d2.loss_cls: 0.1962, decode.d2.loss_mask: 0.4316, decode.d2.loss_dice: 0.6598, decode.d3.loss_cls: 0.1798, decode.d3.loss_mask: 0.4275, decode.d3.loss_dice: 0.6469, decode.d4.loss_cls: 0.1747, decode.d4.loss_mask: 0.4273, decode.d4.loss_dice: 0.6448, decode.d5.loss_cls: 0.1723, decode.d5.loss_mask: 0.4261, decode.d5.loss_dice: 0.6469, decode.d6.loss_cls: 0.1758, decode.d6.loss_mask: 0.4260, decode.d6.loss_dice: 0.6403, decode.d7.loss_cls: 0.1716, decode.d7.loss_mask: 0.4254, decode.d7.loss_dice: 0.6382, decode.d8.loss_cls: 0.1652, decode.d8.loss_mask: 0.4258, decode.d8.loss_dice: 0.6417, loss: 13.5816, grad_norm: 47.5368 2023-11-12 14:22:59,807 - mmseg - INFO - Iter [112250/160000] lr: 2.984e-05, eta: 6:38:52, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1668, decode.loss_mask: 0.4493, decode.loss_dice: 0.6582, decode.d0.loss_cls: 1.1225, decode.d0.loss_mask: 0.4814, decode.d0.loss_dice: 0.7208, decode.d1.loss_cls: 0.2273, decode.d1.loss_mask: 0.4616, decode.d1.loss_dice: 0.6929, decode.d2.loss_cls: 0.1983, decode.d2.loss_mask: 0.4551, decode.d2.loss_dice: 0.6724, decode.d3.loss_cls: 0.1818, decode.d3.loss_mask: 0.4521, decode.d3.loss_dice: 0.6666, decode.d4.loss_cls: 0.1730, decode.d4.loss_mask: 0.4499, decode.d4.loss_dice: 0.6661, decode.d5.loss_cls: 0.1727, decode.d5.loss_mask: 0.4517, decode.d5.loss_dice: 0.6649, decode.d6.loss_cls: 0.1703, decode.d6.loss_mask: 0.4497, decode.d6.loss_dice: 0.6599, decode.d7.loss_cls: 0.1728, decode.d7.loss_mask: 0.4483, decode.d7.loss_dice: 0.6624, decode.d8.loss_cls: 0.1681, decode.d8.loss_mask: 0.4499, decode.d8.loss_dice: 0.6616, loss: 14.0287, grad_norm: 45.6596 2023-11-12 14:23:23,791 - mmseg - INFO - Iter [112300/160000] lr: 2.981e-05, eta: 6:38:27, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1608, decode.loss_mask: 0.4342, decode.loss_dice: 0.6460, decode.d0.loss_cls: 1.1214, decode.d0.loss_mask: 0.4676, decode.d0.loss_dice: 0.7064, decode.d1.loss_cls: 0.2191, decode.d1.loss_mask: 0.4474, decode.d1.loss_dice: 0.6776, decode.d2.loss_cls: 0.1864, decode.d2.loss_mask: 0.4429, decode.d2.loss_dice: 0.6683, decode.d3.loss_cls: 0.1749, decode.d3.loss_mask: 0.4380, decode.d3.loss_dice: 0.6574, decode.d4.loss_cls: 0.1689, decode.d4.loss_mask: 0.4367, decode.d4.loss_dice: 0.6498, decode.d5.loss_cls: 0.1667, decode.d5.loss_mask: 0.4350, decode.d5.loss_dice: 0.6523, decode.d6.loss_cls: 0.1668, decode.d6.loss_mask: 0.4348, decode.d6.loss_dice: 0.6491, decode.d7.loss_cls: 0.1599, decode.d7.loss_mask: 0.4353, decode.d7.loss_dice: 0.6488, decode.d8.loss_cls: 0.1641, decode.d8.loss_mask: 0.4348, decode.d8.loss_dice: 0.6491, loss: 13.7005, grad_norm: 47.2333 2023-11-12 14:23:48,077 - mmseg - INFO - Iter [112350/160000] lr: 2.978e-05, eta: 6:38:01, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1821, decode.loss_mask: 0.4352, decode.loss_dice: 0.6641, decode.d0.loss_cls: 1.1702, decode.d0.loss_mask: 0.4655, decode.d0.loss_dice: 0.7283, decode.d1.loss_cls: 0.2475, decode.d1.loss_mask: 0.4479, decode.d1.loss_dice: 0.6963, decode.d2.loss_cls: 0.2169, decode.d2.loss_mask: 0.4389, decode.d2.loss_dice: 0.6802, decode.d3.loss_cls: 0.1999, decode.d3.loss_mask: 0.4372, decode.d3.loss_dice: 0.6699, decode.d4.loss_cls: 0.1903, decode.d4.loss_mask: 0.4376, decode.d4.loss_dice: 0.6740, decode.d5.loss_cls: 0.1903, decode.d5.loss_mask: 0.4353, decode.d5.loss_dice: 0.6655, decode.d6.loss_cls: 0.1872, decode.d6.loss_mask: 0.4363, decode.d6.loss_dice: 0.6680, decode.d7.loss_cls: 0.1827, decode.d7.loss_mask: 0.4359, decode.d7.loss_dice: 0.6679, decode.d8.loss_cls: 0.1862, decode.d8.loss_mask: 0.4359, decode.d8.loss_dice: 0.6664, loss: 14.1392, grad_norm: 52.4339 2023-11-12 14:24:12,118 - mmseg - INFO - Iter [112400/160000] lr: 2.975e-05, eta: 6:37:36, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1589, decode.loss_mask: 0.4260, decode.loss_dice: 0.6548, decode.d0.loss_cls: 1.1236, decode.d0.loss_mask: 0.4609, decode.d0.loss_dice: 0.7128, decode.d1.loss_cls: 0.2312, decode.d1.loss_mask: 0.4389, decode.d1.loss_dice: 0.6831, decode.d2.loss_cls: 0.1993, decode.d2.loss_mask: 0.4328, decode.d2.loss_dice: 0.6735, decode.d3.loss_cls: 0.1805, decode.d3.loss_mask: 0.4302, decode.d3.loss_dice: 0.6620, decode.d4.loss_cls: 0.1701, decode.d4.loss_mask: 0.4290, decode.d4.loss_dice: 0.6607, decode.d5.loss_cls: 0.1675, decode.d5.loss_mask: 0.4275, decode.d5.loss_dice: 0.6576, decode.d6.loss_cls: 0.1639, decode.d6.loss_mask: 0.4271, decode.d6.loss_dice: 0.6587, decode.d7.loss_cls: 0.1579, decode.d7.loss_mask: 0.4264, decode.d7.loss_dice: 0.6578, decode.d8.loss_cls: 0.1594, decode.d8.loss_mask: 0.4254, decode.d8.loss_dice: 0.6576, loss: 13.7150, grad_norm: 47.7317 2023-11-12 14:24:38,510 - mmseg - INFO - Iter [112450/160000] lr: 2.972e-05, eta: 6:37:11, time: 0.528, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1633, decode.loss_mask: 0.4217, decode.loss_dice: 0.6557, decode.d0.loss_cls: 1.1198, decode.d0.loss_mask: 0.4539, decode.d0.loss_dice: 0.7178, decode.d1.loss_cls: 0.2203, decode.d1.loss_mask: 0.4349, decode.d1.loss_dice: 0.6867, decode.d2.loss_cls: 0.1977, decode.d2.loss_mask: 0.4252, decode.d2.loss_dice: 0.6683, decode.d3.loss_cls: 0.1845, decode.d3.loss_mask: 0.4247, decode.d3.loss_dice: 0.6577, decode.d4.loss_cls: 0.1778, decode.d4.loss_mask: 0.4249, decode.d4.loss_dice: 0.6583, decode.d5.loss_cls: 0.1714, decode.d5.loss_mask: 0.4240, decode.d5.loss_dice: 0.6595, decode.d6.loss_cls: 0.1717, decode.d6.loss_mask: 0.4236, decode.d6.loss_dice: 0.6479, decode.d7.loss_cls: 0.1661, decode.d7.loss_mask: 0.4238, decode.d7.loss_dice: 0.6540, decode.d8.loss_cls: 0.1653, decode.d8.loss_mask: 0.4231, decode.d8.loss_dice: 0.6554, loss: 13.6788, grad_norm: 44.9553 2023-11-12 14:25:02,280 - mmseg - INFO - Iter [112500/160000] lr: 2.969e-05, eta: 6:36:46, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1547, decode.loss_mask: 0.4342, decode.loss_dice: 0.6466, decode.d0.loss_cls: 1.1239, decode.d0.loss_mask: 0.4650, decode.d0.loss_dice: 0.7031, decode.d1.loss_cls: 0.2219, decode.d1.loss_mask: 0.4474, decode.d1.loss_dice: 0.6797, decode.d2.loss_cls: 0.1910, decode.d2.loss_mask: 0.4370, decode.d2.loss_dice: 0.6585, decode.d3.loss_cls: 0.1749, decode.d3.loss_mask: 0.4360, decode.d3.loss_dice: 0.6501, decode.d4.loss_cls: 0.1684, decode.d4.loss_mask: 0.4352, decode.d4.loss_dice: 0.6522, decode.d5.loss_cls: 0.1625, decode.d5.loss_mask: 0.4355, decode.d5.loss_dice: 0.6508, decode.d6.loss_cls: 0.1604, decode.d6.loss_mask: 0.4347, decode.d6.loss_dice: 0.6483, decode.d7.loss_cls: 0.1639, decode.d7.loss_mask: 0.4332, decode.d7.loss_dice: 0.6446, decode.d8.loss_cls: 0.1573, decode.d8.loss_mask: 0.4335, decode.d8.loss_dice: 0.6477, loss: 13.6523, grad_norm: 47.9314 2023-11-12 14:25:26,123 - mmseg - INFO - Iter [112550/160000] lr: 2.966e-05, eta: 6:36:20, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1479, decode.loss_mask: 0.4199, decode.loss_dice: 0.6399, decode.d0.loss_cls: 1.1433, decode.d0.loss_mask: 0.4480, decode.d0.loss_dice: 0.6990, decode.d1.loss_cls: 0.2111, decode.d1.loss_mask: 0.4313, decode.d1.loss_dice: 0.6765, decode.d2.loss_cls: 0.1811, decode.d2.loss_mask: 0.4259, decode.d2.loss_dice: 0.6576, decode.d3.loss_cls: 0.1688, decode.d3.loss_mask: 0.4230, decode.d3.loss_dice: 0.6446, decode.d4.loss_cls: 0.1580, decode.d4.loss_mask: 0.4215, decode.d4.loss_dice: 0.6421, decode.d5.loss_cls: 0.1530, decode.d5.loss_mask: 0.4220, decode.d5.loss_dice: 0.6440, decode.d6.loss_cls: 0.1554, decode.d6.loss_mask: 0.4213, decode.d6.loss_dice: 0.6350, decode.d7.loss_cls: 0.1505, decode.d7.loss_mask: 0.4210, decode.d7.loss_dice: 0.6430, decode.d8.loss_cls: 0.1504, decode.d8.loss_mask: 0.4215, decode.d8.loss_dice: 0.6398, loss: 13.3966, grad_norm: 49.2283 2023-11-12 14:25:50,097 - mmseg - INFO - Iter [112600/160000] lr: 2.963e-05, eta: 6:35:54, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1603, decode.loss_mask: 0.4217, decode.loss_dice: 0.6214, decode.d0.loss_cls: 1.1182, decode.d0.loss_mask: 0.4522, decode.d0.loss_dice: 0.6833, decode.d1.loss_cls: 0.2176, decode.d1.loss_mask: 0.4363, decode.d1.loss_dice: 0.6553, decode.d2.loss_cls: 0.1873, decode.d2.loss_mask: 0.4283, decode.d2.loss_dice: 0.6425, decode.d3.loss_cls: 0.1726, decode.d3.loss_mask: 0.4278, decode.d3.loss_dice: 0.6339, decode.d4.loss_cls: 0.1673, decode.d4.loss_mask: 0.4262, decode.d4.loss_dice: 0.6313, decode.d5.loss_cls: 0.1678, decode.d5.loss_mask: 0.4259, decode.d5.loss_dice: 0.6314, decode.d6.loss_cls: 0.1660, decode.d6.loss_mask: 0.4246, decode.d6.loss_dice: 0.6290, decode.d7.loss_cls: 0.1568, decode.d7.loss_mask: 0.4235, decode.d7.loss_dice: 0.6269, decode.d8.loss_cls: 0.1642, decode.d8.loss_mask: 0.4224, decode.d8.loss_dice: 0.6253, loss: 13.3476, grad_norm: 45.3743 2023-11-12 14:26:14,125 - mmseg - INFO - Iter [112650/160000] lr: 2.959e-05, eta: 6:35:29, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1441, decode.loss_mask: 0.4368, decode.loss_dice: 0.6476, decode.d0.loss_cls: 1.1013, decode.d0.loss_mask: 0.4692, decode.d0.loss_dice: 0.7025, decode.d1.loss_cls: 0.2176, decode.d1.loss_mask: 0.4502, decode.d1.loss_dice: 0.6775, decode.d2.loss_cls: 0.1824, decode.d2.loss_mask: 0.4397, decode.d2.loss_dice: 0.6627, decode.d3.loss_cls: 0.1595, decode.d3.loss_mask: 0.4379, decode.d3.loss_dice: 0.6536, decode.d4.loss_cls: 0.1513, decode.d4.loss_mask: 0.4366, decode.d4.loss_dice: 0.6551, decode.d5.loss_cls: 0.1516, decode.d5.loss_mask: 0.4359, decode.d5.loss_dice: 0.6505, decode.d6.loss_cls: 0.1495, decode.d6.loss_mask: 0.4363, decode.d6.loss_dice: 0.6479, decode.d7.loss_cls: 0.1456, decode.d7.loss_mask: 0.4367, decode.d7.loss_dice: 0.6501, decode.d8.loss_cls: 0.1476, decode.d8.loss_mask: 0.4363, decode.d8.loss_dice: 0.6480, loss: 13.5619, grad_norm: 43.2272 2023-11-12 14:26:38,131 - mmseg - INFO - Iter [112700/160000] lr: 2.956e-05, eta: 6:35:03, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1698, decode.loss_mask: 0.4354, decode.loss_dice: 0.6547, decode.d0.loss_cls: 1.1249, decode.d0.loss_mask: 0.4705, decode.d0.loss_dice: 0.7086, decode.d1.loss_cls: 0.2398, decode.d1.loss_mask: 0.4468, decode.d1.loss_dice: 0.6866, decode.d2.loss_cls: 0.2036, decode.d2.loss_mask: 0.4406, decode.d2.loss_dice: 0.6722, decode.d3.loss_cls: 0.1884, decode.d3.loss_mask: 0.4383, decode.d3.loss_dice: 0.6607, decode.d4.loss_cls: 0.1767, decode.d4.loss_mask: 0.4369, decode.d4.loss_dice: 0.6637, decode.d5.loss_cls: 0.1739, decode.d5.loss_mask: 0.4362, decode.d5.loss_dice: 0.6566, decode.d6.loss_cls: 0.1698, decode.d6.loss_mask: 0.4365, decode.d6.loss_dice: 0.6559, decode.d7.loss_cls: 0.1698, decode.d7.loss_mask: 0.4356, decode.d7.loss_dice: 0.6557, decode.d8.loss_cls: 0.1653, decode.d8.loss_mask: 0.4350, decode.d8.loss_dice: 0.6583, loss: 13.8670, grad_norm: 47.1938 2023-11-12 14:27:02,246 - mmseg - INFO - Iter [112750/160000] lr: 2.953e-05, eta: 6:34:38, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1732, decode.loss_mask: 0.4235, decode.loss_dice: 0.6582, decode.d0.loss_cls: 1.1456, decode.d0.loss_mask: 0.4485, decode.d0.loss_dice: 0.7158, decode.d1.loss_cls: 0.2369, decode.d1.loss_mask: 0.4323, decode.d1.loss_dice: 0.6881, decode.d2.loss_cls: 0.2069, decode.d2.loss_mask: 0.4286, decode.d2.loss_dice: 0.6723, decode.d3.loss_cls: 0.1962, decode.d3.loss_mask: 0.4236, decode.d3.loss_dice: 0.6610, decode.d4.loss_cls: 0.1890, decode.d4.loss_mask: 0.4235, decode.d4.loss_dice: 0.6634, decode.d5.loss_cls: 0.1822, decode.d5.loss_mask: 0.4230, decode.d5.loss_dice: 0.6627, decode.d6.loss_cls: 0.1764, decode.d6.loss_mask: 0.4234, decode.d6.loss_dice: 0.6578, decode.d7.loss_cls: 0.1712, decode.d7.loss_mask: 0.4236, decode.d7.loss_dice: 0.6593, decode.d8.loss_cls: 0.1731, decode.d8.loss_mask: 0.4223, decode.d8.loss_dice: 0.6587, loss: 13.8202, grad_norm: 46.2109 2023-11-12 14:27:26,232 - mmseg - INFO - Iter [112800/160000] lr: 2.950e-05, eta: 6:34:13, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1731, decode.loss_mask: 0.4419, decode.loss_dice: 0.6546, decode.d0.loss_cls: 1.1257, decode.d0.loss_mask: 0.4785, decode.d0.loss_dice: 0.7126, decode.d1.loss_cls: 0.2349, decode.d1.loss_mask: 0.4550, decode.d1.loss_dice: 0.6891, decode.d2.loss_cls: 0.2046, decode.d2.loss_mask: 0.4476, decode.d2.loss_dice: 0.6681, decode.d3.loss_cls: 0.1882, decode.d3.loss_mask: 0.4440, decode.d3.loss_dice: 0.6582, decode.d4.loss_cls: 0.1877, decode.d4.loss_mask: 0.4420, decode.d4.loss_dice: 0.6593, decode.d5.loss_cls: 0.1769, decode.d5.loss_mask: 0.4428, decode.d5.loss_dice: 0.6556, decode.d6.loss_cls: 0.1775, decode.d6.loss_mask: 0.4430, decode.d6.loss_dice: 0.6546, decode.d7.loss_cls: 0.1787, decode.d7.loss_mask: 0.4417, decode.d7.loss_dice: 0.6528, decode.d8.loss_cls: 0.1714, decode.d8.loss_mask: 0.4422, decode.d8.loss_dice: 0.6551, loss: 13.9577, grad_norm: 46.5694 2023-11-12 14:27:50,017 - mmseg - INFO - Iter [112850/160000] lr: 2.947e-05, eta: 6:33:47, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1758, decode.loss_mask: 0.4319, decode.loss_dice: 0.6737, decode.d0.loss_cls: 1.1569, decode.d0.loss_mask: 0.4649, decode.d0.loss_dice: 0.7285, decode.d1.loss_cls: 0.2476, decode.d1.loss_mask: 0.4451, decode.d1.loss_dice: 0.7038, decode.d2.loss_cls: 0.2078, decode.d2.loss_mask: 0.4380, decode.d2.loss_dice: 0.6910, decode.d3.loss_cls: 0.1970, decode.d3.loss_mask: 0.4361, decode.d3.loss_dice: 0.6761, decode.d4.loss_cls: 0.1908, decode.d4.loss_mask: 0.4331, decode.d4.loss_dice: 0.6770, decode.d5.loss_cls: 0.1830, decode.d5.loss_mask: 0.4325, decode.d5.loss_dice: 0.6738, decode.d6.loss_cls: 0.1838, decode.d6.loss_mask: 0.4319, decode.d6.loss_dice: 0.6754, decode.d7.loss_cls: 0.1775, decode.d7.loss_mask: 0.4317, decode.d7.loss_dice: 0.6742, decode.d8.loss_cls: 0.1768, decode.d8.loss_mask: 0.4328, decode.d8.loss_dice: 0.6752, loss: 14.1238, grad_norm: 46.2682 2023-11-12 14:28:14,088 - mmseg - INFO - Iter [112900/160000] lr: 2.944e-05, eta: 6:33:21, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1776, decode.loss_mask: 0.4451, decode.loss_dice: 0.6595, decode.d0.loss_cls: 1.1302, decode.d0.loss_mask: 0.4740, decode.d0.loss_dice: 0.7172, decode.d1.loss_cls: 0.2339, decode.d1.loss_mask: 0.4540, decode.d1.loss_dice: 0.6932, decode.d2.loss_cls: 0.2035, decode.d2.loss_mask: 0.4488, decode.d2.loss_dice: 0.6723, decode.d3.loss_cls: 0.1884, decode.d3.loss_mask: 0.4451, decode.d3.loss_dice: 0.6633, decode.d4.loss_cls: 0.1796, decode.d4.loss_mask: 0.4437, decode.d4.loss_dice: 0.6641, decode.d5.loss_cls: 0.1838, decode.d5.loss_mask: 0.4444, decode.d5.loss_dice: 0.6625, decode.d6.loss_cls: 0.1798, decode.d6.loss_mask: 0.4427, decode.d6.loss_dice: 0.6573, decode.d7.loss_cls: 0.1755, decode.d7.loss_mask: 0.4449, decode.d7.loss_dice: 0.6608, decode.d8.loss_cls: 0.1743, decode.d8.loss_mask: 0.4453, decode.d8.loss_dice: 0.6612, loss: 14.0260, grad_norm: 47.7592 2023-11-12 14:28:38,143 - mmseg - INFO - Iter [112950/160000] lr: 2.941e-05, eta: 6:32:56, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1759, decode.loss_mask: 0.4340, decode.loss_dice: 0.6801, decode.d0.loss_cls: 1.1400, decode.d0.loss_mask: 0.4656, decode.d0.loss_dice: 0.7355, decode.d1.loss_cls: 0.2338, decode.d1.loss_mask: 0.4472, decode.d1.loss_dice: 0.7115, decode.d2.loss_cls: 0.2005, decode.d2.loss_mask: 0.4408, decode.d2.loss_dice: 0.6921, decode.d3.loss_cls: 0.1872, decode.d3.loss_mask: 0.4389, decode.d3.loss_dice: 0.6818, decode.d4.loss_cls: 0.1805, decode.d4.loss_mask: 0.4363, decode.d4.loss_dice: 0.6787, decode.d5.loss_cls: 0.1773, decode.d5.loss_mask: 0.4369, decode.d5.loss_dice: 0.6850, decode.d6.loss_cls: 0.1772, decode.d6.loss_mask: 0.4360, decode.d6.loss_dice: 0.6813, decode.d7.loss_cls: 0.1771, decode.d7.loss_mask: 0.4349, decode.d7.loss_dice: 0.6804, decode.d8.loss_cls: 0.1734, decode.d8.loss_mask: 0.4337, decode.d8.loss_dice: 0.6817, loss: 14.1355, grad_norm: 45.3581 2023-11-12 14:29:02,086 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 14:29:02,086 - mmseg - INFO - Iter [113000/160000] lr: 2.938e-05, eta: 6:32:30, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1767, decode.loss_mask: 0.4460, decode.loss_dice: 0.6503, decode.d0.loss_cls: 1.1652, decode.d0.loss_mask: 0.4813, decode.d0.loss_dice: 0.7124, decode.d1.loss_cls: 0.2397, decode.d1.loss_mask: 0.4603, decode.d1.loss_dice: 0.6910, decode.d2.loss_cls: 0.2069, decode.d2.loss_mask: 0.4518, decode.d2.loss_dice: 0.6692, decode.d3.loss_cls: 0.1959, decode.d3.loss_mask: 0.4467, decode.d3.loss_dice: 0.6565, decode.d4.loss_cls: 0.1861, decode.d4.loss_mask: 0.4473, decode.d4.loss_dice: 0.6589, decode.d5.loss_cls: 0.1842, decode.d5.loss_mask: 0.4464, decode.d5.loss_dice: 0.6563, decode.d6.loss_cls: 0.1774, decode.d6.loss_mask: 0.4463, decode.d6.loss_dice: 0.6510, decode.d7.loss_cls: 0.1742, decode.d7.loss_mask: 0.4471, decode.d7.loss_dice: 0.6577, decode.d8.loss_cls: 0.1751, decode.d8.loss_mask: 0.4466, decode.d8.loss_dice: 0.6570, loss: 14.0614, grad_norm: 48.9935 2023-11-12 14:29:25,916 - mmseg - INFO - Iter [113050/160000] lr: 2.934e-05, eta: 6:32:05, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1694, decode.loss_mask: 0.4490, decode.loss_dice: 0.6700, decode.d0.loss_cls: 1.1247, decode.d0.loss_mask: 0.4790, decode.d0.loss_dice: 0.7215, decode.d1.loss_cls: 0.2326, decode.d1.loss_mask: 0.4594, decode.d1.loss_dice: 0.6988, decode.d2.loss_cls: 0.1976, decode.d2.loss_mask: 0.4553, decode.d2.loss_dice: 0.6817, decode.d3.loss_cls: 0.1834, decode.d3.loss_mask: 0.4508, decode.d3.loss_dice: 0.6762, decode.d4.loss_cls: 0.1769, decode.d4.loss_mask: 0.4500, decode.d4.loss_dice: 0.6741, decode.d5.loss_cls: 0.1818, decode.d5.loss_mask: 0.4487, decode.d5.loss_dice: 0.6728, decode.d6.loss_cls: 0.1705, decode.d6.loss_mask: 0.4487, decode.d6.loss_dice: 0.6686, decode.d7.loss_cls: 0.1735, decode.d7.loss_mask: 0.4490, decode.d7.loss_dice: 0.6690, decode.d8.loss_cls: 0.1682, decode.d8.loss_mask: 0.4476, decode.d8.loss_dice: 0.6694, loss: 14.1182, grad_norm: 49.0670 2023-11-12 14:29:49,907 - mmseg - INFO - Iter [113100/160000] lr: 2.931e-05, eta: 6:31:39, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1736, decode.loss_mask: 0.4579, decode.loss_dice: 0.6661, decode.d0.loss_cls: 1.1251, decode.d0.loss_mask: 0.4923, decode.d0.loss_dice: 0.7306, decode.d1.loss_cls: 0.2306, decode.d1.loss_mask: 0.4710, decode.d1.loss_dice: 0.6977, decode.d2.loss_cls: 0.2026, decode.d2.loss_mask: 0.4654, decode.d2.loss_dice: 0.6831, decode.d3.loss_cls: 0.1856, decode.d3.loss_mask: 0.4616, decode.d3.loss_dice: 0.6705, decode.d4.loss_cls: 0.1826, decode.d4.loss_mask: 0.4611, decode.d4.loss_dice: 0.6733, decode.d5.loss_cls: 0.1804, decode.d5.loss_mask: 0.4574, decode.d5.loss_dice: 0.6706, decode.d6.loss_cls: 0.1778, decode.d6.loss_mask: 0.4566, decode.d6.loss_dice: 0.6646, decode.d7.loss_cls: 0.1735, decode.d7.loss_mask: 0.4577, decode.d7.loss_dice: 0.6669, decode.d8.loss_cls: 0.1695, decode.d8.loss_mask: 0.4581, decode.d8.loss_dice: 0.6706, loss: 14.2344, grad_norm: 52.9230 2023-11-12 14:30:14,295 - mmseg - INFO - Iter [113150/160000] lr: 2.928e-05, eta: 6:31:14, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1873, decode.loss_mask: 0.4248, decode.loss_dice: 0.6846, decode.d0.loss_cls: 1.1943, decode.d0.loss_mask: 0.4592, decode.d0.loss_dice: 0.7492, decode.d1.loss_cls: 0.2612, decode.d1.loss_mask: 0.4408, decode.d1.loss_dice: 0.7225, decode.d2.loss_cls: 0.2223, decode.d2.loss_mask: 0.4319, decode.d2.loss_dice: 0.7043, decode.d3.loss_cls: 0.2033, decode.d3.loss_mask: 0.4293, decode.d3.loss_dice: 0.6916, decode.d4.loss_cls: 0.1989, decode.d4.loss_mask: 0.4269, decode.d4.loss_dice: 0.6898, decode.d5.loss_cls: 0.1910, decode.d5.loss_mask: 0.4263, decode.d5.loss_dice: 0.6909, decode.d6.loss_cls: 0.1934, decode.d6.loss_mask: 0.4254, decode.d6.loss_dice: 0.6885, decode.d7.loss_cls: 0.1897, decode.d7.loss_mask: 0.4247, decode.d7.loss_dice: 0.6853, decode.d8.loss_cls: 0.1903, decode.d8.loss_mask: 0.4235, decode.d8.loss_dice: 0.6852, loss: 14.3364, grad_norm: 43.7208 2023-11-12 14:30:38,286 - mmseg - INFO - Iter [113200/160000] lr: 2.925e-05, eta: 6:30:49, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1686, decode.loss_mask: 0.4454, decode.loss_dice: 0.6647, decode.d0.loss_cls: 1.1384, decode.d0.loss_mask: 0.4746, decode.d0.loss_dice: 0.7189, decode.d1.loss_cls: 0.2328, decode.d1.loss_mask: 0.4563, decode.d1.loss_dice: 0.6946, decode.d2.loss_cls: 0.2009, decode.d2.loss_mask: 0.4518, decode.d2.loss_dice: 0.6754, decode.d3.loss_cls: 0.1858, decode.d3.loss_mask: 0.4479, decode.d3.loss_dice: 0.6675, decode.d4.loss_cls: 0.1803, decode.d4.loss_mask: 0.4481, decode.d4.loss_dice: 0.6689, decode.d5.loss_cls: 0.1705, decode.d5.loss_mask: 0.4474, decode.d5.loss_dice: 0.6647, decode.d6.loss_cls: 0.1718, decode.d6.loss_mask: 0.4458, decode.d6.loss_dice: 0.6627, decode.d7.loss_cls: 0.1703, decode.d7.loss_mask: 0.4450, decode.d7.loss_dice: 0.6645, decode.d8.loss_cls: 0.1647, decode.d8.loss_mask: 0.4456, decode.d8.loss_dice: 0.6634, loss: 14.0372, grad_norm: 49.0757 2023-11-12 14:31:02,180 - mmseg - INFO - Iter [113250/160000] lr: 2.922e-05, eta: 6:30:23, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1848, decode.loss_mask: 0.4329, decode.loss_dice: 0.6605, decode.d0.loss_cls: 1.1866, decode.d0.loss_mask: 0.4654, decode.d0.loss_dice: 0.7206, decode.d1.loss_cls: 0.2517, decode.d1.loss_mask: 0.4445, decode.d1.loss_dice: 0.6932, decode.d2.loss_cls: 0.2170, decode.d2.loss_mask: 0.4407, decode.d2.loss_dice: 0.6739, decode.d3.loss_cls: 0.1987, decode.d3.loss_mask: 0.4364, decode.d3.loss_dice: 0.6641, decode.d4.loss_cls: 0.1997, decode.d4.loss_mask: 0.4343, decode.d4.loss_dice: 0.6604, decode.d5.loss_cls: 0.1918, decode.d5.loss_mask: 0.4339, decode.d5.loss_dice: 0.6618, decode.d6.loss_cls: 0.1880, decode.d6.loss_mask: 0.4346, decode.d6.loss_dice: 0.6598, decode.d7.loss_cls: 0.1810, decode.d7.loss_mask: 0.4343, decode.d7.loss_dice: 0.6619, decode.d8.loss_cls: 0.1857, decode.d8.loss_mask: 0.4348, decode.d8.loss_dice: 0.6644, loss: 14.0975, grad_norm: 50.8231 2023-11-12 14:31:26,150 - mmseg - INFO - Iter [113300/160000] lr: 2.919e-05, eta: 6:29:58, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1651, decode.loss_mask: 0.4257, decode.loss_dice: 0.6588, decode.d0.loss_cls: 1.1443, decode.d0.loss_mask: 0.4566, decode.d0.loss_dice: 0.7183, decode.d1.loss_cls: 0.2381, decode.d1.loss_mask: 0.4378, decode.d1.loss_dice: 0.6883, decode.d2.loss_cls: 0.2052, decode.d2.loss_mask: 0.4310, decode.d2.loss_dice: 0.6738, decode.d3.loss_cls: 0.1845, decode.d3.loss_mask: 0.4296, decode.d3.loss_dice: 0.6595, decode.d4.loss_cls: 0.1818, decode.d4.loss_mask: 0.4273, decode.d4.loss_dice: 0.6623, decode.d5.loss_cls: 0.1695, decode.d5.loss_mask: 0.4275, decode.d5.loss_dice: 0.6624, decode.d6.loss_cls: 0.1670, decode.d6.loss_mask: 0.4272, decode.d6.loss_dice: 0.6580, decode.d7.loss_cls: 0.1651, decode.d7.loss_mask: 0.4266, decode.d7.loss_dice: 0.6573, decode.d8.loss_cls: 0.1658, decode.d8.loss_mask: 0.4273, decode.d8.loss_dice: 0.6620, loss: 13.8039, grad_norm: 45.9952 2023-11-12 14:31:50,024 - mmseg - INFO - Iter [113350/160000] lr: 2.916e-05, eta: 6:29:32, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1680, decode.loss_mask: 0.4366, decode.loss_dice: 0.6480, decode.d0.loss_cls: 1.1251, decode.d0.loss_mask: 0.4699, decode.d0.loss_dice: 0.7171, decode.d1.loss_cls: 0.2249, decode.d1.loss_mask: 0.4492, decode.d1.loss_dice: 0.6822, decode.d2.loss_cls: 0.1968, decode.d2.loss_mask: 0.4428, decode.d2.loss_dice: 0.6651, decode.d3.loss_cls: 0.1836, decode.d3.loss_mask: 0.4397, decode.d3.loss_dice: 0.6577, decode.d4.loss_cls: 0.1782, decode.d4.loss_mask: 0.4380, decode.d4.loss_dice: 0.6573, decode.d5.loss_cls: 0.1709, decode.d5.loss_mask: 0.4382, decode.d5.loss_dice: 0.6546, decode.d6.loss_cls: 0.1697, decode.d6.loss_mask: 0.4360, decode.d6.loss_dice: 0.6502, decode.d7.loss_cls: 0.1691, decode.d7.loss_mask: 0.4362, decode.d7.loss_dice: 0.6518, decode.d8.loss_cls: 0.1671, decode.d8.loss_mask: 0.4359, decode.d8.loss_dice: 0.6517, loss: 13.8116, grad_norm: 48.8697 2023-11-12 14:32:14,036 - mmseg - INFO - Iter [113400/160000] lr: 2.913e-05, eta: 6:29:07, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1740, decode.loss_mask: 0.4435, decode.loss_dice: 0.6526, decode.d0.loss_cls: 1.1451, decode.d0.loss_mask: 0.4668, decode.d0.loss_dice: 0.7030, decode.d1.loss_cls: 0.2346, decode.d1.loss_mask: 0.4519, decode.d1.loss_dice: 0.6728, decode.d2.loss_cls: 0.2030, decode.d2.loss_mask: 0.4467, decode.d2.loss_dice: 0.6623, decode.d3.loss_cls: 0.1846, decode.d3.loss_mask: 0.4454, decode.d3.loss_dice: 0.6531, decode.d4.loss_cls: 0.1781, decode.d4.loss_mask: 0.4439, decode.d4.loss_dice: 0.6559, decode.d5.loss_cls: 0.1727, decode.d5.loss_mask: 0.4433, decode.d5.loss_dice: 0.6567, decode.d6.loss_cls: 0.1788, decode.d6.loss_mask: 0.4426, decode.d6.loss_dice: 0.6505, decode.d7.loss_cls: 0.1735, decode.d7.loss_mask: 0.4434, decode.d7.loss_dice: 0.6570, decode.d8.loss_cls: 0.1745, decode.d8.loss_mask: 0.4431, decode.d8.loss_dice: 0.6528, loss: 13.9061, grad_norm: 43.6707 2023-11-12 14:32:37,890 - mmseg - INFO - Iter [113450/160000] lr: 2.909e-05, eta: 6:28:41, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1760, decode.loss_mask: 0.4345, decode.loss_dice: 0.6603, decode.d0.loss_cls: 1.1303, decode.d0.loss_mask: 0.4655, decode.d0.loss_dice: 0.7105, decode.d1.loss_cls: 0.2357, decode.d1.loss_mask: 0.4492, decode.d1.loss_dice: 0.6827, decode.d2.loss_cls: 0.2050, decode.d2.loss_mask: 0.4394, decode.d2.loss_dice: 0.6686, decode.d3.loss_cls: 0.1922, decode.d3.loss_mask: 0.4378, decode.d3.loss_dice: 0.6584, decode.d4.loss_cls: 0.1862, decode.d4.loss_mask: 0.4365, decode.d4.loss_dice: 0.6608, decode.d5.loss_cls: 0.1776, decode.d5.loss_mask: 0.4351, decode.d5.loss_dice: 0.6583, decode.d6.loss_cls: 0.1790, decode.d6.loss_mask: 0.4344, decode.d6.loss_dice: 0.6548, decode.d7.loss_cls: 0.1765, decode.d7.loss_mask: 0.4350, decode.d7.loss_dice: 0.6590, decode.d8.loss_cls: 0.1790, decode.d8.loss_mask: 0.4342, decode.d8.loss_dice: 0.6585, loss: 13.9112, grad_norm: 53.5443 2023-11-12 14:33:01,800 - mmseg - INFO - Iter [113500/160000] lr: 2.906e-05, eta: 6:28:15, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1717, decode.loss_mask: 0.4298, decode.loss_dice: 0.6535, decode.d0.loss_cls: 1.1458, decode.d0.loss_mask: 0.4622, decode.d0.loss_dice: 0.7111, decode.d1.loss_cls: 0.2210, decode.d1.loss_mask: 0.4466, decode.d1.loss_dice: 0.6932, decode.d2.loss_cls: 0.1931, decode.d2.loss_mask: 0.4382, decode.d2.loss_dice: 0.6771, decode.d3.loss_cls: 0.1835, decode.d3.loss_mask: 0.4352, decode.d3.loss_dice: 0.6652, decode.d4.loss_cls: 0.1791, decode.d4.loss_mask: 0.4332, decode.d4.loss_dice: 0.6649, decode.d5.loss_cls: 0.1773, decode.d5.loss_mask: 0.4312, decode.d5.loss_dice: 0.6641, decode.d6.loss_cls: 0.1712, decode.d6.loss_mask: 0.4304, decode.d6.loss_dice: 0.6626, decode.d7.loss_cls: 0.1713, decode.d7.loss_mask: 0.4305, decode.d7.loss_dice: 0.6609, decode.d8.loss_cls: 0.1669, decode.d8.loss_mask: 0.4313, decode.d8.loss_dice: 0.6627, loss: 13.8649, grad_norm: 48.6364 2023-11-12 14:33:26,055 - mmseg - INFO - Iter [113550/160000] lr: 2.903e-05, eta: 6:27:50, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1767, decode.loss_mask: 0.4328, decode.loss_dice: 0.6679, decode.d0.loss_cls: 1.1584, decode.d0.loss_mask: 0.4674, decode.d0.loss_dice: 0.7298, decode.d1.loss_cls: 0.2502, decode.d1.loss_mask: 0.4444, decode.d1.loss_dice: 0.7044, decode.d2.loss_cls: 0.2148, decode.d2.loss_mask: 0.4384, decode.d2.loss_dice: 0.6844, decode.d3.loss_cls: 0.1938, decode.d3.loss_mask: 0.4364, decode.d3.loss_dice: 0.6764, decode.d4.loss_cls: 0.1869, decode.d4.loss_mask: 0.4341, decode.d4.loss_dice: 0.6723, decode.d5.loss_cls: 0.1871, decode.d5.loss_mask: 0.4350, decode.d5.loss_dice: 0.6765, decode.d6.loss_cls: 0.1797, decode.d6.loss_mask: 0.4329, decode.d6.loss_dice: 0.6713, decode.d7.loss_cls: 0.1788, decode.d7.loss_mask: 0.4322, decode.d7.loss_dice: 0.6671, decode.d8.loss_cls: 0.1751, decode.d8.loss_mask: 0.4337, decode.d8.loss_dice: 0.6705, loss: 14.1095, grad_norm: 50.1510 2023-11-12 14:33:50,106 - mmseg - INFO - Iter [113600/160000] lr: 2.900e-05, eta: 6:27:25, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1721, decode.loss_mask: 0.4506, decode.loss_dice: 0.6584, decode.d0.loss_cls: 1.1515, decode.d0.loss_mask: 0.4833, decode.d0.loss_dice: 0.7176, decode.d1.loss_cls: 0.2426, decode.d1.loss_mask: 0.4632, decode.d1.loss_dice: 0.6890, decode.d2.loss_cls: 0.2025, decode.d2.loss_mask: 0.4567, decode.d2.loss_dice: 0.6704, decode.d3.loss_cls: 0.1902, decode.d3.loss_mask: 0.4543, decode.d3.loss_dice: 0.6616, decode.d4.loss_cls: 0.1791, decode.d4.loss_mask: 0.4534, decode.d4.loss_dice: 0.6622, decode.d5.loss_cls: 0.1757, decode.d5.loss_mask: 0.4542, decode.d5.loss_dice: 0.6607, decode.d6.loss_cls: 0.1728, decode.d6.loss_mask: 0.4521, decode.d6.loss_dice: 0.6593, decode.d7.loss_cls: 0.1681, decode.d7.loss_mask: 0.4521, decode.d7.loss_dice: 0.6605, decode.d8.loss_cls: 0.1724, decode.d8.loss_mask: 0.4519, decode.d8.loss_dice: 0.6564, loss: 14.0950, grad_norm: 45.4415 2023-11-12 14:34:14,126 - mmseg - INFO - Iter [113650/160000] lr: 2.897e-05, eta: 6:26:59, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1853, decode.loss_mask: 0.4270, decode.loss_dice: 0.6706, decode.d0.loss_cls: 1.1903, decode.d0.loss_mask: 0.4587, decode.d0.loss_dice: 0.7266, decode.d1.loss_cls: 0.2546, decode.d1.loss_mask: 0.4451, decode.d1.loss_dice: 0.7002, decode.d2.loss_cls: 0.2177, decode.d2.loss_mask: 0.4373, decode.d2.loss_dice: 0.6880, decode.d3.loss_cls: 0.2060, decode.d3.loss_mask: 0.4302, decode.d3.loss_dice: 0.6727, decode.d4.loss_cls: 0.2009, decode.d4.loss_mask: 0.4296, decode.d4.loss_dice: 0.6739, decode.d5.loss_cls: 0.1976, decode.d5.loss_mask: 0.4277, decode.d5.loss_dice: 0.6778, decode.d6.loss_cls: 0.1926, decode.d6.loss_mask: 0.4276, decode.d6.loss_dice: 0.6711, decode.d7.loss_cls: 0.1917, decode.d7.loss_mask: 0.4277, decode.d7.loss_dice: 0.6724, decode.d8.loss_cls: 0.1845, decode.d8.loss_mask: 0.4271, decode.d8.loss_dice: 0.6747, loss: 14.1872, grad_norm: 46.2974 2023-11-12 14:34:40,431 - mmseg - INFO - Iter [113700/160000] lr: 2.894e-05, eta: 6:26:35, time: 0.526, data_time: 0.057, memory: 41146, decode.loss_cls: 0.1678, decode.loss_mask: 0.4351, decode.loss_dice: 0.6642, decode.d0.loss_cls: 1.1443, decode.d0.loss_mask: 0.4652, decode.d0.loss_dice: 0.7213, decode.d1.loss_cls: 0.2318, decode.d1.loss_mask: 0.4471, decode.d1.loss_dice: 0.6972, decode.d2.loss_cls: 0.2003, decode.d2.loss_mask: 0.4395, decode.d2.loss_dice: 0.6788, decode.d3.loss_cls: 0.1922, decode.d3.loss_mask: 0.4349, decode.d3.loss_dice: 0.6673, decode.d4.loss_cls: 0.1811, decode.d4.loss_mask: 0.4355, decode.d4.loss_dice: 0.6692, decode.d5.loss_cls: 0.1776, decode.d5.loss_mask: 0.4353, decode.d5.loss_dice: 0.6713, decode.d6.loss_cls: 0.1780, decode.d6.loss_mask: 0.4342, decode.d6.loss_dice: 0.6633, decode.d7.loss_cls: 0.1692, decode.d7.loss_mask: 0.4351, decode.d7.loss_dice: 0.6674, decode.d8.loss_cls: 0.1704, decode.d8.loss_mask: 0.4338, decode.d8.loss_dice: 0.6656, loss: 13.9742, grad_norm: 46.7083 2023-11-12 14:35:04,631 - mmseg - INFO - Iter [113750/160000] lr: 2.891e-05, eta: 6:26:09, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1648, decode.loss_mask: 0.4101, decode.loss_dice: 0.6307, decode.d0.loss_cls: 1.1042, decode.d0.loss_mask: 0.4374, decode.d0.loss_dice: 0.6996, decode.d1.loss_cls: 0.2172, decode.d1.loss_mask: 0.4200, decode.d1.loss_dice: 0.6627, decode.d2.loss_cls: 0.1888, decode.d2.loss_mask: 0.4124, decode.d2.loss_dice: 0.6466, decode.d3.loss_cls: 0.1797, decode.d3.loss_mask: 0.4116, decode.d3.loss_dice: 0.6333, decode.d4.loss_cls: 0.1692, decode.d4.loss_mask: 0.4112, decode.d4.loss_dice: 0.6393, decode.d5.loss_cls: 0.1698, decode.d5.loss_mask: 0.4091, decode.d5.loss_dice: 0.6346, decode.d6.loss_cls: 0.1627, decode.d6.loss_mask: 0.4105, decode.d6.loss_dice: 0.6357, decode.d7.loss_cls: 0.1592, decode.d7.loss_mask: 0.4109, decode.d7.loss_dice: 0.6307, decode.d8.loss_cls: 0.1600, decode.d8.loss_mask: 0.4093, decode.d8.loss_dice: 0.6354, loss: 13.2666, grad_norm: 47.3814 2023-11-12 14:35:29,211 - mmseg - INFO - Iter [113800/160000] lr: 2.888e-05, eta: 6:25:44, time: 0.492, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1658, decode.loss_mask: 0.4282, decode.loss_dice: 0.6514, decode.d0.loss_cls: 1.1352, decode.d0.loss_mask: 0.4629, decode.d0.loss_dice: 0.7152, decode.d1.loss_cls: 0.2190, decode.d1.loss_mask: 0.4447, decode.d1.loss_dice: 0.6842, decode.d2.loss_cls: 0.1869, decode.d2.loss_mask: 0.4383, decode.d2.loss_dice: 0.6707, decode.d3.loss_cls: 0.1791, decode.d3.loss_mask: 0.4334, decode.d3.loss_dice: 0.6608, decode.d4.loss_cls: 0.1703, decode.d4.loss_mask: 0.4326, decode.d4.loss_dice: 0.6590, decode.d5.loss_cls: 0.1639, decode.d5.loss_mask: 0.4305, decode.d5.loss_dice: 0.6592, decode.d6.loss_cls: 0.1667, decode.d6.loss_mask: 0.4290, decode.d6.loss_dice: 0.6563, decode.d7.loss_cls: 0.1620, decode.d7.loss_mask: 0.4290, decode.d7.loss_dice: 0.6540, decode.d8.loss_cls: 0.1663, decode.d8.loss_mask: 0.4288, decode.d8.loss_dice: 0.6551, loss: 13.7385, grad_norm: 44.9614 2023-11-12 14:35:52,927 - mmseg - INFO - Iter [113850/160000] lr: 2.884e-05, eta: 6:25:18, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1648, decode.loss_mask: 0.4280, decode.loss_dice: 0.6315, decode.d0.loss_cls: 1.1185, decode.d0.loss_mask: 0.4600, decode.d0.loss_dice: 0.6947, decode.d1.loss_cls: 0.2261, decode.d1.loss_mask: 0.4399, decode.d1.loss_dice: 0.6624, decode.d2.loss_cls: 0.1919, decode.d2.loss_mask: 0.4305, decode.d2.loss_dice: 0.6484, decode.d3.loss_cls: 0.1796, decode.d3.loss_mask: 0.4289, decode.d3.loss_dice: 0.6351, decode.d4.loss_cls: 0.1722, decode.d4.loss_mask: 0.4272, decode.d4.loss_dice: 0.6365, decode.d5.loss_cls: 0.1714, decode.d5.loss_mask: 0.4267, decode.d5.loss_dice: 0.6349, decode.d6.loss_cls: 0.1700, decode.d6.loss_mask: 0.4269, decode.d6.loss_dice: 0.6337, decode.d7.loss_cls: 0.1666, decode.d7.loss_mask: 0.4270, decode.d7.loss_dice: 0.6350, decode.d8.loss_cls: 0.1630, decode.d8.loss_mask: 0.4274, decode.d8.loss_dice: 0.6355, loss: 13.4943, grad_norm: 44.7661 2023-11-12 14:36:16,760 - mmseg - INFO - Iter [113900/160000] lr: 2.881e-05, eta: 6:24:53, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1714, decode.loss_mask: 0.4359, decode.loss_dice: 0.6613, decode.d0.loss_cls: 1.1367, decode.d0.loss_mask: 0.4674, decode.d0.loss_dice: 0.7171, decode.d1.loss_cls: 0.2372, decode.d1.loss_mask: 0.4483, decode.d1.loss_dice: 0.6860, decode.d2.loss_cls: 0.2003, decode.d2.loss_mask: 0.4421, decode.d2.loss_dice: 0.6747, decode.d3.loss_cls: 0.1869, decode.d3.loss_mask: 0.4377, decode.d3.loss_dice: 0.6601, decode.d4.loss_cls: 0.1831, decode.d4.loss_mask: 0.4366, decode.d4.loss_dice: 0.6630, decode.d5.loss_cls: 0.1724, decode.d5.loss_mask: 0.4383, decode.d5.loss_dice: 0.6652, decode.d6.loss_cls: 0.1741, decode.d6.loss_mask: 0.4357, decode.d6.loss_dice: 0.6569, decode.d7.loss_cls: 0.1684, decode.d7.loss_mask: 0.4369, decode.d7.loss_dice: 0.6606, decode.d8.loss_cls: 0.1703, decode.d8.loss_mask: 0.4360, decode.d8.loss_dice: 0.6620, loss: 13.9226, grad_norm: 45.9030 2023-11-12 14:36:40,955 - mmseg - INFO - Iter [113950/160000] lr: 2.878e-05, eta: 6:24:28, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1478, decode.loss_mask: 0.4135, decode.loss_dice: 0.6274, decode.d0.loss_cls: 1.1247, decode.d0.loss_mask: 0.4434, decode.d0.loss_dice: 0.6788, decode.d1.loss_cls: 0.2138, decode.d1.loss_mask: 0.4255, decode.d1.loss_dice: 0.6562, decode.d2.loss_cls: 0.1798, decode.d2.loss_mask: 0.4177, decode.d2.loss_dice: 0.6423, decode.d3.loss_cls: 0.1639, decode.d3.loss_mask: 0.4154, decode.d3.loss_dice: 0.6279, decode.d4.loss_cls: 0.1634, decode.d4.loss_mask: 0.4155, decode.d4.loss_dice: 0.6284, decode.d5.loss_cls: 0.1607, decode.d5.loss_mask: 0.4146, decode.d5.loss_dice: 0.6290, decode.d6.loss_cls: 0.1558, decode.d6.loss_mask: 0.4134, decode.d6.loss_dice: 0.6268, decode.d7.loss_cls: 0.1532, decode.d7.loss_mask: 0.4144, decode.d7.loss_dice: 0.6230, decode.d8.loss_cls: 0.1497, decode.d8.loss_mask: 0.4141, decode.d8.loss_dice: 0.6303, loss: 13.1707, grad_norm: 43.9011 2023-11-12 14:37:05,024 - mmseg - INFO - Saving checkpoint at 114000 iterations 2023-11-12 14:37:08,973 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 14:37:08,973 - mmseg - INFO - Iter [114000/160000] lr: 2.875e-05, eta: 6:24:04, time: 0.560, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1682, decode.loss_mask: 0.4332, decode.loss_dice: 0.6566, decode.d0.loss_cls: 1.1384, decode.d0.loss_mask: 0.4683, decode.d0.loss_dice: 0.7172, decode.d1.loss_cls: 0.2345, decode.d1.loss_mask: 0.4475, decode.d1.loss_dice: 0.6855, decode.d2.loss_cls: 0.1968, decode.d2.loss_mask: 0.4427, decode.d2.loss_dice: 0.6744, decode.d3.loss_cls: 0.1816, decode.d3.loss_mask: 0.4375, decode.d3.loss_dice: 0.6648, decode.d4.loss_cls: 0.1751, decode.d4.loss_mask: 0.4385, decode.d4.loss_dice: 0.6638, decode.d5.loss_cls: 0.1730, decode.d5.loss_mask: 0.4373, decode.d5.loss_dice: 0.6638, decode.d6.loss_cls: 0.1715, decode.d6.loss_mask: 0.4357, decode.d6.loss_dice: 0.6592, decode.d7.loss_cls: 0.1701, decode.d7.loss_mask: 0.4355, decode.d7.loss_dice: 0.6582, decode.d8.loss_cls: 0.1704, decode.d8.loss_mask: 0.4347, decode.d8.loss_dice: 0.6595, loss: 13.8933, grad_norm: 45.9466 2023-11-12 14:37:28,023 - mmseg - INFO - per class results: 2023-11-12 14:37:28,028 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.76 | 87.61 | | building | 81.97 | 89.9 | | sky | 94.83 | 97.29 | | floor | 83.57 | 91.13 | | tree | 75.22 | 87.29 | | ceiling | 84.95 | 91.54 | | road | 85.57 | 91.18 | | bed | 90.41 | 95.55 | | windowpane | 64.94 | 80.05 | | grass | 66.3 | 78.64 | | cabinet | 64.27 | 76.3 | | sidewalk | 67.04 | 78.92 | | person | 84.96 | 92.82 | | earth | 38.27 | 55.28 | | door | 50.41 | 68.67 | | table | 65.33 | 81.62 | | mountain | 64.48 | 78.79 | | plant | 54.46 | 69.85 | | curtain | 77.8 | 89.37 | | chair | 64.13 | 78.57 | | car | 84.65 | 91.29 | | water | 55.51 | 68.39 | | painting | 77.23 | 90.51 | | sofa | 71.57 | 83.99 | | shelf | 44.23 | 59.36 | | house | 35.16 | 62.06 | | sea | 67.63 | 90.27 | | mirror | 69.71 | 83.69 | | rug | 65.99 | 77.77 | | field | 29.32 | 53.06 | | armchair | 50.4 | 67.61 | | seat | 60.99 | 83.04 | | fence | 48.32 | 67.38 | | desk | 53.42 | 68.46 | | rock | 49.49 | 72.55 | | wardrobe | 49.01 | 61.39 | | lamp | 72.06 | 84.99 | | bathtub | 83.55 | 90.13 | | railing | 36.55 | 53.03 | | cushion | 64.54 | 76.77 | | base | 40.14 | 64.87 | | box | 29.3 | 38.23 | | column | 47.22 | 61.87 | | signboard | 37.33 | 53.59 | | chest of drawers | 36.83 | 66.85 | | counter | 28.61 | 35.46 | | sand | 33.77 | 45.52 | | sink | 75.81 | 82.38 | | skyscraper | 35.35 | 46.02 | | fireplace | 68.1 | 91.74 | | refrigerator | 81.04 | 90.19 | | grandstand | 36.83 | 69.7 | | path | 26.57 | 46.42 | | stairs | 27.85 | 34.45 | | runway | 85.96 | 92.15 | | case | 62.49 | 83.04 | | pool table | 95.16 | 97.35 | | pillow | 61.5 | 76.81 | | screen door | 64.59 | 70.51 | | stairway | 31.94 | 42.13 | | river | 12.88 | 19.8 | | bridge | 75.46 | 88.51 | | bookcase | 41.76 | 70.16 | | blind | 49.75 | 53.95 | | coffee table | 68.13 | 83.6 | | toilet | 88.44 | 91.46 | | flower | 43.28 | 66.48 | | book | 50.45 | 74.54 | | hill | 7.04 | 14.55 | | bench | 59.31 | 71.88 | | countertop | 59.3 | 73.74 | | stove | 84.07 | 88.81 | | palm | 55.49 | 75.38 | | kitchen island | 53.05 | 69.91 | | computer | 71.31 | 77.86 | | swivel chair | 42.66 | 59.68 | | boat | 46.62 | 54.21 | | bar | 29.51 | 37.08 | | arcade machine | 87.61 | 93.03 | | hovel | 25.31 | 41.95 | | bus | 94.0 | 96.96 | | towel | 67.7 | 82.14 | | light | 62.06 | 74.46 | | truck | 32.67 | 59.63 | | tower | 37.71 | 64.19 | | chandelier | 71.68 | 85.42 | | awning | 34.16 | 48.85 | | streetlight | 39.37 | 66.04 | | booth | 24.86 | 38.41 | | television receiver | 72.24 | 82.51 | | airplane | 64.53 | 73.65 | | dirt track | 14.75 | 47.31 | | apparel | 31.73 | 50.15 | | pole | 32.2 | 48.4 | | land | 6.84 | 9.37 | | bannister | 16.23 | 30.86 | | escalator | 19.87 | 20.96 | | ottoman | 53.75 | 70.89 | | bottle | 41.31 | 67.98 | | buffet | 45.25 | 66.81 | | poster | 27.29 | 45.24 | | stage | 17.23 | 34.29 | | van | 49.2 | 74.16 | | ship | 23.78 | 38.83 | | fountain | 21.31 | 21.81 | | conveyer belt | 74.15 | 93.7 | | canopy | 27.71 | 38.95 | | washer | 71.38 | 74.07 | | plaything | 38.22 | 65.02 | | swimming pool | 60.33 | 60.54 | | stool | 45.82 | 67.66 | | barrel | 70.77 | 96.78 | | basket | 37.06 | 46.65 | | waterfall | 57.74 | 91.89 | | tent | 94.49 | 98.0 | | bag | 19.11 | 23.1 | | minibike | 74.11 | 91.92 | | cradle | 86.46 | 97.29 | | oven | 24.97 | 66.99 | | ball | 45.53 | 53.27 | | food | 63.14 | 77.13 | | step | 15.53 | 24.53 | | tank | 60.79 | 65.77 | | trade name | 27.82 | 34.39 | | microwave | 42.18 | 46.41 | | pot | 50.24 | 57.07 | | animal | 61.42 | 63.37 | | bicycle | 60.58 | 78.46 | | lake | 38.26 | 63.5 | | dishwasher | 81.68 | 87.66 | | screen | 58.37 | 87.5 | | blanket | 23.13 | 30.94 | | sculpture | 66.28 | 86.12 | | hood | 88.44 | 93.34 | | sconce | 57.55 | 69.45 | | vase | 55.08 | 68.87 | | traffic light | 41.65 | 67.7 | | tray | 14.99 | 27.65 | | ashcan | 54.93 | 67.33 | | fan | 70.14 | 84.56 | | pier | 41.3 | 45.37 | | crt screen | 2.75 | 8.35 | | plate | 59.91 | 74.08 | | monitor | 10.49 | 14.48 | | bulletin board | 49.75 | 73.06 | | shower | 2.26 | 23.74 | | radiator | 72.43 | 84.78 | | glass | 21.8 | 23.65 | | clock | 56.41 | 69.82 | | flag | 46.4 | 52.85 | +---------------------+-------+-------+ 2023-11-12 14:37:28,029 - mmseg - INFO - Summary: 2023-11-12 14:37:28,029 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 83.88 | 52.6 | 66.39 | +-------+------+-------+ 2023-11-12 14:37:28,030 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 14:37:28,030 - mmseg - INFO - Iter(val) [250] aAcc: 0.8388, mIoU: 0.5260, mAcc: 0.6639, IoU.wall: 0.7876, IoU.building: 0.8197, IoU.sky: 0.9483, IoU.floor: 0.8357, IoU.tree: 0.7522, IoU.ceiling: 0.8495, IoU.road: 0.8557, IoU.bed : 0.9041, IoU.windowpane: 0.6494, IoU.grass: 0.6630, IoU.cabinet: 0.6427, IoU.sidewalk: 0.6704, IoU.person: 0.8496, IoU.earth: 0.3827, IoU.door: 0.5041, IoU.table: 0.6533, IoU.mountain: 0.6448, IoU.plant: 0.5446, IoU.curtain: 0.7780, IoU.chair: 0.6413, IoU.car: 0.8465, IoU.water: 0.5551, IoU.painting: 0.7723, IoU.sofa: 0.7157, IoU.shelf: 0.4423, IoU.house: 0.3516, IoU.sea: 0.6763, IoU.mirror: 0.6971, IoU.rug: 0.6599, IoU.field: 0.2932, IoU.armchair: 0.5040, IoU.seat: 0.6099, IoU.fence: 0.4832, IoU.desk: 0.5342, IoU.rock: 0.4949, IoU.wardrobe: 0.4901, IoU.lamp: 0.7206, IoU.bathtub: 0.8355, IoU.railing: 0.3655, IoU.cushion: 0.6454, IoU.base: 0.4014, IoU.box: 0.2930, IoU.column: 0.4722, IoU.signboard: 0.3733, IoU.chest of drawers: 0.3683, IoU.counter: 0.2861, IoU.sand: 0.3377, IoU.sink: 0.7581, IoU.skyscraper: 0.3535, IoU.fireplace: 0.6810, IoU.refrigerator: 0.8104, IoU.grandstand: 0.3683, IoU.path: 0.2657, IoU.stairs: 0.2785, IoU.runway: 0.8596, IoU.case: 0.6249, IoU.pool table: 0.9516, IoU.pillow: 0.6150, IoU.screen door: 0.6459, IoU.stairway: 0.3194, IoU.river: 0.1288, IoU.bridge: 0.7546, IoU.bookcase: 0.4176, IoU.blind: 0.4975, IoU.coffee table: 0.6813, IoU.toilet: 0.8844, IoU.flower: 0.4328, IoU.book: 0.5045, IoU.hill: 0.0704, IoU.bench: 0.5931, IoU.countertop: 0.5930, IoU.stove: 0.8407, IoU.palm: 0.5549, IoU.kitchen island: 0.5305, IoU.computer: 0.7131, IoU.swivel chair: 0.4266, IoU.boat: 0.4662, IoU.bar: 0.2951, IoU.arcade machine: 0.8761, IoU.hovel: 0.2531, IoU.bus: 0.9400, IoU.towel: 0.6770, IoU.light: 0.6206, IoU.truck: 0.3267, IoU.tower: 0.3771, IoU.chandelier: 0.7168, IoU.awning: 0.3416, IoU.streetlight: 0.3937, IoU.booth: 0.2486, IoU.television receiver: 0.7224, IoU.airplane: 0.6453, IoU.dirt track: 0.1475, IoU.apparel: 0.3173, IoU.pole: 0.3220, IoU.land: 0.0684, IoU.bannister: 0.1623, IoU.escalator: 0.1987, IoU.ottoman: 0.5375, IoU.bottle: 0.4131, IoU.buffet: 0.4525, IoU.poster: 0.2729, IoU.stage: 0.1723, IoU.van: 0.4920, IoU.ship: 0.2378, IoU.fountain: 0.2131, IoU.conveyer belt: 0.7415, IoU.canopy: 0.2771, IoU.washer: 0.7138, IoU.plaything: 0.3822, IoU.swimming pool: 0.6033, IoU.stool: 0.4582, IoU.barrel: 0.7077, IoU.basket: 0.3706, IoU.waterfall: 0.5774, IoU.tent: 0.9449, IoU.bag: 0.1911, IoU.minibike: 0.7411, IoU.cradle: 0.8646, IoU.oven: 0.2497, IoU.ball: 0.4553, IoU.food: 0.6314, IoU.step: 0.1553, IoU.tank: 0.6079, IoU.trade name: 0.2782, IoU.microwave: 0.4218, IoU.pot: 0.5024, IoU.animal: 0.6142, IoU.bicycle: 0.6058, IoU.lake: 0.3826, IoU.dishwasher: 0.8168, IoU.screen: 0.5837, IoU.blanket: 0.2313, IoU.sculpture: 0.6628, IoU.hood: 0.8844, IoU.sconce: 0.5755, IoU.vase: 0.5508, IoU.traffic light: 0.4165, IoU.tray: 0.1499, IoU.ashcan: 0.5493, IoU.fan: 0.7014, IoU.pier: 0.4130, IoU.crt screen: 0.0275, IoU.plate: 0.5991, IoU.monitor: 0.1049, IoU.bulletin board: 0.4975, IoU.shower: 0.0226, IoU.radiator: 0.7243, IoU.glass: 0.2180, IoU.clock: 0.5641, IoU.flag: 0.4640, Acc.wall: 0.8761, Acc.building: 0.8990, Acc.sky: 0.9729, Acc.floor: 0.9113, Acc.tree: 0.8729, Acc.ceiling: 0.9154, Acc.road: 0.9118, Acc.bed : 0.9555, Acc.windowpane: 0.8005, Acc.grass: 0.7864, Acc.cabinet: 0.7630, Acc.sidewalk: 0.7892, Acc.person: 0.9282, Acc.earth: 0.5528, Acc.door: 0.6867, Acc.table: 0.8162, Acc.mountain: 0.7879, Acc.plant: 0.6985, Acc.curtain: 0.8937, Acc.chair: 0.7857, Acc.car: 0.9129, Acc.water: 0.6839, Acc.painting: 0.9051, Acc.sofa: 0.8399, Acc.shelf: 0.5936, Acc.house: 0.6206, Acc.sea: 0.9027, Acc.mirror: 0.8369, Acc.rug: 0.7777, Acc.field: 0.5306, Acc.armchair: 0.6761, Acc.seat: 0.8304, Acc.fence: 0.6738, Acc.desk: 0.6846, Acc.rock: 0.7255, Acc.wardrobe: 0.6139, Acc.lamp: 0.8499, Acc.bathtub: 0.9013, Acc.railing: 0.5303, Acc.cushion: 0.7677, Acc.base: 0.6487, Acc.box: 0.3823, Acc.column: 0.6187, Acc.signboard: 0.5359, Acc.chest of drawers: 0.6685, Acc.counter: 0.3546, Acc.sand: 0.4552, Acc.sink: 0.8238, Acc.skyscraper: 0.4602, Acc.fireplace: 0.9174, Acc.refrigerator: 0.9019, Acc.grandstand: 0.6970, Acc.path: 0.4642, Acc.stairs: 0.3445, Acc.runway: 0.9215, Acc.case: 0.8304, Acc.pool table: 0.9735, Acc.pillow: 0.7681, Acc.screen door: 0.7051, Acc.stairway: 0.4213, Acc.river: 0.1980, Acc.bridge: 0.8851, Acc.bookcase: 0.7016, Acc.blind: 0.5395, Acc.coffee table: 0.8360, Acc.toilet: 0.9146, Acc.flower: 0.6648, Acc.book: 0.7454, Acc.hill: 0.1455, Acc.bench: 0.7188, Acc.countertop: 0.7374, Acc.stove: 0.8881, Acc.palm: 0.7538, Acc.kitchen island: 0.6991, Acc.computer: 0.7786, Acc.swivel chair: 0.5968, Acc.boat: 0.5421, Acc.bar: 0.3708, Acc.arcade machine: 0.9303, Acc.hovel: 0.4195, Acc.bus: 0.9696, Acc.towel: 0.8214, Acc.light: 0.7446, Acc.truck: 0.5963, Acc.tower: 0.6419, Acc.chandelier: 0.8542, Acc.awning: 0.4885, Acc.streetlight: 0.6604, Acc.booth: 0.3841, Acc.television receiver: 0.8251, Acc.airplane: 0.7365, Acc.dirt track: 0.4731, Acc.apparel: 0.5015, Acc.pole: 0.4840, Acc.land: 0.0937, Acc.bannister: 0.3086, Acc.escalator: 0.2096, Acc.ottoman: 0.7089, Acc.bottle: 0.6798, Acc.buffet: 0.6681, Acc.poster: 0.4524, Acc.stage: 0.3429, Acc.van: 0.7416, Acc.ship: 0.3883, Acc.fountain: 0.2181, Acc.conveyer belt: 0.9370, Acc.canopy: 0.3895, Acc.washer: 0.7407, Acc.plaything: 0.6502, Acc.swimming pool: 0.6054, Acc.stool: 0.6766, Acc.barrel: 0.9678, Acc.basket: 0.4665, Acc.waterfall: 0.9189, Acc.tent: 0.9800, Acc.bag: 0.2310, Acc.minibike: 0.9192, Acc.cradle: 0.9729, Acc.oven: 0.6699, Acc.ball: 0.5327, Acc.food: 0.7713, Acc.step: 0.2453, Acc.tank: 0.6577, Acc.trade name: 0.3439, Acc.microwave: 0.4641, Acc.pot: 0.5707, Acc.animal: 0.6337, Acc.bicycle: 0.7846, Acc.lake: 0.6350, Acc.dishwasher: 0.8766, Acc.screen: 0.8750, Acc.blanket: 0.3094, Acc.sculpture: 0.8612, Acc.hood: 0.9334, Acc.sconce: 0.6945, Acc.vase: 0.6887, Acc.traffic light: 0.6770, Acc.tray: 0.2765, Acc.ashcan: 0.6733, Acc.fan: 0.8456, Acc.pier: 0.4537, Acc.crt screen: 0.0835, Acc.plate: 0.7408, Acc.monitor: 0.1448, Acc.bulletin board: 0.7306, Acc.shower: 0.2374, Acc.radiator: 0.8478, Acc.glass: 0.2365, Acc.clock: 0.6982, Acc.flag: 0.5285 2023-11-12 14:37:51,747 - mmseg - INFO - Iter [114050/160000] lr: 2.872e-05, eta: 6:23:46, time: 0.855, data_time: 0.393, memory: 41146, decode.loss_cls: 0.1734, decode.loss_mask: 0.4234, decode.loss_dice: 0.6535, decode.d0.loss_cls: 1.1482, decode.d0.loss_mask: 0.4540, decode.d0.loss_dice: 0.7119, decode.d1.loss_cls: 0.2390, decode.d1.loss_mask: 0.4386, decode.d1.loss_dice: 0.6939, decode.d2.loss_cls: 0.2047, decode.d2.loss_mask: 0.4303, decode.d2.loss_dice: 0.6667, decode.d3.loss_cls: 0.1950, decode.d3.loss_mask: 0.4256, decode.d3.loss_dice: 0.6556, decode.d4.loss_cls: 0.1857, decode.d4.loss_mask: 0.4251, decode.d4.loss_dice: 0.6590, decode.d5.loss_cls: 0.1806, decode.d5.loss_mask: 0.4230, decode.d5.loss_dice: 0.6614, decode.d6.loss_cls: 0.1787, decode.d6.loss_mask: 0.4239, decode.d6.loss_dice: 0.6584, decode.d7.loss_cls: 0.1755, decode.d7.loss_mask: 0.4234, decode.d7.loss_dice: 0.6565, decode.d8.loss_cls: 0.1694, decode.d8.loss_mask: 0.4238, decode.d8.loss_dice: 0.6563, loss: 13.8145, grad_norm: 43.3522 2023-11-12 14:38:15,680 - mmseg - INFO - Iter [114100/160000] lr: 2.869e-05, eta: 6:23:20, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1716, decode.loss_mask: 0.4163, decode.loss_dice: 0.6534, decode.d0.loss_cls: 1.1385, decode.d0.loss_mask: 0.4482, decode.d0.loss_dice: 0.7101, decode.d1.loss_cls: 0.2319, decode.d1.loss_mask: 0.4308, decode.d1.loss_dice: 0.6848, decode.d2.loss_cls: 0.2060, decode.d2.loss_mask: 0.4223, decode.d2.loss_dice: 0.6694, decode.d3.loss_cls: 0.1910, decode.d3.loss_mask: 0.4219, decode.d3.loss_dice: 0.6600, decode.d4.loss_cls: 0.1844, decode.d4.loss_mask: 0.4183, decode.d4.loss_dice: 0.6558, decode.d5.loss_cls: 0.1836, decode.d5.loss_mask: 0.4158, decode.d5.loss_dice: 0.6575, decode.d6.loss_cls: 0.1758, decode.d6.loss_mask: 0.4167, decode.d6.loss_dice: 0.6570, decode.d7.loss_cls: 0.1753, decode.d7.loss_mask: 0.4154, decode.d7.loss_dice: 0.6531, decode.d8.loss_cls: 0.1784, decode.d8.loss_mask: 0.4145, decode.d8.loss_dice: 0.6524, loss: 13.7104, grad_norm: 44.9545 2023-11-12 14:38:39,437 - mmseg - INFO - Iter [114150/160000] lr: 2.866e-05, eta: 6:22:55, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1678, decode.loss_mask: 0.4414, decode.loss_dice: 0.6612, decode.d0.loss_cls: 1.1236, decode.d0.loss_mask: 0.4758, decode.d0.loss_dice: 0.7199, decode.d1.loss_cls: 0.2308, decode.d1.loss_mask: 0.4540, decode.d1.loss_dice: 0.6919, decode.d2.loss_cls: 0.1969, decode.d2.loss_mask: 0.4472, decode.d2.loss_dice: 0.6707, decode.d3.loss_cls: 0.1817, decode.d3.loss_mask: 0.4420, decode.d3.loss_dice: 0.6646, decode.d4.loss_cls: 0.1764, decode.d4.loss_mask: 0.4415, decode.d4.loss_dice: 0.6623, decode.d5.loss_cls: 0.1722, decode.d5.loss_mask: 0.4415, decode.d5.loss_dice: 0.6632, decode.d6.loss_cls: 0.1734, decode.d6.loss_mask: 0.4413, decode.d6.loss_dice: 0.6532, decode.d7.loss_cls: 0.1703, decode.d7.loss_mask: 0.4418, decode.d7.loss_dice: 0.6573, decode.d8.loss_cls: 0.1679, decode.d8.loss_mask: 0.4418, decode.d8.loss_dice: 0.6603, loss: 13.9339, grad_norm: 49.3755 2023-11-12 14:39:03,379 - mmseg - INFO - Iter [114200/160000] lr: 2.863e-05, eta: 6:22:29, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1625, decode.loss_mask: 0.4145, decode.loss_dice: 0.6492, decode.d0.loss_cls: 1.1387, decode.d0.loss_mask: 0.4439, decode.d0.loss_dice: 0.7035, decode.d1.loss_cls: 0.2337, decode.d1.loss_mask: 0.4249, decode.d1.loss_dice: 0.6758, decode.d2.loss_cls: 0.2009, decode.d2.loss_mask: 0.4209, decode.d2.loss_dice: 0.6624, decode.d3.loss_cls: 0.1860, decode.d3.loss_mask: 0.4176, decode.d3.loss_dice: 0.6539, decode.d4.loss_cls: 0.1725, decode.d4.loss_mask: 0.4163, decode.d4.loss_dice: 0.6517, decode.d5.loss_cls: 0.1720, decode.d5.loss_mask: 0.4167, decode.d5.loss_dice: 0.6505, decode.d6.loss_cls: 0.1724, decode.d6.loss_mask: 0.4152, decode.d6.loss_dice: 0.6418, decode.d7.loss_cls: 0.1679, decode.d7.loss_mask: 0.4138, decode.d7.loss_dice: 0.6452, decode.d8.loss_cls: 0.1641, decode.d8.loss_mask: 0.4138, decode.d8.loss_dice: 0.6484, loss: 13.5505, grad_norm: 43.2690 2023-11-12 14:39:27,208 - mmseg - INFO - Iter [114250/160000] lr: 2.859e-05, eta: 6:22:04, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1811, decode.loss_mask: 0.4235, decode.loss_dice: 0.6580, decode.d0.loss_cls: 1.1364, decode.d0.loss_mask: 0.4536, decode.d0.loss_dice: 0.7108, decode.d1.loss_cls: 0.2463, decode.d1.loss_mask: 0.4322, decode.d1.loss_dice: 0.6867, decode.d2.loss_cls: 0.2195, decode.d2.loss_mask: 0.4271, decode.d2.loss_dice: 0.6651, decode.d3.loss_cls: 0.2086, decode.d3.loss_mask: 0.4248, decode.d3.loss_dice: 0.6568, decode.d4.loss_cls: 0.2012, decode.d4.loss_mask: 0.4251, decode.d4.loss_dice: 0.6577, decode.d5.loss_cls: 0.1918, decode.d5.loss_mask: 0.4248, decode.d5.loss_dice: 0.6612, decode.d6.loss_cls: 0.1913, decode.d6.loss_mask: 0.4245, decode.d6.loss_dice: 0.6533, decode.d7.loss_cls: 0.1837, decode.d7.loss_mask: 0.4250, decode.d7.loss_dice: 0.6546, decode.d8.loss_cls: 0.1790, decode.d8.loss_mask: 0.4240, decode.d8.loss_dice: 0.6567, loss: 13.8845, grad_norm: 44.1506 2023-11-12 14:39:51,097 - mmseg - INFO - Iter [114300/160000] lr: 2.856e-05, eta: 6:21:38, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1628, decode.loss_mask: 0.4373, decode.loss_dice: 0.6509, decode.d0.loss_cls: 1.1334, decode.d0.loss_mask: 0.4704, decode.d0.loss_dice: 0.7063, decode.d1.loss_cls: 0.2227, decode.d1.loss_mask: 0.4484, decode.d1.loss_dice: 0.6779, decode.d2.loss_cls: 0.1899, decode.d2.loss_mask: 0.4437, decode.d2.loss_dice: 0.6655, decode.d3.loss_cls: 0.1755, decode.d3.loss_mask: 0.4382, decode.d3.loss_dice: 0.6537, decode.d4.loss_cls: 0.1708, decode.d4.loss_mask: 0.4381, decode.d4.loss_dice: 0.6536, decode.d5.loss_cls: 0.1674, decode.d5.loss_mask: 0.4375, decode.d5.loss_dice: 0.6529, decode.d6.loss_cls: 0.1643, decode.d6.loss_mask: 0.4383, decode.d6.loss_dice: 0.6488, decode.d7.loss_cls: 0.1610, decode.d7.loss_mask: 0.4380, decode.d7.loss_dice: 0.6530, decode.d8.loss_cls: 0.1583, decode.d8.loss_mask: 0.4372, decode.d8.loss_dice: 0.6477, loss: 13.7433, grad_norm: 46.6402 2023-11-12 14:40:15,306 - mmseg - INFO - Iter [114350/160000] lr: 2.853e-05, eta: 6:21:13, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1617, decode.loss_mask: 0.4332, decode.loss_dice: 0.6490, decode.d0.loss_cls: 1.1284, decode.d0.loss_mask: 0.4619, decode.d0.loss_dice: 0.7002, decode.d1.loss_cls: 0.2263, decode.d1.loss_mask: 0.4444, decode.d1.loss_dice: 0.6822, decode.d2.loss_cls: 0.1981, decode.d2.loss_mask: 0.4384, decode.d2.loss_dice: 0.6666, decode.d3.loss_cls: 0.1822, decode.d3.loss_mask: 0.4347, decode.d3.loss_dice: 0.6509, decode.d4.loss_cls: 0.1722, decode.d4.loss_mask: 0.4332, decode.d4.loss_dice: 0.6514, decode.d5.loss_cls: 0.1661, decode.d5.loss_mask: 0.4342, decode.d5.loss_dice: 0.6525, decode.d6.loss_cls: 0.1661, decode.d6.loss_mask: 0.4336, decode.d6.loss_dice: 0.6504, decode.d7.loss_cls: 0.1692, decode.d7.loss_mask: 0.4337, decode.d7.loss_dice: 0.6503, decode.d8.loss_cls: 0.1639, decode.d8.loss_mask: 0.4347, decode.d8.loss_dice: 0.6489, loss: 13.7185, grad_norm: 46.4093 2023-11-12 14:40:39,126 - mmseg - INFO - Iter [114400/160000] lr: 2.850e-05, eta: 6:20:47, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1801, decode.loss_mask: 0.4243, decode.loss_dice: 0.6601, decode.d0.loss_cls: 1.1465, decode.d0.loss_mask: 0.4556, decode.d0.loss_dice: 0.7165, decode.d1.loss_cls: 0.2401, decode.d1.loss_mask: 0.4390, decode.d1.loss_dice: 0.6868, decode.d2.loss_cls: 0.2121, decode.d2.loss_mask: 0.4294, decode.d2.loss_dice: 0.6742, decode.d3.loss_cls: 0.1984, decode.d3.loss_mask: 0.4263, decode.d3.loss_dice: 0.6588, decode.d4.loss_cls: 0.1919, decode.d4.loss_mask: 0.4257, decode.d4.loss_dice: 0.6637, decode.d5.loss_cls: 0.1848, decode.d5.loss_mask: 0.4246, decode.d5.loss_dice: 0.6616, decode.d6.loss_cls: 0.1859, decode.d6.loss_mask: 0.4245, decode.d6.loss_dice: 0.6574, decode.d7.loss_cls: 0.1840, decode.d7.loss_mask: 0.4243, decode.d7.loss_dice: 0.6570, decode.d8.loss_cls: 0.1765, decode.d8.loss_mask: 0.4242, decode.d8.loss_dice: 0.6609, loss: 13.8951, grad_norm: 51.2635 2023-11-12 14:41:03,039 - mmseg - INFO - Iter [114450/160000] lr: 2.847e-05, eta: 6:20:22, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1608, decode.loss_mask: 0.4280, decode.loss_dice: 0.6625, decode.d0.loss_cls: 1.1487, decode.d0.loss_mask: 0.4571, decode.d0.loss_dice: 0.7091, decode.d1.loss_cls: 0.2273, decode.d1.loss_mask: 0.4424, decode.d1.loss_dice: 0.6925, decode.d2.loss_cls: 0.1885, decode.d2.loss_mask: 0.4346, decode.d2.loss_dice: 0.6787, decode.d3.loss_cls: 0.1774, decode.d3.loss_mask: 0.4303, decode.d3.loss_dice: 0.6712, decode.d4.loss_cls: 0.1718, decode.d4.loss_mask: 0.4308, decode.d4.loss_dice: 0.6717, decode.d5.loss_cls: 0.1685, decode.d5.loss_mask: 0.4301, decode.d5.loss_dice: 0.6691, decode.d6.loss_cls: 0.1659, decode.d6.loss_mask: 0.4288, decode.d6.loss_dice: 0.6654, decode.d7.loss_cls: 0.1642, decode.d7.loss_mask: 0.4288, decode.d7.loss_dice: 0.6655, decode.d8.loss_cls: 0.1583, decode.d8.loss_mask: 0.4300, decode.d8.loss_dice: 0.6662, loss: 13.8240, grad_norm: 48.6803 2023-11-12 14:41:26,810 - mmseg - INFO - Iter [114500/160000] lr: 2.844e-05, eta: 6:19:56, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1606, decode.loss_mask: 0.4486, decode.loss_dice: 0.6657, decode.d0.loss_cls: 1.1640, decode.d0.loss_mask: 0.4776, decode.d0.loss_dice: 0.7188, decode.d1.loss_cls: 0.2301, decode.d1.loss_mask: 0.4614, decode.d1.loss_dice: 0.6918, decode.d2.loss_cls: 0.1894, decode.d2.loss_mask: 0.4515, decode.d2.loss_dice: 0.6783, decode.d3.loss_cls: 0.1800, decode.d3.loss_mask: 0.4484, decode.d3.loss_dice: 0.6676, decode.d4.loss_cls: 0.1706, decode.d4.loss_mask: 0.4480, decode.d4.loss_dice: 0.6685, decode.d5.loss_cls: 0.1667, decode.d5.loss_mask: 0.4486, decode.d5.loss_dice: 0.6684, decode.d6.loss_cls: 0.1681, decode.d6.loss_mask: 0.4496, decode.d6.loss_dice: 0.6630, decode.d7.loss_cls: 0.1654, decode.d7.loss_mask: 0.4474, decode.d7.loss_dice: 0.6610, decode.d8.loss_cls: 0.1596, decode.d8.loss_mask: 0.4485, decode.d8.loss_dice: 0.6672, loss: 14.0345, grad_norm: 46.4888 2023-11-12 14:41:50,516 - mmseg - INFO - Iter [114550/160000] lr: 2.841e-05, eta: 6:19:31, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1649, decode.loss_mask: 0.4371, decode.loss_dice: 0.6594, decode.d0.loss_cls: 1.1142, decode.d0.loss_mask: 0.4728, decode.d0.loss_dice: 0.7147, decode.d1.loss_cls: 0.2262, decode.d1.loss_mask: 0.4508, decode.d1.loss_dice: 0.6847, decode.d2.loss_cls: 0.1979, decode.d2.loss_mask: 0.4430, decode.d2.loss_dice: 0.6759, decode.d3.loss_cls: 0.1820, decode.d3.loss_mask: 0.4383, decode.d3.loss_dice: 0.6641, decode.d4.loss_cls: 0.1709, decode.d4.loss_mask: 0.4386, decode.d4.loss_dice: 0.6639, decode.d5.loss_cls: 0.1694, decode.d5.loss_mask: 0.4382, decode.d5.loss_dice: 0.6610, decode.d6.loss_cls: 0.1687, decode.d6.loss_mask: 0.4370, decode.d6.loss_dice: 0.6556, decode.d7.loss_cls: 0.1653, decode.d7.loss_mask: 0.4375, decode.d7.loss_dice: 0.6614, decode.d8.loss_cls: 0.1634, decode.d8.loss_mask: 0.4362, decode.d8.loss_dice: 0.6605, loss: 13.8535, grad_norm: 44.5014 2023-11-12 14:42:14,492 - mmseg - INFO - Iter [114600/160000] lr: 2.838e-05, eta: 6:19:05, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1658, decode.loss_mask: 0.4179, decode.loss_dice: 0.6528, decode.d0.loss_cls: 1.1332, decode.d0.loss_mask: 0.4504, decode.d0.loss_dice: 0.7113, decode.d1.loss_cls: 0.2264, decode.d1.loss_mask: 0.4293, decode.d1.loss_dice: 0.6804, decode.d2.loss_cls: 0.1898, decode.d2.loss_mask: 0.4235, decode.d2.loss_dice: 0.6686, decode.d3.loss_cls: 0.1761, decode.d3.loss_mask: 0.4197, decode.d3.loss_dice: 0.6612, decode.d4.loss_cls: 0.1673, decode.d4.loss_mask: 0.4190, decode.d4.loss_dice: 0.6582, decode.d5.loss_cls: 0.1660, decode.d5.loss_mask: 0.4189, decode.d5.loss_dice: 0.6554, decode.d6.loss_cls: 0.1665, decode.d6.loss_mask: 0.4179, decode.d6.loss_dice: 0.6543, decode.d7.loss_cls: 0.1643, decode.d7.loss_mask: 0.4182, decode.d7.loss_dice: 0.6509, decode.d8.loss_cls: 0.1653, decode.d8.loss_mask: 0.4180, decode.d8.loss_dice: 0.6544, loss: 13.6011, grad_norm: 43.8797 2023-11-12 14:42:38,297 - mmseg - INFO - Iter [114650/160000] lr: 2.834e-05, eta: 6:18:40, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1636, decode.loss_mask: 0.4174, decode.loss_dice: 0.6547, decode.d0.loss_cls: 1.1527, decode.d0.loss_mask: 0.4449, decode.d0.loss_dice: 0.7062, decode.d1.loss_cls: 0.2353, decode.d1.loss_mask: 0.4307, decode.d1.loss_dice: 0.6800, decode.d2.loss_cls: 0.2011, decode.d2.loss_mask: 0.4221, decode.d2.loss_dice: 0.6677, decode.d3.loss_cls: 0.1827, decode.d3.loss_mask: 0.4191, decode.d3.loss_dice: 0.6560, decode.d4.loss_cls: 0.1797, decode.d4.loss_mask: 0.4181, decode.d4.loss_dice: 0.6578, decode.d5.loss_cls: 0.1693, decode.d5.loss_mask: 0.4166, decode.d5.loss_dice: 0.6556, decode.d6.loss_cls: 0.1701, decode.d6.loss_mask: 0.4166, decode.d6.loss_dice: 0.6546, decode.d7.loss_cls: 0.1679, decode.d7.loss_mask: 0.4168, decode.d7.loss_dice: 0.6525, decode.d8.loss_cls: 0.1654, decode.d8.loss_mask: 0.4171, decode.d8.loss_dice: 0.6531, loss: 13.6457, grad_norm: 43.5551 2023-11-12 14:43:02,151 - mmseg - INFO - Iter [114700/160000] lr: 2.831e-05, eta: 6:18:14, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1699, decode.loss_mask: 0.4286, decode.loss_dice: 0.6682, decode.d0.loss_cls: 1.1282, decode.d0.loss_mask: 0.4616, decode.d0.loss_dice: 0.7266, decode.d1.loss_cls: 0.2308, decode.d1.loss_mask: 0.4438, decode.d1.loss_dice: 0.7017, decode.d2.loss_cls: 0.1982, decode.d2.loss_mask: 0.4361, decode.d2.loss_dice: 0.6867, decode.d3.loss_cls: 0.1855, decode.d3.loss_mask: 0.4317, decode.d3.loss_dice: 0.6719, decode.d4.loss_cls: 0.1796, decode.d4.loss_mask: 0.4300, decode.d4.loss_dice: 0.6701, decode.d5.loss_cls: 0.1739, decode.d5.loss_mask: 0.4304, decode.d5.loss_dice: 0.6715, decode.d6.loss_cls: 0.1749, decode.d6.loss_mask: 0.4285, decode.d6.loss_dice: 0.6662, decode.d7.loss_cls: 0.1724, decode.d7.loss_mask: 0.4288, decode.d7.loss_dice: 0.6705, decode.d8.loss_cls: 0.1682, decode.d8.loss_mask: 0.4285, decode.d8.loss_dice: 0.6684, loss: 13.9315, grad_norm: 45.3063 2023-11-12 14:43:26,269 - mmseg - INFO - Iter [114750/160000] lr: 2.828e-05, eta: 6:17:49, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1870, decode.loss_mask: 0.4214, decode.loss_dice: 0.6583, decode.d0.loss_cls: 1.1595, decode.d0.loss_mask: 0.4559, decode.d0.loss_dice: 0.7219, decode.d1.loss_cls: 0.2479, decode.d1.loss_mask: 0.4355, decode.d1.loss_dice: 0.6965, decode.d2.loss_cls: 0.2181, decode.d2.loss_mask: 0.4285, decode.d2.loss_dice: 0.6791, decode.d3.loss_cls: 0.2053, decode.d3.loss_mask: 0.4245, decode.d3.loss_dice: 0.6651, decode.d4.loss_cls: 0.1913, decode.d4.loss_mask: 0.4256, decode.d4.loss_dice: 0.6670, decode.d5.loss_cls: 0.1879, decode.d5.loss_mask: 0.4236, decode.d5.loss_dice: 0.6631, decode.d6.loss_cls: 0.1899, decode.d6.loss_mask: 0.4210, decode.d6.loss_dice: 0.6594, decode.d7.loss_cls: 0.1825, decode.d7.loss_mask: 0.4218, decode.d7.loss_dice: 0.6646, decode.d8.loss_cls: 0.1850, decode.d8.loss_mask: 0.4215, decode.d8.loss_dice: 0.6568, loss: 13.9653, grad_norm: 46.6904 2023-11-12 14:43:50,236 - mmseg - INFO - Iter [114800/160000] lr: 2.825e-05, eta: 6:17:23, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1687, decode.loss_mask: 0.4168, decode.loss_dice: 0.6415, decode.d0.loss_cls: 1.1270, decode.d0.loss_mask: 0.4436, decode.d0.loss_dice: 0.7007, decode.d1.loss_cls: 0.2277, decode.d1.loss_mask: 0.4261, decode.d1.loss_dice: 0.6761, decode.d2.loss_cls: 0.1993, decode.d2.loss_mask: 0.4202, decode.d2.loss_dice: 0.6547, decode.d3.loss_cls: 0.1842, decode.d3.loss_mask: 0.4177, decode.d3.loss_dice: 0.6442, decode.d4.loss_cls: 0.1791, decode.d4.loss_mask: 0.4167, decode.d4.loss_dice: 0.6419, decode.d5.loss_cls: 0.1743, decode.d5.loss_mask: 0.4171, decode.d5.loss_dice: 0.6426, decode.d6.loss_cls: 0.1709, decode.d6.loss_mask: 0.4168, decode.d6.loss_dice: 0.6400, decode.d7.loss_cls: 0.1688, decode.d7.loss_mask: 0.4159, decode.d7.loss_dice: 0.6387, decode.d8.loss_cls: 0.1634, decode.d8.loss_mask: 0.4170, decode.d8.loss_dice: 0.6456, loss: 13.4973, grad_norm: 47.8207 2023-11-12 14:44:14,074 - mmseg - INFO - Iter [114850/160000] lr: 2.822e-05, eta: 6:16:58, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1730, decode.loss_mask: 0.4373, decode.loss_dice: 0.6589, decode.d0.loss_cls: 1.1522, decode.d0.loss_mask: 0.4706, decode.d0.loss_dice: 0.7188, decode.d1.loss_cls: 0.2354, decode.d1.loss_mask: 0.4496, decode.d1.loss_dice: 0.6929, decode.d2.loss_cls: 0.2072, decode.d2.loss_mask: 0.4440, decode.d2.loss_dice: 0.6789, decode.d3.loss_cls: 0.1892, decode.d3.loss_mask: 0.4414, decode.d3.loss_dice: 0.6679, decode.d4.loss_cls: 0.1813, decode.d4.loss_mask: 0.4388, decode.d4.loss_dice: 0.6668, decode.d5.loss_cls: 0.1788, decode.d5.loss_mask: 0.4394, decode.d5.loss_dice: 0.6629, decode.d6.loss_cls: 0.1726, decode.d6.loss_mask: 0.4392, decode.d6.loss_dice: 0.6605, decode.d7.loss_cls: 0.1714, decode.d7.loss_mask: 0.4385, decode.d7.loss_dice: 0.6612, decode.d8.loss_cls: 0.1742, decode.d8.loss_mask: 0.4367, decode.d8.loss_dice: 0.6612, loss: 14.0009, grad_norm: 47.4788 2023-11-12 14:44:37,929 - mmseg - INFO - Iter [114900/160000] lr: 2.819e-05, eta: 6:16:32, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1690, decode.loss_mask: 0.4333, decode.loss_dice: 0.6494, decode.d0.loss_cls: 1.1269, decode.d0.loss_mask: 0.4698, decode.d0.loss_dice: 0.7005, decode.d1.loss_cls: 0.2303, decode.d1.loss_mask: 0.4487, decode.d1.loss_dice: 0.6817, decode.d2.loss_cls: 0.2002, decode.d2.loss_mask: 0.4413, decode.d2.loss_dice: 0.6632, decode.d3.loss_cls: 0.1812, decode.d3.loss_mask: 0.4356, decode.d3.loss_dice: 0.6587, decode.d4.loss_cls: 0.1767, decode.d4.loss_mask: 0.4356, decode.d4.loss_dice: 0.6536, decode.d5.loss_cls: 0.1693, decode.d5.loss_mask: 0.4353, decode.d5.loss_dice: 0.6558, decode.d6.loss_cls: 0.1739, decode.d6.loss_mask: 0.4347, decode.d6.loss_dice: 0.6454, decode.d7.loss_cls: 0.1690, decode.d7.loss_mask: 0.4344, decode.d7.loss_dice: 0.6507, decode.d8.loss_cls: 0.1676, decode.d8.loss_mask: 0.4327, decode.d8.loss_dice: 0.6549, loss: 13.7796, grad_norm: 44.0045 2023-11-12 14:45:04,111 - mmseg - INFO - Iter [114950/160000] lr: 2.816e-05, eta: 6:16:07, time: 0.524, data_time: 0.057, memory: 41146, decode.loss_cls: 0.1642, decode.loss_mask: 0.4272, decode.loss_dice: 0.6445, decode.d0.loss_cls: 1.1171, decode.d0.loss_mask: 0.4566, decode.d0.loss_dice: 0.6990, decode.d1.loss_cls: 0.2213, decode.d1.loss_mask: 0.4407, decode.d1.loss_dice: 0.6749, decode.d2.loss_cls: 0.1910, decode.d2.loss_mask: 0.4310, decode.d2.loss_dice: 0.6589, decode.d3.loss_cls: 0.1799, decode.d3.loss_mask: 0.4263, decode.d3.loss_dice: 0.6466, decode.d4.loss_cls: 0.1745, decode.d4.loss_mask: 0.4264, decode.d4.loss_dice: 0.6465, decode.d5.loss_cls: 0.1690, decode.d5.loss_mask: 0.4266, decode.d5.loss_dice: 0.6480, decode.d6.loss_cls: 0.1658, decode.d6.loss_mask: 0.4260, decode.d6.loss_dice: 0.6416, decode.d7.loss_cls: 0.1613, decode.d7.loss_mask: 0.4263, decode.d7.loss_dice: 0.6420, decode.d8.loss_cls: 0.1663, decode.d8.loss_mask: 0.4267, decode.d8.loss_dice: 0.6424, loss: 13.5687, grad_norm: 45.0317 2023-11-12 14:45:27,926 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 14:45:27,927 - mmseg - INFO - Iter [115000/160000] lr: 2.813e-05, eta: 6:15:42, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1713, decode.loss_mask: 0.4367, decode.loss_dice: 0.6659, decode.d0.loss_cls: 1.1411, decode.d0.loss_mask: 0.4703, decode.d0.loss_dice: 0.7197, decode.d1.loss_cls: 0.2336, decode.d1.loss_mask: 0.4517, decode.d1.loss_dice: 0.6972, decode.d2.loss_cls: 0.2043, decode.d2.loss_mask: 0.4428, decode.d2.loss_dice: 0.6773, decode.d3.loss_cls: 0.1835, decode.d3.loss_mask: 0.4397, decode.d3.loss_dice: 0.6730, decode.d4.loss_cls: 0.1770, decode.d4.loss_mask: 0.4399, decode.d4.loss_dice: 0.6731, decode.d5.loss_cls: 0.1807, decode.d5.loss_mask: 0.4368, decode.d5.loss_dice: 0.6706, decode.d6.loss_cls: 0.1774, decode.d6.loss_mask: 0.4375, decode.d6.loss_dice: 0.6642, decode.d7.loss_cls: 0.1744, decode.d7.loss_mask: 0.4373, decode.d7.loss_dice: 0.6667, decode.d8.loss_cls: 0.1747, decode.d8.loss_mask: 0.4375, decode.d8.loss_dice: 0.6618, loss: 14.0178, grad_norm: 48.6092 2023-11-12 14:45:51,634 - mmseg - INFO - Iter [115050/160000] lr: 2.809e-05, eta: 6:15:16, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1758, decode.loss_mask: 0.4330, decode.loss_dice: 0.6612, decode.d0.loss_cls: 1.1502, decode.d0.loss_mask: 0.4668, decode.d0.loss_dice: 0.7082, decode.d1.loss_cls: 0.2333, decode.d1.loss_mask: 0.4456, decode.d1.loss_dice: 0.6904, decode.d2.loss_cls: 0.2020, decode.d2.loss_mask: 0.4412, decode.d2.loss_dice: 0.6779, decode.d3.loss_cls: 0.1920, decode.d3.loss_mask: 0.4348, decode.d3.loss_dice: 0.6649, decode.d4.loss_cls: 0.1858, decode.d4.loss_mask: 0.4344, decode.d4.loss_dice: 0.6647, decode.d5.loss_cls: 0.1818, decode.d5.loss_mask: 0.4338, decode.d5.loss_dice: 0.6620, decode.d6.loss_cls: 0.1814, decode.d6.loss_mask: 0.4330, decode.d6.loss_dice: 0.6589, decode.d7.loss_cls: 0.1782, decode.d7.loss_mask: 0.4325, decode.d7.loss_dice: 0.6583, decode.d8.loss_cls: 0.1768, decode.d8.loss_mask: 0.4332, decode.d8.loss_dice: 0.6584, loss: 13.9505, grad_norm: 48.2782 2023-11-12 14:46:15,383 - mmseg - INFO - Iter [115100/160000] lr: 2.806e-05, eta: 6:14:51, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1732, decode.loss_mask: 0.4051, decode.loss_dice: 0.6413, decode.d0.loss_cls: 1.1443, decode.d0.loss_mask: 0.4330, decode.d0.loss_dice: 0.6960, decode.d1.loss_cls: 0.2347, decode.d1.loss_mask: 0.4186, decode.d1.loss_dice: 0.6718, decode.d2.loss_cls: 0.2019, decode.d2.loss_mask: 0.4119, decode.d2.loss_dice: 0.6562, decode.d3.loss_cls: 0.1881, decode.d3.loss_mask: 0.4087, decode.d3.loss_dice: 0.6462, decode.d4.loss_cls: 0.1837, decode.d4.loss_mask: 0.4065, decode.d4.loss_dice: 0.6455, decode.d5.loss_cls: 0.1817, decode.d5.loss_mask: 0.4053, decode.d5.loss_dice: 0.6436, decode.d6.loss_cls: 0.1771, decode.d6.loss_mask: 0.4057, decode.d6.loss_dice: 0.6407, decode.d7.loss_cls: 0.1781, decode.d7.loss_mask: 0.4048, decode.d7.loss_dice: 0.6377, decode.d8.loss_cls: 0.1766, decode.d8.loss_mask: 0.4053, decode.d8.loss_dice: 0.6400, loss: 13.4632, grad_norm: 44.6540 2023-11-12 14:46:39,273 - mmseg - INFO - Iter [115150/160000] lr: 2.803e-05, eta: 6:14:25, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1596, decode.loss_mask: 0.4199, decode.loss_dice: 0.6463, decode.d0.loss_cls: 1.1190, decode.d0.loss_mask: 0.4494, decode.d0.loss_dice: 0.6985, decode.d1.loss_cls: 0.2210, decode.d1.loss_mask: 0.4317, decode.d1.loss_dice: 0.6747, decode.d2.loss_cls: 0.1907, decode.d2.loss_mask: 0.4278, decode.d2.loss_dice: 0.6582, decode.d3.loss_cls: 0.1726, decode.d3.loss_mask: 0.4241, decode.d3.loss_dice: 0.6497, decode.d4.loss_cls: 0.1668, decode.d4.loss_mask: 0.4232, decode.d4.loss_dice: 0.6491, decode.d5.loss_cls: 0.1617, decode.d5.loss_mask: 0.4213, decode.d5.loss_dice: 0.6480, decode.d6.loss_cls: 0.1623, decode.d6.loss_mask: 0.4205, decode.d6.loss_dice: 0.6443, decode.d7.loss_cls: 0.1630, decode.d7.loss_mask: 0.4205, decode.d7.loss_dice: 0.6425, decode.d8.loss_cls: 0.1599, decode.d8.loss_mask: 0.4191, decode.d8.loss_dice: 0.6459, loss: 13.4914, grad_norm: 47.1168 2023-11-12 14:47:03,347 - mmseg - INFO - Iter [115200/160000] lr: 2.800e-05, eta: 6:14:00, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1462, decode.loss_mask: 0.4198, decode.loss_dice: 0.6485, decode.d0.loss_cls: 1.1035, decode.d0.loss_mask: 0.4492, decode.d0.loss_dice: 0.7061, decode.d1.loss_cls: 0.2173, decode.d1.loss_mask: 0.4328, decode.d1.loss_dice: 0.6798, decode.d2.loss_cls: 0.1839, decode.d2.loss_mask: 0.4251, decode.d2.loss_dice: 0.6625, decode.d3.loss_cls: 0.1618, decode.d3.loss_mask: 0.4226, decode.d3.loss_dice: 0.6534, decode.d4.loss_cls: 0.1602, decode.d4.loss_mask: 0.4215, decode.d4.loss_dice: 0.6530, decode.d5.loss_cls: 0.1556, decode.d5.loss_mask: 0.4204, decode.d5.loss_dice: 0.6544, decode.d6.loss_cls: 0.1590, decode.d6.loss_mask: 0.4192, decode.d6.loss_dice: 0.6496, decode.d7.loss_cls: 0.1549, decode.d7.loss_mask: 0.4205, decode.d7.loss_dice: 0.6500, decode.d8.loss_cls: 0.1488, decode.d8.loss_mask: 0.4205, decode.d8.loss_dice: 0.6507, loss: 13.4505, grad_norm: 48.2672 2023-11-12 14:47:27,236 - mmseg - INFO - Iter [115250/160000] lr: 2.797e-05, eta: 6:13:34, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1683, decode.loss_mask: 0.4452, decode.loss_dice: 0.6685, decode.d0.loss_cls: 1.1145, decode.d0.loss_mask: 0.4836, decode.d0.loss_dice: 0.7267, decode.d1.loss_cls: 0.2277, decode.d1.loss_mask: 0.4593, decode.d1.loss_dice: 0.6966, decode.d2.loss_cls: 0.2001, decode.d2.loss_mask: 0.4496, decode.d2.loss_dice: 0.6868, decode.d3.loss_cls: 0.1895, decode.d3.loss_mask: 0.4466, decode.d3.loss_dice: 0.6740, decode.d4.loss_cls: 0.1770, decode.d4.loss_mask: 0.4454, decode.d4.loss_dice: 0.6740, decode.d5.loss_cls: 0.1772, decode.d5.loss_mask: 0.4461, decode.d5.loss_dice: 0.6738, decode.d6.loss_cls: 0.1753, decode.d6.loss_mask: 0.4451, decode.d6.loss_dice: 0.6726, decode.d7.loss_cls: 0.1702, decode.d7.loss_mask: 0.4463, decode.d7.loss_dice: 0.6744, decode.d8.loss_cls: 0.1711, decode.d8.loss_mask: 0.4456, decode.d8.loss_dice: 0.6712, loss: 14.1021, grad_norm: 53.3617 2023-11-12 14:47:51,024 - mmseg - INFO - Iter [115300/160000] lr: 2.794e-05, eta: 6:13:09, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1698, decode.loss_mask: 0.4142, decode.loss_dice: 0.6414, decode.d0.loss_cls: 1.1343, decode.d0.loss_mask: 0.4452, decode.d0.loss_dice: 0.7019, decode.d1.loss_cls: 0.2309, decode.d1.loss_mask: 0.4279, decode.d1.loss_dice: 0.6731, decode.d2.loss_cls: 0.1974, decode.d2.loss_mask: 0.4203, decode.d2.loss_dice: 0.6572, decode.d3.loss_cls: 0.1848, decode.d3.loss_mask: 0.4172, decode.d3.loss_dice: 0.6455, decode.d4.loss_cls: 0.1772, decode.d4.loss_mask: 0.4172, decode.d4.loss_dice: 0.6431, decode.d5.loss_cls: 0.1725, decode.d5.loss_mask: 0.4158, decode.d5.loss_dice: 0.6458, decode.d6.loss_cls: 0.1765, decode.d6.loss_mask: 0.4139, decode.d6.loss_dice: 0.6359, decode.d7.loss_cls: 0.1753, decode.d7.loss_mask: 0.4150, decode.d7.loss_dice: 0.6402, decode.d8.loss_cls: 0.1680, decode.d8.loss_mask: 0.4155, decode.d8.loss_dice: 0.6407, loss: 13.5138, grad_norm: 47.0831 2023-11-12 14:48:14,702 - mmseg - INFO - Iter [115350/160000] lr: 2.791e-05, eta: 6:12:43, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1676, decode.loss_mask: 0.4432, decode.loss_dice: 0.6574, decode.d0.loss_cls: 1.1323, decode.d0.loss_mask: 0.4750, decode.d0.loss_dice: 0.7171, decode.d1.loss_cls: 0.2338, decode.d1.loss_mask: 0.4568, decode.d1.loss_dice: 0.6940, decode.d2.loss_cls: 0.1962, decode.d2.loss_mask: 0.4513, decode.d2.loss_dice: 0.6761, decode.d3.loss_cls: 0.1869, decode.d3.loss_mask: 0.4467, decode.d3.loss_dice: 0.6654, decode.d4.loss_cls: 0.1765, decode.d4.loss_mask: 0.4444, decode.d4.loss_dice: 0.6632, decode.d5.loss_cls: 0.1684, decode.d5.loss_mask: 0.4449, decode.d5.loss_dice: 0.6661, decode.d6.loss_cls: 0.1687, decode.d6.loss_mask: 0.4440, decode.d6.loss_dice: 0.6650, decode.d7.loss_cls: 0.1685, decode.d7.loss_mask: 0.4446, decode.d7.loss_dice: 0.6622, decode.d8.loss_cls: 0.1670, decode.d8.loss_mask: 0.4443, decode.d8.loss_dice: 0.6624, loss: 13.9900, grad_norm: 47.1657 2023-11-12 14:48:38,528 - mmseg - INFO - Iter [115400/160000] lr: 2.788e-05, eta: 6:12:18, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1573, decode.loss_mask: 0.4219, decode.loss_dice: 0.6490, decode.d0.loss_cls: 1.1583, decode.d0.loss_mask: 0.4547, decode.d0.loss_dice: 0.7042, decode.d1.loss_cls: 0.2207, decode.d1.loss_mask: 0.4347, decode.d1.loss_dice: 0.6780, decode.d2.loss_cls: 0.1950, decode.d2.loss_mask: 0.4287, decode.d2.loss_dice: 0.6632, decode.d3.loss_cls: 0.1770, decode.d3.loss_mask: 0.4238, decode.d3.loss_dice: 0.6549, decode.d4.loss_cls: 0.1688, decode.d4.loss_mask: 0.4236, decode.d4.loss_dice: 0.6507, decode.d5.loss_cls: 0.1687, decode.d5.loss_mask: 0.4223, decode.d5.loss_dice: 0.6509, decode.d6.loss_cls: 0.1641, decode.d6.loss_mask: 0.4228, decode.d6.loss_dice: 0.6482, decode.d7.loss_cls: 0.1630, decode.d7.loss_mask: 0.4229, decode.d7.loss_dice: 0.6459, decode.d8.loss_cls: 0.1618, decode.d8.loss_mask: 0.4220, decode.d8.loss_dice: 0.6499, loss: 13.6070, grad_norm: 44.7463 2023-11-12 14:49:02,442 - mmseg - INFO - Iter [115450/160000] lr: 2.784e-05, eta: 6:11:52, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1702, decode.loss_mask: 0.4290, decode.loss_dice: 0.6594, decode.d0.loss_cls: 1.1539, decode.d0.loss_mask: 0.4617, decode.d0.loss_dice: 0.7210, decode.d1.loss_cls: 0.2372, decode.d1.loss_mask: 0.4405, decode.d1.loss_dice: 0.6936, decode.d2.loss_cls: 0.2113, decode.d2.loss_mask: 0.4355, decode.d2.loss_dice: 0.6771, decode.d3.loss_cls: 0.1911, decode.d3.loss_mask: 0.4320, decode.d3.loss_dice: 0.6648, decode.d4.loss_cls: 0.1868, decode.d4.loss_mask: 0.4303, decode.d4.loss_dice: 0.6587, decode.d5.loss_cls: 0.1778, decode.d5.loss_mask: 0.4303, decode.d5.loss_dice: 0.6595, decode.d6.loss_cls: 0.1744, decode.d6.loss_mask: 0.4304, decode.d6.loss_dice: 0.6533, decode.d7.loss_cls: 0.1722, decode.d7.loss_mask: 0.4290, decode.d7.loss_dice: 0.6562, decode.d8.loss_cls: 0.1705, decode.d8.loss_mask: 0.4297, decode.d8.loss_dice: 0.6582, loss: 13.8956, grad_norm: 46.8707 2023-11-12 14:49:26,200 - mmseg - INFO - Iter [115500/160000] lr: 2.781e-05, eta: 6:11:27, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1647, decode.loss_mask: 0.4332, decode.loss_dice: 0.6536, decode.d0.loss_cls: 1.1349, decode.d0.loss_mask: 0.4648, decode.d0.loss_dice: 0.7070, decode.d1.loss_cls: 0.2234, decode.d1.loss_mask: 0.4447, decode.d1.loss_dice: 0.6808, decode.d2.loss_cls: 0.1942, decode.d2.loss_mask: 0.4388, decode.d2.loss_dice: 0.6690, decode.d3.loss_cls: 0.1814, decode.d3.loss_mask: 0.4340, decode.d3.loss_dice: 0.6592, decode.d4.loss_cls: 0.1715, decode.d4.loss_mask: 0.4335, decode.d4.loss_dice: 0.6599, decode.d5.loss_cls: 0.1668, decode.d5.loss_mask: 0.4334, decode.d5.loss_dice: 0.6609, decode.d6.loss_cls: 0.1686, decode.d6.loss_mask: 0.4326, decode.d6.loss_dice: 0.6544, decode.d7.loss_cls: 0.1624, decode.d7.loss_mask: 0.4324, decode.d7.loss_dice: 0.6581, decode.d8.loss_cls: 0.1640, decode.d8.loss_mask: 0.4329, decode.d8.loss_dice: 0.6562, loss: 13.7713, grad_norm: 47.2763 2023-11-12 14:49:50,143 - mmseg - INFO - Iter [115550/160000] lr: 2.778e-05, eta: 6:11:01, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1784, decode.loss_mask: 0.4217, decode.loss_dice: 0.6352, decode.d0.loss_cls: 1.1504, decode.d0.loss_mask: 0.4521, decode.d0.loss_dice: 0.6876, decode.d1.loss_cls: 0.2471, decode.d1.loss_mask: 0.4358, decode.d1.loss_dice: 0.6633, decode.d2.loss_cls: 0.2121, decode.d2.loss_mask: 0.4258, decode.d2.loss_dice: 0.6523, decode.d3.loss_cls: 0.1988, decode.d3.loss_mask: 0.4231, decode.d3.loss_dice: 0.6434, decode.d4.loss_cls: 0.1944, decode.d4.loss_mask: 0.4208, decode.d4.loss_dice: 0.6374, decode.d5.loss_cls: 0.1825, decode.d5.loss_mask: 0.4206, decode.d5.loss_dice: 0.6370, decode.d6.loss_cls: 0.1816, decode.d6.loss_mask: 0.4197, decode.d6.loss_dice: 0.6346, decode.d7.loss_cls: 0.1770, decode.d7.loss_mask: 0.4203, decode.d7.loss_dice: 0.6332, decode.d8.loss_cls: 0.1773, decode.d8.loss_mask: 0.4223, decode.d8.loss_dice: 0.6387, loss: 13.6245, grad_norm: 46.4208 2023-11-12 14:50:14,141 - mmseg - INFO - Iter [115600/160000] lr: 2.775e-05, eta: 6:10:36, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1674, decode.loss_mask: 0.4312, decode.loss_dice: 0.6719, decode.d0.loss_cls: 1.1388, decode.d0.loss_mask: 0.4607, decode.d0.loss_dice: 0.7256, decode.d1.loss_cls: 0.2263, decode.d1.loss_mask: 0.4452, decode.d1.loss_dice: 0.7016, decode.d2.loss_cls: 0.2012, decode.d2.loss_mask: 0.4370, decode.d2.loss_dice: 0.6891, decode.d3.loss_cls: 0.1836, decode.d3.loss_mask: 0.4352, decode.d3.loss_dice: 0.6732, decode.d4.loss_cls: 0.1789, decode.d4.loss_mask: 0.4341, decode.d4.loss_dice: 0.6773, decode.d5.loss_cls: 0.1701, decode.d5.loss_mask: 0.4339, decode.d5.loss_dice: 0.6771, decode.d6.loss_cls: 0.1750, decode.d6.loss_mask: 0.4321, decode.d6.loss_dice: 0.6719, decode.d7.loss_cls: 0.1694, decode.d7.loss_mask: 0.4317, decode.d7.loss_dice: 0.6730, decode.d8.loss_cls: 0.1642, decode.d8.loss_mask: 0.4308, decode.d8.loss_dice: 0.6768, loss: 13.9844, grad_norm: 45.0149 2023-11-12 14:50:37,876 - mmseg - INFO - Iter [115650/160000] lr: 2.772e-05, eta: 6:10:10, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1766, decode.loss_mask: 0.4287, decode.loss_dice: 0.6452, decode.d0.loss_cls: 1.1364, decode.d0.loss_mask: 0.4571, decode.d0.loss_dice: 0.6992, decode.d1.loss_cls: 0.2269, decode.d1.loss_mask: 0.4382, decode.d1.loss_dice: 0.6730, decode.d2.loss_cls: 0.2027, decode.d2.loss_mask: 0.4343, decode.d2.loss_dice: 0.6596, decode.d3.loss_cls: 0.1926, decode.d3.loss_mask: 0.4327, decode.d3.loss_dice: 0.6485, decode.d4.loss_cls: 0.1849, decode.d4.loss_mask: 0.4319, decode.d4.loss_dice: 0.6502, decode.d5.loss_cls: 0.1830, decode.d5.loss_mask: 0.4289, decode.d5.loss_dice: 0.6471, decode.d6.loss_cls: 0.1779, decode.d6.loss_mask: 0.4277, decode.d6.loss_dice: 0.6448, decode.d7.loss_cls: 0.1784, decode.d7.loss_mask: 0.4281, decode.d7.loss_dice: 0.6471, decode.d8.loss_cls: 0.1764, decode.d8.loss_mask: 0.4286, decode.d8.loss_dice: 0.6500, loss: 13.7367, grad_norm: 46.5602 2023-11-12 14:51:01,787 - mmseg - INFO - Iter [115700/160000] lr: 2.769e-05, eta: 6:09:45, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1650, decode.loss_mask: 0.4322, decode.loss_dice: 0.6473, decode.d0.loss_cls: 1.1341, decode.d0.loss_mask: 0.4674, decode.d0.loss_dice: 0.7007, decode.d1.loss_cls: 0.2315, decode.d1.loss_mask: 0.4433, decode.d1.loss_dice: 0.6801, decode.d2.loss_cls: 0.1932, decode.d2.loss_mask: 0.4384, decode.d2.loss_dice: 0.6628, decode.d3.loss_cls: 0.1795, decode.d3.loss_mask: 0.4340, decode.d3.loss_dice: 0.6556, decode.d4.loss_cls: 0.1701, decode.d4.loss_mask: 0.4318, decode.d4.loss_dice: 0.6531, decode.d5.loss_cls: 0.1691, decode.d5.loss_mask: 0.4312, decode.d5.loss_dice: 0.6516, decode.d6.loss_cls: 0.1686, decode.d6.loss_mask: 0.4329, decode.d6.loss_dice: 0.6519, decode.d7.loss_cls: 0.1625, decode.d7.loss_mask: 0.4329, decode.d7.loss_dice: 0.6512, decode.d8.loss_cls: 0.1616, decode.d8.loss_mask: 0.4313, decode.d8.loss_dice: 0.6519, loss: 13.7168, grad_norm: 45.9368 2023-11-12 14:51:25,637 - mmseg - INFO - Iter [115750/160000] lr: 2.766e-05, eta: 6:09:19, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1712, decode.loss_mask: 0.4302, decode.loss_dice: 0.6595, decode.d0.loss_cls: 1.1393, decode.d0.loss_mask: 0.4608, decode.d0.loss_dice: 0.7181, decode.d1.loss_cls: 0.2376, decode.d1.loss_mask: 0.4421, decode.d1.loss_dice: 0.6931, decode.d2.loss_cls: 0.2054, decode.d2.loss_mask: 0.4362, decode.d2.loss_dice: 0.6758, decode.d3.loss_cls: 0.1868, decode.d3.loss_mask: 0.4332, decode.d3.loss_dice: 0.6669, decode.d4.loss_cls: 0.1831, decode.d4.loss_mask: 0.4315, decode.d4.loss_dice: 0.6611, decode.d5.loss_cls: 0.1808, decode.d5.loss_mask: 0.4313, decode.d5.loss_dice: 0.6599, decode.d6.loss_cls: 0.1794, decode.d6.loss_mask: 0.4292, decode.d6.loss_dice: 0.6582, decode.d7.loss_cls: 0.1748, decode.d7.loss_mask: 0.4310, decode.d7.loss_dice: 0.6602, decode.d8.loss_cls: 0.1759, decode.d8.loss_mask: 0.4301, decode.d8.loss_dice: 0.6579, loss: 13.9007, grad_norm: 50.5923 2023-11-12 14:51:49,421 - mmseg - INFO - Iter [115800/160000] lr: 2.763e-05, eta: 6:08:54, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1560, decode.loss_mask: 0.4266, decode.loss_dice: 0.6432, decode.d0.loss_cls: 1.1205, decode.d0.loss_mask: 0.4586, decode.d0.loss_dice: 0.6964, decode.d1.loss_cls: 0.2164, decode.d1.loss_mask: 0.4401, decode.d1.loss_dice: 0.6700, decode.d2.loss_cls: 0.1840, decode.d2.loss_mask: 0.4325, decode.d2.loss_dice: 0.6555, decode.d3.loss_cls: 0.1740, decode.d3.loss_mask: 0.4281, decode.d3.loss_dice: 0.6445, decode.d4.loss_cls: 0.1683, decode.d4.loss_mask: 0.4282, decode.d4.loss_dice: 0.6441, decode.d5.loss_cls: 0.1641, decode.d5.loss_mask: 0.4278, decode.d5.loss_dice: 0.6417, decode.d6.loss_cls: 0.1660, decode.d6.loss_mask: 0.4280, decode.d6.loss_dice: 0.6416, decode.d7.loss_cls: 0.1613, decode.d7.loss_mask: 0.4274, decode.d7.loss_dice: 0.6430, decode.d8.loss_cls: 0.1600, decode.d8.loss_mask: 0.4262, decode.d8.loss_dice: 0.6423, loss: 13.5162, grad_norm: 43.5887 2023-11-12 14:52:13,426 - mmseg - INFO - Iter [115850/160000] lr: 2.759e-05, eta: 6:08:28, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1708, decode.loss_mask: 0.4297, decode.loss_dice: 0.6518, decode.d0.loss_cls: 1.1410, decode.d0.loss_mask: 0.4599, decode.d0.loss_dice: 0.7061, decode.d1.loss_cls: 0.2438, decode.d1.loss_mask: 0.4400, decode.d1.loss_dice: 0.6753, decode.d2.loss_cls: 0.2053, decode.d2.loss_mask: 0.4347, decode.d2.loss_dice: 0.6672, decode.d3.loss_cls: 0.1900, decode.d3.loss_mask: 0.4316, decode.d3.loss_dice: 0.6577, decode.d4.loss_cls: 0.1822, decode.d4.loss_mask: 0.4312, decode.d4.loss_dice: 0.6563, decode.d5.loss_cls: 0.1777, decode.d5.loss_mask: 0.4313, decode.d5.loss_dice: 0.6598, decode.d6.loss_cls: 0.1742, decode.d6.loss_mask: 0.4318, decode.d6.loss_dice: 0.6560, decode.d7.loss_cls: 0.1733, decode.d7.loss_mask: 0.4312, decode.d7.loss_dice: 0.6496, decode.d8.loss_cls: 0.1737, decode.d8.loss_mask: 0.4307, decode.d8.loss_dice: 0.6492, loss: 13.8129, grad_norm: 47.1056 2023-11-12 14:52:37,265 - mmseg - INFO - Iter [115900/160000] lr: 2.756e-05, eta: 6:08:03, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1705, decode.loss_mask: 0.4234, decode.loss_dice: 0.6450, decode.d0.loss_cls: 1.1772, decode.d0.loss_mask: 0.4538, decode.d0.loss_dice: 0.7058, decode.d1.loss_cls: 0.2350, decode.d1.loss_mask: 0.4365, decode.d1.loss_dice: 0.6698, decode.d2.loss_cls: 0.1989, decode.d2.loss_mask: 0.4330, decode.d2.loss_dice: 0.6615, decode.d3.loss_cls: 0.1922, decode.d3.loss_mask: 0.4275, decode.d3.loss_dice: 0.6521, decode.d4.loss_cls: 0.1813, decode.d4.loss_mask: 0.4264, decode.d4.loss_dice: 0.6525, decode.d5.loss_cls: 0.1803, decode.d5.loss_mask: 0.4230, decode.d5.loss_dice: 0.6467, decode.d6.loss_cls: 0.1754, decode.d6.loss_mask: 0.4248, decode.d6.loss_dice: 0.6461, decode.d7.loss_cls: 0.1733, decode.d7.loss_mask: 0.4238, decode.d7.loss_dice: 0.6461, decode.d8.loss_cls: 0.1764, decode.d8.loss_mask: 0.4228, decode.d8.loss_dice: 0.6474, loss: 13.7286, grad_norm: 47.4363 2023-11-12 14:53:01,215 - mmseg - INFO - Iter [115950/160000] lr: 2.753e-05, eta: 6:07:37, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1649, decode.loss_mask: 0.4311, decode.loss_dice: 0.6758, decode.d0.loss_cls: 1.1200, decode.d0.loss_mask: 0.4598, decode.d0.loss_dice: 0.7333, decode.d1.loss_cls: 0.2309, decode.d1.loss_mask: 0.4459, decode.d1.loss_dice: 0.7092, decode.d2.loss_cls: 0.2001, decode.d2.loss_mask: 0.4370, decode.d2.loss_dice: 0.6926, decode.d3.loss_cls: 0.1854, decode.d3.loss_mask: 0.4322, decode.d3.loss_dice: 0.6809, decode.d4.loss_cls: 0.1767, decode.d4.loss_mask: 0.4327, decode.d4.loss_dice: 0.6812, decode.d5.loss_cls: 0.1738, decode.d5.loss_mask: 0.4307, decode.d5.loss_dice: 0.6807, decode.d6.loss_cls: 0.1726, decode.d6.loss_mask: 0.4295, decode.d6.loss_dice: 0.6736, decode.d7.loss_cls: 0.1710, decode.d7.loss_mask: 0.4297, decode.d7.loss_dice: 0.6749, decode.d8.loss_cls: 0.1737, decode.d8.loss_mask: 0.4303, decode.d8.loss_dice: 0.6770, loss: 14.0071, grad_norm: 46.8326 2023-11-12 14:53:25,180 - mmseg - INFO - Saving checkpoint at 116000 iterations 2023-11-12 14:53:29,095 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 14:53:29,096 - mmseg - INFO - Iter [116000/160000] lr: 2.750e-05, eta: 6:07:13, time: 0.558, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1736, decode.loss_mask: 0.4214, decode.loss_dice: 0.6555, decode.d0.loss_cls: 1.1466, decode.d0.loss_mask: 0.4557, decode.d0.loss_dice: 0.7113, decode.d1.loss_cls: 0.2428, decode.d1.loss_mask: 0.4367, decode.d1.loss_dice: 0.6812, decode.d2.loss_cls: 0.2063, decode.d2.loss_mask: 0.4268, decode.d2.loss_dice: 0.6628, decode.d3.loss_cls: 0.1927, decode.d3.loss_mask: 0.4246, decode.d3.loss_dice: 0.6594, decode.d4.loss_cls: 0.1861, decode.d4.loss_mask: 0.4237, decode.d4.loss_dice: 0.6601, decode.d5.loss_cls: 0.1798, decode.d5.loss_mask: 0.4231, decode.d5.loss_dice: 0.6585, decode.d6.loss_cls: 0.1744, decode.d6.loss_mask: 0.4237, decode.d6.loss_dice: 0.6601, decode.d7.loss_cls: 0.1726, decode.d7.loss_mask: 0.4235, decode.d7.loss_dice: 0.6579, decode.d8.loss_cls: 0.1781, decode.d8.loss_mask: 0.4220, decode.d8.loss_dice: 0.6550, loss: 13.7961, grad_norm: 43.7280 2023-11-12 14:53:48,853 - mmseg - INFO - per class results: 2023-11-12 14:53:48,859 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.95 | 87.37 | | building | 82.35 | 91.76 | | sky | 94.96 | 97.49 | | floor | 83.71 | 90.27 | | tree | 74.72 | 86.31 | | ceiling | 84.61 | 90.58 | | road | 83.91 | 90.17 | | bed | 90.51 | 95.3 | | windowpane | 63.76 | 79.54 | | grass | 64.79 | 75.63 | | cabinet | 64.4 | 77.35 | | sidewalk | 66.79 | 82.94 | | person | 84.61 | 91.92 | | earth | 39.51 | 56.14 | | door | 52.72 | 66.58 | | table | 66.11 | 80.83 | | mountain | 66.3 | 79.21 | | plant | 53.97 | 70.35 | | curtain | 78.13 | 88.84 | | chair | 63.67 | 77.16 | | car | 86.53 | 92.36 | | water | 54.36 | 66.15 | | painting | 76.03 | 89.55 | | sofa | 71.41 | 83.89 | | shelf | 44.51 | 63.85 | | house | 46.36 | 77.85 | | sea | 76.45 | 90.35 | | mirror | 71.2 | 81.58 | | rug | 66.72 | 79.25 | | field | 31.21 | 53.1 | | armchair | 49.26 | 67.59 | | seat | 59.04 | 84.2 | | fence | 49.75 | 64.12 | | desk | 54.62 | 74.5 | | rock | 50.44 | 78.54 | | wardrobe | 47.29 | 67.2 | | lamp | 70.68 | 81.62 | | bathtub | 84.0 | 92.93 | | railing | 35.36 | 52.56 | | cushion | 65.28 | 75.19 | | base | 34.87 | 56.08 | | box | 30.46 | 41.04 | | column | 41.66 | 53.49 | | signboard | 37.49 | 55.1 | | chest of drawers | 44.94 | 66.34 | | counter | 33.06 | 43.38 | | sand | 35.11 | 47.76 | | sink | 76.05 | 82.29 | | skyscraper | 33.07 | 42.5 | | fireplace | 72.03 | 96.69 | | refrigerator | 74.72 | 83.75 | | grandstand | 50.02 | 76.85 | | path | 29.79 | 40.41 | | stairs | 35.08 | 47.13 | | runway | 69.76 | 92.39 | | case | 65.17 | 86.07 | | pool table | 95.16 | 97.67 | | pillow | 64.48 | 81.02 | | screen door | 75.05 | 90.71 | | stairway | 35.23 | 37.74 | | river | 16.23 | 45.21 | | bridge | 73.14 | 89.71 | | bookcase | 39.31 | 60.97 | | blind | 47.33 | 59.76 | | coffee table | 67.57 | 84.23 | | toilet | 85.2 | 93.7 | | flower | 46.6 | 58.4 | | book | 51.51 | 73.33 | | hill | 6.05 | 9.43 | | bench | 57.42 | 70.12 | | countertop | 47.72 | 72.08 | | stove | 84.58 | 88.62 | | palm | 56.03 | 71.87 | | kitchen island | 52.19 | 89.15 | | computer | 72.0 | 78.41 | | swivel chair | 43.33 | 61.39 | | boat | 49.26 | 54.66 | | bar | 31.68 | 34.6 | | arcade machine | 88.36 | 93.92 | | hovel | 24.86 | 41.55 | | bus | 93.9 | 96.25 | | towel | 63.73 | 82.28 | | light | 60.66 | 73.9 | | truck | 32.72 | 56.31 | | tower | 21.99 | 36.81 | | chandelier | 69.11 | 83.27 | | awning | 36.73 | 48.5 | | streetlight | 43.42 | 62.75 | | booth | 32.38 | 51.46 | | television receiver | 72.58 | 82.86 | | airplane | 64.45 | 74.93 | | dirt track | 9.87 | 34.86 | | apparel | 27.01 | 48.21 | | pole | 32.05 | 47.43 | | land | 4.55 | 8.87 | | bannister | 19.34 | 28.23 | | escalator | 19.21 | 24.14 | | ottoman | 56.19 | 75.4 | | bottle | 28.01 | 33.81 | | buffet | 43.56 | 54.91 | | poster | 21.67 | 28.07 | | stage | 22.8 | 33.68 | | van | 50.94 | 71.02 | | ship | 40.01 | 69.26 | | fountain | 17.53 | 21.91 | | conveyer belt | 67.67 | 95.77 | | canopy | 32.41 | 48.13 | | washer | 71.28 | 73.25 | | plaything | 43.35 | 61.78 | | swimming pool | 41.32 | 45.17 | | stool | 48.69 | 67.96 | | barrel | 90.5 | 97.11 | | basket | 38.59 | 47.68 | | waterfall | 64.09 | 94.1 | | tent | 94.13 | 98.4 | | bag | 19.8 | 24.66 | | minibike | 74.02 | 92.26 | | cradle | 76.16 | 97.69 | | oven | 24.67 | 68.5 | | ball | 47.17 | 56.97 | | food | 59.77 | 71.12 | | step | 19.16 | 28.04 | | tank | 42.16 | 66.18 | | trade name | 24.97 | 29.62 | | microwave | 40.42 | 44.21 | | pot | 49.22 | 56.99 | | animal | 54.46 | 55.57 | | bicycle | 56.26 | 78.83 | | lake | 38.23 | 63.62 | | dishwasher | 73.05 | 77.89 | | screen | 63.34 | 87.55 | | blanket | 30.32 | 38.75 | | sculpture | 65.83 | 85.97 | | hood | 76.97 | 93.46 | | sconce | 54.58 | 71.05 | | vase | 48.9 | 67.17 | | traffic light | 43.15 | 67.02 | | tray | 16.1 | 32.13 | | ashcan | 55.88 | 71.32 | | fan | 72.35 | 85.5 | | pier | 33.29 | 45.15 | | crt screen | 1.15 | 3.33 | | plate | 60.22 | 74.94 | | monitor | 9.97 | 13.89 | | bulletin board | 52.75 | 74.28 | | shower | 5.21 | 24.48 | | radiator | 71.93 | 87.32 | | glass | 22.44 | 24.6 | | clock | 57.77 | 68.88 | | flag | 35.33 | 38.88 | +---------------------+-------+-------+ 2023-11-12 14:53:48,859 - mmseg - INFO - Summary: 2023-11-12 14:53:48,859 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 84.0 | 52.37 | 66.32 | +------+-------+-------+ 2023-11-12 14:53:48,859 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 14:53:48,860 - mmseg - INFO - Iter(val) [250] aAcc: 0.8400, mIoU: 0.5237, mAcc: 0.6632, IoU.wall: 0.7895, IoU.building: 0.8235, IoU.sky: 0.9496, IoU.floor: 0.8371, IoU.tree: 0.7472, IoU.ceiling: 0.8461, IoU.road: 0.8391, IoU.bed : 0.9051, IoU.windowpane: 0.6376, IoU.grass: 0.6479, IoU.cabinet: 0.6440, IoU.sidewalk: 0.6679, IoU.person: 0.8461, IoU.earth: 0.3951, IoU.door: 0.5272, IoU.table: 0.6611, IoU.mountain: 0.6630, IoU.plant: 0.5397, IoU.curtain: 0.7813, IoU.chair: 0.6367, IoU.car: 0.8653, IoU.water: 0.5436, IoU.painting: 0.7603, IoU.sofa: 0.7141, IoU.shelf: 0.4451, IoU.house: 0.4636, IoU.sea: 0.7645, IoU.mirror: 0.7120, IoU.rug: 0.6672, IoU.field: 0.3121, IoU.armchair: 0.4926, IoU.seat: 0.5904, IoU.fence: 0.4975, IoU.desk: 0.5462, IoU.rock: 0.5044, IoU.wardrobe: 0.4729, IoU.lamp: 0.7068, IoU.bathtub: 0.8400, IoU.railing: 0.3536, IoU.cushion: 0.6528, IoU.base: 0.3487, IoU.box: 0.3046, IoU.column: 0.4166, IoU.signboard: 0.3749, IoU.chest of drawers: 0.4494, IoU.counter: 0.3306, IoU.sand: 0.3511, IoU.sink: 0.7605, IoU.skyscraper: 0.3307, IoU.fireplace: 0.7203, IoU.refrigerator: 0.7472, IoU.grandstand: 0.5002, IoU.path: 0.2979, IoU.stairs: 0.3508, IoU.runway: 0.6976, IoU.case: 0.6517, IoU.pool table: 0.9516, IoU.pillow: 0.6448, IoU.screen door: 0.7505, IoU.stairway: 0.3523, IoU.river: 0.1623, IoU.bridge: 0.7314, IoU.bookcase: 0.3931, IoU.blind: 0.4733, IoU.coffee table: 0.6757, IoU.toilet: 0.8520, IoU.flower: 0.4660, IoU.book: 0.5151, IoU.hill: 0.0605, IoU.bench: 0.5742, IoU.countertop: 0.4772, IoU.stove: 0.8458, IoU.palm: 0.5603, IoU.kitchen island: 0.5219, IoU.computer: 0.7200, IoU.swivel chair: 0.4333, IoU.boat: 0.4926, IoU.bar: 0.3168, IoU.arcade machine: 0.8836, IoU.hovel: 0.2486, IoU.bus: 0.9390, IoU.towel: 0.6373, IoU.light: 0.6066, IoU.truck: 0.3272, IoU.tower: 0.2199, IoU.chandelier: 0.6911, IoU.awning: 0.3673, IoU.streetlight: 0.4342, IoU.booth: 0.3238, IoU.television receiver: 0.7258, IoU.airplane: 0.6445, IoU.dirt track: 0.0987, IoU.apparel: 0.2701, IoU.pole: 0.3205, IoU.land: 0.0455, IoU.bannister: 0.1934, IoU.escalator: 0.1921, IoU.ottoman: 0.5619, IoU.bottle: 0.2801, IoU.buffet: 0.4356, IoU.poster: 0.2167, IoU.stage: 0.2280, IoU.van: 0.5094, IoU.ship: 0.4001, IoU.fountain: 0.1753, IoU.conveyer belt: 0.6767, IoU.canopy: 0.3241, IoU.washer: 0.7128, IoU.plaything: 0.4335, IoU.swimming pool: 0.4132, IoU.stool: 0.4869, IoU.barrel: 0.9050, IoU.basket: 0.3859, IoU.waterfall: 0.6409, IoU.tent: 0.9413, IoU.bag: 0.1980, IoU.minibike: 0.7402, IoU.cradle: 0.7616, IoU.oven: 0.2467, IoU.ball: 0.4717, IoU.food: 0.5977, IoU.step: 0.1916, IoU.tank: 0.4216, IoU.trade name: 0.2497, IoU.microwave: 0.4042, IoU.pot: 0.4922, IoU.animal: 0.5446, IoU.bicycle: 0.5626, IoU.lake: 0.3823, IoU.dishwasher: 0.7305, IoU.screen: 0.6334, IoU.blanket: 0.3032, IoU.sculpture: 0.6583, IoU.hood: 0.7697, IoU.sconce: 0.5458, IoU.vase: 0.4890, IoU.traffic light: 0.4315, IoU.tray: 0.1610, IoU.ashcan: 0.5588, IoU.fan: 0.7235, IoU.pier: 0.3329, IoU.crt screen: 0.0115, IoU.plate: 0.6022, IoU.monitor: 0.0997, IoU.bulletin board: 0.5275, IoU.shower: 0.0521, IoU.radiator: 0.7193, IoU.glass: 0.2244, IoU.clock: 0.5777, IoU.flag: 0.3533, Acc.wall: 0.8737, Acc.building: 0.9176, Acc.sky: 0.9749, Acc.floor: 0.9027, Acc.tree: 0.8631, Acc.ceiling: 0.9058, Acc.road: 0.9017, Acc.bed : 0.9530, Acc.windowpane: 0.7954, Acc.grass: 0.7563, Acc.cabinet: 0.7735, Acc.sidewalk: 0.8294, Acc.person: 0.9192, Acc.earth: 0.5614, Acc.door: 0.6658, Acc.table: 0.8083, Acc.mountain: 0.7921, Acc.plant: 0.7035, Acc.curtain: 0.8884, Acc.chair: 0.7716, Acc.car: 0.9236, Acc.water: 0.6615, Acc.painting: 0.8955, Acc.sofa: 0.8389, Acc.shelf: 0.6385, Acc.house: 0.7785, Acc.sea: 0.9035, Acc.mirror: 0.8158, Acc.rug: 0.7925, Acc.field: 0.5310, Acc.armchair: 0.6759, Acc.seat: 0.8420, Acc.fence: 0.6412, Acc.desk: 0.7450, Acc.rock: 0.7854, Acc.wardrobe: 0.6720, Acc.lamp: 0.8162, Acc.bathtub: 0.9293, Acc.railing: 0.5256, Acc.cushion: 0.7519, Acc.base: 0.5608, Acc.box: 0.4104, Acc.column: 0.5349, Acc.signboard: 0.5510, Acc.chest of drawers: 0.6634, Acc.counter: 0.4338, Acc.sand: 0.4776, Acc.sink: 0.8229, Acc.skyscraper: 0.4250, Acc.fireplace: 0.9669, Acc.refrigerator: 0.8375, Acc.grandstand: 0.7685, Acc.path: 0.4041, Acc.stairs: 0.4713, Acc.runway: 0.9239, Acc.case: 0.8607, Acc.pool table: 0.9767, Acc.pillow: 0.8102, Acc.screen door: 0.9071, Acc.stairway: 0.3774, Acc.river: 0.4521, Acc.bridge: 0.8971, Acc.bookcase: 0.6097, Acc.blind: 0.5976, Acc.coffee table: 0.8423, Acc.toilet: 0.9370, Acc.flower: 0.5840, Acc.book: 0.7333, Acc.hill: 0.0943, Acc.bench: 0.7012, Acc.countertop: 0.7208, Acc.stove: 0.8862, Acc.palm: 0.7187, Acc.kitchen island: 0.8915, Acc.computer: 0.7841, Acc.swivel chair: 0.6139, Acc.boat: 0.5466, Acc.bar: 0.3460, Acc.arcade machine: 0.9392, Acc.hovel: 0.4155, Acc.bus: 0.9625, Acc.towel: 0.8228, Acc.light: 0.7390, Acc.truck: 0.5631, Acc.tower: 0.3681, Acc.chandelier: 0.8327, Acc.awning: 0.4850, Acc.streetlight: 0.6275, Acc.booth: 0.5146, Acc.television receiver: 0.8286, Acc.airplane: 0.7493, Acc.dirt track: 0.3486, Acc.apparel: 0.4821, Acc.pole: 0.4743, Acc.land: 0.0887, Acc.bannister: 0.2823, Acc.escalator: 0.2414, Acc.ottoman: 0.7540, Acc.bottle: 0.3381, Acc.buffet: 0.5491, Acc.poster: 0.2807, Acc.stage: 0.3368, Acc.van: 0.7102, Acc.ship: 0.6926, Acc.fountain: 0.2191, Acc.conveyer belt: 0.9577, Acc.canopy: 0.4813, Acc.washer: 0.7325, Acc.plaything: 0.6178, Acc.swimming pool: 0.4517, Acc.stool: 0.6796, Acc.barrel: 0.9711, Acc.basket: 0.4768, Acc.waterfall: 0.9410, Acc.tent: 0.9840, Acc.bag: 0.2466, Acc.minibike: 0.9226, Acc.cradle: 0.9769, Acc.oven: 0.6850, Acc.ball: 0.5697, Acc.food: 0.7112, Acc.step: 0.2804, Acc.tank: 0.6618, Acc.trade name: 0.2962, Acc.microwave: 0.4421, Acc.pot: 0.5699, Acc.animal: 0.5557, Acc.bicycle: 0.7883, Acc.lake: 0.6362, Acc.dishwasher: 0.7789, Acc.screen: 0.8755, Acc.blanket: 0.3875, Acc.sculpture: 0.8597, Acc.hood: 0.9346, Acc.sconce: 0.7105, Acc.vase: 0.6717, Acc.traffic light: 0.6702, Acc.tray: 0.3213, Acc.ashcan: 0.7132, Acc.fan: 0.8550, Acc.pier: 0.4515, Acc.crt screen: 0.0333, Acc.plate: 0.7494, Acc.monitor: 0.1389, Acc.bulletin board: 0.7428, Acc.shower: 0.2448, Acc.radiator: 0.8732, Acc.glass: 0.2460, Acc.clock: 0.6888, Acc.flag: 0.3888 2023-11-12 14:54:12,799 - mmseg - INFO - Iter [116050/160000] lr: 2.747e-05, eta: 6:06:56, time: 0.874, data_time: 0.408, memory: 41146, decode.loss_cls: 0.1660, decode.loss_mask: 0.4177, decode.loss_dice: 0.6681, decode.d0.loss_cls: 1.1517, decode.d0.loss_mask: 0.4468, decode.d0.loss_dice: 0.7229, decode.d1.loss_cls: 0.2292, decode.d1.loss_mask: 0.4305, decode.d1.loss_dice: 0.7005, decode.d2.loss_cls: 0.1949, decode.d2.loss_mask: 0.4248, decode.d2.loss_dice: 0.6838, decode.d3.loss_cls: 0.1864, decode.d3.loss_mask: 0.4221, decode.d3.loss_dice: 0.6691, decode.d4.loss_cls: 0.1775, decode.d4.loss_mask: 0.4202, decode.d4.loss_dice: 0.6742, decode.d5.loss_cls: 0.1762, decode.d5.loss_mask: 0.4185, decode.d5.loss_dice: 0.6697, decode.d6.loss_cls: 0.1732, decode.d6.loss_mask: 0.4184, decode.d6.loss_dice: 0.6623, decode.d7.loss_cls: 0.1665, decode.d7.loss_mask: 0.4180, decode.d7.loss_dice: 0.6709, decode.d8.loss_cls: 0.1678, decode.d8.loss_mask: 0.4179, decode.d8.loss_dice: 0.6669, loss: 13.8127, grad_norm: 45.8531 2023-11-12 14:54:36,708 - mmseg - INFO - Iter [116100/160000] lr: 2.744e-05, eta: 6:06:30, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1697, decode.loss_mask: 0.4414, decode.loss_dice: 0.6553, decode.d0.loss_cls: 1.1329, decode.d0.loss_mask: 0.4771, decode.d0.loss_dice: 0.7141, decode.d1.loss_cls: 0.2359, decode.d1.loss_mask: 0.4560, decode.d1.loss_dice: 0.6838, decode.d2.loss_cls: 0.1986, decode.d2.loss_mask: 0.4479, decode.d2.loss_dice: 0.6656, decode.d3.loss_cls: 0.1903, decode.d3.loss_mask: 0.4435, decode.d3.loss_dice: 0.6591, decode.d4.loss_cls: 0.1804, decode.d4.loss_mask: 0.4436, decode.d4.loss_dice: 0.6565, decode.d5.loss_cls: 0.1707, decode.d5.loss_mask: 0.4430, decode.d5.loss_dice: 0.6566, decode.d6.loss_cls: 0.1751, decode.d6.loss_mask: 0.4422, decode.d6.loss_dice: 0.6554, decode.d7.loss_cls: 0.1685, decode.d7.loss_mask: 0.4417, decode.d7.loss_dice: 0.6545, decode.d8.loss_cls: 0.1689, decode.d8.loss_mask: 0.4416, decode.d8.loss_dice: 0.6556, loss: 13.9256, grad_norm: 44.6411 2023-11-12 14:55:00,359 - mmseg - INFO - Iter [116150/160000] lr: 2.741e-05, eta: 6:06:04, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1757, decode.loss_mask: 0.4373, decode.loss_dice: 0.6621, decode.d0.loss_cls: 1.1407, decode.d0.loss_mask: 0.4708, decode.d0.loss_dice: 0.7233, decode.d1.loss_cls: 0.2346, decode.d1.loss_mask: 0.4526, decode.d1.loss_dice: 0.6962, decode.d2.loss_cls: 0.2040, decode.d2.loss_mask: 0.4440, decode.d2.loss_dice: 0.6783, decode.d3.loss_cls: 0.1881, decode.d3.loss_mask: 0.4415, decode.d3.loss_dice: 0.6667, decode.d4.loss_cls: 0.1816, decode.d4.loss_mask: 0.4409, decode.d4.loss_dice: 0.6655, decode.d5.loss_cls: 0.1802, decode.d5.loss_mask: 0.4408, decode.d5.loss_dice: 0.6654, decode.d6.loss_cls: 0.1829, decode.d6.loss_mask: 0.4392, decode.d6.loss_dice: 0.6632, decode.d7.loss_cls: 0.1801, decode.d7.loss_mask: 0.4367, decode.d7.loss_dice: 0.6588, decode.d8.loss_cls: 0.1808, decode.d8.loss_mask: 0.4370, decode.d8.loss_dice: 0.6605, loss: 14.0292, grad_norm: 45.2689 2023-11-12 14:55:26,391 - mmseg - INFO - Iter [116200/160000] lr: 2.738e-05, eta: 6:05:40, time: 0.521, data_time: 0.058, memory: 41146, decode.loss_cls: 0.1468, decode.loss_mask: 0.4219, decode.loss_dice: 0.6161, decode.d0.loss_cls: 1.1126, decode.d0.loss_mask: 0.4518, decode.d0.loss_dice: 0.6677, decode.d1.loss_cls: 0.2077, decode.d1.loss_mask: 0.4336, decode.d1.loss_dice: 0.6450, decode.d2.loss_cls: 0.1802, decode.d2.loss_mask: 0.4260, decode.d2.loss_dice: 0.6284, decode.d3.loss_cls: 0.1647, decode.d3.loss_mask: 0.4229, decode.d3.loss_dice: 0.6199, decode.d4.loss_cls: 0.1593, decode.d4.loss_mask: 0.4224, decode.d4.loss_dice: 0.6213, decode.d5.loss_cls: 0.1540, decode.d5.loss_mask: 0.4209, decode.d5.loss_dice: 0.6192, decode.d6.loss_cls: 0.1490, decode.d6.loss_mask: 0.4231, decode.d6.loss_dice: 0.6183, decode.d7.loss_cls: 0.1469, decode.d7.loss_mask: 0.4231, decode.d7.loss_dice: 0.6167, decode.d8.loss_cls: 0.1497, decode.d8.loss_mask: 0.4225, decode.d8.loss_dice: 0.6169, loss: 13.1087, grad_norm: 48.0654 2023-11-12 14:55:50,296 - mmseg - INFO - Iter [116250/160000] lr: 2.734e-05, eta: 6:05:14, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1626, decode.loss_mask: 0.4073, decode.loss_dice: 0.6341, decode.d0.loss_cls: 1.1339, decode.d0.loss_mask: 0.4386, decode.d0.loss_dice: 0.6831, decode.d1.loss_cls: 0.2154, decode.d1.loss_mask: 0.4200, decode.d1.loss_dice: 0.6606, decode.d2.loss_cls: 0.1807, decode.d2.loss_mask: 0.4142, decode.d2.loss_dice: 0.6485, decode.d3.loss_cls: 0.1699, decode.d3.loss_mask: 0.4103, decode.d3.loss_dice: 0.6409, decode.d4.loss_cls: 0.1720, decode.d4.loss_mask: 0.4102, decode.d4.loss_dice: 0.6370, decode.d5.loss_cls: 0.1690, decode.d5.loss_mask: 0.4098, decode.d5.loss_dice: 0.6401, decode.d6.loss_cls: 0.1632, decode.d6.loss_mask: 0.4103, decode.d6.loss_dice: 0.6346, decode.d7.loss_cls: 0.1626, decode.d7.loss_mask: 0.4088, decode.d7.loss_dice: 0.6349, decode.d8.loss_cls: 0.1594, decode.d8.loss_mask: 0.4092, decode.d8.loss_dice: 0.6347, loss: 13.2759, grad_norm: 43.8306 2023-11-12 14:56:14,177 - mmseg - INFO - Iter [116300/160000] lr: 2.731e-05, eta: 6:04:49, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1781, decode.loss_mask: 0.4318, decode.loss_dice: 0.6477, decode.d0.loss_cls: 1.1366, decode.d0.loss_mask: 0.4647, decode.d0.loss_dice: 0.7074, decode.d1.loss_cls: 0.2376, decode.d1.loss_mask: 0.4442, decode.d1.loss_dice: 0.6838, decode.d2.loss_cls: 0.2055, decode.d2.loss_mask: 0.4365, decode.d2.loss_dice: 0.6647, decode.d3.loss_cls: 0.1980, decode.d3.loss_mask: 0.4334, decode.d3.loss_dice: 0.6526, decode.d4.loss_cls: 0.1880, decode.d4.loss_mask: 0.4329, decode.d4.loss_dice: 0.6549, decode.d5.loss_cls: 0.1837, decode.d5.loss_mask: 0.4327, decode.d5.loss_dice: 0.6543, decode.d6.loss_cls: 0.1805, decode.d6.loss_mask: 0.4317, decode.d6.loss_dice: 0.6491, decode.d7.loss_cls: 0.1784, decode.d7.loss_mask: 0.4317, decode.d7.loss_dice: 0.6505, decode.d8.loss_cls: 0.1801, decode.d8.loss_mask: 0.4308, decode.d8.loss_dice: 0.6478, loss: 13.8499, grad_norm: 49.8204 2023-11-12 14:56:38,313 - mmseg - INFO - Iter [116350/160000] lr: 2.728e-05, eta: 6:04:23, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1615, decode.loss_mask: 0.4332, decode.loss_dice: 0.6736, decode.d0.loss_cls: 1.1195, decode.d0.loss_mask: 0.4644, decode.d0.loss_dice: 0.7254, decode.d1.loss_cls: 0.2181, decode.d1.loss_mask: 0.4435, decode.d1.loss_dice: 0.7008, decode.d2.loss_cls: 0.1957, decode.d2.loss_mask: 0.4377, decode.d2.loss_dice: 0.6817, decode.d3.loss_cls: 0.1818, decode.d3.loss_mask: 0.4334, decode.d3.loss_dice: 0.6733, decode.d4.loss_cls: 0.1744, decode.d4.loss_mask: 0.4339, decode.d4.loss_dice: 0.6720, decode.d5.loss_cls: 0.1691, decode.d5.loss_mask: 0.4342, decode.d5.loss_dice: 0.6739, decode.d6.loss_cls: 0.1650, decode.d6.loss_mask: 0.4337, decode.d6.loss_dice: 0.6687, decode.d7.loss_cls: 0.1648, decode.d7.loss_mask: 0.4328, decode.d7.loss_dice: 0.6689, decode.d8.loss_cls: 0.1636, decode.d8.loss_mask: 0.4325, decode.d8.loss_dice: 0.6727, loss: 13.9039, grad_norm: 47.1289 2023-11-12 14:57:02,198 - mmseg - INFO - Iter [116400/160000] lr: 2.725e-05, eta: 6:03:58, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1546, decode.loss_mask: 0.4381, decode.loss_dice: 0.6486, decode.d0.loss_cls: 1.0908, decode.d0.loss_mask: 0.4700, decode.d0.loss_dice: 0.7044, decode.d1.loss_cls: 0.2175, decode.d1.loss_mask: 0.4482, decode.d1.loss_dice: 0.6830, decode.d2.loss_cls: 0.1826, decode.d2.loss_mask: 0.4411, decode.d2.loss_dice: 0.6594, decode.d3.loss_cls: 0.1678, decode.d3.loss_mask: 0.4382, decode.d3.loss_dice: 0.6540, decode.d4.loss_cls: 0.1660, decode.d4.loss_mask: 0.4366, decode.d4.loss_dice: 0.6492, decode.d5.loss_cls: 0.1608, decode.d5.loss_mask: 0.4376, decode.d5.loss_dice: 0.6526, decode.d6.loss_cls: 0.1588, decode.d6.loss_mask: 0.4369, decode.d6.loss_dice: 0.6493, decode.d7.loss_cls: 0.1562, decode.d7.loss_mask: 0.4366, decode.d7.loss_dice: 0.6489, decode.d8.loss_cls: 0.1558, decode.d8.loss_mask: 0.4374, decode.d8.loss_dice: 0.6517, loss: 13.6327, grad_norm: 42.7418 2023-11-12 14:57:26,057 - mmseg - INFO - Iter [116450/160000] lr: 2.722e-05, eta: 6:03:32, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1497, decode.loss_mask: 0.4304, decode.loss_dice: 0.6478, decode.d0.loss_cls: 1.0992, decode.d0.loss_mask: 0.4593, decode.d0.loss_dice: 0.6981, decode.d1.loss_cls: 0.1984, decode.d1.loss_mask: 0.4432, decode.d1.loss_dice: 0.6754, decode.d2.loss_cls: 0.1834, decode.d2.loss_mask: 0.4360, decode.d2.loss_dice: 0.6596, decode.d3.loss_cls: 0.1671, decode.d3.loss_mask: 0.4339, decode.d3.loss_dice: 0.6518, decode.d4.loss_cls: 0.1587, decode.d4.loss_mask: 0.4319, decode.d4.loss_dice: 0.6481, decode.d5.loss_cls: 0.1589, decode.d5.loss_mask: 0.4317, decode.d5.loss_dice: 0.6479, decode.d6.loss_cls: 0.1586, decode.d6.loss_mask: 0.4308, decode.d6.loss_dice: 0.6458, decode.d7.loss_cls: 0.1553, decode.d7.loss_mask: 0.4302, decode.d7.loss_dice: 0.6483, decode.d8.loss_cls: 0.1521, decode.d8.loss_mask: 0.4306, decode.d8.loss_dice: 0.6480, loss: 13.5102, grad_norm: 46.9795 2023-11-12 14:57:49,929 - mmseg - INFO - Iter [116500/160000] lr: 2.719e-05, eta: 6:03:07, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1726, decode.loss_mask: 0.4391, decode.loss_dice: 0.6691, decode.d0.loss_cls: 1.1316, decode.d0.loss_mask: 0.4726, decode.d0.loss_dice: 0.7234, decode.d1.loss_cls: 0.2354, decode.d1.loss_mask: 0.4538, decode.d1.loss_dice: 0.6964, decode.d2.loss_cls: 0.1982, decode.d2.loss_mask: 0.4447, decode.d2.loss_dice: 0.6853, decode.d3.loss_cls: 0.1859, decode.d3.loss_mask: 0.4417, decode.d3.loss_dice: 0.6728, decode.d4.loss_cls: 0.1811, decode.d4.loss_mask: 0.4423, decode.d4.loss_dice: 0.6684, decode.d5.loss_cls: 0.1735, decode.d5.loss_mask: 0.4414, decode.d5.loss_dice: 0.6733, decode.d6.loss_cls: 0.1758, decode.d6.loss_mask: 0.4401, decode.d6.loss_dice: 0.6651, decode.d7.loss_cls: 0.1716, decode.d7.loss_mask: 0.4385, decode.d7.loss_dice: 0.6654, decode.d8.loss_cls: 0.1713, decode.d8.loss_mask: 0.4392, decode.d8.loss_dice: 0.6715, loss: 14.0413, grad_norm: 46.6088 2023-11-12 14:58:13,688 - mmseg - INFO - Iter [116550/160000] lr: 2.716e-05, eta: 6:02:41, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1633, decode.loss_mask: 0.4385, decode.loss_dice: 0.6625, decode.d0.loss_cls: 1.1135, decode.d0.loss_mask: 0.4689, decode.d0.loss_dice: 0.7186, decode.d1.loss_cls: 0.2217, decode.d1.loss_mask: 0.4529, decode.d1.loss_dice: 0.6889, decode.d2.loss_cls: 0.1884, decode.d2.loss_mask: 0.4464, decode.d2.loss_dice: 0.6803, decode.d3.loss_cls: 0.1766, decode.d3.loss_mask: 0.4409, decode.d3.loss_dice: 0.6717, decode.d4.loss_cls: 0.1678, decode.d4.loss_mask: 0.4399, decode.d4.loss_dice: 0.6674, decode.d5.loss_cls: 0.1647, decode.d5.loss_mask: 0.4390, decode.d5.loss_dice: 0.6676, decode.d6.loss_cls: 0.1695, decode.d6.loss_mask: 0.4386, decode.d6.loss_dice: 0.6615, decode.d7.loss_cls: 0.1606, decode.d7.loss_mask: 0.4382, decode.d7.loss_dice: 0.6664, decode.d8.loss_cls: 0.1617, decode.d8.loss_mask: 0.4382, decode.d8.loss_dice: 0.6644, loss: 13.8785, grad_norm: 44.9010 2023-11-12 14:58:37,558 - mmseg - INFO - Iter [116600/160000] lr: 2.713e-05, eta: 6:02:16, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1663, decode.loss_mask: 0.4273, decode.loss_dice: 0.6428, decode.d0.loss_cls: 1.1115, decode.d0.loss_mask: 0.4610, decode.d0.loss_dice: 0.6953, decode.d1.loss_cls: 0.2322, decode.d1.loss_mask: 0.4375, decode.d1.loss_dice: 0.6697, decode.d2.loss_cls: 0.1981, decode.d2.loss_mask: 0.4320, decode.d2.loss_dice: 0.6572, decode.d3.loss_cls: 0.1840, decode.d3.loss_mask: 0.4291, decode.d3.loss_dice: 0.6442, decode.d4.loss_cls: 0.1789, decode.d4.loss_mask: 0.4285, decode.d4.loss_dice: 0.6409, decode.d5.loss_cls: 0.1725, decode.d5.loss_mask: 0.4289, decode.d5.loss_dice: 0.6443, decode.d6.loss_cls: 0.1747, decode.d6.loss_mask: 0.4277, decode.d6.loss_dice: 0.6456, decode.d7.loss_cls: 0.1643, decode.d7.loss_mask: 0.4282, decode.d7.loss_dice: 0.6473, decode.d8.loss_cls: 0.1652, decode.d8.loss_mask: 0.4278, decode.d8.loss_dice: 0.6434, loss: 13.6064, grad_norm: 45.3936 2023-11-12 14:59:01,357 - mmseg - INFO - Iter [116650/160000] lr: 2.709e-05, eta: 6:01:50, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1648, decode.loss_mask: 0.4292, decode.loss_dice: 0.6641, decode.d0.loss_cls: 1.1397, decode.d0.loss_mask: 0.4580, decode.d0.loss_dice: 0.7132, decode.d1.loss_cls: 0.2209, decode.d1.loss_mask: 0.4438, decode.d1.loss_dice: 0.6921, decode.d2.loss_cls: 0.2001, decode.d2.loss_mask: 0.4354, decode.d2.loss_dice: 0.6734, decode.d3.loss_cls: 0.1827, decode.d3.loss_mask: 0.4341, decode.d3.loss_dice: 0.6652, decode.d4.loss_cls: 0.1761, decode.d4.loss_mask: 0.4328, decode.d4.loss_dice: 0.6680, decode.d5.loss_cls: 0.1712, decode.d5.loss_mask: 0.4307, decode.d5.loss_dice: 0.6649, decode.d6.loss_cls: 0.1751, decode.d6.loss_mask: 0.4285, decode.d6.loss_dice: 0.6647, decode.d7.loss_cls: 0.1709, decode.d7.loss_mask: 0.4297, decode.d7.loss_dice: 0.6628, decode.d8.loss_cls: 0.1649, decode.d8.loss_mask: 0.4295, decode.d8.loss_dice: 0.6662, loss: 13.8527, grad_norm: 45.5026 2023-11-12 14:59:25,233 - mmseg - INFO - Iter [116700/160000] lr: 2.706e-05, eta: 6:01:25, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1644, decode.loss_mask: 0.4186, decode.loss_dice: 0.6453, decode.d0.loss_cls: 1.1194, decode.d0.loss_mask: 0.4536, decode.d0.loss_dice: 0.7001, decode.d1.loss_cls: 0.2211, decode.d1.loss_mask: 0.4335, decode.d1.loss_dice: 0.6708, decode.d2.loss_cls: 0.1922, decode.d2.loss_mask: 0.4242, decode.d2.loss_dice: 0.6600, decode.d3.loss_cls: 0.1809, decode.d3.loss_mask: 0.4203, decode.d3.loss_dice: 0.6513, decode.d4.loss_cls: 0.1744, decode.d4.loss_mask: 0.4185, decode.d4.loss_dice: 0.6463, decode.d5.loss_cls: 0.1712, decode.d5.loss_mask: 0.4177, decode.d5.loss_dice: 0.6479, decode.d6.loss_cls: 0.1705, decode.d6.loss_mask: 0.4172, decode.d6.loss_dice: 0.6430, decode.d7.loss_cls: 0.1663, decode.d7.loss_mask: 0.4179, decode.d7.loss_dice: 0.6439, decode.d8.loss_cls: 0.1645, decode.d8.loss_mask: 0.4185, decode.d8.loss_dice: 0.6485, loss: 13.5218, grad_norm: 52.4662 2023-11-12 14:59:49,066 - mmseg - INFO - Iter [116750/160000] lr: 2.703e-05, eta: 6:01:00, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1665, decode.loss_mask: 0.4243, decode.loss_dice: 0.6465, decode.d0.loss_cls: 1.1506, decode.d0.loss_mask: 0.4565, decode.d0.loss_dice: 0.7069, decode.d1.loss_cls: 0.2236, decode.d1.loss_mask: 0.4344, decode.d1.loss_dice: 0.6773, decode.d2.loss_cls: 0.1898, decode.d2.loss_mask: 0.4290, decode.d2.loss_dice: 0.6638, decode.d3.loss_cls: 0.1791, decode.d3.loss_mask: 0.4268, decode.d3.loss_dice: 0.6522, decode.d4.loss_cls: 0.1710, decode.d4.loss_mask: 0.4254, decode.d4.loss_dice: 0.6530, decode.d5.loss_cls: 0.1706, decode.d5.loss_mask: 0.4253, decode.d5.loss_dice: 0.6500, decode.d6.loss_cls: 0.1672, decode.d6.loss_mask: 0.4250, decode.d6.loss_dice: 0.6514, decode.d7.loss_cls: 0.1645, decode.d7.loss_mask: 0.4248, decode.d7.loss_dice: 0.6464, decode.d8.loss_cls: 0.1672, decode.d8.loss_mask: 0.4243, decode.d8.loss_dice: 0.6502, loss: 13.6439, grad_norm: 44.5650 2023-11-12 15:00:13,156 - mmseg - INFO - Iter [116800/160000] lr: 2.700e-05, eta: 6:00:34, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1485, decode.loss_mask: 0.4246, decode.loss_dice: 0.6582, decode.d0.loss_cls: 1.1269, decode.d0.loss_mask: 0.4583, decode.d0.loss_dice: 0.7159, decode.d1.loss_cls: 0.2104, decode.d1.loss_mask: 0.4372, decode.d1.loss_dice: 0.6858, decode.d2.loss_cls: 0.1799, decode.d2.loss_mask: 0.4300, decode.d2.loss_dice: 0.6680, decode.d3.loss_cls: 0.1668, decode.d3.loss_mask: 0.4273, decode.d3.loss_dice: 0.6610, decode.d4.loss_cls: 0.1560, decode.d4.loss_mask: 0.4259, decode.d4.loss_dice: 0.6626, decode.d5.loss_cls: 0.1546, decode.d5.loss_mask: 0.4244, decode.d5.loss_dice: 0.6541, decode.d6.loss_cls: 0.1580, decode.d6.loss_mask: 0.4256, decode.d6.loss_dice: 0.6566, decode.d7.loss_cls: 0.1525, decode.d7.loss_mask: 0.4248, decode.d7.loss_dice: 0.6567, decode.d8.loss_cls: 0.1508, decode.d8.loss_mask: 0.4242, decode.d8.loss_dice: 0.6562, loss: 13.5817, grad_norm: 46.2511 2023-11-12 15:00:37,062 - mmseg - INFO - Iter [116850/160000] lr: 2.697e-05, eta: 6:00:09, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1665, decode.loss_mask: 0.4088, decode.loss_dice: 0.6376, decode.d0.loss_cls: 1.1290, decode.d0.loss_mask: 0.4389, decode.d0.loss_dice: 0.6958, decode.d1.loss_cls: 0.2272, decode.d1.loss_mask: 0.4214, decode.d1.loss_dice: 0.6735, decode.d2.loss_cls: 0.1918, decode.d2.loss_mask: 0.4148, decode.d2.loss_dice: 0.6568, decode.d3.loss_cls: 0.1822, decode.d3.loss_mask: 0.4130, decode.d3.loss_dice: 0.6445, decode.d4.loss_cls: 0.1707, decode.d4.loss_mask: 0.4124, decode.d4.loss_dice: 0.6458, decode.d5.loss_cls: 0.1751, decode.d5.loss_mask: 0.4126, decode.d5.loss_dice: 0.6437, decode.d6.loss_cls: 0.1717, decode.d6.loss_mask: 0.4114, decode.d6.loss_dice: 0.6415, decode.d7.loss_cls: 0.1695, decode.d7.loss_mask: 0.4112, decode.d7.loss_dice: 0.6422, decode.d8.loss_cls: 0.1653, decode.d8.loss_mask: 0.4114, decode.d8.loss_dice: 0.6419, loss: 13.4283, grad_norm: 43.6363 2023-11-12 15:01:00,895 - mmseg - INFO - Iter [116900/160000] lr: 2.694e-05, eta: 5:59:43, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1807, decode.loss_mask: 0.4328, decode.loss_dice: 0.6680, decode.d0.loss_cls: 1.1641, decode.d0.loss_mask: 0.4678, decode.d0.loss_dice: 0.7241, decode.d1.loss_cls: 0.2460, decode.d1.loss_mask: 0.4462, decode.d1.loss_dice: 0.6992, decode.d2.loss_cls: 0.2136, decode.d2.loss_mask: 0.4395, decode.d2.loss_dice: 0.6831, decode.d3.loss_cls: 0.2027, decode.d3.loss_mask: 0.4367, decode.d3.loss_dice: 0.6734, decode.d4.loss_cls: 0.1929, decode.d4.loss_mask: 0.4342, decode.d4.loss_dice: 0.6742, decode.d5.loss_cls: 0.1848, decode.d5.loss_mask: 0.4350, decode.d5.loss_dice: 0.6720, decode.d6.loss_cls: 0.1859, decode.d6.loss_mask: 0.4324, decode.d6.loss_dice: 0.6691, decode.d7.loss_cls: 0.1831, decode.d7.loss_mask: 0.4319, decode.d7.loss_dice: 0.6678, decode.d8.loss_cls: 0.1819, decode.d8.loss_mask: 0.4329, decode.d8.loss_dice: 0.6705, loss: 14.1263, grad_norm: 50.6096 2023-11-12 15:01:24,933 - mmseg - INFO - Iter [116950/160000] lr: 2.691e-05, eta: 5:59:18, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1533, decode.loss_mask: 0.4340, decode.loss_dice: 0.6523, decode.d0.loss_cls: 1.1354, decode.d0.loss_mask: 0.4662, decode.d0.loss_dice: 0.7083, decode.d1.loss_cls: 0.2171, decode.d1.loss_mask: 0.4458, decode.d1.loss_dice: 0.6863, decode.d2.loss_cls: 0.1849, decode.d2.loss_mask: 0.4380, decode.d2.loss_dice: 0.6700, decode.d3.loss_cls: 0.1694, decode.d3.loss_mask: 0.4382, decode.d3.loss_dice: 0.6563, decode.d4.loss_cls: 0.1642, decode.d4.loss_mask: 0.4363, decode.d4.loss_dice: 0.6567, decode.d5.loss_cls: 0.1633, decode.d5.loss_mask: 0.4357, decode.d5.loss_dice: 0.6560, decode.d6.loss_cls: 0.1589, decode.d6.loss_mask: 0.4341, decode.d6.loss_dice: 0.6530, decode.d7.loss_cls: 0.1555, decode.d7.loss_mask: 0.4343, decode.d7.loss_dice: 0.6570, decode.d8.loss_cls: 0.1556, decode.d8.loss_mask: 0.4331, decode.d8.loss_dice: 0.6543, loss: 13.7033, grad_norm: 44.6940 2023-11-12 15:01:48,751 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 15:01:48,751 - mmseg - INFO - Iter [117000/160000] lr: 2.688e-05, eta: 5:58:52, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1729, decode.loss_mask: 0.4223, decode.loss_dice: 0.6385, decode.d0.loss_cls: 1.1234, decode.d0.loss_mask: 0.4571, decode.d0.loss_dice: 0.6957, decode.d1.loss_cls: 0.2314, decode.d1.loss_mask: 0.4344, decode.d1.loss_dice: 0.6684, decode.d2.loss_cls: 0.1981, decode.d2.loss_mask: 0.4299, decode.d2.loss_dice: 0.6544, decode.d3.loss_cls: 0.1902, decode.d3.loss_mask: 0.4280, decode.d3.loss_dice: 0.6427, decode.d4.loss_cls: 0.1821, decode.d4.loss_mask: 0.4249, decode.d4.loss_dice: 0.6424, decode.d5.loss_cls: 0.1752, decode.d5.loss_mask: 0.4258, decode.d5.loss_dice: 0.6429, decode.d6.loss_cls: 0.1731, decode.d6.loss_mask: 0.4250, decode.d6.loss_dice: 0.6398, decode.d7.loss_cls: 0.1719, decode.d7.loss_mask: 0.4232, decode.d7.loss_dice: 0.6372, decode.d8.loss_cls: 0.1694, decode.d8.loss_mask: 0.4224, decode.d8.loss_dice: 0.6394, loss: 13.5821, grad_norm: 46.9624 2023-11-12 15:02:12,507 - mmseg - INFO - Iter [117050/160000] lr: 2.684e-05, eta: 5:58:27, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1772, decode.loss_mask: 0.4301, decode.loss_dice: 0.6549, decode.d0.loss_cls: 1.1457, decode.d0.loss_mask: 0.4644, decode.d0.loss_dice: 0.7091, decode.d1.loss_cls: 0.2354, decode.d1.loss_mask: 0.4435, decode.d1.loss_dice: 0.6869, decode.d2.loss_cls: 0.2016, decode.d2.loss_mask: 0.4345, decode.d2.loss_dice: 0.6716, decode.d3.loss_cls: 0.1944, decode.d3.loss_mask: 0.4300, decode.d3.loss_dice: 0.6573, decode.d4.loss_cls: 0.1861, decode.d4.loss_mask: 0.4291, decode.d4.loss_dice: 0.6568, decode.d5.loss_cls: 0.1849, decode.d5.loss_mask: 0.4304, decode.d5.loss_dice: 0.6581, decode.d6.loss_cls: 0.1799, decode.d6.loss_mask: 0.4305, decode.d6.loss_dice: 0.6544, decode.d7.loss_cls: 0.1811, decode.d7.loss_mask: 0.4294, decode.d7.loss_dice: 0.6559, decode.d8.loss_cls: 0.1768, decode.d8.loss_mask: 0.4308, decode.d8.loss_dice: 0.6540, loss: 13.8748, grad_norm: 49.2734 2023-11-12 15:02:36,253 - mmseg - INFO - Iter [117100/160000] lr: 2.681e-05, eta: 5:58:01, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1682, decode.loss_mask: 0.4172, decode.loss_dice: 0.6597, decode.d0.loss_cls: 1.1419, decode.d0.loss_mask: 0.4498, decode.d0.loss_dice: 0.7197, decode.d1.loss_cls: 0.2355, decode.d1.loss_mask: 0.4301, decode.d1.loss_dice: 0.6930, decode.d2.loss_cls: 0.2000, decode.d2.loss_mask: 0.4243, decode.d2.loss_dice: 0.6824, decode.d3.loss_cls: 0.1862, decode.d3.loss_mask: 0.4209, decode.d3.loss_dice: 0.6651, decode.d4.loss_cls: 0.1785, decode.d4.loss_mask: 0.4200, decode.d4.loss_dice: 0.6694, decode.d5.loss_cls: 0.1701, decode.d5.loss_mask: 0.4193, decode.d5.loss_dice: 0.6694, decode.d6.loss_cls: 0.1717, decode.d6.loss_mask: 0.4203, decode.d6.loss_dice: 0.6618, decode.d7.loss_cls: 0.1668, decode.d7.loss_mask: 0.4192, decode.d7.loss_dice: 0.6662, decode.d8.loss_cls: 0.1686, decode.d8.loss_mask: 0.4178, decode.d8.loss_dice: 0.6618, loss: 13.7750, grad_norm: 46.6090 2023-11-12 15:02:59,980 - mmseg - INFO - Iter [117150/160000] lr: 2.678e-05, eta: 5:57:36, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1605, decode.loss_mask: 0.4336, decode.loss_dice: 0.6380, decode.d0.loss_cls: 1.1072, decode.d0.loss_mask: 0.4705, decode.d0.loss_dice: 0.6929, decode.d1.loss_cls: 0.2239, decode.d1.loss_mask: 0.4471, decode.d1.loss_dice: 0.6706, decode.d2.loss_cls: 0.1839, decode.d2.loss_mask: 0.4415, decode.d2.loss_dice: 0.6581, decode.d3.loss_cls: 0.1755, decode.d3.loss_mask: 0.4380, decode.d3.loss_dice: 0.6455, decode.d4.loss_cls: 0.1704, decode.d4.loss_mask: 0.4366, decode.d4.loss_dice: 0.6427, decode.d5.loss_cls: 0.1697, decode.d5.loss_mask: 0.4362, decode.d5.loss_dice: 0.6398, decode.d6.loss_cls: 0.1652, decode.d6.loss_mask: 0.4364, decode.d6.loss_dice: 0.6414, decode.d7.loss_cls: 0.1655, decode.d7.loss_mask: 0.4353, decode.d7.loss_dice: 0.6407, decode.d8.loss_cls: 0.1578, decode.d8.loss_mask: 0.4343, decode.d8.loss_dice: 0.6413, loss: 13.6002, grad_norm: 45.5635 2023-11-12 15:03:24,125 - mmseg - INFO - Iter [117200/160000] lr: 2.675e-05, eta: 5:57:10, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1486, decode.loss_mask: 0.4236, decode.loss_dice: 0.6307, decode.d0.loss_cls: 1.0958, decode.d0.loss_mask: 0.4571, decode.d0.loss_dice: 0.6806, decode.d1.loss_cls: 0.2026, decode.d1.loss_mask: 0.4348, decode.d1.loss_dice: 0.6572, decode.d2.loss_cls: 0.1827, decode.d2.loss_mask: 0.4311, decode.d2.loss_dice: 0.6426, decode.d3.loss_cls: 0.1705, decode.d3.loss_mask: 0.4279, decode.d3.loss_dice: 0.6398, decode.d4.loss_cls: 0.1626, decode.d4.loss_mask: 0.4262, decode.d4.loss_dice: 0.6353, decode.d5.loss_cls: 0.1603, decode.d5.loss_mask: 0.4257, decode.d5.loss_dice: 0.6345, decode.d6.loss_cls: 0.1596, decode.d6.loss_mask: 0.4262, decode.d6.loss_dice: 0.6326, decode.d7.loss_cls: 0.1570, decode.d7.loss_mask: 0.4244, decode.d7.loss_dice: 0.6341, decode.d8.loss_cls: 0.1546, decode.d8.loss_mask: 0.4241, decode.d8.loss_dice: 0.6295, loss: 13.3123, grad_norm: 42.3178 2023-11-12 15:03:48,038 - mmseg - INFO - Iter [117250/160000] lr: 2.672e-05, eta: 5:56:45, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1697, decode.loss_mask: 0.4260, decode.loss_dice: 0.6449, decode.d0.loss_cls: 1.1530, decode.d0.loss_mask: 0.4570, decode.d0.loss_dice: 0.7051, decode.d1.loss_cls: 0.2333, decode.d1.loss_mask: 0.4378, decode.d1.loss_dice: 0.6752, decode.d2.loss_cls: 0.1961, decode.d2.loss_mask: 0.4306, decode.d2.loss_dice: 0.6636, decode.d3.loss_cls: 0.1836, decode.d3.loss_mask: 0.4273, decode.d3.loss_dice: 0.6526, decode.d4.loss_cls: 0.1761, decode.d4.loss_mask: 0.4275, decode.d4.loss_dice: 0.6488, decode.d5.loss_cls: 0.1757, decode.d5.loss_mask: 0.4270, decode.d5.loss_dice: 0.6518, decode.d6.loss_cls: 0.1766, decode.d6.loss_mask: 0.4254, decode.d6.loss_dice: 0.6442, decode.d7.loss_cls: 0.1691, decode.d7.loss_mask: 0.4269, decode.d7.loss_dice: 0.6479, decode.d8.loss_cls: 0.1702, decode.d8.loss_mask: 0.4263, decode.d8.loss_dice: 0.6453, loss: 13.6945, grad_norm: 46.3517 2023-11-12 15:04:11,763 - mmseg - INFO - Iter [117300/160000] lr: 2.669e-05, eta: 5:56:19, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1634, decode.loss_mask: 0.4094, decode.loss_dice: 0.6454, decode.d0.loss_cls: 1.1413, decode.d0.loss_mask: 0.4397, decode.d0.loss_dice: 0.6967, decode.d1.loss_cls: 0.2278, decode.d1.loss_mask: 0.4217, decode.d1.loss_dice: 0.6778, decode.d2.loss_cls: 0.1942, decode.d2.loss_mask: 0.4143, decode.d2.loss_dice: 0.6564, decode.d3.loss_cls: 0.1848, decode.d3.loss_mask: 0.4105, decode.d3.loss_dice: 0.6482, decode.d4.loss_cls: 0.1738, decode.d4.loss_mask: 0.4106, decode.d4.loss_dice: 0.6479, decode.d5.loss_cls: 0.1717, decode.d5.loss_mask: 0.4093, decode.d5.loss_dice: 0.6489, decode.d6.loss_cls: 0.1663, decode.d6.loss_mask: 0.4099, decode.d6.loss_dice: 0.6449, decode.d7.loss_cls: 0.1624, decode.d7.loss_mask: 0.4093, decode.d7.loss_dice: 0.6444, decode.d8.loss_cls: 0.1646, decode.d8.loss_mask: 0.4099, decode.d8.loss_dice: 0.6407, loss: 13.4462, grad_norm: 43.2771 2023-11-12 15:04:35,725 - mmseg - INFO - Iter [117350/160000] lr: 2.666e-05, eta: 5:55:54, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1759, decode.loss_mask: 0.4213, decode.loss_dice: 0.6567, decode.d0.loss_cls: 1.1523, decode.d0.loss_mask: 0.4558, decode.d0.loss_dice: 0.7188, decode.d1.loss_cls: 0.2349, decode.d1.loss_mask: 0.4340, decode.d1.loss_dice: 0.6905, decode.d2.loss_cls: 0.2024, decode.d2.loss_mask: 0.4269, decode.d2.loss_dice: 0.6753, decode.d3.loss_cls: 0.1920, decode.d3.loss_mask: 0.4227, decode.d3.loss_dice: 0.6653, decode.d4.loss_cls: 0.1792, decode.d4.loss_mask: 0.4235, decode.d4.loss_dice: 0.6641, decode.d5.loss_cls: 0.1773, decode.d5.loss_mask: 0.4220, decode.d5.loss_dice: 0.6635, decode.d6.loss_cls: 0.1778, decode.d6.loss_mask: 0.4209, decode.d6.loss_dice: 0.6609, decode.d7.loss_cls: 0.1765, decode.d7.loss_mask: 0.4216, decode.d7.loss_dice: 0.6597, decode.d8.loss_cls: 0.1743, decode.d8.loss_mask: 0.4228, decode.d8.loss_dice: 0.6620, loss: 13.8309, grad_norm: 45.3347 2023-11-12 15:04:59,509 - mmseg - INFO - Iter [117400/160000] lr: 2.663e-05, eta: 5:55:29, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1678, decode.loss_mask: 0.4293, decode.loss_dice: 0.6575, decode.d0.loss_cls: 1.1314, decode.d0.loss_mask: 0.4614, decode.d0.loss_dice: 0.7115, decode.d1.loss_cls: 0.2327, decode.d1.loss_mask: 0.4430, decode.d1.loss_dice: 0.6919, decode.d2.loss_cls: 0.2031, decode.d2.loss_mask: 0.4343, decode.d2.loss_dice: 0.6732, decode.d3.loss_cls: 0.1924, decode.d3.loss_mask: 0.4294, decode.d3.loss_dice: 0.6648, decode.d4.loss_cls: 0.1811, decode.d4.loss_mask: 0.4302, decode.d4.loss_dice: 0.6643, decode.d5.loss_cls: 0.1762, decode.d5.loss_mask: 0.4300, decode.d5.loss_dice: 0.6624, decode.d6.loss_cls: 0.1736, decode.d6.loss_mask: 0.4306, decode.d6.loss_dice: 0.6578, decode.d7.loss_cls: 0.1707, decode.d7.loss_mask: 0.4289, decode.d7.loss_dice: 0.6644, decode.d8.loss_cls: 0.1677, decode.d8.loss_mask: 0.4294, decode.d8.loss_dice: 0.6610, loss: 13.8522, grad_norm: 44.2618 2023-11-12 15:05:23,654 - mmseg - INFO - Iter [117450/160000] lr: 2.659e-05, eta: 5:55:03, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1679, decode.loss_mask: 0.4397, decode.loss_dice: 0.6586, decode.d0.loss_cls: 1.1374, decode.d0.loss_mask: 0.4733, decode.d0.loss_dice: 0.7128, decode.d1.loss_cls: 0.2354, decode.d1.loss_mask: 0.4513, decode.d1.loss_dice: 0.6877, decode.d2.loss_cls: 0.1948, decode.d2.loss_mask: 0.4462, decode.d2.loss_dice: 0.6734, decode.d3.loss_cls: 0.1873, decode.d3.loss_mask: 0.4416, decode.d3.loss_dice: 0.6623, decode.d4.loss_cls: 0.1783, decode.d4.loss_mask: 0.4412, decode.d4.loss_dice: 0.6597, decode.d5.loss_cls: 0.1778, decode.d5.loss_mask: 0.4406, decode.d5.loss_dice: 0.6585, decode.d6.loss_cls: 0.1723, decode.d6.loss_mask: 0.4397, decode.d6.loss_dice: 0.6580, decode.d7.loss_cls: 0.1666, decode.d7.loss_mask: 0.4414, decode.d7.loss_dice: 0.6578, decode.d8.loss_cls: 0.1640, decode.d8.loss_mask: 0.4403, decode.d8.loss_dice: 0.6616, loss: 13.9274, grad_norm: 48.3636 2023-11-12 15:05:49,840 - mmseg - INFO - Iter [117500/160000] lr: 2.656e-05, eta: 5:54:39, time: 0.524, data_time: 0.058, memory: 41146, decode.loss_cls: 0.1789, decode.loss_mask: 0.4350, decode.loss_dice: 0.6613, decode.d0.loss_cls: 1.1416, decode.d0.loss_mask: 0.4616, decode.d0.loss_dice: 0.7163, decode.d1.loss_cls: 0.2548, decode.d1.loss_mask: 0.4468, decode.d1.loss_dice: 0.6916, decode.d2.loss_cls: 0.2130, decode.d2.loss_mask: 0.4399, decode.d2.loss_dice: 0.6771, decode.d3.loss_cls: 0.1986, decode.d3.loss_mask: 0.4349, decode.d3.loss_dice: 0.6672, decode.d4.loss_cls: 0.1883, decode.d4.loss_mask: 0.4338, decode.d4.loss_dice: 0.6638, decode.d5.loss_cls: 0.1836, decode.d5.loss_mask: 0.4356, decode.d5.loss_dice: 0.6666, decode.d6.loss_cls: 0.1826, decode.d6.loss_mask: 0.4345, decode.d6.loss_dice: 0.6644, decode.d7.loss_cls: 0.1820, decode.d7.loss_mask: 0.4333, decode.d7.loss_dice: 0.6628, decode.d8.loss_cls: 0.1758, decode.d8.loss_mask: 0.4354, decode.d8.loss_dice: 0.6661, loss: 14.0270, grad_norm: 50.3652 2023-11-12 15:06:13,716 - mmseg - INFO - Iter [117550/160000] lr: 2.653e-05, eta: 5:54:13, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1622, decode.loss_mask: 0.4228, decode.loss_dice: 0.6458, decode.d0.loss_cls: 1.1515, decode.d0.loss_mask: 0.4576, decode.d0.loss_dice: 0.7065, decode.d1.loss_cls: 0.2263, decode.d1.loss_mask: 0.4372, decode.d1.loss_dice: 0.6766, decode.d2.loss_cls: 0.1946, decode.d2.loss_mask: 0.4294, decode.d2.loss_dice: 0.6558, decode.d3.loss_cls: 0.1821, decode.d3.loss_mask: 0.4255, decode.d3.loss_dice: 0.6482, decode.d4.loss_cls: 0.1757, decode.d4.loss_mask: 0.4257, decode.d4.loss_dice: 0.6453, decode.d5.loss_cls: 0.1752, decode.d5.loss_mask: 0.4227, decode.d5.loss_dice: 0.6441, decode.d6.loss_cls: 0.1663, decode.d6.loss_mask: 0.4237, decode.d6.loss_dice: 0.6445, decode.d7.loss_cls: 0.1647, decode.d7.loss_mask: 0.4232, decode.d7.loss_dice: 0.6431, decode.d8.loss_cls: 0.1621, decode.d8.loss_mask: 0.4229, decode.d8.loss_dice: 0.6458, loss: 13.6069, grad_norm: 46.4512 2023-11-12 15:06:38,277 - mmseg - INFO - Iter [117600/160000] lr: 2.650e-05, eta: 5:53:48, time: 0.491, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1581, decode.loss_mask: 0.4078, decode.loss_dice: 0.6350, decode.d0.loss_cls: 1.1466, decode.d0.loss_mask: 0.4402, decode.d0.loss_dice: 0.7038, decode.d1.loss_cls: 0.2282, decode.d1.loss_mask: 0.4192, decode.d1.loss_dice: 0.6688, decode.d2.loss_cls: 0.1963, decode.d2.loss_mask: 0.4128, decode.d2.loss_dice: 0.6532, decode.d3.loss_cls: 0.1748, decode.d3.loss_mask: 0.4112, decode.d3.loss_dice: 0.6480, decode.d4.loss_cls: 0.1678, decode.d4.loss_mask: 0.4108, decode.d4.loss_dice: 0.6436, decode.d5.loss_cls: 0.1688, decode.d5.loss_mask: 0.4091, decode.d5.loss_dice: 0.6413, decode.d6.loss_cls: 0.1639, decode.d6.loss_mask: 0.4092, decode.d6.loss_dice: 0.6357, decode.d7.loss_cls: 0.1625, decode.d7.loss_mask: 0.4080, decode.d7.loss_dice: 0.6377, decode.d8.loss_cls: 0.1566, decode.d8.loss_mask: 0.4088, decode.d8.loss_dice: 0.6438, loss: 13.3714, grad_norm: 42.8277 2023-11-12 15:07:02,066 - mmseg - INFO - Iter [117650/160000] lr: 2.647e-05, eta: 5:53:22, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1639, decode.loss_mask: 0.4178, decode.loss_dice: 0.6477, decode.d0.loss_cls: 1.1329, decode.d0.loss_mask: 0.4473, decode.d0.loss_dice: 0.6952, decode.d1.loss_cls: 0.2194, decode.d1.loss_mask: 0.4284, decode.d1.loss_dice: 0.6745, decode.d2.loss_cls: 0.1949, decode.d2.loss_mask: 0.4211, decode.d2.loss_dice: 0.6623, decode.d3.loss_cls: 0.1812, decode.d3.loss_mask: 0.4207, decode.d3.loss_dice: 0.6488, decode.d4.loss_cls: 0.1736, decode.d4.loss_mask: 0.4210, decode.d4.loss_dice: 0.6499, decode.d5.loss_cls: 0.1710, decode.d5.loss_mask: 0.4193, decode.d5.loss_dice: 0.6486, decode.d6.loss_cls: 0.1685, decode.d6.loss_mask: 0.4196, decode.d6.loss_dice: 0.6485, decode.d7.loss_cls: 0.1644, decode.d7.loss_mask: 0.4183, decode.d7.loss_dice: 0.6446, decode.d8.loss_cls: 0.1675, decode.d8.loss_mask: 0.4172, decode.d8.loss_dice: 0.6454, loss: 13.5335, grad_norm: 46.1302 2023-11-12 15:07:25,837 - mmseg - INFO - Iter [117700/160000] lr: 2.644e-05, eta: 5:52:57, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1514, decode.loss_mask: 0.4293, decode.loss_dice: 0.6546, decode.d0.loss_cls: 1.1300, decode.d0.loss_mask: 0.4618, decode.d0.loss_dice: 0.7045, decode.d1.loss_cls: 0.2115, decode.d1.loss_mask: 0.4402, decode.d1.loss_dice: 0.6841, decode.d2.loss_cls: 0.1858, decode.d2.loss_mask: 0.4347, decode.d2.loss_dice: 0.6683, decode.d3.loss_cls: 0.1727, decode.d3.loss_mask: 0.4309, decode.d3.loss_dice: 0.6580, decode.d4.loss_cls: 0.1668, decode.d4.loss_mask: 0.4288, decode.d4.loss_dice: 0.6560, decode.d5.loss_cls: 0.1625, decode.d5.loss_mask: 0.4299, decode.d5.loss_dice: 0.6564, decode.d6.loss_cls: 0.1599, decode.d6.loss_mask: 0.4307, decode.d6.loss_dice: 0.6542, decode.d7.loss_cls: 0.1547, decode.d7.loss_mask: 0.4300, decode.d7.loss_dice: 0.6546, decode.d8.loss_cls: 0.1554, decode.d8.loss_mask: 0.4293, decode.d8.loss_dice: 0.6561, loss: 13.6431, grad_norm: 44.6917 2023-11-12 15:07:49,579 - mmseg - INFO - Iter [117750/160000] lr: 2.641e-05, eta: 5:52:31, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1748, decode.loss_mask: 0.4277, decode.loss_dice: 0.6464, decode.d0.loss_cls: 1.1545, decode.d0.loss_mask: 0.4628, decode.d0.loss_dice: 0.7071, decode.d1.loss_cls: 0.2380, decode.d1.loss_mask: 0.4412, decode.d1.loss_dice: 0.6749, decode.d2.loss_cls: 0.2022, decode.d2.loss_mask: 0.4350, decode.d2.loss_dice: 0.6669, decode.d3.loss_cls: 0.1916, decode.d3.loss_mask: 0.4315, decode.d3.loss_dice: 0.6542, decode.d4.loss_cls: 0.1817, decode.d4.loss_mask: 0.4299, decode.d4.loss_dice: 0.6547, decode.d5.loss_cls: 0.1783, decode.d5.loss_mask: 0.4296, decode.d5.loss_dice: 0.6526, decode.d6.loss_cls: 0.1812, decode.d6.loss_mask: 0.4295, decode.d6.loss_dice: 0.6553, decode.d7.loss_cls: 0.1754, decode.d7.loss_mask: 0.4288, decode.d7.loss_dice: 0.6489, decode.d8.loss_cls: 0.1727, decode.d8.loss_mask: 0.4284, decode.d8.loss_dice: 0.6489, loss: 13.8045, grad_norm: 47.8281 2023-11-12 15:08:13,442 - mmseg - INFO - Iter [117800/160000] lr: 2.638e-05, eta: 5:52:06, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1637, decode.loss_mask: 0.4247, decode.loss_dice: 0.6511, decode.d0.loss_cls: 1.1012, decode.d0.loss_mask: 0.4540, decode.d0.loss_dice: 0.7065, decode.d1.loss_cls: 0.2160, decode.d1.loss_mask: 0.4388, decode.d1.loss_dice: 0.6810, decode.d2.loss_cls: 0.1884, decode.d2.loss_mask: 0.4286, decode.d2.loss_dice: 0.6668, decode.d3.loss_cls: 0.1767, decode.d3.loss_mask: 0.4256, decode.d3.loss_dice: 0.6536, decode.d4.loss_cls: 0.1701, decode.d4.loss_mask: 0.4250, decode.d4.loss_dice: 0.6531, decode.d5.loss_cls: 0.1711, decode.d5.loss_mask: 0.4254, decode.d5.loss_dice: 0.6520, decode.d6.loss_cls: 0.1696, decode.d6.loss_mask: 0.4238, decode.d6.loss_dice: 0.6504, decode.d7.loss_cls: 0.1652, decode.d7.loss_mask: 0.4250, decode.d7.loss_dice: 0.6508, decode.d8.loss_cls: 0.1657, decode.d8.loss_mask: 0.4252, decode.d8.loss_dice: 0.6508, loss: 13.6000, grad_norm: 43.1958 2023-11-12 15:08:37,321 - mmseg - INFO - Iter [117850/160000] lr: 2.634e-05, eta: 5:51:41, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1690, decode.loss_mask: 0.4238, decode.loss_dice: 0.6414, decode.d0.loss_cls: 1.1222, decode.d0.loss_mask: 0.4539, decode.d0.loss_dice: 0.7005, decode.d1.loss_cls: 0.2265, decode.d1.loss_mask: 0.4364, decode.d1.loss_dice: 0.6688, decode.d2.loss_cls: 0.1934, decode.d2.loss_mask: 0.4267, decode.d2.loss_dice: 0.6550, decode.d3.loss_cls: 0.1823, decode.d3.loss_mask: 0.4250, decode.d3.loss_dice: 0.6476, decode.d4.loss_cls: 0.1749, decode.d4.loss_mask: 0.4248, decode.d4.loss_dice: 0.6447, decode.d5.loss_cls: 0.1740, decode.d5.loss_mask: 0.4248, decode.d5.loss_dice: 0.6469, decode.d6.loss_cls: 0.1715, decode.d6.loss_mask: 0.4235, decode.d6.loss_dice: 0.6410, decode.d7.loss_cls: 0.1715, decode.d7.loss_mask: 0.4236, decode.d7.loss_dice: 0.6440, decode.d8.loss_cls: 0.1688, decode.d8.loss_mask: 0.4232, decode.d8.loss_dice: 0.6410, loss: 13.5705, grad_norm: 48.5974 2023-11-12 15:09:01,081 - mmseg - INFO - Iter [117900/160000] lr: 2.631e-05, eta: 5:51:15, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1571, decode.loss_mask: 0.4246, decode.loss_dice: 0.6310, decode.d0.loss_cls: 1.1216, decode.d0.loss_mask: 0.4555, decode.d0.loss_dice: 0.6839, decode.d1.loss_cls: 0.2275, decode.d1.loss_mask: 0.4387, decode.d1.loss_dice: 0.6632, decode.d2.loss_cls: 0.1910, decode.d2.loss_mask: 0.4310, decode.d2.loss_dice: 0.6482, decode.d3.loss_cls: 0.1771, decode.d3.loss_mask: 0.4272, decode.d3.loss_dice: 0.6361, decode.d4.loss_cls: 0.1677, decode.d4.loss_mask: 0.4263, decode.d4.loss_dice: 0.6380, decode.d5.loss_cls: 0.1701, decode.d5.loss_mask: 0.4240, decode.d5.loss_dice: 0.6294, decode.d6.loss_cls: 0.1672, decode.d6.loss_mask: 0.4227, decode.d6.loss_dice: 0.6295, decode.d7.loss_cls: 0.1644, decode.d7.loss_mask: 0.4244, decode.d7.loss_dice: 0.6302, decode.d8.loss_cls: 0.1582, decode.d8.loss_mask: 0.4238, decode.d8.loss_dice: 0.6303, loss: 13.4200, grad_norm: 47.4006 2023-11-12 15:09:24,893 - mmseg - INFO - Iter [117950/160000] lr: 2.628e-05, eta: 5:50:50, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1684, decode.loss_mask: 0.4190, decode.loss_dice: 0.6434, decode.d0.loss_cls: 1.1482, decode.d0.loss_mask: 0.4527, decode.d0.loss_dice: 0.7032, decode.d1.loss_cls: 0.2282, decode.d1.loss_mask: 0.4338, decode.d1.loss_dice: 0.6818, decode.d2.loss_cls: 0.2018, decode.d2.loss_mask: 0.4224, decode.d2.loss_dice: 0.6624, decode.d3.loss_cls: 0.1835, decode.d3.loss_mask: 0.4212, decode.d3.loss_dice: 0.6533, decode.d4.loss_cls: 0.1798, decode.d4.loss_mask: 0.4205, decode.d4.loss_dice: 0.6487, decode.d5.loss_cls: 0.1739, decode.d5.loss_mask: 0.4205, decode.d5.loss_dice: 0.6465, decode.d6.loss_cls: 0.1755, decode.d6.loss_mask: 0.4199, decode.d6.loss_dice: 0.6462, decode.d7.loss_cls: 0.1716, decode.d7.loss_mask: 0.4216, decode.d7.loss_dice: 0.6423, decode.d8.loss_cls: 0.1715, decode.d8.loss_mask: 0.4197, decode.d8.loss_dice: 0.6429, loss: 13.6245, grad_norm: 45.9620 2023-11-12 15:09:48,860 - mmseg - INFO - Saving checkpoint at 118000 iterations 2023-11-12 15:09:52,851 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 15:09:52,851 - mmseg - INFO - Iter [118000/160000] lr: 2.625e-05, eta: 5:50:26, time: 0.559, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1569, decode.loss_mask: 0.4418, decode.loss_dice: 0.6692, decode.d0.loss_cls: 1.0969, decode.d0.loss_mask: 0.4754, decode.d0.loss_dice: 0.7164, decode.d1.loss_cls: 0.2206, decode.d1.loss_mask: 0.4535, decode.d1.loss_dice: 0.7014, decode.d2.loss_cls: 0.1867, decode.d2.loss_mask: 0.4493, decode.d2.loss_dice: 0.6827, decode.d3.loss_cls: 0.1696, decode.d3.loss_mask: 0.4480, decode.d3.loss_dice: 0.6741, decode.d4.loss_cls: 0.1660, decode.d4.loss_mask: 0.4445, decode.d4.loss_dice: 0.6716, decode.d5.loss_cls: 0.1597, decode.d5.loss_mask: 0.4435, decode.d5.loss_dice: 0.6745, decode.d6.loss_cls: 0.1589, decode.d6.loss_mask: 0.4425, decode.d6.loss_dice: 0.6692, decode.d7.loss_cls: 0.1618, decode.d7.loss_mask: 0.4419, decode.d7.loss_dice: 0.6704, decode.d8.loss_cls: 0.1553, decode.d8.loss_mask: 0.4420, decode.d8.loss_dice: 0.6706, loss: 13.9148, grad_norm: 47.9080 2023-11-12 15:10:11,917 - mmseg - INFO - per class results: 2023-11-12 15:10:11,922 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.43 | 87.44 | | building | 82.83 | 91.99 | | sky | 94.76 | 97.38 | | floor | 83.23 | 90.4 | | tree | 74.98 | 87.08 | | ceiling | 85.54 | 91.91 | | road | 85.5 | 90.24 | | bed | 90.86 | 96.11 | | windowpane | 63.69 | 80.58 | | grass | 64.23 | 76.18 | | cabinet | 63.64 | 76.21 | | sidewalk | 67.67 | 83.57 | | person | 84.84 | 92.8 | | earth | 38.1 | 52.31 | | door | 50.06 | 67.95 | | table | 64.77 | 80.61 | | mountain | 68.33 | 77.71 | | plant | 53.69 | 67.39 | | curtain | 79.09 | 89.19 | | chair | 62.39 | 76.1 | | car | 85.3 | 91.65 | | water | 60.37 | 75.49 | | painting | 76.48 | 89.81 | | sofa | 67.81 | 78.77 | | shelf | 42.23 | 57.83 | | house | 34.09 | 52.12 | | sea | 69.04 | 90.39 | | mirror | 73.55 | 85.48 | | rug | 66.7 | 79.19 | | field | 23.7 | 53.92 | | armchair | 46.94 | 70.87 | | seat | 59.49 | 83.69 | | fence | 49.47 | 67.71 | | desk | 56.06 | 74.81 | | rock | 55.67 | 78.86 | | wardrobe | 49.75 | 68.21 | | lamp | 71.82 | 83.26 | | bathtub | 83.65 | 92.93 | | railing | 38.7 | 52.26 | | cushion | 64.24 | 74.26 | | base | 30.11 | 54.43 | | box | 28.8 | 36.85 | | column | 46.54 | 59.24 | | signboard | 36.63 | 54.4 | | chest of drawers | 36.08 | 66.38 | | counter | 26.32 | 31.71 | | sand | 32.86 | 45.71 | | sink | 75.42 | 81.67 | | skyscraper | 36.28 | 41.79 | | fireplace | 77.15 | 96.43 | | refrigerator | 74.43 | 83.01 | | grandstand | 47.14 | 67.61 | | path | 26.71 | 43.07 | | stairs | 33.31 | 46.72 | | runway | 86.85 | 92.34 | | case | 65.31 | 85.92 | | pool table | 95.35 | 97.8 | | pillow | 64.41 | 79.34 | | screen door | 75.8 | 86.31 | | stairway | 35.94 | 41.44 | | river | 17.91 | 24.74 | | bridge | 77.06 | 86.7 | | bookcase | 36.98 | 62.36 | | blind | 43.92 | 51.44 | | coffee table | 65.61 | 85.92 | | toilet | 88.9 | 91.63 | | flower | 45.92 | 64.94 | | book | 46.7 | 66.41 | | hill | 8.66 | 24.69 | | bench | 48.04 | 57.84 | | countertop | 55.72 | 67.78 | | stove | 81.85 | 86.34 | | palm | 57.03 | 72.22 | | kitchen island | 47.46 | 88.56 | | computer | 71.13 | 78.12 | | swivel chair | 45.56 | 65.92 | | boat | 39.09 | 50.5 | | bar | 33.45 | 45.73 | | arcade machine | 88.67 | 94.43 | | hovel | 29.91 | 48.96 | | bus | 93.65 | 96.66 | | towel | 70.09 | 79.87 | | light | 63.31 | 79.11 | | truck | 31.35 | 58.6 | | tower | 22.97 | 44.9 | | chandelier | 68.12 | 88.45 | | awning | 33.22 | 47.67 | | streetlight | 42.89 | 65.17 | | booth | 35.94 | 66.31 | | television receiver | 76.48 | 84.7 | | airplane | 68.28 | 76.58 | | dirt track | 15.73 | 54.42 | | apparel | 28.29 | 48.6 | | pole | 31.54 | 45.14 | | land | 6.25 | 8.5 | | bannister | 19.87 | 31.39 | | escalator | 19.68 | 23.77 | | ottoman | 56.52 | 74.22 | | bottle | 39.46 | 52.01 | | buffet | 45.5 | 58.81 | | poster | 18.76 | 31.3 | | stage | 16.81 | 34.52 | | van | 39.86 | 59.26 | | ship | 4.82 | 10.6 | | fountain | 18.66 | 21.82 | | conveyer belt | 51.92 | 67.84 | | canopy | 31.68 | 42.8 | | washer | 70.58 | 73.21 | | plaything | 47.7 | 62.14 | | swimming pool | 57.15 | 61.33 | | stool | 51.84 | 67.12 | | barrel | 92.3 | 97.51 | | basket | 36.08 | 48.71 | | waterfall | 64.12 | 93.41 | | tent | 95.86 | 98.13 | | bag | 18.27 | 22.23 | | minibike | 74.65 | 90.13 | | cradle | 86.08 | 97.33 | | oven | 27.25 | 83.3 | | ball | 40.26 | 44.49 | | food | 63.15 | 78.0 | | step | 13.55 | 16.81 | | tank | 51.55 | 66.25 | | trade name | 27.53 | 33.81 | | microwave | 39.71 | 41.84 | | pot | 48.58 | 56.74 | | animal | 57.44 | 58.57 | | bicycle | 51.55 | 74.0 | | lake | 57.96 | 63.58 | | dishwasher | 79.71 | 85.56 | | screen | 58.82 | 89.9 | | blanket | 23.55 | 35.07 | | sculpture | 66.11 | 88.54 | | hood | 87.19 | 94.1 | | sconce | 56.8 | 67.97 | | vase | 49.95 | 65.09 | | traffic light | 43.17 | 65.94 | | tray | 11.99 | 31.3 | | ashcan | 54.17 | 69.46 | | fan | 70.35 | 84.43 | | pier | 28.9 | 44.7 | | crt screen | 2.18 | 6.68 | | plate | 42.32 | 50.73 | | monitor | 10.37 | 13.7 | | bulletin board | 49.85 | 73.97 | | shower | 12.47 | 22.42 | | radiator | 70.75 | 82.86 | | glass | 20.41 | 22.05 | | clock | 58.11 | 70.75 | | flag | 46.33 | 53.27 | +---------------------+-------+-------+ 2023-11-12 15:10:11,922 - mmseg - INFO - Summary: 2023-11-12 15:10:11,922 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 83.9 | 52.28 | 65.75 | +------+-------+-------+ 2023-11-12 15:10:11,923 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 15:10:11,923 - mmseg - INFO - Iter(val) [250] aAcc: 0.8390, mIoU: 0.5228, mAcc: 0.6575, IoU.wall: 0.7943, IoU.building: 0.8283, IoU.sky: 0.9476, IoU.floor: 0.8323, IoU.tree: 0.7498, IoU.ceiling: 0.8554, IoU.road: 0.8550, IoU.bed : 0.9086, IoU.windowpane: 0.6369, IoU.grass: 0.6423, IoU.cabinet: 0.6364, IoU.sidewalk: 0.6767, IoU.person: 0.8484, IoU.earth: 0.3810, IoU.door: 0.5006, IoU.table: 0.6477, IoU.mountain: 0.6833, IoU.plant: 0.5369, IoU.curtain: 0.7909, IoU.chair: 0.6239, IoU.car: 0.8530, IoU.water: 0.6037, IoU.painting: 0.7648, IoU.sofa: 0.6781, IoU.shelf: 0.4223, IoU.house: 0.3409, IoU.sea: 0.6904, IoU.mirror: 0.7355, IoU.rug: 0.6670, IoU.field: 0.2370, IoU.armchair: 0.4694, IoU.seat: 0.5949, IoU.fence: 0.4947, IoU.desk: 0.5606, IoU.rock: 0.5567, IoU.wardrobe: 0.4975, IoU.lamp: 0.7182, IoU.bathtub: 0.8365, IoU.railing: 0.3870, IoU.cushion: 0.6424, IoU.base: 0.3011, IoU.box: 0.2880, IoU.column: 0.4654, IoU.signboard: 0.3663, IoU.chest of drawers: 0.3608, IoU.counter: 0.2632, IoU.sand: 0.3286, IoU.sink: 0.7542, IoU.skyscraper: 0.3628, IoU.fireplace: 0.7715, IoU.refrigerator: 0.7443, IoU.grandstand: 0.4714, IoU.path: 0.2671, IoU.stairs: 0.3331, IoU.runway: 0.8685, IoU.case: 0.6531, IoU.pool table: 0.9535, IoU.pillow: 0.6441, IoU.screen door: 0.7580, IoU.stairway: 0.3594, IoU.river: 0.1791, IoU.bridge: 0.7706, IoU.bookcase: 0.3698, IoU.blind: 0.4392, IoU.coffee table: 0.6561, IoU.toilet: 0.8890, IoU.flower: 0.4592, IoU.book: 0.4670, IoU.hill: 0.0866, IoU.bench: 0.4804, IoU.countertop: 0.5572, IoU.stove: 0.8185, IoU.palm: 0.5703, IoU.kitchen island: 0.4746, IoU.computer: 0.7113, IoU.swivel chair: 0.4556, IoU.boat: 0.3909, IoU.bar: 0.3345, IoU.arcade machine: 0.8867, IoU.hovel: 0.2991, IoU.bus: 0.9365, IoU.towel: 0.7009, IoU.light: 0.6331, IoU.truck: 0.3135, IoU.tower: 0.2297, IoU.chandelier: 0.6812, IoU.awning: 0.3322, IoU.streetlight: 0.4289, IoU.booth: 0.3594, IoU.television receiver: 0.7648, IoU.airplane: 0.6828, IoU.dirt track: 0.1573, IoU.apparel: 0.2829, IoU.pole: 0.3154, IoU.land: 0.0625, IoU.bannister: 0.1987, IoU.escalator: 0.1968, IoU.ottoman: 0.5652, IoU.bottle: 0.3946, IoU.buffet: 0.4550, IoU.poster: 0.1876, IoU.stage: 0.1681, IoU.van: 0.3986, IoU.ship: 0.0482, IoU.fountain: 0.1866, IoU.conveyer belt: 0.5192, IoU.canopy: 0.3168, IoU.washer: 0.7058, IoU.plaything: 0.4770, IoU.swimming pool: 0.5715, IoU.stool: 0.5184, IoU.barrel: 0.9230, IoU.basket: 0.3608, IoU.waterfall: 0.6412, IoU.tent: 0.9586, IoU.bag: 0.1827, IoU.minibike: 0.7465, IoU.cradle: 0.8608, IoU.oven: 0.2725, IoU.ball: 0.4026, IoU.food: 0.6315, IoU.step: 0.1355, IoU.tank: 0.5155, IoU.trade name: 0.2753, IoU.microwave: 0.3971, IoU.pot: 0.4858, IoU.animal: 0.5744, IoU.bicycle: 0.5155, IoU.lake: 0.5796, IoU.dishwasher: 0.7971, IoU.screen: 0.5882, IoU.blanket: 0.2355, IoU.sculpture: 0.6611, IoU.hood: 0.8719, IoU.sconce: 0.5680, IoU.vase: 0.4995, IoU.traffic light: 0.4317, IoU.tray: 0.1199, IoU.ashcan: 0.5417, IoU.fan: 0.7035, IoU.pier: 0.2890, IoU.crt screen: 0.0218, IoU.plate: 0.4232, IoU.monitor: 0.1037, IoU.bulletin board: 0.4985, IoU.shower: 0.1247, IoU.radiator: 0.7075, IoU.glass: 0.2041, IoU.clock: 0.5811, IoU.flag: 0.4633, Acc.wall: 0.8744, Acc.building: 0.9199, Acc.sky: 0.9738, Acc.floor: 0.9040, Acc.tree: 0.8708, Acc.ceiling: 0.9191, Acc.road: 0.9024, Acc.bed : 0.9611, Acc.windowpane: 0.8058, Acc.grass: 0.7618, Acc.cabinet: 0.7621, Acc.sidewalk: 0.8357, Acc.person: 0.9280, Acc.earth: 0.5231, Acc.door: 0.6795, Acc.table: 0.8061, Acc.mountain: 0.7771, Acc.plant: 0.6739, Acc.curtain: 0.8919, Acc.chair: 0.7610, Acc.car: 0.9165, Acc.water: 0.7549, Acc.painting: 0.8981, Acc.sofa: 0.7877, Acc.shelf: 0.5783, Acc.house: 0.5212, Acc.sea: 0.9039, Acc.mirror: 0.8548, Acc.rug: 0.7919, Acc.field: 0.5392, Acc.armchair: 0.7087, Acc.seat: 0.8369, Acc.fence: 0.6771, Acc.desk: 0.7481, Acc.rock: 0.7886, Acc.wardrobe: 0.6821, Acc.lamp: 0.8326, Acc.bathtub: 0.9293, Acc.railing: 0.5226, Acc.cushion: 0.7426, Acc.base: 0.5443, Acc.box: 0.3685, Acc.column: 0.5924, Acc.signboard: 0.5440, Acc.chest of drawers: 0.6638, Acc.counter: 0.3171, Acc.sand: 0.4571, Acc.sink: 0.8167, Acc.skyscraper: 0.4179, Acc.fireplace: 0.9643, Acc.refrigerator: 0.8301, Acc.grandstand: 0.6761, Acc.path: 0.4307, Acc.stairs: 0.4672, Acc.runway: 0.9234, Acc.case: 0.8592, Acc.pool table: 0.9780, Acc.pillow: 0.7934, Acc.screen door: 0.8631, Acc.stairway: 0.4144, Acc.river: 0.2474, Acc.bridge: 0.8670, Acc.bookcase: 0.6236, Acc.blind: 0.5144, Acc.coffee table: 0.8592, Acc.toilet: 0.9163, Acc.flower: 0.6494, Acc.book: 0.6641, Acc.hill: 0.2469, Acc.bench: 0.5784, Acc.countertop: 0.6778, Acc.stove: 0.8634, Acc.palm: 0.7222, Acc.kitchen island: 0.8856, Acc.computer: 0.7812, Acc.swivel chair: 0.6592, Acc.boat: 0.5050, Acc.bar: 0.4573, Acc.arcade machine: 0.9443, Acc.hovel: 0.4896, Acc.bus: 0.9666, Acc.towel: 0.7987, Acc.light: 0.7911, Acc.truck: 0.5860, Acc.tower: 0.4490, Acc.chandelier: 0.8845, Acc.awning: 0.4767, Acc.streetlight: 0.6517, Acc.booth: 0.6631, Acc.television receiver: 0.8470, Acc.airplane: 0.7658, Acc.dirt track: 0.5442, Acc.apparel: 0.4860, Acc.pole: 0.4514, Acc.land: 0.0850, Acc.bannister: 0.3139, Acc.escalator: 0.2377, Acc.ottoman: 0.7422, Acc.bottle: 0.5201, Acc.buffet: 0.5881, Acc.poster: 0.3130, Acc.stage: 0.3452, Acc.van: 0.5926, Acc.ship: 0.1060, Acc.fountain: 0.2182, Acc.conveyer belt: 0.6784, Acc.canopy: 0.4280, Acc.washer: 0.7321, Acc.plaything: 0.6214, Acc.swimming pool: 0.6133, Acc.stool: 0.6712, Acc.barrel: 0.9751, Acc.basket: 0.4871, Acc.waterfall: 0.9341, Acc.tent: 0.9813, Acc.bag: 0.2223, Acc.minibike: 0.9013, Acc.cradle: 0.9733, Acc.oven: 0.8330, Acc.ball: 0.4449, Acc.food: 0.7800, Acc.step: 0.1681, Acc.tank: 0.6625, Acc.trade name: 0.3381, Acc.microwave: 0.4184, Acc.pot: 0.5674, Acc.animal: 0.5857, Acc.bicycle: 0.7400, Acc.lake: 0.6358, Acc.dishwasher: 0.8556, Acc.screen: 0.8990, Acc.blanket: 0.3507, Acc.sculpture: 0.8854, Acc.hood: 0.9410, Acc.sconce: 0.6797, Acc.vase: 0.6509, Acc.traffic light: 0.6594, Acc.tray: 0.3130, Acc.ashcan: 0.6946, Acc.fan: 0.8443, Acc.pier: 0.4470, Acc.crt screen: 0.0668, Acc.plate: 0.5073, Acc.monitor: 0.1370, Acc.bulletin board: 0.7397, Acc.shower: 0.2242, Acc.radiator: 0.8286, Acc.glass: 0.2205, Acc.clock: 0.7075, Acc.flag: 0.5327 2023-11-12 15:10:36,063 - mmseg - INFO - Iter [118050/160000] lr: 2.622e-05, eta: 5:50:07, time: 0.864, data_time: 0.394, memory: 41146, decode.loss_cls: 0.1539, decode.loss_mask: 0.4298, decode.loss_dice: 0.6434, decode.d0.loss_cls: 1.1331, decode.d0.loss_mask: 0.4614, decode.d0.loss_dice: 0.7027, decode.d1.loss_cls: 0.2134, decode.d1.loss_mask: 0.4466, decode.d1.loss_dice: 0.6789, decode.d2.loss_cls: 0.1835, decode.d2.loss_mask: 0.4352, decode.d2.loss_dice: 0.6597, decode.d3.loss_cls: 0.1711, decode.d3.loss_mask: 0.4333, decode.d3.loss_dice: 0.6499, decode.d4.loss_cls: 0.1632, decode.d4.loss_mask: 0.4335, decode.d4.loss_dice: 0.6506, decode.d5.loss_cls: 0.1624, decode.d5.loss_mask: 0.4309, decode.d5.loss_dice: 0.6489, decode.d6.loss_cls: 0.1605, decode.d6.loss_mask: 0.4295, decode.d6.loss_dice: 0.6474, decode.d7.loss_cls: 0.1580, decode.d7.loss_mask: 0.4310, decode.d7.loss_dice: 0.6509, decode.d8.loss_cls: 0.1570, decode.d8.loss_mask: 0.4308, decode.d8.loss_dice: 0.6462, loss: 13.5967, grad_norm: 47.6269 2023-11-12 15:11:01,084 - mmseg - INFO - Iter [118100/160000] lr: 2.619e-05, eta: 5:49:42, time: 0.500, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1584, decode.loss_mask: 0.4117, decode.loss_dice: 0.6408, decode.d0.loss_cls: 1.1200, decode.d0.loss_mask: 0.4465, decode.d0.loss_dice: 0.7062, decode.d1.loss_cls: 0.2327, decode.d1.loss_mask: 0.4246, decode.d1.loss_dice: 0.6770, decode.d2.loss_cls: 0.1959, decode.d2.loss_mask: 0.4160, decode.d2.loss_dice: 0.6587, decode.d3.loss_cls: 0.1809, decode.d3.loss_mask: 0.4141, decode.d3.loss_dice: 0.6468, decode.d4.loss_cls: 0.1742, decode.d4.loss_mask: 0.4144, decode.d4.loss_dice: 0.6490, decode.d5.loss_cls: 0.1672, decode.d5.loss_mask: 0.4129, decode.d5.loss_dice: 0.6491, decode.d6.loss_cls: 0.1684, decode.d6.loss_mask: 0.4121, decode.d6.loss_dice: 0.6449, decode.d7.loss_cls: 0.1625, decode.d7.loss_mask: 0.4111, decode.d7.loss_dice: 0.6432, decode.d8.loss_cls: 0.1601, decode.d8.loss_mask: 0.4118, decode.d8.loss_dice: 0.6428, loss: 13.4538, grad_norm: 47.2596 2023-11-12 15:11:26,019 - mmseg - INFO - Iter [118150/160000] lr: 2.616e-05, eta: 5:49:17, time: 0.499, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1656, decode.loss_mask: 0.4254, decode.loss_dice: 0.6463, decode.d0.loss_cls: 1.1224, decode.d0.loss_mask: 0.4582, decode.d0.loss_dice: 0.7062, decode.d1.loss_cls: 0.2277, decode.d1.loss_mask: 0.4379, decode.d1.loss_dice: 0.6784, decode.d2.loss_cls: 0.1885, decode.d2.loss_mask: 0.4329, decode.d2.loss_dice: 0.6649, decode.d3.loss_cls: 0.1805, decode.d3.loss_mask: 0.4299, decode.d3.loss_dice: 0.6556, decode.d4.loss_cls: 0.1737, decode.d4.loss_mask: 0.4292, decode.d4.loss_dice: 0.6544, decode.d5.loss_cls: 0.1699, decode.d5.loss_mask: 0.4277, decode.d5.loss_dice: 0.6527, decode.d6.loss_cls: 0.1700, decode.d6.loss_mask: 0.4277, decode.d6.loss_dice: 0.6486, decode.d7.loss_cls: 0.1668, decode.d7.loss_mask: 0.4281, decode.d7.loss_dice: 0.6448, decode.d8.loss_cls: 0.1665, decode.d8.loss_mask: 0.4260, decode.d8.loss_dice: 0.6524, loss: 13.6589, grad_norm: 45.1486 2023-11-12 15:11:49,803 - mmseg - INFO - Iter [118200/160000] lr: 2.613e-05, eta: 5:48:51, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1395, decode.loss_mask: 0.4099, decode.loss_dice: 0.6516, decode.d0.loss_cls: 1.1023, decode.d0.loss_mask: 0.4400, decode.d0.loss_dice: 0.6999, decode.d1.loss_cls: 0.1970, decode.d1.loss_mask: 0.4219, decode.d1.loss_dice: 0.6813, decode.d2.loss_cls: 0.1658, decode.d2.loss_mask: 0.4190, decode.d2.loss_dice: 0.6685, decode.d3.loss_cls: 0.1543, decode.d3.loss_mask: 0.4150, decode.d3.loss_dice: 0.6528, decode.d4.loss_cls: 0.1485, decode.d4.loss_mask: 0.4124, decode.d4.loss_dice: 0.6534, decode.d5.loss_cls: 0.1459, decode.d5.loss_mask: 0.4109, decode.d5.loss_dice: 0.6539, decode.d6.loss_cls: 0.1396, decode.d6.loss_mask: 0.4111, decode.d6.loss_dice: 0.6512, decode.d7.loss_cls: 0.1420, decode.d7.loss_mask: 0.4100, decode.d7.loss_dice: 0.6505, decode.d8.loss_cls: 0.1387, decode.d8.loss_mask: 0.4100, decode.d8.loss_dice: 0.6542, loss: 13.2510, grad_norm: 45.2852 2023-11-12 15:12:13,679 - mmseg - INFO - Iter [118250/160000] lr: 2.609e-05, eta: 5:48:26, time: 0.477, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1528, decode.loss_mask: 0.4269, decode.loss_dice: 0.6600, decode.d0.loss_cls: 1.1366, decode.d0.loss_mask: 0.4560, decode.d0.loss_dice: 0.7164, decode.d1.loss_cls: 0.2200, decode.d1.loss_mask: 0.4372, decode.d1.loss_dice: 0.6918, decode.d2.loss_cls: 0.1827, decode.d2.loss_mask: 0.4326, decode.d2.loss_dice: 0.6776, decode.d3.loss_cls: 0.1731, decode.d3.loss_mask: 0.4286, decode.d3.loss_dice: 0.6694, decode.d4.loss_cls: 0.1646, decode.d4.loss_mask: 0.4286, decode.d4.loss_dice: 0.6664, decode.d5.loss_cls: 0.1592, decode.d5.loss_mask: 0.4278, decode.d5.loss_dice: 0.6641, decode.d6.loss_cls: 0.1595, decode.d6.loss_mask: 0.4278, decode.d6.loss_dice: 0.6653, decode.d7.loss_cls: 0.1548, decode.d7.loss_mask: 0.4265, decode.d7.loss_dice: 0.6629, decode.d8.loss_cls: 0.1484, decode.d8.loss_mask: 0.4271, decode.d8.loss_dice: 0.6631, loss: 13.7077, grad_norm: 46.7094 2023-11-12 15:12:37,334 - mmseg - INFO - Iter [118300/160000] lr: 2.606e-05, eta: 5:48:00, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1596, decode.loss_mask: 0.4315, decode.loss_dice: 0.6404, decode.d0.loss_cls: 1.1050, decode.d0.loss_mask: 0.4631, decode.d0.loss_dice: 0.6967, decode.d1.loss_cls: 0.2224, decode.d1.loss_mask: 0.4463, decode.d1.loss_dice: 0.6677, decode.d2.loss_cls: 0.1923, decode.d2.loss_mask: 0.4367, decode.d2.loss_dice: 0.6551, decode.d3.loss_cls: 0.1724, decode.d3.loss_mask: 0.4308, decode.d3.loss_dice: 0.6435, decode.d4.loss_cls: 0.1680, decode.d4.loss_mask: 0.4336, decode.d4.loss_dice: 0.6471, decode.d5.loss_cls: 0.1641, decode.d5.loss_mask: 0.4338, decode.d5.loss_dice: 0.6432, decode.d6.loss_cls: 0.1656, decode.d6.loss_mask: 0.4318, decode.d6.loss_dice: 0.6398, decode.d7.loss_cls: 0.1613, decode.d7.loss_mask: 0.4316, decode.d7.loss_dice: 0.6394, decode.d8.loss_cls: 0.1605, decode.d8.loss_mask: 0.4320, decode.d8.loss_dice: 0.6399, loss: 13.5554, grad_norm: 44.5949 2023-11-12 15:13:01,037 - mmseg - INFO - Iter [118350/160000] lr: 2.603e-05, eta: 5:47:35, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1641, decode.loss_mask: 0.4234, decode.loss_dice: 0.6407, decode.d0.loss_cls: 1.1150, decode.d0.loss_mask: 0.4544, decode.d0.loss_dice: 0.6895, decode.d1.loss_cls: 0.2286, decode.d1.loss_mask: 0.4349, decode.d1.loss_dice: 0.6715, decode.d2.loss_cls: 0.1911, decode.d2.loss_mask: 0.4300, decode.d2.loss_dice: 0.6545, decode.d3.loss_cls: 0.1817, decode.d3.loss_mask: 0.4257, decode.d3.loss_dice: 0.6465, decode.d4.loss_cls: 0.1760, decode.d4.loss_mask: 0.4232, decode.d4.loss_dice: 0.6426, decode.d5.loss_cls: 0.1691, decode.d5.loss_mask: 0.4241, decode.d5.loss_dice: 0.6448, decode.d6.loss_cls: 0.1683, decode.d6.loss_mask: 0.4233, decode.d6.loss_dice: 0.6418, decode.d7.loss_cls: 0.1644, decode.d7.loss_mask: 0.4234, decode.d7.loss_dice: 0.6406, decode.d8.loss_cls: 0.1633, decode.d8.loss_mask: 0.4216, decode.d8.loss_dice: 0.6414, loss: 13.5195, grad_norm: 46.3120 2023-11-12 15:13:25,057 - mmseg - INFO - Iter [118400/160000] lr: 2.600e-05, eta: 5:47:10, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1676, decode.loss_mask: 0.4234, decode.loss_dice: 0.6632, decode.d0.loss_cls: 1.1542, decode.d0.loss_mask: 0.4559, decode.d0.loss_dice: 0.7152, decode.d1.loss_cls: 0.2308, decode.d1.loss_mask: 0.4367, decode.d1.loss_dice: 0.6958, decode.d2.loss_cls: 0.2045, decode.d2.loss_mask: 0.4295, decode.d2.loss_dice: 0.6755, decode.d3.loss_cls: 0.1858, decode.d3.loss_mask: 0.4262, decode.d3.loss_dice: 0.6632, decode.d4.loss_cls: 0.1793, decode.d4.loss_mask: 0.4261, decode.d4.loss_dice: 0.6636, decode.d5.loss_cls: 0.1703, decode.d5.loss_mask: 0.4254, decode.d5.loss_dice: 0.6651, decode.d6.loss_cls: 0.1737, decode.d6.loss_mask: 0.4252, decode.d6.loss_dice: 0.6614, decode.d7.loss_cls: 0.1689, decode.d7.loss_mask: 0.4243, decode.d7.loss_dice: 0.6629, decode.d8.loss_cls: 0.1684, decode.d8.loss_mask: 0.4240, decode.d8.loss_dice: 0.6617, loss: 13.8280, grad_norm: 48.5853 2023-11-12 15:13:48,864 - mmseg - INFO - Iter [118450/160000] lr: 2.597e-05, eta: 5:46:44, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1752, decode.loss_mask: 0.4502, decode.loss_dice: 0.6752, decode.d0.loss_cls: 1.1191, decode.d0.loss_mask: 0.4870, decode.d0.loss_dice: 0.7270, decode.d1.loss_cls: 0.2389, decode.d1.loss_mask: 0.4643, decode.d1.loss_dice: 0.7030, decode.d2.loss_cls: 0.2056, decode.d2.loss_mask: 0.4574, decode.d2.loss_dice: 0.6885, decode.d3.loss_cls: 0.1942, decode.d3.loss_mask: 0.4530, decode.d3.loss_dice: 0.6832, decode.d4.loss_cls: 0.1854, decode.d4.loss_mask: 0.4522, decode.d4.loss_dice: 0.6797, decode.d5.loss_cls: 0.1778, decode.d5.loss_mask: 0.4537, decode.d5.loss_dice: 0.6771, decode.d6.loss_cls: 0.1803, decode.d6.loss_mask: 0.4529, decode.d6.loss_dice: 0.6752, decode.d7.loss_cls: 0.1762, decode.d7.loss_mask: 0.4531, decode.d7.loss_dice: 0.6772, decode.d8.loss_cls: 0.1751, decode.d8.loss_mask: 0.4533, decode.d8.loss_dice: 0.6740, loss: 14.2654, grad_norm: 48.6147 2023-11-12 15:14:12,639 - mmseg - INFO - Iter [118500/160000] lr: 2.594e-05, eta: 5:46:19, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1419, decode.loss_mask: 0.4317, decode.loss_dice: 0.6362, decode.d0.loss_cls: 1.1161, decode.d0.loss_mask: 0.4619, decode.d0.loss_dice: 0.6862, decode.d1.loss_cls: 0.2100, decode.d1.loss_mask: 0.4447, decode.d1.loss_dice: 0.6657, decode.d2.loss_cls: 0.1738, decode.d2.loss_mask: 0.4394, decode.d2.loss_dice: 0.6527, decode.d3.loss_cls: 0.1656, decode.d3.loss_mask: 0.4328, decode.d3.loss_dice: 0.6419, decode.d4.loss_cls: 0.1578, decode.d4.loss_mask: 0.4327, decode.d4.loss_dice: 0.6406, decode.d5.loss_cls: 0.1546, decode.d5.loss_mask: 0.4323, decode.d5.loss_dice: 0.6395, decode.d6.loss_cls: 0.1488, decode.d6.loss_mask: 0.4330, decode.d6.loss_dice: 0.6373, decode.d7.loss_cls: 0.1477, decode.d7.loss_mask: 0.4311, decode.d7.loss_dice: 0.6358, decode.d8.loss_cls: 0.1448, decode.d8.loss_mask: 0.4313, decode.d8.loss_dice: 0.6310, loss: 13.3990, grad_norm: 44.7125 2023-11-12 15:14:36,559 - mmseg - INFO - Iter [118550/160000] lr: 2.591e-05, eta: 5:45:53, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1614, decode.loss_mask: 0.4232, decode.loss_dice: 0.6437, decode.d0.loss_cls: 1.1604, decode.d0.loss_mask: 0.4572, decode.d0.loss_dice: 0.6931, decode.d1.loss_cls: 0.2201, decode.d1.loss_mask: 0.4372, decode.d1.loss_dice: 0.6718, decode.d2.loss_cls: 0.1951, decode.d2.loss_mask: 0.4310, decode.d2.loss_dice: 0.6595, decode.d3.loss_cls: 0.1790, decode.d3.loss_mask: 0.4267, decode.d3.loss_dice: 0.6491, decode.d4.loss_cls: 0.1716, decode.d4.loss_mask: 0.4259, decode.d4.loss_dice: 0.6492, decode.d5.loss_cls: 0.1648, decode.d5.loss_mask: 0.4267, decode.d5.loss_dice: 0.6449, decode.d6.loss_cls: 0.1671, decode.d6.loss_mask: 0.4246, decode.d6.loss_dice: 0.6413, decode.d7.loss_cls: 0.1667, decode.d7.loss_mask: 0.4244, decode.d7.loss_dice: 0.6412, decode.d8.loss_cls: 0.1632, decode.d8.loss_mask: 0.4242, decode.d8.loss_dice: 0.6448, loss: 13.5891, grad_norm: 46.4169 2023-11-12 15:15:00,490 - mmseg - INFO - Iter [118600/160000] lr: 2.588e-05, eta: 5:45:28, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1641, decode.loss_mask: 0.4213, decode.loss_dice: 0.6457, decode.d0.loss_cls: 1.1053, decode.d0.loss_mask: 0.4517, decode.d0.loss_dice: 0.6937, decode.d1.loss_cls: 0.2222, decode.d1.loss_mask: 0.4344, decode.d1.loss_dice: 0.6738, decode.d2.loss_cls: 0.1931, decode.d2.loss_mask: 0.4270, decode.d2.loss_dice: 0.6600, decode.d3.loss_cls: 0.1727, decode.d3.loss_mask: 0.4269, decode.d3.loss_dice: 0.6489, decode.d4.loss_cls: 0.1717, decode.d4.loss_mask: 0.4257, decode.d4.loss_dice: 0.6451, decode.d5.loss_cls: 0.1655, decode.d5.loss_mask: 0.4239, decode.d5.loss_dice: 0.6514, decode.d6.loss_cls: 0.1656, decode.d6.loss_mask: 0.4238, decode.d6.loss_dice: 0.6455, decode.d7.loss_cls: 0.1620, decode.d7.loss_mask: 0.4228, decode.d7.loss_dice: 0.6465, decode.d8.loss_cls: 0.1596, decode.d8.loss_mask: 0.4225, decode.d8.loss_dice: 0.6470, loss: 13.5194, grad_norm: 43.1057 2023-11-12 15:15:24,400 - mmseg - INFO - Iter [118650/160000] lr: 2.584e-05, eta: 5:45:02, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1679, decode.loss_mask: 0.4301, decode.loss_dice: 0.6546, decode.d0.loss_cls: 1.1391, decode.d0.loss_mask: 0.4600, decode.d0.loss_dice: 0.7053, decode.d1.loss_cls: 0.2197, decode.d1.loss_mask: 0.4428, decode.d1.loss_dice: 0.6823, decode.d2.loss_cls: 0.1930, decode.d2.loss_mask: 0.4344, decode.d2.loss_dice: 0.6727, decode.d3.loss_cls: 0.1845, decode.d3.loss_mask: 0.4333, decode.d3.loss_dice: 0.6663, decode.d4.loss_cls: 0.1799, decode.d4.loss_mask: 0.4325, decode.d4.loss_dice: 0.6579, decode.d5.loss_cls: 0.1770, decode.d5.loss_mask: 0.4304, decode.d5.loss_dice: 0.6603, decode.d6.loss_cls: 0.1711, decode.d6.loss_mask: 0.4318, decode.d6.loss_dice: 0.6576, decode.d7.loss_cls: 0.1715, decode.d7.loss_mask: 0.4303, decode.d7.loss_dice: 0.6506, decode.d8.loss_cls: 0.1685, decode.d8.loss_mask: 0.4300, decode.d8.loss_dice: 0.6587, loss: 13.7940, grad_norm: 46.3807 2023-11-12 15:15:48,421 - mmseg - INFO - Iter [118700/160000] lr: 2.581e-05, eta: 5:44:37, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1571, decode.loss_mask: 0.4213, decode.loss_dice: 0.6491, decode.d0.loss_cls: 1.1035, decode.d0.loss_mask: 0.4482, decode.d0.loss_dice: 0.7028, decode.d1.loss_cls: 0.2258, decode.d1.loss_mask: 0.4312, decode.d1.loss_dice: 0.6731, decode.d2.loss_cls: 0.1883, decode.d2.loss_mask: 0.4247, decode.d2.loss_dice: 0.6599, decode.d3.loss_cls: 0.1737, decode.d3.loss_mask: 0.4235, decode.d3.loss_dice: 0.6515, decode.d4.loss_cls: 0.1677, decode.d4.loss_mask: 0.4201, decode.d4.loss_dice: 0.6540, decode.d5.loss_cls: 0.1670, decode.d5.loss_mask: 0.4191, decode.d5.loss_dice: 0.6492, decode.d6.loss_cls: 0.1628, decode.d6.loss_mask: 0.4217, decode.d6.loss_dice: 0.6489, decode.d7.loss_cls: 0.1583, decode.d7.loss_mask: 0.4201, decode.d7.loss_dice: 0.6464, decode.d8.loss_cls: 0.1588, decode.d8.loss_mask: 0.4208, decode.d8.loss_dice: 0.6479, loss: 13.4968, grad_norm: 46.6603 2023-11-12 15:16:14,436 - mmseg - INFO - Iter [118750/160000] lr: 2.578e-05, eta: 5:44:12, time: 0.520, data_time: 0.057, memory: 41146, decode.loss_cls: 0.1746, decode.loss_mask: 0.4311, decode.loss_dice: 0.6545, decode.d0.loss_cls: 1.1318, decode.d0.loss_mask: 0.4625, decode.d0.loss_dice: 0.7104, decode.d1.loss_cls: 0.2414, decode.d1.loss_mask: 0.4458, decode.d1.loss_dice: 0.6855, decode.d2.loss_cls: 0.2022, decode.d2.loss_mask: 0.4373, decode.d2.loss_dice: 0.6702, decode.d3.loss_cls: 0.1869, decode.d3.loss_mask: 0.4341, decode.d3.loss_dice: 0.6624, decode.d4.loss_cls: 0.1842, decode.d4.loss_mask: 0.4332, decode.d4.loss_dice: 0.6618, decode.d5.loss_cls: 0.1748, decode.d5.loss_mask: 0.4333, decode.d5.loss_dice: 0.6574, decode.d6.loss_cls: 0.1782, decode.d6.loss_mask: 0.4327, decode.d6.loss_dice: 0.6563, decode.d7.loss_cls: 0.1707, decode.d7.loss_mask: 0.4328, decode.d7.loss_dice: 0.6528, decode.d8.loss_cls: 0.1772, decode.d8.loss_mask: 0.4325, decode.d8.loss_dice: 0.6553, loss: 13.8639, grad_norm: 45.0247 2023-11-12 15:16:38,391 - mmseg - INFO - Iter [118800/160000] lr: 2.575e-05, eta: 5:43:47, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1423, decode.loss_mask: 0.4475, decode.loss_dice: 0.6477, decode.d0.loss_cls: 1.0949, decode.d0.loss_mask: 0.4800, decode.d0.loss_dice: 0.6985, decode.d1.loss_cls: 0.2037, decode.d1.loss_mask: 0.4614, decode.d1.loss_dice: 0.6778, decode.d2.loss_cls: 0.1715, decode.d2.loss_mask: 0.4544, decode.d2.loss_dice: 0.6634, decode.d3.loss_cls: 0.1620, decode.d3.loss_mask: 0.4505, decode.d3.loss_dice: 0.6535, decode.d4.loss_cls: 0.1562, decode.d4.loss_mask: 0.4489, decode.d4.loss_dice: 0.6503, decode.d5.loss_cls: 0.1506, decode.d5.loss_mask: 0.4488, decode.d5.loss_dice: 0.6521, decode.d6.loss_cls: 0.1508, decode.d6.loss_mask: 0.4492, decode.d6.loss_dice: 0.6469, decode.d7.loss_cls: 0.1464, decode.d7.loss_mask: 0.4478, decode.d7.loss_dice: 0.6487, decode.d8.loss_cls: 0.1450, decode.d8.loss_mask: 0.4485, decode.d8.loss_dice: 0.6513, loss: 13.6504, grad_norm: 46.3822 2023-11-12 15:17:02,598 - mmseg - INFO - Iter [118850/160000] lr: 2.572e-05, eta: 5:43:22, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1508, decode.loss_mask: 0.4191, decode.loss_dice: 0.6415, decode.d0.loss_cls: 1.1381, decode.d0.loss_mask: 0.4518, decode.d0.loss_dice: 0.7025, decode.d1.loss_cls: 0.2255, decode.d1.loss_mask: 0.4308, decode.d1.loss_dice: 0.6732, decode.d2.loss_cls: 0.1868, decode.d2.loss_mask: 0.4258, decode.d2.loss_dice: 0.6562, decode.d3.loss_cls: 0.1700, decode.d3.loss_mask: 0.4218, decode.d3.loss_dice: 0.6454, decode.d4.loss_cls: 0.1605, decode.d4.loss_mask: 0.4215, decode.d4.loss_dice: 0.6467, decode.d5.loss_cls: 0.1579, decode.d5.loss_mask: 0.4205, decode.d5.loss_dice: 0.6430, decode.d6.loss_cls: 0.1555, decode.d6.loss_mask: 0.4193, decode.d6.loss_dice: 0.6371, decode.d7.loss_cls: 0.1541, decode.d7.loss_mask: 0.4194, decode.d7.loss_dice: 0.6404, decode.d8.loss_cls: 0.1554, decode.d8.loss_mask: 0.4183, decode.d8.loss_dice: 0.6396, loss: 13.4285, grad_norm: 45.1698 2023-11-12 15:17:26,448 - mmseg - INFO - Iter [118900/160000] lr: 2.569e-05, eta: 5:42:56, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1605, decode.loss_mask: 0.4141, decode.loss_dice: 0.6634, decode.d0.loss_cls: 1.1568, decode.d0.loss_mask: 0.4427, decode.d0.loss_dice: 0.7146, decode.d1.loss_cls: 0.2212, decode.d1.loss_mask: 0.4255, decode.d1.loss_dice: 0.6855, decode.d2.loss_cls: 0.1881, decode.d2.loss_mask: 0.4207, decode.d2.loss_dice: 0.6753, decode.d3.loss_cls: 0.1757, decode.d3.loss_mask: 0.4178, decode.d3.loss_dice: 0.6670, decode.d4.loss_cls: 0.1697, decode.d4.loss_mask: 0.4166, decode.d4.loss_dice: 0.6685, decode.d5.loss_cls: 0.1701, decode.d5.loss_mask: 0.4154, decode.d5.loss_dice: 0.6647, decode.d6.loss_cls: 0.1680, decode.d6.loss_mask: 0.4139, decode.d6.loss_dice: 0.6630, decode.d7.loss_cls: 0.1669, decode.d7.loss_mask: 0.4140, decode.d7.loss_dice: 0.6624, decode.d8.loss_cls: 0.1622, decode.d8.loss_mask: 0.4140, decode.d8.loss_dice: 0.6668, loss: 13.6652, grad_norm: 44.8973 2023-11-12 15:17:50,259 - mmseg - INFO - Iter [118950/160000] lr: 2.566e-05, eta: 5:42:31, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1531, decode.loss_mask: 0.4258, decode.loss_dice: 0.6387, decode.d0.loss_cls: 1.1032, decode.d0.loss_mask: 0.4551, decode.d0.loss_dice: 0.6958, decode.d1.loss_cls: 0.2221, decode.d1.loss_mask: 0.4349, decode.d1.loss_dice: 0.6674, decode.d2.loss_cls: 0.1866, decode.d2.loss_mask: 0.4301, decode.d2.loss_dice: 0.6495, decode.d3.loss_cls: 0.1736, decode.d3.loss_mask: 0.4280, decode.d3.loss_dice: 0.6404, decode.d4.loss_cls: 0.1661, decode.d4.loss_mask: 0.4266, decode.d4.loss_dice: 0.6427, decode.d5.loss_cls: 0.1587, decode.d5.loss_mask: 0.4272, decode.d5.loss_dice: 0.6392, decode.d6.loss_cls: 0.1553, decode.d6.loss_mask: 0.4281, decode.d6.loss_dice: 0.6395, decode.d7.loss_cls: 0.1538, decode.d7.loss_mask: 0.4262, decode.d7.loss_dice: 0.6387, decode.d8.loss_cls: 0.1542, decode.d8.loss_mask: 0.4250, decode.d8.loss_dice: 0.6336, loss: 13.4193, grad_norm: 47.5239 2023-11-12 15:18:14,023 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 15:18:14,023 - mmseg - INFO - Iter [119000/160000] lr: 2.563e-05, eta: 5:42:05, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1492, decode.loss_mask: 0.4485, decode.loss_dice: 0.6435, decode.d0.loss_cls: 1.0979, decode.d0.loss_mask: 0.4831, decode.d0.loss_dice: 0.6931, decode.d1.loss_cls: 0.2108, decode.d1.loss_mask: 0.4617, decode.d1.loss_dice: 0.6772, decode.d2.loss_cls: 0.1724, decode.d2.loss_mask: 0.4550, decode.d2.loss_dice: 0.6635, decode.d3.loss_cls: 0.1599, decode.d3.loss_mask: 0.4519, decode.d3.loss_dice: 0.6497, decode.d4.loss_cls: 0.1558, decode.d4.loss_mask: 0.4515, decode.d4.loss_dice: 0.6453, decode.d5.loss_cls: 0.1537, decode.d5.loss_mask: 0.4509, decode.d5.loss_dice: 0.6452, decode.d6.loss_cls: 0.1530, decode.d6.loss_mask: 0.4500, decode.d6.loss_dice: 0.6423, decode.d7.loss_cls: 0.1498, decode.d7.loss_mask: 0.4506, decode.d7.loss_dice: 0.6442, decode.d8.loss_cls: 0.1530, decode.d8.loss_mask: 0.4488, decode.d8.loss_dice: 0.6445, loss: 13.6561, grad_norm: 49.9614 2023-11-12 15:18:37,836 - mmseg - INFO - Iter [119050/160000] lr: 2.559e-05, eta: 5:41:40, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1491, decode.loss_mask: 0.4159, decode.loss_dice: 0.6375, decode.d0.loss_cls: 1.1313, decode.d0.loss_mask: 0.4452, decode.d0.loss_dice: 0.6880, decode.d1.loss_cls: 0.2088, decode.d1.loss_mask: 0.4279, decode.d1.loss_dice: 0.6645, decode.d2.loss_cls: 0.1769, decode.d2.loss_mask: 0.4195, decode.d2.loss_dice: 0.6530, decode.d3.loss_cls: 0.1679, decode.d3.loss_mask: 0.4182, decode.d3.loss_dice: 0.6404, decode.d4.loss_cls: 0.1560, decode.d4.loss_mask: 0.4169, decode.d4.loss_dice: 0.6416, decode.d5.loss_cls: 0.1548, decode.d5.loss_mask: 0.4157, decode.d5.loss_dice: 0.6395, decode.d6.loss_cls: 0.1528, decode.d6.loss_mask: 0.4145, decode.d6.loss_dice: 0.6373, decode.d7.loss_cls: 0.1515, decode.d7.loss_mask: 0.4151, decode.d7.loss_dice: 0.6410, decode.d8.loss_cls: 0.1526, decode.d8.loss_mask: 0.4147, decode.d8.loss_dice: 0.6383, loss: 13.2864, grad_norm: 45.0207 2023-11-12 15:19:01,612 - mmseg - INFO - Iter [119100/160000] lr: 2.556e-05, eta: 5:41:14, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1628, decode.loss_mask: 0.4243, decode.loss_dice: 0.6526, decode.d0.loss_cls: 1.1118, decode.d0.loss_mask: 0.4572, decode.d0.loss_dice: 0.7089, decode.d1.loss_cls: 0.2266, decode.d1.loss_mask: 0.4355, decode.d1.loss_dice: 0.6826, decode.d2.loss_cls: 0.1955, decode.d2.loss_mask: 0.4304, decode.d2.loss_dice: 0.6670, decode.d3.loss_cls: 0.1791, decode.d3.loss_mask: 0.4268, decode.d3.loss_dice: 0.6628, decode.d4.loss_cls: 0.1738, decode.d4.loss_mask: 0.4258, decode.d4.loss_dice: 0.6587, decode.d5.loss_cls: 0.1657, decode.d5.loss_mask: 0.4263, decode.d5.loss_dice: 0.6584, decode.d6.loss_cls: 0.1716, decode.d6.loss_mask: 0.4245, decode.d6.loss_dice: 0.6508, decode.d7.loss_cls: 0.1633, decode.d7.loss_mask: 0.4241, decode.d7.loss_dice: 0.6570, decode.d8.loss_cls: 0.1664, decode.d8.loss_mask: 0.4239, decode.d8.loss_dice: 0.6553, loss: 13.6697, grad_norm: 43.6710 2023-11-12 15:19:25,311 - mmseg - INFO - Iter [119150/160000] lr: 2.553e-05, eta: 5:40:49, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1532, decode.loss_mask: 0.4306, decode.loss_dice: 0.6395, decode.d0.loss_cls: 1.1248, decode.d0.loss_mask: 0.4627, decode.d0.loss_dice: 0.6961, decode.d1.loss_cls: 0.2171, decode.d1.loss_mask: 0.4431, decode.d1.loss_dice: 0.6702, decode.d2.loss_cls: 0.1888, decode.d2.loss_mask: 0.4339, decode.d2.loss_dice: 0.6534, decode.d3.loss_cls: 0.1737, decode.d3.loss_mask: 0.4334, decode.d3.loss_dice: 0.6429, decode.d4.loss_cls: 0.1691, decode.d4.loss_mask: 0.4327, decode.d4.loss_dice: 0.6438, decode.d5.loss_cls: 0.1578, decode.d5.loss_mask: 0.4327, decode.d5.loss_dice: 0.6453, decode.d6.loss_cls: 0.1596, decode.d6.loss_mask: 0.4319, decode.d6.loss_dice: 0.6407, decode.d7.loss_cls: 0.1543, decode.d7.loss_mask: 0.4313, decode.d7.loss_dice: 0.6380, decode.d8.loss_cls: 0.1524, decode.d8.loss_mask: 0.4308, decode.d8.loss_dice: 0.6415, loss: 13.5250, grad_norm: 45.7527 2023-11-12 15:19:49,254 - mmseg - INFO - Iter [119200/160000] lr: 2.550e-05, eta: 5:40:23, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1647, decode.loss_mask: 0.4340, decode.loss_dice: 0.6529, decode.d0.loss_cls: 1.1255, decode.d0.loss_mask: 0.4655, decode.d0.loss_dice: 0.7033, decode.d1.loss_cls: 0.2316, decode.d1.loss_mask: 0.4473, decode.d1.loss_dice: 0.6805, decode.d2.loss_cls: 0.1960, decode.d2.loss_mask: 0.4414, decode.d2.loss_dice: 0.6711, decode.d3.loss_cls: 0.1920, decode.d3.loss_mask: 0.4370, decode.d3.loss_dice: 0.6562, decode.d4.loss_cls: 0.1808, decode.d4.loss_mask: 0.4364, decode.d4.loss_dice: 0.6544, decode.d5.loss_cls: 0.1768, decode.d5.loss_mask: 0.4346, decode.d5.loss_dice: 0.6540, decode.d6.loss_cls: 0.1721, decode.d6.loss_mask: 0.4344, decode.d6.loss_dice: 0.6568, decode.d7.loss_cls: 0.1714, decode.d7.loss_mask: 0.4339, decode.d7.loss_dice: 0.6568, decode.d8.loss_cls: 0.1696, decode.d8.loss_mask: 0.4336, decode.d8.loss_dice: 0.6560, loss: 13.8205, grad_norm: 47.0926 2023-11-12 15:20:13,237 - mmseg - INFO - Iter [119250/160000] lr: 2.547e-05, eta: 5:39:58, time: 0.480, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1720, decode.loss_mask: 0.4140, decode.loss_dice: 0.6588, decode.d0.loss_cls: 1.1740, decode.d0.loss_mask: 0.4481, decode.d0.loss_dice: 0.7175, decode.d1.loss_cls: 0.2457, decode.d1.loss_mask: 0.4273, decode.d1.loss_dice: 0.6873, decode.d2.loss_cls: 0.2079, decode.d2.loss_mask: 0.4201, decode.d2.loss_dice: 0.6706, decode.d3.loss_cls: 0.1893, decode.d3.loss_mask: 0.4179, decode.d3.loss_dice: 0.6619, decode.d4.loss_cls: 0.1768, decode.d4.loss_mask: 0.4176, decode.d4.loss_dice: 0.6651, decode.d5.loss_cls: 0.1750, decode.d5.loss_mask: 0.4159, decode.d5.loss_dice: 0.6612, decode.d6.loss_cls: 0.1725, decode.d6.loss_mask: 0.4149, decode.d6.loss_dice: 0.6574, decode.d7.loss_cls: 0.1739, decode.d7.loss_mask: 0.4148, decode.d7.loss_dice: 0.6590, decode.d8.loss_cls: 0.1733, decode.d8.loss_mask: 0.4137, decode.d8.loss_dice: 0.6575, loss: 13.7609, grad_norm: 52.7004 2023-11-12 15:20:37,131 - mmseg - INFO - Iter [119300/160000] lr: 2.544e-05, eta: 5:39:33, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1567, decode.loss_mask: 0.4253, decode.loss_dice: 0.6420, decode.d0.loss_cls: 1.1340, decode.d0.loss_mask: 0.4593, decode.d0.loss_dice: 0.6963, decode.d1.loss_cls: 0.2225, decode.d1.loss_mask: 0.4390, decode.d1.loss_dice: 0.6783, decode.d2.loss_cls: 0.1842, decode.d2.loss_mask: 0.4314, decode.d2.loss_dice: 0.6598, decode.d3.loss_cls: 0.1713, decode.d3.loss_mask: 0.4260, decode.d3.loss_dice: 0.6464, decode.d4.loss_cls: 0.1683, decode.d4.loss_mask: 0.4255, decode.d4.loss_dice: 0.6435, decode.d5.loss_cls: 0.1554, decode.d5.loss_mask: 0.4247, decode.d5.loss_dice: 0.6462, decode.d6.loss_cls: 0.1564, decode.d6.loss_mask: 0.4257, decode.d6.loss_dice: 0.6460, decode.d7.loss_cls: 0.1532, decode.d7.loss_mask: 0.4261, decode.d7.loss_dice: 0.6433, decode.d8.loss_cls: 0.1521, decode.d8.loss_mask: 0.4256, decode.d8.loss_dice: 0.6434, loss: 13.5078, grad_norm: 43.0006 2023-11-12 15:21:00,887 - mmseg - INFO - Iter [119350/160000] lr: 2.541e-05, eta: 5:39:07, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1568, decode.loss_mask: 0.4280, decode.loss_dice: 0.6359, decode.d0.loss_cls: 1.0992, decode.d0.loss_mask: 0.4584, decode.d0.loss_dice: 0.6919, decode.d1.loss_cls: 0.2150, decode.d1.loss_mask: 0.4412, decode.d1.loss_dice: 0.6675, decode.d2.loss_cls: 0.1866, decode.d2.loss_mask: 0.4322, decode.d2.loss_dice: 0.6523, decode.d3.loss_cls: 0.1750, decode.d3.loss_mask: 0.4302, decode.d3.loss_dice: 0.6410, decode.d4.loss_cls: 0.1641, decode.d4.loss_mask: 0.4277, decode.d4.loss_dice: 0.6416, decode.d5.loss_cls: 0.1601, decode.d5.loss_mask: 0.4274, decode.d5.loss_dice: 0.6413, decode.d6.loss_cls: 0.1620, decode.d6.loss_mask: 0.4285, decode.d6.loss_dice: 0.6381, decode.d7.loss_cls: 0.1590, decode.d7.loss_mask: 0.4293, decode.d7.loss_dice: 0.6373, decode.d8.loss_cls: 0.1594, decode.d8.loss_mask: 0.4282, decode.d8.loss_dice: 0.6409, loss: 13.4561, grad_norm: 44.1248 2023-11-12 15:21:24,614 - mmseg - INFO - Iter [119400/160000] lr: 2.538e-05, eta: 5:38:42, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1793, decode.loss_mask: 0.4563, decode.loss_dice: 0.6787, decode.d0.loss_cls: 1.1543, decode.d0.loss_mask: 0.4929, decode.d0.loss_dice: 0.7377, decode.d1.loss_cls: 0.2472, decode.d1.loss_mask: 0.4691, decode.d1.loss_dice: 0.7111, decode.d2.loss_cls: 0.2124, decode.d2.loss_mask: 0.4610, decode.d2.loss_dice: 0.6959, decode.d3.loss_cls: 0.1928, decode.d3.loss_mask: 0.4591, decode.d3.loss_dice: 0.6853, decode.d4.loss_cls: 0.1903, decode.d4.loss_mask: 0.4589, decode.d4.loss_dice: 0.6818, decode.d5.loss_cls: 0.1857, decode.d5.loss_mask: 0.4560, decode.d5.loss_dice: 0.6855, decode.d6.loss_cls: 0.1830, decode.d6.loss_mask: 0.4555, decode.d6.loss_dice: 0.6794, decode.d7.loss_cls: 0.1807, decode.d7.loss_mask: 0.4554, decode.d7.loss_dice: 0.6814, decode.d8.loss_cls: 0.1834, decode.d8.loss_mask: 0.4544, decode.d8.loss_dice: 0.6794, loss: 14.4439, grad_norm: 51.5317 2023-11-12 15:21:48,398 - mmseg - INFO - Iter [119450/160000] lr: 2.534e-05, eta: 5:38:16, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1369, decode.loss_mask: 0.4089, decode.loss_dice: 0.6266, decode.d0.loss_cls: 1.0925, decode.d0.loss_mask: 0.4392, decode.d0.loss_dice: 0.6839, decode.d1.loss_cls: 0.1966, decode.d1.loss_mask: 0.4214, decode.d1.loss_dice: 0.6543, decode.d2.loss_cls: 0.1689, decode.d2.loss_mask: 0.4127, decode.d2.loss_dice: 0.6420, decode.d3.loss_cls: 0.1562, decode.d3.loss_mask: 0.4105, decode.d3.loss_dice: 0.6340, decode.d4.loss_cls: 0.1516, decode.d4.loss_mask: 0.4095, decode.d4.loss_dice: 0.6318, decode.d5.loss_cls: 0.1490, decode.d5.loss_mask: 0.4085, decode.d5.loss_dice: 0.6286, decode.d6.loss_cls: 0.1454, decode.d6.loss_mask: 0.4090, decode.d6.loss_dice: 0.6293, decode.d7.loss_cls: 0.1426, decode.d7.loss_mask: 0.4086, decode.d7.loss_dice: 0.6266, decode.d8.loss_cls: 0.1413, decode.d8.loss_mask: 0.4088, decode.d8.loss_dice: 0.6261, loss: 13.0014, grad_norm: 45.8207 2023-11-12 15:22:12,348 - mmseg - INFO - Iter [119500/160000] lr: 2.531e-05, eta: 5:37:51, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1669, decode.loss_mask: 0.4062, decode.loss_dice: 0.6513, decode.d0.loss_cls: 1.1488, decode.d0.loss_mask: 0.4384, decode.d0.loss_dice: 0.7105, decode.d1.loss_cls: 0.2347, decode.d1.loss_mask: 0.4195, decode.d1.loss_dice: 0.6851, decode.d2.loss_cls: 0.2011, decode.d2.loss_mask: 0.4106, decode.d2.loss_dice: 0.6663, decode.d3.loss_cls: 0.1841, decode.d3.loss_mask: 0.4093, decode.d3.loss_dice: 0.6573, decode.d4.loss_cls: 0.1787, decode.d4.loss_mask: 0.4091, decode.d4.loss_dice: 0.6561, decode.d5.loss_cls: 0.1726, decode.d5.loss_mask: 0.4069, decode.d5.loss_dice: 0.6573, decode.d6.loss_cls: 0.1712, decode.d6.loss_mask: 0.4068, decode.d6.loss_dice: 0.6540, decode.d7.loss_cls: 0.1676, decode.d7.loss_mask: 0.4065, decode.d7.loss_dice: 0.6561, decode.d8.loss_cls: 0.1674, decode.d8.loss_mask: 0.4060, decode.d8.loss_dice: 0.6521, loss: 13.5586, grad_norm: 44.9457 2023-11-12 15:22:36,119 - mmseg - INFO - Iter [119550/160000] lr: 2.528e-05, eta: 5:37:25, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1671, decode.loss_mask: 0.4311, decode.loss_dice: 0.6502, decode.d0.loss_cls: 1.1523, decode.d0.loss_mask: 0.4636, decode.d0.loss_dice: 0.7107, decode.d1.loss_cls: 0.2275, decode.d1.loss_mask: 0.4429, decode.d1.loss_dice: 0.6852, decode.d2.loss_cls: 0.2014, decode.d2.loss_mask: 0.4372, decode.d2.loss_dice: 0.6675, decode.d3.loss_cls: 0.1916, decode.d3.loss_mask: 0.4347, decode.d3.loss_dice: 0.6555, decode.d4.loss_cls: 0.1779, decode.d4.loss_mask: 0.4348, decode.d4.loss_dice: 0.6497, decode.d5.loss_cls: 0.1741, decode.d5.loss_mask: 0.4329, decode.d5.loss_dice: 0.6511, decode.d6.loss_cls: 0.1767, decode.d6.loss_mask: 0.4309, decode.d6.loss_dice: 0.6497, decode.d7.loss_cls: 0.1722, decode.d7.loss_mask: 0.4307, decode.d7.loss_dice: 0.6513, decode.d8.loss_cls: 0.1687, decode.d8.loss_mask: 0.4321, decode.d8.loss_dice: 0.6499, loss: 13.8012, grad_norm: 48.7603 2023-11-12 15:23:00,036 - mmseg - INFO - Iter [119600/160000] lr: 2.525e-05, eta: 5:37:00, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1614, decode.loss_mask: 0.4263, decode.loss_dice: 0.6453, decode.d0.loss_cls: 1.1209, decode.d0.loss_mask: 0.4577, decode.d0.loss_dice: 0.7063, decode.d1.loss_cls: 0.2318, decode.d1.loss_mask: 0.4382, decode.d1.loss_dice: 0.6811, decode.d2.loss_cls: 0.1987, decode.d2.loss_mask: 0.4308, decode.d2.loss_dice: 0.6644, decode.d3.loss_cls: 0.1753, decode.d3.loss_mask: 0.4286, decode.d3.loss_dice: 0.6553, decode.d4.loss_cls: 0.1724, decode.d4.loss_mask: 0.4285, decode.d4.loss_dice: 0.6535, decode.d5.loss_cls: 0.1687, decode.d5.loss_mask: 0.4276, decode.d5.loss_dice: 0.6557, decode.d6.loss_cls: 0.1648, decode.d6.loss_mask: 0.4278, decode.d6.loss_dice: 0.6531, decode.d7.loss_cls: 0.1654, decode.d7.loss_mask: 0.4270, decode.d7.loss_dice: 0.6508, decode.d8.loss_cls: 0.1642, decode.d8.loss_mask: 0.4260, decode.d8.loss_dice: 0.6513, loss: 13.6589, grad_norm: 47.9107 2023-11-12 15:23:23,997 - mmseg - INFO - Iter [119650/160000] lr: 2.522e-05, eta: 5:36:35, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1618, decode.loss_mask: 0.4326, decode.loss_dice: 0.6551, decode.d0.loss_cls: 1.1328, decode.d0.loss_mask: 0.4639, decode.d0.loss_dice: 0.7063, decode.d1.loss_cls: 0.2216, decode.d1.loss_mask: 0.4439, decode.d1.loss_dice: 0.6777, decode.d2.loss_cls: 0.1857, decode.d2.loss_mask: 0.4385, decode.d2.loss_dice: 0.6674, decode.d3.loss_cls: 0.1801, decode.d3.loss_mask: 0.4349, decode.d3.loss_dice: 0.6596, decode.d4.loss_cls: 0.1748, decode.d4.loss_mask: 0.4342, decode.d4.loss_dice: 0.6562, decode.d5.loss_cls: 0.1654, decode.d5.loss_mask: 0.4339, decode.d5.loss_dice: 0.6627, decode.d6.loss_cls: 0.1648, decode.d6.loss_mask: 0.4330, decode.d6.loss_dice: 0.6545, decode.d7.loss_cls: 0.1624, decode.d7.loss_mask: 0.4330, decode.d7.loss_dice: 0.6542, decode.d8.loss_cls: 0.1633, decode.d8.loss_mask: 0.4327, decode.d8.loss_dice: 0.6550, loss: 13.7421, grad_norm: 45.2419 2023-11-12 15:23:47,892 - mmseg - INFO - Iter [119700/160000] lr: 2.519e-05, eta: 5:36:09, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1749, decode.loss_mask: 0.4112, decode.loss_dice: 0.6476, decode.d0.loss_cls: 1.1309, decode.d0.loss_mask: 0.4431, decode.d0.loss_dice: 0.6986, decode.d1.loss_cls: 0.2276, decode.d1.loss_mask: 0.4244, decode.d1.loss_dice: 0.6768, decode.d2.loss_cls: 0.2005, decode.d2.loss_mask: 0.4178, decode.d2.loss_dice: 0.6642, decode.d3.loss_cls: 0.1932, decode.d3.loss_mask: 0.4137, decode.d3.loss_dice: 0.6539, decode.d4.loss_cls: 0.1858, decode.d4.loss_mask: 0.4139, decode.d4.loss_dice: 0.6501, decode.d5.loss_cls: 0.1763, decode.d5.loss_mask: 0.4123, decode.d5.loss_dice: 0.6572, decode.d6.loss_cls: 0.1767, decode.d6.loss_mask: 0.4113, decode.d6.loss_dice: 0.6459, decode.d7.loss_cls: 0.1718, decode.d7.loss_mask: 0.4120, decode.d7.loss_dice: 0.6473, decode.d8.loss_cls: 0.1749, decode.d8.loss_mask: 0.4109, decode.d8.loss_dice: 0.6455, loss: 13.5705, grad_norm: 43.1712 2023-11-12 15:24:11,705 - mmseg - INFO - Iter [119750/160000] lr: 2.516e-05, eta: 5:35:44, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1606, decode.loss_mask: 0.4178, decode.loss_dice: 0.6246, decode.d0.loss_cls: 1.1280, decode.d0.loss_mask: 0.4434, decode.d0.loss_dice: 0.6767, decode.d1.loss_cls: 0.2141, decode.d1.loss_mask: 0.4276, decode.d1.loss_dice: 0.6510, decode.d2.loss_cls: 0.1855, decode.d2.loss_mask: 0.4192, decode.d2.loss_dice: 0.6418, decode.d3.loss_cls: 0.1802, decode.d3.loss_mask: 0.4170, decode.d3.loss_dice: 0.6302, decode.d4.loss_cls: 0.1708, decode.d4.loss_mask: 0.4164, decode.d4.loss_dice: 0.6282, decode.d5.loss_cls: 0.1690, decode.d5.loss_mask: 0.4156, decode.d5.loss_dice: 0.6247, decode.d6.loss_cls: 0.1654, decode.d6.loss_mask: 0.4155, decode.d6.loss_dice: 0.6216, decode.d7.loss_cls: 0.1603, decode.d7.loss_mask: 0.4151, decode.d7.loss_dice: 0.6258, decode.d8.loss_cls: 0.1554, decode.d8.loss_mask: 0.4154, decode.d8.loss_dice: 0.6252, loss: 13.2422, grad_norm: 43.3244 2023-11-12 15:24:35,544 - mmseg - INFO - Iter [119800/160000] lr: 2.513e-05, eta: 5:35:18, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1696, decode.loss_mask: 0.4105, decode.loss_dice: 0.6382, decode.d0.loss_cls: 1.1300, decode.d0.loss_mask: 0.4409, decode.d0.loss_dice: 0.6882, decode.d1.loss_cls: 0.2246, decode.d1.loss_mask: 0.4260, decode.d1.loss_dice: 0.6686, decode.d2.loss_cls: 0.1971, decode.d2.loss_mask: 0.4180, decode.d2.loss_dice: 0.6533, decode.d3.loss_cls: 0.1866, decode.d3.loss_mask: 0.4134, decode.d3.loss_dice: 0.6429, decode.d4.loss_cls: 0.1803, decode.d4.loss_mask: 0.4133, decode.d4.loss_dice: 0.6414, decode.d5.loss_cls: 0.1725, decode.d5.loss_mask: 0.4138, decode.d5.loss_dice: 0.6378, decode.d6.loss_cls: 0.1723, decode.d6.loss_mask: 0.4120, decode.d6.loss_dice: 0.6341, decode.d7.loss_cls: 0.1681, decode.d7.loss_mask: 0.4125, decode.d7.loss_dice: 0.6410, decode.d8.loss_cls: 0.1636, decode.d8.loss_mask: 0.4122, decode.d8.loss_dice: 0.6400, loss: 13.4229, grad_norm: 44.3163 2023-11-12 15:24:59,303 - mmseg - INFO - Iter [119850/160000] lr: 2.509e-05, eta: 5:34:53, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1784, decode.loss_mask: 0.4169, decode.loss_dice: 0.6536, decode.d0.loss_cls: 1.1684, decode.d0.loss_mask: 0.4471, decode.d0.loss_dice: 0.7153, decode.d1.loss_cls: 0.2417, decode.d1.loss_mask: 0.4284, decode.d1.loss_dice: 0.6751, decode.d2.loss_cls: 0.2124, decode.d2.loss_mask: 0.4198, decode.d2.loss_dice: 0.6671, decode.d3.loss_cls: 0.2015, decode.d3.loss_mask: 0.4181, decode.d3.loss_dice: 0.6538, decode.d4.loss_cls: 0.1913, decode.d4.loss_mask: 0.4179, decode.d4.loss_dice: 0.6583, decode.d5.loss_cls: 0.1855, decode.d5.loss_mask: 0.4180, decode.d5.loss_dice: 0.6580, decode.d6.loss_cls: 0.1786, decode.d6.loss_mask: 0.4174, decode.d6.loss_dice: 0.6546, decode.d7.loss_cls: 0.1791, decode.d7.loss_mask: 0.4165, decode.d7.loss_dice: 0.6526, decode.d8.loss_cls: 0.1778, decode.d8.loss_mask: 0.4163, decode.d8.loss_dice: 0.6548, loss: 13.7742, grad_norm: 49.9924 2023-11-12 15:25:23,108 - mmseg - INFO - Iter [119900/160000] lr: 2.506e-05, eta: 5:34:27, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1598, decode.loss_mask: 0.4245, decode.loss_dice: 0.6422, decode.d0.loss_cls: 1.1410, decode.d0.loss_mask: 0.4557, decode.d0.loss_dice: 0.6966, decode.d1.loss_cls: 0.2266, decode.d1.loss_mask: 0.4363, decode.d1.loss_dice: 0.6702, decode.d2.loss_cls: 0.1863, decode.d2.loss_mask: 0.4309, decode.d2.loss_dice: 0.6595, decode.d3.loss_cls: 0.1799, decode.d3.loss_mask: 0.4268, decode.d3.loss_dice: 0.6459, decode.d4.loss_cls: 0.1701, decode.d4.loss_mask: 0.4282, decode.d4.loss_dice: 0.6534, decode.d5.loss_cls: 0.1640, decode.d5.loss_mask: 0.4273, decode.d5.loss_dice: 0.6465, decode.d6.loss_cls: 0.1617, decode.d6.loss_mask: 0.4256, decode.d6.loss_dice: 0.6468, decode.d7.loss_cls: 0.1629, decode.d7.loss_mask: 0.4256, decode.d7.loss_dice: 0.6444, decode.d8.loss_cls: 0.1574, decode.d8.loss_mask: 0.4247, decode.d8.loss_dice: 0.6456, loss: 13.5664, grad_norm: 44.4837 2023-11-12 15:25:46,735 - mmseg - INFO - Iter [119950/160000] lr: 2.503e-05, eta: 5:34:02, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1660, decode.loss_mask: 0.4384, decode.loss_dice: 0.6577, decode.d0.loss_cls: 1.1141, decode.d0.loss_mask: 0.4722, decode.d0.loss_dice: 0.7143, decode.d1.loss_cls: 0.2208, decode.d1.loss_mask: 0.4515, decode.d1.loss_dice: 0.6875, decode.d2.loss_cls: 0.1927, decode.d2.loss_mask: 0.4424, decode.d2.loss_dice: 0.6808, decode.d3.loss_cls: 0.1789, decode.d3.loss_mask: 0.4403, decode.d3.loss_dice: 0.6623, decode.d4.loss_cls: 0.1792, decode.d4.loss_mask: 0.4394, decode.d4.loss_dice: 0.6666, decode.d5.loss_cls: 0.1809, decode.d5.loss_mask: 0.4374, decode.d5.loss_dice: 0.6637, decode.d6.loss_cls: 0.1751, decode.d6.loss_mask: 0.4374, decode.d6.loss_dice: 0.6595, decode.d7.loss_cls: 0.1717, decode.d7.loss_mask: 0.4374, decode.d7.loss_dice: 0.6616, decode.d8.loss_cls: 0.1706, decode.d8.loss_mask: 0.4387, decode.d8.loss_dice: 0.6571, loss: 13.8962, grad_norm: 47.2704 2023-11-12 15:26:12,877 - mmseg - INFO - Saving checkpoint at 120000 iterations 2023-11-12 15:26:16,529 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 15:26:16,529 - mmseg - INFO - Iter [120000/160000] lr: 2.500e-05, eta: 5:33:38, time: 0.596, data_time: 0.057, memory: 41146, decode.loss_cls: 0.1783, decode.loss_mask: 0.4191, decode.loss_dice: 0.6627, decode.d0.loss_cls: 1.1583, decode.d0.loss_mask: 0.4501, decode.d0.loss_dice: 0.7223, decode.d1.loss_cls: 0.2337, decode.d1.loss_mask: 0.4336, decode.d1.loss_dice: 0.6992, decode.d2.loss_cls: 0.2072, decode.d2.loss_mask: 0.4282, decode.d2.loss_dice: 0.6826, decode.d3.loss_cls: 0.1941, decode.d3.loss_mask: 0.4238, decode.d3.loss_dice: 0.6671, decode.d4.loss_cls: 0.1889, decode.d4.loss_mask: 0.4223, decode.d4.loss_dice: 0.6724, decode.d5.loss_cls: 0.1844, decode.d5.loss_mask: 0.4224, decode.d5.loss_dice: 0.6636, decode.d6.loss_cls: 0.1821, decode.d6.loss_mask: 0.4205, decode.d6.loss_dice: 0.6640, decode.d7.loss_cls: 0.1807, decode.d7.loss_mask: 0.4187, decode.d7.loss_dice: 0.6644, decode.d8.loss_cls: 0.1820, decode.d8.loss_mask: 0.4203, decode.d8.loss_dice: 0.6664, loss: 13.9134, grad_norm: 44.2732 2023-11-12 15:26:35,461 - mmseg - INFO - per class results: 2023-11-12 15:26:35,466 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.29 | 89.08 | | building | 82.43 | 91.72 | | sky | 94.72 | 97.12 | | floor | 83.04 | 91.17 | | tree | 75.27 | 87.34 | | ceiling | 84.64 | 91.17 | | road | 84.85 | 91.27 | | bed | 90.81 | 96.45 | | windowpane | 64.53 | 79.31 | | grass | 63.56 | 73.19 | | cabinet | 64.27 | 75.97 | | sidewalk | 66.87 | 80.14 | | person | 84.83 | 93.01 | | earth | 38.69 | 57.26 | | door | 50.09 | 64.21 | | table | 68.23 | 82.47 | | mountain | 67.07 | 78.72 | | plant | 51.68 | 68.67 | | curtain | 77.66 | 88.34 | | chair | 62.14 | 72.45 | | car | 86.05 | 92.38 | | water | 57.12 | 72.57 | | painting | 74.84 | 87.54 | | sofa | 69.25 | 81.15 | | shelf | 41.49 | 55.65 | | house | 37.32 | 58.14 | | sea | 65.57 | 90.17 | | mirror | 73.28 | 82.54 | | rug | 64.93 | 76.65 | | field | 33.61 | 53.52 | | armchair | 49.81 | 72.18 | | seat | 61.67 | 82.97 | | fence | 48.52 | 65.69 | | desk | 52.67 | 71.39 | | rock | 50.08 | 76.61 | | wardrobe | 44.48 | 65.89 | | lamp | 71.14 | 83.34 | | bathtub | 83.31 | 92.89 | | railing | 36.68 | 51.83 | | cushion | 64.29 | 77.1 | | base | 35.18 | 57.13 | | box | 28.61 | 38.89 | | column | 39.23 | 44.85 | | signboard | 37.87 | 53.74 | | chest of drawers | 43.39 | 65.3 | | counter | 28.75 | 34.41 | | sand | 33.15 | 47.7 | | sink | 76.65 | 83.74 | | skyscraper | 33.9 | 42.09 | | fireplace | 77.7 | 96.6 | | refrigerator | 75.89 | 83.28 | | grandstand | 40.53 | 65.9 | | path | 27.39 | 43.17 | | stairs | 31.48 | 37.86 | | runway | 86.12 | 91.65 | | case | 64.65 | 83.36 | | pool table | 95.26 | 97.67 | | pillow | 65.45 | 78.55 | | screen door | 81.29 | 85.43 | | stairway | 33.75 | 42.76 | | river | 14.3 | 19.94 | | bridge | 75.38 | 89.88 | | bookcase | 39.45 | 64.36 | | blind | 46.2 | 51.88 | | coffee table | 66.58 | 84.73 | | toilet | 85.77 | 91.7 | | flower | 47.73 | 65.02 | | book | 48.99 | 69.66 | | hill | 6.12 | 12.24 | | bench | 58.73 | 71.21 | | countertop | 59.19 | 68.28 | | stove | 84.85 | 89.69 | | palm | 57.3 | 79.02 | | kitchen island | 54.27 | 78.96 | | computer | 71.83 | 78.2 | | swivel chair | 34.59 | 56.67 | | boat | 69.78 | 87.05 | | bar | 50.94 | 63.92 | | arcade machine | 89.42 | 95.14 | | hovel | 32.67 | 53.41 | | bus | 94.58 | 96.3 | | towel | 63.68 | 79.93 | | light | 63.17 | 75.6 | | truck | 32.74 | 57.98 | | tower | 28.66 | 48.0 | | chandelier | 70.41 | 86.59 | | awning | 33.79 | 47.26 | | streetlight | 43.49 | 61.84 | | booth | 26.31 | 40.48 | | television receiver | 77.96 | 87.53 | | airplane | 70.31 | 78.11 | | dirt track | 14.01 | 52.48 | | apparel | 27.83 | 46.54 | | pole | 32.42 | 49.58 | | land | 6.69 | 9.09 | | bannister | 16.78 | 23.31 | | escalator | 21.35 | 27.05 | | ottoman | 54.36 | 70.23 | | bottle | 39.74 | 70.57 | | buffet | 46.12 | 54.65 | | poster | 20.6 | 28.99 | | stage | 16.84 | 28.46 | | van | 44.93 | 61.09 | | ship | 8.18 | 10.68 | | fountain | 19.97 | 21.75 | | conveyer belt | 60.58 | 76.39 | | canopy | 26.27 | 36.17 | | washer | 71.74 | 74.31 | | plaything | 45.98 | 62.68 | | swimming pool | 59.9 | 65.07 | | stool | 48.1 | 68.2 | | barrel | 62.46 | 98.16 | | basket | 39.6 | 51.93 | | waterfall | 63.68 | 91.35 | | tent | 94.93 | 98.21 | | bag | 16.97 | 21.57 | | minibike | 75.87 | 92.24 | | cradle | 74.8 | 97.54 | | oven | 24.35 | 67.09 | | ball | 55.8 | 70.61 | | food | 62.96 | 76.55 | | step | 16.98 | 22.78 | | tank | 52.23 | 66.12 | | trade name | 26.14 | 30.69 | | microwave | 42.01 | 46.4 | | pot | 50.13 | 57.04 | | animal | 56.41 | 57.55 | | bicycle | 56.97 | 75.75 | | lake | 57.98 | 63.61 | | dishwasher | 82.01 | 87.72 | | screen | 64.91 | 88.76 | | blanket | 19.19 | 20.93 | | sculpture | 68.26 | 86.2 | | hood | 86.62 | 93.67 | | sconce | 55.71 | 67.01 | | vase | 50.74 | 68.75 | | traffic light | 42.11 | 67.45 | | tray | 13.85 | 25.26 | | ashcan | 52.69 | 68.8 | | fan | 71.62 | 83.95 | | pier | 32.28 | 44.3 | | crt screen | 2.59 | 8.11 | | plate | 58.31 | 77.19 | | monitor | 10.58 | 14.29 | | bulletin board | 51.69 | 72.5 | | shower | 11.98 | 22.28 | | radiator | 73.04 | 87.24 | | glass | 20.41 | 21.58 | | clock | 59.4 | 72.36 | | flag | 46.05 | 51.5 | +---------------------+-------+-------+ 2023-11-12 15:26:35,466 - mmseg - INFO - Summary: 2023-11-12 15:26:35,466 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.07 | 52.82 | 65.98 | +-------+-------+-------+ 2023-11-12 15:26:35,467 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 15:26:35,467 - mmseg - INFO - Iter(val) [250] aAcc: 0.8407, mIoU: 0.5282, mAcc: 0.6598, IoU.wall: 0.7929, IoU.building: 0.8243, IoU.sky: 0.9472, IoU.floor: 0.8304, IoU.tree: 0.7527, IoU.ceiling: 0.8464, IoU.road: 0.8485, IoU.bed : 0.9081, IoU.windowpane: 0.6453, IoU.grass: 0.6356, IoU.cabinet: 0.6427, IoU.sidewalk: 0.6687, IoU.person: 0.8483, IoU.earth: 0.3869, IoU.door: 0.5009, IoU.table: 0.6823, IoU.mountain: 0.6707, IoU.plant: 0.5168, IoU.curtain: 0.7766, IoU.chair: 0.6214, IoU.car: 0.8605, IoU.water: 0.5712, IoU.painting: 0.7484, IoU.sofa: 0.6925, IoU.shelf: 0.4149, IoU.house: 0.3732, IoU.sea: 0.6557, IoU.mirror: 0.7328, IoU.rug: 0.6493, IoU.field: 0.3361, IoU.armchair: 0.4981, IoU.seat: 0.6167, IoU.fence: 0.4852, IoU.desk: 0.5267, IoU.rock: 0.5008, IoU.wardrobe: 0.4448, IoU.lamp: 0.7114, IoU.bathtub: 0.8331, IoU.railing: 0.3668, IoU.cushion: 0.6429, IoU.base: 0.3518, IoU.box: 0.2861, IoU.column: 0.3923, IoU.signboard: 0.3787, IoU.chest of drawers: 0.4339, IoU.counter: 0.2875, IoU.sand: 0.3315, IoU.sink: 0.7665, IoU.skyscraper: 0.3390, IoU.fireplace: 0.7770, IoU.refrigerator: 0.7589, IoU.grandstand: 0.4053, IoU.path: 0.2739, IoU.stairs: 0.3148, IoU.runway: 0.8612, IoU.case: 0.6465, IoU.pool table: 0.9526, IoU.pillow: 0.6545, IoU.screen door: 0.8129, IoU.stairway: 0.3375, IoU.river: 0.1430, IoU.bridge: 0.7538, IoU.bookcase: 0.3945, IoU.blind: 0.4620, IoU.coffee table: 0.6658, IoU.toilet: 0.8577, IoU.flower: 0.4773, IoU.book: 0.4899, IoU.hill: 0.0612, IoU.bench: 0.5873, IoU.countertop: 0.5919, IoU.stove: 0.8485, IoU.palm: 0.5730, IoU.kitchen island: 0.5427, IoU.computer: 0.7183, IoU.swivel chair: 0.3459, IoU.boat: 0.6978, IoU.bar: 0.5094, IoU.arcade machine: 0.8942, IoU.hovel: 0.3267, IoU.bus: 0.9458, IoU.towel: 0.6368, IoU.light: 0.6317, IoU.truck: 0.3274, IoU.tower: 0.2866, IoU.chandelier: 0.7041, IoU.awning: 0.3379, IoU.streetlight: 0.4349, IoU.booth: 0.2631, IoU.television receiver: 0.7796, IoU.airplane: 0.7031, IoU.dirt track: 0.1401, IoU.apparel: 0.2783, IoU.pole: 0.3242, IoU.land: 0.0669, IoU.bannister: 0.1678, IoU.escalator: 0.2135, IoU.ottoman: 0.5436, IoU.bottle: 0.3974, IoU.buffet: 0.4612, IoU.poster: 0.2060, IoU.stage: 0.1684, IoU.van: 0.4493, IoU.ship: 0.0818, IoU.fountain: 0.1997, IoU.conveyer belt: 0.6058, IoU.canopy: 0.2627, IoU.washer: 0.7174, IoU.plaything: 0.4598, IoU.swimming pool: 0.5990, IoU.stool: 0.4810, IoU.barrel: 0.6246, IoU.basket: 0.3960, IoU.waterfall: 0.6368, IoU.tent: 0.9493, IoU.bag: 0.1697, IoU.minibike: 0.7587, IoU.cradle: 0.7480, IoU.oven: 0.2435, IoU.ball: 0.5580, IoU.food: 0.6296, IoU.step: 0.1698, IoU.tank: 0.5223, IoU.trade name: 0.2614, IoU.microwave: 0.4201, IoU.pot: 0.5013, IoU.animal: 0.5641, IoU.bicycle: 0.5697, IoU.lake: 0.5798, IoU.dishwasher: 0.8201, IoU.screen: 0.6491, IoU.blanket: 0.1919, IoU.sculpture: 0.6826, IoU.hood: 0.8662, IoU.sconce: 0.5571, IoU.vase: 0.5074, IoU.traffic light: 0.4211, IoU.tray: 0.1385, IoU.ashcan: 0.5269, IoU.fan: 0.7162, IoU.pier: 0.3228, IoU.crt screen: 0.0259, IoU.plate: 0.5831, IoU.monitor: 0.1058, IoU.bulletin board: 0.5169, IoU.shower: 0.1198, IoU.radiator: 0.7304, IoU.glass: 0.2041, IoU.clock: 0.5940, IoU.flag: 0.4605, Acc.wall: 0.8908, Acc.building: 0.9172, Acc.sky: 0.9712, Acc.floor: 0.9117, Acc.tree: 0.8734, Acc.ceiling: 0.9117, Acc.road: 0.9127, Acc.bed : 0.9645, Acc.windowpane: 0.7931, Acc.grass: 0.7319, Acc.cabinet: 0.7597, Acc.sidewalk: 0.8014, Acc.person: 0.9301, Acc.earth: 0.5726, Acc.door: 0.6421, Acc.table: 0.8247, Acc.mountain: 0.7872, Acc.plant: 0.6867, Acc.curtain: 0.8834, Acc.chair: 0.7245, Acc.car: 0.9238, Acc.water: 0.7257, Acc.painting: 0.8754, Acc.sofa: 0.8115, Acc.shelf: 0.5565, Acc.house: 0.5814, Acc.sea: 0.9017, Acc.mirror: 0.8254, Acc.rug: 0.7665, Acc.field: 0.5352, Acc.armchair: 0.7218, Acc.seat: 0.8297, Acc.fence: 0.6569, Acc.desk: 0.7139, Acc.rock: 0.7661, Acc.wardrobe: 0.6589, Acc.lamp: 0.8334, Acc.bathtub: 0.9289, Acc.railing: 0.5183, Acc.cushion: 0.7710, Acc.base: 0.5713, Acc.box: 0.3889, Acc.column: 0.4485, Acc.signboard: 0.5374, Acc.chest of drawers: 0.6530, Acc.counter: 0.3441, Acc.sand: 0.4770, Acc.sink: 0.8374, Acc.skyscraper: 0.4209, Acc.fireplace: 0.9660, Acc.refrigerator: 0.8328, Acc.grandstand: 0.6590, Acc.path: 0.4317, Acc.stairs: 0.3786, Acc.runway: 0.9165, Acc.case: 0.8336, Acc.pool table: 0.9767, Acc.pillow: 0.7855, Acc.screen door: 0.8543, Acc.stairway: 0.4276, Acc.river: 0.1994, Acc.bridge: 0.8988, Acc.bookcase: 0.6436, Acc.blind: 0.5188, Acc.coffee table: 0.8473, Acc.toilet: 0.9170, Acc.flower: 0.6502, Acc.book: 0.6966, Acc.hill: 0.1224, Acc.bench: 0.7121, Acc.countertop: 0.6828, Acc.stove: 0.8969, Acc.palm: 0.7902, Acc.kitchen island: 0.7896, Acc.computer: 0.7820, Acc.swivel chair: 0.5667, Acc.boat: 0.8705, Acc.bar: 0.6392, Acc.arcade machine: 0.9514, Acc.hovel: 0.5341, Acc.bus: 0.9630, Acc.towel: 0.7993, Acc.light: 0.7560, Acc.truck: 0.5798, Acc.tower: 0.4800, Acc.chandelier: 0.8659, Acc.awning: 0.4726, Acc.streetlight: 0.6184, Acc.booth: 0.4048, Acc.television receiver: 0.8753, Acc.airplane: 0.7811, Acc.dirt track: 0.5248, Acc.apparel: 0.4654, Acc.pole: 0.4958, Acc.land: 0.0909, Acc.bannister: 0.2331, Acc.escalator: 0.2705, Acc.ottoman: 0.7023, Acc.bottle: 0.7057, Acc.buffet: 0.5465, Acc.poster: 0.2899, Acc.stage: 0.2846, Acc.van: 0.6109, Acc.ship: 0.1068, Acc.fountain: 0.2175, Acc.conveyer belt: 0.7639, Acc.canopy: 0.3617, Acc.washer: 0.7431, Acc.plaything: 0.6268, Acc.swimming pool: 0.6507, Acc.stool: 0.6820, Acc.barrel: 0.9816, Acc.basket: 0.5193, Acc.waterfall: 0.9135, Acc.tent: 0.9821, Acc.bag: 0.2157, Acc.minibike: 0.9224, Acc.cradle: 0.9754, Acc.oven: 0.6709, Acc.ball: 0.7061, Acc.food: 0.7655, Acc.step: 0.2278, Acc.tank: 0.6612, Acc.trade name: 0.3069, Acc.microwave: 0.4640, Acc.pot: 0.5704, Acc.animal: 0.5755, Acc.bicycle: 0.7575, Acc.lake: 0.6361, Acc.dishwasher: 0.8772, Acc.screen: 0.8876, Acc.blanket: 0.2093, Acc.sculpture: 0.8620, Acc.hood: 0.9367, Acc.sconce: 0.6701, Acc.vase: 0.6875, Acc.traffic light: 0.6745, Acc.tray: 0.2526, Acc.ashcan: 0.6880, Acc.fan: 0.8395, Acc.pier: 0.4430, Acc.crt screen: 0.0811, Acc.plate: 0.7719, Acc.monitor: 0.1429, Acc.bulletin board: 0.7250, Acc.shower: 0.2228, Acc.radiator: 0.8724, Acc.glass: 0.2158, Acc.clock: 0.7236, Acc.flag: 0.5150 2023-11-12 15:26:59,550 - mmseg - INFO - Iter [120050/160000] lr: 2.497e-05, eta: 5:33:19, time: 0.860, data_time: 0.391, memory: 41146, decode.loss_cls: 0.1453, decode.loss_mask: 0.4234, decode.loss_dice: 0.6264, decode.d0.loss_cls: 1.0799, decode.d0.loss_mask: 0.4535, decode.d0.loss_dice: 0.6789, decode.d1.loss_cls: 0.2087, decode.d1.loss_mask: 0.4316, decode.d1.loss_dice: 0.6504, decode.d2.loss_cls: 0.1765, decode.d2.loss_mask: 0.4309, decode.d2.loss_dice: 0.6398, decode.d3.loss_cls: 0.1644, decode.d3.loss_mask: 0.4272, decode.d3.loss_dice: 0.6295, decode.d4.loss_cls: 0.1550, decode.d4.loss_mask: 0.4274, decode.d4.loss_dice: 0.6268, decode.d5.loss_cls: 0.1528, decode.d5.loss_mask: 0.4247, decode.d5.loss_dice: 0.6268, decode.d6.loss_cls: 0.1503, decode.d6.loss_mask: 0.4245, decode.d6.loss_dice: 0.6239, decode.d7.loss_cls: 0.1489, decode.d7.loss_mask: 0.4255, decode.d7.loss_dice: 0.6231, decode.d8.loss_cls: 0.1479, decode.d8.loss_mask: 0.4242, decode.d8.loss_dice: 0.6236, loss: 13.1716, grad_norm: 48.0189 2023-11-12 15:27:23,363 - mmseg - INFO - Iter [120100/160000] lr: 2.494e-05, eta: 5:32:54, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1540, decode.loss_mask: 0.4108, decode.loss_dice: 0.6640, decode.d0.loss_cls: 1.1430, decode.d0.loss_mask: 0.4362, decode.d0.loss_dice: 0.7073, decode.d1.loss_cls: 0.2211, decode.d1.loss_mask: 0.4186, decode.d1.loss_dice: 0.6885, decode.d2.loss_cls: 0.1913, decode.d2.loss_mask: 0.4136, decode.d2.loss_dice: 0.6806, decode.d3.loss_cls: 0.1769, decode.d3.loss_mask: 0.4128, decode.d3.loss_dice: 0.6678, decode.d4.loss_cls: 0.1707, decode.d4.loss_mask: 0.4116, decode.d4.loss_dice: 0.6659, decode.d5.loss_cls: 0.1654, decode.d5.loss_mask: 0.4119, decode.d5.loss_dice: 0.6629, decode.d6.loss_cls: 0.1653, decode.d6.loss_mask: 0.4113, decode.d6.loss_dice: 0.6637, decode.d7.loss_cls: 0.1601, decode.d7.loss_mask: 0.4116, decode.d7.loss_dice: 0.6652, decode.d8.loss_cls: 0.1578, decode.d8.loss_mask: 0.4107, decode.d8.loss_dice: 0.6669, loss: 13.5875, grad_norm: 44.0981 2023-11-12 15:27:47,135 - mmseg - INFO - Iter [120150/160000] lr: 2.491e-05, eta: 5:32:29, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1570, decode.loss_mask: 0.4157, decode.loss_dice: 0.6371, decode.d0.loss_cls: 1.1452, decode.d0.loss_mask: 0.4455, decode.d0.loss_dice: 0.6904, decode.d1.loss_cls: 0.2143, decode.d1.loss_mask: 0.4277, decode.d1.loss_dice: 0.6717, decode.d2.loss_cls: 0.1912, decode.d2.loss_mask: 0.4190, decode.d2.loss_dice: 0.6522, decode.d3.loss_cls: 0.1756, decode.d3.loss_mask: 0.4180, decode.d3.loss_dice: 0.6433, decode.d4.loss_cls: 0.1710, decode.d4.loss_mask: 0.4176, decode.d4.loss_dice: 0.6432, decode.d5.loss_cls: 0.1662, decode.d5.loss_mask: 0.4169, decode.d5.loss_dice: 0.6420, decode.d6.loss_cls: 0.1640, decode.d6.loss_mask: 0.4162, decode.d6.loss_dice: 0.6378, decode.d7.loss_cls: 0.1625, decode.d7.loss_mask: 0.4171, decode.d7.loss_dice: 0.6357, decode.d8.loss_cls: 0.1594, decode.d8.loss_mask: 0.4155, decode.d8.loss_dice: 0.6403, loss: 13.4094, grad_norm: 45.8769 2023-11-12 15:28:11,033 - mmseg - INFO - Iter [120200/160000] lr: 2.488e-05, eta: 5:32:03, time: 0.478, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1610, decode.loss_mask: 0.4069, decode.loss_dice: 0.6503, decode.d0.loss_cls: 1.1461, decode.d0.loss_mask: 0.4382, decode.d0.loss_dice: 0.7049, decode.d1.loss_cls: 0.2236, decode.d1.loss_mask: 0.4165, decode.d1.loss_dice: 0.6840, decode.d2.loss_cls: 0.1864, decode.d2.loss_mask: 0.4120, decode.d2.loss_dice: 0.6705, decode.d3.loss_cls: 0.1769, decode.d3.loss_mask: 0.4099, decode.d3.loss_dice: 0.6566, decode.d4.loss_cls: 0.1673, decode.d4.loss_mask: 0.4087, decode.d4.loss_dice: 0.6536, decode.d5.loss_cls: 0.1661, decode.d5.loss_mask: 0.4090, decode.d5.loss_dice: 0.6533, decode.d6.loss_cls: 0.1627, decode.d6.loss_mask: 0.4071, decode.d6.loss_dice: 0.6521, decode.d7.loss_cls: 0.1612, decode.d7.loss_mask: 0.4073, decode.d7.loss_dice: 0.6544, decode.d8.loss_cls: 0.1632, decode.d8.loss_mask: 0.4066, decode.d8.loss_dice: 0.6520, loss: 13.4684, grad_norm: 49.1606 2023-11-12 15:28:34,711 - mmseg - INFO - Iter [120250/160000] lr: 2.484e-05, eta: 5:31:38, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1686, decode.loss_mask: 0.4218, decode.loss_dice: 0.6425, decode.d0.loss_cls: 1.1082, decode.d0.loss_mask: 0.4527, decode.d0.loss_dice: 0.7011, decode.d1.loss_cls: 0.2294, decode.d1.loss_mask: 0.4338, decode.d1.loss_dice: 0.6733, decode.d2.loss_cls: 0.2019, decode.d2.loss_mask: 0.4280, decode.d2.loss_dice: 0.6583, decode.d3.loss_cls: 0.1820, decode.d3.loss_mask: 0.4268, decode.d3.loss_dice: 0.6489, decode.d4.loss_cls: 0.1763, decode.d4.loss_mask: 0.4235, decode.d4.loss_dice: 0.6454, decode.d5.loss_cls: 0.1727, decode.d5.loss_mask: 0.4227, decode.d5.loss_dice: 0.6508, decode.d6.loss_cls: 0.1737, decode.d6.loss_mask: 0.4235, decode.d6.loss_dice: 0.6425, decode.d7.loss_cls: 0.1690, decode.d7.loss_mask: 0.4236, decode.d7.loss_dice: 0.6441, decode.d8.loss_cls: 0.1665, decode.d8.loss_mask: 0.4232, decode.d8.loss_dice: 0.6485, loss: 13.5833, grad_norm: 47.5125 2023-11-12 15:28:58,457 - mmseg - INFO - Iter [120300/160000] lr: 2.481e-05, eta: 5:31:12, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1614, decode.loss_mask: 0.4247, decode.loss_dice: 0.6451, decode.d0.loss_cls: 1.1621, decode.d0.loss_mask: 0.4540, decode.d0.loss_dice: 0.6999, decode.d1.loss_cls: 0.2311, decode.d1.loss_mask: 0.4354, decode.d1.loss_dice: 0.6769, decode.d2.loss_cls: 0.2017, decode.d2.loss_mask: 0.4288, decode.d2.loss_dice: 0.6638, decode.d3.loss_cls: 0.1853, decode.d3.loss_mask: 0.4243, decode.d3.loss_dice: 0.6554, decode.d4.loss_cls: 0.1781, decode.d4.loss_mask: 0.4245, decode.d4.loss_dice: 0.6541, decode.d5.loss_cls: 0.1694, decode.d5.loss_mask: 0.4239, decode.d5.loss_dice: 0.6502, decode.d6.loss_cls: 0.1720, decode.d6.loss_mask: 0.4249, decode.d6.loss_dice: 0.6444, decode.d7.loss_cls: 0.1690, decode.d7.loss_mask: 0.4232, decode.d7.loss_dice: 0.6468, decode.d8.loss_cls: 0.1618, decode.d8.loss_mask: 0.4253, decode.d8.loss_dice: 0.6457, loss: 13.6635, grad_norm: 41.8712 2023-11-12 15:29:22,204 - mmseg - INFO - Iter [120350/160000] lr: 2.478e-05, eta: 5:30:47, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1633, decode.loss_mask: 0.4217, decode.loss_dice: 0.6777, decode.d0.loss_cls: 1.1311, decode.d0.loss_mask: 0.4546, decode.d0.loss_dice: 0.7260, decode.d1.loss_cls: 0.2332, decode.d1.loss_mask: 0.4342, decode.d1.loss_dice: 0.7053, decode.d2.loss_cls: 0.1965, decode.d2.loss_mask: 0.4288, decode.d2.loss_dice: 0.6896, decode.d3.loss_cls: 0.1868, decode.d3.loss_mask: 0.4244, decode.d3.loss_dice: 0.6813, decode.d4.loss_cls: 0.1751, decode.d4.loss_mask: 0.4242, decode.d4.loss_dice: 0.6805, decode.d5.loss_cls: 0.1702, decode.d5.loss_mask: 0.4235, decode.d5.loss_dice: 0.6805, decode.d6.loss_cls: 0.1671, decode.d6.loss_mask: 0.4227, decode.d6.loss_dice: 0.6740, decode.d7.loss_cls: 0.1637, decode.d7.loss_mask: 0.4212, decode.d7.loss_dice: 0.6739, decode.d8.loss_cls: 0.1637, decode.d8.loss_mask: 0.4213, decode.d8.loss_dice: 0.6735, loss: 13.8897, grad_norm: 44.9884 2023-11-12 15:29:46,087 - mmseg - INFO - Iter [120400/160000] lr: 2.475e-05, eta: 5:30:21, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1528, decode.loss_mask: 0.4133, decode.loss_dice: 0.6415, decode.d0.loss_cls: 1.1162, decode.d0.loss_mask: 0.4461, decode.d0.loss_dice: 0.6989, decode.d1.loss_cls: 0.2131, decode.d1.loss_mask: 0.4238, decode.d1.loss_dice: 0.6703, decode.d2.loss_cls: 0.1834, decode.d2.loss_mask: 0.4185, decode.d2.loss_dice: 0.6543, decode.d3.loss_cls: 0.1687, decode.d3.loss_mask: 0.4147, decode.d3.loss_dice: 0.6479, decode.d4.loss_cls: 0.1628, decode.d4.loss_mask: 0.4148, decode.d4.loss_dice: 0.6446, decode.d5.loss_cls: 0.1620, decode.d5.loss_mask: 0.4157, decode.d5.loss_dice: 0.6457, decode.d6.loss_cls: 0.1599, decode.d6.loss_mask: 0.4148, decode.d6.loss_dice: 0.6409, decode.d7.loss_cls: 0.1569, decode.d7.loss_mask: 0.4146, decode.d7.loss_dice: 0.6424, decode.d8.loss_cls: 0.1561, decode.d8.loss_mask: 0.4129, decode.d8.loss_dice: 0.6412, loss: 13.3486, grad_norm: 45.9307 2023-11-12 15:30:10,322 - mmseg - INFO - Iter [120450/160000] lr: 2.472e-05, eta: 5:29:56, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1716, decode.loss_mask: 0.4362, decode.loss_dice: 0.6613, decode.d0.loss_cls: 1.1391, decode.d0.loss_mask: 0.4684, decode.d0.loss_dice: 0.7207, decode.d1.loss_cls: 0.2407, decode.d1.loss_mask: 0.4504, decode.d1.loss_dice: 0.6913, decode.d2.loss_cls: 0.2103, decode.d2.loss_mask: 0.4438, decode.d2.loss_dice: 0.6745, decode.d3.loss_cls: 0.1904, decode.d3.loss_mask: 0.4393, decode.d3.loss_dice: 0.6694, decode.d4.loss_cls: 0.1858, decode.d4.loss_mask: 0.4376, decode.d4.loss_dice: 0.6648, decode.d5.loss_cls: 0.1804, decode.d5.loss_mask: 0.4367, decode.d5.loss_dice: 0.6613, decode.d6.loss_cls: 0.1816, decode.d6.loss_mask: 0.4351, decode.d6.loss_dice: 0.6602, decode.d7.loss_cls: 0.1809, decode.d7.loss_mask: 0.4373, decode.d7.loss_dice: 0.6648, decode.d8.loss_cls: 0.1707, decode.d8.loss_mask: 0.4354, decode.d8.loss_dice: 0.6617, loss: 14.0019, grad_norm: 49.3865 2023-11-12 15:30:34,168 - mmseg - INFO - Iter [120500/160000] lr: 2.469e-05, eta: 5:29:31, time: 0.479, data_time: 0.015, memory: 41146, decode.loss_cls: 0.1552, decode.loss_mask: 0.4156, decode.loss_dice: 0.6376, decode.d0.loss_cls: 1.1569, decode.d0.loss_mask: 0.4449, decode.d0.loss_dice: 0.6951, decode.d1.loss_cls: 0.2136, decode.d1.loss_mask: 0.4283, decode.d1.loss_dice: 0.6692, decode.d2.loss_cls: 0.1868, decode.d2.loss_mask: 0.4196, decode.d2.loss_dice: 0.6558, decode.d3.loss_cls: 0.1735, decode.d3.loss_mask: 0.4161, decode.d3.loss_dice: 0.6492, decode.d4.loss_cls: 0.1677, decode.d4.loss_mask: 0.4164, decode.d4.loss_dice: 0.6474, decode.d5.loss_cls: 0.1614, decode.d5.loss_mask: 0.4161, decode.d5.loss_dice: 0.6461, decode.d6.loss_cls: 0.1562, decode.d6.loss_mask: 0.4166, decode.d6.loss_dice: 0.6434, decode.d7.loss_cls: 0.1574, decode.d7.loss_mask: 0.4159, decode.d7.loss_dice: 0.6454, decode.d8.loss_cls: 0.1547, decode.d8.loss_mask: 0.4159, decode.d8.loss_dice: 0.6430, loss: 13.4211, grad_norm: 48.9267 2023-11-12 15:30:57,918 - mmseg - INFO - Iter [120550/160000] lr: 2.466e-05, eta: 5:29:05, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1701, decode.loss_mask: 0.4343, decode.loss_dice: 0.6595, decode.d0.loss_cls: 1.1145, decode.d0.loss_mask: 0.4690, decode.d0.loss_dice: 0.7210, decode.d1.loss_cls: 0.2318, decode.d1.loss_mask: 0.4471, decode.d1.loss_dice: 0.6941, decode.d2.loss_cls: 0.1971, decode.d2.loss_mask: 0.4404, decode.d2.loss_dice: 0.6779, decode.d3.loss_cls: 0.1821, decode.d3.loss_mask: 0.4372, decode.d3.loss_dice: 0.6656, decode.d4.loss_cls: 0.1724, decode.d4.loss_mask: 0.4370, decode.d4.loss_dice: 0.6682, decode.d5.loss_cls: 0.1762, decode.d5.loss_mask: 0.4366, decode.d5.loss_dice: 0.6616, decode.d6.loss_cls: 0.1704, decode.d6.loss_mask: 0.4354, decode.d6.loss_dice: 0.6633, decode.d7.loss_cls: 0.1696, decode.d7.loss_mask: 0.4348, decode.d7.loss_dice: 0.6637, decode.d8.loss_cls: 0.1688, decode.d8.loss_mask: 0.4334, decode.d8.loss_dice: 0.6579, loss: 13.8911, grad_norm: 48.8370 2023-11-12 15:31:21,749 - mmseg - INFO - Iter [120600/160000] lr: 2.463e-05, eta: 5:28:40, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1513, decode.loss_mask: 0.4127, decode.loss_dice: 0.6393, decode.d0.loss_cls: 1.1038, decode.d0.loss_mask: 0.4431, decode.d0.loss_dice: 0.6973, decode.d1.loss_cls: 0.2041, decode.d1.loss_mask: 0.4251, decode.d1.loss_dice: 0.6707, decode.d2.loss_cls: 0.1806, decode.d2.loss_mask: 0.4175, decode.d2.loss_dice: 0.6604, decode.d3.loss_cls: 0.1677, decode.d3.loss_mask: 0.4139, decode.d3.loss_dice: 0.6491, decode.d4.loss_cls: 0.1619, decode.d4.loss_mask: 0.4134, decode.d4.loss_dice: 0.6472, decode.d5.loss_cls: 0.1550, decode.d5.loss_mask: 0.4146, decode.d5.loss_dice: 0.6454, decode.d6.loss_cls: 0.1556, decode.d6.loss_mask: 0.4145, decode.d6.loss_dice: 0.6352, decode.d7.loss_cls: 0.1529, decode.d7.loss_mask: 0.4135, decode.d7.loss_dice: 0.6400, decode.d8.loss_cls: 0.1531, decode.d8.loss_mask: 0.4126, decode.d8.loss_dice: 0.6431, loss: 13.2946, grad_norm: 48.1163 2023-11-12 15:31:45,349 - mmseg - INFO - Iter [120650/160000] lr: 2.459e-05, eta: 5:28:14, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1579, decode.loss_mask: 0.4288, decode.loss_dice: 0.6546, decode.d0.loss_cls: 1.1202, decode.d0.loss_mask: 0.4623, decode.d0.loss_dice: 0.7074, decode.d1.loss_cls: 0.2152, decode.d1.loss_mask: 0.4419, decode.d1.loss_dice: 0.6822, decode.d2.loss_cls: 0.1858, decode.d2.loss_mask: 0.4371, decode.d2.loss_dice: 0.6654, decode.d3.loss_cls: 0.1746, decode.d3.loss_mask: 0.4319, decode.d3.loss_dice: 0.6575, decode.d4.loss_cls: 0.1686, decode.d4.loss_mask: 0.4302, decode.d4.loss_dice: 0.6599, decode.d5.loss_cls: 0.1631, decode.d5.loss_mask: 0.4311, decode.d5.loss_dice: 0.6538, decode.d6.loss_cls: 0.1581, decode.d6.loss_mask: 0.4315, decode.d6.loss_dice: 0.6533, decode.d7.loss_cls: 0.1556, decode.d7.loss_mask: 0.4305, decode.d7.loss_dice: 0.6544, decode.d8.loss_cls: 0.1579, decode.d8.loss_mask: 0.4290, decode.d8.loss_dice: 0.6536, loss: 13.6532, grad_norm: 44.9018 2023-11-12 15:32:09,006 - mmseg - INFO - Iter [120700/160000] lr: 2.456e-05, eta: 5:27:49, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1563, decode.loss_mask: 0.4393, decode.loss_dice: 0.6284, decode.d0.loss_cls: 1.0948, decode.d0.loss_mask: 0.4714, decode.d0.loss_dice: 0.6847, decode.d1.loss_cls: 0.2232, decode.d1.loss_mask: 0.4507, decode.d1.loss_dice: 0.6523, decode.d2.loss_cls: 0.1856, decode.d2.loss_mask: 0.4433, decode.d2.loss_dice: 0.6365, decode.d3.loss_cls: 0.1741, decode.d3.loss_mask: 0.4416, decode.d3.loss_dice: 0.6313, decode.d4.loss_cls: 0.1663, decode.d4.loss_mask: 0.4415, decode.d4.loss_dice: 0.6334, decode.d5.loss_cls: 0.1644, decode.d5.loss_mask: 0.4392, decode.d5.loss_dice: 0.6330, decode.d6.loss_cls: 0.1575, decode.d6.loss_mask: 0.4398, decode.d6.loss_dice: 0.6271, decode.d7.loss_cls: 0.1586, decode.d7.loss_mask: 0.4389, decode.d7.loss_dice: 0.6267, decode.d8.loss_cls: 0.1515, decode.d8.loss_mask: 0.4391, decode.d8.loss_dice: 0.6316, loss: 13.4624, grad_norm: 48.7716 2023-11-12 15:32:32,852 - mmseg - INFO - Iter [120750/160000] lr: 2.453e-05, eta: 5:27:23, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1514, decode.loss_mask: 0.4258, decode.loss_dice: 0.6311, decode.d0.loss_cls: 1.1136, decode.d0.loss_mask: 0.4555, decode.d0.loss_dice: 0.6815, decode.d1.loss_cls: 0.2187, decode.d1.loss_mask: 0.4364, decode.d1.loss_dice: 0.6539, decode.d2.loss_cls: 0.1829, decode.d2.loss_mask: 0.4314, decode.d2.loss_dice: 0.6456, decode.d3.loss_cls: 0.1714, decode.d3.loss_mask: 0.4278, decode.d3.loss_dice: 0.6345, decode.d4.loss_cls: 0.1670, decode.d4.loss_mask: 0.4267, decode.d4.loss_dice: 0.6358, decode.d5.loss_cls: 0.1597, decode.d5.loss_mask: 0.4251, decode.d5.loss_dice: 0.6364, decode.d6.loss_cls: 0.1591, decode.d6.loss_mask: 0.4255, decode.d6.loss_dice: 0.6312, decode.d7.loss_cls: 0.1555, decode.d7.loss_mask: 0.4251, decode.d7.loss_dice: 0.6319, decode.d8.loss_cls: 0.1575, decode.d8.loss_mask: 0.4248, decode.d8.loss_dice: 0.6311, loss: 13.3541, grad_norm: 46.5594 2023-11-12 15:32:56,682 - mmseg - INFO - Iter [120800/160000] lr: 2.450e-05, eta: 5:26:58, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1611, decode.loss_mask: 0.4214, decode.loss_dice: 0.6394, decode.d0.loss_cls: 1.1137, decode.d0.loss_mask: 0.4536, decode.d0.loss_dice: 0.6944, decode.d1.loss_cls: 0.2207, decode.d1.loss_mask: 0.4337, decode.d1.loss_dice: 0.6606, decode.d2.loss_cls: 0.1940, decode.d2.loss_mask: 0.4253, decode.d2.loss_dice: 0.6557, decode.d3.loss_cls: 0.1759, decode.d3.loss_mask: 0.4238, decode.d3.loss_dice: 0.6489, decode.d4.loss_cls: 0.1683, decode.d4.loss_mask: 0.4230, decode.d4.loss_dice: 0.6440, decode.d5.loss_cls: 0.1644, decode.d5.loss_mask: 0.4222, decode.d5.loss_dice: 0.6437, decode.d6.loss_cls: 0.1631, decode.d6.loss_mask: 0.4223, decode.d6.loss_dice: 0.6419, decode.d7.loss_cls: 0.1587, decode.d7.loss_mask: 0.4226, decode.d7.loss_dice: 0.6421, decode.d8.loss_cls: 0.1577, decode.d8.loss_mask: 0.4219, decode.d8.loss_dice: 0.6402, loss: 13.4583, grad_norm: 42.6837 2023-11-12 15:33:20,646 - mmseg - INFO - Iter [120850/160000] lr: 2.447e-05, eta: 5:26:33, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1620, decode.loss_mask: 0.4125, decode.loss_dice: 0.6446, decode.d0.loss_cls: 1.1215, decode.d0.loss_mask: 0.4444, decode.d0.loss_dice: 0.7067, decode.d1.loss_cls: 0.2225, decode.d1.loss_mask: 0.4249, decode.d1.loss_dice: 0.6708, decode.d2.loss_cls: 0.1908, decode.d2.loss_mask: 0.4190, decode.d2.loss_dice: 0.6637, decode.d3.loss_cls: 0.1749, decode.d3.loss_mask: 0.4162, decode.d3.loss_dice: 0.6526, decode.d4.loss_cls: 0.1652, decode.d4.loss_mask: 0.4140, decode.d4.loss_dice: 0.6521, decode.d5.loss_cls: 0.1642, decode.d5.loss_mask: 0.4140, decode.d5.loss_dice: 0.6528, decode.d6.loss_cls: 0.1633, decode.d6.loss_mask: 0.4141, decode.d6.loss_dice: 0.6455, decode.d7.loss_cls: 0.1599, decode.d7.loss_mask: 0.4117, decode.d7.loss_dice: 0.6486, decode.d8.loss_cls: 0.1546, decode.d8.loss_mask: 0.4128, decode.d8.loss_dice: 0.6461, loss: 13.4461, grad_norm: 48.1238 2023-11-12 15:33:44,803 - mmseg - INFO - Iter [120900/160000] lr: 2.444e-05, eta: 5:26:07, time: 0.483, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1599, decode.loss_mask: 0.4194, decode.loss_dice: 0.6419, decode.d0.loss_cls: 1.1145, decode.d0.loss_mask: 0.4521, decode.d0.loss_dice: 0.7015, decode.d1.loss_cls: 0.2212, decode.d1.loss_mask: 0.4337, decode.d1.loss_dice: 0.6710, decode.d2.loss_cls: 0.1878, decode.d2.loss_mask: 0.4229, decode.d2.loss_dice: 0.6575, decode.d3.loss_cls: 0.1735, decode.d3.loss_mask: 0.4224, decode.d3.loss_dice: 0.6467, decode.d4.loss_cls: 0.1675, decode.d4.loss_mask: 0.4218, decode.d4.loss_dice: 0.6475, decode.d5.loss_cls: 0.1666, decode.d5.loss_mask: 0.4222, decode.d5.loss_dice: 0.6458, decode.d6.loss_cls: 0.1627, decode.d6.loss_mask: 0.4206, decode.d6.loss_dice: 0.6439, decode.d7.loss_cls: 0.1647, decode.d7.loss_mask: 0.4206, decode.d7.loss_dice: 0.6418, decode.d8.loss_cls: 0.1595, decode.d8.loss_mask: 0.4208, decode.d8.loss_dice: 0.6422, loss: 13.4744, grad_norm: 45.8616 2023-11-12 15:34:08,491 - mmseg - INFO - Iter [120950/160000] lr: 2.441e-05, eta: 5:25:42, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1605, decode.loss_mask: 0.4158, decode.loss_dice: 0.6349, decode.d0.loss_cls: 1.1041, decode.d0.loss_mask: 0.4524, decode.d0.loss_dice: 0.6964, decode.d1.loss_cls: 0.2230, decode.d1.loss_mask: 0.4291, decode.d1.loss_dice: 0.6590, decode.d2.loss_cls: 0.1898, decode.d2.loss_mask: 0.4219, decode.d2.loss_dice: 0.6511, decode.d3.loss_cls: 0.1771, decode.d3.loss_mask: 0.4184, decode.d3.loss_dice: 0.6419, decode.d4.loss_cls: 0.1735, decode.d4.loss_mask: 0.4179, decode.d4.loss_dice: 0.6420, decode.d5.loss_cls: 0.1692, decode.d5.loss_mask: 0.4179, decode.d5.loss_dice: 0.6363, decode.d6.loss_cls: 0.1647, decode.d6.loss_mask: 0.4169, decode.d6.loss_dice: 0.6339, decode.d7.loss_cls: 0.1632, decode.d7.loss_mask: 0.4167, decode.d7.loss_dice: 0.6383, decode.d8.loss_cls: 0.1625, decode.d8.loss_mask: 0.4160, decode.d8.loss_dice: 0.6375, loss: 13.3819, grad_norm: 47.7798 2023-11-12 15:34:32,173 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 15:34:32,173 - mmseg - INFO - Iter [121000/160000] lr: 2.438e-05, eta: 5:25:16, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1539, decode.loss_mask: 0.4463, decode.loss_dice: 0.6404, decode.d0.loss_cls: 1.0966, decode.d0.loss_mask: 0.4844, decode.d0.loss_dice: 0.6975, decode.d1.loss_cls: 0.2125, decode.d1.loss_mask: 0.4581, decode.d1.loss_dice: 0.6719, decode.d2.loss_cls: 0.1811, decode.d2.loss_mask: 0.4522, decode.d2.loss_dice: 0.6587, decode.d3.loss_cls: 0.1665, decode.d3.loss_mask: 0.4485, decode.d3.loss_dice: 0.6471, decode.d4.loss_cls: 0.1592, decode.d4.loss_mask: 0.4489, decode.d4.loss_dice: 0.6454, decode.d5.loss_cls: 0.1539, decode.d5.loss_mask: 0.4468, decode.d5.loss_dice: 0.6469, decode.d6.loss_cls: 0.1551, decode.d6.loss_mask: 0.4466, decode.d6.loss_dice: 0.6432, decode.d7.loss_cls: 0.1511, decode.d7.loss_mask: 0.4473, decode.d7.loss_dice: 0.6415, decode.d8.loss_cls: 0.1499, decode.d8.loss_mask: 0.4468, decode.d8.loss_dice: 0.6454, loss: 13.6438, grad_norm: 48.7452 2023-11-12 15:34:55,885 - mmseg - INFO - Iter [121050/160000] lr: 2.434e-05, eta: 5:24:51, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1661, decode.loss_mask: 0.4277, decode.loss_dice: 0.6399, decode.d0.loss_cls: 1.1140, decode.d0.loss_mask: 0.4630, decode.d0.loss_dice: 0.6926, decode.d1.loss_cls: 0.2170, decode.d1.loss_mask: 0.4412, decode.d1.loss_dice: 0.6707, decode.d2.loss_cls: 0.1909, decode.d2.loss_mask: 0.4360, decode.d2.loss_dice: 0.6542, decode.d3.loss_cls: 0.1820, decode.d3.loss_mask: 0.4291, decode.d3.loss_dice: 0.6436, decode.d4.loss_cls: 0.1758, decode.d4.loss_mask: 0.4288, decode.d4.loss_dice: 0.6403, decode.d5.loss_cls: 0.1725, decode.d5.loss_mask: 0.4284, decode.d5.loss_dice: 0.6431, decode.d6.loss_cls: 0.1652, decode.d6.loss_mask: 0.4280, decode.d6.loss_dice: 0.6418, decode.d7.loss_cls: 0.1658, decode.d7.loss_mask: 0.4280, decode.d7.loss_dice: 0.6404, decode.d8.loss_cls: 0.1661, decode.d8.loss_mask: 0.4266, decode.d8.loss_dice: 0.6378, loss: 13.5565, grad_norm: 44.4215 2023-11-12 15:35:19,671 - mmseg - INFO - Iter [121100/160000] lr: 2.431e-05, eta: 5:24:26, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1601, decode.loss_mask: 0.4215, decode.loss_dice: 0.6564, decode.d0.loss_cls: 1.1246, decode.d0.loss_mask: 0.4561, decode.d0.loss_dice: 0.7061, decode.d1.loss_cls: 0.2231, decode.d1.loss_mask: 0.4368, decode.d1.loss_dice: 0.6894, decode.d2.loss_cls: 0.1937, decode.d2.loss_mask: 0.4289, decode.d2.loss_dice: 0.6714, decode.d3.loss_cls: 0.1755, decode.d3.loss_mask: 0.4264, decode.d3.loss_dice: 0.6591, decode.d4.loss_cls: 0.1707, decode.d4.loss_mask: 0.4251, decode.d4.loss_dice: 0.6590, decode.d5.loss_cls: 0.1643, decode.d5.loss_mask: 0.4226, decode.d5.loss_dice: 0.6563, decode.d6.loss_cls: 0.1623, decode.d6.loss_mask: 0.4231, decode.d6.loss_dice: 0.6545, decode.d7.loss_cls: 0.1615, decode.d7.loss_mask: 0.4241, decode.d7.loss_dice: 0.6564, decode.d8.loss_cls: 0.1653, decode.d8.loss_mask: 0.4221, decode.d8.loss_dice: 0.6551, loss: 13.6518, grad_norm: 47.2690 2023-11-12 15:35:43,428 - mmseg - INFO - Iter [121150/160000] lr: 2.428e-05, eta: 5:24:00, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1484, decode.loss_mask: 0.4224, decode.loss_dice: 0.6328, decode.d0.loss_cls: 1.1215, decode.d0.loss_mask: 0.4484, decode.d0.loss_dice: 0.6816, decode.d1.loss_cls: 0.2054, decode.d1.loss_mask: 0.4328, decode.d1.loss_dice: 0.6578, decode.d2.loss_cls: 0.1763, decode.d2.loss_mask: 0.4264, decode.d2.loss_dice: 0.6485, decode.d3.loss_cls: 0.1696, decode.d3.loss_mask: 0.4243, decode.d3.loss_dice: 0.6345, decode.d4.loss_cls: 0.1614, decode.d4.loss_mask: 0.4225, decode.d4.loss_dice: 0.6335, decode.d5.loss_cls: 0.1532, decode.d5.loss_mask: 0.4235, decode.d5.loss_dice: 0.6355, decode.d6.loss_cls: 0.1508, decode.d6.loss_mask: 0.4223, decode.d6.loss_dice: 0.6342, decode.d7.loss_cls: 0.1480, decode.d7.loss_mask: 0.4237, decode.d7.loss_dice: 0.6308, decode.d8.loss_cls: 0.1478, decode.d8.loss_mask: 0.4233, decode.d8.loss_dice: 0.6341, loss: 13.2751, grad_norm: 48.5750 2023-11-12 15:36:07,363 - mmseg - INFO - Iter [121200/160000] lr: 2.425e-05, eta: 5:23:35, time: 0.479, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1564, decode.loss_mask: 0.4356, decode.loss_dice: 0.6534, decode.d0.loss_cls: 1.1136, decode.d0.loss_mask: 0.4633, decode.d0.loss_dice: 0.7027, decode.d1.loss_cls: 0.2170, decode.d1.loss_mask: 0.4472, decode.d1.loss_dice: 0.6767, decode.d2.loss_cls: 0.1844, decode.d2.loss_mask: 0.4403, decode.d2.loss_dice: 0.6616, decode.d3.loss_cls: 0.1685, decode.d3.loss_mask: 0.4374, decode.d3.loss_dice: 0.6544, decode.d4.loss_cls: 0.1661, decode.d4.loss_mask: 0.4366, decode.d4.loss_dice: 0.6545, decode.d5.loss_cls: 0.1607, decode.d5.loss_mask: 0.4371, decode.d5.loss_dice: 0.6578, decode.d6.loss_cls: 0.1580, decode.d6.loss_mask: 0.4373, decode.d6.loss_dice: 0.6509, decode.d7.loss_cls: 0.1543, decode.d7.loss_mask: 0.4371, decode.d7.loss_dice: 0.6543, decode.d8.loss_cls: 0.1587, decode.d8.loss_mask: 0.4368, decode.d8.loss_dice: 0.6528, loss: 13.6658, grad_norm: 45.7787 2023-11-12 15:36:33,560 - mmseg - INFO - Iter [121250/160000] lr: 2.422e-05, eta: 5:23:10, time: 0.524, data_time: 0.058, memory: 41146, decode.loss_cls: 0.1733, decode.loss_mask: 0.4361, decode.loss_dice: 0.6447, decode.d0.loss_cls: 1.1447, decode.d0.loss_mask: 0.4740, decode.d0.loss_dice: 0.7033, decode.d1.loss_cls: 0.2306, decode.d1.loss_mask: 0.4529, decode.d1.loss_dice: 0.6818, decode.d2.loss_cls: 0.2066, decode.d2.loss_mask: 0.4428, decode.d2.loss_dice: 0.6606, decode.d3.loss_cls: 0.1852, decode.d3.loss_mask: 0.4408, decode.d3.loss_dice: 0.6508, decode.d4.loss_cls: 0.1755, decode.d4.loss_mask: 0.4391, decode.d4.loss_dice: 0.6502, decode.d5.loss_cls: 0.1745, decode.d5.loss_mask: 0.4376, decode.d5.loss_dice: 0.6533, decode.d6.loss_cls: 0.1744, decode.d6.loss_mask: 0.4363, decode.d6.loss_dice: 0.6466, decode.d7.loss_cls: 0.1734, decode.d7.loss_mask: 0.4359, decode.d7.loss_dice: 0.6479, decode.d8.loss_cls: 0.1738, decode.d8.loss_mask: 0.4358, decode.d8.loss_dice: 0.6461, loss: 13.8284, grad_norm: 51.5490 2023-11-12 15:36:57,610 - mmseg - INFO - Iter [121300/160000] lr: 2.419e-05, eta: 5:22:45, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1528, decode.loss_mask: 0.4085, decode.loss_dice: 0.6492, decode.d0.loss_cls: 1.1364, decode.d0.loss_mask: 0.4406, decode.d0.loss_dice: 0.7058, decode.d1.loss_cls: 0.2142, decode.d1.loss_mask: 0.4209, decode.d1.loss_dice: 0.6830, decode.d2.loss_cls: 0.1892, decode.d2.loss_mask: 0.4139, decode.d2.loss_dice: 0.6647, decode.d3.loss_cls: 0.1698, decode.d3.loss_mask: 0.4108, decode.d3.loss_dice: 0.6581, decode.d4.loss_cls: 0.1651, decode.d4.loss_mask: 0.4120, decode.d4.loss_dice: 0.6543, decode.d5.loss_cls: 0.1635, decode.d5.loss_mask: 0.4109, decode.d5.loss_dice: 0.6529, decode.d6.loss_cls: 0.1609, decode.d6.loss_mask: 0.4102, decode.d6.loss_dice: 0.6454, decode.d7.loss_cls: 0.1595, decode.d7.loss_mask: 0.4081, decode.d7.loss_dice: 0.6503, decode.d8.loss_cls: 0.1546, decode.d8.loss_mask: 0.4090, decode.d8.loss_dice: 0.6499, loss: 13.4245, grad_norm: 44.1317 2023-11-12 15:37:21,469 - mmseg - INFO - Iter [121350/160000] lr: 2.416e-05, eta: 5:22:19, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1427, decode.loss_mask: 0.4107, decode.loss_dice: 0.6124, decode.d0.loss_cls: 1.0824, decode.d0.loss_mask: 0.4389, decode.d0.loss_dice: 0.6737, decode.d1.loss_cls: 0.1973, decode.d1.loss_mask: 0.4188, decode.d1.loss_dice: 0.6449, decode.d2.loss_cls: 0.1687, decode.d2.loss_mask: 0.4123, decode.d2.loss_dice: 0.6345, decode.d3.loss_cls: 0.1513, decode.d3.loss_mask: 0.4112, decode.d3.loss_dice: 0.6223, decode.d4.loss_cls: 0.1484, decode.d4.loss_mask: 0.4108, decode.d4.loss_dice: 0.6193, decode.d5.loss_cls: 0.1454, decode.d5.loss_mask: 0.4091, decode.d5.loss_dice: 0.6145, decode.d6.loss_cls: 0.1445, decode.d6.loss_mask: 0.4099, decode.d6.loss_dice: 0.6142, decode.d7.loss_cls: 0.1396, decode.d7.loss_mask: 0.4112, decode.d7.loss_dice: 0.6127, decode.d8.loss_cls: 0.1400, decode.d8.loss_mask: 0.4111, decode.d8.loss_dice: 0.6178, loss: 12.8706, grad_norm: 42.7356 2023-11-12 15:37:45,055 - mmseg - INFO - Iter [121400/160000] lr: 2.413e-05, eta: 5:21:54, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1652, decode.loss_mask: 0.4132, decode.loss_dice: 0.6443, decode.d0.loss_cls: 1.1251, decode.d0.loss_mask: 0.4448, decode.d0.loss_dice: 0.7039, decode.d1.loss_cls: 0.2253, decode.d1.loss_mask: 0.4243, decode.d1.loss_dice: 0.6753, decode.d2.loss_cls: 0.1923, decode.d2.loss_mask: 0.4201, decode.d2.loss_dice: 0.6584, decode.d3.loss_cls: 0.1815, decode.d3.loss_mask: 0.4181, decode.d3.loss_dice: 0.6432, decode.d4.loss_cls: 0.1748, decode.d4.loss_mask: 0.4159, decode.d4.loss_dice: 0.6478, decode.d5.loss_cls: 0.1671, decode.d5.loss_mask: 0.4146, decode.d5.loss_dice: 0.6459, decode.d6.loss_cls: 0.1702, decode.d6.loss_mask: 0.4122, decode.d6.loss_dice: 0.6418, decode.d7.loss_cls: 0.1652, decode.d7.loss_mask: 0.4131, decode.d7.loss_dice: 0.6475, decode.d8.loss_cls: 0.1630, decode.d8.loss_mask: 0.4135, decode.d8.loss_dice: 0.6468, loss: 13.4744, grad_norm: 44.6589 2023-11-12 15:38:08,567 - mmseg - INFO - Iter [121450/160000] lr: 2.409e-05, eta: 5:21:28, time: 0.470, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1671, decode.loss_mask: 0.4267, decode.loss_dice: 0.6413, decode.d0.loss_cls: 1.1290, decode.d0.loss_mask: 0.4607, decode.d0.loss_dice: 0.6967, decode.d1.loss_cls: 0.2310, decode.d1.loss_mask: 0.4405, decode.d1.loss_dice: 0.6709, decode.d2.loss_cls: 0.1921, decode.d2.loss_mask: 0.4343, decode.d2.loss_dice: 0.6570, decode.d3.loss_cls: 0.1822, decode.d3.loss_mask: 0.4301, decode.d3.loss_dice: 0.6442, decode.d4.loss_cls: 0.1762, decode.d4.loss_mask: 0.4280, decode.d4.loss_dice: 0.6436, decode.d5.loss_cls: 0.1651, decode.d5.loss_mask: 0.4286, decode.d5.loss_dice: 0.6459, decode.d6.loss_cls: 0.1615, decode.d6.loss_mask: 0.4276, decode.d6.loss_dice: 0.6431, decode.d7.loss_cls: 0.1647, decode.d7.loss_mask: 0.4271, decode.d7.loss_dice: 0.6406, decode.d8.loss_cls: 0.1644, decode.d8.loss_mask: 0.4277, decode.d8.loss_dice: 0.6419, loss: 13.5899, grad_norm: 48.0665 2023-11-12 15:38:32,245 - mmseg - INFO - Iter [121500/160000] lr: 2.406e-05, eta: 5:21:03, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1543, decode.loss_mask: 0.4288, decode.loss_dice: 0.6418, decode.d0.loss_cls: 1.1259, decode.d0.loss_mask: 0.4590, decode.d0.loss_dice: 0.6956, decode.d1.loss_cls: 0.2156, decode.d1.loss_mask: 0.4420, decode.d1.loss_dice: 0.6728, decode.d2.loss_cls: 0.1818, decode.d2.loss_mask: 0.4342, decode.d2.loss_dice: 0.6573, decode.d3.loss_cls: 0.1712, decode.d3.loss_mask: 0.4305, decode.d3.loss_dice: 0.6476, decode.d4.loss_cls: 0.1635, decode.d4.loss_mask: 0.4300, decode.d4.loss_dice: 0.6452, decode.d5.loss_cls: 0.1595, decode.d5.loss_mask: 0.4296, decode.d5.loss_dice: 0.6478, decode.d6.loss_cls: 0.1568, decode.d6.loss_mask: 0.4293, decode.d6.loss_dice: 0.6428, decode.d7.loss_cls: 0.1556, decode.d7.loss_mask: 0.4285, decode.d7.loss_dice: 0.6427, decode.d8.loss_cls: 0.1600, decode.d8.loss_mask: 0.4283, decode.d8.loss_dice: 0.6426, loss: 13.5204, grad_norm: 46.0300 2023-11-12 15:38:56,007 - mmseg - INFO - Iter [121550/160000] lr: 2.403e-05, eta: 5:20:38, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1631, decode.loss_mask: 0.4235, decode.loss_dice: 0.6496, decode.d0.loss_cls: 1.1477, decode.d0.loss_mask: 0.4512, decode.d0.loss_dice: 0.7088, decode.d1.loss_cls: 0.2198, decode.d1.loss_mask: 0.4335, decode.d1.loss_dice: 0.6868, decode.d2.loss_cls: 0.1914, decode.d2.loss_mask: 0.4310, decode.d2.loss_dice: 0.6704, decode.d3.loss_cls: 0.1843, decode.d3.loss_mask: 0.4242, decode.d3.loss_dice: 0.6536, decode.d4.loss_cls: 0.1744, decode.d4.loss_mask: 0.4219, decode.d4.loss_dice: 0.6588, decode.d5.loss_cls: 0.1696, decode.d5.loss_mask: 0.4222, decode.d5.loss_dice: 0.6536, decode.d6.loss_cls: 0.1675, decode.d6.loss_mask: 0.4229, decode.d6.loss_dice: 0.6490, decode.d7.loss_cls: 0.1663, decode.d7.loss_mask: 0.4222, decode.d7.loss_dice: 0.6496, decode.d8.loss_cls: 0.1644, decode.d8.loss_mask: 0.4233, decode.d8.loss_dice: 0.6525, loss: 13.6572, grad_norm: 46.3929 2023-11-12 15:39:19,756 - mmseg - INFO - Iter [121600/160000] lr: 2.400e-05, eta: 5:20:12, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1630, decode.loss_mask: 0.4328, decode.loss_dice: 0.6393, decode.d0.loss_cls: 1.1321, decode.d0.loss_mask: 0.4671, decode.d0.loss_dice: 0.7000, decode.d1.loss_cls: 0.2325, decode.d1.loss_mask: 0.4451, decode.d1.loss_dice: 0.6717, decode.d2.loss_cls: 0.1928, decode.d2.loss_mask: 0.4402, decode.d2.loss_dice: 0.6579, decode.d3.loss_cls: 0.1810, decode.d3.loss_mask: 0.4368, decode.d3.loss_dice: 0.6477, decode.d4.loss_cls: 0.1729, decode.d4.loss_mask: 0.4367, decode.d4.loss_dice: 0.6438, decode.d5.loss_cls: 0.1676, decode.d5.loss_mask: 0.4366, decode.d5.loss_dice: 0.6446, decode.d6.loss_cls: 0.1666, decode.d6.loss_mask: 0.4354, decode.d6.loss_dice: 0.6402, decode.d7.loss_cls: 0.1606, decode.d7.loss_mask: 0.4341, decode.d7.loss_dice: 0.6424, decode.d8.loss_cls: 0.1608, decode.d8.loss_mask: 0.4342, decode.d8.loss_dice: 0.6413, loss: 13.6575, grad_norm: 43.5714 2023-11-12 15:39:43,413 - mmseg - INFO - Iter [121650/160000] lr: 2.397e-05, eta: 5:19:47, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1603, decode.loss_mask: 0.4261, decode.loss_dice: 0.6445, decode.d0.loss_cls: 1.1087, decode.d0.loss_mask: 0.4594, decode.d0.loss_dice: 0.7012, decode.d1.loss_cls: 0.2220, decode.d1.loss_mask: 0.4393, decode.d1.loss_dice: 0.6734, decode.d2.loss_cls: 0.1928, decode.d2.loss_mask: 0.4322, decode.d2.loss_dice: 0.6634, decode.d3.loss_cls: 0.1751, decode.d3.loss_mask: 0.4301, decode.d3.loss_dice: 0.6512, decode.d4.loss_cls: 0.1731, decode.d4.loss_mask: 0.4282, decode.d4.loss_dice: 0.6482, decode.d5.loss_cls: 0.1688, decode.d5.loss_mask: 0.4270, decode.d5.loss_dice: 0.6499, decode.d6.loss_cls: 0.1685, decode.d6.loss_mask: 0.4273, decode.d6.loss_dice: 0.6438, decode.d7.loss_cls: 0.1612, decode.d7.loss_mask: 0.4264, decode.d7.loss_dice: 0.6465, decode.d8.loss_cls: 0.1588, decode.d8.loss_mask: 0.4260, decode.d8.loss_dice: 0.6463, loss: 13.5798, grad_norm: 46.4972 2023-11-12 15:40:07,471 - mmseg - INFO - Iter [121700/160000] lr: 2.394e-05, eta: 5:19:21, time: 0.481, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1577, decode.loss_mask: 0.4185, decode.loss_dice: 0.6452, decode.d0.loss_cls: 1.1221, decode.d0.loss_mask: 0.4445, decode.d0.loss_dice: 0.6997, decode.d1.loss_cls: 0.2207, decode.d1.loss_mask: 0.4299, decode.d1.loss_dice: 0.6754, decode.d2.loss_cls: 0.1893, decode.d2.loss_mask: 0.4236, decode.d2.loss_dice: 0.6624, decode.d3.loss_cls: 0.1734, decode.d3.loss_mask: 0.4215, decode.d3.loss_dice: 0.6514, decode.d4.loss_cls: 0.1684, decode.d4.loss_mask: 0.4200, decode.d4.loss_dice: 0.6533, decode.d5.loss_cls: 0.1634, decode.d5.loss_mask: 0.4193, decode.d5.loss_dice: 0.6481, decode.d6.loss_cls: 0.1596, decode.d6.loss_mask: 0.4194, decode.d6.loss_dice: 0.6477, decode.d7.loss_cls: 0.1583, decode.d7.loss_mask: 0.4179, decode.d7.loss_dice: 0.6451, decode.d8.loss_cls: 0.1567, decode.d8.loss_mask: 0.4188, decode.d8.loss_dice: 0.6482, loss: 13.4796, grad_norm: 45.8175 2023-11-12 15:40:31,223 - mmseg - INFO - Iter [121750/160000] lr: 2.391e-05, eta: 5:18:56, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1628, decode.loss_mask: 0.4155, decode.loss_dice: 0.6367, decode.d0.loss_cls: 1.1303, decode.d0.loss_mask: 0.4476, decode.d0.loss_dice: 0.6882, decode.d1.loss_cls: 0.2292, decode.d1.loss_mask: 0.4324, decode.d1.loss_dice: 0.6606, decode.d2.loss_cls: 0.1916, decode.d2.loss_mask: 0.4238, decode.d2.loss_dice: 0.6493, decode.d3.loss_cls: 0.1817, decode.d3.loss_mask: 0.4190, decode.d3.loss_dice: 0.6343, decode.d4.loss_cls: 0.1708, decode.d4.loss_mask: 0.4176, decode.d4.loss_dice: 0.6395, decode.d5.loss_cls: 0.1681, decode.d5.loss_mask: 0.4168, decode.d5.loss_dice: 0.6380, decode.d6.loss_cls: 0.1662, decode.d6.loss_mask: 0.4159, decode.d6.loss_dice: 0.6310, decode.d7.loss_cls: 0.1646, decode.d7.loss_mask: 0.4154, decode.d7.loss_dice: 0.6362, decode.d8.loss_cls: 0.1630, decode.d8.loss_mask: 0.4168, decode.d8.loss_dice: 0.6344, loss: 13.3973, grad_norm: 47.7065 2023-11-12 15:40:54,892 - mmseg - INFO - Iter [121800/160000] lr: 2.388e-05, eta: 5:18:31, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1547, decode.loss_mask: 0.4322, decode.loss_dice: 0.6430, decode.d0.loss_cls: 1.1041, decode.d0.loss_mask: 0.4626, decode.d0.loss_dice: 0.6970, decode.d1.loss_cls: 0.2118, decode.d1.loss_mask: 0.4430, decode.d1.loss_dice: 0.6724, decode.d2.loss_cls: 0.1805, decode.d2.loss_mask: 0.4362, decode.d2.loss_dice: 0.6576, decode.d3.loss_cls: 0.1703, decode.d3.loss_mask: 0.4352, decode.d3.loss_dice: 0.6487, decode.d4.loss_cls: 0.1653, decode.d4.loss_mask: 0.4330, decode.d4.loss_dice: 0.6475, decode.d5.loss_cls: 0.1588, decode.d5.loss_mask: 0.4328, decode.d5.loss_dice: 0.6485, decode.d6.loss_cls: 0.1627, decode.d6.loss_mask: 0.4314, decode.d6.loss_dice: 0.6409, decode.d7.loss_cls: 0.1573, decode.d7.loss_mask: 0.4314, decode.d7.loss_dice: 0.6420, decode.d8.loss_cls: 0.1584, decode.d8.loss_mask: 0.4311, decode.d8.loss_dice: 0.6475, loss: 13.5383, grad_norm: 48.1846 2023-11-12 15:41:18,515 - mmseg - INFO - Iter [121850/160000] lr: 2.384e-05, eta: 5:18:05, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1675, decode.loss_mask: 0.4215, decode.loss_dice: 0.6497, decode.d0.loss_cls: 1.1165, decode.d0.loss_mask: 0.4520, decode.d0.loss_dice: 0.6982, decode.d1.loss_cls: 0.2301, decode.d1.loss_mask: 0.4326, decode.d1.loss_dice: 0.6734, decode.d2.loss_cls: 0.1956, decode.d2.loss_mask: 0.4289, decode.d2.loss_dice: 0.6620, decode.d3.loss_cls: 0.1862, decode.d3.loss_mask: 0.4222, decode.d3.loss_dice: 0.6504, decode.d4.loss_cls: 0.1788, decode.d4.loss_mask: 0.4230, decode.d4.loss_dice: 0.6484, decode.d5.loss_cls: 0.1707, decode.d5.loss_mask: 0.4228, decode.d5.loss_dice: 0.6492, decode.d6.loss_cls: 0.1678, decode.d6.loss_mask: 0.4225, decode.d6.loss_dice: 0.6494, decode.d7.loss_cls: 0.1690, decode.d7.loss_mask: 0.4219, decode.d7.loss_dice: 0.6441, decode.d8.loss_cls: 0.1678, decode.d8.loss_mask: 0.4230, decode.d8.loss_dice: 0.6487, loss: 13.5940, grad_norm: 48.0184 2023-11-12 15:41:42,184 - mmseg - INFO - Iter [121900/160000] lr: 2.381e-05, eta: 5:17:40, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1679, decode.loss_mask: 0.4239, decode.loss_dice: 0.6275, decode.d0.loss_cls: 1.1406, decode.d0.loss_mask: 0.4626, decode.d0.loss_dice: 0.6912, decode.d1.loss_cls: 0.2304, decode.d1.loss_mask: 0.4423, decode.d1.loss_dice: 0.6680, decode.d2.loss_cls: 0.2013, decode.d2.loss_mask: 0.4327, decode.d2.loss_dice: 0.6488, decode.d3.loss_cls: 0.1854, decode.d3.loss_mask: 0.4276, decode.d3.loss_dice: 0.6380, decode.d4.loss_cls: 0.1788, decode.d4.loss_mask: 0.4257, decode.d4.loss_dice: 0.6377, decode.d5.loss_cls: 0.1742, decode.d5.loss_mask: 0.4247, decode.d5.loss_dice: 0.6335, decode.d6.loss_cls: 0.1727, decode.d6.loss_mask: 0.4247, decode.d6.loss_dice: 0.6320, decode.d7.loss_cls: 0.1672, decode.d7.loss_mask: 0.4237, decode.d7.loss_dice: 0.6290, decode.d8.loss_cls: 0.1672, decode.d8.loss_mask: 0.4242, decode.d8.loss_dice: 0.6307, loss: 13.5344, grad_norm: 48.9885 2023-11-12 15:42:05,887 - mmseg - INFO - Iter [121950/160000] lr: 2.378e-05, eta: 5:17:14, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1603, decode.loss_mask: 0.4159, decode.loss_dice: 0.6413, decode.d0.loss_cls: 1.1441, decode.d0.loss_mask: 0.4486, decode.d0.loss_dice: 0.6977, decode.d1.loss_cls: 0.2291, decode.d1.loss_mask: 0.4264, decode.d1.loss_dice: 0.6687, decode.d2.loss_cls: 0.1895, decode.d2.loss_mask: 0.4205, decode.d2.loss_dice: 0.6599, decode.d3.loss_cls: 0.1741, decode.d3.loss_mask: 0.4172, decode.d3.loss_dice: 0.6451, decode.d4.loss_cls: 0.1712, decode.d4.loss_mask: 0.4164, decode.d4.loss_dice: 0.6451, decode.d5.loss_cls: 0.1631, decode.d5.loss_mask: 0.4172, decode.d5.loss_dice: 0.6430, decode.d6.loss_cls: 0.1665, decode.d6.loss_mask: 0.4169, decode.d6.loss_dice: 0.6410, decode.d7.loss_cls: 0.1616, decode.d7.loss_mask: 0.4160, decode.d7.loss_dice: 0.6400, decode.d8.loss_cls: 0.1600, decode.d8.loss_mask: 0.4155, decode.d8.loss_dice: 0.6420, loss: 13.4539, grad_norm: 46.7331 2023-11-12 15:42:29,549 - mmseg - INFO - Saving checkpoint at 122000 iterations 2023-11-12 15:42:33,295 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 15:42:33,295 - mmseg - INFO - Iter [122000/160000] lr: 2.375e-05, eta: 5:16:50, time: 0.548, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1601, decode.loss_mask: 0.4235, decode.loss_dice: 0.6340, decode.d0.loss_cls: 1.1418, decode.d0.loss_mask: 0.4564, decode.d0.loss_dice: 0.6890, decode.d1.loss_cls: 0.2165, decode.d1.loss_mask: 0.4393, decode.d1.loss_dice: 0.6615, decode.d2.loss_cls: 0.1879, decode.d2.loss_mask: 0.4309, decode.d2.loss_dice: 0.6429, decode.d3.loss_cls: 0.1762, decode.d3.loss_mask: 0.4265, decode.d3.loss_dice: 0.6399, decode.d4.loss_cls: 0.1712, decode.d4.loss_mask: 0.4254, decode.d4.loss_dice: 0.6367, decode.d5.loss_cls: 0.1658, decode.d5.loss_mask: 0.4260, decode.d5.loss_dice: 0.6378, decode.d6.loss_cls: 0.1619, decode.d6.loss_mask: 0.4246, decode.d6.loss_dice: 0.6350, decode.d7.loss_cls: 0.1628, decode.d7.loss_mask: 0.4256, decode.d7.loss_dice: 0.6344, decode.d8.loss_cls: 0.1603, decode.d8.loss_mask: 0.4242, decode.d8.loss_dice: 0.6367, loss: 13.4548, grad_norm: 46.1985 2023-11-12 15:42:52,450 - mmseg - INFO - per class results: 2023-11-12 15:42:52,455 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.1 | 87.94 | | building | 82.15 | 92.45 | | sky | 94.79 | 97.3 | | floor | 83.09 | 89.75 | | tree | 74.64 | 87.35 | | ceiling | 84.61 | 91.57 | | road | 85.18 | 91.67 | | bed | 90.42 | 96.26 | | windowpane | 64.05 | 81.21 | | grass | 67.7 | 79.31 | | cabinet | 63.24 | 75.62 | | sidewalk | 66.95 | 80.13 | | person | 84.7 | 93.31 | | earth | 40.68 | 57.7 | | door | 51.42 | 63.94 | | table | 65.22 | 82.74 | | mountain | 66.01 | 85.51 | | plant | 52.12 | 64.36 | | curtain | 77.73 | 86.41 | | chair | 63.49 | 75.59 | | car | 84.02 | 92.01 | | water | 43.6 | 53.37 | | painting | 77.63 | 89.35 | | sofa | 70.84 | 84.01 | | shelf | 43.86 | 59.11 | | house | 34.01 | 51.52 | | sea | 54.45 | 91.29 | | mirror | 72.34 | 82.16 | | rug | 64.39 | 75.79 | | field | 31.04 | 52.58 | | armchair | 49.67 | 69.79 | | seat | 54.07 | 80.25 | | fence | 49.14 | 70.59 | | desk | 54.32 | 71.44 | | rock | 47.71 | 66.0 | | wardrobe | 44.68 | 67.53 | | lamp | 71.19 | 86.74 | | bathtub | 77.52 | 86.57 | | railing | 37.52 | 51.63 | | cushion | 64.03 | 77.51 | | base | 33.89 | 57.15 | | box | 27.64 | 37.12 | | column | 41.68 | 50.23 | | signboard | 38.4 | 55.15 | | chest of drawers | 34.01 | 49.9 | | counter | 31.82 | 36.46 | | sand | 33.81 | 45.54 | | sink | 77.25 | 81.54 | | skyscraper | 36.42 | 42.24 | | fireplace | 75.29 | 94.95 | | refrigerator | 78.38 | 83.25 | | grandstand | 39.77 | 70.31 | | path | 28.96 | 43.88 | | stairs | 29.29 | 38.3 | | runway | 84.68 | 92.47 | | case | 63.97 | 81.42 | | pool table | 95.34 | 97.83 | | pillow | 61.69 | 74.28 | | screen door | 51.41 | 58.82 | | stairway | 32.85 | 42.0 | | river | 16.22 | 28.56 | | bridge | 76.59 | 88.38 | | bookcase | 37.35 | 63.31 | | blind | 46.26 | 51.07 | | coffee table | 66.58 | 83.08 | | toilet | 88.78 | 91.76 | | flower | 43.16 | 63.81 | | book | 49.67 | 73.07 | | hill | 8.55 | 13.48 | | bench | 42.16 | 51.39 | | countertop | 57.96 | 73.09 | | stove | 84.44 | 89.61 | | palm | 57.14 | 73.34 | | kitchen island | 51.5 | 69.88 | | computer | 70.77 | 77.55 | | swivel chair | 46.5 | 66.31 | | boat | 45.35 | 51.42 | | bar | 37.66 | 48.01 | | arcade machine | 89.02 | 95.19 | | hovel | 36.3 | 53.11 | | bus | 94.4 | 95.83 | | towel | 73.77 | 81.15 | | light | 62.89 | 75.59 | | truck | 31.39 | 58.08 | | tower | 28.42 | 47.3 | | chandelier | 74.23 | 85.6 | | awning | 36.78 | 48.71 | | streetlight | 42.87 | 63.55 | | booth | 36.37 | 66.68 | | television receiver | 76.06 | 87.47 | | airplane | 69.17 | 77.54 | | dirt track | 20.87 | 42.23 | | apparel | 24.11 | 47.83 | | pole | 32.95 | 54.13 | | land | 7.45 | 9.23 | | bannister | 16.44 | 24.48 | | escalator | 20.27 | 21.71 | | ottoman | 53.46 | 71.19 | | bottle | 34.39 | 43.24 | | buffet | 45.57 | 54.76 | | poster | 23.6 | 34.35 | | stage | 13.77 | 30.22 | | van | 49.53 | 69.79 | | ship | 4.77 | 10.72 | | fountain | 18.56 | 21.76 | | conveyer belt | 54.08 | 75.59 | | canopy | 30.07 | 41.44 | | washer | 70.98 | 73.4 | | plaything | 27.92 | 48.27 | | swimming pool | 52.45 | 71.98 | | stool | 46.46 | 65.32 | | barrel | 90.52 | 97.78 | | basket | 38.65 | 48.04 | | waterfall | 65.45 | 94.89 | | tent | 94.6 | 98.31 | | bag | 17.78 | 23.35 | | minibike | 75.95 | 91.89 | | cradle | 85.95 | 97.51 | | oven | 24.03 | 67.15 | | ball | 32.38 | 38.91 | | food | 64.58 | 82.61 | | step | 19.36 | 25.25 | | tank | 50.14 | 65.72 | | trade name | 34.64 | 42.6 | | microwave | 42.05 | 46.33 | | pot | 47.52 | 54.83 | | animal | 58.21 | 59.86 | | bicycle | 56.84 | 79.04 | | lake | 38.14 | 63.6 | | dishwasher | 77.91 | 83.35 | | screen | 57.19 | 86.87 | | blanket | 25.17 | 30.63 | | sculpture | 62.28 | 86.11 | | hood | 70.71 | 75.72 | | sconce | 53.68 | 63.24 | | vase | 51.06 | 66.21 | | traffic light | 41.09 | 60.98 | | tray | 15.37 | 22.47 | | ashcan | 53.52 | 69.98 | | fan | 71.82 | 84.88 | | pier | 29.59 | 43.7 | | crt screen | 1.46 | 2.21 | | plate | 60.33 | 76.65 | | monitor | 55.4 | 79.68 | | bulletin board | 49.87 | 74.46 | | shower | 1.85 | 20.2 | | radiator | 74.12 | 84.57 | | glass | 21.27 | 22.86 | | clock | 56.29 | 71.42 | | flag | 45.76 | 52.78 | +---------------------+-------+-------+ 2023-11-12 15:42:52,455 - mmseg - INFO - Summary: 2023-11-12 15:42:52,456 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.81 | 51.99 | 65.29 | +-------+-------+-------+ 2023-11-12 15:42:52,456 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 15:42:52,456 - mmseg - INFO - Iter(val) [250] aAcc: 0.8381, mIoU: 0.5199, mAcc: 0.6529, IoU.wall: 0.7910, IoU.building: 0.8215, IoU.sky: 0.9479, IoU.floor: 0.8309, IoU.tree: 0.7464, IoU.ceiling: 0.8461, IoU.road: 0.8518, IoU.bed : 0.9042, IoU.windowpane: 0.6405, IoU.grass: 0.6770, IoU.cabinet: 0.6324, IoU.sidewalk: 0.6695, IoU.person: 0.8470, IoU.earth: 0.4068, IoU.door: 0.5142, IoU.table: 0.6522, IoU.mountain: 0.6601, IoU.plant: 0.5212, IoU.curtain: 0.7773, IoU.chair: 0.6349, IoU.car: 0.8402, IoU.water: 0.4360, IoU.painting: 0.7763, IoU.sofa: 0.7084, IoU.shelf: 0.4386, IoU.house: 0.3401, IoU.sea: 0.5445, IoU.mirror: 0.7234, IoU.rug: 0.6439, IoU.field: 0.3104, IoU.armchair: 0.4967, IoU.seat: 0.5407, IoU.fence: 0.4914, IoU.desk: 0.5432, IoU.rock: 0.4771, IoU.wardrobe: 0.4468, IoU.lamp: 0.7119, IoU.bathtub: 0.7752, IoU.railing: 0.3752, IoU.cushion: 0.6403, IoU.base: 0.3389, IoU.box: 0.2764, IoU.column: 0.4168, IoU.signboard: 0.3840, IoU.chest of drawers: 0.3401, IoU.counter: 0.3182, IoU.sand: 0.3381, IoU.sink: 0.7725, IoU.skyscraper: 0.3642, IoU.fireplace: 0.7529, IoU.refrigerator: 0.7838, IoU.grandstand: 0.3977, IoU.path: 0.2896, IoU.stairs: 0.2929, IoU.runway: 0.8468, IoU.case: 0.6397, IoU.pool table: 0.9534, IoU.pillow: 0.6169, IoU.screen door: 0.5141, IoU.stairway: 0.3285, IoU.river: 0.1622, IoU.bridge: 0.7659, IoU.bookcase: 0.3735, IoU.blind: 0.4626, IoU.coffee table: 0.6658, IoU.toilet: 0.8878, IoU.flower: 0.4316, IoU.book: 0.4967, IoU.hill: 0.0855, IoU.bench: 0.4216, IoU.countertop: 0.5796, IoU.stove: 0.8444, IoU.palm: 0.5714, IoU.kitchen island: 0.5150, IoU.computer: 0.7077, IoU.swivel chair: 0.4650, IoU.boat: 0.4535, IoU.bar: 0.3766, IoU.arcade machine: 0.8902, IoU.hovel: 0.3630, IoU.bus: 0.9440, IoU.towel: 0.7377, IoU.light: 0.6289, IoU.truck: 0.3139, IoU.tower: 0.2842, IoU.chandelier: 0.7423, IoU.awning: 0.3678, IoU.streetlight: 0.4287, IoU.booth: 0.3637, IoU.television receiver: 0.7606, IoU.airplane: 0.6917, IoU.dirt track: 0.2087, IoU.apparel: 0.2411, IoU.pole: 0.3295, IoU.land: 0.0745, IoU.bannister: 0.1644, IoU.escalator: 0.2027, IoU.ottoman: 0.5346, IoU.bottle: 0.3439, IoU.buffet: 0.4557, IoU.poster: 0.2360, IoU.stage: 0.1377, IoU.van: 0.4953, IoU.ship: 0.0477, IoU.fountain: 0.1856, IoU.conveyer belt: 0.5408, IoU.canopy: 0.3007, IoU.washer: 0.7098, IoU.plaything: 0.2792, IoU.swimming pool: 0.5245, IoU.stool: 0.4646, IoU.barrel: 0.9052, IoU.basket: 0.3865, IoU.waterfall: 0.6545, IoU.tent: 0.9460, IoU.bag: 0.1778, IoU.minibike: 0.7595, IoU.cradle: 0.8595, IoU.oven: 0.2403, IoU.ball: 0.3238, IoU.food: 0.6458, IoU.step: 0.1936, IoU.tank: 0.5014, IoU.trade name: 0.3464, IoU.microwave: 0.4205, IoU.pot: 0.4752, IoU.animal: 0.5821, IoU.bicycle: 0.5684, IoU.lake: 0.3814, IoU.dishwasher: 0.7791, IoU.screen: 0.5719, IoU.blanket: 0.2517, IoU.sculpture: 0.6228, IoU.hood: 0.7071, IoU.sconce: 0.5368, IoU.vase: 0.5106, IoU.traffic light: 0.4109, IoU.tray: 0.1537, IoU.ashcan: 0.5352, IoU.fan: 0.7182, IoU.pier: 0.2959, IoU.crt screen: 0.0146, IoU.plate: 0.6033, IoU.monitor: 0.5540, IoU.bulletin board: 0.4987, IoU.shower: 0.0185, IoU.radiator: 0.7412, IoU.glass: 0.2127, IoU.clock: 0.5629, IoU.flag: 0.4576, Acc.wall: 0.8794, Acc.building: 0.9245, Acc.sky: 0.9730, Acc.floor: 0.8975, Acc.tree: 0.8735, Acc.ceiling: 0.9157, Acc.road: 0.9167, Acc.bed : 0.9626, Acc.windowpane: 0.8121, Acc.grass: 0.7931, Acc.cabinet: 0.7562, Acc.sidewalk: 0.8013, Acc.person: 0.9331, Acc.earth: 0.5770, Acc.door: 0.6394, Acc.table: 0.8274, Acc.mountain: 0.8551, Acc.plant: 0.6436, Acc.curtain: 0.8641, Acc.chair: 0.7559, Acc.car: 0.9201, Acc.water: 0.5337, Acc.painting: 0.8935, Acc.sofa: 0.8401, Acc.shelf: 0.5911, Acc.house: 0.5152, Acc.sea: 0.9129, Acc.mirror: 0.8216, Acc.rug: 0.7579, Acc.field: 0.5258, Acc.armchair: 0.6979, Acc.seat: 0.8025, Acc.fence: 0.7059, Acc.desk: 0.7144, Acc.rock: 0.6600, Acc.wardrobe: 0.6753, Acc.lamp: 0.8674, Acc.bathtub: 0.8657, Acc.railing: 0.5163, Acc.cushion: 0.7751, Acc.base: 0.5715, Acc.box: 0.3712, Acc.column: 0.5023, Acc.signboard: 0.5515, Acc.chest of drawers: 0.4990, Acc.counter: 0.3646, Acc.sand: 0.4554, Acc.sink: 0.8154, Acc.skyscraper: 0.4224, Acc.fireplace: 0.9495, Acc.refrigerator: 0.8325, Acc.grandstand: 0.7031, Acc.path: 0.4388, Acc.stairs: 0.3830, Acc.runway: 0.9247, Acc.case: 0.8142, Acc.pool table: 0.9783, Acc.pillow: 0.7428, Acc.screen door: 0.5882, Acc.stairway: 0.4200, Acc.river: 0.2856, Acc.bridge: 0.8838, Acc.bookcase: 0.6331, Acc.blind: 0.5107, Acc.coffee table: 0.8308, Acc.toilet: 0.9176, Acc.flower: 0.6381, Acc.book: 0.7307, Acc.hill: 0.1348, Acc.bench: 0.5139, Acc.countertop: 0.7309, Acc.stove: 0.8961, Acc.palm: 0.7334, Acc.kitchen island: 0.6988, Acc.computer: 0.7755, Acc.swivel chair: 0.6631, Acc.boat: 0.5142, Acc.bar: 0.4801, Acc.arcade machine: 0.9519, Acc.hovel: 0.5311, Acc.bus: 0.9583, Acc.towel: 0.8115, Acc.light: 0.7559, Acc.truck: 0.5808, Acc.tower: 0.4730, Acc.chandelier: 0.8560, Acc.awning: 0.4871, Acc.streetlight: 0.6355, Acc.booth: 0.6668, Acc.television receiver: 0.8747, Acc.airplane: 0.7754, Acc.dirt track: 0.4223, Acc.apparel: 0.4783, Acc.pole: 0.5413, Acc.land: 0.0923, Acc.bannister: 0.2448, Acc.escalator: 0.2171, Acc.ottoman: 0.7119, Acc.bottle: 0.4324, Acc.buffet: 0.5476, Acc.poster: 0.3435, Acc.stage: 0.3022, Acc.van: 0.6979, Acc.ship: 0.1072, Acc.fountain: 0.2176, Acc.conveyer belt: 0.7559, Acc.canopy: 0.4144, Acc.washer: 0.7340, Acc.plaything: 0.4827, Acc.swimming pool: 0.7198, Acc.stool: 0.6532, Acc.barrel: 0.9778, Acc.basket: 0.4804, Acc.waterfall: 0.9489, Acc.tent: 0.9831, Acc.bag: 0.2335, Acc.minibike: 0.9189, Acc.cradle: 0.9751, Acc.oven: 0.6715, Acc.ball: 0.3891, Acc.food: 0.8261, Acc.step: 0.2525, Acc.tank: 0.6572, Acc.trade name: 0.4260, Acc.microwave: 0.4633, Acc.pot: 0.5483, Acc.animal: 0.5986, Acc.bicycle: 0.7904, Acc.lake: 0.6360, Acc.dishwasher: 0.8335, Acc.screen: 0.8687, Acc.blanket: 0.3063, Acc.sculpture: 0.8611, Acc.hood: 0.7572, Acc.sconce: 0.6324, Acc.vase: 0.6621, Acc.traffic light: 0.6098, Acc.tray: 0.2247, Acc.ashcan: 0.6998, Acc.fan: 0.8488, Acc.pier: 0.4370, Acc.crt screen: 0.0221, Acc.plate: 0.7665, Acc.monitor: 0.7968, Acc.bulletin board: 0.7446, Acc.shower: 0.2020, Acc.radiator: 0.8457, Acc.glass: 0.2286, Acc.clock: 0.7142, Acc.flag: 0.5278 2023-11-12 15:43:16,465 - mmseg - INFO - Iter [122050/160000] lr: 2.372e-05, eta: 5:16:31, time: 0.863, data_time: 0.396, memory: 41146, decode.loss_cls: 0.1506, decode.loss_mask: 0.4164, decode.loss_dice: 0.6376, decode.d0.loss_cls: 1.1318, decode.d0.loss_mask: 0.4463, decode.d0.loss_dice: 0.6875, decode.d1.loss_cls: 0.2110, decode.d1.loss_mask: 0.4269, decode.d1.loss_dice: 0.6661, decode.d2.loss_cls: 0.1778, decode.d2.loss_mask: 0.4227, decode.d2.loss_dice: 0.6510, decode.d3.loss_cls: 0.1655, decode.d3.loss_mask: 0.4194, decode.d3.loss_dice: 0.6411, decode.d4.loss_cls: 0.1603, decode.d4.loss_mask: 0.4194, decode.d4.loss_dice: 0.6357, decode.d5.loss_cls: 0.1569, decode.d5.loss_mask: 0.4174, decode.d5.loss_dice: 0.6394, decode.d6.loss_cls: 0.1523, decode.d6.loss_mask: 0.4154, decode.d6.loss_dice: 0.6352, decode.d7.loss_cls: 0.1517, decode.d7.loss_mask: 0.4164, decode.d7.loss_dice: 0.6348, decode.d8.loss_cls: 0.1472, decode.d8.loss_mask: 0.4167, decode.d8.loss_dice: 0.6397, loss: 13.2902, grad_norm: 43.8958 2023-11-12 15:43:40,562 - mmseg - INFO - Iter [122100/160000] lr: 2.369e-05, eta: 5:16:05, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1605, decode.loss_mask: 0.4084, decode.loss_dice: 0.6199, decode.d0.loss_cls: 1.1342, decode.d0.loss_mask: 0.4384, decode.d0.loss_dice: 0.6797, decode.d1.loss_cls: 0.2184, decode.d1.loss_mask: 0.4228, decode.d1.loss_dice: 0.6551, decode.d2.loss_cls: 0.1905, decode.d2.loss_mask: 0.4148, decode.d2.loss_dice: 0.6391, decode.d3.loss_cls: 0.1771, decode.d3.loss_mask: 0.4102, decode.d3.loss_dice: 0.6311, decode.d4.loss_cls: 0.1703, decode.d4.loss_mask: 0.4110, decode.d4.loss_dice: 0.6276, decode.d5.loss_cls: 0.1659, decode.d5.loss_mask: 0.4094, decode.d5.loss_dice: 0.6272, decode.d6.loss_cls: 0.1678, decode.d6.loss_mask: 0.4087, decode.d6.loss_dice: 0.6261, decode.d7.loss_cls: 0.1642, decode.d7.loss_mask: 0.4084, decode.d7.loss_dice: 0.6235, decode.d8.loss_cls: 0.1655, decode.d8.loss_mask: 0.4076, decode.d8.loss_dice: 0.6239, loss: 13.2073, grad_norm: 44.3195 2023-11-12 15:44:04,170 - mmseg - INFO - Iter [122150/160000] lr: 2.366e-05, eta: 5:15:40, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1496, decode.loss_mask: 0.4148, decode.loss_dice: 0.6274, decode.d0.loss_cls: 1.0813, decode.d0.loss_mask: 0.4459, decode.d0.loss_dice: 0.6741, decode.d1.loss_cls: 0.2023, decode.d1.loss_mask: 0.4286, decode.d1.loss_dice: 0.6567, decode.d2.loss_cls: 0.1752, decode.d2.loss_mask: 0.4202, decode.d2.loss_dice: 0.6409, decode.d3.loss_cls: 0.1663, decode.d3.loss_mask: 0.4168, decode.d3.loss_dice: 0.6321, decode.d4.loss_cls: 0.1606, decode.d4.loss_mask: 0.4167, decode.d4.loss_dice: 0.6281, decode.d5.loss_cls: 0.1545, decode.d5.loss_mask: 0.4153, decode.d5.loss_dice: 0.6277, decode.d6.loss_cls: 0.1557, decode.d6.loss_mask: 0.4144, decode.d6.loss_dice: 0.6232, decode.d7.loss_cls: 0.1547, decode.d7.loss_mask: 0.4144, decode.d7.loss_dice: 0.6276, decode.d8.loss_cls: 0.1492, decode.d8.loss_mask: 0.4150, decode.d8.loss_dice: 0.6278, loss: 13.1170, grad_norm: 45.0041 2023-11-12 15:44:27,954 - mmseg - INFO - Iter [122200/160000] lr: 2.363e-05, eta: 5:15:14, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1588, decode.loss_mask: 0.4400, decode.loss_dice: 0.6690, decode.d0.loss_cls: 1.1421, decode.d0.loss_mask: 0.4731, decode.d0.loss_dice: 0.7354, decode.d1.loss_cls: 0.2183, decode.d1.loss_mask: 0.4538, decode.d1.loss_dice: 0.7046, decode.d2.loss_cls: 0.1906, decode.d2.loss_mask: 0.4454, decode.d2.loss_dice: 0.6856, decode.d3.loss_cls: 0.1767, decode.d3.loss_mask: 0.4428, decode.d3.loss_dice: 0.6751, decode.d4.loss_cls: 0.1680, decode.d4.loss_mask: 0.4406, decode.d4.loss_dice: 0.6734, decode.d5.loss_cls: 0.1657, decode.d5.loss_mask: 0.4412, decode.d5.loss_dice: 0.6706, decode.d6.loss_cls: 0.1641, decode.d6.loss_mask: 0.4393, decode.d6.loss_dice: 0.6658, decode.d7.loss_cls: 0.1628, decode.d7.loss_mask: 0.4392, decode.d7.loss_dice: 0.6668, decode.d8.loss_cls: 0.1575, decode.d8.loss_mask: 0.4394, decode.d8.loss_dice: 0.6673, loss: 13.9733, grad_norm: 44.1109 2023-11-12 15:44:51,796 - mmseg - INFO - Iter [122250/160000] lr: 2.359e-05, eta: 5:14:49, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1714, decode.loss_mask: 0.4147, decode.loss_dice: 0.6403, decode.d0.loss_cls: 1.1508, decode.d0.loss_mask: 0.4408, decode.d0.loss_dice: 0.6998, decode.d1.loss_cls: 0.2327, decode.d1.loss_mask: 0.4264, decode.d1.loss_dice: 0.6732, decode.d2.loss_cls: 0.1940, decode.d2.loss_mask: 0.4180, decode.d2.loss_dice: 0.6537, decode.d3.loss_cls: 0.1802, decode.d3.loss_mask: 0.4142, decode.d3.loss_dice: 0.6445, decode.d4.loss_cls: 0.1735, decode.d4.loss_mask: 0.4151, decode.d4.loss_dice: 0.6445, decode.d5.loss_cls: 0.1714, decode.d5.loss_mask: 0.4159, decode.d5.loss_dice: 0.6396, decode.d6.loss_cls: 0.1696, decode.d6.loss_mask: 0.4136, decode.d6.loss_dice: 0.6376, decode.d7.loss_cls: 0.1735, decode.d7.loss_mask: 0.4144, decode.d7.loss_dice: 0.6413, decode.d8.loss_cls: 0.1663, decode.d8.loss_mask: 0.4151, decode.d8.loss_dice: 0.6398, loss: 13.4862, grad_norm: 47.2548 2023-11-12 15:45:15,654 - mmseg - INFO - Iter [122300/160000] lr: 2.356e-05, eta: 5:14:24, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1377, decode.loss_mask: 0.4300, decode.loss_dice: 0.6427, decode.d0.loss_cls: 1.0938, decode.d0.loss_mask: 0.4608, decode.d0.loss_dice: 0.6869, decode.d1.loss_cls: 0.1912, decode.d1.loss_mask: 0.4431, decode.d1.loss_dice: 0.6716, decode.d2.loss_cls: 0.1572, decode.d2.loss_mask: 0.4352, decode.d2.loss_dice: 0.6542, decode.d3.loss_cls: 0.1545, decode.d3.loss_mask: 0.4313, decode.d3.loss_dice: 0.6439, decode.d4.loss_cls: 0.1438, decode.d4.loss_mask: 0.4325, decode.d4.loss_dice: 0.6432, decode.d5.loss_cls: 0.1413, decode.d5.loss_mask: 0.4329, decode.d5.loss_dice: 0.6469, decode.d6.loss_cls: 0.1419, decode.d6.loss_mask: 0.4309, decode.d6.loss_dice: 0.6401, decode.d7.loss_cls: 0.1387, decode.d7.loss_mask: 0.4316, decode.d7.loss_dice: 0.6381, decode.d8.loss_cls: 0.1392, decode.d8.loss_mask: 0.4300, decode.d8.loss_dice: 0.6412, loss: 13.3064, grad_norm: 43.7128 2023-11-12 15:45:39,438 - mmseg - INFO - Iter [122350/160000] lr: 2.353e-05, eta: 5:13:58, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1535, decode.loss_mask: 0.4127, decode.loss_dice: 0.6282, decode.d0.loss_cls: 1.1143, decode.d0.loss_mask: 0.4421, decode.d0.loss_dice: 0.6836, decode.d1.loss_cls: 0.2103, decode.d1.loss_mask: 0.4221, decode.d1.loss_dice: 0.6533, decode.d2.loss_cls: 0.1798, decode.d2.loss_mask: 0.4169, decode.d2.loss_dice: 0.6404, decode.d3.loss_cls: 0.1668, decode.d3.loss_mask: 0.4145, decode.d3.loss_dice: 0.6370, decode.d4.loss_cls: 0.1614, decode.d4.loss_mask: 0.4141, decode.d4.loss_dice: 0.6324, decode.d5.loss_cls: 0.1543, decode.d5.loss_mask: 0.4127, decode.d5.loss_dice: 0.6331, decode.d6.loss_cls: 0.1551, decode.d6.loss_mask: 0.4122, decode.d6.loss_dice: 0.6293, decode.d7.loss_cls: 0.1535, decode.d7.loss_mask: 0.4116, decode.d7.loss_dice: 0.6301, decode.d8.loss_cls: 0.1497, decode.d8.loss_mask: 0.4125, decode.d8.loss_dice: 0.6319, loss: 13.1692, grad_norm: 45.9134 2023-11-12 15:46:03,104 - mmseg - INFO - Iter [122400/160000] lr: 2.350e-05, eta: 5:13:33, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1683, decode.loss_mask: 0.4292, decode.loss_dice: 0.6561, decode.d0.loss_cls: 1.1166, decode.d0.loss_mask: 0.4626, decode.d0.loss_dice: 0.7081, decode.d1.loss_cls: 0.2290, decode.d1.loss_mask: 0.4437, decode.d1.loss_dice: 0.6900, decode.d2.loss_cls: 0.1989, decode.d2.loss_mask: 0.4347, decode.d2.loss_dice: 0.6771, decode.d3.loss_cls: 0.1822, decode.d3.loss_mask: 0.4334, decode.d3.loss_dice: 0.6635, decode.d4.loss_cls: 0.1735, decode.d4.loss_mask: 0.4330, decode.d4.loss_dice: 0.6628, decode.d5.loss_cls: 0.1708, decode.d5.loss_mask: 0.4337, decode.d5.loss_dice: 0.6614, decode.d6.loss_cls: 0.1683, decode.d6.loss_mask: 0.4303, decode.d6.loss_dice: 0.6566, decode.d7.loss_cls: 0.1738, decode.d7.loss_mask: 0.4274, decode.d7.loss_dice: 0.6547, decode.d8.loss_cls: 0.1655, decode.d8.loss_mask: 0.4290, decode.d8.loss_dice: 0.6571, loss: 13.7913, grad_norm: 49.3892 2023-11-12 15:46:26,969 - mmseg - INFO - Iter [122450/160000] lr: 2.347e-05, eta: 5:13:07, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1522, decode.loss_mask: 0.4267, decode.loss_dice: 0.6359, decode.d0.loss_cls: 1.1175, decode.d0.loss_mask: 0.4589, decode.d0.loss_dice: 0.6859, decode.d1.loss_cls: 0.2167, decode.d1.loss_mask: 0.4365, decode.d1.loss_dice: 0.6645, decode.d2.loss_cls: 0.1781, decode.d2.loss_mask: 0.4314, decode.d2.loss_dice: 0.6513, decode.d3.loss_cls: 0.1628, decode.d3.loss_mask: 0.4286, decode.d3.loss_dice: 0.6374, decode.d4.loss_cls: 0.1566, decode.d4.loss_mask: 0.4277, decode.d4.loss_dice: 0.6349, decode.d5.loss_cls: 0.1538, decode.d5.loss_mask: 0.4283, decode.d5.loss_dice: 0.6374, decode.d6.loss_cls: 0.1556, decode.d6.loss_mask: 0.4297, decode.d6.loss_dice: 0.6355, decode.d7.loss_cls: 0.1537, decode.d7.loss_mask: 0.4292, decode.d7.loss_dice: 0.6362, decode.d8.loss_cls: 0.1488, decode.d8.loss_mask: 0.4271, decode.d8.loss_dice: 0.6347, loss: 13.3735, grad_norm: 42.6920 2023-11-12 15:46:51,016 - mmseg - INFO - Iter [122500/160000] lr: 2.344e-05, eta: 5:12:42, time: 0.481, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1641, decode.loss_mask: 0.4073, decode.loss_dice: 0.6320, decode.d0.loss_cls: 1.0961, decode.d0.loss_mask: 0.4378, decode.d0.loss_dice: 0.6924, decode.d1.loss_cls: 0.2296, decode.d1.loss_mask: 0.4162, decode.d1.loss_dice: 0.6603, decode.d2.loss_cls: 0.2008, decode.d2.loss_mask: 0.4112, decode.d2.loss_dice: 0.6418, decode.d3.loss_cls: 0.1809, decode.d3.loss_mask: 0.4087, decode.d3.loss_dice: 0.6332, decode.d4.loss_cls: 0.1767, decode.d4.loss_mask: 0.4073, decode.d4.loss_dice: 0.6321, decode.d5.loss_cls: 0.1705, decode.d5.loss_mask: 0.4063, decode.d5.loss_dice: 0.6332, decode.d6.loss_cls: 0.1661, decode.d6.loss_mask: 0.4075, decode.d6.loss_dice: 0.6287, decode.d7.loss_cls: 0.1631, decode.d7.loss_mask: 0.4063, decode.d7.loss_dice: 0.6333, decode.d8.loss_cls: 0.1630, decode.d8.loss_mask: 0.4049, decode.d8.loss_dice: 0.6299, loss: 13.2415, grad_norm: 41.2808 2023-11-12 15:47:17,106 - mmseg - INFO - Iter [122550/160000] lr: 2.341e-05, eta: 5:12:17, time: 0.522, data_time: 0.061, memory: 41146, decode.loss_cls: 0.1616, decode.loss_mask: 0.4389, decode.loss_dice: 0.6476, decode.d0.loss_cls: 1.1156, decode.d0.loss_mask: 0.4685, decode.d0.loss_dice: 0.7023, decode.d1.loss_cls: 0.2177, decode.d1.loss_mask: 0.4502, decode.d1.loss_dice: 0.6771, decode.d2.loss_cls: 0.1928, decode.d2.loss_mask: 0.4436, decode.d2.loss_dice: 0.6656, decode.d3.loss_cls: 0.1782, decode.d3.loss_mask: 0.4400, decode.d3.loss_dice: 0.6509, decode.d4.loss_cls: 0.1738, decode.d4.loss_mask: 0.4388, decode.d4.loss_dice: 0.6501, decode.d5.loss_cls: 0.1704, decode.d5.loss_mask: 0.4384, decode.d5.loss_dice: 0.6495, decode.d6.loss_cls: 0.1639, decode.d6.loss_mask: 0.4394, decode.d6.loss_dice: 0.6475, decode.d7.loss_cls: 0.1629, decode.d7.loss_mask: 0.4379, decode.d7.loss_dice: 0.6474, decode.d8.loss_cls: 0.1567, decode.d8.loss_mask: 0.4385, decode.d8.loss_dice: 0.6484, loss: 13.7140, grad_norm: 45.7107 2023-11-12 15:47:40,730 - mmseg - INFO - Iter [122600/160000] lr: 2.338e-05, eta: 5:11:52, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1679, decode.loss_mask: 0.4425, decode.loss_dice: 0.6607, decode.d0.loss_cls: 1.1128, decode.d0.loss_mask: 0.4750, decode.d0.loss_dice: 0.7083, decode.d1.loss_cls: 0.2274, decode.d1.loss_mask: 0.4551, decode.d1.loss_dice: 0.6865, decode.d2.loss_cls: 0.1914, decode.d2.loss_mask: 0.4481, decode.d2.loss_dice: 0.6693, decode.d3.loss_cls: 0.1827, decode.d3.loss_mask: 0.4461, decode.d3.loss_dice: 0.6599, decode.d4.loss_cls: 0.1771, decode.d4.loss_mask: 0.4453, decode.d4.loss_dice: 0.6595, decode.d5.loss_cls: 0.1737, decode.d5.loss_mask: 0.4429, decode.d5.loss_dice: 0.6598, decode.d6.loss_cls: 0.1724, decode.d6.loss_mask: 0.4436, decode.d6.loss_dice: 0.6590, decode.d7.loss_cls: 0.1700, decode.d7.loss_mask: 0.4425, decode.d7.loss_dice: 0.6572, decode.d8.loss_cls: 0.1661, decode.d8.loss_mask: 0.4428, decode.d8.loss_dice: 0.6596, loss: 13.9052, grad_norm: 46.8369 2023-11-12 15:48:04,443 - mmseg - INFO - Iter [122650/160000] lr: 2.334e-05, eta: 5:11:27, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1556, decode.loss_mask: 0.4157, decode.loss_dice: 0.6182, decode.d0.loss_cls: 1.1285, decode.d0.loss_mask: 0.4432, decode.d0.loss_dice: 0.6785, decode.d1.loss_cls: 0.2194, decode.d1.loss_mask: 0.4244, decode.d1.loss_dice: 0.6500, decode.d2.loss_cls: 0.1851, decode.d2.loss_mask: 0.4188, decode.d2.loss_dice: 0.6411, decode.d3.loss_cls: 0.1816, decode.d3.loss_mask: 0.4167, decode.d3.loss_dice: 0.6273, decode.d4.loss_cls: 0.1695, decode.d4.loss_mask: 0.4164, decode.d4.loss_dice: 0.6248, decode.d5.loss_cls: 0.1651, decode.d5.loss_mask: 0.4161, decode.d5.loss_dice: 0.6231, decode.d6.loss_cls: 0.1679, decode.d6.loss_mask: 0.4127, decode.d6.loss_dice: 0.6200, decode.d7.loss_cls: 0.1600, decode.d7.loss_mask: 0.4142, decode.d7.loss_dice: 0.6189, decode.d8.loss_cls: 0.1592, decode.d8.loss_mask: 0.4144, decode.d8.loss_dice: 0.6186, loss: 13.2051, grad_norm: 46.2059 2023-11-12 15:48:28,223 - mmseg - INFO - Iter [122700/160000] lr: 2.331e-05, eta: 5:11:01, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1537, decode.loss_mask: 0.4171, decode.loss_dice: 0.6443, decode.d0.loss_cls: 1.1183, decode.d0.loss_mask: 0.4417, decode.d0.loss_dice: 0.6942, decode.d1.loss_cls: 0.2164, decode.d1.loss_mask: 0.4278, decode.d1.loss_dice: 0.6707, decode.d2.loss_cls: 0.1895, decode.d2.loss_mask: 0.4230, decode.d2.loss_dice: 0.6531, decode.d3.loss_cls: 0.1768, decode.d3.loss_mask: 0.4170, decode.d3.loss_dice: 0.6485, decode.d4.loss_cls: 0.1690, decode.d4.loss_mask: 0.4157, decode.d4.loss_dice: 0.6431, decode.d5.loss_cls: 0.1640, decode.d5.loss_mask: 0.4168, decode.d5.loss_dice: 0.6464, decode.d6.loss_cls: 0.1662, decode.d6.loss_mask: 0.4176, decode.d6.loss_dice: 0.6458, decode.d7.loss_cls: 0.1621, decode.d7.loss_mask: 0.4160, decode.d7.loss_dice: 0.6458, decode.d8.loss_cls: 0.1575, decode.d8.loss_mask: 0.4168, decode.d8.loss_dice: 0.6445, loss: 13.4195, grad_norm: 45.6456 2023-11-12 15:48:52,074 - mmseg - INFO - Iter [122750/160000] lr: 2.328e-05, eta: 5:10:36, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1518, decode.loss_mask: 0.4101, decode.loss_dice: 0.6410, decode.d0.loss_cls: 1.1313, decode.d0.loss_mask: 0.4420, decode.d0.loss_dice: 0.6894, decode.d1.loss_cls: 0.2155, decode.d1.loss_mask: 0.4243, decode.d1.loss_dice: 0.6667, decode.d2.loss_cls: 0.1768, decode.d2.loss_mask: 0.4182, decode.d2.loss_dice: 0.6529, decode.d3.loss_cls: 0.1669, decode.d3.loss_mask: 0.4140, decode.d3.loss_dice: 0.6464, decode.d4.loss_cls: 0.1664, decode.d4.loss_mask: 0.4128, decode.d4.loss_dice: 0.6420, decode.d5.loss_cls: 0.1589, decode.d5.loss_mask: 0.4131, decode.d5.loss_dice: 0.6451, decode.d6.loss_cls: 0.1584, decode.d6.loss_mask: 0.4121, decode.d6.loss_dice: 0.6407, decode.d7.loss_cls: 0.1573, decode.d7.loss_mask: 0.4111, decode.d7.loss_dice: 0.6413, decode.d8.loss_cls: 0.1493, decode.d8.loss_mask: 0.4106, decode.d8.loss_dice: 0.6402, loss: 13.3066, grad_norm: 52.1766 2023-11-12 15:49:15,772 - mmseg - INFO - Iter [122800/160000] lr: 2.325e-05, eta: 5:10:10, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1588, decode.loss_mask: 0.4066, decode.loss_dice: 0.6326, decode.d0.loss_cls: 1.1288, decode.d0.loss_mask: 0.4396, decode.d0.loss_dice: 0.6907, decode.d1.loss_cls: 0.2113, decode.d1.loss_mask: 0.4209, decode.d1.loss_dice: 0.6611, decode.d2.loss_cls: 0.1890, decode.d2.loss_mask: 0.4119, decode.d2.loss_dice: 0.6457, decode.d3.loss_cls: 0.1809, decode.d3.loss_mask: 0.4087, decode.d3.loss_dice: 0.6390, decode.d4.loss_cls: 0.1747, decode.d4.loss_mask: 0.4083, decode.d4.loss_dice: 0.6337, decode.d5.loss_cls: 0.1636, decode.d5.loss_mask: 0.4084, decode.d5.loss_dice: 0.6350, decode.d6.loss_cls: 0.1680, decode.d6.loss_mask: 0.4085, decode.d6.loss_dice: 0.6279, decode.d7.loss_cls: 0.1628, decode.d7.loss_mask: 0.4074, decode.d7.loss_dice: 0.6267, decode.d8.loss_cls: 0.1608, decode.d8.loss_mask: 0.4075, decode.d8.loss_dice: 0.6284, loss: 13.2471, grad_norm: 49.3475 2023-11-12 15:49:39,636 - mmseg - INFO - Iter [122850/160000] lr: 2.322e-05, eta: 5:09:45, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1397, decode.loss_mask: 0.4110, decode.loss_dice: 0.6323, decode.d0.loss_cls: 1.0799, decode.d0.loss_mask: 0.4347, decode.d0.loss_dice: 0.6834, decode.d1.loss_cls: 0.1996, decode.d1.loss_mask: 0.4205, decode.d1.loss_dice: 0.6602, decode.d2.loss_cls: 0.1735, decode.d2.loss_mask: 0.4160, decode.d2.loss_dice: 0.6449, decode.d3.loss_cls: 0.1594, decode.d3.loss_mask: 0.4131, decode.d3.loss_dice: 0.6340, decode.d4.loss_cls: 0.1514, decode.d4.loss_mask: 0.4120, decode.d4.loss_dice: 0.6339, decode.d5.loss_cls: 0.1472, decode.d5.loss_mask: 0.4119, decode.d5.loss_dice: 0.6312, decode.d6.loss_cls: 0.1507, decode.d6.loss_mask: 0.4117, decode.d6.loss_dice: 0.6285, decode.d7.loss_cls: 0.1470, decode.d7.loss_mask: 0.4111, decode.d7.loss_dice: 0.6311, decode.d8.loss_cls: 0.1419, decode.d8.loss_mask: 0.4114, decode.d8.loss_dice: 0.6332, loss: 13.0566, grad_norm: 47.3783 2023-11-12 15:50:03,758 - mmseg - INFO - Iter [122900/160000] lr: 2.319e-05, eta: 5:09:20, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1683, decode.loss_mask: 0.4127, decode.loss_dice: 0.6365, decode.d0.loss_cls: 1.1361, decode.d0.loss_mask: 0.4450, decode.d0.loss_dice: 0.6930, decode.d1.loss_cls: 0.2249, decode.d1.loss_mask: 0.4230, decode.d1.loss_dice: 0.6653, decode.d2.loss_cls: 0.1945, decode.d2.loss_mask: 0.4184, decode.d2.loss_dice: 0.6518, decode.d3.loss_cls: 0.1863, decode.d3.loss_mask: 0.4154, decode.d3.loss_dice: 0.6393, decode.d4.loss_cls: 0.1756, decode.d4.loss_mask: 0.4134, decode.d4.loss_dice: 0.6398, decode.d5.loss_cls: 0.1732, decode.d5.loss_mask: 0.4148, decode.d5.loss_dice: 0.6390, decode.d6.loss_cls: 0.1701, decode.d6.loss_mask: 0.4117, decode.d6.loss_dice: 0.6354, decode.d7.loss_cls: 0.1722, decode.d7.loss_mask: 0.4121, decode.d7.loss_dice: 0.6366, decode.d8.loss_cls: 0.1655, decode.d8.loss_mask: 0.4126, decode.d8.loss_dice: 0.6381, loss: 13.4204, grad_norm: 43.6140 2023-11-12 15:50:27,560 - mmseg - INFO - Iter [122950/160000] lr: 2.316e-05, eta: 5:08:54, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1375, decode.loss_mask: 0.4178, decode.loss_dice: 0.6167, decode.d0.loss_cls: 1.0839, decode.d0.loss_mask: 0.4479, decode.d0.loss_dice: 0.6645, decode.d1.loss_cls: 0.1964, decode.d1.loss_mask: 0.4283, decode.d1.loss_dice: 0.6481, decode.d2.loss_cls: 0.1692, decode.d2.loss_mask: 0.4221, decode.d2.loss_dice: 0.6327, decode.d3.loss_cls: 0.1546, decode.d3.loss_mask: 0.4211, decode.d3.loss_dice: 0.6194, decode.d4.loss_cls: 0.1489, decode.d4.loss_mask: 0.4192, decode.d4.loss_dice: 0.6177, decode.d5.loss_cls: 0.1457, decode.d5.loss_mask: 0.4182, decode.d5.loss_dice: 0.6192, decode.d6.loss_cls: 0.1414, decode.d6.loss_mask: 0.4169, decode.d6.loss_dice: 0.6149, decode.d7.loss_cls: 0.1428, decode.d7.loss_mask: 0.4177, decode.d7.loss_dice: 0.6193, decode.d8.loss_cls: 0.1408, decode.d8.loss_mask: 0.4174, decode.d8.loss_dice: 0.6175, loss: 12.9579, grad_norm: 47.0329 2023-11-12 15:50:51,309 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 15:50:51,309 - mmseg - INFO - Iter [123000/160000] lr: 2.313e-05, eta: 5:08:29, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1524, decode.loss_mask: 0.4209, decode.loss_dice: 0.6476, decode.d0.loss_cls: 1.1058, decode.d0.loss_mask: 0.4537, decode.d0.loss_dice: 0.6930, decode.d1.loss_cls: 0.2180, decode.d1.loss_mask: 0.4311, decode.d1.loss_dice: 0.6725, decode.d2.loss_cls: 0.1821, decode.d2.loss_mask: 0.4266, decode.d2.loss_dice: 0.6614, decode.d3.loss_cls: 0.1775, decode.d3.loss_mask: 0.4238, decode.d3.loss_dice: 0.6565, decode.d4.loss_cls: 0.1643, decode.d4.loss_mask: 0.4243, decode.d4.loss_dice: 0.6527, decode.d5.loss_cls: 0.1648, decode.d5.loss_mask: 0.4217, decode.d5.loss_dice: 0.6486, decode.d6.loss_cls: 0.1580, decode.d6.loss_mask: 0.4208, decode.d6.loss_dice: 0.6492, decode.d7.loss_cls: 0.1563, decode.d7.loss_mask: 0.4206, decode.d7.loss_dice: 0.6504, decode.d8.loss_cls: 0.1500, decode.d8.loss_mask: 0.4209, decode.d8.loss_dice: 0.6520, loss: 13.4777, grad_norm: 46.8377 2023-11-12 15:51:14,977 - mmseg - INFO - Iter [123050/160000] lr: 2.309e-05, eta: 5:08:04, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1642, decode.loss_mask: 0.4113, decode.loss_dice: 0.6314, decode.d0.loss_cls: 1.1044, decode.d0.loss_mask: 0.4425, decode.d0.loss_dice: 0.6941, decode.d1.loss_cls: 0.2217, decode.d1.loss_mask: 0.4208, decode.d1.loss_dice: 0.6696, decode.d2.loss_cls: 0.1946, decode.d2.loss_mask: 0.4148, decode.d2.loss_dice: 0.6484, decode.d3.loss_cls: 0.1815, decode.d3.loss_mask: 0.4122, decode.d3.loss_dice: 0.6419, decode.d4.loss_cls: 0.1740, decode.d4.loss_mask: 0.4134, decode.d4.loss_dice: 0.6372, decode.d5.loss_cls: 0.1721, decode.d5.loss_mask: 0.4130, decode.d5.loss_dice: 0.6347, decode.d6.loss_cls: 0.1678, decode.d6.loss_mask: 0.4123, decode.d6.loss_dice: 0.6372, decode.d7.loss_cls: 0.1620, decode.d7.loss_mask: 0.4133, decode.d7.loss_dice: 0.6344, decode.d8.loss_cls: 0.1647, decode.d8.loss_mask: 0.4125, decode.d8.loss_dice: 0.6373, loss: 13.3393, grad_norm: 42.7346 2023-11-12 15:51:38,630 - mmseg - INFO - Iter [123100/160000] lr: 2.306e-05, eta: 5:07:38, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1658, decode.loss_mask: 0.4391, decode.loss_dice: 0.6510, decode.d0.loss_cls: 1.1091, decode.d0.loss_mask: 0.4716, decode.d0.loss_dice: 0.6969, decode.d1.loss_cls: 0.2241, decode.d1.loss_mask: 0.4502, decode.d1.loss_dice: 0.6774, decode.d2.loss_cls: 0.1969, decode.d2.loss_mask: 0.4451, decode.d2.loss_dice: 0.6598, decode.d3.loss_cls: 0.1814, decode.d3.loss_mask: 0.4415, decode.d3.loss_dice: 0.6538, decode.d4.loss_cls: 0.1694, decode.d4.loss_mask: 0.4400, decode.d4.loss_dice: 0.6537, decode.d5.loss_cls: 0.1700, decode.d5.loss_mask: 0.4406, decode.d5.loss_dice: 0.6523, decode.d6.loss_cls: 0.1741, decode.d6.loss_mask: 0.4383, decode.d6.loss_dice: 0.6468, decode.d7.loss_cls: 0.1670, decode.d7.loss_mask: 0.4390, decode.d7.loss_dice: 0.6492, decode.d8.loss_cls: 0.1672, decode.d8.loss_mask: 0.4386, decode.d8.loss_dice: 0.6505, loss: 13.7603, grad_norm: 47.5868 2023-11-12 15:52:02,499 - mmseg - INFO - Iter [123150/160000] lr: 2.303e-05, eta: 5:07:13, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1665, decode.loss_mask: 0.4242, decode.loss_dice: 0.6485, decode.d0.loss_cls: 1.1381, decode.d0.loss_mask: 0.4582, decode.d0.loss_dice: 0.7107, decode.d1.loss_cls: 0.2211, decode.d1.loss_mask: 0.4392, decode.d1.loss_dice: 0.6818, decode.d2.loss_cls: 0.1936, decode.d2.loss_mask: 0.4323, decode.d2.loss_dice: 0.6657, decode.d3.loss_cls: 0.1838, decode.d3.loss_mask: 0.4271, decode.d3.loss_dice: 0.6544, decode.d4.loss_cls: 0.1801, decode.d4.loss_mask: 0.4250, decode.d4.loss_dice: 0.6562, decode.d5.loss_cls: 0.1697, decode.d5.loss_mask: 0.4265, decode.d5.loss_dice: 0.6544, decode.d6.loss_cls: 0.1697, decode.d6.loss_mask: 0.4254, decode.d6.loss_dice: 0.6487, decode.d7.loss_cls: 0.1624, decode.d7.loss_mask: 0.4257, decode.d7.loss_dice: 0.6501, decode.d8.loss_cls: 0.1648, decode.d8.loss_mask: 0.4259, decode.d8.loss_dice: 0.6493, loss: 13.6792, grad_norm: 47.7646 2023-11-12 15:52:26,200 - mmseg - INFO - Iter [123200/160000] lr: 2.300e-05, eta: 5:06:47, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1613, decode.loss_mask: 0.4267, decode.loss_dice: 0.6498, decode.d0.loss_cls: 1.1116, decode.d0.loss_mask: 0.4561, decode.d0.loss_dice: 0.7025, decode.d1.loss_cls: 0.2159, decode.d1.loss_mask: 0.4389, decode.d1.loss_dice: 0.6775, decode.d2.loss_cls: 0.1937, decode.d2.loss_mask: 0.4301, decode.d2.loss_dice: 0.6647, decode.d3.loss_cls: 0.1765, decode.d3.loss_mask: 0.4273, decode.d3.loss_dice: 0.6556, decode.d4.loss_cls: 0.1703, decode.d4.loss_mask: 0.4257, decode.d4.loss_dice: 0.6554, decode.d5.loss_cls: 0.1669, decode.d5.loss_mask: 0.4262, decode.d5.loss_dice: 0.6543, decode.d6.loss_cls: 0.1644, decode.d6.loss_mask: 0.4256, decode.d6.loss_dice: 0.6484, decode.d7.loss_cls: 0.1599, decode.d7.loss_mask: 0.4258, decode.d7.loss_dice: 0.6525, decode.d8.loss_cls: 0.1583, decode.d8.loss_mask: 0.4245, decode.d8.loss_dice: 0.6488, loss: 13.5953, grad_norm: 49.4231 2023-11-12 15:52:49,931 - mmseg - INFO - Iter [123250/160000] lr: 2.297e-05, eta: 5:06:22, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1462, decode.loss_mask: 0.4370, decode.loss_dice: 0.6370, decode.d0.loss_cls: 1.0931, decode.d0.loss_mask: 0.4679, decode.d0.loss_dice: 0.6939, decode.d1.loss_cls: 0.2081, decode.d1.loss_mask: 0.4513, decode.d1.loss_dice: 0.6671, decode.d2.loss_cls: 0.1780, decode.d2.loss_mask: 0.4405, decode.d2.loss_dice: 0.6506, decode.d3.loss_cls: 0.1621, decode.d3.loss_mask: 0.4393, decode.d3.loss_dice: 0.6440, decode.d4.loss_cls: 0.1572, decode.d4.loss_mask: 0.4379, decode.d4.loss_dice: 0.6404, decode.d5.loss_cls: 0.1551, decode.d5.loss_mask: 0.4375, decode.d5.loss_dice: 0.6403, decode.d6.loss_cls: 0.1492, decode.d6.loss_mask: 0.4367, decode.d6.loss_dice: 0.6391, decode.d7.loss_cls: 0.1476, decode.d7.loss_mask: 0.4366, decode.d7.loss_dice: 0.6390, decode.d8.loss_cls: 0.1456, decode.d8.loss_mask: 0.4365, decode.d8.loss_dice: 0.6401, loss: 13.4549, grad_norm: 46.4386 2023-11-12 15:53:14,182 - mmseg - INFO - Iter [123300/160000] lr: 2.294e-05, eta: 5:05:57, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1425, decode.loss_mask: 0.4337, decode.loss_dice: 0.6291, decode.d0.loss_cls: 1.1256, decode.d0.loss_mask: 0.4646, decode.d0.loss_dice: 0.6748, decode.d1.loss_cls: 0.2079, decode.d1.loss_mask: 0.4450, decode.d1.loss_dice: 0.6590, decode.d2.loss_cls: 0.1767, decode.d2.loss_mask: 0.4373, decode.d2.loss_dice: 0.6367, decode.d3.loss_cls: 0.1671, decode.d3.loss_mask: 0.4354, decode.d3.loss_dice: 0.6314, decode.d4.loss_cls: 0.1620, decode.d4.loss_mask: 0.4351, decode.d4.loss_dice: 0.6280, decode.d5.loss_cls: 0.1593, decode.d5.loss_mask: 0.4336, decode.d5.loss_dice: 0.6306, decode.d6.loss_cls: 0.1561, decode.d6.loss_mask: 0.4328, decode.d6.loss_dice: 0.6287, decode.d7.loss_cls: 0.1525, decode.d7.loss_mask: 0.4335, decode.d7.loss_dice: 0.6258, decode.d8.loss_cls: 0.1484, decode.d8.loss_mask: 0.4342, decode.d8.loss_dice: 0.6298, loss: 13.3573, grad_norm: 49.7670 2023-11-12 15:53:38,017 - mmseg - INFO - Iter [123350/160000] lr: 2.291e-05, eta: 5:05:31, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1432, decode.loss_mask: 0.4126, decode.loss_dice: 0.6371, decode.d0.loss_cls: 1.1158, decode.d0.loss_mask: 0.4447, decode.d0.loss_dice: 0.6900, decode.d1.loss_cls: 0.2059, decode.d1.loss_mask: 0.4253, decode.d1.loss_dice: 0.6640, decode.d2.loss_cls: 0.1834, decode.d2.loss_mask: 0.4165, decode.d2.loss_dice: 0.6504, decode.d3.loss_cls: 0.1617, decode.d3.loss_mask: 0.4153, decode.d3.loss_dice: 0.6384, decode.d4.loss_cls: 0.1552, decode.d4.loss_mask: 0.4145, decode.d4.loss_dice: 0.6401, decode.d5.loss_cls: 0.1503, decode.d5.loss_mask: 0.4134, decode.d5.loss_dice: 0.6350, decode.d6.loss_cls: 0.1496, decode.d6.loss_mask: 0.4136, decode.d6.loss_dice: 0.6344, decode.d7.loss_cls: 0.1467, decode.d7.loss_mask: 0.4132, decode.d7.loss_dice: 0.6306, decode.d8.loss_cls: 0.1471, decode.d8.loss_mask: 0.4119, decode.d8.loss_dice: 0.6323, loss: 13.1922, grad_norm: 44.3598 2023-11-12 15:54:01,807 - mmseg - INFO - Iter [123400/160000] lr: 2.288e-05, eta: 5:05:06, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1662, decode.loss_mask: 0.4161, decode.loss_dice: 0.6559, decode.d0.loss_cls: 1.1473, decode.d0.loss_mask: 0.4437, decode.d0.loss_dice: 0.7062, decode.d1.loss_cls: 0.2243, decode.d1.loss_mask: 0.4276, decode.d1.loss_dice: 0.6823, decode.d2.loss_cls: 0.1974, decode.d2.loss_mask: 0.4224, decode.d2.loss_dice: 0.6712, decode.d3.loss_cls: 0.1814, decode.d3.loss_mask: 0.4196, decode.d3.loss_dice: 0.6610, decode.d4.loss_cls: 0.1793, decode.d4.loss_mask: 0.4195, decode.d4.loss_dice: 0.6576, decode.d5.loss_cls: 0.1693, decode.d5.loss_mask: 0.4177, decode.d5.loss_dice: 0.6604, decode.d6.loss_cls: 0.1687, decode.d6.loss_mask: 0.4174, decode.d6.loss_dice: 0.6564, decode.d7.loss_cls: 0.1682, decode.d7.loss_mask: 0.4165, decode.d7.loss_dice: 0.6541, decode.d8.loss_cls: 0.1627, decode.d8.loss_mask: 0.4166, decode.d8.loss_dice: 0.6560, loss: 13.6434, grad_norm: 47.3406 2023-11-12 15:54:25,593 - mmseg - INFO - Iter [123450/160000] lr: 2.284e-05, eta: 5:04:41, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1622, decode.loss_mask: 0.4090, decode.loss_dice: 0.6507, decode.d0.loss_cls: 1.1195, decode.d0.loss_mask: 0.4450, decode.d0.loss_dice: 0.7022, decode.d1.loss_cls: 0.2270, decode.d1.loss_mask: 0.4210, decode.d1.loss_dice: 0.6720, decode.d2.loss_cls: 0.1900, decode.d2.loss_mask: 0.4158, decode.d2.loss_dice: 0.6627, decode.d3.loss_cls: 0.1830, decode.d3.loss_mask: 0.4129, decode.d3.loss_dice: 0.6529, decode.d4.loss_cls: 0.1709, decode.d4.loss_mask: 0.4113, decode.d4.loss_dice: 0.6496, decode.d5.loss_cls: 0.1706, decode.d5.loss_mask: 0.4103, decode.d5.loss_dice: 0.6507, decode.d6.loss_cls: 0.1648, decode.d6.loss_mask: 0.4083, decode.d6.loss_dice: 0.6443, decode.d7.loss_cls: 0.1602, decode.d7.loss_mask: 0.4097, decode.d7.loss_dice: 0.6484, decode.d8.loss_cls: 0.1595, decode.d8.loss_mask: 0.4098, decode.d8.loss_dice: 0.6527, loss: 13.4470, grad_norm: 45.7253 2023-11-12 15:54:49,333 - mmseg - INFO - Iter [123500/160000] lr: 2.281e-05, eta: 5:04:15, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1649, decode.loss_mask: 0.4211, decode.loss_dice: 0.6484, decode.d0.loss_cls: 1.1250, decode.d0.loss_mask: 0.4514, decode.d0.loss_dice: 0.7035, decode.d1.loss_cls: 0.2296, decode.d1.loss_mask: 0.4330, decode.d1.loss_dice: 0.6690, decode.d2.loss_cls: 0.2035, decode.d2.loss_mask: 0.4271, decode.d2.loss_dice: 0.6616, decode.d3.loss_cls: 0.1885, decode.d3.loss_mask: 0.4255, decode.d3.loss_dice: 0.6513, decode.d4.loss_cls: 0.1806, decode.d4.loss_mask: 0.4233, decode.d4.loss_dice: 0.6520, decode.d5.loss_cls: 0.1768, decode.d5.loss_mask: 0.4219, decode.d5.loss_dice: 0.6461, decode.d6.loss_cls: 0.1749, decode.d6.loss_mask: 0.4220, decode.d6.loss_dice: 0.6467, decode.d7.loss_cls: 0.1681, decode.d7.loss_mask: 0.4204, decode.d7.loss_dice: 0.6457, decode.d8.loss_cls: 0.1688, decode.d8.loss_mask: 0.4226, decode.d8.loss_dice: 0.6511, loss: 13.6245, grad_norm: 46.9619 2023-11-12 15:55:13,156 - mmseg - INFO - Iter [123550/160000] lr: 2.278e-05, eta: 5:03:50, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1706, decode.loss_mask: 0.4387, decode.loss_dice: 0.6612, decode.d0.loss_cls: 1.1150, decode.d0.loss_mask: 0.4728, decode.d0.loss_dice: 0.7137, decode.d1.loss_cls: 0.2338, decode.d1.loss_mask: 0.4528, decode.d1.loss_dice: 0.6856, decode.d2.loss_cls: 0.2017, decode.d2.loss_mask: 0.4435, decode.d2.loss_dice: 0.6724, decode.d3.loss_cls: 0.1882, decode.d3.loss_mask: 0.4401, decode.d3.loss_dice: 0.6601, decode.d4.loss_cls: 0.1812, decode.d4.loss_mask: 0.4389, decode.d4.loss_dice: 0.6614, decode.d5.loss_cls: 0.1768, decode.d5.loss_mask: 0.4388, decode.d5.loss_dice: 0.6592, decode.d6.loss_cls: 0.1728, decode.d6.loss_mask: 0.4388, decode.d6.loss_dice: 0.6604, decode.d7.loss_cls: 0.1726, decode.d7.loss_mask: 0.4394, decode.d7.loss_dice: 0.6643, decode.d8.loss_cls: 0.1695, decode.d8.loss_mask: 0.4393, decode.d8.loss_dice: 0.6604, loss: 13.9238, grad_norm: 50.0063 2023-11-12 15:55:36,925 - mmseg - INFO - Iter [123600/160000] lr: 2.275e-05, eta: 5:03:25, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1680, decode.loss_mask: 0.4192, decode.loss_dice: 0.6517, decode.d0.loss_cls: 1.1253, decode.d0.loss_mask: 0.4510, decode.d0.loss_dice: 0.7094, decode.d1.loss_cls: 0.2204, decode.d1.loss_mask: 0.4323, decode.d1.loss_dice: 0.6787, decode.d2.loss_cls: 0.1980, decode.d2.loss_mask: 0.4249, decode.d2.loss_dice: 0.6744, decode.d3.loss_cls: 0.1854, decode.d3.loss_mask: 0.4234, decode.d3.loss_dice: 0.6599, decode.d4.loss_cls: 0.1758, decode.d4.loss_mask: 0.4221, decode.d4.loss_dice: 0.6576, decode.d5.loss_cls: 0.1757, decode.d5.loss_mask: 0.4213, decode.d5.loss_dice: 0.6539, decode.d6.loss_cls: 0.1715, decode.d6.loss_mask: 0.4191, decode.d6.loss_dice: 0.6509, decode.d7.loss_cls: 0.1682, decode.d7.loss_mask: 0.4199, decode.d7.loss_dice: 0.6557, decode.d8.loss_cls: 0.1658, decode.d8.loss_mask: 0.4196, decode.d8.loss_dice: 0.6541, loss: 13.6535, grad_norm: 48.1648 2023-11-12 15:56:00,727 - mmseg - INFO - Iter [123650/160000] lr: 2.272e-05, eta: 5:02:59, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1757, decode.loss_mask: 0.4172, decode.loss_dice: 0.6341, decode.d0.loss_cls: 1.1279, decode.d0.loss_mask: 0.4526, decode.d0.loss_dice: 0.6940, decode.d1.loss_cls: 0.2270, decode.d1.loss_mask: 0.4339, decode.d1.loss_dice: 0.6651, decode.d2.loss_cls: 0.2028, decode.d2.loss_mask: 0.4250, decode.d2.loss_dice: 0.6534, decode.d3.loss_cls: 0.1904, decode.d3.loss_mask: 0.4184, decode.d3.loss_dice: 0.6403, decode.d4.loss_cls: 0.1872, decode.d4.loss_mask: 0.4166, decode.d4.loss_dice: 0.6411, decode.d5.loss_cls: 0.1821, decode.d5.loss_mask: 0.4182, decode.d5.loss_dice: 0.6410, decode.d6.loss_cls: 0.1787, decode.d6.loss_mask: 0.4177, decode.d6.loss_dice: 0.6357, decode.d7.loss_cls: 0.1780, decode.d7.loss_mask: 0.4170, decode.d7.loss_dice: 0.6364, decode.d8.loss_cls: 0.1762, decode.d8.loss_mask: 0.4164, decode.d8.loss_dice: 0.6363, loss: 13.5364, grad_norm: 45.9199 2023-11-12 15:56:24,478 - mmseg - INFO - Iter [123700/160000] lr: 2.269e-05, eta: 5:02:34, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1531, decode.loss_mask: 0.4354, decode.loss_dice: 0.6238, decode.d0.loss_cls: 1.0762, decode.d0.loss_mask: 0.4676, decode.d0.loss_dice: 0.6770, decode.d1.loss_cls: 0.2092, decode.d1.loss_mask: 0.4484, decode.d1.loss_dice: 0.6521, decode.d2.loss_cls: 0.1785, decode.d2.loss_mask: 0.4412, decode.d2.loss_dice: 0.6424, decode.d3.loss_cls: 0.1700, decode.d3.loss_mask: 0.4366, decode.d3.loss_dice: 0.6268, decode.d4.loss_cls: 0.1609, decode.d4.loss_mask: 0.4347, decode.d4.loss_dice: 0.6282, decode.d5.loss_cls: 0.1581, decode.d5.loss_mask: 0.4367, decode.d5.loss_dice: 0.6255, decode.d6.loss_cls: 0.1576, decode.d6.loss_mask: 0.4364, decode.d6.loss_dice: 0.6232, decode.d7.loss_cls: 0.1558, decode.d7.loss_mask: 0.4352, decode.d7.loss_dice: 0.6235, decode.d8.loss_cls: 0.1555, decode.d8.loss_mask: 0.4375, decode.d8.loss_dice: 0.6247, loss: 13.3316, grad_norm: 50.3840 2023-11-12 15:56:48,351 - mmseg - INFO - Iter [123750/160000] lr: 2.266e-05, eta: 5:02:09, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1721, decode.loss_mask: 0.4153, decode.loss_dice: 0.6392, decode.d0.loss_cls: 1.1281, decode.d0.loss_mask: 0.4460, decode.d0.loss_dice: 0.6899, decode.d1.loss_cls: 0.2349, decode.d1.loss_mask: 0.4259, decode.d1.loss_dice: 0.6657, decode.d2.loss_cls: 0.1974, decode.d2.loss_mask: 0.4218, decode.d2.loss_dice: 0.6490, decode.d3.loss_cls: 0.1941, decode.d3.loss_mask: 0.4164, decode.d3.loss_dice: 0.6395, decode.d4.loss_cls: 0.1854, decode.d4.loss_mask: 0.4158, decode.d4.loss_dice: 0.6381, decode.d5.loss_cls: 0.1822, decode.d5.loss_mask: 0.4156, decode.d5.loss_dice: 0.6404, decode.d6.loss_cls: 0.1759, decode.d6.loss_mask: 0.4157, decode.d6.loss_dice: 0.6377, decode.d7.loss_cls: 0.1746, decode.d7.loss_mask: 0.4153, decode.d7.loss_dice: 0.6358, decode.d8.loss_cls: 0.1729, decode.d8.loss_mask: 0.4160, decode.d8.loss_dice: 0.6377, loss: 13.4945, grad_norm: 48.6909 2023-11-12 15:57:14,269 - mmseg - INFO - Iter [123800/160000] lr: 2.263e-05, eta: 5:01:44, time: 0.518, data_time: 0.057, memory: 41146, decode.loss_cls: 0.1629, decode.loss_mask: 0.4377, decode.loss_dice: 0.6491, decode.d0.loss_cls: 1.1255, decode.d0.loss_mask: 0.4738, decode.d0.loss_dice: 0.7097, decode.d1.loss_cls: 0.2246, decode.d1.loss_mask: 0.4474, decode.d1.loss_dice: 0.6875, decode.d2.loss_cls: 0.1903, decode.d2.loss_mask: 0.4419, decode.d2.loss_dice: 0.6681, decode.d3.loss_cls: 0.1807, decode.d3.loss_mask: 0.4398, decode.d3.loss_dice: 0.6575, decode.d4.loss_cls: 0.1765, decode.d4.loss_mask: 0.4372, decode.d4.loss_dice: 0.6563, decode.d5.loss_cls: 0.1674, decode.d5.loss_mask: 0.4381, decode.d5.loss_dice: 0.6569, decode.d6.loss_cls: 0.1658, decode.d6.loss_mask: 0.4380, decode.d6.loss_dice: 0.6496, decode.d7.loss_cls: 0.1656, decode.d7.loss_mask: 0.4369, decode.d7.loss_dice: 0.6530, decode.d8.loss_cls: 0.1636, decode.d8.loss_mask: 0.4367, decode.d8.loss_dice: 0.6502, loss: 13.7885, grad_norm: 43.7872 2023-11-12 15:57:37,929 - mmseg - INFO - Iter [123850/160000] lr: 2.259e-05, eta: 5:01:18, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1494, decode.loss_mask: 0.4047, decode.loss_dice: 0.6240, decode.d0.loss_cls: 1.1234, decode.d0.loss_mask: 0.4391, decode.d0.loss_dice: 0.6795, decode.d1.loss_cls: 0.2083, decode.d1.loss_mask: 0.4167, decode.d1.loss_dice: 0.6582, decode.d2.loss_cls: 0.1812, decode.d2.loss_mask: 0.4094, decode.d2.loss_dice: 0.6386, decode.d3.loss_cls: 0.1681, decode.d3.loss_mask: 0.4065, decode.d3.loss_dice: 0.6280, decode.d4.loss_cls: 0.1584, decode.d4.loss_mask: 0.4068, decode.d4.loss_dice: 0.6313, decode.d5.loss_cls: 0.1560, decode.d5.loss_mask: 0.4062, decode.d5.loss_dice: 0.6273, decode.d6.loss_cls: 0.1533, decode.d6.loss_mask: 0.4055, decode.d6.loss_dice: 0.6265, decode.d7.loss_cls: 0.1536, decode.d7.loss_mask: 0.4054, decode.d7.loss_dice: 0.6271, decode.d8.loss_cls: 0.1506, decode.d8.loss_mask: 0.4057, decode.d8.loss_dice: 0.6262, loss: 13.0749, grad_norm: 45.6444 2023-11-12 15:58:01,520 - mmseg - INFO - Iter [123900/160000] lr: 2.256e-05, eta: 5:00:53, time: 0.472, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1427, decode.loss_mask: 0.4235, decode.loss_dice: 0.6430, decode.d0.loss_cls: 1.0831, decode.d0.loss_mask: 0.4565, decode.d0.loss_dice: 0.6947, decode.d1.loss_cls: 0.2050, decode.d1.loss_mask: 0.4371, decode.d1.loss_dice: 0.6747, decode.d2.loss_cls: 0.1780, decode.d2.loss_mask: 0.4324, decode.d2.loss_dice: 0.6640, decode.d3.loss_cls: 0.1620, decode.d3.loss_mask: 0.4300, decode.d3.loss_dice: 0.6479, decode.d4.loss_cls: 0.1584, decode.d4.loss_mask: 0.4284, decode.d4.loss_dice: 0.6482, decode.d5.loss_cls: 0.1525, decode.d5.loss_mask: 0.4265, decode.d5.loss_dice: 0.6449, decode.d6.loss_cls: 0.1455, decode.d6.loss_mask: 0.4253, decode.d6.loss_dice: 0.6446, decode.d7.loss_cls: 0.1459, decode.d7.loss_mask: 0.4251, decode.d7.loss_dice: 0.6475, decode.d8.loss_cls: 0.1481, decode.d8.loss_mask: 0.4245, decode.d8.loss_dice: 0.6448, loss: 13.3845, grad_norm: 48.5435 2023-11-12 15:58:25,157 - mmseg - INFO - Iter [123950/160000] lr: 2.253e-05, eta: 5:00:28, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1575, decode.loss_mask: 0.4183, decode.loss_dice: 0.6313, decode.d0.loss_cls: 1.0991, decode.d0.loss_mask: 0.4476, decode.d0.loss_dice: 0.6840, decode.d1.loss_cls: 0.2240, decode.d1.loss_mask: 0.4287, decode.d1.loss_dice: 0.6653, decode.d2.loss_cls: 0.1853, decode.d2.loss_mask: 0.4263, decode.d2.loss_dice: 0.6493, decode.d3.loss_cls: 0.1705, decode.d3.loss_mask: 0.4216, decode.d3.loss_dice: 0.6389, decode.d4.loss_cls: 0.1697, decode.d4.loss_mask: 0.4209, decode.d4.loss_dice: 0.6366, decode.d5.loss_cls: 0.1645, decode.d5.loss_mask: 0.4193, decode.d5.loss_dice: 0.6363, decode.d6.loss_cls: 0.1624, decode.d6.loss_mask: 0.4193, decode.d6.loss_dice: 0.6335, decode.d7.loss_cls: 0.1608, decode.d7.loss_mask: 0.4199, decode.d7.loss_dice: 0.6321, decode.d8.loss_cls: 0.1593, decode.d8.loss_mask: 0.4194, decode.d8.loss_dice: 0.6335, loss: 13.3350, grad_norm: 50.1605 2023-11-12 15:58:49,126 - mmseg - INFO - Saving checkpoint at 124000 iterations 2023-11-12 15:58:52,962 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 15:58:52,962 - mmseg - INFO - Iter [124000/160000] lr: 2.250e-05, eta: 5:00:03, time: 0.556, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1502, decode.loss_mask: 0.4083, decode.loss_dice: 0.6414, decode.d0.loss_cls: 1.1007, decode.d0.loss_mask: 0.4428, decode.d0.loss_dice: 0.7026, decode.d1.loss_cls: 0.2081, decode.d1.loss_mask: 0.4209, decode.d1.loss_dice: 0.6749, decode.d2.loss_cls: 0.1769, decode.d2.loss_mask: 0.4144, decode.d2.loss_dice: 0.6595, decode.d3.loss_cls: 0.1679, decode.d3.loss_mask: 0.4105, decode.d3.loss_dice: 0.6483, decode.d4.loss_cls: 0.1597, decode.d4.loss_mask: 0.4101, decode.d4.loss_dice: 0.6478, decode.d5.loss_cls: 0.1569, decode.d5.loss_mask: 0.4094, decode.d5.loss_dice: 0.6462, decode.d6.loss_cls: 0.1547, decode.d6.loss_mask: 0.4091, decode.d6.loss_dice: 0.6400, decode.d7.loss_cls: 0.1528, decode.d7.loss_mask: 0.4092, decode.d7.loss_dice: 0.6400, decode.d8.loss_cls: 0.1501, decode.d8.loss_mask: 0.4087, decode.d8.loss_dice: 0.6446, loss: 13.2669, grad_norm: 47.1523 2023-11-12 15:59:11,931 - mmseg - INFO - per class results: 2023-11-12 15:59:11,937 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.83 | 87.66 | | building | 82.18 | 92.74 | | sky | 94.63 | 97.13 | | floor | 83.79 | 90.68 | | tree | 75.41 | 86.98 | | ceiling | 84.3 | 89.98 | | road | 85.18 | 91.15 | | bed | 90.79 | 95.96 | | windowpane | 63.07 | 79.42 | | grass | 67.4 | 78.31 | | cabinet | 64.06 | 76.93 | | sidewalk | 67.26 | 80.61 | | person | 84.86 | 93.69 | | earth | 42.0 | 60.35 | | door | 49.08 | 66.34 | | table | 66.27 | 81.98 | | mountain | 64.18 | 75.62 | | plant | 52.05 | 68.45 | | curtain | 77.43 | 88.32 | | chair | 61.93 | 74.05 | | car | 86.37 | 91.88 | | water | 60.09 | 76.56 | | painting | 77.77 | 89.92 | | sofa | 70.81 | 84.17 | | shelf | 43.07 | 60.78 | | house | 29.59 | 42.11 | | sea | 69.86 | 90.42 | | mirror | 71.51 | 81.85 | | rug | 68.18 | 80.91 | | field | 31.64 | 52.84 | | armchair | 49.56 | 68.97 | | seat | 63.34 | 79.76 | | fence | 48.55 | 65.06 | | desk | 55.03 | 72.92 | | rock | 46.63 | 78.53 | | wardrobe | 49.27 | 63.21 | | lamp | 72.06 | 84.96 | | bathtub | 77.85 | 91.58 | | railing | 38.29 | 53.06 | | cushion | 65.13 | 78.14 | | base | 35.65 | 59.5 | | box | 29.71 | 38.43 | | column | 47.09 | 61.46 | | signboard | 35.22 | 52.86 | | chest of drawers | 32.12 | 57.78 | | counter | 28.36 | 33.8 | | sand | 33.72 | 45.64 | | sink | 77.8 | 84.62 | | skyscraper | 37.02 | 40.67 | | fireplace | 73.57 | 92.99 | | refrigerator | 78.65 | 83.29 | | grandstand | 42.64 | 70.41 | | path | 27.57 | 43.39 | | stairs | 35.31 | 47.15 | | runway | 86.32 | 92.79 | | case | 63.76 | 79.0 | | pool table | 95.37 | 97.83 | | pillow | 63.04 | 76.15 | | screen door | 77.57 | 88.41 | | stairway | 34.26 | 37.85 | | river | 13.88 | 19.04 | | bridge | 75.76 | 83.28 | | bookcase | 37.98 | 62.41 | | blind | 49.94 | 56.8 | | coffee table | 66.75 | 82.39 | | toilet | 84.0 | 91.75 | | flower | 39.19 | 57.76 | | book | 50.29 | 74.89 | | hill | 7.92 | 13.77 | | bench | 56.46 | 69.31 | | countertop | 61.96 | 75.64 | | stove | 83.53 | 88.73 | | palm | 57.38 | 72.9 | | kitchen island | 54.45 | 81.61 | | computer | 72.2 | 78.82 | | swivel chair | 41.35 | 69.53 | | boat | 45.22 | 51.2 | | bar | 33.75 | 45.92 | | arcade machine | 88.74 | 93.64 | | hovel | 36.87 | 53.56 | | bus | 94.49 | 96.35 | | towel | 72.61 | 80.61 | | light | 62.75 | 72.81 | | truck | 32.89 | 56.63 | | tower | 24.41 | 42.17 | | chandelier | 72.36 | 85.84 | | awning | 34.13 | 44.41 | | streetlight | 41.91 | 67.07 | | booth | 30.15 | 61.83 | | television receiver | 79.29 | 89.07 | | airplane | 74.88 | 83.59 | | dirt track | 15.58 | 54.99 | | apparel | 27.36 | 46.81 | | pole | 31.67 | 47.81 | | land | 6.27 | 9.29 | | bannister | 20.8 | 31.16 | | escalator | 20.32 | 21.27 | | ottoman | 53.4 | 70.4 | | bottle | 35.35 | 48.97 | | buffet | 44.11 | 54.14 | | poster | 22.96 | 33.51 | | stage | 18.35 | 32.99 | | van | 53.06 | 75.0 | | ship | 4.35 | 10.6 | | fountain | 19.02 | 21.78 | | conveyer belt | 75.02 | 95.42 | | canopy | 39.42 | 51.89 | | washer | 71.95 | 73.73 | | plaything | 44.16 | 67.46 | | swimming pool | 58.14 | 63.71 | | stool | 43.09 | 70.48 | | barrel | 64.7 | 97.62 | | basket | 39.06 | 49.22 | | waterfall | 65.6 | 93.94 | | tent | 95.84 | 98.33 | | bag | 18.33 | 21.61 | | minibike | 76.14 | 93.14 | | cradle | 86.3 | 97.34 | | oven | 27.81 | 76.34 | | ball | 50.95 | 66.7 | | food | 61.29 | 75.34 | | step | 20.13 | 25.09 | | tank | 56.01 | 66.13 | | trade name | 33.11 | 43.02 | | microwave | 42.68 | 45.87 | | pot | 48.72 | 56.33 | | animal | 55.7 | 56.87 | | bicycle | 58.12 | 78.04 | | lake | 57.87 | 63.63 | | dishwasher | 80.99 | 86.82 | | screen | 63.64 | 90.56 | | blanket | 30.96 | 40.51 | | sculpture | 61.33 | 86.36 | | hood | 83.29 | 89.69 | | sconce | 53.82 | 66.71 | | vase | 49.6 | 67.99 | | traffic light | 43.58 | 68.82 | | tray | 12.55 | 24.6 | | ashcan | 50.89 | 70.07 | | fan | 72.57 | 84.33 | | pier | 29.48 | 45.22 | | crt screen | 1.38 | 3.96 | | plate | 61.47 | 75.51 | | monitor | 10.78 | 15.15 | | bulletin board | 51.54 | 70.14 | | shower | 12.69 | 22.6 | | radiator | 73.25 | 88.45 | | glass | 21.74 | 24.34 | | clock | 55.61 | 69.95 | | flag | 35.27 | 38.2 | +---------------------+-------+-------+ 2023-11-12 15:59:11,937 - mmseg - INFO - Summary: 2023-11-12 15:59:11,937 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.05 | 52.94 | 66.32 | +-------+-------+-------+ 2023-11-12 15:59:11,938 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 15:59:11,938 - mmseg - INFO - Iter(val) [250] aAcc: 0.8405, mIoU: 0.5294, mAcc: 0.6632, IoU.wall: 0.7883, IoU.building: 0.8218, IoU.sky: 0.9463, IoU.floor: 0.8379, IoU.tree: 0.7541, IoU.ceiling: 0.8430, IoU.road: 0.8518, IoU.bed : 0.9079, IoU.windowpane: 0.6307, IoU.grass: 0.6740, IoU.cabinet: 0.6406, IoU.sidewalk: 0.6726, IoU.person: 0.8486, IoU.earth: 0.4200, IoU.door: 0.4908, IoU.table: 0.6627, IoU.mountain: 0.6418, IoU.plant: 0.5205, IoU.curtain: 0.7743, IoU.chair: 0.6193, IoU.car: 0.8637, IoU.water: 0.6009, IoU.painting: 0.7777, IoU.sofa: 0.7081, IoU.shelf: 0.4307, IoU.house: 0.2959, IoU.sea: 0.6986, IoU.mirror: 0.7151, IoU.rug: 0.6818, IoU.field: 0.3164, IoU.armchair: 0.4956, IoU.seat: 0.6334, IoU.fence: 0.4855, IoU.desk: 0.5503, IoU.rock: 0.4663, IoU.wardrobe: 0.4927, IoU.lamp: 0.7206, IoU.bathtub: 0.7785, IoU.railing: 0.3829, IoU.cushion: 0.6513, IoU.base: 0.3565, IoU.box: 0.2971, IoU.column: 0.4709, IoU.signboard: 0.3522, IoU.chest of drawers: 0.3212, IoU.counter: 0.2836, IoU.sand: 0.3372, IoU.sink: 0.7780, IoU.skyscraper: 0.3702, IoU.fireplace: 0.7357, IoU.refrigerator: 0.7865, IoU.grandstand: 0.4264, IoU.path: 0.2757, IoU.stairs: 0.3531, IoU.runway: 0.8632, IoU.case: 0.6376, IoU.pool table: 0.9537, IoU.pillow: 0.6304, IoU.screen door: 0.7757, IoU.stairway: 0.3426, IoU.river: 0.1388, IoU.bridge: 0.7576, IoU.bookcase: 0.3798, IoU.blind: 0.4994, IoU.coffee table: 0.6675, IoU.toilet: 0.8400, IoU.flower: 0.3919, IoU.book: 0.5029, IoU.hill: 0.0792, IoU.bench: 0.5646, IoU.countertop: 0.6196, IoU.stove: 0.8353, IoU.palm: 0.5738, IoU.kitchen island: 0.5445, IoU.computer: 0.7220, IoU.swivel chair: 0.4135, IoU.boat: 0.4522, IoU.bar: 0.3375, IoU.arcade machine: 0.8874, IoU.hovel: 0.3687, IoU.bus: 0.9449, IoU.towel: 0.7261, IoU.light: 0.6275, IoU.truck: 0.3289, IoU.tower: 0.2441, IoU.chandelier: 0.7236, IoU.awning: 0.3413, IoU.streetlight: 0.4191, IoU.booth: 0.3015, IoU.television receiver: 0.7929, IoU.airplane: 0.7488, IoU.dirt track: 0.1558, IoU.apparel: 0.2736, IoU.pole: 0.3167, IoU.land: 0.0627, IoU.bannister: 0.2080, IoU.escalator: 0.2032, IoU.ottoman: 0.5340, IoU.bottle: 0.3535, IoU.buffet: 0.4411, IoU.poster: 0.2296, IoU.stage: 0.1835, IoU.van: 0.5306, IoU.ship: 0.0435, IoU.fountain: 0.1902, IoU.conveyer belt: 0.7502, IoU.canopy: 0.3942, IoU.washer: 0.7195, IoU.plaything: 0.4416, IoU.swimming pool: 0.5814, IoU.stool: 0.4309, IoU.barrel: 0.6470, IoU.basket: 0.3906, IoU.waterfall: 0.6560, IoU.tent: 0.9584, IoU.bag: 0.1833, IoU.minibike: 0.7614, IoU.cradle: 0.8630, IoU.oven: 0.2781, IoU.ball: 0.5095, IoU.food: 0.6129, IoU.step: 0.2013, IoU.tank: 0.5601, IoU.trade name: 0.3311, IoU.microwave: 0.4268, IoU.pot: 0.4872, IoU.animal: 0.5570, IoU.bicycle: 0.5812, IoU.lake: 0.5787, IoU.dishwasher: 0.8099, IoU.screen: 0.6364, IoU.blanket: 0.3096, IoU.sculpture: 0.6133, IoU.hood: 0.8329, IoU.sconce: 0.5382, IoU.vase: 0.4960, IoU.traffic light: 0.4358, IoU.tray: 0.1255, IoU.ashcan: 0.5089, IoU.fan: 0.7257, IoU.pier: 0.2948, IoU.crt screen: 0.0138, IoU.plate: 0.6147, IoU.monitor: 0.1078, IoU.bulletin board: 0.5154, IoU.shower: 0.1269, IoU.radiator: 0.7325, IoU.glass: 0.2174, IoU.clock: 0.5561, IoU.flag: 0.3527, Acc.wall: 0.8766, Acc.building: 0.9274, Acc.sky: 0.9713, Acc.floor: 0.9068, Acc.tree: 0.8698, Acc.ceiling: 0.8998, Acc.road: 0.9115, Acc.bed : 0.9596, Acc.windowpane: 0.7942, Acc.grass: 0.7831, Acc.cabinet: 0.7693, Acc.sidewalk: 0.8061, Acc.person: 0.9369, Acc.earth: 0.6035, Acc.door: 0.6634, Acc.table: 0.8198, Acc.mountain: 0.7562, Acc.plant: 0.6845, Acc.curtain: 0.8832, Acc.chair: 0.7405, Acc.car: 0.9188, Acc.water: 0.7656, Acc.painting: 0.8992, Acc.sofa: 0.8417, Acc.shelf: 0.6078, Acc.house: 0.4211, Acc.sea: 0.9042, Acc.mirror: 0.8185, Acc.rug: 0.8091, Acc.field: 0.5284, Acc.armchair: 0.6897, Acc.seat: 0.7976, Acc.fence: 0.6506, Acc.desk: 0.7292, Acc.rock: 0.7853, Acc.wardrobe: 0.6321, Acc.lamp: 0.8496, Acc.bathtub: 0.9158, Acc.railing: 0.5306, Acc.cushion: 0.7814, Acc.base: 0.5950, Acc.box: 0.3843, Acc.column: 0.6146, Acc.signboard: 0.5286, Acc.chest of drawers: 0.5778, Acc.counter: 0.3380, Acc.sand: 0.4564, Acc.sink: 0.8462, Acc.skyscraper: 0.4067, Acc.fireplace: 0.9299, Acc.refrigerator: 0.8329, Acc.grandstand: 0.7041, Acc.path: 0.4339, Acc.stairs: 0.4715, Acc.runway: 0.9279, Acc.case: 0.7900, Acc.pool table: 0.9783, Acc.pillow: 0.7615, Acc.screen door: 0.8841, Acc.stairway: 0.3785, Acc.river: 0.1904, Acc.bridge: 0.8328, Acc.bookcase: 0.6241, Acc.blind: 0.5680, Acc.coffee table: 0.8239, Acc.toilet: 0.9175, Acc.flower: 0.5776, Acc.book: 0.7489, Acc.hill: 0.1377, Acc.bench: 0.6931, Acc.countertop: 0.7564, Acc.stove: 0.8873, Acc.palm: 0.7290, Acc.kitchen island: 0.8161, Acc.computer: 0.7882, Acc.swivel chair: 0.6953, Acc.boat: 0.5120, Acc.bar: 0.4592, Acc.arcade machine: 0.9364, Acc.hovel: 0.5356, Acc.bus: 0.9635, Acc.towel: 0.8061, Acc.light: 0.7281, Acc.truck: 0.5663, Acc.tower: 0.4217, Acc.chandelier: 0.8584, Acc.awning: 0.4441, Acc.streetlight: 0.6707, Acc.booth: 0.6183, Acc.television receiver: 0.8907, Acc.airplane: 0.8359, Acc.dirt track: 0.5499, Acc.apparel: 0.4681, Acc.pole: 0.4781, Acc.land: 0.0929, Acc.bannister: 0.3116, Acc.escalator: 0.2127, Acc.ottoman: 0.7040, Acc.bottle: 0.4897, Acc.buffet: 0.5414, Acc.poster: 0.3351, Acc.stage: 0.3299, Acc.van: 0.7500, Acc.ship: 0.1060, Acc.fountain: 0.2178, Acc.conveyer belt: 0.9542, Acc.canopy: 0.5189, Acc.washer: 0.7373, Acc.plaything: 0.6746, Acc.swimming pool: 0.6371, Acc.stool: 0.7048, Acc.barrel: 0.9762, Acc.basket: 0.4922, Acc.waterfall: 0.9394, Acc.tent: 0.9833, Acc.bag: 0.2161, Acc.minibike: 0.9314, Acc.cradle: 0.9734, Acc.oven: 0.7634, Acc.ball: 0.6670, Acc.food: 0.7534, Acc.step: 0.2509, Acc.tank: 0.6613, Acc.trade name: 0.4302, Acc.microwave: 0.4587, Acc.pot: 0.5633, Acc.animal: 0.5687, Acc.bicycle: 0.7804, Acc.lake: 0.6363, Acc.dishwasher: 0.8682, Acc.screen: 0.9056, Acc.blanket: 0.4051, Acc.sculpture: 0.8636, Acc.hood: 0.8969, Acc.sconce: 0.6671, Acc.vase: 0.6799, Acc.traffic light: 0.6882, Acc.tray: 0.2460, Acc.ashcan: 0.7007, Acc.fan: 0.8433, Acc.pier: 0.4522, Acc.crt screen: 0.0396, Acc.plate: 0.7551, Acc.monitor: 0.1515, Acc.bulletin board: 0.7014, Acc.shower: 0.2260, Acc.radiator: 0.8845, Acc.glass: 0.2434, Acc.clock: 0.6995, Acc.flag: 0.3820 2023-11-12 15:59:36,444 - mmseg - INFO - Iter [124050/160000] lr: 2.247e-05, eta: 4:59:44, time: 0.870, data_time: 0.392, memory: 41146, decode.loss_cls: 0.1530, decode.loss_mask: 0.3998, decode.loss_dice: 0.6221, decode.d0.loss_cls: 1.0952, decode.d0.loss_mask: 0.4359, decode.d0.loss_dice: 0.6781, decode.d1.loss_cls: 0.2100, decode.d1.loss_mask: 0.4131, decode.d1.loss_dice: 0.6501, decode.d2.loss_cls: 0.1831, decode.d2.loss_mask: 0.4047, decode.d2.loss_dice: 0.6382, decode.d3.loss_cls: 0.1713, decode.d3.loss_mask: 0.4030, decode.d3.loss_dice: 0.6286, decode.d4.loss_cls: 0.1625, decode.d4.loss_mask: 0.4026, decode.d4.loss_dice: 0.6259, decode.d5.loss_cls: 0.1606, decode.d5.loss_mask: 0.4025, decode.d5.loss_dice: 0.6254, decode.d6.loss_cls: 0.1567, decode.d6.loss_mask: 0.4021, decode.d6.loss_dice: 0.6212, decode.d7.loss_cls: 0.1535, decode.d7.loss_mask: 0.4017, decode.d7.loss_dice: 0.6241, decode.d8.loss_cls: 0.1530, decode.d8.loss_mask: 0.4007, decode.d8.loss_dice: 0.6246, loss: 13.0032, grad_norm: 41.5095 2023-11-12 16:00:04,690 - mmseg - INFO - Iter [124100/160000] lr: 2.244e-05, eta: 4:59:20, time: 0.565, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1429, decode.loss_mask: 0.4193, decode.loss_dice: 0.6145, decode.d0.loss_cls: 1.1018, decode.d0.loss_mask: 0.4516, decode.d0.loss_dice: 0.6727, decode.d1.loss_cls: 0.2017, decode.d1.loss_mask: 0.4327, decode.d1.loss_dice: 0.6490, decode.d2.loss_cls: 0.1798, decode.d2.loss_mask: 0.4236, decode.d2.loss_dice: 0.6309, decode.d3.loss_cls: 0.1633, decode.d3.loss_mask: 0.4197, decode.d3.loss_dice: 0.6197, decode.d4.loss_cls: 0.1553, decode.d4.loss_mask: 0.4203, decode.d4.loss_dice: 0.6206, decode.d5.loss_cls: 0.1498, decode.d5.loss_mask: 0.4194, decode.d5.loss_dice: 0.6213, decode.d6.loss_cls: 0.1496, decode.d6.loss_mask: 0.4182, decode.d6.loss_dice: 0.6158, decode.d7.loss_cls: 0.1459, decode.d7.loss_mask: 0.4190, decode.d7.loss_dice: 0.6148, decode.d8.loss_cls: 0.1461, decode.d8.loss_mask: 0.4195, decode.d8.loss_dice: 0.6149, loss: 13.0536, grad_norm: 46.8820 2023-11-12 16:00:28,742 - mmseg - INFO - Iter [124150/160000] lr: 2.241e-05, eta: 4:58:54, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1518, decode.loss_mask: 0.4094, decode.loss_dice: 0.6260, decode.d0.loss_cls: 1.0901, decode.d0.loss_mask: 0.4456, decode.d0.loss_dice: 0.6876, decode.d1.loss_cls: 0.2116, decode.d1.loss_mask: 0.4242, decode.d1.loss_dice: 0.6547, decode.d2.loss_cls: 0.1829, decode.d2.loss_mask: 0.4191, decode.d2.loss_dice: 0.6443, decode.d3.loss_cls: 0.1680, decode.d3.loss_mask: 0.4160, decode.d3.loss_dice: 0.6326, decode.d4.loss_cls: 0.1625, decode.d4.loss_mask: 0.4152, decode.d4.loss_dice: 0.6328, decode.d5.loss_cls: 0.1599, decode.d5.loss_mask: 0.4131, decode.d5.loss_dice: 0.6343, decode.d6.loss_cls: 0.1561, decode.d6.loss_mask: 0.4104, decode.d6.loss_dice: 0.6293, decode.d7.loss_cls: 0.1532, decode.d7.loss_mask: 0.4102, decode.d7.loss_dice: 0.6262, decode.d8.loss_cls: 0.1525, decode.d8.loss_mask: 0.4092, decode.d8.loss_dice: 0.6272, loss: 13.1557, grad_norm: 46.3126 2023-11-12 16:00:52,775 - mmseg - INFO - Iter [124200/160000] lr: 2.238e-05, eta: 4:58:29, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1634, decode.loss_mask: 0.4096, decode.loss_dice: 0.6425, decode.d0.loss_cls: 1.1500, decode.d0.loss_mask: 0.4359, decode.d0.loss_dice: 0.6927, decode.d1.loss_cls: 0.2205, decode.d1.loss_mask: 0.4234, decode.d1.loss_dice: 0.6708, decode.d2.loss_cls: 0.1904, decode.d2.loss_mask: 0.4163, decode.d2.loss_dice: 0.6592, decode.d3.loss_cls: 0.1746, decode.d3.loss_mask: 0.4136, decode.d3.loss_dice: 0.6530, decode.d4.loss_cls: 0.1692, decode.d4.loss_mask: 0.4114, decode.d4.loss_dice: 0.6498, decode.d5.loss_cls: 0.1655, decode.d5.loss_mask: 0.4104, decode.d5.loss_dice: 0.6516, decode.d6.loss_cls: 0.1670, decode.d6.loss_mask: 0.4099, decode.d6.loss_dice: 0.6483, decode.d7.loss_cls: 0.1630, decode.d7.loss_mask: 0.4099, decode.d7.loss_dice: 0.6448, decode.d8.loss_cls: 0.1615, decode.d8.loss_mask: 0.4094, decode.d8.loss_dice: 0.6460, loss: 13.4336, grad_norm: 45.5504 2023-11-12 16:01:17,573 - mmseg - INFO - Iter [124250/160000] lr: 2.234e-05, eta: 4:58:04, time: 0.496, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1486, decode.loss_mask: 0.4333, decode.loss_dice: 0.6383, decode.d0.loss_cls: 1.1057, decode.d0.loss_mask: 0.4651, decode.d0.loss_dice: 0.6948, decode.d1.loss_cls: 0.2186, decode.d1.loss_mask: 0.4466, decode.d1.loss_dice: 0.6722, decode.d2.loss_cls: 0.1768, decode.d2.loss_mask: 0.4395, decode.d2.loss_dice: 0.6570, decode.d3.loss_cls: 0.1606, decode.d3.loss_mask: 0.4347, decode.d3.loss_dice: 0.6462, decode.d4.loss_cls: 0.1573, decode.d4.loss_mask: 0.4337, decode.d4.loss_dice: 0.6438, decode.d5.loss_cls: 0.1532, decode.d5.loss_mask: 0.4340, decode.d5.loss_dice: 0.6469, decode.d6.loss_cls: 0.1548, decode.d6.loss_mask: 0.4330, decode.d6.loss_dice: 0.6401, decode.d7.loss_cls: 0.1479, decode.d7.loss_mask: 0.4326, decode.d7.loss_dice: 0.6397, decode.d8.loss_cls: 0.1467, decode.d8.loss_mask: 0.4334, decode.d8.loss_dice: 0.6405, loss: 13.4757, grad_norm: 43.8147 2023-11-12 16:01:41,302 - mmseg - INFO - Iter [124300/160000] lr: 2.231e-05, eta: 4:57:39, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1418, decode.loss_mask: 0.4312, decode.loss_dice: 0.6476, decode.d0.loss_cls: 1.1036, decode.d0.loss_mask: 0.4653, decode.d0.loss_dice: 0.6982, decode.d1.loss_cls: 0.2023, decode.d1.loss_mask: 0.4416, decode.d1.loss_dice: 0.6738, decode.d2.loss_cls: 0.1724, decode.d2.loss_mask: 0.4370, decode.d2.loss_dice: 0.6572, decode.d3.loss_cls: 0.1616, decode.d3.loss_mask: 0.4346, decode.d3.loss_dice: 0.6526, decode.d4.loss_cls: 0.1515, decode.d4.loss_mask: 0.4334, decode.d4.loss_dice: 0.6507, decode.d5.loss_cls: 0.1462, decode.d5.loss_mask: 0.4321, decode.d5.loss_dice: 0.6505, decode.d6.loss_cls: 0.1488, decode.d6.loss_mask: 0.4329, decode.d6.loss_dice: 0.6449, decode.d7.loss_cls: 0.1471, decode.d7.loss_mask: 0.4317, decode.d7.loss_dice: 0.6471, decode.d8.loss_cls: 0.1441, decode.d8.loss_mask: 0.4335, decode.d8.loss_dice: 0.6468, loss: 13.4620, grad_norm: 43.9988 2023-11-12 16:02:05,031 - mmseg - INFO - Iter [124350/160000] lr: 2.228e-05, eta: 4:57:13, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1539, decode.loss_mask: 0.4278, decode.loss_dice: 0.6329, decode.d0.loss_cls: 1.1351, decode.d0.loss_mask: 0.4583, decode.d0.loss_dice: 0.6867, decode.d1.loss_cls: 0.2176, decode.d1.loss_mask: 0.4360, decode.d1.loss_dice: 0.6628, decode.d2.loss_cls: 0.1816, decode.d2.loss_mask: 0.4327, decode.d2.loss_dice: 0.6489, decode.d3.loss_cls: 0.1691, decode.d3.loss_mask: 0.4293, decode.d3.loss_dice: 0.6414, decode.d4.loss_cls: 0.1621, decode.d4.loss_mask: 0.4300, decode.d4.loss_dice: 0.6386, decode.d5.loss_cls: 0.1627, decode.d5.loss_mask: 0.4290, decode.d5.loss_dice: 0.6358, decode.d6.loss_cls: 0.1585, decode.d6.loss_mask: 0.4283, decode.d6.loss_dice: 0.6354, decode.d7.loss_cls: 0.1548, decode.d7.loss_mask: 0.4269, decode.d7.loss_dice: 0.6382, decode.d8.loss_cls: 0.1526, decode.d8.loss_mask: 0.4280, decode.d8.loss_dice: 0.6365, loss: 13.4315, grad_norm: 48.1348 2023-11-12 16:02:28,672 - mmseg - INFO - Iter [124400/160000] lr: 2.225e-05, eta: 4:56:48, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1590, decode.loss_mask: 0.4150, decode.loss_dice: 0.6369, decode.d0.loss_cls: 1.1394, decode.d0.loss_mask: 0.4456, decode.d0.loss_dice: 0.7026, decode.d1.loss_cls: 0.2223, decode.d1.loss_mask: 0.4270, decode.d1.loss_dice: 0.6670, decode.d2.loss_cls: 0.1925, decode.d2.loss_mask: 0.4191, decode.d2.loss_dice: 0.6508, decode.d3.loss_cls: 0.1756, decode.d3.loss_mask: 0.4156, decode.d3.loss_dice: 0.6441, decode.d4.loss_cls: 0.1665, decode.d4.loss_mask: 0.4154, decode.d4.loss_dice: 0.6415, decode.d5.loss_cls: 0.1648, decode.d5.loss_mask: 0.4151, decode.d5.loss_dice: 0.6400, decode.d6.loss_cls: 0.1656, decode.d6.loss_mask: 0.4141, decode.d6.loss_dice: 0.6378, decode.d7.loss_cls: 0.1564, decode.d7.loss_mask: 0.4152, decode.d7.loss_dice: 0.6385, decode.d8.loss_cls: 0.1602, decode.d8.loss_mask: 0.4138, decode.d8.loss_dice: 0.6372, loss: 13.3943, grad_norm: 51.2590 2023-11-12 16:02:53,005 - mmseg - INFO - Iter [124450/160000] lr: 2.222e-05, eta: 4:56:23, time: 0.487, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1518, decode.loss_mask: 0.4150, decode.loss_dice: 0.6275, decode.d0.loss_cls: 1.1027, decode.d0.loss_mask: 0.4549, decode.d0.loss_dice: 0.6837, decode.d1.loss_cls: 0.2046, decode.d1.loss_mask: 0.4290, decode.d1.loss_dice: 0.6584, decode.d2.loss_cls: 0.1778, decode.d2.loss_mask: 0.4234, decode.d2.loss_dice: 0.6441, decode.d3.loss_cls: 0.1666, decode.d3.loss_mask: 0.4192, decode.d3.loss_dice: 0.6312, decode.d4.loss_cls: 0.1620, decode.d4.loss_mask: 0.4191, decode.d4.loss_dice: 0.6318, decode.d5.loss_cls: 0.1596, decode.d5.loss_mask: 0.4174, decode.d5.loss_dice: 0.6301, decode.d6.loss_cls: 0.1575, decode.d6.loss_mask: 0.4155, decode.d6.loss_dice: 0.6292, decode.d7.loss_cls: 0.1499, decode.d7.loss_mask: 0.4152, decode.d7.loss_dice: 0.6271, decode.d8.loss_cls: 0.1499, decode.d8.loss_mask: 0.4157, decode.d8.loss_dice: 0.6297, loss: 13.1997, grad_norm: 46.3118 2023-11-12 16:03:19,198 - mmseg - INFO - Iter [124500/160000] lr: 2.219e-05, eta: 4:55:58, time: 0.524, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1534, decode.loss_mask: 0.4376, decode.loss_dice: 0.6525, decode.d0.loss_cls: 1.0921, decode.d0.loss_mask: 0.4696, decode.d0.loss_dice: 0.6984, decode.d1.loss_cls: 0.2239, decode.d1.loss_mask: 0.4510, decode.d1.loss_dice: 0.6805, decode.d2.loss_cls: 0.1914, decode.d2.loss_mask: 0.4417, decode.d2.loss_dice: 0.6604, decode.d3.loss_cls: 0.1778, decode.d3.loss_mask: 0.4387, decode.d3.loss_dice: 0.6504, decode.d4.loss_cls: 0.1672, decode.d4.loss_mask: 0.4395, decode.d4.loss_dice: 0.6498, decode.d5.loss_cls: 0.1621, decode.d5.loss_mask: 0.4380, decode.d5.loss_dice: 0.6516, decode.d6.loss_cls: 0.1622, decode.d6.loss_mask: 0.4380, decode.d6.loss_dice: 0.6509, decode.d7.loss_cls: 0.1578, decode.d7.loss_mask: 0.4376, decode.d7.loss_dice: 0.6499, decode.d8.loss_cls: 0.1577, decode.d8.loss_mask: 0.4373, decode.d8.loss_dice: 0.6505, loss: 13.6694, grad_norm: 47.0735 2023-11-12 16:03:44,142 - mmseg - INFO - Iter [124550/160000] lr: 2.216e-05, eta: 4:55:33, time: 0.499, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1458, decode.loss_mask: 0.4136, decode.loss_dice: 0.6290, decode.d0.loss_cls: 1.1011, decode.d0.loss_mask: 0.4464, decode.d0.loss_dice: 0.6848, decode.d1.loss_cls: 0.2039, decode.d1.loss_mask: 0.4256, decode.d1.loss_dice: 0.6596, decode.d2.loss_cls: 0.1746, decode.d2.loss_mask: 0.4194, decode.d2.loss_dice: 0.6477, decode.d3.loss_cls: 0.1574, decode.d3.loss_mask: 0.4149, decode.d3.loss_dice: 0.6344, decode.d4.loss_cls: 0.1529, decode.d4.loss_mask: 0.4148, decode.d4.loss_dice: 0.6324, decode.d5.loss_cls: 0.1498, decode.d5.loss_mask: 0.4149, decode.d5.loss_dice: 0.6305, decode.d6.loss_cls: 0.1509, decode.d6.loss_mask: 0.4127, decode.d6.loss_dice: 0.6258, decode.d7.loss_cls: 0.1503, decode.d7.loss_mask: 0.4121, decode.d7.loss_dice: 0.6245, decode.d8.loss_cls: 0.1457, decode.d8.loss_mask: 0.4143, decode.d8.loss_dice: 0.6314, loss: 13.1212, grad_norm: 44.2944 2023-11-12 16:04:08,983 - mmseg - INFO - Iter [124600/160000] lr: 2.213e-05, eta: 4:55:08, time: 0.497, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1542, decode.loss_mask: 0.4051, decode.loss_dice: 0.6246, decode.d0.loss_cls: 1.1031, decode.d0.loss_mask: 0.4321, decode.d0.loss_dice: 0.6855, decode.d1.loss_cls: 0.2153, decode.d1.loss_mask: 0.4143, decode.d1.loss_dice: 0.6591, decode.d2.loss_cls: 0.1821, decode.d2.loss_mask: 0.4077, decode.d2.loss_dice: 0.6443, decode.d3.loss_cls: 0.1691, decode.d3.loss_mask: 0.4070, decode.d3.loss_dice: 0.6341, decode.d4.loss_cls: 0.1631, decode.d4.loss_mask: 0.4058, decode.d4.loss_dice: 0.6280, decode.d5.loss_cls: 0.1644, decode.d5.loss_mask: 0.4064, decode.d5.loss_dice: 0.6277, decode.d6.loss_cls: 0.1590, decode.d6.loss_mask: 0.4058, decode.d6.loss_dice: 0.6251, decode.d7.loss_cls: 0.1571, decode.d7.loss_mask: 0.4051, decode.d7.loss_dice: 0.6222, decode.d8.loss_cls: 0.1530, decode.d8.loss_mask: 0.4055, decode.d8.loss_dice: 0.6255, loss: 13.0917, grad_norm: 45.2950 2023-11-12 16:04:33,138 - mmseg - INFO - Iter [124650/160000] lr: 2.209e-05, eta: 4:54:43, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1502, decode.loss_mask: 0.4230, decode.loss_dice: 0.6380, decode.d0.loss_cls: 1.1333, decode.d0.loss_mask: 0.4540, decode.d0.loss_dice: 0.6858, decode.d1.loss_cls: 0.2199, decode.d1.loss_mask: 0.4335, decode.d1.loss_dice: 0.6658, decode.d2.loss_cls: 0.1848, decode.d2.loss_mask: 0.4308, decode.d2.loss_dice: 0.6508, decode.d3.loss_cls: 0.1701, decode.d3.loss_mask: 0.4263, decode.d3.loss_dice: 0.6396, decode.d4.loss_cls: 0.1620, decode.d4.loss_mask: 0.4243, decode.d4.loss_dice: 0.6389, decode.d5.loss_cls: 0.1628, decode.d5.loss_mask: 0.4218, decode.d5.loss_dice: 0.6361, decode.d6.loss_cls: 0.1592, decode.d6.loss_mask: 0.4231, decode.d6.loss_dice: 0.6332, decode.d7.loss_cls: 0.1575, decode.d7.loss_mask: 0.4214, decode.d7.loss_dice: 0.6382, decode.d8.loss_cls: 0.1498, decode.d8.loss_mask: 0.4216, decode.d8.loss_dice: 0.6388, loss: 13.3950, grad_norm: 40.6820 2023-11-12 16:04:59,708 - mmseg - INFO - Iter [124700/160000] lr: 2.206e-05, eta: 4:54:18, time: 0.531, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1495, decode.loss_mask: 0.4171, decode.loss_dice: 0.6441, decode.d0.loss_cls: 1.1001, decode.d0.loss_mask: 0.4470, decode.d0.loss_dice: 0.7040, decode.d1.loss_cls: 0.2060, decode.d1.loss_mask: 0.4284, decode.d1.loss_dice: 0.6751, decode.d2.loss_cls: 0.1731, decode.d2.loss_mask: 0.4237, decode.d2.loss_dice: 0.6611, decode.d3.loss_cls: 0.1664, decode.d3.loss_mask: 0.4219, decode.d3.loss_dice: 0.6522, decode.d4.loss_cls: 0.1579, decode.d4.loss_mask: 0.4198, decode.d4.loss_dice: 0.6509, decode.d5.loss_cls: 0.1587, decode.d5.loss_mask: 0.4185, decode.d5.loss_dice: 0.6515, decode.d6.loss_cls: 0.1500, decode.d6.loss_mask: 0.4176, decode.d6.loss_dice: 0.6463, decode.d7.loss_cls: 0.1568, decode.d7.loss_mask: 0.4170, decode.d7.loss_dice: 0.6453, decode.d8.loss_cls: 0.1490, decode.d8.loss_mask: 0.4176, decode.d8.loss_dice: 0.6501, loss: 13.3768, grad_norm: 49.9794 2023-11-12 16:05:24,727 - mmseg - INFO - Iter [124750/160000] lr: 2.203e-05, eta: 4:53:53, time: 0.500, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1488, decode.loss_mask: 0.4175, decode.loss_dice: 0.6426, decode.d0.loss_cls: 1.1089, decode.d0.loss_mask: 0.4440, decode.d0.loss_dice: 0.6899, decode.d1.loss_cls: 0.2051, decode.d1.loss_mask: 0.4315, decode.d1.loss_dice: 0.6597, decode.d2.loss_cls: 0.1777, decode.d2.loss_mask: 0.4206, decode.d2.loss_dice: 0.6512, decode.d3.loss_cls: 0.1681, decode.d3.loss_mask: 0.4196, decode.d3.loss_dice: 0.6413, decode.d4.loss_cls: 0.1625, decode.d4.loss_mask: 0.4184, decode.d4.loss_dice: 0.6434, decode.d5.loss_cls: 0.1599, decode.d5.loss_mask: 0.4179, decode.d5.loss_dice: 0.6407, decode.d6.loss_cls: 0.1563, decode.d6.loss_mask: 0.4171, decode.d6.loss_dice: 0.6377, decode.d7.loss_cls: 0.1517, decode.d7.loss_mask: 0.4177, decode.d7.loss_dice: 0.6400, decode.d8.loss_cls: 0.1498, decode.d8.loss_mask: 0.4185, decode.d8.loss_dice: 0.6372, loss: 13.2952, grad_norm: 44.8536 2023-11-12 16:05:48,426 - mmseg - INFO - Iter [124800/160000] lr: 2.200e-05, eta: 4:53:28, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1588, decode.loss_mask: 0.4029, decode.loss_dice: 0.6204, decode.d0.loss_cls: 1.1105, decode.d0.loss_mask: 0.4357, decode.d0.loss_dice: 0.6745, decode.d1.loss_cls: 0.2226, decode.d1.loss_mask: 0.4179, decode.d1.loss_dice: 0.6455, decode.d2.loss_cls: 0.1926, decode.d2.loss_mask: 0.4068, decode.d2.loss_dice: 0.6322, decode.d3.loss_cls: 0.1768, decode.d3.loss_mask: 0.4041, decode.d3.loss_dice: 0.6244, decode.d4.loss_cls: 0.1705, decode.d4.loss_mask: 0.4030, decode.d4.loss_dice: 0.6196, decode.d5.loss_cls: 0.1687, decode.d5.loss_mask: 0.4033, decode.d5.loss_dice: 0.6251, decode.d6.loss_cls: 0.1626, decode.d6.loss_mask: 0.4026, decode.d6.loss_dice: 0.6175, decode.d7.loss_cls: 0.1631, decode.d7.loss_mask: 0.4029, decode.d7.loss_dice: 0.6191, decode.d8.loss_cls: 0.1574, decode.d8.loss_mask: 0.4037, decode.d8.loss_dice: 0.6205, loss: 13.0651, grad_norm: 43.7587 2023-11-12 16:06:12,469 - mmseg - INFO - Iter [124850/160000] lr: 2.197e-05, eta: 4:53:02, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1478, decode.loss_mask: 0.4177, decode.loss_dice: 0.6427, decode.d0.loss_cls: 1.1177, decode.d0.loss_mask: 0.4503, decode.d0.loss_dice: 0.7010, decode.d1.loss_cls: 0.2028, decode.d1.loss_mask: 0.4323, decode.d1.loss_dice: 0.6734, decode.d2.loss_cls: 0.1744, decode.d2.loss_mask: 0.4248, decode.d2.loss_dice: 0.6588, decode.d3.loss_cls: 0.1630, decode.d3.loss_mask: 0.4206, decode.d3.loss_dice: 0.6475, decode.d4.loss_cls: 0.1589, decode.d4.loss_mask: 0.4192, decode.d4.loss_dice: 0.6495, decode.d5.loss_cls: 0.1528, decode.d5.loss_mask: 0.4199, decode.d5.loss_dice: 0.6448, decode.d6.loss_cls: 0.1524, decode.d6.loss_mask: 0.4192, decode.d6.loss_dice: 0.6429, decode.d7.loss_cls: 0.1492, decode.d7.loss_mask: 0.4183, decode.d7.loss_dice: 0.6415, decode.d8.loss_cls: 0.1511, decode.d8.loss_mask: 0.4169, decode.d8.loss_dice: 0.6446, loss: 13.3562, grad_norm: 47.7122 2023-11-12 16:06:36,301 - mmseg - INFO - Iter [124900/160000] lr: 2.194e-05, eta: 4:52:37, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1526, decode.loss_mask: 0.4184, decode.loss_dice: 0.6497, decode.d0.loss_cls: 1.1057, decode.d0.loss_mask: 0.4479, decode.d0.loss_dice: 0.6926, decode.d1.loss_cls: 0.2125, decode.d1.loss_mask: 0.4300, decode.d1.loss_dice: 0.6728, decode.d2.loss_cls: 0.1871, decode.d2.loss_mask: 0.4227, decode.d2.loss_dice: 0.6563, decode.d3.loss_cls: 0.1670, decode.d3.loss_mask: 0.4196, decode.d3.loss_dice: 0.6451, decode.d4.loss_cls: 0.1680, decode.d4.loss_mask: 0.4189, decode.d4.loss_dice: 0.6464, decode.d5.loss_cls: 0.1625, decode.d5.loss_mask: 0.4195, decode.d5.loss_dice: 0.6484, decode.d6.loss_cls: 0.1534, decode.d6.loss_mask: 0.4191, decode.d6.loss_dice: 0.6467, decode.d7.loss_cls: 0.1558, decode.d7.loss_mask: 0.4186, decode.d7.loss_dice: 0.6440, decode.d8.loss_cls: 0.1505, decode.d8.loss_mask: 0.4189, decode.d8.loss_dice: 0.6455, loss: 13.3962, grad_norm: 47.1924 2023-11-12 16:07:03,003 - mmseg - INFO - Iter [124950/160000] lr: 2.191e-05, eta: 4:52:12, time: 0.534, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1544, decode.loss_mask: 0.4103, decode.loss_dice: 0.6442, decode.d0.loss_cls: 1.1335, decode.d0.loss_mask: 0.4453, decode.d0.loss_dice: 0.7040, decode.d1.loss_cls: 0.2038, decode.d1.loss_mask: 0.4230, decode.d1.loss_dice: 0.6725, decode.d2.loss_cls: 0.1825, decode.d2.loss_mask: 0.4156, decode.d2.loss_dice: 0.6606, decode.d3.loss_cls: 0.1740, decode.d3.loss_mask: 0.4131, decode.d3.loss_dice: 0.6477, decode.d4.loss_cls: 0.1640, decode.d4.loss_mask: 0.4126, decode.d4.loss_dice: 0.6455, decode.d5.loss_cls: 0.1620, decode.d5.loss_mask: 0.4120, decode.d5.loss_dice: 0.6465, decode.d6.loss_cls: 0.1613, decode.d6.loss_mask: 0.4113, decode.d6.loss_dice: 0.6422, decode.d7.loss_cls: 0.1571, decode.d7.loss_mask: 0.4111, decode.d7.loss_dice: 0.6450, decode.d8.loss_cls: 0.1520, decode.d8.loss_mask: 0.4108, decode.d8.loss_dice: 0.6450, loss: 13.3628, grad_norm: 46.5671 2023-11-12 16:07:29,867 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 16:07:29,867 - mmseg - INFO - Iter [125000/160000] lr: 2.188e-05, eta: 4:51:48, time: 0.537, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1693, decode.loss_mask: 0.4235, decode.loss_dice: 0.6483, decode.d0.loss_cls: 1.1207, decode.d0.loss_mask: 0.4553, decode.d0.loss_dice: 0.7009, decode.d1.loss_cls: 0.2368, decode.d1.loss_mask: 0.4347, decode.d1.loss_dice: 0.6751, decode.d2.loss_cls: 0.1979, decode.d2.loss_mask: 0.4281, decode.d2.loss_dice: 0.6648, decode.d3.loss_cls: 0.1865, decode.d3.loss_mask: 0.4258, decode.d3.loss_dice: 0.6490, decode.d4.loss_cls: 0.1774, decode.d4.loss_mask: 0.4253, decode.d4.loss_dice: 0.6512, decode.d5.loss_cls: 0.1744, decode.d5.loss_mask: 0.4243, decode.d5.loss_dice: 0.6516, decode.d6.loss_cls: 0.1681, decode.d6.loss_mask: 0.4243, decode.d6.loss_dice: 0.6512, decode.d7.loss_cls: 0.1735, decode.d7.loss_mask: 0.4226, decode.d7.loss_dice: 0.6488, decode.d8.loss_cls: 0.1698, decode.d8.loss_mask: 0.4226, decode.d8.loss_dice: 0.6474, loss: 13.6491, grad_norm: 47.0652 2023-11-12 16:07:58,394 - mmseg - INFO - Iter [125050/160000] lr: 2.184e-05, eta: 4:51:24, time: 0.571, data_time: 0.058, memory: 41146, decode.loss_cls: 0.1367, decode.loss_mask: 0.3998, decode.loss_dice: 0.6233, decode.d0.loss_cls: 1.1103, decode.d0.loss_mask: 0.4333, decode.d0.loss_dice: 0.6754, decode.d1.loss_cls: 0.2018, decode.d1.loss_mask: 0.4130, decode.d1.loss_dice: 0.6521, decode.d2.loss_cls: 0.1644, decode.d2.loss_mask: 0.4070, decode.d2.loss_dice: 0.6331, decode.d3.loss_cls: 0.1589, decode.d3.loss_mask: 0.4034, decode.d3.loss_dice: 0.6219, decode.d4.loss_cls: 0.1464, decode.d4.loss_mask: 0.4024, decode.d4.loss_dice: 0.6235, decode.d5.loss_cls: 0.1474, decode.d5.loss_mask: 0.4016, decode.d5.loss_dice: 0.6259, decode.d6.loss_cls: 0.1458, decode.d6.loss_mask: 0.3997, decode.d6.loss_dice: 0.6203, decode.d7.loss_cls: 0.1382, decode.d7.loss_mask: 0.4003, decode.d7.loss_dice: 0.6248, decode.d8.loss_cls: 0.1378, decode.d8.loss_mask: 0.4011, decode.d8.loss_dice: 0.6245, loss: 12.8741, grad_norm: 44.7214 2023-11-12 16:08:22,456 - mmseg - INFO - Iter [125100/160000] lr: 2.181e-05, eta: 4:50:59, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1473, decode.loss_mask: 0.4301, decode.loss_dice: 0.6388, decode.d0.loss_cls: 1.0968, decode.d0.loss_mask: 0.4601, decode.d0.loss_dice: 0.6886, decode.d1.loss_cls: 0.2047, decode.d1.loss_mask: 0.4401, decode.d1.loss_dice: 0.6616, decode.d2.loss_cls: 0.1789, decode.d2.loss_mask: 0.4329, decode.d2.loss_dice: 0.6466, decode.d3.loss_cls: 0.1645, decode.d3.loss_mask: 0.4309, decode.d3.loss_dice: 0.6406, decode.d4.loss_cls: 0.1604, decode.d4.loss_mask: 0.4294, decode.d4.loss_dice: 0.6449, decode.d5.loss_cls: 0.1516, decode.d5.loss_mask: 0.4313, decode.d5.loss_dice: 0.6382, decode.d6.loss_cls: 0.1551, decode.d6.loss_mask: 0.4302, decode.d6.loss_dice: 0.6393, decode.d7.loss_cls: 0.1492, decode.d7.loss_mask: 0.4292, decode.d7.loss_dice: 0.6367, decode.d8.loss_cls: 0.1488, decode.d8.loss_mask: 0.4301, decode.d8.loss_dice: 0.6374, loss: 13.3741, grad_norm: 51.6809 2023-11-12 16:08:46,530 - mmseg - INFO - Iter [125150/160000] lr: 2.178e-05, eta: 4:50:33, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1598, decode.loss_mask: 0.4168, decode.loss_dice: 0.6457, decode.d0.loss_cls: 1.1107, decode.d0.loss_mask: 0.4495, decode.d0.loss_dice: 0.7053, decode.d1.loss_cls: 0.2193, decode.d1.loss_mask: 0.4264, decode.d1.loss_dice: 0.6735, decode.d2.loss_cls: 0.1841, decode.d2.loss_mask: 0.4218, decode.d2.loss_dice: 0.6584, decode.d3.loss_cls: 0.1772, decode.d3.loss_mask: 0.4182, decode.d3.loss_dice: 0.6466, decode.d4.loss_cls: 0.1723, decode.d4.loss_mask: 0.4170, decode.d4.loss_dice: 0.6474, decode.d5.loss_cls: 0.1655, decode.d5.loss_mask: 0.4171, decode.d5.loss_dice: 0.6501, decode.d6.loss_cls: 0.1598, decode.d6.loss_mask: 0.4193, decode.d6.loss_dice: 0.6449, decode.d7.loss_cls: 0.1575, decode.d7.loss_mask: 0.4184, decode.d7.loss_dice: 0.6460, decode.d8.loss_cls: 0.1578, decode.d8.loss_mask: 0.4183, decode.d8.loss_dice: 0.6481, loss: 13.4531, grad_norm: 47.0996 2023-11-12 16:09:11,210 - mmseg - INFO - Iter [125200/160000] lr: 2.175e-05, eta: 4:50:08, time: 0.494, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1356, decode.loss_mask: 0.4439, decode.loss_dice: 0.6430, decode.d0.loss_cls: 1.0778, decode.d0.loss_mask: 0.4758, decode.d0.loss_dice: 0.6855, decode.d1.loss_cls: 0.1986, decode.d1.loss_mask: 0.4590, decode.d1.loss_dice: 0.6682, decode.d2.loss_cls: 0.1639, decode.d2.loss_mask: 0.4514, decode.d2.loss_dice: 0.6530, decode.d3.loss_cls: 0.1502, decode.d3.loss_mask: 0.4466, decode.d3.loss_dice: 0.6393, decode.d4.loss_cls: 0.1438, decode.d4.loss_mask: 0.4461, decode.d4.loss_dice: 0.6448, decode.d5.loss_cls: 0.1403, decode.d5.loss_mask: 0.4467, decode.d5.loss_dice: 0.6429, decode.d6.loss_cls: 0.1385, decode.d6.loss_mask: 0.4450, decode.d6.loss_dice: 0.6403, decode.d7.loss_cls: 0.1385, decode.d7.loss_mask: 0.4445, decode.d7.loss_dice: 0.6394, decode.d8.loss_cls: 0.1354, decode.d8.loss_mask: 0.4441, decode.d8.loss_dice: 0.6425, loss: 13.4243, grad_norm: 49.3135 2023-11-12 16:09:36,282 - mmseg - INFO - Iter [125250/160000] lr: 2.172e-05, eta: 4:49:43, time: 0.501, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1544, decode.loss_mask: 0.4149, decode.loss_dice: 0.6342, decode.d0.loss_cls: 1.0917, decode.d0.loss_mask: 0.4483, decode.d0.loss_dice: 0.6824, decode.d1.loss_cls: 0.2114, decode.d1.loss_mask: 0.4272, decode.d1.loss_dice: 0.6597, decode.d2.loss_cls: 0.1817, decode.d2.loss_mask: 0.4208, decode.d2.loss_dice: 0.6424, decode.d3.loss_cls: 0.1686, decode.d3.loss_mask: 0.4180, decode.d3.loss_dice: 0.6335, decode.d4.loss_cls: 0.1688, decode.d4.loss_mask: 0.4171, decode.d4.loss_dice: 0.6343, decode.d5.loss_cls: 0.1683, decode.d5.loss_mask: 0.4153, decode.d5.loss_dice: 0.6320, decode.d6.loss_cls: 0.1586, decode.d6.loss_mask: 0.4165, decode.d6.loss_dice: 0.6314, decode.d7.loss_cls: 0.1553, decode.d7.loss_mask: 0.4155, decode.d7.loss_dice: 0.6305, decode.d8.loss_cls: 0.1571, decode.d8.loss_mask: 0.4162, decode.d8.loss_dice: 0.6319, loss: 13.2382, grad_norm: 45.8996 2023-11-12 16:09:59,973 - mmseg - INFO - Iter [125300/160000] lr: 2.169e-05, eta: 4:49:18, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1516, decode.loss_mask: 0.4082, decode.loss_dice: 0.6210, decode.d0.loss_cls: 1.0998, decode.d0.loss_mask: 0.4383, decode.d0.loss_dice: 0.6773, decode.d1.loss_cls: 0.2069, decode.d1.loss_mask: 0.4231, decode.d1.loss_dice: 0.6497, decode.d2.loss_cls: 0.1785, decode.d2.loss_mask: 0.4171, decode.d2.loss_dice: 0.6375, decode.d3.loss_cls: 0.1663, decode.d3.loss_mask: 0.4120, decode.d3.loss_dice: 0.6277, decode.d4.loss_cls: 0.1595, decode.d4.loss_mask: 0.4122, decode.d4.loss_dice: 0.6248, decode.d5.loss_cls: 0.1554, decode.d5.loss_mask: 0.4109, decode.d5.loss_dice: 0.6221, decode.d6.loss_cls: 0.1508, decode.d6.loss_mask: 0.4088, decode.d6.loss_dice: 0.6238, decode.d7.loss_cls: 0.1524, decode.d7.loss_mask: 0.4094, decode.d7.loss_dice: 0.6239, decode.d8.loss_cls: 0.1459, decode.d8.loss_mask: 0.4099, decode.d8.loss_dice: 0.6232, loss: 13.0481, grad_norm: 44.1594 2023-11-12 16:10:23,891 - mmseg - INFO - Iter [125350/160000] lr: 2.166e-05, eta: 4:48:53, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1373, decode.loss_mask: 0.4122, decode.loss_dice: 0.6255, decode.d0.loss_cls: 1.1177, decode.d0.loss_mask: 0.4431, decode.d0.loss_dice: 0.6704, decode.d1.loss_cls: 0.1926, decode.d1.loss_mask: 0.4219, decode.d1.loss_dice: 0.6508, decode.d2.loss_cls: 0.1673, decode.d2.loss_mask: 0.4175, decode.d2.loss_dice: 0.6367, decode.d3.loss_cls: 0.1554, decode.d3.loss_mask: 0.4143, decode.d3.loss_dice: 0.6281, decode.d4.loss_cls: 0.1471, decode.d4.loss_mask: 0.4136, decode.d4.loss_dice: 0.6269, decode.d5.loss_cls: 0.1439, decode.d5.loss_mask: 0.4126, decode.d5.loss_dice: 0.6260, decode.d6.loss_cls: 0.1435, decode.d6.loss_mask: 0.4124, decode.d6.loss_dice: 0.6239, decode.d7.loss_cls: 0.1407, decode.d7.loss_mask: 0.4129, decode.d7.loss_dice: 0.6211, decode.d8.loss_cls: 0.1372, decode.d8.loss_mask: 0.4126, decode.d8.loss_dice: 0.6245, loss: 12.9895, grad_norm: 46.5319 2023-11-12 16:10:47,992 - mmseg - INFO - Iter [125400/160000] lr: 2.163e-05, eta: 4:48:27, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1599, decode.loss_mask: 0.4102, decode.loss_dice: 0.6455, decode.d0.loss_cls: 1.1130, decode.d0.loss_mask: 0.4436, decode.d0.loss_dice: 0.7060, decode.d1.loss_cls: 0.2252, decode.d1.loss_mask: 0.4233, decode.d1.loss_dice: 0.6768, decode.d2.loss_cls: 0.1969, decode.d2.loss_mask: 0.4144, decode.d2.loss_dice: 0.6593, decode.d3.loss_cls: 0.1821, decode.d3.loss_mask: 0.4125, decode.d3.loss_dice: 0.6484, decode.d4.loss_cls: 0.1760, decode.d4.loss_mask: 0.4114, decode.d4.loss_dice: 0.6504, decode.d5.loss_cls: 0.1696, decode.d5.loss_mask: 0.4130, decode.d5.loss_dice: 0.6516, decode.d6.loss_cls: 0.1666, decode.d6.loss_mask: 0.4136, decode.d6.loss_dice: 0.6457, decode.d7.loss_cls: 0.1588, decode.d7.loss_mask: 0.4119, decode.d7.loss_dice: 0.6480, decode.d8.loss_cls: 0.1578, decode.d8.loss_mask: 0.4117, decode.d8.loss_dice: 0.6479, loss: 13.4512, grad_norm: 45.8825 2023-11-12 16:11:14,335 - mmseg - INFO - Iter [125450/160000] lr: 2.159e-05, eta: 4:48:03, time: 0.527, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1537, decode.loss_mask: 0.4122, decode.loss_dice: 0.6192, decode.d0.loss_cls: 1.1046, decode.d0.loss_mask: 0.4394, decode.d0.loss_dice: 0.6673, decode.d1.loss_cls: 0.2141, decode.d1.loss_mask: 0.4274, decode.d1.loss_dice: 0.6432, decode.d2.loss_cls: 0.1844, decode.d2.loss_mask: 0.4196, decode.d2.loss_dice: 0.6332, decode.d3.loss_cls: 0.1735, decode.d3.loss_mask: 0.4149, decode.d3.loss_dice: 0.6174, decode.d4.loss_cls: 0.1589, decode.d4.loss_mask: 0.4145, decode.d4.loss_dice: 0.6217, decode.d5.loss_cls: 0.1573, decode.d5.loss_mask: 0.4137, decode.d5.loss_dice: 0.6233, decode.d6.loss_cls: 0.1617, decode.d6.loss_mask: 0.4141, decode.d6.loss_dice: 0.6187, decode.d7.loss_cls: 0.1560, decode.d7.loss_mask: 0.4134, decode.d7.loss_dice: 0.6200, decode.d8.loss_cls: 0.1541, decode.d8.loss_mask: 0.4115, decode.d8.loss_dice: 0.6177, loss: 13.0807, grad_norm: 44.7617 2023-11-12 16:11:38,339 - mmseg - INFO - Iter [125500/160000] lr: 2.156e-05, eta: 4:47:37, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1538, decode.loss_mask: 0.4338, decode.loss_dice: 0.6367, decode.d0.loss_cls: 1.0945, decode.d0.loss_mask: 0.4617, decode.d0.loss_dice: 0.6869, decode.d1.loss_cls: 0.2184, decode.d1.loss_mask: 0.4462, decode.d1.loss_dice: 0.6622, decode.d2.loss_cls: 0.1791, decode.d2.loss_mask: 0.4381, decode.d2.loss_dice: 0.6470, decode.d3.loss_cls: 0.1697, decode.d3.loss_mask: 0.4357, decode.d3.loss_dice: 0.6391, decode.d4.loss_cls: 0.1651, decode.d4.loss_mask: 0.4351, decode.d4.loss_dice: 0.6353, decode.d5.loss_cls: 0.1614, decode.d5.loss_mask: 0.4349, decode.d5.loss_dice: 0.6400, decode.d6.loss_cls: 0.1589, decode.d6.loss_mask: 0.4335, decode.d6.loss_dice: 0.6389, decode.d7.loss_cls: 0.1574, decode.d7.loss_mask: 0.4334, decode.d7.loss_dice: 0.6377, decode.d8.loss_cls: 0.1536, decode.d8.loss_mask: 0.4333, decode.d8.loss_dice: 0.6359, loss: 13.4572, grad_norm: 49.8365 2023-11-12 16:12:02,955 - mmseg - INFO - Iter [125550/160000] lr: 2.153e-05, eta: 4:47:12, time: 0.492, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1385, decode.loss_mask: 0.4274, decode.loss_dice: 0.6345, decode.d0.loss_cls: 1.1271, decode.d0.loss_mask: 0.4562, decode.d0.loss_dice: 0.6812, decode.d1.loss_cls: 0.2087, decode.d1.loss_mask: 0.4408, decode.d1.loss_dice: 0.6594, decode.d2.loss_cls: 0.1696, decode.d2.loss_mask: 0.4325, decode.d2.loss_dice: 0.6447, decode.d3.loss_cls: 0.1600, decode.d3.loss_mask: 0.4297, decode.d3.loss_dice: 0.6383, decode.d4.loss_cls: 0.1482, decode.d4.loss_mask: 0.4277, decode.d4.loss_dice: 0.6367, decode.d5.loss_cls: 0.1470, decode.d5.loss_mask: 0.4266, decode.d5.loss_dice: 0.6342, decode.d6.loss_cls: 0.1410, decode.d6.loss_mask: 0.4266, decode.d6.loss_dice: 0.6343, decode.d7.loss_cls: 0.1363, decode.d7.loss_mask: 0.4271, decode.d7.loss_dice: 0.6338, decode.d8.loss_cls: 0.1412, decode.d8.loss_mask: 0.4260, decode.d8.loss_dice: 0.6346, loss: 13.2700, grad_norm: 53.2665 2023-11-12 16:12:27,100 - mmseg - INFO - Iter [125600/160000] lr: 2.150e-05, eta: 4:46:47, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1503, decode.loss_mask: 0.4136, decode.loss_dice: 0.6563, decode.d0.loss_cls: 1.1106, decode.d0.loss_mask: 0.4459, decode.d0.loss_dice: 0.7072, decode.d1.loss_cls: 0.2053, decode.d1.loss_mask: 0.4268, decode.d1.loss_dice: 0.6834, decode.d2.loss_cls: 0.1793, decode.d2.loss_mask: 0.4191, decode.d2.loss_dice: 0.6707, decode.d3.loss_cls: 0.1674, decode.d3.loss_mask: 0.4151, decode.d3.loss_dice: 0.6590, decode.d4.loss_cls: 0.1596, decode.d4.loss_mask: 0.4172, decode.d4.loss_dice: 0.6609, decode.d5.loss_cls: 0.1548, decode.d5.loss_mask: 0.4165, decode.d5.loss_dice: 0.6601, decode.d6.loss_cls: 0.1546, decode.d6.loss_mask: 0.4146, decode.d6.loss_dice: 0.6554, decode.d7.loss_cls: 0.1515, decode.d7.loss_mask: 0.4142, decode.d7.loss_dice: 0.6550, decode.d8.loss_cls: 0.1495, decode.d8.loss_mask: 0.4138, decode.d8.loss_dice: 0.6549, loss: 13.4427, grad_norm: 43.1817 2023-11-12 16:12:51,206 - mmseg - INFO - Iter [125650/160000] lr: 2.147e-05, eta: 4:46:22, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1505, decode.loss_mask: 0.4178, decode.loss_dice: 0.6223, decode.d0.loss_cls: 1.1083, decode.d0.loss_mask: 0.4555, decode.d0.loss_dice: 0.6775, decode.d1.loss_cls: 0.2145, decode.d1.loss_mask: 0.4310, decode.d1.loss_dice: 0.6481, decode.d2.loss_cls: 0.1834, decode.d2.loss_mask: 0.4258, decode.d2.loss_dice: 0.6353, decode.d3.loss_cls: 0.1682, decode.d3.loss_mask: 0.4204, decode.d3.loss_dice: 0.6257, decode.d4.loss_cls: 0.1564, decode.d4.loss_mask: 0.4196, decode.d4.loss_dice: 0.6272, decode.d5.loss_cls: 0.1519, decode.d5.loss_mask: 0.4202, decode.d5.loss_dice: 0.6254, decode.d6.loss_cls: 0.1499, decode.d6.loss_mask: 0.4200, decode.d6.loss_dice: 0.6200, decode.d7.loss_cls: 0.1488, decode.d7.loss_mask: 0.4190, decode.d7.loss_dice: 0.6237, decode.d8.loss_cls: 0.1450, decode.d8.loss_mask: 0.4191, decode.d8.loss_dice: 0.6265, loss: 13.1568, grad_norm: 45.0690 2023-11-12 16:13:15,236 - mmseg - INFO - Iter [125700/160000] lr: 2.144e-05, eta: 4:45:56, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1436, decode.loss_mask: 0.4121, decode.loss_dice: 0.6330, decode.d0.loss_cls: 1.0950, decode.d0.loss_mask: 0.4421, decode.d0.loss_dice: 0.6755, decode.d1.loss_cls: 0.1936, decode.d1.loss_mask: 0.4255, decode.d1.loss_dice: 0.6597, decode.d2.loss_cls: 0.1676, decode.d2.loss_mask: 0.4174, decode.d2.loss_dice: 0.6465, decode.d3.loss_cls: 0.1577, decode.d3.loss_mask: 0.4152, decode.d3.loss_dice: 0.6377, decode.d4.loss_cls: 0.1526, decode.d4.loss_mask: 0.4141, decode.d4.loss_dice: 0.6365, decode.d5.loss_cls: 0.1441, decode.d5.loss_mask: 0.4138, decode.d5.loss_dice: 0.6381, decode.d6.loss_cls: 0.1462, decode.d6.loss_mask: 0.4130, decode.d6.loss_dice: 0.6349, decode.d7.loss_cls: 0.1395, decode.d7.loss_mask: 0.4125, decode.d7.loss_dice: 0.6331, decode.d8.loss_cls: 0.1398, decode.d8.loss_mask: 0.4125, decode.d8.loss_dice: 0.6334, loss: 13.0861, grad_norm: 44.3764 2023-11-12 16:13:39,212 - mmseg - INFO - Iter [125750/160000] lr: 2.141e-05, eta: 4:45:31, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1559, decode.loss_mask: 0.4217, decode.loss_dice: 0.6394, decode.d0.loss_cls: 1.0881, decode.d0.loss_mask: 0.4506, decode.d0.loss_dice: 0.6894, decode.d1.loss_cls: 0.2115, decode.d1.loss_mask: 0.4344, decode.d1.loss_dice: 0.6658, decode.d2.loss_cls: 0.1773, decode.d2.loss_mask: 0.4279, decode.d2.loss_dice: 0.6517, decode.d3.loss_cls: 0.1690, decode.d3.loss_mask: 0.4243, decode.d3.loss_dice: 0.6442, decode.d4.loss_cls: 0.1639, decode.d4.loss_mask: 0.4244, decode.d4.loss_dice: 0.6409, decode.d5.loss_cls: 0.1569, decode.d5.loss_mask: 0.4239, decode.d5.loss_dice: 0.6402, decode.d6.loss_cls: 0.1578, decode.d6.loss_mask: 0.4219, decode.d6.loss_dice: 0.6360, decode.d7.loss_cls: 0.1550, decode.d7.loss_mask: 0.4226, decode.d7.loss_dice: 0.6391, decode.d8.loss_cls: 0.1549, decode.d8.loss_mask: 0.4214, decode.d8.loss_dice: 0.6389, loss: 13.3491, grad_norm: 45.5139 2023-11-12 16:14:02,860 - mmseg - INFO - Iter [125800/160000] lr: 2.138e-05, eta: 4:45:06, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1559, decode.loss_mask: 0.4407, decode.loss_dice: 0.6492, decode.d0.loss_cls: 1.1272, decode.d0.loss_mask: 0.4715, decode.d0.loss_dice: 0.6969, decode.d1.loss_cls: 0.2189, decode.d1.loss_mask: 0.4532, decode.d1.loss_dice: 0.6760, decode.d2.loss_cls: 0.1852, decode.d2.loss_mask: 0.4462, decode.d2.loss_dice: 0.6653, decode.d3.loss_cls: 0.1768, decode.d3.loss_mask: 0.4435, decode.d3.loss_dice: 0.6553, decode.d4.loss_cls: 0.1670, decode.d4.loss_mask: 0.4432, decode.d4.loss_dice: 0.6533, decode.d5.loss_cls: 0.1633, decode.d5.loss_mask: 0.4434, decode.d5.loss_dice: 0.6500, decode.d6.loss_cls: 0.1596, decode.d6.loss_mask: 0.4422, decode.d6.loss_dice: 0.6532, decode.d7.loss_cls: 0.1625, decode.d7.loss_mask: 0.4411, decode.d7.loss_dice: 0.6510, decode.d8.loss_cls: 0.1606, decode.d8.loss_mask: 0.4408, decode.d8.loss_dice: 0.6481, loss: 13.7409, grad_norm: 47.6776 2023-11-12 16:14:26,549 - mmseg - INFO - Iter [125850/160000] lr: 2.134e-05, eta: 4:44:40, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1660, decode.loss_mask: 0.4116, decode.loss_dice: 0.6425, decode.d0.loss_cls: 1.1015, decode.d0.loss_mask: 0.4442, decode.d0.loss_dice: 0.6936, decode.d1.loss_cls: 0.2216, decode.d1.loss_mask: 0.4223, decode.d1.loss_dice: 0.6737, decode.d2.loss_cls: 0.1921, decode.d2.loss_mask: 0.4152, decode.d2.loss_dice: 0.6585, decode.d3.loss_cls: 0.1806, decode.d3.loss_mask: 0.4117, decode.d3.loss_dice: 0.6471, decode.d4.loss_cls: 0.1697, decode.d4.loss_mask: 0.4114, decode.d4.loss_dice: 0.6442, decode.d5.loss_cls: 0.1695, decode.d5.loss_mask: 0.4114, decode.d5.loss_dice: 0.6450, decode.d6.loss_cls: 0.1674, decode.d6.loss_mask: 0.4114, decode.d6.loss_dice: 0.6453, decode.d7.loss_cls: 0.1653, decode.d7.loss_mask: 0.4119, decode.d7.loss_dice: 0.6431, decode.d8.loss_cls: 0.1633, decode.d8.loss_mask: 0.4119, decode.d8.loss_dice: 0.6426, loss: 13.3955, grad_norm: 50.0716 2023-11-12 16:14:50,323 - mmseg - INFO - Iter [125900/160000] lr: 2.131e-05, eta: 4:44:15, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1478, decode.loss_mask: 0.4276, decode.loss_dice: 0.6301, decode.d0.loss_cls: 1.1222, decode.d0.loss_mask: 0.4564, decode.d0.loss_dice: 0.6790, decode.d1.loss_cls: 0.2121, decode.d1.loss_mask: 0.4377, decode.d1.loss_dice: 0.6563, decode.d2.loss_cls: 0.1807, decode.d2.loss_mask: 0.4315, decode.d2.loss_dice: 0.6443, decode.d3.loss_cls: 0.1700, decode.d3.loss_mask: 0.4279, decode.d3.loss_dice: 0.6336, decode.d4.loss_cls: 0.1619, decode.d4.loss_mask: 0.4290, decode.d4.loss_dice: 0.6365, decode.d5.loss_cls: 0.1561, decode.d5.loss_mask: 0.4289, decode.d5.loss_dice: 0.6340, decode.d6.loss_cls: 0.1539, decode.d6.loss_mask: 0.4272, decode.d6.loss_dice: 0.6326, decode.d7.loss_cls: 0.1504, decode.d7.loss_mask: 0.4271, decode.d7.loss_dice: 0.6302, decode.d8.loss_cls: 0.1501, decode.d8.loss_mask: 0.4275, decode.d8.loss_dice: 0.6300, loss: 13.3325, grad_norm: 44.4661 2023-11-12 16:15:13,975 - mmseg - INFO - Iter [125950/160000] lr: 2.128e-05, eta: 4:43:50, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1449, decode.loss_mask: 0.4243, decode.loss_dice: 0.6481, decode.d0.loss_cls: 1.1104, decode.d0.loss_mask: 0.4568, decode.d0.loss_dice: 0.7002, decode.d1.loss_cls: 0.2039, decode.d1.loss_mask: 0.4389, decode.d1.loss_dice: 0.6718, decode.d2.loss_cls: 0.1755, decode.d2.loss_mask: 0.4290, decode.d2.loss_dice: 0.6574, decode.d3.loss_cls: 0.1585, decode.d3.loss_mask: 0.4261, decode.d3.loss_dice: 0.6507, decode.d4.loss_cls: 0.1552, decode.d4.loss_mask: 0.4275, decode.d4.loss_dice: 0.6506, decode.d5.loss_cls: 0.1517, decode.d5.loss_mask: 0.4250, decode.d5.loss_dice: 0.6501, decode.d6.loss_cls: 0.1462, decode.d6.loss_mask: 0.4248, decode.d6.loss_dice: 0.6462, decode.d7.loss_cls: 0.1441, decode.d7.loss_mask: 0.4259, decode.d7.loss_dice: 0.6506, decode.d8.loss_cls: 0.1461, decode.d8.loss_mask: 0.4239, decode.d8.loss_dice: 0.6467, loss: 13.4110, grad_norm: 46.9525 2023-11-12 16:15:37,902 - mmseg - INFO - Saving checkpoint at 126000 iterations 2023-11-12 16:15:41,732 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 16:15:41,733 - mmseg - INFO - Iter [126000/160000] lr: 2.125e-05, eta: 4:43:25, time: 0.555, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1599, decode.loss_mask: 0.4276, decode.loss_dice: 0.6667, decode.d0.loss_cls: 1.1370, decode.d0.loss_mask: 0.4597, decode.d0.loss_dice: 0.7169, decode.d1.loss_cls: 0.2223, decode.d1.loss_mask: 0.4425, decode.d1.loss_dice: 0.6940, decode.d2.loss_cls: 0.1916, decode.d2.loss_mask: 0.4334, decode.d2.loss_dice: 0.6773, decode.d3.loss_cls: 0.1773, decode.d3.loss_mask: 0.4290, decode.d3.loss_dice: 0.6690, decode.d4.loss_cls: 0.1661, decode.d4.loss_mask: 0.4303, decode.d4.loss_dice: 0.6685, decode.d5.loss_cls: 0.1655, decode.d5.loss_mask: 0.4290, decode.d5.loss_dice: 0.6694, decode.d6.loss_cls: 0.1639, decode.d6.loss_mask: 0.4275, decode.d6.loss_dice: 0.6654, decode.d7.loss_cls: 0.1605, decode.d7.loss_mask: 0.4283, decode.d7.loss_dice: 0.6657, decode.d8.loss_cls: 0.1607, decode.d8.loss_mask: 0.4262, decode.d8.loss_dice: 0.6661, loss: 13.7973, grad_norm: 52.8023 2023-11-12 16:16:01,360 - mmseg - INFO - per class results: 2023-11-12 16:16:01,366 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.13 | 87.75 | | building | 82.65 | 91.64 | | sky | 94.92 | 97.5 | | floor | 83.5 | 90.95 | | tree | 74.68 | 86.81 | | ceiling | 84.85 | 91.66 | | road | 85.03 | 91.63 | | bed | 90.67 | 96.04 | | windowpane | 64.11 | 80.33 | | grass | 66.41 | 75.71 | | cabinet | 63.03 | 75.14 | | sidewalk | 66.79 | 80.13 | | person | 84.44 | 93.68 | | earth | 40.97 | 62.31 | | door | 52.54 | 65.88 | | table | 65.05 | 80.52 | | mountain | 63.77 | 74.92 | | plant | 53.62 | 67.97 | | curtain | 79.39 | 88.15 | | chair | 64.03 | 77.04 | | car | 86.25 | 92.02 | | water | 57.9 | 74.98 | | painting | 78.79 | 89.28 | | sofa | 72.3 | 85.36 | | shelf | 43.95 | 65.47 | | house | 41.85 | 65.95 | | sea | 69.2 | 90.46 | | mirror | 70.04 | 82.3 | | rug | 67.28 | 79.59 | | field | 34.42 | 47.54 | | armchair | 51.21 | 68.5 | | seat | 62.0 | 81.44 | | fence | 49.13 | 64.23 | | desk | 52.8 | 73.95 | | rock | 48.71 | 78.56 | | wardrobe | 49.1 | 63.19 | | lamp | 72.32 | 86.38 | | bathtub | 78.29 | 85.94 | | railing | 37.03 | 52.24 | | cushion | 65.0 | 77.47 | | base | 26.56 | 36.19 | | box | 30.2 | 42.16 | | column | 47.23 | 62.5 | | signboard | 35.42 | 57.03 | | chest of drawers | 33.55 | 62.57 | | counter | 30.11 | 36.87 | | sand | 37.62 | 57.66 | | sink | 79.03 | 84.29 | | skyscraper | 37.18 | 46.11 | | fireplace | 74.8 | 94.16 | | refrigerator | 76.59 | 83.42 | | grandstand | 36.37 | 64.41 | | path | 28.44 | 43.72 | | stairs | 32.93 | 42.89 | | runway | 86.45 | 92.63 | | case | 58.44 | 77.66 | | pool table | 95.16 | 97.68 | | pillow | 61.36 | 72.12 | | screen door | 77.99 | 88.5 | | stairway | 33.06 | 38.63 | | river | 16.29 | 26.0 | | bridge | 78.36 | 87.98 | | bookcase | 40.12 | 62.65 | | blind | 46.72 | 55.3 | | coffee table | 64.28 | 82.26 | | toilet | 85.87 | 91.7 | | flower | 45.69 | 65.2 | | book | 51.42 | 73.36 | | hill | 7.85 | 15.75 | | bench | 59.8 | 79.1 | | countertop | 64.03 | 77.39 | | stove | 84.33 | 88.88 | | palm | 58.4 | 79.66 | | kitchen island | 47.93 | 89.72 | | computer | 71.95 | 78.55 | | swivel chair | 42.66 | 58.74 | | boat | 76.85 | 87.25 | | bar | 34.87 | 44.96 | | arcade machine | 64.83 | 68.73 | | hovel | 31.57 | 46.33 | | bus | 94.35 | 96.4 | | towel | 64.98 | 80.95 | | light | 62.08 | 72.0 | | truck | 32.38 | 57.44 | | tower | 27.76 | 46.25 | | chandelier | 72.85 | 83.88 | | awning | 31.03 | 48.12 | | streetlight | 41.97 | 64.9 | | booth | 38.56 | 63.39 | | television receiver | 71.94 | 80.51 | | airplane | 64.19 | 68.97 | | dirt track | 7.91 | 34.64 | | apparel | 31.9 | 46.86 | | pole | 31.58 | 45.75 | | land | 3.53 | 9.08 | | bannister | 21.01 | 29.3 | | escalator | 20.02 | 21.36 | | ottoman | 48.89 | 72.56 | | bottle | 34.84 | 43.28 | | buffet | 46.46 | 54.66 | | poster | 27.87 | 35.58 | | stage | 15.94 | 29.56 | | van | 54.56 | 75.05 | | ship | 5.99 | 10.67 | | fountain | 21.16 | 21.78 | | conveyer belt | 71.36 | 93.87 | | canopy | 31.11 | 45.84 | | washer | 71.58 | 73.53 | | plaything | 29.82 | 50.63 | | swimming pool | 35.54 | 38.28 | | stool | 47.9 | 65.65 | | barrel | 75.47 | 81.01 | | basket | 40.37 | 55.3 | | waterfall | 64.52 | 90.75 | | tent | 96.18 | 98.21 | | bag | 19.26 | 25.38 | | minibike | 73.91 | 92.38 | | cradle | 83.53 | 97.35 | | oven | 57.2 | 68.06 | | ball | 39.28 | 48.04 | | food | 53.94 | 63.76 | | step | 18.89 | 25.41 | | tank | 51.89 | 66.0 | | trade name | 19.89 | 23.83 | | microwave | 85.09 | 93.65 | | pot | 48.39 | 55.32 | | animal | 55.17 | 56.75 | | bicycle | 55.38 | 74.57 | | lake | 62.77 | 63.21 | | dishwasher | 78.47 | 84.15 | | screen | 57.84 | 89.98 | | blanket | 26.71 | 32.53 | | sculpture | 66.46 | 86.12 | | hood | 78.54 | 94.11 | | sconce | 53.47 | 68.55 | | vase | 50.83 | 63.63 | | traffic light | 36.86 | 69.41 | | tray | 18.05 | 35.02 | | ashcan | 52.75 | 66.47 | | fan | 72.04 | 84.03 | | pier | 32.99 | 44.79 | | crt screen | 3.3 | 9.67 | | plate | 58.9 | 73.86 | | monitor | 9.9 | 14.12 | | bulletin board | 56.2 | 72.8 | | shower | 4.19 | 19.42 | | radiator | 74.4 | 85.41 | | glass | 21.85 | 24.02 | | clock | 58.77 | 71.43 | | flag | 33.8 | 39.13 | +---------------------+-------+-------+ 2023-11-12 16:16:01,366 - mmseg - INFO - Summary: 2023-11-12 16:16:01,366 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 84.17 | 52.85 | 65.8 | +-------+-------+------+ 2023-11-12 16:16:01,367 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 16:16:01,367 - mmseg - INFO - Iter(val) [250] aAcc: 0.8417, mIoU: 0.5285, mAcc: 0.6580, IoU.wall: 0.7913, IoU.building: 0.8265, IoU.sky: 0.9492, IoU.floor: 0.8350, IoU.tree: 0.7468, IoU.ceiling: 0.8485, IoU.road: 0.8503, IoU.bed : 0.9067, IoU.windowpane: 0.6411, IoU.grass: 0.6641, IoU.cabinet: 0.6303, IoU.sidewalk: 0.6679, IoU.person: 0.8444, IoU.earth: 0.4097, IoU.door: 0.5254, IoU.table: 0.6505, IoU.mountain: 0.6377, IoU.plant: 0.5362, IoU.curtain: 0.7939, IoU.chair: 0.6403, IoU.car: 0.8625, IoU.water: 0.5790, IoU.painting: 0.7879, IoU.sofa: 0.7230, IoU.shelf: 0.4395, IoU.house: 0.4185, IoU.sea: 0.6920, IoU.mirror: 0.7004, IoU.rug: 0.6728, IoU.field: 0.3442, IoU.armchair: 0.5121, IoU.seat: 0.6200, IoU.fence: 0.4913, IoU.desk: 0.5280, IoU.rock: 0.4871, IoU.wardrobe: 0.4910, IoU.lamp: 0.7232, IoU.bathtub: 0.7829, IoU.railing: 0.3703, IoU.cushion: 0.6500, IoU.base: 0.2656, IoU.box: 0.3020, IoU.column: 0.4723, IoU.signboard: 0.3542, IoU.chest of drawers: 0.3355, IoU.counter: 0.3011, IoU.sand: 0.3762, IoU.sink: 0.7903, IoU.skyscraper: 0.3718, IoU.fireplace: 0.7480, IoU.refrigerator: 0.7659, IoU.grandstand: 0.3637, IoU.path: 0.2844, IoU.stairs: 0.3293, IoU.runway: 0.8645, IoU.case: 0.5844, IoU.pool table: 0.9516, IoU.pillow: 0.6136, IoU.screen door: 0.7799, IoU.stairway: 0.3306, IoU.river: 0.1629, IoU.bridge: 0.7836, IoU.bookcase: 0.4012, IoU.blind: 0.4672, IoU.coffee table: 0.6428, IoU.toilet: 0.8587, IoU.flower: 0.4569, IoU.book: 0.5142, IoU.hill: 0.0785, IoU.bench: 0.5980, IoU.countertop: 0.6403, IoU.stove: 0.8433, IoU.palm: 0.5840, IoU.kitchen island: 0.4793, IoU.computer: 0.7195, IoU.swivel chair: 0.4266, IoU.boat: 0.7685, IoU.bar: 0.3487, IoU.arcade machine: 0.6483, IoU.hovel: 0.3157, IoU.bus: 0.9435, IoU.towel: 0.6498, IoU.light: 0.6208, IoU.truck: 0.3238, IoU.tower: 0.2776, IoU.chandelier: 0.7285, IoU.awning: 0.3103, IoU.streetlight: 0.4197, IoU.booth: 0.3856, IoU.television receiver: 0.7194, IoU.airplane: 0.6419, IoU.dirt track: 0.0791, IoU.apparel: 0.3190, IoU.pole: 0.3158, IoU.land: 0.0353, IoU.bannister: 0.2101, IoU.escalator: 0.2002, IoU.ottoman: 0.4889, IoU.bottle: 0.3484, IoU.buffet: 0.4646, IoU.poster: 0.2787, IoU.stage: 0.1594, IoU.van: 0.5456, IoU.ship: 0.0599, IoU.fountain: 0.2116, IoU.conveyer belt: 0.7136, IoU.canopy: 0.3111, IoU.washer: 0.7158, IoU.plaything: 0.2982, IoU.swimming pool: 0.3554, IoU.stool: 0.4790, IoU.barrel: 0.7547, IoU.basket: 0.4037, IoU.waterfall: 0.6452, IoU.tent: 0.9618, IoU.bag: 0.1926, IoU.minibike: 0.7391, IoU.cradle: 0.8353, IoU.oven: 0.5720, IoU.ball: 0.3928, IoU.food: 0.5394, IoU.step: 0.1889, IoU.tank: 0.5189, IoU.trade name: 0.1989, IoU.microwave: 0.8509, IoU.pot: 0.4839, IoU.animal: 0.5517, IoU.bicycle: 0.5538, IoU.lake: 0.6277, IoU.dishwasher: 0.7847, IoU.screen: 0.5784, IoU.blanket: 0.2671, IoU.sculpture: 0.6646, IoU.hood: 0.7854, IoU.sconce: 0.5347, IoU.vase: 0.5083, IoU.traffic light: 0.3686, IoU.tray: 0.1805, IoU.ashcan: 0.5275, IoU.fan: 0.7204, IoU.pier: 0.3299, IoU.crt screen: 0.0330, IoU.plate: 0.5890, IoU.monitor: 0.0990, IoU.bulletin board: 0.5620, IoU.shower: 0.0419, IoU.radiator: 0.7440, IoU.glass: 0.2185, IoU.clock: 0.5877, IoU.flag: 0.3380, Acc.wall: 0.8775, Acc.building: 0.9164, Acc.sky: 0.9750, Acc.floor: 0.9095, Acc.tree: 0.8681, Acc.ceiling: 0.9166, Acc.road: 0.9163, Acc.bed : 0.9604, Acc.windowpane: 0.8033, Acc.grass: 0.7571, Acc.cabinet: 0.7514, Acc.sidewalk: 0.8013, Acc.person: 0.9368, Acc.earth: 0.6231, Acc.door: 0.6588, Acc.table: 0.8052, Acc.mountain: 0.7492, Acc.plant: 0.6797, Acc.curtain: 0.8815, Acc.chair: 0.7704, Acc.car: 0.9202, Acc.water: 0.7498, Acc.painting: 0.8928, Acc.sofa: 0.8536, Acc.shelf: 0.6547, Acc.house: 0.6595, Acc.sea: 0.9046, Acc.mirror: 0.8230, Acc.rug: 0.7959, Acc.field: 0.4754, Acc.armchair: 0.6850, Acc.seat: 0.8144, Acc.fence: 0.6423, Acc.desk: 0.7395, Acc.rock: 0.7856, Acc.wardrobe: 0.6319, Acc.lamp: 0.8638, Acc.bathtub: 0.8594, Acc.railing: 0.5224, Acc.cushion: 0.7747, Acc.base: 0.3619, Acc.box: 0.4216, Acc.column: 0.6250, Acc.signboard: 0.5703, Acc.chest of drawers: 0.6257, Acc.counter: 0.3687, Acc.sand: 0.5766, Acc.sink: 0.8429, Acc.skyscraper: 0.4611, Acc.fireplace: 0.9416, Acc.refrigerator: 0.8342, Acc.grandstand: 0.6441, Acc.path: 0.4372, Acc.stairs: 0.4289, Acc.runway: 0.9263, Acc.case: 0.7766, Acc.pool table: 0.9768, Acc.pillow: 0.7212, Acc.screen door: 0.8850, Acc.stairway: 0.3863, Acc.river: 0.2600, Acc.bridge: 0.8798, Acc.bookcase: 0.6265, Acc.blind: 0.5530, Acc.coffee table: 0.8226, Acc.toilet: 0.9170, Acc.flower: 0.6520, Acc.book: 0.7336, Acc.hill: 0.1575, Acc.bench: 0.7910, Acc.countertop: 0.7739, Acc.stove: 0.8888, Acc.palm: 0.7966, Acc.kitchen island: 0.8972, Acc.computer: 0.7855, Acc.swivel chair: 0.5874, Acc.boat: 0.8725, Acc.bar: 0.4496, Acc.arcade machine: 0.6873, Acc.hovel: 0.4633, Acc.bus: 0.9640, Acc.towel: 0.8095, Acc.light: 0.7200, Acc.truck: 0.5744, Acc.tower: 0.4625, Acc.chandelier: 0.8388, Acc.awning: 0.4812, Acc.streetlight: 0.6490, Acc.booth: 0.6339, Acc.television receiver: 0.8051, Acc.airplane: 0.6897, Acc.dirt track: 0.3464, Acc.apparel: 0.4686, Acc.pole: 0.4575, Acc.land: 0.0908, Acc.bannister: 0.2930, Acc.escalator: 0.2136, Acc.ottoman: 0.7256, Acc.bottle: 0.4328, Acc.buffet: 0.5466, Acc.poster: 0.3558, Acc.stage: 0.2956, Acc.van: 0.7505, Acc.ship: 0.1067, Acc.fountain: 0.2178, Acc.conveyer belt: 0.9387, Acc.canopy: 0.4584, Acc.washer: 0.7353, Acc.plaything: 0.5063, Acc.swimming pool: 0.3828, Acc.stool: 0.6565, Acc.barrel: 0.8101, Acc.basket: 0.5530, Acc.waterfall: 0.9075, Acc.tent: 0.9821, Acc.bag: 0.2538, Acc.minibike: 0.9238, Acc.cradle: 0.9735, Acc.oven: 0.6806, Acc.ball: 0.4804, Acc.food: 0.6376, Acc.step: 0.2541, Acc.tank: 0.6600, Acc.trade name: 0.2383, Acc.microwave: 0.9365, Acc.pot: 0.5532, Acc.animal: 0.5675, Acc.bicycle: 0.7457, Acc.lake: 0.6321, Acc.dishwasher: 0.8415, Acc.screen: 0.8998, Acc.blanket: 0.3253, Acc.sculpture: 0.8612, Acc.hood: 0.9411, Acc.sconce: 0.6855, Acc.vase: 0.6363, Acc.traffic light: 0.6941, Acc.tray: 0.3502, Acc.ashcan: 0.6647, Acc.fan: 0.8403, Acc.pier: 0.4479, Acc.crt screen: 0.0967, Acc.plate: 0.7386, Acc.monitor: 0.1412, Acc.bulletin board: 0.7280, Acc.shower: 0.1942, Acc.radiator: 0.8541, Acc.glass: 0.2402, Acc.clock: 0.7143, Acc.flag: 0.3913 2023-11-12 16:16:25,206 - mmseg - INFO - Iter [126050/160000] lr: 2.122e-05, eta: 4:43:05, time: 0.869, data_time: 0.406, memory: 41146, decode.loss_cls: 0.1389, decode.loss_mask: 0.4187, decode.loss_dice: 0.6235, decode.d0.loss_cls: 1.0896, decode.d0.loss_mask: 0.4505, decode.d0.loss_dice: 0.6786, decode.d1.loss_cls: 0.2034, decode.d1.loss_mask: 0.4307, decode.d1.loss_dice: 0.6496, decode.d2.loss_cls: 0.1759, decode.d2.loss_mask: 0.4231, decode.d2.loss_dice: 0.6345, decode.d3.loss_cls: 0.1616, decode.d3.loss_mask: 0.4200, decode.d3.loss_dice: 0.6243, decode.d4.loss_cls: 0.1522, decode.d4.loss_mask: 0.4192, decode.d4.loss_dice: 0.6235, decode.d5.loss_cls: 0.1509, decode.d5.loss_mask: 0.4188, decode.d5.loss_dice: 0.6251, decode.d6.loss_cls: 0.1445, decode.d6.loss_mask: 0.4188, decode.d6.loss_dice: 0.6200, decode.d7.loss_cls: 0.1426, decode.d7.loss_mask: 0.4181, decode.d7.loss_dice: 0.6217, decode.d8.loss_cls: 0.1430, decode.d8.loss_mask: 0.4186, decode.d8.loss_dice: 0.6182, loss: 13.0579, grad_norm: 46.8224 2023-11-12 16:16:49,241 - mmseg - INFO - Iter [126100/160000] lr: 2.119e-05, eta: 4:42:40, time: 0.481, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1626, decode.loss_mask: 0.4094, decode.loss_dice: 0.6540, decode.d0.loss_cls: 1.1326, decode.d0.loss_mask: 0.4378, decode.d0.loss_dice: 0.7021, decode.d1.loss_cls: 0.2185, decode.d1.loss_mask: 0.4212, decode.d1.loss_dice: 0.6799, decode.d2.loss_cls: 0.1849, decode.d2.loss_mask: 0.4148, decode.d2.loss_dice: 0.6697, decode.d3.loss_cls: 0.1744, decode.d3.loss_mask: 0.4116, decode.d3.loss_dice: 0.6580, decode.d4.loss_cls: 0.1698, decode.d4.loss_mask: 0.4110, decode.d4.loss_dice: 0.6565, decode.d5.loss_cls: 0.1679, decode.d5.loss_mask: 0.4112, decode.d5.loss_dice: 0.6551, decode.d6.loss_cls: 0.1689, decode.d6.loss_mask: 0.4094, decode.d6.loss_dice: 0.6513, decode.d7.loss_cls: 0.1664, decode.d7.loss_mask: 0.4078, decode.d7.loss_dice: 0.6519, decode.d8.loss_cls: 0.1690, decode.d8.loss_mask: 0.4073, decode.d8.loss_dice: 0.6548, loss: 13.4898, grad_norm: 46.2301 2023-11-12 16:17:13,357 - mmseg - INFO - Iter [126150/160000] lr: 2.116e-05, eta: 4:42:15, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1660, decode.loss_mask: 0.4326, decode.loss_dice: 0.6486, decode.d0.loss_cls: 1.1346, decode.d0.loss_mask: 0.4647, decode.d0.loss_dice: 0.7026, decode.d1.loss_cls: 0.2292, decode.d1.loss_mask: 0.4462, decode.d1.loss_dice: 0.6763, decode.d2.loss_cls: 0.1933, decode.d2.loss_mask: 0.4393, decode.d2.loss_dice: 0.6613, decode.d3.loss_cls: 0.1813, decode.d3.loss_mask: 0.4375, decode.d3.loss_dice: 0.6470, decode.d4.loss_cls: 0.1739, decode.d4.loss_mask: 0.4340, decode.d4.loss_dice: 0.6474, decode.d5.loss_cls: 0.1714, decode.d5.loss_mask: 0.4361, decode.d5.loss_dice: 0.6470, decode.d6.loss_cls: 0.1721, decode.d6.loss_mask: 0.4343, decode.d6.loss_dice: 0.6431, decode.d7.loss_cls: 0.1700, decode.d7.loss_mask: 0.4342, decode.d7.loss_dice: 0.6474, decode.d8.loss_cls: 0.1652, decode.d8.loss_mask: 0.4335, decode.d8.loss_dice: 0.6473, loss: 13.7175, grad_norm: 44.2218 2023-11-12 16:17:37,002 - mmseg - INFO - Iter [126200/160000] lr: 2.113e-05, eta: 4:41:50, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1642, decode.loss_mask: 0.3989, decode.loss_dice: 0.6210, decode.d0.loss_cls: 1.1387, decode.d0.loss_mask: 0.4272, decode.d0.loss_dice: 0.6732, decode.d1.loss_cls: 0.2216, decode.d1.loss_mask: 0.4137, decode.d1.loss_dice: 0.6500, decode.d2.loss_cls: 0.1944, decode.d2.loss_mask: 0.4056, decode.d2.loss_dice: 0.6334, decode.d3.loss_cls: 0.1793, decode.d3.loss_mask: 0.4038, decode.d3.loss_dice: 0.6194, decode.d4.loss_cls: 0.1732, decode.d4.loss_mask: 0.4014, decode.d4.loss_dice: 0.6215, decode.d5.loss_cls: 0.1733, decode.d5.loss_mask: 0.4005, decode.d5.loss_dice: 0.6204, decode.d6.loss_cls: 0.1756, decode.d6.loss_mask: 0.4006, decode.d6.loss_dice: 0.6207, decode.d7.loss_cls: 0.1668, decode.d7.loss_mask: 0.3999, decode.d7.loss_dice: 0.6201, decode.d8.loss_cls: 0.1678, decode.d8.loss_mask: 0.4000, decode.d8.loss_dice: 0.6223, loss: 13.1085, grad_norm: 45.7901 2023-11-12 16:18:00,784 - mmseg - INFO - Iter [126250/160000] lr: 2.109e-05, eta: 4:41:24, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1447, decode.loss_mask: 0.4076, decode.loss_dice: 0.6338, decode.d0.loss_cls: 1.0939, decode.d0.loss_mask: 0.4373, decode.d0.loss_dice: 0.6845, decode.d1.loss_cls: 0.2056, decode.d1.loss_mask: 0.4198, decode.d1.loss_dice: 0.6594, decode.d2.loss_cls: 0.1718, decode.d2.loss_mask: 0.4141, decode.d2.loss_dice: 0.6478, decode.d3.loss_cls: 0.1554, decode.d3.loss_mask: 0.4112, decode.d3.loss_dice: 0.6397, decode.d4.loss_cls: 0.1480, decode.d4.loss_mask: 0.4107, decode.d4.loss_dice: 0.6394, decode.d5.loss_cls: 0.1508, decode.d5.loss_mask: 0.4104, decode.d5.loss_dice: 0.6410, decode.d6.loss_cls: 0.1492, decode.d6.loss_mask: 0.4098, decode.d6.loss_dice: 0.6354, decode.d7.loss_cls: 0.1453, decode.d7.loss_mask: 0.4094, decode.d7.loss_dice: 0.6343, decode.d8.loss_cls: 0.1449, decode.d8.loss_mask: 0.4089, decode.d8.loss_dice: 0.6388, loss: 13.1029, grad_norm: 44.4495 2023-11-12 16:18:24,385 - mmseg - INFO - Iter [126300/160000] lr: 2.106e-05, eta: 4:40:59, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1480, decode.loss_mask: 0.4263, decode.loss_dice: 0.6319, decode.d0.loss_cls: 1.1231, decode.d0.loss_mask: 0.4637, decode.d0.loss_dice: 0.6950, decode.d1.loss_cls: 0.2101, decode.d1.loss_mask: 0.4405, decode.d1.loss_dice: 0.6687, decode.d2.loss_cls: 0.1845, decode.d2.loss_mask: 0.4324, decode.d2.loss_dice: 0.6465, decode.d3.loss_cls: 0.1655, decode.d3.loss_mask: 0.4295, decode.d3.loss_dice: 0.6401, decode.d4.loss_cls: 0.1575, decode.d4.loss_mask: 0.4288, decode.d4.loss_dice: 0.6402, decode.d5.loss_cls: 0.1558, decode.d5.loss_mask: 0.4270, decode.d5.loss_dice: 0.6374, decode.d6.loss_cls: 0.1546, decode.d6.loss_mask: 0.4263, decode.d6.loss_dice: 0.6333, decode.d7.loss_cls: 0.1510, decode.d7.loss_mask: 0.4268, decode.d7.loss_dice: 0.6317, decode.d8.loss_cls: 0.1492, decode.d8.loss_mask: 0.4265, decode.d8.loss_dice: 0.6327, loss: 13.3850, grad_norm: 48.4775 2023-11-12 16:18:50,668 - mmseg - INFO - Iter [126350/160000] lr: 2.103e-05, eta: 4:40:34, time: 0.526, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1443, decode.loss_mask: 0.3970, decode.loss_dice: 0.6151, decode.d0.loss_cls: 1.1102, decode.d0.loss_mask: 0.4306, decode.d0.loss_dice: 0.6772, decode.d1.loss_cls: 0.2083, decode.d1.loss_mask: 0.4092, decode.d1.loss_dice: 0.6475, decode.d2.loss_cls: 0.1795, decode.d2.loss_mask: 0.4026, decode.d2.loss_dice: 0.6252, decode.d3.loss_cls: 0.1573, decode.d3.loss_mask: 0.3982, decode.d3.loss_dice: 0.6226, decode.d4.loss_cls: 0.1504, decode.d4.loss_mask: 0.3976, decode.d4.loss_dice: 0.6179, decode.d5.loss_cls: 0.1498, decode.d5.loss_mask: 0.3966, decode.d5.loss_dice: 0.6193, decode.d6.loss_cls: 0.1460, decode.d6.loss_mask: 0.3964, decode.d6.loss_dice: 0.6170, decode.d7.loss_cls: 0.1452, decode.d7.loss_mask: 0.3958, decode.d7.loss_dice: 0.6193, decode.d8.loss_cls: 0.1416, decode.d8.loss_mask: 0.3959, decode.d8.loss_dice: 0.6143, loss: 12.8277, grad_norm: 42.1083 2023-11-12 16:19:14,726 - mmseg - INFO - Iter [126400/160000] lr: 2.100e-05, eta: 4:40:09, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1552, decode.loss_mask: 0.4087, decode.loss_dice: 0.6319, decode.d0.loss_cls: 1.1387, decode.d0.loss_mask: 0.4405, decode.d0.loss_dice: 0.6893, decode.d1.loss_cls: 0.2116, decode.d1.loss_mask: 0.4210, decode.d1.loss_dice: 0.6633, decode.d2.loss_cls: 0.1879, decode.d2.loss_mask: 0.4133, decode.d2.loss_dice: 0.6491, decode.d3.loss_cls: 0.1726, decode.d3.loss_mask: 0.4101, decode.d3.loss_dice: 0.6419, decode.d4.loss_cls: 0.1660, decode.d4.loss_mask: 0.4086, decode.d4.loss_dice: 0.6382, decode.d5.loss_cls: 0.1591, decode.d5.loss_mask: 0.4083, decode.d5.loss_dice: 0.6381, decode.d6.loss_cls: 0.1585, decode.d6.loss_mask: 0.4079, decode.d6.loss_dice: 0.6360, decode.d7.loss_cls: 0.1585, decode.d7.loss_mask: 0.4079, decode.d7.loss_dice: 0.6335, decode.d8.loss_cls: 0.1586, decode.d8.loss_mask: 0.4078, decode.d8.loss_dice: 0.6356, loss: 13.2575, grad_norm: 46.5773 2023-11-12 16:19:38,438 - mmseg - INFO - Iter [126450/160000] lr: 2.097e-05, eta: 4:39:43, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1521, decode.loss_mask: 0.4266, decode.loss_dice: 0.6389, decode.d0.loss_cls: 1.1233, decode.d0.loss_mask: 0.4607, decode.d0.loss_dice: 0.6999, decode.d1.loss_cls: 0.2172, decode.d1.loss_mask: 0.4390, decode.d1.loss_dice: 0.6737, decode.d2.loss_cls: 0.1866, decode.d2.loss_mask: 0.4320, decode.d2.loss_dice: 0.6560, decode.d3.loss_cls: 0.1694, decode.d3.loss_mask: 0.4287, decode.d3.loss_dice: 0.6397, decode.d4.loss_cls: 0.1669, decode.d4.loss_mask: 0.4273, decode.d4.loss_dice: 0.6398, decode.d5.loss_cls: 0.1613, decode.d5.loss_mask: 0.4270, decode.d5.loss_dice: 0.6424, decode.d6.loss_cls: 0.1568, decode.d6.loss_mask: 0.4276, decode.d6.loss_dice: 0.6373, decode.d7.loss_cls: 0.1549, decode.d7.loss_mask: 0.4267, decode.d7.loss_dice: 0.6411, decode.d8.loss_cls: 0.1572, decode.d8.loss_mask: 0.4265, decode.d8.loss_dice: 0.6359, loss: 13.4724, grad_norm: 46.0037 2023-11-12 16:20:02,350 - mmseg - INFO - Iter [126500/160000] lr: 2.094e-05, eta: 4:39:18, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1354, decode.loss_mask: 0.4320, decode.loss_dice: 0.6337, decode.d0.loss_cls: 1.1117, decode.d0.loss_mask: 0.4654, decode.d0.loss_dice: 0.6849, decode.d1.loss_cls: 0.2004, decode.d1.loss_mask: 0.4449, decode.d1.loss_dice: 0.6615, decode.d2.loss_cls: 0.1662, decode.d2.loss_mask: 0.4380, decode.d2.loss_dice: 0.6480, decode.d3.loss_cls: 0.1570, decode.d3.loss_mask: 0.4335, decode.d3.loss_dice: 0.6358, decode.d4.loss_cls: 0.1477, decode.d4.loss_mask: 0.4330, decode.d4.loss_dice: 0.6344, decode.d5.loss_cls: 0.1444, decode.d5.loss_mask: 0.4326, decode.d5.loss_dice: 0.6328, decode.d6.loss_cls: 0.1394, decode.d6.loss_mask: 0.4326, decode.d6.loss_dice: 0.6296, decode.d7.loss_cls: 0.1355, decode.d7.loss_mask: 0.4334, decode.d7.loss_dice: 0.6327, decode.d8.loss_cls: 0.1357, decode.d8.loss_mask: 0.4324, decode.d8.loss_dice: 0.6319, loss: 13.2765, grad_norm: 46.7694 2023-11-12 16:20:26,301 - mmseg - INFO - Iter [126550/160000] lr: 2.091e-05, eta: 4:38:53, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1418, decode.loss_mask: 0.4225, decode.loss_dice: 0.6354, decode.d0.loss_cls: 1.0829, decode.d0.loss_mask: 0.4495, decode.d0.loss_dice: 0.6828, decode.d1.loss_cls: 0.2009, decode.d1.loss_mask: 0.4311, decode.d1.loss_dice: 0.6594, decode.d2.loss_cls: 0.1728, decode.d2.loss_mask: 0.4268, decode.d2.loss_dice: 0.6504, decode.d3.loss_cls: 0.1639, decode.d3.loss_mask: 0.4239, decode.d3.loss_dice: 0.6393, decode.d4.loss_cls: 0.1571, decode.d4.loss_mask: 0.4233, decode.d4.loss_dice: 0.6326, decode.d5.loss_cls: 0.1532, decode.d5.loss_mask: 0.4227, decode.d5.loss_dice: 0.6395, decode.d6.loss_cls: 0.1450, decode.d6.loss_mask: 0.4243, decode.d6.loss_dice: 0.6339, decode.d7.loss_cls: 0.1443, decode.d7.loss_mask: 0.4234, decode.d7.loss_dice: 0.6390, decode.d8.loss_cls: 0.1417, decode.d8.loss_mask: 0.4233, decode.d8.loss_dice: 0.6344, loss: 13.2209, grad_norm: 45.7185 2023-11-12 16:20:50,025 - mmseg - INFO - Iter [126600/160000] lr: 2.088e-05, eta: 4:38:28, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1427, decode.loss_mask: 0.4024, decode.loss_dice: 0.6326, decode.d0.loss_cls: 1.1103, decode.d0.loss_mask: 0.4270, decode.d0.loss_dice: 0.6844, decode.d1.loss_cls: 0.2047, decode.d1.loss_mask: 0.4121, decode.d1.loss_dice: 0.6605, decode.d2.loss_cls: 0.1738, decode.d2.loss_mask: 0.4063, decode.d2.loss_dice: 0.6504, decode.d3.loss_cls: 0.1649, decode.d3.loss_mask: 0.4032, decode.d3.loss_dice: 0.6382, decode.d4.loss_cls: 0.1511, decode.d4.loss_mask: 0.4036, decode.d4.loss_dice: 0.6379, decode.d5.loss_cls: 0.1508, decode.d5.loss_mask: 0.4029, decode.d5.loss_dice: 0.6388, decode.d6.loss_cls: 0.1488, decode.d6.loss_mask: 0.4031, decode.d6.loss_dice: 0.6373, decode.d7.loss_cls: 0.1486, decode.d7.loss_mask: 0.4022, decode.d7.loss_dice: 0.6336, decode.d8.loss_cls: 0.1459, decode.d8.loss_mask: 0.4022, decode.d8.loss_dice: 0.6385, loss: 13.0588, grad_norm: 47.1612 2023-11-12 16:21:13,641 - mmseg - INFO - Iter [126650/160000] lr: 2.084e-05, eta: 4:38:02, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1482, decode.loss_mask: 0.4150, decode.loss_dice: 0.6374, decode.d0.loss_cls: 1.0596, decode.d0.loss_mask: 0.4458, decode.d0.loss_dice: 0.6923, decode.d1.loss_cls: 0.2031, decode.d1.loss_mask: 0.4283, decode.d1.loss_dice: 0.6667, decode.d2.loss_cls: 0.1792, decode.d2.loss_mask: 0.4208, decode.d2.loss_dice: 0.6487, decode.d3.loss_cls: 0.1677, decode.d3.loss_mask: 0.4178, decode.d3.loss_dice: 0.6392, decode.d4.loss_cls: 0.1556, decode.d4.loss_mask: 0.4166, decode.d4.loss_dice: 0.6409, decode.d5.loss_cls: 0.1532, decode.d5.loss_mask: 0.4156, decode.d5.loss_dice: 0.6370, decode.d6.loss_cls: 0.1567, decode.d6.loss_mask: 0.4157, decode.d6.loss_dice: 0.6387, decode.d7.loss_cls: 0.1533, decode.d7.loss_mask: 0.4137, decode.d7.loss_dice: 0.6349, decode.d8.loss_cls: 0.1511, decode.d8.loss_mask: 0.4135, decode.d8.loss_dice: 0.6369, loss: 13.2031, grad_norm: 44.3515 2023-11-12 16:21:37,303 - mmseg - INFO - Iter [126700/160000] lr: 2.081e-05, eta: 4:37:37, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1403, decode.loss_mask: 0.4141, decode.loss_dice: 0.6272, decode.d0.loss_cls: 1.1042, decode.d0.loss_mask: 0.4456, decode.d0.loss_dice: 0.6773, decode.d1.loss_cls: 0.2028, decode.d1.loss_mask: 0.4285, decode.d1.loss_dice: 0.6511, decode.d2.loss_cls: 0.1705, decode.d2.loss_mask: 0.4195, decode.d2.loss_dice: 0.6423, decode.d3.loss_cls: 0.1572, decode.d3.loss_mask: 0.4161, decode.d3.loss_dice: 0.6265, decode.d4.loss_cls: 0.1492, decode.d4.loss_mask: 0.4155, decode.d4.loss_dice: 0.6267, decode.d5.loss_cls: 0.1477, decode.d5.loss_mask: 0.4147, decode.d5.loss_dice: 0.6262, decode.d6.loss_cls: 0.1443, decode.d6.loss_mask: 0.4137, decode.d6.loss_dice: 0.6245, decode.d7.loss_cls: 0.1429, decode.d7.loss_mask: 0.4120, decode.d7.loss_dice: 0.6212, decode.d8.loss_cls: 0.1440, decode.d8.loss_mask: 0.4124, decode.d8.loss_dice: 0.6271, loss: 13.0453, grad_norm: 47.6132 2023-11-12 16:22:00,802 - mmseg - INFO - Iter [126750/160000] lr: 2.078e-05, eta: 4:37:11, time: 0.470, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1435, decode.loss_mask: 0.4240, decode.loss_dice: 0.6346, decode.d0.loss_cls: 1.1121, decode.d0.loss_mask: 0.4553, decode.d0.loss_dice: 0.6815, decode.d1.loss_cls: 0.2016, decode.d1.loss_mask: 0.4334, decode.d1.loss_dice: 0.6616, decode.d2.loss_cls: 0.1687, decode.d2.loss_mask: 0.4285, decode.d2.loss_dice: 0.6489, decode.d3.loss_cls: 0.1609, decode.d3.loss_mask: 0.4249, decode.d3.loss_dice: 0.6376, decode.d4.loss_cls: 0.1518, decode.d4.loss_mask: 0.4242, decode.d4.loss_dice: 0.6370, decode.d5.loss_cls: 0.1502, decode.d5.loss_mask: 0.4250, decode.d5.loss_dice: 0.6360, decode.d6.loss_cls: 0.1529, decode.d6.loss_mask: 0.4243, decode.d6.loss_dice: 0.6329, decode.d7.loss_cls: 0.1465, decode.d7.loss_mask: 0.4257, decode.d7.loss_dice: 0.6373, decode.d8.loss_cls: 0.1433, decode.d8.loss_mask: 0.4238, decode.d8.loss_dice: 0.6378, loss: 13.2659, grad_norm: 44.5821 2023-11-12 16:22:24,619 - mmseg - INFO - Iter [126800/160000] lr: 2.075e-05, eta: 4:36:46, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1391, decode.loss_mask: 0.4259, decode.loss_dice: 0.6330, decode.d0.loss_cls: 1.0986, decode.d0.loss_mask: 0.4535, decode.d0.loss_dice: 0.6854, decode.d1.loss_cls: 0.2006, decode.d1.loss_mask: 0.4376, decode.d1.loss_dice: 0.6658, decode.d2.loss_cls: 0.1667, decode.d2.loss_mask: 0.4311, decode.d2.loss_dice: 0.6463, decode.d3.loss_cls: 0.1594, decode.d3.loss_mask: 0.4285, decode.d3.loss_dice: 0.6365, decode.d4.loss_cls: 0.1522, decode.d4.loss_mask: 0.4282, decode.d4.loss_dice: 0.6354, decode.d5.loss_cls: 0.1468, decode.d5.loss_mask: 0.4263, decode.d5.loss_dice: 0.6368, decode.d6.loss_cls: 0.1450, decode.d6.loss_mask: 0.4255, decode.d6.loss_dice: 0.6338, decode.d7.loss_cls: 0.1401, decode.d7.loss_mask: 0.4254, decode.d7.loss_dice: 0.6309, decode.d8.loss_cls: 0.1393, decode.d8.loss_mask: 0.4247, decode.d8.loss_dice: 0.6345, loss: 13.2329, grad_norm: 47.6619 2023-11-12 16:22:48,534 - mmseg - INFO - Iter [126850/160000] lr: 2.072e-05, eta: 4:36:21, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1432, decode.loss_mask: 0.4169, decode.loss_dice: 0.6277, decode.d0.loss_cls: 1.1008, decode.d0.loss_mask: 0.4405, decode.d0.loss_dice: 0.6717, decode.d1.loss_cls: 0.2128, decode.d1.loss_mask: 0.4273, decode.d1.loss_dice: 0.6491, decode.d2.loss_cls: 0.1723, decode.d2.loss_mask: 0.4212, decode.d2.loss_dice: 0.6385, decode.d3.loss_cls: 0.1621, decode.d3.loss_mask: 0.4187, decode.d3.loss_dice: 0.6253, decode.d4.loss_cls: 0.1522, decode.d4.loss_mask: 0.4179, decode.d4.loss_dice: 0.6280, decode.d5.loss_cls: 0.1529, decode.d5.loss_mask: 0.4172, decode.d5.loss_dice: 0.6273, decode.d6.loss_cls: 0.1508, decode.d6.loss_mask: 0.4161, decode.d6.loss_dice: 0.6230, decode.d7.loss_cls: 0.1453, decode.d7.loss_mask: 0.4183, decode.d7.loss_dice: 0.6232, decode.d8.loss_cls: 0.1443, decode.d8.loss_mask: 0.4176, decode.d8.loss_dice: 0.6262, loss: 13.0884, grad_norm: 50.0387 2023-11-12 16:23:12,325 - mmseg - INFO - Iter [126900/160000] lr: 2.069e-05, eta: 4:35:55, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1502, decode.loss_mask: 0.4169, decode.loss_dice: 0.6476, decode.d0.loss_cls: 1.1014, decode.d0.loss_mask: 0.4431, decode.d0.loss_dice: 0.6942, decode.d1.loss_cls: 0.2131, decode.d1.loss_mask: 0.4266, decode.d1.loss_dice: 0.6723, decode.d2.loss_cls: 0.1851, decode.d2.loss_mask: 0.4219, decode.d2.loss_dice: 0.6569, decode.d3.loss_cls: 0.1728, decode.d3.loss_mask: 0.4200, decode.d3.loss_dice: 0.6496, decode.d4.loss_cls: 0.1648, decode.d4.loss_mask: 0.4176, decode.d4.loss_dice: 0.6471, decode.d5.loss_cls: 0.1626, decode.d5.loss_mask: 0.4171, decode.d5.loss_dice: 0.6494, decode.d6.loss_cls: 0.1615, decode.d6.loss_mask: 0.4168, decode.d6.loss_dice: 0.6461, decode.d7.loss_cls: 0.1560, decode.d7.loss_mask: 0.4147, decode.d7.loss_dice: 0.6464, decode.d8.loss_cls: 0.1499, decode.d8.loss_mask: 0.4170, decode.d8.loss_dice: 0.6479, loss: 13.3868, grad_norm: 47.3047 2023-11-12 16:23:36,161 - mmseg - INFO - Iter [126950/160000] lr: 2.066e-05, eta: 4:35:30, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1534, decode.loss_mask: 0.4239, decode.loss_dice: 0.6290, decode.d0.loss_cls: 1.1211, decode.d0.loss_mask: 0.4525, decode.d0.loss_dice: 0.6807, decode.d1.loss_cls: 0.2102, decode.d1.loss_mask: 0.4331, decode.d1.loss_dice: 0.6553, decode.d2.loss_cls: 0.1796, decode.d2.loss_mask: 0.4278, decode.d2.loss_dice: 0.6426, decode.d3.loss_cls: 0.1661, decode.d3.loss_mask: 0.4251, decode.d3.loss_dice: 0.6341, decode.d4.loss_cls: 0.1645, decode.d4.loss_mask: 0.4232, decode.d4.loss_dice: 0.6286, decode.d5.loss_cls: 0.1598, decode.d5.loss_mask: 0.4232, decode.d5.loss_dice: 0.6309, decode.d6.loss_cls: 0.1538, decode.d6.loss_mask: 0.4234, decode.d6.loss_dice: 0.6265, decode.d7.loss_cls: 0.1591, decode.d7.loss_mask: 0.4241, decode.d7.loss_dice: 0.6286, decode.d8.loss_cls: 0.1540, decode.d8.loss_mask: 0.4233, decode.d8.loss_dice: 0.6286, loss: 13.2861, grad_norm: 45.6394 2023-11-12 16:23:59,962 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 16:23:59,962 - mmseg - INFO - Iter [127000/160000] lr: 2.063e-05, eta: 4:35:05, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1675, decode.loss_mask: 0.4245, decode.loss_dice: 0.6514, decode.d0.loss_cls: 1.1458, decode.d0.loss_mask: 0.4537, decode.d0.loss_dice: 0.7124, decode.d1.loss_cls: 0.2264, decode.d1.loss_mask: 0.4367, decode.d1.loss_dice: 0.6865, decode.d2.loss_cls: 0.1999, decode.d2.loss_mask: 0.4288, decode.d2.loss_dice: 0.6642, decode.d3.loss_cls: 0.1834, decode.d3.loss_mask: 0.4260, decode.d3.loss_dice: 0.6565, decode.d4.loss_cls: 0.1763, decode.d4.loss_mask: 0.4250, decode.d4.loss_dice: 0.6501, decode.d5.loss_cls: 0.1694, decode.d5.loss_mask: 0.4254, decode.d5.loss_dice: 0.6576, decode.d6.loss_cls: 0.1699, decode.d6.loss_mask: 0.4256, decode.d6.loss_dice: 0.6507, decode.d7.loss_cls: 0.1683, decode.d7.loss_mask: 0.4247, decode.d7.loss_dice: 0.6489, decode.d8.loss_cls: 0.1664, decode.d8.loss_mask: 0.4241, decode.d8.loss_dice: 0.6505, loss: 13.6965, grad_norm: 46.7837 2023-11-12 16:24:23,625 - mmseg - INFO - Iter [127050/160000] lr: 2.059e-05, eta: 4:34:39, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1450, decode.loss_mask: 0.4159, decode.loss_dice: 0.6313, decode.d0.loss_cls: 1.1208, decode.d0.loss_mask: 0.4465, decode.d0.loss_dice: 0.6864, decode.d1.loss_cls: 0.2074, decode.d1.loss_mask: 0.4303, decode.d1.loss_dice: 0.6586, decode.d2.loss_cls: 0.1762, decode.d2.loss_mask: 0.4245, decode.d2.loss_dice: 0.6460, decode.d3.loss_cls: 0.1639, decode.d3.loss_mask: 0.4189, decode.d3.loss_dice: 0.6353, decode.d4.loss_cls: 0.1554, decode.d4.loss_mask: 0.4201, decode.d4.loss_dice: 0.6379, decode.d5.loss_cls: 0.1516, decode.d5.loss_mask: 0.4176, decode.d5.loss_dice: 0.6344, decode.d6.loss_cls: 0.1500, decode.d6.loss_mask: 0.4164, decode.d6.loss_dice: 0.6350, decode.d7.loss_cls: 0.1444, decode.d7.loss_mask: 0.4174, decode.d7.loss_dice: 0.6340, decode.d8.loss_cls: 0.1457, decode.d8.loss_mask: 0.4171, decode.d8.loss_dice: 0.6321, loss: 13.2163, grad_norm: 44.3598 2023-11-12 16:24:47,238 - mmseg - INFO - Iter [127100/160000] lr: 2.056e-05, eta: 4:34:14, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1576, decode.loss_mask: 0.4292, decode.loss_dice: 0.6453, decode.d0.loss_cls: 1.1070, decode.d0.loss_mask: 0.4632, decode.d0.loss_dice: 0.7051, decode.d1.loss_cls: 0.2089, decode.d1.loss_mask: 0.4399, decode.d1.loss_dice: 0.6756, decode.d2.loss_cls: 0.1821, decode.d2.loss_mask: 0.4351, decode.d2.loss_dice: 0.6616, decode.d3.loss_cls: 0.1744, decode.d3.loss_mask: 0.4314, decode.d3.loss_dice: 0.6492, decode.d4.loss_cls: 0.1697, decode.d4.loss_mask: 0.4307, decode.d4.loss_dice: 0.6516, decode.d5.loss_cls: 0.1644, decode.d5.loss_mask: 0.4301, decode.d5.loss_dice: 0.6485, decode.d6.loss_cls: 0.1655, decode.d6.loss_mask: 0.4296, decode.d6.loss_dice: 0.6447, decode.d7.loss_cls: 0.1603, decode.d7.loss_mask: 0.4304, decode.d7.loss_dice: 0.6442, decode.d8.loss_cls: 0.1598, decode.d8.loss_mask: 0.4292, decode.d8.loss_dice: 0.6423, loss: 13.5667, grad_norm: 47.9518 2023-11-12 16:25:10,998 - mmseg - INFO - Iter [127150/160000] lr: 2.053e-05, eta: 4:33:49, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1497, decode.loss_mask: 0.4190, decode.loss_dice: 0.6375, decode.d0.loss_cls: 1.0914, decode.d0.loss_mask: 0.4477, decode.d0.loss_dice: 0.6847, decode.d1.loss_cls: 0.2044, decode.d1.loss_mask: 0.4302, decode.d1.loss_dice: 0.6634, decode.d2.loss_cls: 0.1812, decode.d2.loss_mask: 0.4246, decode.d2.loss_dice: 0.6498, decode.d3.loss_cls: 0.1659, decode.d3.loss_mask: 0.4215, decode.d3.loss_dice: 0.6398, decode.d4.loss_cls: 0.1569, decode.d4.loss_mask: 0.4204, decode.d4.loss_dice: 0.6415, decode.d5.loss_cls: 0.1571, decode.d5.loss_mask: 0.4198, decode.d5.loss_dice: 0.6410, decode.d6.loss_cls: 0.1543, decode.d6.loss_mask: 0.4198, decode.d6.loss_dice: 0.6358, decode.d7.loss_cls: 0.1525, decode.d7.loss_mask: 0.4193, decode.d7.loss_dice: 0.6341, decode.d8.loss_cls: 0.1480, decode.d8.loss_mask: 0.4193, decode.d8.loss_dice: 0.6381, loss: 13.2686, grad_norm: 51.4812 2023-11-12 16:25:34,880 - mmseg - INFO - Iter [127200/160000] lr: 2.050e-05, eta: 4:33:23, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1398, decode.loss_mask: 0.4093, decode.loss_dice: 0.6276, decode.d0.loss_cls: 1.0995, decode.d0.loss_mask: 0.4437, decode.d0.loss_dice: 0.6810, decode.d1.loss_cls: 0.2012, decode.d1.loss_mask: 0.4222, decode.d1.loss_dice: 0.6524, decode.d2.loss_cls: 0.1742, decode.d2.loss_mask: 0.4144, decode.d2.loss_dice: 0.6413, decode.d3.loss_cls: 0.1569, decode.d3.loss_mask: 0.4131, decode.d3.loss_dice: 0.6315, decode.d4.loss_cls: 0.1512, decode.d4.loss_mask: 0.4110, decode.d4.loss_dice: 0.6293, decode.d5.loss_cls: 0.1475, decode.d5.loss_mask: 0.4112, decode.d5.loss_dice: 0.6275, decode.d6.loss_cls: 0.1440, decode.d6.loss_mask: 0.4109, decode.d6.loss_dice: 0.6263, decode.d7.loss_cls: 0.1469, decode.d7.loss_mask: 0.4095, decode.d7.loss_dice: 0.6273, decode.d8.loss_cls: 0.1414, decode.d8.loss_mask: 0.4098, decode.d8.loss_dice: 0.6305, loss: 13.0325, grad_norm: 44.8711 2023-11-12 16:25:58,603 - mmseg - INFO - Iter [127250/160000] lr: 2.047e-05, eta: 4:32:58, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1464, decode.loss_mask: 0.4125, decode.loss_dice: 0.6398, decode.d0.loss_cls: 1.1054, decode.d0.loss_mask: 0.4476, decode.d0.loss_dice: 0.6962, decode.d1.loss_cls: 0.2131, decode.d1.loss_mask: 0.4257, decode.d1.loss_dice: 0.6675, decode.d2.loss_cls: 0.1821, decode.d2.loss_mask: 0.4202, decode.d2.loss_dice: 0.6516, decode.d3.loss_cls: 0.1666, decode.d3.loss_mask: 0.4169, decode.d3.loss_dice: 0.6433, decode.d4.loss_cls: 0.1637, decode.d4.loss_mask: 0.4142, decode.d4.loss_dice: 0.6382, decode.d5.loss_cls: 0.1575, decode.d5.loss_mask: 0.4142, decode.d5.loss_dice: 0.6423, decode.d6.loss_cls: 0.1576, decode.d6.loss_mask: 0.4139, decode.d6.loss_dice: 0.6356, decode.d7.loss_cls: 0.1535, decode.d7.loss_mask: 0.4131, decode.d7.loss_dice: 0.6360, decode.d8.loss_cls: 0.1526, decode.d8.loss_mask: 0.4128, decode.d8.loss_dice: 0.6387, loss: 13.2788, grad_norm: 45.6315 2023-11-12 16:26:22,420 - mmseg - INFO - Iter [127300/160000] lr: 2.044e-05, eta: 4:32:33, time: 0.476, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1657, decode.loss_mask: 0.4018, decode.loss_dice: 0.6354, decode.d0.loss_cls: 1.1200, decode.d0.loss_mask: 0.4351, decode.d0.loss_dice: 0.7003, decode.d1.loss_cls: 0.2230, decode.d1.loss_mask: 0.4167, decode.d1.loss_dice: 0.6700, decode.d2.loss_cls: 0.1955, decode.d2.loss_mask: 0.4071, decode.d2.loss_dice: 0.6579, decode.d3.loss_cls: 0.1866, decode.d3.loss_mask: 0.4044, decode.d3.loss_dice: 0.6455, decode.d4.loss_cls: 0.1783, decode.d4.loss_mask: 0.4043, decode.d4.loss_dice: 0.6465, decode.d5.loss_cls: 0.1767, decode.d5.loss_mask: 0.4041, decode.d5.loss_dice: 0.6437, decode.d6.loss_cls: 0.1748, decode.d6.loss_mask: 0.4022, decode.d6.loss_dice: 0.6374, decode.d7.loss_cls: 0.1721, decode.d7.loss_mask: 0.4033, decode.d7.loss_dice: 0.6389, decode.d8.loss_cls: 0.1714, decode.d8.loss_mask: 0.4033, decode.d8.loss_dice: 0.6401, loss: 13.3622, grad_norm: 44.2492 2023-11-12 16:26:46,247 - mmseg - INFO - Iter [127350/160000] lr: 2.041e-05, eta: 4:32:07, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1468, decode.loss_mask: 0.4155, decode.loss_dice: 0.6121, decode.d0.loss_cls: 1.0945, decode.d0.loss_mask: 0.4494, decode.d0.loss_dice: 0.6640, decode.d1.loss_cls: 0.2062, decode.d1.loss_mask: 0.4306, decode.d1.loss_dice: 0.6400, decode.d2.loss_cls: 0.1699, decode.d2.loss_mask: 0.4224, decode.d2.loss_dice: 0.6269, decode.d3.loss_cls: 0.1609, decode.d3.loss_mask: 0.4194, decode.d3.loss_dice: 0.6187, decode.d4.loss_cls: 0.1518, decode.d4.loss_mask: 0.4175, decode.d4.loss_dice: 0.6229, decode.d5.loss_cls: 0.1510, decode.d5.loss_mask: 0.4174, decode.d5.loss_dice: 0.6199, decode.d6.loss_cls: 0.1499, decode.d6.loss_mask: 0.4155, decode.d6.loss_dice: 0.6127, decode.d7.loss_cls: 0.1468, decode.d7.loss_mask: 0.4165, decode.d7.loss_dice: 0.6155, decode.d8.loss_cls: 0.1476, decode.d8.loss_mask: 0.4167, decode.d8.loss_dice: 0.6121, loss: 12.9908, grad_norm: 45.4543 2023-11-12 16:27:09,962 - mmseg - INFO - Iter [127400/160000] lr: 2.038e-05, eta: 4:31:42, time: 0.476, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1546, decode.loss_mask: 0.4223, decode.loss_dice: 0.6501, decode.d0.loss_cls: 1.1171, decode.d0.loss_mask: 0.4524, decode.d0.loss_dice: 0.7040, decode.d1.loss_cls: 0.2139, decode.d1.loss_mask: 0.4371, decode.d1.loss_dice: 0.6821, decode.d2.loss_cls: 0.1882, decode.d2.loss_mask: 0.4295, decode.d2.loss_dice: 0.6679, decode.d3.loss_cls: 0.1753, decode.d3.loss_mask: 0.4263, decode.d3.loss_dice: 0.6544, decode.d4.loss_cls: 0.1710, decode.d4.loss_mask: 0.4237, decode.d4.loss_dice: 0.6560, decode.d5.loss_cls: 0.1655, decode.d5.loss_mask: 0.4234, decode.d5.loss_dice: 0.6541, decode.d6.loss_cls: 0.1629, decode.d6.loss_mask: 0.4221, decode.d6.loss_dice: 0.6508, decode.d7.loss_cls: 0.1580, decode.d7.loss_mask: 0.4228, decode.d7.loss_dice: 0.6514, decode.d8.loss_cls: 0.1584, decode.d8.loss_mask: 0.4227, decode.d8.loss_dice: 0.6507, loss: 13.5686, grad_norm: 47.6055 2023-11-12 16:27:33,549 - mmseg - INFO - Iter [127450/160000] lr: 2.034e-05, eta: 4:31:17, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1624, decode.loss_mask: 0.4329, decode.loss_dice: 0.6476, decode.d0.loss_cls: 1.1216, decode.d0.loss_mask: 0.4687, decode.d0.loss_dice: 0.7009, decode.d1.loss_cls: 0.2206, decode.d1.loss_mask: 0.4471, decode.d1.loss_dice: 0.6791, decode.d2.loss_cls: 0.1908, decode.d2.loss_mask: 0.4390, decode.d2.loss_dice: 0.6618, decode.d3.loss_cls: 0.1782, decode.d3.loss_mask: 0.4368, decode.d3.loss_dice: 0.6530, decode.d4.loss_cls: 0.1742, decode.d4.loss_mask: 0.4349, decode.d4.loss_dice: 0.6574, decode.d5.loss_cls: 0.1677, decode.d5.loss_mask: 0.4348, decode.d5.loss_dice: 0.6509, decode.d6.loss_cls: 0.1631, decode.d6.loss_mask: 0.4330, decode.d6.loss_dice: 0.6485, decode.d7.loss_cls: 0.1656, decode.d7.loss_mask: 0.4316, decode.d7.loss_dice: 0.6417, decode.d8.loss_cls: 0.1650, decode.d8.loss_mask: 0.4319, decode.d8.loss_dice: 0.6460, loss: 13.6868, grad_norm: 45.0051 2023-11-12 16:27:57,137 - mmseg - INFO - Iter [127500/160000] lr: 2.031e-05, eta: 4:30:51, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1510, decode.loss_mask: 0.4036, decode.loss_dice: 0.6337, decode.d0.loss_cls: 1.1334, decode.d0.loss_mask: 0.4357, decode.d0.loss_dice: 0.6765, decode.d1.loss_cls: 0.2147, decode.d1.loss_mask: 0.4140, decode.d1.loss_dice: 0.6563, decode.d2.loss_cls: 0.1860, decode.d2.loss_mask: 0.4089, decode.d2.loss_dice: 0.6435, decode.d3.loss_cls: 0.1729, decode.d3.loss_mask: 0.4057, decode.d3.loss_dice: 0.6322, decode.d4.loss_cls: 0.1686, decode.d4.loss_mask: 0.4055, decode.d4.loss_dice: 0.6281, decode.d5.loss_cls: 0.1608, decode.d5.loss_mask: 0.4044, decode.d5.loss_dice: 0.6323, decode.d6.loss_cls: 0.1606, decode.d6.loss_mask: 0.4036, decode.d6.loss_dice: 0.6279, decode.d7.loss_cls: 0.1503, decode.d7.loss_mask: 0.4042, decode.d7.loss_dice: 0.6321, decode.d8.loss_cls: 0.1491, decode.d8.loss_mask: 0.4033, decode.d8.loss_dice: 0.6331, loss: 13.1322, grad_norm: 45.2410 2023-11-12 16:28:20,655 - mmseg - INFO - Iter [127550/160000] lr: 2.028e-05, eta: 4:30:26, time: 0.470, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1437, decode.loss_mask: 0.4295, decode.loss_dice: 0.6269, decode.d0.loss_cls: 1.0820, decode.d0.loss_mask: 0.4627, decode.d0.loss_dice: 0.6742, decode.d1.loss_cls: 0.1983, decode.d1.loss_mask: 0.4417, decode.d1.loss_dice: 0.6467, decode.d2.loss_cls: 0.1703, decode.d2.loss_mask: 0.4376, decode.d2.loss_dice: 0.6343, decode.d3.loss_cls: 0.1623, decode.d3.loss_mask: 0.4321, decode.d3.loss_dice: 0.6272, decode.d4.loss_cls: 0.1534, decode.d4.loss_mask: 0.4315, decode.d4.loss_dice: 0.6282, decode.d5.loss_cls: 0.1465, decode.d5.loss_mask: 0.4314, decode.d5.loss_dice: 0.6289, decode.d6.loss_cls: 0.1443, decode.d6.loss_mask: 0.4315, decode.d6.loss_dice: 0.6271, decode.d7.loss_cls: 0.1475, decode.d7.loss_mask: 0.4317, decode.d7.loss_dice: 0.6269, decode.d8.loss_cls: 0.1469, decode.d8.loss_mask: 0.4292, decode.d8.loss_dice: 0.6243, loss: 13.1988, grad_norm: 49.3759 2023-11-12 16:28:46,803 - mmseg - INFO - Iter [127600/160000] lr: 2.025e-05, eta: 4:30:01, time: 0.523, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1547, decode.loss_mask: 0.4184, decode.loss_dice: 0.6285, decode.d0.loss_cls: 1.1403, decode.d0.loss_mask: 0.4462, decode.d0.loss_dice: 0.6802, decode.d1.loss_cls: 0.2183, decode.d1.loss_mask: 0.4291, decode.d1.loss_dice: 0.6555, decode.d2.loss_cls: 0.1841, decode.d2.loss_mask: 0.4242, decode.d2.loss_dice: 0.6447, decode.d3.loss_cls: 0.1731, decode.d3.loss_mask: 0.4200, decode.d3.loss_dice: 0.6286, decode.d4.loss_cls: 0.1686, decode.d4.loss_mask: 0.4203, decode.d4.loss_dice: 0.6362, decode.d5.loss_cls: 0.1636, decode.d5.loss_mask: 0.4199, decode.d5.loss_dice: 0.6312, decode.d6.loss_cls: 0.1621, decode.d6.loss_mask: 0.4186, decode.d6.loss_dice: 0.6290, decode.d7.loss_cls: 0.1593, decode.d7.loss_mask: 0.4171, decode.d7.loss_dice: 0.6303, decode.d8.loss_cls: 0.1567, decode.d8.loss_mask: 0.4176, decode.d8.loss_dice: 0.6297, loss: 13.3061, grad_norm: 44.7407 2023-11-12 16:29:10,472 - mmseg - INFO - Iter [127650/160000] lr: 2.022e-05, eta: 4:29:36, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1442, decode.loss_mask: 0.4190, decode.loss_dice: 0.6181, decode.d0.loss_cls: 1.0728, decode.d0.loss_mask: 0.4461, decode.d0.loss_dice: 0.6696, decode.d1.loss_cls: 0.1851, decode.d1.loss_mask: 0.4329, decode.d1.loss_dice: 0.6429, decode.d2.loss_cls: 0.1663, decode.d2.loss_mask: 0.4249, decode.d2.loss_dice: 0.6330, decode.d3.loss_cls: 0.1511, decode.d3.loss_mask: 0.4214, decode.d3.loss_dice: 0.6226, decode.d4.loss_cls: 0.1450, decode.d4.loss_mask: 0.4197, decode.d4.loss_dice: 0.6218, decode.d5.loss_cls: 0.1417, decode.d5.loss_mask: 0.4198, decode.d5.loss_dice: 0.6210, decode.d6.loss_cls: 0.1433, decode.d6.loss_mask: 0.4195, decode.d6.loss_dice: 0.6210, decode.d7.loss_cls: 0.1425, decode.d7.loss_mask: 0.4194, decode.d7.loss_dice: 0.6166, decode.d8.loss_cls: 0.1468, decode.d8.loss_mask: 0.4178, decode.d8.loss_dice: 0.6179, loss: 12.9637, grad_norm: 52.7865 2023-11-12 16:29:34,243 - mmseg - INFO - Iter [127700/160000] lr: 2.019e-05, eta: 4:29:11, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1538, decode.loss_mask: 0.4165, decode.loss_dice: 0.6333, decode.d0.loss_cls: 1.1063, decode.d0.loss_mask: 0.4457, decode.d0.loss_dice: 0.6892, decode.d1.loss_cls: 0.2071, decode.d1.loss_mask: 0.4266, decode.d1.loss_dice: 0.6561, decode.d2.loss_cls: 0.1881, decode.d2.loss_mask: 0.4202, decode.d2.loss_dice: 0.6421, decode.d3.loss_cls: 0.1701, decode.d3.loss_mask: 0.4180, decode.d3.loss_dice: 0.6367, decode.d4.loss_cls: 0.1674, decode.d4.loss_mask: 0.4172, decode.d4.loss_dice: 0.6365, decode.d5.loss_cls: 0.1586, decode.d5.loss_mask: 0.4162, decode.d5.loss_dice: 0.6360, decode.d6.loss_cls: 0.1575, decode.d6.loss_mask: 0.4151, decode.d6.loss_dice: 0.6330, decode.d7.loss_cls: 0.1548, decode.d7.loss_mask: 0.4158, decode.d7.loss_dice: 0.6340, decode.d8.loss_cls: 0.1534, decode.d8.loss_mask: 0.4160, decode.d8.loss_dice: 0.6338, loss: 13.2550, grad_norm: 43.7819 2023-11-12 16:29:57,899 - mmseg - INFO - Iter [127750/160000] lr: 2.016e-05, eta: 4:28:45, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1495, decode.loss_mask: 0.4190, decode.loss_dice: 0.6247, decode.d0.loss_cls: 1.1046, decode.d0.loss_mask: 0.4530, decode.d0.loss_dice: 0.6838, decode.d1.loss_cls: 0.2164, decode.d1.loss_mask: 0.4357, decode.d1.loss_dice: 0.6575, decode.d2.loss_cls: 0.1827, decode.d2.loss_mask: 0.4230, decode.d2.loss_dice: 0.6386, decode.d3.loss_cls: 0.1668, decode.d3.loss_mask: 0.4198, decode.d3.loss_dice: 0.6341, decode.d4.loss_cls: 0.1578, decode.d4.loss_mask: 0.4195, decode.d4.loss_dice: 0.6325, decode.d5.loss_cls: 0.1599, decode.d5.loss_mask: 0.4188, decode.d5.loss_dice: 0.6278, decode.d6.loss_cls: 0.1516, decode.d6.loss_mask: 0.4186, decode.d6.loss_dice: 0.6317, decode.d7.loss_cls: 0.1536, decode.d7.loss_mask: 0.4186, decode.d7.loss_dice: 0.6251, decode.d8.loss_cls: 0.1481, decode.d8.loss_mask: 0.4189, decode.d8.loss_dice: 0.6274, loss: 13.2192, grad_norm: 49.5052 2023-11-12 16:30:21,906 - mmseg - INFO - Iter [127800/160000] lr: 2.013e-05, eta: 4:28:20, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1349, decode.loss_mask: 0.4036, decode.loss_dice: 0.6138, decode.d0.loss_cls: 1.1101, decode.d0.loss_mask: 0.4352, decode.d0.loss_dice: 0.6642, decode.d1.loss_cls: 0.2045, decode.d1.loss_mask: 0.4149, decode.d1.loss_dice: 0.6413, decode.d2.loss_cls: 0.1721, decode.d2.loss_mask: 0.4092, decode.d2.loss_dice: 0.6250, decode.d3.loss_cls: 0.1581, decode.d3.loss_mask: 0.4060, decode.d3.loss_dice: 0.6179, decode.d4.loss_cls: 0.1468, decode.d4.loss_mask: 0.4045, decode.d4.loss_dice: 0.6143, decode.d5.loss_cls: 0.1444, decode.d5.loss_mask: 0.4035, decode.d5.loss_dice: 0.6162, decode.d6.loss_cls: 0.1408, decode.d6.loss_mask: 0.4041, decode.d6.loss_dice: 0.6140, decode.d7.loss_cls: 0.1385, decode.d7.loss_mask: 0.4037, decode.d7.loss_dice: 0.6099, decode.d8.loss_cls: 0.1396, decode.d8.loss_mask: 0.4035, decode.d8.loss_dice: 0.6113, loss: 12.8058, grad_norm: 43.6363 2023-11-12 16:30:45,570 - mmseg - INFO - Iter [127850/160000] lr: 2.009e-05, eta: 4:27:55, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1481, decode.loss_mask: 0.4084, decode.loss_dice: 0.6159, decode.d0.loss_cls: 1.1127, decode.d0.loss_mask: 0.4421, decode.d0.loss_dice: 0.6715, decode.d1.loss_cls: 0.2044, decode.d1.loss_mask: 0.4217, decode.d1.loss_dice: 0.6463, decode.d2.loss_cls: 0.1750, decode.d2.loss_mask: 0.4141, decode.d2.loss_dice: 0.6371, decode.d3.loss_cls: 0.1666, decode.d3.loss_mask: 0.4111, decode.d3.loss_dice: 0.6237, decode.d4.loss_cls: 0.1567, decode.d4.loss_mask: 0.4084, decode.d4.loss_dice: 0.6220, decode.d5.loss_cls: 0.1546, decode.d5.loss_mask: 0.4100, decode.d5.loss_dice: 0.6229, decode.d6.loss_cls: 0.1559, decode.d6.loss_mask: 0.4076, decode.d6.loss_dice: 0.6197, decode.d7.loss_cls: 0.1524, decode.d7.loss_mask: 0.4086, decode.d7.loss_dice: 0.6195, decode.d8.loss_cls: 0.1491, decode.d8.loss_mask: 0.4083, decode.d8.loss_dice: 0.6197, loss: 13.0140, grad_norm: 45.9683 2023-11-12 16:31:09,398 - mmseg - INFO - Iter [127900/160000] lr: 2.006e-05, eta: 4:27:29, time: 0.477, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1359, decode.loss_mask: 0.4317, decode.loss_dice: 0.6457, decode.d0.loss_cls: 1.0805, decode.d0.loss_mask: 0.4583, decode.d0.loss_dice: 0.6912, decode.d1.loss_cls: 0.1901, decode.d1.loss_mask: 0.4405, decode.d1.loss_dice: 0.6727, decode.d2.loss_cls: 0.1644, decode.d2.loss_mask: 0.4377, decode.d2.loss_dice: 0.6590, decode.d3.loss_cls: 0.1520, decode.d3.loss_mask: 0.4341, decode.d3.loss_dice: 0.6466, decode.d4.loss_cls: 0.1457, decode.d4.loss_mask: 0.4327, decode.d4.loss_dice: 0.6478, decode.d5.loss_cls: 0.1429, decode.d5.loss_mask: 0.4320, decode.d5.loss_dice: 0.6423, decode.d6.loss_cls: 0.1377, decode.d6.loss_mask: 0.4311, decode.d6.loss_dice: 0.6434, decode.d7.loss_cls: 0.1330, decode.d7.loss_mask: 0.4327, decode.d7.loss_dice: 0.6440, decode.d8.loss_cls: 0.1350, decode.d8.loss_mask: 0.4326, decode.d8.loss_dice: 0.6423, loss: 13.3154, grad_norm: 45.2121 2023-11-12 16:31:33,031 - mmseg - INFO - Iter [127950/160000] lr: 2.003e-05, eta: 4:27:04, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1499, decode.loss_mask: 0.4247, decode.loss_dice: 0.6323, decode.d0.loss_cls: 1.0934, decode.d0.loss_mask: 0.4575, decode.d0.loss_dice: 0.6883, decode.d1.loss_cls: 0.2075, decode.d1.loss_mask: 0.4364, decode.d1.loss_dice: 0.6555, decode.d2.loss_cls: 0.1730, decode.d2.loss_mask: 0.4322, decode.d2.loss_dice: 0.6451, decode.d3.loss_cls: 0.1704, decode.d3.loss_mask: 0.4297, decode.d3.loss_dice: 0.6344, decode.d4.loss_cls: 0.1623, decode.d4.loss_mask: 0.4273, decode.d4.loss_dice: 0.6327, decode.d5.loss_cls: 0.1561, decode.d5.loss_mask: 0.4277, decode.d5.loss_dice: 0.6323, decode.d6.loss_cls: 0.1490, decode.d6.loss_mask: 0.4272, decode.d6.loss_dice: 0.6328, decode.d7.loss_cls: 0.1508, decode.d7.loss_mask: 0.4256, decode.d7.loss_dice: 0.6306, decode.d8.loss_cls: 0.1456, decode.d8.loss_mask: 0.4263, decode.d8.loss_dice: 0.6314, loss: 13.2880, grad_norm: 48.3627 2023-11-12 16:31:56,626 - mmseg - INFO - Saving checkpoint at 128000 iterations 2023-11-12 16:32:00,243 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 16:32:00,244 - mmseg - INFO - Iter [128000/160000] lr: 2.000e-05, eta: 4:26:40, time: 0.544, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1542, decode.loss_mask: 0.4160, decode.loss_dice: 0.6364, decode.d0.loss_cls: 1.1241, decode.d0.loss_mask: 0.4503, decode.d0.loss_dice: 0.6844, decode.d1.loss_cls: 0.2051, decode.d1.loss_mask: 0.4305, decode.d1.loss_dice: 0.6676, decode.d2.loss_cls: 0.1765, decode.d2.loss_mask: 0.4231, decode.d2.loss_dice: 0.6556, decode.d3.loss_cls: 0.1700, decode.d3.loss_mask: 0.4199, decode.d3.loss_dice: 0.6361, decode.d4.loss_cls: 0.1653, decode.d4.loss_mask: 0.4179, decode.d4.loss_dice: 0.6410, decode.d5.loss_cls: 0.1601, decode.d5.loss_mask: 0.4183, decode.d5.loss_dice: 0.6353, decode.d6.loss_cls: 0.1557, decode.d6.loss_mask: 0.4166, decode.d6.loss_dice: 0.6376, decode.d7.loss_cls: 0.1536, decode.d7.loss_mask: 0.4160, decode.d7.loss_dice: 0.6384, decode.d8.loss_cls: 0.1497, decode.d8.loss_mask: 0.4169, decode.d8.loss_dice: 0.6414, loss: 13.3138, grad_norm: 46.0698 2023-11-12 16:32:19,525 - mmseg - INFO - per class results: 2023-11-12 16:32:19,530 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.94 | 88.18 | | building | 81.92 | 91.83 | | sky | 94.57 | 97.04 | | floor | 82.98 | 91.33 | | tree | 75.15 | 87.37 | | ceiling | 84.18 | 90.64 | | road | 85.02 | 91.67 | | bed | 90.68 | 95.78 | | windowpane | 64.68 | 79.99 | | grass | 67.53 | 80.26 | | cabinet | 63.31 | 75.88 | | sidewalk | 69.81 | 79.23 | | person | 84.63 | 92.9 | | earth | 42.57 | 62.65 | | door | 51.44 | 66.36 | | table | 67.12 | 80.58 | | mountain | 62.85 | 76.03 | | plant | 53.43 | 67.4 | | curtain | 78.56 | 88.18 | | chair | 63.86 | 76.16 | | car | 84.83 | 92.8 | | water | 60.46 | 77.98 | | painting | 77.57 | 89.19 | | sofa | 69.95 | 81.72 | | shelf | 37.4 | 48.49 | | house | 32.15 | 50.78 | | sea | 72.0 | 90.33 | | mirror | 75.17 | 82.9 | | rug | 64.15 | 76.18 | | field | 33.04 | 48.86 | | armchair | 50.5 | 71.07 | | seat | 56.41 | 81.72 | | fence | 51.52 | 69.57 | | desk | 55.79 | 74.02 | | rock | 50.01 | 78.68 | | wardrobe | 44.15 | 61.27 | | lamp | 71.21 | 82.78 | | bathtub | 74.81 | 83.15 | | railing | 37.6 | 55.44 | | cushion | 63.08 | 74.72 | | base | 37.47 | 67.41 | | box | 30.6 | 40.32 | | column | 39.66 | 47.91 | | signboard | 37.21 | 53.1 | | chest of drawers | 39.05 | 57.72 | | counter | 30.41 | 43.17 | | sand | 33.93 | 45.68 | | sink | 78.89 | 84.27 | | skyscraper | 36.38 | 41.99 | | fireplace | 79.05 | 92.34 | | refrigerator | 79.61 | 84.17 | | grandstand | 35.51 | 65.37 | | path | 26.29 | 47.15 | | stairs | 31.6 | 43.37 | | runway | 78.02 | 91.62 | | case | 61.6 | 82.33 | | pool table | 95.11 | 97.68 | | pillow | 62.6 | 78.46 | | screen door | 60.55 | 67.86 | | stairway | 34.01 | 42.06 | | river | 12.65 | 18.22 | | bridge | 79.43 | 88.42 | | bookcase | 35.08 | 60.82 | | blind | 46.24 | 52.53 | | coffee table | 66.1 | 84.39 | | toilet | 89.05 | 92.04 | | flower | 45.99 | 66.22 | | book | 50.95 | 71.32 | | hill | 5.58 | 10.79 | | bench | 44.91 | 50.18 | | countertop | 63.48 | 78.54 | | stove | 83.71 | 88.73 | | palm | 57.58 | 76.09 | | kitchen island | 59.46 | 79.45 | | computer | 71.67 | 77.66 | | swivel chair | 42.08 | 62.44 | | boat | 75.46 | 82.23 | | bar | 31.68 | 39.27 | | arcade machine | 83.16 | 89.35 | | hovel | 29.38 | 46.04 | | bus | 93.94 | 96.55 | | towel | 72.15 | 80.65 | | light | 62.68 | 75.72 | | truck | 36.33 | 57.2 | | tower | 35.86 | 64.06 | | chandelier | 70.27 | 86.44 | | awning | 35.09 | 45.96 | | streetlight | 42.12 | 61.6 | | booth | 22.45 | 43.95 | | television receiver | 72.4 | 83.09 | | airplane | 67.11 | 74.45 | | dirt track | 19.17 | 54.92 | | apparel | 30.11 | 49.36 | | pole | 31.12 | 45.52 | | land | 6.38 | 8.11 | | bannister | 23.64 | 32.12 | | escalator | 22.28 | 23.59 | | ottoman | 55.76 | 71.69 | | bottle | 39.97 | 69.83 | | buffet | 38.98 | 54.86 | | poster | 23.45 | 36.35 | | stage | 18.96 | 30.09 | | van | 47.76 | 62.85 | | ship | 10.84 | 11.9 | | fountain | 26.31 | 26.98 | | conveyer belt | 68.97 | 94.39 | | canopy | 30.55 | 47.02 | | washer | 70.88 | 73.72 | | plaything | 36.8 | 64.41 | | swimming pool | 39.61 | 42.97 | | stool | 42.99 | 67.44 | | barrel | 75.66 | 97.13 | | basket | 35.4 | 44.66 | | waterfall | 64.43 | 91.19 | | tent | 94.21 | 98.04 | | bag | 16.37 | 20.65 | | minibike | 76.84 | 91.47 | | cradle | 86.07 | 97.62 | | oven | 56.74 | 67.8 | | ball | 37.45 | 45.56 | | food | 64.24 | 79.13 | | step | 19.92 | 26.96 | | tank | 58.88 | 65.93 | | trade name | 31.43 | 40.64 | | microwave | 84.7 | 93.47 | | pot | 50.43 | 58.52 | | animal | 54.78 | 56.2 | | bicycle | 55.39 | 74.82 | | lake | 63.03 | 63.6 | | dishwasher | 78.77 | 84.6 | | screen | 59.71 | 87.0 | | blanket | 25.22 | 31.38 | | sculpture | 72.14 | 85.91 | | hood | 70.09 | 75.88 | | sconce | 54.06 | 70.68 | | vase | 51.11 | 63.43 | | traffic light | 40.5 | 62.91 | | tray | 16.69 | 26.64 | | ashcan | 52.89 | 69.75 | | fan | 71.58 | 85.49 | | pier | 33.06 | 44.7 | | crt screen | 6.07 | 8.61 | | plate | 61.33 | 74.2 | | monitor | 57.01 | 79.76 | | bulletin board | 57.38 | 79.32 | | shower | 2.23 | 23.93 | | radiator | 75.17 | 88.15 | | glass | 20.47 | 21.97 | | clock | 57.16 | 68.93 | | flag | 35.04 | 41.03 | +---------------------+-------+-------+ 2023-11-12 16:32:19,530 - mmseg - INFO - Summary: 2023-11-12 16:32:19,530 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 84.12 | 53.37 | 66.3 | +-------+-------+------+ 2023-11-12 16:32:19,547 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/lizhiqi/DINO/segmentation/work_dirs/mask2former_flash_internimage_b_640_160k_ade20k_ss_2000/best_mIoU_iter_76000.pth was removed 2023-11-12 16:32:22,711 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_128000.pth. 2023-11-12 16:32:22,712 - mmseg - INFO - Best mIoU is 0.5337 at 128000 iter. 2023-11-12 16:32:22,712 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 16:32:22,712 - mmseg - INFO - Iter(val) [250] aAcc: 0.8412, mIoU: 0.5337, mAcc: 0.6630, IoU.wall: 0.7894, IoU.building: 0.8192, IoU.sky: 0.9457, IoU.floor: 0.8298, IoU.tree: 0.7515, IoU.ceiling: 0.8418, IoU.road: 0.8502, IoU.bed : 0.9068, IoU.windowpane: 0.6468, IoU.grass: 0.6753, IoU.cabinet: 0.6331, IoU.sidewalk: 0.6981, IoU.person: 0.8463, IoU.earth: 0.4257, IoU.door: 0.5144, IoU.table: 0.6712, IoU.mountain: 0.6285, IoU.plant: 0.5343, IoU.curtain: 0.7856, IoU.chair: 0.6386, IoU.car: 0.8483, IoU.water: 0.6046, IoU.painting: 0.7757, IoU.sofa: 0.6995, IoU.shelf: 0.3740, IoU.house: 0.3215, IoU.sea: 0.7200, IoU.mirror: 0.7517, IoU.rug: 0.6415, IoU.field: 0.3304, IoU.armchair: 0.5050, IoU.seat: 0.5641, IoU.fence: 0.5152, IoU.desk: 0.5579, IoU.rock: 0.5001, IoU.wardrobe: 0.4415, IoU.lamp: 0.7121, IoU.bathtub: 0.7481, IoU.railing: 0.3760, IoU.cushion: 0.6308, IoU.base: 0.3747, IoU.box: 0.3060, IoU.column: 0.3966, IoU.signboard: 0.3721, IoU.chest of drawers: 0.3905, IoU.counter: 0.3041, IoU.sand: 0.3393, IoU.sink: 0.7889, IoU.skyscraper: 0.3638, IoU.fireplace: 0.7905, IoU.refrigerator: 0.7961, IoU.grandstand: 0.3551, IoU.path: 0.2629, IoU.stairs: 0.3160, IoU.runway: 0.7802, IoU.case: 0.6160, IoU.pool table: 0.9511, IoU.pillow: 0.6260, IoU.screen door: 0.6055, IoU.stairway: 0.3401, IoU.river: 0.1265, IoU.bridge: 0.7943, IoU.bookcase: 0.3508, IoU.blind: 0.4624, IoU.coffee table: 0.6610, IoU.toilet: 0.8905, IoU.flower: 0.4599, IoU.book: 0.5095, IoU.hill: 0.0558, IoU.bench: 0.4491, IoU.countertop: 0.6348, IoU.stove: 0.8371, IoU.palm: 0.5758, IoU.kitchen island: 0.5946, IoU.computer: 0.7167, IoU.swivel chair: 0.4208, IoU.boat: 0.7546, IoU.bar: 0.3168, IoU.arcade machine: 0.8316, IoU.hovel: 0.2938, IoU.bus: 0.9394, IoU.towel: 0.7215, IoU.light: 0.6268, IoU.truck: 0.3633, IoU.tower: 0.3586, IoU.chandelier: 0.7027, IoU.awning: 0.3509, IoU.streetlight: 0.4212, IoU.booth: 0.2245, IoU.television receiver: 0.7240, IoU.airplane: 0.6711, IoU.dirt track: 0.1917, IoU.apparel: 0.3011, IoU.pole: 0.3112, IoU.land: 0.0638, IoU.bannister: 0.2364, IoU.escalator: 0.2228, IoU.ottoman: 0.5576, IoU.bottle: 0.3997, IoU.buffet: 0.3898, IoU.poster: 0.2345, IoU.stage: 0.1896, IoU.van: 0.4776, IoU.ship: 0.1084, IoU.fountain: 0.2631, IoU.conveyer belt: 0.6897, IoU.canopy: 0.3055, IoU.washer: 0.7088, IoU.plaything: 0.3680, IoU.swimming pool: 0.3961, IoU.stool: 0.4299, IoU.barrel: 0.7566, IoU.basket: 0.3540, IoU.waterfall: 0.6443, IoU.tent: 0.9421, IoU.bag: 0.1637, IoU.minibike: 0.7684, IoU.cradle: 0.8607, IoU.oven: 0.5674, IoU.ball: 0.3745, IoU.food: 0.6424, IoU.step: 0.1992, IoU.tank: 0.5888, IoU.trade name: 0.3143, IoU.microwave: 0.8470, IoU.pot: 0.5043, IoU.animal: 0.5478, IoU.bicycle: 0.5539, IoU.lake: 0.6303, IoU.dishwasher: 0.7877, IoU.screen: 0.5971, IoU.blanket: 0.2522, IoU.sculpture: 0.7214, IoU.hood: 0.7009, IoU.sconce: 0.5406, IoU.vase: 0.5111, IoU.traffic light: 0.4050, IoU.tray: 0.1669, IoU.ashcan: 0.5289, IoU.fan: 0.7158, IoU.pier: 0.3306, IoU.crt screen: 0.0607, IoU.plate: 0.6133, IoU.monitor: 0.5701, IoU.bulletin board: 0.5738, IoU.shower: 0.0223, IoU.radiator: 0.7517, IoU.glass: 0.2047, IoU.clock: 0.5716, IoU.flag: 0.3504, Acc.wall: 0.8818, Acc.building: 0.9183, Acc.sky: 0.9704, Acc.floor: 0.9133, Acc.tree: 0.8737, Acc.ceiling: 0.9064, Acc.road: 0.9167, Acc.bed : 0.9578, Acc.windowpane: 0.7999, Acc.grass: 0.8026, Acc.cabinet: 0.7588, Acc.sidewalk: 0.7923, Acc.person: 0.9290, Acc.earth: 0.6265, Acc.door: 0.6636, Acc.table: 0.8058, Acc.mountain: 0.7603, Acc.plant: 0.6740, Acc.curtain: 0.8818, Acc.chair: 0.7616, Acc.car: 0.9280, Acc.water: 0.7798, Acc.painting: 0.8919, Acc.sofa: 0.8172, Acc.shelf: 0.4849, Acc.house: 0.5078, Acc.sea: 0.9033, Acc.mirror: 0.8290, Acc.rug: 0.7618, Acc.field: 0.4886, Acc.armchair: 0.7107, Acc.seat: 0.8172, Acc.fence: 0.6957, Acc.desk: 0.7402, Acc.rock: 0.7868, Acc.wardrobe: 0.6127, Acc.lamp: 0.8278, Acc.bathtub: 0.8315, Acc.railing: 0.5544, Acc.cushion: 0.7472, Acc.base: 0.6741, Acc.box: 0.4032, Acc.column: 0.4791, Acc.signboard: 0.5310, Acc.chest of drawers: 0.5772, Acc.counter: 0.4317, Acc.sand: 0.4568, Acc.sink: 0.8427, Acc.skyscraper: 0.4199, Acc.fireplace: 0.9234, Acc.refrigerator: 0.8417, Acc.grandstand: 0.6537, Acc.path: 0.4715, Acc.stairs: 0.4337, Acc.runway: 0.9162, Acc.case: 0.8233, Acc.pool table: 0.9768, Acc.pillow: 0.7846, Acc.screen door: 0.6786, Acc.stairway: 0.4206, Acc.river: 0.1822, Acc.bridge: 0.8842, Acc.bookcase: 0.6082, Acc.blind: 0.5253, Acc.coffee table: 0.8439, Acc.toilet: 0.9204, Acc.flower: 0.6622, Acc.book: 0.7132, Acc.hill: 0.1079, Acc.bench: 0.5018, Acc.countertop: 0.7854, Acc.stove: 0.8873, Acc.palm: 0.7609, Acc.kitchen island: 0.7945, Acc.computer: 0.7766, Acc.swivel chair: 0.6244, Acc.boat: 0.8223, Acc.bar: 0.3927, Acc.arcade machine: 0.8935, Acc.hovel: 0.4604, Acc.bus: 0.9655, Acc.towel: 0.8065, Acc.light: 0.7572, Acc.truck: 0.5720, Acc.tower: 0.6406, Acc.chandelier: 0.8644, Acc.awning: 0.4596, Acc.streetlight: 0.6160, Acc.booth: 0.4395, Acc.television receiver: 0.8309, Acc.airplane: 0.7445, Acc.dirt track: 0.5492, Acc.apparel: 0.4936, Acc.pole: 0.4552, Acc.land: 0.0811, Acc.bannister: 0.3212, Acc.escalator: 0.2359, Acc.ottoman: 0.7169, Acc.bottle: 0.6983, Acc.buffet: 0.5486, Acc.poster: 0.3635, Acc.stage: 0.3009, Acc.van: 0.6285, Acc.ship: 0.1190, Acc.fountain: 0.2698, Acc.conveyer belt: 0.9439, Acc.canopy: 0.4702, Acc.washer: 0.7372, Acc.plaything: 0.6441, Acc.swimming pool: 0.4297, Acc.stool: 0.6744, Acc.barrel: 0.9713, Acc.basket: 0.4466, Acc.waterfall: 0.9119, Acc.tent: 0.9804, Acc.bag: 0.2065, Acc.minibike: 0.9147, Acc.cradle: 0.9762, Acc.oven: 0.6780, Acc.ball: 0.4556, Acc.food: 0.7913, Acc.step: 0.2696, Acc.tank: 0.6593, Acc.trade name: 0.4064, Acc.microwave: 0.9347, Acc.pot: 0.5852, Acc.animal: 0.5620, Acc.bicycle: 0.7482, Acc.lake: 0.6360, Acc.dishwasher: 0.8460, Acc.screen: 0.8700, Acc.blanket: 0.3138, Acc.sculpture: 0.8591, Acc.hood: 0.7588, Acc.sconce: 0.7068, Acc.vase: 0.6343, Acc.traffic light: 0.6291, Acc.tray: 0.2664, Acc.ashcan: 0.6975, Acc.fan: 0.8549, Acc.pier: 0.4470, Acc.crt screen: 0.0861, Acc.plate: 0.7420, Acc.monitor: 0.7976, Acc.bulletin board: 0.7932, Acc.shower: 0.2393, Acc.radiator: 0.8815, Acc.glass: 0.2197, Acc.clock: 0.6893, Acc.flag: 0.4103 2023-11-12 16:32:46,509 - mmseg - INFO - Iter [128050/160000] lr: 1.997e-05, eta: 4:26:20, time: 0.925, data_time: 0.462, memory: 41146, decode.loss_cls: 0.1484, decode.loss_mask: 0.4291, decode.loss_dice: 0.6276, decode.d0.loss_cls: 1.0940, decode.d0.loss_mask: 0.4608, decode.d0.loss_dice: 0.6823, decode.d1.loss_cls: 0.2006, decode.d1.loss_mask: 0.4399, decode.d1.loss_dice: 0.6600, decode.d2.loss_cls: 0.1707, decode.d2.loss_mask: 0.4333, decode.d2.loss_dice: 0.6461, decode.d3.loss_cls: 0.1606, decode.d3.loss_mask: 0.4318, decode.d3.loss_dice: 0.6374, decode.d4.loss_cls: 0.1530, decode.d4.loss_mask: 0.4308, decode.d4.loss_dice: 0.6325, decode.d5.loss_cls: 0.1467, decode.d5.loss_mask: 0.4302, decode.d5.loss_dice: 0.6317, decode.d6.loss_cls: 0.1517, decode.d6.loss_mask: 0.4296, decode.d6.loss_dice: 0.6259, decode.d7.loss_cls: 0.1478, decode.d7.loss_mask: 0.4307, decode.d7.loss_dice: 0.6287, decode.d8.loss_cls: 0.1440, decode.d8.loss_mask: 0.4301, decode.d8.loss_dice: 0.6277, loss: 13.2637, grad_norm: 44.5107 2023-11-12 16:33:10,384 - mmseg - INFO - Iter [128100/160000] lr: 1.994e-05, eta: 4:25:55, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1505, decode.loss_mask: 0.4100, decode.loss_dice: 0.6449, decode.d0.loss_cls: 1.0953, decode.d0.loss_mask: 0.4401, decode.d0.loss_dice: 0.6962, decode.d1.loss_cls: 0.2114, decode.d1.loss_mask: 0.4198, decode.d1.loss_dice: 0.6747, decode.d2.loss_cls: 0.1760, decode.d2.loss_mask: 0.4150, decode.d2.loss_dice: 0.6594, decode.d3.loss_cls: 0.1639, decode.d3.loss_mask: 0.4109, decode.d3.loss_dice: 0.6503, decode.d4.loss_cls: 0.1553, decode.d4.loss_mask: 0.4110, decode.d4.loss_dice: 0.6513, decode.d5.loss_cls: 0.1540, decode.d5.loss_mask: 0.4111, decode.d5.loss_dice: 0.6520, decode.d6.loss_cls: 0.1560, decode.d6.loss_mask: 0.4089, decode.d6.loss_dice: 0.6447, decode.d7.loss_cls: 0.1490, decode.d7.loss_mask: 0.4108, decode.d7.loss_dice: 0.6468, decode.d8.loss_cls: 0.1485, decode.d8.loss_mask: 0.4111, decode.d8.loss_dice: 0.6465, loss: 13.2758, grad_norm: 44.0281 2023-11-12 16:33:34,281 - mmseg - INFO - Iter [128150/160000] lr: 1.991e-05, eta: 4:25:29, time: 0.478, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1666, decode.loss_mask: 0.4146, decode.loss_dice: 0.6640, decode.d0.loss_cls: 1.1357, decode.d0.loss_mask: 0.4408, decode.d0.loss_dice: 0.7155, decode.d1.loss_cls: 0.2360, decode.d1.loss_mask: 0.4245, decode.d1.loss_dice: 0.6947, decode.d2.loss_cls: 0.2023, decode.d2.loss_mask: 0.4189, decode.d2.loss_dice: 0.6786, decode.d3.loss_cls: 0.1900, decode.d3.loss_mask: 0.4161, decode.d3.loss_dice: 0.6653, decode.d4.loss_cls: 0.1792, decode.d4.loss_mask: 0.4145, decode.d4.loss_dice: 0.6647, decode.d5.loss_cls: 0.1748, decode.d5.loss_mask: 0.4145, decode.d5.loss_dice: 0.6684, decode.d6.loss_cls: 0.1721, decode.d6.loss_mask: 0.4137, decode.d6.loss_dice: 0.6635, decode.d7.loss_cls: 0.1715, decode.d7.loss_mask: 0.4153, decode.d7.loss_dice: 0.6657, decode.d8.loss_cls: 0.1665, decode.d8.loss_mask: 0.4146, decode.d8.loss_dice: 0.6625, loss: 13.7250, grad_norm: 45.0182 2023-11-12 16:33:58,257 - mmseg - INFO - Iter [128200/160000] lr: 1.988e-05, eta: 4:25:04, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1598, decode.loss_mask: 0.3909, decode.loss_dice: 0.6294, decode.d0.loss_cls: 1.1202, decode.d0.loss_mask: 0.4194, decode.d0.loss_dice: 0.6861, decode.d1.loss_cls: 0.2228, decode.d1.loss_mask: 0.4008, decode.d1.loss_dice: 0.6553, decode.d2.loss_cls: 0.1934, decode.d2.loss_mask: 0.3950, decode.d2.loss_dice: 0.6417, decode.d3.loss_cls: 0.1770, decode.d3.loss_mask: 0.3928, decode.d3.loss_dice: 0.6303, decode.d4.loss_cls: 0.1677, decode.d4.loss_mask: 0.3912, decode.d4.loss_dice: 0.6317, decode.d5.loss_cls: 0.1630, decode.d5.loss_mask: 0.3911, decode.d5.loss_dice: 0.6362, decode.d6.loss_cls: 0.1645, decode.d6.loss_mask: 0.3905, decode.d6.loss_dice: 0.6273, decode.d7.loss_cls: 0.1659, decode.d7.loss_mask: 0.3897, decode.d7.loss_dice: 0.6273, decode.d8.loss_cls: 0.1582, decode.d8.loss_mask: 0.3907, decode.d8.loss_dice: 0.6291, loss: 13.0390, grad_norm: 40.7983 2023-11-12 16:34:21,995 - mmseg - INFO - Iter [128250/160000] lr: 1.984e-05, eta: 4:24:39, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1337, decode.loss_mask: 0.4049, decode.loss_dice: 0.6161, decode.d0.loss_cls: 1.0989, decode.d0.loss_mask: 0.4309, decode.d0.loss_dice: 0.6698, decode.d1.loss_cls: 0.1892, decode.d1.loss_mask: 0.4145, decode.d1.loss_dice: 0.6446, decode.d2.loss_cls: 0.1630, decode.d2.loss_mask: 0.4096, decode.d2.loss_dice: 0.6321, decode.d3.loss_cls: 0.1496, decode.d3.loss_mask: 0.4078, decode.d3.loss_dice: 0.6184, decode.d4.loss_cls: 0.1460, decode.d4.loss_mask: 0.4057, decode.d4.loss_dice: 0.6188, decode.d5.loss_cls: 0.1385, decode.d5.loss_mask: 0.4070, decode.d5.loss_dice: 0.6201, decode.d6.loss_cls: 0.1373, decode.d6.loss_mask: 0.4058, decode.d6.loss_dice: 0.6168, decode.d7.loss_cls: 0.1382, decode.d7.loss_mask: 0.4048, decode.d7.loss_dice: 0.6171, decode.d8.loss_cls: 0.1352, decode.d8.loss_mask: 0.4048, decode.d8.loss_dice: 0.6185, loss: 12.7976, grad_norm: 47.8047 2023-11-12 16:34:45,641 - mmseg - INFO - Iter [128300/160000] lr: 1.981e-05, eta: 4:24:13, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1445, decode.loss_mask: 0.4189, decode.loss_dice: 0.6190, decode.d0.loss_cls: 1.0935, decode.d0.loss_mask: 0.4493, decode.d0.loss_dice: 0.6707, decode.d1.loss_cls: 0.2015, decode.d1.loss_mask: 0.4305, decode.d1.loss_dice: 0.6412, decode.d2.loss_cls: 0.1727, decode.d2.loss_mask: 0.4245, decode.d2.loss_dice: 0.6328, decode.d3.loss_cls: 0.1566, decode.d3.loss_mask: 0.4222, decode.d3.loss_dice: 0.6231, decode.d4.loss_cls: 0.1490, decode.d4.loss_mask: 0.4221, decode.d4.loss_dice: 0.6255, decode.d5.loss_cls: 0.1482, decode.d5.loss_mask: 0.4206, decode.d5.loss_dice: 0.6236, decode.d6.loss_cls: 0.1499, decode.d6.loss_mask: 0.4197, decode.d6.loss_dice: 0.6176, decode.d7.loss_cls: 0.1446, decode.d7.loss_mask: 0.4201, decode.d7.loss_dice: 0.6219, decode.d8.loss_cls: 0.1460, decode.d8.loss_mask: 0.4188, decode.d8.loss_dice: 0.6231, loss: 13.0518, grad_norm: 43.6078 2023-11-12 16:35:09,282 - mmseg - INFO - Iter [128350/160000] lr: 1.978e-05, eta: 4:23:48, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1520, decode.loss_mask: 0.3986, decode.loss_dice: 0.6377, decode.d0.loss_cls: 1.1203, decode.d0.loss_mask: 0.4272, decode.d0.loss_dice: 0.6933, decode.d1.loss_cls: 0.2171, decode.d1.loss_mask: 0.4109, decode.d1.loss_dice: 0.6662, decode.d2.loss_cls: 0.1909, decode.d2.loss_mask: 0.4033, decode.d2.loss_dice: 0.6535, decode.d3.loss_cls: 0.1724, decode.d3.loss_mask: 0.4000, decode.d3.loss_dice: 0.6375, decode.d4.loss_cls: 0.1593, decode.d4.loss_mask: 0.3976, decode.d4.loss_dice: 0.6406, decode.d5.loss_cls: 0.1540, decode.d5.loss_mask: 0.3987, decode.d5.loss_dice: 0.6418, decode.d6.loss_cls: 0.1555, decode.d6.loss_mask: 0.3993, decode.d6.loss_dice: 0.6334, decode.d7.loss_cls: 0.1499, decode.d7.loss_mask: 0.3996, decode.d7.loss_dice: 0.6394, decode.d8.loss_cls: 0.1498, decode.d8.loss_mask: 0.3992, decode.d8.loss_dice: 0.6389, loss: 13.1379, grad_norm: 42.2454 2023-11-12 16:35:32,837 - mmseg - INFO - Iter [128400/160000] lr: 1.975e-05, eta: 4:23:23, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1582, decode.loss_mask: 0.4287, decode.loss_dice: 0.6385, decode.d0.loss_cls: 1.1303, decode.d0.loss_mask: 0.4602, decode.d0.loss_dice: 0.6991, decode.d1.loss_cls: 0.2146, decode.d1.loss_mask: 0.4436, decode.d1.loss_dice: 0.6777, decode.d2.loss_cls: 0.1816, decode.d2.loss_mask: 0.4348, decode.d2.loss_dice: 0.6585, decode.d3.loss_cls: 0.1729, decode.d3.loss_mask: 0.4312, decode.d3.loss_dice: 0.6490, decode.d4.loss_cls: 0.1671, decode.d4.loss_mask: 0.4294, decode.d4.loss_dice: 0.6463, decode.d5.loss_cls: 0.1658, decode.d5.loss_mask: 0.4285, decode.d5.loss_dice: 0.6467, decode.d6.loss_cls: 0.1651, decode.d6.loss_mask: 0.4286, decode.d6.loss_dice: 0.6432, decode.d7.loss_cls: 0.1635, decode.d7.loss_mask: 0.4283, decode.d7.loss_dice: 0.6395, decode.d8.loss_cls: 0.1576, decode.d8.loss_mask: 0.4294, decode.d8.loss_dice: 0.6426, loss: 13.5606, grad_norm: 49.9910 2023-11-12 16:35:56,555 - mmseg - INFO - Iter [128450/160000] lr: 1.972e-05, eta: 4:22:57, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1497, decode.loss_mask: 0.4072, decode.loss_dice: 0.6181, decode.d0.loss_cls: 1.1066, decode.d0.loss_mask: 0.4349, decode.d0.loss_dice: 0.6687, decode.d1.loss_cls: 0.2138, decode.d1.loss_mask: 0.4166, decode.d1.loss_dice: 0.6415, decode.d2.loss_cls: 0.1823, decode.d2.loss_mask: 0.4111, decode.d2.loss_dice: 0.6263, decode.d3.loss_cls: 0.1683, decode.d3.loss_mask: 0.4091, decode.d3.loss_dice: 0.6195, decode.d4.loss_cls: 0.1616, decode.d4.loss_mask: 0.4091, decode.d4.loss_dice: 0.6206, decode.d5.loss_cls: 0.1611, decode.d5.loss_mask: 0.4083, decode.d5.loss_dice: 0.6179, decode.d6.loss_cls: 0.1586, decode.d6.loss_mask: 0.4077, decode.d6.loss_dice: 0.6149, decode.d7.loss_cls: 0.1512, decode.d7.loss_mask: 0.4078, decode.d7.loss_dice: 0.6153, decode.d8.loss_cls: 0.1573, decode.d8.loss_mask: 0.4066, decode.d8.loss_dice: 0.6118, loss: 12.9834, grad_norm: 44.1701 2023-11-12 16:36:20,291 - mmseg - INFO - Iter [128500/160000] lr: 1.969e-05, eta: 4:22:32, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1586, decode.loss_mask: 0.4180, decode.loss_dice: 0.6378, decode.d0.loss_cls: 1.1087, decode.d0.loss_mask: 0.4440, decode.d0.loss_dice: 0.6822, decode.d1.loss_cls: 0.2127, decode.d1.loss_mask: 0.4278, decode.d1.loss_dice: 0.6642, decode.d2.loss_cls: 0.1837, decode.d2.loss_mask: 0.4217, decode.d2.loss_dice: 0.6496, decode.d3.loss_cls: 0.1752, decode.d3.loss_mask: 0.4198, decode.d3.loss_dice: 0.6370, decode.d4.loss_cls: 0.1673, decode.d4.loss_mask: 0.4187, decode.d4.loss_dice: 0.6405, decode.d5.loss_cls: 0.1639, decode.d5.loss_mask: 0.4194, decode.d5.loss_dice: 0.6405, decode.d6.loss_cls: 0.1644, decode.d6.loss_mask: 0.4185, decode.d6.loss_dice: 0.6355, decode.d7.loss_cls: 0.1643, decode.d7.loss_mask: 0.4179, decode.d7.loss_dice: 0.6385, decode.d8.loss_cls: 0.1554, decode.d8.loss_mask: 0.4185, decode.d8.loss_dice: 0.6379, loss: 13.3419, grad_norm: 45.0505 2023-11-12 16:36:44,133 - mmseg - INFO - Iter [128550/160000] lr: 1.966e-05, eta: 4:22:07, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1461, decode.loss_mask: 0.4105, decode.loss_dice: 0.6130, decode.d0.loss_cls: 1.1080, decode.d0.loss_mask: 0.4449, decode.d0.loss_dice: 0.6729, decode.d1.loss_cls: 0.1999, decode.d1.loss_mask: 0.4244, decode.d1.loss_dice: 0.6469, decode.d2.loss_cls: 0.1735, decode.d2.loss_mask: 0.4167, decode.d2.loss_dice: 0.6273, decode.d3.loss_cls: 0.1619, decode.d3.loss_mask: 0.4143, decode.d3.loss_dice: 0.6227, decode.d4.loss_cls: 0.1598, decode.d4.loss_mask: 0.4129, decode.d4.loss_dice: 0.6201, decode.d5.loss_cls: 0.1527, decode.d5.loss_mask: 0.4116, decode.d5.loss_dice: 0.6226, decode.d6.loss_cls: 0.1528, decode.d6.loss_mask: 0.4121, decode.d6.loss_dice: 0.6177, decode.d7.loss_cls: 0.1489, decode.d7.loss_mask: 0.4120, decode.d7.loss_dice: 0.6127, decode.d8.loss_cls: 0.1498, decode.d8.loss_mask: 0.4117, decode.d8.loss_dice: 0.6145, loss: 12.9950, grad_norm: 43.6704 2023-11-12 16:37:08,028 - mmseg - INFO - Iter [128600/160000] lr: 1.963e-05, eta: 4:21:42, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1560, decode.loss_mask: 0.4001, decode.loss_dice: 0.6471, decode.d0.loss_cls: 1.1243, decode.d0.loss_mask: 0.4326, decode.d0.loss_dice: 0.7048, decode.d1.loss_cls: 0.2152, decode.d1.loss_mask: 0.4124, decode.d1.loss_dice: 0.6809, decode.d2.loss_cls: 0.1881, decode.d2.loss_mask: 0.4039, decode.d2.loss_dice: 0.6623, decode.d3.loss_cls: 0.1728, decode.d3.loss_mask: 0.4009, decode.d3.loss_dice: 0.6534, decode.d4.loss_cls: 0.1646, decode.d4.loss_mask: 0.3999, decode.d4.loss_dice: 0.6527, decode.d5.loss_cls: 0.1617, decode.d5.loss_mask: 0.3994, decode.d5.loss_dice: 0.6534, decode.d6.loss_cls: 0.1634, decode.d6.loss_mask: 0.3995, decode.d6.loss_dice: 0.6492, decode.d7.loss_cls: 0.1572, decode.d7.loss_mask: 0.3992, decode.d7.loss_dice: 0.6511, decode.d8.loss_cls: 0.1567, decode.d8.loss_mask: 0.4001, decode.d8.loss_dice: 0.6485, loss: 13.3114, grad_norm: 45.0979 2023-11-12 16:37:31,681 - mmseg - INFO - Iter [128650/160000] lr: 1.959e-05, eta: 4:21:16, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1339, decode.loss_mask: 0.4256, decode.loss_dice: 0.6289, decode.d0.loss_cls: 1.0732, decode.d0.loss_mask: 0.4604, decode.d0.loss_dice: 0.6906, decode.d1.loss_cls: 0.1924, decode.d1.loss_mask: 0.4379, decode.d1.loss_dice: 0.6627, decode.d2.loss_cls: 0.1662, decode.d2.loss_mask: 0.4306, decode.d2.loss_dice: 0.6424, decode.d3.loss_cls: 0.1579, decode.d3.loss_mask: 0.4277, decode.d3.loss_dice: 0.6363, decode.d4.loss_cls: 0.1460, decode.d4.loss_mask: 0.4272, decode.d4.loss_dice: 0.6365, decode.d5.loss_cls: 0.1423, decode.d5.loss_mask: 0.4265, decode.d5.loss_dice: 0.6347, decode.d6.loss_cls: 0.1371, decode.d6.loss_mask: 0.4262, decode.d6.loss_dice: 0.6296, decode.d7.loss_cls: 0.1342, decode.d7.loss_mask: 0.4259, decode.d7.loss_dice: 0.6346, decode.d8.loss_cls: 0.1360, decode.d8.loss_mask: 0.4268, decode.d8.loss_dice: 0.6308, loss: 13.1613, grad_norm: 48.8845 2023-11-12 16:37:55,295 - mmseg - INFO - Iter [128700/160000] lr: 1.956e-05, eta: 4:20:51, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1572, decode.loss_mask: 0.4182, decode.loss_dice: 0.6211, decode.d0.loss_cls: 1.1343, decode.d0.loss_mask: 0.4516, decode.d0.loss_dice: 0.6770, decode.d1.loss_cls: 0.2076, decode.d1.loss_mask: 0.4324, decode.d1.loss_dice: 0.6536, decode.d2.loss_cls: 0.1777, decode.d2.loss_mask: 0.4240, decode.d2.loss_dice: 0.6355, decode.d3.loss_cls: 0.1688, decode.d3.loss_mask: 0.4217, decode.d3.loss_dice: 0.6254, decode.d4.loss_cls: 0.1642, decode.d4.loss_mask: 0.4212, decode.d4.loss_dice: 0.6255, decode.d5.loss_cls: 0.1621, decode.d5.loss_mask: 0.4195, decode.d5.loss_dice: 0.6255, decode.d6.loss_cls: 0.1572, decode.d6.loss_mask: 0.4192, decode.d6.loss_dice: 0.6220, decode.d7.loss_cls: 0.1576, decode.d7.loss_mask: 0.4187, decode.d7.loss_dice: 0.6247, decode.d8.loss_cls: 0.1614, decode.d8.loss_mask: 0.4183, decode.d8.loss_dice: 0.6213, loss: 13.2246, grad_norm: 46.8548 2023-11-12 16:38:19,020 - mmseg - INFO - Iter [128750/160000] lr: 1.953e-05, eta: 4:20:26, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1487, decode.loss_mask: 0.4261, decode.loss_dice: 0.6452, decode.d0.loss_cls: 1.1121, decode.d0.loss_mask: 0.4560, decode.d0.loss_dice: 0.6990, decode.d1.loss_cls: 0.2063, decode.d1.loss_mask: 0.4365, decode.d1.loss_dice: 0.6777, decode.d2.loss_cls: 0.1788, decode.d2.loss_mask: 0.4322, decode.d2.loss_dice: 0.6678, decode.d3.loss_cls: 0.1661, decode.d3.loss_mask: 0.4299, decode.d3.loss_dice: 0.6513, decode.d4.loss_cls: 0.1608, decode.d4.loss_mask: 0.4283, decode.d4.loss_dice: 0.6521, decode.d5.loss_cls: 0.1570, decode.d5.loss_mask: 0.4277, decode.d5.loss_dice: 0.6502, decode.d6.loss_cls: 0.1550, decode.d6.loss_mask: 0.4272, decode.d6.loss_dice: 0.6477, decode.d7.loss_cls: 0.1529, decode.d7.loss_mask: 0.4274, decode.d7.loss_dice: 0.6447, decode.d8.loss_cls: 0.1478, decode.d8.loss_mask: 0.4258, decode.d8.loss_dice: 0.6458, loss: 13.4841, grad_norm: 47.9611 2023-11-12 16:38:42,660 - mmseg - INFO - Iter [128800/160000] lr: 1.950e-05, eta: 4:20:00, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1478, decode.loss_mask: 0.4219, decode.loss_dice: 0.6344, decode.d0.loss_cls: 1.1213, decode.d0.loss_mask: 0.4545, decode.d0.loss_dice: 0.6860, decode.d1.loss_cls: 0.2100, decode.d1.loss_mask: 0.4345, decode.d1.loss_dice: 0.6635, decode.d2.loss_cls: 0.1811, decode.d2.loss_mask: 0.4294, decode.d2.loss_dice: 0.6503, decode.d3.loss_cls: 0.1657, decode.d3.loss_mask: 0.4270, decode.d3.loss_dice: 0.6423, decode.d4.loss_cls: 0.1604, decode.d4.loss_mask: 0.4254, decode.d4.loss_dice: 0.6357, decode.d5.loss_cls: 0.1595, decode.d5.loss_mask: 0.4228, decode.d5.loss_dice: 0.6357, decode.d6.loss_cls: 0.1548, decode.d6.loss_mask: 0.4221, decode.d6.loss_dice: 0.6327, decode.d7.loss_cls: 0.1553, decode.d7.loss_mask: 0.4209, decode.d7.loss_dice: 0.6330, decode.d8.loss_cls: 0.1490, decode.d8.loss_mask: 0.4219, decode.d8.loss_dice: 0.6317, loss: 13.3306, grad_norm: 47.4912 2023-11-12 16:39:08,726 - mmseg - INFO - Iter [128850/160000] lr: 1.947e-05, eta: 4:19:35, time: 0.521, data_time: 0.058, memory: 41146, decode.loss_cls: 0.1513, decode.loss_mask: 0.4115, decode.loss_dice: 0.6057, decode.d0.loss_cls: 1.0890, decode.d0.loss_mask: 0.4454, decode.d0.loss_dice: 0.6611, decode.d1.loss_cls: 0.1986, decode.d1.loss_mask: 0.4240, decode.d1.loss_dice: 0.6354, decode.d2.loss_cls: 0.1698, decode.d2.loss_mask: 0.4158, decode.d2.loss_dice: 0.6207, decode.d3.loss_cls: 0.1606, decode.d3.loss_mask: 0.4150, decode.d3.loss_dice: 0.6132, decode.d4.loss_cls: 0.1580, decode.d4.loss_mask: 0.4126, decode.d4.loss_dice: 0.6087, decode.d5.loss_cls: 0.1512, decode.d5.loss_mask: 0.4139, decode.d5.loss_dice: 0.6093, decode.d6.loss_cls: 0.1547, decode.d6.loss_mask: 0.4127, decode.d6.loss_dice: 0.6068, decode.d7.loss_cls: 0.1503, decode.d7.loss_mask: 0.4129, decode.d7.loss_dice: 0.6068, decode.d8.loss_cls: 0.1486, decode.d8.loss_mask: 0.4135, decode.d8.loss_dice: 0.6030, loss: 12.8802, grad_norm: 44.2115 2023-11-12 16:39:32,424 - mmseg - INFO - Iter [128900/160000] lr: 1.944e-05, eta: 4:19:10, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1269, decode.loss_mask: 0.4002, decode.loss_dice: 0.6165, decode.d0.loss_cls: 1.0773, decode.d0.loss_mask: 0.4242, decode.d0.loss_dice: 0.6689, decode.d1.loss_cls: 0.1825, decode.d1.loss_mask: 0.4110, decode.d1.loss_dice: 0.6399, decode.d2.loss_cls: 0.1649, decode.d2.loss_mask: 0.4042, decode.d2.loss_dice: 0.6297, decode.d3.loss_cls: 0.1459, decode.d3.loss_mask: 0.4002, decode.d3.loss_dice: 0.6215, decode.d4.loss_cls: 0.1394, decode.d4.loss_mask: 0.4014, decode.d4.loss_dice: 0.6220, decode.d5.loss_cls: 0.1365, decode.d5.loss_mask: 0.4000, decode.d5.loss_dice: 0.6177, decode.d6.loss_cls: 0.1330, decode.d6.loss_mask: 0.4005, decode.d6.loss_dice: 0.6167, decode.d7.loss_cls: 0.1309, decode.d7.loss_mask: 0.4007, decode.d7.loss_dice: 0.6174, decode.d8.loss_cls: 0.1262, decode.d8.loss_mask: 0.3994, decode.d8.loss_dice: 0.6189, loss: 12.6741, grad_norm: 42.0839 2023-11-12 16:39:56,023 - mmseg - INFO - Iter [128950/160000] lr: 1.941e-05, eta: 4:18:45, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1441, decode.loss_mask: 0.4231, decode.loss_dice: 0.6171, decode.d0.loss_cls: 1.0752, decode.d0.loss_mask: 0.4544, decode.d0.loss_dice: 0.6661, decode.d1.loss_cls: 0.1979, decode.d1.loss_mask: 0.4384, decode.d1.loss_dice: 0.6433, decode.d2.loss_cls: 0.1752, decode.d2.loss_mask: 0.4292, decode.d2.loss_dice: 0.6295, decode.d3.loss_cls: 0.1627, decode.d3.loss_mask: 0.4259, decode.d3.loss_dice: 0.6185, decode.d4.loss_cls: 0.1581, decode.d4.loss_mask: 0.4249, decode.d4.loss_dice: 0.6170, decode.d5.loss_cls: 0.1531, decode.d5.loss_mask: 0.4238, decode.d5.loss_dice: 0.6175, decode.d6.loss_cls: 0.1507, decode.d6.loss_mask: 0.4238, decode.d6.loss_dice: 0.6171, decode.d7.loss_cls: 0.1433, decode.d7.loss_mask: 0.4254, decode.d7.loss_dice: 0.6182, decode.d8.loss_cls: 0.1428, decode.d8.loss_mask: 0.4233, decode.d8.loss_dice: 0.6158, loss: 13.0553, grad_norm: 45.4284 2023-11-12 16:40:19,841 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 16:40:19,841 - mmseg - INFO - Iter [129000/160000] lr: 1.938e-05, eta: 4:18:20, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1465, decode.loss_mask: 0.4153, decode.loss_dice: 0.6248, decode.d0.loss_cls: 1.1143, decode.d0.loss_mask: 0.4471, decode.d0.loss_dice: 0.6775, decode.d1.loss_cls: 0.2079, decode.d1.loss_mask: 0.4284, decode.d1.loss_dice: 0.6564, decode.d2.loss_cls: 0.1763, decode.d2.loss_mask: 0.4220, decode.d2.loss_dice: 0.6420, decode.d3.loss_cls: 0.1596, decode.d3.loss_mask: 0.4185, decode.d3.loss_dice: 0.6331, decode.d4.loss_cls: 0.1493, decode.d4.loss_mask: 0.4173, decode.d4.loss_dice: 0.6308, decode.d5.loss_cls: 0.1472, decode.d5.loss_mask: 0.4197, decode.d5.loss_dice: 0.6312, decode.d6.loss_cls: 0.1503, decode.d6.loss_mask: 0.4175, decode.d6.loss_dice: 0.6278, decode.d7.loss_cls: 0.1476, decode.d7.loss_mask: 0.4167, decode.d7.loss_dice: 0.6288, decode.d8.loss_cls: 0.1439, decode.d8.loss_mask: 0.4169, decode.d8.loss_dice: 0.6272, loss: 13.1418, grad_norm: 47.5348 2023-11-12 16:40:43,519 - mmseg - INFO - Iter [129050/160000] lr: 1.934e-05, eta: 4:17:54, time: 0.474, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1478, decode.loss_mask: 0.4225, decode.loss_dice: 0.6378, decode.d0.loss_cls: 1.0954, decode.d0.loss_mask: 0.4512, decode.d0.loss_dice: 0.6859, decode.d1.loss_cls: 0.2041, decode.d1.loss_mask: 0.4318, decode.d1.loss_dice: 0.6678, decode.d2.loss_cls: 0.1739, decode.d2.loss_mask: 0.4275, decode.d2.loss_dice: 0.6547, decode.d3.loss_cls: 0.1642, decode.d3.loss_mask: 0.4259, decode.d3.loss_dice: 0.6447, decode.d4.loss_cls: 0.1579, decode.d4.loss_mask: 0.4243, decode.d4.loss_dice: 0.6433, decode.d5.loss_cls: 0.1511, decode.d5.loss_mask: 0.4225, decode.d5.loss_dice: 0.6436, decode.d6.loss_cls: 0.1466, decode.d6.loss_mask: 0.4246, decode.d6.loss_dice: 0.6392, decode.d7.loss_cls: 0.1487, decode.d7.loss_mask: 0.4228, decode.d7.loss_dice: 0.6372, decode.d8.loss_cls: 0.1481, decode.d8.loss_mask: 0.4233, decode.d8.loss_dice: 0.6390, loss: 13.3073, grad_norm: 47.4820 2023-11-12 16:41:07,167 - mmseg - INFO - Iter [129100/160000] lr: 1.931e-05, eta: 4:17:29, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1446, decode.loss_mask: 0.4127, decode.loss_dice: 0.6416, decode.d0.loss_cls: 1.1143, decode.d0.loss_mask: 0.4415, decode.d0.loss_dice: 0.6949, decode.d1.loss_cls: 0.2152, decode.d1.loss_mask: 0.4201, decode.d1.loss_dice: 0.6633, decode.d2.loss_cls: 0.1796, decode.d2.loss_mask: 0.4144, decode.d2.loss_dice: 0.6535, decode.d3.loss_cls: 0.1652, decode.d3.loss_mask: 0.4139, decode.d3.loss_dice: 0.6429, decode.d4.loss_cls: 0.1594, decode.d4.loss_mask: 0.4124, decode.d4.loss_dice: 0.6398, decode.d5.loss_cls: 0.1581, decode.d5.loss_mask: 0.4121, decode.d5.loss_dice: 0.6427, decode.d6.loss_cls: 0.1543, decode.d6.loss_mask: 0.4125, decode.d6.loss_dice: 0.6418, decode.d7.loss_cls: 0.1487, decode.d7.loss_mask: 0.4119, decode.d7.loss_dice: 0.6390, decode.d8.loss_cls: 0.1486, decode.d8.loss_mask: 0.4118, decode.d8.loss_dice: 0.6372, loss: 13.2479, grad_norm: 47.6780 2023-11-12 16:41:30,842 - mmseg - INFO - Iter [129150/160000] lr: 1.928e-05, eta: 4:17:04, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1444, decode.loss_mask: 0.4110, decode.loss_dice: 0.6340, decode.d0.loss_cls: 1.1094, decode.d0.loss_mask: 0.4406, decode.d0.loss_dice: 0.6815, decode.d1.loss_cls: 0.2080, decode.d1.loss_mask: 0.4231, decode.d1.loss_dice: 0.6636, decode.d2.loss_cls: 0.1768, decode.d2.loss_mask: 0.4162, decode.d2.loss_dice: 0.6499, decode.d3.loss_cls: 0.1634, decode.d3.loss_mask: 0.4123, decode.d3.loss_dice: 0.6372, decode.d4.loss_cls: 0.1577, decode.d4.loss_mask: 0.4123, decode.d4.loss_dice: 0.6386, decode.d5.loss_cls: 0.1574, decode.d5.loss_mask: 0.4113, decode.d5.loss_dice: 0.6341, decode.d6.loss_cls: 0.1498, decode.d6.loss_mask: 0.4116, decode.d6.loss_dice: 0.6339, decode.d7.loss_cls: 0.1465, decode.d7.loss_mask: 0.4115, decode.d7.loss_dice: 0.6322, decode.d8.loss_cls: 0.1469, decode.d8.loss_mask: 0.4106, decode.d8.loss_dice: 0.6341, loss: 13.1601, grad_norm: 46.1518 2023-11-12 16:41:54,409 - mmseg - INFO - Iter [129200/160000] lr: 1.925e-05, eta: 4:16:38, time: 0.471, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1488, decode.loss_mask: 0.4026, decode.loss_dice: 0.6176, decode.d0.loss_cls: 1.0907, decode.d0.loss_mask: 0.4332, decode.d0.loss_dice: 0.6645, decode.d1.loss_cls: 0.2058, decode.d1.loss_mask: 0.4140, decode.d1.loss_dice: 0.6485, decode.d2.loss_cls: 0.1753, decode.d2.loss_mask: 0.4080, decode.d2.loss_dice: 0.6358, decode.d3.loss_cls: 0.1647, decode.d3.loss_mask: 0.4047, decode.d3.loss_dice: 0.6226, decode.d4.loss_cls: 0.1582, decode.d4.loss_mask: 0.4031, decode.d4.loss_dice: 0.6227, decode.d5.loss_cls: 0.1508, decode.d5.loss_mask: 0.4025, decode.d5.loss_dice: 0.6252, decode.d6.loss_cls: 0.1505, decode.d6.loss_mask: 0.4023, decode.d6.loss_dice: 0.6172, decode.d7.loss_cls: 0.1512, decode.d7.loss_mask: 0.4031, decode.d7.loss_dice: 0.6222, decode.d8.loss_cls: 0.1484, decode.d8.loss_mask: 0.4020, decode.d8.loss_dice: 0.6204, loss: 12.9165, grad_norm: 50.1091 2023-11-12 16:42:18,278 - mmseg - INFO - Iter [129250/160000] lr: 1.922e-05, eta: 4:16:13, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1565, decode.loss_mask: 0.4127, decode.loss_dice: 0.6260, decode.d0.loss_cls: 1.1325, decode.d0.loss_mask: 0.4414, decode.d0.loss_dice: 0.6764, decode.d1.loss_cls: 0.2128, decode.d1.loss_mask: 0.4235, decode.d1.loss_dice: 0.6550, decode.d2.loss_cls: 0.1872, decode.d2.loss_mask: 0.4169, decode.d2.loss_dice: 0.6409, decode.d3.loss_cls: 0.1713, decode.d3.loss_mask: 0.4143, decode.d3.loss_dice: 0.6316, decode.d4.loss_cls: 0.1631, decode.d4.loss_mask: 0.4133, decode.d4.loss_dice: 0.6288, decode.d5.loss_cls: 0.1595, decode.d5.loss_mask: 0.4133, decode.d5.loss_dice: 0.6285, decode.d6.loss_cls: 0.1579, decode.d6.loss_mask: 0.4127, decode.d6.loss_dice: 0.6339, decode.d7.loss_cls: 0.1581, decode.d7.loss_mask: 0.4141, decode.d7.loss_dice: 0.6300, decode.d8.loss_cls: 0.1556, decode.d8.loss_mask: 0.4123, decode.d8.loss_dice: 0.6294, loss: 13.2095, grad_norm: 43.9143 2023-11-12 16:42:42,059 - mmseg - INFO - Iter [129300/160000] lr: 1.919e-05, eta: 4:15:48, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1514, decode.loss_mask: 0.4103, decode.loss_dice: 0.6217, decode.d0.loss_cls: 1.0911, decode.d0.loss_mask: 0.4425, decode.d0.loss_dice: 0.6740, decode.d1.loss_cls: 0.2034, decode.d1.loss_mask: 0.4207, decode.d1.loss_dice: 0.6540, decode.d2.loss_cls: 0.1790, decode.d2.loss_mask: 0.4151, decode.d2.loss_dice: 0.6409, decode.d3.loss_cls: 0.1673, decode.d3.loss_mask: 0.4144, decode.d3.loss_dice: 0.6315, decode.d4.loss_cls: 0.1606, decode.d4.loss_mask: 0.4115, decode.d4.loss_dice: 0.6297, decode.d5.loss_cls: 0.1558, decode.d5.loss_mask: 0.4115, decode.d5.loss_dice: 0.6273, decode.d6.loss_cls: 0.1527, decode.d6.loss_mask: 0.4111, decode.d6.loss_dice: 0.6218, decode.d7.loss_cls: 0.1522, decode.d7.loss_mask: 0.4110, decode.d7.loss_dice: 0.6210, decode.d8.loss_cls: 0.1503, decode.d8.loss_mask: 0.4112, decode.d8.loss_dice: 0.6205, loss: 13.0654, grad_norm: 44.5368 2023-11-12 16:43:05,874 - mmseg - INFO - Iter [129350/160000] lr: 1.916e-05, eta: 4:15:22, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1780, decode.loss_mask: 0.3914, decode.loss_dice: 0.6314, decode.d0.loss_cls: 1.1570, decode.d0.loss_mask: 0.4230, decode.d0.loss_dice: 0.6891, decode.d1.loss_cls: 0.2422, decode.d1.loss_mask: 0.4027, decode.d1.loss_dice: 0.6647, decode.d2.loss_cls: 0.2065, decode.d2.loss_mask: 0.3985, decode.d2.loss_dice: 0.6493, decode.d3.loss_cls: 0.2012, decode.d3.loss_mask: 0.3942, decode.d3.loss_dice: 0.6345, decode.d4.loss_cls: 0.1940, decode.d4.loss_mask: 0.3936, decode.d4.loss_dice: 0.6394, decode.d5.loss_cls: 0.1892, decode.d5.loss_mask: 0.3926, decode.d5.loss_dice: 0.6360, decode.d6.loss_cls: 0.1846, decode.d6.loss_mask: 0.3929, decode.d6.loss_dice: 0.6331, decode.d7.loss_cls: 0.1841, decode.d7.loss_mask: 0.3919, decode.d7.loss_dice: 0.6316, decode.d8.loss_cls: 0.1814, decode.d8.loss_mask: 0.3919, decode.d8.loss_dice: 0.6328, loss: 13.3331, grad_norm: 44.7139 2023-11-12 16:43:29,808 - mmseg - INFO - Iter [129400/160000] lr: 1.913e-05, eta: 4:14:57, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1553, decode.loss_mask: 0.4034, decode.loss_dice: 0.6194, decode.d0.loss_cls: 1.1058, decode.d0.loss_mask: 0.4319, decode.d0.loss_dice: 0.6731, decode.d1.loss_cls: 0.2178, decode.d1.loss_mask: 0.4160, decode.d1.loss_dice: 0.6483, decode.d2.loss_cls: 0.1822, decode.d2.loss_mask: 0.4102, decode.d2.loss_dice: 0.6350, decode.d3.loss_cls: 0.1714, decode.d3.loss_mask: 0.4053, decode.d3.loss_dice: 0.6240, decode.d4.loss_cls: 0.1625, decode.d4.loss_mask: 0.4038, decode.d4.loss_dice: 0.6249, decode.d5.loss_cls: 0.1586, decode.d5.loss_mask: 0.4034, decode.d5.loss_dice: 0.6246, decode.d6.loss_cls: 0.1615, decode.d6.loss_mask: 0.4037, decode.d6.loss_dice: 0.6210, decode.d7.loss_cls: 0.1569, decode.d7.loss_mask: 0.4030, decode.d7.loss_dice: 0.6193, decode.d8.loss_cls: 0.1597, decode.d8.loss_mask: 0.4033, decode.d8.loss_dice: 0.6217, loss: 13.0272, grad_norm: 46.4846 2023-11-12 16:43:53,665 - mmseg - INFO - Iter [129450/160000] lr: 1.909e-05, eta: 4:14:32, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1445, decode.loss_mask: 0.4409, decode.loss_dice: 0.6441, decode.d0.loss_cls: 1.0838, decode.d0.loss_mask: 0.4734, decode.d0.loss_dice: 0.6933, decode.d1.loss_cls: 0.2018, decode.d1.loss_mask: 0.4515, decode.d1.loss_dice: 0.6709, decode.d2.loss_cls: 0.1736, decode.d2.loss_mask: 0.4455, decode.d2.loss_dice: 0.6548, decode.d3.loss_cls: 0.1629, decode.d3.loss_mask: 0.4424, decode.d3.loss_dice: 0.6487, decode.d4.loss_cls: 0.1566, decode.d4.loss_mask: 0.4424, decode.d4.loss_dice: 0.6431, decode.d5.loss_cls: 0.1538, decode.d5.loss_mask: 0.4421, decode.d5.loss_dice: 0.6467, decode.d6.loss_cls: 0.1495, decode.d6.loss_mask: 0.4418, decode.d6.loss_dice: 0.6431, decode.d7.loss_cls: 0.1510, decode.d7.loss_mask: 0.4424, decode.d7.loss_dice: 0.6433, decode.d8.loss_cls: 0.1504, decode.d8.loss_mask: 0.4398, decode.d8.loss_dice: 0.6418, loss: 13.5198, grad_norm: 48.5724 2023-11-12 16:44:17,286 - mmseg - INFO - Iter [129500/160000] lr: 1.906e-05, eta: 4:14:07, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1494, decode.loss_mask: 0.4272, decode.loss_dice: 0.6355, decode.d0.loss_cls: 1.0881, decode.d0.loss_mask: 0.4508, decode.d0.loss_dice: 0.6855, decode.d1.loss_cls: 0.2125, decode.d1.loss_mask: 0.4346, decode.d1.loss_dice: 0.6621, decode.d2.loss_cls: 0.1795, decode.d2.loss_mask: 0.4277, decode.d2.loss_dice: 0.6478, decode.d3.loss_cls: 0.1680, decode.d3.loss_mask: 0.4254, decode.d3.loss_dice: 0.6384, decode.d4.loss_cls: 0.1579, decode.d4.loss_mask: 0.4260, decode.d4.loss_dice: 0.6415, decode.d5.loss_cls: 0.1565, decode.d5.loss_mask: 0.4248, decode.d5.loss_dice: 0.6375, decode.d6.loss_cls: 0.1534, decode.d6.loss_mask: 0.4270, decode.d6.loss_dice: 0.6378, decode.d7.loss_cls: 0.1532, decode.d7.loss_mask: 0.4264, decode.d7.loss_dice: 0.6383, decode.d8.loss_cls: 0.1481, decode.d8.loss_mask: 0.4260, decode.d8.loss_dice: 0.6356, loss: 13.3226, grad_norm: 50.1872 2023-11-12 16:44:40,992 - mmseg - INFO - Iter [129550/160000] lr: 1.903e-05, eta: 4:13:41, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1524, decode.loss_mask: 0.4239, decode.loss_dice: 0.6459, decode.d0.loss_cls: 1.1509, decode.d0.loss_mask: 0.4548, decode.d0.loss_dice: 0.6960, decode.d1.loss_cls: 0.2036, decode.d1.loss_mask: 0.4351, decode.d1.loss_dice: 0.6710, decode.d2.loss_cls: 0.1840, decode.d2.loss_mask: 0.4281, decode.d2.loss_dice: 0.6606, decode.d3.loss_cls: 0.1646, decode.d3.loss_mask: 0.4269, decode.d3.loss_dice: 0.6548, decode.d4.loss_cls: 0.1571, decode.d4.loss_mask: 0.4244, decode.d4.loss_dice: 0.6529, decode.d5.loss_cls: 0.1608, decode.d5.loss_mask: 0.4254, decode.d5.loss_dice: 0.6504, decode.d6.loss_cls: 0.1546, decode.d6.loss_mask: 0.4251, decode.d6.loss_dice: 0.6495, decode.d7.loss_cls: 0.1521, decode.d7.loss_mask: 0.4254, decode.d7.loss_dice: 0.6513, decode.d8.loss_cls: 0.1531, decode.d8.loss_mask: 0.4240, decode.d8.loss_dice: 0.6441, loss: 13.5028, grad_norm: 55.2021 2023-11-12 16:45:04,697 - mmseg - INFO - Iter [129600/160000] lr: 1.900e-05, eta: 4:13:16, time: 0.474, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1512, decode.loss_mask: 0.4155, decode.loss_dice: 0.6292, decode.d0.loss_cls: 1.1124, decode.d0.loss_mask: 0.4472, decode.d0.loss_dice: 0.6856, decode.d1.loss_cls: 0.2133, decode.d1.loss_mask: 0.4248, decode.d1.loss_dice: 0.6597, decode.d2.loss_cls: 0.1777, decode.d2.loss_mask: 0.4201, decode.d2.loss_dice: 0.6454, decode.d3.loss_cls: 0.1654, decode.d3.loss_mask: 0.4169, decode.d3.loss_dice: 0.6319, decode.d4.loss_cls: 0.1586, decode.d4.loss_mask: 0.4179, decode.d4.loss_dice: 0.6343, decode.d5.loss_cls: 0.1565, decode.d5.loss_mask: 0.4165, decode.d5.loss_dice: 0.6350, decode.d6.loss_cls: 0.1536, decode.d6.loss_mask: 0.4160, decode.d6.loss_dice: 0.6307, decode.d7.loss_cls: 0.1493, decode.d7.loss_mask: 0.4162, decode.d7.loss_dice: 0.6304, decode.d8.loss_cls: 0.1485, decode.d8.loss_mask: 0.4171, decode.d8.loss_dice: 0.6340, loss: 13.2111, grad_norm: 41.9405 2023-11-12 16:45:28,259 - mmseg - INFO - Iter [129650/160000] lr: 1.897e-05, eta: 4:12:51, time: 0.471, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1587, decode.loss_mask: 0.4143, decode.loss_dice: 0.6135, decode.d0.loss_cls: 1.1093, decode.d0.loss_mask: 0.4464, decode.d0.loss_dice: 0.6656, decode.d1.loss_cls: 0.2153, decode.d1.loss_mask: 0.4265, decode.d1.loss_dice: 0.6372, decode.d2.loss_cls: 0.1823, decode.d2.loss_mask: 0.4224, decode.d2.loss_dice: 0.6334, decode.d3.loss_cls: 0.1731, decode.d3.loss_mask: 0.4181, decode.d3.loss_dice: 0.6214, decode.d4.loss_cls: 0.1641, decode.d4.loss_mask: 0.4162, decode.d4.loss_dice: 0.6169, decode.d5.loss_cls: 0.1620, decode.d5.loss_mask: 0.4168, decode.d5.loss_dice: 0.6193, decode.d6.loss_cls: 0.1578, decode.d6.loss_mask: 0.4171, decode.d6.loss_dice: 0.6181, decode.d7.loss_cls: 0.1608, decode.d7.loss_mask: 0.4161, decode.d7.loss_dice: 0.6178, decode.d8.loss_cls: 0.1559, decode.d8.loss_mask: 0.4164, decode.d8.loss_dice: 0.6166, loss: 13.1097, grad_norm: 46.3731 2023-11-12 16:45:51,996 - mmseg - INFO - Iter [129700/160000] lr: 1.894e-05, eta: 4:12:25, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1505, decode.loss_mask: 0.4220, decode.loss_dice: 0.6355, decode.d0.loss_cls: 1.1011, decode.d0.loss_mask: 0.4550, decode.d0.loss_dice: 0.6943, decode.d1.loss_cls: 0.2009, decode.d1.loss_mask: 0.4353, decode.d1.loss_dice: 0.6675, decode.d2.loss_cls: 0.1653, decode.d2.loss_mask: 0.4274, decode.d2.loss_dice: 0.6570, decode.d3.loss_cls: 0.1634, decode.d3.loss_mask: 0.4249, decode.d3.loss_dice: 0.6444, decode.d4.loss_cls: 0.1553, decode.d4.loss_mask: 0.4234, decode.d4.loss_dice: 0.6444, decode.d5.loss_cls: 0.1560, decode.d5.loss_mask: 0.4230, decode.d5.loss_dice: 0.6410, decode.d6.loss_cls: 0.1517, decode.d6.loss_mask: 0.4226, decode.d6.loss_dice: 0.6405, decode.d7.loss_cls: 0.1517, decode.d7.loss_mask: 0.4229, decode.d7.loss_dice: 0.6394, decode.d8.loss_cls: 0.1483, decode.d8.loss_mask: 0.4230, decode.d8.loss_dice: 0.6419, loss: 13.3296, grad_norm: 44.4783 2023-11-12 16:46:15,905 - mmseg - INFO - Iter [129750/160000] lr: 1.891e-05, eta: 4:12:00, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1481, decode.loss_mask: 0.4110, decode.loss_dice: 0.6202, decode.d0.loss_cls: 1.1069, decode.d0.loss_mask: 0.4398, decode.d0.loss_dice: 0.6754, decode.d1.loss_cls: 0.2155, decode.d1.loss_mask: 0.4242, decode.d1.loss_dice: 0.6461, decode.d2.loss_cls: 0.1833, decode.d2.loss_mask: 0.4177, decode.d2.loss_dice: 0.6388, decode.d3.loss_cls: 0.1667, decode.d3.loss_mask: 0.4151, decode.d3.loss_dice: 0.6294, decode.d4.loss_cls: 0.1607, decode.d4.loss_mask: 0.4124, decode.d4.loss_dice: 0.6265, decode.d5.loss_cls: 0.1552, decode.d5.loss_mask: 0.4107, decode.d5.loss_dice: 0.6272, decode.d6.loss_cls: 0.1551, decode.d6.loss_mask: 0.4097, decode.d6.loss_dice: 0.6255, decode.d7.loss_cls: 0.1507, decode.d7.loss_mask: 0.4108, decode.d7.loss_dice: 0.6224, decode.d8.loss_cls: 0.1493, decode.d8.loss_mask: 0.4117, decode.d8.loss_dice: 0.6230, loss: 13.0894, grad_norm: 46.4403 2023-11-12 16:46:39,718 - mmseg - INFO - Iter [129800/160000] lr: 1.888e-05, eta: 4:11:35, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1432, decode.loss_mask: 0.4325, decode.loss_dice: 0.6480, decode.d0.loss_cls: 1.0790, decode.d0.loss_mask: 0.4610, decode.d0.loss_dice: 0.6902, decode.d1.loss_cls: 0.1993, decode.d1.loss_mask: 0.4434, decode.d1.loss_dice: 0.6727, decode.d2.loss_cls: 0.1756, decode.d2.loss_mask: 0.4364, decode.d2.loss_dice: 0.6613, decode.d3.loss_cls: 0.1589, decode.d3.loss_mask: 0.4343, decode.d3.loss_dice: 0.6525, decode.d4.loss_cls: 0.1527, decode.d4.loss_mask: 0.4330, decode.d4.loss_dice: 0.6524, decode.d5.loss_cls: 0.1478, decode.d5.loss_mask: 0.4328, decode.d5.loss_dice: 0.6495, decode.d6.loss_cls: 0.1508, decode.d6.loss_mask: 0.4316, decode.d6.loss_dice: 0.6459, decode.d7.loss_cls: 0.1421, decode.d7.loss_mask: 0.4312, decode.d7.loss_dice: 0.6478, decode.d8.loss_cls: 0.1406, decode.d8.loss_mask: 0.4314, decode.d8.loss_dice: 0.6431, loss: 13.4208, grad_norm: 47.9600 2023-11-12 16:47:03,597 - mmseg - INFO - Iter [129850/160000] lr: 1.884e-05, eta: 4:11:10, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1456, decode.loss_mask: 0.4216, decode.loss_dice: 0.6250, decode.d0.loss_cls: 1.0808, decode.d0.loss_mask: 0.4508, decode.d0.loss_dice: 0.6733, decode.d1.loss_cls: 0.2035, decode.d1.loss_mask: 0.4338, decode.d1.loss_dice: 0.6526, decode.d2.loss_cls: 0.1733, decode.d2.loss_mask: 0.4264, decode.d2.loss_dice: 0.6382, decode.d3.loss_cls: 0.1636, decode.d3.loss_mask: 0.4239, decode.d3.loss_dice: 0.6277, decode.d4.loss_cls: 0.1549, decode.d4.loss_mask: 0.4232, decode.d4.loss_dice: 0.6271, decode.d5.loss_cls: 0.1528, decode.d5.loss_mask: 0.4224, decode.d5.loss_dice: 0.6246, decode.d6.loss_cls: 0.1487, decode.d6.loss_mask: 0.4226, decode.d6.loss_dice: 0.6236, decode.d7.loss_cls: 0.1479, decode.d7.loss_mask: 0.4222, decode.d7.loss_dice: 0.6230, decode.d8.loss_cls: 0.1433, decode.d8.loss_mask: 0.4220, decode.d8.loss_dice: 0.6260, loss: 13.1242, grad_norm: 45.7935 2023-11-12 16:47:27,301 - mmseg - INFO - Iter [129900/160000] lr: 1.881e-05, eta: 4:10:44, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1578, decode.loss_mask: 0.4222, decode.loss_dice: 0.6435, decode.d0.loss_cls: 1.1296, decode.d0.loss_mask: 0.4551, decode.d0.loss_dice: 0.7038, decode.d1.loss_cls: 0.2133, decode.d1.loss_mask: 0.4362, decode.d1.loss_dice: 0.6760, decode.d2.loss_cls: 0.1854, decode.d2.loss_mask: 0.4272, decode.d2.loss_dice: 0.6678, decode.d3.loss_cls: 0.1715, decode.d3.loss_mask: 0.4262, decode.d3.loss_dice: 0.6549, decode.d4.loss_cls: 0.1669, decode.d4.loss_mask: 0.4245, decode.d4.loss_dice: 0.6535, decode.d5.loss_cls: 0.1643, decode.d5.loss_mask: 0.4226, decode.d5.loss_dice: 0.6512, decode.d6.loss_cls: 0.1632, decode.d6.loss_mask: 0.4224, decode.d6.loss_dice: 0.6481, decode.d7.loss_cls: 0.1615, decode.d7.loss_mask: 0.4223, decode.d7.loss_dice: 0.6482, decode.d8.loss_cls: 0.1564, decode.d8.loss_mask: 0.4218, decode.d8.loss_dice: 0.6485, loss: 13.5460, grad_norm: 47.7562 2023-11-12 16:47:51,013 - mmseg - INFO - Iter [129950/160000] lr: 1.878e-05, eta: 4:10:19, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1591, decode.loss_mask: 0.4291, decode.loss_dice: 0.6411, decode.d0.loss_cls: 1.1111, decode.d0.loss_mask: 0.4605, decode.d0.loss_dice: 0.6898, decode.d1.loss_cls: 0.2244, decode.d1.loss_mask: 0.4392, decode.d1.loss_dice: 0.6749, decode.d2.loss_cls: 0.1878, decode.d2.loss_mask: 0.4343, decode.d2.loss_dice: 0.6635, decode.d3.loss_cls: 0.1758, decode.d3.loss_mask: 0.4309, decode.d3.loss_dice: 0.6513, decode.d4.loss_cls: 0.1691, decode.d4.loss_mask: 0.4304, decode.d4.loss_dice: 0.6471, decode.d5.loss_cls: 0.1658, decode.d5.loss_mask: 0.4293, decode.d5.loss_dice: 0.6468, decode.d6.loss_cls: 0.1643, decode.d6.loss_mask: 0.4303, decode.d6.loss_dice: 0.6447, decode.d7.loss_cls: 0.1602, decode.d7.loss_mask: 0.4301, decode.d7.loss_dice: 0.6463, decode.d8.loss_cls: 0.1584, decode.d8.loss_mask: 0.4294, decode.d8.loss_dice: 0.6465, loss: 13.5716, grad_norm: 46.9761 2023-11-12 16:48:14,893 - mmseg - INFO - Saving checkpoint at 130000 iterations 2023-11-12 16:48:18,744 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 16:48:18,744 - mmseg - INFO - Iter [130000/160000] lr: 1.875e-05, eta: 4:09:55, time: 0.555, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1638, decode.loss_mask: 0.4167, decode.loss_dice: 0.6398, decode.d0.loss_cls: 1.1295, decode.d0.loss_mask: 0.4454, decode.d0.loss_dice: 0.7002, decode.d1.loss_cls: 0.2181, decode.d1.loss_mask: 0.4286, decode.d1.loss_dice: 0.6721, decode.d2.loss_cls: 0.1957, decode.d2.loss_mask: 0.4216, decode.d2.loss_dice: 0.6516, decode.d3.loss_cls: 0.1878, decode.d3.loss_mask: 0.4174, decode.d3.loss_dice: 0.6421, decode.d4.loss_cls: 0.1765, decode.d4.loss_mask: 0.4170, decode.d4.loss_dice: 0.6412, decode.d5.loss_cls: 0.1729, decode.d5.loss_mask: 0.4171, decode.d5.loss_dice: 0.6460, decode.d6.loss_cls: 0.1678, decode.d6.loss_mask: 0.4171, decode.d6.loss_dice: 0.6381, decode.d7.loss_cls: 0.1674, decode.d7.loss_mask: 0.4157, decode.d7.loss_dice: 0.6390, decode.d8.loss_cls: 0.1647, decode.d8.loss_mask: 0.4162, decode.d8.loss_dice: 0.6410, loss: 13.4683, grad_norm: 50.7823 2023-11-12 16:48:37,892 - mmseg - INFO - per class results: 2023-11-12 16:48:37,901 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.25 | 88.05 | | building | 82.55 | 92.47 | | sky | 94.6 | 97.27 | | floor | 83.94 | 91.11 | | tree | 74.53 | 86.5 | | ceiling | 84.42 | 90.45 | | road | 85.16 | 90.68 | | bed | 90.64 | 95.61 | | windowpane | 64.42 | 81.04 | | grass | 63.18 | 72.69 | | cabinet | 63.35 | 75.15 | | sidewalk | 68.03 | 80.46 | | person | 84.55 | 92.38 | | earth | 40.99 | 59.73 | | door | 51.01 | 70.17 | | table | 68.09 | 81.17 | | mountain | 64.65 | 76.03 | | plant | 52.69 | 68.41 | | curtain | 79.97 | 87.95 | | chair | 61.96 | 74.24 | | car | 84.39 | 92.46 | | water | 62.19 | 77.36 | | painting | 76.68 | 89.03 | | sofa | 71.67 | 85.78 | | shelf | 38.79 | 55.01 | | house | 27.55 | 41.61 | | sea | 76.03 | 90.19 | | mirror | 72.38 | 83.23 | | rug | 66.77 | 80.04 | | field | 26.99 | 52.4 | | armchair | 49.9 | 67.11 | | seat | 59.7 | 82.62 | | fence | 50.63 | 69.29 | | desk | 54.8 | 74.69 | | rock | 50.55 | 76.55 | | wardrobe | 43.57 | 66.09 | | lamp | 72.78 | 84.92 | | bathtub | 81.75 | 89.32 | | railing | 37.55 | 53.74 | | cushion | 64.8 | 75.24 | | base | 34.48 | 59.77 | | box | 29.19 | 37.68 | | column | 52.39 | 63.74 | | signboard | 38.11 | 52.64 | | chest of drawers | 37.31 | 57.76 | | counter | 33.53 | 38.9 | | sand | 34.86 | 47.07 | | sink | 77.08 | 81.49 | | skyscraper | 37.08 | 42.76 | | fireplace | 73.51 | 91.66 | | refrigerator | 78.96 | 83.65 | | grandstand | 39.15 | 75.87 | | path | 26.83 | 42.39 | | stairs | 26.97 | 34.43 | | runway | 77.44 | 92.32 | | case | 56.27 | 71.14 | | pool table | 95.18 | 97.69 | | pillow | 62.95 | 79.13 | | screen door | 67.11 | 80.0 | | stairway | 32.54 | 41.75 | | river | 16.01 | 29.07 | | bridge | 73.85 | 88.42 | | bookcase | 33.08 | 65.17 | | blind | 46.88 | 51.02 | | coffee table | 68.23 | 85.77 | | toilet | 84.22 | 91.56 | | flower | 47.83 | 65.97 | | book | 50.41 | 73.09 | | hill | 3.69 | 11.49 | | bench | 59.78 | 72.1 | | countertop | 60.49 | 80.91 | | stove | 83.49 | 88.47 | | palm | 55.92 | 72.0 | | kitchen island | 48.78 | 83.75 | | computer | 71.47 | 79.56 | | swivel chair | 40.09 | 64.83 | | boat | 46.3 | 50.12 | | bar | 53.29 | 65.34 | | arcade machine | 87.54 | 96.09 | | hovel | 26.94 | 41.22 | | bus | 95.13 | 97.44 | | towel | 66.92 | 81.12 | | light | 62.93 | 72.84 | | truck | 33.71 | 58.34 | | tower | 37.28 | 62.6 | | chandelier | 71.31 | 85.42 | | awning | 33.17 | 46.24 | | streetlight | 44.87 | 62.84 | | booth | 41.27 | 68.07 | | television receiver | 72.86 | 82.18 | | airplane | 66.49 | 74.04 | | dirt track | 24.57 | 53.43 | | apparel | 29.06 | 47.78 | | pole | 33.22 | 53.77 | | land | 4.51 | 9.24 | | bannister | 23.23 | 33.94 | | escalator | 27.57 | 35.37 | | ottoman | 59.88 | 72.74 | | bottle | 28.47 | 33.51 | | buffet | 48.76 | 54.09 | | poster | 24.59 | 35.67 | | stage | 20.51 | 31.59 | | van | 45.91 | 61.59 | | ship | 7.31 | 10.83 | | fountain | 21.28 | 23.47 | | conveyer belt | 71.86 | 94.44 | | canopy | 31.04 | 49.38 | | washer | 71.47 | 73.65 | | plaything | 37.49 | 65.52 | | swimming pool | 37.35 | 37.52 | | stool | 46.49 | 70.07 | | barrel | 89.42 | 97.85 | | basket | 33.91 | 43.02 | | waterfall | 65.1 | 91.74 | | tent | 96.06 | 98.0 | | bag | 17.8 | 21.46 | | minibike | 73.52 | 90.35 | | cradle | 85.37 | 97.51 | | oven | 55.78 | 66.83 | | ball | 57.47 | 68.44 | | food | 54.82 | 64.74 | | step | 16.64 | 21.03 | | tank | 63.06 | 66.24 | | trade name | 32.61 | 39.99 | | microwave | 85.31 | 93.97 | | pot | 49.63 | 55.99 | | animal | 54.8 | 55.94 | | bicycle | 54.99 | 73.41 | | lake | 57.73 | 63.59 | | dishwasher | 79.86 | 86.32 | | screen | 58.85 | 87.2 | | blanket | 25.83 | 32.95 | | sculpture | 67.81 | 87.76 | | hood | 69.42 | 75.82 | | sconce | 54.45 | 67.15 | | vase | 53.47 | 67.61 | | traffic light | 43.27 | 60.86 | | tray | 16.53 | 30.06 | | ashcan | 54.21 | 69.03 | | fan | 72.21 | 84.44 | | pier | 23.44 | 29.31 | | crt screen | 2.75 | 7.7 | | plate | 58.98 | 72.73 | | monitor | 10.74 | 14.1 | | bulletin board | 57.35 | 79.24 | | shower | 10.02 | 20.66 | | radiator | 71.24 | 85.82 | | glass | 19.98 | 21.44 | | clock | 57.38 | 68.93 | | flag | 45.56 | 52.09 | +---------------------+-------+-------+ 2023-11-12 16:48:37,901 - mmseg - INFO - Summary: 2023-11-12 16:48:37,901 - mmseg - INFO - +------+------+-------+ | aAcc | mIoU | mAcc | +------+------+-------+ | 84.0 | 53.3 | 66.11 | +------+------+-------+ 2023-11-12 16:48:37,902 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 16:48:37,903 - mmseg - INFO - Iter(val) [250] aAcc: 0.8400, mIoU: 0.5330, mAcc: 0.6611, IoU.wall: 0.7925, IoU.building: 0.8255, IoU.sky: 0.9460, IoU.floor: 0.8394, IoU.tree: 0.7453, IoU.ceiling: 0.8442, IoU.road: 0.8516, IoU.bed : 0.9064, IoU.windowpane: 0.6442, IoU.grass: 0.6318, IoU.cabinet: 0.6335, IoU.sidewalk: 0.6803, IoU.person: 0.8455, IoU.earth: 0.4099, IoU.door: 0.5101, IoU.table: 0.6809, IoU.mountain: 0.6465, IoU.plant: 0.5269, IoU.curtain: 0.7997, IoU.chair: 0.6196, IoU.car: 0.8439, IoU.water: 0.6219, IoU.painting: 0.7668, IoU.sofa: 0.7167, IoU.shelf: 0.3879, IoU.house: 0.2755, IoU.sea: 0.7603, IoU.mirror: 0.7238, IoU.rug: 0.6677, IoU.field: 0.2699, IoU.armchair: 0.4990, IoU.seat: 0.5970, IoU.fence: 0.5063, IoU.desk: 0.5480, IoU.rock: 0.5055, IoU.wardrobe: 0.4357, IoU.lamp: 0.7278, IoU.bathtub: 0.8175, IoU.railing: 0.3755, IoU.cushion: 0.6480, IoU.base: 0.3448, IoU.box: 0.2919, IoU.column: 0.5239, IoU.signboard: 0.3811, IoU.chest of drawers: 0.3731, IoU.counter: 0.3353, IoU.sand: 0.3486, IoU.sink: 0.7708, IoU.skyscraper: 0.3708, IoU.fireplace: 0.7351, IoU.refrigerator: 0.7896, IoU.grandstand: 0.3915, IoU.path: 0.2683, IoU.stairs: 0.2697, IoU.runway: 0.7744, IoU.case: 0.5627, IoU.pool table: 0.9518, IoU.pillow: 0.6295, IoU.screen door: 0.6711, IoU.stairway: 0.3254, IoU.river: 0.1601, IoU.bridge: 0.7385, IoU.bookcase: 0.3308, IoU.blind: 0.4688, IoU.coffee table: 0.6823, IoU.toilet: 0.8422, IoU.flower: 0.4783, IoU.book: 0.5041, IoU.hill: 0.0369, IoU.bench: 0.5978, IoU.countertop: 0.6049, IoU.stove: 0.8349, IoU.palm: 0.5592, IoU.kitchen island: 0.4878, IoU.computer: 0.7147, IoU.swivel chair: 0.4009, IoU.boat: 0.4630, IoU.bar: 0.5329, IoU.arcade machine: 0.8754, IoU.hovel: 0.2694, IoU.bus: 0.9513, IoU.towel: 0.6692, IoU.light: 0.6293, IoU.truck: 0.3371, IoU.tower: 0.3728, IoU.chandelier: 0.7131, IoU.awning: 0.3317, IoU.streetlight: 0.4487, IoU.booth: 0.4127, IoU.television receiver: 0.7286, IoU.airplane: 0.6649, IoU.dirt track: 0.2457, IoU.apparel: 0.2906, IoU.pole: 0.3322, IoU.land: 0.0451, IoU.bannister: 0.2323, IoU.escalator: 0.2757, IoU.ottoman: 0.5988, IoU.bottle: 0.2847, IoU.buffet: 0.4876, IoU.poster: 0.2459, IoU.stage: 0.2051, IoU.van: 0.4591, IoU.ship: 0.0731, IoU.fountain: 0.2128, IoU.conveyer belt: 0.7186, IoU.canopy: 0.3104, IoU.washer: 0.7147, IoU.plaything: 0.3749, IoU.swimming pool: 0.3735, IoU.stool: 0.4649, IoU.barrel: 0.8942, IoU.basket: 0.3391, IoU.waterfall: 0.6510, IoU.tent: 0.9606, IoU.bag: 0.1780, IoU.minibike: 0.7352, IoU.cradle: 0.8537, IoU.oven: 0.5578, IoU.ball: 0.5747, IoU.food: 0.5482, IoU.step: 0.1664, IoU.tank: 0.6306, IoU.trade name: 0.3261, IoU.microwave: 0.8531, IoU.pot: 0.4963, IoU.animal: 0.5480, IoU.bicycle: 0.5499, IoU.lake: 0.5773, IoU.dishwasher: 0.7986, IoU.screen: 0.5885, IoU.blanket: 0.2583, IoU.sculpture: 0.6781, IoU.hood: 0.6942, IoU.sconce: 0.5445, IoU.vase: 0.5347, IoU.traffic light: 0.4327, IoU.tray: 0.1653, IoU.ashcan: 0.5421, IoU.fan: 0.7221, IoU.pier: 0.2344, IoU.crt screen: 0.0275, IoU.plate: 0.5898, IoU.monitor: 0.1074, IoU.bulletin board: 0.5735, IoU.shower: 0.1002, IoU.radiator: 0.7124, IoU.glass: 0.1998, IoU.clock: 0.5738, IoU.flag: 0.4556, Acc.wall: 0.8805, Acc.building: 0.9247, Acc.sky: 0.9727, Acc.floor: 0.9111, Acc.tree: 0.8650, Acc.ceiling: 0.9045, Acc.road: 0.9068, Acc.bed : 0.9561, Acc.windowpane: 0.8104, Acc.grass: 0.7269, Acc.cabinet: 0.7515, Acc.sidewalk: 0.8046, Acc.person: 0.9238, Acc.earth: 0.5973, Acc.door: 0.7017, Acc.table: 0.8117, Acc.mountain: 0.7603, Acc.plant: 0.6841, Acc.curtain: 0.8795, Acc.chair: 0.7424, Acc.car: 0.9246, Acc.water: 0.7736, Acc.painting: 0.8903, Acc.sofa: 0.8578, Acc.shelf: 0.5501, Acc.house: 0.4161, Acc.sea: 0.9019, Acc.mirror: 0.8323, Acc.rug: 0.8004, Acc.field: 0.5240, Acc.armchair: 0.6711, Acc.seat: 0.8262, Acc.fence: 0.6929, Acc.desk: 0.7469, Acc.rock: 0.7655, Acc.wardrobe: 0.6609, Acc.lamp: 0.8492, Acc.bathtub: 0.8932, Acc.railing: 0.5374, Acc.cushion: 0.7524, Acc.base: 0.5977, Acc.box: 0.3768, Acc.column: 0.6374, Acc.signboard: 0.5264, Acc.chest of drawers: 0.5776, Acc.counter: 0.3890, Acc.sand: 0.4707, Acc.sink: 0.8149, Acc.skyscraper: 0.4276, Acc.fireplace: 0.9166, Acc.refrigerator: 0.8365, Acc.grandstand: 0.7587, Acc.path: 0.4239, Acc.stairs: 0.3443, Acc.runway: 0.9232, Acc.case: 0.7114, Acc.pool table: 0.9769, Acc.pillow: 0.7913, Acc.screen door: 0.8000, Acc.stairway: 0.4175, Acc.river: 0.2907, Acc.bridge: 0.8842, Acc.bookcase: 0.6517, Acc.blind: 0.5102, Acc.coffee table: 0.8577, Acc.toilet: 0.9156, Acc.flower: 0.6597, Acc.book: 0.7309, Acc.hill: 0.1149, Acc.bench: 0.7210, Acc.countertop: 0.8091, Acc.stove: 0.8847, Acc.palm: 0.7200, Acc.kitchen island: 0.8375, Acc.computer: 0.7956, Acc.swivel chair: 0.6483, Acc.boat: 0.5012, Acc.bar: 0.6534, Acc.arcade machine: 0.9609, Acc.hovel: 0.4122, Acc.bus: 0.9744, Acc.towel: 0.8112, Acc.light: 0.7284, Acc.truck: 0.5834, Acc.tower: 0.6260, Acc.chandelier: 0.8542, Acc.awning: 0.4624, Acc.streetlight: 0.6284, Acc.booth: 0.6807, Acc.television receiver: 0.8218, Acc.airplane: 0.7404, Acc.dirt track: 0.5343, Acc.apparel: 0.4778, Acc.pole: 0.5377, Acc.land: 0.0924, Acc.bannister: 0.3394, Acc.escalator: 0.3537, Acc.ottoman: 0.7274, Acc.bottle: 0.3351, Acc.buffet: 0.5409, Acc.poster: 0.3567, Acc.stage: 0.3159, Acc.van: 0.6159, Acc.ship: 0.1083, Acc.fountain: 0.2347, Acc.conveyer belt: 0.9444, Acc.canopy: 0.4938, Acc.washer: 0.7365, Acc.plaything: 0.6552, Acc.swimming pool: 0.3752, Acc.stool: 0.7007, Acc.barrel: 0.9785, Acc.basket: 0.4302, Acc.waterfall: 0.9174, Acc.tent: 0.9800, Acc.bag: 0.2146, Acc.minibike: 0.9035, Acc.cradle: 0.9751, Acc.oven: 0.6683, Acc.ball: 0.6844, Acc.food: 0.6474, Acc.step: 0.2103, Acc.tank: 0.6624, Acc.trade name: 0.3999, Acc.microwave: 0.9397, Acc.pot: 0.5599, Acc.animal: 0.5594, Acc.bicycle: 0.7341, Acc.lake: 0.6359, Acc.dishwasher: 0.8632, Acc.screen: 0.8720, Acc.blanket: 0.3295, Acc.sculpture: 0.8776, Acc.hood: 0.7582, Acc.sconce: 0.6715, Acc.vase: 0.6761, Acc.traffic light: 0.6086, Acc.tray: 0.3006, Acc.ashcan: 0.6903, Acc.fan: 0.8444, Acc.pier: 0.2931, Acc.crt screen: 0.0770, Acc.plate: 0.7273, Acc.monitor: 0.1410, Acc.bulletin board: 0.7924, Acc.shower: 0.2066, Acc.radiator: 0.8582, Acc.glass: 0.2144, Acc.clock: 0.6893, Acc.flag: 0.5209 2023-11-12 16:49:01,650 - mmseg - INFO - Iter [130050/160000] lr: 1.872e-05, eta: 4:09:34, time: 0.858, data_time: 0.395, memory: 41146, decode.loss_cls: 0.1481, decode.loss_mask: 0.4172, decode.loss_dice: 0.6283, decode.d0.loss_cls: 1.1124, decode.d0.loss_mask: 0.4485, decode.d0.loss_dice: 0.6852, decode.d1.loss_cls: 0.2197, decode.d1.loss_mask: 0.4282, decode.d1.loss_dice: 0.6579, decode.d2.loss_cls: 0.1767, decode.d2.loss_mask: 0.4238, decode.d2.loss_dice: 0.6436, decode.d3.loss_cls: 0.1678, decode.d3.loss_mask: 0.4195, decode.d3.loss_dice: 0.6302, decode.d4.loss_cls: 0.1596, decode.d4.loss_mask: 0.4175, decode.d4.loss_dice: 0.6342, decode.d5.loss_cls: 0.1536, decode.d5.loss_mask: 0.4178, decode.d5.loss_dice: 0.6346, decode.d6.loss_cls: 0.1508, decode.d6.loss_mask: 0.4179, decode.d6.loss_dice: 0.6328, decode.d7.loss_cls: 0.1427, decode.d7.loss_mask: 0.4184, decode.d7.loss_dice: 0.6297, decode.d8.loss_cls: 0.1458, decode.d8.loss_mask: 0.4176, decode.d8.loss_dice: 0.6326, loss: 13.2126, grad_norm: 45.7917 2023-11-12 16:49:27,484 - mmseg - INFO - Iter [130100/160000] lr: 1.869e-05, eta: 4:09:09, time: 0.517, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1433, decode.loss_mask: 0.4133, decode.loss_dice: 0.6452, decode.d0.loss_cls: 1.1115, decode.d0.loss_mask: 0.4454, decode.d0.loss_dice: 0.7001, decode.d1.loss_cls: 0.1998, decode.d1.loss_mask: 0.4253, decode.d1.loss_dice: 0.6678, decode.d2.loss_cls: 0.1747, decode.d2.loss_mask: 0.4190, decode.d2.loss_dice: 0.6586, decode.d3.loss_cls: 0.1628, decode.d3.loss_mask: 0.4150, decode.d3.loss_dice: 0.6466, decode.d4.loss_cls: 0.1545, decode.d4.loss_mask: 0.4140, decode.d4.loss_dice: 0.6462, decode.d5.loss_cls: 0.1504, decode.d5.loss_mask: 0.4141, decode.d5.loss_dice: 0.6445, decode.d6.loss_cls: 0.1516, decode.d6.loss_mask: 0.4136, decode.d6.loss_dice: 0.6429, decode.d7.loss_cls: 0.1435, decode.d7.loss_mask: 0.4135, decode.d7.loss_dice: 0.6448, decode.d8.loss_cls: 0.1435, decode.d8.loss_mask: 0.4126, decode.d8.loss_dice: 0.6403, loss: 13.2585, grad_norm: 44.2615 2023-11-12 16:49:51,257 - mmseg - INFO - Iter [130150/160000] lr: 1.866e-05, eta: 4:08:44, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1365, decode.loss_mask: 0.4335, decode.loss_dice: 0.6417, decode.d0.loss_cls: 1.0708, decode.d0.loss_mask: 0.4592, decode.d0.loss_dice: 0.6969, decode.d1.loss_cls: 0.1901, decode.d1.loss_mask: 0.4458, decode.d1.loss_dice: 0.6688, decode.d2.loss_cls: 0.1608, decode.d2.loss_mask: 0.4372, decode.d2.loss_dice: 0.6589, decode.d3.loss_cls: 0.1490, decode.d3.loss_mask: 0.4344, decode.d3.loss_dice: 0.6477, decode.d4.loss_cls: 0.1413, decode.d4.loss_mask: 0.4333, decode.d4.loss_dice: 0.6473, decode.d5.loss_cls: 0.1397, decode.d5.loss_mask: 0.4337, decode.d5.loss_dice: 0.6519, decode.d6.loss_cls: 0.1396, decode.d6.loss_mask: 0.4335, decode.d6.loss_dice: 0.6428, decode.d7.loss_cls: 0.1384, decode.d7.loss_mask: 0.4338, decode.d7.loss_dice: 0.6448, decode.d8.loss_cls: 0.1371, decode.d8.loss_mask: 0.4346, decode.d8.loss_dice: 0.6430, loss: 13.3263, grad_norm: 47.1793 2023-11-12 16:50:15,263 - mmseg - INFO - Iter [130200/160000] lr: 1.863e-05, eta: 4:08:18, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1417, decode.loss_mask: 0.4158, decode.loss_dice: 0.6247, decode.d0.loss_cls: 1.0690, decode.d0.loss_mask: 0.4437, decode.d0.loss_dice: 0.6774, decode.d1.loss_cls: 0.2000, decode.d1.loss_mask: 0.4264, decode.d1.loss_dice: 0.6507, decode.d2.loss_cls: 0.1675, decode.d2.loss_mask: 0.4211, decode.d2.loss_dice: 0.6392, decode.d3.loss_cls: 0.1588, decode.d3.loss_mask: 0.4172, decode.d3.loss_dice: 0.6332, decode.d4.loss_cls: 0.1487, decode.d4.loss_mask: 0.4174, decode.d4.loss_dice: 0.6350, decode.d5.loss_cls: 0.1425, decode.d5.loss_mask: 0.4165, decode.d5.loss_dice: 0.6305, decode.d6.loss_cls: 0.1424, decode.d6.loss_mask: 0.4174, decode.d6.loss_dice: 0.6290, decode.d7.loss_cls: 0.1385, decode.d7.loss_mask: 0.4166, decode.d7.loss_dice: 0.6266, decode.d8.loss_cls: 0.1403, decode.d8.loss_mask: 0.4168, decode.d8.loss_dice: 0.6287, loss: 13.0333, grad_norm: 49.0046 2023-11-12 16:50:39,120 - mmseg - INFO - Iter [130250/160000] lr: 1.859e-05, eta: 4:07:53, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1437, decode.loss_mask: 0.4166, decode.loss_dice: 0.6327, decode.d0.loss_cls: 1.1077, decode.d0.loss_mask: 0.4458, decode.d0.loss_dice: 0.6847, decode.d1.loss_cls: 0.2068, decode.d1.loss_mask: 0.4271, decode.d1.loss_dice: 0.6651, decode.d2.loss_cls: 0.1818, decode.d2.loss_mask: 0.4197, decode.d2.loss_dice: 0.6490, decode.d3.loss_cls: 0.1668, decode.d3.loss_mask: 0.4185, decode.d3.loss_dice: 0.6391, decode.d4.loss_cls: 0.1584, decode.d4.loss_mask: 0.4174, decode.d4.loss_dice: 0.6375, decode.d5.loss_cls: 0.1533, decode.d5.loss_mask: 0.4165, decode.d5.loss_dice: 0.6372, decode.d6.loss_cls: 0.1541, decode.d6.loss_mask: 0.4162, decode.d6.loss_dice: 0.6356, decode.d7.loss_cls: 0.1478, decode.d7.loss_mask: 0.4166, decode.d7.loss_dice: 0.6328, decode.d8.loss_cls: 0.1438, decode.d8.loss_mask: 0.4167, decode.d8.loss_dice: 0.6344, loss: 13.2233, grad_norm: 45.8593 2023-11-12 16:51:02,990 - mmseg - INFO - Iter [130300/160000] lr: 1.856e-05, eta: 4:07:28, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1414, decode.loss_mask: 0.4160, decode.loss_dice: 0.6205, decode.d0.loss_cls: 1.0842, decode.d0.loss_mask: 0.4470, decode.d0.loss_dice: 0.6742, decode.d1.loss_cls: 0.1976, decode.d1.loss_mask: 0.4282, decode.d1.loss_dice: 0.6492, decode.d2.loss_cls: 0.1648, decode.d2.loss_mask: 0.4230, decode.d2.loss_dice: 0.6375, decode.d3.loss_cls: 0.1555, decode.d3.loss_mask: 0.4185, decode.d3.loss_dice: 0.6262, decode.d4.loss_cls: 0.1457, decode.d4.loss_mask: 0.4172, decode.d4.loss_dice: 0.6253, decode.d5.loss_cls: 0.1423, decode.d5.loss_mask: 0.4168, decode.d5.loss_dice: 0.6243, decode.d6.loss_cls: 0.1448, decode.d6.loss_mask: 0.4159, decode.d6.loss_dice: 0.6217, decode.d7.loss_cls: 0.1406, decode.d7.loss_mask: 0.4154, decode.d7.loss_dice: 0.6229, decode.d8.loss_cls: 0.1420, decode.d8.loss_mask: 0.4160, decode.d8.loss_dice: 0.6239, loss: 12.9985, grad_norm: 43.7857 2023-11-12 16:51:26,727 - mmseg - INFO - Iter [130350/160000] lr: 1.853e-05, eta: 4:07:03, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1460, decode.loss_mask: 0.4107, decode.loss_dice: 0.6297, decode.d0.loss_cls: 1.0939, decode.d0.loss_mask: 0.4416, decode.d0.loss_dice: 0.6801, decode.d1.loss_cls: 0.2136, decode.d1.loss_mask: 0.4227, decode.d1.loss_dice: 0.6558, decode.d2.loss_cls: 0.1801, decode.d2.loss_mask: 0.4145, decode.d2.loss_dice: 0.6375, decode.d3.loss_cls: 0.1680, decode.d3.loss_mask: 0.4120, decode.d3.loss_dice: 0.6312, decode.d4.loss_cls: 0.1569, decode.d4.loss_mask: 0.4122, decode.d4.loss_dice: 0.6305, decode.d5.loss_cls: 0.1558, decode.d5.loss_mask: 0.4103, decode.d5.loss_dice: 0.6327, decode.d6.loss_cls: 0.1530, decode.d6.loss_mask: 0.4097, decode.d6.loss_dice: 0.6292, decode.d7.loss_cls: 0.1542, decode.d7.loss_mask: 0.4094, decode.d7.loss_dice: 0.6292, decode.d8.loss_cls: 0.1490, decode.d8.loss_mask: 0.4094, decode.d8.loss_dice: 0.6292, loss: 13.1080, grad_norm: 48.1864 2023-11-12 16:51:50,348 - mmseg - INFO - Iter [130400/160000] lr: 1.850e-05, eta: 4:06:37, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1465, decode.loss_mask: 0.4035, decode.loss_dice: 0.6220, decode.d0.loss_cls: 1.1376, decode.d0.loss_mask: 0.4366, decode.d0.loss_dice: 0.6734, decode.d1.loss_cls: 0.2079, decode.d1.loss_mask: 0.4160, decode.d1.loss_dice: 0.6513, decode.d2.loss_cls: 0.1794, decode.d2.loss_mask: 0.4081, decode.d2.loss_dice: 0.6390, decode.d3.loss_cls: 0.1643, decode.d3.loss_mask: 0.4047, decode.d3.loss_dice: 0.6277, decode.d4.loss_cls: 0.1589, decode.d4.loss_mask: 0.4040, decode.d4.loss_dice: 0.6231, decode.d5.loss_cls: 0.1523, decode.d5.loss_mask: 0.4029, decode.d5.loss_dice: 0.6262, decode.d6.loss_cls: 0.1541, decode.d6.loss_mask: 0.4025, decode.d6.loss_dice: 0.6190, decode.d7.loss_cls: 0.1489, decode.d7.loss_mask: 0.4014, decode.d7.loss_dice: 0.6212, decode.d8.loss_cls: 0.1462, decode.d8.loss_mask: 0.4028, decode.d8.loss_dice: 0.6176, loss: 12.9990, grad_norm: 43.7498 2023-11-12 16:52:14,279 - mmseg - INFO - Iter [130450/160000] lr: 1.847e-05, eta: 4:06:12, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1423, decode.loss_mask: 0.4393, decode.loss_dice: 0.6466, decode.d0.loss_cls: 1.0931, decode.d0.loss_mask: 0.4676, decode.d0.loss_dice: 0.7016, decode.d1.loss_cls: 0.2027, decode.d1.loss_mask: 0.4476, decode.d1.loss_dice: 0.6812, decode.d2.loss_cls: 0.1776, decode.d2.loss_mask: 0.4420, decode.d2.loss_dice: 0.6652, decode.d3.loss_cls: 0.1640, decode.d3.loss_mask: 0.4393, decode.d3.loss_dice: 0.6527, decode.d4.loss_cls: 0.1590, decode.d4.loss_mask: 0.4388, decode.d4.loss_dice: 0.6531, decode.d5.loss_cls: 0.1494, decode.d5.loss_mask: 0.4386, decode.d5.loss_dice: 0.6526, decode.d6.loss_cls: 0.1517, decode.d6.loss_mask: 0.4378, decode.d6.loss_dice: 0.6506, decode.d7.loss_cls: 0.1457, decode.d7.loss_mask: 0.4384, decode.d7.loss_dice: 0.6492, decode.d8.loss_cls: 0.1447, decode.d8.loss_mask: 0.4390, decode.d8.loss_dice: 0.6518, loss: 13.5632, grad_norm: 44.9642 2023-11-12 16:52:37,907 - mmseg - INFO - Iter [130500/160000] lr: 1.844e-05, eta: 4:05:47, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1453, decode.loss_mask: 0.4197, decode.loss_dice: 0.6245, decode.d0.loss_cls: 1.0801, decode.d0.loss_mask: 0.4496, decode.d0.loss_dice: 0.6780, decode.d1.loss_cls: 0.2010, decode.d1.loss_mask: 0.4284, decode.d1.loss_dice: 0.6522, decode.d2.loss_cls: 0.1695, decode.d2.loss_mask: 0.4244, decode.d2.loss_dice: 0.6355, decode.d3.loss_cls: 0.1558, decode.d3.loss_mask: 0.4213, decode.d3.loss_dice: 0.6281, decode.d4.loss_cls: 0.1528, decode.d4.loss_mask: 0.4207, decode.d4.loss_dice: 0.6297, decode.d5.loss_cls: 0.1457, decode.d5.loss_mask: 0.4202, decode.d5.loss_dice: 0.6304, decode.d6.loss_cls: 0.1435, decode.d6.loss_mask: 0.4205, decode.d6.loss_dice: 0.6272, decode.d7.loss_cls: 0.1424, decode.d7.loss_mask: 0.4202, decode.d7.loss_dice: 0.6247, decode.d8.loss_cls: 0.1410, decode.d8.loss_mask: 0.4202, decode.d8.loss_dice: 0.6306, loss: 13.0832, grad_norm: 46.5474 2023-11-12 16:53:01,728 - mmseg - INFO - Iter [130550/160000] lr: 1.841e-05, eta: 4:05:22, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1506, decode.loss_mask: 0.4047, decode.loss_dice: 0.6178, decode.d0.loss_cls: 1.1097, decode.d0.loss_mask: 0.4342, decode.d0.loss_dice: 0.6646, decode.d1.loss_cls: 0.2125, decode.d1.loss_mask: 0.4172, decode.d1.loss_dice: 0.6455, decode.d2.loss_cls: 0.1818, decode.d2.loss_mask: 0.4122, decode.d2.loss_dice: 0.6307, decode.d3.loss_cls: 0.1687, decode.d3.loss_mask: 0.4073, decode.d3.loss_dice: 0.6181, decode.d4.loss_cls: 0.1621, decode.d4.loss_mask: 0.4050, decode.d4.loss_dice: 0.6194, decode.d5.loss_cls: 0.1545, decode.d5.loss_mask: 0.4060, decode.d5.loss_dice: 0.6224, decode.d6.loss_cls: 0.1523, decode.d6.loss_mask: 0.4064, decode.d6.loss_dice: 0.6189, decode.d7.loss_cls: 0.1534, decode.d7.loss_mask: 0.4057, decode.d7.loss_dice: 0.6157, decode.d8.loss_cls: 0.1519, decode.d8.loss_mask: 0.4056, decode.d8.loss_dice: 0.6160, loss: 12.9710, grad_norm: 45.7911 2023-11-12 16:53:25,705 - mmseg - INFO - Iter [130600/160000] lr: 1.838e-05, eta: 4:04:56, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1423, decode.loss_mask: 0.4194, decode.loss_dice: 0.6402, decode.d0.loss_cls: 1.0971, decode.d0.loss_mask: 0.4510, decode.d0.loss_dice: 0.6921, decode.d1.loss_cls: 0.2097, decode.d1.loss_mask: 0.4310, decode.d1.loss_dice: 0.6659, decode.d2.loss_cls: 0.1775, decode.d2.loss_mask: 0.4217, decode.d2.loss_dice: 0.6523, decode.d3.loss_cls: 0.1628, decode.d3.loss_mask: 0.4201, decode.d3.loss_dice: 0.6371, decode.d4.loss_cls: 0.1539, decode.d4.loss_mask: 0.4185, decode.d4.loss_dice: 0.6380, decode.d5.loss_cls: 0.1528, decode.d5.loss_mask: 0.4170, decode.d5.loss_dice: 0.6335, decode.d6.loss_cls: 0.1459, decode.d6.loss_mask: 0.4164, decode.d6.loss_dice: 0.6345, decode.d7.loss_cls: 0.1453, decode.d7.loss_mask: 0.4177, decode.d7.loss_dice: 0.6351, decode.d8.loss_cls: 0.1470, decode.d8.loss_mask: 0.4172, decode.d8.loss_dice: 0.6363, loss: 13.2293, grad_norm: 46.0908 2023-11-12 16:53:49,458 - mmseg - INFO - Iter [130650/160000] lr: 1.834e-05, eta: 4:04:31, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1381, decode.loss_mask: 0.4143, decode.loss_dice: 0.6371, decode.d0.loss_cls: 1.0929, decode.d0.loss_mask: 0.4478, decode.d0.loss_dice: 0.6904, decode.d1.loss_cls: 0.2068, decode.d1.loss_mask: 0.4244, decode.d1.loss_dice: 0.6580, decode.d2.loss_cls: 0.1713, decode.d2.loss_mask: 0.4190, decode.d2.loss_dice: 0.6483, decode.d3.loss_cls: 0.1634, decode.d3.loss_mask: 0.4164, decode.d3.loss_dice: 0.6381, decode.d4.loss_cls: 0.1518, decode.d4.loss_mask: 0.4170, decode.d4.loss_dice: 0.6408, decode.d5.loss_cls: 0.1495, decode.d5.loss_mask: 0.4160, decode.d5.loss_dice: 0.6411, decode.d6.loss_cls: 0.1467, decode.d6.loss_mask: 0.4151, decode.d6.loss_dice: 0.6363, decode.d7.loss_cls: 0.1415, decode.d7.loss_mask: 0.4139, decode.d7.loss_dice: 0.6364, decode.d8.loss_cls: 0.1380, decode.d8.loss_mask: 0.4142, decode.d8.loss_dice: 0.6387, loss: 13.1634, grad_norm: 46.2208 2023-11-12 16:54:13,475 - mmseg - INFO - Iter [130700/160000] lr: 1.831e-05, eta: 4:04:06, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1653, decode.loss_mask: 0.4053, decode.loss_dice: 0.6295, decode.d0.loss_cls: 1.1466, decode.d0.loss_mask: 0.4338, decode.d0.loss_dice: 0.6851, decode.d1.loss_cls: 0.2232, decode.d1.loss_mask: 0.4145, decode.d1.loss_dice: 0.6493, decode.d2.loss_cls: 0.1942, decode.d2.loss_mask: 0.4089, decode.d2.loss_dice: 0.6401, decode.d3.loss_cls: 0.1788, decode.d3.loss_mask: 0.4083, decode.d3.loss_dice: 0.6348, decode.d4.loss_cls: 0.1716, decode.d4.loss_mask: 0.4064, decode.d4.loss_dice: 0.6323, decode.d5.loss_cls: 0.1746, decode.d5.loss_mask: 0.4061, decode.d5.loss_dice: 0.6292, decode.d6.loss_cls: 0.1761, decode.d6.loss_mask: 0.4050, decode.d6.loss_dice: 0.6250, decode.d7.loss_cls: 0.1727, decode.d7.loss_mask: 0.4059, decode.d7.loss_dice: 0.6314, decode.d8.loss_cls: 0.1718, decode.d8.loss_mask: 0.4047, decode.d8.loss_dice: 0.6281, loss: 13.2586, grad_norm: 49.9868 2023-11-12 16:54:36,992 - mmseg - INFO - Iter [130750/160000] lr: 1.828e-05, eta: 4:03:41, time: 0.470, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1579, decode.loss_mask: 0.4202, decode.loss_dice: 0.6280, decode.d0.loss_cls: 1.1213, decode.d0.loss_mask: 0.4539, decode.d0.loss_dice: 0.6876, decode.d1.loss_cls: 0.2159, decode.d1.loss_mask: 0.4334, decode.d1.loss_dice: 0.6578, decode.d2.loss_cls: 0.1834, decode.d2.loss_mask: 0.4267, decode.d2.loss_dice: 0.6415, decode.d3.loss_cls: 0.1714, decode.d3.loss_mask: 0.4244, decode.d3.loss_dice: 0.6332, decode.d4.loss_cls: 0.1656, decode.d4.loss_mask: 0.4220, decode.d4.loss_dice: 0.6325, decode.d5.loss_cls: 0.1610, decode.d5.loss_mask: 0.4222, decode.d5.loss_dice: 0.6344, decode.d6.loss_cls: 0.1568, decode.d6.loss_mask: 0.4224, decode.d6.loss_dice: 0.6298, decode.d7.loss_cls: 0.1600, decode.d7.loss_mask: 0.4208, decode.d7.loss_dice: 0.6321, decode.d8.loss_cls: 0.1557, decode.d8.loss_mask: 0.4206, decode.d8.loss_dice: 0.6305, loss: 13.3231, grad_norm: 46.1716 2023-11-12 16:55:00,650 - mmseg - INFO - Iter [130800/160000] lr: 1.825e-05, eta: 4:03:15, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1585, decode.loss_mask: 0.4042, decode.loss_dice: 0.6390, decode.d0.loss_cls: 1.1541, decode.d0.loss_mask: 0.4340, decode.d0.loss_dice: 0.6961, decode.d1.loss_cls: 0.2123, decode.d1.loss_mask: 0.4155, decode.d1.loss_dice: 0.6693, decode.d2.loss_cls: 0.1791, decode.d2.loss_mask: 0.4123, decode.d2.loss_dice: 0.6584, decode.d3.loss_cls: 0.1716, decode.d3.loss_mask: 0.4094, decode.d3.loss_dice: 0.6434, decode.d4.loss_cls: 0.1674, decode.d4.loss_mask: 0.4083, decode.d4.loss_dice: 0.6436, decode.d5.loss_cls: 0.1629, decode.d5.loss_mask: 0.4077, decode.d5.loss_dice: 0.6429, decode.d6.loss_cls: 0.1594, decode.d6.loss_mask: 0.4062, decode.d6.loss_dice: 0.6404, decode.d7.loss_cls: 0.1579, decode.d7.loss_mask: 0.4058, decode.d7.loss_dice: 0.6421, decode.d8.loss_cls: 0.1588, decode.d8.loss_mask: 0.4048, decode.d8.loss_dice: 0.6421, loss: 13.3075, grad_norm: 45.0821 2023-11-12 16:55:24,439 - mmseg - INFO - Iter [130850/160000] lr: 1.822e-05, eta: 4:02:50, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1541, decode.loss_mask: 0.4072, decode.loss_dice: 0.6497, decode.d0.loss_cls: 1.1228, decode.d0.loss_mask: 0.4406, decode.d0.loss_dice: 0.7098, decode.d1.loss_cls: 0.2179, decode.d1.loss_mask: 0.4179, decode.d1.loss_dice: 0.6811, decode.d2.loss_cls: 0.1889, decode.d2.loss_mask: 0.4125, decode.d2.loss_dice: 0.6623, decode.d3.loss_cls: 0.1692, decode.d3.loss_mask: 0.4114, decode.d3.loss_dice: 0.6556, decode.d4.loss_cls: 0.1667, decode.d4.loss_mask: 0.4100, decode.d4.loss_dice: 0.6517, decode.d5.loss_cls: 0.1589, decode.d5.loss_mask: 0.4095, decode.d5.loss_dice: 0.6533, decode.d6.loss_cls: 0.1587, decode.d6.loss_mask: 0.4095, decode.d6.loss_dice: 0.6518, decode.d7.loss_cls: 0.1558, decode.d7.loss_mask: 0.4078, decode.d7.loss_dice: 0.6495, decode.d8.loss_cls: 0.1545, decode.d8.loss_mask: 0.4074, decode.d8.loss_dice: 0.6502, loss: 13.3960, grad_norm: 43.8986 2023-11-12 16:55:48,287 - mmseg - INFO - Iter [130900/160000] lr: 1.819e-05, eta: 4:02:25, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1570, decode.loss_mask: 0.4109, decode.loss_dice: 0.6454, decode.d0.loss_cls: 1.1186, decode.d0.loss_mask: 0.4409, decode.d0.loss_dice: 0.6980, decode.d1.loss_cls: 0.2142, decode.d1.loss_mask: 0.4231, decode.d1.loss_dice: 0.6741, decode.d2.loss_cls: 0.1814, decode.d2.loss_mask: 0.4173, decode.d2.loss_dice: 0.6652, decode.d3.loss_cls: 0.1723, decode.d3.loss_mask: 0.4145, decode.d3.loss_dice: 0.6505, decode.d4.loss_cls: 0.1653, decode.d4.loss_mask: 0.4141, decode.d4.loss_dice: 0.6500, decode.d5.loss_cls: 0.1623, decode.d5.loss_mask: 0.4129, decode.d5.loss_dice: 0.6487, decode.d6.loss_cls: 0.1607, decode.d6.loss_mask: 0.4134, decode.d6.loss_dice: 0.6447, decode.d7.loss_cls: 0.1583, decode.d7.loss_mask: 0.4124, decode.d7.loss_dice: 0.6473, decode.d8.loss_cls: 0.1542, decode.d8.loss_mask: 0.4124, decode.d8.loss_dice: 0.6451, loss: 13.3851, grad_norm: 42.8837 2023-11-12 16:56:12,006 - mmseg - INFO - Iter [130950/160000] lr: 1.816e-05, eta: 4:01:59, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1474, decode.loss_mask: 0.4264, decode.loss_dice: 0.6456, decode.d0.loss_cls: 1.0919, decode.d0.loss_mask: 0.4568, decode.d0.loss_dice: 0.6909, decode.d1.loss_cls: 0.2007, decode.d1.loss_mask: 0.4365, decode.d1.loss_dice: 0.6706, decode.d2.loss_cls: 0.1731, decode.d2.loss_mask: 0.4337, decode.d2.loss_dice: 0.6533, decode.d3.loss_cls: 0.1597, decode.d3.loss_mask: 0.4299, decode.d3.loss_dice: 0.6443, decode.d4.loss_cls: 0.1519, decode.d4.loss_mask: 0.4306, decode.d4.loss_dice: 0.6464, decode.d5.loss_cls: 0.1534, decode.d5.loss_mask: 0.4281, decode.d5.loss_dice: 0.6465, decode.d6.loss_cls: 0.1460, decode.d6.loss_mask: 0.4270, decode.d6.loss_dice: 0.6406, decode.d7.loss_cls: 0.1436, decode.d7.loss_mask: 0.4274, decode.d7.loss_dice: 0.6437, decode.d8.loss_cls: 0.1428, decode.d8.loss_mask: 0.4265, decode.d8.loss_dice: 0.6449, loss: 13.3603, grad_norm: 48.7113 2023-11-12 16:56:35,885 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 16:56:35,885 - mmseg - INFO - Iter [131000/160000] lr: 1.813e-05, eta: 4:01:34, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1564, decode.loss_mask: 0.4083, decode.loss_dice: 0.6321, decode.d0.loss_cls: 1.1185, decode.d0.loss_mask: 0.4373, decode.d0.loss_dice: 0.6892, decode.d1.loss_cls: 0.2103, decode.d1.loss_mask: 0.4233, decode.d1.loss_dice: 0.6623, decode.d2.loss_cls: 0.1770, decode.d2.loss_mask: 0.4155, decode.d2.loss_dice: 0.6459, decode.d3.loss_cls: 0.1693, decode.d3.loss_mask: 0.4136, decode.d3.loss_dice: 0.6333, decode.d4.loss_cls: 0.1603, decode.d4.loss_mask: 0.4120, decode.d4.loss_dice: 0.6314, decode.d5.loss_cls: 0.1571, decode.d5.loss_mask: 0.4098, decode.d5.loss_dice: 0.6346, decode.d6.loss_cls: 0.1572, decode.d6.loss_mask: 0.4095, decode.d6.loss_dice: 0.6313, decode.d7.loss_cls: 0.1540, decode.d7.loss_mask: 0.4088, decode.d7.loss_dice: 0.6332, decode.d8.loss_cls: 0.1581, decode.d8.loss_mask: 0.4077, decode.d8.loss_dice: 0.6296, loss: 13.1869, grad_norm: 44.1651 2023-11-12 16:56:59,637 - mmseg - INFO - Iter [131050/160000] lr: 1.809e-05, eta: 4:01:09, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1471, decode.loss_mask: 0.4113, decode.loss_dice: 0.6246, decode.d0.loss_cls: 1.0972, decode.d0.loss_mask: 0.4413, decode.d0.loss_dice: 0.6744, decode.d1.loss_cls: 0.2166, decode.d1.loss_mask: 0.4193, decode.d1.loss_dice: 0.6518, decode.d2.loss_cls: 0.1765, decode.d2.loss_mask: 0.4169, decode.d2.loss_dice: 0.6412, decode.d3.loss_cls: 0.1655, decode.d3.loss_mask: 0.4137, decode.d3.loss_dice: 0.6283, decode.d4.loss_cls: 0.1620, decode.d4.loss_mask: 0.4128, decode.d4.loss_dice: 0.6293, decode.d5.loss_cls: 0.1530, decode.d5.loss_mask: 0.4122, decode.d5.loss_dice: 0.6288, decode.d6.loss_cls: 0.1535, decode.d6.loss_mask: 0.4115, decode.d6.loss_dice: 0.6237, decode.d7.loss_cls: 0.1519, decode.d7.loss_mask: 0.4127, decode.d7.loss_dice: 0.6225, decode.d8.loss_cls: 0.1464, decode.d8.loss_mask: 0.4113, decode.d8.loss_dice: 0.6273, loss: 13.0846, grad_norm: 45.3351 2023-11-12 16:57:23,364 - mmseg - INFO - Iter [131100/160000] lr: 1.806e-05, eta: 4:00:44, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1412, decode.loss_mask: 0.4157, decode.loss_dice: 0.6246, decode.d0.loss_cls: 1.1036, decode.d0.loss_mask: 0.4464, decode.d0.loss_dice: 0.6784, decode.d1.loss_cls: 0.2035, decode.d1.loss_mask: 0.4257, decode.d1.loss_dice: 0.6519, decode.d2.loss_cls: 0.1705, decode.d2.loss_mask: 0.4204, decode.d2.loss_dice: 0.6400, decode.d3.loss_cls: 0.1581, decode.d3.loss_mask: 0.4185, decode.d3.loss_dice: 0.6287, decode.d4.loss_cls: 0.1511, decode.d4.loss_mask: 0.4180, decode.d4.loss_dice: 0.6283, decode.d5.loss_cls: 0.1475, decode.d5.loss_mask: 0.4189, decode.d5.loss_dice: 0.6284, decode.d6.loss_cls: 0.1425, decode.d6.loss_mask: 0.4175, decode.d6.loss_dice: 0.6234, decode.d7.loss_cls: 0.1379, decode.d7.loss_mask: 0.4173, decode.d7.loss_dice: 0.6237, decode.d8.loss_cls: 0.1411, decode.d8.loss_mask: 0.4176, decode.d8.loss_dice: 0.6230, loss: 13.0633, grad_norm: 50.6525 2023-11-12 16:57:47,075 - mmseg - INFO - Iter [131150/160000] lr: 1.803e-05, eta: 4:00:18, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1622, decode.loss_mask: 0.3967, decode.loss_dice: 0.6280, decode.d0.loss_cls: 1.1342, decode.d0.loss_mask: 0.4240, decode.d0.loss_dice: 0.6841, decode.d1.loss_cls: 0.2181, decode.d1.loss_mask: 0.4056, decode.d1.loss_dice: 0.6531, decode.d2.loss_cls: 0.1916, decode.d2.loss_mask: 0.4006, decode.d2.loss_dice: 0.6414, decode.d3.loss_cls: 0.1740, decode.d3.loss_mask: 0.4001, decode.d3.loss_dice: 0.6295, decode.d4.loss_cls: 0.1680, decode.d4.loss_mask: 0.3975, decode.d4.loss_dice: 0.6276, decode.d5.loss_cls: 0.1666, decode.d5.loss_mask: 0.3972, decode.d5.loss_dice: 0.6290, decode.d6.loss_cls: 0.1625, decode.d6.loss_mask: 0.3962, decode.d6.loss_dice: 0.6256, decode.d7.loss_cls: 0.1647, decode.d7.loss_mask: 0.3970, decode.d7.loss_dice: 0.6271, decode.d8.loss_cls: 0.1595, decode.d8.loss_mask: 0.3979, decode.d8.loss_dice: 0.6321, loss: 13.0912, grad_norm: 45.7029 2023-11-12 16:58:10,688 - mmseg - INFO - Iter [131200/160000] lr: 1.800e-05, eta: 3:59:53, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1481, decode.loss_mask: 0.3858, decode.loss_dice: 0.6062, decode.d0.loss_cls: 1.1053, decode.d0.loss_mask: 0.4144, decode.d0.loss_dice: 0.6554, decode.d1.loss_cls: 0.2031, decode.d1.loss_mask: 0.3983, decode.d1.loss_dice: 0.6363, decode.d2.loss_cls: 0.1792, decode.d2.loss_mask: 0.3902, decode.d2.loss_dice: 0.6178, decode.d3.loss_cls: 0.1679, decode.d3.loss_mask: 0.3875, decode.d3.loss_dice: 0.6066, decode.d4.loss_cls: 0.1591, decode.d4.loss_mask: 0.3864, decode.d4.loss_dice: 0.6063, decode.d5.loss_cls: 0.1508, decode.d5.loss_mask: 0.3865, decode.d5.loss_dice: 0.6094, decode.d6.loss_cls: 0.1523, decode.d6.loss_mask: 0.3879, decode.d6.loss_dice: 0.6059, decode.d7.loss_cls: 0.1497, decode.d7.loss_mask: 0.3867, decode.d7.loss_dice: 0.6076, decode.d8.loss_cls: 0.1433, decode.d8.loss_mask: 0.3861, decode.d8.loss_dice: 0.6065, loss: 12.6265, grad_norm: 46.6472 2023-11-12 16:58:34,330 - mmseg - INFO - Iter [131250/160000] lr: 1.797e-05, eta: 3:59:28, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1627, decode.loss_mask: 0.4207, decode.loss_dice: 0.6379, decode.d0.loss_cls: 1.1002, decode.d0.loss_mask: 0.4498, decode.d0.loss_dice: 0.6963, decode.d1.loss_cls: 0.2212, decode.d1.loss_mask: 0.4304, decode.d1.loss_dice: 0.6677, decode.d2.loss_cls: 0.1901, decode.d2.loss_mask: 0.4266, decode.d2.loss_dice: 0.6540, decode.d3.loss_cls: 0.1762, decode.d3.loss_mask: 0.4243, decode.d3.loss_dice: 0.6408, decode.d4.loss_cls: 0.1740, decode.d4.loss_mask: 0.4229, decode.d4.loss_dice: 0.6389, decode.d5.loss_cls: 0.1692, decode.d5.loss_mask: 0.4232, decode.d5.loss_dice: 0.6386, decode.d6.loss_cls: 0.1689, decode.d6.loss_mask: 0.4223, decode.d6.loss_dice: 0.6349, decode.d7.loss_cls: 0.1658, decode.d7.loss_mask: 0.4214, decode.d7.loss_dice: 0.6344, decode.d8.loss_cls: 0.1649, decode.d8.loss_mask: 0.4212, decode.d8.loss_dice: 0.6356, loss: 13.4350, grad_norm: 47.9822 2023-11-12 16:58:58,502 - mmseg - INFO - Iter [131300/160000] lr: 1.794e-05, eta: 3:59:03, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1470, decode.loss_mask: 0.4138, decode.loss_dice: 0.6218, decode.d0.loss_cls: 1.0904, decode.d0.loss_mask: 0.4478, decode.d0.loss_dice: 0.6723, decode.d1.loss_cls: 0.2005, decode.d1.loss_mask: 0.4240, decode.d1.loss_dice: 0.6486, decode.d2.loss_cls: 0.1724, decode.d2.loss_mask: 0.4182, decode.d2.loss_dice: 0.6279, decode.d3.loss_cls: 0.1619, decode.d3.loss_mask: 0.4165, decode.d3.loss_dice: 0.6240, decode.d4.loss_cls: 0.1482, decode.d4.loss_mask: 0.4154, decode.d4.loss_dice: 0.6291, decode.d5.loss_cls: 0.1473, decode.d5.loss_mask: 0.4156, decode.d5.loss_dice: 0.6255, decode.d6.loss_cls: 0.1525, decode.d6.loss_mask: 0.4147, decode.d6.loss_dice: 0.6190, decode.d7.loss_cls: 0.1462, decode.d7.loss_mask: 0.4154, decode.d7.loss_dice: 0.6255, decode.d8.loss_cls: 0.1448, decode.d8.loss_mask: 0.4146, decode.d8.loss_dice: 0.6232, loss: 13.0239, grad_norm: 45.8949 2023-11-12 16:59:23,271 - mmseg - INFO - Iter [131350/160000] lr: 1.791e-05, eta: 3:58:38, time: 0.495, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1531, decode.loss_mask: 0.4195, decode.loss_dice: 0.6489, decode.d0.loss_cls: 1.1091, decode.d0.loss_mask: 0.4528, decode.d0.loss_dice: 0.7063, decode.d1.loss_cls: 0.2093, decode.d1.loss_mask: 0.4320, decode.d1.loss_dice: 0.6755, decode.d2.loss_cls: 0.1835, decode.d2.loss_mask: 0.4238, decode.d2.loss_dice: 0.6598, decode.d3.loss_cls: 0.1709, decode.d3.loss_mask: 0.4204, decode.d3.loss_dice: 0.6530, decode.d4.loss_cls: 0.1652, decode.d4.loss_mask: 0.4194, decode.d4.loss_dice: 0.6551, decode.d5.loss_cls: 0.1546, decode.d5.loss_mask: 0.4218, decode.d5.loss_dice: 0.6475, decode.d6.loss_cls: 0.1595, decode.d6.loss_mask: 0.4188, decode.d6.loss_dice: 0.6455, decode.d7.loss_cls: 0.1573, decode.d7.loss_mask: 0.4197, decode.d7.loss_dice: 0.6491, decode.d8.loss_cls: 0.1501, decode.d8.loss_mask: 0.4199, decode.d8.loss_dice: 0.6496, loss: 13.4510, grad_norm: 47.2778 2023-11-12 16:59:50,172 - mmseg - INFO - Iter [131400/160000] lr: 1.788e-05, eta: 3:58:13, time: 0.538, data_time: 0.061, memory: 41146, decode.loss_cls: 0.1542, decode.loss_mask: 0.3911, decode.loss_dice: 0.6227, decode.d0.loss_cls: 1.1132, decode.d0.loss_mask: 0.4184, decode.d0.loss_dice: 0.6732, decode.d1.loss_cls: 0.2262, decode.d1.loss_mask: 0.4001, decode.d1.loss_dice: 0.6470, decode.d2.loss_cls: 0.1879, decode.d2.loss_mask: 0.3950, decode.d2.loss_dice: 0.6333, decode.d3.loss_cls: 0.1741, decode.d3.loss_mask: 0.3931, decode.d3.loss_dice: 0.6251, decode.d4.loss_cls: 0.1685, decode.d4.loss_mask: 0.3915, decode.d4.loss_dice: 0.6222, decode.d5.loss_cls: 0.1652, decode.d5.loss_mask: 0.3927, decode.d5.loss_dice: 0.6237, decode.d6.loss_cls: 0.1605, decode.d6.loss_mask: 0.3909, decode.d6.loss_dice: 0.6217, decode.d7.loss_cls: 0.1583, decode.d7.loss_mask: 0.3907, decode.d7.loss_dice: 0.6221, decode.d8.loss_cls: 0.1554, decode.d8.loss_mask: 0.3914, decode.d8.loss_dice: 0.6209, loss: 12.9303, grad_norm: 41.8298 2023-11-12 17:00:13,901 - mmseg - INFO - Iter [131450/160000] lr: 1.784e-05, eta: 3:57:48, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1374, decode.loss_mask: 0.4056, decode.loss_dice: 0.6152, decode.d0.loss_cls: 1.0819, decode.d0.loss_mask: 0.4370, decode.d0.loss_dice: 0.6633, decode.d1.loss_cls: 0.1933, decode.d1.loss_mask: 0.4153, decode.d1.loss_dice: 0.6436, decode.d2.loss_cls: 0.1618, decode.d2.loss_mask: 0.4092, decode.d2.loss_dice: 0.6332, decode.d3.loss_cls: 0.1501, decode.d3.loss_mask: 0.4069, decode.d3.loss_dice: 0.6237, decode.d4.loss_cls: 0.1461, decode.d4.loss_mask: 0.4068, decode.d4.loss_dice: 0.6186, decode.d5.loss_cls: 0.1420, decode.d5.loss_mask: 0.4082, decode.d5.loss_dice: 0.6222, decode.d6.loss_cls: 0.1391, decode.d6.loss_mask: 0.4067, decode.d6.loss_dice: 0.6200, decode.d7.loss_cls: 0.1385, decode.d7.loss_mask: 0.4066, decode.d7.loss_dice: 0.6214, decode.d8.loss_cls: 0.1370, decode.d8.loss_mask: 0.4059, decode.d8.loss_dice: 0.6179, loss: 12.8144, grad_norm: 44.5431 2023-11-12 17:00:37,650 - mmseg - INFO - Iter [131500/160000] lr: 1.781e-05, eta: 3:57:23, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1513, decode.loss_mask: 0.4003, decode.loss_dice: 0.6093, decode.d0.loss_cls: 1.1215, decode.d0.loss_mask: 0.4263, decode.d0.loss_dice: 0.6669, decode.d1.loss_cls: 0.2133, decode.d1.loss_mask: 0.4094, decode.d1.loss_dice: 0.6394, decode.d2.loss_cls: 0.1847, decode.d2.loss_mask: 0.4046, decode.d2.loss_dice: 0.6292, decode.d3.loss_cls: 0.1677, decode.d3.loss_mask: 0.4004, decode.d3.loss_dice: 0.6178, decode.d4.loss_cls: 0.1615, decode.d4.loss_mask: 0.4011, decode.d4.loss_dice: 0.6160, decode.d5.loss_cls: 0.1598, decode.d5.loss_mask: 0.3997, decode.d5.loss_dice: 0.6139, decode.d6.loss_cls: 0.1599, decode.d6.loss_mask: 0.4003, decode.d6.loss_dice: 0.6115, decode.d7.loss_cls: 0.1555, decode.d7.loss_mask: 0.4001, decode.d7.loss_dice: 0.6168, decode.d8.loss_cls: 0.1540, decode.d8.loss_mask: 0.4003, decode.d8.loss_dice: 0.6152, loss: 12.9077, grad_norm: 44.0125 2023-11-12 17:01:01,258 - mmseg - INFO - Iter [131550/160000] lr: 1.778e-05, eta: 3:56:57, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1442, decode.loss_mask: 0.4088, decode.loss_dice: 0.6277, decode.d0.loss_cls: 1.0916, decode.d0.loss_mask: 0.4377, decode.d0.loss_dice: 0.6798, decode.d1.loss_cls: 0.2062, decode.d1.loss_mask: 0.4199, decode.d1.loss_dice: 0.6540, decode.d2.loss_cls: 0.1776, decode.d2.loss_mask: 0.4147, decode.d2.loss_dice: 0.6415, decode.d3.loss_cls: 0.1626, decode.d3.loss_mask: 0.4103, decode.d3.loss_dice: 0.6303, decode.d4.loss_cls: 0.1560, decode.d4.loss_mask: 0.4104, decode.d4.loss_dice: 0.6307, decode.d5.loss_cls: 0.1521, decode.d5.loss_mask: 0.4090, decode.d5.loss_dice: 0.6303, decode.d6.loss_cls: 0.1473, decode.d6.loss_mask: 0.4102, decode.d6.loss_dice: 0.6305, decode.d7.loss_cls: 0.1474, decode.d7.loss_mask: 0.4078, decode.d7.loss_dice: 0.6284, decode.d8.loss_cls: 0.1447, decode.d8.loss_mask: 0.4094, decode.d8.loss_dice: 0.6253, loss: 13.0463, grad_norm: 42.9140 2023-11-12 17:01:24,930 - mmseg - INFO - Iter [131600/160000] lr: 1.775e-05, eta: 3:56:32, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1353, decode.loss_mask: 0.4254, decode.loss_dice: 0.6217, decode.d0.loss_cls: 1.0712, decode.d0.loss_mask: 0.4571, decode.d0.loss_dice: 0.6712, decode.d1.loss_cls: 0.1832, decode.d1.loss_mask: 0.4374, decode.d1.loss_dice: 0.6503, decode.d2.loss_cls: 0.1596, decode.d2.loss_mask: 0.4311, decode.d2.loss_dice: 0.6348, decode.d3.loss_cls: 0.1474, decode.d3.loss_mask: 0.4281, decode.d3.loss_dice: 0.6215, decode.d4.loss_cls: 0.1446, decode.d4.loss_mask: 0.4253, decode.d4.loss_dice: 0.6230, decode.d5.loss_cls: 0.1382, decode.d5.loss_mask: 0.4248, decode.d5.loss_dice: 0.6190, decode.d6.loss_cls: 0.1371, decode.d6.loss_mask: 0.4251, decode.d6.loss_dice: 0.6204, decode.d7.loss_cls: 0.1348, decode.d7.loss_mask: 0.4233, decode.d7.loss_dice: 0.6228, decode.d8.loss_cls: 0.1356, decode.d8.loss_mask: 0.4252, decode.d8.loss_dice: 0.6229, loss: 12.9977, grad_norm: 49.2034 2023-11-12 17:01:48,560 - mmseg - INFO - Iter [131650/160000] lr: 1.772e-05, eta: 3:56:07, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1414, decode.loss_mask: 0.4146, decode.loss_dice: 0.6275, decode.d0.loss_cls: 1.0931, decode.d0.loss_mask: 0.4430, decode.d0.loss_dice: 0.6781, decode.d1.loss_cls: 0.1937, decode.d1.loss_mask: 0.4235, decode.d1.loss_dice: 0.6525, decode.d2.loss_cls: 0.1719, decode.d2.loss_mask: 0.4163, decode.d2.loss_dice: 0.6391, decode.d3.loss_cls: 0.1552, decode.d3.loss_mask: 0.4168, decode.d3.loss_dice: 0.6334, decode.d4.loss_cls: 0.1481, decode.d4.loss_mask: 0.4148, decode.d4.loss_dice: 0.6294, decode.d5.loss_cls: 0.1467, decode.d5.loss_mask: 0.4144, decode.d5.loss_dice: 0.6316, decode.d6.loss_cls: 0.1481, decode.d6.loss_mask: 0.4134, decode.d6.loss_dice: 0.6277, decode.d7.loss_cls: 0.1415, decode.d7.loss_mask: 0.4132, decode.d7.loss_dice: 0.6248, decode.d8.loss_cls: 0.1463, decode.d8.loss_mask: 0.4137, decode.d8.loss_dice: 0.6260, loss: 13.0395, grad_norm: 44.2463 2023-11-12 17:02:12,246 - mmseg - INFO - Iter [131700/160000] lr: 1.769e-05, eta: 3:55:41, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1428, decode.loss_mask: 0.4058, decode.loss_dice: 0.6220, decode.d0.loss_cls: 1.0850, decode.d0.loss_mask: 0.4301, decode.d0.loss_dice: 0.6753, decode.d1.loss_cls: 0.2000, decode.d1.loss_mask: 0.4155, decode.d1.loss_dice: 0.6477, decode.d2.loss_cls: 0.1751, decode.d2.loss_mask: 0.4089, decode.d2.loss_dice: 0.6360, decode.d3.loss_cls: 0.1627, decode.d3.loss_mask: 0.4058, decode.d3.loss_dice: 0.6260, decode.d4.loss_cls: 0.1556, decode.d4.loss_mask: 0.4070, decode.d4.loss_dice: 0.6248, decode.d5.loss_cls: 0.1478, decode.d5.loss_mask: 0.4055, decode.d5.loss_dice: 0.6225, decode.d6.loss_cls: 0.1497, decode.d6.loss_mask: 0.4049, decode.d6.loss_dice: 0.6198, decode.d7.loss_cls: 0.1507, decode.d7.loss_mask: 0.4062, decode.d7.loss_dice: 0.6209, decode.d8.loss_cls: 0.1427, decode.d8.loss_mask: 0.4054, decode.d8.loss_dice: 0.6205, loss: 12.9227, grad_norm: 47.2516 2023-11-12 17:02:36,129 - mmseg - INFO - Iter [131750/160000] lr: 1.766e-05, eta: 3:55:16, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1445, decode.loss_mask: 0.3847, decode.loss_dice: 0.6155, decode.d0.loss_cls: 1.1210, decode.d0.loss_mask: 0.4146, decode.d0.loss_dice: 0.6675, decode.d1.loss_cls: 0.2030, decode.d1.loss_mask: 0.3968, decode.d1.loss_dice: 0.6433, decode.d2.loss_cls: 0.1736, decode.d2.loss_mask: 0.3911, decode.d2.loss_dice: 0.6302, decode.d3.loss_cls: 0.1637, decode.d3.loss_mask: 0.3865, decode.d3.loss_dice: 0.6238, decode.d4.loss_cls: 0.1568, decode.d4.loss_mask: 0.3866, decode.d4.loss_dice: 0.6189, decode.d5.loss_cls: 0.1524, decode.d5.loss_mask: 0.3860, decode.d5.loss_dice: 0.6225, decode.d6.loss_cls: 0.1450, decode.d6.loss_mask: 0.3851, decode.d6.loss_dice: 0.6183, decode.d7.loss_cls: 0.1447, decode.d7.loss_mask: 0.3856, decode.d7.loss_dice: 0.6196, decode.d8.loss_cls: 0.1406, decode.d8.loss_mask: 0.3849, decode.d8.loss_dice: 0.6178, loss: 12.7247, grad_norm: 43.0334 2023-11-12 17:02:59,925 - mmseg - INFO - Iter [131800/160000] lr: 1.763e-05, eta: 3:54:51, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1275, decode.loss_mask: 0.4067, decode.loss_dice: 0.6203, decode.d0.loss_cls: 1.0828, decode.d0.loss_mask: 0.4389, decode.d0.loss_dice: 0.6668, decode.d1.loss_cls: 0.1878, decode.d1.loss_mask: 0.4162, decode.d1.loss_dice: 0.6421, decode.d2.loss_cls: 0.1578, decode.d2.loss_mask: 0.4116, decode.d2.loss_dice: 0.6310, decode.d3.loss_cls: 0.1447, decode.d3.loss_mask: 0.4091, decode.d3.loss_dice: 0.6217, decode.d4.loss_cls: 0.1433, decode.d4.loss_mask: 0.4085, decode.d4.loss_dice: 0.6204, decode.d5.loss_cls: 0.1334, decode.d5.loss_mask: 0.4086, decode.d5.loss_dice: 0.6198, decode.d6.loss_cls: 0.1336, decode.d6.loss_mask: 0.4083, decode.d6.loss_dice: 0.6184, decode.d7.loss_cls: 0.1351, decode.d7.loss_mask: 0.4059, decode.d7.loss_dice: 0.6184, decode.d8.loss_cls: 0.1299, decode.d8.loss_mask: 0.4068, decode.d8.loss_dice: 0.6187, loss: 12.7742, grad_norm: 42.8123 2023-11-12 17:03:23,813 - mmseg - INFO - Iter [131850/160000] lr: 1.759e-05, eta: 3:54:26, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1438, decode.loss_mask: 0.4249, decode.loss_dice: 0.6293, decode.d0.loss_cls: 1.1243, decode.d0.loss_mask: 0.4562, decode.d0.loss_dice: 0.6817, decode.d1.loss_cls: 0.2008, decode.d1.loss_mask: 0.4360, decode.d1.loss_dice: 0.6648, decode.d2.loss_cls: 0.1673, decode.d2.loss_mask: 0.4298, decode.d2.loss_dice: 0.6488, decode.d3.loss_cls: 0.1564, decode.d3.loss_mask: 0.4273, decode.d3.loss_dice: 0.6374, decode.d4.loss_cls: 0.1509, decode.d4.loss_mask: 0.4263, decode.d4.loss_dice: 0.6393, decode.d5.loss_cls: 0.1490, decode.d5.loss_mask: 0.4261, decode.d5.loss_dice: 0.6354, decode.d6.loss_cls: 0.1501, decode.d6.loss_mask: 0.4250, decode.d6.loss_dice: 0.6332, decode.d7.loss_cls: 0.1437, decode.d7.loss_mask: 0.4254, decode.d7.loss_dice: 0.6326, decode.d8.loss_cls: 0.1436, decode.d8.loss_mask: 0.4252, decode.d8.loss_dice: 0.6352, loss: 13.2696, grad_norm: 49.6903 2023-11-12 17:03:47,661 - mmseg - INFO - Iter [131900/160000] lr: 1.756e-05, eta: 3:54:01, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1515, decode.loss_mask: 0.4286, decode.loss_dice: 0.6293, decode.d0.loss_cls: 1.0820, decode.d0.loss_mask: 0.4623, decode.d0.loss_dice: 0.6857, decode.d1.loss_cls: 0.2126, decode.d1.loss_mask: 0.4393, decode.d1.loss_dice: 0.6597, decode.d2.loss_cls: 0.1811, decode.d2.loss_mask: 0.4345, decode.d2.loss_dice: 0.6463, decode.d3.loss_cls: 0.1678, decode.d3.loss_mask: 0.4289, decode.d3.loss_dice: 0.6321, decode.d4.loss_cls: 0.1622, decode.d4.loss_mask: 0.4284, decode.d4.loss_dice: 0.6311, decode.d5.loss_cls: 0.1572, decode.d5.loss_mask: 0.4282, decode.d5.loss_dice: 0.6309, decode.d6.loss_cls: 0.1555, decode.d6.loss_mask: 0.4275, decode.d6.loss_dice: 0.6300, decode.d7.loss_cls: 0.1546, decode.d7.loss_mask: 0.4276, decode.d7.loss_dice: 0.6275, decode.d8.loss_cls: 0.1534, decode.d8.loss_mask: 0.4272, decode.d8.loss_dice: 0.6304, loss: 13.3134, grad_norm: 47.5397 2023-11-12 17:04:11,278 - mmseg - INFO - Iter [131950/160000] lr: 1.753e-05, eta: 3:53:35, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1320, decode.loss_mask: 0.4012, decode.loss_dice: 0.6206, decode.d0.loss_cls: 1.1005, decode.d0.loss_mask: 0.4307, decode.d0.loss_dice: 0.6735, decode.d1.loss_cls: 0.1900, decode.d1.loss_mask: 0.4138, decode.d1.loss_dice: 0.6536, decode.d2.loss_cls: 0.1649, decode.d2.loss_mask: 0.4079, decode.d2.loss_dice: 0.6328, decode.d3.loss_cls: 0.1519, decode.d3.loss_mask: 0.4036, decode.d3.loss_dice: 0.6247, decode.d4.loss_cls: 0.1414, decode.d4.loss_mask: 0.4036, decode.d4.loss_dice: 0.6221, decode.d5.loss_cls: 0.1389, decode.d5.loss_mask: 0.4041, decode.d5.loss_dice: 0.6243, decode.d6.loss_cls: 0.1383, decode.d6.loss_mask: 0.4027, decode.d6.loss_dice: 0.6193, decode.d7.loss_cls: 0.1353, decode.d7.loss_mask: 0.4024, decode.d7.loss_dice: 0.6188, decode.d8.loss_cls: 0.1326, decode.d8.loss_mask: 0.4025, decode.d8.loss_dice: 0.6201, loss: 12.8082, grad_norm: 45.5594 2023-11-12 17:04:34,818 - mmseg - INFO - Saving checkpoint at 132000 iterations 2023-11-12 17:04:38,553 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 17:04:38,553 - mmseg - INFO - Iter [132000/160000] lr: 1.750e-05, eta: 3:53:11, time: 0.546, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1437, decode.loss_mask: 0.4223, decode.loss_dice: 0.6302, decode.d0.loss_cls: 1.1138, decode.d0.loss_mask: 0.4511, decode.d0.loss_dice: 0.6787, decode.d1.loss_cls: 0.1858, decode.d1.loss_mask: 0.4318, decode.d1.loss_dice: 0.6571, decode.d2.loss_cls: 0.1671, decode.d2.loss_mask: 0.4267, decode.d2.loss_dice: 0.6460, decode.d3.loss_cls: 0.1556, decode.d3.loss_mask: 0.4234, decode.d3.loss_dice: 0.6382, decode.d4.loss_cls: 0.1503, decode.d4.loss_mask: 0.4253, decode.d4.loss_dice: 0.6390, decode.d5.loss_cls: 0.1516, decode.d5.loss_mask: 0.4252, decode.d5.loss_dice: 0.6339, decode.d6.loss_cls: 0.1483, decode.d6.loss_mask: 0.4232, decode.d6.loss_dice: 0.6297, decode.d7.loss_cls: 0.1470, decode.d7.loss_mask: 0.4227, decode.d7.loss_dice: 0.6313, decode.d8.loss_cls: 0.1455, decode.d8.loss_mask: 0.4225, decode.d8.loss_dice: 0.6319, loss: 13.1990, grad_norm: 49.8196 2023-11-12 17:04:57,807 - mmseg - INFO - per class results: 2023-11-12 17:04:57,812 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.86 | 87.37 | | building | 82.63 | 91.43 | | sky | 94.74 | 97.36 | | floor | 83.67 | 91.6 | | tree | 74.67 | 86.74 | | ceiling | 84.54 | 91.48 | | road | 84.89 | 91.49 | | bed | 90.87 | 95.35 | | windowpane | 64.35 | 81.25 | | grass | 67.47 | 82.09 | | cabinet | 67.06 | 78.6 | | sidewalk | 67.66 | 79.36 | | person | 84.59 | 93.15 | | earth | 43.58 | 58.14 | | door | 50.67 | 66.46 | | table | 67.7 | 81.15 | | mountain | 68.85 | 79.97 | | plant | 54.17 | 68.35 | | curtain | 78.12 | 88.67 | | chair | 60.62 | 74.4 | | car | 85.72 | 92.18 | | water | 54.36 | 68.3 | | painting | 78.93 | 88.46 | | sofa | 68.67 | 81.95 | | shelf | 41.75 | 58.16 | | house | 42.3 | 74.18 | | sea | 67.62 | 90.24 | | mirror | 73.81 | 84.01 | | rug | 66.63 | 78.4 | | field | 30.74 | 50.5 | | armchair | 48.36 | 69.59 | | seat | 58.67 | 80.51 | | fence | 49.94 | 69.48 | | desk | 50.98 | 71.92 | | rock | 50.4 | 78.41 | | wardrobe | 45.91 | 58.95 | | lamp | 72.37 | 84.06 | | bathtub | 74.49 | 86.3 | | railing | 36.16 | 54.93 | | cushion | 64.71 | 76.67 | | base | 27.63 | 44.89 | | box | 27.87 | 38.35 | | column | 50.32 | 64.3 | | signboard | 37.63 | 52.94 | | chest of drawers | 39.96 | 61.21 | | counter | 34.05 | 41.33 | | sand | 34.2 | 46.2 | | sink | 75.88 | 81.43 | | skyscraper | 39.98 | 46.37 | | fireplace | 80.51 | 92.43 | | refrigerator | 75.16 | 83.49 | | grandstand | 37.79 | 68.66 | | path | 30.1 | 47.42 | | stairs | 23.62 | 29.91 | | runway | 86.89 | 92.32 | | case | 59.33 | 80.83 | | pool table | 95.18 | 97.63 | | pillow | 61.99 | 76.6 | | screen door | 78.46 | 87.64 | | stairway | 29.74 | 43.02 | | river | 11.79 | 18.69 | | bridge | 77.24 | 88.26 | | bookcase | 40.17 | 64.65 | | blind | 47.96 | 52.53 | | coffee table | 65.57 | 86.92 | | toilet | 88.95 | 91.98 | | flower | 48.7 | 65.37 | | book | 50.45 | 73.44 | | hill | 7.12 | 14.6 | | bench | 44.61 | 50.55 | | countertop | 57.42 | 76.26 | | stove | 83.39 | 88.71 | | palm | 57.41 | 75.97 | | kitchen island | 61.6 | 89.88 | | computer | 72.52 | 79.56 | | swivel chair | 33.74 | 54.18 | | boat | 73.23 | 84.01 | | bar | 52.31 | 66.74 | | arcade machine | 87.01 | 92.24 | | hovel | 5.71 | 7.98 | | bus | 94.25 | 97.06 | | towel | 72.16 | 80.7 | | light | 62.85 | 74.9 | | truck | 32.78 | 52.04 | | tower | 27.24 | 48.95 | | chandelier | 71.6 | 87.61 | | awning | 33.55 | 44.35 | | streetlight | 42.02 | 63.33 | | booth | 33.87 | 61.39 | | television receiver | 79.19 | 87.25 | | airplane | 58.91 | 66.98 | | dirt track | 15.66 | 52.86 | | apparel | 26.36 | 49.94 | | pole | 33.55 | 52.51 | | land | 5.5 | 9.29 | | bannister | 19.55 | 33.36 | | escalator | 20.04 | 21.1 | | ottoman | 56.62 | 72.89 | | bottle | 27.6 | 33.53 | | buffet | 45.35 | 55.09 | | poster | 23.24 | 35.78 | | stage | 15.72 | 29.82 | | van | 49.61 | 75.11 | | ship | 6.27 | 10.62 | | fountain | 22.4 | 27.54 | | conveyer belt | 55.65 | 94.32 | | canopy | 33.49 | 46.78 | | washer | 70.82 | 73.48 | | plaything | 33.15 | 46.3 | | swimming pool | 60.77 | 66.42 | | stool | 44.83 | 68.09 | | barrel | 81.21 | 98.12 | | basket | 33.99 | 43.53 | | waterfall | 57.62 | 91.64 | | tent | 96.09 | 98.12 | | bag | 17.17 | 20.63 | | minibike | 74.23 | 92.2 | | cradle | 85.29 | 97.27 | | oven | 28.18 | 79.59 | | ball | 47.15 | 54.49 | | food | 54.4 | 63.49 | | step | 14.57 | 20.94 | | tank | 40.54 | 66.14 | | trade name | 30.78 | 37.79 | | microwave | 40.37 | 42.92 | | pot | 50.0 | 56.47 | | animal | 55.33 | 56.7 | | bicycle | 56.67 | 78.36 | | lake | 38.38 | 63.6 | | dishwasher | 81.4 | 88.13 | | screen | 55.09 | 83.97 | | blanket | 30.82 | 38.46 | | sculpture | 73.42 | 87.45 | | hood | 85.02 | 91.75 | | sconce | 53.83 | 67.61 | | vase | 49.13 | 67.34 | | traffic light | 44.46 | 68.75 | | tray | 12.42 | 29.62 | | ashcan | 54.96 | 70.81 | | fan | 72.2 | 85.33 | | pier | 30.36 | 44.61 | | crt screen | 3.17 | 10.47 | | plate | 40.3 | 48.65 | | monitor | 8.94 | 11.97 | | bulletin board | 53.81 | 78.73 | | shower | 5.02 | 22.2 | | radiator | 71.48 | 86.0 | | glass | 17.48 | 22.34 | | clock | 56.61 | 67.37 | | flag | 45.65 | 52.1 | +---------------------+-------+-------+ 2023-11-12 17:04:57,812 - mmseg - INFO - Summary: 2023-11-12 17:04:57,812 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.11 | 52.18 | 65.77 | +-------+-------+-------+ 2023-11-12 17:04:57,813 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 17:04:57,813 - mmseg - INFO - Iter(val) [250] aAcc: 0.8411, mIoU: 0.5218, mAcc: 0.6577, IoU.wall: 0.7886, IoU.building: 0.8263, IoU.sky: 0.9474, IoU.floor: 0.8367, IoU.tree: 0.7467, IoU.ceiling: 0.8454, IoU.road: 0.8489, IoU.bed : 0.9087, IoU.windowpane: 0.6435, IoU.grass: 0.6747, IoU.cabinet: 0.6706, IoU.sidewalk: 0.6766, IoU.person: 0.8459, IoU.earth: 0.4358, IoU.door: 0.5067, IoU.table: 0.6770, IoU.mountain: 0.6885, IoU.plant: 0.5417, IoU.curtain: 0.7812, IoU.chair: 0.6062, IoU.car: 0.8572, IoU.water: 0.5436, IoU.painting: 0.7893, IoU.sofa: 0.6867, IoU.shelf: 0.4175, IoU.house: 0.4230, IoU.sea: 0.6762, IoU.mirror: 0.7381, IoU.rug: 0.6663, IoU.field: 0.3074, IoU.armchair: 0.4836, IoU.seat: 0.5867, IoU.fence: 0.4994, IoU.desk: 0.5098, IoU.rock: 0.5040, IoU.wardrobe: 0.4591, IoU.lamp: 0.7237, IoU.bathtub: 0.7449, IoU.railing: 0.3616, IoU.cushion: 0.6471, IoU.base: 0.2763, IoU.box: 0.2787, IoU.column: 0.5032, IoU.signboard: 0.3763, IoU.chest of drawers: 0.3996, IoU.counter: 0.3405, IoU.sand: 0.3420, IoU.sink: 0.7588, IoU.skyscraper: 0.3998, IoU.fireplace: 0.8051, IoU.refrigerator: 0.7516, IoU.grandstand: 0.3779, IoU.path: 0.3010, IoU.stairs: 0.2362, IoU.runway: 0.8689, IoU.case: 0.5933, IoU.pool table: 0.9518, IoU.pillow: 0.6199, IoU.screen door: 0.7846, IoU.stairway: 0.2974, IoU.river: 0.1179, IoU.bridge: 0.7724, IoU.bookcase: 0.4017, IoU.blind: 0.4796, IoU.coffee table: 0.6557, IoU.toilet: 0.8895, IoU.flower: 0.4870, IoU.book: 0.5045, IoU.hill: 0.0712, IoU.bench: 0.4461, IoU.countertop: 0.5742, IoU.stove: 0.8339, IoU.palm: 0.5741, IoU.kitchen island: 0.6160, IoU.computer: 0.7252, IoU.swivel chair: 0.3374, IoU.boat: 0.7323, IoU.bar: 0.5231, IoU.arcade machine: 0.8701, IoU.hovel: 0.0571, IoU.bus: 0.9425, IoU.towel: 0.7216, IoU.light: 0.6285, IoU.truck: 0.3278, IoU.tower: 0.2724, IoU.chandelier: 0.7160, IoU.awning: 0.3355, IoU.streetlight: 0.4202, IoU.booth: 0.3387, IoU.television receiver: 0.7919, IoU.airplane: 0.5891, IoU.dirt track: 0.1566, IoU.apparel: 0.2636, IoU.pole: 0.3355, IoU.land: 0.0550, IoU.bannister: 0.1955, IoU.escalator: 0.2004, IoU.ottoman: 0.5662, IoU.bottle: 0.2760, IoU.buffet: 0.4535, IoU.poster: 0.2324, IoU.stage: 0.1572, IoU.van: 0.4961, IoU.ship: 0.0627, IoU.fountain: 0.2240, IoU.conveyer belt: 0.5565, IoU.canopy: 0.3349, IoU.washer: 0.7082, IoU.plaything: 0.3315, IoU.swimming pool: 0.6077, IoU.stool: 0.4483, IoU.barrel: 0.8121, IoU.basket: 0.3399, IoU.waterfall: 0.5762, IoU.tent: 0.9609, IoU.bag: 0.1717, IoU.minibike: 0.7423, IoU.cradle: 0.8529, IoU.oven: 0.2818, IoU.ball: 0.4715, IoU.food: 0.5440, IoU.step: 0.1457, IoU.tank: 0.4054, IoU.trade name: 0.3078, IoU.microwave: 0.4037, IoU.pot: 0.5000, IoU.animal: 0.5533, IoU.bicycle: 0.5667, IoU.lake: 0.3838, IoU.dishwasher: 0.8140, IoU.screen: 0.5509, IoU.blanket: 0.3082, IoU.sculpture: 0.7342, IoU.hood: 0.8502, IoU.sconce: 0.5383, IoU.vase: 0.4913, IoU.traffic light: 0.4446, IoU.tray: 0.1242, IoU.ashcan: 0.5496, IoU.fan: 0.7220, IoU.pier: 0.3036, IoU.crt screen: 0.0317, IoU.plate: 0.4030, IoU.monitor: 0.0894, IoU.bulletin board: 0.5381, IoU.shower: 0.0502, IoU.radiator: 0.7148, IoU.glass: 0.1748, IoU.clock: 0.5661, IoU.flag: 0.4565, Acc.wall: 0.8737, Acc.building: 0.9143, Acc.sky: 0.9736, Acc.floor: 0.9160, Acc.tree: 0.8674, Acc.ceiling: 0.9148, Acc.road: 0.9149, Acc.bed : 0.9535, Acc.windowpane: 0.8125, Acc.grass: 0.8209, Acc.cabinet: 0.7860, Acc.sidewalk: 0.7936, Acc.person: 0.9315, Acc.earth: 0.5814, Acc.door: 0.6646, Acc.table: 0.8115, Acc.mountain: 0.7997, Acc.plant: 0.6835, Acc.curtain: 0.8867, Acc.chair: 0.7440, Acc.car: 0.9218, Acc.water: 0.6830, Acc.painting: 0.8846, Acc.sofa: 0.8195, Acc.shelf: 0.5816, Acc.house: 0.7418, Acc.sea: 0.9024, Acc.mirror: 0.8401, Acc.rug: 0.7840, Acc.field: 0.5050, Acc.armchair: 0.6959, Acc.seat: 0.8051, Acc.fence: 0.6948, Acc.desk: 0.7192, Acc.rock: 0.7841, Acc.wardrobe: 0.5895, Acc.lamp: 0.8406, Acc.bathtub: 0.8630, Acc.railing: 0.5493, Acc.cushion: 0.7667, Acc.base: 0.4489, Acc.box: 0.3835, Acc.column: 0.6430, Acc.signboard: 0.5294, Acc.chest of drawers: 0.6121, Acc.counter: 0.4133, Acc.sand: 0.4620, Acc.sink: 0.8143, Acc.skyscraper: 0.4637, Acc.fireplace: 0.9243, Acc.refrigerator: 0.8349, Acc.grandstand: 0.6866, Acc.path: 0.4742, Acc.stairs: 0.2991, Acc.runway: 0.9232, Acc.case: 0.8083, Acc.pool table: 0.9763, Acc.pillow: 0.7660, Acc.screen door: 0.8764, Acc.stairway: 0.4302, Acc.river: 0.1869, Acc.bridge: 0.8826, Acc.bookcase: 0.6465, Acc.blind: 0.5253, Acc.coffee table: 0.8692, Acc.toilet: 0.9198, Acc.flower: 0.6537, Acc.book: 0.7344, Acc.hill: 0.1460, Acc.bench: 0.5055, Acc.countertop: 0.7626, Acc.stove: 0.8871, Acc.palm: 0.7597, Acc.kitchen island: 0.8988, Acc.computer: 0.7956, Acc.swivel chair: 0.5418, Acc.boat: 0.8401, Acc.bar: 0.6674, Acc.arcade machine: 0.9224, Acc.hovel: 0.0798, Acc.bus: 0.9706, Acc.towel: 0.8070, Acc.light: 0.7490, Acc.truck: 0.5204, Acc.tower: 0.4895, Acc.chandelier: 0.8761, Acc.awning: 0.4435, Acc.streetlight: 0.6333, Acc.booth: 0.6139, Acc.television receiver: 0.8725, Acc.airplane: 0.6698, Acc.dirt track: 0.5286, Acc.apparel: 0.4994, Acc.pole: 0.5251, Acc.land: 0.0929, Acc.bannister: 0.3336, Acc.escalator: 0.2110, Acc.ottoman: 0.7289, Acc.bottle: 0.3353, Acc.buffet: 0.5509, Acc.poster: 0.3578, Acc.stage: 0.2982, Acc.van: 0.7511, Acc.ship: 0.1062, Acc.fountain: 0.2754, Acc.conveyer belt: 0.9432, Acc.canopy: 0.4678, Acc.washer: 0.7348, Acc.plaything: 0.4630, Acc.swimming pool: 0.6642, Acc.stool: 0.6809, Acc.barrel: 0.9812, Acc.basket: 0.4353, Acc.waterfall: 0.9164, Acc.tent: 0.9812, Acc.bag: 0.2063, Acc.minibike: 0.9220, Acc.cradle: 0.9727, Acc.oven: 0.7959, Acc.ball: 0.5449, Acc.food: 0.6349, Acc.step: 0.2094, Acc.tank: 0.6614, Acc.trade name: 0.3779, Acc.microwave: 0.4292, Acc.pot: 0.5647, Acc.animal: 0.5670, Acc.bicycle: 0.7836, Acc.lake: 0.6360, Acc.dishwasher: 0.8813, Acc.screen: 0.8397, Acc.blanket: 0.3846, Acc.sculpture: 0.8745, Acc.hood: 0.9175, Acc.sconce: 0.6761, Acc.vase: 0.6734, Acc.traffic light: 0.6875, Acc.tray: 0.2962, Acc.ashcan: 0.7081, Acc.fan: 0.8533, Acc.pier: 0.4461, Acc.crt screen: 0.1047, Acc.plate: 0.4865, Acc.monitor: 0.1197, Acc.bulletin board: 0.7873, Acc.shower: 0.2220, Acc.radiator: 0.8600, Acc.glass: 0.2234, Acc.clock: 0.6737, Acc.flag: 0.5210 2023-11-12 17:05:21,457 - mmseg - INFO - Iter [132050/160000] lr: 1.747e-05, eta: 3:52:50, time: 0.858, data_time: 0.398, memory: 41146, decode.loss_cls: 0.1469, decode.loss_mask: 0.3998, decode.loss_dice: 0.6193, decode.d0.loss_cls: 1.1069, decode.d0.loss_mask: 0.4285, decode.d0.loss_dice: 0.6721, decode.d1.loss_cls: 0.1989, decode.d1.loss_mask: 0.4084, decode.d1.loss_dice: 0.6447, decode.d2.loss_cls: 0.1688, decode.d2.loss_mask: 0.4047, decode.d2.loss_dice: 0.6341, decode.d3.loss_cls: 0.1609, decode.d3.loss_mask: 0.4007, decode.d3.loss_dice: 0.6238, decode.d4.loss_cls: 0.1508, decode.d4.loss_mask: 0.4004, decode.d4.loss_dice: 0.6233, decode.d5.loss_cls: 0.1511, decode.d5.loss_mask: 0.3991, decode.d5.loss_dice: 0.6241, decode.d6.loss_cls: 0.1469, decode.d6.loss_mask: 0.3991, decode.d6.loss_dice: 0.6203, decode.d7.loss_cls: 0.1456, decode.d7.loss_mask: 0.3994, decode.d7.loss_dice: 0.6171, decode.d8.loss_cls: 0.1455, decode.d8.loss_mask: 0.3994, decode.d8.loss_dice: 0.6196, loss: 12.8603, grad_norm: 42.4800 2023-11-12 17:05:45,037 - mmseg - INFO - Iter [132100/160000] lr: 1.744e-05, eta: 3:52:24, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1411, decode.loss_mask: 0.4169, decode.loss_dice: 0.6155, decode.d0.loss_cls: 1.0857, decode.d0.loss_mask: 0.4540, decode.d0.loss_dice: 0.6679, decode.d1.loss_cls: 0.1987, decode.d1.loss_mask: 0.4311, decode.d1.loss_dice: 0.6452, decode.d2.loss_cls: 0.1707, decode.d2.loss_mask: 0.4245, decode.d2.loss_dice: 0.6323, decode.d3.loss_cls: 0.1527, decode.d3.loss_mask: 0.4214, decode.d3.loss_dice: 0.6209, decode.d4.loss_cls: 0.1533, decode.d4.loss_mask: 0.4189, decode.d4.loss_dice: 0.6212, decode.d5.loss_cls: 0.1489, decode.d5.loss_mask: 0.4194, decode.d5.loss_dice: 0.6169, decode.d6.loss_cls: 0.1454, decode.d6.loss_mask: 0.4174, decode.d6.loss_dice: 0.6132, decode.d7.loss_cls: 0.1452, decode.d7.loss_mask: 0.4169, decode.d7.loss_dice: 0.6139, decode.d8.loss_cls: 0.1417, decode.d8.loss_mask: 0.4183, decode.d8.loss_dice: 0.6155, loss: 12.9846, grad_norm: 50.6611 2023-11-12 17:06:08,703 - mmseg - INFO - Iter [132150/160000] lr: 1.741e-05, eta: 3:51:59, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1460, decode.loss_mask: 0.4237, decode.loss_dice: 0.6483, decode.d0.loss_cls: 1.1208, decode.d0.loss_mask: 0.4496, decode.d0.loss_dice: 0.6940, decode.d1.loss_cls: 0.2016, decode.d1.loss_mask: 0.4341, decode.d1.loss_dice: 0.6731, decode.d2.loss_cls: 0.1741, decode.d2.loss_mask: 0.4267, decode.d2.loss_dice: 0.6617, decode.d3.loss_cls: 0.1625, decode.d3.loss_mask: 0.4225, decode.d3.loss_dice: 0.6491, decode.d4.loss_cls: 0.1572, decode.d4.loss_mask: 0.4239, decode.d4.loss_dice: 0.6467, decode.d5.loss_cls: 0.1527, decode.d5.loss_mask: 0.4223, decode.d5.loss_dice: 0.6484, decode.d6.loss_cls: 0.1491, decode.d6.loss_mask: 0.4225, decode.d6.loss_dice: 0.6440, decode.d7.loss_cls: 0.1501, decode.d7.loss_mask: 0.4224, decode.d7.loss_dice: 0.6483, decode.d8.loss_cls: 0.1479, decode.d8.loss_mask: 0.4217, decode.d8.loss_dice: 0.6447, loss: 13.3895, grad_norm: 49.9415 2023-11-12 17:06:32,584 - mmseg - INFO - Iter [132200/160000] lr: 1.738e-05, eta: 3:51:34, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1376, decode.loss_mask: 0.4008, decode.loss_dice: 0.6219, decode.d0.loss_cls: 1.0978, decode.d0.loss_mask: 0.4301, decode.d0.loss_dice: 0.6723, decode.d1.loss_cls: 0.1855, decode.d1.loss_mask: 0.4128, decode.d1.loss_dice: 0.6520, decode.d2.loss_cls: 0.1633, decode.d2.loss_mask: 0.4057, decode.d2.loss_dice: 0.6341, decode.d3.loss_cls: 0.1523, decode.d3.loss_mask: 0.4015, decode.d3.loss_dice: 0.6236, decode.d4.loss_cls: 0.1479, decode.d4.loss_mask: 0.4002, decode.d4.loss_dice: 0.6256, decode.d5.loss_cls: 0.1454, decode.d5.loss_mask: 0.4015, decode.d5.loss_dice: 0.6218, decode.d6.loss_cls: 0.1475, decode.d6.loss_mask: 0.4009, decode.d6.loss_dice: 0.6211, decode.d7.loss_cls: 0.1370, decode.d7.loss_mask: 0.4002, decode.d7.loss_dice: 0.6223, decode.d8.loss_cls: 0.1398, decode.d8.loss_mask: 0.4002, decode.d8.loss_dice: 0.6199, loss: 12.8227, grad_norm: 43.6844 2023-11-12 17:06:56,516 - mmseg - INFO - Iter [132250/160000] lr: 1.734e-05, eta: 3:51:09, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1615, decode.loss_mask: 0.4029, decode.loss_dice: 0.6227, decode.d0.loss_cls: 1.1134, decode.d0.loss_mask: 0.4362, decode.d0.loss_dice: 0.6845, decode.d1.loss_cls: 0.2180, decode.d1.loss_mask: 0.4147, decode.d1.loss_dice: 0.6524, decode.d2.loss_cls: 0.1840, decode.d2.loss_mask: 0.4101, decode.d2.loss_dice: 0.6445, decode.d3.loss_cls: 0.1701, decode.d3.loss_mask: 0.4077, decode.d3.loss_dice: 0.6307, decode.d4.loss_cls: 0.1625, decode.d4.loss_mask: 0.4062, decode.d4.loss_dice: 0.6297, decode.d5.loss_cls: 0.1605, decode.d5.loss_mask: 0.4058, decode.d5.loss_dice: 0.6297, decode.d6.loss_cls: 0.1613, decode.d6.loss_mask: 0.4049, decode.d6.loss_dice: 0.6278, decode.d7.loss_cls: 0.1565, decode.d7.loss_mask: 0.4057, decode.d7.loss_dice: 0.6269, decode.d8.loss_cls: 0.1565, decode.d8.loss_mask: 0.4053, decode.d8.loss_dice: 0.6246, loss: 13.1171, grad_norm: 51.2138 2023-11-12 17:07:20,139 - mmseg - INFO - Iter [132300/160000] lr: 1.731e-05, eta: 3:50:43, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1411, decode.loss_mask: 0.4025, decode.loss_dice: 0.6348, decode.d0.loss_cls: 1.0830, decode.d0.loss_mask: 0.4361, decode.d0.loss_dice: 0.6918, decode.d1.loss_cls: 0.2026, decode.d1.loss_mask: 0.4160, decode.d1.loss_dice: 0.6614, decode.d2.loss_cls: 0.1721, decode.d2.loss_mask: 0.4089, decode.d2.loss_dice: 0.6510, decode.d3.loss_cls: 0.1592, decode.d3.loss_mask: 0.4056, decode.d3.loss_dice: 0.6433, decode.d4.loss_cls: 0.1519, decode.d4.loss_mask: 0.4055, decode.d4.loss_dice: 0.6430, decode.d5.loss_cls: 0.1512, decode.d5.loss_mask: 0.4043, decode.d5.loss_dice: 0.6355, decode.d6.loss_cls: 0.1424, decode.d6.loss_mask: 0.4037, decode.d6.loss_dice: 0.6381, decode.d7.loss_cls: 0.1442, decode.d7.loss_mask: 0.4035, decode.d7.loss_dice: 0.6377, decode.d8.loss_cls: 0.1429, decode.d8.loss_mask: 0.4036, decode.d8.loss_dice: 0.6381, loss: 13.0550, grad_norm: 44.1250 2023-11-12 17:07:43,859 - mmseg - INFO - Iter [132350/160000] lr: 1.728e-05, eta: 3:50:18, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1534, decode.loss_mask: 0.4242, decode.loss_dice: 0.6484, decode.d0.loss_cls: 1.1460, decode.d0.loss_mask: 0.4513, decode.d0.loss_dice: 0.7046, decode.d1.loss_cls: 0.2223, decode.d1.loss_mask: 0.4373, decode.d1.loss_dice: 0.6761, decode.d2.loss_cls: 0.1943, decode.d2.loss_mask: 0.4279, decode.d2.loss_dice: 0.6632, decode.d3.loss_cls: 0.1769, decode.d3.loss_mask: 0.4242, decode.d3.loss_dice: 0.6489, decode.d4.loss_cls: 0.1672, decode.d4.loss_mask: 0.4248, decode.d4.loss_dice: 0.6473, decode.d5.loss_cls: 0.1630, decode.d5.loss_mask: 0.4237, decode.d5.loss_dice: 0.6498, decode.d6.loss_cls: 0.1570, decode.d6.loss_mask: 0.4235, decode.d6.loss_dice: 0.6470, decode.d7.loss_cls: 0.1555, decode.d7.loss_mask: 0.4232, decode.d7.loss_dice: 0.6453, decode.d8.loss_cls: 0.1522, decode.d8.loss_mask: 0.4231, decode.d8.loss_dice: 0.6488, loss: 13.5507, grad_norm: 50.6237 2023-11-12 17:08:07,556 - mmseg - INFO - Iter [132400/160000] lr: 1.725e-05, eta: 3:49:53, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1428, decode.loss_mask: 0.4087, decode.loss_dice: 0.6348, decode.d0.loss_cls: 1.1144, decode.d0.loss_mask: 0.4356, decode.d0.loss_dice: 0.6859, decode.d1.loss_cls: 0.2043, decode.d1.loss_mask: 0.4205, decode.d1.loss_dice: 0.6609, decode.d2.loss_cls: 0.1730, decode.d2.loss_mask: 0.4127, decode.d2.loss_dice: 0.6489, decode.d3.loss_cls: 0.1615, decode.d3.loss_mask: 0.4092, decode.d3.loss_dice: 0.6378, decode.d4.loss_cls: 0.1507, decode.d4.loss_mask: 0.4102, decode.d4.loss_dice: 0.6394, decode.d5.loss_cls: 0.1498, decode.d5.loss_mask: 0.4083, decode.d5.loss_dice: 0.6379, decode.d6.loss_cls: 0.1488, decode.d6.loss_mask: 0.4087, decode.d6.loss_dice: 0.6371, decode.d7.loss_cls: 0.1473, decode.d7.loss_mask: 0.4087, decode.d7.loss_dice: 0.6360, decode.d8.loss_cls: 0.1414, decode.d8.loss_mask: 0.4080, decode.d8.loss_dice: 0.6368, loss: 13.1201, grad_norm: 42.2512 2023-11-12 17:08:31,162 - mmseg - INFO - Iter [132450/160000] lr: 1.722e-05, eta: 3:49:28, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1604, decode.loss_mask: 0.4224, decode.loss_dice: 0.6266, decode.d0.loss_cls: 1.1210, decode.d0.loss_mask: 0.4592, decode.d0.loss_dice: 0.6736, decode.d1.loss_cls: 0.2149, decode.d1.loss_mask: 0.4347, decode.d1.loss_dice: 0.6549, decode.d2.loss_cls: 0.1862, decode.d2.loss_mask: 0.4281, decode.d2.loss_dice: 0.6394, decode.d3.loss_cls: 0.1746, decode.d3.loss_mask: 0.4265, decode.d3.loss_dice: 0.6324, decode.d4.loss_cls: 0.1667, decode.d4.loss_mask: 0.4248, decode.d4.loss_dice: 0.6317, decode.d5.loss_cls: 0.1670, decode.d5.loss_mask: 0.4242, decode.d5.loss_dice: 0.6337, decode.d6.loss_cls: 0.1638, decode.d6.loss_mask: 0.4244, decode.d6.loss_dice: 0.6283, decode.d7.loss_cls: 0.1633, decode.d7.loss_mask: 0.4236, decode.d7.loss_dice: 0.6247, decode.d8.loss_cls: 0.1594, decode.d8.loss_mask: 0.4235, decode.d8.loss_dice: 0.6258, loss: 13.3398, grad_norm: 46.8040 2023-11-12 17:08:54,873 - mmseg - INFO - Iter [132500/160000] lr: 1.719e-05, eta: 3:49:02, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1332, decode.loss_mask: 0.4211, decode.loss_dice: 0.6171, decode.d0.loss_cls: 1.0768, decode.d0.loss_mask: 0.4550, decode.d0.loss_dice: 0.6717, decode.d1.loss_cls: 0.1949, decode.d1.loss_mask: 0.4336, decode.d1.loss_dice: 0.6481, decode.d2.loss_cls: 0.1634, decode.d2.loss_mask: 0.4266, decode.d2.loss_dice: 0.6389, decode.d3.loss_cls: 0.1487, decode.d3.loss_mask: 0.4224, decode.d3.loss_dice: 0.6216, decode.d4.loss_cls: 0.1437, decode.d4.loss_mask: 0.4231, decode.d4.loss_dice: 0.6211, decode.d5.loss_cls: 0.1403, decode.d5.loss_mask: 0.4229, decode.d5.loss_dice: 0.6235, decode.d6.loss_cls: 0.1395, decode.d6.loss_mask: 0.4226, decode.d6.loss_dice: 0.6173, decode.d7.loss_cls: 0.1360, decode.d7.loss_mask: 0.4216, decode.d7.loss_dice: 0.6214, decode.d8.loss_cls: 0.1286, decode.d8.loss_mask: 0.4220, decode.d8.loss_dice: 0.6211, loss: 12.9776, grad_norm: 48.0125 2023-11-12 17:09:18,523 - mmseg - INFO - Iter [132550/160000] lr: 1.716e-05, eta: 3:48:37, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1633, decode.loss_mask: 0.4094, decode.loss_dice: 0.6573, decode.d0.loss_cls: 1.1515, decode.d0.loss_mask: 0.4404, decode.d0.loss_dice: 0.7161, decode.d1.loss_cls: 0.2316, decode.d1.loss_mask: 0.4228, decode.d1.loss_dice: 0.6920, decode.d2.loss_cls: 0.1982, decode.d2.loss_mask: 0.4139, decode.d2.loss_dice: 0.6745, decode.d3.loss_cls: 0.1879, decode.d3.loss_mask: 0.4128, decode.d3.loss_dice: 0.6628, decode.d4.loss_cls: 0.1733, decode.d4.loss_mask: 0.4122, decode.d4.loss_dice: 0.6645, decode.d5.loss_cls: 0.1691, decode.d5.loss_mask: 0.4107, decode.d5.loss_dice: 0.6624, decode.d6.loss_cls: 0.1646, decode.d6.loss_mask: 0.4107, decode.d6.loss_dice: 0.6574, decode.d7.loss_cls: 0.1629, decode.d7.loss_mask: 0.4097, decode.d7.loss_dice: 0.6578, decode.d8.loss_cls: 0.1603, decode.d8.loss_mask: 0.4086, decode.d8.loss_dice: 0.6587, loss: 13.6174, grad_norm: 44.8531 2023-11-12 17:09:42,208 - mmseg - INFO - Iter [132600/160000] lr: 1.713e-05, eta: 3:48:12, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1429, decode.loss_mask: 0.4003, decode.loss_dice: 0.6133, decode.d0.loss_cls: 1.0919, decode.d0.loss_mask: 0.4279, decode.d0.loss_dice: 0.6609, decode.d1.loss_cls: 0.1968, decode.d1.loss_mask: 0.4117, decode.d1.loss_dice: 0.6387, decode.d2.loss_cls: 0.1806, decode.d2.loss_mask: 0.4050, decode.d2.loss_dice: 0.6264, decode.d3.loss_cls: 0.1622, decode.d3.loss_mask: 0.4031, decode.d3.loss_dice: 0.6146, decode.d4.loss_cls: 0.1539, decode.d4.loss_mask: 0.4023, decode.d4.loss_dice: 0.6193, decode.d5.loss_cls: 0.1535, decode.d5.loss_mask: 0.4017, decode.d5.loss_dice: 0.6139, decode.d6.loss_cls: 0.1507, decode.d6.loss_mask: 0.3999, decode.d6.loss_dice: 0.6134, decode.d7.loss_cls: 0.1506, decode.d7.loss_mask: 0.4000, decode.d7.loss_dice: 0.6135, decode.d8.loss_cls: 0.1450, decode.d8.loss_mask: 0.4013, decode.d8.loss_dice: 0.6134, loss: 12.8088, grad_norm: 44.2497 2023-11-12 17:10:08,412 - mmseg - INFO - Iter [132650/160000] lr: 1.709e-05, eta: 3:47:47, time: 0.524, data_time: 0.060, memory: 41146, decode.loss_cls: 0.1469, decode.loss_mask: 0.4079, decode.loss_dice: 0.6308, decode.d0.loss_cls: 1.1521, decode.d0.loss_mask: 0.4354, decode.d0.loss_dice: 0.6828, decode.d1.loss_cls: 0.2164, decode.d1.loss_mask: 0.4189, decode.d1.loss_dice: 0.6628, decode.d2.loss_cls: 0.1832, decode.d2.loss_mask: 0.4119, decode.d2.loss_dice: 0.6411, decode.d3.loss_cls: 0.1612, decode.d3.loss_mask: 0.4086, decode.d3.loss_dice: 0.6333, decode.d4.loss_cls: 0.1580, decode.d4.loss_mask: 0.4077, decode.d4.loss_dice: 0.6331, decode.d5.loss_cls: 0.1542, decode.d5.loss_mask: 0.4077, decode.d5.loss_dice: 0.6310, decode.d6.loss_cls: 0.1499, decode.d6.loss_mask: 0.4077, decode.d6.loss_dice: 0.6315, decode.d7.loss_cls: 0.1491, decode.d7.loss_mask: 0.4071, decode.d7.loss_dice: 0.6347, decode.d8.loss_cls: 0.1470, decode.d8.loss_mask: 0.4074, decode.d8.loss_dice: 0.6284, loss: 13.1476, grad_norm: 44.5334 2023-11-12 17:10:32,193 - mmseg - INFO - Iter [132700/160000] lr: 1.706e-05, eta: 3:47:22, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1446, decode.loss_mask: 0.4170, decode.loss_dice: 0.6451, decode.d0.loss_cls: 1.1347, decode.d0.loss_mask: 0.4517, decode.d0.loss_dice: 0.7060, decode.d1.loss_cls: 0.2108, decode.d1.loss_mask: 0.4312, decode.d1.loss_dice: 0.6754, decode.d2.loss_cls: 0.1776, decode.d2.loss_mask: 0.4229, decode.d2.loss_dice: 0.6608, decode.d3.loss_cls: 0.1696, decode.d3.loss_mask: 0.4198, decode.d3.loss_dice: 0.6505, decode.d4.loss_cls: 0.1548, decode.d4.loss_mask: 0.4194, decode.d4.loss_dice: 0.6461, decode.d5.loss_cls: 0.1558, decode.d5.loss_mask: 0.4188, decode.d5.loss_dice: 0.6488, decode.d6.loss_cls: 0.1532, decode.d6.loss_mask: 0.4178, decode.d6.loss_dice: 0.6415, decode.d7.loss_cls: 0.1491, decode.d7.loss_mask: 0.4181, decode.d7.loss_dice: 0.6435, decode.d8.loss_cls: 0.1443, decode.d8.loss_mask: 0.4178, decode.d8.loss_dice: 0.6437, loss: 13.3905, grad_norm: 44.6264 2023-11-12 17:10:55,979 - mmseg - INFO - Iter [132750/160000] lr: 1.703e-05, eta: 3:46:57, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1497, decode.loss_mask: 0.4203, decode.loss_dice: 0.6432, decode.d0.loss_cls: 1.1060, decode.d0.loss_mask: 0.4503, decode.d0.loss_dice: 0.6980, decode.d1.loss_cls: 0.2118, decode.d1.loss_mask: 0.4317, decode.d1.loss_dice: 0.6745, decode.d2.loss_cls: 0.1774, decode.d2.loss_mask: 0.4244, decode.d2.loss_dice: 0.6605, decode.d3.loss_cls: 0.1658, decode.d3.loss_mask: 0.4214, decode.d3.loss_dice: 0.6455, decode.d4.loss_cls: 0.1618, decode.d4.loss_mask: 0.4192, decode.d4.loss_dice: 0.6392, decode.d5.loss_cls: 0.1596, decode.d5.loss_mask: 0.4192, decode.d5.loss_dice: 0.6418, decode.d6.loss_cls: 0.1536, decode.d6.loss_mask: 0.4193, decode.d6.loss_dice: 0.6387, decode.d7.loss_cls: 0.1532, decode.d7.loss_mask: 0.4190, decode.d7.loss_dice: 0.6416, decode.d8.loss_cls: 0.1506, decode.d8.loss_mask: 0.4194, decode.d8.loss_dice: 0.6439, loss: 13.3608, grad_norm: 47.1487 2023-11-12 17:11:19,735 - mmseg - INFO - Iter [132800/160000] lr: 1.700e-05, eta: 3:46:31, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1575, decode.loss_mask: 0.4219, decode.loss_dice: 0.6373, decode.d0.loss_cls: 1.1045, decode.d0.loss_mask: 0.4550, decode.d0.loss_dice: 0.6860, decode.d1.loss_cls: 0.2158, decode.d1.loss_mask: 0.4343, decode.d1.loss_dice: 0.6675, decode.d2.loss_cls: 0.1849, decode.d2.loss_mask: 0.4280, decode.d2.loss_dice: 0.6514, decode.d3.loss_cls: 0.1741, decode.d3.loss_mask: 0.4249, decode.d3.loss_dice: 0.6412, decode.d4.loss_cls: 0.1684, decode.d4.loss_mask: 0.4250, decode.d4.loss_dice: 0.6373, decode.d5.loss_cls: 0.1655, decode.d5.loss_mask: 0.4243, decode.d5.loss_dice: 0.6403, decode.d6.loss_cls: 0.1635, decode.d6.loss_mask: 0.4215, decode.d6.loss_dice: 0.6354, decode.d7.loss_cls: 0.1603, decode.d7.loss_mask: 0.4225, decode.d7.loss_dice: 0.6389, decode.d8.loss_cls: 0.1576, decode.d8.loss_mask: 0.4229, decode.d8.loss_dice: 0.6361, loss: 13.4037, grad_norm: 47.2483 2023-11-12 17:11:43,391 - mmseg - INFO - Iter [132850/160000] lr: 1.697e-05, eta: 3:46:06, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1524, decode.loss_mask: 0.4128, decode.loss_dice: 0.6276, decode.d0.loss_cls: 1.0955, decode.d0.loss_mask: 0.4468, decode.d0.loss_dice: 0.6855, decode.d1.loss_cls: 0.2028, decode.d1.loss_mask: 0.4234, decode.d1.loss_dice: 0.6554, decode.d2.loss_cls: 0.1753, decode.d2.loss_mask: 0.4195, decode.d2.loss_dice: 0.6425, decode.d3.loss_cls: 0.1709, decode.d3.loss_mask: 0.4152, decode.d3.loss_dice: 0.6330, decode.d4.loss_cls: 0.1677, decode.d4.loss_mask: 0.4149, decode.d4.loss_dice: 0.6309, decode.d5.loss_cls: 0.1600, decode.d5.loss_mask: 0.4143, decode.d5.loss_dice: 0.6333, decode.d6.loss_cls: 0.1571, decode.d6.loss_mask: 0.4134, decode.d6.loss_dice: 0.6303, decode.d7.loss_cls: 0.1554, decode.d7.loss_mask: 0.4128, decode.d7.loss_dice: 0.6301, decode.d8.loss_cls: 0.1533, decode.d8.loss_mask: 0.4129, decode.d8.loss_dice: 0.6294, loss: 13.1744, grad_norm: 44.4126 2023-11-12 17:12:07,073 - mmseg - INFO - Iter [132900/160000] lr: 1.694e-05, eta: 3:45:41, time: 0.474, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1365, decode.loss_mask: 0.4043, decode.loss_dice: 0.6100, decode.d0.loss_cls: 1.0915, decode.d0.loss_mask: 0.4369, decode.d0.loss_dice: 0.6615, decode.d1.loss_cls: 0.1984, decode.d1.loss_mask: 0.4182, decode.d1.loss_dice: 0.6359, decode.d2.loss_cls: 0.1640, decode.d2.loss_mask: 0.4127, decode.d2.loss_dice: 0.6246, decode.d3.loss_cls: 0.1499, decode.d3.loss_mask: 0.4081, decode.d3.loss_dice: 0.6117, decode.d4.loss_cls: 0.1489, decode.d4.loss_mask: 0.4068, decode.d4.loss_dice: 0.6087, decode.d5.loss_cls: 0.1415, decode.d5.loss_mask: 0.4065, decode.d5.loss_dice: 0.6115, decode.d6.loss_cls: 0.1427, decode.d6.loss_mask: 0.4054, decode.d6.loss_dice: 0.6096, decode.d7.loss_cls: 0.1391, decode.d7.loss_mask: 0.4060, decode.d7.loss_dice: 0.6072, decode.d8.loss_cls: 0.1335, decode.d8.loss_mask: 0.4047, decode.d8.loss_dice: 0.6094, loss: 12.7457, grad_norm: 43.6916 2023-11-12 17:12:30,709 - mmseg - INFO - Iter [132950/160000] lr: 1.691e-05, eta: 3:45:16, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1459, decode.loss_mask: 0.4214, decode.loss_dice: 0.6393, decode.d0.loss_cls: 1.0730, decode.d0.loss_mask: 0.4486, decode.d0.loss_dice: 0.6893, decode.d1.loss_cls: 0.2096, decode.d1.loss_mask: 0.4332, decode.d1.loss_dice: 0.6678, decode.d2.loss_cls: 0.1791, decode.d2.loss_mask: 0.4262, decode.d2.loss_dice: 0.6516, decode.d3.loss_cls: 0.1651, decode.d3.loss_mask: 0.4230, decode.d3.loss_dice: 0.6438, decode.d4.loss_cls: 0.1606, decode.d4.loss_mask: 0.4209, decode.d4.loss_dice: 0.6452, decode.d5.loss_cls: 0.1536, decode.d5.loss_mask: 0.4201, decode.d5.loss_dice: 0.6453, decode.d6.loss_cls: 0.1546, decode.d6.loss_mask: 0.4203, decode.d6.loss_dice: 0.6398, decode.d7.loss_cls: 0.1513, decode.d7.loss_mask: 0.4202, decode.d7.loss_dice: 0.6384, decode.d8.loss_cls: 0.1506, decode.d8.loss_mask: 0.4213, decode.d8.loss_dice: 0.6409, loss: 13.2998, grad_norm: 48.1584 2023-11-12 17:12:54,357 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 17:12:54,357 - mmseg - INFO - Iter [133000/160000] lr: 1.688e-05, eta: 3:44:50, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1268, decode.loss_mask: 0.4074, decode.loss_dice: 0.6049, decode.d0.loss_cls: 1.0819, decode.d0.loss_mask: 0.4368, decode.d0.loss_dice: 0.6520, decode.d1.loss_cls: 0.1867, decode.d1.loss_mask: 0.4189, decode.d1.loss_dice: 0.6339, decode.d2.loss_cls: 0.1497, decode.d2.loss_mask: 0.4138, decode.d2.loss_dice: 0.6201, decode.d3.loss_cls: 0.1378, decode.d3.loss_mask: 0.4102, decode.d3.loss_dice: 0.6137, decode.d4.loss_cls: 0.1337, decode.d4.loss_mask: 0.4079, decode.d4.loss_dice: 0.6076, decode.d5.loss_cls: 0.1261, decode.d5.loss_mask: 0.4079, decode.d5.loss_dice: 0.6101, decode.d6.loss_cls: 0.1251, decode.d6.loss_mask: 0.4082, decode.d6.loss_dice: 0.6062, decode.d7.loss_cls: 0.1243, decode.d7.loss_mask: 0.4074, decode.d7.loss_dice: 0.6046, decode.d8.loss_cls: 0.1241, decode.d8.loss_mask: 0.4080, decode.d8.loss_dice: 0.6078, loss: 12.6034, grad_norm: 42.6376 2023-11-12 17:13:18,229 - mmseg - INFO - Iter [133050/160000] lr: 1.684e-05, eta: 3:44:25, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1477, decode.loss_mask: 0.4225, decode.loss_dice: 0.6373, decode.d0.loss_cls: 1.0989, decode.d0.loss_mask: 0.4528, decode.d0.loss_dice: 0.6900, decode.d1.loss_cls: 0.2028, decode.d1.loss_mask: 0.4362, decode.d1.loss_dice: 0.6668, decode.d2.loss_cls: 0.1759, decode.d2.loss_mask: 0.4292, decode.d2.loss_dice: 0.6537, decode.d3.loss_cls: 0.1651, decode.d3.loss_mask: 0.4247, decode.d3.loss_dice: 0.6462, decode.d4.loss_cls: 0.1601, decode.d4.loss_mask: 0.4254, decode.d4.loss_dice: 0.6462, decode.d5.loss_cls: 0.1525, decode.d5.loss_mask: 0.4234, decode.d5.loss_dice: 0.6434, decode.d6.loss_cls: 0.1528, decode.d6.loss_mask: 0.4256, decode.d6.loss_dice: 0.6442, decode.d7.loss_cls: 0.1474, decode.d7.loss_mask: 0.4250, decode.d7.loss_dice: 0.6397, decode.d8.loss_cls: 0.1466, decode.d8.loss_mask: 0.4244, decode.d8.loss_dice: 0.6414, loss: 13.3476, grad_norm: 46.0177 2023-11-12 17:13:41,945 - mmseg - INFO - Iter [133100/160000] lr: 1.681e-05, eta: 3:44:00, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1432, decode.loss_mask: 0.4251, decode.loss_dice: 0.6437, decode.d0.loss_cls: 1.0939, decode.d0.loss_mask: 0.4534, decode.d0.loss_dice: 0.6986, decode.d1.loss_cls: 0.2005, decode.d1.loss_mask: 0.4344, decode.d1.loss_dice: 0.6692, decode.d2.loss_cls: 0.1785, decode.d2.loss_mask: 0.4287, decode.d2.loss_dice: 0.6550, decode.d3.loss_cls: 0.1616, decode.d3.loss_mask: 0.4262, decode.d3.loss_dice: 0.6507, decode.d4.loss_cls: 0.1496, decode.d4.loss_mask: 0.4269, decode.d4.loss_dice: 0.6471, decode.d5.loss_cls: 0.1524, decode.d5.loss_mask: 0.4259, decode.d5.loss_dice: 0.6484, decode.d6.loss_cls: 0.1477, decode.d6.loss_mask: 0.4251, decode.d6.loss_dice: 0.6434, decode.d7.loss_cls: 0.1442, decode.d7.loss_mask: 0.4246, decode.d7.loss_dice: 0.6474, decode.d8.loss_cls: 0.1427, decode.d8.loss_mask: 0.4260, decode.d8.loss_dice: 0.6455, loss: 13.3600, grad_norm: 48.5533 2023-11-12 17:14:05,882 - mmseg - INFO - Iter [133150/160000] lr: 1.678e-05, eta: 3:43:35, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1382, decode.loss_mask: 0.4082, decode.loss_dice: 0.6181, decode.d0.loss_cls: 1.0861, decode.d0.loss_mask: 0.4440, decode.d0.loss_dice: 0.6696, decode.d1.loss_cls: 0.2063, decode.d1.loss_mask: 0.4215, decode.d1.loss_dice: 0.6427, decode.d2.loss_cls: 0.1686, decode.d2.loss_mask: 0.4145, decode.d2.loss_dice: 0.6306, decode.d3.loss_cls: 0.1585, decode.d3.loss_mask: 0.4112, decode.d3.loss_dice: 0.6213, decode.d4.loss_cls: 0.1535, decode.d4.loss_mask: 0.4098, decode.d4.loss_dice: 0.6172, decode.d5.loss_cls: 0.1514, decode.d5.loss_mask: 0.4092, decode.d5.loss_dice: 0.6184, decode.d6.loss_cls: 0.1482, decode.d6.loss_mask: 0.4081, decode.d6.loss_dice: 0.6151, decode.d7.loss_cls: 0.1423, decode.d7.loss_mask: 0.4091, decode.d7.loss_dice: 0.6153, decode.d8.loss_cls: 0.1454, decode.d8.loss_mask: 0.4075, decode.d8.loss_dice: 0.6167, loss: 12.9065, grad_norm: 44.4714 2023-11-12 17:14:29,562 - mmseg - INFO - Iter [133200/160000] lr: 1.675e-05, eta: 3:43:09, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1487, decode.loss_mask: 0.3923, decode.loss_dice: 0.6100, decode.d0.loss_cls: 1.0979, decode.d0.loss_mask: 0.4216, decode.d0.loss_dice: 0.6642, decode.d1.loss_cls: 0.2065, decode.d1.loss_mask: 0.4039, decode.d1.loss_dice: 0.6410, decode.d2.loss_cls: 0.1764, decode.d2.loss_mask: 0.3956, decode.d2.loss_dice: 0.6252, decode.d3.loss_cls: 0.1618, decode.d3.loss_mask: 0.3941, decode.d3.loss_dice: 0.6172, decode.d4.loss_cls: 0.1619, decode.d4.loss_mask: 0.3948, decode.d4.loss_dice: 0.6157, decode.d5.loss_cls: 0.1564, decode.d5.loss_mask: 0.3937, decode.d5.loss_dice: 0.6134, decode.d6.loss_cls: 0.1548, decode.d6.loss_mask: 0.3932, decode.d6.loss_dice: 0.6085, decode.d7.loss_cls: 0.1533, decode.d7.loss_mask: 0.3930, decode.d7.loss_dice: 0.6092, decode.d8.loss_cls: 0.1473, decode.d8.loss_mask: 0.3928, decode.d8.loss_dice: 0.6139, loss: 12.7582, grad_norm: 46.1117 2023-11-12 17:14:53,410 - mmseg - INFO - Iter [133250/160000] lr: 1.672e-05, eta: 3:42:44, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1487, decode.loss_mask: 0.3993, decode.loss_dice: 0.6502, decode.d0.loss_cls: 1.1342, decode.d0.loss_mask: 0.4305, decode.d0.loss_dice: 0.7099, decode.d1.loss_cls: 0.2122, decode.d1.loss_mask: 0.4133, decode.d1.loss_dice: 0.6841, decode.d2.loss_cls: 0.1841, decode.d2.loss_mask: 0.4048, decode.d2.loss_dice: 0.6670, decode.d3.loss_cls: 0.1685, decode.d3.loss_mask: 0.4009, decode.d3.loss_dice: 0.6560, decode.d4.loss_cls: 0.1571, decode.d4.loss_mask: 0.3993, decode.d4.loss_dice: 0.6579, decode.d5.loss_cls: 0.1537, decode.d5.loss_mask: 0.3983, decode.d5.loss_dice: 0.6546, decode.d6.loss_cls: 0.1524, decode.d6.loss_mask: 0.3982, decode.d6.loss_dice: 0.6533, decode.d7.loss_cls: 0.1497, decode.d7.loss_mask: 0.3987, decode.d7.loss_dice: 0.6516, decode.d8.loss_cls: 0.1458, decode.d8.loss_mask: 0.3997, decode.d8.loss_dice: 0.6531, loss: 13.2870, grad_norm: 40.5608 2023-11-12 17:15:17,626 - mmseg - INFO - Iter [133300/160000] lr: 1.669e-05, eta: 3:42:19, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1359, decode.loss_mask: 0.4113, decode.loss_dice: 0.6206, decode.d0.loss_cls: 1.0795, decode.d0.loss_mask: 0.4404, decode.d0.loss_dice: 0.6768, decode.d1.loss_cls: 0.1919, decode.d1.loss_mask: 0.4238, decode.d1.loss_dice: 0.6536, decode.d2.loss_cls: 0.1618, decode.d2.loss_mask: 0.4163, decode.d2.loss_dice: 0.6400, decode.d3.loss_cls: 0.1531, decode.d3.loss_mask: 0.4123, decode.d3.loss_dice: 0.6282, decode.d4.loss_cls: 0.1457, decode.d4.loss_mask: 0.4133, decode.d4.loss_dice: 0.6305, decode.d5.loss_cls: 0.1430, decode.d5.loss_mask: 0.4125, decode.d5.loss_dice: 0.6249, decode.d6.loss_cls: 0.1374, decode.d6.loss_mask: 0.4116, decode.d6.loss_dice: 0.6207, decode.d7.loss_cls: 0.1339, decode.d7.loss_mask: 0.4124, decode.d7.loss_dice: 0.6252, decode.d8.loss_cls: 0.1325, decode.d8.loss_mask: 0.4120, decode.d8.loss_dice: 0.6218, loss: 12.9228, grad_norm: 45.0546 2023-11-12 17:15:41,283 - mmseg - INFO - Iter [133350/160000] lr: 1.666e-05, eta: 3:41:54, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1468, decode.loss_mask: 0.3987, decode.loss_dice: 0.6186, decode.d0.loss_cls: 1.0989, decode.d0.loss_mask: 0.4297, decode.d0.loss_dice: 0.6718, decode.d1.loss_cls: 0.2006, decode.d1.loss_mask: 0.4125, decode.d1.loss_dice: 0.6483, decode.d2.loss_cls: 0.1733, decode.d2.loss_mask: 0.4067, decode.d2.loss_dice: 0.6368, decode.d3.loss_cls: 0.1627, decode.d3.loss_mask: 0.4020, decode.d3.loss_dice: 0.6240, decode.d4.loss_cls: 0.1570, decode.d4.loss_mask: 0.4014, decode.d4.loss_dice: 0.6232, decode.d5.loss_cls: 0.1507, decode.d5.loss_mask: 0.4009, decode.d5.loss_dice: 0.6264, decode.d6.loss_cls: 0.1484, decode.d6.loss_mask: 0.4005, decode.d6.loss_dice: 0.6171, decode.d7.loss_cls: 0.1482, decode.d7.loss_mask: 0.3991, decode.d7.loss_dice: 0.6199, decode.d8.loss_cls: 0.1500, decode.d8.loss_mask: 0.3993, decode.d8.loss_dice: 0.6207, loss: 12.8939, grad_norm: 50.5057 2023-11-12 17:16:04,965 - mmseg - INFO - Iter [133400/160000] lr: 1.663e-05, eta: 3:41:29, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1399, decode.loss_mask: 0.4111, decode.loss_dice: 0.6113, decode.d0.loss_cls: 1.0991, decode.d0.loss_mask: 0.4404, decode.d0.loss_dice: 0.6645, decode.d1.loss_cls: 0.2012, decode.d1.loss_mask: 0.4201, decode.d1.loss_dice: 0.6408, decode.d2.loss_cls: 0.1696, decode.d2.loss_mask: 0.4152, decode.d2.loss_dice: 0.6261, decode.d3.loss_cls: 0.1559, decode.d3.loss_mask: 0.4120, decode.d3.loss_dice: 0.6156, decode.d4.loss_cls: 0.1508, decode.d4.loss_mask: 0.4114, decode.d4.loss_dice: 0.6142, decode.d5.loss_cls: 0.1497, decode.d5.loss_mask: 0.4105, decode.d5.loss_dice: 0.6146, decode.d6.loss_cls: 0.1489, decode.d6.loss_mask: 0.4095, decode.d6.loss_dice: 0.6112, decode.d7.loss_cls: 0.1482, decode.d7.loss_mask: 0.4093, decode.d7.loss_dice: 0.6039, decode.d8.loss_cls: 0.1463, decode.d8.loss_mask: 0.4100, decode.d8.loss_dice: 0.6123, loss: 12.8734, grad_norm: 47.3488 2023-11-12 17:16:28,849 - mmseg - INFO - Iter [133450/160000] lr: 1.659e-05, eta: 3:41:03, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1463, decode.loss_mask: 0.4202, decode.loss_dice: 0.6416, decode.d0.loss_cls: 1.1319, decode.d0.loss_mask: 0.4514, decode.d0.loss_dice: 0.6925, decode.d1.loss_cls: 0.1986, decode.d1.loss_mask: 0.4318, decode.d1.loss_dice: 0.6743, decode.d2.loss_cls: 0.1730, decode.d2.loss_mask: 0.4275, decode.d2.loss_dice: 0.6607, decode.d3.loss_cls: 0.1619, decode.d3.loss_mask: 0.4241, decode.d3.loss_dice: 0.6482, decode.d4.loss_cls: 0.1542, decode.d4.loss_mask: 0.4234, decode.d4.loss_dice: 0.6483, decode.d5.loss_cls: 0.1508, decode.d5.loss_mask: 0.4222, decode.d5.loss_dice: 0.6465, decode.d6.loss_cls: 0.1521, decode.d6.loss_mask: 0.4211, decode.d6.loss_dice: 0.6413, decode.d7.loss_cls: 0.1437, decode.d7.loss_mask: 0.4207, decode.d7.loss_dice: 0.6440, decode.d8.loss_cls: 0.1456, decode.d8.loss_mask: 0.4217, decode.d8.loss_dice: 0.6431, loss: 13.3631, grad_norm: 45.4730 2023-11-12 17:16:52,675 - mmseg - INFO - Iter [133500/160000] lr: 1.656e-05, eta: 3:40:38, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1440, decode.loss_mask: 0.4080, decode.loss_dice: 0.6213, decode.d0.loss_cls: 1.0884, decode.d0.loss_mask: 0.4372, decode.d0.loss_dice: 0.6641, decode.d1.loss_cls: 0.2015, decode.d1.loss_mask: 0.4194, decode.d1.loss_dice: 0.6481, decode.d2.loss_cls: 0.1705, decode.d2.loss_mask: 0.4122, decode.d2.loss_dice: 0.6330, decode.d3.loss_cls: 0.1642, decode.d3.loss_mask: 0.4089, decode.d3.loss_dice: 0.6210, decode.d4.loss_cls: 0.1505, decode.d4.loss_mask: 0.4072, decode.d4.loss_dice: 0.6192, decode.d5.loss_cls: 0.1531, decode.d5.loss_mask: 0.4089, decode.d5.loss_dice: 0.6207, decode.d6.loss_cls: 0.1441, decode.d6.loss_mask: 0.4094, decode.d6.loss_dice: 0.6189, decode.d7.loss_cls: 0.1436, decode.d7.loss_mask: 0.4084, decode.d7.loss_dice: 0.6161, decode.d8.loss_cls: 0.1428, decode.d8.loss_mask: 0.4077, decode.d8.loss_dice: 0.6191, loss: 12.9113, grad_norm: 42.4205 2023-11-12 17:17:16,501 - mmseg - INFO - Iter [133550/160000] lr: 1.653e-05, eta: 3:40:13, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1366, decode.loss_mask: 0.4126, decode.loss_dice: 0.6419, decode.d0.loss_cls: 1.1083, decode.d0.loss_mask: 0.4425, decode.d0.loss_dice: 0.6876, decode.d1.loss_cls: 0.2002, decode.d1.loss_mask: 0.4231, decode.d1.loss_dice: 0.6661, decode.d2.loss_cls: 0.1655, decode.d2.loss_mask: 0.4175, decode.d2.loss_dice: 0.6516, decode.d3.loss_cls: 0.1487, decode.d3.loss_mask: 0.4136, decode.d3.loss_dice: 0.6433, decode.d4.loss_cls: 0.1449, decode.d4.loss_mask: 0.4123, decode.d4.loss_dice: 0.6416, decode.d5.loss_cls: 0.1391, decode.d5.loss_mask: 0.4134, decode.d5.loss_dice: 0.6406, decode.d6.loss_cls: 0.1356, decode.d6.loss_mask: 0.4132, decode.d6.loss_dice: 0.6417, decode.d7.loss_cls: 0.1374, decode.d7.loss_mask: 0.4128, decode.d7.loss_dice: 0.6417, decode.d8.loss_cls: 0.1370, decode.d8.loss_mask: 0.4123, decode.d8.loss_dice: 0.6394, loss: 13.1219, grad_norm: 43.3684 2023-11-12 17:17:40,359 - mmseg - INFO - Iter [133600/160000] lr: 1.650e-05, eta: 3:39:48, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1484, decode.loss_mask: 0.3969, decode.loss_dice: 0.6135, decode.d0.loss_cls: 1.1167, decode.d0.loss_mask: 0.4264, decode.d0.loss_dice: 0.6721, decode.d1.loss_cls: 0.2101, decode.d1.loss_mask: 0.4092, decode.d1.loss_dice: 0.6374, decode.d2.loss_cls: 0.1759, decode.d2.loss_mask: 0.4036, decode.d2.loss_dice: 0.6265, decode.d3.loss_cls: 0.1656, decode.d3.loss_mask: 0.3987, decode.d3.loss_dice: 0.6137, decode.d4.loss_cls: 0.1579, decode.d4.loss_mask: 0.3984, decode.d4.loss_dice: 0.6145, decode.d5.loss_cls: 0.1551, decode.d5.loss_mask: 0.3978, decode.d5.loss_dice: 0.6159, decode.d6.loss_cls: 0.1521, decode.d6.loss_mask: 0.3961, decode.d6.loss_dice: 0.6100, decode.d7.loss_cls: 0.1508, decode.d7.loss_mask: 0.3965, decode.d7.loss_dice: 0.6144, decode.d8.loss_cls: 0.1480, decode.d8.loss_mask: 0.3973, decode.d8.loss_dice: 0.6113, loss: 12.8307, grad_norm: 48.8759 2023-11-12 17:18:04,141 - mmseg - INFO - Iter [133650/160000] lr: 1.647e-05, eta: 3:39:23, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1454, decode.loss_mask: 0.4032, decode.loss_dice: 0.6168, decode.d0.loss_cls: 1.1166, decode.d0.loss_mask: 0.4343, decode.d0.loss_dice: 0.6730, decode.d1.loss_cls: 0.1972, decode.d1.loss_mask: 0.4155, decode.d1.loss_dice: 0.6413, decode.d2.loss_cls: 0.1764, decode.d2.loss_mask: 0.4086, decode.d2.loss_dice: 0.6297, decode.d3.loss_cls: 0.1640, decode.d3.loss_mask: 0.4052, decode.d3.loss_dice: 0.6188, decode.d4.loss_cls: 0.1581, decode.d4.loss_mask: 0.4038, decode.d4.loss_dice: 0.6190, decode.d5.loss_cls: 0.1546, decode.d5.loss_mask: 0.4044, decode.d5.loss_dice: 0.6226, decode.d6.loss_cls: 0.1505, decode.d6.loss_mask: 0.4038, decode.d6.loss_dice: 0.6169, decode.d7.loss_cls: 0.1512, decode.d7.loss_mask: 0.4033, decode.d7.loss_dice: 0.6147, decode.d8.loss_cls: 0.1468, decode.d8.loss_mask: 0.4034, decode.d8.loss_dice: 0.6171, loss: 12.9161, grad_norm: 43.5528 2023-11-12 17:18:27,843 - mmseg - INFO - Iter [133700/160000] lr: 1.644e-05, eta: 3:38:57, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1498, decode.loss_mask: 0.4165, decode.loss_dice: 0.6274, decode.d0.loss_cls: 1.1072, decode.d0.loss_mask: 0.4491, decode.d0.loss_dice: 0.6810, decode.d1.loss_cls: 0.2121, decode.d1.loss_mask: 0.4286, decode.d1.loss_dice: 0.6576, decode.d2.loss_cls: 0.1848, decode.d2.loss_mask: 0.4231, decode.d2.loss_dice: 0.6417, decode.d3.loss_cls: 0.1673, decode.d3.loss_mask: 0.4211, decode.d3.loss_dice: 0.6310, decode.d4.loss_cls: 0.1606, decode.d4.loss_mask: 0.4193, decode.d4.loss_dice: 0.6306, decode.d5.loss_cls: 0.1573, decode.d5.loss_mask: 0.4185, decode.d5.loss_dice: 0.6296, decode.d6.loss_cls: 0.1549, decode.d6.loss_mask: 0.4178, decode.d6.loss_dice: 0.6297, decode.d7.loss_cls: 0.1556, decode.d7.loss_mask: 0.4171, decode.d7.loss_dice: 0.6275, decode.d8.loss_cls: 0.1505, decode.d8.loss_mask: 0.4178, decode.d8.loss_dice: 0.6288, loss: 13.2140, grad_norm: 49.5897 2023-11-12 17:18:51,543 - mmseg - INFO - Iter [133750/160000] lr: 1.641e-05, eta: 3:38:32, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1538, decode.loss_mask: 0.4144, decode.loss_dice: 0.6367, decode.d0.loss_cls: 1.1018, decode.d0.loss_mask: 0.4442, decode.d0.loss_dice: 0.6867, decode.d1.loss_cls: 0.2090, decode.d1.loss_mask: 0.4278, decode.d1.loss_dice: 0.6660, decode.d2.loss_cls: 0.1797, decode.d2.loss_mask: 0.4215, decode.d2.loss_dice: 0.6502, decode.d3.loss_cls: 0.1717, decode.d3.loss_mask: 0.4161, decode.d3.loss_dice: 0.6398, decode.d4.loss_cls: 0.1631, decode.d4.loss_mask: 0.4156, decode.d4.loss_dice: 0.6369, decode.d5.loss_cls: 0.1636, decode.d5.loss_mask: 0.4156, decode.d5.loss_dice: 0.6360, decode.d6.loss_cls: 0.1590, decode.d6.loss_mask: 0.4156, decode.d6.loss_dice: 0.6372, decode.d7.loss_cls: 0.1587, decode.d7.loss_mask: 0.4143, decode.d7.loss_dice: 0.6369, decode.d8.loss_cls: 0.1528, decode.d8.loss_mask: 0.4139, decode.d8.loss_dice: 0.6384, loss: 13.2769, grad_norm: 44.7760 2023-11-12 17:19:15,198 - mmseg - INFO - Iter [133800/160000] lr: 1.638e-05, eta: 3:38:07, time: 0.473, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1531, decode.loss_mask: 0.4180, decode.loss_dice: 0.6325, decode.d0.loss_cls: 1.0974, decode.d0.loss_mask: 0.4490, decode.d0.loss_dice: 0.6844, decode.d1.loss_cls: 0.2097, decode.d1.loss_mask: 0.4308, decode.d1.loss_dice: 0.6534, decode.d2.loss_cls: 0.1800, decode.d2.loss_mask: 0.4262, decode.d2.loss_dice: 0.6482, decode.d3.loss_cls: 0.1712, decode.d3.loss_mask: 0.4215, decode.d3.loss_dice: 0.6364, decode.d4.loss_cls: 0.1660, decode.d4.loss_mask: 0.4207, decode.d4.loss_dice: 0.6343, decode.d5.loss_cls: 0.1578, decode.d5.loss_mask: 0.4215, decode.d5.loss_dice: 0.6356, decode.d6.loss_cls: 0.1594, decode.d6.loss_mask: 0.4194, decode.d6.loss_dice: 0.6319, decode.d7.loss_cls: 0.1567, decode.d7.loss_mask: 0.4181, decode.d7.loss_dice: 0.6336, decode.d8.loss_cls: 0.1564, decode.d8.loss_mask: 0.4187, decode.d8.loss_dice: 0.6345, loss: 13.2764, grad_norm: 46.9854 2023-11-12 17:19:39,067 - mmseg - INFO - Iter [133850/160000] lr: 1.634e-05, eta: 3:37:42, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1412, decode.loss_mask: 0.4129, decode.loss_dice: 0.6285, decode.d0.loss_cls: 1.0987, decode.d0.loss_mask: 0.4482, decode.d0.loss_dice: 0.6779, decode.d1.loss_cls: 0.1921, decode.d1.loss_mask: 0.4252, decode.d1.loss_dice: 0.6540, decode.d2.loss_cls: 0.1634, decode.d2.loss_mask: 0.4190, decode.d2.loss_dice: 0.6450, decode.d3.loss_cls: 0.1493, decode.d3.loss_mask: 0.4169, decode.d3.loss_dice: 0.6345, decode.d4.loss_cls: 0.1425, decode.d4.loss_mask: 0.4145, decode.d4.loss_dice: 0.6336, decode.d5.loss_cls: 0.1397, decode.d5.loss_mask: 0.4133, decode.d5.loss_dice: 0.6316, decode.d6.loss_cls: 0.1397, decode.d6.loss_mask: 0.4142, decode.d6.loss_dice: 0.6310, decode.d7.loss_cls: 0.1390, decode.d7.loss_mask: 0.4131, decode.d7.loss_dice: 0.6280, decode.d8.loss_cls: 0.1366, decode.d8.loss_mask: 0.4129, decode.d8.loss_dice: 0.6278, loss: 13.0244, grad_norm: 46.1241 2023-11-12 17:20:05,262 - mmseg - INFO - Iter [133900/160000] lr: 1.631e-05, eta: 3:37:17, time: 0.524, data_time: 0.060, memory: 41146, decode.loss_cls: 0.1415, decode.loss_mask: 0.4201, decode.loss_dice: 0.6207, decode.d0.loss_cls: 1.0683, decode.d0.loss_mask: 0.4512, decode.d0.loss_dice: 0.6747, decode.d1.loss_cls: 0.1978, decode.d1.loss_mask: 0.4287, decode.d1.loss_dice: 0.6466, decode.d2.loss_cls: 0.1712, decode.d2.loss_mask: 0.4232, decode.d2.loss_dice: 0.6321, decode.d3.loss_cls: 0.1584, decode.d3.loss_mask: 0.4222, decode.d3.loss_dice: 0.6240, decode.d4.loss_cls: 0.1561, decode.d4.loss_mask: 0.4216, decode.d4.loss_dice: 0.6231, decode.d5.loss_cls: 0.1498, decode.d5.loss_mask: 0.4205, decode.d5.loss_dice: 0.6207, decode.d6.loss_cls: 0.1526, decode.d6.loss_mask: 0.4202, decode.d6.loss_dice: 0.6214, decode.d7.loss_cls: 0.1458, decode.d7.loss_mask: 0.4205, decode.d7.loss_dice: 0.6200, decode.d8.loss_cls: 0.1453, decode.d8.loss_mask: 0.4199, decode.d8.loss_dice: 0.6215, loss: 13.0396, grad_norm: 45.2740 2023-11-12 17:20:28,767 - mmseg - INFO - Iter [133950/160000] lr: 1.628e-05, eta: 3:36:52, time: 0.470, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1367, decode.loss_mask: 0.4162, decode.loss_dice: 0.6199, decode.d0.loss_cls: 1.0837, decode.d0.loss_mask: 0.4478, decode.d0.loss_dice: 0.6681, decode.d1.loss_cls: 0.1993, decode.d1.loss_mask: 0.4274, decode.d1.loss_dice: 0.6460, decode.d2.loss_cls: 0.1634, decode.d2.loss_mask: 0.4194, decode.d2.loss_dice: 0.6346, decode.d3.loss_cls: 0.1543, decode.d3.loss_mask: 0.4164, decode.d3.loss_dice: 0.6232, decode.d4.loss_cls: 0.1492, decode.d4.loss_mask: 0.4150, decode.d4.loss_dice: 0.6234, decode.d5.loss_cls: 0.1441, decode.d5.loss_mask: 0.4157, decode.d5.loss_dice: 0.6241, decode.d6.loss_cls: 0.1419, decode.d6.loss_mask: 0.4156, decode.d6.loss_dice: 0.6212, decode.d7.loss_cls: 0.1341, decode.d7.loss_mask: 0.4156, decode.d7.loss_dice: 0.6233, decode.d8.loss_cls: 0.1382, decode.d8.loss_mask: 0.4152, decode.d8.loss_dice: 0.6214, loss: 12.9545, grad_norm: 46.8951 2023-11-12 17:20:52,595 - mmseg - INFO - Saving checkpoint at 134000 iterations 2023-11-12 17:20:56,293 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 17:20:56,293 - mmseg - INFO - Iter [134000/160000] lr: 1.625e-05, eta: 3:36:27, time: 0.551, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1510, decode.loss_mask: 0.4151, decode.loss_dice: 0.6362, decode.d0.loss_cls: 1.1172, decode.d0.loss_mask: 0.4460, decode.d0.loss_dice: 0.6880, decode.d1.loss_cls: 0.2125, decode.d1.loss_mask: 0.4287, decode.d1.loss_dice: 0.6630, decode.d2.loss_cls: 0.1815, decode.d2.loss_mask: 0.4223, decode.d2.loss_dice: 0.6494, decode.d3.loss_cls: 0.1723, decode.d3.loss_mask: 0.4190, decode.d3.loss_dice: 0.6370, decode.d4.loss_cls: 0.1640, decode.d4.loss_mask: 0.4190, decode.d4.loss_dice: 0.6416, decode.d5.loss_cls: 0.1593, decode.d5.loss_mask: 0.4169, decode.d5.loss_dice: 0.6353, decode.d6.loss_cls: 0.1525, decode.d6.loss_mask: 0.4162, decode.d6.loss_dice: 0.6356, decode.d7.loss_cls: 0.1532, decode.d7.loss_mask: 0.4156, decode.d7.loss_dice: 0.6344, decode.d8.loss_cls: 0.1521, decode.d8.loss_mask: 0.4152, decode.d8.loss_dice: 0.6348, loss: 13.2847, grad_norm: 45.9345 2023-11-12 17:21:15,040 - mmseg - INFO - per class results: 2023-11-12 17:21:15,045 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.09 | 87.78 | | building | 82.84 | 91.34 | | sky | 94.36 | 96.84 | | floor | 83.3 | 90.47 | | tree | 74.57 | 87.56 | | ceiling | 84.58 | 90.66 | | road | 84.86 | 91.01 | | bed | 91.18 | 95.8 | | windowpane | 64.24 | 81.46 | | grass | 64.04 | 74.31 | | cabinet | 63.76 | 75.25 | | sidewalk | 69.6 | 80.95 | | person | 84.47 | 93.65 | | earth | 38.8 | 58.63 | | door | 51.78 | 67.8 | | table | 67.41 | 80.39 | | mountain | 68.53 | 79.9 | | plant | 52.66 | 68.01 | | curtain | 79.39 | 87.64 | | chair | 63.47 | 75.09 | | car | 84.03 | 91.99 | | water | 58.42 | 74.05 | | painting | 75.56 | 89.4 | | sofa | 69.41 | 81.61 | | shelf | 46.54 | 64.91 | | house | 37.81 | 67.14 | | sea | 69.19 | 90.25 | | mirror | 73.1 | 83.02 | | rug | 64.92 | 80.44 | | field | 35.91 | 52.5 | | armchair | 48.62 | 69.64 | | seat | 63.91 | 84.15 | | fence | 51.4 | 70.89 | | desk | 51.92 | 72.41 | | rock | 52.52 | 78.56 | | wardrobe | 45.15 | 64.68 | | lamp | 73.77 | 86.34 | | bathtub | 79.33 | 83.92 | | railing | 35.48 | 54.06 | | cushion | 64.36 | 78.07 | | base | 33.43 | 52.34 | | box | 30.03 | 41.5 | | column | 50.55 | 65.99 | | signboard | 36.37 | 54.23 | | chest of drawers | 42.6 | 65.6 | | counter | 29.94 | 36.96 | | sand | 33.82 | 45.56 | | sink | 78.52 | 84.15 | | skyscraper | 36.07 | 42.68 | | fireplace | 78.97 | 92.22 | | refrigerator | 80.4 | 88.97 | | grandstand | 38.4 | 69.69 | | path | 30.11 | 44.25 | | stairs | 30.75 | 38.09 | | runway | 78.68 | 91.59 | | case | 68.59 | 83.63 | | pool table | 95.19 | 97.76 | | pillow | 63.45 | 78.3 | | screen door | 75.08 | 90.77 | | stairway | 33.22 | 42.83 | | river | 16.07 | 26.52 | | bridge | 75.49 | 89.0 | | bookcase | 39.29 | 63.32 | | blind | 47.07 | 51.88 | | coffee table | 64.52 | 85.49 | | toilet | 89.46 | 92.22 | | flower | 46.94 | 65.15 | | book | 48.96 | 74.55 | | hill | 5.12 | 11.55 | | bench | 56.13 | 71.38 | | countertop | 63.78 | 73.25 | | stove | 84.12 | 88.62 | | palm | 56.01 | 75.73 | | kitchen island | 53.49 | 81.68 | | computer | 71.57 | 78.11 | | swivel chair | 37.08 | 60.5 | | boat | 47.38 | 53.55 | | bar | 53.34 | 65.1 | | arcade machine | 87.11 | 92.83 | | hovel | 5.21 | 8.0 | | bus | 93.67 | 96.54 | | towel | 71.33 | 80.86 | | light | 61.17 | 74.55 | | truck | 31.39 | 58.19 | | tower | 29.14 | 48.55 | | chandelier | 75.76 | 87.09 | | awning | 32.0 | 47.11 | | streetlight | 42.69 | 64.39 | | booth | 31.36 | 63.72 | | television receiver | 73.45 | 80.68 | | airplane | 64.27 | 71.41 | | dirt track | 10.98 | 29.79 | | apparel | 27.01 | 49.12 | | pole | 30.38 | 44.47 | | land | 4.3 | 9.32 | | bannister | 20.56 | 31.92 | | escalator | 20.12 | 20.96 | | ottoman | 61.82 | 75.33 | | bottle | 38.39 | 52.09 | | buffet | 46.35 | 54.09 | | poster | 19.06 | 31.57 | | stage | 21.89 | 33.02 | | van | 46.11 | 62.99 | | ship | 5.38 | 10.61 | | fountain | 24.05 | 30.12 | | conveyer belt | 59.54 | 87.47 | | canopy | 32.3 | 47.6 | | washer | 71.38 | 74.22 | | plaything | 36.05 | 51.55 | | swimming pool | 39.12 | 42.81 | | stool | 44.77 | 74.43 | | barrel | 75.68 | 97.74 | | basket | 34.74 | 44.44 | | waterfall | 64.66 | 91.34 | | tent | 95.5 | 98.13 | | bag | 18.67 | 23.31 | | minibike | 73.53 | 90.81 | | cradle | 76.41 | 97.67 | | oven | 24.49 | 67.56 | | ball | 55.26 | 70.21 | | food | 61.75 | 77.16 | | step | 15.36 | 23.15 | | tank | 57.34 | 66.17 | | trade name | 27.37 | 33.19 | | microwave | 41.57 | 45.92 | | pot | 49.88 | 56.56 | | animal | 56.82 | 58.1 | | bicycle | 53.92 | 75.53 | | lake | 56.22 | 63.6 | | dishwasher | 78.89 | 84.28 | | screen | 61.14 | 93.7 | | blanket | 24.26 | 31.2 | | sculpture | 69.06 | 86.05 | | hood | 68.74 | 76.11 | | sconce | 53.96 | 64.51 | | vase | 51.69 | 66.45 | | traffic light | 44.49 | 67.59 | | tray | 16.39 | 32.22 | | ashcan | 53.44 | 66.17 | | fan | 70.86 | 85.69 | | pier | 32.88 | 43.41 | | crt screen | 2.88 | 8.88 | | plate | 59.88 | 75.29 | | monitor | 9.95 | 14.31 | | bulletin board | 49.32 | 74.84 | | shower | 6.09 | 20.05 | | radiator | 69.61 | 84.24 | | glass | 17.76 | 22.91 | | clock | 57.89 | 69.17 | | flag | 34.05 | 39.1 | +---------------------+-------+-------+ 2023-11-12 17:21:15,045 - mmseg - INFO - Summary: 2023-11-12 17:21:15,045 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.02 | 52.37 | 65.74 | +-------+-------+-------+ 2023-11-12 17:21:15,046 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 17:21:15,046 - mmseg - INFO - Iter(val) [250] aAcc: 0.8402, mIoU: 0.5237, mAcc: 0.6574, IoU.wall: 0.7909, IoU.building: 0.8284, IoU.sky: 0.9436, IoU.floor: 0.8330, IoU.tree: 0.7457, IoU.ceiling: 0.8458, IoU.road: 0.8486, IoU.bed : 0.9118, IoU.windowpane: 0.6424, IoU.grass: 0.6404, IoU.cabinet: 0.6376, IoU.sidewalk: 0.6960, IoU.person: 0.8447, IoU.earth: 0.3880, IoU.door: 0.5178, IoU.table: 0.6741, IoU.mountain: 0.6853, IoU.plant: 0.5266, IoU.curtain: 0.7939, IoU.chair: 0.6347, IoU.car: 0.8403, IoU.water: 0.5842, IoU.painting: 0.7556, IoU.sofa: 0.6941, IoU.shelf: 0.4654, IoU.house: 0.3781, IoU.sea: 0.6919, IoU.mirror: 0.7310, IoU.rug: 0.6492, IoU.field: 0.3591, IoU.armchair: 0.4862, IoU.seat: 0.6391, IoU.fence: 0.5140, IoU.desk: 0.5192, IoU.rock: 0.5252, IoU.wardrobe: 0.4515, IoU.lamp: 0.7377, IoU.bathtub: 0.7933, IoU.railing: 0.3548, IoU.cushion: 0.6436, IoU.base: 0.3343, IoU.box: 0.3003, IoU.column: 0.5055, IoU.signboard: 0.3637, IoU.chest of drawers: 0.4260, IoU.counter: 0.2994, IoU.sand: 0.3382, IoU.sink: 0.7852, IoU.skyscraper: 0.3607, IoU.fireplace: 0.7897, IoU.refrigerator: 0.8040, IoU.grandstand: 0.3840, IoU.path: 0.3011, IoU.stairs: 0.3075, IoU.runway: 0.7868, IoU.case: 0.6859, IoU.pool table: 0.9519, IoU.pillow: 0.6345, IoU.screen door: 0.7508, IoU.stairway: 0.3322, IoU.river: 0.1607, IoU.bridge: 0.7549, IoU.bookcase: 0.3929, IoU.blind: 0.4707, IoU.coffee table: 0.6452, IoU.toilet: 0.8946, IoU.flower: 0.4694, IoU.book: 0.4896, IoU.hill: 0.0512, IoU.bench: 0.5613, IoU.countertop: 0.6378, IoU.stove: 0.8412, IoU.palm: 0.5601, IoU.kitchen island: 0.5349, IoU.computer: 0.7157, IoU.swivel chair: 0.3708, IoU.boat: 0.4738, IoU.bar: 0.5334, IoU.arcade machine: 0.8711, IoU.hovel: 0.0521, IoU.bus: 0.9367, IoU.towel: 0.7133, IoU.light: 0.6117, IoU.truck: 0.3139, IoU.tower: 0.2914, IoU.chandelier: 0.7576, IoU.awning: 0.3200, IoU.streetlight: 0.4269, IoU.booth: 0.3136, IoU.television receiver: 0.7345, IoU.airplane: 0.6427, IoU.dirt track: 0.1098, IoU.apparel: 0.2701, IoU.pole: 0.3038, IoU.land: 0.0430, IoU.bannister: 0.2056, IoU.escalator: 0.2012, IoU.ottoman: 0.6182, IoU.bottle: 0.3839, IoU.buffet: 0.4635, IoU.poster: 0.1906, IoU.stage: 0.2189, IoU.van: 0.4611, IoU.ship: 0.0538, IoU.fountain: 0.2405, IoU.conveyer belt: 0.5954, IoU.canopy: 0.3230, IoU.washer: 0.7138, IoU.plaything: 0.3605, IoU.swimming pool: 0.3912, IoU.stool: 0.4477, IoU.barrel: 0.7568, IoU.basket: 0.3474, IoU.waterfall: 0.6466, IoU.tent: 0.9550, IoU.bag: 0.1867, IoU.minibike: 0.7353, IoU.cradle: 0.7641, IoU.oven: 0.2449, IoU.ball: 0.5526, IoU.food: 0.6175, IoU.step: 0.1536, IoU.tank: 0.5734, IoU.trade name: 0.2737, IoU.microwave: 0.4157, IoU.pot: 0.4988, IoU.animal: 0.5682, IoU.bicycle: 0.5392, IoU.lake: 0.5622, IoU.dishwasher: 0.7889, IoU.screen: 0.6114, IoU.blanket: 0.2426, IoU.sculpture: 0.6906, IoU.hood: 0.6874, IoU.sconce: 0.5396, IoU.vase: 0.5169, IoU.traffic light: 0.4449, IoU.tray: 0.1639, IoU.ashcan: 0.5344, IoU.fan: 0.7086, IoU.pier: 0.3288, IoU.crt screen: 0.0288, IoU.plate: 0.5988, IoU.monitor: 0.0995, IoU.bulletin board: 0.4932, IoU.shower: 0.0609, IoU.radiator: 0.6961, IoU.glass: 0.1776, IoU.clock: 0.5789, IoU.flag: 0.3405, Acc.wall: 0.8778, Acc.building: 0.9134, Acc.sky: 0.9684, Acc.floor: 0.9047, Acc.tree: 0.8756, Acc.ceiling: 0.9066, Acc.road: 0.9101, Acc.bed : 0.9580, Acc.windowpane: 0.8146, Acc.grass: 0.7431, Acc.cabinet: 0.7525, Acc.sidewalk: 0.8095, Acc.person: 0.9365, Acc.earth: 0.5863, Acc.door: 0.6780, Acc.table: 0.8039, Acc.mountain: 0.7990, Acc.plant: 0.6801, Acc.curtain: 0.8764, Acc.chair: 0.7509, Acc.car: 0.9199, Acc.water: 0.7405, Acc.painting: 0.8940, Acc.sofa: 0.8161, Acc.shelf: 0.6491, Acc.house: 0.6714, Acc.sea: 0.9025, Acc.mirror: 0.8302, Acc.rug: 0.8044, Acc.field: 0.5250, Acc.armchair: 0.6964, Acc.seat: 0.8415, Acc.fence: 0.7089, Acc.desk: 0.7241, Acc.rock: 0.7856, Acc.wardrobe: 0.6468, Acc.lamp: 0.8634, Acc.bathtub: 0.8392, Acc.railing: 0.5406, Acc.cushion: 0.7807, Acc.base: 0.5234, Acc.box: 0.4150, Acc.column: 0.6599, Acc.signboard: 0.5423, Acc.chest of drawers: 0.6560, Acc.counter: 0.3696, Acc.sand: 0.4556, Acc.sink: 0.8415, Acc.skyscraper: 0.4268, Acc.fireplace: 0.9222, Acc.refrigerator: 0.8897, Acc.grandstand: 0.6969, Acc.path: 0.4425, Acc.stairs: 0.3809, Acc.runway: 0.9159, Acc.case: 0.8363, Acc.pool table: 0.9776, Acc.pillow: 0.7830, Acc.screen door: 0.9077, Acc.stairway: 0.4283, Acc.river: 0.2652, Acc.bridge: 0.8900, Acc.bookcase: 0.6332, Acc.blind: 0.5188, Acc.coffee table: 0.8549, Acc.toilet: 0.9222, Acc.flower: 0.6515, Acc.book: 0.7455, Acc.hill: 0.1155, Acc.bench: 0.7138, Acc.countertop: 0.7325, Acc.stove: 0.8862, Acc.palm: 0.7573, Acc.kitchen island: 0.8168, Acc.computer: 0.7811, Acc.swivel chair: 0.6050, Acc.boat: 0.5355, Acc.bar: 0.6510, Acc.arcade machine: 0.9283, Acc.hovel: 0.0800, Acc.bus: 0.9654, Acc.towel: 0.8086, Acc.light: 0.7455, Acc.truck: 0.5819, Acc.tower: 0.4855, Acc.chandelier: 0.8709, Acc.awning: 0.4711, Acc.streetlight: 0.6439, Acc.booth: 0.6372, Acc.television receiver: 0.8068, Acc.airplane: 0.7141, Acc.dirt track: 0.2979, Acc.apparel: 0.4912, Acc.pole: 0.4447, Acc.land: 0.0932, Acc.bannister: 0.3192, Acc.escalator: 0.2096, Acc.ottoman: 0.7533, Acc.bottle: 0.5209, Acc.buffet: 0.5409, Acc.poster: 0.3157, Acc.stage: 0.3302, Acc.van: 0.6299, Acc.ship: 0.1061, Acc.fountain: 0.3012, Acc.conveyer belt: 0.8747, Acc.canopy: 0.4760, Acc.washer: 0.7422, Acc.plaything: 0.5155, Acc.swimming pool: 0.4281, Acc.stool: 0.7443, Acc.barrel: 0.9774, Acc.basket: 0.4444, Acc.waterfall: 0.9134, Acc.tent: 0.9813, Acc.bag: 0.2331, Acc.minibike: 0.9081, Acc.cradle: 0.9767, Acc.oven: 0.6756, Acc.ball: 0.7021, Acc.food: 0.7716, Acc.step: 0.2315, Acc.tank: 0.6617, Acc.trade name: 0.3319, Acc.microwave: 0.4592, Acc.pot: 0.5656, Acc.animal: 0.5810, Acc.bicycle: 0.7553, Acc.lake: 0.6360, Acc.dishwasher: 0.8428, Acc.screen: 0.9370, Acc.blanket: 0.3120, Acc.sculpture: 0.8605, Acc.hood: 0.7611, Acc.sconce: 0.6451, Acc.vase: 0.6645, Acc.traffic light: 0.6759, Acc.tray: 0.3222, Acc.ashcan: 0.6617, Acc.fan: 0.8569, Acc.pier: 0.4341, Acc.crt screen: 0.0888, Acc.plate: 0.7529, Acc.monitor: 0.1431, Acc.bulletin board: 0.7484, Acc.shower: 0.2005, Acc.radiator: 0.8424, Acc.glass: 0.2291, Acc.clock: 0.6917, Acc.flag: 0.3910 2023-11-12 17:21:38,716 - mmseg - INFO - Iter [134050/160000] lr: 1.622e-05, eta: 3:36:06, time: 0.848, data_time: 0.388, memory: 41146, decode.loss_cls: 0.1372, decode.loss_mask: 0.3958, decode.loss_dice: 0.6245, decode.d0.loss_cls: 1.0815, decode.d0.loss_mask: 0.4240, decode.d0.loss_dice: 0.6765, decode.d1.loss_cls: 0.1992, decode.d1.loss_mask: 0.4065, decode.d1.loss_dice: 0.6478, decode.d2.loss_cls: 0.1667, decode.d2.loss_mask: 0.3995, decode.d2.loss_dice: 0.6347, decode.d3.loss_cls: 0.1514, decode.d3.loss_mask: 0.3955, decode.d3.loss_dice: 0.6231, decode.d4.loss_cls: 0.1468, decode.d4.loss_mask: 0.3965, decode.d4.loss_dice: 0.6252, decode.d5.loss_cls: 0.1450, decode.d5.loss_mask: 0.3956, decode.d5.loss_dice: 0.6223, decode.d6.loss_cls: 0.1432, decode.d6.loss_mask: 0.3952, decode.d6.loss_dice: 0.6190, decode.d7.loss_cls: 0.1406, decode.d7.loss_mask: 0.3951, decode.d7.loss_dice: 0.6205, decode.d8.loss_cls: 0.1403, decode.d8.loss_mask: 0.3961, decode.d8.loss_dice: 0.6192, loss: 12.7644, grad_norm: 41.5762 2023-11-12 17:22:02,512 - mmseg - INFO - Iter [134100/160000] lr: 1.619e-05, eta: 3:35:40, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1383, decode.loss_mask: 0.4079, decode.loss_dice: 0.6264, decode.d0.loss_cls: 1.0864, decode.d0.loss_mask: 0.4360, decode.d0.loss_dice: 0.6731, decode.d1.loss_cls: 0.1994, decode.d1.loss_mask: 0.4196, decode.d1.loss_dice: 0.6561, decode.d2.loss_cls: 0.1699, decode.d2.loss_mask: 0.4133, decode.d2.loss_dice: 0.6419, decode.d3.loss_cls: 0.1547, decode.d3.loss_mask: 0.4111, decode.d3.loss_dice: 0.6315, decode.d4.loss_cls: 0.1502, decode.d4.loss_mask: 0.4089, decode.d4.loss_dice: 0.6321, decode.d5.loss_cls: 0.1479, decode.d5.loss_mask: 0.4083, decode.d5.loss_dice: 0.6314, decode.d6.loss_cls: 0.1442, decode.d6.loss_mask: 0.4087, decode.d6.loss_dice: 0.6256, decode.d7.loss_cls: 0.1402, decode.d7.loss_mask: 0.4073, decode.d7.loss_dice: 0.6276, decode.d8.loss_cls: 0.1407, decode.d8.loss_mask: 0.4074, decode.d8.loss_dice: 0.6276, loss: 12.9736, grad_norm: 44.4996 2023-11-12 17:22:26,328 - mmseg - INFO - Iter [134150/160000] lr: 1.616e-05, eta: 3:35:15, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1464, decode.loss_mask: 0.4090, decode.loss_dice: 0.6362, decode.d0.loss_cls: 1.1140, decode.d0.loss_mask: 0.4400, decode.d0.loss_dice: 0.6838, decode.d1.loss_cls: 0.2080, decode.d1.loss_mask: 0.4230, decode.d1.loss_dice: 0.6613, decode.d2.loss_cls: 0.1737, decode.d2.loss_mask: 0.4160, decode.d2.loss_dice: 0.6494, decode.d3.loss_cls: 0.1570, decode.d3.loss_mask: 0.4155, decode.d3.loss_dice: 0.6408, decode.d4.loss_cls: 0.1517, decode.d4.loss_mask: 0.4133, decode.d4.loss_dice: 0.6399, decode.d5.loss_cls: 0.1519, decode.d5.loss_mask: 0.4102, decode.d5.loss_dice: 0.6353, decode.d6.loss_cls: 0.1484, decode.d6.loss_mask: 0.4097, decode.d6.loss_dice: 0.6323, decode.d7.loss_cls: 0.1476, decode.d7.loss_mask: 0.4090, decode.d7.loss_dice: 0.6332, decode.d8.loss_cls: 0.1424, decode.d8.loss_mask: 0.4101, decode.d8.loss_dice: 0.6392, loss: 13.1484, grad_norm: 50.6858 2023-11-12 17:22:50,522 - mmseg - INFO - Iter [134200/160000] lr: 1.613e-05, eta: 3:34:50, time: 0.484, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1453, decode.loss_mask: 0.4098, decode.loss_dice: 0.6218, decode.d0.loss_cls: 1.1380, decode.d0.loss_mask: 0.4408, decode.d0.loss_dice: 0.6724, decode.d1.loss_cls: 0.2076, decode.d1.loss_mask: 0.4217, decode.d1.loss_dice: 0.6559, decode.d2.loss_cls: 0.1767, decode.d2.loss_mask: 0.4165, decode.d2.loss_dice: 0.6380, decode.d3.loss_cls: 0.1662, decode.d3.loss_mask: 0.4137, decode.d3.loss_dice: 0.6259, decode.d4.loss_cls: 0.1575, decode.d4.loss_mask: 0.4128, decode.d4.loss_dice: 0.6257, decode.d5.loss_cls: 0.1521, decode.d5.loss_mask: 0.4101, decode.d5.loss_dice: 0.6227, decode.d6.loss_cls: 0.1501, decode.d6.loss_mask: 0.4107, decode.d6.loss_dice: 0.6232, decode.d7.loss_cls: 0.1475, decode.d7.loss_mask: 0.4103, decode.d7.loss_dice: 0.6239, decode.d8.loss_cls: 0.1454, decode.d8.loss_mask: 0.4105, decode.d8.loss_dice: 0.6186, loss: 13.0713, grad_norm: 47.5359 2023-11-12 17:23:14,353 - mmseg - INFO - Iter [134250/160000] lr: 1.609e-05, eta: 3:34:25, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1297, decode.loss_mask: 0.4150, decode.loss_dice: 0.6125, decode.d0.loss_cls: 1.0476, decode.d0.loss_mask: 0.4463, decode.d0.loss_dice: 0.6601, decode.d1.loss_cls: 0.1793, decode.d1.loss_mask: 0.4247, decode.d1.loss_dice: 0.6340, decode.d2.loss_cls: 0.1495, decode.d2.loss_mask: 0.4212, decode.d2.loss_dice: 0.6205, decode.d3.loss_cls: 0.1431, decode.d3.loss_mask: 0.4167, decode.d3.loss_dice: 0.6120, decode.d4.loss_cls: 0.1374, decode.d4.loss_mask: 0.4172, decode.d4.loss_dice: 0.6128, decode.d5.loss_cls: 0.1358, decode.d5.loss_mask: 0.4161, decode.d5.loss_dice: 0.6125, decode.d6.loss_cls: 0.1314, decode.d6.loss_mask: 0.4162, decode.d6.loss_dice: 0.6092, decode.d7.loss_cls: 0.1315, decode.d7.loss_mask: 0.4155, decode.d7.loss_dice: 0.6084, decode.d8.loss_cls: 0.1339, decode.d8.loss_mask: 0.4144, decode.d8.loss_dice: 0.6099, loss: 12.7144, grad_norm: 42.0980 2023-11-12 17:23:38,442 - mmseg - INFO - Iter [134300/160000] lr: 1.606e-05, eta: 3:34:00, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1419, decode.loss_mask: 0.4156, decode.loss_dice: 0.6392, decode.d0.loss_cls: 1.1050, decode.d0.loss_mask: 0.4465, decode.d0.loss_dice: 0.6868, decode.d1.loss_cls: 0.2048, decode.d1.loss_mask: 0.4269, decode.d1.loss_dice: 0.6648, decode.d2.loss_cls: 0.1783, decode.d2.loss_mask: 0.4184, decode.d2.loss_dice: 0.6529, decode.d3.loss_cls: 0.1648, decode.d3.loss_mask: 0.4174, decode.d3.loss_dice: 0.6403, decode.d4.loss_cls: 0.1574, decode.d4.loss_mask: 0.4163, decode.d4.loss_dice: 0.6411, decode.d5.loss_cls: 0.1514, decode.d5.loss_mask: 0.4159, decode.d5.loss_dice: 0.6390, decode.d6.loss_cls: 0.1515, decode.d6.loss_mask: 0.4165, decode.d6.loss_dice: 0.6379, decode.d7.loss_cls: 0.1482, decode.d7.loss_mask: 0.4161, decode.d7.loss_dice: 0.6391, decode.d8.loss_cls: 0.1468, decode.d8.loss_mask: 0.4157, decode.d8.loss_dice: 0.6366, loss: 13.2328, grad_norm: 46.2493 2023-11-12 17:24:02,426 - mmseg - INFO - Iter [134350/160000] lr: 1.603e-05, eta: 3:33:35, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1511, decode.loss_mask: 0.4086, decode.loss_dice: 0.6520, decode.d0.loss_cls: 1.1040, decode.d0.loss_mask: 0.4402, decode.d0.loss_dice: 0.7041, decode.d1.loss_cls: 0.2116, decode.d1.loss_mask: 0.4199, decode.d1.loss_dice: 0.6769, decode.d2.loss_cls: 0.1848, decode.d2.loss_mask: 0.4128, decode.d2.loss_dice: 0.6636, decode.d3.loss_cls: 0.1706, decode.d3.loss_mask: 0.4116, decode.d3.loss_dice: 0.6546, decode.d4.loss_cls: 0.1596, decode.d4.loss_mask: 0.4103, decode.d4.loss_dice: 0.6528, decode.d5.loss_cls: 0.1548, decode.d5.loss_mask: 0.4109, decode.d5.loss_dice: 0.6555, decode.d6.loss_cls: 0.1517, decode.d6.loss_mask: 0.4088, decode.d6.loss_dice: 0.6498, decode.d7.loss_cls: 0.1509, decode.d7.loss_mask: 0.4093, decode.d7.loss_dice: 0.6516, decode.d8.loss_cls: 0.1516, decode.d8.loss_mask: 0.4094, decode.d8.loss_dice: 0.6515, loss: 13.3449, grad_norm: 45.0472 2023-11-12 17:24:26,033 - mmseg - INFO - Iter [134400/160000] lr: 1.600e-05, eta: 3:33:09, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1303, decode.loss_mask: 0.4120, decode.loss_dice: 0.6203, decode.d0.loss_cls: 1.0797, decode.d0.loss_mask: 0.4394, decode.d0.loss_dice: 0.6704, decode.d1.loss_cls: 0.1835, decode.d1.loss_mask: 0.4263, decode.d1.loss_dice: 0.6498, decode.d2.loss_cls: 0.1584, decode.d2.loss_mask: 0.4196, decode.d2.loss_dice: 0.6346, decode.d3.loss_cls: 0.1475, decode.d3.loss_mask: 0.4151, decode.d3.loss_dice: 0.6246, decode.d4.loss_cls: 0.1413, decode.d4.loss_mask: 0.4142, decode.d4.loss_dice: 0.6257, decode.d5.loss_cls: 0.1406, decode.d5.loss_mask: 0.4132, decode.d5.loss_dice: 0.6225, decode.d6.loss_cls: 0.1367, decode.d6.loss_mask: 0.4117, decode.d6.loss_dice: 0.6247, decode.d7.loss_cls: 0.1376, decode.d7.loss_mask: 0.4118, decode.d7.loss_dice: 0.6222, decode.d8.loss_cls: 0.1316, decode.d8.loss_mask: 0.4127, decode.d8.loss_dice: 0.6207, loss: 12.8786, grad_norm: 46.0195 2023-11-12 17:24:49,604 - mmseg - INFO - Iter [134450/160000] lr: 1.597e-05, eta: 3:32:44, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1502, decode.loss_mask: 0.4164, decode.loss_dice: 0.6264, decode.d0.loss_cls: 1.1295, decode.d0.loss_mask: 0.4462, decode.d0.loss_dice: 0.6762, decode.d1.loss_cls: 0.2162, decode.d1.loss_mask: 0.4290, decode.d1.loss_dice: 0.6577, decode.d2.loss_cls: 0.1835, decode.d2.loss_mask: 0.4208, decode.d2.loss_dice: 0.6451, decode.d3.loss_cls: 0.1680, decode.d3.loss_mask: 0.4192, decode.d3.loss_dice: 0.6328, decode.d4.loss_cls: 0.1630, decode.d4.loss_mask: 0.4186, decode.d4.loss_dice: 0.6324, decode.d5.loss_cls: 0.1550, decode.d5.loss_mask: 0.4181, decode.d5.loss_dice: 0.6320, decode.d6.loss_cls: 0.1574, decode.d6.loss_mask: 0.4183, decode.d6.loss_dice: 0.6253, decode.d7.loss_cls: 0.1560, decode.d7.loss_mask: 0.4177, decode.d7.loss_dice: 0.6277, decode.d8.loss_cls: 0.1514, decode.d8.loss_mask: 0.4171, decode.d8.loss_dice: 0.6275, loss: 13.2346, grad_norm: 45.1330 2023-11-12 17:25:13,377 - mmseg - INFO - Iter [134500/160000] lr: 1.594e-05, eta: 3:32:19, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1366, decode.loss_mask: 0.4173, decode.loss_dice: 0.6133, decode.d0.loss_cls: 1.0967, decode.d0.loss_mask: 0.4494, decode.d0.loss_dice: 0.6600, decode.d1.loss_cls: 0.1993, decode.d1.loss_mask: 0.4322, decode.d1.loss_dice: 0.6437, decode.d2.loss_cls: 0.1662, decode.d2.loss_mask: 0.4227, decode.d2.loss_dice: 0.6294, decode.d3.loss_cls: 0.1534, decode.d3.loss_mask: 0.4187, decode.d3.loss_dice: 0.6181, decode.d4.loss_cls: 0.1466, decode.d4.loss_mask: 0.4188, decode.d4.loss_dice: 0.6195, decode.d5.loss_cls: 0.1439, decode.d5.loss_mask: 0.4169, decode.d5.loss_dice: 0.6164, decode.d6.loss_cls: 0.1447, decode.d6.loss_mask: 0.4160, decode.d6.loss_dice: 0.6160, decode.d7.loss_cls: 0.1385, decode.d7.loss_mask: 0.4163, decode.d7.loss_dice: 0.6128, decode.d8.loss_cls: 0.1378, decode.d8.loss_mask: 0.4149, decode.d8.loss_dice: 0.6127, loss: 12.9291, grad_norm: 45.0928 2023-11-12 17:25:36,908 - mmseg - INFO - Iter [134550/160000] lr: 1.591e-05, eta: 3:31:54, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1353, decode.loss_mask: 0.3818, decode.loss_dice: 0.6076, decode.d0.loss_cls: 1.1074, decode.d0.loss_mask: 0.4106, decode.d0.loss_dice: 0.6584, decode.d1.loss_cls: 0.2004, decode.d1.loss_mask: 0.3944, decode.d1.loss_dice: 0.6369, decode.d2.loss_cls: 0.1631, decode.d2.loss_mask: 0.3864, decode.d2.loss_dice: 0.6241, decode.d3.loss_cls: 0.1519, decode.d3.loss_mask: 0.3841, decode.d3.loss_dice: 0.6139, decode.d4.loss_cls: 0.1461, decode.d4.loss_mask: 0.3839, decode.d4.loss_dice: 0.6130, decode.d5.loss_cls: 0.1446, decode.d5.loss_mask: 0.3844, decode.d5.loss_dice: 0.6096, decode.d6.loss_cls: 0.1431, decode.d6.loss_mask: 0.3842, decode.d6.loss_dice: 0.6075, decode.d7.loss_cls: 0.1370, decode.d7.loss_mask: 0.3831, decode.d7.loss_dice: 0.6090, decode.d8.loss_cls: 0.1373, decode.d8.loss_mask: 0.3827, decode.d8.loss_dice: 0.6115, loss: 12.5332, grad_norm: 45.8209 2023-11-12 17:26:00,631 - mmseg - INFO - Iter [134600/160000] lr: 1.588e-05, eta: 3:31:28, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1497, decode.loss_mask: 0.4061, decode.loss_dice: 0.6161, decode.d0.loss_cls: 1.0891, decode.d0.loss_mask: 0.4343, decode.d0.loss_dice: 0.6679, decode.d1.loss_cls: 0.2112, decode.d1.loss_mask: 0.4170, decode.d1.loss_dice: 0.6425, decode.d2.loss_cls: 0.1834, decode.d2.loss_mask: 0.4129, decode.d2.loss_dice: 0.6337, decode.d3.loss_cls: 0.1688, decode.d3.loss_mask: 0.4098, decode.d3.loss_dice: 0.6238, decode.d4.loss_cls: 0.1558, decode.d4.loss_mask: 0.4097, decode.d4.loss_dice: 0.6242, decode.d5.loss_cls: 0.1538, decode.d5.loss_mask: 0.4082, decode.d5.loss_dice: 0.6234, decode.d6.loss_cls: 0.1538, decode.d6.loss_mask: 0.4074, decode.d6.loss_dice: 0.6213, decode.d7.loss_cls: 0.1517, decode.d7.loss_mask: 0.4055, decode.d7.loss_dice: 0.6201, decode.d8.loss_cls: 0.1463, decode.d8.loss_mask: 0.4063, decode.d8.loss_dice: 0.6161, loss: 12.9699, grad_norm: 46.6079 2023-11-12 17:26:24,357 - mmseg - INFO - Iter [134650/160000] lr: 1.584e-05, eta: 3:31:03, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1407, decode.loss_mask: 0.3991, decode.loss_dice: 0.6184, decode.d0.loss_cls: 1.1081, decode.d0.loss_mask: 0.4256, decode.d0.loss_dice: 0.6651, decode.d1.loss_cls: 0.1974, decode.d1.loss_mask: 0.4100, decode.d1.loss_dice: 0.6461, decode.d2.loss_cls: 0.1655, decode.d2.loss_mask: 0.4043, decode.d2.loss_dice: 0.6298, decode.d3.loss_cls: 0.1548, decode.d3.loss_mask: 0.4017, decode.d3.loss_dice: 0.6209, decode.d4.loss_cls: 0.1504, decode.d4.loss_mask: 0.4007, decode.d4.loss_dice: 0.6210, decode.d5.loss_cls: 0.1486, decode.d5.loss_mask: 0.4007, decode.d5.loss_dice: 0.6199, decode.d6.loss_cls: 0.1431, decode.d6.loss_mask: 0.4004, decode.d6.loss_dice: 0.6140, decode.d7.loss_cls: 0.1412, decode.d7.loss_mask: 0.3993, decode.d7.loss_dice: 0.6161, decode.d8.loss_cls: 0.1399, decode.d8.loss_mask: 0.4000, decode.d8.loss_dice: 0.6212, loss: 12.8042, grad_norm: 40.0645 2023-11-12 17:26:48,268 - mmseg - INFO - Iter [134700/160000] lr: 1.581e-05, eta: 3:30:38, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1438, decode.loss_mask: 0.4094, decode.loss_dice: 0.6229, decode.d0.loss_cls: 1.1152, decode.d0.loss_mask: 0.4398, decode.d0.loss_dice: 0.6765, decode.d1.loss_cls: 0.2067, decode.d1.loss_mask: 0.4219, decode.d1.loss_dice: 0.6548, decode.d2.loss_cls: 0.1704, decode.d2.loss_mask: 0.4160, decode.d2.loss_dice: 0.6387, decode.d3.loss_cls: 0.1624, decode.d3.loss_mask: 0.4113, decode.d3.loss_dice: 0.6280, decode.d4.loss_cls: 0.1538, decode.d4.loss_mask: 0.4098, decode.d4.loss_dice: 0.6319, decode.d5.loss_cls: 0.1520, decode.d5.loss_mask: 0.4108, decode.d5.loss_dice: 0.6286, decode.d6.loss_cls: 0.1470, decode.d6.loss_mask: 0.4111, decode.d6.loss_dice: 0.6230, decode.d7.loss_cls: 0.1455, decode.d7.loss_mask: 0.4099, decode.d7.loss_dice: 0.6259, decode.d8.loss_cls: 0.1417, decode.d8.loss_mask: 0.4102, decode.d8.loss_dice: 0.6236, loss: 13.0420, grad_norm: 42.4221 2023-11-12 17:27:12,096 - mmseg - INFO - Iter [134750/160000] lr: 1.578e-05, eta: 3:30:13, time: 0.477, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1377, decode.loss_mask: 0.4139, decode.loss_dice: 0.6228, decode.d0.loss_cls: 1.0715, decode.d0.loss_mask: 0.4489, decode.d0.loss_dice: 0.6767, decode.d1.loss_cls: 0.1967, decode.d1.loss_mask: 0.4242, decode.d1.loss_dice: 0.6495, decode.d2.loss_cls: 0.1665, decode.d2.loss_mask: 0.4171, decode.d2.loss_dice: 0.6332, decode.d3.loss_cls: 0.1521, decode.d3.loss_mask: 0.4155, decode.d3.loss_dice: 0.6252, decode.d4.loss_cls: 0.1471, decode.d4.loss_mask: 0.4136, decode.d4.loss_dice: 0.6231, decode.d5.loss_cls: 0.1406, decode.d5.loss_mask: 0.4140, decode.d5.loss_dice: 0.6262, decode.d6.loss_cls: 0.1439, decode.d6.loss_mask: 0.4135, decode.d6.loss_dice: 0.6225, decode.d7.loss_cls: 0.1404, decode.d7.loss_mask: 0.4137, decode.d7.loss_dice: 0.6208, decode.d8.loss_cls: 0.1355, decode.d8.loss_mask: 0.4133, decode.d8.loss_dice: 0.6224, loss: 12.9421, grad_norm: 45.6108 2023-11-12 17:27:35,830 - mmseg - INFO - Iter [134800/160000] lr: 1.575e-05, eta: 3:29:48, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1426, decode.loss_mask: 0.4053, decode.loss_dice: 0.6071, decode.d0.loss_cls: 1.0882, decode.d0.loss_mask: 0.4361, decode.d0.loss_dice: 0.6599, decode.d1.loss_cls: 0.2004, decode.d1.loss_mask: 0.4138, decode.d1.loss_dice: 0.6345, decode.d2.loss_cls: 0.1702, decode.d2.loss_mask: 0.4109, decode.d2.loss_dice: 0.6207, decode.d3.loss_cls: 0.1577, decode.d3.loss_mask: 0.4077, decode.d3.loss_dice: 0.6099, decode.d4.loss_cls: 0.1484, decode.d4.loss_mask: 0.4058, decode.d4.loss_dice: 0.6091, decode.d5.loss_cls: 0.1496, decode.d5.loss_mask: 0.4076, decode.d5.loss_dice: 0.6112, decode.d6.loss_cls: 0.1431, decode.d6.loss_mask: 0.4066, decode.d6.loss_dice: 0.6088, decode.d7.loss_cls: 0.1412, decode.d7.loss_mask: 0.4059, decode.d7.loss_dice: 0.6086, decode.d8.loss_cls: 0.1411, decode.d8.loss_mask: 0.4064, decode.d8.loss_dice: 0.6097, loss: 12.7683, grad_norm: 43.0485 2023-11-12 17:27:59,492 - mmseg - INFO - Iter [134850/160000] lr: 1.572e-05, eta: 3:29:22, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1413, decode.loss_mask: 0.4202, decode.loss_dice: 0.6415, decode.d0.loss_cls: 1.0668, decode.d0.loss_mask: 0.4503, decode.d0.loss_dice: 0.6906, decode.d1.loss_cls: 0.1894, decode.d1.loss_mask: 0.4326, decode.d1.loss_dice: 0.6643, decode.d2.loss_cls: 0.1661, decode.d2.loss_mask: 0.4238, decode.d2.loss_dice: 0.6491, decode.d3.loss_cls: 0.1625, decode.d3.loss_mask: 0.4200, decode.d3.loss_dice: 0.6421, decode.d4.loss_cls: 0.1536, decode.d4.loss_mask: 0.4202, decode.d4.loss_dice: 0.6421, decode.d5.loss_cls: 0.1494, decode.d5.loss_mask: 0.4212, decode.d5.loss_dice: 0.6430, decode.d6.loss_cls: 0.1448, decode.d6.loss_mask: 0.4207, decode.d6.loss_dice: 0.6396, decode.d7.loss_cls: 0.1421, decode.d7.loss_mask: 0.4201, decode.d7.loss_dice: 0.6372, decode.d8.loss_cls: 0.1418, decode.d8.loss_mask: 0.4200, decode.d8.loss_dice: 0.6387, loss: 13.1953, grad_norm: 46.7724 2023-11-12 17:28:23,167 - mmseg - INFO - Iter [134900/160000] lr: 1.569e-05, eta: 3:28:57, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1333, decode.loss_mask: 0.4078, decode.loss_dice: 0.6205, decode.d0.loss_cls: 1.0851, decode.d0.loss_mask: 0.4369, decode.d0.loss_dice: 0.6692, decode.d1.loss_cls: 0.1866, decode.d1.loss_mask: 0.4198, decode.d1.loss_dice: 0.6440, decode.d2.loss_cls: 0.1613, decode.d2.loss_mask: 0.4136, decode.d2.loss_dice: 0.6362, decode.d3.loss_cls: 0.1466, decode.d3.loss_mask: 0.4103, decode.d3.loss_dice: 0.6233, decode.d4.loss_cls: 0.1438, decode.d4.loss_mask: 0.4097, decode.d4.loss_dice: 0.6209, decode.d5.loss_cls: 0.1372, decode.d5.loss_mask: 0.4082, decode.d5.loss_dice: 0.6193, decode.d6.loss_cls: 0.1386, decode.d6.loss_mask: 0.4080, decode.d6.loss_dice: 0.6192, decode.d7.loss_cls: 0.1321, decode.d7.loss_mask: 0.4084, decode.d7.loss_dice: 0.6205, decode.d8.loss_cls: 0.1346, decode.d8.loss_mask: 0.4074, decode.d8.loss_dice: 0.6213, loss: 12.8235, grad_norm: 43.2075 2023-11-12 17:28:47,006 - mmseg - INFO - Iter [134950/160000] lr: 1.566e-05, eta: 3:28:32, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1433, decode.loss_mask: 0.3834, decode.loss_dice: 0.6245, decode.d0.loss_cls: 1.0999, decode.d0.loss_mask: 0.4109, decode.d0.loss_dice: 0.6782, decode.d1.loss_cls: 0.2010, decode.d1.loss_mask: 0.3948, decode.d1.loss_dice: 0.6541, decode.d2.loss_cls: 0.1729, decode.d2.loss_mask: 0.3891, decode.d2.loss_dice: 0.6390, decode.d3.loss_cls: 0.1600, decode.d3.loss_mask: 0.3850, decode.d3.loss_dice: 0.6305, decode.d4.loss_cls: 0.1551, decode.d4.loss_mask: 0.3846, decode.d4.loss_dice: 0.6247, decode.d5.loss_cls: 0.1492, decode.d5.loss_mask: 0.3831, decode.d5.loss_dice: 0.6248, decode.d6.loss_cls: 0.1501, decode.d6.loss_mask: 0.3823, decode.d6.loss_dice: 0.6250, decode.d7.loss_cls: 0.1475, decode.d7.loss_mask: 0.3831, decode.d7.loss_dice: 0.6268, decode.d8.loss_cls: 0.1456, decode.d8.loss_mask: 0.3830, decode.d8.loss_dice: 0.6260, loss: 12.7575, grad_norm: 41.6948 2023-11-12 17:29:10,801 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 17:29:10,802 - mmseg - INFO - Iter [135000/160000] lr: 1.563e-05, eta: 3:28:07, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1445, decode.loss_mask: 0.4110, decode.loss_dice: 0.6295, decode.d0.loss_cls: 1.0736, decode.d0.loss_mask: 0.4436, decode.d0.loss_dice: 0.6846, decode.d1.loss_cls: 0.2051, decode.d1.loss_mask: 0.4239, decode.d1.loss_dice: 0.6587, decode.d2.loss_cls: 0.1695, decode.d2.loss_mask: 0.4185, decode.d2.loss_dice: 0.6501, decode.d3.loss_cls: 0.1591, decode.d3.loss_mask: 0.4145, decode.d3.loss_dice: 0.6376, decode.d4.loss_cls: 0.1515, decode.d4.loss_mask: 0.4139, decode.d4.loss_dice: 0.6439, decode.d5.loss_cls: 0.1498, decode.d5.loss_mask: 0.4138, decode.d5.loss_dice: 0.6402, decode.d6.loss_cls: 0.1441, decode.d6.loss_mask: 0.4111, decode.d6.loss_dice: 0.6326, decode.d7.loss_cls: 0.1441, decode.d7.loss_mask: 0.4119, decode.d7.loss_dice: 0.6315, decode.d8.loss_cls: 0.1451, decode.d8.loss_mask: 0.4105, decode.d8.loss_dice: 0.6343, loss: 13.1022, grad_norm: 43.9934 2023-11-12 17:29:34,430 - mmseg - INFO - Iter [135050/160000] lr: 1.559e-05, eta: 3:27:42, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1466, decode.loss_mask: 0.4170, decode.loss_dice: 0.6225, decode.d0.loss_cls: 1.1136, decode.d0.loss_mask: 0.4508, decode.d0.loss_dice: 0.6711, decode.d1.loss_cls: 0.2019, decode.d1.loss_mask: 0.4314, decode.d1.loss_dice: 0.6526, decode.d2.loss_cls: 0.1755, decode.d2.loss_mask: 0.4227, decode.d2.loss_dice: 0.6409, decode.d3.loss_cls: 0.1625, decode.d3.loss_mask: 0.4205, decode.d3.loss_dice: 0.6300, decode.d4.loss_cls: 0.1552, decode.d4.loss_mask: 0.4200, decode.d4.loss_dice: 0.6264, decode.d5.loss_cls: 0.1525, decode.d5.loss_mask: 0.4185, decode.d5.loss_dice: 0.6261, decode.d6.loss_cls: 0.1490, decode.d6.loss_mask: 0.4176, decode.d6.loss_dice: 0.6220, decode.d7.loss_cls: 0.1461, decode.d7.loss_mask: 0.4178, decode.d7.loss_dice: 0.6263, decode.d8.loss_cls: 0.1438, decode.d8.loss_mask: 0.4172, decode.d8.loss_dice: 0.6243, loss: 13.1222, grad_norm: 48.7704 2023-11-12 17:29:58,255 - mmseg - INFO - Iter [135100/160000] lr: 1.556e-05, eta: 3:27:16, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1423, decode.loss_mask: 0.4102, decode.loss_dice: 0.6171, decode.d0.loss_cls: 1.1011, decode.d0.loss_mask: 0.4391, decode.d0.loss_dice: 0.6635, decode.d1.loss_cls: 0.1964, decode.d1.loss_mask: 0.4207, decode.d1.loss_dice: 0.6511, decode.d2.loss_cls: 0.1631, decode.d2.loss_mask: 0.4152, decode.d2.loss_dice: 0.6317, decode.d3.loss_cls: 0.1549, decode.d3.loss_mask: 0.4124, decode.d3.loss_dice: 0.6230, decode.d4.loss_cls: 0.1448, decode.d4.loss_mask: 0.4133, decode.d4.loss_dice: 0.6224, decode.d5.loss_cls: 0.1431, decode.d5.loss_mask: 0.4104, decode.d5.loss_dice: 0.6227, decode.d6.loss_cls: 0.1436, decode.d6.loss_mask: 0.4106, decode.d6.loss_dice: 0.6188, decode.d7.loss_cls: 0.1369, decode.d7.loss_mask: 0.4119, decode.d7.loss_dice: 0.6208, decode.d8.loss_cls: 0.1391, decode.d8.loss_mask: 0.4106, decode.d8.loss_dice: 0.6186, loss: 12.9095, grad_norm: 42.7746 2023-11-12 17:30:24,268 - mmseg - INFO - Iter [135150/160000] lr: 1.553e-05, eta: 3:26:52, time: 0.520, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1324, decode.loss_mask: 0.4076, decode.loss_dice: 0.6137, decode.d0.loss_cls: 1.0895, decode.d0.loss_mask: 0.4403, decode.d0.loss_dice: 0.6652, decode.d1.loss_cls: 0.1775, decode.d1.loss_mask: 0.4188, decode.d1.loss_dice: 0.6495, decode.d2.loss_cls: 0.1603, decode.d2.loss_mask: 0.4131, decode.d2.loss_dice: 0.6293, decode.d3.loss_cls: 0.1479, decode.d3.loss_mask: 0.4089, decode.d3.loss_dice: 0.6211, decode.d4.loss_cls: 0.1376, decode.d4.loss_mask: 0.4084, decode.d4.loss_dice: 0.6207, decode.d5.loss_cls: 0.1328, decode.d5.loss_mask: 0.4085, decode.d5.loss_dice: 0.6201, decode.d6.loss_cls: 0.1363, decode.d6.loss_mask: 0.4082, decode.d6.loss_dice: 0.6183, decode.d7.loss_cls: 0.1295, decode.d7.loss_mask: 0.4071, decode.d7.loss_dice: 0.6150, decode.d8.loss_cls: 0.1329, decode.d8.loss_mask: 0.4078, decode.d8.loss_dice: 0.6134, loss: 12.7717, grad_norm: 44.1513 2023-11-12 17:30:48,189 - mmseg - INFO - Iter [135200/160000] lr: 1.550e-05, eta: 3:26:26, time: 0.478, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1467, decode.loss_mask: 0.3977, decode.loss_dice: 0.6314, decode.d0.loss_cls: 1.1256, decode.d0.loss_mask: 0.4296, decode.d0.loss_dice: 0.6830, decode.d1.loss_cls: 0.2062, decode.d1.loss_mask: 0.4089, decode.d1.loss_dice: 0.6623, decode.d2.loss_cls: 0.1785, decode.d2.loss_mask: 0.4024, decode.d2.loss_dice: 0.6519, decode.d3.loss_cls: 0.1638, decode.d3.loss_mask: 0.4005, decode.d3.loss_dice: 0.6365, decode.d4.loss_cls: 0.1582, decode.d4.loss_mask: 0.3998, decode.d4.loss_dice: 0.6358, decode.d5.loss_cls: 0.1523, decode.d5.loss_mask: 0.4006, decode.d5.loss_dice: 0.6405, decode.d6.loss_cls: 0.1557, decode.d6.loss_mask: 0.3992, decode.d6.loss_dice: 0.6342, decode.d7.loss_cls: 0.1470, decode.d7.loss_mask: 0.3992, decode.d7.loss_dice: 0.6345, decode.d8.loss_cls: 0.1459, decode.d8.loss_mask: 0.3998, decode.d8.loss_dice: 0.6386, loss: 13.0665, grad_norm: 43.0407 2023-11-12 17:31:11,830 - mmseg - INFO - Iter [135250/160000] lr: 1.547e-05, eta: 3:26:01, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1269, decode.loss_mask: 0.4113, decode.loss_dice: 0.6038, decode.d0.loss_cls: 1.0702, decode.d0.loss_mask: 0.4396, decode.d0.loss_dice: 0.6497, decode.d1.loss_cls: 0.1782, decode.d1.loss_mask: 0.4246, decode.d1.loss_dice: 0.6261, decode.d2.loss_cls: 0.1530, decode.d2.loss_mask: 0.4161, decode.d2.loss_dice: 0.6153, decode.d3.loss_cls: 0.1420, decode.d3.loss_mask: 0.4120, decode.d3.loss_dice: 0.6056, decode.d4.loss_cls: 0.1357, decode.d4.loss_mask: 0.4128, decode.d4.loss_dice: 0.6033, decode.d5.loss_cls: 0.1313, decode.d5.loss_mask: 0.4139, decode.d5.loss_dice: 0.6071, decode.d6.loss_cls: 0.1311, decode.d6.loss_mask: 0.4109, decode.d6.loss_dice: 0.6047, decode.d7.loss_cls: 0.1291, decode.d7.loss_mask: 0.4107, decode.d7.loss_dice: 0.6033, decode.d8.loss_cls: 0.1282, decode.d8.loss_mask: 0.4115, decode.d8.loss_dice: 0.6026, loss: 12.6106, grad_norm: 43.3932 2023-11-12 17:31:35,492 - mmseg - INFO - Iter [135300/160000] lr: 1.544e-05, eta: 3:25:36, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1339, decode.loss_mask: 0.3881, decode.loss_dice: 0.6121, decode.d0.loss_cls: 1.0944, decode.d0.loss_mask: 0.4202, decode.d0.loss_dice: 0.6664, decode.d1.loss_cls: 0.1935, decode.d1.loss_mask: 0.4010, decode.d1.loss_dice: 0.6343, decode.d2.loss_cls: 0.1591, decode.d2.loss_mask: 0.3951, decode.d2.loss_dice: 0.6305, decode.d3.loss_cls: 0.1538, decode.d3.loss_mask: 0.3912, decode.d3.loss_dice: 0.6194, decode.d4.loss_cls: 0.1446, decode.d4.loss_mask: 0.3900, decode.d4.loss_dice: 0.6183, decode.d5.loss_cls: 0.1394, decode.d5.loss_mask: 0.3902, decode.d5.loss_dice: 0.6176, decode.d6.loss_cls: 0.1359, decode.d6.loss_mask: 0.3893, decode.d6.loss_dice: 0.6170, decode.d7.loss_cls: 0.1352, decode.d7.loss_mask: 0.3886, decode.d7.loss_dice: 0.6172, decode.d8.loss_cls: 0.1326, decode.d8.loss_mask: 0.3892, decode.d8.loss_dice: 0.6161, loss: 12.6145, grad_norm: 41.5820 2023-11-12 17:31:59,229 - mmseg - INFO - Iter [135350/160000] lr: 1.541e-05, eta: 3:25:11, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1314, decode.loss_mask: 0.4026, decode.loss_dice: 0.6176, decode.d0.loss_cls: 1.0822, decode.d0.loss_mask: 0.4266, decode.d0.loss_dice: 0.6615, decode.d1.loss_cls: 0.1898, decode.d1.loss_mask: 0.4135, decode.d1.loss_dice: 0.6379, decode.d2.loss_cls: 0.1594, decode.d2.loss_mask: 0.4070, decode.d2.loss_dice: 0.6271, decode.d3.loss_cls: 0.1505, decode.d3.loss_mask: 0.4023, decode.d3.loss_dice: 0.6158, decode.d4.loss_cls: 0.1389, decode.d4.loss_mask: 0.4036, decode.d4.loss_dice: 0.6182, decode.d5.loss_cls: 0.1393, decode.d5.loss_mask: 0.4022, decode.d5.loss_dice: 0.6180, decode.d6.loss_cls: 0.1388, decode.d6.loss_mask: 0.4016, decode.d6.loss_dice: 0.6166, decode.d7.loss_cls: 0.1342, decode.d7.loss_mask: 0.4019, decode.d7.loss_dice: 0.6167, decode.d8.loss_cls: 0.1327, decode.d8.loss_mask: 0.4021, decode.d8.loss_dice: 0.6159, loss: 12.7061, grad_norm: 41.3241 2023-11-12 17:32:22,893 - mmseg - INFO - Iter [135400/160000] lr: 1.538e-05, eta: 3:24:46, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1477, decode.loss_mask: 0.4105, decode.loss_dice: 0.6262, decode.d0.loss_cls: 1.0958, decode.d0.loss_mask: 0.4400, decode.d0.loss_dice: 0.6707, decode.d1.loss_cls: 0.2010, decode.d1.loss_mask: 0.4203, decode.d1.loss_dice: 0.6519, decode.d2.loss_cls: 0.1727, decode.d2.loss_mask: 0.4167, decode.d2.loss_dice: 0.6404, decode.d3.loss_cls: 0.1633, decode.d3.loss_mask: 0.4117, decode.d3.loss_dice: 0.6285, decode.d4.loss_cls: 0.1587, decode.d4.loss_mask: 0.4102, decode.d4.loss_dice: 0.6286, decode.d5.loss_cls: 0.1502, decode.d5.loss_mask: 0.4098, decode.d5.loss_dice: 0.6265, decode.d6.loss_cls: 0.1498, decode.d6.loss_mask: 0.4108, decode.d6.loss_dice: 0.6232, decode.d7.loss_cls: 0.1486, decode.d7.loss_mask: 0.4109, decode.d7.loss_dice: 0.6231, decode.d8.loss_cls: 0.1459, decode.d8.loss_mask: 0.4091, decode.d8.loss_dice: 0.6220, loss: 13.0250, grad_norm: 42.7874 2023-11-12 17:32:46,565 - mmseg - INFO - Iter [135450/160000] lr: 1.534e-05, eta: 3:24:20, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1446, decode.loss_mask: 0.4107, decode.loss_dice: 0.6235, decode.d0.loss_cls: 1.0886, decode.d0.loss_mask: 0.4429, decode.d0.loss_dice: 0.6760, decode.d1.loss_cls: 0.2062, decode.d1.loss_mask: 0.4235, decode.d1.loss_dice: 0.6529, decode.d2.loss_cls: 0.1682, decode.d2.loss_mask: 0.4164, decode.d2.loss_dice: 0.6361, decode.d3.loss_cls: 0.1647, decode.d3.loss_mask: 0.4127, decode.d3.loss_dice: 0.6253, decode.d4.loss_cls: 0.1536, decode.d4.loss_mask: 0.4113, decode.d4.loss_dice: 0.6277, decode.d5.loss_cls: 0.1513, decode.d5.loss_mask: 0.4116, decode.d5.loss_dice: 0.6275, decode.d6.loss_cls: 0.1467, decode.d6.loss_mask: 0.4106, decode.d6.loss_dice: 0.6246, decode.d7.loss_cls: 0.1512, decode.d7.loss_mask: 0.4104, decode.d7.loss_dice: 0.6257, decode.d8.loss_cls: 0.1459, decode.d8.loss_mask: 0.4107, decode.d8.loss_dice: 0.6257, loss: 13.0265, grad_norm: 43.9816 2023-11-12 17:33:10,474 - mmseg - INFO - Iter [135500/160000] lr: 1.531e-05, eta: 3:23:55, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1515, decode.loss_mask: 0.4358, decode.loss_dice: 0.6395, decode.d0.loss_cls: 1.0888, decode.d0.loss_mask: 0.4656, decode.d0.loss_dice: 0.6975, decode.d1.loss_cls: 0.2035, decode.d1.loss_mask: 0.4462, decode.d1.loss_dice: 0.6721, decode.d2.loss_cls: 0.1807, decode.d2.loss_mask: 0.4405, decode.d2.loss_dice: 0.6575, decode.d3.loss_cls: 0.1694, decode.d3.loss_mask: 0.4383, decode.d3.loss_dice: 0.6481, decode.d4.loss_cls: 0.1650, decode.d4.loss_mask: 0.4372, decode.d4.loss_dice: 0.6468, decode.d5.loss_cls: 0.1546, decode.d5.loss_mask: 0.4373, decode.d5.loss_dice: 0.6457, decode.d6.loss_cls: 0.1567, decode.d6.loss_mask: 0.4368, decode.d6.loss_dice: 0.6438, decode.d7.loss_cls: 0.1507, decode.d7.loss_mask: 0.4370, decode.d7.loss_dice: 0.6428, decode.d8.loss_cls: 0.1521, decode.d8.loss_mask: 0.4374, decode.d8.loss_dice: 0.6473, loss: 13.5260, grad_norm: 49.2025 2023-11-12 17:33:34,227 - mmseg - INFO - Iter [135550/160000] lr: 1.528e-05, eta: 3:23:30, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1512, decode.loss_mask: 0.4111, decode.loss_dice: 0.6223, decode.d0.loss_cls: 1.0954, decode.d0.loss_mask: 0.4444, decode.d0.loss_dice: 0.6773, decode.d1.loss_cls: 0.2075, decode.d1.loss_mask: 0.4230, decode.d1.loss_dice: 0.6496, decode.d2.loss_cls: 0.1775, decode.d2.loss_mask: 0.4176, decode.d2.loss_dice: 0.6346, decode.d3.loss_cls: 0.1664, decode.d3.loss_mask: 0.4156, decode.d3.loss_dice: 0.6267, decode.d4.loss_cls: 0.1575, decode.d4.loss_mask: 0.4136, decode.d4.loss_dice: 0.6250, decode.d5.loss_cls: 0.1582, decode.d5.loss_mask: 0.4125, decode.d5.loss_dice: 0.6225, decode.d6.loss_cls: 0.1550, decode.d6.loss_mask: 0.4120, decode.d6.loss_dice: 0.6214, decode.d7.loss_cls: 0.1536, decode.d7.loss_mask: 0.4118, decode.d7.loss_dice: 0.6202, decode.d8.loss_cls: 0.1511, decode.d8.loss_mask: 0.4123, decode.d8.loss_dice: 0.6224, loss: 13.0692, grad_norm: 45.4801 2023-11-12 17:33:57,908 - mmseg - INFO - Iter [135600/160000] lr: 1.525e-05, eta: 3:23:05, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1343, decode.loss_mask: 0.4094, decode.loss_dice: 0.6081, decode.d0.loss_cls: 1.0707, decode.d0.loss_mask: 0.4344, decode.d0.loss_dice: 0.6579, decode.d1.loss_cls: 0.1902, decode.d1.loss_mask: 0.4209, decode.d1.loss_dice: 0.6358, decode.d2.loss_cls: 0.1611, decode.d2.loss_mask: 0.4125, decode.d2.loss_dice: 0.6190, decode.d3.loss_cls: 0.1535, decode.d3.loss_mask: 0.4108, decode.d3.loss_dice: 0.6112, decode.d4.loss_cls: 0.1452, decode.d4.loss_mask: 0.4108, decode.d4.loss_dice: 0.6081, decode.d5.loss_cls: 0.1436, decode.d5.loss_mask: 0.4097, decode.d5.loss_dice: 0.6087, decode.d6.loss_cls: 0.1406, decode.d6.loss_mask: 0.4087, decode.d6.loss_dice: 0.6037, decode.d7.loss_cls: 0.1377, decode.d7.loss_mask: 0.4091, decode.d7.loss_dice: 0.6041, decode.d8.loss_cls: 0.1383, decode.d8.loss_mask: 0.4090, decode.d8.loss_dice: 0.6076, loss: 12.7148, grad_norm: 45.8019 2023-11-12 17:34:21,558 - mmseg - INFO - Iter [135650/160000] lr: 1.522e-05, eta: 3:22:40, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1599, decode.loss_mask: 0.4184, decode.loss_dice: 0.6392, decode.d0.loss_cls: 1.1051, decode.d0.loss_mask: 0.4528, decode.d0.loss_dice: 0.7062, decode.d1.loss_cls: 0.2216, decode.d1.loss_mask: 0.4287, decode.d1.loss_dice: 0.6732, decode.d2.loss_cls: 0.1853, decode.d2.loss_mask: 0.4254, decode.d2.loss_dice: 0.6556, decode.d3.loss_cls: 0.1746, decode.d3.loss_mask: 0.4214, decode.d3.loss_dice: 0.6479, decode.d4.loss_cls: 0.1672, decode.d4.loss_mask: 0.4206, decode.d4.loss_dice: 0.6457, decode.d5.loss_cls: 0.1645, decode.d5.loss_mask: 0.4200, decode.d5.loss_dice: 0.6377, decode.d6.loss_cls: 0.1664, decode.d6.loss_mask: 0.4181, decode.d6.loss_dice: 0.6370, decode.d7.loss_cls: 0.1612, decode.d7.loss_mask: 0.4189, decode.d7.loss_dice: 0.6382, decode.d8.loss_cls: 0.1613, decode.d8.loss_mask: 0.4185, decode.d8.loss_dice: 0.6403, loss: 13.4310, grad_norm: 46.9741 2023-11-12 17:34:45,225 - mmseg - INFO - Iter [135700/160000] lr: 1.519e-05, eta: 3:22:14, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1471, decode.loss_mask: 0.4122, decode.loss_dice: 0.6157, decode.d0.loss_cls: 1.1073, decode.d0.loss_mask: 0.4437, decode.d0.loss_dice: 0.6591, decode.d1.loss_cls: 0.1980, decode.d1.loss_mask: 0.4226, decode.d1.loss_dice: 0.6439, decode.d2.loss_cls: 0.1738, decode.d2.loss_mask: 0.4180, decode.d2.loss_dice: 0.6295, decode.d3.loss_cls: 0.1546, decode.d3.loss_mask: 0.4159, decode.d3.loss_dice: 0.6189, decode.d4.loss_cls: 0.1502, decode.d4.loss_mask: 0.4138, decode.d4.loss_dice: 0.6197, decode.d5.loss_cls: 0.1435, decode.d5.loss_mask: 0.4142, decode.d5.loss_dice: 0.6180, decode.d6.loss_cls: 0.1447, decode.d6.loss_mask: 0.4147, decode.d6.loss_dice: 0.6174, decode.d7.loss_cls: 0.1429, decode.d7.loss_mask: 0.4141, decode.d7.loss_dice: 0.6177, decode.d8.loss_cls: 0.1449, decode.d8.loss_mask: 0.4141, decode.d8.loss_dice: 0.6175, loss: 12.9479, grad_norm: 42.0007 2023-11-12 17:35:08,930 - mmseg - INFO - Iter [135750/160000] lr: 1.516e-05, eta: 3:21:49, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1640, decode.loss_mask: 0.4240, decode.loss_dice: 0.6410, decode.d0.loss_cls: 1.1147, decode.d0.loss_mask: 0.4528, decode.d0.loss_dice: 0.6976, decode.d1.loss_cls: 0.2219, decode.d1.loss_mask: 0.4338, decode.d1.loss_dice: 0.6758, decode.d2.loss_cls: 0.1951, decode.d2.loss_mask: 0.4284, decode.d2.loss_dice: 0.6634, decode.d3.loss_cls: 0.1807, decode.d3.loss_mask: 0.4273, decode.d3.loss_dice: 0.6481, decode.d4.loss_cls: 0.1714, decode.d4.loss_mask: 0.4263, decode.d4.loss_dice: 0.6473, decode.d5.loss_cls: 0.1673, decode.d5.loss_mask: 0.4259, decode.d5.loss_dice: 0.6471, decode.d6.loss_cls: 0.1607, decode.d6.loss_mask: 0.4245, decode.d6.loss_dice: 0.6418, decode.d7.loss_cls: 0.1633, decode.d7.loss_mask: 0.4248, decode.d7.loss_dice: 0.6471, decode.d8.loss_cls: 0.1634, decode.d8.loss_mask: 0.4252, decode.d8.loss_dice: 0.6455, loss: 13.5500, grad_norm: 45.6769 2023-11-12 17:35:32,809 - mmseg - INFO - Iter [135800/160000] lr: 1.513e-05, eta: 3:21:24, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1503, decode.loss_mask: 0.4045, decode.loss_dice: 0.6357, decode.d0.loss_cls: 1.1069, decode.d0.loss_mask: 0.4337, decode.d0.loss_dice: 0.6872, decode.d1.loss_cls: 0.2165, decode.d1.loss_mask: 0.4148, decode.d1.loss_dice: 0.6658, decode.d2.loss_cls: 0.1827, decode.d2.loss_mask: 0.4092, decode.d2.loss_dice: 0.6499, decode.d3.loss_cls: 0.1722, decode.d3.loss_mask: 0.4058, decode.d3.loss_dice: 0.6367, decode.d4.loss_cls: 0.1601, decode.d4.loss_mask: 0.4056, decode.d4.loss_dice: 0.6385, decode.d5.loss_cls: 0.1597, decode.d5.loss_mask: 0.4066, decode.d5.loss_dice: 0.6351, decode.d6.loss_cls: 0.1580, decode.d6.loss_mask: 0.4054, decode.d6.loss_dice: 0.6364, decode.d7.loss_cls: 0.1539, decode.d7.loss_mask: 0.4050, decode.d7.loss_dice: 0.6358, decode.d8.loss_cls: 0.1559, decode.d8.loss_mask: 0.4042, decode.d8.loss_dice: 0.6358, loss: 13.1678, grad_norm: 43.5802 2023-11-12 17:35:56,461 - mmseg - INFO - Iter [135850/160000] lr: 1.509e-05, eta: 3:20:59, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1350, decode.loss_mask: 0.4079, decode.loss_dice: 0.6191, decode.d0.loss_cls: 1.0688, decode.d0.loss_mask: 0.4390, decode.d0.loss_dice: 0.6728, decode.d1.loss_cls: 0.1939, decode.d1.loss_mask: 0.4201, decode.d1.loss_dice: 0.6475, decode.d2.loss_cls: 0.1569, decode.d2.loss_mask: 0.4151, decode.d2.loss_dice: 0.6342, decode.d3.loss_cls: 0.1433, decode.d3.loss_mask: 0.4113, decode.d3.loss_dice: 0.6223, decode.d4.loss_cls: 0.1423, decode.d4.loss_mask: 0.4108, decode.d4.loss_dice: 0.6203, decode.d5.loss_cls: 0.1398, decode.d5.loss_mask: 0.4095, decode.d5.loss_dice: 0.6232, decode.d6.loss_cls: 0.1366, decode.d6.loss_mask: 0.4105, decode.d6.loss_dice: 0.6169, decode.d7.loss_cls: 0.1380, decode.d7.loss_mask: 0.4085, decode.d7.loss_dice: 0.6186, decode.d8.loss_cls: 0.1333, decode.d8.loss_mask: 0.4089, decode.d8.loss_dice: 0.6204, loss: 12.8248, grad_norm: 47.6474 2023-11-12 17:36:20,508 - mmseg - INFO - Iter [135900/160000] lr: 1.506e-05, eta: 3:20:34, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1310, decode.loss_mask: 0.3949, decode.loss_dice: 0.6199, decode.d0.loss_cls: 1.1240, decode.d0.loss_mask: 0.4313, decode.d0.loss_dice: 0.6769, decode.d1.loss_cls: 0.1993, decode.d1.loss_mask: 0.4089, decode.d1.loss_dice: 0.6525, decode.d2.loss_cls: 0.1619, decode.d2.loss_mask: 0.4032, decode.d2.loss_dice: 0.6337, decode.d3.loss_cls: 0.1450, decode.d3.loss_mask: 0.3974, decode.d3.loss_dice: 0.6229, decode.d4.loss_cls: 0.1403, decode.d4.loss_mask: 0.3981, decode.d4.loss_dice: 0.6240, decode.d5.loss_cls: 0.1364, decode.d5.loss_mask: 0.3979, decode.d5.loss_dice: 0.6252, decode.d6.loss_cls: 0.1336, decode.d6.loss_mask: 0.3964, decode.d6.loss_dice: 0.6155, decode.d7.loss_cls: 0.1320, decode.d7.loss_mask: 0.3963, decode.d7.loss_dice: 0.6180, decode.d8.loss_cls: 0.1298, decode.d8.loss_mask: 0.3955, decode.d8.loss_dice: 0.6189, loss: 12.7608, grad_norm: 45.5439 2023-11-12 17:36:44,274 - mmseg - INFO - Iter [135950/160000] lr: 1.503e-05, eta: 3:20:09, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1419, decode.loss_mask: 0.4125, decode.loss_dice: 0.6281, decode.d0.loss_cls: 1.0907, decode.d0.loss_mask: 0.4442, decode.d0.loss_dice: 0.6877, decode.d1.loss_cls: 0.1975, decode.d1.loss_mask: 0.4245, decode.d1.loss_dice: 0.6562, decode.d2.loss_cls: 0.1655, decode.d2.loss_mask: 0.4176, decode.d2.loss_dice: 0.6435, decode.d3.loss_cls: 0.1576, decode.d3.loss_mask: 0.4150, decode.d3.loss_dice: 0.6327, decode.d4.loss_cls: 0.1454, decode.d4.loss_mask: 0.4141, decode.d4.loss_dice: 0.6304, decode.d5.loss_cls: 0.1460, decode.d5.loss_mask: 0.4137, decode.d5.loss_dice: 0.6290, decode.d6.loss_cls: 0.1439, decode.d6.loss_mask: 0.4129, decode.d6.loss_dice: 0.6242, decode.d7.loss_cls: 0.1406, decode.d7.loss_mask: 0.4123, decode.d7.loss_dice: 0.6310, decode.d8.loss_cls: 0.1378, decode.d8.loss_mask: 0.4130, decode.d8.loss_dice: 0.6298, loss: 13.0393, grad_norm: 45.3904 2023-11-12 17:37:07,842 - mmseg - INFO - Saving checkpoint at 136000 iterations 2023-11-12 17:37:11,612 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 17:37:11,613 - mmseg - INFO - Iter [136000/160000] lr: 1.500e-05, eta: 3:19:44, time: 0.547, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1324, decode.loss_mask: 0.4156, decode.loss_dice: 0.6237, decode.d0.loss_cls: 1.0908, decode.d0.loss_mask: 0.4441, decode.d0.loss_dice: 0.6705, decode.d1.loss_cls: 0.1819, decode.d1.loss_mask: 0.4243, decode.d1.loss_dice: 0.6474, decode.d2.loss_cls: 0.1559, decode.d2.loss_mask: 0.4195, decode.d2.loss_dice: 0.6331, decode.d3.loss_cls: 0.1436, decode.d3.loss_mask: 0.4180, decode.d3.loss_dice: 0.6258, decode.d4.loss_cls: 0.1399, decode.d4.loss_mask: 0.4164, decode.d4.loss_dice: 0.6259, decode.d5.loss_cls: 0.1352, decode.d5.loss_mask: 0.4146, decode.d5.loss_dice: 0.6249, decode.d6.loss_cls: 0.1345, decode.d6.loss_mask: 0.4155, decode.d6.loss_dice: 0.6219, decode.d7.loss_cls: 0.1286, decode.d7.loss_mask: 0.4159, decode.d7.loss_dice: 0.6232, decode.d8.loss_cls: 0.1295, decode.d8.loss_mask: 0.4156, decode.d8.loss_dice: 0.6241, loss: 12.8922, grad_norm: 48.2374 2023-11-12 17:37:30,750 - mmseg - INFO - per class results: 2023-11-12 17:37:30,755 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.06 | 87.75 | | building | 82.67 | 92.06 | | sky | 94.93 | 97.52 | | floor | 83.24 | 89.56 | | tree | 74.27 | 87.23 | | ceiling | 84.88 | 90.98 | | road | 84.94 | 90.72 | | bed | 90.55 | 95.63 | | windowpane | 65.23 | 81.66 | | grass | 66.48 | 80.06 | | cabinet | 64.07 | 76.79 | | sidewalk | 67.86 | 80.04 | | person | 84.63 | 92.97 | | earth | 43.87 | 58.65 | | door | 52.1 | 66.11 | | table | 65.72 | 79.15 | | mountain | 66.29 | 76.59 | | plant | 54.2 | 67.21 | | curtain | 79.28 | 87.31 | | chair | 64.42 | 76.02 | | car | 83.42 | 91.75 | | water | 44.11 | 53.95 | | painting | 76.34 | 89.9 | | sofa | 69.79 | 81.71 | | shelf | 42.24 | 57.36 | | house | 38.33 | 61.97 | | sea | 57.98 | 90.29 | | mirror | 70.35 | 80.98 | | rug | 67.44 | 84.75 | | field | 31.56 | 55.36 | | armchair | 49.12 | 71.08 | | seat | 61.89 | 83.77 | | fence | 52.14 | 69.48 | | desk | 54.11 | 71.72 | | rock | 46.41 | 78.98 | | wardrobe | 51.87 | 64.46 | | lamp | 72.56 | 85.15 | | bathtub | 82.12 | 90.25 | | railing | 37.56 | 55.34 | | cushion | 63.85 | 78.4 | | base | 30.58 | 52.01 | | box | 27.37 | 37.17 | | column | 41.84 | 53.46 | | signboard | 37.92 | 55.26 | | chest of drawers | 34.69 | 65.14 | | counter | 33.29 | 42.18 | | sand | 33.94 | 46.82 | | sink | 79.31 | 86.1 | | skyscraper | 38.29 | 43.83 | | fireplace | 74.82 | 93.93 | | refrigerator | 76.97 | 84.73 | | grandstand | 42.94 | 76.23 | | path | 27.43 | 48.26 | | stairs | 28.06 | 35.7 | | runway | 77.52 | 92.29 | | case | 59.37 | 79.52 | | pool table | 95.2 | 97.69 | | pillow | 62.57 | 78.1 | | screen door | 76.18 | 83.47 | | stairway | 32.89 | 41.68 | | river | 17.27 | 36.85 | | bridge | 75.68 | 88.91 | | bookcase | 38.94 | 62.78 | | blind | 49.43 | 54.23 | | coffee table | 67.04 | 86.57 | | toilet | 89.49 | 92.32 | | flower | 47.48 | 67.59 | | book | 50.41 | 71.86 | | hill | 5.86 | 12.53 | | bench | 59.42 | 72.55 | | countertop | 64.16 | 78.93 | | stove | 83.27 | 89.39 | | palm | 56.01 | 73.0 | | kitchen island | 44.06 | 90.6 | | computer | 69.41 | 77.55 | | swivel chair | 39.34 | 58.15 | | boat | 44.56 | 50.0 | | bar | 33.78 | 39.89 | | arcade machine | 88.63 | 94.97 | | hovel | 26.62 | 41.23 | | bus | 93.54 | 96.85 | | towel | 65.7 | 81.55 | | light | 64.04 | 76.27 | | truck | 29.07 | 57.59 | | tower | 37.56 | 63.69 | | chandelier | 73.5 | 87.43 | | awning | 32.56 | 43.32 | | streetlight | 43.57 | 62.17 | | booth | 31.32 | 64.51 | | television receiver | 77.47 | 88.81 | | airplane | 61.97 | 69.05 | | dirt track | 9.17 | 54.94 | | apparel | 26.94 | 49.91 | | pole | 32.77 | 47.69 | | land | 3.88 | 9.16 | | bannister | 19.86 | 34.76 | | escalator | 20.26 | 21.38 | | ottoman | 58.2 | 72.71 | | bottle | 26.93 | 33.32 | | buffet | 49.47 | 55.1 | | poster | 24.25 | 35.81 | | stage | 19.52 | 34.26 | | van | 48.29 | 66.94 | | ship | 4.6 | 10.97 | | fountain | 30.49 | 36.56 | | conveyer belt | 62.74 | 95.57 | | canopy | 27.04 | 35.96 | | washer | 71.44 | 74.08 | | plaything | 35.89 | 53.08 | | swimming pool | 35.56 | 38.11 | | stool | 45.68 | 71.9 | | barrel | 89.95 | 97.14 | | basket | 34.95 | 44.99 | | waterfall | 58.55 | 92.37 | | tent | 94.99 | 98.1 | | bag | 17.42 | 20.99 | | minibike | 75.97 | 93.71 | | cradle | 76.09 | 97.28 | | oven | 24.7 | 67.81 | | ball | 54.22 | 68.97 | | food | 63.26 | 81.45 | | step | 16.34 | 21.29 | | tank | 59.74 | 66.11 | | trade name | 30.31 | 38.26 | | microwave | 41.91 | 46.5 | | pot | 50.38 | 56.56 | | animal | 59.31 | 60.56 | | bicycle | 58.59 | 78.21 | | lake | 38.08 | 63.61 | | dishwasher | 78.31 | 84.24 | | screen | 59.6 | 90.66 | | blanket | 24.45 | 31.01 | | sculpture | 73.3 | 86.85 | | hood | 85.77 | 92.48 | | sconce | 55.07 | 65.7 | | vase | 50.49 | 67.81 | | traffic light | 42.84 | 63.1 | | tray | 13.67 | 31.07 | | ashcan | 53.8 | 65.48 | | fan | 72.73 | 85.59 | | pier | 28.9 | 43.65 | | crt screen | 1.93 | 6.0 | | plate | 41.2 | 51.35 | | monitor | 9.74 | 13.68 | | bulletin board | 44.32 | 66.57 | | shower | 7.43 | 20.34 | | radiator | 69.66 | 84.08 | | glass | 22.01 | 23.66 | | clock | 55.99 | 69.17 | | flag | 33.97 | 38.35 | +---------------------+-------+-------+ 2023-11-12 17:37:30,755 - mmseg - INFO - Summary: 2023-11-12 17:37:30,755 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.92 | 51.98 | 65.88 | +-------+-------+-------+ 2023-11-12 17:37:30,756 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 17:37:30,756 - mmseg - INFO - Iter(val) [250] aAcc: 0.8392, mIoU: 0.5198, mAcc: 0.6588, IoU.wall: 0.7906, IoU.building: 0.8267, IoU.sky: 0.9493, IoU.floor: 0.8324, IoU.tree: 0.7427, IoU.ceiling: 0.8488, IoU.road: 0.8494, IoU.bed : 0.9055, IoU.windowpane: 0.6523, IoU.grass: 0.6648, IoU.cabinet: 0.6407, IoU.sidewalk: 0.6786, IoU.person: 0.8463, IoU.earth: 0.4387, IoU.door: 0.5210, IoU.table: 0.6572, IoU.mountain: 0.6629, IoU.plant: 0.5420, IoU.curtain: 0.7928, IoU.chair: 0.6442, IoU.car: 0.8342, IoU.water: 0.4411, IoU.painting: 0.7634, IoU.sofa: 0.6979, IoU.shelf: 0.4224, IoU.house: 0.3833, IoU.sea: 0.5798, IoU.mirror: 0.7035, IoU.rug: 0.6744, IoU.field: 0.3156, IoU.armchair: 0.4912, IoU.seat: 0.6189, IoU.fence: 0.5214, IoU.desk: 0.5411, IoU.rock: 0.4641, IoU.wardrobe: 0.5187, IoU.lamp: 0.7256, IoU.bathtub: 0.8212, IoU.railing: 0.3756, IoU.cushion: 0.6385, IoU.base: 0.3058, IoU.box: 0.2737, IoU.column: 0.4184, IoU.signboard: 0.3792, IoU.chest of drawers: 0.3469, IoU.counter: 0.3329, IoU.sand: 0.3394, IoU.sink: 0.7931, IoU.skyscraper: 0.3829, IoU.fireplace: 0.7482, IoU.refrigerator: 0.7697, IoU.grandstand: 0.4294, IoU.path: 0.2743, IoU.stairs: 0.2806, IoU.runway: 0.7752, IoU.case: 0.5937, IoU.pool table: 0.9520, IoU.pillow: 0.6257, IoU.screen door: 0.7618, IoU.stairway: 0.3289, IoU.river: 0.1727, IoU.bridge: 0.7568, IoU.bookcase: 0.3894, IoU.blind: 0.4943, IoU.coffee table: 0.6704, IoU.toilet: 0.8949, IoU.flower: 0.4748, IoU.book: 0.5041, IoU.hill: 0.0586, IoU.bench: 0.5942, IoU.countertop: 0.6416, IoU.stove: 0.8327, IoU.palm: 0.5601, IoU.kitchen island: 0.4406, IoU.computer: 0.6941, IoU.swivel chair: 0.3934, IoU.boat: 0.4456, IoU.bar: 0.3378, IoU.arcade machine: 0.8863, IoU.hovel: 0.2662, IoU.bus: 0.9354, IoU.towel: 0.6570, IoU.light: 0.6404, IoU.truck: 0.2907, IoU.tower: 0.3756, IoU.chandelier: 0.7350, IoU.awning: 0.3256, IoU.streetlight: 0.4357, IoU.booth: 0.3132, IoU.television receiver: 0.7747, IoU.airplane: 0.6197, IoU.dirt track: 0.0917, IoU.apparel: 0.2694, IoU.pole: 0.3277, IoU.land: 0.0388, IoU.bannister: 0.1986, IoU.escalator: 0.2026, IoU.ottoman: 0.5820, IoU.bottle: 0.2693, IoU.buffet: 0.4947, IoU.poster: 0.2425, IoU.stage: 0.1952, IoU.van: 0.4829, IoU.ship: 0.0460, IoU.fountain: 0.3049, IoU.conveyer belt: 0.6274, IoU.canopy: 0.2704, IoU.washer: 0.7144, IoU.plaything: 0.3589, IoU.swimming pool: 0.3556, IoU.stool: 0.4568, IoU.barrel: 0.8995, IoU.basket: 0.3495, IoU.waterfall: 0.5855, IoU.tent: 0.9499, IoU.bag: 0.1742, IoU.minibike: 0.7597, IoU.cradle: 0.7609, IoU.oven: 0.2470, IoU.ball: 0.5422, IoU.food: 0.6326, IoU.step: 0.1634, IoU.tank: 0.5974, IoU.trade name: 0.3031, IoU.microwave: 0.4191, IoU.pot: 0.5038, IoU.animal: 0.5931, IoU.bicycle: 0.5859, IoU.lake: 0.3808, IoU.dishwasher: 0.7831, IoU.screen: 0.5960, IoU.blanket: 0.2445, IoU.sculpture: 0.7330, IoU.hood: 0.8577, IoU.sconce: 0.5507, IoU.vase: 0.5049, IoU.traffic light: 0.4284, IoU.tray: 0.1367, IoU.ashcan: 0.5380, IoU.fan: 0.7273, IoU.pier: 0.2890, IoU.crt screen: 0.0193, IoU.plate: 0.4120, IoU.monitor: 0.0974, IoU.bulletin board: 0.4432, IoU.shower: 0.0743, IoU.radiator: 0.6966, IoU.glass: 0.2201, IoU.clock: 0.5599, IoU.flag: 0.3397, Acc.wall: 0.8775, Acc.building: 0.9206, Acc.sky: 0.9752, Acc.floor: 0.8956, Acc.tree: 0.8723, Acc.ceiling: 0.9098, Acc.road: 0.9072, Acc.bed : 0.9563, Acc.windowpane: 0.8166, Acc.grass: 0.8006, Acc.cabinet: 0.7679, Acc.sidewalk: 0.8004, Acc.person: 0.9297, Acc.earth: 0.5865, Acc.door: 0.6611, Acc.table: 0.7915, Acc.mountain: 0.7659, Acc.plant: 0.6721, Acc.curtain: 0.8731, Acc.chair: 0.7602, Acc.car: 0.9175, Acc.water: 0.5395, Acc.painting: 0.8990, Acc.sofa: 0.8171, Acc.shelf: 0.5736, Acc.house: 0.6197, Acc.sea: 0.9029, Acc.mirror: 0.8098, Acc.rug: 0.8475, Acc.field: 0.5536, Acc.armchair: 0.7108, Acc.seat: 0.8377, Acc.fence: 0.6948, Acc.desk: 0.7172, Acc.rock: 0.7898, Acc.wardrobe: 0.6446, Acc.lamp: 0.8515, Acc.bathtub: 0.9025, Acc.railing: 0.5534, Acc.cushion: 0.7840, Acc.base: 0.5201, Acc.box: 0.3717, Acc.column: 0.5346, Acc.signboard: 0.5526, Acc.chest of drawers: 0.6514, Acc.counter: 0.4218, Acc.sand: 0.4682, Acc.sink: 0.8610, Acc.skyscraper: 0.4383, Acc.fireplace: 0.9393, Acc.refrigerator: 0.8473, Acc.grandstand: 0.7623, Acc.path: 0.4826, Acc.stairs: 0.3570, Acc.runway: 0.9229, Acc.case: 0.7952, Acc.pool table: 0.9769, Acc.pillow: 0.7810, Acc.screen door: 0.8347, Acc.stairway: 0.4168, Acc.river: 0.3685, Acc.bridge: 0.8891, Acc.bookcase: 0.6278, Acc.blind: 0.5423, Acc.coffee table: 0.8657, Acc.toilet: 0.9232, Acc.flower: 0.6759, Acc.book: 0.7186, Acc.hill: 0.1253, Acc.bench: 0.7255, Acc.countertop: 0.7893, Acc.stove: 0.8939, Acc.palm: 0.7300, Acc.kitchen island: 0.9060, Acc.computer: 0.7755, Acc.swivel chair: 0.5815, Acc.boat: 0.5000, Acc.bar: 0.3989, Acc.arcade machine: 0.9497, Acc.hovel: 0.4123, Acc.bus: 0.9685, Acc.towel: 0.8155, Acc.light: 0.7627, Acc.truck: 0.5759, Acc.tower: 0.6369, Acc.chandelier: 0.8743, Acc.awning: 0.4332, Acc.streetlight: 0.6217, Acc.booth: 0.6451, Acc.television receiver: 0.8881, Acc.airplane: 0.6905, Acc.dirt track: 0.5494, Acc.apparel: 0.4991, Acc.pole: 0.4769, Acc.land: 0.0916, Acc.bannister: 0.3476, Acc.escalator: 0.2138, Acc.ottoman: 0.7271, Acc.bottle: 0.3332, Acc.buffet: 0.5510, Acc.poster: 0.3581, Acc.stage: 0.3426, Acc.van: 0.6694, Acc.ship: 0.1097, Acc.fountain: 0.3656, Acc.conveyer belt: 0.9557, Acc.canopy: 0.3596, Acc.washer: 0.7408, Acc.plaything: 0.5308, Acc.swimming pool: 0.3811, Acc.stool: 0.7190, Acc.barrel: 0.9714, Acc.basket: 0.4499, Acc.waterfall: 0.9237, Acc.tent: 0.9810, Acc.bag: 0.2099, Acc.minibike: 0.9371, Acc.cradle: 0.9728, Acc.oven: 0.6781, Acc.ball: 0.6897, Acc.food: 0.8145, Acc.step: 0.2129, Acc.tank: 0.6611, Acc.trade name: 0.3826, Acc.microwave: 0.4650, Acc.pot: 0.5656, Acc.animal: 0.6056, Acc.bicycle: 0.7821, Acc.lake: 0.6361, Acc.dishwasher: 0.8424, Acc.screen: 0.9066, Acc.blanket: 0.3101, Acc.sculpture: 0.8685, Acc.hood: 0.9248, Acc.sconce: 0.6570, Acc.vase: 0.6781, Acc.traffic light: 0.6310, Acc.tray: 0.3107, Acc.ashcan: 0.6548, Acc.fan: 0.8559, Acc.pier: 0.4365, Acc.crt screen: 0.0600, Acc.plate: 0.5135, Acc.monitor: 0.1368, Acc.bulletin board: 0.6657, Acc.shower: 0.2034, Acc.radiator: 0.8408, Acc.glass: 0.2366, Acc.clock: 0.6917, Acc.flag: 0.3835 2023-11-12 17:37:54,522 - mmseg - INFO - Iter [136050/160000] lr: 1.497e-05, eta: 3:19:22, time: 0.858, data_time: 0.395, memory: 41146, decode.loss_cls: 0.1463, decode.loss_mask: 0.4091, decode.loss_dice: 0.6204, decode.d0.loss_cls: 1.1062, decode.d0.loss_mask: 0.4351, decode.d0.loss_dice: 0.6769, decode.d1.loss_cls: 0.2058, decode.d1.loss_mask: 0.4176, decode.d1.loss_dice: 0.6504, decode.d2.loss_cls: 0.1740, decode.d2.loss_mask: 0.4127, decode.d2.loss_dice: 0.6347, decode.d3.loss_cls: 0.1649, decode.d3.loss_mask: 0.4100, decode.d3.loss_dice: 0.6276, decode.d4.loss_cls: 0.1615, decode.d4.loss_mask: 0.4081, decode.d4.loss_dice: 0.6237, decode.d5.loss_cls: 0.1544, decode.d5.loss_mask: 0.4081, decode.d5.loss_dice: 0.6223, decode.d6.loss_cls: 0.1487, decode.d6.loss_mask: 0.4084, decode.d6.loss_dice: 0.6239, decode.d7.loss_cls: 0.1437, decode.d7.loss_mask: 0.4078, decode.d7.loss_dice: 0.6254, decode.d8.loss_cls: 0.1449, decode.d8.loss_mask: 0.4089, decode.d8.loss_dice: 0.6221, loss: 13.0035, grad_norm: 48.0951 2023-11-12 17:38:18,239 - mmseg - INFO - Iter [136100/160000] lr: 1.494e-05, eta: 3:18:57, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1471, decode.loss_mask: 0.4073, decode.loss_dice: 0.6307, decode.d0.loss_cls: 1.1366, decode.d0.loss_mask: 0.4361, decode.d0.loss_dice: 0.6805, decode.d1.loss_cls: 0.2101, decode.d1.loss_mask: 0.4173, decode.d1.loss_dice: 0.6565, decode.d2.loss_cls: 0.1859, decode.d2.loss_mask: 0.4133, decode.d2.loss_dice: 0.6463, decode.d3.loss_cls: 0.1681, decode.d3.loss_mask: 0.4103, decode.d3.loss_dice: 0.6369, decode.d4.loss_cls: 0.1626, decode.d4.loss_mask: 0.4091, decode.d4.loss_dice: 0.6372, decode.d5.loss_cls: 0.1550, decode.d5.loss_mask: 0.4084, decode.d5.loss_dice: 0.6363, decode.d6.loss_cls: 0.1514, decode.d6.loss_mask: 0.4075, decode.d6.loss_dice: 0.6339, decode.d7.loss_cls: 0.1502, decode.d7.loss_mask: 0.4085, decode.d7.loss_dice: 0.6363, decode.d8.loss_cls: 0.1468, decode.d8.loss_mask: 0.4080, decode.d8.loss_dice: 0.6337, loss: 13.1678, grad_norm: 45.7623 2023-11-12 17:38:41,800 - mmseg - INFO - Iter [136150/160000] lr: 1.491e-05, eta: 3:18:32, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1582, decode.loss_mask: 0.4088, decode.loss_dice: 0.6390, decode.d0.loss_cls: 1.1248, decode.d0.loss_mask: 0.4400, decode.d0.loss_dice: 0.7019, decode.d1.loss_cls: 0.2186, decode.d1.loss_mask: 0.4222, decode.d1.loss_dice: 0.6673, decode.d2.loss_cls: 0.1876, decode.d2.loss_mask: 0.4135, decode.d2.loss_dice: 0.6564, decode.d3.loss_cls: 0.1772, decode.d3.loss_mask: 0.4128, decode.d3.loss_dice: 0.6446, decode.d4.loss_cls: 0.1709, decode.d4.loss_mask: 0.4111, decode.d4.loss_dice: 0.6454, decode.d5.loss_cls: 0.1645, decode.d5.loss_mask: 0.4087, decode.d5.loss_dice: 0.6409, decode.d6.loss_cls: 0.1621, decode.d6.loss_mask: 0.4095, decode.d6.loss_dice: 0.6406, decode.d7.loss_cls: 0.1573, decode.d7.loss_mask: 0.4094, decode.d7.loss_dice: 0.6424, decode.d8.loss_cls: 0.1616, decode.d8.loss_mask: 0.4094, decode.d8.loss_dice: 0.6404, loss: 13.3470, grad_norm: 50.7820 2023-11-12 17:39:05,204 - mmseg - INFO - Iter [136200/160000] lr: 1.488e-05, eta: 3:18:06, time: 0.468, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1478, decode.loss_mask: 0.4217, decode.loss_dice: 0.6370, decode.d0.loss_cls: 1.0886, decode.d0.loss_mask: 0.4569, decode.d0.loss_dice: 0.6918, decode.d1.loss_cls: 0.2036, decode.d1.loss_mask: 0.4341, decode.d1.loss_dice: 0.6649, decode.d2.loss_cls: 0.1686, decode.d2.loss_mask: 0.4282, decode.d2.loss_dice: 0.6536, decode.d3.loss_cls: 0.1608, decode.d3.loss_mask: 0.4252, decode.d3.loss_dice: 0.6449, decode.d4.loss_cls: 0.1588, decode.d4.loss_mask: 0.4243, decode.d4.loss_dice: 0.6418, decode.d5.loss_cls: 0.1580, decode.d5.loss_mask: 0.4233, decode.d5.loss_dice: 0.6428, decode.d6.loss_cls: 0.1515, decode.d6.loss_mask: 0.4225, decode.d6.loss_dice: 0.6368, decode.d7.loss_cls: 0.1534, decode.d7.loss_mask: 0.4218, decode.d7.loss_dice: 0.6391, decode.d8.loss_cls: 0.1479, decode.d8.loss_mask: 0.4225, decode.d8.loss_dice: 0.6394, loss: 13.3117, grad_norm: 46.3126 2023-11-12 17:39:28,865 - mmseg - INFO - Iter [136250/160000] lr: 1.484e-05, eta: 3:17:41, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1427, decode.loss_mask: 0.4113, decode.loss_dice: 0.6140, decode.d0.loss_cls: 1.0543, decode.d0.loss_mask: 0.4382, decode.d0.loss_dice: 0.6702, decode.d1.loss_cls: 0.1985, decode.d1.loss_mask: 0.4213, decode.d1.loss_dice: 0.6414, decode.d2.loss_cls: 0.1789, decode.d2.loss_mask: 0.4149, decode.d2.loss_dice: 0.6298, decode.d3.loss_cls: 0.1659, decode.d3.loss_mask: 0.4126, decode.d3.loss_dice: 0.6182, decode.d4.loss_cls: 0.1585, decode.d4.loss_mask: 0.4113, decode.d4.loss_dice: 0.6189, decode.d5.loss_cls: 0.1585, decode.d5.loss_mask: 0.4112, decode.d5.loss_dice: 0.6181, decode.d6.loss_cls: 0.1526, decode.d6.loss_mask: 0.4112, decode.d6.loss_dice: 0.6133, decode.d7.loss_cls: 0.1435, decode.d7.loss_mask: 0.4116, decode.d7.loss_dice: 0.6176, decode.d8.loss_cls: 0.1451, decode.d8.loss_mask: 0.4113, decode.d8.loss_dice: 0.6145, loss: 12.9096, grad_norm: 44.4605 2023-11-12 17:39:52,906 - mmseg - INFO - Iter [136300/160000] lr: 1.481e-05, eta: 3:17:16, time: 0.481, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1423, decode.loss_mask: 0.4100, decode.loss_dice: 0.6211, decode.d0.loss_cls: 1.1095, decode.d0.loss_mask: 0.4413, decode.d0.loss_dice: 0.6777, decode.d1.loss_cls: 0.2052, decode.d1.loss_mask: 0.4237, decode.d1.loss_dice: 0.6431, decode.d2.loss_cls: 0.1720, decode.d2.loss_mask: 0.4146, decode.d2.loss_dice: 0.6343, decode.d3.loss_cls: 0.1586, decode.d3.loss_mask: 0.4127, decode.d3.loss_dice: 0.6242, decode.d4.loss_cls: 0.1500, decode.d4.loss_mask: 0.4114, decode.d4.loss_dice: 0.6229, decode.d5.loss_cls: 0.1450, decode.d5.loss_mask: 0.4126, decode.d5.loss_dice: 0.6268, decode.d6.loss_cls: 0.1424, decode.d6.loss_mask: 0.4105, decode.d6.loss_dice: 0.6233, decode.d7.loss_cls: 0.1418, decode.d7.loss_mask: 0.4101, decode.d7.loss_dice: 0.6225, decode.d8.loss_cls: 0.1417, decode.d8.loss_mask: 0.4099, decode.d8.loss_dice: 0.6211, loss: 12.9824, grad_norm: 50.9793 2023-11-12 17:40:16,747 - mmseg - INFO - Iter [136350/160000] lr: 1.478e-05, eta: 3:16:51, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1423, decode.loss_mask: 0.4138, decode.loss_dice: 0.6284, decode.d0.loss_cls: 1.1136, decode.d0.loss_mask: 0.4418, decode.d0.loss_dice: 0.6763, decode.d1.loss_cls: 0.2028, decode.d1.loss_mask: 0.4231, decode.d1.loss_dice: 0.6552, decode.d2.loss_cls: 0.1735, decode.d2.loss_mask: 0.4177, decode.d2.loss_dice: 0.6386, decode.d3.loss_cls: 0.1574, decode.d3.loss_mask: 0.4152, decode.d3.loss_dice: 0.6290, decode.d4.loss_cls: 0.1564, decode.d4.loss_mask: 0.4145, decode.d4.loss_dice: 0.6280, decode.d5.loss_cls: 0.1523, decode.d5.loss_mask: 0.4142, decode.d5.loss_dice: 0.6300, decode.d6.loss_cls: 0.1508, decode.d6.loss_mask: 0.4137, decode.d6.loss_dice: 0.6247, decode.d7.loss_cls: 0.1515, decode.d7.loss_mask: 0.4128, decode.d7.loss_dice: 0.6251, decode.d8.loss_cls: 0.1451, decode.d8.loss_mask: 0.4140, decode.d8.loss_dice: 0.6280, loss: 13.0898, grad_norm: 42.7075 2023-11-12 17:40:40,379 - mmseg - INFO - Iter [136400/160000] lr: 1.475e-05, eta: 3:16:26, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1494, decode.loss_mask: 0.4025, decode.loss_dice: 0.6264, decode.d0.loss_cls: 1.1038, decode.d0.loss_mask: 0.4343, decode.d0.loss_dice: 0.6805, decode.d1.loss_cls: 0.1994, decode.d1.loss_mask: 0.4156, decode.d1.loss_dice: 0.6539, decode.d2.loss_cls: 0.1720, decode.d2.loss_mask: 0.4076, decode.d2.loss_dice: 0.6445, decode.d3.loss_cls: 0.1619, decode.d3.loss_mask: 0.4061, decode.d3.loss_dice: 0.6341, decode.d4.loss_cls: 0.1578, decode.d4.loss_mask: 0.4039, decode.d4.loss_dice: 0.6320, decode.d5.loss_cls: 0.1500, decode.d5.loss_mask: 0.4043, decode.d5.loss_dice: 0.6321, decode.d6.loss_cls: 0.1533, decode.d6.loss_mask: 0.4036, decode.d6.loss_dice: 0.6281, decode.d7.loss_cls: 0.1488, decode.d7.loss_mask: 0.4029, decode.d7.loss_dice: 0.6266, decode.d8.loss_cls: 0.1450, decode.d8.loss_mask: 0.4028, decode.d8.loss_dice: 0.6299, loss: 13.0131, grad_norm: 43.1291 2023-11-12 17:41:06,366 - mmseg - INFO - Iter [136450/160000] lr: 1.472e-05, eta: 3:16:01, time: 0.520, data_time: 0.057, memory: 41146, decode.loss_cls: 0.1468, decode.loss_mask: 0.4115, decode.loss_dice: 0.6356, decode.d0.loss_cls: 1.1079, decode.d0.loss_mask: 0.4426, decode.d0.loss_dice: 0.6874, decode.d1.loss_cls: 0.2031, decode.d1.loss_mask: 0.4238, decode.d1.loss_dice: 0.6633, decode.d2.loss_cls: 0.1842, decode.d2.loss_mask: 0.4139, decode.d2.loss_dice: 0.6493, decode.d3.loss_cls: 0.1681, decode.d3.loss_mask: 0.4121, decode.d3.loss_dice: 0.6387, decode.d4.loss_cls: 0.1604, decode.d4.loss_mask: 0.4112, decode.d4.loss_dice: 0.6399, decode.d5.loss_cls: 0.1543, decode.d5.loss_mask: 0.4124, decode.d5.loss_dice: 0.6393, decode.d6.loss_cls: 0.1537, decode.d6.loss_mask: 0.4119, decode.d6.loss_dice: 0.6358, decode.d7.loss_cls: 0.1474, decode.d7.loss_mask: 0.4098, decode.d7.loss_dice: 0.6338, decode.d8.loss_cls: 0.1457, decode.d8.loss_mask: 0.4118, decode.d8.loss_dice: 0.6352, loss: 13.1909, grad_norm: 45.4680 2023-11-12 17:41:39,590 - mmseg - INFO - Iter [136500/160000] lr: 1.469e-05, eta: 3:15:37, time: 0.664, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1569, decode.loss_mask: 0.3980, decode.loss_dice: 0.6182, decode.d0.loss_cls: 1.1386, decode.d0.loss_mask: 0.4270, decode.d0.loss_dice: 0.6730, decode.d1.loss_cls: 0.2125, decode.d1.loss_mask: 0.4092, decode.d1.loss_dice: 0.6487, decode.d2.loss_cls: 0.1797, decode.d2.loss_mask: 0.4021, decode.d2.loss_dice: 0.6299, decode.d3.loss_cls: 0.1705, decode.d3.loss_mask: 0.4005, decode.d3.loss_dice: 0.6209, decode.d4.loss_cls: 0.1607, decode.d4.loss_mask: 0.3998, decode.d4.loss_dice: 0.6211, decode.d5.loss_cls: 0.1579, decode.d5.loss_mask: 0.4005, decode.d5.loss_dice: 0.6225, decode.d6.loss_cls: 0.1547, decode.d6.loss_mask: 0.4011, decode.d6.loss_dice: 0.6149, decode.d7.loss_cls: 0.1539, decode.d7.loss_mask: 0.4003, decode.d7.loss_dice: 0.6168, decode.d8.loss_cls: 0.1504, decode.d8.loss_mask: 0.3991, decode.d8.loss_dice: 0.6185, loss: 12.9582, grad_norm: 46.2827 2023-11-12 17:42:06,120 - mmseg - INFO - Iter [136550/160000] lr: 1.466e-05, eta: 3:15:13, time: 0.531, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1539, decode.loss_mask: 0.4262, decode.loss_dice: 0.6592, decode.d0.loss_cls: 1.0962, decode.d0.loss_mask: 0.4577, decode.d0.loss_dice: 0.7052, decode.d1.loss_cls: 0.2143, decode.d1.loss_mask: 0.4373, decode.d1.loss_dice: 0.6846, decode.d2.loss_cls: 0.1813, decode.d2.loss_mask: 0.4322, decode.d2.loss_dice: 0.6729, decode.d3.loss_cls: 0.1706, decode.d3.loss_mask: 0.4275, decode.d3.loss_dice: 0.6624, decode.d4.loss_cls: 0.1638, decode.d4.loss_mask: 0.4275, decode.d4.loss_dice: 0.6598, decode.d5.loss_cls: 0.1611, decode.d5.loss_mask: 0.4275, decode.d5.loss_dice: 0.6620, decode.d6.loss_cls: 0.1639, decode.d6.loss_mask: 0.4264, decode.d6.loss_dice: 0.6601, decode.d7.loss_cls: 0.1564, decode.d7.loss_mask: 0.4251, decode.d7.loss_dice: 0.6617, decode.d8.loss_cls: 0.1532, decode.d8.loss_mask: 0.4254, decode.d8.loss_dice: 0.6578, loss: 13.6131, grad_norm: 46.3006 2023-11-12 17:42:30,348 - mmseg - INFO - Iter [136600/160000] lr: 1.463e-05, eta: 3:14:48, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1325, decode.loss_mask: 0.4027, decode.loss_dice: 0.6234, decode.d0.loss_cls: 1.0841, decode.d0.loss_mask: 0.4375, decode.d0.loss_dice: 0.6822, decode.d1.loss_cls: 0.1910, decode.d1.loss_mask: 0.4150, decode.d1.loss_dice: 0.6516, decode.d2.loss_cls: 0.1625, decode.d2.loss_mask: 0.4083, decode.d2.loss_dice: 0.6371, decode.d3.loss_cls: 0.1519, decode.d3.loss_mask: 0.4060, decode.d3.loss_dice: 0.6263, decode.d4.loss_cls: 0.1415, decode.d4.loss_mask: 0.4045, decode.d4.loss_dice: 0.6281, decode.d5.loss_cls: 0.1382, decode.d5.loss_mask: 0.4032, decode.d5.loss_dice: 0.6272, decode.d6.loss_cls: 0.1366, decode.d6.loss_mask: 0.4035, decode.d6.loss_dice: 0.6214, decode.d7.loss_cls: 0.1350, decode.d7.loss_mask: 0.4022, decode.d7.loss_dice: 0.6224, decode.d8.loss_cls: 0.1342, decode.d8.loss_mask: 0.4019, decode.d8.loss_dice: 0.6217, loss: 12.8335, grad_norm: 49.4497 2023-11-12 17:42:54,747 - mmseg - INFO - Iter [136650/160000] lr: 1.459e-05, eta: 3:14:23, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1457, decode.loss_mask: 0.4116, decode.loss_dice: 0.6185, decode.d0.loss_cls: 1.0894, decode.d0.loss_mask: 0.4406, decode.d0.loss_dice: 0.6766, decode.d1.loss_cls: 0.2019, decode.d1.loss_mask: 0.4246, decode.d1.loss_dice: 0.6511, decode.d2.loss_cls: 0.1726, decode.d2.loss_mask: 0.4171, decode.d2.loss_dice: 0.6349, decode.d3.loss_cls: 0.1622, decode.d3.loss_mask: 0.4151, decode.d3.loss_dice: 0.6212, decode.d4.loss_cls: 0.1554, decode.d4.loss_mask: 0.4137, decode.d4.loss_dice: 0.6201, decode.d5.loss_cls: 0.1541, decode.d5.loss_mask: 0.4129, decode.d5.loss_dice: 0.6214, decode.d6.loss_cls: 0.1488, decode.d6.loss_mask: 0.4121, decode.d6.loss_dice: 0.6151, decode.d7.loss_cls: 0.1468, decode.d7.loss_mask: 0.4125, decode.d7.loss_dice: 0.6209, decode.d8.loss_cls: 0.1469, decode.d8.loss_mask: 0.4117, decode.d8.loss_dice: 0.6205, loss: 12.9962, grad_norm: 48.3249 2023-11-12 17:43:18,984 - mmseg - INFO - Iter [136700/160000] lr: 1.456e-05, eta: 3:13:57, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1321, decode.loss_mask: 0.4122, decode.loss_dice: 0.6236, decode.d0.loss_cls: 1.0926, decode.d0.loss_mask: 0.4472, decode.d0.loss_dice: 0.6841, decode.d1.loss_cls: 0.1892, decode.d1.loss_mask: 0.4246, decode.d1.loss_dice: 0.6550, decode.d2.loss_cls: 0.1620, decode.d2.loss_mask: 0.4170, decode.d2.loss_dice: 0.6347, decode.d3.loss_cls: 0.1452, decode.d3.loss_mask: 0.4151, decode.d3.loss_dice: 0.6289, decode.d4.loss_cls: 0.1404, decode.d4.loss_mask: 0.4144, decode.d4.loss_dice: 0.6286, decode.d5.loss_cls: 0.1375, decode.d5.loss_mask: 0.4139, decode.d5.loss_dice: 0.6262, decode.d6.loss_cls: 0.1371, decode.d6.loss_mask: 0.4127, decode.d6.loss_dice: 0.6253, decode.d7.loss_cls: 0.1321, decode.d7.loss_mask: 0.4126, decode.d7.loss_dice: 0.6235, decode.d8.loss_cls: 0.1340, decode.d8.loss_mask: 0.4126, decode.d8.loss_dice: 0.6258, loss: 12.9404, grad_norm: 41.8829 2023-11-12 17:43:42,877 - mmseg - INFO - Iter [136750/160000] lr: 1.453e-05, eta: 3:13:32, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1281, decode.loss_mask: 0.4142, decode.loss_dice: 0.6165, decode.d0.loss_cls: 1.0361, decode.d0.loss_mask: 0.4463, decode.d0.loss_dice: 0.6643, decode.d1.loss_cls: 0.1928, decode.d1.loss_mask: 0.4291, decode.d1.loss_dice: 0.6431, decode.d2.loss_cls: 0.1567, decode.d2.loss_mask: 0.4205, decode.d2.loss_dice: 0.6274, decode.d3.loss_cls: 0.1409, decode.d3.loss_mask: 0.4178, decode.d3.loss_dice: 0.6194, decode.d4.loss_cls: 0.1389, decode.d4.loss_mask: 0.4170, decode.d4.loss_dice: 0.6185, decode.d5.loss_cls: 0.1382, decode.d5.loss_mask: 0.4161, decode.d5.loss_dice: 0.6170, decode.d6.loss_cls: 0.1307, decode.d6.loss_mask: 0.4163, decode.d6.loss_dice: 0.6172, decode.d7.loss_cls: 0.1325, decode.d7.loss_mask: 0.4151, decode.d7.loss_dice: 0.6162, decode.d8.loss_cls: 0.1299, decode.d8.loss_mask: 0.4155, decode.d8.loss_dice: 0.6183, loss: 12.7905, grad_norm: 48.2904 2023-11-12 17:44:06,739 - mmseg - INFO - Iter [136800/160000] lr: 1.450e-05, eta: 3:13:07, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1333, decode.loss_mask: 0.4212, decode.loss_dice: 0.6151, decode.d0.loss_cls: 1.0984, decode.d0.loss_mask: 0.4540, decode.d0.loss_dice: 0.6687, decode.d1.loss_cls: 0.1910, decode.d1.loss_mask: 0.4378, decode.d1.loss_dice: 0.6470, decode.d2.loss_cls: 0.1607, decode.d2.loss_mask: 0.4282, decode.d2.loss_dice: 0.6310, decode.d3.loss_cls: 0.1457, decode.d3.loss_mask: 0.4250, decode.d3.loss_dice: 0.6195, decode.d4.loss_cls: 0.1460, decode.d4.loss_mask: 0.4241, decode.d4.loss_dice: 0.6193, decode.d5.loss_cls: 0.1394, decode.d5.loss_mask: 0.4232, decode.d5.loss_dice: 0.6192, decode.d6.loss_cls: 0.1340, decode.d6.loss_mask: 0.4224, decode.d6.loss_dice: 0.6181, decode.d7.loss_cls: 0.1332, decode.d7.loss_mask: 0.4227, decode.d7.loss_dice: 0.6206, decode.d8.loss_cls: 0.1334, decode.d8.loss_mask: 0.4212, decode.d8.loss_dice: 0.6170, loss: 12.9703, grad_norm: 47.5209 2023-11-12 17:44:30,485 - mmseg - INFO - Iter [136850/160000] lr: 1.447e-05, eta: 3:12:42, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1317, decode.loss_mask: 0.3994, decode.loss_dice: 0.6102, decode.d0.loss_cls: 1.0981, decode.d0.loss_mask: 0.4303, decode.d0.loss_dice: 0.6613, decode.d1.loss_cls: 0.1940, decode.d1.loss_mask: 0.4097, decode.d1.loss_dice: 0.6392, decode.d2.loss_cls: 0.1613, decode.d2.loss_mask: 0.4064, decode.d2.loss_dice: 0.6228, decode.d3.loss_cls: 0.1517, decode.d3.loss_mask: 0.4014, decode.d3.loss_dice: 0.6118, decode.d4.loss_cls: 0.1372, decode.d4.loss_mask: 0.4010, decode.d4.loss_dice: 0.6141, decode.d5.loss_cls: 0.1407, decode.d5.loss_mask: 0.4018, decode.d5.loss_dice: 0.6161, decode.d6.loss_cls: 0.1374, decode.d6.loss_mask: 0.4006, decode.d6.loss_dice: 0.6120, decode.d7.loss_cls: 0.1330, decode.d7.loss_mask: 0.3993, decode.d7.loss_dice: 0.6111, decode.d8.loss_cls: 0.1327, decode.d8.loss_mask: 0.3994, decode.d8.loss_dice: 0.6111, loss: 12.6766, grad_norm: 44.6285 2023-11-12 17:44:54,224 - mmseg - INFO - Iter [136900/160000] lr: 1.444e-05, eta: 3:12:17, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1488, decode.loss_mask: 0.4118, decode.loss_dice: 0.6348, decode.d0.loss_cls: 1.0715, decode.d0.loss_mask: 0.4370, decode.d0.loss_dice: 0.6857, decode.d1.loss_cls: 0.1995, decode.d1.loss_mask: 0.4207, decode.d1.loss_dice: 0.6642, decode.d2.loss_cls: 0.1781, decode.d2.loss_mask: 0.4158, decode.d2.loss_dice: 0.6522, decode.d3.loss_cls: 0.1697, decode.d3.loss_mask: 0.4130, decode.d3.loss_dice: 0.6417, decode.d4.loss_cls: 0.1619, decode.d4.loss_mask: 0.4125, decode.d4.loss_dice: 0.6404, decode.d5.loss_cls: 0.1598, decode.d5.loss_mask: 0.4116, decode.d5.loss_dice: 0.6382, decode.d6.loss_cls: 0.1584, decode.d6.loss_mask: 0.4114, decode.d6.loss_dice: 0.6336, decode.d7.loss_cls: 0.1493, decode.d7.loss_mask: 0.4115, decode.d7.loss_dice: 0.6385, decode.d8.loss_cls: 0.1548, decode.d8.loss_mask: 0.4115, decode.d8.loss_dice: 0.6390, loss: 13.1768, grad_norm: 48.2331 2023-11-12 17:45:22,136 - mmseg - INFO - Iter [136950/160000] lr: 1.441e-05, eta: 3:11:52, time: 0.558, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1407, decode.loss_mask: 0.4173, decode.loss_dice: 0.6262, decode.d0.loss_cls: 1.0938, decode.d0.loss_mask: 0.4482, decode.d0.loss_dice: 0.6819, decode.d1.loss_cls: 0.1957, decode.d1.loss_mask: 0.4279, decode.d1.loss_dice: 0.6547, decode.d2.loss_cls: 0.1697, decode.d2.loss_mask: 0.4217, decode.d2.loss_dice: 0.6407, decode.d3.loss_cls: 0.1570, decode.d3.loss_mask: 0.4181, decode.d3.loss_dice: 0.6298, decode.d4.loss_cls: 0.1518, decode.d4.loss_mask: 0.4184, decode.d4.loss_dice: 0.6292, decode.d5.loss_cls: 0.1466, decode.d5.loss_mask: 0.4163, decode.d5.loss_dice: 0.6270, decode.d6.loss_cls: 0.1443, decode.d6.loss_mask: 0.4174, decode.d6.loss_dice: 0.6242, decode.d7.loss_cls: 0.1448, decode.d7.loss_mask: 0.4174, decode.d7.loss_dice: 0.6231, decode.d8.loss_cls: 0.1454, decode.d8.loss_mask: 0.4156, decode.d8.loss_dice: 0.6233, loss: 13.0680, grad_norm: 45.6353 2023-11-12 17:45:46,368 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 17:45:46,368 - mmseg - INFO - Iter [137000/160000] lr: 1.438e-05, eta: 3:11:27, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1464, decode.loss_mask: 0.3917, decode.loss_dice: 0.6094, decode.d0.loss_cls: 1.1310, decode.d0.loss_mask: 0.4200, decode.d0.loss_dice: 0.6658, decode.d1.loss_cls: 0.2133, decode.d1.loss_mask: 0.4023, decode.d1.loss_dice: 0.6333, decode.d2.loss_cls: 0.1802, decode.d2.loss_mask: 0.3976, decode.d2.loss_dice: 0.6246, decode.d3.loss_cls: 0.1641, decode.d3.loss_mask: 0.3949, decode.d3.loss_dice: 0.6131, decode.d4.loss_cls: 0.1554, decode.d4.loss_mask: 0.3934, decode.d4.loss_dice: 0.6155, decode.d5.loss_cls: 0.1546, decode.d5.loss_mask: 0.3922, decode.d5.loss_dice: 0.6100, decode.d6.loss_cls: 0.1532, decode.d6.loss_mask: 0.3935, decode.d6.loss_dice: 0.6108, decode.d7.loss_cls: 0.1448, decode.d7.loss_mask: 0.3927, decode.d7.loss_dice: 0.6107, decode.d8.loss_cls: 0.1491, decode.d8.loss_mask: 0.3926, decode.d8.loss_dice: 0.6077, loss: 12.7639, grad_norm: 47.5272 2023-11-12 17:46:10,550 - mmseg - INFO - Iter [137050/160000] lr: 1.434e-05, eta: 3:11:02, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1444, decode.loss_mask: 0.4046, decode.loss_dice: 0.6322, decode.d0.loss_cls: 1.0989, decode.d0.loss_mask: 0.4354, decode.d0.loss_dice: 0.6843, decode.d1.loss_cls: 0.2050, decode.d1.loss_mask: 0.4158, decode.d1.loss_dice: 0.6495, decode.d2.loss_cls: 0.1730, decode.d2.loss_mask: 0.4102, decode.d2.loss_dice: 0.6414, decode.d3.loss_cls: 0.1607, decode.d3.loss_mask: 0.4068, decode.d3.loss_dice: 0.6303, decode.d4.loss_cls: 0.1519, decode.d4.loss_mask: 0.4053, decode.d4.loss_dice: 0.6331, decode.d5.loss_cls: 0.1503, decode.d5.loss_mask: 0.4065, decode.d5.loss_dice: 0.6355, decode.d6.loss_cls: 0.1459, decode.d6.loss_mask: 0.4052, decode.d6.loss_dice: 0.6323, decode.d7.loss_cls: 0.1495, decode.d7.loss_mask: 0.4039, decode.d7.loss_dice: 0.6256, decode.d8.loss_cls: 0.1450, decode.d8.loss_mask: 0.4041, decode.d8.loss_dice: 0.6290, loss: 13.0156, grad_norm: 45.3743 2023-11-12 17:46:34,999 - mmseg - INFO - Iter [137100/160000] lr: 1.431e-05, eta: 3:10:37, time: 0.487, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1435, decode.loss_mask: 0.4065, decode.loss_dice: 0.6125, decode.d0.loss_cls: 1.0811, decode.d0.loss_mask: 0.4399, decode.d0.loss_dice: 0.6619, decode.d1.loss_cls: 0.2008, decode.d1.loss_mask: 0.4212, decode.d1.loss_dice: 0.6375, decode.d2.loss_cls: 0.1695, decode.d2.loss_mask: 0.4127, decode.d2.loss_dice: 0.6267, decode.d3.loss_cls: 0.1588, decode.d3.loss_mask: 0.4078, decode.d3.loss_dice: 0.6125, decode.d4.loss_cls: 0.1534, decode.d4.loss_mask: 0.4096, decode.d4.loss_dice: 0.6170, decode.d5.loss_cls: 0.1514, decode.d5.loss_mask: 0.4084, decode.d5.loss_dice: 0.6134, decode.d6.loss_cls: 0.1437, decode.d6.loss_mask: 0.4081, decode.d6.loss_dice: 0.6136, decode.d7.loss_cls: 0.1452, decode.d7.loss_mask: 0.4065, decode.d7.loss_dice: 0.6134, decode.d8.loss_cls: 0.1412, decode.d8.loss_mask: 0.4082, decode.d8.loss_dice: 0.6185, loss: 12.8444, grad_norm: 46.7567 2023-11-12 17:47:01,456 - mmseg - INFO - Iter [137150/160000] lr: 1.428e-05, eta: 3:10:12, time: 0.531, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1381, decode.loss_mask: 0.3992, decode.loss_dice: 0.6149, decode.d0.loss_cls: 1.0958, decode.d0.loss_mask: 0.4251, decode.d0.loss_dice: 0.6628, decode.d1.loss_cls: 0.1974, decode.d1.loss_mask: 0.4100, decode.d1.loss_dice: 0.6432, decode.d2.loss_cls: 0.1666, decode.d2.loss_mask: 0.4042, decode.d2.loss_dice: 0.6282, decode.d3.loss_cls: 0.1542, decode.d3.loss_mask: 0.4006, decode.d3.loss_dice: 0.6166, decode.d4.loss_cls: 0.1448, decode.d4.loss_mask: 0.4007, decode.d4.loss_dice: 0.6180, decode.d5.loss_cls: 0.1418, decode.d5.loss_mask: 0.3996, decode.d5.loss_dice: 0.6146, decode.d6.loss_cls: 0.1416, decode.d6.loss_mask: 0.3990, decode.d6.loss_dice: 0.6153, decode.d7.loss_cls: 0.1376, decode.d7.loss_mask: 0.3985, decode.d7.loss_dice: 0.6160, decode.d8.loss_cls: 0.1396, decode.d8.loss_mask: 0.3994, decode.d8.loss_dice: 0.6148, loss: 12.7384, grad_norm: 45.0648 2023-11-12 17:47:25,435 - mmseg - INFO - Iter [137200/160000] lr: 1.425e-05, eta: 3:09:47, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1419, decode.loss_mask: 0.4064, decode.loss_dice: 0.6202, decode.d0.loss_cls: 1.1029, decode.d0.loss_mask: 0.4372, decode.d0.loss_dice: 0.6729, decode.d1.loss_cls: 0.2006, decode.d1.loss_mask: 0.4181, decode.d1.loss_dice: 0.6499, decode.d2.loss_cls: 0.1718, decode.d2.loss_mask: 0.4116, decode.d2.loss_dice: 0.6376, decode.d3.loss_cls: 0.1574, decode.d3.loss_mask: 0.4079, decode.d3.loss_dice: 0.6267, decode.d4.loss_cls: 0.1502, decode.d4.loss_mask: 0.4092, decode.d4.loss_dice: 0.6282, decode.d5.loss_cls: 0.1472, decode.d5.loss_mask: 0.4092, decode.d5.loss_dice: 0.6255, decode.d6.loss_cls: 0.1440, decode.d6.loss_mask: 0.4086, decode.d6.loss_dice: 0.6261, decode.d7.loss_cls: 0.1454, decode.d7.loss_mask: 0.4083, decode.d7.loss_dice: 0.6256, decode.d8.loss_cls: 0.1403, decode.d8.loss_mask: 0.4077, decode.d8.loss_dice: 0.6237, loss: 12.9620, grad_norm: 44.2202 2023-11-12 17:47:49,208 - mmseg - INFO - Iter [137250/160000] lr: 1.422e-05, eta: 3:09:22, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1380, decode.loss_mask: 0.4165, decode.loss_dice: 0.6331, decode.d0.loss_cls: 1.0866, decode.d0.loss_mask: 0.4465, decode.d0.loss_dice: 0.6903, decode.d1.loss_cls: 0.2040, decode.d1.loss_mask: 0.4295, decode.d1.loss_dice: 0.6591, decode.d2.loss_cls: 0.1697, decode.d2.loss_mask: 0.4226, decode.d2.loss_dice: 0.6452, decode.d3.loss_cls: 0.1606, decode.d3.loss_mask: 0.4174, decode.d3.loss_dice: 0.6345, decode.d4.loss_cls: 0.1579, decode.d4.loss_mask: 0.4174, decode.d4.loss_dice: 0.6355, decode.d5.loss_cls: 0.1472, decode.d5.loss_mask: 0.4164, decode.d5.loss_dice: 0.6362, decode.d6.loss_cls: 0.1447, decode.d6.loss_mask: 0.4163, decode.d6.loss_dice: 0.6330, decode.d7.loss_cls: 0.1424, decode.d7.loss_mask: 0.4161, decode.d7.loss_dice: 0.6326, decode.d8.loss_cls: 0.1363, decode.d8.loss_mask: 0.4166, decode.d8.loss_dice: 0.6324, loss: 13.1346, grad_norm: 43.3324 2023-11-12 17:48:12,941 - mmseg - INFO - Iter [137300/160000] lr: 1.419e-05, eta: 3:08:57, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1446, decode.loss_mask: 0.3966, decode.loss_dice: 0.6199, decode.d0.loss_cls: 1.1138, decode.d0.loss_mask: 0.4298, decode.d0.loss_dice: 0.6795, decode.d1.loss_cls: 0.2174, decode.d1.loss_mask: 0.4098, decode.d1.loss_dice: 0.6479, decode.d2.loss_cls: 0.1765, decode.d2.loss_mask: 0.4037, decode.d2.loss_dice: 0.6367, decode.d3.loss_cls: 0.1691, decode.d3.loss_mask: 0.3977, decode.d3.loss_dice: 0.6246, decode.d4.loss_cls: 0.1590, decode.d4.loss_mask: 0.3967, decode.d4.loss_dice: 0.6232, decode.d5.loss_cls: 0.1542, decode.d5.loss_mask: 0.3969, decode.d5.loss_dice: 0.6225, decode.d6.loss_cls: 0.1527, decode.d6.loss_mask: 0.3960, decode.d6.loss_dice: 0.6177, decode.d7.loss_cls: 0.1465, decode.d7.loss_mask: 0.3961, decode.d7.loss_dice: 0.6208, decode.d8.loss_cls: 0.1460, decode.d8.loss_mask: 0.3961, decode.d8.loss_dice: 0.6203, loss: 12.9123, grad_norm: 46.6930 2023-11-12 17:48:36,807 - mmseg - INFO - Iter [137350/160000] lr: 1.416e-05, eta: 3:08:32, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1425, decode.loss_mask: 0.3904, decode.loss_dice: 0.6036, decode.d0.loss_cls: 1.1044, decode.d0.loss_mask: 0.4190, decode.d0.loss_dice: 0.6534, decode.d1.loss_cls: 0.1935, decode.d1.loss_mask: 0.4003, decode.d1.loss_dice: 0.6273, decode.d2.loss_cls: 0.1653, decode.d2.loss_mask: 0.3964, decode.d2.loss_dice: 0.6178, decode.d3.loss_cls: 0.1509, decode.d3.loss_mask: 0.3933, decode.d3.loss_dice: 0.6093, decode.d4.loss_cls: 0.1452, decode.d4.loss_mask: 0.3929, decode.d4.loss_dice: 0.6061, decode.d5.loss_cls: 0.1435, decode.d5.loss_mask: 0.3917, decode.d5.loss_dice: 0.6079, decode.d6.loss_cls: 0.1422, decode.d6.loss_mask: 0.3923, decode.d6.loss_dice: 0.6069, decode.d7.loss_cls: 0.1391, decode.d7.loss_mask: 0.3915, decode.d7.loss_dice: 0.6065, decode.d8.loss_cls: 0.1391, decode.d8.loss_mask: 0.3910, decode.d8.loss_dice: 0.6053, loss: 12.5687, grad_norm: 40.0240 2023-11-12 17:49:00,580 - mmseg - INFO - Iter [137400/160000] lr: 1.413e-05, eta: 3:08:06, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1489, decode.loss_mask: 0.3924, decode.loss_dice: 0.6088, decode.d0.loss_cls: 1.1016, decode.d0.loss_mask: 0.4218, decode.d0.loss_dice: 0.6674, decode.d1.loss_cls: 0.2002, decode.d1.loss_mask: 0.4033, decode.d1.loss_dice: 0.6407, decode.d2.loss_cls: 0.1700, decode.d2.loss_mask: 0.3977, decode.d2.loss_dice: 0.6284, decode.d3.loss_cls: 0.1598, decode.d3.loss_mask: 0.3949, decode.d3.loss_dice: 0.6177, decode.d4.loss_cls: 0.1563, decode.d4.loss_mask: 0.3941, decode.d4.loss_dice: 0.6128, decode.d5.loss_cls: 0.1488, decode.d5.loss_mask: 0.3958, decode.d5.loss_dice: 0.6136, decode.d6.loss_cls: 0.1521, decode.d6.loss_mask: 0.3938, decode.d6.loss_dice: 0.6123, decode.d7.loss_cls: 0.1466, decode.d7.loss_mask: 0.3936, decode.d7.loss_dice: 0.6101, decode.d8.loss_cls: 0.1450, decode.d8.loss_mask: 0.3937, decode.d8.loss_dice: 0.6132, loss: 12.7356, grad_norm: 46.8520 2023-11-12 17:49:26,518 - mmseg - INFO - Iter [137450/160000] lr: 1.409e-05, eta: 3:07:42, time: 0.519, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1434, decode.loss_mask: 0.4307, decode.loss_dice: 0.6327, decode.d0.loss_cls: 1.0978, decode.d0.loss_mask: 0.4618, decode.d0.loss_dice: 0.6883, decode.d1.loss_cls: 0.2031, decode.d1.loss_mask: 0.4430, decode.d1.loss_dice: 0.6627, decode.d2.loss_cls: 0.1758, decode.d2.loss_mask: 0.4331, decode.d2.loss_dice: 0.6500, decode.d3.loss_cls: 0.1554, decode.d3.loss_mask: 0.4316, decode.d3.loss_dice: 0.6409, decode.d4.loss_cls: 0.1558, decode.d4.loss_mask: 0.4298, decode.d4.loss_dice: 0.6412, decode.d5.loss_cls: 0.1535, decode.d5.loss_mask: 0.4301, decode.d5.loss_dice: 0.6384, decode.d6.loss_cls: 0.1454, decode.d6.loss_mask: 0.4301, decode.d6.loss_dice: 0.6353, decode.d7.loss_cls: 0.1407, decode.d7.loss_mask: 0.4294, decode.d7.loss_dice: 0.6367, decode.d8.loss_cls: 0.1437, decode.d8.loss_mask: 0.4291, decode.d8.loss_dice: 0.6387, loss: 13.3281, grad_norm: 48.9978 2023-11-12 17:49:52,548 - mmseg - INFO - Iter [137500/160000] lr: 1.406e-05, eta: 3:07:17, time: 0.521, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1455, decode.loss_mask: 0.3926, decode.loss_dice: 0.6205, decode.d0.loss_cls: 1.1328, decode.d0.loss_mask: 0.4213, decode.d0.loss_dice: 0.6749, decode.d1.loss_cls: 0.2150, decode.d1.loss_mask: 0.4028, decode.d1.loss_dice: 0.6470, decode.d2.loss_cls: 0.1789, decode.d2.loss_mask: 0.3971, decode.d2.loss_dice: 0.6344, decode.d3.loss_cls: 0.1637, decode.d3.loss_mask: 0.3948, decode.d3.loss_dice: 0.6253, decode.d4.loss_cls: 0.1555, decode.d4.loss_mask: 0.3942, decode.d4.loss_dice: 0.6279, decode.d5.loss_cls: 0.1544, decode.d5.loss_mask: 0.3938, decode.d5.loss_dice: 0.6260, decode.d6.loss_cls: 0.1494, decode.d6.loss_mask: 0.3932, decode.d6.loss_dice: 0.6244, decode.d7.loss_cls: 0.1437, decode.d7.loss_mask: 0.3946, decode.d7.loss_dice: 0.6244, decode.d8.loss_cls: 0.1458, decode.d8.loss_mask: 0.3931, decode.d8.loss_dice: 0.6219, loss: 12.8886, grad_norm: 42.3804 2023-11-12 17:50:17,310 - mmseg - INFO - Iter [137550/160000] lr: 1.403e-05, eta: 3:06:52, time: 0.495, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1392, decode.loss_mask: 0.4070, decode.loss_dice: 0.6074, decode.d0.loss_cls: 1.0849, decode.d0.loss_mask: 0.4341, decode.d0.loss_dice: 0.6565, decode.d1.loss_cls: 0.1954, decode.d1.loss_mask: 0.4166, decode.d1.loss_dice: 0.6332, decode.d2.loss_cls: 0.1710, decode.d2.loss_mask: 0.4107, decode.d2.loss_dice: 0.6190, decode.d3.loss_cls: 0.1587, decode.d3.loss_mask: 0.4086, decode.d3.loss_dice: 0.6129, decode.d4.loss_cls: 0.1491, decode.d4.loss_mask: 0.4085, decode.d4.loss_dice: 0.6119, decode.d5.loss_cls: 0.1488, decode.d5.loss_mask: 0.4084, decode.d5.loss_dice: 0.6105, decode.d6.loss_cls: 0.1442, decode.d6.loss_mask: 0.4069, decode.d6.loss_dice: 0.6082, decode.d7.loss_cls: 0.1423, decode.d7.loss_mask: 0.4087, decode.d7.loss_dice: 0.6081, decode.d8.loss_cls: 0.1418, decode.d8.loss_mask: 0.4081, decode.d8.loss_dice: 0.6039, loss: 12.7645, grad_norm: 44.8599 2023-11-12 17:50:41,386 - mmseg - INFO - Iter [137600/160000] lr: 1.400e-05, eta: 3:06:27, time: 0.482, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1517, decode.loss_mask: 0.3940, decode.loss_dice: 0.6325, decode.d0.loss_cls: 1.1367, decode.d0.loss_mask: 0.4253, decode.d0.loss_dice: 0.6812, decode.d1.loss_cls: 0.2083, decode.d1.loss_mask: 0.4046, decode.d1.loss_dice: 0.6625, decode.d2.loss_cls: 0.1782, decode.d2.loss_mask: 0.3994, decode.d2.loss_dice: 0.6437, decode.d3.loss_cls: 0.1669, decode.d3.loss_mask: 0.3959, decode.d3.loss_dice: 0.6386, decode.d4.loss_cls: 0.1555, decode.d4.loss_mask: 0.3950, decode.d4.loss_dice: 0.6347, decode.d5.loss_cls: 0.1603, decode.d5.loss_mask: 0.3943, decode.d5.loss_dice: 0.6337, decode.d6.loss_cls: 0.1534, decode.d6.loss_mask: 0.3938, decode.d6.loss_dice: 0.6329, decode.d7.loss_cls: 0.1541, decode.d7.loss_mask: 0.3947, decode.d7.loss_dice: 0.6344, decode.d8.loss_cls: 0.1524, decode.d8.loss_mask: 0.3937, decode.d8.loss_dice: 0.6333, loss: 13.0358, grad_norm: 43.6011 2023-11-12 17:51:05,726 - mmseg - INFO - Iter [137650/160000] lr: 1.397e-05, eta: 3:06:02, time: 0.487, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1344, decode.loss_mask: 0.4182, decode.loss_dice: 0.6172, decode.d0.loss_cls: 1.0726, decode.d0.loss_mask: 0.4491, decode.d0.loss_dice: 0.6641, decode.d1.loss_cls: 0.1896, decode.d1.loss_mask: 0.4275, decode.d1.loss_dice: 0.6440, decode.d2.loss_cls: 0.1642, decode.d2.loss_mask: 0.4217, decode.d2.loss_dice: 0.6281, decode.d3.loss_cls: 0.1470, decode.d3.loss_mask: 0.4211, decode.d3.loss_dice: 0.6209, decode.d4.loss_cls: 0.1440, decode.d4.loss_mask: 0.4210, decode.d4.loss_dice: 0.6261, decode.d5.loss_cls: 0.1397, decode.d5.loss_mask: 0.4198, decode.d5.loss_dice: 0.6210, decode.d6.loss_cls: 0.1375, decode.d6.loss_mask: 0.4182, decode.d6.loss_dice: 0.6195, decode.d7.loss_cls: 0.1349, decode.d7.loss_mask: 0.4181, decode.d7.loss_dice: 0.6205, decode.d8.loss_cls: 0.1324, decode.d8.loss_mask: 0.4187, decode.d8.loss_dice: 0.6203, loss: 12.9114, grad_norm: 42.6851 2023-11-12 17:51:32,992 - mmseg - INFO - Iter [137700/160000] lr: 1.394e-05, eta: 3:05:37, time: 0.545, data_time: 0.069, memory: 41146, decode.loss_cls: 0.1337, decode.loss_mask: 0.4115, decode.loss_dice: 0.6050, decode.d0.loss_cls: 1.0901, decode.d0.loss_mask: 0.4415, decode.d0.loss_dice: 0.6524, decode.d1.loss_cls: 0.1902, decode.d1.loss_mask: 0.4240, decode.d1.loss_dice: 0.6369, decode.d2.loss_cls: 0.1612, decode.d2.loss_mask: 0.4179, decode.d2.loss_dice: 0.6212, decode.d3.loss_cls: 0.1465, decode.d3.loss_mask: 0.4147, decode.d3.loss_dice: 0.6128, decode.d4.loss_cls: 0.1382, decode.d4.loss_mask: 0.4148, decode.d4.loss_dice: 0.6079, decode.d5.loss_cls: 0.1405, decode.d5.loss_mask: 0.4129, decode.d5.loss_dice: 0.6094, decode.d6.loss_cls: 0.1397, decode.d6.loss_mask: 0.4130, decode.d6.loss_dice: 0.6094, decode.d7.loss_cls: 0.1419, decode.d7.loss_mask: 0.4120, decode.d7.loss_dice: 0.6071, decode.d8.loss_cls: 0.1404, decode.d8.loss_mask: 0.4114, decode.d8.loss_dice: 0.6101, loss: 12.7685, grad_norm: 44.2009 2023-11-12 17:51:58,356 - mmseg - INFO - Iter [137750/160000] lr: 1.391e-05, eta: 3:05:12, time: 0.507, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1449, decode.loss_mask: 0.4063, decode.loss_dice: 0.6060, decode.d0.loss_cls: 1.0994, decode.d0.loss_mask: 0.4379, decode.d0.loss_dice: 0.6614, decode.d1.loss_cls: 0.2092, decode.d1.loss_mask: 0.4185, decode.d1.loss_dice: 0.6386, decode.d2.loss_cls: 0.1766, decode.d2.loss_mask: 0.4116, decode.d2.loss_dice: 0.6230, decode.d3.loss_cls: 0.1629, decode.d3.loss_mask: 0.4091, decode.d3.loss_dice: 0.6186, decode.d4.loss_cls: 0.1602, decode.d4.loss_mask: 0.4073, decode.d4.loss_dice: 0.6118, decode.d5.loss_cls: 0.1523, decode.d5.loss_mask: 0.4074, decode.d5.loss_dice: 0.6150, decode.d6.loss_cls: 0.1508, decode.d6.loss_mask: 0.4079, decode.d6.loss_dice: 0.6093, decode.d7.loss_cls: 0.1459, decode.d7.loss_mask: 0.4072, decode.d7.loss_dice: 0.6124, decode.d8.loss_cls: 0.1512, decode.d8.loss_mask: 0.4058, decode.d8.loss_dice: 0.6101, loss: 12.8787, grad_norm: 45.8079 2023-11-12 17:52:21,882 - mmseg - INFO - Iter [137800/160000] lr: 1.388e-05, eta: 3:04:47, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1418, decode.loss_mask: 0.4050, decode.loss_dice: 0.6219, decode.d0.loss_cls: 1.0993, decode.d0.loss_mask: 0.4368, decode.d0.loss_dice: 0.6751, decode.d1.loss_cls: 0.2061, decode.d1.loss_mask: 0.4182, decode.d1.loss_dice: 0.6476, decode.d2.loss_cls: 0.1727, decode.d2.loss_mask: 0.4116, decode.d2.loss_dice: 0.6361, decode.d3.loss_cls: 0.1627, decode.d3.loss_mask: 0.4096, decode.d3.loss_dice: 0.6248, decode.d4.loss_cls: 0.1543, decode.d4.loss_mask: 0.4087, decode.d4.loss_dice: 0.6262, decode.d5.loss_cls: 0.1503, decode.d5.loss_mask: 0.4070, decode.d5.loss_dice: 0.6249, decode.d6.loss_cls: 0.1483, decode.d6.loss_mask: 0.4062, decode.d6.loss_dice: 0.6231, decode.d7.loss_cls: 0.1465, decode.d7.loss_mask: 0.4058, decode.d7.loss_dice: 0.6218, decode.d8.loss_cls: 0.1470, decode.d8.loss_mask: 0.4052, decode.d8.loss_dice: 0.6252, loss: 12.9699, grad_norm: 48.5518 2023-11-12 17:52:45,655 - mmseg - INFO - Iter [137850/160000] lr: 1.384e-05, eta: 3:04:22, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1403, decode.loss_mask: 0.3862, decode.loss_dice: 0.6168, decode.d0.loss_cls: 1.0898, decode.d0.loss_mask: 0.4167, decode.d0.loss_dice: 0.6633, decode.d1.loss_cls: 0.1958, decode.d1.loss_mask: 0.3968, decode.d1.loss_dice: 0.6469, decode.d2.loss_cls: 0.1752, decode.d2.loss_mask: 0.3923, decode.d2.loss_dice: 0.6283, decode.d3.loss_cls: 0.1590, decode.d3.loss_mask: 0.3881, decode.d3.loss_dice: 0.6187, decode.d4.loss_cls: 0.1546, decode.d4.loss_mask: 0.3866, decode.d4.loss_dice: 0.6163, decode.d5.loss_cls: 0.1509, decode.d5.loss_mask: 0.3863, decode.d5.loss_dice: 0.6180, decode.d6.loss_cls: 0.1460, decode.d6.loss_mask: 0.3860, decode.d6.loss_dice: 0.6137, decode.d7.loss_cls: 0.1433, decode.d7.loss_mask: 0.3869, decode.d7.loss_dice: 0.6159, decode.d8.loss_cls: 0.1435, decode.d8.loss_mask: 0.3867, decode.d8.loss_dice: 0.6148, loss: 12.6636, grad_norm: 41.7452 2023-11-12 17:53:09,664 - mmseg - INFO - Iter [137900/160000] lr: 1.381e-05, eta: 3:03:57, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1494, decode.loss_mask: 0.3931, decode.loss_dice: 0.6221, decode.d0.loss_cls: 1.1271, decode.d0.loss_mask: 0.4244, decode.d0.loss_dice: 0.6873, decode.d1.loss_cls: 0.2179, decode.d1.loss_mask: 0.4027, decode.d1.loss_dice: 0.6503, decode.d2.loss_cls: 0.1819, decode.d2.loss_mask: 0.3977, decode.d2.loss_dice: 0.6354, decode.d3.loss_cls: 0.1704, decode.d3.loss_mask: 0.3941, decode.d3.loss_dice: 0.6200, decode.d4.loss_cls: 0.1624, decode.d4.loss_mask: 0.3941, decode.d4.loss_dice: 0.6214, decode.d5.loss_cls: 0.1557, decode.d5.loss_mask: 0.3932, decode.d5.loss_dice: 0.6233, decode.d6.loss_cls: 0.1574, decode.d6.loss_mask: 0.3924, decode.d6.loss_dice: 0.6211, decode.d7.loss_cls: 0.1502, decode.d7.loss_mask: 0.3932, decode.d7.loss_dice: 0.6225, decode.d8.loss_cls: 0.1462, decode.d8.loss_mask: 0.3937, decode.d8.loss_dice: 0.6213, loss: 12.9218, grad_norm: 41.7491 2023-11-12 17:53:35,894 - mmseg - INFO - Iter [137950/160000] lr: 1.378e-05, eta: 3:03:32, time: 0.525, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1330, decode.loss_mask: 0.4168, decode.loss_dice: 0.6357, decode.d0.loss_cls: 1.1118, decode.d0.loss_mask: 0.4479, decode.d0.loss_dice: 0.6945, decode.d1.loss_cls: 0.1934, decode.d1.loss_mask: 0.4266, decode.d1.loss_dice: 0.6588, decode.d2.loss_cls: 0.1605, decode.d2.loss_mask: 0.4217, decode.d2.loss_dice: 0.6469, decode.d3.loss_cls: 0.1497, decode.d3.loss_mask: 0.4194, decode.d3.loss_dice: 0.6402, decode.d4.loss_cls: 0.1459, decode.d4.loss_mask: 0.4184, decode.d4.loss_dice: 0.6361, decode.d5.loss_cls: 0.1417, decode.d5.loss_mask: 0.4170, decode.d5.loss_dice: 0.6409, decode.d6.loss_cls: 0.1384, decode.d6.loss_mask: 0.4161, decode.d6.loss_dice: 0.6346, decode.d7.loss_cls: 0.1340, decode.d7.loss_mask: 0.4164, decode.d7.loss_dice: 0.6348, decode.d8.loss_cls: 0.1341, decode.d8.loss_mask: 0.4156, decode.d8.loss_dice: 0.6360, loss: 13.1167, grad_norm: 43.4968 2023-11-12 17:53:59,980 - mmseg - INFO - Saving checkpoint at 138000 iterations 2023-11-12 17:54:04,154 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 17:54:04,154 - mmseg - INFO - Iter [138000/160000] lr: 1.375e-05, eta: 3:03:07, time: 0.565, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1621, decode.loss_mask: 0.4017, decode.loss_dice: 0.6504, decode.d0.loss_cls: 1.1317, decode.d0.loss_mask: 0.4319, decode.d0.loss_dice: 0.7094, decode.d1.loss_cls: 0.2203, decode.d1.loss_mask: 0.4134, decode.d1.loss_dice: 0.6753, decode.d2.loss_cls: 0.1903, decode.d2.loss_mask: 0.4069, decode.d2.loss_dice: 0.6617, decode.d3.loss_cls: 0.1788, decode.d3.loss_mask: 0.4034, decode.d3.loss_dice: 0.6521, decode.d4.loss_cls: 0.1690, decode.d4.loss_mask: 0.4035, decode.d4.loss_dice: 0.6510, decode.d5.loss_cls: 0.1631, decode.d5.loss_mask: 0.4021, decode.d5.loss_dice: 0.6547, decode.d6.loss_cls: 0.1629, decode.d6.loss_mask: 0.4033, decode.d6.loss_dice: 0.6491, decode.d7.loss_cls: 0.1578, decode.d7.loss_mask: 0.4025, decode.d7.loss_dice: 0.6491, decode.d8.loss_cls: 0.1571, decode.d8.loss_mask: 0.4019, decode.d8.loss_dice: 0.6456, loss: 13.3619, grad_norm: 44.4641 2023-11-12 17:54:23,276 - mmseg - INFO - per class results: 2023-11-12 17:54:23,281 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.04 | 88.24 | | building | 82.41 | 91.01 | | sky | 94.1 | 96.62 | | floor | 83.3 | 91.35 | | tree | 74.67 | 88.27 | | ceiling | 84.36 | 91.13 | | road | 84.86 | 91.57 | | bed | 90.87 | 96.25 | | windowpane | 64.97 | 80.79 | | grass | 66.54 | 76.88 | | cabinet | 64.56 | 76.92 | | sidewalk | 67.26 | 79.56 | | person | 84.68 | 92.85 | | earth | 39.72 | 60.09 | | door | 51.45 | 66.67 | | table | 68.48 | 80.99 | | mountain | 62.46 | 72.48 | | plant | 53.52 | 68.61 | | curtain | 78.76 | 87.02 | | chair | 63.49 | 74.66 | | car | 84.69 | 92.87 | | water | 55.7 | 70.68 | | painting | 76.68 | 88.23 | | sofa | 70.18 | 85.03 | | shelf | 43.82 | 60.25 | | house | 38.65 | 70.66 | | sea | 66.03 | 90.62 | | mirror | 71.6 | 82.03 | | rug | 63.48 | 74.36 | | field | 37.24 | 50.9 | | armchair | 48.75 | 65.97 | | seat | 60.35 | 80.66 | | fence | 50.81 | 70.69 | | desk | 54.37 | 71.42 | | rock | 47.0 | 72.56 | | wardrobe | 43.66 | 60.24 | | lamp | 73.26 | 84.71 | | bathtub | 78.12 | 86.63 | | railing | 36.07 | 54.4 | | cushion | 65.76 | 76.27 | | base | 32.71 | 51.61 | | box | 28.42 | 38.21 | | column | 44.45 | 55.52 | | signboard | 37.72 | 54.6 | | chest of drawers | 44.72 | 64.7 | | counter | 32.93 | 40.72 | | sand | 33.84 | 45.52 | | sink | 79.36 | 84.63 | | skyscraper | 40.52 | 46.99 | | fireplace | 77.81 | 90.09 | | refrigerator | 75.27 | 82.95 | | grandstand | 37.42 | 68.14 | | path | 29.91 | 47.77 | | stairs | 32.78 | 41.29 | | runway | 86.71 | 92.3 | | case | 63.91 | 79.54 | | pool table | 95.1 | 97.57 | | pillow | 62.84 | 74.09 | | screen door | 62.63 | 69.94 | | stairway | 35.15 | 41.36 | | river | 10.88 | 20.46 | | bridge | 67.93 | 86.44 | | bookcase | 38.69 | 62.32 | | blind | 47.74 | 51.96 | | coffee table | 66.16 | 85.49 | | toilet | 89.22 | 92.62 | | flower | 49.25 | 59.91 | | book | 50.05 | 71.76 | | hill | 6.28 | 14.21 | | bench | 55.05 | 68.58 | | countertop | 65.16 | 78.54 | | stove | 84.29 | 89.2 | | palm | 57.44 | 75.04 | | kitchen island | 58.16 | 87.67 | | computer | 71.4 | 77.96 | | swivel chair | 42.46 | 67.9 | | boat | 72.14 | 88.57 | | bar | 51.93 | 62.84 | | arcade machine | 85.34 | 90.67 | | hovel | 5.2 | 7.98 | | bus | 94.31 | 96.49 | | towel | 71.39 | 80.44 | | light | 61.48 | 71.98 | | truck | 35.75 | 57.26 | | tower | 38.18 | 64.55 | | chandelier | 72.96 | 86.62 | | awning | 34.77 | 44.26 | | streetlight | 42.97 | 62.83 | | booth | 32.91 | 68.43 | | television receiver | 75.89 | 84.1 | | airplane | 66.05 | 73.68 | | dirt track | 7.29 | 54.19 | | apparel | 29.43 | 47.04 | | pole | 27.46 | 44.73 | | land | 4.06 | 8.6 | | bannister | 18.76 | 32.5 | | escalator | 20.33 | 21.21 | | ottoman | 55.78 | 73.75 | | bottle | 26.83 | 33.38 | | buffet | 45.69 | 54.09 | | poster | 22.06 | 31.46 | | stage | 18.84 | 33.96 | | van | 51.88 | 67.67 | | ship | 6.93 | 10.59 | | fountain | 20.58 | 21.8 | | conveyer belt | 63.77 | 95.54 | | canopy | 29.73 | 40.88 | | washer | 71.23 | 73.85 | | plaything | 34.02 | 45.83 | | swimming pool | 40.77 | 44.49 | | stool | 47.19 | 70.0 | | barrel | 91.04 | 97.29 | | basket | 41.06 | 54.22 | | waterfall | 67.82 | 89.06 | | tent | 96.12 | 98.17 | | bag | 16.75 | 20.35 | | minibike | 76.92 | 91.58 | | cradle | 85.73 | 97.45 | | oven | 24.54 | 67.6 | | ball | 29.55 | 32.16 | | food | 62.76 | 80.99 | | step | 15.79 | 21.08 | | tank | 60.44 | 66.13 | | trade name | 27.28 | 33.78 | | microwave | 42.08 | 45.62 | | pot | 51.22 | 58.76 | | animal | 57.34 | 58.5 | | bicycle | 55.39 | 78.24 | | lake | 58.61 | 63.48 | | dishwasher | 78.91 | 84.16 | | screen | 56.96 | 84.4 | | blanket | 27.5 | 34.56 | | sculpture | 68.31 | 87.79 | | hood | 82.01 | 90.77 | | sconce | 54.81 | 67.23 | | vase | 53.88 | 66.92 | | traffic light | 41.93 | 67.33 | | tray | 17.98 | 30.77 | | ashcan | 55.44 | 68.3 | | fan | 70.9 | 84.8 | | pier | 33.52 | 43.66 | | crt screen | 3.12 | 9.94 | | plate | 58.81 | 72.46 | | monitor | 9.43 | 12.61 | | bulletin board | 53.16 | 80.51 | | shower | 1.95 | 24.29 | | radiator | 72.06 | 79.49 | | glass | 22.11 | 23.86 | | clock | 58.2 | 69.3 | | flag | 47.34 | 50.66 | +---------------------+-------+-------+ 2023-11-12 17:54:23,281 - mmseg - INFO - Summary: 2023-11-12 17:54:23,282 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.98 | 52.75 | 65.56 | +-------+-------+-------+ 2023-11-12 17:54:23,282 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 17:54:23,283 - mmseg - INFO - Iter(val) [250] aAcc: 0.8398, mIoU: 0.5275, mAcc: 0.6556, IoU.wall: 0.7904, IoU.building: 0.8241, IoU.sky: 0.9410, IoU.floor: 0.8330, IoU.tree: 0.7467, IoU.ceiling: 0.8436, IoU.road: 0.8486, IoU.bed : 0.9087, IoU.windowpane: 0.6497, IoU.grass: 0.6654, IoU.cabinet: 0.6456, IoU.sidewalk: 0.6726, IoU.person: 0.8468, IoU.earth: 0.3972, IoU.door: 0.5145, IoU.table: 0.6848, IoU.mountain: 0.6246, IoU.plant: 0.5352, IoU.curtain: 0.7876, IoU.chair: 0.6349, IoU.car: 0.8469, IoU.water: 0.5570, IoU.painting: 0.7668, IoU.sofa: 0.7018, IoU.shelf: 0.4382, IoU.house: 0.3865, IoU.sea: 0.6603, IoU.mirror: 0.7160, IoU.rug: 0.6348, IoU.field: 0.3724, IoU.armchair: 0.4875, IoU.seat: 0.6035, IoU.fence: 0.5081, IoU.desk: 0.5437, IoU.rock: 0.4700, IoU.wardrobe: 0.4366, IoU.lamp: 0.7326, IoU.bathtub: 0.7812, IoU.railing: 0.3607, IoU.cushion: 0.6576, IoU.base: 0.3271, IoU.box: 0.2842, IoU.column: 0.4445, IoU.signboard: 0.3772, IoU.chest of drawers: 0.4472, IoU.counter: 0.3293, IoU.sand: 0.3384, IoU.sink: 0.7936, IoU.skyscraper: 0.4052, IoU.fireplace: 0.7781, IoU.refrigerator: 0.7527, IoU.grandstand: 0.3742, IoU.path: 0.2991, IoU.stairs: 0.3278, IoU.runway: 0.8671, IoU.case: 0.6391, IoU.pool table: 0.9510, IoU.pillow: 0.6284, IoU.screen door: 0.6263, IoU.stairway: 0.3515, IoU.river: 0.1088, IoU.bridge: 0.6793, IoU.bookcase: 0.3869, IoU.blind: 0.4774, IoU.coffee table: 0.6616, IoU.toilet: 0.8922, IoU.flower: 0.4925, IoU.book: 0.5005, IoU.hill: 0.0628, IoU.bench: 0.5505, IoU.countertop: 0.6516, IoU.stove: 0.8429, IoU.palm: 0.5744, IoU.kitchen island: 0.5816, IoU.computer: 0.7140, IoU.swivel chair: 0.4246, IoU.boat: 0.7214, IoU.bar: 0.5193, IoU.arcade machine: 0.8534, IoU.hovel: 0.0520, IoU.bus: 0.9431, IoU.towel: 0.7139, IoU.light: 0.6148, IoU.truck: 0.3575, IoU.tower: 0.3818, IoU.chandelier: 0.7296, IoU.awning: 0.3477, IoU.streetlight: 0.4297, IoU.booth: 0.3291, IoU.television receiver: 0.7589, IoU.airplane: 0.6605, IoU.dirt track: 0.0729, IoU.apparel: 0.2943, IoU.pole: 0.2746, IoU.land: 0.0406, IoU.bannister: 0.1876, IoU.escalator: 0.2033, IoU.ottoman: 0.5578, IoU.bottle: 0.2683, IoU.buffet: 0.4569, IoU.poster: 0.2206, IoU.stage: 0.1884, IoU.van: 0.5188, IoU.ship: 0.0693, IoU.fountain: 0.2058, IoU.conveyer belt: 0.6377, IoU.canopy: 0.2973, IoU.washer: 0.7123, IoU.plaything: 0.3402, IoU.swimming pool: 0.4077, IoU.stool: 0.4719, IoU.barrel: 0.9104, IoU.basket: 0.4106, IoU.waterfall: 0.6782, IoU.tent: 0.9612, IoU.bag: 0.1675, IoU.minibike: 0.7692, IoU.cradle: 0.8573, IoU.oven: 0.2454, IoU.ball: 0.2955, IoU.food: 0.6276, IoU.step: 0.1579, IoU.tank: 0.6044, IoU.trade name: 0.2728, IoU.microwave: 0.4208, IoU.pot: 0.5122, IoU.animal: 0.5734, IoU.bicycle: 0.5539, IoU.lake: 0.5861, IoU.dishwasher: 0.7891, IoU.screen: 0.5696, IoU.blanket: 0.2750, IoU.sculpture: 0.6831, IoU.hood: 0.8201, IoU.sconce: 0.5481, IoU.vase: 0.5388, IoU.traffic light: 0.4193, IoU.tray: 0.1798, IoU.ashcan: 0.5544, IoU.fan: 0.7090, IoU.pier: 0.3352, IoU.crt screen: 0.0312, IoU.plate: 0.5881, IoU.monitor: 0.0943, IoU.bulletin board: 0.5316, IoU.shower: 0.0195, IoU.radiator: 0.7206, IoU.glass: 0.2211, IoU.clock: 0.5820, IoU.flag: 0.4734, Acc.wall: 0.8824, Acc.building: 0.9101, Acc.sky: 0.9662, Acc.floor: 0.9135, Acc.tree: 0.8827, Acc.ceiling: 0.9113, Acc.road: 0.9157, Acc.bed : 0.9625, Acc.windowpane: 0.8079, Acc.grass: 0.7688, Acc.cabinet: 0.7692, Acc.sidewalk: 0.7956, Acc.person: 0.9285, Acc.earth: 0.6009, Acc.door: 0.6667, Acc.table: 0.8099, Acc.mountain: 0.7248, Acc.plant: 0.6861, Acc.curtain: 0.8702, Acc.chair: 0.7466, Acc.car: 0.9287, Acc.water: 0.7068, Acc.painting: 0.8823, Acc.sofa: 0.8503, Acc.shelf: 0.6025, Acc.house: 0.7066, Acc.sea: 0.9062, Acc.mirror: 0.8203, Acc.rug: 0.7436, Acc.field: 0.5090, Acc.armchair: 0.6597, Acc.seat: 0.8066, Acc.fence: 0.7069, Acc.desk: 0.7142, Acc.rock: 0.7256, Acc.wardrobe: 0.6024, Acc.lamp: 0.8471, Acc.bathtub: 0.8663, Acc.railing: 0.5440, Acc.cushion: 0.7627, Acc.base: 0.5161, Acc.box: 0.3821, Acc.column: 0.5552, Acc.signboard: 0.5460, Acc.chest of drawers: 0.6470, Acc.counter: 0.4072, Acc.sand: 0.4552, Acc.sink: 0.8463, Acc.skyscraper: 0.4699, Acc.fireplace: 0.9009, Acc.refrigerator: 0.8295, Acc.grandstand: 0.6814, Acc.path: 0.4777, Acc.stairs: 0.4129, Acc.runway: 0.9230, Acc.case: 0.7954, Acc.pool table: 0.9757, Acc.pillow: 0.7409, Acc.screen door: 0.6994, Acc.stairway: 0.4136, Acc.river: 0.2046, Acc.bridge: 0.8644, Acc.bookcase: 0.6232, Acc.blind: 0.5196, Acc.coffee table: 0.8549, Acc.toilet: 0.9262, Acc.flower: 0.5991, Acc.book: 0.7176, Acc.hill: 0.1421, Acc.bench: 0.6858, Acc.countertop: 0.7854, Acc.stove: 0.8920, Acc.palm: 0.7504, Acc.kitchen island: 0.8767, Acc.computer: 0.7796, Acc.swivel chair: 0.6790, Acc.boat: 0.8857, Acc.bar: 0.6284, Acc.arcade machine: 0.9067, Acc.hovel: 0.0798, Acc.bus: 0.9649, Acc.towel: 0.8044, Acc.light: 0.7198, Acc.truck: 0.5726, Acc.tower: 0.6455, Acc.chandelier: 0.8662, Acc.awning: 0.4426, Acc.streetlight: 0.6283, Acc.booth: 0.6843, Acc.television receiver: 0.8410, Acc.airplane: 0.7368, Acc.dirt track: 0.5419, Acc.apparel: 0.4704, Acc.pole: 0.4473, Acc.land: 0.0860, Acc.bannister: 0.3250, Acc.escalator: 0.2121, Acc.ottoman: 0.7375, Acc.bottle: 0.3338, Acc.buffet: 0.5409, Acc.poster: 0.3146, Acc.stage: 0.3396, Acc.van: 0.6767, Acc.ship: 0.1059, Acc.fountain: 0.2180, Acc.conveyer belt: 0.9554, Acc.canopy: 0.4088, Acc.washer: 0.7385, Acc.plaything: 0.4583, Acc.swimming pool: 0.4449, Acc.stool: 0.7000, Acc.barrel: 0.9729, Acc.basket: 0.5422, Acc.waterfall: 0.8906, Acc.tent: 0.9817, Acc.bag: 0.2035, Acc.minibike: 0.9158, Acc.cradle: 0.9745, Acc.oven: 0.6760, Acc.ball: 0.3216, Acc.food: 0.8099, Acc.step: 0.2108, Acc.tank: 0.6613, Acc.trade name: 0.3378, Acc.microwave: 0.4562, Acc.pot: 0.5876, Acc.animal: 0.5850, Acc.bicycle: 0.7824, Acc.lake: 0.6348, Acc.dishwasher: 0.8416, Acc.screen: 0.8440, Acc.blanket: 0.3456, Acc.sculpture: 0.8779, Acc.hood: 0.9077, Acc.sconce: 0.6723, Acc.vase: 0.6692, Acc.traffic light: 0.6733, Acc.tray: 0.3077, Acc.ashcan: 0.6830, Acc.fan: 0.8480, Acc.pier: 0.4366, Acc.crt screen: 0.0994, Acc.plate: 0.7246, Acc.monitor: 0.1261, Acc.bulletin board: 0.8051, Acc.shower: 0.2429, Acc.radiator: 0.7949, Acc.glass: 0.2386, Acc.clock: 0.6930, Acc.flag: 0.5066 2023-11-12 17:54:47,232 - mmseg - INFO - Iter [138050/160000] lr: 1.372e-05, eta: 3:02:45, time: 0.861, data_time: 0.395, memory: 41146, decode.loss_cls: 0.1300, decode.loss_mask: 0.4121, decode.loss_dice: 0.6252, decode.d0.loss_cls: 1.0832, decode.d0.loss_mask: 0.4413, decode.d0.loss_dice: 0.6779, decode.d1.loss_cls: 0.1767, decode.d1.loss_mask: 0.4264, decode.d1.loss_dice: 0.6521, decode.d2.loss_cls: 0.1583, decode.d2.loss_mask: 0.4160, decode.d2.loss_dice: 0.6389, decode.d3.loss_cls: 0.1450, decode.d3.loss_mask: 0.4135, decode.d3.loss_dice: 0.6269, decode.d4.loss_cls: 0.1411, decode.d4.loss_mask: 0.4136, decode.d4.loss_dice: 0.6256, decode.d5.loss_cls: 0.1375, decode.d5.loss_mask: 0.4120, decode.d5.loss_dice: 0.6249, decode.d6.loss_cls: 0.1348, decode.d6.loss_mask: 0.4123, decode.d6.loss_dice: 0.6240, decode.d7.loss_cls: 0.1328, decode.d7.loss_mask: 0.4124, decode.d7.loss_dice: 0.6220, decode.d8.loss_cls: 0.1319, decode.d8.loss_mask: 0.4125, decode.d8.loss_dice: 0.6247, loss: 12.8857, grad_norm: 48.5441 2023-11-12 17:55:11,307 - mmseg - INFO - Iter [138100/160000] lr: 1.369e-05, eta: 3:02:20, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1542, decode.loss_mask: 0.4278, decode.loss_dice: 0.6235, decode.d0.loss_cls: 1.1338, decode.d0.loss_mask: 0.4554, decode.d0.loss_dice: 0.6780, decode.d1.loss_cls: 0.2201, decode.d1.loss_mask: 0.4399, decode.d1.loss_dice: 0.6497, decode.d2.loss_cls: 0.1851, decode.d2.loss_mask: 0.4350, decode.d2.loss_dice: 0.6398, decode.d3.loss_cls: 0.1741, decode.d3.loss_mask: 0.4291, decode.d3.loss_dice: 0.6289, decode.d4.loss_cls: 0.1670, decode.d4.loss_mask: 0.4278, decode.d4.loss_dice: 0.6285, decode.d5.loss_cls: 0.1616, decode.d5.loss_mask: 0.4293, decode.d5.loss_dice: 0.6289, decode.d6.loss_cls: 0.1586, decode.d6.loss_mask: 0.4302, decode.d6.loss_dice: 0.6211, decode.d7.loss_cls: 0.1547, decode.d7.loss_mask: 0.4291, decode.d7.loss_dice: 0.6250, decode.d8.loss_cls: 0.1540, decode.d8.loss_mask: 0.4285, decode.d8.loss_dice: 0.6246, loss: 13.3431, grad_norm: 47.9301 2023-11-12 17:55:37,280 - mmseg - INFO - Iter [138150/160000] lr: 1.366e-05, eta: 3:01:55, time: 0.519, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1459, decode.loss_mask: 0.4242, decode.loss_dice: 0.6271, decode.d0.loss_cls: 1.0828, decode.d0.loss_mask: 0.4556, decode.d0.loss_dice: 0.6752, decode.d1.loss_cls: 0.1989, decode.d1.loss_mask: 0.4354, decode.d1.loss_dice: 0.6545, decode.d2.loss_cls: 0.1659, decode.d2.loss_mask: 0.4283, decode.d2.loss_dice: 0.6453, decode.d3.loss_cls: 0.1540, decode.d3.loss_mask: 0.4267, decode.d3.loss_dice: 0.6310, decode.d4.loss_cls: 0.1489, decode.d4.loss_mask: 0.4257, decode.d4.loss_dice: 0.6309, decode.d5.loss_cls: 0.1491, decode.d5.loss_mask: 0.4245, decode.d5.loss_dice: 0.6298, decode.d6.loss_cls: 0.1530, decode.d6.loss_mask: 0.4231, decode.d6.loss_dice: 0.6264, decode.d7.loss_cls: 0.1469, decode.d7.loss_mask: 0.4225, decode.d7.loss_dice: 0.6256, decode.d8.loss_cls: 0.1486, decode.d8.loss_mask: 0.4231, decode.d8.loss_dice: 0.6284, loss: 13.1573, grad_norm: 48.8021 2023-11-12 17:56:01,124 - mmseg - INFO - Iter [138200/160000] lr: 1.363e-05, eta: 3:01:30, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1328, decode.loss_mask: 0.3958, decode.loss_dice: 0.6104, decode.d0.loss_cls: 1.0845, decode.d0.loss_mask: 0.4220, decode.d0.loss_dice: 0.6638, decode.d1.loss_cls: 0.1819, decode.d1.loss_mask: 0.4065, decode.d1.loss_dice: 0.6361, decode.d2.loss_cls: 0.1637, decode.d2.loss_mask: 0.4000, decode.d2.loss_dice: 0.6232, decode.d3.loss_cls: 0.1474, decode.d3.loss_mask: 0.3979, decode.d3.loss_dice: 0.6156, decode.d4.loss_cls: 0.1406, decode.d4.loss_mask: 0.3968, decode.d4.loss_dice: 0.6126, decode.d5.loss_cls: 0.1357, decode.d5.loss_mask: 0.3957, decode.d5.loss_dice: 0.6114, decode.d6.loss_cls: 0.1345, decode.d6.loss_mask: 0.3960, decode.d6.loss_dice: 0.6100, decode.d7.loss_cls: 0.1309, decode.d7.loss_mask: 0.3963, decode.d7.loss_dice: 0.6090, decode.d8.loss_cls: 0.1297, decode.d8.loss_mask: 0.3962, decode.d8.loss_dice: 0.6083, loss: 12.5854, grad_norm: 42.0924 2023-11-12 17:56:24,974 - mmseg - INFO - Iter [138250/160000] lr: 1.359e-05, eta: 3:01:05, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1512, decode.loss_mask: 0.4119, decode.loss_dice: 0.6256, decode.d0.loss_cls: 1.0999, decode.d0.loss_mask: 0.4377, decode.d0.loss_dice: 0.6663, decode.d1.loss_cls: 0.2049, decode.d1.loss_mask: 0.4205, decode.d1.loss_dice: 0.6476, decode.d2.loss_cls: 0.1823, decode.d2.loss_mask: 0.4150, decode.d2.loss_dice: 0.6341, decode.d3.loss_cls: 0.1667, decode.d3.loss_mask: 0.4136, decode.d3.loss_dice: 0.6316, decode.d4.loss_cls: 0.1606, decode.d4.loss_mask: 0.4139, decode.d4.loss_dice: 0.6299, decode.d5.loss_cls: 0.1507, decode.d5.loss_mask: 0.4111, decode.d5.loss_dice: 0.6255, decode.d6.loss_cls: 0.1532, decode.d6.loss_mask: 0.4106, decode.d6.loss_dice: 0.6258, decode.d7.loss_cls: 0.1507, decode.d7.loss_mask: 0.4116, decode.d7.loss_dice: 0.6267, decode.d8.loss_cls: 0.1515, decode.d8.loss_mask: 0.4101, decode.d8.loss_dice: 0.6251, loss: 13.0658, grad_norm: 48.6388 2023-11-12 17:56:48,794 - mmseg - INFO - Iter [138300/160000] lr: 1.356e-05, eta: 3:00:40, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1424, decode.loss_mask: 0.3989, decode.loss_dice: 0.6139, decode.d0.loss_cls: 1.0750, decode.d0.loss_mask: 0.4275, decode.d0.loss_dice: 0.6665, decode.d1.loss_cls: 0.1892, decode.d1.loss_mask: 0.4096, decode.d1.loss_dice: 0.6439, decode.d2.loss_cls: 0.1659, decode.d2.loss_mask: 0.4030, decode.d2.loss_dice: 0.6268, decode.d3.loss_cls: 0.1521, decode.d3.loss_mask: 0.4004, decode.d3.loss_dice: 0.6180, decode.d4.loss_cls: 0.1447, decode.d4.loss_mask: 0.3996, decode.d4.loss_dice: 0.6162, decode.d5.loss_cls: 0.1481, decode.d5.loss_mask: 0.3980, decode.d5.loss_dice: 0.6138, decode.d6.loss_cls: 0.1418, decode.d6.loss_mask: 0.3981, decode.d6.loss_dice: 0.6142, decode.d7.loss_cls: 0.1369, decode.d7.loss_mask: 0.3986, decode.d7.loss_dice: 0.6124, decode.d8.loss_cls: 0.1388, decode.d8.loss_mask: 0.3979, decode.d8.loss_dice: 0.6182, loss: 12.7104, grad_norm: 41.4453 2023-11-12 17:57:12,358 - mmseg - INFO - Iter [138350/160000] lr: 1.353e-05, eta: 3:00:15, time: 0.473, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1417, decode.loss_mask: 0.4055, decode.loss_dice: 0.6404, decode.d0.loss_cls: 1.1143, decode.d0.loss_mask: 0.4347, decode.d0.loss_dice: 0.6900, decode.d1.loss_cls: 0.1966, decode.d1.loss_mask: 0.4195, decode.d1.loss_dice: 0.6678, decode.d2.loss_cls: 0.1648, decode.d2.loss_mask: 0.4134, decode.d2.loss_dice: 0.6552, decode.d3.loss_cls: 0.1559, decode.d3.loss_mask: 0.4091, decode.d3.loss_dice: 0.6471, decode.d4.loss_cls: 0.1491, decode.d4.loss_mask: 0.4076, decode.d4.loss_dice: 0.6451, decode.d5.loss_cls: 0.1438, decode.d5.loss_mask: 0.4087, decode.d5.loss_dice: 0.6475, decode.d6.loss_cls: 0.1428, decode.d6.loss_mask: 0.4069, decode.d6.loss_dice: 0.6387, decode.d7.loss_cls: 0.1405, decode.d7.loss_mask: 0.4059, decode.d7.loss_dice: 0.6426, decode.d8.loss_cls: 0.1375, decode.d8.loss_mask: 0.4066, decode.d8.loss_dice: 0.6441, loss: 13.1232, grad_norm: 45.2653 2023-11-12 17:57:36,140 - mmseg - INFO - Iter [138400/160000] lr: 1.350e-05, eta: 2:59:50, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1410, decode.loss_mask: 0.4049, decode.loss_dice: 0.6282, decode.d0.loss_cls: 1.0914, decode.d0.loss_mask: 0.4321, decode.d0.loss_dice: 0.6793, decode.d1.loss_cls: 0.1925, decode.d1.loss_mask: 0.4140, decode.d1.loss_dice: 0.6552, decode.d2.loss_cls: 0.1656, decode.d2.loss_mask: 0.4079, decode.d2.loss_dice: 0.6379, decode.d3.loss_cls: 0.1549, decode.d3.loss_mask: 0.4058, decode.d3.loss_dice: 0.6302, decode.d4.loss_cls: 0.1475, decode.d4.loss_mask: 0.4064, decode.d4.loss_dice: 0.6302, decode.d5.loss_cls: 0.1438, decode.d5.loss_mask: 0.4065, decode.d5.loss_dice: 0.6324, decode.d6.loss_cls: 0.1398, decode.d6.loss_mask: 0.4049, decode.d6.loss_dice: 0.6258, decode.d7.loss_cls: 0.1413, decode.d7.loss_mask: 0.4046, decode.d7.loss_dice: 0.6271, decode.d8.loss_cls: 0.1390, decode.d8.loss_mask: 0.4055, decode.d8.loss_dice: 0.6274, loss: 12.9230, grad_norm: 42.5635 2023-11-12 17:57:59,894 - mmseg - INFO - Iter [138450/160000] lr: 1.347e-05, eta: 2:59:24, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1329, decode.loss_mask: 0.4012, decode.loss_dice: 0.6126, decode.d0.loss_cls: 1.0784, decode.d0.loss_mask: 0.4360, decode.d0.loss_dice: 0.6731, decode.d1.loss_cls: 0.1927, decode.d1.loss_mask: 0.4115, decode.d1.loss_dice: 0.6414, decode.d2.loss_cls: 0.1586, decode.d2.loss_mask: 0.4066, decode.d2.loss_dice: 0.6225, decode.d3.loss_cls: 0.1489, decode.d3.loss_mask: 0.4038, decode.d3.loss_dice: 0.6192, decode.d4.loss_cls: 0.1404, decode.d4.loss_mask: 0.4032, decode.d4.loss_dice: 0.6165, decode.d5.loss_cls: 0.1407, decode.d5.loss_mask: 0.4021, decode.d5.loss_dice: 0.6125, decode.d6.loss_cls: 0.1393, decode.d6.loss_mask: 0.4021, decode.d6.loss_dice: 0.6131, decode.d7.loss_cls: 0.1328, decode.d7.loss_mask: 0.4010, decode.d7.loss_dice: 0.6124, decode.d8.loss_cls: 0.1335, decode.d8.loss_mask: 0.4012, decode.d8.loss_dice: 0.6116, loss: 12.7021, grad_norm: 44.8619 2023-11-12 17:58:23,576 - mmseg - INFO - Iter [138500/160000] lr: 1.344e-05, eta: 2:58:59, time: 0.474, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1422, decode.loss_mask: 0.4068, decode.loss_dice: 0.6124, decode.d0.loss_cls: 1.0874, decode.d0.loss_mask: 0.4358, decode.d0.loss_dice: 0.6667, decode.d1.loss_cls: 0.2040, decode.d1.loss_mask: 0.4152, decode.d1.loss_dice: 0.6423, decode.d2.loss_cls: 0.1732, decode.d2.loss_mask: 0.4117, decode.d2.loss_dice: 0.6213, decode.d3.loss_cls: 0.1569, decode.d3.loss_mask: 0.4081, decode.d3.loss_dice: 0.6176, decode.d4.loss_cls: 0.1499, decode.d4.loss_mask: 0.4071, decode.d4.loss_dice: 0.6166, decode.d5.loss_cls: 0.1493, decode.d5.loss_mask: 0.4059, decode.d5.loss_dice: 0.6149, decode.d6.loss_cls: 0.1421, decode.d6.loss_mask: 0.4055, decode.d6.loss_dice: 0.6122, decode.d7.loss_cls: 0.1425, decode.d7.loss_mask: 0.4055, decode.d7.loss_dice: 0.6149, decode.d8.loss_cls: 0.1414, decode.d8.loss_mask: 0.4058, decode.d8.loss_dice: 0.6143, loss: 12.8296, grad_norm: 45.4361 2023-11-12 17:58:47,374 - mmseg - INFO - Iter [138550/160000] lr: 1.341e-05, eta: 2:58:34, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1353, decode.loss_mask: 0.3873, decode.loss_dice: 0.6045, decode.d0.loss_cls: 1.1082, decode.d0.loss_mask: 0.4182, decode.d0.loss_dice: 0.6506, decode.d1.loss_cls: 0.1956, decode.d1.loss_mask: 0.3979, decode.d1.loss_dice: 0.6253, decode.d2.loss_cls: 0.1675, decode.d2.loss_mask: 0.3913, decode.d2.loss_dice: 0.6145, decode.d3.loss_cls: 0.1500, decode.d3.loss_mask: 0.3903, decode.d3.loss_dice: 0.6055, decode.d4.loss_cls: 0.1452, decode.d4.loss_mask: 0.3885, decode.d4.loss_dice: 0.6043, decode.d5.loss_cls: 0.1420, decode.d5.loss_mask: 0.3892, decode.d5.loss_dice: 0.6037, decode.d6.loss_cls: 0.1379, decode.d6.loss_mask: 0.3889, decode.d6.loss_dice: 0.6028, decode.d7.loss_cls: 0.1345, decode.d7.loss_mask: 0.3885, decode.d7.loss_dice: 0.6037, decode.d8.loss_cls: 0.1361, decode.d8.loss_mask: 0.3880, decode.d8.loss_dice: 0.6031, loss: 12.4984, grad_norm: 42.9070 2023-11-12 17:59:11,264 - mmseg - INFO - Iter [138600/160000] lr: 1.338e-05, eta: 2:58:09, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1468, decode.loss_mask: 0.4078, decode.loss_dice: 0.6284, decode.d0.loss_cls: 1.0865, decode.d0.loss_mask: 0.4369, decode.d0.loss_dice: 0.6799, decode.d1.loss_cls: 0.2032, decode.d1.loss_mask: 0.4204, decode.d1.loss_dice: 0.6547, decode.d2.loss_cls: 0.1701, decode.d2.loss_mask: 0.4123, decode.d2.loss_dice: 0.6394, decode.d3.loss_cls: 0.1651, decode.d3.loss_mask: 0.4099, decode.d3.loss_dice: 0.6322, decode.d4.loss_cls: 0.1604, decode.d4.loss_mask: 0.4098, decode.d4.loss_dice: 0.6310, decode.d5.loss_cls: 0.1513, decode.d5.loss_mask: 0.4097, decode.d5.loss_dice: 0.6300, decode.d6.loss_cls: 0.1487, decode.d6.loss_mask: 0.4097, decode.d6.loss_dice: 0.6293, decode.d7.loss_cls: 0.1462, decode.d7.loss_mask: 0.4081, decode.d7.loss_dice: 0.6254, decode.d8.loss_cls: 0.1438, decode.d8.loss_mask: 0.4085, decode.d8.loss_dice: 0.6290, loss: 13.0343, grad_norm: 45.5019 2023-11-12 17:59:35,083 - mmseg - INFO - Iter [138650/160000] lr: 1.334e-05, eta: 2:57:44, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1445, decode.loss_mask: 0.3950, decode.loss_dice: 0.6053, decode.d0.loss_cls: 1.0843, decode.d0.loss_mask: 0.4246, decode.d0.loss_dice: 0.6573, decode.d1.loss_cls: 0.2018, decode.d1.loss_mask: 0.4074, decode.d1.loss_dice: 0.6294, decode.d2.loss_cls: 0.1680, decode.d2.loss_mask: 0.3996, decode.d2.loss_dice: 0.6185, decode.d3.loss_cls: 0.1571, decode.d3.loss_mask: 0.3967, decode.d3.loss_dice: 0.6087, decode.d4.loss_cls: 0.1523, decode.d4.loss_mask: 0.3971, decode.d4.loss_dice: 0.6086, decode.d5.loss_cls: 0.1533, decode.d5.loss_mask: 0.3960, decode.d5.loss_dice: 0.6064, decode.d6.loss_cls: 0.1480, decode.d6.loss_mask: 0.3945, decode.d6.loss_dice: 0.6049, decode.d7.loss_cls: 0.1430, decode.d7.loss_mask: 0.3946, decode.d7.loss_dice: 0.6039, decode.d8.loss_cls: 0.1485, decode.d8.loss_mask: 0.3936, decode.d8.loss_dice: 0.6047, loss: 12.6472, grad_norm: 44.8654 2023-11-12 17:59:58,652 - mmseg - INFO - Iter [138700/160000] lr: 1.331e-05, eta: 2:57:19, time: 0.471, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1546, decode.loss_mask: 0.4183, decode.loss_dice: 0.6217, decode.d0.loss_cls: 1.0948, decode.d0.loss_mask: 0.4460, decode.d0.loss_dice: 0.6762, decode.d1.loss_cls: 0.2010, decode.d1.loss_mask: 0.4296, decode.d1.loss_dice: 0.6483, decode.d2.loss_cls: 0.1750, decode.d2.loss_mask: 0.4250, decode.d2.loss_dice: 0.6373, decode.d3.loss_cls: 0.1606, decode.d3.loss_mask: 0.4208, decode.d3.loss_dice: 0.6253, decode.d4.loss_cls: 0.1566, decode.d4.loss_mask: 0.4198, decode.d4.loss_dice: 0.6275, decode.d5.loss_cls: 0.1531, decode.d5.loss_mask: 0.4196, decode.d5.loss_dice: 0.6236, decode.d6.loss_cls: 0.1559, decode.d6.loss_mask: 0.4193, decode.d6.loss_dice: 0.6238, decode.d7.loss_cls: 0.1522, decode.d7.loss_mask: 0.4203, decode.d7.loss_dice: 0.6238, decode.d8.loss_cls: 0.1535, decode.d8.loss_mask: 0.4183, decode.d8.loss_dice: 0.6245, loss: 13.1263, grad_norm: 52.6581 2023-11-12 18:00:22,597 - mmseg - INFO - Iter [138750/160000] lr: 1.328e-05, eta: 2:56:53, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1457, decode.loss_mask: 0.4063, decode.loss_dice: 0.6360, decode.d0.loss_cls: 1.1002, decode.d0.loss_mask: 0.4396, decode.d0.loss_dice: 0.6878, decode.d1.loss_cls: 0.2123, decode.d1.loss_mask: 0.4197, decode.d1.loss_dice: 0.6620, decode.d2.loss_cls: 0.1793, decode.d2.loss_mask: 0.4096, decode.d2.loss_dice: 0.6424, decode.d3.loss_cls: 0.1613, decode.d3.loss_mask: 0.4094, decode.d3.loss_dice: 0.6372, decode.d4.loss_cls: 0.1574, decode.d4.loss_mask: 0.4085, decode.d4.loss_dice: 0.6372, decode.d5.loss_cls: 0.1540, decode.d5.loss_mask: 0.4080, decode.d5.loss_dice: 0.6397, decode.d6.loss_cls: 0.1454, decode.d6.loss_mask: 0.4078, decode.d6.loss_dice: 0.6361, decode.d7.loss_cls: 0.1478, decode.d7.loss_mask: 0.4066, decode.d7.loss_dice: 0.6327, decode.d8.loss_cls: 0.1461, decode.d8.loss_mask: 0.4060, decode.d8.loss_dice: 0.6373, loss: 13.1195, grad_norm: 44.4019 2023-11-12 18:00:46,271 - mmseg - INFO - Iter [138800/160000] lr: 1.325e-05, eta: 2:56:28, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1455, decode.loss_mask: 0.3965, decode.loss_dice: 0.6146, decode.d0.loss_cls: 1.1112, decode.d0.loss_mask: 0.4263, decode.d0.loss_dice: 0.6742, decode.d1.loss_cls: 0.2032, decode.d1.loss_mask: 0.4084, decode.d1.loss_dice: 0.6462, decode.d2.loss_cls: 0.1736, decode.d2.loss_mask: 0.4035, decode.d2.loss_dice: 0.6298, decode.d3.loss_cls: 0.1635, decode.d3.loss_mask: 0.3992, decode.d3.loss_dice: 0.6186, decode.d4.loss_cls: 0.1533, decode.d4.loss_mask: 0.3985, decode.d4.loss_dice: 0.6198, decode.d5.loss_cls: 0.1485, decode.d5.loss_mask: 0.3979, decode.d5.loss_dice: 0.6169, decode.d6.loss_cls: 0.1455, decode.d6.loss_mask: 0.3982, decode.d6.loss_dice: 0.6201, decode.d7.loss_cls: 0.1430, decode.d7.loss_mask: 0.3973, decode.d7.loss_dice: 0.6179, decode.d8.loss_cls: 0.1438, decode.d8.loss_mask: 0.3960, decode.d8.loss_dice: 0.6180, loss: 12.8292, grad_norm: 47.0298 2023-11-12 18:01:09,885 - mmseg - INFO - Iter [138850/160000] lr: 1.322e-05, eta: 2:56:03, time: 0.472, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1503, decode.loss_mask: 0.4055, decode.loss_dice: 0.6291, decode.d0.loss_cls: 1.1035, decode.d0.loss_mask: 0.4395, decode.d0.loss_dice: 0.6827, decode.d1.loss_cls: 0.2075, decode.d1.loss_mask: 0.4203, decode.d1.loss_dice: 0.6619, decode.d2.loss_cls: 0.1770, decode.d2.loss_mask: 0.4127, decode.d2.loss_dice: 0.6441, decode.d3.loss_cls: 0.1671, decode.d3.loss_mask: 0.4064, decode.d3.loss_dice: 0.6332, decode.d4.loss_cls: 0.1607, decode.d4.loss_mask: 0.4069, decode.d4.loss_dice: 0.6324, decode.d5.loss_cls: 0.1533, decode.d5.loss_mask: 0.4072, decode.d5.loss_dice: 0.6314, decode.d6.loss_cls: 0.1553, decode.d6.loss_mask: 0.4066, decode.d6.loss_dice: 0.6298, decode.d7.loss_cls: 0.1497, decode.d7.loss_mask: 0.4059, decode.d7.loss_dice: 0.6297, decode.d8.loss_cls: 0.1467, decode.d8.loss_mask: 0.4067, decode.d8.loss_dice: 0.6318, loss: 13.0950, grad_norm: 45.7217 2023-11-12 18:01:33,424 - mmseg - INFO - Iter [138900/160000] lr: 1.319e-05, eta: 2:55:38, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1439, decode.loss_mask: 0.4052, decode.loss_dice: 0.6353, decode.d0.loss_cls: 1.1053, decode.d0.loss_mask: 0.4365, decode.d0.loss_dice: 0.6900, decode.d1.loss_cls: 0.2014, decode.d1.loss_mask: 0.4185, decode.d1.loss_dice: 0.6617, decode.d2.loss_cls: 0.1694, decode.d2.loss_mask: 0.4127, decode.d2.loss_dice: 0.6523, decode.d3.loss_cls: 0.1583, decode.d3.loss_mask: 0.4082, decode.d3.loss_dice: 0.6375, decode.d4.loss_cls: 0.1504, decode.d4.loss_mask: 0.4071, decode.d4.loss_dice: 0.6368, decode.d5.loss_cls: 0.1466, decode.d5.loss_mask: 0.4079, decode.d5.loss_dice: 0.6362, decode.d6.loss_cls: 0.1521, decode.d6.loss_mask: 0.4051, decode.d6.loss_dice: 0.6356, decode.d7.loss_cls: 0.1463, decode.d7.loss_mask: 0.4055, decode.d7.loss_dice: 0.6316, decode.d8.loss_cls: 0.1438, decode.d8.loss_mask: 0.4050, decode.d8.loss_dice: 0.6347, loss: 13.0809, grad_norm: 43.2924 2023-11-12 18:01:59,372 - mmseg - INFO - Iter [138950/160000] lr: 1.316e-05, eta: 2:55:13, time: 0.519, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1427, decode.loss_mask: 0.4031, decode.loss_dice: 0.6293, decode.d0.loss_cls: 1.1168, decode.d0.loss_mask: 0.4308, decode.d0.loss_dice: 0.6692, decode.d1.loss_cls: 0.2045, decode.d1.loss_mask: 0.4114, decode.d1.loss_dice: 0.6570, decode.d2.loss_cls: 0.1842, decode.d2.loss_mask: 0.4056, decode.d2.loss_dice: 0.6371, decode.d3.loss_cls: 0.1636, decode.d3.loss_mask: 0.4034, decode.d3.loss_dice: 0.6284, decode.d4.loss_cls: 0.1578, decode.d4.loss_mask: 0.4026, decode.d4.loss_dice: 0.6279, decode.d5.loss_cls: 0.1575, decode.d5.loss_mask: 0.4019, decode.d5.loss_dice: 0.6288, decode.d6.loss_cls: 0.1460, decode.d6.loss_mask: 0.4030, decode.d6.loss_dice: 0.6243, decode.d7.loss_cls: 0.1461, decode.d7.loss_mask: 0.4014, decode.d7.loss_dice: 0.6251, decode.d8.loss_cls: 0.1439, decode.d8.loss_mask: 0.4032, decode.d8.loss_dice: 0.6294, loss: 12.9857, grad_norm: 41.8106 2023-11-12 18:02:22,969 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 18:02:22,969 - mmseg - INFO - Iter [139000/160000] lr: 1.313e-05, eta: 2:54:48, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1346, decode.loss_mask: 0.3958, decode.loss_dice: 0.6160, decode.d0.loss_cls: 1.1101, decode.d0.loss_mask: 0.4200, decode.d0.loss_dice: 0.6645, decode.d1.loss_cls: 0.1895, decode.d1.loss_mask: 0.4076, decode.d1.loss_dice: 0.6405, decode.d2.loss_cls: 0.1640, decode.d2.loss_mask: 0.4023, decode.d2.loss_dice: 0.6282, decode.d3.loss_cls: 0.1517, decode.d3.loss_mask: 0.3995, decode.d3.loss_dice: 0.6152, decode.d4.loss_cls: 0.1454, decode.d4.loss_mask: 0.3988, decode.d4.loss_dice: 0.6168, decode.d5.loss_cls: 0.1464, decode.d5.loss_mask: 0.3973, decode.d5.loss_dice: 0.6174, decode.d6.loss_cls: 0.1375, decode.d6.loss_mask: 0.3985, decode.d6.loss_dice: 0.6156, decode.d7.loss_cls: 0.1348, decode.d7.loss_mask: 0.3963, decode.d7.loss_dice: 0.6162, decode.d8.loss_cls: 0.1326, decode.d8.loss_mask: 0.3965, decode.d8.loss_dice: 0.6161, loss: 12.7056, grad_norm: 46.3148 2023-11-12 18:02:46,659 - mmseg - INFO - Iter [139050/160000] lr: 1.309e-05, eta: 2:54:23, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1441, decode.loss_mask: 0.3892, decode.loss_dice: 0.6147, decode.d0.loss_cls: 1.0820, decode.d0.loss_mask: 0.4237, decode.d0.loss_dice: 0.6633, decode.d1.loss_cls: 0.2071, decode.d1.loss_mask: 0.4027, decode.d1.loss_dice: 0.6348, decode.d2.loss_cls: 0.1738, decode.d2.loss_mask: 0.3980, decode.d2.loss_dice: 0.6238, decode.d3.loss_cls: 0.1596, decode.d3.loss_mask: 0.3957, decode.d3.loss_dice: 0.6145, decode.d4.loss_cls: 0.1557, decode.d4.loss_mask: 0.3921, decode.d4.loss_dice: 0.6131, decode.d5.loss_cls: 0.1528, decode.d5.loss_mask: 0.3906, decode.d5.loss_dice: 0.6126, decode.d6.loss_cls: 0.1499, decode.d6.loss_mask: 0.3908, decode.d6.loss_dice: 0.6140, decode.d7.loss_cls: 0.1479, decode.d7.loss_mask: 0.3901, decode.d7.loss_dice: 0.6114, decode.d8.loss_cls: 0.1479, decode.d8.loss_mask: 0.3886, decode.d8.loss_dice: 0.6146, loss: 12.6989, grad_norm: 49.2243 2023-11-12 18:03:10,340 - mmseg - INFO - Iter [139100/160000] lr: 1.306e-05, eta: 2:53:58, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1348, decode.loss_mask: 0.4115, decode.loss_dice: 0.6322, decode.d0.loss_cls: 1.0981, decode.d0.loss_mask: 0.4424, decode.d0.loss_dice: 0.6838, decode.d1.loss_cls: 0.1973, decode.d1.loss_mask: 0.4227, decode.d1.loss_dice: 0.6551, decode.d2.loss_cls: 0.1616, decode.d2.loss_mask: 0.4185, decode.d2.loss_dice: 0.6468, decode.d3.loss_cls: 0.1532, decode.d3.loss_mask: 0.4135, decode.d3.loss_dice: 0.6370, decode.d4.loss_cls: 0.1445, decode.d4.loss_mask: 0.4123, decode.d4.loss_dice: 0.6361, decode.d5.loss_cls: 0.1394, decode.d5.loss_mask: 0.4124, decode.d5.loss_dice: 0.6330, decode.d6.loss_cls: 0.1403, decode.d6.loss_mask: 0.4129, decode.d6.loss_dice: 0.6336, decode.d7.loss_cls: 0.1357, decode.d7.loss_mask: 0.4127, decode.d7.loss_dice: 0.6330, decode.d8.loss_cls: 0.1315, decode.d8.loss_mask: 0.4113, decode.d8.loss_dice: 0.6334, loss: 13.0306, grad_norm: 48.2872 2023-11-12 18:03:34,255 - mmseg - INFO - Iter [139150/160000] lr: 1.303e-05, eta: 2:53:32, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1564, decode.loss_mask: 0.4275, decode.loss_dice: 0.6481, decode.d0.loss_cls: 1.0928, decode.d0.loss_mask: 0.4586, decode.d0.loss_dice: 0.6995, decode.d1.loss_cls: 0.2119, decode.d1.loss_mask: 0.4397, decode.d1.loss_dice: 0.6745, decode.d2.loss_cls: 0.1874, decode.d2.loss_mask: 0.4320, decode.d2.loss_dice: 0.6610, decode.d3.loss_cls: 0.1737, decode.d3.loss_mask: 0.4292, decode.d3.loss_dice: 0.6494, decode.d4.loss_cls: 0.1649, decode.d4.loss_mask: 0.4283, decode.d4.loss_dice: 0.6498, decode.d5.loss_cls: 0.1651, decode.d5.loss_mask: 0.4275, decode.d5.loss_dice: 0.6495, decode.d6.loss_cls: 0.1632, decode.d6.loss_mask: 0.4283, decode.d6.loss_dice: 0.6477, decode.d7.loss_cls: 0.1612, decode.d7.loss_mask: 0.4274, decode.d7.loss_dice: 0.6462, decode.d8.loss_cls: 0.1607, decode.d8.loss_mask: 0.4270, decode.d8.loss_dice: 0.6505, loss: 13.5389, grad_norm: 42.4412 2023-11-12 18:03:58,036 - mmseg - INFO - Iter [139200/160000] lr: 1.300e-05, eta: 2:53:07, time: 0.476, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1473, decode.loss_mask: 0.3958, decode.loss_dice: 0.6134, decode.d0.loss_cls: 1.1462, decode.d0.loss_mask: 0.4282, decode.d0.loss_dice: 0.6693, decode.d1.loss_cls: 0.2061, decode.d1.loss_mask: 0.4070, decode.d1.loss_dice: 0.6421, decode.d2.loss_cls: 0.1749, decode.d2.loss_mask: 0.4012, decode.d2.loss_dice: 0.6297, decode.d3.loss_cls: 0.1594, decode.d3.loss_mask: 0.3981, decode.d3.loss_dice: 0.6243, decode.d4.loss_cls: 0.1553, decode.d4.loss_mask: 0.4000, decode.d4.loss_dice: 0.6200, decode.d5.loss_cls: 0.1501, decode.d5.loss_mask: 0.3983, decode.d5.loss_dice: 0.6202, decode.d6.loss_cls: 0.1497, decode.d6.loss_mask: 0.3972, decode.d6.loss_dice: 0.6179, decode.d7.loss_cls: 0.1496, decode.d7.loss_mask: 0.3963, decode.d7.loss_dice: 0.6196, decode.d8.loss_cls: 0.1452, decode.d8.loss_mask: 0.3967, decode.d8.loss_dice: 0.6159, loss: 12.8750, grad_norm: 46.3113 2023-11-12 18:04:21,731 - mmseg - INFO - Iter [139250/160000] lr: 1.297e-05, eta: 2:52:42, time: 0.474, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1284, decode.loss_mask: 0.4051, decode.loss_dice: 0.6208, decode.d0.loss_cls: 1.0907, decode.d0.loss_mask: 0.4338, decode.d0.loss_dice: 0.6704, decode.d1.loss_cls: 0.1773, decode.d1.loss_mask: 0.4143, decode.d1.loss_dice: 0.6486, decode.d2.loss_cls: 0.1591, decode.d2.loss_mask: 0.4117, decode.d2.loss_dice: 0.6348, decode.d3.loss_cls: 0.1427, decode.d3.loss_mask: 0.4068, decode.d3.loss_dice: 0.6248, decode.d4.loss_cls: 0.1399, decode.d4.loss_mask: 0.4073, decode.d4.loss_dice: 0.6234, decode.d5.loss_cls: 0.1328, decode.d5.loss_mask: 0.4057, decode.d5.loss_dice: 0.6229, decode.d6.loss_cls: 0.1327, decode.d6.loss_mask: 0.4055, decode.d6.loss_dice: 0.6209, decode.d7.loss_cls: 0.1306, decode.d7.loss_mask: 0.4056, decode.d7.loss_dice: 0.6211, decode.d8.loss_cls: 0.1302, decode.d8.loss_mask: 0.4053, decode.d8.loss_dice: 0.6231, loss: 12.7765, grad_norm: 46.5834 2023-11-12 18:04:45,359 - mmseg - INFO - Iter [139300/160000] lr: 1.294e-05, eta: 2:52:17, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1371, decode.loss_mask: 0.4039, decode.loss_dice: 0.6029, decode.d0.loss_cls: 1.0795, decode.d0.loss_mask: 0.4343, decode.d0.loss_dice: 0.6503, decode.d1.loss_cls: 0.1877, decode.d1.loss_mask: 0.4152, decode.d1.loss_dice: 0.6289, decode.d2.loss_cls: 0.1615, decode.d2.loss_mask: 0.4091, decode.d2.loss_dice: 0.6197, decode.d3.loss_cls: 0.1544, decode.d3.loss_mask: 0.4069, decode.d3.loss_dice: 0.6061, decode.d4.loss_cls: 0.1491, decode.d4.loss_mask: 0.4054, decode.d4.loss_dice: 0.6065, decode.d5.loss_cls: 0.1449, decode.d5.loss_mask: 0.4049, decode.d5.loss_dice: 0.6063, decode.d6.loss_cls: 0.1416, decode.d6.loss_mask: 0.4041, decode.d6.loss_dice: 0.6017, decode.d7.loss_cls: 0.1421, decode.d7.loss_mask: 0.4033, decode.d7.loss_dice: 0.6032, decode.d8.loss_cls: 0.1374, decode.d8.loss_mask: 0.4031, decode.d8.loss_dice: 0.6062, loss: 12.6573, grad_norm: 44.8823 2023-11-12 18:05:09,089 - mmseg - INFO - Iter [139350/160000] lr: 1.291e-05, eta: 2:51:52, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1496, decode.loss_mask: 0.4190, decode.loss_dice: 0.6326, decode.d0.loss_cls: 1.1022, decode.d0.loss_mask: 0.4485, decode.d0.loss_dice: 0.6888, decode.d1.loss_cls: 0.2051, decode.d1.loss_mask: 0.4286, decode.d1.loss_dice: 0.6627, decode.d2.loss_cls: 0.1767, decode.d2.loss_mask: 0.4234, decode.d2.loss_dice: 0.6531, decode.d3.loss_cls: 0.1611, decode.d3.loss_mask: 0.4212, decode.d3.loss_dice: 0.6447, decode.d4.loss_cls: 0.1609, decode.d4.loss_mask: 0.4199, decode.d4.loss_dice: 0.6386, decode.d5.loss_cls: 0.1569, decode.d5.loss_mask: 0.4190, decode.d5.loss_dice: 0.6389, decode.d6.loss_cls: 0.1573, decode.d6.loss_mask: 0.4189, decode.d6.loss_dice: 0.6324, decode.d7.loss_cls: 0.1530, decode.d7.loss_mask: 0.4197, decode.d7.loss_dice: 0.6355, decode.d8.loss_cls: 0.1499, decode.d8.loss_mask: 0.4196, decode.d8.loss_dice: 0.6350, loss: 13.2726, grad_norm: 42.1221 2023-11-12 18:05:32,748 - mmseg - INFO - Iter [139400/160000] lr: 1.288e-05, eta: 2:51:27, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1430, decode.loss_mask: 0.3881, decode.loss_dice: 0.6260, decode.d0.loss_cls: 1.0838, decode.d0.loss_mask: 0.4170, decode.d0.loss_dice: 0.6926, decode.d1.loss_cls: 0.1994, decode.d1.loss_mask: 0.3981, decode.d1.loss_dice: 0.6581, decode.d2.loss_cls: 0.1735, decode.d2.loss_mask: 0.3933, decode.d2.loss_dice: 0.6464, decode.d3.loss_cls: 0.1561, decode.d3.loss_mask: 0.3912, decode.d3.loss_dice: 0.6338, decode.d4.loss_cls: 0.1469, decode.d4.loss_mask: 0.3908, decode.d4.loss_dice: 0.6351, decode.d5.loss_cls: 0.1461, decode.d5.loss_mask: 0.3882, decode.d5.loss_dice: 0.6340, decode.d6.loss_cls: 0.1461, decode.d6.loss_mask: 0.3884, decode.d6.loss_dice: 0.6274, decode.d7.loss_cls: 0.1412, decode.d7.loss_mask: 0.3873, decode.d7.loss_dice: 0.6260, decode.d8.loss_cls: 0.1396, decode.d8.loss_mask: 0.3881, decode.d8.loss_dice: 0.6257, loss: 12.8115, grad_norm: 43.1326 2023-11-12 18:05:56,341 - mmseg - INFO - Iter [139450/160000] lr: 1.284e-05, eta: 2:51:01, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1310, decode.loss_mask: 0.4018, decode.loss_dice: 0.6130, decode.d0.loss_cls: 1.0621, decode.d0.loss_mask: 0.4317, decode.d0.loss_dice: 0.6645, decode.d1.loss_cls: 0.1937, decode.d1.loss_mask: 0.4142, decode.d1.loss_dice: 0.6415, decode.d2.loss_cls: 0.1638, decode.d2.loss_mask: 0.4061, decode.d2.loss_dice: 0.6304, decode.d3.loss_cls: 0.1489, decode.d3.loss_mask: 0.4050, decode.d3.loss_dice: 0.6187, decode.d4.loss_cls: 0.1459, decode.d4.loss_mask: 0.4031, decode.d4.loss_dice: 0.6191, decode.d5.loss_cls: 0.1381, decode.d5.loss_mask: 0.4029, decode.d5.loss_dice: 0.6182, decode.d6.loss_cls: 0.1348, decode.d6.loss_mask: 0.4028, decode.d6.loss_dice: 0.6129, decode.d7.loss_cls: 0.1354, decode.d7.loss_mask: 0.4011, decode.d7.loss_dice: 0.6127, decode.d8.loss_cls: 0.1334, decode.d8.loss_mask: 0.4015, decode.d8.loss_dice: 0.6145, loss: 12.7028, grad_norm: 44.8463 2023-11-12 18:06:20,158 - mmseg - INFO - Iter [139500/160000] lr: 1.281e-05, eta: 2:50:36, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1392, decode.loss_mask: 0.4077, decode.loss_dice: 0.6350, decode.d0.loss_cls: 1.0865, decode.d0.loss_mask: 0.4338, decode.d0.loss_dice: 0.6840, decode.d1.loss_cls: 0.2002, decode.d1.loss_mask: 0.4169, decode.d1.loss_dice: 0.6635, decode.d2.loss_cls: 0.1753, decode.d2.loss_mask: 0.4120, decode.d2.loss_dice: 0.6465, decode.d3.loss_cls: 0.1601, decode.d3.loss_mask: 0.4087, decode.d3.loss_dice: 0.6386, decode.d4.loss_cls: 0.1498, decode.d4.loss_mask: 0.4083, decode.d4.loss_dice: 0.6398, decode.d5.loss_cls: 0.1476, decode.d5.loss_mask: 0.4094, decode.d5.loss_dice: 0.6379, decode.d6.loss_cls: 0.1487, decode.d6.loss_mask: 0.4085, decode.d6.loss_dice: 0.6339, decode.d7.loss_cls: 0.1440, decode.d7.loss_mask: 0.4076, decode.d7.loss_dice: 0.6323, decode.d8.loss_cls: 0.1422, decode.d8.loss_mask: 0.4096, decode.d8.loss_dice: 0.6356, loss: 13.0630, grad_norm: 46.1983 2023-11-12 18:06:44,057 - mmseg - INFO - Iter [139550/160000] lr: 1.278e-05, eta: 2:50:11, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1456, decode.loss_mask: 0.4018, decode.loss_dice: 0.6260, decode.d0.loss_cls: 1.0933, decode.d0.loss_mask: 0.4326, decode.d0.loss_dice: 0.6706, decode.d1.loss_cls: 0.2051, decode.d1.loss_mask: 0.4145, decode.d1.loss_dice: 0.6435, decode.d2.loss_cls: 0.1740, decode.d2.loss_mask: 0.4072, decode.d2.loss_dice: 0.6367, decode.d3.loss_cls: 0.1627, decode.d3.loss_mask: 0.4058, decode.d3.loss_dice: 0.6284, decode.d4.loss_cls: 0.1573, decode.d4.loss_mask: 0.4050, decode.d4.loss_dice: 0.6257, decode.d5.loss_cls: 0.1499, decode.d5.loss_mask: 0.4047, decode.d5.loss_dice: 0.6249, decode.d6.loss_cls: 0.1486, decode.d6.loss_mask: 0.4033, decode.d6.loss_dice: 0.6243, decode.d7.loss_cls: 0.1489, decode.d7.loss_mask: 0.4033, decode.d7.loss_dice: 0.6242, decode.d8.loss_cls: 0.1483, decode.d8.loss_mask: 0.4027, decode.d8.loss_dice: 0.6264, loss: 12.9454, grad_norm: 50.1225 2023-11-12 18:07:07,880 - mmseg - INFO - Iter [139600/160000] lr: 1.275e-05, eta: 2:49:46, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1351, decode.loss_mask: 0.3978, decode.loss_dice: 0.6148, decode.d0.loss_cls: 1.1064, decode.d0.loss_mask: 0.4291, decode.d0.loss_dice: 0.6674, decode.d1.loss_cls: 0.1970, decode.d1.loss_mask: 0.4096, decode.d1.loss_dice: 0.6456, decode.d2.loss_cls: 0.1629, decode.d2.loss_mask: 0.4056, decode.d2.loss_dice: 0.6346, decode.d3.loss_cls: 0.1496, decode.d3.loss_mask: 0.4025, decode.d3.loss_dice: 0.6218, decode.d4.loss_cls: 0.1437, decode.d4.loss_mask: 0.4015, decode.d4.loss_dice: 0.6250, decode.d5.loss_cls: 0.1437, decode.d5.loss_mask: 0.4014, decode.d5.loss_dice: 0.6236, decode.d6.loss_cls: 0.1379, decode.d6.loss_mask: 0.4014, decode.d6.loss_dice: 0.6207, decode.d7.loss_cls: 0.1340, decode.d7.loss_mask: 0.4004, decode.d7.loss_dice: 0.6191, decode.d8.loss_cls: 0.1354, decode.d8.loss_mask: 0.3998, decode.d8.loss_dice: 0.6192, loss: 12.7870, grad_norm: 46.1710 2023-11-12 18:07:31,426 - mmseg - INFO - Iter [139650/160000] lr: 1.272e-05, eta: 2:49:21, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1199, decode.loss_mask: 0.4302, decode.loss_dice: 0.6026, decode.d0.loss_cls: 1.0585, decode.d0.loss_mask: 0.4547, decode.d0.loss_dice: 0.6473, decode.d1.loss_cls: 0.1728, decode.d1.loss_mask: 0.4417, decode.d1.loss_dice: 0.6226, decode.d2.loss_cls: 0.1456, decode.d2.loss_mask: 0.4361, decode.d2.loss_dice: 0.6135, decode.d3.loss_cls: 0.1340, decode.d3.loss_mask: 0.4338, decode.d3.loss_dice: 0.6039, decode.d4.loss_cls: 0.1324, decode.d4.loss_mask: 0.4340, decode.d4.loss_dice: 0.6020, decode.d5.loss_cls: 0.1263, decode.d5.loss_mask: 0.4324, decode.d5.loss_dice: 0.6039, decode.d6.loss_cls: 0.1244, decode.d6.loss_mask: 0.4313, decode.d6.loss_dice: 0.6015, decode.d7.loss_cls: 0.1255, decode.d7.loss_mask: 0.4307, decode.d7.loss_dice: 0.6010, decode.d8.loss_cls: 0.1202, decode.d8.loss_mask: 0.4314, decode.d8.loss_dice: 0.6006, loss: 12.7150, grad_norm: 54.2388 2023-11-12 18:07:55,401 - mmseg - INFO - Iter [139700/160000] lr: 1.269e-05, eta: 2:48:56, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1292, decode.loss_mask: 0.3962, decode.loss_dice: 0.6133, decode.d0.loss_cls: 1.1056, decode.d0.loss_mask: 0.4218, decode.d0.loss_dice: 0.6630, decode.d1.loss_cls: 0.1915, decode.d1.loss_mask: 0.4086, decode.d1.loss_dice: 0.6370, decode.d2.loss_cls: 0.1564, decode.d2.loss_mask: 0.4024, decode.d2.loss_dice: 0.6281, decode.d3.loss_cls: 0.1462, decode.d3.loss_mask: 0.3990, decode.d3.loss_dice: 0.6169, decode.d4.loss_cls: 0.1396, decode.d4.loss_mask: 0.3994, decode.d4.loss_dice: 0.6168, decode.d5.loss_cls: 0.1370, decode.d5.loss_mask: 0.3985, decode.d5.loss_dice: 0.6168, decode.d6.loss_cls: 0.1357, decode.d6.loss_mask: 0.3973, decode.d6.loss_dice: 0.6145, decode.d7.loss_cls: 0.1313, decode.d7.loss_mask: 0.3974, decode.d7.loss_dice: 0.6173, decode.d8.loss_cls: 0.1300, decode.d8.loss_mask: 0.3968, decode.d8.loss_dice: 0.6164, loss: 12.6599, grad_norm: 43.7755 2023-11-12 18:08:20,525 - mmseg - INFO - Iter [139750/160000] lr: 1.266e-05, eta: 2:48:31, time: 0.502, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1479, decode.loss_mask: 0.4009, decode.loss_dice: 0.6267, decode.d0.loss_cls: 1.1121, decode.d0.loss_mask: 0.4287, decode.d0.loss_dice: 0.6782, decode.d1.loss_cls: 0.2143, decode.d1.loss_mask: 0.4107, decode.d1.loss_dice: 0.6546, decode.d2.loss_cls: 0.1770, decode.d2.loss_mask: 0.4068, decode.d2.loss_dice: 0.6425, decode.d3.loss_cls: 0.1598, decode.d3.loss_mask: 0.4049, decode.d3.loss_dice: 0.6310, decode.d4.loss_cls: 0.1529, decode.d4.loss_mask: 0.4030, decode.d4.loss_dice: 0.6314, decode.d5.loss_cls: 0.1492, decode.d5.loss_mask: 0.4015, decode.d5.loss_dice: 0.6327, decode.d6.loss_cls: 0.1447, decode.d6.loss_mask: 0.4016, decode.d6.loss_dice: 0.6315, decode.d7.loss_cls: 0.1437, decode.d7.loss_mask: 0.4003, decode.d7.loss_dice: 0.6306, decode.d8.loss_cls: 0.1435, decode.d8.loss_mask: 0.4018, decode.d8.loss_dice: 0.6284, loss: 12.9929, grad_norm: 41.9940 2023-11-12 18:08:44,345 - mmseg - INFO - Iter [139800/160000] lr: 1.263e-05, eta: 2:48:06, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1492, decode.loss_mask: 0.4142, decode.loss_dice: 0.6379, decode.d0.loss_cls: 1.0967, decode.d0.loss_mask: 0.4478, decode.d0.loss_dice: 0.6896, decode.d1.loss_cls: 0.1974, decode.d1.loss_mask: 0.4269, decode.d1.loss_dice: 0.6643, decode.d2.loss_cls: 0.1758, decode.d2.loss_mask: 0.4194, decode.d2.loss_dice: 0.6525, decode.d3.loss_cls: 0.1599, decode.d3.loss_mask: 0.4189, decode.d3.loss_dice: 0.6424, decode.d4.loss_cls: 0.1556, decode.d4.loss_mask: 0.4168, decode.d4.loss_dice: 0.6421, decode.d5.loss_cls: 0.1506, decode.d5.loss_mask: 0.4165, decode.d5.loss_dice: 0.6442, decode.d6.loss_cls: 0.1518, decode.d6.loss_mask: 0.4151, decode.d6.loss_dice: 0.6398, decode.d7.loss_cls: 0.1505, decode.d7.loss_mask: 0.4142, decode.d7.loss_dice: 0.6412, decode.d8.loss_cls: 0.1467, decode.d8.loss_mask: 0.4142, decode.d8.loss_dice: 0.6408, loss: 13.2328, grad_norm: 47.7382 2023-11-12 18:09:07,952 - mmseg - INFO - Iter [139850/160000] lr: 1.259e-05, eta: 2:47:41, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1390, decode.loss_mask: 0.4153, decode.loss_dice: 0.6269, decode.d0.loss_cls: 1.0947, decode.d0.loss_mask: 0.4496, decode.d0.loss_dice: 0.6785, decode.d1.loss_cls: 0.2054, decode.d1.loss_mask: 0.4276, decode.d1.loss_dice: 0.6520, decode.d2.loss_cls: 0.1715, decode.d2.loss_mask: 0.4205, decode.d2.loss_dice: 0.6413, decode.d3.loss_cls: 0.1581, decode.d3.loss_mask: 0.4183, decode.d3.loss_dice: 0.6317, decode.d4.loss_cls: 0.1520, decode.d4.loss_mask: 0.4181, decode.d4.loss_dice: 0.6298, decode.d5.loss_cls: 0.1490, decode.d5.loss_mask: 0.4176, decode.d5.loss_dice: 0.6320, decode.d6.loss_cls: 0.1462, decode.d6.loss_mask: 0.4179, decode.d6.loss_dice: 0.6323, decode.d7.loss_cls: 0.1405, decode.d7.loss_mask: 0.4162, decode.d7.loss_dice: 0.6268, decode.d8.loss_cls: 0.1409, decode.d8.loss_mask: 0.4164, decode.d8.loss_dice: 0.6281, loss: 13.0941, grad_norm: 46.7044 2023-11-12 18:09:31,630 - mmseg - INFO - Iter [139900/160000] lr: 1.256e-05, eta: 2:47:15, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1296, decode.loss_mask: 0.4072, decode.loss_dice: 0.6155, decode.d0.loss_cls: 1.1130, decode.d0.loss_mask: 0.4372, decode.d0.loss_dice: 0.6683, decode.d1.loss_cls: 0.1896, decode.d1.loss_mask: 0.4172, decode.d1.loss_dice: 0.6470, decode.d2.loss_cls: 0.1582, decode.d2.loss_mask: 0.4129, decode.d2.loss_dice: 0.6372, decode.d3.loss_cls: 0.1482, decode.d3.loss_mask: 0.4093, decode.d3.loss_dice: 0.6268, decode.d4.loss_cls: 0.1449, decode.d4.loss_mask: 0.4088, decode.d4.loss_dice: 0.6221, decode.d5.loss_cls: 0.1403, decode.d5.loss_mask: 0.4079, decode.d5.loss_dice: 0.6229, decode.d6.loss_cls: 0.1369, decode.d6.loss_mask: 0.4073, decode.d6.loss_dice: 0.6238, decode.d7.loss_cls: 0.1327, decode.d7.loss_mask: 0.4072, decode.d7.loss_dice: 0.6173, decode.d8.loss_cls: 0.1299, decode.d8.loss_mask: 0.4077, decode.d8.loss_dice: 0.6203, loss: 12.8471, grad_norm: 44.4360 2023-11-12 18:09:55,546 - mmseg - INFO - Iter [139950/160000] lr: 1.253e-05, eta: 2:46:50, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1393, decode.loss_mask: 0.4075, decode.loss_dice: 0.6157, decode.d0.loss_cls: 1.1037, decode.d0.loss_mask: 0.4362, decode.d0.loss_dice: 0.6600, decode.d1.loss_cls: 0.1943, decode.d1.loss_mask: 0.4220, decode.d1.loss_dice: 0.6453, decode.d2.loss_cls: 0.1663, decode.d2.loss_mask: 0.4152, decode.d2.loss_dice: 0.6291, decode.d3.loss_cls: 0.1579, decode.d3.loss_mask: 0.4120, decode.d3.loss_dice: 0.6225, decode.d4.loss_cls: 0.1521, decode.d4.loss_mask: 0.4104, decode.d4.loss_dice: 0.6202, decode.d5.loss_cls: 0.1481, decode.d5.loss_mask: 0.4095, decode.d5.loss_dice: 0.6193, decode.d6.loss_cls: 0.1432, decode.d6.loss_mask: 0.4095, decode.d6.loss_dice: 0.6156, decode.d7.loss_cls: 0.1427, decode.d7.loss_mask: 0.4077, decode.d7.loss_dice: 0.6158, decode.d8.loss_cls: 0.1406, decode.d8.loss_mask: 0.4081, decode.d8.loss_dice: 0.6171, loss: 12.8867, grad_norm: 44.3251 2023-11-12 18:10:19,304 - mmseg - INFO - Saving checkpoint at 140000 iterations 2023-11-12 18:10:23,253 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 18:10:23,253 - mmseg - INFO - Iter [140000/160000] lr: 1.250e-05, eta: 2:46:26, time: 0.554, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1403, decode.loss_mask: 0.4159, decode.loss_dice: 0.6179, decode.d0.loss_cls: 1.1022, decode.d0.loss_mask: 0.4459, decode.d0.loss_dice: 0.6728, decode.d1.loss_cls: 0.1946, decode.d1.loss_mask: 0.4288, decode.d1.loss_dice: 0.6444, decode.d2.loss_cls: 0.1689, decode.d2.loss_mask: 0.4228, decode.d2.loss_dice: 0.6358, decode.d3.loss_cls: 0.1579, decode.d3.loss_mask: 0.4179, decode.d3.loss_dice: 0.6229, decode.d4.loss_cls: 0.1522, decode.d4.loss_mask: 0.4176, decode.d4.loss_dice: 0.6204, decode.d5.loss_cls: 0.1503, decode.d5.loss_mask: 0.4154, decode.d5.loss_dice: 0.6187, decode.d6.loss_cls: 0.1505, decode.d6.loss_mask: 0.4147, decode.d6.loss_dice: 0.6180, decode.d7.loss_cls: 0.1434, decode.d7.loss_mask: 0.4158, decode.d7.loss_dice: 0.6164, decode.d8.loss_cls: 0.1445, decode.d8.loss_mask: 0.4146, decode.d8.loss_dice: 0.6177, loss: 12.9990, grad_norm: 46.5832 2023-11-12 18:10:42,368 - mmseg - INFO - per class results: 2023-11-12 18:10:42,373 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.18 | 88.4 | | building | 83.16 | 91.59 | | sky | 94.31 | 96.98 | | floor | 83.15 | 91.16 | | tree | 74.42 | 87.01 | | ceiling | 83.99 | 89.98 | | road | 85.33 | 91.36 | | bed | 91.02 | 96.09 | | windowpane | 64.02 | 80.02 | | grass | 65.05 | 74.74 | | cabinet | 64.4 | 75.36 | | sidewalk | 68.93 | 79.94 | | person | 84.61 | 93.13 | | earth | 37.11 | 57.61 | | door | 52.78 | 69.9 | | table | 67.86 | 81.64 | | mountain | 60.96 | 74.05 | | plant | 52.37 | 69.13 | | curtain | 78.09 | 87.38 | | chair | 63.43 | 75.18 | | car | 85.82 | 91.55 | | water | 58.43 | 73.22 | | painting | 75.52 | 88.5 | | sofa | 69.36 | 81.44 | | shelf | 42.84 | 59.93 | | house | 42.14 | 69.42 | | sea | 68.68 | 90.29 | | mirror | 71.39 | 82.04 | | rug | 62.42 | 74.17 | | field | 36.79 | 51.96 | | armchair | 49.16 | 71.61 | | seat | 57.99 | 80.11 | | fence | 50.6 | 67.85 | | desk | 55.12 | 72.61 | | rock | 47.14 | 72.52 | | wardrobe | 49.97 | 64.96 | | lamp | 72.45 | 83.37 | | bathtub | 82.1 | 86.88 | | railing | 34.74 | 53.51 | | cushion | 65.34 | 78.66 | | base | 32.71 | 52.46 | | box | 28.01 | 38.61 | | column | 48.08 | 60.52 | | signboard | 36.85 | 56.95 | | chest of drawers | 34.99 | 65.59 | | counter | 26.27 | 30.67 | | sand | 33.89 | 45.61 | | sink | 78.69 | 83.34 | | skyscraper | 39.7 | 47.06 | | fireplace | 74.97 | 93.63 | | refrigerator | 75.19 | 82.97 | | grandstand | 38.67 | 71.92 | | path | 31.76 | 47.26 | | stairs | 33.37 | 44.1 | | runway | 69.25 | 92.38 | | case | 63.58 | 81.96 | | pool table | 95.24 | 97.56 | | pillow | 61.5 | 73.94 | | screen door | 77.6 | 91.62 | | stairway | 35.46 | 41.18 | | river | 11.07 | 19.69 | | bridge | 76.05 | 89.5 | | bookcase | 38.88 | 69.16 | | blind | 46.79 | 51.26 | | coffee table | 68.92 | 85.33 | | toilet | 88.95 | 92.16 | | flower | 51.56 | 64.13 | | book | 49.82 | 72.29 | | hill | 7.88 | 14.12 | | bench | 59.87 | 71.41 | | countertop | 65.75 | 82.64 | | stove | 82.42 | 89.45 | | palm | 56.02 | 75.48 | | kitchen island | 61.57 | 88.39 | | computer | 69.95 | 77.69 | | swivel chair | 35.58 | 50.77 | | boat | 43.94 | 50.01 | | bar | 48.18 | 64.09 | | arcade machine | 87.89 | 94.48 | | hovel | 26.06 | 41.35 | | bus | 93.88 | 96.55 | | towel | 67.17 | 80.78 | | light | 60.21 | 69.61 | | truck | 31.9 | 59.52 | | tower | 37.47 | 63.62 | | chandelier | 71.68 | 87.68 | | awning | 32.21 | 43.06 | | streetlight | 42.23 | 61.85 | | booth | 38.47 | 61.91 | | television receiver | 79.13 | 86.51 | | airplane | 66.03 | 75.38 | | dirt track | 16.99 | 39.85 | | apparel | 27.56 | 48.16 | | pole | 31.65 | 51.31 | | land | 5.62 | 9.31 | | bannister | 19.97 | 33.34 | | escalator | 20.46 | 21.34 | | ottoman | 54.48 | 73.43 | | bottle | 26.02 | 31.36 | | buffet | 52.73 | 59.17 | | poster | 18.93 | 25.8 | | stage | 17.49 | 32.13 | | van | 49.96 | 69.68 | | ship | 4.87 | 10.59 | | fountain | 21.34 | 21.83 | | conveyer belt | 59.8 | 94.31 | | canopy | 29.71 | 40.12 | | washer | 71.19 | 73.92 | | plaything | 28.26 | 39.43 | | swimming pool | 42.28 | 46.23 | | stool | 44.51 | 69.32 | | barrel | 90.13 | 98.04 | | basket | 36.78 | 46.93 | | waterfall | 55.94 | 88.1 | | tent | 94.92 | 98.12 | | bag | 15.73 | 19.13 | | minibike | 76.67 | 92.02 | | cradle | 85.34 | 97.4 | | oven | 24.12 | 67.84 | | ball | 42.11 | 47.73 | | food | 59.82 | 75.18 | | step | 15.36 | 23.28 | | tank | 64.3 | 66.2 | | trade name | 26.17 | 30.31 | | microwave | 41.68 | 45.96 | | pot | 48.13 | 53.95 | | animal | 55.51 | 56.71 | | bicycle | 55.3 | 74.75 | | lake | 58.55 | 63.58 | | dishwasher | 78.43 | 84.3 | | screen | 63.2 | 89.88 | | blanket | 27.58 | 39.43 | | sculpture | 69.12 | 88.71 | | hood | 84.12 | 93.73 | | sconce | 55.04 | 64.1 | | vase | 51.07 | 68.17 | | traffic light | 45.94 | 65.4 | | tray | 14.27 | 24.36 | | ashcan | 50.52 | 63.51 | | fan | 71.59 | 85.1 | | pier | 29.65 | 44.95 | | crt screen | 2.74 | 8.35 | | plate | 59.81 | 74.47 | | monitor | 9.5 | 12.74 | | bulletin board | 51.49 | 67.7 | | shower | 3.6 | 23.38 | | radiator | 73.48 | 83.24 | | glass | 21.66 | 23.6 | | clock | 57.68 | 66.69 | | flag | 46.17 | 51.1 | +---------------------+-------+-------+ 2023-11-12 18:10:42,373 - mmseg - INFO - Summary: 2023-11-12 18:10:42,373 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.99 | 52.55 | 65.56 | +-------+-------+-------+ 2023-11-12 18:10:42,374 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 18:10:42,374 - mmseg - INFO - Iter(val) [250] aAcc: 0.8399, mIoU: 0.5255, mAcc: 0.6556, IoU.wall: 0.7918, IoU.building: 0.8316, IoU.sky: 0.9431, IoU.floor: 0.8315, IoU.tree: 0.7442, IoU.ceiling: 0.8399, IoU.road: 0.8533, IoU.bed : 0.9102, IoU.windowpane: 0.6402, IoU.grass: 0.6505, IoU.cabinet: 0.6440, IoU.sidewalk: 0.6893, IoU.person: 0.8461, IoU.earth: 0.3711, IoU.door: 0.5278, IoU.table: 0.6786, IoU.mountain: 0.6096, IoU.plant: 0.5237, IoU.curtain: 0.7809, IoU.chair: 0.6343, IoU.car: 0.8582, IoU.water: 0.5843, IoU.painting: 0.7552, IoU.sofa: 0.6936, IoU.shelf: 0.4284, IoU.house: 0.4214, IoU.sea: 0.6868, IoU.mirror: 0.7139, IoU.rug: 0.6242, IoU.field: 0.3679, IoU.armchair: 0.4916, IoU.seat: 0.5799, IoU.fence: 0.5060, IoU.desk: 0.5512, IoU.rock: 0.4714, IoU.wardrobe: 0.4997, IoU.lamp: 0.7245, IoU.bathtub: 0.8210, IoU.railing: 0.3474, IoU.cushion: 0.6534, IoU.base: 0.3271, IoU.box: 0.2801, IoU.column: 0.4808, IoU.signboard: 0.3685, IoU.chest of drawers: 0.3499, IoU.counter: 0.2627, IoU.sand: 0.3389, IoU.sink: 0.7869, IoU.skyscraper: 0.3970, IoU.fireplace: 0.7497, IoU.refrigerator: 0.7519, IoU.grandstand: 0.3867, IoU.path: 0.3176, IoU.stairs: 0.3337, IoU.runway: 0.6925, IoU.case: 0.6358, IoU.pool table: 0.9524, IoU.pillow: 0.6150, IoU.screen door: 0.7760, IoU.stairway: 0.3546, IoU.river: 0.1107, IoU.bridge: 0.7605, IoU.bookcase: 0.3888, IoU.blind: 0.4679, IoU.coffee table: 0.6892, IoU.toilet: 0.8895, IoU.flower: 0.5156, IoU.book: 0.4982, IoU.hill: 0.0788, IoU.bench: 0.5987, IoU.countertop: 0.6575, IoU.stove: 0.8242, IoU.palm: 0.5602, IoU.kitchen island: 0.6157, IoU.computer: 0.6995, IoU.swivel chair: 0.3558, IoU.boat: 0.4394, IoU.bar: 0.4818, IoU.arcade machine: 0.8789, IoU.hovel: 0.2606, IoU.bus: 0.9388, IoU.towel: 0.6717, IoU.light: 0.6021, IoU.truck: 0.3190, IoU.tower: 0.3747, IoU.chandelier: 0.7168, IoU.awning: 0.3221, IoU.streetlight: 0.4223, IoU.booth: 0.3847, IoU.television receiver: 0.7913, IoU.airplane: 0.6603, IoU.dirt track: 0.1699, IoU.apparel: 0.2756, IoU.pole: 0.3165, IoU.land: 0.0562, IoU.bannister: 0.1997, IoU.escalator: 0.2046, IoU.ottoman: 0.5448, IoU.bottle: 0.2602, IoU.buffet: 0.5273, IoU.poster: 0.1893, IoU.stage: 0.1749, IoU.van: 0.4996, IoU.ship: 0.0487, IoU.fountain: 0.2134, IoU.conveyer belt: 0.5980, IoU.canopy: 0.2971, IoU.washer: 0.7119, IoU.plaything: 0.2826, IoU.swimming pool: 0.4228, IoU.stool: 0.4451, IoU.barrel: 0.9013, IoU.basket: 0.3678, IoU.waterfall: 0.5594, IoU.tent: 0.9492, IoU.bag: 0.1573, IoU.minibike: 0.7667, IoU.cradle: 0.8534, IoU.oven: 0.2412, IoU.ball: 0.4211, IoU.food: 0.5982, IoU.step: 0.1536, IoU.tank: 0.6430, IoU.trade name: 0.2617, IoU.microwave: 0.4168, IoU.pot: 0.4813, IoU.animal: 0.5551, IoU.bicycle: 0.5530, IoU.lake: 0.5855, IoU.dishwasher: 0.7843, IoU.screen: 0.6320, IoU.blanket: 0.2758, IoU.sculpture: 0.6912, IoU.hood: 0.8412, IoU.sconce: 0.5504, IoU.vase: 0.5107, IoU.traffic light: 0.4594, IoU.tray: 0.1427, IoU.ashcan: 0.5052, IoU.fan: 0.7159, IoU.pier: 0.2965, IoU.crt screen: 0.0274, IoU.plate: 0.5981, IoU.monitor: 0.0950, IoU.bulletin board: 0.5149, IoU.shower: 0.0360, IoU.radiator: 0.7348, IoU.glass: 0.2166, IoU.clock: 0.5768, IoU.flag: 0.4617, Acc.wall: 0.8840, Acc.building: 0.9159, Acc.sky: 0.9698, Acc.floor: 0.9116, Acc.tree: 0.8701, Acc.ceiling: 0.8998, Acc.road: 0.9136, Acc.bed : 0.9609, Acc.windowpane: 0.8002, Acc.grass: 0.7474, Acc.cabinet: 0.7536, Acc.sidewalk: 0.7994, Acc.person: 0.9313, Acc.earth: 0.5761, Acc.door: 0.6990, Acc.table: 0.8164, Acc.mountain: 0.7405, Acc.plant: 0.6913, Acc.curtain: 0.8738, Acc.chair: 0.7518, Acc.car: 0.9155, Acc.water: 0.7322, Acc.painting: 0.8850, Acc.sofa: 0.8144, Acc.shelf: 0.5993, Acc.house: 0.6942, Acc.sea: 0.9029, Acc.mirror: 0.8204, Acc.rug: 0.7417, Acc.field: 0.5196, Acc.armchair: 0.7161, Acc.seat: 0.8011, Acc.fence: 0.6785, Acc.desk: 0.7261, Acc.rock: 0.7252, Acc.wardrobe: 0.6496, Acc.lamp: 0.8337, Acc.bathtub: 0.8688, Acc.railing: 0.5351, Acc.cushion: 0.7866, Acc.base: 0.5246, Acc.box: 0.3861, Acc.column: 0.6052, Acc.signboard: 0.5695, Acc.chest of drawers: 0.6559, Acc.counter: 0.3067, Acc.sand: 0.4561, Acc.sink: 0.8334, Acc.skyscraper: 0.4706, Acc.fireplace: 0.9363, Acc.refrigerator: 0.8297, Acc.grandstand: 0.7192, Acc.path: 0.4726, Acc.stairs: 0.4410, Acc.runway: 0.9238, Acc.case: 0.8196, Acc.pool table: 0.9756, Acc.pillow: 0.7394, Acc.screen door: 0.9162, Acc.stairway: 0.4118, Acc.river: 0.1969, Acc.bridge: 0.8950, Acc.bookcase: 0.6916, Acc.blind: 0.5126, Acc.coffee table: 0.8533, Acc.toilet: 0.9216, Acc.flower: 0.6413, Acc.book: 0.7229, Acc.hill: 0.1412, Acc.bench: 0.7141, Acc.countertop: 0.8264, Acc.stove: 0.8945, Acc.palm: 0.7548, Acc.kitchen island: 0.8839, Acc.computer: 0.7769, Acc.swivel chair: 0.5077, Acc.boat: 0.5001, Acc.bar: 0.6409, Acc.arcade machine: 0.9448, Acc.hovel: 0.4135, Acc.bus: 0.9655, Acc.towel: 0.8078, Acc.light: 0.6961, Acc.truck: 0.5952, Acc.tower: 0.6362, Acc.chandelier: 0.8768, Acc.awning: 0.4306, Acc.streetlight: 0.6185, Acc.booth: 0.6191, Acc.television receiver: 0.8651, Acc.airplane: 0.7538, Acc.dirt track: 0.3985, Acc.apparel: 0.4816, Acc.pole: 0.5131, Acc.land: 0.0931, Acc.bannister: 0.3334, Acc.escalator: 0.2134, Acc.ottoman: 0.7343, Acc.bottle: 0.3136, Acc.buffet: 0.5917, Acc.poster: 0.2580, Acc.stage: 0.3213, Acc.van: 0.6968, Acc.ship: 0.1059, Acc.fountain: 0.2183, Acc.conveyer belt: 0.9431, Acc.canopy: 0.4012, Acc.washer: 0.7392, Acc.plaything: 0.3943, Acc.swimming pool: 0.4623, Acc.stool: 0.6932, Acc.barrel: 0.9804, Acc.basket: 0.4693, Acc.waterfall: 0.8810, Acc.tent: 0.9812, Acc.bag: 0.1913, Acc.minibike: 0.9202, Acc.cradle: 0.9740, Acc.oven: 0.6784, Acc.ball: 0.4773, Acc.food: 0.7518, Acc.step: 0.2328, Acc.tank: 0.6620, Acc.trade name: 0.3031, Acc.microwave: 0.4596, Acc.pot: 0.5395, Acc.animal: 0.5671, Acc.bicycle: 0.7475, Acc.lake: 0.6358, Acc.dishwasher: 0.8430, Acc.screen: 0.8988, Acc.blanket: 0.3943, Acc.sculpture: 0.8871, Acc.hood: 0.9373, Acc.sconce: 0.6410, Acc.vase: 0.6817, Acc.traffic light: 0.6540, Acc.tray: 0.2436, Acc.ashcan: 0.6351, Acc.fan: 0.8510, Acc.pier: 0.4495, Acc.crt screen: 0.0835, Acc.plate: 0.7447, Acc.monitor: 0.1274, Acc.bulletin board: 0.6770, Acc.shower: 0.2338, Acc.radiator: 0.8324, Acc.glass: 0.2360, Acc.clock: 0.6669, Acc.flag: 0.5110 2023-11-12 18:11:06,116 - mmseg - INFO - Iter [140050/160000] lr: 1.247e-05, eta: 2:46:03, time: 0.857, data_time: 0.395, memory: 41146, decode.loss_cls: 0.1369, decode.loss_mask: 0.3931, decode.loss_dice: 0.6171, decode.d0.loss_cls: 1.1022, decode.d0.loss_mask: 0.4220, decode.d0.loss_dice: 0.6731, decode.d1.loss_cls: 0.2045, decode.d1.loss_mask: 0.4039, decode.d1.loss_dice: 0.6428, decode.d2.loss_cls: 0.1714, decode.d2.loss_mask: 0.3989, decode.d2.loss_dice: 0.6299, decode.d3.loss_cls: 0.1611, decode.d3.loss_mask: 0.3946, decode.d3.loss_dice: 0.6193, decode.d4.loss_cls: 0.1493, decode.d4.loss_mask: 0.3959, decode.d4.loss_dice: 0.6176, decode.d5.loss_cls: 0.1483, decode.d5.loss_mask: 0.3954, decode.d5.loss_dice: 0.6186, decode.d6.loss_cls: 0.1454, decode.d6.loss_mask: 0.3946, decode.d6.loss_dice: 0.6153, decode.d7.loss_cls: 0.1441, decode.d7.loss_mask: 0.3930, decode.d7.loss_dice: 0.6131, decode.d8.loss_cls: 0.1382, decode.d8.loss_mask: 0.3939, decode.d8.loss_dice: 0.6142, loss: 12.7473, grad_norm: 43.5534 2023-11-12 18:11:29,793 - mmseg - INFO - Iter [140100/160000] lr: 1.244e-05, eta: 2:45:38, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1493, decode.loss_mask: 0.4140, decode.loss_dice: 0.6320, decode.d0.loss_cls: 1.0730, decode.d0.loss_mask: 0.4454, decode.d0.loss_dice: 0.6856, decode.d1.loss_cls: 0.2113, decode.d1.loss_mask: 0.4239, decode.d1.loss_dice: 0.6580, decode.d2.loss_cls: 0.1802, decode.d2.loss_mask: 0.4188, decode.d2.loss_dice: 0.6436, decode.d3.loss_cls: 0.1677, decode.d3.loss_mask: 0.4169, decode.d3.loss_dice: 0.6372, decode.d4.loss_cls: 0.1681, decode.d4.loss_mask: 0.4154, decode.d4.loss_dice: 0.6333, decode.d5.loss_cls: 0.1587, decode.d5.loss_mask: 0.4158, decode.d5.loss_dice: 0.6343, decode.d6.loss_cls: 0.1524, decode.d6.loss_mask: 0.4161, decode.d6.loss_dice: 0.6297, decode.d7.loss_cls: 0.1515, decode.d7.loss_mask: 0.4148, decode.d7.loss_dice: 0.6274, decode.d8.loss_cls: 0.1490, decode.d8.loss_mask: 0.4152, decode.d8.loss_dice: 0.6311, loss: 13.1699, grad_norm: 48.2009 2023-11-12 18:11:53,486 - mmseg - INFO - Iter [140150/160000] lr: 1.241e-05, eta: 2:45:13, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1394, decode.loss_mask: 0.4006, decode.loss_dice: 0.6007, decode.d0.loss_cls: 1.0879, decode.d0.loss_mask: 0.4286, decode.d0.loss_dice: 0.6478, decode.d1.loss_cls: 0.1913, decode.d1.loss_mask: 0.4120, decode.d1.loss_dice: 0.6285, decode.d2.loss_cls: 0.1630, decode.d2.loss_mask: 0.4056, decode.d2.loss_dice: 0.6143, decode.d3.loss_cls: 0.1487, decode.d3.loss_mask: 0.4057, decode.d3.loss_dice: 0.6031, decode.d4.loss_cls: 0.1422, decode.d4.loss_mask: 0.4033, decode.d4.loss_dice: 0.6045, decode.d5.loss_cls: 0.1402, decode.d5.loss_mask: 0.4039, decode.d5.loss_dice: 0.6033, decode.d6.loss_cls: 0.1375, decode.d6.loss_mask: 0.4034, decode.d6.loss_dice: 0.5986, decode.d7.loss_cls: 0.1355, decode.d7.loss_mask: 0.4024, decode.d7.loss_dice: 0.6032, decode.d8.loss_cls: 0.1343, decode.d8.loss_mask: 0.4020, decode.d8.loss_dice: 0.6010, loss: 12.5925, grad_norm: 44.6780 2023-11-12 18:12:19,319 - mmseg - INFO - Iter [140200/160000] lr: 1.238e-05, eta: 2:44:48, time: 0.517, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1448, decode.loss_mask: 0.4113, decode.loss_dice: 0.6090, decode.d0.loss_cls: 1.0958, decode.d0.loss_mask: 0.4436, decode.d0.loss_dice: 0.6627, decode.d1.loss_cls: 0.2039, decode.d1.loss_mask: 0.4285, decode.d1.loss_dice: 0.6363, decode.d2.loss_cls: 0.1713, decode.d2.loss_mask: 0.4193, decode.d2.loss_dice: 0.6244, decode.d3.loss_cls: 0.1638, decode.d3.loss_mask: 0.4138, decode.d3.loss_dice: 0.6133, decode.d4.loss_cls: 0.1618, decode.d4.loss_mask: 0.4123, decode.d4.loss_dice: 0.6133, decode.d5.loss_cls: 0.1515, decode.d5.loss_mask: 0.4120, decode.d5.loss_dice: 0.6143, decode.d6.loss_cls: 0.1488, decode.d6.loss_mask: 0.4107, decode.d6.loss_dice: 0.6078, decode.d7.loss_cls: 0.1496, decode.d7.loss_mask: 0.4101, decode.d7.loss_dice: 0.6080, decode.d8.loss_cls: 0.1443, decode.d8.loss_mask: 0.4110, decode.d8.loss_dice: 0.6129, loss: 12.9105, grad_norm: 46.0787 2023-11-12 18:12:42,820 - mmseg - INFO - Iter [140250/160000] lr: 1.234e-05, eta: 2:44:23, time: 0.470, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1336, decode.loss_mask: 0.4121, decode.loss_dice: 0.6133, decode.d0.loss_cls: 1.1100, decode.d0.loss_mask: 0.4418, decode.d0.loss_dice: 0.6667, decode.d1.loss_cls: 0.2089, decode.d1.loss_mask: 0.4243, decode.d1.loss_dice: 0.6415, decode.d2.loss_cls: 0.1646, decode.d2.loss_mask: 0.4147, decode.d2.loss_dice: 0.6275, decode.d3.loss_cls: 0.1534, decode.d3.loss_mask: 0.4140, decode.d3.loss_dice: 0.6207, decode.d4.loss_cls: 0.1495, decode.d4.loss_mask: 0.4135, decode.d4.loss_dice: 0.6161, decode.d5.loss_cls: 0.1432, decode.d5.loss_mask: 0.4122, decode.d5.loss_dice: 0.6167, decode.d6.loss_cls: 0.1376, decode.d6.loss_mask: 0.4140, decode.d6.loss_dice: 0.6167, decode.d7.loss_cls: 0.1391, decode.d7.loss_mask: 0.4121, decode.d7.loss_dice: 0.6154, decode.d8.loss_cls: 0.1338, decode.d8.loss_mask: 0.4117, decode.d8.loss_dice: 0.6176, loss: 12.8962, grad_norm: 47.5582 2023-11-12 18:13:06,524 - mmseg - INFO - Iter [140300/160000] lr: 1.231e-05, eta: 2:43:58, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1476, decode.loss_mask: 0.4049, decode.loss_dice: 0.6364, decode.d0.loss_cls: 1.0788, decode.d0.loss_mask: 0.4336, decode.d0.loss_dice: 0.6845, decode.d1.loss_cls: 0.2015, decode.d1.loss_mask: 0.4175, decode.d1.loss_dice: 0.6617, decode.d2.loss_cls: 0.1778, decode.d2.loss_mask: 0.4083, decode.d2.loss_dice: 0.6478, decode.d3.loss_cls: 0.1606, decode.d3.loss_mask: 0.4080, decode.d3.loss_dice: 0.6405, decode.d4.loss_cls: 0.1539, decode.d4.loss_mask: 0.4056, decode.d4.loss_dice: 0.6461, decode.d5.loss_cls: 0.1513, decode.d5.loss_mask: 0.4057, decode.d5.loss_dice: 0.6392, decode.d6.loss_cls: 0.1528, decode.d6.loss_mask: 0.4057, decode.d6.loss_dice: 0.6363, decode.d7.loss_cls: 0.1516, decode.d7.loss_mask: 0.4050, decode.d7.loss_dice: 0.6370, decode.d8.loss_cls: 0.1471, decode.d8.loss_mask: 0.4045, decode.d8.loss_dice: 0.6389, loss: 13.0900, grad_norm: 46.6183 2023-11-12 18:13:30,424 - mmseg - INFO - Iter [140350/160000] lr: 1.228e-05, eta: 2:43:33, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1330, decode.loss_mask: 0.3988, decode.loss_dice: 0.6084, decode.d0.loss_cls: 1.0966, decode.d0.loss_mask: 0.4282, decode.d0.loss_dice: 0.6542, decode.d1.loss_cls: 0.1964, decode.d1.loss_mask: 0.4082, decode.d1.loss_dice: 0.6332, decode.d2.loss_cls: 0.1648, decode.d2.loss_mask: 0.4020, decode.d2.loss_dice: 0.6217, decode.d3.loss_cls: 0.1533, decode.d3.loss_mask: 0.3991, decode.d3.loss_dice: 0.6103, decode.d4.loss_cls: 0.1443, decode.d4.loss_mask: 0.3995, decode.d4.loss_dice: 0.6109, decode.d5.loss_cls: 0.1445, decode.d5.loss_mask: 0.3982, decode.d5.loss_dice: 0.6057, decode.d6.loss_cls: 0.1373, decode.d6.loss_mask: 0.3986, decode.d6.loss_dice: 0.6115, decode.d7.loss_cls: 0.1357, decode.d7.loss_mask: 0.3992, decode.d7.loss_dice: 0.6088, decode.d8.loss_cls: 0.1376, decode.d8.loss_mask: 0.3982, decode.d8.loss_dice: 0.6086, loss: 12.6466, grad_norm: 43.9838 2023-11-12 18:13:54,718 - mmseg - INFO - Iter [140400/160000] lr: 1.225e-05, eta: 2:43:08, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1536, decode.loss_mask: 0.4014, decode.loss_dice: 0.6316, decode.d0.loss_cls: 1.1175, decode.d0.loss_mask: 0.4313, decode.d0.loss_dice: 0.6791, decode.d1.loss_cls: 0.2118, decode.d1.loss_mask: 0.4131, decode.d1.loss_dice: 0.6564, decode.d2.loss_cls: 0.1849, decode.d2.loss_mask: 0.4067, decode.d2.loss_dice: 0.6431, decode.d3.loss_cls: 0.1675, decode.d3.loss_mask: 0.4053, decode.d3.loss_dice: 0.6384, decode.d4.loss_cls: 0.1643, decode.d4.loss_mask: 0.4043, decode.d4.loss_dice: 0.6350, decode.d5.loss_cls: 0.1548, decode.d5.loss_mask: 0.4032, decode.d5.loss_dice: 0.6361, decode.d6.loss_cls: 0.1557, decode.d6.loss_mask: 0.4021, decode.d6.loss_dice: 0.6305, decode.d7.loss_cls: 0.1508, decode.d7.loss_mask: 0.4021, decode.d7.loss_dice: 0.6305, decode.d8.loss_cls: 0.1534, decode.d8.loss_mask: 0.4019, decode.d8.loss_dice: 0.6295, loss: 13.0959, grad_norm: 46.8998 2023-11-12 18:14:18,733 - mmseg - INFO - Iter [140450/160000] lr: 1.222e-05, eta: 2:42:43, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1412, decode.loss_mask: 0.4080, decode.loss_dice: 0.6248, decode.d0.loss_cls: 1.1044, decode.d0.loss_mask: 0.4392, decode.d0.loss_dice: 0.6816, decode.d1.loss_cls: 0.2053, decode.d1.loss_mask: 0.4187, decode.d1.loss_dice: 0.6564, decode.d2.loss_cls: 0.1722, decode.d2.loss_mask: 0.4131, decode.d2.loss_dice: 0.6411, decode.d3.loss_cls: 0.1584, decode.d3.loss_mask: 0.4111, decode.d3.loss_dice: 0.6314, decode.d4.loss_cls: 0.1539, decode.d4.loss_mask: 0.4098, decode.d4.loss_dice: 0.6296, decode.d5.loss_cls: 0.1481, decode.d5.loss_mask: 0.4081, decode.d5.loss_dice: 0.6292, decode.d6.loss_cls: 0.1453, decode.d6.loss_mask: 0.4084, decode.d6.loss_dice: 0.6250, decode.d7.loss_cls: 0.1455, decode.d7.loss_mask: 0.4085, decode.d7.loss_dice: 0.6259, decode.d8.loss_cls: 0.1393, decode.d8.loss_mask: 0.4082, decode.d8.loss_dice: 0.6262, loss: 13.0180, grad_norm: 46.7910 2023-11-12 18:14:42,584 - mmseg - INFO - Iter [140500/160000] lr: 1.219e-05, eta: 2:42:17, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1515, decode.loss_mask: 0.3902, decode.loss_dice: 0.6197, decode.d0.loss_cls: 1.1156, decode.d0.loss_mask: 0.4240, decode.d0.loss_dice: 0.6779, decode.d1.loss_cls: 0.2053, decode.d1.loss_mask: 0.4053, decode.d1.loss_dice: 0.6509, decode.d2.loss_cls: 0.1796, decode.d2.loss_mask: 0.3986, decode.d2.loss_dice: 0.6329, decode.d3.loss_cls: 0.1702, decode.d3.loss_mask: 0.3945, decode.d3.loss_dice: 0.6216, decode.d4.loss_cls: 0.1638, decode.d4.loss_mask: 0.3927, decode.d4.loss_dice: 0.6249, decode.d5.loss_cls: 0.1586, decode.d5.loss_mask: 0.3919, decode.d5.loss_dice: 0.6236, decode.d6.loss_cls: 0.1577, decode.d6.loss_mask: 0.3915, decode.d6.loss_dice: 0.6211, decode.d7.loss_cls: 0.1519, decode.d7.loss_mask: 0.3907, decode.d7.loss_dice: 0.6197, decode.d8.loss_cls: 0.1493, decode.d8.loss_mask: 0.3902, decode.d8.loss_dice: 0.6221, loss: 12.8875, grad_norm: 45.1408 2023-11-12 18:15:06,129 - mmseg - INFO - Iter [140550/160000] lr: 1.216e-05, eta: 2:41:52, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1241, decode.loss_mask: 0.3951, decode.loss_dice: 0.6112, decode.d0.loss_cls: 1.0677, decode.d0.loss_mask: 0.4260, decode.d0.loss_dice: 0.6635, decode.d1.loss_cls: 0.1797, decode.d1.loss_mask: 0.4057, decode.d1.loss_dice: 0.6374, decode.d2.loss_cls: 0.1530, decode.d2.loss_mask: 0.4005, decode.d2.loss_dice: 0.6225, decode.d3.loss_cls: 0.1440, decode.d3.loss_mask: 0.3990, decode.d3.loss_dice: 0.6152, decode.d4.loss_cls: 0.1357, decode.d4.loss_mask: 0.3979, decode.d4.loss_dice: 0.6131, decode.d5.loss_cls: 0.1296, decode.d5.loss_mask: 0.3967, decode.d5.loss_dice: 0.6154, decode.d6.loss_cls: 0.1282, decode.d6.loss_mask: 0.3957, decode.d6.loss_dice: 0.6119, decode.d7.loss_cls: 0.1258, decode.d7.loss_mask: 0.3961, decode.d7.loss_dice: 0.6139, decode.d8.loss_cls: 0.1235, decode.d8.loss_mask: 0.3951, decode.d8.loss_dice: 0.6131, loss: 12.5361, grad_norm: 42.3158 2023-11-12 18:15:29,796 - mmseg - INFO - Iter [140600/160000] lr: 1.213e-05, eta: 2:41:27, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1327, decode.loss_mask: 0.3968, decode.loss_dice: 0.6013, decode.d0.loss_cls: 1.0675, decode.d0.loss_mask: 0.4280, decode.d0.loss_dice: 0.6464, decode.d1.loss_cls: 0.1852, decode.d1.loss_mask: 0.4100, decode.d1.loss_dice: 0.6208, decode.d2.loss_cls: 0.1533, decode.d2.loss_mask: 0.4035, decode.d2.loss_dice: 0.6143, decode.d3.loss_cls: 0.1469, decode.d3.loss_mask: 0.3992, decode.d3.loss_dice: 0.6039, decode.d4.loss_cls: 0.1398, decode.d4.loss_mask: 0.3986, decode.d4.loss_dice: 0.6010, decode.d5.loss_cls: 0.1393, decode.d5.loss_mask: 0.3981, decode.d5.loss_dice: 0.6039, decode.d6.loss_cls: 0.1375, decode.d6.loss_mask: 0.3971, decode.d6.loss_dice: 0.6020, decode.d7.loss_cls: 0.1359, decode.d7.loss_mask: 0.3965, decode.d7.loss_dice: 0.5998, decode.d8.loss_cls: 0.1371, decode.d8.loss_mask: 0.3968, decode.d8.loss_dice: 0.6004, loss: 12.4934, grad_norm: 44.1680 2023-11-12 18:15:53,495 - mmseg - INFO - Iter [140650/160000] lr: 1.209e-05, eta: 2:41:02, time: 0.474, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1381, decode.loss_mask: 0.3946, decode.loss_dice: 0.6132, decode.d0.loss_cls: 1.0915, decode.d0.loss_mask: 0.4236, decode.d0.loss_dice: 0.6605, decode.d1.loss_cls: 0.1924, decode.d1.loss_mask: 0.4075, decode.d1.loss_dice: 0.6414, decode.d2.loss_cls: 0.1627, decode.d2.loss_mask: 0.4003, decode.d2.loss_dice: 0.6209, decode.d3.loss_cls: 0.1531, decode.d3.loss_mask: 0.3976, decode.d3.loss_dice: 0.6164, decode.d4.loss_cls: 0.1428, decode.d4.loss_mask: 0.3973, decode.d4.loss_dice: 0.6170, decode.d5.loss_cls: 0.1428, decode.d5.loss_mask: 0.3961, decode.d5.loss_dice: 0.6117, decode.d6.loss_cls: 0.1371, decode.d6.loss_mask: 0.3962, decode.d6.loss_dice: 0.6129, decode.d7.loss_cls: 0.1402, decode.d7.loss_mask: 0.3957, decode.d7.loss_dice: 0.6115, decode.d8.loss_cls: 0.1355, decode.d8.loss_mask: 0.3953, decode.d8.loss_dice: 0.6128, loss: 12.6586, grad_norm: 43.1579 2023-11-12 18:16:17,140 - mmseg - INFO - Iter [140700/160000] lr: 1.206e-05, eta: 2:40:37, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1404, decode.loss_mask: 0.4059, decode.loss_dice: 0.6080, decode.d0.loss_cls: 1.1091, decode.d0.loss_mask: 0.4332, decode.d0.loss_dice: 0.6581, decode.d1.loss_cls: 0.1924, decode.d1.loss_mask: 0.4184, decode.d1.loss_dice: 0.6362, decode.d2.loss_cls: 0.1679, decode.d2.loss_mask: 0.4115, decode.d2.loss_dice: 0.6227, decode.d3.loss_cls: 0.1570, decode.d3.loss_mask: 0.4109, decode.d3.loss_dice: 0.6169, decode.d4.loss_cls: 0.1496, decode.d4.loss_mask: 0.4102, decode.d4.loss_dice: 0.6125, decode.d5.loss_cls: 0.1482, decode.d5.loss_mask: 0.4079, decode.d5.loss_dice: 0.6107, decode.d6.loss_cls: 0.1462, decode.d6.loss_mask: 0.4074, decode.d6.loss_dice: 0.6114, decode.d7.loss_cls: 0.1444, decode.d7.loss_mask: 0.4064, decode.d7.loss_dice: 0.6135, decode.d8.loss_cls: 0.1451, decode.d8.loss_mask: 0.4058, decode.d8.loss_dice: 0.6099, loss: 12.8175, grad_norm: 45.0508 2023-11-12 18:16:40,952 - mmseg - INFO - Iter [140750/160000] lr: 1.203e-05, eta: 2:40:12, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1510, decode.loss_mask: 0.3853, decode.loss_dice: 0.6159, decode.d0.loss_cls: 1.0999, decode.d0.loss_mask: 0.4103, decode.d0.loss_dice: 0.6671, decode.d1.loss_cls: 0.2021, decode.d1.loss_mask: 0.3963, decode.d1.loss_dice: 0.6505, decode.d2.loss_cls: 0.1698, decode.d2.loss_mask: 0.3898, decode.d2.loss_dice: 0.6349, decode.d3.loss_cls: 0.1673, decode.d3.loss_mask: 0.3867, decode.d3.loss_dice: 0.6238, decode.d4.loss_cls: 0.1590, decode.d4.loss_mask: 0.3867, decode.d4.loss_dice: 0.6203, decode.d5.loss_cls: 0.1530, decode.d5.loss_mask: 0.3855, decode.d5.loss_dice: 0.6197, decode.d6.loss_cls: 0.1498, decode.d6.loss_mask: 0.3862, decode.d6.loss_dice: 0.6178, decode.d7.loss_cls: 0.1492, decode.d7.loss_mask: 0.3867, decode.d7.loss_dice: 0.6196, decode.d8.loss_cls: 0.1475, decode.d8.loss_mask: 0.3863, decode.d8.loss_dice: 0.6171, loss: 12.7353, grad_norm: 44.6334 2023-11-12 18:17:04,842 - mmseg - INFO - Iter [140800/160000] lr: 1.200e-05, eta: 2:39:47, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1427, decode.loss_mask: 0.3964, decode.loss_dice: 0.6310, decode.d0.loss_cls: 1.1068, decode.d0.loss_mask: 0.4225, decode.d0.loss_dice: 0.6775, decode.d1.loss_cls: 0.2044, decode.d1.loss_mask: 0.4039, decode.d1.loss_dice: 0.6624, decode.d2.loss_cls: 0.1769, decode.d2.loss_mask: 0.3978, decode.d2.loss_dice: 0.6439, decode.d3.loss_cls: 0.1620, decode.d3.loss_mask: 0.3959, decode.d3.loss_dice: 0.6332, decode.d4.loss_cls: 0.1484, decode.d4.loss_mask: 0.3964, decode.d4.loss_dice: 0.6339, decode.d5.loss_cls: 0.1506, decode.d5.loss_mask: 0.3954, decode.d5.loss_dice: 0.6351, decode.d6.loss_cls: 0.1451, decode.d6.loss_mask: 0.3955, decode.d6.loss_dice: 0.6313, decode.d7.loss_cls: 0.1427, decode.d7.loss_mask: 0.3950, decode.d7.loss_dice: 0.6311, decode.d8.loss_cls: 0.1403, decode.d8.loss_mask: 0.3958, decode.d8.loss_dice: 0.6360, loss: 12.9301, grad_norm: 43.5477 2023-11-12 18:17:28,369 - mmseg - INFO - Iter [140850/160000] lr: 1.197e-05, eta: 2:39:21, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1358, decode.loss_mask: 0.4057, decode.loss_dice: 0.6184, decode.d0.loss_cls: 1.0792, decode.d0.loss_mask: 0.4331, decode.d0.loss_dice: 0.6659, decode.d1.loss_cls: 0.1891, decode.d1.loss_mask: 0.4158, decode.d1.loss_dice: 0.6493, decode.d2.loss_cls: 0.1602, decode.d2.loss_mask: 0.4118, decode.d2.loss_dice: 0.6355, decode.d3.loss_cls: 0.1519, decode.d3.loss_mask: 0.4101, decode.d3.loss_dice: 0.6224, decode.d4.loss_cls: 0.1453, decode.d4.loss_mask: 0.4083, decode.d4.loss_dice: 0.6219, decode.d5.loss_cls: 0.1406, decode.d5.loss_mask: 0.4069, decode.d5.loss_dice: 0.6221, decode.d6.loss_cls: 0.1420, decode.d6.loss_mask: 0.4067, decode.d6.loss_dice: 0.6198, decode.d7.loss_cls: 0.1366, decode.d7.loss_mask: 0.4050, decode.d7.loss_dice: 0.6189, decode.d8.loss_cls: 0.1362, decode.d8.loss_mask: 0.4051, decode.d8.loss_dice: 0.6190, loss: 12.8187, grad_norm: 43.2398 2023-11-12 18:17:52,036 - mmseg - INFO - Iter [140900/160000] lr: 1.194e-05, eta: 2:38:56, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1431, decode.loss_mask: 0.4202, decode.loss_dice: 0.6281, decode.d0.loss_cls: 1.0789, decode.d0.loss_mask: 0.4552, decode.d0.loss_dice: 0.6807, decode.d1.loss_cls: 0.1939, decode.d1.loss_mask: 0.4326, decode.d1.loss_dice: 0.6521, decode.d2.loss_cls: 0.1641, decode.d2.loss_mask: 0.4271, decode.d2.loss_dice: 0.6437, decode.d3.loss_cls: 0.1579, decode.d3.loss_mask: 0.4230, decode.d3.loss_dice: 0.6328, decode.d4.loss_cls: 0.1508, decode.d4.loss_mask: 0.4218, decode.d4.loss_dice: 0.6311, decode.d5.loss_cls: 0.1485, decode.d5.loss_mask: 0.4221, decode.d5.loss_dice: 0.6353, decode.d6.loss_cls: 0.1450, decode.d6.loss_mask: 0.4215, decode.d6.loss_dice: 0.6279, decode.d7.loss_cls: 0.1423, decode.d7.loss_mask: 0.4215, decode.d7.loss_dice: 0.6282, decode.d8.loss_cls: 0.1452, decode.d8.loss_mask: 0.4206, decode.d8.loss_dice: 0.6272, loss: 13.1221, grad_norm: 43.9158 2023-11-12 18:18:15,587 - mmseg - INFO - Iter [140950/160000] lr: 1.191e-05, eta: 2:38:31, time: 0.471, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1436, decode.loss_mask: 0.3921, decode.loss_dice: 0.5928, decode.d0.loss_cls: 1.1068, decode.d0.loss_mask: 0.4236, decode.d0.loss_dice: 0.6497, decode.d1.loss_cls: 0.2025, decode.d1.loss_mask: 0.4016, decode.d1.loss_dice: 0.6210, decode.d2.loss_cls: 0.1742, decode.d2.loss_mask: 0.3980, decode.d2.loss_dice: 0.6092, decode.d3.loss_cls: 0.1598, decode.d3.loss_mask: 0.3941, decode.d3.loss_dice: 0.5982, decode.d4.loss_cls: 0.1583, decode.d4.loss_mask: 0.3943, decode.d4.loss_dice: 0.5974, decode.d5.loss_cls: 0.1486, decode.d5.loss_mask: 0.3931, decode.d5.loss_dice: 0.5943, decode.d6.loss_cls: 0.1510, decode.d6.loss_mask: 0.3930, decode.d6.loss_dice: 0.5915, decode.d7.loss_cls: 0.1468, decode.d7.loss_mask: 0.3941, decode.d7.loss_dice: 0.5968, decode.d8.loss_cls: 0.1454, decode.d8.loss_mask: 0.3944, decode.d8.loss_dice: 0.5968, loss: 12.5630, grad_norm: 44.5253 2023-11-12 18:18:39,188 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 18:18:39,188 - mmseg - INFO - Iter [141000/160000] lr: 1.188e-05, eta: 2:38:06, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1387, decode.loss_mask: 0.4170, decode.loss_dice: 0.6236, decode.d0.loss_cls: 1.0876, decode.d0.loss_mask: 0.4481, decode.d0.loss_dice: 0.6743, decode.d1.loss_cls: 0.1966, decode.d1.loss_mask: 0.4273, decode.d1.loss_dice: 0.6502, decode.d2.loss_cls: 0.1617, decode.d2.loss_mask: 0.4197, decode.d2.loss_dice: 0.6388, decode.d3.loss_cls: 0.1522, decode.d3.loss_mask: 0.4175, decode.d3.loss_dice: 0.6297, decode.d4.loss_cls: 0.1429, decode.d4.loss_mask: 0.4165, decode.d4.loss_dice: 0.6270, decode.d5.loss_cls: 0.1423, decode.d5.loss_mask: 0.4174, decode.d5.loss_dice: 0.6299, decode.d6.loss_cls: 0.1400, decode.d6.loss_mask: 0.4169, decode.d6.loss_dice: 0.6206, decode.d7.loss_cls: 0.1392, decode.d7.loss_mask: 0.4167, decode.d7.loss_dice: 0.6259, decode.d8.loss_cls: 0.1397, decode.d8.loss_mask: 0.4168, decode.d8.loss_dice: 0.6232, loss: 12.9982, grad_norm: 52.1827 2023-11-12 18:19:02,797 - mmseg - INFO - Iter [141050/160000] lr: 1.184e-05, eta: 2:37:41, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1518, decode.loss_mask: 0.4044, decode.loss_dice: 0.6255, decode.d0.loss_cls: 1.0967, decode.d0.loss_mask: 0.4356, decode.d0.loss_dice: 0.6765, decode.d1.loss_cls: 0.2041, decode.d1.loss_mask: 0.4161, decode.d1.loss_dice: 0.6580, decode.d2.loss_cls: 0.1793, decode.d2.loss_mask: 0.4097, decode.d2.loss_dice: 0.6416, decode.d3.loss_cls: 0.1714, decode.d3.loss_mask: 0.4066, decode.d3.loss_dice: 0.6298, decode.d4.loss_cls: 0.1639, decode.d4.loss_mask: 0.4057, decode.d4.loss_dice: 0.6325, decode.d5.loss_cls: 0.1579, decode.d5.loss_mask: 0.4055, decode.d5.loss_dice: 0.6326, decode.d6.loss_cls: 0.1566, decode.d6.loss_mask: 0.4052, decode.d6.loss_dice: 0.6294, decode.d7.loss_cls: 0.1552, decode.d7.loss_mask: 0.4043, decode.d7.loss_dice: 0.6293, decode.d8.loss_cls: 0.1514, decode.d8.loss_mask: 0.4043, decode.d8.loss_dice: 0.6269, loss: 13.0677, grad_norm: 43.7786 2023-11-12 18:19:26,389 - mmseg - INFO - Iter [141100/160000] lr: 1.181e-05, eta: 2:37:16, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1222, decode.loss_mask: 0.4186, decode.loss_dice: 0.6112, decode.d0.loss_cls: 1.0506, decode.d0.loss_mask: 0.4511, decode.d0.loss_dice: 0.6627, decode.d1.loss_cls: 0.1813, decode.d1.loss_mask: 0.4301, decode.d1.loss_dice: 0.6375, decode.d2.loss_cls: 0.1585, decode.d2.loss_mask: 0.4220, decode.d2.loss_dice: 0.6265, decode.d3.loss_cls: 0.1393, decode.d3.loss_mask: 0.4199, decode.d3.loss_dice: 0.6140, decode.d4.loss_cls: 0.1352, decode.d4.loss_mask: 0.4178, decode.d4.loss_dice: 0.6175, decode.d5.loss_cls: 0.1292, decode.d5.loss_mask: 0.4173, decode.d5.loss_dice: 0.6158, decode.d6.loss_cls: 0.1271, decode.d6.loss_mask: 0.4179, decode.d6.loss_dice: 0.6125, decode.d7.loss_cls: 0.1285, decode.d7.loss_mask: 0.4174, decode.d7.loss_dice: 0.6129, decode.d8.loss_cls: 0.1249, decode.d8.loss_mask: 0.4176, decode.d8.loss_dice: 0.6122, loss: 12.7493, grad_norm: 49.2527 2023-11-12 18:19:50,331 - mmseg - INFO - Iter [141150/160000] lr: 1.178e-05, eta: 2:36:51, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1317, decode.loss_mask: 0.4026, decode.loss_dice: 0.6101, decode.d0.loss_cls: 1.0698, decode.d0.loss_mask: 0.4349, decode.d0.loss_dice: 0.6594, decode.d1.loss_cls: 0.1912, decode.d1.loss_mask: 0.4172, decode.d1.loss_dice: 0.6343, decode.d2.loss_cls: 0.1654, decode.d2.loss_mask: 0.4080, decode.d2.loss_dice: 0.6216, decode.d3.loss_cls: 0.1495, decode.d3.loss_mask: 0.4048, decode.d3.loss_dice: 0.6157, decode.d4.loss_cls: 0.1393, decode.d4.loss_mask: 0.4047, decode.d4.loss_dice: 0.6109, decode.d5.loss_cls: 0.1345, decode.d5.loss_mask: 0.4054, decode.d5.loss_dice: 0.6125, decode.d6.loss_cls: 0.1363, decode.d6.loss_mask: 0.4031, decode.d6.loss_dice: 0.6117, decode.d7.loss_cls: 0.1334, decode.d7.loss_mask: 0.4032, decode.d7.loss_dice: 0.6080, decode.d8.loss_cls: 0.1303, decode.d8.loss_mask: 0.4027, decode.d8.loss_dice: 0.6112, loss: 12.6634, grad_norm: 46.6004 2023-11-12 18:20:14,217 - mmseg - INFO - Iter [141200/160000] lr: 1.175e-05, eta: 2:36:25, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1470, decode.loss_mask: 0.4082, decode.loss_dice: 0.6084, decode.d0.loss_cls: 1.0994, decode.d0.loss_mask: 0.4378, decode.d0.loss_dice: 0.6610, decode.d1.loss_cls: 0.2118, decode.d1.loss_mask: 0.4209, decode.d1.loss_dice: 0.6351, decode.d2.loss_cls: 0.1743, decode.d2.loss_mask: 0.4177, decode.d2.loss_dice: 0.6257, decode.d3.loss_cls: 0.1611, decode.d3.loss_mask: 0.4139, decode.d3.loss_dice: 0.6131, decode.d4.loss_cls: 0.1523, decode.d4.loss_mask: 0.4121, decode.d4.loss_dice: 0.6148, decode.d5.loss_cls: 0.1534, decode.d5.loss_mask: 0.4115, decode.d5.loss_dice: 0.6142, decode.d6.loss_cls: 0.1571, decode.d6.loss_mask: 0.4102, decode.d6.loss_dice: 0.6079, decode.d7.loss_cls: 0.1504, decode.d7.loss_mask: 0.4097, decode.d7.loss_dice: 0.6094, decode.d8.loss_cls: 0.1509, decode.d8.loss_mask: 0.4084, decode.d8.loss_dice: 0.6124, loss: 12.9103, grad_norm: 45.7374 2023-11-12 18:20:38,045 - mmseg - INFO - Iter [141250/160000] lr: 1.172e-05, eta: 2:36:00, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1325, decode.loss_mask: 0.3918, decode.loss_dice: 0.6109, decode.d0.loss_cls: 1.1004, decode.d0.loss_mask: 0.4200, decode.d0.loss_dice: 0.6579, decode.d1.loss_cls: 0.1969, decode.d1.loss_mask: 0.4000, decode.d1.loss_dice: 0.6312, decode.d2.loss_cls: 0.1650, decode.d2.loss_mask: 0.3963, decode.d2.loss_dice: 0.6221, decode.d3.loss_cls: 0.1499, decode.d3.loss_mask: 0.3937, decode.d3.loss_dice: 0.6101, decode.d4.loss_cls: 0.1487, decode.d4.loss_mask: 0.3927, decode.d4.loss_dice: 0.6114, decode.d5.loss_cls: 0.1444, decode.d5.loss_mask: 0.3929, decode.d5.loss_dice: 0.6085, decode.d6.loss_cls: 0.1414, decode.d6.loss_mask: 0.3930, decode.d6.loss_dice: 0.6091, decode.d7.loss_cls: 0.1358, decode.d7.loss_mask: 0.3920, decode.d7.loss_dice: 0.6086, decode.d8.loss_cls: 0.1382, decode.d8.loss_mask: 0.3918, decode.d8.loss_dice: 0.6092, loss: 12.5963, grad_norm: 40.7800 2023-11-12 18:21:01,716 - mmseg - INFO - Iter [141300/160000] lr: 1.169e-05, eta: 2:35:35, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1501, decode.loss_mask: 0.4100, decode.loss_dice: 0.6394, decode.d0.loss_cls: 1.1194, decode.d0.loss_mask: 0.4427, decode.d0.loss_dice: 0.6963, decode.d1.loss_cls: 0.2026, decode.d1.loss_mask: 0.4258, decode.d1.loss_dice: 0.6726, decode.d2.loss_cls: 0.1819, decode.d2.loss_mask: 0.4180, decode.d2.loss_dice: 0.6526, decode.d3.loss_cls: 0.1671, decode.d3.loss_mask: 0.4143, decode.d3.loss_dice: 0.6461, decode.d4.loss_cls: 0.1591, decode.d4.loss_mask: 0.4129, decode.d4.loss_dice: 0.6458, decode.d5.loss_cls: 0.1563, decode.d5.loss_mask: 0.4135, decode.d5.loss_dice: 0.6442, decode.d6.loss_cls: 0.1513, decode.d6.loss_mask: 0.4120, decode.d6.loss_dice: 0.6415, decode.d7.loss_cls: 0.1524, decode.d7.loss_mask: 0.4119, decode.d7.loss_dice: 0.6441, decode.d8.loss_cls: 0.1490, decode.d8.loss_mask: 0.4119, decode.d8.loss_dice: 0.6422, loss: 13.2872, grad_norm: 44.7817 2023-11-12 18:21:25,455 - mmseg - INFO - Iter [141350/160000] lr: 1.166e-05, eta: 2:35:10, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1323, decode.loss_mask: 0.4218, decode.loss_dice: 0.6353, decode.d0.loss_cls: 1.0651, decode.d0.loss_mask: 0.4516, decode.d0.loss_dice: 0.6848, decode.d1.loss_cls: 0.1905, decode.d1.loss_mask: 0.4351, decode.d1.loss_dice: 0.6609, decode.d2.loss_cls: 0.1660, decode.d2.loss_mask: 0.4277, decode.d2.loss_dice: 0.6506, decode.d3.loss_cls: 0.1492, decode.d3.loss_mask: 0.4239, decode.d3.loss_dice: 0.6402, decode.d4.loss_cls: 0.1401, decode.d4.loss_mask: 0.4237, decode.d4.loss_dice: 0.6392, decode.d5.loss_cls: 0.1382, decode.d5.loss_mask: 0.4234, decode.d5.loss_dice: 0.6372, decode.d6.loss_cls: 0.1382, decode.d6.loss_mask: 0.4213, decode.d6.loss_dice: 0.6361, decode.d7.loss_cls: 0.1369, decode.d7.loss_mask: 0.4212, decode.d7.loss_dice: 0.6345, decode.d8.loss_cls: 0.1338, decode.d8.loss_mask: 0.4213, decode.d8.loss_dice: 0.6357, loss: 13.1157, grad_norm: 49.4704 2023-11-12 18:21:49,216 - mmseg - INFO - Iter [141400/160000] lr: 1.163e-05, eta: 2:34:45, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1452, decode.loss_mask: 0.4038, decode.loss_dice: 0.6209, decode.d0.loss_cls: 1.1221, decode.d0.loss_mask: 0.4315, decode.d0.loss_dice: 0.6711, decode.d1.loss_cls: 0.2014, decode.d1.loss_mask: 0.4154, decode.d1.loss_dice: 0.6455, decode.d2.loss_cls: 0.1720, decode.d2.loss_mask: 0.4079, decode.d2.loss_dice: 0.6340, decode.d3.loss_cls: 0.1573, decode.d3.loss_mask: 0.4055, decode.d3.loss_dice: 0.6226, decode.d4.loss_cls: 0.1508, decode.d4.loss_mask: 0.4053, decode.d4.loss_dice: 0.6239, decode.d5.loss_cls: 0.1474, decode.d5.loss_mask: 0.4048, decode.d5.loss_dice: 0.6259, decode.d6.loss_cls: 0.1435, decode.d6.loss_mask: 0.4042, decode.d6.loss_dice: 0.6249, decode.d7.loss_cls: 0.1445, decode.d7.loss_mask: 0.4035, decode.d7.loss_dice: 0.6206, decode.d8.loss_cls: 0.1405, decode.d8.loss_mask: 0.4037, decode.d8.loss_dice: 0.6226, loss: 12.9224, grad_norm: 46.6244 2023-11-12 18:22:12,865 - mmseg - INFO - Iter [141450/160000] lr: 1.159e-05, eta: 2:34:20, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1456, decode.loss_mask: 0.3953, decode.loss_dice: 0.6173, decode.d0.loss_cls: 1.1078, decode.d0.loss_mask: 0.4225, decode.d0.loss_dice: 0.6617, decode.d1.loss_cls: 0.2032, decode.d1.loss_mask: 0.4041, decode.d1.loss_dice: 0.6435, decode.d2.loss_cls: 0.1739, decode.d2.loss_mask: 0.3986, decode.d2.loss_dice: 0.6307, decode.d3.loss_cls: 0.1626, decode.d3.loss_mask: 0.3970, decode.d3.loss_dice: 0.6192, decode.d4.loss_cls: 0.1572, decode.d4.loss_mask: 0.3967, decode.d4.loss_dice: 0.6186, decode.d5.loss_cls: 0.1528, decode.d5.loss_mask: 0.3975, decode.d5.loss_dice: 0.6208, decode.d6.loss_cls: 0.1461, decode.d6.loss_mask: 0.3972, decode.d6.loss_dice: 0.6201, decode.d7.loss_cls: 0.1466, decode.d7.loss_mask: 0.3973, decode.d7.loss_dice: 0.6181, decode.d8.loss_cls: 0.1474, decode.d8.loss_mask: 0.3954, decode.d8.loss_dice: 0.6177, loss: 12.8125, grad_norm: 45.7774 2023-11-12 18:22:38,806 - mmseg - INFO - Iter [141500/160000] lr: 1.156e-05, eta: 2:33:55, time: 0.519, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1424, decode.loss_mask: 0.3873, decode.loss_dice: 0.6037, decode.d0.loss_cls: 1.0961, decode.d0.loss_mask: 0.4189, decode.d0.loss_dice: 0.6602, decode.d1.loss_cls: 0.2009, decode.d1.loss_mask: 0.3964, decode.d1.loss_dice: 0.6290, decode.d2.loss_cls: 0.1675, decode.d2.loss_mask: 0.3930, decode.d2.loss_dice: 0.6187, decode.d3.loss_cls: 0.1577, decode.d3.loss_mask: 0.3892, decode.d3.loss_dice: 0.6071, decode.d4.loss_cls: 0.1446, decode.d4.loss_mask: 0.3897, decode.d4.loss_dice: 0.6050, decode.d5.loss_cls: 0.1440, decode.d5.loss_mask: 0.3883, decode.d5.loss_dice: 0.6072, decode.d6.loss_cls: 0.1438, decode.d6.loss_mask: 0.3883, decode.d6.loss_dice: 0.6043, decode.d7.loss_cls: 0.1421, decode.d7.loss_mask: 0.3882, decode.d7.loss_dice: 0.6050, decode.d8.loss_cls: 0.1432, decode.d8.loss_mask: 0.3871, decode.d8.loss_dice: 0.6041, loss: 12.5531, grad_norm: 41.1441 2023-11-12 18:23:02,728 - mmseg - INFO - Iter [141550/160000] lr: 1.153e-05, eta: 2:33:30, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1393, decode.loss_mask: 0.3986, decode.loss_dice: 0.6299, decode.d0.loss_cls: 1.1007, decode.d0.loss_mask: 0.4307, decode.d0.loss_dice: 0.6803, decode.d1.loss_cls: 0.2012, decode.d1.loss_mask: 0.4096, decode.d1.loss_dice: 0.6485, decode.d2.loss_cls: 0.1616, decode.d2.loss_mask: 0.4039, decode.d2.loss_dice: 0.6395, decode.d3.loss_cls: 0.1504, decode.d3.loss_mask: 0.4013, decode.d3.loss_dice: 0.6328, decode.d4.loss_cls: 0.1440, decode.d4.loss_mask: 0.4010, decode.d4.loss_dice: 0.6310, decode.d5.loss_cls: 0.1408, decode.d5.loss_mask: 0.3994, decode.d5.loss_dice: 0.6327, decode.d6.loss_cls: 0.1400, decode.d6.loss_mask: 0.3987, decode.d6.loss_dice: 0.6286, decode.d7.loss_cls: 0.1390, decode.d7.loss_mask: 0.3978, decode.d7.loss_dice: 0.6257, decode.d8.loss_cls: 0.1339, decode.d8.loss_mask: 0.3980, decode.d8.loss_dice: 0.6275, loss: 12.8663, grad_norm: 42.2287 2023-11-12 18:23:26,457 - mmseg - INFO - Iter [141600/160000] lr: 1.150e-05, eta: 2:33:05, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1422, decode.loss_mask: 0.3873, decode.loss_dice: 0.5973, decode.d0.loss_cls: 1.0718, decode.d0.loss_mask: 0.4139, decode.d0.loss_dice: 0.6532, decode.d1.loss_cls: 0.1879, decode.d1.loss_mask: 0.3973, decode.d1.loss_dice: 0.6209, decode.d2.loss_cls: 0.1616, decode.d2.loss_mask: 0.3925, decode.d2.loss_dice: 0.6105, decode.d3.loss_cls: 0.1509, decode.d3.loss_mask: 0.3883, decode.d3.loss_dice: 0.6021, decode.d4.loss_cls: 0.1500, decode.d4.loss_mask: 0.3888, decode.d4.loss_dice: 0.5993, decode.d5.loss_cls: 0.1485, decode.d5.loss_mask: 0.3863, decode.d5.loss_dice: 0.5985, decode.d6.loss_cls: 0.1436, decode.d6.loss_mask: 0.3866, decode.d6.loss_dice: 0.5981, decode.d7.loss_cls: 0.1396, decode.d7.loss_mask: 0.3879, decode.d7.loss_dice: 0.5970, decode.d8.loss_cls: 0.1432, decode.d8.loss_mask: 0.3868, decode.d8.loss_dice: 0.5995, loss: 12.4313, grad_norm: 42.3343 2023-11-12 18:23:50,201 - mmseg - INFO - Iter [141650/160000] lr: 1.147e-05, eta: 2:32:40, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1252, decode.loss_mask: 0.3941, decode.loss_dice: 0.5992, decode.d0.loss_cls: 1.0853, decode.d0.loss_mask: 0.4240, decode.d0.loss_dice: 0.6483, decode.d1.loss_cls: 0.1851, decode.d1.loss_mask: 0.4079, decode.d1.loss_dice: 0.6297, decode.d2.loss_cls: 0.1541, decode.d2.loss_mask: 0.3997, decode.d2.loss_dice: 0.6121, decode.d3.loss_cls: 0.1375, decode.d3.loss_mask: 0.3954, decode.d3.loss_dice: 0.6049, decode.d4.loss_cls: 0.1357, decode.d4.loss_mask: 0.3947, decode.d4.loss_dice: 0.5999, decode.d5.loss_cls: 0.1329, decode.d5.loss_mask: 0.3941, decode.d5.loss_dice: 0.6020, decode.d6.loss_cls: 0.1309, decode.d6.loss_mask: 0.3952, decode.d6.loss_dice: 0.5989, decode.d7.loss_cls: 0.1313, decode.d7.loss_mask: 0.3948, decode.d7.loss_dice: 0.5971, decode.d8.loss_cls: 0.1322, decode.d8.loss_mask: 0.3933, decode.d8.loss_dice: 0.5967, loss: 12.4324, grad_norm: 42.7321 2023-11-12 18:24:13,807 - mmseg - INFO - Iter [141700/160000] lr: 1.144e-05, eta: 2:32:15, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1283, decode.loss_mask: 0.3908, decode.loss_dice: 0.6026, decode.d0.loss_cls: 1.0690, decode.d0.loss_mask: 0.4186, decode.d0.loss_dice: 0.6517, decode.d1.loss_cls: 0.1928, decode.d1.loss_mask: 0.4006, decode.d1.loss_dice: 0.6289, decode.d2.loss_cls: 0.1580, decode.d2.loss_mask: 0.3953, decode.d2.loss_dice: 0.6201, decode.d3.loss_cls: 0.1443, decode.d3.loss_mask: 0.3916, decode.d3.loss_dice: 0.6088, decode.d4.loss_cls: 0.1414, decode.d4.loss_mask: 0.3913, decode.d4.loss_dice: 0.6082, decode.d5.loss_cls: 0.1333, decode.d5.loss_mask: 0.3906, decode.d5.loss_dice: 0.6053, decode.d6.loss_cls: 0.1320, decode.d6.loss_mask: 0.3926, decode.d6.loss_dice: 0.6038, decode.d7.loss_cls: 0.1286, decode.d7.loss_mask: 0.3922, decode.d7.loss_dice: 0.6076, decode.d8.loss_cls: 0.1281, decode.d8.loss_mask: 0.3914, decode.d8.loss_dice: 0.6055, loss: 12.4532, grad_norm: 45.7263 2023-11-12 18:24:37,439 - mmseg - INFO - Iter [141750/160000] lr: 1.141e-05, eta: 2:31:49, time: 0.473, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1454, decode.loss_mask: 0.4032, decode.loss_dice: 0.6296, decode.d0.loss_cls: 1.1007, decode.d0.loss_mask: 0.4374, decode.d0.loss_dice: 0.6834, decode.d1.loss_cls: 0.2011, decode.d1.loss_mask: 0.4163, decode.d1.loss_dice: 0.6577, decode.d2.loss_cls: 0.1727, decode.d2.loss_mask: 0.4110, decode.d2.loss_dice: 0.6438, decode.d3.loss_cls: 0.1571, decode.d3.loss_mask: 0.4078, decode.d3.loss_dice: 0.6302, decode.d4.loss_cls: 0.1554, decode.d4.loss_mask: 0.4055, decode.d4.loss_dice: 0.6332, decode.d5.loss_cls: 0.1518, decode.d5.loss_mask: 0.4059, decode.d5.loss_dice: 0.6315, decode.d6.loss_cls: 0.1506, decode.d6.loss_mask: 0.4050, decode.d6.loss_dice: 0.6275, decode.d7.loss_cls: 0.1507, decode.d7.loss_mask: 0.4039, decode.d7.loss_dice: 0.6285, decode.d8.loss_cls: 0.1488, decode.d8.loss_mask: 0.4041, decode.d8.loss_dice: 0.6278, loss: 13.0278, grad_norm: 46.6293 2023-11-12 18:25:01,107 - mmseg - INFO - Iter [141800/160000] lr: 1.138e-05, eta: 2:31:24, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1398, decode.loss_mask: 0.3973, decode.loss_dice: 0.6263, decode.d0.loss_cls: 1.0904, decode.d0.loss_mask: 0.4247, decode.d0.loss_dice: 0.6789, decode.d1.loss_cls: 0.1993, decode.d1.loss_mask: 0.4051, decode.d1.loss_dice: 0.6545, decode.d2.loss_cls: 0.1710, decode.d2.loss_mask: 0.3996, decode.d2.loss_dice: 0.6396, decode.d3.loss_cls: 0.1580, decode.d3.loss_mask: 0.3983, decode.d3.loss_dice: 0.6312, decode.d4.loss_cls: 0.1499, decode.d4.loss_mask: 0.3984, decode.d4.loss_dice: 0.6303, decode.d5.loss_cls: 0.1466, decode.d5.loss_mask: 0.3975, decode.d5.loss_dice: 0.6269, decode.d6.loss_cls: 0.1441, decode.d6.loss_mask: 0.3964, decode.d6.loss_dice: 0.6252, decode.d7.loss_cls: 0.1439, decode.d7.loss_mask: 0.3973, decode.d7.loss_dice: 0.6271, decode.d8.loss_cls: 0.1427, decode.d8.loss_mask: 0.3967, decode.d8.loss_dice: 0.6272, loss: 12.8641, grad_norm: 42.3834 2023-11-12 18:25:24,787 - mmseg - INFO - Iter [141850/160000] lr: 1.134e-05, eta: 2:30:59, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1404, decode.loss_mask: 0.4026, decode.loss_dice: 0.6236, decode.d0.loss_cls: 1.0946, decode.d0.loss_mask: 0.4355, decode.d0.loss_dice: 0.6706, decode.d1.loss_cls: 0.1984, decode.d1.loss_mask: 0.4155, decode.d1.loss_dice: 0.6492, decode.d2.loss_cls: 0.1686, decode.d2.loss_mask: 0.4093, decode.d2.loss_dice: 0.6338, decode.d3.loss_cls: 0.1577, decode.d3.loss_mask: 0.4057, decode.d3.loss_dice: 0.6268, decode.d4.loss_cls: 0.1505, decode.d4.loss_mask: 0.4039, decode.d4.loss_dice: 0.6257, decode.d5.loss_cls: 0.1487, decode.d5.loss_mask: 0.4032, decode.d5.loss_dice: 0.6240, decode.d6.loss_cls: 0.1429, decode.d6.loss_mask: 0.4024, decode.d6.loss_dice: 0.6237, decode.d7.loss_cls: 0.1435, decode.d7.loss_mask: 0.4031, decode.d7.loss_dice: 0.6242, decode.d8.loss_cls: 0.1405, decode.d8.loss_mask: 0.4025, decode.d8.loss_dice: 0.6217, loss: 12.8927, grad_norm: 44.4388 2023-11-12 18:25:48,679 - mmseg - INFO - Iter [141900/160000] lr: 1.131e-05, eta: 2:30:34, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1458, decode.loss_mask: 0.4030, decode.loss_dice: 0.6346, decode.d0.loss_cls: 1.1297, decode.d0.loss_mask: 0.4316, decode.d0.loss_dice: 0.6849, decode.d1.loss_cls: 0.2147, decode.d1.loss_mask: 0.4130, decode.d1.loss_dice: 0.6633, decode.d2.loss_cls: 0.1755, decode.d2.loss_mask: 0.4064, decode.d2.loss_dice: 0.6477, decode.d3.loss_cls: 0.1658, decode.d3.loss_mask: 0.4043, decode.d3.loss_dice: 0.6357, decode.d4.loss_cls: 0.1582, decode.d4.loss_mask: 0.4039, decode.d4.loss_dice: 0.6361, decode.d5.loss_cls: 0.1534, decode.d5.loss_mask: 0.4040, decode.d5.loss_dice: 0.6350, decode.d6.loss_cls: 0.1490, decode.d6.loss_mask: 0.4047, decode.d6.loss_dice: 0.6319, decode.d7.loss_cls: 0.1493, decode.d7.loss_mask: 0.4023, decode.d7.loss_dice: 0.6356, decode.d8.loss_cls: 0.1446, decode.d8.loss_mask: 0.4033, decode.d8.loss_dice: 0.6400, loss: 13.1073, grad_norm: 46.6176 2023-11-12 18:26:12,272 - mmseg - INFO - Iter [141950/160000] lr: 1.128e-05, eta: 2:30:09, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1380, decode.loss_mask: 0.4113, decode.loss_dice: 0.6178, decode.d0.loss_cls: 1.0727, decode.d0.loss_mask: 0.4437, decode.d0.loss_dice: 0.6703, decode.d1.loss_cls: 0.1965, decode.d1.loss_mask: 0.4201, decode.d1.loss_dice: 0.6430, decode.d2.loss_cls: 0.1677, decode.d2.loss_mask: 0.4169, decode.d2.loss_dice: 0.6334, decode.d3.loss_cls: 0.1554, decode.d3.loss_mask: 0.4124, decode.d3.loss_dice: 0.6241, decode.d4.loss_cls: 0.1480, decode.d4.loss_mask: 0.4125, decode.d4.loss_dice: 0.6249, decode.d5.loss_cls: 0.1438, decode.d5.loss_mask: 0.4116, decode.d5.loss_dice: 0.6231, decode.d6.loss_cls: 0.1447, decode.d6.loss_mask: 0.4117, decode.d6.loss_dice: 0.6165, decode.d7.loss_cls: 0.1437, decode.d7.loss_mask: 0.4118, decode.d7.loss_dice: 0.6189, decode.d8.loss_cls: 0.1446, decode.d8.loss_mask: 0.4113, decode.d8.loss_dice: 0.6167, loss: 12.9072, grad_norm: 46.8319 2023-11-12 18:26:36,635 - mmseg - INFO - Saving checkpoint at 142000 iterations 2023-11-12 18:26:40,533 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 18:26:40,533 - mmseg - INFO - Iter [142000/160000] lr: 1.125e-05, eta: 2:29:44, time: 0.565, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1269, decode.loss_mask: 0.4008, decode.loss_dice: 0.6165, decode.d0.loss_cls: 1.1051, decode.d0.loss_mask: 0.4342, decode.d0.loss_dice: 0.6636, decode.d1.loss_cls: 0.1935, decode.d1.loss_mask: 0.4158, decode.d1.loss_dice: 0.6435, decode.d2.loss_cls: 0.1590, decode.d2.loss_mask: 0.4097, decode.d2.loss_dice: 0.6297, decode.d3.loss_cls: 0.1467, decode.d3.loss_mask: 0.4062, decode.d3.loss_dice: 0.6233, decode.d4.loss_cls: 0.1412, decode.d4.loss_mask: 0.4042, decode.d4.loss_dice: 0.6212, decode.d5.loss_cls: 0.1337, decode.d5.loss_mask: 0.4018, decode.d5.loss_dice: 0.6200, decode.d6.loss_cls: 0.1357, decode.d6.loss_mask: 0.4017, decode.d6.loss_dice: 0.6147, decode.d7.loss_cls: 0.1342, decode.d7.loss_mask: 0.4020, decode.d7.loss_dice: 0.6152, decode.d8.loss_cls: 0.1300, decode.d8.loss_mask: 0.4006, decode.d8.loss_dice: 0.6167, loss: 12.7473, grad_norm: 47.1197 2023-11-12 18:26:59,841 - mmseg - INFO - per class results: 2023-11-12 18:26:59,846 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.26 | 88.63 | | building | 82.75 | 92.03 | | sky | 94.78 | 97.2 | | floor | 83.28 | 90.58 | | tree | 75.0 | 87.7 | | ceiling | 84.41 | 90.18 | | road | 85.21 | 91.43 | | bed | 91.13 | 95.99 | | windowpane | 64.73 | 80.46 | | grass | 69.46 | 82.16 | | cabinet | 64.27 | 76.19 | | sidewalk | 68.57 | 81.1 | | person | 84.65 | 93.02 | | earth | 43.21 | 59.73 | | door | 52.29 | 66.71 | | table | 66.56 | 81.66 | | mountain | 57.56 | 70.28 | | plant | 52.62 | 66.4 | | curtain | 77.68 | 87.24 | | chair | 63.01 | 74.79 | | car | 85.76 | 92.17 | | water | 59.5 | 74.94 | | painting | 77.14 | 89.48 | | sofa | 68.54 | 81.73 | | shelf | 45.65 | 64.17 | | house | 29.38 | 46.37 | | sea | 71.62 | 90.13 | | mirror | 71.55 | 80.23 | | rug | 65.64 | 78.57 | | field | 33.79 | 52.56 | | armchair | 48.3 | 70.64 | | seat | 58.97 | 81.02 | | fence | 50.64 | 69.02 | | desk | 56.74 | 74.72 | | rock | 43.84 | 67.37 | | wardrobe | 48.89 | 62.97 | | lamp | 72.34 | 83.59 | | bathtub | 84.4 | 90.1 | | railing | 36.97 | 52.82 | | cushion | 65.72 | 78.38 | | base | 36.19 | 54.34 | | box | 28.75 | 40.52 | | column | 44.89 | 55.67 | | signboard | 35.17 | 53.5 | | chest of drawers | 35.68 | 65.75 | | counter | 32.26 | 41.08 | | sand | 39.96 | 53.95 | | sink | 78.77 | 83.12 | | skyscraper | 39.72 | 45.88 | | fireplace | 75.13 | 93.53 | | refrigerator | 79.47 | 83.3 | | grandstand | 39.56 | 73.58 | | path | 29.36 | 44.26 | | stairs | 28.25 | 34.98 | | runway | 78.69 | 92.51 | | case | 61.15 | 80.13 | | pool table | 95.14 | 97.71 | | pillow | 64.08 | 77.89 | | screen door | 70.86 | 82.11 | | stairway | 31.88 | 41.44 | | river | 12.06 | 19.48 | | bridge | 80.01 | 88.68 | | bookcase | 38.24 | 63.55 | | blind | 48.56 | 53.13 | | coffee table | 67.92 | 85.98 | | toilet | 89.17 | 91.8 | | flower | 44.34 | 66.71 | | book | 50.9 | 70.47 | | hill | 4.96 | 13.48 | | bench | 58.86 | 70.09 | | countertop | 65.91 | 79.18 | | stove | 83.82 | 89.24 | | palm | 56.36 | 74.13 | | kitchen island | 57.13 | 81.07 | | computer | 71.45 | 79.02 | | swivel chair | 36.18 | 58.44 | | boat | 44.36 | 50.35 | | bar | 36.01 | 44.18 | | arcade machine | 85.89 | 91.37 | | hovel | 32.74 | 52.48 | | bus | 94.58 | 97.02 | | towel | 63.95 | 81.05 | | light | 60.69 | 69.72 | | truck | 32.47 | 57.32 | | tower | 35.88 | 63.29 | | chandelier | 72.47 | 86.89 | | awning | 31.5 | 43.56 | | streetlight | 43.2 | 62.86 | | booth | 34.2 | 69.75 | | television receiver | 77.29 | 83.88 | | airplane | 64.07 | 74.64 | | dirt track | 7.76 | 47.24 | | apparel | 27.74 | 48.78 | | pole | 31.04 | 49.39 | | land | 7.18 | 9.46 | | bannister | 23.49 | 32.42 | | escalator | 22.78 | 26.41 | | ottoman | 59.97 | 75.87 | | bottle | 27.15 | 32.9 | | buffet | 46.08 | 54.01 | | poster | 21.39 | 30.89 | | stage | 16.44 | 32.81 | | van | 47.27 | 62.65 | | ship | 5.16 | 10.63 | | fountain | 20.36 | 21.87 | | conveyer belt | 64.84 | 94.48 | | canopy | 28.15 | 43.47 | | washer | 72.13 | 74.06 | | plaything | 27.21 | 35.99 | | swimming pool | 62.39 | 68.05 | | stool | 43.86 | 71.22 | | barrel | 92.71 | 98.37 | | basket | 36.6 | 44.5 | | waterfall | 57.7 | 90.88 | | tent | 95.48 | 98.18 | | bag | 16.46 | 20.7 | | minibike | 74.14 | 93.09 | | cradle | 85.38 | 97.47 | | oven | 27.38 | 76.09 | | ball | 55.24 | 64.83 | | food | 58.84 | 72.02 | | step | 15.23 | 20.91 | | tank | 63.08 | 66.1 | | trade name | 31.32 | 39.09 | | microwave | 43.09 | 45.64 | | pot | 50.54 | 58.1 | | animal | 55.99 | 57.37 | | bicycle | 56.74 | 77.02 | | lake | 57.86 | 63.63 | | dishwasher | 78.89 | 84.49 | | screen | 56.78 | 84.14 | | blanket | 27.82 | 35.4 | | sculpture | 72.71 | 86.61 | | hood | 79.86 | 91.95 | | sconce | 56.72 | 73.21 | | vase | 51.63 | 68.26 | | traffic light | 43.84 | 68.76 | | tray | 15.93 | 30.89 | | ashcan | 54.41 | 66.2 | | fan | 72.89 | 85.61 | | pier | 29.52 | 45.42 | | crt screen | 2.52 | 8.31 | | plate | 58.54 | 73.78 | | monitor | 8.88 | 11.98 | | bulletin board | 54.89 | 80.68 | | shower | 5.16 | 21.13 | | radiator | 70.39 | 81.13 | | glass | 21.88 | 23.35 | | clock | 56.27 | 70.57 | | flag | 45.15 | 52.33 | +---------------------+-------+-------+ 2023-11-12 18:26:59,846 - mmseg - INFO - Summary: 2023-11-12 18:26:59,846 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.13 | 52.78 | 65.96 | +-------+-------+-------+ 2023-11-12 18:26:59,847 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 18:26:59,847 - mmseg - INFO - Iter(val) [250] aAcc: 0.8413, mIoU: 0.5278, mAcc: 0.6596, IoU.wall: 0.7926, IoU.building: 0.8275, IoU.sky: 0.9478, IoU.floor: 0.8328, IoU.tree: 0.7500, IoU.ceiling: 0.8441, IoU.road: 0.8521, IoU.bed : 0.9113, IoU.windowpane: 0.6473, IoU.grass: 0.6946, IoU.cabinet: 0.6427, IoU.sidewalk: 0.6857, IoU.person: 0.8465, IoU.earth: 0.4321, IoU.door: 0.5229, IoU.table: 0.6656, IoU.mountain: 0.5756, IoU.plant: 0.5262, IoU.curtain: 0.7768, IoU.chair: 0.6301, IoU.car: 0.8576, IoU.water: 0.5950, IoU.painting: 0.7714, IoU.sofa: 0.6854, IoU.shelf: 0.4565, IoU.house: 0.2938, IoU.sea: 0.7162, IoU.mirror: 0.7155, IoU.rug: 0.6564, IoU.field: 0.3379, IoU.armchair: 0.4830, IoU.seat: 0.5897, IoU.fence: 0.5064, IoU.desk: 0.5674, IoU.rock: 0.4384, IoU.wardrobe: 0.4889, IoU.lamp: 0.7234, IoU.bathtub: 0.8440, IoU.railing: 0.3697, IoU.cushion: 0.6572, IoU.base: 0.3619, IoU.box: 0.2875, IoU.column: 0.4489, IoU.signboard: 0.3517, IoU.chest of drawers: 0.3568, IoU.counter: 0.3226, IoU.sand: 0.3996, IoU.sink: 0.7877, IoU.skyscraper: 0.3972, IoU.fireplace: 0.7513, IoU.refrigerator: 0.7947, IoU.grandstand: 0.3956, IoU.path: 0.2936, IoU.stairs: 0.2825, IoU.runway: 0.7869, IoU.case: 0.6115, IoU.pool table: 0.9514, IoU.pillow: 0.6408, IoU.screen door: 0.7086, IoU.stairway: 0.3188, IoU.river: 0.1206, IoU.bridge: 0.8001, IoU.bookcase: 0.3824, IoU.blind: 0.4856, IoU.coffee table: 0.6792, IoU.toilet: 0.8917, IoU.flower: 0.4434, IoU.book: 0.5090, IoU.hill: 0.0496, IoU.bench: 0.5886, IoU.countertop: 0.6591, IoU.stove: 0.8382, IoU.palm: 0.5636, IoU.kitchen island: 0.5713, IoU.computer: 0.7145, IoU.swivel chair: 0.3618, IoU.boat: 0.4436, IoU.bar: 0.3601, IoU.arcade machine: 0.8589, IoU.hovel: 0.3274, IoU.bus: 0.9458, IoU.towel: 0.6395, IoU.light: 0.6069, IoU.truck: 0.3247, IoU.tower: 0.3588, IoU.chandelier: 0.7247, IoU.awning: 0.3150, IoU.streetlight: 0.4320, IoU.booth: 0.3420, IoU.television receiver: 0.7729, IoU.airplane: 0.6407, IoU.dirt track: 0.0776, IoU.apparel: 0.2774, IoU.pole: 0.3104, IoU.land: 0.0718, IoU.bannister: 0.2349, IoU.escalator: 0.2278, IoU.ottoman: 0.5997, IoU.bottle: 0.2715, IoU.buffet: 0.4608, IoU.poster: 0.2139, IoU.stage: 0.1644, IoU.van: 0.4727, IoU.ship: 0.0516, IoU.fountain: 0.2036, IoU.conveyer belt: 0.6484, IoU.canopy: 0.2815, IoU.washer: 0.7213, IoU.plaything: 0.2721, IoU.swimming pool: 0.6239, IoU.stool: 0.4386, IoU.barrel: 0.9271, IoU.basket: 0.3660, IoU.waterfall: 0.5770, IoU.tent: 0.9548, IoU.bag: 0.1646, IoU.minibike: 0.7414, IoU.cradle: 0.8538, IoU.oven: 0.2738, IoU.ball: 0.5524, IoU.food: 0.5884, IoU.step: 0.1523, IoU.tank: 0.6308, IoU.trade name: 0.3132, IoU.microwave: 0.4309, IoU.pot: 0.5054, IoU.animal: 0.5599, IoU.bicycle: 0.5674, IoU.lake: 0.5786, IoU.dishwasher: 0.7889, IoU.screen: 0.5678, IoU.blanket: 0.2782, IoU.sculpture: 0.7271, IoU.hood: 0.7986, IoU.sconce: 0.5672, IoU.vase: 0.5163, IoU.traffic light: 0.4384, IoU.tray: 0.1593, IoU.ashcan: 0.5441, IoU.fan: 0.7289, IoU.pier: 0.2952, IoU.crt screen: 0.0252, IoU.plate: 0.5854, IoU.monitor: 0.0888, IoU.bulletin board: 0.5489, IoU.shower: 0.0516, IoU.radiator: 0.7039, IoU.glass: 0.2188, IoU.clock: 0.5627, IoU.flag: 0.4515, Acc.wall: 0.8863, Acc.building: 0.9203, Acc.sky: 0.9720, Acc.floor: 0.9058, Acc.tree: 0.8770, Acc.ceiling: 0.9018, Acc.road: 0.9143, Acc.bed : 0.9599, Acc.windowpane: 0.8046, Acc.grass: 0.8216, Acc.cabinet: 0.7619, Acc.sidewalk: 0.8110, Acc.person: 0.9302, Acc.earth: 0.5973, Acc.door: 0.6671, Acc.table: 0.8166, Acc.mountain: 0.7028, Acc.plant: 0.6640, Acc.curtain: 0.8724, Acc.chair: 0.7479, Acc.car: 0.9217, Acc.water: 0.7494, Acc.painting: 0.8948, Acc.sofa: 0.8173, Acc.shelf: 0.6417, Acc.house: 0.4637, Acc.sea: 0.9013, Acc.mirror: 0.8023, Acc.rug: 0.7857, Acc.field: 0.5256, Acc.armchair: 0.7064, Acc.seat: 0.8102, Acc.fence: 0.6902, Acc.desk: 0.7472, Acc.rock: 0.6737, Acc.wardrobe: 0.6297, Acc.lamp: 0.8359, Acc.bathtub: 0.9010, Acc.railing: 0.5282, Acc.cushion: 0.7838, Acc.base: 0.5434, Acc.box: 0.4052, Acc.column: 0.5567, Acc.signboard: 0.5350, Acc.chest of drawers: 0.6575, Acc.counter: 0.4108, Acc.sand: 0.5395, Acc.sink: 0.8312, Acc.skyscraper: 0.4588, Acc.fireplace: 0.9353, Acc.refrigerator: 0.8330, Acc.grandstand: 0.7358, Acc.path: 0.4426, Acc.stairs: 0.3498, Acc.runway: 0.9251, Acc.case: 0.8013, Acc.pool table: 0.9771, Acc.pillow: 0.7789, Acc.screen door: 0.8211, Acc.stairway: 0.4144, Acc.river: 0.1948, Acc.bridge: 0.8868, Acc.bookcase: 0.6355, Acc.blind: 0.5313, Acc.coffee table: 0.8598, Acc.toilet: 0.9180, Acc.flower: 0.6671, Acc.book: 0.7047, Acc.hill: 0.1348, Acc.bench: 0.7009, Acc.countertop: 0.7918, Acc.stove: 0.8924, Acc.palm: 0.7413, Acc.kitchen island: 0.8107, Acc.computer: 0.7902, Acc.swivel chair: 0.5844, Acc.boat: 0.5035, Acc.bar: 0.4418, Acc.arcade machine: 0.9137, Acc.hovel: 0.5248, Acc.bus: 0.9702, Acc.towel: 0.8105, Acc.light: 0.6972, Acc.truck: 0.5732, Acc.tower: 0.6329, Acc.chandelier: 0.8689, Acc.awning: 0.4356, Acc.streetlight: 0.6286, Acc.booth: 0.6975, Acc.television receiver: 0.8388, Acc.airplane: 0.7464, Acc.dirt track: 0.4724, Acc.apparel: 0.4878, Acc.pole: 0.4939, Acc.land: 0.0946, Acc.bannister: 0.3242, Acc.escalator: 0.2641, Acc.ottoman: 0.7587, Acc.bottle: 0.3290, Acc.buffet: 0.5401, Acc.poster: 0.3089, Acc.stage: 0.3281, Acc.van: 0.6265, Acc.ship: 0.1063, Acc.fountain: 0.2187, Acc.conveyer belt: 0.9448, Acc.canopy: 0.4347, Acc.washer: 0.7406, Acc.plaything: 0.3599, Acc.swimming pool: 0.6805, Acc.stool: 0.7122, Acc.barrel: 0.9837, Acc.basket: 0.4450, Acc.waterfall: 0.9088, Acc.tent: 0.9818, Acc.bag: 0.2070, Acc.minibike: 0.9309, Acc.cradle: 0.9747, Acc.oven: 0.7609, Acc.ball: 0.6483, Acc.food: 0.7202, Acc.step: 0.2091, Acc.tank: 0.6610, Acc.trade name: 0.3909, Acc.microwave: 0.4564, Acc.pot: 0.5810, Acc.animal: 0.5737, Acc.bicycle: 0.7702, Acc.lake: 0.6363, Acc.dishwasher: 0.8449, Acc.screen: 0.8414, Acc.blanket: 0.3540, Acc.sculpture: 0.8661, Acc.hood: 0.9195, Acc.sconce: 0.7321, Acc.vase: 0.6826, Acc.traffic light: 0.6876, Acc.tray: 0.3089, Acc.ashcan: 0.6620, Acc.fan: 0.8561, Acc.pier: 0.4542, Acc.crt screen: 0.0831, Acc.plate: 0.7378, Acc.monitor: 0.1198, Acc.bulletin board: 0.8068, Acc.shower: 0.2113, Acc.radiator: 0.8113, Acc.glass: 0.2335, Acc.clock: 0.7057, Acc.flag: 0.5233 2023-11-12 18:27:23,770 - mmseg - INFO - Iter [142050/160000] lr: 1.122e-05, eta: 2:29:22, time: 0.865, data_time: 0.398, memory: 41146, decode.loss_cls: 0.1338, decode.loss_mask: 0.3942, decode.loss_dice: 0.6151, decode.d0.loss_cls: 1.0921, decode.d0.loss_mask: 0.4264, decode.d0.loss_dice: 0.6643, decode.d1.loss_cls: 0.1988, decode.d1.loss_mask: 0.4041, decode.d1.loss_dice: 0.6422, decode.d2.loss_cls: 0.1675, decode.d2.loss_mask: 0.3987, decode.d2.loss_dice: 0.6273, decode.d3.loss_cls: 0.1528, decode.d3.loss_mask: 0.3966, decode.d3.loss_dice: 0.6213, decode.d4.loss_cls: 0.1441, decode.d4.loss_mask: 0.3962, decode.d4.loss_dice: 0.6180, decode.d5.loss_cls: 0.1412, decode.d5.loss_mask: 0.3956, decode.d5.loss_dice: 0.6186, decode.d6.loss_cls: 0.1423, decode.d6.loss_mask: 0.3945, decode.d6.loss_dice: 0.6155, decode.d7.loss_cls: 0.1360, decode.d7.loss_mask: 0.3944, decode.d7.loss_dice: 0.6138, decode.d8.loss_cls: 0.1334, decode.d8.loss_mask: 0.3946, decode.d8.loss_dice: 0.6163, loss: 12.6900, grad_norm: 43.4634 2023-11-12 18:27:47,327 - mmseg - INFO - Iter [142100/160000] lr: 1.119e-05, eta: 2:28:57, time: 0.471, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1326, decode.loss_mask: 0.4030, decode.loss_dice: 0.6274, decode.d0.loss_cls: 1.0916, decode.d0.loss_mask: 0.4303, decode.d0.loss_dice: 0.6782, decode.d1.loss_cls: 0.1955, decode.d1.loss_mask: 0.4138, decode.d1.loss_dice: 0.6552, decode.d2.loss_cls: 0.1718, decode.d2.loss_mask: 0.4087, decode.d2.loss_dice: 0.6410, decode.d3.loss_cls: 0.1564, decode.d3.loss_mask: 0.4056, decode.d3.loss_dice: 0.6320, decode.d4.loss_cls: 0.1473, decode.d4.loss_mask: 0.4043, decode.d4.loss_dice: 0.6307, decode.d5.loss_cls: 0.1463, decode.d5.loss_mask: 0.4018, decode.d5.loss_dice: 0.6309, decode.d6.loss_cls: 0.1436, decode.d6.loss_mask: 0.4027, decode.d6.loss_dice: 0.6282, decode.d7.loss_cls: 0.1391, decode.d7.loss_mask: 0.4027, decode.d7.loss_dice: 0.6301, decode.d8.loss_cls: 0.1372, decode.d8.loss_mask: 0.4026, decode.d8.loss_dice: 0.6295, loss: 12.9202, grad_norm: 44.8830 2023-11-12 18:28:11,139 - mmseg - INFO - Iter [142150/160000] lr: 1.116e-05, eta: 2:28:31, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1346, decode.loss_mask: 0.4065, decode.loss_dice: 0.6360, decode.d0.loss_cls: 1.0845, decode.d0.loss_mask: 0.4387, decode.d0.loss_dice: 0.6892, decode.d1.loss_cls: 0.1952, decode.d1.loss_mask: 0.4176, decode.d1.loss_dice: 0.6636, decode.d2.loss_cls: 0.1608, decode.d2.loss_mask: 0.4112, decode.d2.loss_dice: 0.6487, decode.d3.loss_cls: 0.1477, decode.d3.loss_mask: 0.4088, decode.d3.loss_dice: 0.6404, decode.d4.loss_cls: 0.1428, decode.d4.loss_mask: 0.4084, decode.d4.loss_dice: 0.6360, decode.d5.loss_cls: 0.1389, decode.d5.loss_mask: 0.4084, decode.d5.loss_dice: 0.6395, decode.d6.loss_cls: 0.1416, decode.d6.loss_mask: 0.4075, decode.d6.loss_dice: 0.6377, decode.d7.loss_cls: 0.1358, decode.d7.loss_mask: 0.4073, decode.d7.loss_dice: 0.6389, decode.d8.loss_cls: 0.1378, decode.d8.loss_mask: 0.4063, decode.d8.loss_dice: 0.6351, loss: 13.0055, grad_norm: 43.9133 2023-11-12 18:28:35,139 - mmseg - INFO - Iter [142200/160000] lr: 1.113e-05, eta: 2:28:06, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1446, decode.loss_mask: 0.4049, decode.loss_dice: 0.6185, decode.d0.loss_cls: 1.1075, decode.d0.loss_mask: 0.4362, decode.d0.loss_dice: 0.6716, decode.d1.loss_cls: 0.2085, decode.d1.loss_mask: 0.4159, decode.d1.loss_dice: 0.6545, decode.d2.loss_cls: 0.1768, decode.d2.loss_mask: 0.4094, decode.d2.loss_dice: 0.6371, decode.d3.loss_cls: 0.1578, decode.d3.loss_mask: 0.4075, decode.d3.loss_dice: 0.6231, decode.d4.loss_cls: 0.1514, decode.d4.loss_mask: 0.4066, decode.d4.loss_dice: 0.6214, decode.d5.loss_cls: 0.1498, decode.d5.loss_mask: 0.4077, decode.d5.loss_dice: 0.6231, decode.d6.loss_cls: 0.1467, decode.d6.loss_mask: 0.4062, decode.d6.loss_dice: 0.6185, decode.d7.loss_cls: 0.1452, decode.d7.loss_mask: 0.4067, decode.d7.loss_dice: 0.6172, decode.d8.loss_cls: 0.1424, decode.d8.loss_mask: 0.4061, decode.d8.loss_dice: 0.6168, loss: 12.9395, grad_norm: 45.2616 2023-11-12 18:28:58,690 - mmseg - INFO - Iter [142250/160000] lr: 1.109e-05, eta: 2:27:41, time: 0.473, data_time: 0.015, memory: 41146, decode.loss_cls: 0.1389, decode.loss_mask: 0.3940, decode.loss_dice: 0.6159, decode.d0.loss_cls: 1.1052, decode.d0.loss_mask: 0.4208, decode.d0.loss_dice: 0.6818, decode.d1.loss_cls: 0.1974, decode.d1.loss_mask: 0.4049, decode.d1.loss_dice: 0.6469, decode.d2.loss_cls: 0.1749, decode.d2.loss_mask: 0.3986, decode.d2.loss_dice: 0.6353, decode.d3.loss_cls: 0.1612, decode.d3.loss_mask: 0.3962, decode.d3.loss_dice: 0.6221, decode.d4.loss_cls: 0.1540, decode.d4.loss_mask: 0.3979, decode.d4.loss_dice: 0.6236, decode.d5.loss_cls: 0.1443, decode.d5.loss_mask: 0.3965, decode.d5.loss_dice: 0.6206, decode.d6.loss_cls: 0.1409, decode.d6.loss_mask: 0.3959, decode.d6.loss_dice: 0.6230, decode.d7.loss_cls: 0.1452, decode.d7.loss_mask: 0.3939, decode.d7.loss_dice: 0.6141, decode.d8.loss_cls: 0.1420, decode.d8.loss_mask: 0.3962, decode.d8.loss_dice: 0.6190, loss: 12.8013, grad_norm: 42.7639 2023-11-12 18:29:22,241 - mmseg - INFO - Iter [142300/160000] lr: 1.106e-05, eta: 2:27:16, time: 0.471, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1372, decode.loss_mask: 0.4251, decode.loss_dice: 0.6444, decode.d0.loss_cls: 1.0618, decode.d0.loss_mask: 0.4544, decode.d0.loss_dice: 0.6904, decode.d1.loss_cls: 0.1916, decode.d1.loss_mask: 0.4364, decode.d1.loss_dice: 0.6637, decode.d2.loss_cls: 0.1591, decode.d2.loss_mask: 0.4309, decode.d2.loss_dice: 0.6537, decode.d3.loss_cls: 0.1542, decode.d3.loss_mask: 0.4278, decode.d3.loss_dice: 0.6459, decode.d4.loss_cls: 0.1438, decode.d4.loss_mask: 0.4295, decode.d4.loss_dice: 0.6459, decode.d5.loss_cls: 0.1437, decode.d5.loss_mask: 0.4258, decode.d5.loss_dice: 0.6447, decode.d6.loss_cls: 0.1360, decode.d6.loss_mask: 0.4257, decode.d6.loss_dice: 0.6415, decode.d7.loss_cls: 0.1373, decode.d7.loss_mask: 0.4247, decode.d7.loss_dice: 0.6449, decode.d8.loss_cls: 0.1355, decode.d8.loss_mask: 0.4255, decode.d8.loss_dice: 0.6439, loss: 13.2251, grad_norm: 48.9242 2023-11-12 18:29:46,209 - mmseg - INFO - Iter [142350/160000] lr: 1.103e-05, eta: 2:26:51, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1309, decode.loss_mask: 0.4121, decode.loss_dice: 0.6032, decode.d0.loss_cls: 1.0439, decode.d0.loss_mask: 0.4410, decode.d0.loss_dice: 0.6465, decode.d1.loss_cls: 0.1789, decode.d1.loss_mask: 0.4191, decode.d1.loss_dice: 0.6247, decode.d2.loss_cls: 0.1536, decode.d2.loss_mask: 0.4154, decode.d2.loss_dice: 0.6145, decode.d3.loss_cls: 0.1472, decode.d3.loss_mask: 0.4139, decode.d3.loss_dice: 0.6054, decode.d4.loss_cls: 0.1395, decode.d4.loss_mask: 0.4124, decode.d4.loss_dice: 0.6079, decode.d5.loss_cls: 0.1360, decode.d5.loss_mask: 0.4115, decode.d5.loss_dice: 0.6046, decode.d6.loss_cls: 0.1332, decode.d6.loss_mask: 0.4107, decode.d6.loss_dice: 0.6018, decode.d7.loss_cls: 0.1294, decode.d7.loss_mask: 0.4117, decode.d7.loss_dice: 0.6021, decode.d8.loss_cls: 0.1324, decode.d8.loss_mask: 0.4115, decode.d8.loss_dice: 0.6029, loss: 12.5979, grad_norm: 45.7472 2023-11-12 18:30:09,976 - mmseg - INFO - Iter [142400/160000] lr: 1.100e-05, eta: 2:26:26, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1354, decode.loss_mask: 0.4080, decode.loss_dice: 0.6108, decode.d0.loss_cls: 1.1136, decode.d0.loss_mask: 0.4417, decode.d0.loss_dice: 0.6614, decode.d1.loss_cls: 0.1920, decode.d1.loss_mask: 0.4159, decode.d1.loss_dice: 0.6319, decode.d2.loss_cls: 0.1619, decode.d2.loss_mask: 0.4134, decode.d2.loss_dice: 0.6245, decode.d3.loss_cls: 0.1509, decode.d3.loss_mask: 0.4100, decode.d3.loss_dice: 0.6102, decode.d4.loss_cls: 0.1449, decode.d4.loss_mask: 0.4091, decode.d4.loss_dice: 0.6096, decode.d5.loss_cls: 0.1426, decode.d5.loss_mask: 0.4085, decode.d5.loss_dice: 0.6152, decode.d6.loss_cls: 0.1383, decode.d6.loss_mask: 0.4078, decode.d6.loss_dice: 0.6092, decode.d7.loss_cls: 0.1399, decode.d7.loss_mask: 0.4079, decode.d7.loss_dice: 0.6090, decode.d8.loss_cls: 0.1351, decode.d8.loss_mask: 0.4080, decode.d8.loss_dice: 0.6094, loss: 12.7760, grad_norm: 46.9289 2023-11-12 18:30:33,740 - mmseg - INFO - Iter [142450/160000] lr: 1.097e-05, eta: 2:26:01, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1385, decode.loss_mask: 0.4110, decode.loss_dice: 0.6216, decode.d0.loss_cls: 1.0873, decode.d0.loss_mask: 0.4452, decode.d0.loss_dice: 0.6768, decode.d1.loss_cls: 0.1865, decode.d1.loss_mask: 0.4274, decode.d1.loss_dice: 0.6527, decode.d2.loss_cls: 0.1682, decode.d2.loss_mask: 0.4182, decode.d2.loss_dice: 0.6390, decode.d3.loss_cls: 0.1544, decode.d3.loss_mask: 0.4143, decode.d3.loss_dice: 0.6301, decode.d4.loss_cls: 0.1517, decode.d4.loss_mask: 0.4131, decode.d4.loss_dice: 0.6239, decode.d5.loss_cls: 0.1444, decode.d5.loss_mask: 0.4126, decode.d5.loss_dice: 0.6298, decode.d6.loss_cls: 0.1461, decode.d6.loss_mask: 0.4118, decode.d6.loss_dice: 0.6247, decode.d7.loss_cls: 0.1384, decode.d7.loss_mask: 0.4124, decode.d7.loss_dice: 0.6267, decode.d8.loss_cls: 0.1351, decode.d8.loss_mask: 0.4116, decode.d8.loss_dice: 0.6244, loss: 12.9780, grad_norm: 46.5524 2023-11-12 18:30:57,372 - mmseg - INFO - Iter [142500/160000] lr: 1.094e-05, eta: 2:25:36, time: 0.473, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1405, decode.loss_mask: 0.4100, decode.loss_dice: 0.6104, decode.d0.loss_cls: 1.0984, decode.d0.loss_mask: 0.4364, decode.d0.loss_dice: 0.6571, decode.d1.loss_cls: 0.1976, decode.d1.loss_mask: 0.4197, decode.d1.loss_dice: 0.6367, decode.d2.loss_cls: 0.1712, decode.d2.loss_mask: 0.4137, decode.d2.loss_dice: 0.6242, decode.d3.loss_cls: 0.1556, decode.d3.loss_mask: 0.4104, decode.d3.loss_dice: 0.6165, decode.d4.loss_cls: 0.1484, decode.d4.loss_mask: 0.4101, decode.d4.loss_dice: 0.6128, decode.d5.loss_cls: 0.1496, decode.d5.loss_mask: 0.4102, decode.d5.loss_dice: 0.6147, decode.d6.loss_cls: 0.1455, decode.d6.loss_mask: 0.4102, decode.d6.loss_dice: 0.6098, decode.d7.loss_cls: 0.1417, decode.d7.loss_mask: 0.4099, decode.d7.loss_dice: 0.6094, decode.d8.loss_cls: 0.1380, decode.d8.loss_mask: 0.4116, decode.d8.loss_dice: 0.6125, loss: 12.8328, grad_norm: 46.8892 2023-11-12 18:31:20,990 - mmseg - INFO - Iter [142550/160000] lr: 1.091e-05, eta: 2:25:11, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1402, decode.loss_mask: 0.3968, decode.loss_dice: 0.6010, decode.d0.loss_cls: 1.0831, decode.d0.loss_mask: 0.4279, decode.d0.loss_dice: 0.6512, decode.d1.loss_cls: 0.1907, decode.d1.loss_mask: 0.4109, decode.d1.loss_dice: 0.6308, decode.d2.loss_cls: 0.1575, decode.d2.loss_mask: 0.4052, decode.d2.loss_dice: 0.6174, decode.d3.loss_cls: 0.1546, decode.d3.loss_mask: 0.4004, decode.d3.loss_dice: 0.6082, decode.d4.loss_cls: 0.1527, decode.d4.loss_mask: 0.3992, decode.d4.loss_dice: 0.6060, decode.d5.loss_cls: 0.1429, decode.d5.loss_mask: 0.3988, decode.d5.loss_dice: 0.6070, decode.d6.loss_cls: 0.1414, decode.d6.loss_mask: 0.3980, decode.d6.loss_dice: 0.6102, decode.d7.loss_cls: 0.1390, decode.d7.loss_mask: 0.3978, decode.d7.loss_dice: 0.6053, decode.d8.loss_cls: 0.1396, decode.d8.loss_mask: 0.3966, decode.d8.loss_dice: 0.6060, loss: 12.6165, grad_norm: 46.3953 2023-11-12 18:31:44,622 - mmseg - INFO - Iter [142600/160000] lr: 1.088e-05, eta: 2:24:45, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1436, decode.loss_mask: 0.4193, decode.loss_dice: 0.6137, decode.d0.loss_cls: 1.1001, decode.d0.loss_mask: 0.4532, decode.d0.loss_dice: 0.6602, decode.d1.loss_cls: 0.2021, decode.d1.loss_mask: 0.4320, decode.d1.loss_dice: 0.6406, decode.d2.loss_cls: 0.1733, decode.d2.loss_mask: 0.4268, decode.d2.loss_dice: 0.6280, decode.d3.loss_cls: 0.1645, decode.d3.loss_mask: 0.4224, decode.d3.loss_dice: 0.6193, decode.d4.loss_cls: 0.1533, decode.d4.loss_mask: 0.4211, decode.d4.loss_dice: 0.6170, decode.d5.loss_cls: 0.1488, decode.d5.loss_mask: 0.4215, decode.d5.loss_dice: 0.6180, decode.d6.loss_cls: 0.1491, decode.d6.loss_mask: 0.4196, decode.d6.loss_dice: 0.6122, decode.d7.loss_cls: 0.1438, decode.d7.loss_mask: 0.4189, decode.d7.loss_dice: 0.6113, decode.d8.loss_cls: 0.1447, decode.d8.loss_mask: 0.4181, decode.d8.loss_dice: 0.6115, loss: 13.0079, grad_norm: 45.9208 2023-11-12 18:32:08,426 - mmseg - INFO - Iter [142650/160000] lr: 1.084e-05, eta: 2:24:20, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1302, decode.loss_mask: 0.3870, decode.loss_dice: 0.5930, decode.d0.loss_cls: 1.0701, decode.d0.loss_mask: 0.4188, decode.d0.loss_dice: 0.6442, decode.d1.loss_cls: 0.1895, decode.d1.loss_mask: 0.3972, decode.d1.loss_dice: 0.6193, decode.d2.loss_cls: 0.1577, decode.d2.loss_mask: 0.3924, decode.d2.loss_dice: 0.6083, decode.d3.loss_cls: 0.1403, decode.d3.loss_mask: 0.3901, decode.d3.loss_dice: 0.6024, decode.d4.loss_cls: 0.1384, decode.d4.loss_mask: 0.3909, decode.d4.loss_dice: 0.5978, decode.d5.loss_cls: 0.1337, decode.d5.loss_mask: 0.3901, decode.d5.loss_dice: 0.5965, decode.d6.loss_cls: 0.1314, decode.d6.loss_mask: 0.3893, decode.d6.loss_dice: 0.5957, decode.d7.loss_cls: 0.1285, decode.d7.loss_mask: 0.3897, decode.d7.loss_dice: 0.5946, decode.d8.loss_cls: 0.1300, decode.d8.loss_mask: 0.3871, decode.d8.loss_dice: 0.5912, loss: 12.3257, grad_norm: 44.4463 2023-11-12 18:32:32,119 - mmseg - INFO - Iter [142700/160000] lr: 1.081e-05, eta: 2:23:55, time: 0.474, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1368, decode.loss_mask: 0.3924, decode.loss_dice: 0.6279, decode.d0.loss_cls: 1.1064, decode.d0.loss_mask: 0.4211, decode.d0.loss_dice: 0.6695, decode.d1.loss_cls: 0.1993, decode.d1.loss_mask: 0.4058, decode.d1.loss_dice: 0.6456, decode.d2.loss_cls: 0.1645, decode.d2.loss_mask: 0.3971, decode.d2.loss_dice: 0.6388, decode.d3.loss_cls: 0.1540, decode.d3.loss_mask: 0.3952, decode.d3.loss_dice: 0.6290, decode.d4.loss_cls: 0.1476, decode.d4.loss_mask: 0.3940, decode.d4.loss_dice: 0.6293, decode.d5.loss_cls: 0.1445, decode.d5.loss_mask: 0.3930, decode.d5.loss_dice: 0.6280, decode.d6.loss_cls: 0.1458, decode.d6.loss_mask: 0.3924, decode.d6.loss_dice: 0.6239, decode.d7.loss_cls: 0.1434, decode.d7.loss_mask: 0.3922, decode.d7.loss_dice: 0.6266, decode.d8.loss_cls: 0.1391, decode.d8.loss_mask: 0.3921, decode.d8.loss_dice: 0.6280, loss: 12.8034, grad_norm: 47.3599 2023-11-12 18:32:58,268 - mmseg - INFO - Iter [142750/160000] lr: 1.078e-05, eta: 2:23:30, time: 0.523, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1340, decode.loss_mask: 0.4062, decode.loss_dice: 0.6178, decode.d0.loss_cls: 1.1064, decode.d0.loss_mask: 0.4358, decode.d0.loss_dice: 0.6629, decode.d1.loss_cls: 0.1964, decode.d1.loss_mask: 0.4175, decode.d1.loss_dice: 0.6421, decode.d2.loss_cls: 0.1689, decode.d2.loss_mask: 0.4095, decode.d2.loss_dice: 0.6299, decode.d3.loss_cls: 0.1512, decode.d3.loss_mask: 0.4084, decode.d3.loss_dice: 0.6220, decode.d4.loss_cls: 0.1446, decode.d4.loss_mask: 0.4076, decode.d4.loss_dice: 0.6219, decode.d5.loss_cls: 0.1425, decode.d5.loss_mask: 0.4075, decode.d5.loss_dice: 0.6186, decode.d6.loss_cls: 0.1395, decode.d6.loss_mask: 0.4054, decode.d6.loss_dice: 0.6178, decode.d7.loss_cls: 0.1361, decode.d7.loss_mask: 0.4064, decode.d7.loss_dice: 0.6206, decode.d8.loss_cls: 0.1369, decode.d8.loss_mask: 0.4059, decode.d8.loss_dice: 0.6160, loss: 12.8363, grad_norm: 42.5650 2023-11-12 18:33:22,223 - mmseg - INFO - Iter [142800/160000] lr: 1.075e-05, eta: 2:23:05, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1425, decode.loss_mask: 0.4145, decode.loss_dice: 0.6244, decode.d0.loss_cls: 1.0958, decode.d0.loss_mask: 0.4433, decode.d0.loss_dice: 0.6746, decode.d1.loss_cls: 0.2029, decode.d1.loss_mask: 0.4256, decode.d1.loss_dice: 0.6527, decode.d2.loss_cls: 0.1769, decode.d2.loss_mask: 0.4190, decode.d2.loss_dice: 0.6376, decode.d3.loss_cls: 0.1649, decode.d3.loss_mask: 0.4146, decode.d3.loss_dice: 0.6250, decode.d4.loss_cls: 0.1582, decode.d4.loss_mask: 0.4155, decode.d4.loss_dice: 0.6305, decode.d5.loss_cls: 0.1506, decode.d5.loss_mask: 0.4143, decode.d5.loss_dice: 0.6223, decode.d6.loss_cls: 0.1476, decode.d6.loss_mask: 0.4138, decode.d6.loss_dice: 0.6172, decode.d7.loss_cls: 0.1432, decode.d7.loss_mask: 0.4141, decode.d7.loss_dice: 0.6231, decode.d8.loss_cls: 0.1450, decode.d8.loss_mask: 0.4143, decode.d8.loss_dice: 0.6204, loss: 13.0446, grad_norm: 46.7834 2023-11-12 18:33:46,013 - mmseg - INFO - Iter [142850/160000] lr: 1.072e-05, eta: 2:22:40, time: 0.477, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1434, decode.loss_mask: 0.3979, decode.loss_dice: 0.6115, decode.d0.loss_cls: 1.1037, decode.d0.loss_mask: 0.4229, decode.d0.loss_dice: 0.6533, decode.d1.loss_cls: 0.1918, decode.d1.loss_mask: 0.4066, decode.d1.loss_dice: 0.6366, decode.d2.loss_cls: 0.1672, decode.d2.loss_mask: 0.4006, decode.d2.loss_dice: 0.6229, decode.d3.loss_cls: 0.1609, decode.d3.loss_mask: 0.4003, decode.d3.loss_dice: 0.6155, decode.d4.loss_cls: 0.1519, decode.d4.loss_mask: 0.4006, decode.d4.loss_dice: 0.6118, decode.d5.loss_cls: 0.1491, decode.d5.loss_mask: 0.3995, decode.d5.loss_dice: 0.6093, decode.d6.loss_cls: 0.1438, decode.d6.loss_mask: 0.3968, decode.d6.loss_dice: 0.6102, decode.d7.loss_cls: 0.1403, decode.d7.loss_mask: 0.3991, decode.d7.loss_dice: 0.6120, decode.d8.loss_cls: 0.1415, decode.d8.loss_mask: 0.3994, decode.d8.loss_dice: 0.6155, loss: 12.7158, grad_norm: 44.1086 2023-11-12 18:34:09,673 - mmseg - INFO - Iter [142900/160000] lr: 1.069e-05, eta: 2:22:15, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1252, decode.loss_mask: 0.3948, decode.loss_dice: 0.6038, decode.d0.loss_cls: 1.0762, decode.d0.loss_mask: 0.4213, decode.d0.loss_dice: 0.6420, decode.d1.loss_cls: 0.1683, decode.d1.loss_mask: 0.4073, decode.d1.loss_dice: 0.6246, decode.d2.loss_cls: 0.1483, decode.d2.loss_mask: 0.4011, decode.d2.loss_dice: 0.6165, decode.d3.loss_cls: 0.1385, decode.d3.loss_mask: 0.3971, decode.d3.loss_dice: 0.6068, decode.d4.loss_cls: 0.1326, decode.d4.loss_mask: 0.3966, decode.d4.loss_dice: 0.6075, decode.d5.loss_cls: 0.1312, decode.d5.loss_mask: 0.3960, decode.d5.loss_dice: 0.6007, decode.d6.loss_cls: 0.1296, decode.d6.loss_mask: 0.3964, decode.d6.loss_dice: 0.6038, decode.d7.loss_cls: 0.1328, decode.d7.loss_mask: 0.3956, decode.d7.loss_dice: 0.6026, decode.d8.loss_cls: 0.1246, decode.d8.loss_mask: 0.3957, decode.d8.loss_dice: 0.6020, loss: 12.4196, grad_norm: 42.4830 2023-11-12 18:34:33,320 - mmseg - INFO - Iter [142950/160000] lr: 1.066e-05, eta: 2:21:50, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1264, decode.loss_mask: 0.4066, decode.loss_dice: 0.6228, decode.d0.loss_cls: 1.0968, decode.d0.loss_mask: 0.4362, decode.d0.loss_dice: 0.6673, decode.d1.loss_cls: 0.1840, decode.d1.loss_mask: 0.4220, decode.d1.loss_dice: 0.6480, decode.d2.loss_cls: 0.1594, decode.d2.loss_mask: 0.4137, decode.d2.loss_dice: 0.6327, decode.d3.loss_cls: 0.1473, decode.d3.loss_mask: 0.4097, decode.d3.loss_dice: 0.6229, decode.d4.loss_cls: 0.1350, decode.d4.loss_mask: 0.4080, decode.d4.loss_dice: 0.6262, decode.d5.loss_cls: 0.1310, decode.d5.loss_mask: 0.4077, decode.d5.loss_dice: 0.6218, decode.d6.loss_cls: 0.1326, decode.d6.loss_mask: 0.4068, decode.d6.loss_dice: 0.6204, decode.d7.loss_cls: 0.1304, decode.d7.loss_mask: 0.4063, decode.d7.loss_dice: 0.6199, decode.d8.loss_cls: 0.1262, decode.d8.loss_mask: 0.4064, decode.d8.loss_dice: 0.6224, loss: 12.7970, grad_norm: 48.1221 2023-11-12 18:34:56,953 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 18:34:56,953 - mmseg - INFO - Iter [143000/160000] lr: 1.063e-05, eta: 2:21:25, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1497, decode.loss_mask: 0.4109, decode.loss_dice: 0.6130, decode.d0.loss_cls: 1.0965, decode.d0.loss_mask: 0.4408, decode.d0.loss_dice: 0.6724, decode.d1.loss_cls: 0.2016, decode.d1.loss_mask: 0.4229, decode.d1.loss_dice: 0.6406, decode.d2.loss_cls: 0.1740, decode.d2.loss_mask: 0.4186, decode.d2.loss_dice: 0.6281, decode.d3.loss_cls: 0.1654, decode.d3.loss_mask: 0.4148, decode.d3.loss_dice: 0.6203, decode.d4.loss_cls: 0.1559, decode.d4.loss_mask: 0.4140, decode.d4.loss_dice: 0.6184, decode.d5.loss_cls: 0.1536, decode.d5.loss_mask: 0.4130, decode.d5.loss_dice: 0.6127, decode.d6.loss_cls: 0.1541, decode.d6.loss_mask: 0.4123, decode.d6.loss_dice: 0.6129, decode.d7.loss_cls: 0.1521, decode.d7.loss_mask: 0.4119, decode.d7.loss_dice: 0.6130, decode.d8.loss_cls: 0.1458, decode.d8.loss_mask: 0.4123, decode.d8.loss_dice: 0.6151, loss: 12.9666, grad_norm: 44.9847 2023-11-12 18:35:20,689 - mmseg - INFO - Iter [143050/160000] lr: 1.059e-05, eta: 2:21:00, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1300, decode.loss_mask: 0.4074, decode.loss_dice: 0.6329, decode.d0.loss_cls: 1.0997, decode.d0.loss_mask: 0.4418, decode.d0.loss_dice: 0.6822, decode.d1.loss_cls: 0.1833, decode.d1.loss_mask: 0.4234, decode.d1.loss_dice: 0.6604, decode.d2.loss_cls: 0.1574, decode.d2.loss_mask: 0.4124, decode.d2.loss_dice: 0.6478, decode.d3.loss_cls: 0.1534, decode.d3.loss_mask: 0.4083, decode.d3.loss_dice: 0.6382, decode.d4.loss_cls: 0.1444, decode.d4.loss_mask: 0.4072, decode.d4.loss_dice: 0.6369, decode.d5.loss_cls: 0.1360, decode.d5.loss_mask: 0.4076, decode.d5.loss_dice: 0.6401, decode.d6.loss_cls: 0.1372, decode.d6.loss_mask: 0.4063, decode.d6.loss_dice: 0.6319, decode.d7.loss_cls: 0.1317, decode.d7.loss_mask: 0.4057, decode.d7.loss_dice: 0.6286, decode.d8.loss_cls: 0.1344, decode.d8.loss_mask: 0.4072, decode.d8.loss_dice: 0.6330, loss: 12.9670, grad_norm: 45.0617 2023-11-12 18:35:44,436 - mmseg - INFO - Iter [143100/160000] lr: 1.056e-05, eta: 2:20:35, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1418, decode.loss_mask: 0.4050, decode.loss_dice: 0.6308, decode.d0.loss_cls: 1.0955, decode.d0.loss_mask: 0.4351, decode.d0.loss_dice: 0.6985, decode.d1.loss_cls: 0.2057, decode.d1.loss_mask: 0.4175, decode.d1.loss_dice: 0.6663, decode.d2.loss_cls: 0.1771, decode.d2.loss_mask: 0.4102, decode.d2.loss_dice: 0.6534, decode.d3.loss_cls: 0.1646, decode.d3.loss_mask: 0.4073, decode.d3.loss_dice: 0.6399, decode.d4.loss_cls: 0.1521, decode.d4.loss_mask: 0.4067, decode.d4.loss_dice: 0.6394, decode.d5.loss_cls: 0.1495, decode.d5.loss_mask: 0.4068, decode.d5.loss_dice: 0.6413, decode.d6.loss_cls: 0.1468, decode.d6.loss_mask: 0.4054, decode.d6.loss_dice: 0.6359, decode.d7.loss_cls: 0.1453, decode.d7.loss_mask: 0.4049, decode.d7.loss_dice: 0.6364, decode.d8.loss_cls: 0.1444, decode.d8.loss_mask: 0.4042, decode.d8.loss_dice: 0.6348, loss: 13.1027, grad_norm: 46.6278 2023-11-12 18:36:08,165 - mmseg - INFO - Iter [143150/160000] lr: 1.053e-05, eta: 2:20:10, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1377, decode.loss_mask: 0.4048, decode.loss_dice: 0.6090, decode.d0.loss_cls: 1.0948, decode.d0.loss_mask: 0.4364, decode.d0.loss_dice: 0.6682, decode.d1.loss_cls: 0.1985, decode.d1.loss_mask: 0.4173, decode.d1.loss_dice: 0.6416, decode.d2.loss_cls: 0.1662, decode.d2.loss_mask: 0.4082, decode.d2.loss_dice: 0.6256, decode.d3.loss_cls: 0.1533, decode.d3.loss_mask: 0.4064, decode.d3.loss_dice: 0.6151, decode.d4.loss_cls: 0.1465, decode.d4.loss_mask: 0.4062, decode.d4.loss_dice: 0.6132, decode.d5.loss_cls: 0.1430, decode.d5.loss_mask: 0.4059, decode.d5.loss_dice: 0.6142, decode.d6.loss_cls: 0.1365, decode.d6.loss_mask: 0.4046, decode.d6.loss_dice: 0.6103, decode.d7.loss_cls: 0.1352, decode.d7.loss_mask: 0.4057, decode.d7.loss_dice: 0.6131, decode.d8.loss_cls: 0.1379, decode.d8.loss_mask: 0.4050, decode.d8.loss_dice: 0.6111, loss: 12.7714, grad_norm: 41.2605 2023-11-12 18:36:32,152 - mmseg - INFO - Iter [143200/160000] lr: 1.050e-05, eta: 2:19:45, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1362, decode.loss_mask: 0.4076, decode.loss_dice: 0.6196, decode.d0.loss_cls: 1.0947, decode.d0.loss_mask: 0.4412, decode.d0.loss_dice: 0.6791, decode.d1.loss_cls: 0.1948, decode.d1.loss_mask: 0.4207, decode.d1.loss_dice: 0.6501, decode.d2.loss_cls: 0.1694, decode.d2.loss_mask: 0.4111, decode.d2.loss_dice: 0.6356, decode.d3.loss_cls: 0.1527, decode.d3.loss_mask: 0.4081, decode.d3.loss_dice: 0.6225, decode.d4.loss_cls: 0.1469, decode.d4.loss_mask: 0.4081, decode.d4.loss_dice: 0.6243, decode.d5.loss_cls: 0.1409, decode.d5.loss_mask: 0.4093, decode.d5.loss_dice: 0.6218, decode.d6.loss_cls: 0.1417, decode.d6.loss_mask: 0.4083, decode.d6.loss_dice: 0.6174, decode.d7.loss_cls: 0.1374, decode.d7.loss_mask: 0.4080, decode.d7.loss_dice: 0.6181, decode.d8.loss_cls: 0.1358, decode.d8.loss_mask: 0.4077, decode.d8.loss_dice: 0.6217, loss: 12.8908, grad_norm: 48.7663 2023-11-12 18:36:55,980 - mmseg - INFO - Iter [143250/160000] lr: 1.047e-05, eta: 2:19:19, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1449, decode.loss_mask: 0.3889, decode.loss_dice: 0.6137, decode.d0.loss_cls: 1.0766, decode.d0.loss_mask: 0.4207, decode.d0.loss_dice: 0.6729, decode.d1.loss_cls: 0.1985, decode.d1.loss_mask: 0.4030, decode.d1.loss_dice: 0.6421, decode.d2.loss_cls: 0.1684, decode.d2.loss_mask: 0.3956, decode.d2.loss_dice: 0.6322, decode.d3.loss_cls: 0.1635, decode.d3.loss_mask: 0.3911, decode.d3.loss_dice: 0.6164, decode.d4.loss_cls: 0.1520, decode.d4.loss_mask: 0.3909, decode.d4.loss_dice: 0.6182, decode.d5.loss_cls: 0.1432, decode.d5.loss_mask: 0.3903, decode.d5.loss_dice: 0.6180, decode.d6.loss_cls: 0.1435, decode.d6.loss_mask: 0.3885, decode.d6.loss_dice: 0.6131, decode.d7.loss_cls: 0.1408, decode.d7.loss_mask: 0.3894, decode.d7.loss_dice: 0.6128, decode.d8.loss_cls: 0.1399, decode.d8.loss_mask: 0.3900, decode.d8.loss_dice: 0.6145, loss: 12.6738, grad_norm: 44.8030 2023-11-12 18:37:19,684 - mmseg - INFO - Iter [143300/160000] lr: 1.044e-05, eta: 2:18:54, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1435, decode.loss_mask: 0.3983, decode.loss_dice: 0.6256, decode.d0.loss_cls: 1.1090, decode.d0.loss_mask: 0.4247, decode.d0.loss_dice: 0.6716, decode.d1.loss_cls: 0.2005, decode.d1.loss_mask: 0.4059, decode.d1.loss_dice: 0.6491, decode.d2.loss_cls: 0.1707, decode.d2.loss_mask: 0.4024, decode.d2.loss_dice: 0.6379, decode.d3.loss_cls: 0.1635, decode.d3.loss_mask: 0.4007, decode.d3.loss_dice: 0.6313, decode.d4.loss_cls: 0.1569, decode.d4.loss_mask: 0.3997, decode.d4.loss_dice: 0.6313, decode.d5.loss_cls: 0.1525, decode.d5.loss_mask: 0.3995, decode.d5.loss_dice: 0.6273, decode.d6.loss_cls: 0.1458, decode.d6.loss_mask: 0.3988, decode.d6.loss_dice: 0.6254, decode.d7.loss_cls: 0.1488, decode.d7.loss_mask: 0.3980, decode.d7.loss_dice: 0.6266, decode.d8.loss_cls: 0.1439, decode.d8.loss_mask: 0.3982, decode.d8.loss_dice: 0.6232, loss: 12.9105, grad_norm: 43.7976 2023-11-12 18:37:43,478 - mmseg - INFO - Iter [143350/160000] lr: 1.041e-05, eta: 2:18:29, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1365, decode.loss_mask: 0.3957, decode.loss_dice: 0.6248, decode.d0.loss_cls: 1.1029, decode.d0.loss_mask: 0.4229, decode.d0.loss_dice: 0.6706, decode.d1.loss_cls: 0.2010, decode.d1.loss_mask: 0.4045, decode.d1.loss_dice: 0.6463, decode.d2.loss_cls: 0.1670, decode.d2.loss_mask: 0.4011, decode.d2.loss_dice: 0.6331, decode.d3.loss_cls: 0.1518, decode.d3.loss_mask: 0.3977, decode.d3.loss_dice: 0.6279, decode.d4.loss_cls: 0.1432, decode.d4.loss_mask: 0.3958, decode.d4.loss_dice: 0.6298, decode.d5.loss_cls: 0.1394, decode.d5.loss_mask: 0.3954, decode.d5.loss_dice: 0.6255, decode.d6.loss_cls: 0.1382, decode.d6.loss_mask: 0.3957, decode.d6.loss_dice: 0.6250, decode.d7.loss_cls: 0.1373, decode.d7.loss_mask: 0.3957, decode.d7.loss_dice: 0.6228, decode.d8.loss_cls: 0.1348, decode.d8.loss_mask: 0.3951, decode.d8.loss_dice: 0.6207, loss: 12.7784, grad_norm: 43.6901 2023-11-12 18:38:07,052 - mmseg - INFO - Iter [143400/160000] lr: 1.038e-05, eta: 2:18:04, time: 0.471, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1418, decode.loss_mask: 0.3999, decode.loss_dice: 0.6169, decode.d0.loss_cls: 1.0826, decode.d0.loss_mask: 0.4313, decode.d0.loss_dice: 0.6647, decode.d1.loss_cls: 0.2014, decode.d1.loss_mask: 0.4091, decode.d1.loss_dice: 0.6433, decode.d2.loss_cls: 0.1707, decode.d2.loss_mask: 0.4037, decode.d2.loss_dice: 0.6301, decode.d3.loss_cls: 0.1552, decode.d3.loss_mask: 0.4012, decode.d3.loss_dice: 0.6220, decode.d4.loss_cls: 0.1537, decode.d4.loss_mask: 0.4010, decode.d4.loss_dice: 0.6219, decode.d5.loss_cls: 0.1473, decode.d5.loss_mask: 0.4010, decode.d5.loss_dice: 0.6216, decode.d6.loss_cls: 0.1456, decode.d6.loss_mask: 0.4002, decode.d6.loss_dice: 0.6213, decode.d7.loss_cls: 0.1452, decode.d7.loss_mask: 0.3995, decode.d7.loss_dice: 0.6184, decode.d8.loss_cls: 0.1426, decode.d8.loss_mask: 0.4000, decode.d8.loss_dice: 0.6177, loss: 12.8107, grad_norm: 44.3394 2023-11-12 18:38:30,791 - mmseg - INFO - Iter [143450/160000] lr: 1.034e-05, eta: 2:17:39, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1389, decode.loss_mask: 0.4132, decode.loss_dice: 0.6168, decode.d0.loss_cls: 1.0973, decode.d0.loss_mask: 0.4457, decode.d0.loss_dice: 0.6626, decode.d1.loss_cls: 0.1981, decode.d1.loss_mask: 0.4272, decode.d1.loss_dice: 0.6397, decode.d2.loss_cls: 0.1652, decode.d2.loss_mask: 0.4191, decode.d2.loss_dice: 0.6291, decode.d3.loss_cls: 0.1535, decode.d3.loss_mask: 0.4151, decode.d3.loss_dice: 0.6206, decode.d4.loss_cls: 0.1489, decode.d4.loss_mask: 0.4140, decode.d4.loss_dice: 0.6181, decode.d5.loss_cls: 0.1456, decode.d5.loss_mask: 0.4129, decode.d5.loss_dice: 0.6182, decode.d6.loss_cls: 0.1430, decode.d6.loss_mask: 0.4133, decode.d6.loss_dice: 0.6150, decode.d7.loss_cls: 0.1398, decode.d7.loss_mask: 0.4123, decode.d7.loss_dice: 0.6141, decode.d8.loss_cls: 0.1355, decode.d8.loss_mask: 0.4123, decode.d8.loss_dice: 0.6157, loss: 12.9010, grad_norm: 47.7391 2023-11-12 18:38:54,435 - mmseg - INFO - Iter [143500/160000] lr: 1.031e-05, eta: 2:17:14, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1499, decode.loss_mask: 0.4005, decode.loss_dice: 0.6273, decode.d0.loss_cls: 1.1130, decode.d0.loss_mask: 0.4294, decode.d0.loss_dice: 0.6848, decode.d1.loss_cls: 0.2088, decode.d1.loss_mask: 0.4115, decode.d1.loss_dice: 0.6577, decode.d2.loss_cls: 0.1732, decode.d2.loss_mask: 0.4067, decode.d2.loss_dice: 0.6434, decode.d3.loss_cls: 0.1632, decode.d3.loss_mask: 0.4026, decode.d3.loss_dice: 0.6320, decode.d4.loss_cls: 0.1578, decode.d4.loss_mask: 0.4022, decode.d4.loss_dice: 0.6366, decode.d5.loss_cls: 0.1573, decode.d5.loss_mask: 0.4036, decode.d5.loss_dice: 0.6321, decode.d6.loss_cls: 0.1554, decode.d6.loss_mask: 0.4022, decode.d6.loss_dice: 0.6284, decode.d7.loss_cls: 0.1517, decode.d7.loss_mask: 0.4009, decode.d7.loss_dice: 0.6254, decode.d8.loss_cls: 0.1510, decode.d8.loss_mask: 0.4005, decode.d8.loss_dice: 0.6273, loss: 13.0365, grad_norm: 43.1158 2023-11-12 18:39:18,125 - mmseg - INFO - Iter [143550/160000] lr: 1.028e-05, eta: 2:16:49, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1468, decode.loss_mask: 0.4046, decode.loss_dice: 0.6326, decode.d0.loss_cls: 1.0902, decode.d0.loss_mask: 0.4351, decode.d0.loss_dice: 0.6903, decode.d1.loss_cls: 0.1989, decode.d1.loss_mask: 0.4180, decode.d1.loss_dice: 0.6609, decode.d2.loss_cls: 0.1740, decode.d2.loss_mask: 0.4103, decode.d2.loss_dice: 0.6457, decode.d3.loss_cls: 0.1642, decode.d3.loss_mask: 0.4079, decode.d3.loss_dice: 0.6349, decode.d4.loss_cls: 0.1598, decode.d4.loss_mask: 0.4054, decode.d4.loss_dice: 0.6346, decode.d5.loss_cls: 0.1517, decode.d5.loss_mask: 0.4057, decode.d5.loss_dice: 0.6383, decode.d6.loss_cls: 0.1500, decode.d6.loss_mask: 0.4047, decode.d6.loss_dice: 0.6325, decode.d7.loss_cls: 0.1455, decode.d7.loss_mask: 0.4042, decode.d7.loss_dice: 0.6330, decode.d8.loss_cls: 0.1485, decode.d8.loss_mask: 0.4040, decode.d8.loss_dice: 0.6331, loss: 13.0654, grad_norm: 46.6658 2023-11-12 18:39:42,078 - mmseg - INFO - Iter [143600/160000] lr: 1.025e-05, eta: 2:16:24, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1373, decode.loss_mask: 0.4008, decode.loss_dice: 0.5978, decode.d0.loss_cls: 1.0753, decode.d0.loss_mask: 0.4345, decode.d0.loss_dice: 0.6562, decode.d1.loss_cls: 0.1935, decode.d1.loss_mask: 0.4120, decode.d1.loss_dice: 0.6270, decode.d2.loss_cls: 0.1636, decode.d2.loss_mask: 0.4067, decode.d2.loss_dice: 0.6149, decode.d3.loss_cls: 0.1550, decode.d3.loss_mask: 0.4036, decode.d3.loss_dice: 0.6039, decode.d4.loss_cls: 0.1500, decode.d4.loss_mask: 0.4009, decode.d4.loss_dice: 0.6022, decode.d5.loss_cls: 0.1449, decode.d5.loss_mask: 0.4001, decode.d5.loss_dice: 0.6051, decode.d6.loss_cls: 0.1416, decode.d6.loss_mask: 0.3996, decode.d6.loss_dice: 0.6008, decode.d7.loss_cls: 0.1401, decode.d7.loss_mask: 0.4011, decode.d7.loss_dice: 0.6029, decode.d8.loss_cls: 0.1400, decode.d8.loss_mask: 0.4014, decode.d8.loss_dice: 0.6033, loss: 12.6160, grad_norm: 46.4922 2023-11-12 18:40:05,869 - mmseg - INFO - Iter [143650/160000] lr: 1.022e-05, eta: 2:15:59, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1379, decode.loss_mask: 0.3954, decode.loss_dice: 0.6130, decode.d0.loss_cls: 1.0767, decode.d0.loss_mask: 0.4250, decode.d0.loss_dice: 0.6675, decode.d1.loss_cls: 0.1899, decode.d1.loss_mask: 0.4068, decode.d1.loss_dice: 0.6419, decode.d2.loss_cls: 0.1587, decode.d2.loss_mask: 0.4016, decode.d2.loss_dice: 0.6298, decode.d3.loss_cls: 0.1519, decode.d3.loss_mask: 0.3973, decode.d3.loss_dice: 0.6175, decode.d4.loss_cls: 0.1453, decode.d4.loss_mask: 0.3974, decode.d4.loss_dice: 0.6169, decode.d5.loss_cls: 0.1427, decode.d5.loss_mask: 0.3958, decode.d5.loss_dice: 0.6123, decode.d6.loss_cls: 0.1413, decode.d6.loss_mask: 0.3961, decode.d6.loss_dice: 0.6159, decode.d7.loss_cls: 0.1381, decode.d7.loss_mask: 0.3953, decode.d7.loss_dice: 0.6137, decode.d8.loss_cls: 0.1381, decode.d8.loss_mask: 0.3961, decode.d8.loss_dice: 0.6134, loss: 12.6691, grad_norm: 44.4101 2023-11-12 18:40:29,556 - mmseg - INFO - Iter [143700/160000] lr: 1.019e-05, eta: 2:15:34, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1322, decode.loss_mask: 0.4013, decode.loss_dice: 0.6102, decode.d0.loss_cls: 1.0846, decode.d0.loss_mask: 0.4288, decode.d0.loss_dice: 0.6614, decode.d1.loss_cls: 0.1918, decode.d1.loss_mask: 0.4118, decode.d1.loss_dice: 0.6392, decode.d2.loss_cls: 0.1632, decode.d2.loss_mask: 0.4048, decode.d2.loss_dice: 0.6244, decode.d3.loss_cls: 0.1494, decode.d3.loss_mask: 0.4051, decode.d3.loss_dice: 0.6161, decode.d4.loss_cls: 0.1446, decode.d4.loss_mask: 0.4029, decode.d4.loss_dice: 0.6144, decode.d5.loss_cls: 0.1390, decode.d5.loss_mask: 0.4021, decode.d5.loss_dice: 0.6153, decode.d6.loss_cls: 0.1384, decode.d6.loss_mask: 0.4013, decode.d6.loss_dice: 0.6165, decode.d7.loss_cls: 0.1374, decode.d7.loss_mask: 0.4016, decode.d7.loss_dice: 0.6144, decode.d8.loss_cls: 0.1321, decode.d8.loss_mask: 0.4017, decode.d8.loss_dice: 0.6152, loss: 12.7012, grad_norm: 43.1591 2023-11-12 18:40:53,071 - mmseg - INFO - Iter [143750/160000] lr: 1.016e-05, eta: 2:15:08, time: 0.470, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1275, decode.loss_mask: 0.4056, decode.loss_dice: 0.6037, decode.d0.loss_cls: 1.0794, decode.d0.loss_mask: 0.4368, decode.d0.loss_dice: 0.6458, decode.d1.loss_cls: 0.1829, decode.d1.loss_mask: 0.4166, decode.d1.loss_dice: 0.6312, decode.d2.loss_cls: 0.1530, decode.d2.loss_mask: 0.4135, decode.d2.loss_dice: 0.6193, decode.d3.loss_cls: 0.1447, decode.d3.loss_mask: 0.4095, decode.d3.loss_dice: 0.6052, decode.d4.loss_cls: 0.1407, decode.d4.loss_mask: 0.4092, decode.d4.loss_dice: 0.6039, decode.d5.loss_cls: 0.1373, decode.d5.loss_mask: 0.4076, decode.d5.loss_dice: 0.6091, decode.d6.loss_cls: 0.1335, decode.d6.loss_mask: 0.4063, decode.d6.loss_dice: 0.6062, decode.d7.loss_cls: 0.1312, decode.d7.loss_mask: 0.4057, decode.d7.loss_dice: 0.6055, decode.d8.loss_cls: 0.1292, decode.d8.loss_mask: 0.4062, decode.d8.loss_dice: 0.6061, loss: 12.6124, grad_norm: 47.8208 2023-11-12 18:41:16,603 - mmseg - INFO - Iter [143800/160000] lr: 1.013e-05, eta: 2:14:43, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1310, decode.loss_mask: 0.4089, decode.loss_dice: 0.6182, decode.d0.loss_cls: 1.0751, decode.d0.loss_mask: 0.4370, decode.d0.loss_dice: 0.6667, decode.d1.loss_cls: 0.1879, decode.d1.loss_mask: 0.4204, decode.d1.loss_dice: 0.6424, decode.d2.loss_cls: 0.1615, decode.d2.loss_mask: 0.4138, decode.d2.loss_dice: 0.6286, decode.d3.loss_cls: 0.1546, decode.d3.loss_mask: 0.4112, decode.d3.loss_dice: 0.6210, decode.d4.loss_cls: 0.1414, decode.d4.loss_mask: 0.4094, decode.d4.loss_dice: 0.6202, decode.d5.loss_cls: 0.1404, decode.d5.loss_mask: 0.4100, decode.d5.loss_dice: 0.6171, decode.d6.loss_cls: 0.1400, decode.d6.loss_mask: 0.4094, decode.d6.loss_dice: 0.6142, decode.d7.loss_cls: 0.1363, decode.d7.loss_mask: 0.4086, decode.d7.loss_dice: 0.6158, decode.d8.loss_cls: 0.1314, decode.d8.loss_mask: 0.4091, decode.d8.loss_dice: 0.6164, loss: 12.7980, grad_norm: 43.4321 2023-11-12 18:41:40,219 - mmseg - INFO - Iter [143850/160000] lr: 1.009e-05, eta: 2:14:18, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1293, decode.loss_mask: 0.4017, decode.loss_dice: 0.6073, decode.d0.loss_cls: 1.0923, decode.d0.loss_mask: 0.4335, decode.d0.loss_dice: 0.6573, decode.d1.loss_cls: 0.1838, decode.d1.loss_mask: 0.4151, decode.d1.loss_dice: 0.6373, decode.d2.loss_cls: 0.1602, decode.d2.loss_mask: 0.4086, decode.d2.loss_dice: 0.6233, decode.d3.loss_cls: 0.1414, decode.d3.loss_mask: 0.4041, decode.d3.loss_dice: 0.6087, decode.d4.loss_cls: 0.1404, decode.d4.loss_mask: 0.4042, decode.d4.loss_dice: 0.6080, decode.d5.loss_cls: 0.1350, decode.d5.loss_mask: 0.4037, decode.d5.loss_dice: 0.6106, decode.d6.loss_cls: 0.1358, decode.d6.loss_mask: 0.4016, decode.d6.loss_dice: 0.6028, decode.d7.loss_cls: 0.1320, decode.d7.loss_mask: 0.4042, decode.d7.loss_dice: 0.6105, decode.d8.loss_cls: 0.1304, decode.d8.loss_mask: 0.4018, decode.d8.loss_dice: 0.6067, loss: 12.6317, grad_norm: 48.8864 2023-11-12 18:42:03,872 - mmseg - INFO - Iter [143900/160000] lr: 1.006e-05, eta: 2:13:53, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1362, decode.loss_mask: 0.3928, decode.loss_dice: 0.6082, decode.d0.loss_cls: 1.0793, decode.d0.loss_mask: 0.4180, decode.d0.loss_dice: 0.6551, decode.d1.loss_cls: 0.1891, decode.d1.loss_mask: 0.4018, decode.d1.loss_dice: 0.6322, decode.d2.loss_cls: 0.1593, decode.d2.loss_mask: 0.3985, decode.d2.loss_dice: 0.6216, decode.d3.loss_cls: 0.1540, decode.d3.loss_mask: 0.3947, decode.d3.loss_dice: 0.6112, decode.d4.loss_cls: 0.1479, decode.d4.loss_mask: 0.3942, decode.d4.loss_dice: 0.6101, decode.d5.loss_cls: 0.1449, decode.d5.loss_mask: 0.3934, decode.d5.loss_dice: 0.6092, decode.d6.loss_cls: 0.1417, decode.d6.loss_mask: 0.3929, decode.d6.loss_dice: 0.6074, decode.d7.loss_cls: 0.1376, decode.d7.loss_mask: 0.3933, decode.d7.loss_dice: 0.6088, decode.d8.loss_cls: 0.1355, decode.d8.loss_mask: 0.3932, decode.d8.loss_dice: 0.6091, loss: 12.5713, grad_norm: 44.5182 2023-11-12 18:42:27,550 - mmseg - INFO - Iter [143950/160000] lr: 1.003e-05, eta: 2:13:28, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1500, decode.loss_mask: 0.4124, decode.loss_dice: 0.6179, decode.d0.loss_cls: 1.1367, decode.d0.loss_mask: 0.4442, decode.d0.loss_dice: 0.6744, decode.d1.loss_cls: 0.2033, decode.d1.loss_mask: 0.4262, decode.d1.loss_dice: 0.6512, decode.d2.loss_cls: 0.1715, decode.d2.loss_mask: 0.4213, decode.d2.loss_dice: 0.6370, decode.d3.loss_cls: 0.1616, decode.d3.loss_mask: 0.4168, decode.d3.loss_dice: 0.6275, decode.d4.loss_cls: 0.1564, decode.d4.loss_mask: 0.4155, decode.d4.loss_dice: 0.6292, decode.d5.loss_cls: 0.1573, decode.d5.loss_mask: 0.4142, decode.d5.loss_dice: 0.6224, decode.d6.loss_cls: 0.1557, decode.d6.loss_mask: 0.4142, decode.d6.loss_dice: 0.6215, decode.d7.loss_cls: 0.1520, decode.d7.loss_mask: 0.4139, decode.d7.loss_dice: 0.6226, decode.d8.loss_cls: 0.1509, decode.d8.loss_mask: 0.4136, decode.d8.loss_dice: 0.6189, loss: 13.1104, grad_norm: 44.1949 2023-11-12 18:42:53,749 - mmseg - INFO - Saving checkpoint at 144000 iterations 2023-11-12 18:42:57,916 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 18:42:57,916 - mmseg - INFO - Iter [144000/160000] lr: 1.000e-05, eta: 2:13:04, time: 0.607, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1311, decode.loss_mask: 0.3980, decode.loss_dice: 0.6097, decode.d0.loss_cls: 1.0724, decode.d0.loss_mask: 0.4229, decode.d0.loss_dice: 0.6519, decode.d1.loss_cls: 0.1852, decode.d1.loss_mask: 0.4101, decode.d1.loss_dice: 0.6314, decode.d2.loss_cls: 0.1530, decode.d2.loss_mask: 0.4053, decode.d2.loss_dice: 0.6214, decode.d3.loss_cls: 0.1418, decode.d3.loss_mask: 0.4018, decode.d3.loss_dice: 0.6109, decode.d4.loss_cls: 0.1369, decode.d4.loss_mask: 0.4003, decode.d4.loss_dice: 0.6060, decode.d5.loss_cls: 0.1323, decode.d5.loss_mask: 0.3997, decode.d5.loss_dice: 0.6073, decode.d6.loss_cls: 0.1331, decode.d6.loss_mask: 0.3986, decode.d6.loss_dice: 0.6072, decode.d7.loss_cls: 0.1352, decode.d7.loss_mask: 0.3981, decode.d7.loss_dice: 0.6055, decode.d8.loss_cls: 0.1286, decode.d8.loss_mask: 0.3983, decode.d8.loss_dice: 0.6086, loss: 12.5426, grad_norm: 43.9356 2023-11-12 18:43:17,082 - mmseg - INFO - per class results: 2023-11-12 18:43:17,087 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.4 | 88.26 | | building | 83.01 | 91.39 | | sky | 94.62 | 97.19 | | floor | 83.26 | 90.49 | | tree | 75.68 | 88.25 | | ceiling | 84.57 | 90.91 | | road | 85.07 | 91.38 | | bed | 91.49 | 96.37 | | windowpane | 64.59 | 79.8 | | grass | 68.94 | 84.3 | | cabinet | 64.62 | 77.42 | | sidewalk | 67.91 | 80.72 | | person | 84.57 | 93.02 | | earth | 41.9 | 57.59 | | door | 51.46 | 70.39 | | table | 66.97 | 80.43 | | mountain | 59.94 | 68.89 | | plant | 53.42 | 67.8 | | curtain | 78.33 | 88.93 | | chair | 64.5 | 77.36 | | car | 85.89 | 92.21 | | water | 48.71 | 61.0 | | painting | 77.11 | 88.91 | | sofa | 68.3 | 80.98 | | shelf | 43.85 | 59.52 | | house | 40.05 | 65.83 | | sea | 58.4 | 90.35 | | mirror | 68.45 | 77.94 | | rug | 66.37 | 79.56 | | field | 37.26 | 50.68 | | armchair | 50.64 | 70.89 | | seat | 59.21 | 81.28 | | fence | 50.28 | 69.12 | | desk | 56.73 | 75.12 | | rock | 48.11 | 78.72 | | wardrobe | 44.33 | 63.67 | | lamp | 72.12 | 84.93 | | bathtub | 83.04 | 87.14 | | railing | 37.34 | 53.93 | | cushion | 65.44 | 76.68 | | base | 34.67 | 58.91 | | box | 29.09 | 39.88 | | column | 47.37 | 63.66 | | signboard | 34.86 | 53.3 | | chest of drawers | 45.54 | 65.68 | | counter | 35.3 | 42.6 | | sand | 33.84 | 45.51 | | sink | 77.39 | 82.27 | | skyscraper | 40.09 | 46.23 | | fireplace | 77.04 | 96.6 | | refrigerator | 77.12 | 83.67 | | grandstand | 41.37 | 73.91 | | path | 27.45 | 43.32 | | stairs | 33.03 | 43.44 | | runway | 81.5 | 91.41 | | case | 64.47 | 79.34 | | pool table | 95.07 | 97.62 | | pillow | 59.98 | 73.41 | | screen door | 43.02 | 46.09 | | stairway | 34.5 | 41.84 | | river | 14.85 | 27.12 | | bridge | 78.54 | 88.26 | | bookcase | 40.51 | 61.08 | | blind | 49.76 | 55.83 | | coffee table | 67.03 | 85.18 | | toilet | 85.17 | 91.71 | | flower | 46.03 | 64.68 | | book | 49.93 | 74.05 | | hill | 5.22 | 14.65 | | bench | 56.89 | 71.91 | | countertop | 63.99 | 78.66 | | stove | 83.95 | 89.19 | | palm | 57.12 | 72.1 | | kitchen island | 46.96 | 83.92 | | computer | 70.79 | 78.49 | | swivel chair | 39.43 | 59.31 | | boat | 45.44 | 50.18 | | bar | 53.26 | 64.2 | | arcade machine | 86.65 | 91.98 | | hovel | 26.25 | 41.07 | | bus | 94.0 | 96.37 | | towel | 67.17 | 81.28 | | light | 62.68 | 73.3 | | truck | 31.61 | 57.72 | | tower | 37.46 | 62.91 | | chandelier | 71.71 | 85.36 | | awning | 32.35 | 42.1 | | streetlight | 42.83 | 63.88 | | booth | 39.13 | 65.46 | | television receiver | 71.45 | 79.75 | | airplane | 64.81 | 72.19 | | dirt track | 8.67 | 49.28 | | apparel | 25.94 | 47.95 | | pole | 33.84 | 50.17 | | land | 5.61 | 7.71 | | bannister | 21.75 | 32.12 | | escalator | 20.02 | 21.58 | | ottoman | 53.93 | 77.17 | | bottle | 31.15 | 39.91 | | buffet | 45.02 | 54.96 | | poster | 23.82 | 35.89 | | stage | 19.57 | 29.59 | | van | 51.5 | 67.58 | | ship | 5.78 | 10.57 | | fountain | 20.48 | 21.78 | | conveyer belt | 62.29 | 89.44 | | canopy | 34.88 | 47.08 | | washer | 71.7 | 73.82 | | plaything | 28.01 | 36.64 | | swimming pool | 39.09 | 42.61 | | stool | 43.75 | 68.95 | | barrel | 78.21 | 82.92 | | basket | 42.9 | 53.17 | | waterfall | 65.81 | 92.48 | | tent | 95.23 | 98.06 | | bag | 17.01 | 20.25 | | minibike | 74.58 | 91.99 | | cradle | 85.93 | 97.36 | | oven | 24.71 | 68.2 | | ball | 49.16 | 59.88 | | food | 63.8 | 79.96 | | step | 15.76 | 23.22 | | tank | 63.98 | 66.19 | | trade name | 30.3 | 36.9 | | microwave | 42.73 | 46.45 | | pot | 50.02 | 57.51 | | animal | 58.29 | 59.64 | | bicycle | 55.08 | 76.79 | | lake | 55.87 | 63.62 | | dishwasher | 78.93 | 84.89 | | screen | 61.2 | 93.94 | | blanket | 30.59 | 38.35 | | sculpture | 63.09 | 86.49 | | hood | 85.22 | 93.81 | | sconce | 55.24 | 68.27 | | vase | 49.42 | 68.24 | | traffic light | 43.02 | 66.83 | | tray | 17.61 | 28.07 | | ashcan | 52.75 | 66.06 | | fan | 71.65 | 84.98 | | pier | 30.44 | 45.35 | | crt screen | 2.84 | 8.17 | | plate | 58.54 | 74.44 | | monitor | 10.11 | 13.64 | | bulletin board | 50.39 | 72.79 | | shower | 1.79 | 19.89 | | radiator | 70.97 | 82.61 | | glass | 22.27 | 24.31 | | clock | 56.98 | 67.79 | | flag | 46.12 | 51.11 | +---------------------+-------+-------+ 2023-11-12 18:43:17,087 - mmseg - INFO - Summary: 2023-11-12 18:43:17,087 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.14 | 52.51 | 65.74 | +-------+-------+-------+ 2023-11-12 18:43:17,088 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 18:43:17,088 - mmseg - INFO - Iter(val) [250] aAcc: 0.8414, mIoU: 0.5251, mAcc: 0.6574, IoU.wall: 0.7940, IoU.building: 0.8301, IoU.sky: 0.9462, IoU.floor: 0.8326, IoU.tree: 0.7568, IoU.ceiling: 0.8457, IoU.road: 0.8507, IoU.bed : 0.9149, IoU.windowpane: 0.6459, IoU.grass: 0.6894, IoU.cabinet: 0.6462, IoU.sidewalk: 0.6791, IoU.person: 0.8457, IoU.earth: 0.4190, IoU.door: 0.5146, IoU.table: 0.6697, IoU.mountain: 0.5994, IoU.plant: 0.5342, IoU.curtain: 0.7833, IoU.chair: 0.6450, IoU.car: 0.8589, IoU.water: 0.4871, IoU.painting: 0.7711, IoU.sofa: 0.6830, IoU.shelf: 0.4385, IoU.house: 0.4005, IoU.sea: 0.5840, IoU.mirror: 0.6845, IoU.rug: 0.6637, IoU.field: 0.3726, IoU.armchair: 0.5064, IoU.seat: 0.5921, IoU.fence: 0.5028, IoU.desk: 0.5673, IoU.rock: 0.4811, IoU.wardrobe: 0.4433, IoU.lamp: 0.7212, IoU.bathtub: 0.8304, IoU.railing: 0.3734, IoU.cushion: 0.6544, IoU.base: 0.3467, IoU.box: 0.2909, IoU.column: 0.4737, IoU.signboard: 0.3486, IoU.chest of drawers: 0.4554, IoU.counter: 0.3530, IoU.sand: 0.3384, IoU.sink: 0.7739, IoU.skyscraper: 0.4009, IoU.fireplace: 0.7704, IoU.refrigerator: 0.7712, IoU.grandstand: 0.4137, IoU.path: 0.2745, IoU.stairs: 0.3303, IoU.runway: 0.8150, IoU.case: 0.6447, IoU.pool table: 0.9507, IoU.pillow: 0.5998, IoU.screen door: 0.4302, IoU.stairway: 0.3450, IoU.river: 0.1485, IoU.bridge: 0.7854, IoU.bookcase: 0.4051, IoU.blind: 0.4976, IoU.coffee table: 0.6703, IoU.toilet: 0.8517, IoU.flower: 0.4603, IoU.book: 0.4993, IoU.hill: 0.0522, IoU.bench: 0.5689, IoU.countertop: 0.6399, IoU.stove: 0.8395, IoU.palm: 0.5712, IoU.kitchen island: 0.4696, IoU.computer: 0.7079, IoU.swivel chair: 0.3943, IoU.boat: 0.4544, IoU.bar: 0.5326, IoU.arcade machine: 0.8665, IoU.hovel: 0.2625, IoU.bus: 0.9400, IoU.towel: 0.6717, IoU.light: 0.6268, IoU.truck: 0.3161, IoU.tower: 0.3746, IoU.chandelier: 0.7171, IoU.awning: 0.3235, IoU.streetlight: 0.4283, IoU.booth: 0.3913, IoU.television receiver: 0.7145, IoU.airplane: 0.6481, IoU.dirt track: 0.0867, IoU.apparel: 0.2594, IoU.pole: 0.3384, IoU.land: 0.0561, IoU.bannister: 0.2175, IoU.escalator: 0.2002, IoU.ottoman: 0.5393, IoU.bottle: 0.3115, IoU.buffet: 0.4502, IoU.poster: 0.2382, IoU.stage: 0.1957, IoU.van: 0.5150, IoU.ship: 0.0578, IoU.fountain: 0.2048, IoU.conveyer belt: 0.6229, IoU.canopy: 0.3488, IoU.washer: 0.7170, IoU.plaything: 0.2801, IoU.swimming pool: 0.3909, IoU.stool: 0.4375, IoU.barrel: 0.7821, IoU.basket: 0.4290, IoU.waterfall: 0.6581, IoU.tent: 0.9523, IoU.bag: 0.1701, IoU.minibike: 0.7458, IoU.cradle: 0.8593, IoU.oven: 0.2471, IoU.ball: 0.4916, IoU.food: 0.6380, IoU.step: 0.1576, IoU.tank: 0.6398, IoU.trade name: 0.3030, IoU.microwave: 0.4273, IoU.pot: 0.5002, IoU.animal: 0.5829, IoU.bicycle: 0.5508, IoU.lake: 0.5587, IoU.dishwasher: 0.7893, IoU.screen: 0.6120, IoU.blanket: 0.3059, IoU.sculpture: 0.6309, IoU.hood: 0.8522, IoU.sconce: 0.5524, IoU.vase: 0.4942, IoU.traffic light: 0.4302, IoU.tray: 0.1761, IoU.ashcan: 0.5275, IoU.fan: 0.7165, IoU.pier: 0.3044, IoU.crt screen: 0.0284, IoU.plate: 0.5854, IoU.monitor: 0.1011, IoU.bulletin board: 0.5039, IoU.shower: 0.0179, IoU.radiator: 0.7097, IoU.glass: 0.2227, IoU.clock: 0.5698, IoU.flag: 0.4612, Acc.wall: 0.8826, Acc.building: 0.9139, Acc.sky: 0.9719, Acc.floor: 0.9049, Acc.tree: 0.8825, Acc.ceiling: 0.9091, Acc.road: 0.9138, Acc.bed : 0.9637, Acc.windowpane: 0.7980, Acc.grass: 0.8430, Acc.cabinet: 0.7742, Acc.sidewalk: 0.8072, Acc.person: 0.9302, Acc.earth: 0.5759, Acc.door: 0.7039, Acc.table: 0.8043, Acc.mountain: 0.6889, Acc.plant: 0.6780, Acc.curtain: 0.8893, Acc.chair: 0.7736, Acc.car: 0.9221, Acc.water: 0.6100, Acc.painting: 0.8891, Acc.sofa: 0.8098, Acc.shelf: 0.5952, Acc.house: 0.6583, Acc.sea: 0.9035, Acc.mirror: 0.7794, Acc.rug: 0.7956, Acc.field: 0.5068, Acc.armchair: 0.7089, Acc.seat: 0.8128, Acc.fence: 0.6912, Acc.desk: 0.7512, Acc.rock: 0.7872, Acc.wardrobe: 0.6367, Acc.lamp: 0.8493, Acc.bathtub: 0.8714, Acc.railing: 0.5393, Acc.cushion: 0.7668, Acc.base: 0.5891, Acc.box: 0.3988, Acc.column: 0.6366, Acc.signboard: 0.5330, Acc.chest of drawers: 0.6568, Acc.counter: 0.4260, Acc.sand: 0.4551, Acc.sink: 0.8227, Acc.skyscraper: 0.4623, Acc.fireplace: 0.9660, Acc.refrigerator: 0.8367, Acc.grandstand: 0.7391, Acc.path: 0.4332, Acc.stairs: 0.4344, Acc.runway: 0.9141, Acc.case: 0.7934, Acc.pool table: 0.9762, Acc.pillow: 0.7341, Acc.screen door: 0.4609, Acc.stairway: 0.4184, Acc.river: 0.2712, Acc.bridge: 0.8826, Acc.bookcase: 0.6108, Acc.blind: 0.5583, Acc.coffee table: 0.8518, Acc.toilet: 0.9171, Acc.flower: 0.6468, Acc.book: 0.7405, Acc.hill: 0.1465, Acc.bench: 0.7191, Acc.countertop: 0.7866, Acc.stove: 0.8919, Acc.palm: 0.7210, Acc.kitchen island: 0.8392, Acc.computer: 0.7849, Acc.swivel chair: 0.5931, Acc.boat: 0.5018, Acc.bar: 0.6420, Acc.arcade machine: 0.9198, Acc.hovel: 0.4107, Acc.bus: 0.9637, Acc.towel: 0.8128, Acc.light: 0.7330, Acc.truck: 0.5772, Acc.tower: 0.6291, Acc.chandelier: 0.8536, Acc.awning: 0.4210, Acc.streetlight: 0.6388, Acc.booth: 0.6546, Acc.television receiver: 0.7975, Acc.airplane: 0.7219, Acc.dirt track: 0.4928, Acc.apparel: 0.4795, Acc.pole: 0.5017, Acc.land: 0.0771, Acc.bannister: 0.3212, Acc.escalator: 0.2158, Acc.ottoman: 0.7717, Acc.bottle: 0.3991, Acc.buffet: 0.5496, Acc.poster: 0.3589, Acc.stage: 0.2959, Acc.van: 0.6758, Acc.ship: 0.1057, Acc.fountain: 0.2178, Acc.conveyer belt: 0.8944, Acc.canopy: 0.4708, Acc.washer: 0.7382, Acc.plaything: 0.3664, Acc.swimming pool: 0.4261, Acc.stool: 0.6895, Acc.barrel: 0.8292, Acc.basket: 0.5317, Acc.waterfall: 0.9248, Acc.tent: 0.9806, Acc.bag: 0.2025, Acc.minibike: 0.9199, Acc.cradle: 0.9736, Acc.oven: 0.6820, Acc.ball: 0.5988, Acc.food: 0.7996, Acc.step: 0.2322, Acc.tank: 0.6619, Acc.trade name: 0.3690, Acc.microwave: 0.4645, Acc.pot: 0.5751, Acc.animal: 0.5964, Acc.bicycle: 0.7679, Acc.lake: 0.6362, Acc.dishwasher: 0.8489, Acc.screen: 0.9394, Acc.blanket: 0.3835, Acc.sculpture: 0.8649, Acc.hood: 0.9381, Acc.sconce: 0.6827, Acc.vase: 0.6824, Acc.traffic light: 0.6683, Acc.tray: 0.2807, Acc.ashcan: 0.6606, Acc.fan: 0.8498, Acc.pier: 0.4535, Acc.crt screen: 0.0817, Acc.plate: 0.7444, Acc.monitor: 0.1364, Acc.bulletin board: 0.7279, Acc.shower: 0.1989, Acc.radiator: 0.8261, Acc.glass: 0.2431, Acc.clock: 0.6779, Acc.flag: 0.5111 2023-11-12 18:43:40,704 - mmseg - INFO - Iter [144050/160000] lr: 9.969e-06, eta: 2:12:41, time: 0.856, data_time: 0.395, memory: 41146, decode.loss_cls: 0.1426, decode.loss_mask: 0.4107, decode.loss_dice: 0.6099, decode.d0.loss_cls: 1.0839, decode.d0.loss_mask: 0.4415, decode.d0.loss_dice: 0.6557, decode.d1.loss_cls: 0.1972, decode.d1.loss_mask: 0.4224, decode.d1.loss_dice: 0.6381, decode.d2.loss_cls: 0.1690, decode.d2.loss_mask: 0.4180, decode.d2.loss_dice: 0.6203, decode.d3.loss_cls: 0.1549, decode.d3.loss_mask: 0.4141, decode.d3.loss_dice: 0.6131, decode.d4.loss_cls: 0.1505, decode.d4.loss_mask: 0.4129, decode.d4.loss_dice: 0.6115, decode.d5.loss_cls: 0.1469, decode.d5.loss_mask: 0.4118, decode.d5.loss_dice: 0.6112, decode.d6.loss_cls: 0.1485, decode.d6.loss_mask: 0.4111, decode.d6.loss_dice: 0.6099, decode.d7.loss_cls: 0.1471, decode.d7.loss_mask: 0.4114, decode.d7.loss_dice: 0.6095, decode.d8.loss_cls: 0.1411, decode.d8.loss_mask: 0.4109, decode.d8.loss_dice: 0.6093, loss: 12.8351, grad_norm: 46.6804 2023-11-12 18:44:05,226 - mmseg - INFO - Iter [144100/160000] lr: 9.938e-06, eta: 2:12:16, time: 0.490, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1482, decode.loss_mask: 0.3999, decode.loss_dice: 0.6262, decode.d0.loss_cls: 1.1238, decode.d0.loss_mask: 0.4288, decode.d0.loss_dice: 0.6788, decode.d1.loss_cls: 0.1997, decode.d1.loss_mask: 0.4119, decode.d1.loss_dice: 0.6573, decode.d2.loss_cls: 0.1705, decode.d2.loss_mask: 0.4078, decode.d2.loss_dice: 0.6395, decode.d3.loss_cls: 0.1635, decode.d3.loss_mask: 0.4032, decode.d3.loss_dice: 0.6299, decode.d4.loss_cls: 0.1508, decode.d4.loss_mask: 0.4021, decode.d4.loss_dice: 0.6300, decode.d5.loss_cls: 0.1514, decode.d5.loss_mask: 0.4014, decode.d5.loss_dice: 0.6282, decode.d6.loss_cls: 0.1459, decode.d6.loss_mask: 0.4021, decode.d6.loss_dice: 0.6269, decode.d7.loss_cls: 0.1468, decode.d7.loss_mask: 0.4009, decode.d7.loss_dice: 0.6272, decode.d8.loss_cls: 0.1458, decode.d8.loss_mask: 0.3999, decode.d8.loss_dice: 0.6228, loss: 12.9713, grad_norm: 47.6034 2023-11-12 18:44:29,607 - mmseg - INFO - Iter [144150/160000] lr: 9.907e-06, eta: 2:11:51, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1451, decode.loss_mask: 0.4074, decode.loss_dice: 0.6274, decode.d0.loss_cls: 1.1218, decode.d0.loss_mask: 0.4404, decode.d0.loss_dice: 0.6823, decode.d1.loss_cls: 0.2053, decode.d1.loss_mask: 0.4214, decode.d1.loss_dice: 0.6587, decode.d2.loss_cls: 0.1718, decode.d2.loss_mask: 0.4132, decode.d2.loss_dice: 0.6432, decode.d3.loss_cls: 0.1609, decode.d3.loss_mask: 0.4096, decode.d3.loss_dice: 0.6353, decode.d4.loss_cls: 0.1606, decode.d4.loss_mask: 0.4086, decode.d4.loss_dice: 0.6343, decode.d5.loss_cls: 0.1531, decode.d5.loss_mask: 0.4075, decode.d5.loss_dice: 0.6318, decode.d6.loss_cls: 0.1515, decode.d6.loss_mask: 0.4063, decode.d6.loss_dice: 0.6256, decode.d7.loss_cls: 0.1490, decode.d7.loss_mask: 0.4070, decode.d7.loss_dice: 0.6285, decode.d8.loss_cls: 0.1476, decode.d8.loss_mask: 0.4067, decode.d8.loss_dice: 0.6284, loss: 13.0906, grad_norm: 45.9862 2023-11-12 18:44:53,532 - mmseg - INFO - Iter [144200/160000] lr: 9.876e-06, eta: 2:11:26, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1381, decode.loss_mask: 0.4209, decode.loss_dice: 0.6248, decode.d0.loss_cls: 1.0522, decode.d0.loss_mask: 0.4509, decode.d0.loss_dice: 0.6687, decode.d1.loss_cls: 0.1868, decode.d1.loss_mask: 0.4300, decode.d1.loss_dice: 0.6512, decode.d2.loss_cls: 0.1624, decode.d2.loss_mask: 0.4236, decode.d2.loss_dice: 0.6350, decode.d3.loss_cls: 0.1526, decode.d3.loss_mask: 0.4221, decode.d3.loss_dice: 0.6288, decode.d4.loss_cls: 0.1458, decode.d4.loss_mask: 0.4214, decode.d4.loss_dice: 0.6255, decode.d5.loss_cls: 0.1418, decode.d5.loss_mask: 0.4221, decode.d5.loss_dice: 0.6296, decode.d6.loss_cls: 0.1408, decode.d6.loss_mask: 0.4225, decode.d6.loss_dice: 0.6232, decode.d7.loss_cls: 0.1391, decode.d7.loss_mask: 0.4213, decode.d7.loss_dice: 0.6206, decode.d8.loss_cls: 0.1360, decode.d8.loss_mask: 0.4203, decode.d8.loss_dice: 0.6246, loss: 12.9826, grad_norm: 46.5397 2023-11-12 18:45:18,160 - mmseg - INFO - Iter [144250/160000] lr: 9.844e-06, eta: 2:11:01, time: 0.493, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1350, decode.loss_mask: 0.3891, decode.loss_dice: 0.6096, decode.d0.loss_cls: 1.1076, decode.d0.loss_mask: 0.4186, decode.d0.loss_dice: 0.6583, decode.d1.loss_cls: 0.1935, decode.d1.loss_mask: 0.4027, decode.d1.loss_dice: 0.6335, decode.d2.loss_cls: 0.1621, decode.d2.loss_mask: 0.3944, decode.d2.loss_dice: 0.6230, decode.d3.loss_cls: 0.1498, decode.d3.loss_mask: 0.3934, decode.d3.loss_dice: 0.6147, decode.d4.loss_cls: 0.1461, decode.d4.loss_mask: 0.3912, decode.d4.loss_dice: 0.6091, decode.d5.loss_cls: 0.1412, decode.d5.loss_mask: 0.3901, decode.d5.loss_dice: 0.6100, decode.d6.loss_cls: 0.1384, decode.d6.loss_mask: 0.3902, decode.d6.loss_dice: 0.6079, decode.d7.loss_cls: 0.1389, decode.d7.loss_mask: 0.3891, decode.d7.loss_dice: 0.6095, decode.d8.loss_cls: 0.1356, decode.d8.loss_mask: 0.3891, decode.d8.loss_dice: 0.6043, loss: 12.5759, grad_norm: 42.8342 2023-11-12 18:45:43,005 - mmseg - INFO - Iter [144300/160000] lr: 9.813e-06, eta: 2:10:36, time: 0.497, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1421, decode.loss_mask: 0.3921, decode.loss_dice: 0.6068, decode.d0.loss_cls: 1.1006, decode.d0.loss_mask: 0.4234, decode.d0.loss_dice: 0.6572, decode.d1.loss_cls: 0.1922, decode.d1.loss_mask: 0.4035, decode.d1.loss_dice: 0.6391, decode.d2.loss_cls: 0.1722, decode.d2.loss_mask: 0.3965, decode.d2.loss_dice: 0.6229, decode.d3.loss_cls: 0.1553, decode.d3.loss_mask: 0.3954, decode.d3.loss_dice: 0.6126, decode.d4.loss_cls: 0.1484, decode.d4.loss_mask: 0.3943, decode.d4.loss_dice: 0.6122, decode.d5.loss_cls: 0.1485, decode.d5.loss_mask: 0.3936, decode.d5.loss_dice: 0.6099, decode.d6.loss_cls: 0.1436, decode.d6.loss_mask: 0.3925, decode.d6.loss_dice: 0.6068, decode.d7.loss_cls: 0.1455, decode.d7.loss_mask: 0.3918, decode.d7.loss_dice: 0.6072, decode.d8.loss_cls: 0.1429, decode.d8.loss_mask: 0.3917, decode.d8.loss_dice: 0.6082, loss: 12.6490, grad_norm: 43.9526 2023-11-12 18:46:06,704 - mmseg - INFO - Iter [144350/160000] lr: 9.782e-06, eta: 2:10:11, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1275, decode.loss_mask: 0.4010, decode.loss_dice: 0.6260, decode.d0.loss_cls: 1.0767, decode.d0.loss_mask: 0.4299, decode.d0.loss_dice: 0.6726, decode.d1.loss_cls: 0.1734, decode.d1.loss_mask: 0.4113, decode.d1.loss_dice: 0.6482, decode.d2.loss_cls: 0.1452, decode.d2.loss_mask: 0.4071, decode.d2.loss_dice: 0.6369, decode.d3.loss_cls: 0.1383, decode.d3.loss_mask: 0.4038, decode.d3.loss_dice: 0.6292, decode.d4.loss_cls: 0.1375, decode.d4.loss_mask: 0.4021, decode.d4.loss_dice: 0.6308, decode.d5.loss_cls: 0.1347, decode.d5.loss_mask: 0.4019, decode.d5.loss_dice: 0.6229, decode.d6.loss_cls: 0.1328, decode.d6.loss_mask: 0.4012, decode.d6.loss_dice: 0.6255, decode.d7.loss_cls: 0.1291, decode.d7.loss_mask: 0.4018, decode.d7.loss_dice: 0.6240, decode.d8.loss_cls: 0.1288, decode.d8.loss_mask: 0.4007, decode.d8.loss_dice: 0.6213, loss: 12.7224, grad_norm: 44.7471 2023-11-12 18:46:30,507 - mmseg - INFO - Iter [144400/160000] lr: 9.751e-06, eta: 2:09:46, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1341, decode.loss_mask: 0.4130, decode.loss_dice: 0.6231, decode.d0.loss_cls: 1.1001, decode.d0.loss_mask: 0.4430, decode.d0.loss_dice: 0.6736, decode.d1.loss_cls: 0.1971, decode.d1.loss_mask: 0.4245, decode.d1.loss_dice: 0.6507, decode.d2.loss_cls: 0.1616, decode.d2.loss_mask: 0.4184, decode.d2.loss_dice: 0.6353, decode.d3.loss_cls: 0.1496, decode.d3.loss_mask: 0.4162, decode.d3.loss_dice: 0.6337, decode.d4.loss_cls: 0.1433, decode.d4.loss_mask: 0.4149, decode.d4.loss_dice: 0.6294, decode.d5.loss_cls: 0.1445, decode.d5.loss_mask: 0.4152, decode.d5.loss_dice: 0.6314, decode.d6.loss_cls: 0.1428, decode.d6.loss_mask: 0.4143, decode.d6.loss_dice: 0.6242, decode.d7.loss_cls: 0.1414, decode.d7.loss_mask: 0.4136, decode.d7.loss_dice: 0.6249, decode.d8.loss_cls: 0.1412, decode.d8.loss_mask: 0.4121, decode.d8.loss_dice: 0.6230, loss: 12.9903, grad_norm: 48.6567 2023-11-12 18:46:54,286 - mmseg - INFO - Iter [144450/160000] lr: 9.719e-06, eta: 2:09:20, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1277, decode.loss_mask: 0.4164, decode.loss_dice: 0.6023, decode.d0.loss_cls: 1.0643, decode.d0.loss_mask: 0.4481, decode.d0.loss_dice: 0.6483, decode.d1.loss_cls: 0.1800, decode.d1.loss_mask: 0.4281, decode.d1.loss_dice: 0.6273, decode.d2.loss_cls: 0.1550, decode.d2.loss_mask: 0.4197, decode.d2.loss_dice: 0.6103, decode.d3.loss_cls: 0.1467, decode.d3.loss_mask: 0.4167, decode.d3.loss_dice: 0.6027, decode.d4.loss_cls: 0.1368, decode.d4.loss_mask: 0.4176, decode.d4.loss_dice: 0.6027, decode.d5.loss_cls: 0.1308, decode.d5.loss_mask: 0.4174, decode.d5.loss_dice: 0.6039, decode.d6.loss_cls: 0.1319, decode.d6.loss_mask: 0.4168, decode.d6.loss_dice: 0.6029, decode.d7.loss_cls: 0.1317, decode.d7.loss_mask: 0.4168, decode.d7.loss_dice: 0.6041, decode.d8.loss_cls: 0.1305, decode.d8.loss_mask: 0.4163, decode.d8.loss_dice: 0.5985, loss: 12.6524, grad_norm: 46.7852 2023-11-12 18:47:17,859 - mmseg - INFO - Iter [144500/160000] lr: 9.688e-06, eta: 2:08:55, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1367, decode.loss_mask: 0.4169, decode.loss_dice: 0.6361, decode.d0.loss_cls: 1.0358, decode.d0.loss_mask: 0.4491, decode.d0.loss_dice: 0.6876, decode.d1.loss_cls: 0.1915, decode.d1.loss_mask: 0.4260, decode.d1.loss_dice: 0.6684, decode.d2.loss_cls: 0.1601, decode.d2.loss_mask: 0.4205, decode.d2.loss_dice: 0.6526, decode.d3.loss_cls: 0.1492, decode.d3.loss_mask: 0.4182, decode.d3.loss_dice: 0.6423, decode.d4.loss_cls: 0.1460, decode.d4.loss_mask: 0.4184, decode.d4.loss_dice: 0.6390, decode.d5.loss_cls: 0.1433, decode.d5.loss_mask: 0.4174, decode.d5.loss_dice: 0.6426, decode.d6.loss_cls: 0.1393, decode.d6.loss_mask: 0.4170, decode.d6.loss_dice: 0.6397, decode.d7.loss_cls: 0.1341, decode.d7.loss_mask: 0.4165, decode.d7.loss_dice: 0.6378, decode.d8.loss_cls: 0.1334, decode.d8.loss_mask: 0.4166, decode.d8.loss_dice: 0.6380, loss: 13.0699, grad_norm: 46.5924 2023-11-12 18:47:41,339 - mmseg - INFO - Iter [144550/160000] lr: 9.657e-06, eta: 2:08:30, time: 0.470, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1246, decode.loss_mask: 0.4187, decode.loss_dice: 0.6260, decode.d0.loss_cls: 1.0996, decode.d0.loss_mask: 0.4496, decode.d0.loss_dice: 0.6806, decode.d1.loss_cls: 0.1835, decode.d1.loss_mask: 0.4333, decode.d1.loss_dice: 0.6555, decode.d2.loss_cls: 0.1608, decode.d2.loss_mask: 0.4251, decode.d2.loss_dice: 0.6414, decode.d3.loss_cls: 0.1467, decode.d3.loss_mask: 0.4210, decode.d3.loss_dice: 0.6314, decode.d4.loss_cls: 0.1414, decode.d4.loss_mask: 0.4202, decode.d4.loss_dice: 0.6290, decode.d5.loss_cls: 0.1342, decode.d5.loss_mask: 0.4197, decode.d5.loss_dice: 0.6288, decode.d6.loss_cls: 0.1319, decode.d6.loss_mask: 0.4192, decode.d6.loss_dice: 0.6298, decode.d7.loss_cls: 0.1293, decode.d7.loss_mask: 0.4181, decode.d7.loss_dice: 0.6250, decode.d8.loss_cls: 0.1292, decode.d8.loss_mask: 0.4197, decode.d8.loss_dice: 0.6268, loss: 13.0002, grad_norm: 47.9642 2023-11-12 18:48:05,049 - mmseg - INFO - Iter [144600/160000] lr: 9.626e-06, eta: 2:08:05, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1388, decode.loss_mask: 0.4006, decode.loss_dice: 0.6237, decode.d0.loss_cls: 1.0914, decode.d0.loss_mask: 0.4273, decode.d0.loss_dice: 0.6771, decode.d1.loss_cls: 0.1922, decode.d1.loss_mask: 0.4109, decode.d1.loss_dice: 0.6522, decode.d2.loss_cls: 0.1668, decode.d2.loss_mask: 0.4064, decode.d2.loss_dice: 0.6345, decode.d3.loss_cls: 0.1583, decode.d3.loss_mask: 0.4029, decode.d3.loss_dice: 0.6230, decode.d4.loss_cls: 0.1490, decode.d4.loss_mask: 0.4017, decode.d4.loss_dice: 0.6271, decode.d5.loss_cls: 0.1435, decode.d5.loss_mask: 0.4011, decode.d5.loss_dice: 0.6273, decode.d6.loss_cls: 0.1417, decode.d6.loss_mask: 0.4014, decode.d6.loss_dice: 0.6218, decode.d7.loss_cls: 0.1370, decode.d7.loss_mask: 0.4015, decode.d7.loss_dice: 0.6233, decode.d8.loss_cls: 0.1387, decode.d8.loss_mask: 0.4014, decode.d8.loss_dice: 0.6250, loss: 12.8480, grad_norm: 47.2181 2023-11-12 18:48:28,642 - mmseg - INFO - Iter [144650/160000] lr: 9.594e-06, eta: 2:07:40, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1432, decode.loss_mask: 0.3937, decode.loss_dice: 0.6195, decode.d0.loss_cls: 1.1060, decode.d0.loss_mask: 0.4285, decode.d0.loss_dice: 0.6762, decode.d1.loss_cls: 0.1997, decode.d1.loss_mask: 0.4097, decode.d1.loss_dice: 0.6467, decode.d2.loss_cls: 0.1664, decode.d2.loss_mask: 0.4020, decode.d2.loss_dice: 0.6321, decode.d3.loss_cls: 0.1616, decode.d3.loss_mask: 0.3975, decode.d3.loss_dice: 0.6218, decode.d4.loss_cls: 0.1546, decode.d4.loss_mask: 0.3970, decode.d4.loss_dice: 0.6229, decode.d5.loss_cls: 0.1456, decode.d5.loss_mask: 0.3957, decode.d5.loss_dice: 0.6243, decode.d6.loss_cls: 0.1478, decode.d6.loss_mask: 0.3944, decode.d6.loss_dice: 0.6191, decode.d7.loss_cls: 0.1436, decode.d7.loss_mask: 0.3942, decode.d7.loss_dice: 0.6202, decode.d8.loss_cls: 0.1448, decode.d8.loss_mask: 0.3939, decode.d8.loss_dice: 0.6198, loss: 12.8224, grad_norm: 47.9727 2023-11-12 18:48:52,446 - mmseg - INFO - Iter [144700/160000] lr: 9.563e-06, eta: 2:07:15, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1428, decode.loss_mask: 0.3917, decode.loss_dice: 0.6224, decode.d0.loss_cls: 1.0960, decode.d0.loss_mask: 0.4197, decode.d0.loss_dice: 0.6792, decode.d1.loss_cls: 0.2018, decode.d1.loss_mask: 0.4027, decode.d1.loss_dice: 0.6455, decode.d2.loss_cls: 0.1677, decode.d2.loss_mask: 0.3962, decode.d2.loss_dice: 0.6326, decode.d3.loss_cls: 0.1551, decode.d3.loss_mask: 0.3952, decode.d3.loss_dice: 0.6260, decode.d4.loss_cls: 0.1525, decode.d4.loss_mask: 0.3937, decode.d4.loss_dice: 0.6254, decode.d5.loss_cls: 0.1464, decode.d5.loss_mask: 0.3928, decode.d5.loss_dice: 0.6213, decode.d6.loss_cls: 0.1455, decode.d6.loss_mask: 0.3929, decode.d6.loss_dice: 0.6234, decode.d7.loss_cls: 0.1467, decode.d7.loss_mask: 0.3916, decode.d7.loss_dice: 0.6232, decode.d8.loss_cls: 0.1433, decode.d8.loss_mask: 0.3916, decode.d8.loss_dice: 0.6230, loss: 12.7880, grad_norm: 45.5664 2023-11-12 18:49:16,254 - mmseg - INFO - Iter [144750/160000] lr: 9.532e-06, eta: 2:06:50, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1210, decode.loss_mask: 0.3866, decode.loss_dice: 0.6134, decode.d0.loss_cls: 1.0704, decode.d0.loss_mask: 0.4134, decode.d0.loss_dice: 0.6598, decode.d1.loss_cls: 0.1842, decode.d1.loss_mask: 0.3959, decode.d1.loss_dice: 0.6336, decode.d2.loss_cls: 0.1549, decode.d2.loss_mask: 0.3921, decode.d2.loss_dice: 0.6246, decode.d3.loss_cls: 0.1413, decode.d3.loss_mask: 0.3880, decode.d3.loss_dice: 0.6132, decode.d4.loss_cls: 0.1356, decode.d4.loss_mask: 0.3871, decode.d4.loss_dice: 0.6122, decode.d5.loss_cls: 0.1309, decode.d5.loss_mask: 0.3879, decode.d5.loss_dice: 0.6147, decode.d6.loss_cls: 0.1283, decode.d6.loss_mask: 0.3870, decode.d6.loss_dice: 0.6139, decode.d7.loss_cls: 0.1288, decode.d7.loss_mask: 0.3866, decode.d7.loss_dice: 0.6123, decode.d8.loss_cls: 0.1219, decode.d8.loss_mask: 0.3865, decode.d8.loss_dice: 0.6105, loss: 12.4367, grad_norm: 40.8698 2023-11-12 18:49:40,116 - mmseg - INFO - Iter [144800/160000] lr: 9.501e-06, eta: 2:06:25, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1332, decode.loss_mask: 0.3780, decode.loss_dice: 0.5960, decode.d0.loss_cls: 1.1128, decode.d0.loss_mask: 0.4080, decode.d0.loss_dice: 0.6450, decode.d1.loss_cls: 0.1842, decode.d1.loss_mask: 0.3886, decode.d1.loss_dice: 0.6224, decode.d2.loss_cls: 0.1592, decode.d2.loss_mask: 0.3847, decode.d2.loss_dice: 0.6129, decode.d3.loss_cls: 0.1500, decode.d3.loss_mask: 0.3816, decode.d3.loss_dice: 0.6011, decode.d4.loss_cls: 0.1454, decode.d4.loss_mask: 0.3810, decode.d4.loss_dice: 0.6035, decode.d5.loss_cls: 0.1399, decode.d5.loss_mask: 0.3793, decode.d5.loss_dice: 0.6006, decode.d6.loss_cls: 0.1373, decode.d6.loss_mask: 0.3807, decode.d6.loss_dice: 0.6017, decode.d7.loss_cls: 0.1351, decode.d7.loss_mask: 0.3802, decode.d7.loss_dice: 0.5974, decode.d8.loss_cls: 0.1329, decode.d8.loss_mask: 0.3794, decode.d8.loss_dice: 0.6026, loss: 12.3551, grad_norm: 40.8828 2023-11-12 18:50:03,976 - mmseg - INFO - Iter [144850/160000] lr: 9.469e-06, eta: 2:06:00, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1402, decode.loss_mask: 0.4154, decode.loss_dice: 0.6209, decode.d0.loss_cls: 1.0912, decode.d0.loss_mask: 0.4485, decode.d0.loss_dice: 0.6709, decode.d1.loss_cls: 0.2034, decode.d1.loss_mask: 0.4277, decode.d1.loss_dice: 0.6436, decode.d2.loss_cls: 0.1667, decode.d2.loss_mask: 0.4214, decode.d2.loss_dice: 0.6362, decode.d3.loss_cls: 0.1574, decode.d3.loss_mask: 0.4175, decode.d3.loss_dice: 0.6251, decode.d4.loss_cls: 0.1536, decode.d4.loss_mask: 0.4155, decode.d4.loss_dice: 0.6225, decode.d5.loss_cls: 0.1477, decode.d5.loss_mask: 0.4147, decode.d5.loss_dice: 0.6250, decode.d6.loss_cls: 0.1514, decode.d6.loss_mask: 0.4149, decode.d6.loss_dice: 0.6178, decode.d7.loss_cls: 0.1464, decode.d7.loss_mask: 0.4147, decode.d7.loss_dice: 0.6204, decode.d8.loss_cls: 0.1401, decode.d8.loss_mask: 0.4167, decode.d8.loss_dice: 0.6233, loss: 13.0111, grad_norm: 47.7906 2023-11-12 18:50:27,744 - mmseg - INFO - Iter [144900/160000] lr: 9.438e-06, eta: 2:05:35, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1300, decode.loss_mask: 0.4073, decode.loss_dice: 0.6207, decode.d0.loss_cls: 1.0844, decode.d0.loss_mask: 0.4377, decode.d0.loss_dice: 0.6685, decode.d1.loss_cls: 0.1876, decode.d1.loss_mask: 0.4202, decode.d1.loss_dice: 0.6461, decode.d2.loss_cls: 0.1626, decode.d2.loss_mask: 0.4124, decode.d2.loss_dice: 0.6345, decode.d3.loss_cls: 0.1496, decode.d3.loss_mask: 0.4083, decode.d3.loss_dice: 0.6253, decode.d4.loss_cls: 0.1422, decode.d4.loss_mask: 0.4075, decode.d4.loss_dice: 0.6204, decode.d5.loss_cls: 0.1400, decode.d5.loss_mask: 0.4075, decode.d5.loss_dice: 0.6218, decode.d6.loss_cls: 0.1371, decode.d6.loss_mask: 0.4075, decode.d6.loss_dice: 0.6218, decode.d7.loss_cls: 0.1322, decode.d7.loss_mask: 0.4067, decode.d7.loss_dice: 0.6210, decode.d8.loss_cls: 0.1336, decode.d8.loss_mask: 0.4068, decode.d8.loss_dice: 0.6195, loss: 12.8210, grad_norm: 44.8580 2023-11-12 18:50:51,559 - mmseg - INFO - Iter [144950/160000] lr: 9.407e-06, eta: 2:05:10, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1383, decode.loss_mask: 0.3839, decode.loss_dice: 0.5974, decode.d0.loss_cls: 1.0953, decode.d0.loss_mask: 0.4141, decode.d0.loss_dice: 0.6537, decode.d1.loss_cls: 0.1873, decode.d1.loss_mask: 0.4002, decode.d1.loss_dice: 0.6293, decode.d2.loss_cls: 0.1635, decode.d2.loss_mask: 0.3907, decode.d2.loss_dice: 0.6123, decode.d3.loss_cls: 0.1522, decode.d3.loss_mask: 0.3873, decode.d3.loss_dice: 0.6029, decode.d4.loss_cls: 0.1486, decode.d4.loss_mask: 0.3856, decode.d4.loss_dice: 0.5998, decode.d5.loss_cls: 0.1390, decode.d5.loss_mask: 0.3852, decode.d5.loss_dice: 0.6030, decode.d6.loss_cls: 0.1402, decode.d6.loss_mask: 0.3850, decode.d6.loss_dice: 0.5972, decode.d7.loss_cls: 0.1400, decode.d7.loss_mask: 0.3849, decode.d7.loss_dice: 0.5991, decode.d8.loss_cls: 0.1384, decode.d8.loss_mask: 0.3847, decode.d8.loss_dice: 0.6005, loss: 12.4394, grad_norm: 44.0001 2023-11-12 18:51:15,350 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 18:51:15,350 - mmseg - INFO - Iter [145000/160000] lr: 9.376e-06, eta: 2:04:45, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1385, decode.loss_mask: 0.3927, decode.loss_dice: 0.6049, decode.d0.loss_cls: 1.1047, decode.d0.loss_mask: 0.4270, decode.d0.loss_dice: 0.6658, decode.d1.loss_cls: 0.1980, decode.d1.loss_mask: 0.4049, decode.d1.loss_dice: 0.6291, decode.d2.loss_cls: 0.1600, decode.d2.loss_mask: 0.3976, decode.d2.loss_dice: 0.6190, decode.d3.loss_cls: 0.1509, decode.d3.loss_mask: 0.3954, decode.d3.loss_dice: 0.6085, decode.d4.loss_cls: 0.1461, decode.d4.loss_mask: 0.3944, decode.d4.loss_dice: 0.6074, decode.d5.loss_cls: 0.1359, decode.d5.loss_mask: 0.3942, decode.d5.loss_dice: 0.6081, decode.d6.loss_cls: 0.1409, decode.d6.loss_mask: 0.3940, decode.d6.loss_dice: 0.6065, decode.d7.loss_cls: 0.1397, decode.d7.loss_mask: 0.3937, decode.d7.loss_dice: 0.6024, decode.d8.loss_cls: 0.1376, decode.d8.loss_mask: 0.3933, decode.d8.loss_dice: 0.6082, loss: 12.5995, grad_norm: 44.9322 2023-11-12 18:51:39,060 - mmseg - INFO - Iter [145050/160000] lr: 9.344e-06, eta: 2:04:19, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1334, decode.loss_mask: 0.3865, decode.loss_dice: 0.6011, decode.d0.loss_cls: 1.0878, decode.d0.loss_mask: 0.4117, decode.d0.loss_dice: 0.6421, decode.d1.loss_cls: 0.1948, decode.d1.loss_mask: 0.3953, decode.d1.loss_dice: 0.6237, decode.d2.loss_cls: 0.1642, decode.d2.loss_mask: 0.3907, decode.d2.loss_dice: 0.6133, decode.d3.loss_cls: 0.1512, decode.d3.loss_mask: 0.3886, decode.d3.loss_dice: 0.5997, decode.d4.loss_cls: 0.1476, decode.d4.loss_mask: 0.3881, decode.d4.loss_dice: 0.6010, decode.d5.loss_cls: 0.1415, decode.d5.loss_mask: 0.3878, decode.d5.loss_dice: 0.6034, decode.d6.loss_cls: 0.1409, decode.d6.loss_mask: 0.3874, decode.d6.loss_dice: 0.5979, decode.d7.loss_cls: 0.1383, decode.d7.loss_mask: 0.3868, decode.d7.loss_dice: 0.6011, decode.d8.loss_cls: 0.1338, decode.d8.loss_mask: 0.3864, decode.d8.loss_dice: 0.6018, loss: 12.4275, grad_norm: 43.4516 2023-11-12 18:52:02,606 - mmseg - INFO - Iter [145100/160000] lr: 9.313e-06, eta: 2:03:54, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1323, decode.loss_mask: 0.4000, decode.loss_dice: 0.5966, decode.d0.loss_cls: 1.0725, decode.d0.loss_mask: 0.4309, decode.d0.loss_dice: 0.6446, decode.d1.loss_cls: 0.1809, decode.d1.loss_mask: 0.4135, decode.d1.loss_dice: 0.6208, decode.d2.loss_cls: 0.1550, decode.d2.loss_mask: 0.4040, decode.d2.loss_dice: 0.6074, decode.d3.loss_cls: 0.1478, decode.d3.loss_mask: 0.4015, decode.d3.loss_dice: 0.5996, decode.d4.loss_cls: 0.1360, decode.d4.loss_mask: 0.4010, decode.d4.loss_dice: 0.5983, decode.d5.loss_cls: 0.1328, decode.d5.loss_mask: 0.4009, decode.d5.loss_dice: 0.5981, decode.d6.loss_cls: 0.1316, decode.d6.loss_mask: 0.4015, decode.d6.loss_dice: 0.5975, decode.d7.loss_cls: 0.1306, decode.d7.loss_mask: 0.3989, decode.d7.loss_dice: 0.5957, decode.d8.loss_cls: 0.1297, decode.d8.loss_mask: 0.3991, decode.d8.loss_dice: 0.5968, loss: 12.4558, grad_norm: 47.9394 2023-11-12 18:52:26,245 - mmseg - INFO - Iter [145150/160000] lr: 9.282e-06, eta: 2:03:29, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1408, decode.loss_mask: 0.4056, decode.loss_dice: 0.6219, decode.d0.loss_cls: 1.0859, decode.d0.loss_mask: 0.4352, decode.d0.loss_dice: 0.6677, decode.d1.loss_cls: 0.1977, decode.d1.loss_mask: 0.4181, decode.d1.loss_dice: 0.6437, decode.d2.loss_cls: 0.1670, decode.d2.loss_mask: 0.4091, decode.d2.loss_dice: 0.6323, decode.d3.loss_cls: 0.1593, decode.d3.loss_mask: 0.4073, decode.d3.loss_dice: 0.6271, decode.d4.loss_cls: 0.1515, decode.d4.loss_mask: 0.4068, decode.d4.loss_dice: 0.6245, decode.d5.loss_cls: 0.1486, decode.d5.loss_mask: 0.4069, decode.d5.loss_dice: 0.6286, decode.d6.loss_cls: 0.1471, decode.d6.loss_mask: 0.4060, decode.d6.loss_dice: 0.6225, decode.d7.loss_cls: 0.1424, decode.d7.loss_mask: 0.4059, decode.d7.loss_dice: 0.6226, decode.d8.loss_cls: 0.1372, decode.d8.loss_mask: 0.4050, decode.d8.loss_dice: 0.6234, loss: 12.8977, grad_norm: 45.1636 2023-11-12 18:52:50,091 - mmseg - INFO - Iter [145200/160000] lr: 9.251e-06, eta: 2:03:04, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1284, decode.loss_mask: 0.4002, decode.loss_dice: 0.6230, decode.d0.loss_cls: 1.0659, decode.d0.loss_mask: 0.4283, decode.d0.loss_dice: 0.6714, decode.d1.loss_cls: 0.1877, decode.d1.loss_mask: 0.4098, decode.d1.loss_dice: 0.6524, decode.d2.loss_cls: 0.1578, decode.d2.loss_mask: 0.4040, decode.d2.loss_dice: 0.6326, decode.d3.loss_cls: 0.1465, decode.d3.loss_mask: 0.4015, decode.d3.loss_dice: 0.6269, decode.d4.loss_cls: 0.1439, decode.d4.loss_mask: 0.4006, decode.d4.loss_dice: 0.6230, decode.d5.loss_cls: 0.1385, decode.d5.loss_mask: 0.4004, decode.d5.loss_dice: 0.6259, decode.d6.loss_cls: 0.1336, decode.d6.loss_mask: 0.4001, decode.d6.loss_dice: 0.6227, decode.d7.loss_cls: 0.1327, decode.d7.loss_mask: 0.4006, decode.d7.loss_dice: 0.6232, decode.d8.loss_cls: 0.1344, decode.d8.loss_mask: 0.4000, decode.d8.loss_dice: 0.6210, loss: 12.7371, grad_norm: 42.5459 2023-11-12 18:53:16,155 - mmseg - INFO - Iter [145250/160000] lr: 9.219e-06, eta: 2:02:39, time: 0.521, data_time: 0.056, memory: 41146, decode.loss_cls: 0.1373, decode.loss_mask: 0.3953, decode.loss_dice: 0.5959, decode.d0.loss_cls: 1.0816, decode.d0.loss_mask: 0.4248, decode.d0.loss_dice: 0.6456, decode.d1.loss_cls: 0.1909, decode.d1.loss_mask: 0.4071, decode.d1.loss_dice: 0.6205, decode.d2.loss_cls: 0.1657, decode.d2.loss_mask: 0.4008, decode.d2.loss_dice: 0.6098, decode.d3.loss_cls: 0.1528, decode.d3.loss_mask: 0.3976, decode.d3.loss_dice: 0.5998, decode.d4.loss_cls: 0.1484, decode.d4.loss_mask: 0.3971, decode.d4.loss_dice: 0.5961, decode.d5.loss_cls: 0.1399, decode.d5.loss_mask: 0.3950, decode.d5.loss_dice: 0.5990, decode.d6.loss_cls: 0.1436, decode.d6.loss_mask: 0.3946, decode.d6.loss_dice: 0.5904, decode.d7.loss_cls: 0.1397, decode.d7.loss_mask: 0.3946, decode.d7.loss_dice: 0.5960, decode.d8.loss_cls: 0.1369, decode.d8.loss_mask: 0.3948, decode.d8.loss_dice: 0.5936, loss: 12.4850, grad_norm: 47.7066 2023-11-12 18:53:39,732 - mmseg - INFO - Iter [145300/160000] lr: 9.188e-06, eta: 2:02:14, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1345, decode.loss_mask: 0.4017, decode.loss_dice: 0.6282, decode.d0.loss_cls: 1.0665, decode.d0.loss_mask: 0.4280, decode.d0.loss_dice: 0.6808, decode.d1.loss_cls: 0.1827, decode.d1.loss_mask: 0.4129, decode.d1.loss_dice: 0.6508, decode.d2.loss_cls: 0.1627, decode.d2.loss_mask: 0.4056, decode.d2.loss_dice: 0.6398, decode.d3.loss_cls: 0.1515, decode.d3.loss_mask: 0.4022, decode.d3.loss_dice: 0.6313, decode.d4.loss_cls: 0.1475, decode.d4.loss_mask: 0.4027, decode.d4.loss_dice: 0.6311, decode.d5.loss_cls: 0.1400, decode.d5.loss_mask: 0.4027, decode.d5.loss_dice: 0.6294, decode.d6.loss_cls: 0.1381, decode.d6.loss_mask: 0.4020, decode.d6.loss_dice: 0.6297, decode.d7.loss_cls: 0.1356, decode.d7.loss_mask: 0.4019, decode.d7.loss_dice: 0.6287, decode.d8.loss_cls: 0.1319, decode.d8.loss_mask: 0.4022, decode.d8.loss_dice: 0.6299, loss: 12.8323, grad_norm: 44.5372 2023-11-12 18:54:03,471 - mmseg - INFO - Iter [145350/160000] lr: 9.157e-06, eta: 2:01:49, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1372, decode.loss_mask: 0.4048, decode.loss_dice: 0.6082, decode.d0.loss_cls: 1.0978, decode.d0.loss_mask: 0.4344, decode.d0.loss_dice: 0.6641, decode.d1.loss_cls: 0.1879, decode.d1.loss_mask: 0.4149, decode.d1.loss_dice: 0.6302, decode.d2.loss_cls: 0.1600, decode.d2.loss_mask: 0.4108, decode.d2.loss_dice: 0.6214, decode.d3.loss_cls: 0.1481, decode.d3.loss_mask: 0.4074, decode.d3.loss_dice: 0.6167, decode.d4.loss_cls: 0.1436, decode.d4.loss_mask: 0.4062, decode.d4.loss_dice: 0.6102, decode.d5.loss_cls: 0.1410, decode.d5.loss_mask: 0.4060, decode.d5.loss_dice: 0.6083, decode.d6.loss_cls: 0.1385, decode.d6.loss_mask: 0.4044, decode.d6.loss_dice: 0.6103, decode.d7.loss_cls: 0.1339, decode.d7.loss_mask: 0.4054, decode.d7.loss_dice: 0.6103, decode.d8.loss_cls: 0.1358, decode.d8.loss_mask: 0.4049, decode.d8.loss_dice: 0.6084, loss: 12.7108, grad_norm: 47.4196 2023-11-12 18:54:27,218 - mmseg - INFO - Iter [145400/160000] lr: 9.126e-06, eta: 2:01:24, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1364, decode.loss_mask: 0.4043, decode.loss_dice: 0.6173, decode.d0.loss_cls: 1.0701, decode.d0.loss_mask: 0.4380, decode.d0.loss_dice: 0.6668, decode.d1.loss_cls: 0.1841, decode.d1.loss_mask: 0.4157, decode.d1.loss_dice: 0.6441, decode.d2.loss_cls: 0.1600, decode.d2.loss_mask: 0.4108, decode.d2.loss_dice: 0.6261, decode.d3.loss_cls: 0.1508, decode.d3.loss_mask: 0.4058, decode.d3.loss_dice: 0.6190, decode.d4.loss_cls: 0.1413, decode.d4.loss_mask: 0.4065, decode.d4.loss_dice: 0.6171, decode.d5.loss_cls: 0.1433, decode.d5.loss_mask: 0.4045, decode.d5.loss_dice: 0.6170, decode.d6.loss_cls: 0.1404, decode.d6.loss_mask: 0.4044, decode.d6.loss_dice: 0.6153, decode.d7.loss_cls: 0.1384, decode.d7.loss_mask: 0.4040, decode.d7.loss_dice: 0.6118, decode.d8.loss_cls: 0.1334, decode.d8.loss_mask: 0.4049, decode.d8.loss_dice: 0.6148, loss: 12.7465, grad_norm: 47.9422 2023-11-12 18:54:50,819 - mmseg - INFO - Iter [145450/160000] lr: 9.094e-06, eta: 2:00:59, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1292, decode.loss_mask: 0.3985, decode.loss_dice: 0.6080, decode.d0.loss_cls: 1.0583, decode.d0.loss_mask: 0.4244, decode.d0.loss_dice: 0.6621, decode.d1.loss_cls: 0.1842, decode.d1.loss_mask: 0.4102, decode.d1.loss_dice: 0.6333, decode.d2.loss_cls: 0.1567, decode.d2.loss_mask: 0.4041, decode.d2.loss_dice: 0.6178, decode.d3.loss_cls: 0.1453, decode.d3.loss_mask: 0.4011, decode.d3.loss_dice: 0.6120, decode.d4.loss_cls: 0.1428, decode.d4.loss_mask: 0.3984, decode.d4.loss_dice: 0.6089, decode.d5.loss_cls: 0.1384, decode.d5.loss_mask: 0.3983, decode.d5.loss_dice: 0.6092, decode.d6.loss_cls: 0.1373, decode.d6.loss_mask: 0.3986, decode.d6.loss_dice: 0.6052, decode.d7.loss_cls: 0.1323, decode.d7.loss_mask: 0.3981, decode.d7.loss_dice: 0.6047, decode.d8.loss_cls: 0.1324, decode.d8.loss_mask: 0.3981, decode.d8.loss_dice: 0.6067, loss: 12.5549, grad_norm: 43.5732 2023-11-12 18:55:14,640 - mmseg - INFO - Iter [145500/160000] lr: 9.063e-06, eta: 2:00:34, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1359, decode.loss_mask: 0.4036, decode.loss_dice: 0.6197, decode.d0.loss_cls: 1.0927, decode.d0.loss_mask: 0.4359, decode.d0.loss_dice: 0.6694, decode.d1.loss_cls: 0.1948, decode.d1.loss_mask: 0.4143, decode.d1.loss_dice: 0.6465, decode.d2.loss_cls: 0.1666, decode.d2.loss_mask: 0.4073, decode.d2.loss_dice: 0.6340, decode.d3.loss_cls: 0.1508, decode.d3.loss_mask: 0.4043, decode.d3.loss_dice: 0.6241, decode.d4.loss_cls: 0.1451, decode.d4.loss_mask: 0.4045, decode.d4.loss_dice: 0.6210, decode.d5.loss_cls: 0.1410, decode.d5.loss_mask: 0.4043, decode.d5.loss_dice: 0.6230, decode.d6.loss_cls: 0.1420, decode.d6.loss_mask: 0.4036, decode.d6.loss_dice: 0.6191, decode.d7.loss_cls: 0.1374, decode.d7.loss_mask: 0.4038, decode.d7.loss_dice: 0.6181, decode.d8.loss_cls: 0.1381, decode.d8.loss_mask: 0.4032, decode.d8.loss_dice: 0.6197, loss: 12.8238, grad_norm: 46.5884 2023-11-12 18:55:38,287 - mmseg - INFO - Iter [145550/160000] lr: 9.032e-06, eta: 2:00:09, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1258, decode.loss_mask: 0.3996, decode.loss_dice: 0.6021, decode.d0.loss_cls: 1.0542, decode.d0.loss_mask: 0.4276, decode.d0.loss_dice: 0.6499, decode.d1.loss_cls: 0.1831, decode.d1.loss_mask: 0.4091, decode.d1.loss_dice: 0.6228, decode.d2.loss_cls: 0.1535, decode.d2.loss_mask: 0.4049, decode.d2.loss_dice: 0.6144, decode.d3.loss_cls: 0.1357, decode.d3.loss_mask: 0.4025, decode.d3.loss_dice: 0.6050, decode.d4.loss_cls: 0.1330, decode.d4.loss_mask: 0.4019, decode.d4.loss_dice: 0.6040, decode.d5.loss_cls: 0.1319, decode.d5.loss_mask: 0.4013, decode.d5.loss_dice: 0.6023, decode.d6.loss_cls: 0.1311, decode.d6.loss_mask: 0.4005, decode.d6.loss_dice: 0.5995, decode.d7.loss_cls: 0.1282, decode.d7.loss_mask: 0.4006, decode.d7.loss_dice: 0.6007, decode.d8.loss_cls: 0.1293, decode.d8.loss_mask: 0.3997, decode.d8.loss_dice: 0.6019, loss: 12.4564, grad_norm: 46.8007 2023-11-12 18:56:02,046 - mmseg - INFO - Iter [145600/160000] lr: 9.001e-06, eta: 1:59:44, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1346, decode.loss_mask: 0.3926, decode.loss_dice: 0.6232, decode.d0.loss_cls: 1.1141, decode.d0.loss_mask: 0.4207, decode.d0.loss_dice: 0.6783, decode.d1.loss_cls: 0.2013, decode.d1.loss_mask: 0.4021, decode.d1.loss_dice: 0.6518, decode.d2.loss_cls: 0.1699, decode.d2.loss_mask: 0.3966, decode.d2.loss_dice: 0.6362, decode.d3.loss_cls: 0.1543, decode.d3.loss_mask: 0.3949, decode.d3.loss_dice: 0.6262, decode.d4.loss_cls: 0.1500, decode.d4.loss_mask: 0.3946, decode.d4.loss_dice: 0.6258, decode.d5.loss_cls: 0.1426, decode.d5.loss_mask: 0.3934, decode.d5.loss_dice: 0.6251, decode.d6.loss_cls: 0.1375, decode.d6.loss_mask: 0.3939, decode.d6.loss_dice: 0.6232, decode.d7.loss_cls: 0.1387, decode.d7.loss_mask: 0.3945, decode.d7.loss_dice: 0.6246, decode.d8.loss_cls: 0.1341, decode.d8.loss_mask: 0.3937, decode.d8.loss_dice: 0.6234, loss: 12.7918, grad_norm: 46.0131 2023-11-12 18:56:25,801 - mmseg - INFO - Iter [145650/160000] lr: 8.969e-06, eta: 1:59:19, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1442, decode.loss_mask: 0.3958, decode.loss_dice: 0.6083, decode.d0.loss_cls: 1.1308, decode.d0.loss_mask: 0.4240, decode.d0.loss_dice: 0.6686, decode.d1.loss_cls: 0.2060, decode.d1.loss_mask: 0.4067, decode.d1.loss_dice: 0.6420, decode.d2.loss_cls: 0.1682, decode.d2.loss_mask: 0.3996, decode.d2.loss_dice: 0.6278, decode.d3.loss_cls: 0.1561, decode.d3.loss_mask: 0.3976, decode.d3.loss_dice: 0.6112, decode.d4.loss_cls: 0.1532, decode.d4.loss_mask: 0.3977, decode.d4.loss_dice: 0.6136, decode.d5.loss_cls: 0.1427, decode.d5.loss_mask: 0.3968, decode.d5.loss_dice: 0.6143, decode.d6.loss_cls: 0.1458, decode.d6.loss_mask: 0.3971, decode.d6.loss_dice: 0.6141, decode.d7.loss_cls: 0.1405, decode.d7.loss_mask: 0.3951, decode.d7.loss_dice: 0.6081, decode.d8.loss_cls: 0.1430, decode.d8.loss_mask: 0.3957, decode.d8.loss_dice: 0.6116, loss: 12.7564, grad_norm: 46.4097 2023-11-12 18:56:49,511 - mmseg - INFO - Iter [145700/160000] lr: 8.938e-06, eta: 1:58:54, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1296, decode.loss_mask: 0.3873, decode.loss_dice: 0.5976, decode.d0.loss_cls: 1.0832, decode.d0.loss_mask: 0.4165, decode.d0.loss_dice: 0.6456, decode.d1.loss_cls: 0.1889, decode.d1.loss_mask: 0.3956, decode.d1.loss_dice: 0.6212, decode.d2.loss_cls: 0.1597, decode.d2.loss_mask: 0.3907, decode.d2.loss_dice: 0.6140, decode.d3.loss_cls: 0.1460, decode.d3.loss_mask: 0.3901, decode.d3.loss_dice: 0.6010, decode.d4.loss_cls: 0.1413, decode.d4.loss_mask: 0.3884, decode.d4.loss_dice: 0.5995, decode.d5.loss_cls: 0.1332, decode.d5.loss_mask: 0.3881, decode.d5.loss_dice: 0.5996, decode.d6.loss_cls: 0.1343, decode.d6.loss_mask: 0.3886, decode.d6.loss_dice: 0.5990, decode.d7.loss_cls: 0.1273, decode.d7.loss_mask: 0.3879, decode.d7.loss_dice: 0.5962, decode.d8.loss_cls: 0.1286, decode.d8.loss_mask: 0.3884, decode.d8.loss_dice: 0.5963, loss: 12.3638, grad_norm: 45.4283 2023-11-12 18:57:13,244 - mmseg - INFO - Iter [145750/160000] lr: 8.907e-06, eta: 1:58:29, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1287, decode.loss_mask: 0.4133, decode.loss_dice: 0.6224, decode.d0.loss_cls: 1.0824, decode.d0.loss_mask: 0.4472, decode.d0.loss_dice: 0.6708, decode.d1.loss_cls: 0.1936, decode.d1.loss_mask: 0.4290, decode.d1.loss_dice: 0.6369, decode.d2.loss_cls: 0.1656, decode.d2.loss_mask: 0.4208, decode.d2.loss_dice: 0.6302, decode.d3.loss_cls: 0.1522, decode.d3.loss_mask: 0.4165, decode.d3.loss_dice: 0.6240, decode.d4.loss_cls: 0.1467, decode.d4.loss_mask: 0.4168, decode.d4.loss_dice: 0.6235, decode.d5.loss_cls: 0.1390, decode.d5.loss_mask: 0.4138, decode.d5.loss_dice: 0.6227, decode.d6.loss_cls: 0.1371, decode.d6.loss_mask: 0.4139, decode.d6.loss_dice: 0.6213, decode.d7.loss_cls: 0.1331, decode.d7.loss_mask: 0.4143, decode.d7.loss_dice: 0.6191, decode.d8.loss_cls: 0.1312, decode.d8.loss_mask: 0.4138, decode.d8.loss_dice: 0.6224, loss: 12.9027, grad_norm: 54.7840 2023-11-12 18:57:36,917 - mmseg - INFO - Iter [145800/160000] lr: 8.876e-06, eta: 1:58:04, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1304, decode.loss_mask: 0.4039, decode.loss_dice: 0.6152, decode.d0.loss_cls: 1.0802, decode.d0.loss_mask: 0.4336, decode.d0.loss_dice: 0.6646, decode.d1.loss_cls: 0.1795, decode.d1.loss_mask: 0.4169, decode.d1.loss_dice: 0.6450, decode.d2.loss_cls: 0.1605, decode.d2.loss_mask: 0.4097, decode.d2.loss_dice: 0.6314, decode.d3.loss_cls: 0.1462, decode.d3.loss_mask: 0.4073, decode.d3.loss_dice: 0.6162, decode.d4.loss_cls: 0.1440, decode.d4.loss_mask: 0.4067, decode.d4.loss_dice: 0.6164, decode.d5.loss_cls: 0.1342, decode.d5.loss_mask: 0.4038, decode.d5.loss_dice: 0.6135, decode.d6.loss_cls: 0.1323, decode.d6.loss_mask: 0.4031, decode.d6.loss_dice: 0.6150, decode.d7.loss_cls: 0.1386, decode.d7.loss_mask: 0.4027, decode.d7.loss_dice: 0.6111, decode.d8.loss_cls: 0.1320, decode.d8.loss_mask: 0.4021, decode.d8.loss_dice: 0.6122, loss: 12.7086, grad_norm: 44.3731 2023-11-12 18:58:00,642 - mmseg - INFO - Iter [145850/160000] lr: 8.844e-06, eta: 1:57:39, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1416, decode.loss_mask: 0.4073, decode.loss_dice: 0.6134, decode.d0.loss_cls: 1.0671, decode.d0.loss_mask: 0.4383, decode.d0.loss_dice: 0.6621, decode.d1.loss_cls: 0.1961, decode.d1.loss_mask: 0.4192, decode.d1.loss_dice: 0.6366, decode.d2.loss_cls: 0.1647, decode.d2.loss_mask: 0.4153, decode.d2.loss_dice: 0.6282, decode.d3.loss_cls: 0.1530, decode.d3.loss_mask: 0.4098, decode.d3.loss_dice: 0.6172, decode.d4.loss_cls: 0.1444, decode.d4.loss_mask: 0.4104, decode.d4.loss_dice: 0.6210, decode.d5.loss_cls: 0.1413, decode.d5.loss_mask: 0.4092, decode.d5.loss_dice: 0.6205, decode.d6.loss_cls: 0.1394, decode.d6.loss_mask: 0.4082, decode.d6.loss_dice: 0.6176, decode.d7.loss_cls: 0.1418, decode.d7.loss_mask: 0.4078, decode.d7.loss_dice: 0.6129, decode.d8.loss_cls: 0.1399, decode.d8.loss_mask: 0.4075, decode.d8.loss_dice: 0.6166, loss: 12.8081, grad_norm: 47.2045 2023-11-12 18:58:24,470 - mmseg - INFO - Iter [145900/160000] lr: 8.813e-06, eta: 1:57:14, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1454, decode.loss_mask: 0.4135, decode.loss_dice: 0.6101, decode.d0.loss_cls: 1.1227, decode.d0.loss_mask: 0.4429, decode.d0.loss_dice: 0.6581, decode.d1.loss_cls: 0.2002, decode.d1.loss_mask: 0.4224, decode.d1.loss_dice: 0.6294, decode.d2.loss_cls: 0.1731, decode.d2.loss_mask: 0.4191, decode.d2.loss_dice: 0.6247, decode.d3.loss_cls: 0.1591, decode.d3.loss_mask: 0.4167, decode.d3.loss_dice: 0.6139, decode.d4.loss_cls: 0.1525, decode.d4.loss_mask: 0.4152, decode.d4.loss_dice: 0.6100, decode.d5.loss_cls: 0.1496, decode.d5.loss_mask: 0.4149, decode.d5.loss_dice: 0.6105, decode.d6.loss_cls: 0.1465, decode.d6.loss_mask: 0.4140, decode.d6.loss_dice: 0.6058, decode.d7.loss_cls: 0.1434, decode.d7.loss_mask: 0.4134, decode.d7.loss_dice: 0.6071, decode.d8.loss_cls: 0.1420, decode.d8.loss_mask: 0.4138, decode.d8.loss_dice: 0.6066, loss: 12.8968, grad_norm: 46.0860 2023-11-12 18:58:48,157 - mmseg - INFO - Iter [145950/160000] lr: 8.782e-06, eta: 1:56:48, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1276, decode.loss_mask: 0.4089, decode.loss_dice: 0.6273, decode.d0.loss_cls: 1.0936, decode.d0.loss_mask: 0.4334, decode.d0.loss_dice: 0.6761, decode.d1.loss_cls: 0.1809, decode.d1.loss_mask: 0.4202, decode.d1.loss_dice: 0.6531, decode.d2.loss_cls: 0.1578, decode.d2.loss_mask: 0.4140, decode.d2.loss_dice: 0.6396, decode.d3.loss_cls: 0.1427, decode.d3.loss_mask: 0.4111, decode.d3.loss_dice: 0.6279, decode.d4.loss_cls: 0.1399, decode.d4.loss_mask: 0.4111, decode.d4.loss_dice: 0.6313, decode.d5.loss_cls: 0.1307, decode.d5.loss_mask: 0.4095, decode.d5.loss_dice: 0.6281, decode.d6.loss_cls: 0.1321, decode.d6.loss_mask: 0.4096, decode.d6.loss_dice: 0.6255, decode.d7.loss_cls: 0.1289, decode.d7.loss_mask: 0.4081, decode.d7.loss_dice: 0.6277, decode.d8.loss_cls: 0.1265, decode.d8.loss_mask: 0.4087, decode.d8.loss_dice: 0.6280, loss: 12.8599, grad_norm: 46.5372 2023-11-12 18:59:11,728 - mmseg - INFO - Saving checkpoint at 146000 iterations 2023-11-12 18:59:16,095 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 18:59:16,095 - mmseg - INFO - Iter [146000/160000] lr: 8.751e-06, eta: 1:56:24, time: 0.559, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1262, decode.loss_mask: 0.3997, decode.loss_dice: 0.6036, decode.d0.loss_cls: 1.0594, decode.d0.loss_mask: 0.4302, decode.d0.loss_dice: 0.6493, decode.d1.loss_cls: 0.1816, decode.d1.loss_mask: 0.4113, decode.d1.loss_dice: 0.6280, decode.d2.loss_cls: 0.1527, decode.d2.loss_mask: 0.4046, decode.d2.loss_dice: 0.6131, decode.d3.loss_cls: 0.1447, decode.d3.loss_mask: 0.4023, decode.d3.loss_dice: 0.6053, decode.d4.loss_cls: 0.1355, decode.d4.loss_mask: 0.4015, decode.d4.loss_dice: 0.6065, decode.d5.loss_cls: 0.1333, decode.d5.loss_mask: 0.4014, decode.d5.loss_dice: 0.6018, decode.d6.loss_cls: 0.1329, decode.d6.loss_mask: 0.4001, decode.d6.loss_dice: 0.6001, decode.d7.loss_cls: 0.1277, decode.d7.loss_mask: 0.4006, decode.d7.loss_dice: 0.6016, decode.d8.loss_cls: 0.1282, decode.d8.loss_mask: 0.3995, decode.d8.loss_dice: 0.5992, loss: 12.4818, grad_norm: 46.9010 2023-11-12 18:59:35,218 - mmseg - INFO - per class results: 2023-11-12 18:59:35,223 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.48 | 88.14 | | building | 83.27 | 91.27 | | sky | 94.73 | 97.29 | | floor | 83.67 | 91.11 | | tree | 75.4 | 87.73 | | ceiling | 84.55 | 90.45 | | road | 85.77 | 90.99 | | bed | 90.79 | 96.07 | | windowpane | 64.07 | 81.52 | | grass | 66.55 | 77.83 | | cabinet | 63.38 | 75.08 | | sidewalk | 67.74 | 80.99 | | person | 84.47 | 93.55 | | earth | 42.72 | 61.32 | | door | 53.25 | 70.13 | | table | 66.69 | 79.98 | | mountain | 63.63 | 77.54 | | plant | 52.05 | 68.14 | | curtain | 76.71 | 87.0 | | chair | 63.56 | 74.57 | | car | 86.0 | 92.48 | | water | 49.49 | 62.54 | | painting | 77.34 | 90.07 | | sofa | 68.44 | 81.62 | | shelf | 43.33 | 58.16 | | house | 45.13 | 76.49 | | sea | 58.17 | 90.59 | | mirror | 70.75 | 80.23 | | rug | 66.96 | 79.57 | | field | 31.85 | 50.51 | | armchair | 48.23 | 69.87 | | seat | 57.85 | 79.44 | | fence | 52.05 | 69.08 | | desk | 54.73 | 74.66 | | rock | 46.43 | 71.18 | | wardrobe | 46.52 | 67.71 | | lamp | 72.77 | 85.06 | | bathtub | 85.26 | 90.5 | | railing | 36.92 | 52.86 | | cushion | 66.04 | 78.8 | | base | 37.08 | 64.5 | | box | 27.84 | 38.86 | | column | 47.48 | 58.72 | | signboard | 35.12 | 52.95 | | chest of drawers | 41.36 | 61.77 | | counter | 22.37 | 26.61 | | sand | 33.89 | 45.47 | | sink | 80.41 | 84.76 | | skyscraper | 36.25 | 41.64 | | fireplace | 74.1 | 97.09 | | refrigerator | 77.11 | 83.44 | | grandstand | 41.5 | 75.09 | | path | 29.87 | 46.49 | | stairs | 31.54 | 41.2 | | runway | 77.19 | 92.32 | | case | 64.57 | 80.76 | | pool table | 94.33 | 96.78 | | pillow | 60.34 | 73.96 | | screen door | 41.86 | 45.24 | | stairway | 31.51 | 41.21 | | river | 16.24 | 26.7 | | bridge | 77.19 | 86.31 | | bookcase | 36.99 | 61.4 | | blind | 44.46 | 47.89 | | coffee table | 66.22 | 85.2 | | toilet | 88.87 | 91.61 | | flower | 45.81 | 67.03 | | book | 50.49 | 73.87 | | hill | 6.37 | 11.96 | | bench | 56.57 | 71.4 | | countertop | 65.87 | 77.61 | | stove | 83.64 | 89.02 | | palm | 56.15 | 71.18 | | kitchen island | 49.19 | 95.51 | | computer | 71.27 | 78.85 | | swivel chair | 38.69 | 58.18 | | boat | 48.19 | 54.02 | | bar | 52.16 | 70.56 | | arcade machine | 85.42 | 90.78 | | hovel | 25.85 | 41.36 | | bus | 94.16 | 96.48 | | towel | 65.89 | 80.93 | | light | 61.92 | 72.48 | | truck | 35.19 | 57.56 | | tower | 35.91 | 63.54 | | chandelier | 72.86 | 87.17 | | awning | 34.05 | 44.4 | | streetlight | 42.73 | 63.4 | | booth | 34.72 | 69.79 | | television receiver | 76.31 | 84.19 | | airplane | 66.44 | 73.11 | | dirt track | 19.34 | 54.62 | | apparel | 29.93 | 48.46 | | pole | 32.56 | 48.77 | | land | 4.97 | 5.83 | | bannister | 19.59 | 32.38 | | escalator | 20.3 | 21.31 | | ottoman | 57.55 | 75.36 | | bottle | 28.82 | 36.28 | | buffet | 42.14 | 58.5 | | poster | 19.06 | 31.38 | | stage | 19.9 | 32.43 | | van | 47.15 | 62.47 | | ship | 6.86 | 14.26 | | fountain | 20.59 | 21.89 | | conveyer belt | 58.09 | 94.44 | | canopy | 26.53 | 36.62 | | washer | 71.44 | 73.58 | | plaything | 27.17 | 36.36 | | swimming pool | 64.02 | 70.08 | | stool | 43.24 | 72.47 | | barrel | 70.62 | 74.81 | | basket | 35.93 | 44.82 | | waterfall | 64.47 | 92.05 | | tent | 95.41 | 98.21 | | bag | 16.68 | 20.01 | | minibike | 73.79 | 91.66 | | cradle | 76.94 | 97.57 | | oven | 24.61 | 67.88 | | ball | 55.65 | 68.03 | | food | 58.85 | 70.7 | | step | 21.32 | 27.09 | | tank | 63.32 | 66.11 | | trade name | 33.26 | 41.86 | | microwave | 42.13 | 46.45 | | pot | 49.41 | 56.29 | | animal | 54.97 | 55.9 | | bicycle | 55.94 | 76.73 | | lake | 55.95 | 63.62 | | dishwasher | 78.72 | 84.49 | | screen | 62.67 | 93.07 | | blanket | 31.06 | 38.75 | | sculpture | 68.77 | 86.76 | | hood | 84.57 | 92.52 | | sconce | 55.44 | 66.92 | | vase | 49.75 | 67.24 | | traffic light | 45.08 | 66.61 | | tray | 14.38 | 29.22 | | ashcan | 53.75 | 66.67 | | fan | 70.71 | 84.92 | | pier | 33.99 | 44.16 | | crt screen | 2.6 | 7.69 | | plate | 59.03 | 72.26 | | monitor | 10.83 | 14.34 | | bulletin board | 53.63 | 73.57 | | shower | 1.77 | 25.36 | | radiator | 71.54 | 82.42 | | glass | 21.26 | 22.73 | | clock | 57.99 | 69.05 | | flag | 46.8 | 52.58 | +---------------------+-------+-------+ 2023-11-12 18:59:35,223 - mmseg - INFO - Summary: 2023-11-12 18:59:35,223 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 84.1 | 52.41 | 65.89 | +------+-------+-------+ 2023-11-12 18:59:35,224 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 18:59:35,224 - mmseg - INFO - Iter(val) [250] aAcc: 0.8410, mIoU: 0.5241, mAcc: 0.6589, IoU.wall: 0.7948, IoU.building: 0.8327, IoU.sky: 0.9473, IoU.floor: 0.8367, IoU.tree: 0.7540, IoU.ceiling: 0.8455, IoU.road: 0.8577, IoU.bed : 0.9079, IoU.windowpane: 0.6407, IoU.grass: 0.6655, IoU.cabinet: 0.6338, IoU.sidewalk: 0.6774, IoU.person: 0.8447, IoU.earth: 0.4272, IoU.door: 0.5325, IoU.table: 0.6669, IoU.mountain: 0.6363, IoU.plant: 0.5205, IoU.curtain: 0.7671, IoU.chair: 0.6356, IoU.car: 0.8600, IoU.water: 0.4949, IoU.painting: 0.7734, IoU.sofa: 0.6844, IoU.shelf: 0.4333, IoU.house: 0.4513, IoU.sea: 0.5817, IoU.mirror: 0.7075, IoU.rug: 0.6696, IoU.field: 0.3185, IoU.armchair: 0.4823, IoU.seat: 0.5785, IoU.fence: 0.5205, IoU.desk: 0.5473, IoU.rock: 0.4643, IoU.wardrobe: 0.4652, IoU.lamp: 0.7277, IoU.bathtub: 0.8526, IoU.railing: 0.3692, IoU.cushion: 0.6604, IoU.base: 0.3708, IoU.box: 0.2784, IoU.column: 0.4748, IoU.signboard: 0.3512, IoU.chest of drawers: 0.4136, IoU.counter: 0.2237, IoU.sand: 0.3389, IoU.sink: 0.8041, IoU.skyscraper: 0.3625, IoU.fireplace: 0.7410, IoU.refrigerator: 0.7711, IoU.grandstand: 0.4150, IoU.path: 0.2987, IoU.stairs: 0.3154, IoU.runway: 0.7719, IoU.case: 0.6457, IoU.pool table: 0.9433, IoU.pillow: 0.6034, IoU.screen door: 0.4186, IoU.stairway: 0.3151, IoU.river: 0.1624, IoU.bridge: 0.7719, IoU.bookcase: 0.3699, IoU.blind: 0.4446, IoU.coffee table: 0.6622, IoU.toilet: 0.8887, IoU.flower: 0.4581, IoU.book: 0.5049, IoU.hill: 0.0637, IoU.bench: 0.5657, IoU.countertop: 0.6587, IoU.stove: 0.8364, IoU.palm: 0.5615, IoU.kitchen island: 0.4919, IoU.computer: 0.7127, IoU.swivel chair: 0.3869, IoU.boat: 0.4819, IoU.bar: 0.5216, IoU.arcade machine: 0.8542, IoU.hovel: 0.2585, IoU.bus: 0.9416, IoU.towel: 0.6589, IoU.light: 0.6192, IoU.truck: 0.3519, IoU.tower: 0.3591, IoU.chandelier: 0.7286, IoU.awning: 0.3405, IoU.streetlight: 0.4273, IoU.booth: 0.3472, IoU.television receiver: 0.7631, IoU.airplane: 0.6644, IoU.dirt track: 0.1934, IoU.apparel: 0.2993, IoU.pole: 0.3256, IoU.land: 0.0497, IoU.bannister: 0.1959, IoU.escalator: 0.2030, IoU.ottoman: 0.5755, IoU.bottle: 0.2882, IoU.buffet: 0.4214, IoU.poster: 0.1906, IoU.stage: 0.1990, IoU.van: 0.4715, IoU.ship: 0.0686, IoU.fountain: 0.2059, IoU.conveyer belt: 0.5809, IoU.canopy: 0.2653, IoU.washer: 0.7144, IoU.plaything: 0.2717, IoU.swimming pool: 0.6402, IoU.stool: 0.4324, IoU.barrel: 0.7062, IoU.basket: 0.3593, IoU.waterfall: 0.6447, IoU.tent: 0.9541, IoU.bag: 0.1668, IoU.minibike: 0.7379, IoU.cradle: 0.7694, IoU.oven: 0.2461, IoU.ball: 0.5565, IoU.food: 0.5885, IoU.step: 0.2132, IoU.tank: 0.6332, IoU.trade name: 0.3326, IoU.microwave: 0.4213, IoU.pot: 0.4941, IoU.animal: 0.5497, IoU.bicycle: 0.5594, IoU.lake: 0.5595, IoU.dishwasher: 0.7872, IoU.screen: 0.6267, IoU.blanket: 0.3106, IoU.sculpture: 0.6877, IoU.hood: 0.8457, IoU.sconce: 0.5544, IoU.vase: 0.4975, IoU.traffic light: 0.4508, IoU.tray: 0.1438, IoU.ashcan: 0.5375, IoU.fan: 0.7071, IoU.pier: 0.3399, IoU.crt screen: 0.0260, IoU.plate: 0.5903, IoU.monitor: 0.1083, IoU.bulletin board: 0.5363, IoU.shower: 0.0177, IoU.radiator: 0.7154, IoU.glass: 0.2126, IoU.clock: 0.5799, IoU.flag: 0.4680, Acc.wall: 0.8814, Acc.building: 0.9127, Acc.sky: 0.9729, Acc.floor: 0.9111, Acc.tree: 0.8773, Acc.ceiling: 0.9045, Acc.road: 0.9099, Acc.bed : 0.9607, Acc.windowpane: 0.8152, Acc.grass: 0.7783, Acc.cabinet: 0.7508, Acc.sidewalk: 0.8099, Acc.person: 0.9355, Acc.earth: 0.6132, Acc.door: 0.7013, Acc.table: 0.7998, Acc.mountain: 0.7754, Acc.plant: 0.6814, Acc.curtain: 0.8700, Acc.chair: 0.7457, Acc.car: 0.9248, Acc.water: 0.6254, Acc.painting: 0.9007, Acc.sofa: 0.8162, Acc.shelf: 0.5816, Acc.house: 0.7649, Acc.sea: 0.9059, Acc.mirror: 0.8023, Acc.rug: 0.7957, Acc.field: 0.5051, Acc.armchair: 0.6987, Acc.seat: 0.7944, Acc.fence: 0.6908, Acc.desk: 0.7466, Acc.rock: 0.7118, Acc.wardrobe: 0.6771, Acc.lamp: 0.8506, Acc.bathtub: 0.9050, Acc.railing: 0.5286, Acc.cushion: 0.7880, Acc.base: 0.6450, Acc.box: 0.3886, Acc.column: 0.5872, Acc.signboard: 0.5295, Acc.chest of drawers: 0.6177, Acc.counter: 0.2661, Acc.sand: 0.4547, Acc.sink: 0.8476, Acc.skyscraper: 0.4164, Acc.fireplace: 0.9709, Acc.refrigerator: 0.8344, Acc.grandstand: 0.7509, Acc.path: 0.4649, Acc.stairs: 0.4120, Acc.runway: 0.9232, Acc.case: 0.8076, Acc.pool table: 0.9678, Acc.pillow: 0.7396, Acc.screen door: 0.4524, Acc.stairway: 0.4121, Acc.river: 0.2670, Acc.bridge: 0.8631, Acc.bookcase: 0.6140, Acc.blind: 0.4789, Acc.coffee table: 0.8520, Acc.toilet: 0.9161, Acc.flower: 0.6703, Acc.book: 0.7387, Acc.hill: 0.1196, Acc.bench: 0.7140, Acc.countertop: 0.7761, Acc.stove: 0.8902, Acc.palm: 0.7118, Acc.kitchen island: 0.9551, Acc.computer: 0.7885, Acc.swivel chair: 0.5818, Acc.boat: 0.5402, Acc.bar: 0.7056, Acc.arcade machine: 0.9078, Acc.hovel: 0.4136, Acc.bus: 0.9648, Acc.towel: 0.8093, Acc.light: 0.7248, Acc.truck: 0.5756, Acc.tower: 0.6354, Acc.chandelier: 0.8717, Acc.awning: 0.4440, Acc.streetlight: 0.6340, Acc.booth: 0.6979, Acc.television receiver: 0.8419, Acc.airplane: 0.7311, Acc.dirt track: 0.5462, Acc.apparel: 0.4846, Acc.pole: 0.4877, Acc.land: 0.0583, Acc.bannister: 0.3238, Acc.escalator: 0.2131, Acc.ottoman: 0.7536, Acc.bottle: 0.3628, Acc.buffet: 0.5850, Acc.poster: 0.3138, Acc.stage: 0.3243, Acc.van: 0.6247, Acc.ship: 0.1426, Acc.fountain: 0.2189, Acc.conveyer belt: 0.9444, Acc.canopy: 0.3662, Acc.washer: 0.7358, Acc.plaything: 0.3636, Acc.swimming pool: 0.7008, Acc.stool: 0.7247, Acc.barrel: 0.7481, Acc.basket: 0.4482, Acc.waterfall: 0.9205, Acc.tent: 0.9821, Acc.bag: 0.2001, Acc.minibike: 0.9166, Acc.cradle: 0.9757, Acc.oven: 0.6788, Acc.ball: 0.6803, Acc.food: 0.7070, Acc.step: 0.2709, Acc.tank: 0.6611, Acc.trade name: 0.4186, Acc.microwave: 0.4645, Acc.pot: 0.5629, Acc.animal: 0.5590, Acc.bicycle: 0.7673, Acc.lake: 0.6362, Acc.dishwasher: 0.8449, Acc.screen: 0.9307, Acc.blanket: 0.3875, Acc.sculpture: 0.8676, Acc.hood: 0.9252, Acc.sconce: 0.6692, Acc.vase: 0.6724, Acc.traffic light: 0.6661, Acc.tray: 0.2922, Acc.ashcan: 0.6667, Acc.fan: 0.8492, Acc.pier: 0.4416, Acc.crt screen: 0.0769, Acc.plate: 0.7226, Acc.monitor: 0.1434, Acc.bulletin board: 0.7357, Acc.shower: 0.2536, Acc.radiator: 0.8242, Acc.glass: 0.2273, Acc.clock: 0.6905, Acc.flag: 0.5258 2023-11-12 18:59:59,177 - mmseg - INFO - Iter [146050/160000] lr: 8.719e-06, eta: 1:56:01, time: 0.862, data_time: 0.395, memory: 41146, decode.loss_cls: 0.1285, decode.loss_mask: 0.3928, decode.loss_dice: 0.6028, decode.d0.loss_cls: 1.1068, decode.d0.loss_mask: 0.4205, decode.d0.loss_dice: 0.6481, decode.d1.loss_cls: 0.1865, decode.d1.loss_mask: 0.4034, decode.d1.loss_dice: 0.6344, decode.d2.loss_cls: 0.1601, decode.d2.loss_mask: 0.3980, decode.d2.loss_dice: 0.6172, decode.d3.loss_cls: 0.1442, decode.d3.loss_mask: 0.3963, decode.d3.loss_dice: 0.6074, decode.d4.loss_cls: 0.1378, decode.d4.loss_mask: 0.3954, decode.d4.loss_dice: 0.6058, decode.d5.loss_cls: 0.1339, decode.d5.loss_mask: 0.3930, decode.d5.loss_dice: 0.6082, decode.d6.loss_cls: 0.1338, decode.d6.loss_mask: 0.3935, decode.d6.loss_dice: 0.6072, decode.d7.loss_cls: 0.1308, decode.d7.loss_mask: 0.3936, decode.d7.loss_dice: 0.6099, decode.d8.loss_cls: 0.1293, decode.d8.loss_mask: 0.3926, decode.d8.loss_dice: 0.6063, loss: 12.5178, grad_norm: 40.3846 2023-11-12 19:00:22,957 - mmseg - INFO - Iter [146100/160000] lr: 8.688e-06, eta: 1:55:36, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1321, decode.loss_mask: 0.4084, decode.loss_dice: 0.6028, decode.d0.loss_cls: 1.0601, decode.d0.loss_mask: 0.4354, decode.d0.loss_dice: 0.6525, decode.d1.loss_cls: 0.1856, decode.d1.loss_mask: 0.4185, decode.d1.loss_dice: 0.6263, decode.d2.loss_cls: 0.1545, decode.d2.loss_mask: 0.4129, decode.d2.loss_dice: 0.6133, decode.d3.loss_cls: 0.1434, decode.d3.loss_mask: 0.4088, decode.d3.loss_dice: 0.6106, decode.d4.loss_cls: 0.1432, decode.d4.loss_mask: 0.4079, decode.d4.loss_dice: 0.6091, decode.d5.loss_cls: 0.1385, decode.d5.loss_mask: 0.4099, decode.d5.loss_dice: 0.6092, decode.d6.loss_cls: 0.1366, decode.d6.loss_mask: 0.4085, decode.d6.loss_dice: 0.6008, decode.d7.loss_cls: 0.1337, decode.d7.loss_mask: 0.4085, decode.d7.loss_dice: 0.6023, decode.d8.loss_cls: 0.1315, decode.d8.loss_mask: 0.4097, decode.d8.loss_dice: 0.6060, loss: 12.6205, grad_norm: 45.0222 2023-11-12 19:00:46,629 - mmseg - INFO - Iter [146150/160000] lr: 8.657e-06, eta: 1:55:10, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1260, decode.loss_mask: 0.4004, decode.loss_dice: 0.6114, decode.d0.loss_cls: 1.0909, decode.d0.loss_mask: 0.4309, decode.d0.loss_dice: 0.6597, decode.d1.loss_cls: 0.1853, decode.d1.loss_mask: 0.4108, decode.d1.loss_dice: 0.6357, decode.d2.loss_cls: 0.1565, decode.d2.loss_mask: 0.4046, decode.d2.loss_dice: 0.6190, decode.d3.loss_cls: 0.1398, decode.d3.loss_mask: 0.4024, decode.d3.loss_dice: 0.6158, decode.d4.loss_cls: 0.1335, decode.d4.loss_mask: 0.4004, decode.d4.loss_dice: 0.6104, decode.d5.loss_cls: 0.1320, decode.d5.loss_mask: 0.4012, decode.d5.loss_dice: 0.6157, decode.d6.loss_cls: 0.1288, decode.d6.loss_mask: 0.4010, decode.d6.loss_dice: 0.6093, decode.d7.loss_cls: 0.1325, decode.d7.loss_mask: 0.3992, decode.d7.loss_dice: 0.6065, decode.d8.loss_cls: 0.1297, decode.d8.loss_mask: 0.4009, decode.d8.loss_dice: 0.6089, loss: 12.5992, grad_norm: 45.9209 2023-11-12 19:01:10,252 - mmseg - INFO - Iter [146200/160000] lr: 8.626e-06, eta: 1:54:45, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1243, decode.loss_mask: 0.3922, decode.loss_dice: 0.6050, decode.d0.loss_cls: 1.1045, decode.d0.loss_mask: 0.4219, decode.d0.loss_dice: 0.6506, decode.d1.loss_cls: 0.1841, decode.d1.loss_mask: 0.4028, decode.d1.loss_dice: 0.6335, decode.d2.loss_cls: 0.1537, decode.d2.loss_mask: 0.3970, decode.d2.loss_dice: 0.6213, decode.d3.loss_cls: 0.1406, decode.d3.loss_mask: 0.3944, decode.d3.loss_dice: 0.6126, decode.d4.loss_cls: 0.1324, decode.d4.loss_mask: 0.3942, decode.d4.loss_dice: 0.6128, decode.d5.loss_cls: 0.1289, decode.d5.loss_mask: 0.3926, decode.d5.loss_dice: 0.6069, decode.d6.loss_cls: 0.1291, decode.d6.loss_mask: 0.3923, decode.d6.loss_dice: 0.6037, decode.d7.loss_cls: 0.1281, decode.d7.loss_mask: 0.3918, decode.d7.loss_dice: 0.6046, decode.d8.loss_cls: 0.1247, decode.d8.loss_mask: 0.3915, decode.d8.loss_dice: 0.6065, loss: 12.4786, grad_norm: 45.5428 2023-11-12 19:01:33,785 - mmseg - INFO - Iter [146250/160000] lr: 8.594e-06, eta: 1:54:20, time: 0.471, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1233, decode.loss_mask: 0.4046, decode.loss_dice: 0.6155, decode.d0.loss_cls: 1.0654, decode.d0.loss_mask: 0.4336, decode.d0.loss_dice: 0.6650, decode.d1.loss_cls: 0.1795, decode.d1.loss_mask: 0.4164, decode.d1.loss_dice: 0.6444, decode.d2.loss_cls: 0.1534, decode.d2.loss_mask: 0.4101, decode.d2.loss_dice: 0.6287, decode.d3.loss_cls: 0.1390, decode.d3.loss_mask: 0.4061, decode.d3.loss_dice: 0.6184, decode.d4.loss_cls: 0.1300, decode.d4.loss_mask: 0.4063, decode.d4.loss_dice: 0.6197, decode.d5.loss_cls: 0.1281, decode.d5.loss_mask: 0.4059, decode.d5.loss_dice: 0.6159, decode.d6.loss_cls: 0.1277, decode.d6.loss_mask: 0.4052, decode.d6.loss_dice: 0.6156, decode.d7.loss_cls: 0.1235, decode.d7.loss_mask: 0.4041, decode.d7.loss_dice: 0.6177, decode.d8.loss_cls: 0.1198, decode.d8.loss_mask: 0.4044, decode.d8.loss_dice: 0.6180, loss: 12.6452, grad_norm: 46.9199 2023-11-12 19:01:57,661 - mmseg - INFO - Iter [146300/160000] lr: 8.563e-06, eta: 1:53:55, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1300, decode.loss_mask: 0.3993, decode.loss_dice: 0.6115, decode.d0.loss_cls: 1.0789, decode.d0.loss_mask: 0.4328, decode.d0.loss_dice: 0.6608, decode.d1.loss_cls: 0.1933, decode.d1.loss_mask: 0.4114, decode.d1.loss_dice: 0.6340, decode.d2.loss_cls: 0.1599, decode.d2.loss_mask: 0.4049, decode.d2.loss_dice: 0.6227, decode.d3.loss_cls: 0.1442, decode.d3.loss_mask: 0.4029, decode.d3.loss_dice: 0.6135, decode.d4.loss_cls: 0.1401, decode.d4.loss_mask: 0.4000, decode.d4.loss_dice: 0.6102, decode.d5.loss_cls: 0.1357, decode.d5.loss_mask: 0.3999, decode.d5.loss_dice: 0.6076, decode.d6.loss_cls: 0.1332, decode.d6.loss_mask: 0.3996, decode.d6.loss_dice: 0.6095, decode.d7.loss_cls: 0.1332, decode.d7.loss_mask: 0.3992, decode.d7.loss_dice: 0.6135, decode.d8.loss_cls: 0.1288, decode.d8.loss_mask: 0.4000, decode.d8.loss_dice: 0.6119, loss: 12.6225, grad_norm: 42.4711 2023-11-12 19:02:21,233 - mmseg - INFO - Iter [146350/160000] lr: 8.532e-06, eta: 1:53:30, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1407, decode.loss_mask: 0.4044, decode.loss_dice: 0.6242, decode.d0.loss_cls: 1.0898, decode.d0.loss_mask: 0.4377, decode.d0.loss_dice: 0.6757, decode.d1.loss_cls: 0.2156, decode.d1.loss_mask: 0.4146, decode.d1.loss_dice: 0.6482, decode.d2.loss_cls: 0.1786, decode.d2.loss_mask: 0.4094, decode.d2.loss_dice: 0.6384, decode.d3.loss_cls: 0.1651, decode.d3.loss_mask: 0.4056, decode.d3.loss_dice: 0.6305, decode.d4.loss_cls: 0.1568, decode.d4.loss_mask: 0.4060, decode.d4.loss_dice: 0.6240, decode.d5.loss_cls: 0.1528, decode.d5.loss_mask: 0.4060, decode.d5.loss_dice: 0.6260, decode.d6.loss_cls: 0.1428, decode.d6.loss_mask: 0.4045, decode.d6.loss_dice: 0.6220, decode.d7.loss_cls: 0.1454, decode.d7.loss_mask: 0.4044, decode.d7.loss_dice: 0.6213, decode.d8.loss_cls: 0.1442, decode.d8.loss_mask: 0.4041, decode.d8.loss_dice: 0.6248, loss: 12.9638, grad_norm: 51.6257 2023-11-12 19:02:44,941 - mmseg - INFO - Iter [146400/160000] lr: 8.501e-06, eta: 1:53:05, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1341, decode.loss_mask: 0.3866, decode.loss_dice: 0.5983, decode.d0.loss_cls: 1.1047, decode.d0.loss_mask: 0.4147, decode.d0.loss_dice: 0.6495, decode.d1.loss_cls: 0.1921, decode.d1.loss_mask: 0.3998, decode.d1.loss_dice: 0.6293, decode.d2.loss_cls: 0.1624, decode.d2.loss_mask: 0.3930, decode.d2.loss_dice: 0.6140, decode.d3.loss_cls: 0.1513, decode.d3.loss_mask: 0.3891, decode.d3.loss_dice: 0.6035, decode.d4.loss_cls: 0.1478, decode.d4.loss_mask: 0.3894, decode.d4.loss_dice: 0.6018, decode.d5.loss_cls: 0.1428, decode.d5.loss_mask: 0.3874, decode.d5.loss_dice: 0.6034, decode.d6.loss_cls: 0.1394, decode.d6.loss_mask: 0.3875, decode.d6.loss_dice: 0.6008, decode.d7.loss_cls: 0.1363, decode.d7.loss_mask: 0.3849, decode.d7.loss_dice: 0.5982, decode.d8.loss_cls: 0.1353, decode.d8.loss_mask: 0.3865, decode.d8.loss_dice: 0.6005, loss: 12.4642, grad_norm: 44.4169 2023-11-12 19:03:08,955 - mmseg - INFO - Iter [146450/160000] lr: 8.469e-06, eta: 1:52:40, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1398, decode.loss_mask: 0.3945, decode.loss_dice: 0.6204, decode.d0.loss_cls: 1.0949, decode.d0.loss_mask: 0.4268, decode.d0.loss_dice: 0.6793, decode.d1.loss_cls: 0.1972, decode.d1.loss_mask: 0.4081, decode.d1.loss_dice: 0.6507, decode.d2.loss_cls: 0.1685, decode.d2.loss_mask: 0.4025, decode.d2.loss_dice: 0.6354, decode.d3.loss_cls: 0.1533, decode.d3.loss_mask: 0.3987, decode.d3.loss_dice: 0.6247, decode.d4.loss_cls: 0.1467, decode.d4.loss_mask: 0.3968, decode.d4.loss_dice: 0.6221, decode.d5.loss_cls: 0.1436, decode.d5.loss_mask: 0.3967, decode.d5.loss_dice: 0.6250, decode.d6.loss_cls: 0.1482, decode.d6.loss_mask: 0.3950, decode.d6.loss_dice: 0.6194, decode.d7.loss_cls: 0.1416, decode.d7.loss_mask: 0.3949, decode.d7.loss_dice: 0.6226, decode.d8.loss_cls: 0.1399, decode.d8.loss_mask: 0.3952, decode.d8.loss_dice: 0.6196, loss: 12.8020, grad_norm: 50.2962 2023-11-12 19:03:32,826 - mmseg - INFO - Iter [146500/160000] lr: 8.438e-06, eta: 1:52:15, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1434, decode.loss_mask: 0.4033, decode.loss_dice: 0.6220, decode.d0.loss_cls: 1.0764, decode.d0.loss_mask: 0.4325, decode.d0.loss_dice: 0.6820, decode.d1.loss_cls: 0.1991, decode.d1.loss_mask: 0.4115, decode.d1.loss_dice: 0.6538, decode.d2.loss_cls: 0.1661, decode.d2.loss_mask: 0.4065, decode.d2.loss_dice: 0.6362, decode.d3.loss_cls: 0.1563, decode.d3.loss_mask: 0.4050, decode.d3.loss_dice: 0.6229, decode.d4.loss_cls: 0.1507, decode.d4.loss_mask: 0.4041, decode.d4.loss_dice: 0.6270, decode.d5.loss_cls: 0.1464, decode.d5.loss_mask: 0.4026, decode.d5.loss_dice: 0.6229, decode.d6.loss_cls: 0.1449, decode.d6.loss_mask: 0.4032, decode.d6.loss_dice: 0.6225, decode.d7.loss_cls: 0.1408, decode.d7.loss_mask: 0.4026, decode.d7.loss_dice: 0.6216, decode.d8.loss_cls: 0.1412, decode.d8.loss_mask: 0.4033, decode.d8.loss_dice: 0.6215, loss: 12.8722, grad_norm: 50.9625 2023-11-12 19:03:58,898 - mmseg - INFO - Iter [146550/160000] lr: 8.407e-06, eta: 1:51:50, time: 0.521, data_time: 0.057, memory: 41146, decode.loss_cls: 0.1339, decode.loss_mask: 0.3931, decode.loss_dice: 0.6103, decode.d0.loss_cls: 1.0838, decode.d0.loss_mask: 0.4239, decode.d0.loss_dice: 0.6647, decode.d1.loss_cls: 0.1850, decode.d1.loss_mask: 0.4051, decode.d1.loss_dice: 0.6370, decode.d2.loss_cls: 0.1582, decode.d2.loss_mask: 0.3982, decode.d2.loss_dice: 0.6287, decode.d3.loss_cls: 0.1475, decode.d3.loss_mask: 0.3959, decode.d3.loss_dice: 0.6195, decode.d4.loss_cls: 0.1462, decode.d4.loss_mask: 0.3954, decode.d4.loss_dice: 0.6121, decode.d5.loss_cls: 0.1357, decode.d5.loss_mask: 0.3940, decode.d5.loss_dice: 0.6166, decode.d6.loss_cls: 0.1348, decode.d6.loss_mask: 0.3938, decode.d6.loss_dice: 0.6127, decode.d7.loss_cls: 0.1335, decode.d7.loss_mask: 0.3935, decode.d7.loss_dice: 0.6156, decode.d8.loss_cls: 0.1350, decode.d8.loss_mask: 0.3927, decode.d8.loss_dice: 0.6078, loss: 12.6044, grad_norm: 44.6799 2023-11-12 19:04:22,578 - mmseg - INFO - Iter [146600/160000] lr: 8.376e-06, eta: 1:51:25, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1215, decode.loss_mask: 0.3832, decode.loss_dice: 0.6071, decode.d0.loss_cls: 1.0633, decode.d0.loss_mask: 0.4131, decode.d0.loss_dice: 0.6504, decode.d1.loss_cls: 0.1690, decode.d1.loss_mask: 0.3954, decode.d1.loss_dice: 0.6324, decode.d2.loss_cls: 0.1483, decode.d2.loss_mask: 0.3887, decode.d2.loss_dice: 0.6195, decode.d3.loss_cls: 0.1327, decode.d3.loss_mask: 0.3852, decode.d3.loss_dice: 0.6086, decode.d4.loss_cls: 0.1297, decode.d4.loss_mask: 0.3844, decode.d4.loss_dice: 0.6040, decode.d5.loss_cls: 0.1262, decode.d5.loss_mask: 0.3831, decode.d5.loss_dice: 0.6078, decode.d6.loss_cls: 0.1229, decode.d6.loss_mask: 0.3827, decode.d6.loss_dice: 0.6011, decode.d7.loss_cls: 0.1223, decode.d7.loss_mask: 0.3838, decode.d7.loss_dice: 0.6037, decode.d8.loss_cls: 0.1181, decode.d8.loss_mask: 0.3834, decode.d8.loss_dice: 0.6052, loss: 12.2766, grad_norm: 44.2141 2023-11-12 19:04:46,174 - mmseg - INFO - Iter [146650/160000] lr: 8.344e-06, eta: 1:51:00, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1399, decode.loss_mask: 0.4089, decode.loss_dice: 0.6281, decode.d0.loss_cls: 1.1006, decode.d0.loss_mask: 0.4344, decode.d0.loss_dice: 0.6796, decode.d1.loss_cls: 0.1958, decode.d1.loss_mask: 0.4177, decode.d1.loss_dice: 0.6561, decode.d2.loss_cls: 0.1734, decode.d2.loss_mask: 0.4132, decode.d2.loss_dice: 0.6422, decode.d3.loss_cls: 0.1537, decode.d3.loss_mask: 0.4123, decode.d3.loss_dice: 0.6320, decode.d4.loss_cls: 0.1547, decode.d4.loss_mask: 0.4112, decode.d4.loss_dice: 0.6354, decode.d5.loss_cls: 0.1495, decode.d5.loss_mask: 0.4093, decode.d5.loss_dice: 0.6308, decode.d6.loss_cls: 0.1421, decode.d6.loss_mask: 0.4088, decode.d6.loss_dice: 0.6305, decode.d7.loss_cls: 0.1429, decode.d7.loss_mask: 0.4084, decode.d7.loss_dice: 0.6304, decode.d8.loss_cls: 0.1400, decode.d8.loss_mask: 0.4083, decode.d8.loss_dice: 0.6281, loss: 13.0182, grad_norm: 45.3585 2023-11-12 19:05:09,968 - mmseg - INFO - Iter [146700/160000] lr: 8.313e-06, eta: 1:50:35, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1404, decode.loss_mask: 0.3987, decode.loss_dice: 0.6198, decode.d0.loss_cls: 1.0705, decode.d0.loss_mask: 0.4317, decode.d0.loss_dice: 0.6782, decode.d1.loss_cls: 0.1954, decode.d1.loss_mask: 0.4080, decode.d1.loss_dice: 0.6513, decode.d2.loss_cls: 0.1659, decode.d2.loss_mask: 0.4034, decode.d2.loss_dice: 0.6392, decode.d3.loss_cls: 0.1567, decode.d3.loss_mask: 0.3997, decode.d3.loss_dice: 0.6255, decode.d4.loss_cls: 0.1516, decode.d4.loss_mask: 0.4001, decode.d4.loss_dice: 0.6247, decode.d5.loss_cls: 0.1445, decode.d5.loss_mask: 0.3994, decode.d5.loss_dice: 0.6271, decode.d6.loss_cls: 0.1437, decode.d6.loss_mask: 0.3992, decode.d6.loss_dice: 0.6262, decode.d7.loss_cls: 0.1428, decode.d7.loss_mask: 0.3995, decode.d7.loss_dice: 0.6204, decode.d8.loss_cls: 0.1413, decode.d8.loss_mask: 0.3995, decode.d8.loss_dice: 0.6224, loss: 12.8267, grad_norm: 46.7008 2023-11-12 19:05:33,955 - mmseg - INFO - Iter [146750/160000] lr: 8.282e-06, eta: 1:50:10, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1322, decode.loss_mask: 0.4063, decode.loss_dice: 0.6154, decode.d0.loss_cls: 1.0776, decode.d0.loss_mask: 0.4400, decode.d0.loss_dice: 0.6734, decode.d1.loss_cls: 0.1846, decode.d1.loss_mask: 0.4185, decode.d1.loss_dice: 0.6477, decode.d2.loss_cls: 0.1571, decode.d2.loss_mask: 0.4141, decode.d2.loss_dice: 0.6324, decode.d3.loss_cls: 0.1425, decode.d3.loss_mask: 0.4084, decode.d3.loss_dice: 0.6240, decode.d4.loss_cls: 0.1457, decode.d4.loss_mask: 0.4083, decode.d4.loss_dice: 0.6209, decode.d5.loss_cls: 0.1371, decode.d5.loss_mask: 0.4090, decode.d5.loss_dice: 0.6224, decode.d6.loss_cls: 0.1368, decode.d6.loss_mask: 0.4077, decode.d6.loss_dice: 0.6149, decode.d7.loss_cls: 0.1342, decode.d7.loss_mask: 0.4079, decode.d7.loss_dice: 0.6197, decode.d8.loss_cls: 0.1337, decode.d8.loss_mask: 0.4084, decode.d8.loss_dice: 0.6186, loss: 12.7995, grad_norm: 46.4202 2023-11-12 19:05:57,584 - mmseg - INFO - Iter [146800/160000] lr: 8.251e-06, eta: 1:49:45, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1461, decode.loss_mask: 0.4021, decode.loss_dice: 0.6123, decode.d0.loss_cls: 1.1027, decode.d0.loss_mask: 0.4263, decode.d0.loss_dice: 0.6659, decode.d1.loss_cls: 0.2045, decode.d1.loss_mask: 0.4092, decode.d1.loss_dice: 0.6377, decode.d2.loss_cls: 0.1753, decode.d2.loss_mask: 0.4029, decode.d2.loss_dice: 0.6222, decode.d3.loss_cls: 0.1618, decode.d3.loss_mask: 0.4022, decode.d3.loss_dice: 0.6137, decode.d4.loss_cls: 0.1554, decode.d4.loss_mask: 0.4032, decode.d4.loss_dice: 0.6161, decode.d5.loss_cls: 0.1508, decode.d5.loss_mask: 0.4016, decode.d5.loss_dice: 0.6150, decode.d6.loss_cls: 0.1483, decode.d6.loss_mask: 0.4019, decode.d6.loss_dice: 0.6089, decode.d7.loss_cls: 0.1459, decode.d7.loss_mask: 0.4023, decode.d7.loss_dice: 0.6129, decode.d8.loss_cls: 0.1447, decode.d8.loss_mask: 0.4026, decode.d8.loss_dice: 0.6106, loss: 12.8052, grad_norm: 53.3999 2023-11-12 19:06:21,729 - mmseg - INFO - Iter [146850/160000] lr: 8.219e-06, eta: 1:49:20, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1256, decode.loss_mask: 0.3979, decode.loss_dice: 0.6031, decode.d0.loss_cls: 1.0917, decode.d0.loss_mask: 0.4288, decode.d0.loss_dice: 0.6495, decode.d1.loss_cls: 0.1933, decode.d1.loss_mask: 0.4091, decode.d1.loss_dice: 0.6254, decode.d2.loss_cls: 0.1577, decode.d2.loss_mask: 0.4027, decode.d2.loss_dice: 0.6140, decode.d3.loss_cls: 0.1412, decode.d3.loss_mask: 0.4004, decode.d3.loss_dice: 0.6050, decode.d4.loss_cls: 0.1355, decode.d4.loss_mask: 0.3990, decode.d4.loss_dice: 0.6017, decode.d5.loss_cls: 0.1309, decode.d5.loss_mask: 0.4004, decode.d5.loss_dice: 0.6053, decode.d6.loss_cls: 0.1263, decode.d6.loss_mask: 0.4004, decode.d6.loss_dice: 0.6022, decode.d7.loss_cls: 0.1261, decode.d7.loss_mask: 0.3989, decode.d7.loss_dice: 0.6014, decode.d8.loss_cls: 0.1240, decode.d8.loss_mask: 0.3979, decode.d8.loss_dice: 0.6034, loss: 12.4987, grad_norm: 45.0412 2023-11-12 19:06:45,556 - mmseg - INFO - Iter [146900/160000] lr: 8.188e-06, eta: 1:48:55, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1279, decode.loss_mask: 0.3998, decode.loss_dice: 0.5876, decode.d0.loss_cls: 1.0756, decode.d0.loss_mask: 0.4305, decode.d0.loss_dice: 0.6410, decode.d1.loss_cls: 0.1765, decode.d1.loss_mask: 0.4108, decode.d1.loss_dice: 0.6165, decode.d2.loss_cls: 0.1464, decode.d2.loss_mask: 0.4040, decode.d2.loss_dice: 0.6058, decode.d3.loss_cls: 0.1386, decode.d3.loss_mask: 0.4011, decode.d3.loss_dice: 0.5977, decode.d4.loss_cls: 0.1317, decode.d4.loss_mask: 0.4013, decode.d4.loss_dice: 0.5992, decode.d5.loss_cls: 0.1353, decode.d5.loss_mask: 0.4002, decode.d5.loss_dice: 0.5936, decode.d6.loss_cls: 0.1306, decode.d6.loss_mask: 0.4001, decode.d6.loss_dice: 0.5920, decode.d7.loss_cls: 0.1284, decode.d7.loss_mask: 0.4004, decode.d7.loss_dice: 0.5919, decode.d8.loss_cls: 0.1292, decode.d8.loss_mask: 0.4003, decode.d8.loss_dice: 0.5924, loss: 12.3864, grad_norm: 47.5473 2023-11-12 19:07:09,324 - mmseg - INFO - Iter [146950/160000] lr: 8.157e-06, eta: 1:48:30, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1363, decode.loss_mask: 0.3939, decode.loss_dice: 0.5906, decode.d0.loss_cls: 1.0755, decode.d0.loss_mask: 0.4246, decode.d0.loss_dice: 0.6433, decode.d1.loss_cls: 0.1941, decode.d1.loss_mask: 0.4036, decode.d1.loss_dice: 0.6182, decode.d2.loss_cls: 0.1685, decode.d2.loss_mask: 0.3992, decode.d2.loss_dice: 0.6021, decode.d3.loss_cls: 0.1520, decode.d3.loss_mask: 0.3972, decode.d3.loss_dice: 0.5954, decode.d4.loss_cls: 0.1463, decode.d4.loss_mask: 0.3957, decode.d4.loss_dice: 0.5977, decode.d5.loss_cls: 0.1479, decode.d5.loss_mask: 0.3930, decode.d5.loss_dice: 0.5970, decode.d6.loss_cls: 0.1416, decode.d6.loss_mask: 0.3949, decode.d6.loss_dice: 0.5973, decode.d7.loss_cls: 0.1372, decode.d7.loss_mask: 0.3946, decode.d7.loss_dice: 0.5935, decode.d8.loss_cls: 0.1378, decode.d8.loss_mask: 0.3937, decode.d8.loss_dice: 0.5929, loss: 12.4556, grad_norm: 43.3464 2023-11-12 19:07:32,930 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 19:07:32,930 - mmseg - INFO - Iter [147000/160000] lr: 8.126e-06, eta: 1:48:05, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1438, decode.loss_mask: 0.3979, decode.loss_dice: 0.6180, decode.d0.loss_cls: 1.1103, decode.d0.loss_mask: 0.4270, decode.d0.loss_dice: 0.6665, decode.d1.loss_cls: 0.2012, decode.d1.loss_mask: 0.4087, decode.d1.loss_dice: 0.6399, decode.d2.loss_cls: 0.1702, decode.d2.loss_mask: 0.4050, decode.d2.loss_dice: 0.6329, decode.d3.loss_cls: 0.1600, decode.d3.loss_mask: 0.3997, decode.d3.loss_dice: 0.6237, decode.d4.loss_cls: 0.1530, decode.d4.loss_mask: 0.3999, decode.d4.loss_dice: 0.6237, decode.d5.loss_cls: 0.1503, decode.d5.loss_mask: 0.3988, decode.d5.loss_dice: 0.6218, decode.d6.loss_cls: 0.1496, decode.d6.loss_mask: 0.3995, decode.d6.loss_dice: 0.6194, decode.d7.loss_cls: 0.1461, decode.d7.loss_mask: 0.3968, decode.d7.loss_dice: 0.6133, decode.d8.loss_cls: 0.1436, decode.d8.loss_mask: 0.3975, decode.d8.loss_dice: 0.6177, loss: 12.8359, grad_norm: 44.0628 2023-11-12 19:07:56,597 - mmseg - INFO - Iter [147050/160000] lr: 8.094e-06, eta: 1:47:40, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1298, decode.loss_mask: 0.3973, decode.loss_dice: 0.5878, decode.d0.loss_cls: 1.0846, decode.d0.loss_mask: 0.4244, decode.d0.loss_dice: 0.6345, decode.d1.loss_cls: 0.1859, decode.d1.loss_mask: 0.4069, decode.d1.loss_dice: 0.6089, decode.d2.loss_cls: 0.1544, decode.d2.loss_mask: 0.4034, decode.d2.loss_dice: 0.6000, decode.d3.loss_cls: 0.1470, decode.d3.loss_mask: 0.4009, decode.d3.loss_dice: 0.5944, decode.d4.loss_cls: 0.1382, decode.d4.loss_mask: 0.4008, decode.d4.loss_dice: 0.5903, decode.d5.loss_cls: 0.1354, decode.d5.loss_mask: 0.3990, decode.d5.loss_dice: 0.5926, decode.d6.loss_cls: 0.1319, decode.d6.loss_mask: 0.3984, decode.d6.loss_dice: 0.5896, decode.d7.loss_cls: 0.1329, decode.d7.loss_mask: 0.3969, decode.d7.loss_dice: 0.5831, decode.d8.loss_cls: 0.1295, decode.d8.loss_mask: 0.3977, decode.d8.loss_dice: 0.5902, loss: 12.3669, grad_norm: 44.8017 2023-11-12 19:08:20,331 - mmseg - INFO - Iter [147100/160000] lr: 8.063e-06, eta: 1:47:15, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1259, decode.loss_mask: 0.4080, decode.loss_dice: 0.6117, decode.d0.loss_cls: 1.0789, decode.d0.loss_mask: 0.4382, decode.d0.loss_dice: 0.6566, decode.d1.loss_cls: 0.1817, decode.d1.loss_mask: 0.4211, decode.d1.loss_dice: 0.6339, decode.d2.loss_cls: 0.1558, decode.d2.loss_mask: 0.4142, decode.d2.loss_dice: 0.6241, decode.d3.loss_cls: 0.1457, decode.d3.loss_mask: 0.4096, decode.d3.loss_dice: 0.6125, decode.d4.loss_cls: 0.1398, decode.d4.loss_mask: 0.4097, decode.d4.loss_dice: 0.6189, decode.d5.loss_cls: 0.1338, decode.d5.loss_mask: 0.4090, decode.d5.loss_dice: 0.6107, decode.d6.loss_cls: 0.1397, decode.d6.loss_mask: 0.4083, decode.d6.loss_dice: 0.6128, decode.d7.loss_cls: 0.1327, decode.d7.loss_mask: 0.4077, decode.d7.loss_dice: 0.6093, decode.d8.loss_cls: 0.1305, decode.d8.loss_mask: 0.4087, decode.d8.loss_dice: 0.6135, loss: 12.7029, grad_norm: 44.7452 2023-11-12 19:08:44,066 - mmseg - INFO - Iter [147150/160000] lr: 8.032e-06, eta: 1:46:50, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1227, decode.loss_mask: 0.4285, decode.loss_dice: 0.6389, decode.d0.loss_cls: 1.0815, decode.d0.loss_mask: 0.4572, decode.d0.loss_dice: 0.6904, decode.d1.loss_cls: 0.1821, decode.d1.loss_mask: 0.4384, decode.d1.loss_dice: 0.6632, decode.d2.loss_cls: 0.1541, decode.d2.loss_mask: 0.4329, decode.d2.loss_dice: 0.6530, decode.d3.loss_cls: 0.1329, decode.d3.loss_mask: 0.4297, decode.d3.loss_dice: 0.6466, decode.d4.loss_cls: 0.1328, decode.d4.loss_mask: 0.4294, decode.d4.loss_dice: 0.6458, decode.d5.loss_cls: 0.1280, decode.d5.loss_mask: 0.4305, decode.d5.loss_dice: 0.6454, decode.d6.loss_cls: 0.1315, decode.d6.loss_mask: 0.4305, decode.d6.loss_dice: 0.6434, decode.d7.loss_cls: 0.1271, decode.d7.loss_mask: 0.4291, decode.d7.loss_dice: 0.6392, decode.d8.loss_cls: 0.1259, decode.d8.loss_mask: 0.4278, decode.d8.loss_dice: 0.6425, loss: 13.1611, grad_norm: 47.8442 2023-11-12 19:09:07,743 - mmseg - INFO - Iter [147200/160000] lr: 8.001e-06, eta: 1:46:25, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1509, decode.loss_mask: 0.3910, decode.loss_dice: 0.6312, decode.d0.loss_cls: 1.1059, decode.d0.loss_mask: 0.4210, decode.d0.loss_dice: 0.6811, decode.d1.loss_cls: 0.2159, decode.d1.loss_mask: 0.4013, decode.d1.loss_dice: 0.6553, decode.d2.loss_cls: 0.1811, decode.d2.loss_mask: 0.3956, decode.d2.loss_dice: 0.6454, decode.d3.loss_cls: 0.1677, decode.d3.loss_mask: 0.3930, decode.d3.loss_dice: 0.6365, decode.d4.loss_cls: 0.1640, decode.d4.loss_mask: 0.3909, decode.d4.loss_dice: 0.6332, decode.d5.loss_cls: 0.1602, decode.d5.loss_mask: 0.3913, decode.d5.loss_dice: 0.6317, decode.d6.loss_cls: 0.1591, decode.d6.loss_mask: 0.3898, decode.d6.loss_dice: 0.6262, decode.d7.loss_cls: 0.1557, decode.d7.loss_mask: 0.3911, decode.d7.loss_dice: 0.6310, decode.d8.loss_cls: 0.1555, decode.d8.loss_mask: 0.3909, decode.d8.loss_dice: 0.6296, loss: 12.9729, grad_norm: 45.0269 2023-11-12 19:09:31,571 - mmseg - INFO - Iter [147250/160000] lr: 7.969e-06, eta: 1:45:59, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1196, decode.loss_mask: 0.4158, decode.loss_dice: 0.6116, decode.d0.loss_cls: 1.0512, decode.d0.loss_mask: 0.4403, decode.d0.loss_dice: 0.6531, decode.d1.loss_cls: 0.1627, decode.d1.loss_mask: 0.4254, decode.d1.loss_dice: 0.6360, decode.d2.loss_cls: 0.1426, decode.d2.loss_mask: 0.4196, decode.d2.loss_dice: 0.6286, decode.d3.loss_cls: 0.1350, decode.d3.loss_mask: 0.4167, decode.d3.loss_dice: 0.6205, decode.d4.loss_cls: 0.1279, decode.d4.loss_mask: 0.4158, decode.d4.loss_dice: 0.6205, decode.d5.loss_cls: 0.1298, decode.d5.loss_mask: 0.4155, decode.d5.loss_dice: 0.6142, decode.d6.loss_cls: 0.1214, decode.d6.loss_mask: 0.4163, decode.d6.loss_dice: 0.6170, decode.d7.loss_cls: 0.1248, decode.d7.loss_mask: 0.4159, decode.d7.loss_dice: 0.6142, decode.d8.loss_cls: 0.1223, decode.d8.loss_mask: 0.4162, decode.d8.loss_dice: 0.6160, loss: 12.6665, grad_norm: 48.3081 2023-11-12 19:09:55,290 - mmseg - INFO - Iter [147300/160000] lr: 7.938e-06, eta: 1:45:34, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1276, decode.loss_mask: 0.3999, decode.loss_dice: 0.5894, decode.d0.loss_cls: 1.0671, decode.d0.loss_mask: 0.4283, decode.d0.loss_dice: 0.6451, decode.d1.loss_cls: 0.1775, decode.d1.loss_mask: 0.4103, decode.d1.loss_dice: 0.6194, decode.d2.loss_cls: 0.1520, decode.d2.loss_mask: 0.4028, decode.d2.loss_dice: 0.6038, decode.d3.loss_cls: 0.1446, decode.d3.loss_mask: 0.4006, decode.d3.loss_dice: 0.5936, decode.d4.loss_cls: 0.1367, decode.d4.loss_mask: 0.3992, decode.d4.loss_dice: 0.5932, decode.d5.loss_cls: 0.1339, decode.d5.loss_mask: 0.3994, decode.d5.loss_dice: 0.5948, decode.d6.loss_cls: 0.1319, decode.d6.loss_mask: 0.3989, decode.d6.loss_dice: 0.5887, decode.d7.loss_cls: 0.1302, decode.d7.loss_mask: 0.3988, decode.d7.loss_dice: 0.5913, decode.d8.loss_cls: 0.1307, decode.d8.loss_mask: 0.3995, decode.d8.loss_dice: 0.5897, loss: 12.3791, grad_norm: 42.9687 2023-11-12 19:10:19,332 - mmseg - INFO - Iter [147350/160000] lr: 7.907e-06, eta: 1:45:09, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1241, decode.loss_mask: 0.3840, decode.loss_dice: 0.6149, decode.d0.loss_cls: 1.0822, decode.d0.loss_mask: 0.4084, decode.d0.loss_dice: 0.6668, decode.d1.loss_cls: 0.1753, decode.d1.loss_mask: 0.3937, decode.d1.loss_dice: 0.6442, decode.d2.loss_cls: 0.1503, decode.d2.loss_mask: 0.3882, decode.d2.loss_dice: 0.6324, decode.d3.loss_cls: 0.1393, decode.d3.loss_mask: 0.3845, decode.d3.loss_dice: 0.6180, decode.d4.loss_cls: 0.1343, decode.d4.loss_mask: 0.3856, decode.d4.loss_dice: 0.6211, decode.d5.loss_cls: 0.1301, decode.d5.loss_mask: 0.3847, decode.d5.loss_dice: 0.6181, decode.d6.loss_cls: 0.1269, decode.d6.loss_mask: 0.3842, decode.d6.loss_dice: 0.6152, decode.d7.loss_cls: 0.1267, decode.d7.loss_mask: 0.3833, decode.d7.loss_dice: 0.6110, decode.d8.loss_cls: 0.1278, decode.d8.loss_mask: 0.3837, decode.d8.loss_dice: 0.6153, loss: 12.4541, grad_norm: 41.4868 2023-11-12 19:10:43,052 - mmseg - INFO - Iter [147400/160000] lr: 7.876e-06, eta: 1:44:44, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1288, decode.loss_mask: 0.3844, decode.loss_dice: 0.6054, decode.d0.loss_cls: 1.0861, decode.d0.loss_mask: 0.4141, decode.d0.loss_dice: 0.6560, decode.d1.loss_cls: 0.1779, decode.d1.loss_mask: 0.3955, decode.d1.loss_dice: 0.6326, decode.d2.loss_cls: 0.1544, decode.d2.loss_mask: 0.3905, decode.d2.loss_dice: 0.6177, decode.d3.loss_cls: 0.1455, decode.d3.loss_mask: 0.3876, decode.d3.loss_dice: 0.6098, decode.d4.loss_cls: 0.1348, decode.d4.loss_mask: 0.3873, decode.d4.loss_dice: 0.6101, decode.d5.loss_cls: 0.1323, decode.d5.loss_mask: 0.3870, decode.d5.loss_dice: 0.6124, decode.d6.loss_cls: 0.1322, decode.d6.loss_mask: 0.3861, decode.d6.loss_dice: 0.6074, decode.d7.loss_cls: 0.1292, decode.d7.loss_mask: 0.3855, decode.d7.loss_dice: 0.6045, decode.d8.loss_cls: 0.1308, decode.d8.loss_mask: 0.3847, decode.d8.loss_dice: 0.6048, loss: 12.4154, grad_norm: 43.5023 2023-11-12 19:11:06,780 - mmseg - INFO - Iter [147450/160000] lr: 7.844e-06, eta: 1:44:19, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1345, decode.loss_mask: 0.4000, decode.loss_dice: 0.6051, decode.d0.loss_cls: 1.0909, decode.d0.loss_mask: 0.4296, decode.d0.loss_dice: 0.6568, decode.d1.loss_cls: 0.1921, decode.d1.loss_mask: 0.4096, decode.d1.loss_dice: 0.6279, decode.d2.loss_cls: 0.1591, decode.d2.loss_mask: 0.4052, decode.d2.loss_dice: 0.6200, decode.d3.loss_cls: 0.1487, decode.d3.loss_mask: 0.4023, decode.d3.loss_dice: 0.6098, decode.d4.loss_cls: 0.1420, decode.d4.loss_mask: 0.4013, decode.d4.loss_dice: 0.6087, decode.d5.loss_cls: 0.1450, decode.d5.loss_mask: 0.4022, decode.d5.loss_dice: 0.6095, decode.d6.loss_cls: 0.1370, decode.d6.loss_mask: 0.4011, decode.d6.loss_dice: 0.6075, decode.d7.loss_cls: 0.1368, decode.d7.loss_mask: 0.4011, decode.d7.loss_dice: 0.6058, decode.d8.loss_cls: 0.1356, decode.d8.loss_mask: 0.4011, decode.d8.loss_dice: 0.6067, loss: 12.6330, grad_norm: 41.2492 2023-11-12 19:11:30,547 - mmseg - INFO - Iter [147500/160000] lr: 7.813e-06, eta: 1:43:54, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1255, decode.loss_mask: 0.3918, decode.loss_dice: 0.6180, decode.d0.loss_cls: 1.0685, decode.d0.loss_mask: 0.4214, decode.d0.loss_dice: 0.6724, decode.d1.loss_cls: 0.1853, decode.d1.loss_mask: 0.4040, decode.d1.loss_dice: 0.6459, decode.d2.loss_cls: 0.1580, decode.d2.loss_mask: 0.3986, decode.d2.loss_dice: 0.6342, decode.d3.loss_cls: 0.1441, decode.d3.loss_mask: 0.3928, decode.d3.loss_dice: 0.6222, decode.d4.loss_cls: 0.1378, decode.d4.loss_mask: 0.3924, decode.d4.loss_dice: 0.6220, decode.d5.loss_cls: 0.1352, decode.d5.loss_mask: 0.3935, decode.d5.loss_dice: 0.6204, decode.d6.loss_cls: 0.1321, decode.d6.loss_mask: 0.3928, decode.d6.loss_dice: 0.6188, decode.d7.loss_cls: 0.1252, decode.d7.loss_mask: 0.3932, decode.d7.loss_dice: 0.6214, decode.d8.loss_cls: 0.1271, decode.d8.loss_mask: 0.3920, decode.d8.loss_dice: 0.6159, loss: 12.6024, grad_norm: 44.1622 2023-11-12 19:11:54,468 - mmseg - INFO - Iter [147550/160000] lr: 7.782e-06, eta: 1:43:29, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1270, decode.loss_mask: 0.4044, decode.loss_dice: 0.6217, decode.d0.loss_cls: 1.0872, decode.d0.loss_mask: 0.4318, decode.d0.loss_dice: 0.6712, decode.d1.loss_cls: 0.1840, decode.d1.loss_mask: 0.4149, decode.d1.loss_dice: 0.6517, decode.d2.loss_cls: 0.1594, decode.d2.loss_mask: 0.4110, decode.d2.loss_dice: 0.6379, decode.d3.loss_cls: 0.1470, decode.d3.loss_mask: 0.4105, decode.d3.loss_dice: 0.6294, decode.d4.loss_cls: 0.1404, decode.d4.loss_mask: 0.4075, decode.d4.loss_dice: 0.6251, decode.d5.loss_cls: 0.1338, decode.d5.loss_mask: 0.4059, decode.d5.loss_dice: 0.6296, decode.d6.loss_cls: 0.1339, decode.d6.loss_mask: 0.4056, decode.d6.loss_dice: 0.6235, decode.d7.loss_cls: 0.1310, decode.d7.loss_mask: 0.4049, decode.d7.loss_dice: 0.6227, decode.d8.loss_cls: 0.1285, decode.d8.loss_mask: 0.4042, decode.d8.loss_dice: 0.6246, loss: 12.8101, grad_norm: 44.3794 2023-11-12 19:12:18,194 - mmseg - INFO - Iter [147600/160000] lr: 7.751e-06, eta: 1:43:04, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1285, decode.loss_mask: 0.4071, decode.loss_dice: 0.6223, decode.d0.loss_cls: 1.0942, decode.d0.loss_mask: 0.4361, decode.d0.loss_dice: 0.6619, decode.d1.loss_cls: 0.1810, decode.d1.loss_mask: 0.4173, decode.d1.loss_dice: 0.6450, decode.d2.loss_cls: 0.1492, decode.d2.loss_mask: 0.4139, decode.d2.loss_dice: 0.6331, decode.d3.loss_cls: 0.1463, decode.d3.loss_mask: 0.4111, decode.d3.loss_dice: 0.6249, decode.d4.loss_cls: 0.1344, decode.d4.loss_mask: 0.4106, decode.d4.loss_dice: 0.6251, decode.d5.loss_cls: 0.1329, decode.d5.loss_mask: 0.4087, decode.d5.loss_dice: 0.6224, decode.d6.loss_cls: 0.1323, decode.d6.loss_mask: 0.4071, decode.d6.loss_dice: 0.6212, decode.d7.loss_cls: 0.1308, decode.d7.loss_mask: 0.4062, decode.d7.loss_dice: 0.6201, decode.d8.loss_cls: 0.1259, decode.d8.loss_mask: 0.4062, decode.d8.loss_dice: 0.6246, loss: 12.7804, grad_norm: 49.4572 2023-11-12 19:12:42,098 - mmseg - INFO - Iter [147650/160000] lr: 7.719e-06, eta: 1:42:39, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1435, decode.loss_mask: 0.3896, decode.loss_dice: 0.6066, decode.d0.loss_cls: 1.1122, decode.d0.loss_mask: 0.4224, decode.d0.loss_dice: 0.6553, decode.d1.loss_cls: 0.1947, decode.d1.loss_mask: 0.4023, decode.d1.loss_dice: 0.6339, decode.d2.loss_cls: 0.1671, decode.d2.loss_mask: 0.3961, decode.d2.loss_dice: 0.6175, decode.d3.loss_cls: 0.1538, decode.d3.loss_mask: 0.3921, decode.d3.loss_dice: 0.6088, decode.d4.loss_cls: 0.1537, decode.d4.loss_mask: 0.3901, decode.d4.loss_dice: 0.6114, decode.d5.loss_cls: 0.1477, decode.d5.loss_mask: 0.3897, decode.d5.loss_dice: 0.6113, decode.d6.loss_cls: 0.1465, decode.d6.loss_mask: 0.3884, decode.d6.loss_dice: 0.6073, decode.d7.loss_cls: 0.1445, decode.d7.loss_mask: 0.3886, decode.d7.loss_dice: 0.6025, decode.d8.loss_cls: 0.1393, decode.d8.loss_mask: 0.3895, decode.d8.loss_dice: 0.6100, loss: 12.6165, grad_norm: 42.3878 2023-11-12 19:13:06,087 - mmseg - INFO - Iter [147700/160000] lr: 7.688e-06, eta: 1:42:14, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1390, decode.loss_mask: 0.4053, decode.loss_dice: 0.6265, decode.d0.loss_cls: 1.0697, decode.d0.loss_mask: 0.4347, decode.d0.loss_dice: 0.6786, decode.d1.loss_cls: 0.1960, decode.d1.loss_mask: 0.4184, decode.d1.loss_dice: 0.6543, decode.d2.loss_cls: 0.1725, decode.d2.loss_mask: 0.4099, decode.d2.loss_dice: 0.6390, decode.d3.loss_cls: 0.1540, decode.d3.loss_mask: 0.4071, decode.d3.loss_dice: 0.6323, decode.d4.loss_cls: 0.1497, decode.d4.loss_mask: 0.4056, decode.d4.loss_dice: 0.6308, decode.d5.loss_cls: 0.1453, decode.d5.loss_mask: 0.4061, decode.d5.loss_dice: 0.6284, decode.d6.loss_cls: 0.1429, decode.d6.loss_mask: 0.4059, decode.d6.loss_dice: 0.6269, decode.d7.loss_cls: 0.1419, decode.d7.loss_mask: 0.4054, decode.d7.loss_dice: 0.6275, decode.d8.loss_cls: 0.1404, decode.d8.loss_mask: 0.4052, decode.d8.loss_dice: 0.6268, loss: 12.9261, grad_norm: 44.9882 2023-11-12 19:13:29,836 - mmseg - INFO - Iter [147750/160000] lr: 7.657e-06, eta: 1:41:49, time: 0.475, data_time: 0.011, memory: 41146, decode.loss_cls: 0.1274, decode.loss_mask: 0.3965, decode.loss_dice: 0.5990, decode.d0.loss_cls: 1.0752, decode.d0.loss_mask: 0.4294, decode.d0.loss_dice: 0.6486, decode.d1.loss_cls: 0.1836, decode.d1.loss_mask: 0.4108, decode.d1.loss_dice: 0.6307, decode.d2.loss_cls: 0.1576, decode.d2.loss_mask: 0.4024, decode.d2.loss_dice: 0.6143, decode.d3.loss_cls: 0.1436, decode.d3.loss_mask: 0.3991, decode.d3.loss_dice: 0.6023, decode.d4.loss_cls: 0.1350, decode.d4.loss_mask: 0.3978, decode.d4.loss_dice: 0.6035, decode.d5.loss_cls: 0.1317, decode.d5.loss_mask: 0.3977, decode.d5.loss_dice: 0.5994, decode.d6.loss_cls: 0.1342, decode.d6.loss_mask: 0.3957, decode.d6.loss_dice: 0.5938, decode.d7.loss_cls: 0.1333, decode.d7.loss_mask: 0.3963, decode.d7.loss_dice: 0.5962, decode.d8.loss_cls: 0.1290, decode.d8.loss_mask: 0.3966, decode.d8.loss_dice: 0.5963, loss: 12.4568, grad_norm: 41.7677 2023-11-12 19:13:55,850 - mmseg - INFO - Iter [147800/160000] lr: 7.626e-06, eta: 1:41:24, time: 0.520, data_time: 0.057, memory: 41146, decode.loss_cls: 0.1349, decode.loss_mask: 0.3997, decode.loss_dice: 0.6133, decode.d0.loss_cls: 1.0955, decode.d0.loss_mask: 0.4256, decode.d0.loss_dice: 0.6604, decode.d1.loss_cls: 0.1930, decode.d1.loss_mask: 0.4073, decode.d1.loss_dice: 0.6368, decode.d2.loss_cls: 0.1652, decode.d2.loss_mask: 0.4033, decode.d2.loss_dice: 0.6231, decode.d3.loss_cls: 0.1558, decode.d3.loss_mask: 0.4013, decode.d3.loss_dice: 0.6179, decode.d4.loss_cls: 0.1502, decode.d4.loss_mask: 0.3992, decode.d4.loss_dice: 0.6124, decode.d5.loss_cls: 0.1479, decode.d5.loss_mask: 0.3999, decode.d5.loss_dice: 0.6119, decode.d6.loss_cls: 0.1402, decode.d6.loss_mask: 0.3999, decode.d6.loss_dice: 0.6096, decode.d7.loss_cls: 0.1372, decode.d7.loss_mask: 0.3988, decode.d7.loss_dice: 0.6116, decode.d8.loss_cls: 0.1371, decode.d8.loss_mask: 0.3984, decode.d8.loss_dice: 0.6100, loss: 12.6974, grad_norm: 46.1358 2023-11-12 19:14:19,465 - mmseg - INFO - Iter [147850/160000] lr: 7.594e-06, eta: 1:40:59, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1320, decode.loss_mask: 0.3993, decode.loss_dice: 0.6106, decode.d0.loss_cls: 1.0817, decode.d0.loss_mask: 0.4296, decode.d0.loss_dice: 0.6677, decode.d1.loss_cls: 0.1926, decode.d1.loss_mask: 0.4109, decode.d1.loss_dice: 0.6418, decode.d2.loss_cls: 0.1606, decode.d2.loss_mask: 0.4048, decode.d2.loss_dice: 0.6239, decode.d3.loss_cls: 0.1510, decode.d3.loss_mask: 0.4010, decode.d3.loss_dice: 0.6141, decode.d4.loss_cls: 0.1465, decode.d4.loss_mask: 0.3997, decode.d4.loss_dice: 0.6141, decode.d5.loss_cls: 0.1464, decode.d5.loss_mask: 0.4002, decode.d5.loss_dice: 0.6135, decode.d6.loss_cls: 0.1436, decode.d6.loss_mask: 0.3999, decode.d6.loss_dice: 0.6114, decode.d7.loss_cls: 0.1360, decode.d7.loss_mask: 0.3990, decode.d7.loss_dice: 0.6083, decode.d8.loss_cls: 0.1390, decode.d8.loss_mask: 0.3987, decode.d8.loss_dice: 0.6124, loss: 12.6904, grad_norm: 46.4299 2023-11-12 19:14:43,179 - mmseg - INFO - Iter [147900/160000] lr: 7.563e-06, eta: 1:40:34, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1278, decode.loss_mask: 0.3987, decode.loss_dice: 0.6030, decode.d0.loss_cls: 1.1012, decode.d0.loss_mask: 0.4287, decode.d0.loss_dice: 0.6565, decode.d1.loss_cls: 0.1895, decode.d1.loss_mask: 0.4098, decode.d1.loss_dice: 0.6353, decode.d2.loss_cls: 0.1573, decode.d2.loss_mask: 0.4042, decode.d2.loss_dice: 0.6175, decode.d3.loss_cls: 0.1415, decode.d3.loss_mask: 0.4017, decode.d3.loss_dice: 0.6102, decode.d4.loss_cls: 0.1378, decode.d4.loss_mask: 0.4002, decode.d4.loss_dice: 0.6089, decode.d5.loss_cls: 0.1313, decode.d5.loss_mask: 0.4008, decode.d5.loss_dice: 0.6099, decode.d6.loss_cls: 0.1291, decode.d6.loss_mask: 0.3993, decode.d6.loss_dice: 0.6035, decode.d7.loss_cls: 0.1307, decode.d7.loss_mask: 0.3990, decode.d7.loss_dice: 0.6024, decode.d8.loss_cls: 0.1273, decode.d8.loss_mask: 0.3991, decode.d8.loss_dice: 0.6076, loss: 12.5697, grad_norm: 46.1591 2023-11-12 19:15:07,052 - mmseg - INFO - Iter [147950/160000] lr: 7.532e-06, eta: 1:40:09, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1236, decode.loss_mask: 0.4023, decode.loss_dice: 0.6023, decode.d0.loss_cls: 1.1145, decode.d0.loss_mask: 0.4315, decode.d0.loss_dice: 0.6489, decode.d1.loss_cls: 0.1868, decode.d1.loss_mask: 0.4140, decode.d1.loss_dice: 0.6303, decode.d2.loss_cls: 0.1491, decode.d2.loss_mask: 0.4080, decode.d2.loss_dice: 0.6172, decode.d3.loss_cls: 0.1427, decode.d3.loss_mask: 0.4046, decode.d3.loss_dice: 0.6089, decode.d4.loss_cls: 0.1303, decode.d4.loss_mask: 0.4036, decode.d4.loss_dice: 0.6055, decode.d5.loss_cls: 0.1289, decode.d5.loss_mask: 0.4029, decode.d5.loss_dice: 0.6060, decode.d6.loss_cls: 0.1274, decode.d6.loss_mask: 0.4025, decode.d6.loss_dice: 0.6035, decode.d7.loss_cls: 0.1242, decode.d7.loss_mask: 0.4021, decode.d7.loss_dice: 0.6049, decode.d8.loss_cls: 0.1221, decode.d8.loss_mask: 0.4017, decode.d8.loss_dice: 0.6024, loss: 12.5530, grad_norm: 43.4686 2023-11-12 19:15:30,755 - mmseg - INFO - Saving checkpoint at 148000 iterations 2023-11-12 19:15:34,741 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 19:15:34,742 - mmseg - INFO - Iter [148000/160000] lr: 7.501e-06, eta: 1:39:44, time: 0.554, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1379, decode.loss_mask: 0.3823, decode.loss_dice: 0.6035, decode.d0.loss_cls: 1.0837, decode.d0.loss_mask: 0.4126, decode.d0.loss_dice: 0.6596, decode.d1.loss_cls: 0.1899, decode.d1.loss_mask: 0.3942, decode.d1.loss_dice: 0.6285, decode.d2.loss_cls: 0.1683, decode.d2.loss_mask: 0.3867, decode.d2.loss_dice: 0.6113, decode.d3.loss_cls: 0.1575, decode.d3.loss_mask: 0.3853, decode.d3.loss_dice: 0.6035, decode.d4.loss_cls: 0.1548, decode.d4.loss_mask: 0.3838, decode.d4.loss_dice: 0.6066, decode.d5.loss_cls: 0.1469, decode.d5.loss_mask: 0.3832, decode.d5.loss_dice: 0.6065, decode.d6.loss_cls: 0.1441, decode.d6.loss_mask: 0.3835, decode.d6.loss_dice: 0.6009, decode.d7.loss_cls: 0.1420, decode.d7.loss_mask: 0.3828, decode.d7.loss_dice: 0.6030, decode.d8.loss_cls: 0.1418, decode.d8.loss_mask: 0.3819, decode.d8.loss_dice: 0.6045, loss: 12.4711, grad_norm: 44.9240 2023-11-12 19:15:53,998 - mmseg - INFO - per class results: 2023-11-12 19:15:54,003 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.27 | 88.17 | | building | 83.01 | 91.81 | | sky | 94.74 | 97.38 | | floor | 83.39 | 91.16 | | tree | 75.64 | 87.81 | | ceiling | 84.64 | 91.27 | | road | 85.32 | 90.95 | | bed | 91.26 | 95.69 | | windowpane | 64.39 | 81.35 | | grass | 64.98 | 75.34 | | cabinet | 64.47 | 76.16 | | sidewalk | 67.24 | 81.42 | | person | 84.64 | 93.19 | | earth | 39.84 | 58.35 | | door | 51.0 | 66.1 | | table | 66.77 | 81.74 | | mountain | 63.2 | 73.41 | | plant | 54.09 | 69.75 | | curtain | 78.31 | 88.94 | | chair | 62.78 | 75.25 | | car | 86.62 | 92.29 | | water | 54.39 | 67.62 | | painting | 76.21 | 89.03 | | sofa | 68.68 | 81.76 | | shelf | 44.26 | 64.88 | | house | 35.89 | 56.81 | | sea | 62.87 | 90.33 | | mirror | 70.41 | 80.12 | | rug | 64.59 | 77.42 | | field | 34.96 | 50.18 | | armchair | 48.07 | 68.39 | | seat | 59.37 | 80.43 | | fence | 51.12 | 69.02 | | desk | 53.03 | 74.35 | | rock | 46.18 | 78.73 | | wardrobe | 43.78 | 63.26 | | lamp | 72.35 | 83.69 | | bathtub | 87.64 | 90.58 | | railing | 39.26 | 54.66 | | cushion | 65.02 | 75.87 | | base | 27.97 | 37.98 | | box | 26.36 | 38.11 | | column | 50.56 | 62.22 | | signboard | 35.13 | 53.43 | | chest of drawers | 43.63 | 65.33 | | counter | 28.82 | 34.12 | | sand | 32.86 | 45.54 | | sink | 76.31 | 81.18 | | skyscraper | 36.65 | 41.89 | | fireplace | 80.13 | 93.43 | | refrigerator | 77.0 | 83.82 | | grandstand | 39.94 | 73.76 | | path | 30.57 | 47.53 | | stairs | 29.46 | 37.09 | | runway | 86.32 | 92.31 | | case | 62.46 | 79.38 | | pool table | 95.17 | 97.58 | | pillow | 61.4 | 76.82 | | screen door | 70.22 | 77.8 | | stairway | 33.11 | 42.06 | | river | 11.94 | 20.09 | | bridge | 77.83 | 86.48 | | bookcase | 40.57 | 65.66 | | blind | 46.5 | 51.07 | | coffee table | 68.45 | 83.99 | | toilet | 83.74 | 91.71 | | flower | 48.41 | 65.25 | | book | 49.85 | 72.04 | | hill | 5.86 | 15.23 | | bench | 58.21 | 74.38 | | countertop | 61.42 | 78.4 | | stove | 84.14 | 89.21 | | palm | 56.18 | 72.47 | | kitchen island | 48.72 | 78.6 | | computer | 71.21 | 78.86 | | swivel chair | 35.91 | 59.28 | | boat | 48.12 | 54.99 | | bar | 38.43 | 47.48 | | arcade machine | 77.71 | 83.02 | | hovel | 32.96 | 47.0 | | bus | 94.41 | 96.24 | | towel | 63.65 | 81.13 | | light | 63.06 | 72.0 | | truck | 32.49 | 56.71 | | tower | 35.86 | 63.37 | | chandelier | 71.99 | 87.62 | | awning | 35.32 | 45.19 | | streetlight | 43.19 | 61.97 | | booth | 40.14 | 69.7 | | television receiver | 78.08 | 85.89 | | airplane | 67.05 | 74.38 | | dirt track | 9.36 | 55.01 | | apparel | 26.25 | 51.8 | | pole | 29.02 | 47.78 | | land | 4.1 | 9.25 | | bannister | 20.87 | 33.81 | | escalator | 20.05 | 20.95 | | ottoman | 60.64 | 76.42 | | bottle | 26.88 | 33.11 | | buffet | 46.72 | 58.2 | | poster | 19.83 | 34.25 | | stage | 20.16 | 32.62 | | van | 55.35 | 72.27 | | ship | 4.73 | 10.64 | | fountain | 20.41 | 21.86 | | conveyer belt | 75.76 | 93.55 | | canopy | 35.87 | 48.87 | | washer | 70.93 | 73.51 | | plaything | 27.0 | 36.43 | | swimming pool | 60.96 | 67.32 | | stool | 45.16 | 72.2 | | barrel | 91.63 | 97.27 | | basket | 36.96 | 45.07 | | waterfall | 57.81 | 89.89 | | tent | 95.7 | 98.18 | | bag | 16.7 | 21.55 | | minibike | 73.82 | 92.21 | | cradle | 85.66 | 97.11 | | oven | 23.74 | 69.01 | | ball | 55.02 | 65.4 | | food | 62.24 | 77.47 | | step | 20.23 | 24.79 | | tank | 63.25 | 66.21 | | trade name | 32.47 | 42.25 | | microwave | 38.76 | 42.59 | | pot | 51.11 | 58.46 | | animal | 55.16 | 56.21 | | bicycle | 56.02 | 78.04 | | lake | 55.88 | 63.62 | | dishwasher | 78.67 | 84.2 | | screen | 61.77 | 93.22 | | blanket | 35.25 | 40.84 | | sculpture | 70.13 | 87.04 | | hood | 86.31 | 91.47 | | sconce | 56.07 | 68.31 | | vase | 50.22 | 67.67 | | traffic light | 43.83 | 68.58 | | tray | 15.08 | 25.25 | | ashcan | 54.34 | 66.27 | | fan | 72.58 | 84.79 | | pier | 34.54 | 44.12 | | crt screen | 4.33 | 13.7 | | plate | 58.56 | 73.18 | | monitor | 9.97 | 12.82 | | bulletin board | 52.64 | 78.32 | | shower | 2.72 | 23.3 | | radiator | 70.25 | 80.91 | | glass | 21.92 | 23.73 | | clock | 55.81 | 68.55 | | flag | 45.96 | 51.88 | +---------------------+-------+-------+ 2023-11-12 19:15:54,004 - mmseg - INFO - Summary: 2023-11-12 19:15:54,004 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.04 | 52.88 | 65.99 | +-------+-------+-------+ 2023-11-12 19:15:54,005 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 19:15:54,005 - mmseg - INFO - Iter(val) [250] aAcc: 0.8404, mIoU: 0.5288, mAcc: 0.6599, IoU.wall: 0.7927, IoU.building: 0.8301, IoU.sky: 0.9474, IoU.floor: 0.8339, IoU.tree: 0.7564, IoU.ceiling: 0.8464, IoU.road: 0.8532, IoU.bed : 0.9126, IoU.windowpane: 0.6439, IoU.grass: 0.6498, IoU.cabinet: 0.6447, IoU.sidewalk: 0.6724, IoU.person: 0.8464, IoU.earth: 0.3984, IoU.door: 0.5100, IoU.table: 0.6677, IoU.mountain: 0.6320, IoU.plant: 0.5409, IoU.curtain: 0.7831, IoU.chair: 0.6278, IoU.car: 0.8662, IoU.water: 0.5439, IoU.painting: 0.7621, IoU.sofa: 0.6868, IoU.shelf: 0.4426, IoU.house: 0.3589, IoU.sea: 0.6287, IoU.mirror: 0.7041, IoU.rug: 0.6459, IoU.field: 0.3496, IoU.armchair: 0.4807, IoU.seat: 0.5937, IoU.fence: 0.5112, IoU.desk: 0.5303, IoU.rock: 0.4618, IoU.wardrobe: 0.4378, IoU.lamp: 0.7235, IoU.bathtub: 0.8764, IoU.railing: 0.3926, IoU.cushion: 0.6502, IoU.base: 0.2797, IoU.box: 0.2636, IoU.column: 0.5056, IoU.signboard: 0.3513, IoU.chest of drawers: 0.4363, IoU.counter: 0.2882, IoU.sand: 0.3286, IoU.sink: 0.7631, IoU.skyscraper: 0.3665, IoU.fireplace: 0.8013, IoU.refrigerator: 0.7700, IoU.grandstand: 0.3994, IoU.path: 0.3057, IoU.stairs: 0.2946, IoU.runway: 0.8632, IoU.case: 0.6246, IoU.pool table: 0.9517, IoU.pillow: 0.6140, IoU.screen door: 0.7022, IoU.stairway: 0.3311, IoU.river: 0.1194, IoU.bridge: 0.7783, IoU.bookcase: 0.4057, IoU.blind: 0.4650, IoU.coffee table: 0.6845, IoU.toilet: 0.8374, IoU.flower: 0.4841, IoU.book: 0.4985, IoU.hill: 0.0586, IoU.bench: 0.5821, IoU.countertop: 0.6142, IoU.stove: 0.8414, IoU.palm: 0.5618, IoU.kitchen island: 0.4872, IoU.computer: 0.7121, IoU.swivel chair: 0.3591, IoU.boat: 0.4812, IoU.bar: 0.3843, IoU.arcade machine: 0.7771, IoU.hovel: 0.3296, IoU.bus: 0.9441, IoU.towel: 0.6365, IoU.light: 0.6306, IoU.truck: 0.3249, IoU.tower: 0.3586, IoU.chandelier: 0.7199, IoU.awning: 0.3532, IoU.streetlight: 0.4319, IoU.booth: 0.4014, IoU.television receiver: 0.7808, IoU.airplane: 0.6705, IoU.dirt track: 0.0936, IoU.apparel: 0.2625, IoU.pole: 0.2902, IoU.land: 0.0410, IoU.bannister: 0.2087, IoU.escalator: 0.2005, IoU.ottoman: 0.6064, IoU.bottle: 0.2688, IoU.buffet: 0.4672, IoU.poster: 0.1983, IoU.stage: 0.2016, IoU.van: 0.5535, IoU.ship: 0.0473, IoU.fountain: 0.2041, IoU.conveyer belt: 0.7576, IoU.canopy: 0.3587, IoU.washer: 0.7093, IoU.plaything: 0.2700, IoU.swimming pool: 0.6096, IoU.stool: 0.4516, IoU.barrel: 0.9163, IoU.basket: 0.3696, IoU.waterfall: 0.5781, IoU.tent: 0.9570, IoU.bag: 0.1670, IoU.minibike: 0.7382, IoU.cradle: 0.8566, IoU.oven: 0.2374, IoU.ball: 0.5502, IoU.food: 0.6224, IoU.step: 0.2023, IoU.tank: 0.6325, IoU.trade name: 0.3247, IoU.microwave: 0.3876, IoU.pot: 0.5111, IoU.animal: 0.5516, IoU.bicycle: 0.5602, IoU.lake: 0.5588, IoU.dishwasher: 0.7867, IoU.screen: 0.6177, IoU.blanket: 0.3525, IoU.sculpture: 0.7013, IoU.hood: 0.8631, IoU.sconce: 0.5607, IoU.vase: 0.5022, IoU.traffic light: 0.4383, IoU.tray: 0.1508, IoU.ashcan: 0.5434, IoU.fan: 0.7258, IoU.pier: 0.3454, IoU.crt screen: 0.0433, IoU.plate: 0.5856, IoU.monitor: 0.0997, IoU.bulletin board: 0.5264, IoU.shower: 0.0272, IoU.radiator: 0.7025, IoU.glass: 0.2192, IoU.clock: 0.5581, IoU.flag: 0.4596, Acc.wall: 0.8817, Acc.building: 0.9181, Acc.sky: 0.9738, Acc.floor: 0.9116, Acc.tree: 0.8781, Acc.ceiling: 0.9127, Acc.road: 0.9095, Acc.bed : 0.9569, Acc.windowpane: 0.8135, Acc.grass: 0.7534, Acc.cabinet: 0.7616, Acc.sidewalk: 0.8142, Acc.person: 0.9319, Acc.earth: 0.5835, Acc.door: 0.6610, Acc.table: 0.8174, Acc.mountain: 0.7341, Acc.plant: 0.6975, Acc.curtain: 0.8894, Acc.chair: 0.7525, Acc.car: 0.9229, Acc.water: 0.6762, Acc.painting: 0.8903, Acc.sofa: 0.8176, Acc.shelf: 0.6488, Acc.house: 0.5681, Acc.sea: 0.9033, Acc.mirror: 0.8012, Acc.rug: 0.7742, Acc.field: 0.5018, Acc.armchair: 0.6839, Acc.seat: 0.8043, Acc.fence: 0.6902, Acc.desk: 0.7435, Acc.rock: 0.7873, Acc.wardrobe: 0.6326, Acc.lamp: 0.8369, Acc.bathtub: 0.9058, Acc.railing: 0.5466, Acc.cushion: 0.7587, Acc.base: 0.3798, Acc.box: 0.3811, Acc.column: 0.6222, Acc.signboard: 0.5343, Acc.chest of drawers: 0.6533, Acc.counter: 0.3412, Acc.sand: 0.4554, Acc.sink: 0.8118, Acc.skyscraper: 0.4189, Acc.fireplace: 0.9343, Acc.refrigerator: 0.8382, Acc.grandstand: 0.7376, Acc.path: 0.4753, Acc.stairs: 0.3709, Acc.runway: 0.9231, Acc.case: 0.7938, Acc.pool table: 0.9758, Acc.pillow: 0.7682, Acc.screen door: 0.7780, Acc.stairway: 0.4206, Acc.river: 0.2009, Acc.bridge: 0.8648, Acc.bookcase: 0.6566, Acc.blind: 0.5107, Acc.coffee table: 0.8399, Acc.toilet: 0.9171, Acc.flower: 0.6525, Acc.book: 0.7204, Acc.hill: 0.1523, Acc.bench: 0.7438, Acc.countertop: 0.7840, Acc.stove: 0.8921, Acc.palm: 0.7247, Acc.kitchen island: 0.7860, Acc.computer: 0.7886, Acc.swivel chair: 0.5928, Acc.boat: 0.5499, Acc.bar: 0.4748, Acc.arcade machine: 0.8302, Acc.hovel: 0.4700, Acc.bus: 0.9624, Acc.towel: 0.8113, Acc.light: 0.7200, Acc.truck: 0.5671, Acc.tower: 0.6337, Acc.chandelier: 0.8762, Acc.awning: 0.4519, Acc.streetlight: 0.6197, Acc.booth: 0.6970, Acc.television receiver: 0.8589, Acc.airplane: 0.7438, Acc.dirt track: 0.5501, Acc.apparel: 0.5180, Acc.pole: 0.4778, Acc.land: 0.0925, Acc.bannister: 0.3381, Acc.escalator: 0.2095, Acc.ottoman: 0.7642, Acc.bottle: 0.3311, Acc.buffet: 0.5820, Acc.poster: 0.3425, Acc.stage: 0.3262, Acc.van: 0.7227, Acc.ship: 0.1064, Acc.fountain: 0.2186, Acc.conveyer belt: 0.9355, Acc.canopy: 0.4887, Acc.washer: 0.7351, Acc.plaything: 0.3643, Acc.swimming pool: 0.6732, Acc.stool: 0.7220, Acc.barrel: 0.9727, Acc.basket: 0.4507, Acc.waterfall: 0.8989, Acc.tent: 0.9818, Acc.bag: 0.2155, Acc.minibike: 0.9221, Acc.cradle: 0.9711, Acc.oven: 0.6901, Acc.ball: 0.6540, Acc.food: 0.7747, Acc.step: 0.2479, Acc.tank: 0.6621, Acc.trade name: 0.4225, Acc.microwave: 0.4259, Acc.pot: 0.5846, Acc.animal: 0.5621, Acc.bicycle: 0.7804, Acc.lake: 0.6362, Acc.dishwasher: 0.8420, Acc.screen: 0.9322, Acc.blanket: 0.4084, Acc.sculpture: 0.8704, Acc.hood: 0.9147, Acc.sconce: 0.6831, Acc.vase: 0.6767, Acc.traffic light: 0.6858, Acc.tray: 0.2525, Acc.ashcan: 0.6627, Acc.fan: 0.8479, Acc.pier: 0.4412, Acc.crt screen: 0.1370, Acc.plate: 0.7318, Acc.monitor: 0.1282, Acc.bulletin board: 0.7832, Acc.shower: 0.2330, Acc.radiator: 0.8091, Acc.glass: 0.2373, Acc.clock: 0.6855, Acc.flag: 0.5188 2023-11-12 19:16:17,979 - mmseg - INFO - Iter [148050/160000] lr: 7.469e-06, eta: 1:39:21, time: 0.865, data_time: 0.396, memory: 41146, decode.loss_cls: 0.1476, decode.loss_mask: 0.3948, decode.loss_dice: 0.6172, decode.d0.loss_cls: 1.1249, decode.d0.loss_mask: 0.4236, decode.d0.loss_dice: 0.6632, decode.d1.loss_cls: 0.2035, decode.d1.loss_mask: 0.4050, decode.d1.loss_dice: 0.6420, decode.d2.loss_cls: 0.1709, decode.d2.loss_mask: 0.3996, decode.d2.loss_dice: 0.6301, decode.d3.loss_cls: 0.1602, decode.d3.loss_mask: 0.3975, decode.d3.loss_dice: 0.6177, decode.d4.loss_cls: 0.1534, decode.d4.loss_mask: 0.3966, decode.d4.loss_dice: 0.6178, decode.d5.loss_cls: 0.1508, decode.d5.loss_mask: 0.3965, decode.d5.loss_dice: 0.6163, decode.d6.loss_cls: 0.1499, decode.d6.loss_mask: 0.3958, decode.d6.loss_dice: 0.6169, decode.d7.loss_cls: 0.1444, decode.d7.loss_mask: 0.3959, decode.d7.loss_dice: 0.6190, decode.d8.loss_cls: 0.1466, decode.d8.loss_mask: 0.3950, decode.d8.loss_dice: 0.6152, loss: 12.8078, grad_norm: 44.5857 2023-11-12 19:16:42,094 - mmseg - INFO - Iter [148100/160000] lr: 7.438e-06, eta: 1:38:56, time: 0.482, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1298, decode.loss_mask: 0.3991, decode.loss_dice: 0.6167, decode.d0.loss_cls: 1.0844, decode.d0.loss_mask: 0.4256, decode.d0.loss_dice: 0.6663, decode.d1.loss_cls: 0.1849, decode.d1.loss_mask: 0.4077, decode.d1.loss_dice: 0.6380, decode.d2.loss_cls: 0.1564, decode.d2.loss_mask: 0.4031, decode.d2.loss_dice: 0.6296, decode.d3.loss_cls: 0.1419, decode.d3.loss_mask: 0.4004, decode.d3.loss_dice: 0.6206, decode.d4.loss_cls: 0.1395, decode.d4.loss_mask: 0.4000, decode.d4.loss_dice: 0.6200, decode.d5.loss_cls: 0.1386, decode.d5.loss_mask: 0.3978, decode.d5.loss_dice: 0.6177, decode.d6.loss_cls: 0.1344, decode.d6.loss_mask: 0.3982, decode.d6.loss_dice: 0.6182, decode.d7.loss_cls: 0.1310, decode.d7.loss_mask: 0.3979, decode.d7.loss_dice: 0.6186, decode.d8.loss_cls: 0.1281, decode.d8.loss_mask: 0.3986, decode.d8.loss_dice: 0.6169, loss: 12.6600, grad_norm: 44.9097 2023-11-12 19:17:06,010 - mmseg - INFO - Iter [148150/160000] lr: 7.407e-06, eta: 1:38:31, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1196, decode.loss_mask: 0.3778, decode.loss_dice: 0.5885, decode.d0.loss_cls: 1.0706, decode.d0.loss_mask: 0.4051, decode.d0.loss_dice: 0.6273, decode.d1.loss_cls: 0.1714, decode.d1.loss_mask: 0.3892, decode.d1.loss_dice: 0.6125, decode.d2.loss_cls: 0.1507, decode.d2.loss_mask: 0.3833, decode.d2.loss_dice: 0.6014, decode.d3.loss_cls: 0.1350, decode.d3.loss_mask: 0.3798, decode.d3.loss_dice: 0.5918, decode.d4.loss_cls: 0.1305, decode.d4.loss_mask: 0.3789, decode.d4.loss_dice: 0.5896, decode.d5.loss_cls: 0.1234, decode.d5.loss_mask: 0.3788, decode.d5.loss_dice: 0.5883, decode.d6.loss_cls: 0.1247, decode.d6.loss_mask: 0.3776, decode.d6.loss_dice: 0.5848, decode.d7.loss_cls: 0.1219, decode.d7.loss_mask: 0.3776, decode.d7.loss_dice: 0.5866, decode.d8.loss_cls: 0.1189, decode.d8.loss_mask: 0.3775, decode.d8.loss_dice: 0.5917, loss: 12.0547, grad_norm: 43.8814 2023-11-12 19:17:29,760 - mmseg - INFO - Iter [148200/160000] lr: 7.376e-06, eta: 1:38:06, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1345, decode.loss_mask: 0.4098, decode.loss_dice: 0.6057, decode.d0.loss_cls: 1.1138, decode.d0.loss_mask: 0.4436, decode.d0.loss_dice: 0.6612, decode.d1.loss_cls: 0.1922, decode.d1.loss_mask: 0.4213, decode.d1.loss_dice: 0.6311, decode.d2.loss_cls: 0.1642, decode.d2.loss_mask: 0.4155, decode.d2.loss_dice: 0.6187, decode.d3.loss_cls: 0.1523, decode.d3.loss_mask: 0.4111, decode.d3.loss_dice: 0.6108, decode.d4.loss_cls: 0.1450, decode.d4.loss_mask: 0.4107, decode.d4.loss_dice: 0.6092, decode.d5.loss_cls: 0.1443, decode.d5.loss_mask: 0.4103, decode.d5.loss_dice: 0.6111, decode.d6.loss_cls: 0.1391, decode.d6.loss_mask: 0.4100, decode.d6.loss_dice: 0.6054, decode.d7.loss_cls: 0.1324, decode.d7.loss_mask: 0.4094, decode.d7.loss_dice: 0.6055, decode.d8.loss_cls: 0.1298, decode.d8.loss_mask: 0.4097, decode.d8.loss_dice: 0.6071, loss: 12.7648, grad_norm: 45.4588 2023-11-12 19:17:53,461 - mmseg - INFO - Iter [148250/160000] lr: 7.344e-06, eta: 1:37:41, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1234, decode.loss_mask: 0.3821, decode.loss_dice: 0.5957, decode.d0.loss_cls: 1.0682, decode.d0.loss_mask: 0.4176, decode.d0.loss_dice: 0.6539, decode.d1.loss_cls: 0.1833, decode.d1.loss_mask: 0.3968, decode.d1.loss_dice: 0.6281, decode.d2.loss_cls: 0.1538, decode.d2.loss_mask: 0.3890, decode.d2.loss_dice: 0.6149, decode.d3.loss_cls: 0.1470, decode.d3.loss_mask: 0.3851, decode.d3.loss_dice: 0.6026, decode.d4.loss_cls: 0.1426, decode.d4.loss_mask: 0.3843, decode.d4.loss_dice: 0.6025, decode.d5.loss_cls: 0.1369, decode.d5.loss_mask: 0.3832, decode.d5.loss_dice: 0.6030, decode.d6.loss_cls: 0.1296, decode.d6.loss_mask: 0.3829, decode.d6.loss_dice: 0.6042, decode.d7.loss_cls: 0.1290, decode.d7.loss_mask: 0.3821, decode.d7.loss_dice: 0.6013, decode.d8.loss_cls: 0.1267, decode.d8.loss_mask: 0.3822, decode.d8.loss_dice: 0.5981, loss: 12.3300, grad_norm: 41.0731 2023-11-12 19:18:17,153 - mmseg - INFO - Iter [148300/160000] lr: 7.313e-06, eta: 1:37:16, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1316, decode.loss_mask: 0.4005, decode.loss_dice: 0.6105, decode.d0.loss_cls: 1.0905, decode.d0.loss_mask: 0.4320, decode.d0.loss_dice: 0.6565, decode.d1.loss_cls: 0.1857, decode.d1.loss_mask: 0.4127, decode.d1.loss_dice: 0.6358, decode.d2.loss_cls: 0.1621, decode.d2.loss_mask: 0.4072, decode.d2.loss_dice: 0.6222, decode.d3.loss_cls: 0.1493, decode.d3.loss_mask: 0.4028, decode.d3.loss_dice: 0.6168, decode.d4.loss_cls: 0.1419, decode.d4.loss_mask: 0.4020, decode.d4.loss_dice: 0.6142, decode.d5.loss_cls: 0.1396, decode.d5.loss_mask: 0.4028, decode.d5.loss_dice: 0.6169, decode.d6.loss_cls: 0.1362, decode.d6.loss_mask: 0.4014, decode.d6.loss_dice: 0.6111, decode.d7.loss_cls: 0.1345, decode.d7.loss_mask: 0.4005, decode.d7.loss_dice: 0.6083, decode.d8.loss_cls: 0.1318, decode.d8.loss_mask: 0.4010, decode.d8.loss_dice: 0.6158, loss: 12.6743, grad_norm: 43.5516 2023-11-12 19:18:40,968 - mmseg - INFO - Iter [148350/160000] lr: 7.282e-06, eta: 1:36:51, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1197, decode.loss_mask: 0.3914, decode.loss_dice: 0.5921, decode.d0.loss_cls: 1.0530, decode.d0.loss_mask: 0.4197, decode.d0.loss_dice: 0.6412, decode.d1.loss_cls: 0.1787, decode.d1.loss_mask: 0.4019, decode.d1.loss_dice: 0.6145, decode.d2.loss_cls: 0.1496, decode.d2.loss_mask: 0.3941, decode.d2.loss_dice: 0.6027, decode.d3.loss_cls: 0.1339, decode.d3.loss_mask: 0.3930, decode.d3.loss_dice: 0.5994, decode.d4.loss_cls: 0.1348, decode.d4.loss_mask: 0.3917, decode.d4.loss_dice: 0.5952, decode.d5.loss_cls: 0.1263, decode.d5.loss_mask: 0.3922, decode.d5.loss_dice: 0.5966, decode.d6.loss_cls: 0.1272, decode.d6.loss_mask: 0.3915, decode.d6.loss_dice: 0.5919, decode.d7.loss_cls: 0.1220, decode.d7.loss_mask: 0.3922, decode.d7.loss_dice: 0.5959, decode.d8.loss_cls: 0.1210, decode.d8.loss_mask: 0.3920, decode.d8.loss_dice: 0.5922, loss: 12.2476, grad_norm: 45.9698 2023-11-12 19:19:04,792 - mmseg - INFO - Iter [148400/160000] lr: 7.251e-06, eta: 1:36:26, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1450, decode.loss_mask: 0.4005, decode.loss_dice: 0.6268, decode.d0.loss_cls: 1.0942, decode.d0.loss_mask: 0.4278, decode.d0.loss_dice: 0.6726, decode.d1.loss_cls: 0.2005, decode.d1.loss_mask: 0.4103, decode.d1.loss_dice: 0.6463, decode.d2.loss_cls: 0.1731, decode.d2.loss_mask: 0.4059, decode.d2.loss_dice: 0.6406, decode.d3.loss_cls: 0.1582, decode.d3.loss_mask: 0.4043, decode.d3.loss_dice: 0.6272, decode.d4.loss_cls: 0.1647, decode.d4.loss_mask: 0.4018, decode.d4.loss_dice: 0.6240, decode.d5.loss_cls: 0.1506, decode.d5.loss_mask: 0.4030, decode.d5.loss_dice: 0.6259, decode.d6.loss_cls: 0.1498, decode.d6.loss_mask: 0.4010, decode.d6.loss_dice: 0.6232, decode.d7.loss_cls: 0.1474, decode.d7.loss_mask: 0.4017, decode.d7.loss_dice: 0.6207, decode.d8.loss_cls: 0.1455, decode.d8.loss_mask: 0.4009, decode.d8.loss_dice: 0.6243, loss: 12.9178, grad_norm: 44.4629 2023-11-12 19:19:28,774 - mmseg - INFO - Iter [148450/160000] lr: 7.219e-06, eta: 1:36:01, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1418, decode.loss_mask: 0.4107, decode.loss_dice: 0.6185, decode.d0.loss_cls: 1.0794, decode.d0.loss_mask: 0.4447, decode.d0.loss_dice: 0.6716, decode.d1.loss_cls: 0.1999, decode.d1.loss_mask: 0.4217, decode.d1.loss_dice: 0.6447, decode.d2.loss_cls: 0.1685, decode.d2.loss_mask: 0.4167, decode.d2.loss_dice: 0.6306, decode.d3.loss_cls: 0.1572, decode.d3.loss_mask: 0.4138, decode.d3.loss_dice: 0.6226, decode.d4.loss_cls: 0.1513, decode.d4.loss_mask: 0.4125, decode.d4.loss_dice: 0.6218, decode.d5.loss_cls: 0.1489, decode.d5.loss_mask: 0.4121, decode.d5.loss_dice: 0.6256, decode.d6.loss_cls: 0.1420, decode.d6.loss_mask: 0.4118, decode.d6.loss_dice: 0.6206, decode.d7.loss_cls: 0.1374, decode.d7.loss_mask: 0.4102, decode.d7.loss_dice: 0.6189, decode.d8.loss_cls: 0.1393, decode.d8.loss_mask: 0.4098, decode.d8.loss_dice: 0.6208, loss: 12.9254, grad_norm: 46.5148 2023-11-12 19:19:52,658 - mmseg - INFO - Iter [148500/160000] lr: 7.188e-06, eta: 1:35:36, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1375, decode.loss_mask: 0.4080, decode.loss_dice: 0.6267, decode.d0.loss_cls: 1.0835, decode.d0.loss_mask: 0.4361, decode.d0.loss_dice: 0.6730, decode.d1.loss_cls: 0.1945, decode.d1.loss_mask: 0.4194, decode.d1.loss_dice: 0.6508, decode.d2.loss_cls: 0.1681, decode.d2.loss_mask: 0.4135, decode.d2.loss_dice: 0.6396, decode.d3.loss_cls: 0.1504, decode.d3.loss_mask: 0.4106, decode.d3.loss_dice: 0.6298, decode.d4.loss_cls: 0.1483, decode.d4.loss_mask: 0.4104, decode.d4.loss_dice: 0.6295, decode.d5.loss_cls: 0.1478, decode.d5.loss_mask: 0.4088, decode.d5.loss_dice: 0.6281, decode.d6.loss_cls: 0.1395, decode.d6.loss_mask: 0.4080, decode.d6.loss_dice: 0.6273, decode.d7.loss_cls: 0.1407, decode.d7.loss_mask: 0.4085, decode.d7.loss_dice: 0.6251, decode.d8.loss_cls: 0.1402, decode.d8.loss_mask: 0.4073, decode.d8.loss_dice: 0.6268, loss: 12.9378, grad_norm: 45.3107 2023-11-12 19:20:16,406 - mmseg - INFO - Iter [148550/160000] lr: 7.157e-06, eta: 1:35:11, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1197, decode.loss_mask: 0.4047, decode.loss_dice: 0.6161, decode.d0.loss_cls: 1.0804, decode.d0.loss_mask: 0.4350, decode.d0.loss_dice: 0.6640, decode.d1.loss_cls: 0.1805, decode.d1.loss_mask: 0.4172, decode.d1.loss_dice: 0.6411, decode.d2.loss_cls: 0.1472, decode.d2.loss_mask: 0.4095, decode.d2.loss_dice: 0.6292, decode.d3.loss_cls: 0.1370, decode.d3.loss_mask: 0.4073, decode.d3.loss_dice: 0.6188, decode.d4.loss_cls: 0.1287, decode.d4.loss_mask: 0.4071, decode.d4.loss_dice: 0.6198, decode.d5.loss_cls: 0.1297, decode.d5.loss_mask: 0.4062, decode.d5.loss_dice: 0.6204, decode.d6.loss_cls: 0.1230, decode.d6.loss_mask: 0.4057, decode.d6.loss_dice: 0.6181, decode.d7.loss_cls: 0.1195, decode.d7.loss_mask: 0.4050, decode.d7.loss_dice: 0.6188, decode.d8.loss_cls: 0.1188, decode.d8.loss_mask: 0.4051, decode.d8.loss_dice: 0.6155, loss: 12.6491, grad_norm: 46.7806 2023-11-12 19:20:40,133 - mmseg - INFO - Iter [148600/160000] lr: 7.126e-06, eta: 1:34:46, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1322, decode.loss_mask: 0.4093, decode.loss_dice: 0.6114, decode.d0.loss_cls: 1.0693, decode.d0.loss_mask: 0.4446, decode.d0.loss_dice: 0.6639, decode.d1.loss_cls: 0.1798, decode.d1.loss_mask: 0.4210, decode.d1.loss_dice: 0.6404, decode.d2.loss_cls: 0.1572, decode.d2.loss_mask: 0.4164, decode.d2.loss_dice: 0.6264, decode.d3.loss_cls: 0.1480, decode.d3.loss_mask: 0.4121, decode.d3.loss_dice: 0.6154, decode.d4.loss_cls: 0.1400, decode.d4.loss_mask: 0.4125, decode.d4.loss_dice: 0.6155, decode.d5.loss_cls: 0.1387, decode.d5.loss_mask: 0.4126, decode.d5.loss_dice: 0.6161, decode.d6.loss_cls: 0.1363, decode.d6.loss_mask: 0.4110, decode.d6.loss_dice: 0.6113, decode.d7.loss_cls: 0.1338, decode.d7.loss_mask: 0.4108, decode.d7.loss_dice: 0.6152, decode.d8.loss_cls: 0.1314, decode.d8.loss_mask: 0.4102, decode.d8.loss_dice: 0.6114, loss: 12.7542, grad_norm: 43.1206 2023-11-12 19:21:03,753 - mmseg - INFO - Iter [148650/160000] lr: 7.094e-06, eta: 1:34:21, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1219, decode.loss_mask: 0.3905, decode.loss_dice: 0.6025, decode.d0.loss_cls: 1.0573, decode.d0.loss_mask: 0.4196, decode.d0.loss_dice: 0.6529, decode.d1.loss_cls: 0.1789, decode.d1.loss_mask: 0.4015, decode.d1.loss_dice: 0.6314, decode.d2.loss_cls: 0.1494, decode.d2.loss_mask: 0.3953, decode.d2.loss_dice: 0.6160, decode.d3.loss_cls: 0.1402, decode.d3.loss_mask: 0.3941, decode.d3.loss_dice: 0.6071, decode.d4.loss_cls: 0.1303, decode.d4.loss_mask: 0.3936, decode.d4.loss_dice: 0.6039, decode.d5.loss_cls: 0.1279, decode.d5.loss_mask: 0.3926, decode.d5.loss_dice: 0.6006, decode.d6.loss_cls: 0.1273, decode.d6.loss_mask: 0.3912, decode.d6.loss_dice: 0.5985, decode.d7.loss_cls: 0.1306, decode.d7.loss_mask: 0.3907, decode.d7.loss_dice: 0.6022, decode.d8.loss_cls: 0.1247, decode.d8.loss_mask: 0.3902, decode.d8.loss_dice: 0.6012, loss: 12.3643, grad_norm: 45.9445 2023-11-12 19:21:27,620 - mmseg - INFO - Iter [148700/160000] lr: 7.063e-06, eta: 1:33:56, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1348, decode.loss_mask: 0.3702, decode.loss_dice: 0.5944, decode.d0.loss_cls: 1.0931, decode.d0.loss_mask: 0.4011, decode.d0.loss_dice: 0.6482, decode.d1.loss_cls: 0.1894, decode.d1.loss_mask: 0.3818, decode.d1.loss_dice: 0.6212, decode.d2.loss_cls: 0.1636, decode.d2.loss_mask: 0.3765, decode.d2.loss_dice: 0.6101, decode.d3.loss_cls: 0.1571, decode.d3.loss_mask: 0.3713, decode.d3.loss_dice: 0.6015, decode.d4.loss_cls: 0.1418, decode.d4.loss_mask: 0.3720, decode.d4.loss_dice: 0.6023, decode.d5.loss_cls: 0.1434, decode.d5.loss_mask: 0.3703, decode.d5.loss_dice: 0.5985, decode.d6.loss_cls: 0.1354, decode.d6.loss_mask: 0.3701, decode.d6.loss_dice: 0.5967, decode.d7.loss_cls: 0.1352, decode.d7.loss_mask: 0.3698, decode.d7.loss_dice: 0.5969, decode.d8.loss_cls: 0.1368, decode.d8.loss_mask: 0.3699, decode.d8.loss_dice: 0.5952, loss: 12.2485, grad_norm: 42.5941 2023-11-12 19:21:51,461 - mmseg - INFO - Iter [148750/160000] lr: 7.032e-06, eta: 1:33:31, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1224, decode.loss_mask: 0.3912, decode.loss_dice: 0.5982, decode.d0.loss_cls: 1.0534, decode.d0.loss_mask: 0.4222, decode.d0.loss_dice: 0.6398, decode.d1.loss_cls: 0.1804, decode.d1.loss_mask: 0.4008, decode.d1.loss_dice: 0.6258, decode.d2.loss_cls: 0.1587, decode.d2.loss_mask: 0.3947, decode.d2.loss_dice: 0.6100, decode.d3.loss_cls: 0.1417, decode.d3.loss_mask: 0.3942, decode.d3.loss_dice: 0.5980, decode.d4.loss_cls: 0.1362, decode.d4.loss_mask: 0.3934, decode.d4.loss_dice: 0.5949, decode.d5.loss_cls: 0.1272, decode.d5.loss_mask: 0.3930, decode.d5.loss_dice: 0.5990, decode.d6.loss_cls: 0.1265, decode.d6.loss_mask: 0.3921, decode.d6.loss_dice: 0.5971, decode.d7.loss_cls: 0.1242, decode.d7.loss_mask: 0.3909, decode.d7.loss_dice: 0.5971, decode.d8.loss_cls: 0.1234, decode.d8.loss_mask: 0.3918, decode.d8.loss_dice: 0.5953, loss: 12.3138, grad_norm: 42.6711 2023-11-12 19:22:15,576 - mmseg - INFO - Iter [148800/160000] lr: 7.001e-06, eta: 1:33:06, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1313, decode.loss_mask: 0.4001, decode.loss_dice: 0.6047, decode.d0.loss_cls: 1.0786, decode.d0.loss_mask: 0.4283, decode.d0.loss_dice: 0.6551, decode.d1.loss_cls: 0.1814, decode.d1.loss_mask: 0.4084, decode.d1.loss_dice: 0.6324, decode.d2.loss_cls: 0.1598, decode.d2.loss_mask: 0.4030, decode.d2.loss_dice: 0.6180, decode.d3.loss_cls: 0.1491, decode.d3.loss_mask: 0.4026, decode.d3.loss_dice: 0.6156, decode.d4.loss_cls: 0.1406, decode.d4.loss_mask: 0.4008, decode.d4.loss_dice: 0.6122, decode.d5.loss_cls: 0.1395, decode.d5.loss_mask: 0.4003, decode.d5.loss_dice: 0.6068, decode.d6.loss_cls: 0.1373, decode.d6.loss_mask: 0.4001, decode.d6.loss_dice: 0.6072, decode.d7.loss_cls: 0.1363, decode.d7.loss_mask: 0.3994, decode.d7.loss_dice: 0.6094, decode.d8.loss_cls: 0.1314, decode.d8.loss_mask: 0.4007, decode.d8.loss_dice: 0.6090, loss: 12.5994, grad_norm: 43.8307 2023-11-12 19:22:41,426 - mmseg - INFO - Iter [148850/160000] lr: 6.969e-06, eta: 1:32:41, time: 0.515, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1320, decode.loss_mask: 0.3954, decode.loss_dice: 0.6193, decode.d0.loss_cls: 1.1115, decode.d0.loss_mask: 0.4181, decode.d0.loss_dice: 0.6727, decode.d1.loss_cls: 0.1817, decode.d1.loss_mask: 0.4052, decode.d1.loss_dice: 0.6473, decode.d2.loss_cls: 0.1549, decode.d2.loss_mask: 0.3998, decode.d2.loss_dice: 0.6352, decode.d3.loss_cls: 0.1447, decode.d3.loss_mask: 0.3990, decode.d3.loss_dice: 0.6253, decode.d4.loss_cls: 0.1429, decode.d4.loss_mask: 0.3961, decode.d4.loss_dice: 0.6261, decode.d5.loss_cls: 0.1368, decode.d5.loss_mask: 0.3963, decode.d5.loss_dice: 0.6236, decode.d6.loss_cls: 0.1363, decode.d6.loss_mask: 0.3962, decode.d6.loss_dice: 0.6228, decode.d7.loss_cls: 0.1329, decode.d7.loss_mask: 0.3953, decode.d7.loss_dice: 0.6226, decode.d8.loss_cls: 0.1307, decode.d8.loss_mask: 0.3960, decode.d8.loss_dice: 0.6222, loss: 12.7188, grad_norm: 45.1036 2023-11-12 19:23:05,658 - mmseg - INFO - Iter [148900/160000] lr: 6.938e-06, eta: 1:32:16, time: 0.486, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1339, decode.loss_mask: 0.3996, decode.loss_dice: 0.6040, decode.d0.loss_cls: 1.0638, decode.d0.loss_mask: 0.4291, decode.d0.loss_dice: 0.6486, decode.d1.loss_cls: 0.1824, decode.d1.loss_mask: 0.4126, decode.d1.loss_dice: 0.6303, decode.d2.loss_cls: 0.1596, decode.d2.loss_mask: 0.4057, decode.d2.loss_dice: 0.6164, decode.d3.loss_cls: 0.1478, decode.d3.loss_mask: 0.4032, decode.d3.loss_dice: 0.6082, decode.d4.loss_cls: 0.1396, decode.d4.loss_mask: 0.4018, decode.d4.loss_dice: 0.6057, decode.d5.loss_cls: 0.1364, decode.d5.loss_mask: 0.4017, decode.d5.loss_dice: 0.6073, decode.d6.loss_cls: 0.1338, decode.d6.loss_mask: 0.4000, decode.d6.loss_dice: 0.6043, decode.d7.loss_cls: 0.1333, decode.d7.loss_mask: 0.4001, decode.d7.loss_dice: 0.6064, decode.d8.loss_cls: 0.1316, decode.d8.loss_mask: 0.4010, decode.d8.loss_dice: 0.6049, loss: 12.5532, grad_norm: 47.6943 2023-11-12 19:23:29,459 - mmseg - INFO - Iter [148950/160000] lr: 6.907e-06, eta: 1:31:51, time: 0.476, data_time: 0.011, memory: 41146, decode.loss_cls: 0.1328, decode.loss_mask: 0.3991, decode.loss_dice: 0.6111, decode.d0.loss_cls: 1.0875, decode.d0.loss_mask: 0.4279, decode.d0.loss_dice: 0.6650, decode.d1.loss_cls: 0.1979, decode.d1.loss_mask: 0.4108, decode.d1.loss_dice: 0.6413, decode.d2.loss_cls: 0.1641, decode.d2.loss_mask: 0.4023, decode.d2.loss_dice: 0.6275, decode.d3.loss_cls: 0.1536, decode.d3.loss_mask: 0.4017, decode.d3.loss_dice: 0.6180, decode.d4.loss_cls: 0.1505, decode.d4.loss_mask: 0.3986, decode.d4.loss_dice: 0.6144, decode.d5.loss_cls: 0.1448, decode.d5.loss_mask: 0.3984, decode.d5.loss_dice: 0.6125, decode.d6.loss_cls: 0.1389, decode.d6.loss_mask: 0.3989, decode.d6.loss_dice: 0.6136, decode.d7.loss_cls: 0.1365, decode.d7.loss_mask: 0.3986, decode.d7.loss_dice: 0.6140, decode.d8.loss_cls: 0.1346, decode.d8.loss_mask: 0.3993, decode.d8.loss_dice: 0.6140, loss: 12.7082, grad_norm: 44.4743 2023-11-12 19:23:53,268 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 19:23:53,268 - mmseg - INFO - Iter [149000/160000] lr: 6.876e-06, eta: 1:31:26, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1332, decode.loss_mask: 0.3916, decode.loss_dice: 0.6159, decode.d0.loss_cls: 1.1023, decode.d0.loss_mask: 0.4221, decode.d0.loss_dice: 0.6739, decode.d1.loss_cls: 0.1922, decode.d1.loss_mask: 0.4038, decode.d1.loss_dice: 0.6491, decode.d2.loss_cls: 0.1620, decode.d2.loss_mask: 0.3956, decode.d2.loss_dice: 0.6340, decode.d3.loss_cls: 0.1569, decode.d3.loss_mask: 0.3930, decode.d3.loss_dice: 0.6227, decode.d4.loss_cls: 0.1479, decode.d4.loss_mask: 0.3934, decode.d4.loss_dice: 0.6211, decode.d5.loss_cls: 0.1415, decode.d5.loss_mask: 0.3924, decode.d5.loss_dice: 0.6241, decode.d6.loss_cls: 0.1433, decode.d6.loss_mask: 0.3923, decode.d6.loss_dice: 0.6169, decode.d7.loss_cls: 0.1383, decode.d7.loss_mask: 0.3916, decode.d7.loss_dice: 0.6170, decode.d8.loss_cls: 0.1345, decode.d8.loss_mask: 0.3915, decode.d8.loss_dice: 0.6168, loss: 12.7106, grad_norm: 43.9450 2023-11-12 19:24:22,622 - mmseg - INFO - Iter [149050/160000] lr: 6.844e-06, eta: 1:31:01, time: 0.587, data_time: 0.058, memory: 41146, decode.loss_cls: 0.1213, decode.loss_mask: 0.3916, decode.loss_dice: 0.6127, decode.d0.loss_cls: 1.1023, decode.d0.loss_mask: 0.4181, decode.d0.loss_dice: 0.6580, decode.d1.loss_cls: 0.1751, decode.d1.loss_mask: 0.4032, decode.d1.loss_dice: 0.6358, decode.d2.loss_cls: 0.1556, decode.d2.loss_mask: 0.3963, decode.d2.loss_dice: 0.6282, decode.d3.loss_cls: 0.1405, decode.d3.loss_mask: 0.3950, decode.d3.loss_dice: 0.6161, decode.d4.loss_cls: 0.1363, decode.d4.loss_mask: 0.3935, decode.d4.loss_dice: 0.6178, decode.d5.loss_cls: 0.1294, decode.d5.loss_mask: 0.3935, decode.d5.loss_dice: 0.6180, decode.d6.loss_cls: 0.1335, decode.d6.loss_mask: 0.3925, decode.d6.loss_dice: 0.6079, decode.d7.loss_cls: 0.1248, decode.d7.loss_mask: 0.3918, decode.d7.loss_dice: 0.6098, decode.d8.loss_cls: 0.1242, decode.d8.loss_mask: 0.3916, decode.d8.loss_dice: 0.6123, loss: 12.5264, grad_norm: 44.5866 2023-11-12 19:24:49,674 - mmseg - INFO - Iter [149100/160000] lr: 6.813e-06, eta: 1:30:36, time: 0.541, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1364, decode.loss_mask: 0.3966, decode.loss_dice: 0.6139, decode.d0.loss_cls: 1.0990, decode.d0.loss_mask: 0.4261, decode.d0.loss_dice: 0.6605, decode.d1.loss_cls: 0.1996, decode.d1.loss_mask: 0.4044, decode.d1.loss_dice: 0.6356, decode.d2.loss_cls: 0.1651, decode.d2.loss_mask: 0.3998, decode.d2.loss_dice: 0.6237, decode.d3.loss_cls: 0.1578, decode.d3.loss_mask: 0.3975, decode.d3.loss_dice: 0.6186, decode.d4.loss_cls: 0.1521, decode.d4.loss_mask: 0.3962, decode.d4.loss_dice: 0.6181, decode.d5.loss_cls: 0.1475, decode.d5.loss_mask: 0.3974, decode.d5.loss_dice: 0.6198, decode.d6.loss_cls: 0.1427, decode.d6.loss_mask: 0.3984, decode.d6.loss_dice: 0.6184, decode.d7.loss_cls: 0.1348, decode.d7.loss_mask: 0.3975, decode.d7.loss_dice: 0.6173, decode.d8.loss_cls: 0.1361, decode.d8.loss_mask: 0.3974, decode.d8.loss_dice: 0.6173, loss: 12.7253, grad_norm: 45.1017 2023-11-12 19:25:13,949 - mmseg - INFO - Iter [149150/160000] lr: 6.782e-06, eta: 1:30:11, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1214, decode.loss_mask: 0.3861, decode.loss_dice: 0.6166, decode.d0.loss_cls: 1.0699, decode.d0.loss_mask: 0.4130, decode.d0.loss_dice: 0.6666, decode.d1.loss_cls: 0.1772, decode.d1.loss_mask: 0.3937, decode.d1.loss_dice: 0.6476, decode.d2.loss_cls: 0.1488, decode.d2.loss_mask: 0.3909, decode.d2.loss_dice: 0.6325, decode.d3.loss_cls: 0.1314, decode.d3.loss_mask: 0.3873, decode.d3.loss_dice: 0.6191, decode.d4.loss_cls: 0.1292, decode.d4.loss_mask: 0.3869, decode.d4.loss_dice: 0.6175, decode.d5.loss_cls: 0.1255, decode.d5.loss_mask: 0.3865, decode.d5.loss_dice: 0.6203, decode.d6.loss_cls: 0.1215, decode.d6.loss_mask: 0.3864, decode.d6.loss_dice: 0.6172, decode.d7.loss_cls: 0.1177, decode.d7.loss_mask: 0.3861, decode.d7.loss_dice: 0.6168, decode.d8.loss_cls: 0.1157, decode.d8.loss_mask: 0.3852, decode.d8.loss_dice: 0.6166, loss: 12.4315, grad_norm: 45.0490 2023-11-12 19:25:38,335 - mmseg - INFO - Iter [149200/160000] lr: 6.751e-06, eta: 1:29:46, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1386, decode.loss_mask: 0.3834, decode.loss_dice: 0.6274, decode.d0.loss_cls: 1.0982, decode.d0.loss_mask: 0.4114, decode.d0.loss_dice: 0.6814, decode.d1.loss_cls: 0.2006, decode.d1.loss_mask: 0.3929, decode.d1.loss_dice: 0.6517, decode.d2.loss_cls: 0.1752, decode.d2.loss_mask: 0.3853, decode.d2.loss_dice: 0.6398, decode.d3.loss_cls: 0.1574, decode.d3.loss_mask: 0.3842, decode.d3.loss_dice: 0.6325, decode.d4.loss_cls: 0.1521, decode.d4.loss_mask: 0.3832, decode.d4.loss_dice: 0.6308, decode.d5.loss_cls: 0.1488, decode.d5.loss_mask: 0.3834, decode.d5.loss_dice: 0.6324, decode.d6.loss_cls: 0.1462, decode.d6.loss_mask: 0.3829, decode.d6.loss_dice: 0.6287, decode.d7.loss_cls: 0.1474, decode.d7.loss_mask: 0.3828, decode.d7.loss_dice: 0.6267, decode.d8.loss_cls: 0.1408, decode.d8.loss_mask: 0.3824, decode.d8.loss_dice: 0.6294, loss: 12.7581, grad_norm: 44.3470 2023-11-12 19:26:02,603 - mmseg - INFO - Iter [149250/160000] lr: 6.719e-06, eta: 1:29:21, time: 0.485, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1099, decode.loss_mask: 0.4003, decode.loss_dice: 0.5990, decode.d0.loss_cls: 1.0458, decode.d0.loss_mask: 0.4302, decode.d0.loss_dice: 0.6390, decode.d1.loss_cls: 0.1632, decode.d1.loss_mask: 0.4097, decode.d1.loss_dice: 0.6252, decode.d2.loss_cls: 0.1410, decode.d2.loss_mask: 0.4055, decode.d2.loss_dice: 0.6111, decode.d3.loss_cls: 0.1222, decode.d3.loss_mask: 0.4034, decode.d3.loss_dice: 0.6010, decode.d4.loss_cls: 0.1165, decode.d4.loss_mask: 0.4017, decode.d4.loss_dice: 0.6015, decode.d5.loss_cls: 0.1168, decode.d5.loss_mask: 0.4010, decode.d5.loss_dice: 0.5987, decode.d6.loss_cls: 0.1121, decode.d6.loss_mask: 0.4012, decode.d6.loss_dice: 0.5983, decode.d7.loss_cls: 0.1082, decode.d7.loss_mask: 0.4009, decode.d7.loss_dice: 0.5976, decode.d8.loss_cls: 0.1080, decode.d8.loss_mask: 0.4011, decode.d8.loss_dice: 0.5979, loss: 12.2679, grad_norm: 47.2614 2023-11-12 19:26:27,304 - mmseg - INFO - Iter [149300/160000] lr: 6.688e-06, eta: 1:28:56, time: 0.494, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1219, decode.loss_mask: 0.3996, decode.loss_dice: 0.6116, decode.d0.loss_cls: 1.0704, decode.d0.loss_mask: 0.4275, decode.d0.loss_dice: 0.6666, decode.d1.loss_cls: 0.1864, decode.d1.loss_mask: 0.4087, decode.d1.loss_dice: 0.6420, decode.d2.loss_cls: 0.1541, decode.d2.loss_mask: 0.4033, decode.d2.loss_dice: 0.6272, decode.d3.loss_cls: 0.1413, decode.d3.loss_mask: 0.4008, decode.d3.loss_dice: 0.6195, decode.d4.loss_cls: 0.1349, decode.d4.loss_mask: 0.4007, decode.d4.loss_dice: 0.6126, decode.d5.loss_cls: 0.1306, decode.d5.loss_mask: 0.3993, decode.d5.loss_dice: 0.6105, decode.d6.loss_cls: 0.1296, decode.d6.loss_mask: 0.4007, decode.d6.loss_dice: 0.6118, decode.d7.loss_cls: 0.1279, decode.d7.loss_mask: 0.4014, decode.d7.loss_dice: 0.6142, decode.d8.loss_cls: 0.1239, decode.d8.loss_mask: 0.4007, decode.d8.loss_dice: 0.6142, loss: 12.5937, grad_norm: 43.2775 2023-11-12 19:26:51,060 - mmseg - INFO - Iter [149350/160000] lr: 6.657e-06, eta: 1:28:31, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1252, decode.loss_mask: 0.4024, decode.loss_dice: 0.5941, decode.d0.loss_cls: 1.0658, decode.d0.loss_mask: 0.4326, decode.d0.loss_dice: 0.6472, decode.d1.loss_cls: 0.1853, decode.d1.loss_mask: 0.4137, decode.d1.loss_dice: 0.6186, decode.d2.loss_cls: 0.1513, decode.d2.loss_mask: 0.4072, decode.d2.loss_dice: 0.6089, decode.d3.loss_cls: 0.1395, decode.d3.loss_mask: 0.4065, decode.d3.loss_dice: 0.6023, decode.d4.loss_cls: 0.1382, decode.d4.loss_mask: 0.4056, decode.d4.loss_dice: 0.5997, decode.d5.loss_cls: 0.1304, decode.d5.loss_mask: 0.4048, decode.d5.loss_dice: 0.6020, decode.d6.loss_cls: 0.1264, decode.d6.loss_mask: 0.4041, decode.d6.loss_dice: 0.5971, decode.d7.loss_cls: 0.1255, decode.d7.loss_mask: 0.4029, decode.d7.loss_dice: 0.5979, decode.d8.loss_cls: 0.1252, decode.d8.loss_mask: 0.4030, decode.d8.loss_dice: 0.5992, loss: 12.4628, grad_norm: 43.8283 2023-11-12 19:27:14,905 - mmseg - INFO - Iter [149400/160000] lr: 6.626e-06, eta: 1:28:06, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1352, decode.loss_mask: 0.4012, decode.loss_dice: 0.6174, decode.d0.loss_cls: 1.0650, decode.d0.loss_mask: 0.4309, decode.d0.loss_dice: 0.6731, decode.d1.loss_cls: 0.1817, decode.d1.loss_mask: 0.4124, decode.d1.loss_dice: 0.6488, decode.d2.loss_cls: 0.1549, decode.d2.loss_mask: 0.4079, decode.d2.loss_dice: 0.6307, decode.d3.loss_cls: 0.1467, decode.d3.loss_mask: 0.4049, decode.d3.loss_dice: 0.6247, decode.d4.loss_cls: 0.1409, decode.d4.loss_mask: 0.4043, decode.d4.loss_dice: 0.6209, decode.d5.loss_cls: 0.1330, decode.d5.loss_mask: 0.4035, decode.d5.loss_dice: 0.6193, decode.d6.loss_cls: 0.1311, decode.d6.loss_mask: 0.4029, decode.d6.loss_dice: 0.6160, decode.d7.loss_cls: 0.1264, decode.d7.loss_mask: 0.4026, decode.d7.loss_dice: 0.6166, decode.d8.loss_cls: 0.1318, decode.d8.loss_mask: 0.4018, decode.d8.loss_dice: 0.6175, loss: 12.7041, grad_norm: 51.3535 2023-11-12 19:27:39,249 - mmseg - INFO - Iter [149450/160000] lr: 6.594e-06, eta: 1:27:41, time: 0.487, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1300, decode.loss_mask: 0.3991, decode.loss_dice: 0.6042, decode.d0.loss_cls: 1.0878, decode.d0.loss_mask: 0.4288, decode.d0.loss_dice: 0.6504, decode.d1.loss_cls: 0.2006, decode.d1.loss_mask: 0.4097, decode.d1.loss_dice: 0.6298, decode.d2.loss_cls: 0.1678, decode.d2.loss_mask: 0.4058, decode.d2.loss_dice: 0.6196, decode.d3.loss_cls: 0.1469, decode.d3.loss_mask: 0.4011, decode.d3.loss_dice: 0.6110, decode.d4.loss_cls: 0.1397, decode.d4.loss_mask: 0.3994, decode.d4.loss_dice: 0.6097, decode.d5.loss_cls: 0.1388, decode.d5.loss_mask: 0.3997, decode.d5.loss_dice: 0.6095, decode.d6.loss_cls: 0.1341, decode.d6.loss_mask: 0.3986, decode.d6.loss_dice: 0.6022, decode.d7.loss_cls: 0.1324, decode.d7.loss_mask: 0.3987, decode.d7.loss_dice: 0.6076, decode.d8.loss_cls: 0.1312, decode.d8.loss_mask: 0.3986, decode.d8.loss_dice: 0.6094, loss: 12.6022, grad_norm: 46.6170 2023-11-12 19:28:06,010 - mmseg - INFO - Iter [149500/160000] lr: 6.563e-06, eta: 1:27:17, time: 0.535, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1420, decode.loss_mask: 0.3855, decode.loss_dice: 0.6109, decode.d0.loss_cls: 1.1289, decode.d0.loss_mask: 0.4151, decode.d0.loss_dice: 0.6634, decode.d1.loss_cls: 0.1983, decode.d1.loss_mask: 0.3987, decode.d1.loss_dice: 0.6427, decode.d2.loss_cls: 0.1684, decode.d2.loss_mask: 0.3929, decode.d2.loss_dice: 0.6268, decode.d3.loss_cls: 0.1553, decode.d3.loss_mask: 0.3884, decode.d3.loss_dice: 0.6190, decode.d4.loss_cls: 0.1477, decode.d4.loss_mask: 0.3885, decode.d4.loss_dice: 0.6172, decode.d5.loss_cls: 0.1481, decode.d5.loss_mask: 0.3878, decode.d5.loss_dice: 0.6153, decode.d6.loss_cls: 0.1471, decode.d6.loss_mask: 0.3863, decode.d6.loss_dice: 0.6134, decode.d7.loss_cls: 0.1411, decode.d7.loss_mask: 0.3855, decode.d7.loss_dice: 0.6142, decode.d8.loss_cls: 0.1395, decode.d8.loss_mask: 0.3857, decode.d8.loss_dice: 0.6098, loss: 12.6637, grad_norm: 43.2977 2023-11-12 19:28:30,003 - mmseg - INFO - Iter [149550/160000] lr: 6.532e-06, eta: 1:26:52, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1382, decode.loss_mask: 0.3966, decode.loss_dice: 0.6210, decode.d0.loss_cls: 1.0893, decode.d0.loss_mask: 0.4235, decode.d0.loss_dice: 0.6715, decode.d1.loss_cls: 0.1893, decode.d1.loss_mask: 0.4065, decode.d1.loss_dice: 0.6524, decode.d2.loss_cls: 0.1621, decode.d2.loss_mask: 0.4012, decode.d2.loss_dice: 0.6351, decode.d3.loss_cls: 0.1538, decode.d3.loss_mask: 0.3966, decode.d3.loss_dice: 0.6241, decode.d4.loss_cls: 0.1509, decode.d4.loss_mask: 0.3957, decode.d4.loss_dice: 0.6210, decode.d5.loss_cls: 0.1457, decode.d5.loss_mask: 0.3954, decode.d5.loss_dice: 0.6228, decode.d6.loss_cls: 0.1396, decode.d6.loss_mask: 0.3959, decode.d6.loss_dice: 0.6227, decode.d7.loss_cls: 0.1390, decode.d7.loss_mask: 0.3957, decode.d7.loss_dice: 0.6177, decode.d8.loss_cls: 0.1361, decode.d8.loss_mask: 0.3961, decode.d8.loss_dice: 0.6241, loss: 12.7593, grad_norm: 44.1721 2023-11-12 19:28:56,484 - mmseg - INFO - Iter [149600/160000] lr: 6.501e-06, eta: 1:26:27, time: 0.530, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1258, decode.loss_mask: 0.3861, decode.loss_dice: 0.5968, decode.d0.loss_cls: 1.0774, decode.d0.loss_mask: 0.4137, decode.d0.loss_dice: 0.6483, decode.d1.loss_cls: 0.1840, decode.d1.loss_mask: 0.3966, decode.d1.loss_dice: 0.6227, decode.d2.loss_cls: 0.1490, decode.d2.loss_mask: 0.3903, decode.d2.loss_dice: 0.6069, decode.d3.loss_cls: 0.1369, decode.d3.loss_mask: 0.3878, decode.d3.loss_dice: 0.6011, decode.d4.loss_cls: 0.1285, decode.d4.loss_mask: 0.3863, decode.d4.loss_dice: 0.6000, decode.d5.loss_cls: 0.1297, decode.d5.loss_mask: 0.3868, decode.d5.loss_dice: 0.6012, decode.d6.loss_cls: 0.1277, decode.d6.loss_mask: 0.3861, decode.d6.loss_dice: 0.5966, decode.d7.loss_cls: 0.1260, decode.d7.loss_mask: 0.3865, decode.d7.loss_dice: 0.5983, decode.d8.loss_cls: 0.1208, decode.d8.loss_mask: 0.3863, decode.d8.loss_dice: 0.5982, loss: 12.2823, grad_norm: 42.1954 2023-11-12 19:29:20,629 - mmseg - INFO - Iter [149650/160000] lr: 6.469e-06, eta: 1:26:02, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1393, decode.loss_mask: 0.3926, decode.loss_dice: 0.6118, decode.d0.loss_cls: 1.1101, decode.d0.loss_mask: 0.4237, decode.d0.loss_dice: 0.6626, decode.d1.loss_cls: 0.1905, decode.d1.loss_mask: 0.4042, decode.d1.loss_dice: 0.6437, decode.d2.loss_cls: 0.1737, decode.d2.loss_mask: 0.3986, decode.d2.loss_dice: 0.6272, decode.d3.loss_cls: 0.1615, decode.d3.loss_mask: 0.3944, decode.d3.loss_dice: 0.6136, decode.d4.loss_cls: 0.1599, decode.d4.loss_mask: 0.3940, decode.d4.loss_dice: 0.6159, decode.d5.loss_cls: 0.1460, decode.d5.loss_mask: 0.3935, decode.d5.loss_dice: 0.6145, decode.d6.loss_cls: 0.1469, decode.d6.loss_mask: 0.3938, decode.d6.loss_dice: 0.6105, decode.d7.loss_cls: 0.1444, decode.d7.loss_mask: 0.3923, decode.d7.loss_dice: 0.6122, decode.d8.loss_cls: 0.1432, decode.d8.loss_mask: 0.3926, decode.d8.loss_dice: 0.6133, loss: 12.7205, grad_norm: 42.1039 2023-11-12 19:29:45,303 - mmseg - INFO - Iter [149700/160000] lr: 6.438e-06, eta: 1:25:37, time: 0.493, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1352, decode.loss_mask: 0.3968, decode.loss_dice: 0.6029, decode.d0.loss_cls: 1.1087, decode.d0.loss_mask: 0.4275, decode.d0.loss_dice: 0.6551, decode.d1.loss_cls: 0.2062, decode.d1.loss_mask: 0.4078, decode.d1.loss_dice: 0.6252, decode.d2.loss_cls: 0.1661, decode.d2.loss_mask: 0.4031, decode.d2.loss_dice: 0.6142, decode.d3.loss_cls: 0.1554, decode.d3.loss_mask: 0.3990, decode.d3.loss_dice: 0.6046, decode.d4.loss_cls: 0.1479, decode.d4.loss_mask: 0.3986, decode.d4.loss_dice: 0.6046, decode.d5.loss_cls: 0.1391, decode.d5.loss_mask: 0.3985, decode.d5.loss_dice: 0.6075, decode.d6.loss_cls: 0.1422, decode.d6.loss_mask: 0.3966, decode.d6.loss_dice: 0.6023, decode.d7.loss_cls: 0.1379, decode.d7.loss_mask: 0.3972, decode.d7.loss_dice: 0.6049, decode.d8.loss_cls: 0.1373, decode.d8.loss_mask: 0.3959, decode.d8.loss_dice: 0.6005, loss: 12.6189, grad_norm: 45.3677 2023-11-12 19:30:09,722 - mmseg - INFO - Iter [149750/160000] lr: 6.407e-06, eta: 1:25:12, time: 0.488, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1295, decode.loss_mask: 0.4173, decode.loss_dice: 0.5963, decode.d0.loss_cls: 1.0623, decode.d0.loss_mask: 0.4478, decode.d0.loss_dice: 0.6495, decode.d1.loss_cls: 0.1812, decode.d1.loss_mask: 0.4300, decode.d1.loss_dice: 0.6227, decode.d2.loss_cls: 0.1625, decode.d2.loss_mask: 0.4223, decode.d2.loss_dice: 0.6125, decode.d3.loss_cls: 0.1454, decode.d3.loss_mask: 0.4205, decode.d3.loss_dice: 0.6012, decode.d4.loss_cls: 0.1353, decode.d4.loss_mask: 0.4206, decode.d4.loss_dice: 0.6013, decode.d5.loss_cls: 0.1341, decode.d5.loss_mask: 0.4201, decode.d5.loss_dice: 0.6038, decode.d6.loss_cls: 0.1303, decode.d6.loss_mask: 0.4184, decode.d6.loss_dice: 0.6006, decode.d7.loss_cls: 0.1308, decode.d7.loss_mask: 0.4180, decode.d7.loss_dice: 0.5993, decode.d8.loss_cls: 0.1280, decode.d8.loss_mask: 0.4183, decode.d8.loss_dice: 0.6007, loss: 12.6605, grad_norm: 48.2056 2023-11-12 19:30:33,493 - mmseg - INFO - Iter [149800/160000] lr: 6.376e-06, eta: 1:24:47, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1238, decode.loss_mask: 0.4108, decode.loss_dice: 0.6129, decode.d0.loss_cls: 1.0468, decode.d0.loss_mask: 0.4431, decode.d0.loss_dice: 0.6691, decode.d1.loss_cls: 0.1698, decode.d1.loss_mask: 0.4228, decode.d1.loss_dice: 0.6376, decode.d2.loss_cls: 0.1492, decode.d2.loss_mask: 0.4166, decode.d2.loss_dice: 0.6262, decode.d3.loss_cls: 0.1397, decode.d3.loss_mask: 0.4144, decode.d3.loss_dice: 0.6139, decode.d4.loss_cls: 0.1310, decode.d4.loss_mask: 0.4145, decode.d4.loss_dice: 0.6147, decode.d5.loss_cls: 0.1258, decode.d5.loss_mask: 0.4140, decode.d5.loss_dice: 0.6164, decode.d6.loss_cls: 0.1248, decode.d6.loss_mask: 0.4122, decode.d6.loss_dice: 0.6123, decode.d7.loss_cls: 0.1225, decode.d7.loss_mask: 0.4128, decode.d7.loss_dice: 0.6120, decode.d8.loss_cls: 0.1243, decode.d8.loss_mask: 0.4115, decode.d8.loss_dice: 0.6169, loss: 12.6625, grad_norm: 46.1271 2023-11-12 19:30:57,226 - mmseg - INFO - Iter [149850/160000] lr: 6.344e-06, eta: 1:24:22, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1290, decode.loss_mask: 0.3895, decode.loss_dice: 0.6127, decode.d0.loss_cls: 1.0790, decode.d0.loss_mask: 0.4184, decode.d0.loss_dice: 0.6584, decode.d1.loss_cls: 0.1896, decode.d1.loss_mask: 0.3993, decode.d1.loss_dice: 0.6311, decode.d2.loss_cls: 0.1523, decode.d2.loss_mask: 0.3954, decode.d2.loss_dice: 0.6252, decode.d3.loss_cls: 0.1460, decode.d3.loss_mask: 0.3918, decode.d3.loss_dice: 0.6127, decode.d4.loss_cls: 0.1407, decode.d4.loss_mask: 0.3914, decode.d4.loss_dice: 0.6136, decode.d5.loss_cls: 0.1327, decode.d5.loss_mask: 0.3913, decode.d5.loss_dice: 0.6114, decode.d6.loss_cls: 0.1285, decode.d6.loss_mask: 0.3895, decode.d6.loss_dice: 0.6119, decode.d7.loss_cls: 0.1298, decode.d7.loss_mask: 0.3890, decode.d7.loss_dice: 0.6130, decode.d8.loss_cls: 0.1274, decode.d8.loss_mask: 0.3887, decode.d8.loss_dice: 0.6121, loss: 12.5013, grad_norm: 47.5578 2023-11-12 19:31:21,121 - mmseg - INFO - Iter [149900/160000] lr: 6.313e-06, eta: 1:23:57, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1275, decode.loss_mask: 0.3911, decode.loss_dice: 0.6021, decode.d0.loss_cls: 1.0866, decode.d0.loss_mask: 0.4165, decode.d0.loss_dice: 0.6506, decode.d1.loss_cls: 0.1865, decode.d1.loss_mask: 0.3997, decode.d1.loss_dice: 0.6258, decode.d2.loss_cls: 0.1598, decode.d2.loss_mask: 0.3955, decode.d2.loss_dice: 0.6166, decode.d3.loss_cls: 0.1493, decode.d3.loss_mask: 0.3924, decode.d3.loss_dice: 0.6092, decode.d4.loss_cls: 0.1431, decode.d4.loss_mask: 0.3917, decode.d4.loss_dice: 0.6079, decode.d5.loss_cls: 0.1374, decode.d5.loss_mask: 0.3903, decode.d5.loss_dice: 0.6045, decode.d6.loss_cls: 0.1342, decode.d6.loss_mask: 0.3887, decode.d6.loss_dice: 0.6032, decode.d7.loss_cls: 0.1304, decode.d7.loss_mask: 0.3879, decode.d7.loss_dice: 0.6012, decode.d8.loss_cls: 0.1293, decode.d8.loss_mask: 0.3891, decode.d8.loss_dice: 0.6016, loss: 12.4497, grad_norm: 44.5737 2023-11-12 19:31:44,859 - mmseg - INFO - Iter [149950/160000] lr: 6.282e-06, eta: 1:23:32, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1348, decode.loss_mask: 0.4026, decode.loss_dice: 0.6185, decode.d0.loss_cls: 1.0743, decode.d0.loss_mask: 0.4338, decode.d0.loss_dice: 0.6759, decode.d1.loss_cls: 0.1873, decode.d1.loss_mask: 0.4154, decode.d1.loss_dice: 0.6420, decode.d2.loss_cls: 0.1665, decode.d2.loss_mask: 0.4089, decode.d2.loss_dice: 0.6350, decode.d3.loss_cls: 0.1523, decode.d3.loss_mask: 0.4063, decode.d3.loss_dice: 0.6255, decode.d4.loss_cls: 0.1505, decode.d4.loss_mask: 0.4045, decode.d4.loss_dice: 0.6262, decode.d5.loss_cls: 0.1437, decode.d5.loss_mask: 0.4039, decode.d5.loss_dice: 0.6229, decode.d6.loss_cls: 0.1404, decode.d6.loss_mask: 0.4041, decode.d6.loss_dice: 0.6202, decode.d7.loss_cls: 0.1357, decode.d7.loss_mask: 0.4033, decode.d7.loss_dice: 0.6193, decode.d8.loss_cls: 0.1315, decode.d8.loss_mask: 0.4038, decode.d8.loss_dice: 0.6199, loss: 12.8091, grad_norm: 46.0037 2023-11-12 19:32:09,080 - mmseg - INFO - Saving checkpoint at 150000 iterations 2023-11-12 19:32:13,039 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 19:32:13,039 - mmseg - INFO - Iter [150000/160000] lr: 6.251e-06, eta: 1:23:07, time: 0.564, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1346, decode.loss_mask: 0.4081, decode.loss_dice: 0.6069, decode.d0.loss_cls: 1.0936, decode.d0.loss_mask: 0.4318, decode.d0.loss_dice: 0.6582, decode.d1.loss_cls: 0.1962, decode.d1.loss_mask: 0.4194, decode.d1.loss_dice: 0.6287, decode.d2.loss_cls: 0.1651, decode.d2.loss_mask: 0.4121, decode.d2.loss_dice: 0.6192, decode.d3.loss_cls: 0.1502, decode.d3.loss_mask: 0.4109, decode.d3.loss_dice: 0.6099, decode.d4.loss_cls: 0.1407, decode.d4.loss_mask: 0.4100, decode.d4.loss_dice: 0.6158, decode.d5.loss_cls: 0.1451, decode.d5.loss_mask: 0.4091, decode.d5.loss_dice: 0.6143, decode.d6.loss_cls: 0.1419, decode.d6.loss_mask: 0.4087, decode.d6.loss_dice: 0.6094, decode.d7.loss_cls: 0.1367, decode.d7.loss_mask: 0.4079, decode.d7.loss_dice: 0.6130, decode.d8.loss_cls: 0.1372, decode.d8.loss_mask: 0.4088, decode.d8.loss_dice: 0.6130, loss: 12.7563, grad_norm: 45.8368 2023-11-12 19:32:32,699 - mmseg - INFO - per class results: 2023-11-12 19:32:32,705 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.39 | 88.55 | | building | 82.87 | 91.25 | | sky | 94.75 | 97.5 | | floor | 83.6 | 91.28 | | tree | 75.68 | 87.59 | | ceiling | 84.57 | 90.89 | | road | 85.71 | 91.02 | | bed | 90.93 | 95.79 | | windowpane | 64.85 | 81.11 | | grass | 64.11 | 76.41 | | cabinet | 64.28 | 76.83 | | sidewalk | 68.17 | 80.73 | | person | 84.6 | 93.42 | | earth | 41.03 | 60.19 | | door | 52.31 | 65.28 | | table | 66.67 | 80.19 | | mountain | 61.41 | 70.77 | | plant | 52.73 | 68.32 | | curtain | 78.06 | 88.01 | | chair | 64.48 | 75.78 | | car | 85.78 | 91.77 | | water | 51.41 | 66.75 | | painting | 76.79 | 87.97 | | sofa | 68.4 | 81.82 | | shelf | 42.37 | 60.12 | | house | 42.69 | 73.87 | | sea | 61.36 | 90.32 | | mirror | 71.64 | 80.37 | | rug | 63.97 | 74.49 | | field | 35.8 | 50.66 | | armchair | 49.06 | 70.04 | | seat | 58.96 | 81.19 | | fence | 51.37 | 68.94 | | desk | 55.56 | 74.65 | | rock | 48.33 | 77.74 | | wardrobe | 44.74 | 63.95 | | lamp | 72.17 | 84.13 | | bathtub | 81.34 | 86.86 | | railing | 37.41 | 54.24 | | cushion | 64.32 | 77.39 | | base | 35.49 | 60.91 | | box | 28.61 | 40.18 | | column | 39.11 | 46.19 | | signboard | 36.83 | 56.46 | | chest of drawers | 44.74 | 65.38 | | counter | 21.02 | 24.75 | | sand | 33.68 | 45.37 | | sink | 78.73 | 83.29 | | skyscraper | 36.53 | 41.7 | | fireplace | 80.02 | 93.41 | | refrigerator | 78.52 | 83.6 | | grandstand | 41.09 | 74.27 | | path | 25.72 | 42.22 | | stairs | 31.45 | 40.17 | | runway | 78.23 | 92.38 | | case | 64.07 | 79.75 | | pool table | 95.16 | 97.51 | | pillow | 63.35 | 78.08 | | screen door | 78.86 | 88.7 | | stairway | 33.32 | 41.55 | | river | 15.01 | 24.31 | | bridge | 76.42 | 89.34 | | bookcase | 40.36 | 62.61 | | blind | 46.76 | 52.44 | | coffee table | 69.15 | 85.85 | | toilet | 83.76 | 91.62 | | flower | 49.85 | 65.94 | | book | 50.43 | 73.11 | | hill | 6.24 | 16.0 | | bench | 56.95 | 68.51 | | countertop | 62.59 | 74.22 | | stove | 84.31 | 89.05 | | palm | 57.26 | 73.02 | | kitchen island | 48.19 | 86.82 | | computer | 70.94 | 78.72 | | swivel chair | 39.35 | 58.79 | | boat | 48.24 | 54.02 | | bar | 47.16 | 64.2 | | arcade machine | 86.0 | 92.16 | | hovel | 28.86 | 45.33 | | bus | 94.23 | 96.42 | | towel | 65.58 | 81.03 | | light | 61.37 | 70.69 | | truck | 30.9 | 58.39 | | tower | 37.61 | 63.6 | | chandelier | 71.85 | 84.32 | | awning | 34.5 | 45.3 | | streetlight | 43.63 | 62.45 | | booth | 35.93 | 71.32 | | television receiver | 74.33 | 82.85 | | airplane | 70.53 | 77.97 | | dirt track | 7.83 | 54.82 | | apparel | 30.11 | 48.93 | | pole | 29.47 | 49.28 | | land | 4.15 | 9.12 | | bannister | 21.4 | 30.38 | | escalator | 19.82 | 20.6 | | ottoman | 58.65 | 77.64 | | bottle | 27.1 | 34.42 | | buffet | 46.12 | 54.08 | | poster | 20.61 | 32.89 | | stage | 17.07 | 31.66 | | van | 51.29 | 70.9 | | ship | 4.35 | 10.64 | | fountain | 20.27 | 21.87 | | conveyer belt | 64.79 | 94.01 | | canopy | 33.18 | 46.18 | | washer | 70.38 | 73.34 | | plaything | 27.11 | 36.31 | | swimming pool | 36.71 | 37.96 | | stool | 43.34 | 70.15 | | barrel | 90.93 | 97.16 | | basket | 40.2 | 49.47 | | waterfall | 63.33 | 89.78 | | tent | 95.29 | 98.18 | | bag | 18.9 | 22.78 | | minibike | 75.62 | 91.97 | | cradle | 85.27 | 97.33 | | oven | 24.99 | 68.56 | | ball | 55.04 | 66.81 | | food | 56.36 | 67.57 | | step | 17.78 | 24.67 | | tank | 61.81 | 66.28 | | trade name | 25.46 | 31.1 | | microwave | 42.78 | 46.37 | | pot | 49.73 | 56.32 | | animal | 55.49 | 56.71 | | bicycle | 54.18 | 74.74 | | lake | 57.69 | 63.59 | | dishwasher | 78.52 | 84.22 | | screen | 59.39 | 89.56 | | blanket | 28.65 | 33.39 | | sculpture | 71.93 | 86.76 | | hood | 67.12 | 75.94 | | sconce | 55.6 | 66.7 | | vase | 52.69 | 67.48 | | traffic light | 43.7 | 67.79 | | tray | 16.76 | 26.5 | | ashcan | 51.68 | 67.39 | | fan | 72.3 | 84.75 | | pier | 34.18 | 44.53 | | crt screen | 4.58 | 13.52 | | plate | 58.62 | 73.73 | | monitor | 9.19 | 12.05 | | bulletin board | 51.1 | 72.37 | | shower | 6.07 | 21.94 | | radiator | 69.33 | 82.48 | | glass | 21.56 | 23.11 | | clock | 56.09 | 68.89 | | flag | 34.47 | 38.49 | +---------------------+-------+-------+ 2023-11-12 19:32:32,705 - mmseg - INFO - Summary: 2023-11-12 19:32:32,705 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 84.04 | 52.43 | 65.6 | +-------+-------+------+ 2023-11-12 19:32:32,705 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 19:32:32,706 - mmseg - INFO - Iter(val) [250] aAcc: 0.8404, mIoU: 0.5243, mAcc: 0.6560, IoU.wall: 0.7939, IoU.building: 0.8287, IoU.sky: 0.9475, IoU.floor: 0.8360, IoU.tree: 0.7568, IoU.ceiling: 0.8457, IoU.road: 0.8571, IoU.bed : 0.9093, IoU.windowpane: 0.6485, IoU.grass: 0.6411, IoU.cabinet: 0.6428, IoU.sidewalk: 0.6817, IoU.person: 0.8460, IoU.earth: 0.4103, IoU.door: 0.5231, IoU.table: 0.6667, IoU.mountain: 0.6141, IoU.plant: 0.5273, IoU.curtain: 0.7806, IoU.chair: 0.6448, IoU.car: 0.8578, IoU.water: 0.5141, IoU.painting: 0.7679, IoU.sofa: 0.6840, IoU.shelf: 0.4237, IoU.house: 0.4269, IoU.sea: 0.6136, IoU.mirror: 0.7164, IoU.rug: 0.6397, IoU.field: 0.3580, IoU.armchair: 0.4906, IoU.seat: 0.5896, IoU.fence: 0.5137, IoU.desk: 0.5556, IoU.rock: 0.4833, IoU.wardrobe: 0.4474, IoU.lamp: 0.7217, IoU.bathtub: 0.8134, IoU.railing: 0.3741, IoU.cushion: 0.6432, IoU.base: 0.3549, IoU.box: 0.2861, IoU.column: 0.3911, IoU.signboard: 0.3683, IoU.chest of drawers: 0.4474, IoU.counter: 0.2102, IoU.sand: 0.3368, IoU.sink: 0.7873, IoU.skyscraper: 0.3653, IoU.fireplace: 0.8002, IoU.refrigerator: 0.7852, IoU.grandstand: 0.4109, IoU.path: 0.2572, IoU.stairs: 0.3145, IoU.runway: 0.7823, IoU.case: 0.6407, IoU.pool table: 0.9516, IoU.pillow: 0.6335, IoU.screen door: 0.7886, IoU.stairway: 0.3332, IoU.river: 0.1501, IoU.bridge: 0.7642, IoU.bookcase: 0.4036, IoU.blind: 0.4676, IoU.coffee table: 0.6915, IoU.toilet: 0.8376, IoU.flower: 0.4985, IoU.book: 0.5043, IoU.hill: 0.0624, IoU.bench: 0.5695, IoU.countertop: 0.6259, IoU.stove: 0.8431, IoU.palm: 0.5726, IoU.kitchen island: 0.4819, IoU.computer: 0.7094, IoU.swivel chair: 0.3935, IoU.boat: 0.4824, IoU.bar: 0.4716, IoU.arcade machine: 0.8600, IoU.hovel: 0.2886, IoU.bus: 0.9423, IoU.towel: 0.6558, IoU.light: 0.6137, IoU.truck: 0.3090, IoU.tower: 0.3761, IoU.chandelier: 0.7185, IoU.awning: 0.3450, IoU.streetlight: 0.4363, IoU.booth: 0.3593, IoU.television receiver: 0.7433, IoU.airplane: 0.7053, IoU.dirt track: 0.0783, IoU.apparel: 0.3011, IoU.pole: 0.2947, IoU.land: 0.0415, IoU.bannister: 0.2140, IoU.escalator: 0.1982, IoU.ottoman: 0.5865, IoU.bottle: 0.2710, IoU.buffet: 0.4612, IoU.poster: 0.2061, IoU.stage: 0.1707, IoU.van: 0.5129, IoU.ship: 0.0435, IoU.fountain: 0.2027, IoU.conveyer belt: 0.6479, IoU.canopy: 0.3318, IoU.washer: 0.7038, IoU.plaything: 0.2711, IoU.swimming pool: 0.3671, IoU.stool: 0.4334, IoU.barrel: 0.9093, IoU.basket: 0.4020, IoU.waterfall: 0.6333, IoU.tent: 0.9529, IoU.bag: 0.1890, IoU.minibike: 0.7562, IoU.cradle: 0.8527, IoU.oven: 0.2499, IoU.ball: 0.5504, IoU.food: 0.5636, IoU.step: 0.1778, IoU.tank: 0.6181, IoU.trade name: 0.2546, IoU.microwave: 0.4278, IoU.pot: 0.4973, IoU.animal: 0.5549, IoU.bicycle: 0.5418, IoU.lake: 0.5769, IoU.dishwasher: 0.7852, IoU.screen: 0.5939, IoU.blanket: 0.2865, IoU.sculpture: 0.7193, IoU.hood: 0.6712, IoU.sconce: 0.5560, IoU.vase: 0.5269, IoU.traffic light: 0.4370, IoU.tray: 0.1676, IoU.ashcan: 0.5168, IoU.fan: 0.7230, IoU.pier: 0.3418, IoU.crt screen: 0.0458, IoU.plate: 0.5862, IoU.monitor: 0.0919, IoU.bulletin board: 0.5110, IoU.shower: 0.0607, IoU.radiator: 0.6933, IoU.glass: 0.2156, IoU.clock: 0.5609, IoU.flag: 0.3447, Acc.wall: 0.8855, Acc.building: 0.9125, Acc.sky: 0.9750, Acc.floor: 0.9128, Acc.tree: 0.8759, Acc.ceiling: 0.9089, Acc.road: 0.9102, Acc.bed : 0.9579, Acc.windowpane: 0.8111, Acc.grass: 0.7641, Acc.cabinet: 0.7683, Acc.sidewalk: 0.8073, Acc.person: 0.9342, Acc.earth: 0.6019, Acc.door: 0.6528, Acc.table: 0.8019, Acc.mountain: 0.7077, Acc.plant: 0.6832, Acc.curtain: 0.8801, Acc.chair: 0.7578, Acc.car: 0.9177, Acc.water: 0.6675, Acc.painting: 0.8797, Acc.sofa: 0.8182, Acc.shelf: 0.6012, Acc.house: 0.7387, Acc.sea: 0.9032, Acc.mirror: 0.8037, Acc.rug: 0.7449, Acc.field: 0.5066, Acc.armchair: 0.7004, Acc.seat: 0.8119, Acc.fence: 0.6894, Acc.desk: 0.7465, Acc.rock: 0.7774, Acc.wardrobe: 0.6395, Acc.lamp: 0.8413, Acc.bathtub: 0.8686, Acc.railing: 0.5424, Acc.cushion: 0.7739, Acc.base: 0.6091, Acc.box: 0.4018, Acc.column: 0.4619, Acc.signboard: 0.5646, Acc.chest of drawers: 0.6538, Acc.counter: 0.2475, Acc.sand: 0.4537, Acc.sink: 0.8329, Acc.skyscraper: 0.4170, Acc.fireplace: 0.9341, Acc.refrigerator: 0.8360, Acc.grandstand: 0.7427, Acc.path: 0.4222, Acc.stairs: 0.4017, Acc.runway: 0.9238, Acc.case: 0.7975, Acc.pool table: 0.9751, Acc.pillow: 0.7808, Acc.screen door: 0.8870, Acc.stairway: 0.4155, Acc.river: 0.2431, Acc.bridge: 0.8934, Acc.bookcase: 0.6261, Acc.blind: 0.5244, Acc.coffee table: 0.8585, Acc.toilet: 0.9162, Acc.flower: 0.6594, Acc.book: 0.7311, Acc.hill: 0.1600, Acc.bench: 0.6851, Acc.countertop: 0.7422, Acc.stove: 0.8905, Acc.palm: 0.7302, Acc.kitchen island: 0.8682, Acc.computer: 0.7872, Acc.swivel chair: 0.5879, Acc.boat: 0.5402, Acc.bar: 0.6420, Acc.arcade machine: 0.9216, Acc.hovel: 0.4533, Acc.bus: 0.9642, Acc.towel: 0.8103, Acc.light: 0.7069, Acc.truck: 0.5839, Acc.tower: 0.6360, Acc.chandelier: 0.8432, Acc.awning: 0.4530, Acc.streetlight: 0.6245, Acc.booth: 0.7132, Acc.television receiver: 0.8285, Acc.airplane: 0.7797, Acc.dirt track: 0.5482, Acc.apparel: 0.4893, Acc.pole: 0.4928, Acc.land: 0.0912, Acc.bannister: 0.3038, Acc.escalator: 0.2060, Acc.ottoman: 0.7764, Acc.bottle: 0.3442, Acc.buffet: 0.5408, Acc.poster: 0.3289, Acc.stage: 0.3166, Acc.van: 0.7090, Acc.ship: 0.1064, Acc.fountain: 0.2187, Acc.conveyer belt: 0.9401, Acc.canopy: 0.4618, Acc.washer: 0.7334, Acc.plaything: 0.3631, Acc.swimming pool: 0.3796, Acc.stool: 0.7015, Acc.barrel: 0.9716, Acc.basket: 0.4947, Acc.waterfall: 0.8978, Acc.tent: 0.9818, Acc.bag: 0.2278, Acc.minibike: 0.9197, Acc.cradle: 0.9733, Acc.oven: 0.6856, Acc.ball: 0.6681, Acc.food: 0.6757, Acc.step: 0.2467, Acc.tank: 0.6628, Acc.trade name: 0.3110, Acc.microwave: 0.4637, Acc.pot: 0.5632, Acc.animal: 0.5671, Acc.bicycle: 0.7474, Acc.lake: 0.6359, Acc.dishwasher: 0.8422, Acc.screen: 0.8956, Acc.blanket: 0.3339, Acc.sculpture: 0.8676, Acc.hood: 0.7594, Acc.sconce: 0.6670, Acc.vase: 0.6748, Acc.traffic light: 0.6779, Acc.tray: 0.2650, Acc.ashcan: 0.6739, Acc.fan: 0.8475, Acc.pier: 0.4453, Acc.crt screen: 0.1352, Acc.plate: 0.7373, Acc.monitor: 0.1205, Acc.bulletin board: 0.7237, Acc.shower: 0.2194, Acc.radiator: 0.8248, Acc.glass: 0.2311, Acc.clock: 0.6889, Acc.flag: 0.3849 2023-11-12 19:32:59,266 - mmseg - INFO - Iter [150050/160000] lr: 6.219e-06, eta: 1:22:44, time: 0.923, data_time: 0.406, memory: 41146, decode.loss_cls: 0.1347, decode.loss_mask: 0.4066, decode.loss_dice: 0.6317, decode.d0.loss_cls: 1.0887, decode.d0.loss_mask: 0.4344, decode.d0.loss_dice: 0.6825, decode.d1.loss_cls: 0.1943, decode.d1.loss_mask: 0.4173, decode.d1.loss_dice: 0.6591, decode.d2.loss_cls: 0.1674, decode.d2.loss_mask: 0.4117, decode.d2.loss_dice: 0.6435, decode.d3.loss_cls: 0.1554, decode.d3.loss_mask: 0.4078, decode.d3.loss_dice: 0.6343, decode.d4.loss_cls: 0.1466, decode.d4.loss_mask: 0.4070, decode.d4.loss_dice: 0.6337, decode.d5.loss_cls: 0.1420, decode.d5.loss_mask: 0.4082, decode.d5.loss_dice: 0.6343, decode.d6.loss_cls: 0.1413, decode.d6.loss_mask: 0.4078, decode.d6.loss_dice: 0.6335, decode.d7.loss_cls: 0.1384, decode.d7.loss_mask: 0.4078, decode.d7.loss_dice: 0.6335, decode.d8.loss_cls: 0.1386, decode.d8.loss_mask: 0.4069, decode.d8.loss_dice: 0.6322, loss: 12.9813, grad_norm: 43.6551 2023-11-12 19:33:23,713 - mmseg - INFO - Iter [150100/160000] lr: 6.188e-06, eta: 1:22:19, time: 0.491, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1266, decode.loss_mask: 0.3968, decode.loss_dice: 0.6093, decode.d0.loss_cls: 1.0830, decode.d0.loss_mask: 0.4271, decode.d0.loss_dice: 0.6584, decode.d1.loss_cls: 0.1831, decode.d1.loss_mask: 0.4110, decode.d1.loss_dice: 0.6365, decode.d2.loss_cls: 0.1572, decode.d2.loss_mask: 0.4034, decode.d2.loss_dice: 0.6216, decode.d3.loss_cls: 0.1396, decode.d3.loss_mask: 0.4005, decode.d3.loss_dice: 0.6168, decode.d4.loss_cls: 0.1341, decode.d4.loss_mask: 0.4005, decode.d4.loss_dice: 0.6152, decode.d5.loss_cls: 0.1343, decode.d5.loss_mask: 0.3982, decode.d5.loss_dice: 0.6102, decode.d6.loss_cls: 0.1290, decode.d6.loss_mask: 0.3980, decode.d6.loss_dice: 0.6136, decode.d7.loss_cls: 0.1262, decode.d7.loss_mask: 0.3971, decode.d7.loss_dice: 0.6119, decode.d8.loss_cls: 0.1271, decode.d8.loss_mask: 0.3968, decode.d8.loss_dice: 0.6103, loss: 12.5735, grad_norm: 45.3607 2023-11-12 19:33:50,261 - mmseg - INFO - Iter [150150/160000] lr: 6.157e-06, eta: 1:21:54, time: 0.531, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1242, decode.loss_mask: 0.3917, decode.loss_dice: 0.5986, decode.d0.loss_cls: 1.0625, decode.d0.loss_mask: 0.4188, decode.d0.loss_dice: 0.6416, decode.d1.loss_cls: 0.1792, decode.d1.loss_mask: 0.4027, decode.d1.loss_dice: 0.6203, decode.d2.loss_cls: 0.1549, decode.d2.loss_mask: 0.3968, decode.d2.loss_dice: 0.6138, decode.d3.loss_cls: 0.1343, decode.d3.loss_mask: 0.3946, decode.d3.loss_dice: 0.6020, decode.d4.loss_cls: 0.1322, decode.d4.loss_mask: 0.3932, decode.d4.loss_dice: 0.6000, decode.d5.loss_cls: 0.1283, decode.d5.loss_mask: 0.3930, decode.d5.loss_dice: 0.6031, decode.d6.loss_cls: 0.1301, decode.d6.loss_mask: 0.3932, decode.d6.loss_dice: 0.5988, decode.d7.loss_cls: 0.1280, decode.d7.loss_mask: 0.3919, decode.d7.loss_dice: 0.5994, decode.d8.loss_cls: 0.1248, decode.d8.loss_mask: 0.3915, decode.d8.loss_dice: 0.5996, loss: 12.3430, grad_norm: 41.7840 2023-11-12 19:34:14,557 - mmseg - INFO - Iter [150200/160000] lr: 6.126e-06, eta: 1:21:29, time: 0.486, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1324, decode.loss_mask: 0.3883, decode.loss_dice: 0.6002, decode.d0.loss_cls: 1.1110, decode.d0.loss_mask: 0.4182, decode.d0.loss_dice: 0.6483, decode.d1.loss_cls: 0.1947, decode.d1.loss_mask: 0.4000, decode.d1.loss_dice: 0.6269, decode.d2.loss_cls: 0.1625, decode.d2.loss_mask: 0.3972, decode.d2.loss_dice: 0.6160, decode.d3.loss_cls: 0.1450, decode.d3.loss_mask: 0.3922, decode.d3.loss_dice: 0.6016, decode.d4.loss_cls: 0.1469, decode.d4.loss_mask: 0.3906, decode.d4.loss_dice: 0.6052, decode.d5.loss_cls: 0.1357, decode.d5.loss_mask: 0.3912, decode.d5.loss_dice: 0.6064, decode.d6.loss_cls: 0.1349, decode.d6.loss_mask: 0.3894, decode.d6.loss_dice: 0.6014, decode.d7.loss_cls: 0.1331, decode.d7.loss_mask: 0.3885, decode.d7.loss_dice: 0.6013, decode.d8.loss_cls: 0.1306, decode.d8.loss_mask: 0.3885, decode.d8.loss_dice: 0.6024, loss: 12.4806, grad_norm: 46.6421 2023-11-12 19:34:41,401 - mmseg - INFO - Iter [150250/160000] lr: 6.094e-06, eta: 1:21:04, time: 0.537, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1244, decode.loss_mask: 0.3932, decode.loss_dice: 0.6029, decode.d0.loss_cls: 1.0805, decode.d0.loss_mask: 0.4235, decode.d0.loss_dice: 0.6485, decode.d1.loss_cls: 0.1744, decode.d1.loss_mask: 0.4055, decode.d1.loss_dice: 0.6311, decode.d2.loss_cls: 0.1496, decode.d2.loss_mask: 0.4001, decode.d2.loss_dice: 0.6162, decode.d3.loss_cls: 0.1396, decode.d3.loss_mask: 0.3972, decode.d3.loss_dice: 0.6106, decode.d4.loss_cls: 0.1326, decode.d4.loss_mask: 0.3944, decode.d4.loss_dice: 0.6071, decode.d5.loss_cls: 0.1332, decode.d5.loss_mask: 0.3969, decode.d5.loss_dice: 0.6073, decode.d6.loss_cls: 0.1288, decode.d6.loss_mask: 0.3953, decode.d6.loss_dice: 0.6037, decode.d7.loss_cls: 0.1218, decode.d7.loss_mask: 0.3947, decode.d7.loss_dice: 0.6035, decode.d8.loss_cls: 0.1211, decode.d8.loss_mask: 0.3948, decode.d8.loss_dice: 0.6021, loss: 12.4345, grad_norm: 44.2887 2023-11-12 19:35:07,376 - mmseg - INFO - Iter [150300/160000] lr: 6.063e-06, eta: 1:20:39, time: 0.520, data_time: 0.057, memory: 41146, decode.loss_cls: 0.1291, decode.loss_mask: 0.4054, decode.loss_dice: 0.6143, decode.d0.loss_cls: 1.0808, decode.d0.loss_mask: 0.4340, decode.d0.loss_dice: 0.6644, decode.d1.loss_cls: 0.1921, decode.d1.loss_mask: 0.4149, decode.d1.loss_dice: 0.6371, decode.d2.loss_cls: 0.1647, decode.d2.loss_mask: 0.4087, decode.d2.loss_dice: 0.6256, decode.d3.loss_cls: 0.1491, decode.d3.loss_mask: 0.4074, decode.d3.loss_dice: 0.6212, decode.d4.loss_cls: 0.1442, decode.d4.loss_mask: 0.4056, decode.d4.loss_dice: 0.6206, decode.d5.loss_cls: 0.1386, decode.d5.loss_mask: 0.4057, decode.d5.loss_dice: 0.6189, decode.d6.loss_cls: 0.1361, decode.d6.loss_mask: 0.4050, decode.d6.loss_dice: 0.6147, decode.d7.loss_cls: 0.1343, decode.d7.loss_mask: 0.4053, decode.d7.loss_dice: 0.6130, decode.d8.loss_cls: 0.1320, decode.d8.loss_mask: 0.4052, decode.d8.loss_dice: 0.6117, loss: 12.7398, grad_norm: 50.8639 2023-11-12 19:35:31,270 - mmseg - INFO - Iter [150350/160000] lr: 6.032e-06, eta: 1:20:14, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1340, decode.loss_mask: 0.3928, decode.loss_dice: 0.6078, decode.d0.loss_cls: 1.0767, decode.d0.loss_mask: 0.4197, decode.d0.loss_dice: 0.6540, decode.d1.loss_cls: 0.1945, decode.d1.loss_mask: 0.4039, decode.d1.loss_dice: 0.6273, decode.d2.loss_cls: 0.1556, decode.d2.loss_mask: 0.3975, decode.d2.loss_dice: 0.6156, decode.d3.loss_cls: 0.1480, decode.d3.loss_mask: 0.3950, decode.d3.loss_dice: 0.6089, decode.d4.loss_cls: 0.1387, decode.d4.loss_mask: 0.3944, decode.d4.loss_dice: 0.6089, decode.d5.loss_cls: 0.1395, decode.d5.loss_mask: 0.3935, decode.d5.loss_dice: 0.6043, decode.d6.loss_cls: 0.1339, decode.d6.loss_mask: 0.3939, decode.d6.loss_dice: 0.6059, decode.d7.loss_cls: 0.1327, decode.d7.loss_mask: 0.3945, decode.d7.loss_dice: 0.6040, decode.d8.loss_cls: 0.1339, decode.d8.loss_mask: 0.3938, decode.d8.loss_dice: 0.6032, loss: 12.5064, grad_norm: 47.9316 2023-11-12 19:35:57,193 - mmseg - INFO - Iter [150400/160000] lr: 6.001e-06, eta: 1:19:49, time: 0.518, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1262, decode.loss_mask: 0.3841, decode.loss_dice: 0.6043, decode.d0.loss_cls: 1.0913, decode.d0.loss_mask: 0.4146, decode.d0.loss_dice: 0.6574, decode.d1.loss_cls: 0.1777, decode.d1.loss_mask: 0.3942, decode.d1.loss_dice: 0.6306, decode.d2.loss_cls: 0.1562, decode.d2.loss_mask: 0.3885, decode.d2.loss_dice: 0.6176, decode.d3.loss_cls: 0.1442, decode.d3.loss_mask: 0.3881, decode.d3.loss_dice: 0.6086, decode.d4.loss_cls: 0.1404, decode.d4.loss_mask: 0.3864, decode.d4.loss_dice: 0.6053, decode.d5.loss_cls: 0.1350, decode.d5.loss_mask: 0.3858, decode.d5.loss_dice: 0.6077, decode.d6.loss_cls: 0.1350, decode.d6.loss_mask: 0.3854, decode.d6.loss_dice: 0.6029, decode.d7.loss_cls: 0.1319, decode.d7.loss_mask: 0.3846, decode.d7.loss_dice: 0.6067, decode.d8.loss_cls: 0.1303, decode.d8.loss_mask: 0.3849, decode.d8.loss_dice: 0.6036, loss: 12.4093, grad_norm: 43.6194 2023-11-12 19:36:21,268 - mmseg - INFO - Iter [150450/160000] lr: 5.969e-06, eta: 1:19:24, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1403, decode.loss_mask: 0.3939, decode.loss_dice: 0.6125, decode.d0.loss_cls: 1.1032, decode.d0.loss_mask: 0.4218, decode.d0.loss_dice: 0.6700, decode.d1.loss_cls: 0.2013, decode.d1.loss_mask: 0.4046, decode.d1.loss_dice: 0.6432, decode.d2.loss_cls: 0.1706, decode.d2.loss_mask: 0.3984, decode.d2.loss_dice: 0.6310, decode.d3.loss_cls: 0.1614, decode.d3.loss_mask: 0.3958, decode.d3.loss_dice: 0.6182, decode.d4.loss_cls: 0.1505, decode.d4.loss_mask: 0.3965, decode.d4.loss_dice: 0.6216, decode.d5.loss_cls: 0.1492, decode.d5.loss_mask: 0.3955, decode.d5.loss_dice: 0.6160, decode.d6.loss_cls: 0.1464, decode.d6.loss_mask: 0.3945, decode.d6.loss_dice: 0.6150, decode.d7.loss_cls: 0.1421, decode.d7.loss_mask: 0.3949, decode.d7.loss_dice: 0.6176, decode.d8.loss_cls: 0.1378, decode.d8.loss_mask: 0.3946, decode.d8.loss_dice: 0.6160, loss: 12.7542, grad_norm: 42.3033 2023-11-12 19:36:45,585 - mmseg - INFO - Iter [150500/160000] lr: 5.938e-06, eta: 1:18:59, time: 0.486, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1344, decode.loss_mask: 0.3936, decode.loss_dice: 0.6105, decode.d0.loss_cls: 1.0906, decode.d0.loss_mask: 0.4192, decode.d0.loss_dice: 0.6646, decode.d1.loss_cls: 0.1904, decode.d1.loss_mask: 0.4015, decode.d1.loss_dice: 0.6319, decode.d2.loss_cls: 0.1552, decode.d2.loss_mask: 0.4000, decode.d2.loss_dice: 0.6259, decode.d3.loss_cls: 0.1484, decode.d3.loss_mask: 0.3968, decode.d3.loss_dice: 0.6144, decode.d4.loss_cls: 0.1422, decode.d4.loss_mask: 0.3956, decode.d4.loss_dice: 0.6138, decode.d5.loss_cls: 0.1358, decode.d5.loss_mask: 0.3949, decode.d5.loss_dice: 0.6145, decode.d6.loss_cls: 0.1343, decode.d6.loss_mask: 0.3941, decode.d6.loss_dice: 0.6085, decode.d7.loss_cls: 0.1356, decode.d7.loss_mask: 0.3939, decode.d7.loss_dice: 0.6057, decode.d8.loss_cls: 0.1330, decode.d8.loss_mask: 0.3944, decode.d8.loss_dice: 0.6086, loss: 12.5821, grad_norm: 43.9678 2023-11-12 19:37:09,739 - mmseg - INFO - Iter [150550/160000] lr: 5.907e-06, eta: 1:18:34, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1283, decode.loss_mask: 0.4053, decode.loss_dice: 0.5997, decode.d0.loss_cls: 1.0632, decode.d0.loss_mask: 0.4365, decode.d0.loss_dice: 0.6511, decode.d1.loss_cls: 0.1816, decode.d1.loss_mask: 0.4165, decode.d1.loss_dice: 0.6234, decode.d2.loss_cls: 0.1578, decode.d2.loss_mask: 0.4101, decode.d2.loss_dice: 0.6152, decode.d3.loss_cls: 0.1440, decode.d3.loss_mask: 0.4055, decode.d3.loss_dice: 0.6048, decode.d4.loss_cls: 0.1390, decode.d4.loss_mask: 0.4040, decode.d4.loss_dice: 0.6009, decode.d5.loss_cls: 0.1359, decode.d5.loss_mask: 0.4058, decode.d5.loss_dice: 0.6056, decode.d6.loss_cls: 0.1327, decode.d6.loss_mask: 0.4045, decode.d6.loss_dice: 0.6052, decode.d7.loss_cls: 0.1312, decode.d7.loss_mask: 0.4044, decode.d7.loss_dice: 0.6038, decode.d8.loss_cls: 0.1267, decode.d8.loss_mask: 0.4055, decode.d8.loss_dice: 0.6031, loss: 12.5513, grad_norm: 44.2111 2023-11-12 19:37:37,736 - mmseg - INFO - Iter [150600/160000] lr: 5.876e-06, eta: 1:18:09, time: 0.560, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1342, decode.loss_mask: 0.4059, decode.loss_dice: 0.6154, decode.d0.loss_cls: 1.0860, decode.d0.loss_mask: 0.4324, decode.d0.loss_dice: 0.6643, decode.d1.loss_cls: 0.1937, decode.d1.loss_mask: 0.4155, decode.d1.loss_dice: 0.6361, decode.d2.loss_cls: 0.1608, decode.d2.loss_mask: 0.4116, decode.d2.loss_dice: 0.6260, decode.d3.loss_cls: 0.1483, decode.d3.loss_mask: 0.4072, decode.d3.loss_dice: 0.6182, decode.d4.loss_cls: 0.1468, decode.d4.loss_mask: 0.4071, decode.d4.loss_dice: 0.6185, decode.d5.loss_cls: 0.1381, decode.d5.loss_mask: 0.4080, decode.d5.loss_dice: 0.6189, decode.d6.loss_cls: 0.1398, decode.d6.loss_mask: 0.4064, decode.d6.loss_dice: 0.6160, decode.d7.loss_cls: 0.1376, decode.d7.loss_mask: 0.4069, decode.d7.loss_dice: 0.6180, decode.d8.loss_cls: 0.1368, decode.d8.loss_mask: 0.4061, decode.d8.loss_dice: 0.6147, loss: 12.7753, grad_norm: 48.4181 2023-11-12 19:38:01,954 - mmseg - INFO - Iter [150650/160000] lr: 5.844e-06, eta: 1:17:44, time: 0.484, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1393, decode.loss_mask: 0.4039, decode.loss_dice: 0.6247, decode.d0.loss_cls: 1.1003, decode.d0.loss_mask: 0.4338, decode.d0.loss_dice: 0.6768, decode.d1.loss_cls: 0.2070, decode.d1.loss_mask: 0.4152, decode.d1.loss_dice: 0.6471, decode.d2.loss_cls: 0.1741, decode.d2.loss_mask: 0.4101, decode.d2.loss_dice: 0.6363, decode.d3.loss_cls: 0.1596, decode.d3.loss_mask: 0.4062, decode.d3.loss_dice: 0.6253, decode.d4.loss_cls: 0.1573, decode.d4.loss_mask: 0.4044, decode.d4.loss_dice: 0.6236, decode.d5.loss_cls: 0.1458, decode.d5.loss_mask: 0.4048, decode.d5.loss_dice: 0.6256, decode.d6.loss_cls: 0.1447, decode.d6.loss_mask: 0.4057, decode.d6.loss_dice: 0.6265, decode.d7.loss_cls: 0.1423, decode.d7.loss_mask: 0.4048, decode.d7.loss_dice: 0.6234, decode.d8.loss_cls: 0.1381, decode.d8.loss_mask: 0.4039, decode.d8.loss_dice: 0.6214, loss: 12.9320, grad_norm: 44.8883 2023-11-12 19:38:26,139 - mmseg - INFO - Iter [150700/160000] lr: 5.813e-06, eta: 1:17:19, time: 0.484, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1410, decode.loss_mask: 0.3858, decode.loss_dice: 0.6038, decode.d0.loss_cls: 1.0789, decode.d0.loss_mask: 0.4202, decode.d0.loss_dice: 0.6674, decode.d1.loss_cls: 0.1956, decode.d1.loss_mask: 0.4011, decode.d1.loss_dice: 0.6386, decode.d2.loss_cls: 0.1684, decode.d2.loss_mask: 0.3941, decode.d2.loss_dice: 0.6210, decode.d3.loss_cls: 0.1563, decode.d3.loss_mask: 0.3912, decode.d3.loss_dice: 0.6126, decode.d4.loss_cls: 0.1481, decode.d4.loss_mask: 0.3896, decode.d4.loss_dice: 0.6148, decode.d5.loss_cls: 0.1487, decode.d5.loss_mask: 0.3875, decode.d5.loss_dice: 0.6097, decode.d6.loss_cls: 0.1436, decode.d6.loss_mask: 0.3871, decode.d6.loss_dice: 0.6070, decode.d7.loss_cls: 0.1434, decode.d7.loss_mask: 0.3870, decode.d7.loss_dice: 0.6060, decode.d8.loss_cls: 0.1431, decode.d8.loss_mask: 0.3871, decode.d8.loss_dice: 0.6077, loss: 12.5863, grad_norm: 46.0467 2023-11-12 19:38:49,876 - mmseg - INFO - Iter [150750/160000] lr: 5.782e-06, eta: 1:16:54, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1430, decode.loss_mask: 0.3981, decode.loss_dice: 0.6194, decode.d0.loss_cls: 1.0931, decode.d0.loss_mask: 0.4302, decode.d0.loss_dice: 0.6817, decode.d1.loss_cls: 0.2107, decode.d1.loss_mask: 0.4091, decode.d1.loss_dice: 0.6462, decode.d2.loss_cls: 0.1761, decode.d2.loss_mask: 0.4027, decode.d2.loss_dice: 0.6333, decode.d3.loss_cls: 0.1599, decode.d3.loss_mask: 0.3999, decode.d3.loss_dice: 0.6216, decode.d4.loss_cls: 0.1507, decode.d4.loss_mask: 0.3988, decode.d4.loss_dice: 0.6234, decode.d5.loss_cls: 0.1502, decode.d5.loss_mask: 0.3983, decode.d5.loss_dice: 0.6237, decode.d6.loss_cls: 0.1479, decode.d6.loss_mask: 0.3983, decode.d6.loss_dice: 0.6183, decode.d7.loss_cls: 0.1465, decode.d7.loss_mask: 0.3982, decode.d7.loss_dice: 0.6193, decode.d8.loss_cls: 0.1458, decode.d8.loss_mask: 0.3982, decode.d8.loss_dice: 0.6206, loss: 12.8631, grad_norm: 43.0151 2023-11-12 19:39:13,404 - mmseg - INFO - Iter [150800/160000] lr: 5.751e-06, eta: 1:16:29, time: 0.471, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1492, decode.loss_mask: 0.4163, decode.loss_dice: 0.6166, decode.d0.loss_cls: 1.0815, decode.d0.loss_mask: 0.4487, decode.d0.loss_dice: 0.6681, decode.d1.loss_cls: 0.1972, decode.d1.loss_mask: 0.4311, decode.d1.loss_dice: 0.6437, decode.d2.loss_cls: 0.1743, decode.d2.loss_mask: 0.4245, decode.d2.loss_dice: 0.6315, decode.d3.loss_cls: 0.1655, decode.d3.loss_mask: 0.4201, decode.d3.loss_dice: 0.6230, decode.d4.loss_cls: 0.1566, decode.d4.loss_mask: 0.4197, decode.d4.loss_dice: 0.6214, decode.d5.loss_cls: 0.1551, decode.d5.loss_mask: 0.4189, decode.d5.loss_dice: 0.6194, decode.d6.loss_cls: 0.1502, decode.d6.loss_mask: 0.4175, decode.d6.loss_dice: 0.6174, decode.d7.loss_cls: 0.1504, decode.d7.loss_mask: 0.4174, decode.d7.loss_dice: 0.6169, decode.d8.loss_cls: 0.1445, decode.d8.loss_mask: 0.4175, decode.d8.loss_dice: 0.6173, loss: 13.0314, grad_norm: 52.0730 2023-11-12 19:39:37,099 - mmseg - INFO - Iter [150850/160000] lr: 5.719e-06, eta: 1:16:04, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1361, decode.loss_mask: 0.3923, decode.loss_dice: 0.6145, decode.d0.loss_cls: 1.0958, decode.d0.loss_mask: 0.4216, decode.d0.loss_dice: 0.6691, decode.d1.loss_cls: 0.1902, decode.d1.loss_mask: 0.4034, decode.d1.loss_dice: 0.6400, decode.d2.loss_cls: 0.1599, decode.d2.loss_mask: 0.4000, decode.d2.loss_dice: 0.6294, decode.d3.loss_cls: 0.1509, decode.d3.loss_mask: 0.3971, decode.d3.loss_dice: 0.6182, decode.d4.loss_cls: 0.1480, decode.d4.loss_mask: 0.3952, decode.d4.loss_dice: 0.6174, decode.d5.loss_cls: 0.1463, decode.d5.loss_mask: 0.3932, decode.d5.loss_dice: 0.6162, decode.d6.loss_cls: 0.1414, decode.d6.loss_mask: 0.3941, decode.d6.loss_dice: 0.6153, decode.d7.loss_cls: 0.1423, decode.d7.loss_mask: 0.3926, decode.d7.loss_dice: 0.6178, decode.d8.loss_cls: 0.1386, decode.d8.loss_mask: 0.3920, decode.d8.loss_dice: 0.6151, loss: 12.6840, grad_norm: 44.3623 2023-11-12 19:40:01,184 - mmseg - INFO - Iter [150900/160000] lr: 5.688e-06, eta: 1:15:39, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1200, decode.loss_mask: 0.3814, decode.loss_dice: 0.5979, decode.d0.loss_cls: 1.0519, decode.d0.loss_mask: 0.4114, decode.d0.loss_dice: 0.6437, decode.d1.loss_cls: 0.1817, decode.d1.loss_mask: 0.3907, decode.d1.loss_dice: 0.6179, decode.d2.loss_cls: 0.1491, decode.d2.loss_mask: 0.3857, decode.d2.loss_dice: 0.6080, decode.d3.loss_cls: 0.1388, decode.d3.loss_mask: 0.3831, decode.d3.loss_dice: 0.5989, decode.d4.loss_cls: 0.1305, decode.d4.loss_mask: 0.3823, decode.d4.loss_dice: 0.6009, decode.d5.loss_cls: 0.1251, decode.d5.loss_mask: 0.3819, decode.d5.loss_dice: 0.5967, decode.d6.loss_cls: 0.1217, decode.d6.loss_mask: 0.3818, decode.d6.loss_dice: 0.5964, decode.d7.loss_cls: 0.1209, decode.d7.loss_mask: 0.3819, decode.d7.loss_dice: 0.5969, decode.d8.loss_cls: 0.1180, decode.d8.loss_mask: 0.3817, decode.d8.loss_dice: 0.5951, loss: 12.1718, grad_norm: 44.1604 2023-11-12 19:40:24,982 - mmseg - INFO - Iter [150950/160000] lr: 5.657e-06, eta: 1:15:14, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1208, decode.loss_mask: 0.4224, decode.loss_dice: 0.6045, decode.d0.loss_cls: 1.0626, decode.d0.loss_mask: 0.4482, decode.d0.loss_dice: 0.6498, decode.d1.loss_cls: 0.1783, decode.d1.loss_mask: 0.4308, decode.d1.loss_dice: 0.6254, decode.d2.loss_cls: 0.1476, decode.d2.loss_mask: 0.4259, decode.d2.loss_dice: 0.6188, decode.d3.loss_cls: 0.1330, decode.d3.loss_mask: 0.4254, decode.d3.loss_dice: 0.6100, decode.d4.loss_cls: 0.1262, decode.d4.loss_mask: 0.4229, decode.d4.loss_dice: 0.6040, decode.d5.loss_cls: 0.1244, decode.d5.loss_mask: 0.4238, decode.d5.loss_dice: 0.6052, decode.d6.loss_cls: 0.1232, decode.d6.loss_mask: 0.4237, decode.d6.loss_dice: 0.6038, decode.d7.loss_cls: 0.1231, decode.d7.loss_mask: 0.4220, decode.d7.loss_dice: 0.6020, decode.d8.loss_cls: 0.1211, decode.d8.loss_mask: 0.4217, decode.d8.loss_dice: 0.6012, loss: 12.6518, grad_norm: 47.8767 2023-11-12 19:40:48,676 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 19:40:48,676 - mmseg - INFO - Iter [151000/160000] lr: 5.626e-06, eta: 1:14:49, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1349, decode.loss_mask: 0.3945, decode.loss_dice: 0.6130, decode.d0.loss_cls: 1.0933, decode.d0.loss_mask: 0.4253, decode.d0.loss_dice: 0.6718, decode.d1.loss_cls: 0.2010, decode.d1.loss_mask: 0.4059, decode.d1.loss_dice: 0.6443, decode.d2.loss_cls: 0.1667, decode.d2.loss_mask: 0.3988, decode.d2.loss_dice: 0.6264, decode.d3.loss_cls: 0.1530, decode.d3.loss_mask: 0.3961, decode.d3.loss_dice: 0.6206, decode.d4.loss_cls: 0.1447, decode.d4.loss_mask: 0.3960, decode.d4.loss_dice: 0.6168, decode.d5.loss_cls: 0.1428, decode.d5.loss_mask: 0.3950, decode.d5.loss_dice: 0.6160, decode.d6.loss_cls: 0.1423, decode.d6.loss_mask: 0.3950, decode.d6.loss_dice: 0.6127, decode.d7.loss_cls: 0.1396, decode.d7.loss_mask: 0.3946, decode.d7.loss_dice: 0.6142, decode.d8.loss_cls: 0.1323, decode.d8.loss_mask: 0.3947, decode.d8.loss_dice: 0.6132, loss: 12.6953, grad_norm: 41.2227 2023-11-12 19:41:12,492 - mmseg - INFO - Iter [151050/160000] lr: 5.594e-06, eta: 1:14:24, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1303, decode.loss_mask: 0.3937, decode.loss_dice: 0.6170, decode.d0.loss_cls: 1.0830, decode.d0.loss_mask: 0.4240, decode.d0.loss_dice: 0.6731, decode.d1.loss_cls: 0.1897, decode.d1.loss_mask: 0.4034, decode.d1.loss_dice: 0.6447, decode.d2.loss_cls: 0.1584, decode.d2.loss_mask: 0.3986, decode.d2.loss_dice: 0.6309, decode.d3.loss_cls: 0.1468, decode.d3.loss_mask: 0.3966, decode.d3.loss_dice: 0.6228, decode.d4.loss_cls: 0.1400, decode.d4.loss_mask: 0.3961, decode.d4.loss_dice: 0.6264, decode.d5.loss_cls: 0.1329, decode.d5.loss_mask: 0.3952, decode.d5.loss_dice: 0.6204, decode.d6.loss_cls: 0.1384, decode.d6.loss_mask: 0.3941, decode.d6.loss_dice: 0.6181, decode.d7.loss_cls: 0.1341, decode.d7.loss_mask: 0.3944, decode.d7.loss_dice: 0.6217, decode.d8.loss_cls: 0.1298, decode.d8.loss_mask: 0.3941, decode.d8.loss_dice: 0.6162, loss: 12.6648, grad_norm: 46.1937 2023-11-12 19:41:36,085 - mmseg - INFO - Iter [151100/160000] lr: 5.563e-06, eta: 1:13:59, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1439, decode.loss_mask: 0.4024, decode.loss_dice: 0.6297, decode.d0.loss_cls: 1.1012, decode.d0.loss_mask: 0.4323, decode.d0.loss_dice: 0.6849, decode.d1.loss_cls: 0.2038, decode.d1.loss_mask: 0.4139, decode.d1.loss_dice: 0.6553, decode.d2.loss_cls: 0.1690, decode.d2.loss_mask: 0.4079, decode.d2.loss_dice: 0.6408, decode.d3.loss_cls: 0.1590, decode.d3.loss_mask: 0.4056, decode.d3.loss_dice: 0.6304, decode.d4.loss_cls: 0.1521, decode.d4.loss_mask: 0.4036, decode.d4.loss_dice: 0.6340, decode.d5.loss_cls: 0.1489, decode.d5.loss_mask: 0.4036, decode.d5.loss_dice: 0.6333, decode.d6.loss_cls: 0.1436, decode.d6.loss_mask: 0.4012, decode.d6.loss_dice: 0.6313, decode.d7.loss_cls: 0.1465, decode.d7.loss_mask: 0.4018, decode.d7.loss_dice: 0.6310, decode.d8.loss_cls: 0.1409, decode.d8.loss_mask: 0.4015, decode.d8.loss_dice: 0.6304, loss: 12.9836, grad_norm: 43.3763 2023-11-12 19:41:59,781 - mmseg - INFO - Iter [151150/160000] lr: 5.532e-06, eta: 1:13:34, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1296, decode.loss_mask: 0.3908, decode.loss_dice: 0.5911, decode.d0.loss_cls: 1.0823, decode.d0.loss_mask: 0.4206, decode.d0.loss_dice: 0.6417, decode.d1.loss_cls: 0.1841, decode.d1.loss_mask: 0.4028, decode.d1.loss_dice: 0.6129, decode.d2.loss_cls: 0.1602, decode.d2.loss_mask: 0.3954, decode.d2.loss_dice: 0.5979, decode.d3.loss_cls: 0.1478, decode.d3.loss_mask: 0.3941, decode.d3.loss_dice: 0.5913, decode.d4.loss_cls: 0.1417, decode.d4.loss_mask: 0.3921, decode.d4.loss_dice: 0.5935, decode.d5.loss_cls: 0.1371, decode.d5.loss_mask: 0.3925, decode.d5.loss_dice: 0.5927, decode.d6.loss_cls: 0.1360, decode.d6.loss_mask: 0.3924, decode.d6.loss_dice: 0.5908, decode.d7.loss_cls: 0.1367, decode.d7.loss_mask: 0.3911, decode.d7.loss_dice: 0.5911, decode.d8.loss_cls: 0.1314, decode.d8.loss_mask: 0.3919, decode.d8.loss_dice: 0.5929, loss: 12.3465, grad_norm: 47.0431 2023-11-12 19:42:23,488 - mmseg - INFO - Iter [151200/160000] lr: 5.501e-06, eta: 1:13:09, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1254, decode.loss_mask: 0.3897, decode.loss_dice: 0.6088, decode.d0.loss_cls: 1.0727, decode.d0.loss_mask: 0.4178, decode.d0.loss_dice: 0.6607, decode.d1.loss_cls: 0.1769, decode.d1.loss_mask: 0.3983, decode.d1.loss_dice: 0.6303, decode.d2.loss_cls: 0.1481, decode.d2.loss_mask: 0.3925, decode.d2.loss_dice: 0.6185, decode.d3.loss_cls: 0.1390, decode.d3.loss_mask: 0.3906, decode.d3.loss_dice: 0.6083, decode.d4.loss_cls: 0.1320, decode.d4.loss_mask: 0.3892, decode.d4.loss_dice: 0.6091, decode.d5.loss_cls: 0.1327, decode.d5.loss_mask: 0.3888, decode.d5.loss_dice: 0.6061, decode.d6.loss_cls: 0.1290, decode.d6.loss_mask: 0.3892, decode.d6.loss_dice: 0.6075, decode.d7.loss_cls: 0.1255, decode.d7.loss_mask: 0.3892, decode.d7.loss_dice: 0.6103, decode.d8.loss_cls: 0.1239, decode.d8.loss_mask: 0.3886, decode.d8.loss_dice: 0.6070, loss: 12.4058, grad_norm: 41.2077 2023-11-12 19:42:47,430 - mmseg - INFO - Iter [151250/160000] lr: 5.469e-06, eta: 1:12:44, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1333, decode.loss_mask: 0.4087, decode.loss_dice: 0.6238, decode.d0.loss_cls: 1.0840, decode.d0.loss_mask: 0.4393, decode.d0.loss_dice: 0.6780, decode.d1.loss_cls: 0.1864, decode.d1.loss_mask: 0.4192, decode.d1.loss_dice: 0.6526, decode.d2.loss_cls: 0.1560, decode.d2.loss_mask: 0.4138, decode.d2.loss_dice: 0.6378, decode.d3.loss_cls: 0.1456, decode.d3.loss_mask: 0.4107, decode.d3.loss_dice: 0.6276, decode.d4.loss_cls: 0.1374, decode.d4.loss_mask: 0.4088, decode.d4.loss_dice: 0.6270, decode.d5.loss_cls: 0.1429, decode.d5.loss_mask: 0.4086, decode.d5.loss_dice: 0.6238, decode.d6.loss_cls: 0.1303, decode.d6.loss_mask: 0.4083, decode.d6.loss_dice: 0.6235, decode.d7.loss_cls: 0.1324, decode.d7.loss_mask: 0.4084, decode.d7.loss_dice: 0.6264, decode.d8.loss_cls: 0.1297, decode.d8.loss_mask: 0.4083, decode.d8.loss_dice: 0.6280, loss: 12.8607, grad_norm: 42.5944 2023-11-12 19:43:11,226 - mmseg - INFO - Iter [151300/160000] lr: 5.438e-06, eta: 1:12:19, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1273, decode.loss_mask: 0.3836, decode.loss_dice: 0.5923, decode.d0.loss_cls: 1.0894, decode.d0.loss_mask: 0.4121, decode.d0.loss_dice: 0.6460, decode.d1.loss_cls: 0.1944, decode.d1.loss_mask: 0.3954, decode.d1.loss_dice: 0.6212, decode.d2.loss_cls: 0.1569, decode.d2.loss_mask: 0.3906, decode.d2.loss_dice: 0.6089, decode.d3.loss_cls: 0.1447, decode.d3.loss_mask: 0.3876, decode.d3.loss_dice: 0.6009, decode.d4.loss_cls: 0.1389, decode.d4.loss_mask: 0.3866, decode.d4.loss_dice: 0.6010, decode.d5.loss_cls: 0.1344, decode.d5.loss_mask: 0.3857, decode.d5.loss_dice: 0.6003, decode.d6.loss_cls: 0.1340, decode.d6.loss_mask: 0.3857, decode.d6.loss_dice: 0.5986, decode.d7.loss_cls: 0.1319, decode.d7.loss_mask: 0.3853, decode.d7.loss_dice: 0.5941, decode.d8.loss_cls: 0.1245, decode.d8.loss_mask: 0.3853, decode.d8.loss_dice: 0.5964, loss: 12.3339, grad_norm: 45.1983 2023-11-12 19:43:35,149 - mmseg - INFO - Iter [151350/160000] lr: 5.407e-06, eta: 1:11:54, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1181, decode.loss_mask: 0.4111, decode.loss_dice: 0.6028, decode.d0.loss_cls: 1.0582, decode.d0.loss_mask: 0.4433, decode.d0.loss_dice: 0.6488, decode.d1.loss_cls: 0.1736, decode.d1.loss_mask: 0.4209, decode.d1.loss_dice: 0.6249, decode.d2.loss_cls: 0.1444, decode.d2.loss_mask: 0.4172, decode.d2.loss_dice: 0.6108, decode.d3.loss_cls: 0.1369, decode.d3.loss_mask: 0.4144, decode.d3.loss_dice: 0.6076, decode.d4.loss_cls: 0.1271, decode.d4.loss_mask: 0.4129, decode.d4.loss_dice: 0.6041, decode.d5.loss_cls: 0.1214, decode.d5.loss_mask: 0.4126, decode.d5.loss_dice: 0.6034, decode.d6.loss_cls: 0.1209, decode.d6.loss_mask: 0.4110, decode.d6.loss_dice: 0.6018, decode.d7.loss_cls: 0.1170, decode.d7.loss_mask: 0.4110, decode.d7.loss_dice: 0.6017, decode.d8.loss_cls: 0.1170, decode.d8.loss_mask: 0.4111, decode.d8.loss_dice: 0.6052, loss: 12.5114, grad_norm: 44.0180 2023-11-12 19:43:59,017 - mmseg - INFO - Iter [151400/160000] lr: 5.376e-06, eta: 1:11:29, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1343, decode.loss_mask: 0.3873, decode.loss_dice: 0.6109, decode.d0.loss_cls: 1.1084, decode.d0.loss_mask: 0.4159, decode.d0.loss_dice: 0.6596, decode.d1.loss_cls: 0.1938, decode.d1.loss_mask: 0.3981, decode.d1.loss_dice: 0.6361, decode.d2.loss_cls: 0.1670, decode.d2.loss_mask: 0.3913, decode.d2.loss_dice: 0.6227, decode.d3.loss_cls: 0.1551, decode.d3.loss_mask: 0.3885, decode.d3.loss_dice: 0.6103, decode.d4.loss_cls: 0.1444, decode.d4.loss_mask: 0.3892, decode.d4.loss_dice: 0.6155, decode.d5.loss_cls: 0.1401, decode.d5.loss_mask: 0.3889, decode.d5.loss_dice: 0.6115, decode.d6.loss_cls: 0.1400, decode.d6.loss_mask: 0.3874, decode.d6.loss_dice: 0.6109, decode.d7.loss_cls: 0.1345, decode.d7.loss_mask: 0.3871, decode.d7.loss_dice: 0.6115, decode.d8.loss_cls: 0.1357, decode.d8.loss_mask: 0.3880, decode.d8.loss_dice: 0.6117, loss: 12.5758, grad_norm: 48.7449 2023-11-12 19:44:22,836 - mmseg - INFO - Iter [151450/160000] lr: 5.344e-06, eta: 1:11:04, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1423, decode.loss_mask: 0.3976, decode.loss_dice: 0.6228, decode.d0.loss_cls: 1.0847, decode.d0.loss_mask: 0.4265, decode.d0.loss_dice: 0.6789, decode.d1.loss_cls: 0.1991, decode.d1.loss_mask: 0.4076, decode.d1.loss_dice: 0.6451, decode.d2.loss_cls: 0.1740, decode.d2.loss_mask: 0.4031, decode.d2.loss_dice: 0.6331, decode.d3.loss_cls: 0.1589, decode.d3.loss_mask: 0.4008, decode.d3.loss_dice: 0.6299, decode.d4.loss_cls: 0.1495, decode.d4.loss_mask: 0.3991, decode.d4.loss_dice: 0.6255, decode.d5.loss_cls: 0.1469, decode.d5.loss_mask: 0.3991, decode.d5.loss_dice: 0.6281, decode.d6.loss_cls: 0.1448, decode.d6.loss_mask: 0.3982, decode.d6.loss_dice: 0.6255, decode.d7.loss_cls: 0.1444, decode.d7.loss_mask: 0.3970, decode.d7.loss_dice: 0.6240, decode.d8.loss_cls: 0.1442, decode.d8.loss_mask: 0.3985, decode.d8.loss_dice: 0.6272, loss: 12.8563, grad_norm: 45.1260 2023-11-12 19:44:46,555 - mmseg - INFO - Iter [151500/160000] lr: 5.313e-06, eta: 1:10:39, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1226, decode.loss_mask: 0.4001, decode.loss_dice: 0.6179, decode.d0.loss_cls: 1.0492, decode.d0.loss_mask: 0.4350, decode.d0.loss_dice: 0.6670, decode.d1.loss_cls: 0.1786, decode.d1.loss_mask: 0.4123, decode.d1.loss_dice: 0.6384, decode.d2.loss_cls: 0.1515, decode.d2.loss_mask: 0.4070, decode.d2.loss_dice: 0.6278, decode.d3.loss_cls: 0.1398, decode.d3.loss_mask: 0.4042, decode.d3.loss_dice: 0.6195, decode.d4.loss_cls: 0.1355, decode.d4.loss_mask: 0.4023, decode.d4.loss_dice: 0.6180, decode.d5.loss_cls: 0.1277, decode.d5.loss_mask: 0.4009, decode.d5.loss_dice: 0.6174, decode.d6.loss_cls: 0.1275, decode.d6.loss_mask: 0.4013, decode.d6.loss_dice: 0.6183, decode.d7.loss_cls: 0.1257, decode.d7.loss_mask: 0.4011, decode.d7.loss_dice: 0.6215, decode.d8.loss_cls: 0.1241, decode.d8.loss_mask: 0.4013, decode.d8.loss_dice: 0.6171, loss: 12.6104, grad_norm: 40.8247 2023-11-12 19:45:10,228 - mmseg - INFO - Iter [151550/160000] lr: 5.282e-06, eta: 1:10:14, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1319, decode.loss_mask: 0.3839, decode.loss_dice: 0.5860, decode.d0.loss_cls: 1.0773, decode.d0.loss_mask: 0.4077, decode.d0.loss_dice: 0.6333, decode.d1.loss_cls: 0.1800, decode.d1.loss_mask: 0.3904, decode.d1.loss_dice: 0.6100, decode.d2.loss_cls: 0.1579, decode.d2.loss_mask: 0.3867, decode.d2.loss_dice: 0.5989, decode.d3.loss_cls: 0.1457, decode.d3.loss_mask: 0.3833, decode.d3.loss_dice: 0.5872, decode.d4.loss_cls: 0.1430, decode.d4.loss_mask: 0.3830, decode.d4.loss_dice: 0.5924, decode.d5.loss_cls: 0.1358, decode.d5.loss_mask: 0.3830, decode.d5.loss_dice: 0.5883, decode.d6.loss_cls: 0.1321, decode.d6.loss_mask: 0.3832, decode.d6.loss_dice: 0.5892, decode.d7.loss_cls: 0.1360, decode.d7.loss_mask: 0.3827, decode.d7.loss_dice: 0.5892, decode.d8.loss_cls: 0.1302, decode.d8.loss_mask: 0.3837, decode.d8.loss_dice: 0.5903, loss: 12.2024, grad_norm: 41.3338 2023-11-12 19:45:36,363 - mmseg - INFO - Iter [151600/160000] lr: 5.251e-06, eta: 1:09:49, time: 0.523, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1244, decode.loss_mask: 0.3930, decode.loss_dice: 0.6017, decode.d0.loss_cls: 1.0730, decode.d0.loss_mask: 0.4219, decode.d0.loss_dice: 0.6438, decode.d1.loss_cls: 0.1760, decode.d1.loss_mask: 0.4057, decode.d1.loss_dice: 0.6228, decode.d2.loss_cls: 0.1508, decode.d2.loss_mask: 0.3993, decode.d2.loss_dice: 0.6167, decode.d3.loss_cls: 0.1421, decode.d3.loss_mask: 0.3965, decode.d3.loss_dice: 0.6034, decode.d4.loss_cls: 0.1356, decode.d4.loss_mask: 0.3957, decode.d4.loss_dice: 0.6050, decode.d5.loss_cls: 0.1314, decode.d5.loss_mask: 0.3948, decode.d5.loss_dice: 0.6042, decode.d6.loss_cls: 0.1298, decode.d6.loss_mask: 0.3948, decode.d6.loss_dice: 0.6043, decode.d7.loss_cls: 0.1272, decode.d7.loss_mask: 0.3944, decode.d7.loss_dice: 0.6008, decode.d8.loss_cls: 0.1277, decode.d8.loss_mask: 0.3937, decode.d8.loss_dice: 0.6018, loss: 12.4124, grad_norm: 41.4825 2023-11-12 19:46:00,182 - mmseg - INFO - Iter [151650/160000] lr: 5.219e-06, eta: 1:09:24, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1328, decode.loss_mask: 0.3925, decode.loss_dice: 0.6080, decode.d0.loss_cls: 1.1033, decode.d0.loss_mask: 0.4224, decode.d0.loss_dice: 0.6653, decode.d1.loss_cls: 0.2001, decode.d1.loss_mask: 0.4032, decode.d1.loss_dice: 0.6366, decode.d2.loss_cls: 0.1685, decode.d2.loss_mask: 0.3954, decode.d2.loss_dice: 0.6240, decode.d3.loss_cls: 0.1564, decode.d3.loss_mask: 0.3926, decode.d3.loss_dice: 0.6109, decode.d4.loss_cls: 0.1463, decode.d4.loss_mask: 0.3937, decode.d4.loss_dice: 0.6146, decode.d5.loss_cls: 0.1445, decode.d5.loss_mask: 0.3933, decode.d5.loss_dice: 0.6109, decode.d6.loss_cls: 0.1378, decode.d6.loss_mask: 0.3928, decode.d6.loss_dice: 0.6091, decode.d7.loss_cls: 0.1340, decode.d7.loss_mask: 0.3925, decode.d7.loss_dice: 0.6125, decode.d8.loss_cls: 0.1352, decode.d8.loss_mask: 0.3918, decode.d8.loss_dice: 0.6080, loss: 12.6289, grad_norm: 45.7586 2023-11-12 19:46:23,848 - mmseg - INFO - Iter [151700/160000] lr: 5.188e-06, eta: 1:08:59, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1135, decode.loss_mask: 0.3961, decode.loss_dice: 0.6037, decode.d0.loss_cls: 1.0765, decode.d0.loss_mask: 0.4227, decode.d0.loss_dice: 0.6493, decode.d1.loss_cls: 0.1785, decode.d1.loss_mask: 0.4054, decode.d1.loss_dice: 0.6294, decode.d2.loss_cls: 0.1477, decode.d2.loss_mask: 0.4003, decode.d2.loss_dice: 0.6161, decode.d3.loss_cls: 0.1350, decode.d3.loss_mask: 0.3986, decode.d3.loss_dice: 0.6047, decode.d4.loss_cls: 0.1227, decode.d4.loss_mask: 0.3983, decode.d4.loss_dice: 0.6070, decode.d5.loss_cls: 0.1186, decode.d5.loss_mask: 0.3975, decode.d5.loss_dice: 0.6078, decode.d6.loss_cls: 0.1212, decode.d6.loss_mask: 0.3973, decode.d6.loss_dice: 0.6052, decode.d7.loss_cls: 0.1181, decode.d7.loss_mask: 0.3979, decode.d7.loss_dice: 0.6043, decode.d8.loss_cls: 0.1128, decode.d8.loss_mask: 0.3969, decode.d8.loss_dice: 0.6056, loss: 12.3884, grad_norm: 44.2940 2023-11-12 19:46:47,807 - mmseg - INFO - Iter [151750/160000] lr: 5.157e-06, eta: 1:08:34, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1191, decode.loss_mask: 0.4086, decode.loss_dice: 0.6058, decode.d0.loss_cls: 1.0895, decode.d0.loss_mask: 0.4386, decode.d0.loss_dice: 0.6507, decode.d1.loss_cls: 0.1787, decode.d1.loss_mask: 0.4215, decode.d1.loss_dice: 0.6321, decode.d2.loss_cls: 0.1483, decode.d2.loss_mask: 0.4128, decode.d2.loss_dice: 0.6187, decode.d3.loss_cls: 0.1341, decode.d3.loss_mask: 0.4108, decode.d3.loss_dice: 0.6108, decode.d4.loss_cls: 0.1297, decode.d4.loss_mask: 0.4100, decode.d4.loss_dice: 0.6099, decode.d5.loss_cls: 0.1232, decode.d5.loss_mask: 0.4100, decode.d5.loss_dice: 0.6103, decode.d6.loss_cls: 0.1239, decode.d6.loss_mask: 0.4096, decode.d6.loss_dice: 0.6044, decode.d7.loss_cls: 0.1226, decode.d7.loss_mask: 0.4077, decode.d7.loss_dice: 0.6024, decode.d8.loss_cls: 0.1190, decode.d8.loss_mask: 0.4086, decode.d8.loss_dice: 0.6086, loss: 12.5797, grad_norm: 47.8048 2023-11-12 19:47:11,659 - mmseg - INFO - Iter [151800/160000] lr: 5.126e-06, eta: 1:08:09, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1162, decode.loss_mask: 0.3812, decode.loss_dice: 0.5844, decode.d0.loss_cls: 1.0557, decode.d0.loss_mask: 0.4137, decode.d0.loss_dice: 0.6380, decode.d1.loss_cls: 0.1816, decode.d1.loss_mask: 0.3902, decode.d1.loss_dice: 0.6077, decode.d2.loss_cls: 0.1490, decode.d2.loss_mask: 0.3862, decode.d2.loss_dice: 0.5962, decode.d3.loss_cls: 0.1390, decode.d3.loss_mask: 0.3835, decode.d3.loss_dice: 0.5891, decode.d4.loss_cls: 0.1304, decode.d4.loss_mask: 0.3820, decode.d4.loss_dice: 0.5870, decode.d5.loss_cls: 0.1281, decode.d5.loss_mask: 0.3825, decode.d5.loss_dice: 0.5846, decode.d6.loss_cls: 0.1238, decode.d6.loss_mask: 0.3812, decode.d6.loss_dice: 0.5858, decode.d7.loss_cls: 0.1237, decode.d7.loss_mask: 0.3807, decode.d7.loss_dice: 0.5865, decode.d8.loss_cls: 0.1261, decode.d8.loss_mask: 0.3812, decode.d8.loss_dice: 0.5834, loss: 12.0784, grad_norm: 44.0397 2023-11-12 19:47:35,388 - mmseg - INFO - Iter [151850/160000] lr: 5.094e-06, eta: 1:07:44, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1389, decode.loss_mask: 0.3835, decode.loss_dice: 0.6281, decode.d0.loss_cls: 1.1232, decode.d0.loss_mask: 0.4092, decode.d0.loss_dice: 0.6790, decode.d1.loss_cls: 0.2063, decode.d1.loss_mask: 0.3934, decode.d1.loss_dice: 0.6526, decode.d2.loss_cls: 0.1686, decode.d2.loss_mask: 0.3883, decode.d2.loss_dice: 0.6339, decode.d3.loss_cls: 0.1559, decode.d3.loss_mask: 0.3857, decode.d3.loss_dice: 0.6256, decode.d4.loss_cls: 0.1526, decode.d4.loss_mask: 0.3856, decode.d4.loss_dice: 0.6234, decode.d5.loss_cls: 0.1438, decode.d5.loss_mask: 0.3848, decode.d5.loss_dice: 0.6270, decode.d6.loss_cls: 0.1446, decode.d6.loss_mask: 0.3842, decode.d6.loss_dice: 0.6264, decode.d7.loss_cls: 0.1431, decode.d7.loss_mask: 0.3832, decode.d7.loss_dice: 0.6245, decode.d8.loss_cls: 0.1374, decode.d8.loss_mask: 0.3830, decode.d8.loss_dice: 0.6215, loss: 12.7373, grad_norm: 42.9796 2023-11-12 19:47:59,195 - mmseg - INFO - Iter [151900/160000] lr: 5.063e-06, eta: 1:07:19, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1142, decode.loss_mask: 0.3982, decode.loss_dice: 0.6103, decode.d0.loss_cls: 1.0737, decode.d0.loss_mask: 0.4296, decode.d0.loss_dice: 0.6595, decode.d1.loss_cls: 0.1804, decode.d1.loss_mask: 0.4114, decode.d1.loss_dice: 0.6341, decode.d2.loss_cls: 0.1469, decode.d2.loss_mask: 0.4066, decode.d2.loss_dice: 0.6268, decode.d3.loss_cls: 0.1381, decode.d3.loss_mask: 0.4022, decode.d3.loss_dice: 0.6155, decode.d4.loss_cls: 0.1292, decode.d4.loss_mask: 0.4005, decode.d4.loss_dice: 0.6148, decode.d5.loss_cls: 0.1183, decode.d5.loss_mask: 0.4009, decode.d5.loss_dice: 0.6138, decode.d6.loss_cls: 0.1182, decode.d6.loss_mask: 0.4001, decode.d6.loss_dice: 0.6102, decode.d7.loss_cls: 0.1141, decode.d7.loss_mask: 0.3995, decode.d7.loss_dice: 0.6095, decode.d8.loss_cls: 0.1121, decode.d8.loss_mask: 0.3990, decode.d8.loss_dice: 0.6121, loss: 12.4998, grad_norm: 41.8878 2023-11-12 19:48:23,207 - mmseg - INFO - Iter [151950/160000] lr: 5.032e-06, eta: 1:06:54, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1193, decode.loss_mask: 0.3884, decode.loss_dice: 0.6025, decode.d0.loss_cls: 1.0721, decode.d0.loss_mask: 0.4161, decode.d0.loss_dice: 0.6484, decode.d1.loss_cls: 0.1727, decode.d1.loss_mask: 0.3964, decode.d1.loss_dice: 0.6252, decode.d2.loss_cls: 0.1457, decode.d2.loss_mask: 0.3911, decode.d2.loss_dice: 0.6173, decode.d3.loss_cls: 0.1367, decode.d3.loss_mask: 0.3898, decode.d3.loss_dice: 0.6066, decode.d4.loss_cls: 0.1268, decode.d4.loss_mask: 0.3889, decode.d4.loss_dice: 0.6031, decode.d5.loss_cls: 0.1228, decode.d5.loss_mask: 0.3881, decode.d5.loss_dice: 0.6014, decode.d6.loss_cls: 0.1247, decode.d6.loss_mask: 0.3872, decode.d6.loss_dice: 0.6009, decode.d7.loss_cls: 0.1191, decode.d7.loss_mask: 0.3884, decode.d7.loss_dice: 0.6041, decode.d8.loss_cls: 0.1167, decode.d8.loss_mask: 0.3886, decode.d8.loss_dice: 0.6043, loss: 12.2934, grad_norm: 43.6148 2023-11-12 19:48:46,912 - mmseg - INFO - Saving checkpoint at 152000 iterations 2023-11-12 19:48:50,637 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 19:48:50,637 - mmseg - INFO - Iter [152000/160000] lr: 5.001e-06, eta: 1:06:30, time: 0.549, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1315, decode.loss_mask: 0.3897, decode.loss_dice: 0.6011, decode.d0.loss_cls: 1.0586, decode.d0.loss_mask: 0.4167, decode.d0.loss_dice: 0.6519, decode.d1.loss_cls: 0.1821, decode.d1.loss_mask: 0.4013, decode.d1.loss_dice: 0.6287, decode.d2.loss_cls: 0.1556, decode.d2.loss_mask: 0.3937, decode.d2.loss_dice: 0.6111, decode.d3.loss_cls: 0.1435, decode.d3.loss_mask: 0.3921, decode.d3.loss_dice: 0.6057, decode.d4.loss_cls: 0.1384, decode.d4.loss_mask: 0.3909, decode.d4.loss_dice: 0.6056, decode.d5.loss_cls: 0.1329, decode.d5.loss_mask: 0.3913, decode.d5.loss_dice: 0.6054, decode.d6.loss_cls: 0.1309, decode.d6.loss_mask: 0.3907, decode.d6.loss_dice: 0.6006, decode.d7.loss_cls: 0.1301, decode.d7.loss_mask: 0.3905, decode.d7.loss_dice: 0.6016, decode.d8.loss_cls: 0.1335, decode.d8.loss_mask: 0.3890, decode.d8.loss_dice: 0.6018, loss: 12.3965, grad_norm: 41.8461 2023-11-12 19:49:09,731 - mmseg - INFO - per class results: 2023-11-12 19:49:09,736 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.27 | 87.98 | | building | 83.09 | 91.75 | | sky | 94.77 | 97.48 | | floor | 83.5 | 91.14 | | tree | 75.41 | 87.43 | | ceiling | 84.48 | 90.9 | | road | 85.0 | 91.24 | | bed | 90.93 | 96.15 | | windowpane | 64.31 | 80.9 | | grass | 69.79 | 84.05 | | cabinet | 63.9 | 76.58 | | sidewalk | 67.33 | 81.01 | | person | 84.7 | 93.2 | | earth | 44.4 | 58.26 | | door | 50.89 | 67.01 | | table | 67.7 | 81.43 | | mountain | 67.13 | 79.52 | | plant | 53.12 | 67.45 | | curtain | 78.43 | 87.93 | | chair | 64.34 | 76.93 | | car | 86.13 | 92.36 | | water | 45.97 | 57.14 | | painting | 78.68 | 89.31 | | sofa | 68.83 | 81.38 | | shelf | 42.11 | 58.92 | | house | 38.75 | 63.29 | | sea | 58.21 | 90.37 | | mirror | 69.38 | 80.1 | | rug | 65.06 | 76.6 | | field | 34.84 | 50.17 | | armchair | 48.39 | 68.92 | | seat | 59.95 | 81.84 | | fence | 52.56 | 69.6 | | desk | 56.36 | 75.17 | | rock | 48.77 | 79.1 | | wardrobe | 51.22 | 66.3 | | lamp | 72.53 | 85.1 | | bathtub | 82.31 | 90.35 | | railing | 36.85 | 53.91 | | cushion | 64.39 | 77.92 | | base | 37.1 | 60.33 | | box | 27.61 | 38.85 | | column | 47.05 | 59.12 | | signboard | 34.8 | 52.84 | | chest of drawers | 34.08 | 61.23 | | counter | 31.44 | 37.96 | | sand | 32.98 | 45.45 | | sink | 79.62 | 83.85 | | skyscraper | 36.68 | 41.77 | | fireplace | 75.7 | 93.47 | | refrigerator | 76.79 | 83.55 | | grandstand | 40.82 | 73.81 | | path | 31.83 | 47.48 | | stairs | 30.78 | 39.46 | | runway | 86.25 | 92.38 | | case | 63.74 | 79.25 | | pool table | 95.22 | 97.58 | | pillow | 62.43 | 72.81 | | screen door | 64.13 | 70.07 | | stairway | 33.68 | 42.14 | | river | 11.53 | 20.15 | | bridge | 70.06 | 85.79 | | bookcase | 37.82 | 64.68 | | blind | 46.97 | 51.48 | | coffee table | 68.02 | 85.85 | | toilet | 83.86 | 92.08 | | flower | 51.37 | 64.45 | | book | 49.52 | 70.99 | | hill | 8.45 | 15.58 | | bench | 57.67 | 70.98 | | countertop | 62.63 | 78.5 | | stove | 84.4 | 89.2 | | palm | 57.09 | 74.62 | | kitchen island | 57.99 | 90.05 | | computer | 71.94 | 78.54 | | swivel chair | 39.85 | 57.77 | | boat | 48.73 | 54.0 | | bar | 52.34 | 64.62 | | arcade machine | 88.59 | 95.03 | | hovel | 28.76 | 41.24 | | bus | 94.43 | 96.39 | | towel | 66.58 | 80.78 | | light | 62.48 | 71.42 | | truck | 32.28 | 58.57 | | tower | 37.67 | 63.55 | | chandelier | 72.8 | 86.9 | | awning | 33.51 | 46.64 | | streetlight | 42.52 | 62.92 | | booth | 35.08 | 69.6 | | television receiver | 73.86 | 82.88 | | airplane | 75.8 | 85.16 | | dirt track | 6.66 | 52.24 | | apparel | 22.92 | 49.22 | | pole | 31.14 | 47.86 | | land | 3.59 | 9.14 | | bannister | 19.86 | 31.21 | | escalator | 20.32 | 21.2 | | ottoman | 60.45 | 78.91 | | bottle | 26.48 | 32.8 | | buffet | 46.81 | 55.01 | | poster | 23.56 | 33.9 | | stage | 19.13 | 32.24 | | van | 50.16 | 65.63 | | ship | 4.43 | 10.61 | | fountain | 20.56 | 21.88 | | conveyer belt | 70.45 | 93.89 | | canopy | 27.98 | 38.92 | | washer | 71.16 | 73.77 | | plaything | 26.05 | 37.33 | | swimming pool | 57.22 | 61.27 | | stool | 44.01 | 65.55 | | barrel | 86.04 | 97.59 | | basket | 37.36 | 46.79 | | waterfall | 57.71 | 90.01 | | tent | 95.49 | 98.17 | | bag | 17.06 | 20.9 | | minibike | 73.36 | 92.5 | | cradle | 85.7 | 97.3 | | oven | 24.6 | 67.69 | | ball | 57.04 | 71.53 | | food | 58.4 | 70.42 | | step | 18.27 | 24.79 | | tank | 63.29 | 66.17 | | trade name | 28.38 | 35.15 | | microwave | 41.68 | 46.03 | | pot | 49.26 | 56.1 | | animal | 58.23 | 59.85 | | bicycle | 54.45 | 77.6 | | lake | 37.41 | 63.6 | | dishwasher | 80.4 | 86.06 | | screen | 61.74 | 93.26 | | blanket | 26.8 | 37.7 | | sculpture | 67.57 | 86.58 | | hood | 87.22 | 92.74 | | sconce | 55.07 | 67.14 | | vase | 53.53 | 67.82 | | traffic light | 43.17 | 66.78 | | tray | 14.3 | 29.31 | | ashcan | 54.67 | 69.26 | | fan | 71.59 | 85.1 | | pier | 33.84 | 44.53 | | crt screen | 4.67 | 14.57 | | plate | 58.27 | 72.47 | | monitor | 9.12 | 12.05 | | bulletin board | 50.55 | 76.52 | | shower | 2.83 | 23.43 | | radiator | 69.79 | 83.83 | | glass | 21.58 | 23.39 | | clock | 58.13 | 68.17 | | flag | 46.32 | 52.12 | +---------------------+-------+-------+ 2023-11-12 19:49:09,736 - mmseg - INFO - Summary: 2023-11-12 19:49:09,736 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 84.2 | 52.73 | 66.18 | +------+-------+-------+ 2023-11-12 19:49:09,737 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 19:49:09,737 - mmseg - INFO - Iter(val) [250] aAcc: 0.8420, mIoU: 0.5273, mAcc: 0.6618, IoU.wall: 0.7927, IoU.building: 0.8309, IoU.sky: 0.9477, IoU.floor: 0.8350, IoU.tree: 0.7541, IoU.ceiling: 0.8448, IoU.road: 0.8500, IoU.bed : 0.9093, IoU.windowpane: 0.6431, IoU.grass: 0.6979, IoU.cabinet: 0.6390, IoU.sidewalk: 0.6733, IoU.person: 0.8470, IoU.earth: 0.4440, IoU.door: 0.5089, IoU.table: 0.6770, IoU.mountain: 0.6713, IoU.plant: 0.5312, IoU.curtain: 0.7843, IoU.chair: 0.6434, IoU.car: 0.8613, IoU.water: 0.4597, IoU.painting: 0.7868, IoU.sofa: 0.6883, IoU.shelf: 0.4211, IoU.house: 0.3875, IoU.sea: 0.5821, IoU.mirror: 0.6938, IoU.rug: 0.6506, IoU.field: 0.3484, IoU.armchair: 0.4839, IoU.seat: 0.5995, IoU.fence: 0.5256, IoU.desk: 0.5636, IoU.rock: 0.4877, IoU.wardrobe: 0.5122, IoU.lamp: 0.7253, IoU.bathtub: 0.8231, IoU.railing: 0.3685, IoU.cushion: 0.6439, IoU.base: 0.3710, IoU.box: 0.2761, IoU.column: 0.4705, IoU.signboard: 0.3480, IoU.chest of drawers: 0.3408, IoU.counter: 0.3144, IoU.sand: 0.3298, IoU.sink: 0.7962, IoU.skyscraper: 0.3668, IoU.fireplace: 0.7570, IoU.refrigerator: 0.7679, IoU.grandstand: 0.4082, IoU.path: 0.3183, IoU.stairs: 0.3078, IoU.runway: 0.8625, IoU.case: 0.6374, IoU.pool table: 0.9522, IoU.pillow: 0.6243, IoU.screen door: 0.6413, IoU.stairway: 0.3368, IoU.river: 0.1153, IoU.bridge: 0.7006, IoU.bookcase: 0.3782, IoU.blind: 0.4697, IoU.coffee table: 0.6802, IoU.toilet: 0.8386, IoU.flower: 0.5137, IoU.book: 0.4952, IoU.hill: 0.0845, IoU.bench: 0.5767, IoU.countertop: 0.6263, IoU.stove: 0.8440, IoU.palm: 0.5709, IoU.kitchen island: 0.5799, IoU.computer: 0.7194, IoU.swivel chair: 0.3985, IoU.boat: 0.4873, IoU.bar: 0.5234, IoU.arcade machine: 0.8859, IoU.hovel: 0.2876, IoU.bus: 0.9443, IoU.towel: 0.6658, IoU.light: 0.6248, IoU.truck: 0.3228, IoU.tower: 0.3767, IoU.chandelier: 0.7280, IoU.awning: 0.3351, IoU.streetlight: 0.4252, IoU.booth: 0.3508, IoU.television receiver: 0.7386, IoU.airplane: 0.7580, IoU.dirt track: 0.0666, IoU.apparel: 0.2292, IoU.pole: 0.3114, IoU.land: 0.0359, IoU.bannister: 0.1986, IoU.escalator: 0.2032, IoU.ottoman: 0.6045, IoU.bottle: 0.2648, IoU.buffet: 0.4681, IoU.poster: 0.2356, IoU.stage: 0.1913, IoU.van: 0.5016, IoU.ship: 0.0443, IoU.fountain: 0.2056, IoU.conveyer belt: 0.7045, IoU.canopy: 0.2798, IoU.washer: 0.7116, IoU.plaything: 0.2605, IoU.swimming pool: 0.5722, IoU.stool: 0.4401, IoU.barrel: 0.8604, IoU.basket: 0.3736, IoU.waterfall: 0.5771, IoU.tent: 0.9549, IoU.bag: 0.1706, IoU.minibike: 0.7336, IoU.cradle: 0.8570, IoU.oven: 0.2460, IoU.ball: 0.5704, IoU.food: 0.5840, IoU.step: 0.1827, IoU.tank: 0.6329, IoU.trade name: 0.2838, IoU.microwave: 0.4168, IoU.pot: 0.4926, IoU.animal: 0.5823, IoU.bicycle: 0.5445, IoU.lake: 0.3741, IoU.dishwasher: 0.8040, IoU.screen: 0.6174, IoU.blanket: 0.2680, IoU.sculpture: 0.6757, IoU.hood: 0.8722, IoU.sconce: 0.5507, IoU.vase: 0.5353, IoU.traffic light: 0.4317, IoU.tray: 0.1430, IoU.ashcan: 0.5467, IoU.fan: 0.7159, IoU.pier: 0.3384, IoU.crt screen: 0.0467, IoU.plate: 0.5827, IoU.monitor: 0.0912, IoU.bulletin board: 0.5055, IoU.shower: 0.0283, IoU.radiator: 0.6979, IoU.glass: 0.2158, IoU.clock: 0.5813, IoU.flag: 0.4632, Acc.wall: 0.8798, Acc.building: 0.9175, Acc.sky: 0.9748, Acc.floor: 0.9114, Acc.tree: 0.8743, Acc.ceiling: 0.9090, Acc.road: 0.9124, Acc.bed : 0.9615, Acc.windowpane: 0.8090, Acc.grass: 0.8405, Acc.cabinet: 0.7658, Acc.sidewalk: 0.8101, Acc.person: 0.9320, Acc.earth: 0.5826, Acc.door: 0.6701, Acc.table: 0.8143, Acc.mountain: 0.7952, Acc.plant: 0.6745, Acc.curtain: 0.8793, Acc.chair: 0.7693, Acc.car: 0.9236, Acc.water: 0.5714, Acc.painting: 0.8931, Acc.sofa: 0.8138, Acc.shelf: 0.5892, Acc.house: 0.6329, Acc.sea: 0.9037, Acc.mirror: 0.8010, Acc.rug: 0.7660, Acc.field: 0.5017, Acc.armchair: 0.6892, Acc.seat: 0.8184, Acc.fence: 0.6960, Acc.desk: 0.7517, Acc.rock: 0.7910, Acc.wardrobe: 0.6630, Acc.lamp: 0.8510, Acc.bathtub: 0.9035, Acc.railing: 0.5391, Acc.cushion: 0.7792, Acc.base: 0.6033, Acc.box: 0.3885, Acc.column: 0.5912, Acc.signboard: 0.5284, Acc.chest of drawers: 0.6123, Acc.counter: 0.3796, Acc.sand: 0.4545, Acc.sink: 0.8385, Acc.skyscraper: 0.4177, Acc.fireplace: 0.9347, Acc.refrigerator: 0.8355, Acc.grandstand: 0.7381, Acc.path: 0.4748, Acc.stairs: 0.3946, Acc.runway: 0.9238, Acc.case: 0.7925, Acc.pool table: 0.9758, Acc.pillow: 0.7281, Acc.screen door: 0.7007, Acc.stairway: 0.4214, Acc.river: 0.2015, Acc.bridge: 0.8579, Acc.bookcase: 0.6468, Acc.blind: 0.5148, Acc.coffee table: 0.8585, Acc.toilet: 0.9208, Acc.flower: 0.6445, Acc.book: 0.7099, Acc.hill: 0.1558, Acc.bench: 0.7098, Acc.countertop: 0.7850, Acc.stove: 0.8920, Acc.palm: 0.7462, Acc.kitchen island: 0.9005, Acc.computer: 0.7854, Acc.swivel chair: 0.5777, Acc.boat: 0.5400, Acc.bar: 0.6462, Acc.arcade machine: 0.9503, Acc.hovel: 0.4124, Acc.bus: 0.9639, Acc.towel: 0.8078, Acc.light: 0.7142, Acc.truck: 0.5857, Acc.tower: 0.6355, Acc.chandelier: 0.8690, Acc.awning: 0.4664, Acc.streetlight: 0.6292, Acc.booth: 0.6960, Acc.television receiver: 0.8288, Acc.airplane: 0.8516, Acc.dirt track: 0.5224, Acc.apparel: 0.4922, Acc.pole: 0.4786, Acc.land: 0.0914, Acc.bannister: 0.3121, Acc.escalator: 0.2120, Acc.ottoman: 0.7891, Acc.bottle: 0.3280, Acc.buffet: 0.5501, Acc.poster: 0.3390, Acc.stage: 0.3224, Acc.van: 0.6563, Acc.ship: 0.1061, Acc.fountain: 0.2188, Acc.conveyer belt: 0.9389, Acc.canopy: 0.3892, Acc.washer: 0.7377, Acc.plaything: 0.3733, Acc.swimming pool: 0.6127, Acc.stool: 0.6555, Acc.barrel: 0.9759, Acc.basket: 0.4679, Acc.waterfall: 0.9001, Acc.tent: 0.9817, Acc.bag: 0.2090, Acc.minibike: 0.9250, Acc.cradle: 0.9730, Acc.oven: 0.6769, Acc.ball: 0.7153, Acc.food: 0.7042, Acc.step: 0.2479, Acc.tank: 0.6617, Acc.trade name: 0.3515, Acc.microwave: 0.4603, Acc.pot: 0.5610, Acc.animal: 0.5985, Acc.bicycle: 0.7760, Acc.lake: 0.6360, Acc.dishwasher: 0.8606, Acc.screen: 0.9326, Acc.blanket: 0.3770, Acc.sculpture: 0.8658, Acc.hood: 0.9274, Acc.sconce: 0.6714, Acc.vase: 0.6782, Acc.traffic light: 0.6678, Acc.tray: 0.2931, Acc.ashcan: 0.6926, Acc.fan: 0.8510, Acc.pier: 0.4453, Acc.crt screen: 0.1457, Acc.plate: 0.7247, Acc.monitor: 0.1205, Acc.bulletin board: 0.7652, Acc.shower: 0.2343, Acc.radiator: 0.8383, Acc.glass: 0.2339, Acc.clock: 0.6817, Acc.flag: 0.5212 2023-11-12 19:49:33,424 - mmseg - INFO - Iter [152050/160000] lr: 4.969e-06, eta: 1:06:06, time: 0.856, data_time: 0.394, memory: 41146, decode.loss_cls: 0.1220, decode.loss_mask: 0.3977, decode.loss_dice: 0.5996, decode.d0.loss_cls: 1.0639, decode.d0.loss_mask: 0.4269, decode.d0.loss_dice: 0.6502, decode.d1.loss_cls: 0.1768, decode.d1.loss_mask: 0.4091, decode.d1.loss_dice: 0.6239, decode.d2.loss_cls: 0.1487, decode.d2.loss_mask: 0.4034, decode.d2.loss_dice: 0.6131, decode.d3.loss_cls: 0.1428, decode.d3.loss_mask: 0.3993, decode.d3.loss_dice: 0.6038, decode.d4.loss_cls: 0.1368, decode.d4.loss_mask: 0.3996, decode.d4.loss_dice: 0.6078, decode.d5.loss_cls: 0.1316, decode.d5.loss_mask: 0.3978, decode.d5.loss_dice: 0.6045, decode.d6.loss_cls: 0.1311, decode.d6.loss_mask: 0.3975, decode.d6.loss_dice: 0.5989, decode.d7.loss_cls: 0.1308, decode.d7.loss_mask: 0.3978, decode.d7.loss_dice: 0.5998, decode.d8.loss_cls: 0.1256, decode.d8.loss_mask: 0.3981, decode.d8.loss_dice: 0.6064, loss: 12.4453, grad_norm: 45.5081 2023-11-12 19:49:57,275 - mmseg - INFO - Iter [152100/160000] lr: 4.938e-06, eta: 1:05:41, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1369, decode.loss_mask: 0.4047, decode.loss_dice: 0.6115, decode.d0.loss_cls: 1.0739, decode.d0.loss_mask: 0.4337, decode.d0.loss_dice: 0.6578, decode.d1.loss_cls: 0.1842, decode.d1.loss_mask: 0.4162, decode.d1.loss_dice: 0.6333, decode.d2.loss_cls: 0.1606, decode.d2.loss_mask: 0.4126, decode.d2.loss_dice: 0.6236, decode.d3.loss_cls: 0.1517, decode.d3.loss_mask: 0.4097, decode.d3.loss_dice: 0.6134, decode.d4.loss_cls: 0.1458, decode.d4.loss_mask: 0.4060, decode.d4.loss_dice: 0.6121, decode.d5.loss_cls: 0.1434, decode.d5.loss_mask: 0.4056, decode.d5.loss_dice: 0.6097, decode.d6.loss_cls: 0.1377, decode.d6.loss_mask: 0.4058, decode.d6.loss_dice: 0.6100, decode.d7.loss_cls: 0.1373, decode.d7.loss_mask: 0.4050, decode.d7.loss_dice: 0.6117, decode.d8.loss_cls: 0.1354, decode.d8.loss_mask: 0.4052, decode.d8.loss_dice: 0.6091, loss: 12.7037, grad_norm: 44.4590 2023-11-12 19:50:21,092 - mmseg - INFO - Iter [152150/160000] lr: 4.907e-06, eta: 1:05:16, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1290, decode.loss_mask: 0.4204, decode.loss_dice: 0.6171, decode.d0.loss_cls: 1.0587, decode.d0.loss_mask: 0.4509, decode.d0.loss_dice: 0.6667, decode.d1.loss_cls: 0.1768, decode.d1.loss_mask: 0.4347, decode.d1.loss_dice: 0.6436, decode.d2.loss_cls: 0.1505, decode.d2.loss_mask: 0.4274, decode.d2.loss_dice: 0.6298, decode.d3.loss_cls: 0.1406, decode.d3.loss_mask: 0.4249, decode.d3.loss_dice: 0.6214, decode.d4.loss_cls: 0.1359, decode.d4.loss_mask: 0.4237, decode.d4.loss_dice: 0.6212, decode.d5.loss_cls: 0.1333, decode.d5.loss_mask: 0.4220, decode.d5.loss_dice: 0.6157, decode.d6.loss_cls: 0.1320, decode.d6.loss_mask: 0.4217, decode.d6.loss_dice: 0.6148, decode.d7.loss_cls: 0.1345, decode.d7.loss_mask: 0.4208, decode.d7.loss_dice: 0.6158, decode.d8.loss_cls: 0.1286, decode.d8.loss_mask: 0.4206, decode.d8.loss_dice: 0.6163, loss: 12.8497, grad_norm: 49.9625 2023-11-12 19:50:44,824 - mmseg - INFO - Iter [152200/160000] lr: 4.876e-06, eta: 1:04:51, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1356, decode.loss_mask: 0.3853, decode.loss_dice: 0.6070, decode.d0.loss_cls: 1.0817, decode.d0.loss_mask: 0.4127, decode.d0.loss_dice: 0.6546, decode.d1.loss_cls: 0.1973, decode.d1.loss_mask: 0.3955, decode.d1.loss_dice: 0.6388, decode.d2.loss_cls: 0.1640, decode.d2.loss_mask: 0.3898, decode.d2.loss_dice: 0.6221, decode.d3.loss_cls: 0.1516, decode.d3.loss_mask: 0.3878, decode.d3.loss_dice: 0.6100, decode.d4.loss_cls: 0.1421, decode.d4.loss_mask: 0.3874, decode.d4.loss_dice: 0.6094, decode.d5.loss_cls: 0.1407, decode.d5.loss_mask: 0.3862, decode.d5.loss_dice: 0.6095, decode.d6.loss_cls: 0.1387, decode.d6.loss_mask: 0.3864, decode.d6.loss_dice: 0.6055, decode.d7.loss_cls: 0.1320, decode.d7.loss_mask: 0.3858, decode.d7.loss_dice: 0.6090, decode.d8.loss_cls: 0.1329, decode.d8.loss_mask: 0.3860, decode.d8.loss_dice: 0.6100, loss: 12.4953, grad_norm: 42.7538 2023-11-12 19:51:08,585 - mmseg - INFO - Iter [152250/160000] lr: 4.844e-06, eta: 1:04:26, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1300, decode.loss_mask: 0.4046, decode.loss_dice: 0.6113, decode.d0.loss_cls: 1.0715, decode.d0.loss_mask: 0.4357, decode.d0.loss_dice: 0.6626, decode.d1.loss_cls: 0.1830, decode.d1.loss_mask: 0.4175, decode.d1.loss_dice: 0.6425, decode.d2.loss_cls: 0.1550, decode.d2.loss_mask: 0.4104, decode.d2.loss_dice: 0.6261, decode.d3.loss_cls: 0.1411, decode.d3.loss_mask: 0.4082, decode.d3.loss_dice: 0.6189, decode.d4.loss_cls: 0.1336, decode.d4.loss_mask: 0.4086, decode.d4.loss_dice: 0.6235, decode.d5.loss_cls: 0.1366, decode.d5.loss_mask: 0.4074, decode.d5.loss_dice: 0.6198, decode.d6.loss_cls: 0.1357, decode.d6.loss_mask: 0.4066, decode.d6.loss_dice: 0.6177, decode.d7.loss_cls: 0.1357, decode.d7.loss_mask: 0.4058, decode.d7.loss_dice: 0.6159, decode.d8.loss_cls: 0.1306, decode.d8.loss_mask: 0.4040, decode.d8.loss_dice: 0.6121, loss: 12.7122, grad_norm: 48.6860 2023-11-12 19:51:32,277 - mmseg - INFO - Iter [152300/160000] lr: 4.813e-06, eta: 1:04:01, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1192, decode.loss_mask: 0.4011, decode.loss_dice: 0.5914, decode.d0.loss_cls: 1.0625, decode.d0.loss_mask: 0.4281, decode.d0.loss_dice: 0.6440, decode.d1.loss_cls: 0.1727, decode.d1.loss_mask: 0.4126, decode.d1.loss_dice: 0.6197, decode.d2.loss_cls: 0.1442, decode.d2.loss_mask: 0.4069, decode.d2.loss_dice: 0.6067, decode.d3.loss_cls: 0.1329, decode.d3.loss_mask: 0.4039, decode.d3.loss_dice: 0.5970, decode.d4.loss_cls: 0.1281, decode.d4.loss_mask: 0.4051, decode.d4.loss_dice: 0.5989, decode.d5.loss_cls: 0.1218, decode.d5.loss_mask: 0.4045, decode.d5.loss_dice: 0.5971, decode.d6.loss_cls: 0.1210, decode.d6.loss_mask: 0.4014, decode.d6.loss_dice: 0.5908, decode.d7.loss_cls: 0.1156, decode.d7.loss_mask: 0.4029, decode.d7.loss_dice: 0.5950, decode.d8.loss_cls: 0.1180, decode.d8.loss_mask: 0.4022, decode.d8.loss_dice: 0.5920, loss: 12.3373, grad_norm: 44.6937 2023-11-12 19:51:56,037 - mmseg - INFO - Iter [152350/160000] lr: 4.782e-06, eta: 1:03:36, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1395, decode.loss_mask: 0.4137, decode.loss_dice: 0.6145, decode.d0.loss_cls: 1.0919, decode.d0.loss_mask: 0.4457, decode.d0.loss_dice: 0.6653, decode.d1.loss_cls: 0.2016, decode.d1.loss_mask: 0.4235, decode.d1.loss_dice: 0.6367, decode.d2.loss_cls: 0.1665, decode.d2.loss_mask: 0.4207, decode.d2.loss_dice: 0.6278, decode.d3.loss_cls: 0.1555, decode.d3.loss_mask: 0.4163, decode.d3.loss_dice: 0.6191, decode.d4.loss_cls: 0.1501, decode.d4.loss_mask: 0.4154, decode.d4.loss_dice: 0.6203, decode.d5.loss_cls: 0.1460, decode.d5.loss_mask: 0.4149, decode.d5.loss_dice: 0.6209, decode.d6.loss_cls: 0.1432, decode.d6.loss_mask: 0.4138, decode.d6.loss_dice: 0.6154, decode.d7.loss_cls: 0.1440, decode.d7.loss_mask: 0.4133, decode.d7.loss_dice: 0.6185, decode.d8.loss_cls: 0.1413, decode.d8.loss_mask: 0.4135, decode.d8.loss_dice: 0.6161, loss: 12.9250, grad_norm: 47.1766 2023-11-12 19:52:19,884 - mmseg - INFO - Iter [152400/160000] lr: 4.751e-06, eta: 1:03:11, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1397, decode.loss_mask: 0.3931, decode.loss_dice: 0.6113, decode.d0.loss_cls: 1.1193, decode.d0.loss_mask: 0.4236, decode.d0.loss_dice: 0.6586, decode.d1.loss_cls: 0.1995, decode.d1.loss_mask: 0.4013, decode.d1.loss_dice: 0.6372, decode.d2.loss_cls: 0.1707, decode.d2.loss_mask: 0.3952, decode.d2.loss_dice: 0.6241, decode.d3.loss_cls: 0.1654, decode.d3.loss_mask: 0.3928, decode.d3.loss_dice: 0.6160, decode.d4.loss_cls: 0.1521, decode.d4.loss_mask: 0.3915, decode.d4.loss_dice: 0.6176, decode.d5.loss_cls: 0.1474, decode.d5.loss_mask: 0.3934, decode.d5.loss_dice: 0.6164, decode.d6.loss_cls: 0.1490, decode.d6.loss_mask: 0.3924, decode.d6.loss_dice: 0.6140, decode.d7.loss_cls: 0.1481, decode.d7.loss_mask: 0.3927, decode.d7.loss_dice: 0.6139, decode.d8.loss_cls: 0.1419, decode.d8.loss_mask: 0.3921, decode.d8.loss_dice: 0.6133, loss: 12.7238, grad_norm: 42.4339 2023-11-12 19:52:43,600 - mmseg - INFO - Iter [152450/160000] lr: 4.719e-06, eta: 1:02:46, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1338, decode.loss_mask: 0.3983, decode.loss_dice: 0.6073, decode.d0.loss_cls: 1.0819, decode.d0.loss_mask: 0.4258, decode.d0.loss_dice: 0.6535, decode.d1.loss_cls: 0.1952, decode.d1.loss_mask: 0.4069, decode.d1.loss_dice: 0.6334, decode.d2.loss_cls: 0.1685, decode.d2.loss_mask: 0.4015, decode.d2.loss_dice: 0.6174, decode.d3.loss_cls: 0.1575, decode.d3.loss_mask: 0.3989, decode.d3.loss_dice: 0.6136, decode.d4.loss_cls: 0.1473, decode.d4.loss_mask: 0.3988, decode.d4.loss_dice: 0.6130, decode.d5.loss_cls: 0.1418, decode.d5.loss_mask: 0.3974, decode.d5.loss_dice: 0.6076, decode.d6.loss_cls: 0.1399, decode.d6.loss_mask: 0.3970, decode.d6.loss_dice: 0.6059, decode.d7.loss_cls: 0.1382, decode.d7.loss_mask: 0.3962, decode.d7.loss_dice: 0.6047, decode.d8.loss_cls: 0.1372, decode.d8.loss_mask: 0.3978, decode.d8.loss_dice: 0.6081, loss: 12.6244, grad_norm: 46.3224 2023-11-12 19:53:07,545 - mmseg - INFO - Iter [152500/160000] lr: 4.688e-06, eta: 1:02:21, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1254, decode.loss_mask: 0.3771, decode.loss_dice: 0.6083, decode.d0.loss_cls: 1.1184, decode.d0.loss_mask: 0.4041, decode.d0.loss_dice: 0.6555, decode.d1.loss_cls: 0.1900, decode.d1.loss_mask: 0.3858, decode.d1.loss_dice: 0.6284, decode.d2.loss_cls: 0.1578, decode.d2.loss_mask: 0.3815, decode.d2.loss_dice: 0.6168, decode.d3.loss_cls: 0.1430, decode.d3.loss_mask: 0.3790, decode.d3.loss_dice: 0.6060, decode.d4.loss_cls: 0.1360, decode.d4.loss_mask: 0.3798, decode.d4.loss_dice: 0.6077, decode.d5.loss_cls: 0.1365, decode.d5.loss_mask: 0.3780, decode.d5.loss_dice: 0.6070, decode.d6.loss_cls: 0.1338, decode.d6.loss_mask: 0.3778, decode.d6.loss_dice: 0.6020, decode.d7.loss_cls: 0.1275, decode.d7.loss_mask: 0.3775, decode.d7.loss_dice: 0.6069, decode.d8.loss_cls: 0.1242, decode.d8.loss_mask: 0.3772, decode.d8.loss_dice: 0.6065, loss: 12.3556, grad_norm: 41.2415 2023-11-12 19:53:31,371 - mmseg - INFO - Iter [152550/160000] lr: 4.657e-06, eta: 1:01:56, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1205, decode.loss_mask: 0.3994, decode.loss_dice: 0.6032, decode.d0.loss_cls: 1.0651, decode.d0.loss_mask: 0.4276, decode.d0.loss_dice: 0.6541, decode.d1.loss_cls: 0.1735, decode.d1.loss_mask: 0.4086, decode.d1.loss_dice: 0.6241, decode.d2.loss_cls: 0.1467, decode.d2.loss_mask: 0.4032, decode.d2.loss_dice: 0.6147, decode.d3.loss_cls: 0.1330, decode.d3.loss_mask: 0.4012, decode.d3.loss_dice: 0.6092, decode.d4.loss_cls: 0.1254, decode.d4.loss_mask: 0.4010, decode.d4.loss_dice: 0.6079, decode.d5.loss_cls: 0.1272, decode.d5.loss_mask: 0.4002, decode.d5.loss_dice: 0.6062, decode.d6.loss_cls: 0.1255, decode.d6.loss_mask: 0.4003, decode.d6.loss_dice: 0.6042, decode.d7.loss_cls: 0.1218, decode.d7.loss_mask: 0.3994, decode.d7.loss_dice: 0.6045, decode.d8.loss_cls: 0.1208, decode.d8.loss_mask: 0.4000, decode.d8.loss_dice: 0.6025, loss: 12.4311, grad_norm: 42.9915 2023-11-12 19:53:55,263 - mmseg - INFO - Iter [152600/160000] lr: 4.626e-06, eta: 1:01:31, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1423, decode.loss_mask: 0.3915, decode.loss_dice: 0.6212, decode.d0.loss_cls: 1.1122, decode.d0.loss_mask: 0.4172, decode.d0.loss_dice: 0.6689, decode.d1.loss_cls: 0.1961, decode.d1.loss_mask: 0.4014, decode.d1.loss_dice: 0.6437, decode.d2.loss_cls: 0.1695, decode.d2.loss_mask: 0.3957, decode.d2.loss_dice: 0.6318, decode.d3.loss_cls: 0.1600, decode.d3.loss_mask: 0.3926, decode.d3.loss_dice: 0.6251, decode.d4.loss_cls: 0.1518, decode.d4.loss_mask: 0.3933, decode.d4.loss_dice: 0.6273, decode.d5.loss_cls: 0.1506, decode.d5.loss_mask: 0.3930, decode.d5.loss_dice: 0.6228, decode.d6.loss_cls: 0.1492, decode.d6.loss_mask: 0.3921, decode.d6.loss_dice: 0.6205, decode.d7.loss_cls: 0.1448, decode.d7.loss_mask: 0.3922, decode.d7.loss_dice: 0.6212, decode.d8.loss_cls: 0.1394, decode.d8.loss_mask: 0.3921, decode.d8.loss_dice: 0.6203, loss: 12.7799, grad_norm: 47.8177 2023-11-12 19:54:18,941 - mmseg - INFO - Iter [152650/160000] lr: 4.594e-06, eta: 1:01:06, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1289, decode.loss_mask: 0.3922, decode.loss_dice: 0.5976, decode.d0.loss_cls: 1.0890, decode.d0.loss_mask: 0.4234, decode.d0.loss_dice: 0.6461, decode.d1.loss_cls: 0.1865, decode.d1.loss_mask: 0.4007, decode.d1.loss_dice: 0.6246, decode.d2.loss_cls: 0.1564, decode.d2.loss_mask: 0.3948, decode.d2.loss_dice: 0.6081, decode.d3.loss_cls: 0.1462, decode.d3.loss_mask: 0.3927, decode.d3.loss_dice: 0.6019, decode.d4.loss_cls: 0.1343, decode.d4.loss_mask: 0.3926, decode.d4.loss_dice: 0.6028, decode.d5.loss_cls: 0.1374, decode.d5.loss_mask: 0.3939, decode.d5.loss_dice: 0.6005, decode.d6.loss_cls: 0.1338, decode.d6.loss_mask: 0.3943, decode.d6.loss_dice: 0.5992, decode.d7.loss_cls: 0.1333, decode.d7.loss_mask: 0.3923, decode.d7.loss_dice: 0.5969, decode.d8.loss_cls: 0.1305, decode.d8.loss_mask: 0.3924, decode.d8.loss_dice: 0.5998, loss: 12.4232, grad_norm: 42.3746 2023-11-12 19:54:42,721 - mmseg - INFO - Iter [152700/160000] lr: 4.563e-06, eta: 1:00:41, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1395, decode.loss_mask: 0.3923, decode.loss_dice: 0.6164, decode.d0.loss_cls: 1.0958, decode.d0.loss_mask: 0.4204, decode.d0.loss_dice: 0.6700, decode.d1.loss_cls: 0.1948, decode.d1.loss_mask: 0.4023, decode.d1.loss_dice: 0.6449, decode.d2.loss_cls: 0.1705, decode.d2.loss_mask: 0.3959, decode.d2.loss_dice: 0.6293, decode.d3.loss_cls: 0.1562, decode.d3.loss_mask: 0.3932, decode.d3.loss_dice: 0.6202, decode.d4.loss_cls: 0.1511, decode.d4.loss_mask: 0.3944, decode.d4.loss_dice: 0.6253, decode.d5.loss_cls: 0.1469, decode.d5.loss_mask: 0.3948, decode.d5.loss_dice: 0.6188, decode.d6.loss_cls: 0.1441, decode.d6.loss_mask: 0.3924, decode.d6.loss_dice: 0.6160, decode.d7.loss_cls: 0.1422, decode.d7.loss_mask: 0.3916, decode.d7.loss_dice: 0.6150, decode.d8.loss_cls: 0.1401, decode.d8.loss_mask: 0.3912, decode.d8.loss_dice: 0.6182, loss: 12.7237, grad_norm: 42.9293 2023-11-12 19:55:06,354 - mmseg - INFO - Iter [152750/160000] lr: 4.532e-06, eta: 1:00:16, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1238, decode.loss_mask: 0.4004, decode.loss_dice: 0.6057, decode.d0.loss_cls: 1.0533, decode.d0.loss_mask: 0.4273, decode.d0.loss_dice: 0.6524, decode.d1.loss_cls: 0.1818, decode.d1.loss_mask: 0.4087, decode.d1.loss_dice: 0.6322, decode.d2.loss_cls: 0.1571, decode.d2.loss_mask: 0.4004, decode.d2.loss_dice: 0.6170, decode.d3.loss_cls: 0.1445, decode.d3.loss_mask: 0.4021, decode.d3.loss_dice: 0.6118, decode.d4.loss_cls: 0.1374, decode.d4.loss_mask: 0.4005, decode.d4.loss_dice: 0.6081, decode.d5.loss_cls: 0.1283, decode.d5.loss_mask: 0.4019, decode.d5.loss_dice: 0.6062, decode.d6.loss_cls: 0.1270, decode.d6.loss_mask: 0.4019, decode.d6.loss_dice: 0.6083, decode.d7.loss_cls: 0.1307, decode.d7.loss_mask: 0.4005, decode.d7.loss_dice: 0.6036, decode.d8.loss_cls: 0.1274, decode.d8.loss_mask: 0.3999, decode.d8.loss_dice: 0.6029, loss: 12.5034, grad_norm: 48.5622 2023-11-12 19:55:30,406 - mmseg - INFO - Iter [152800/160000] lr: 4.501e-06, eta: 0:59:51, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1342, decode.loss_mask: 0.4040, decode.loss_dice: 0.6182, decode.d0.loss_cls: 1.0934, decode.d0.loss_mask: 0.4332, decode.d0.loss_dice: 0.6707, decode.d1.loss_cls: 0.1909, decode.d1.loss_mask: 0.4109, decode.d1.loss_dice: 0.6404, decode.d2.loss_cls: 0.1605, decode.d2.loss_mask: 0.4090, decode.d2.loss_dice: 0.6325, decode.d3.loss_cls: 0.1460, decode.d3.loss_mask: 0.4042, decode.d3.loss_dice: 0.6209, decode.d4.loss_cls: 0.1371, decode.d4.loss_mask: 0.4039, decode.d4.loss_dice: 0.6246, decode.d5.loss_cls: 0.1438, decode.d5.loss_mask: 0.4028, decode.d5.loss_dice: 0.6186, decode.d6.loss_cls: 0.1389, decode.d6.loss_mask: 0.4027, decode.d6.loss_dice: 0.6195, decode.d7.loss_cls: 0.1392, decode.d7.loss_mask: 0.4031, decode.d7.loss_dice: 0.6202, decode.d8.loss_cls: 0.1370, decode.d8.loss_mask: 0.4029, decode.d8.loss_dice: 0.6174, loss: 12.7811, grad_norm: 44.1878 2023-11-12 19:55:56,463 - mmseg - INFO - Iter [152850/160000] lr: 4.469e-06, eta: 0:59:26, time: 0.521, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1223, decode.loss_mask: 0.4028, decode.loss_dice: 0.6168, decode.d0.loss_cls: 1.0621, decode.d0.loss_mask: 0.4368, decode.d0.loss_dice: 0.6707, decode.d1.loss_cls: 0.1829, decode.d1.loss_mask: 0.4132, decode.d1.loss_dice: 0.6404, decode.d2.loss_cls: 0.1534, decode.d2.loss_mask: 0.4072, decode.d2.loss_dice: 0.6340, decode.d3.loss_cls: 0.1347, decode.d3.loss_mask: 0.4039, decode.d3.loss_dice: 0.6197, decode.d4.loss_cls: 0.1319, decode.d4.loss_mask: 0.4043, decode.d4.loss_dice: 0.6244, decode.d5.loss_cls: 0.1291, decode.d5.loss_mask: 0.4038, decode.d5.loss_dice: 0.6176, decode.d6.loss_cls: 0.1248, decode.d6.loss_mask: 0.4037, decode.d6.loss_dice: 0.6177, decode.d7.loss_cls: 0.1223, decode.d7.loss_mask: 0.4031, decode.d7.loss_dice: 0.6185, decode.d8.loss_cls: 0.1206, decode.d8.loss_mask: 0.4041, decode.d8.loss_dice: 0.6185, loss: 12.6453, grad_norm: 41.8362 2023-11-12 19:56:20,459 - mmseg - INFO - Iter [152900/160000] lr: 4.438e-06, eta: 0:59:01, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1286, decode.loss_mask: 0.3972, decode.loss_dice: 0.5973, decode.d0.loss_cls: 1.0856, decode.d0.loss_mask: 0.4245, decode.d0.loss_dice: 0.6484, decode.d1.loss_cls: 0.1846, decode.d1.loss_mask: 0.4090, decode.d1.loss_dice: 0.6228, decode.d2.loss_cls: 0.1559, decode.d2.loss_mask: 0.4048, decode.d2.loss_dice: 0.6158, decode.d3.loss_cls: 0.1436, decode.d3.loss_mask: 0.4006, decode.d3.loss_dice: 0.6058, decode.d4.loss_cls: 0.1346, decode.d4.loss_mask: 0.3988, decode.d4.loss_dice: 0.6049, decode.d5.loss_cls: 0.1337, decode.d5.loss_mask: 0.3985, decode.d5.loss_dice: 0.6051, decode.d6.loss_cls: 0.1296, decode.d6.loss_mask: 0.3978, decode.d6.loss_dice: 0.5983, decode.d7.loss_cls: 0.1286, decode.d7.loss_mask: 0.3963, decode.d7.loss_dice: 0.5988, decode.d8.loss_cls: 0.1291, decode.d8.loss_mask: 0.3972, decode.d8.loss_dice: 0.5976, loss: 12.4733, grad_norm: 46.9693 2023-11-12 19:56:44,350 - mmseg - INFO - Iter [152950/160000] lr: 4.407e-06, eta: 0:58:36, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1312, decode.loss_mask: 0.4061, decode.loss_dice: 0.6120, decode.d0.loss_cls: 1.0793, decode.d0.loss_mask: 0.4345, decode.d0.loss_dice: 0.6562, decode.d1.loss_cls: 0.1860, decode.d1.loss_mask: 0.4170, decode.d1.loss_dice: 0.6344, decode.d2.loss_cls: 0.1613, decode.d2.loss_mask: 0.4102, decode.d2.loss_dice: 0.6241, decode.d3.loss_cls: 0.1491, decode.d3.loss_mask: 0.4085, decode.d3.loss_dice: 0.6115, decode.d4.loss_cls: 0.1393, decode.d4.loss_mask: 0.4082, decode.d4.loss_dice: 0.6130, decode.d5.loss_cls: 0.1321, decode.d5.loss_mask: 0.4072, decode.d5.loss_dice: 0.6172, decode.d6.loss_cls: 0.1362, decode.d6.loss_mask: 0.4063, decode.d6.loss_dice: 0.6115, decode.d7.loss_cls: 0.1322, decode.d7.loss_mask: 0.4056, decode.d7.loss_dice: 0.6121, decode.d8.loss_cls: 0.1293, decode.d8.loss_mask: 0.4060, decode.d8.loss_dice: 0.6133, loss: 12.6906, grad_norm: 44.9200 2023-11-12 19:57:08,275 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 19:57:08,276 - mmseg - INFO - Iter [153000/160000] lr: 4.376e-06, eta: 0:58:11, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1267, decode.loss_mask: 0.4260, decode.loss_dice: 0.6133, decode.d0.loss_cls: 1.0539, decode.d0.loss_mask: 0.4540, decode.d0.loss_dice: 0.6591, decode.d1.loss_cls: 0.1827, decode.d1.loss_mask: 0.4349, decode.d1.loss_dice: 0.6368, decode.d2.loss_cls: 0.1521, decode.d2.loss_mask: 0.4319, decode.d2.loss_dice: 0.6252, decode.d3.loss_cls: 0.1402, decode.d3.loss_mask: 0.4286, decode.d3.loss_dice: 0.6193, decode.d4.loss_cls: 0.1360, decode.d4.loss_mask: 0.4282, decode.d4.loss_dice: 0.6175, decode.d5.loss_cls: 0.1351, decode.d5.loss_mask: 0.4272, decode.d5.loss_dice: 0.6171, decode.d6.loss_cls: 0.1286, decode.d6.loss_mask: 0.4268, decode.d6.loss_dice: 0.6148, decode.d7.loss_cls: 0.1279, decode.d7.loss_mask: 0.4252, decode.d7.loss_dice: 0.6162, decode.d8.loss_cls: 0.1272, decode.d8.loss_mask: 0.4259, decode.d8.loss_dice: 0.6138, loss: 12.8521, grad_norm: 44.9840 2023-11-12 19:57:32,300 - mmseg - INFO - Iter [153050/160000] lr: 4.344e-06, eta: 0:57:46, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1314, decode.loss_mask: 0.3796, decode.loss_dice: 0.6063, decode.d0.loss_cls: 1.1000, decode.d0.loss_mask: 0.4054, decode.d0.loss_dice: 0.6516, decode.d1.loss_cls: 0.1873, decode.d1.loss_mask: 0.3870, decode.d1.loss_dice: 0.6271, decode.d2.loss_cls: 0.1590, decode.d2.loss_mask: 0.3847, decode.d2.loss_dice: 0.6203, decode.d3.loss_cls: 0.1439, decode.d3.loss_mask: 0.3817, decode.d3.loss_dice: 0.6114, decode.d4.loss_cls: 0.1410, decode.d4.loss_mask: 0.3803, decode.d4.loss_dice: 0.6084, decode.d5.loss_cls: 0.1391, decode.d5.loss_mask: 0.3810, decode.d5.loss_dice: 0.6094, decode.d6.loss_cls: 0.1347, decode.d6.loss_mask: 0.3805, decode.d6.loss_dice: 0.6094, decode.d7.loss_cls: 0.1343, decode.d7.loss_mask: 0.3797, decode.d7.loss_dice: 0.6070, decode.d8.loss_cls: 0.1273, decode.d8.loss_mask: 0.3800, decode.d8.loss_dice: 0.6054, loss: 12.3941, grad_norm: 44.4718 2023-11-12 19:57:55,959 - mmseg - INFO - Iter [153100/160000] lr: 4.313e-06, eta: 0:57:21, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1297, decode.loss_mask: 0.4201, decode.loss_dice: 0.6130, decode.d0.loss_cls: 1.0839, decode.d0.loss_mask: 0.4528, decode.d0.loss_dice: 0.6602, decode.d1.loss_cls: 0.1860, decode.d1.loss_mask: 0.4293, decode.d1.loss_dice: 0.6347, decode.d2.loss_cls: 0.1569, decode.d2.loss_mask: 0.4253, decode.d2.loss_dice: 0.6273, decode.d3.loss_cls: 0.1415, decode.d3.loss_mask: 0.4224, decode.d3.loss_dice: 0.6192, decode.d4.loss_cls: 0.1348, decode.d4.loss_mask: 0.4222, decode.d4.loss_dice: 0.6169, decode.d5.loss_cls: 0.1346, decode.d5.loss_mask: 0.4218, decode.d5.loss_dice: 0.6169, decode.d6.loss_cls: 0.1334, decode.d6.loss_mask: 0.4203, decode.d6.loss_dice: 0.6122, decode.d7.loss_cls: 0.1301, decode.d7.loss_mask: 0.4196, decode.d7.loss_dice: 0.6090, decode.d8.loss_cls: 0.1305, decode.d8.loss_mask: 0.4201, decode.d8.loss_dice: 0.6153, loss: 12.8402, grad_norm: 46.8401 2023-11-12 19:58:19,641 - mmseg - INFO - Iter [153150/160000] lr: 4.282e-06, eta: 0:56:56, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1355, decode.loss_mask: 0.3953, decode.loss_dice: 0.6205, decode.d0.loss_cls: 1.0867, decode.d0.loss_mask: 0.4250, decode.d0.loss_dice: 0.6767, decode.d1.loss_cls: 0.1959, decode.d1.loss_mask: 0.4062, decode.d1.loss_dice: 0.6508, decode.d2.loss_cls: 0.1645, decode.d2.loss_mask: 0.3991, decode.d2.loss_dice: 0.6340, decode.d3.loss_cls: 0.1544, decode.d3.loss_mask: 0.3966, decode.d3.loss_dice: 0.6271, decode.d4.loss_cls: 0.1435, decode.d4.loss_mask: 0.3963, decode.d4.loss_dice: 0.6234, decode.d5.loss_cls: 0.1413, decode.d5.loss_mask: 0.3961, decode.d5.loss_dice: 0.6269, decode.d6.loss_cls: 0.1407, decode.d6.loss_mask: 0.3958, decode.d6.loss_dice: 0.6220, decode.d7.loss_cls: 0.1384, decode.d7.loss_mask: 0.3961, decode.d7.loss_dice: 0.6219, decode.d8.loss_cls: 0.1400, decode.d8.loss_mask: 0.3953, decode.d8.loss_dice: 0.6207, loss: 12.7667, grad_norm: 44.7024 2023-11-12 19:58:43,369 - mmseg - INFO - Iter [153200/160000] lr: 4.251e-06, eta: 0:56:31, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1294, decode.loss_mask: 0.4037, decode.loss_dice: 0.6249, decode.d0.loss_cls: 1.0885, decode.d0.loss_mask: 0.4310, decode.d0.loss_dice: 0.6732, decode.d1.loss_cls: 0.1912, decode.d1.loss_mask: 0.4141, decode.d1.loss_dice: 0.6468, decode.d2.loss_cls: 0.1578, decode.d2.loss_mask: 0.4101, decode.d2.loss_dice: 0.6460, decode.d3.loss_cls: 0.1505, decode.d3.loss_mask: 0.4085, decode.d3.loss_dice: 0.6294, decode.d4.loss_cls: 0.1470, decode.d4.loss_mask: 0.4057, decode.d4.loss_dice: 0.6262, decode.d5.loss_cls: 0.1390, decode.d5.loss_mask: 0.4040, decode.d5.loss_dice: 0.6263, decode.d6.loss_cls: 0.1389, decode.d6.loss_mask: 0.4024, decode.d6.loss_dice: 0.6272, decode.d7.loss_cls: 0.1336, decode.d7.loss_mask: 0.4025, decode.d7.loss_dice: 0.6256, decode.d8.loss_cls: 0.1292, decode.d8.loss_mask: 0.4034, decode.d8.loss_dice: 0.6268, loss: 12.8431, grad_norm: 46.7800 2023-11-12 19:59:06,962 - mmseg - INFO - Iter [153250/160000] lr: 4.219e-06, eta: 0:56:06, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1192, decode.loss_mask: 0.3895, decode.loss_dice: 0.6212, decode.d0.loss_cls: 1.0848, decode.d0.loss_mask: 0.4185, decode.d0.loss_dice: 0.6615, decode.d1.loss_cls: 0.1774, decode.d1.loss_mask: 0.4016, decode.d1.loss_dice: 0.6438, decode.d2.loss_cls: 0.1521, decode.d2.loss_mask: 0.3949, decode.d2.loss_dice: 0.6303, decode.d3.loss_cls: 0.1360, decode.d3.loss_mask: 0.3924, decode.d3.loss_dice: 0.6242, decode.d4.loss_cls: 0.1296, decode.d4.loss_mask: 0.3917, decode.d4.loss_dice: 0.6227, decode.d5.loss_cls: 0.1280, decode.d5.loss_mask: 0.3906, decode.d5.loss_dice: 0.6246, decode.d6.loss_cls: 0.1223, decode.d6.loss_mask: 0.3918, decode.d6.loss_dice: 0.6201, decode.d7.loss_cls: 0.1208, decode.d7.loss_mask: 0.3900, decode.d7.loss_dice: 0.6224, decode.d8.loss_cls: 0.1187, decode.d8.loss_mask: 0.3899, decode.d8.loss_dice: 0.6220, loss: 12.5326, grad_norm: 43.0067 2023-11-12 19:59:31,104 - mmseg - INFO - Iter [153300/160000] lr: 4.188e-06, eta: 0:55:41, time: 0.483, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1394, decode.loss_mask: 0.3794, decode.loss_dice: 0.6072, decode.d0.loss_cls: 1.0679, decode.d0.loss_mask: 0.4119, decode.d0.loss_dice: 0.6628, decode.d1.loss_cls: 0.2052, decode.d1.loss_mask: 0.3903, decode.d1.loss_dice: 0.6340, decode.d2.loss_cls: 0.1674, decode.d2.loss_mask: 0.3859, decode.d2.loss_dice: 0.6267, decode.d3.loss_cls: 0.1573, decode.d3.loss_mask: 0.3831, decode.d3.loss_dice: 0.6141, decode.d4.loss_cls: 0.1509, decode.d4.loss_mask: 0.3820, decode.d4.loss_dice: 0.6125, decode.d5.loss_cls: 0.1492, decode.d5.loss_mask: 0.3815, decode.d5.loss_dice: 0.6149, decode.d6.loss_cls: 0.1468, decode.d6.loss_mask: 0.3807, decode.d6.loss_dice: 0.6087, decode.d7.loss_cls: 0.1428, decode.d7.loss_mask: 0.3809, decode.d7.loss_dice: 0.6132, decode.d8.loss_cls: 0.1424, decode.d8.loss_mask: 0.3804, decode.d8.loss_dice: 0.6093, loss: 12.5287, grad_norm: 44.9923 2023-11-12 19:59:56,258 - mmseg - INFO - Iter [153350/160000] lr: 4.157e-06, eta: 0:55:16, time: 0.503, data_time: 0.011, memory: 41146, decode.loss_cls: 0.1231, decode.loss_mask: 0.3957, decode.loss_dice: 0.6078, decode.d0.loss_cls: 1.0605, decode.d0.loss_mask: 0.4272, decode.d0.loss_dice: 0.6532, decode.d1.loss_cls: 0.1827, decode.d1.loss_mask: 0.4083, decode.d1.loss_dice: 0.6263, decode.d2.loss_cls: 0.1522, decode.d2.loss_mask: 0.4001, decode.d2.loss_dice: 0.6151, decode.d3.loss_cls: 0.1430, decode.d3.loss_mask: 0.3986, decode.d3.loss_dice: 0.6076, decode.d4.loss_cls: 0.1361, decode.d4.loss_mask: 0.3976, decode.d4.loss_dice: 0.6046, decode.d5.loss_cls: 0.1307, decode.d5.loss_mask: 0.3978, decode.d5.loss_dice: 0.6053, decode.d6.loss_cls: 0.1276, decode.d6.loss_mask: 0.3972, decode.d6.loss_dice: 0.6043, decode.d7.loss_cls: 0.1255, decode.d7.loss_mask: 0.3974, decode.d7.loss_dice: 0.6083, decode.d8.loss_cls: 0.1214, decode.d8.loss_mask: 0.3961, decode.d8.loss_dice: 0.6055, loss: 12.4568, grad_norm: 43.7377 2023-11-12 20:00:20,650 - mmseg - INFO - Iter [153400/160000] lr: 4.126e-06, eta: 0:54:51, time: 0.488, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1300, decode.loss_mask: 0.3840, decode.loss_dice: 0.6059, decode.d0.loss_cls: 1.0967, decode.d0.loss_mask: 0.4110, decode.d0.loss_dice: 0.6522, decode.d1.loss_cls: 0.2031, decode.d1.loss_mask: 0.3913, decode.d1.loss_dice: 0.6264, decode.d2.loss_cls: 0.1610, decode.d2.loss_mask: 0.3872, decode.d2.loss_dice: 0.6161, decode.d3.loss_cls: 0.1483, decode.d3.loss_mask: 0.3860, decode.d3.loss_dice: 0.6062, decode.d4.loss_cls: 0.1414, decode.d4.loss_mask: 0.3855, decode.d4.loss_dice: 0.6063, decode.d5.loss_cls: 0.1360, decode.d5.loss_mask: 0.3865, decode.d5.loss_dice: 0.6052, decode.d6.loss_cls: 0.1324, decode.d6.loss_mask: 0.3840, decode.d6.loss_dice: 0.6060, decode.d7.loss_cls: 0.1307, decode.d7.loss_mask: 0.3849, decode.d7.loss_dice: 0.6056, decode.d8.loss_cls: 0.1277, decode.d8.loss_mask: 0.3839, decode.d8.loss_dice: 0.6082, loss: 12.4297, grad_norm: 39.4203 2023-11-12 20:00:44,333 - mmseg - INFO - Iter [153450/160000] lr: 4.094e-06, eta: 0:54:26, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1357, decode.loss_mask: 0.3856, decode.loss_dice: 0.6067, decode.d0.loss_cls: 1.0840, decode.d0.loss_mask: 0.4156, decode.d0.loss_dice: 0.6567, decode.d1.loss_cls: 0.1950, decode.d1.loss_mask: 0.3991, decode.d1.loss_dice: 0.6314, decode.d2.loss_cls: 0.1667, decode.d2.loss_mask: 0.3904, decode.d2.loss_dice: 0.6187, decode.d3.loss_cls: 0.1493, decode.d3.loss_mask: 0.3875, decode.d3.loss_dice: 0.6095, decode.d4.loss_cls: 0.1423, decode.d4.loss_mask: 0.3873, decode.d4.loss_dice: 0.6079, decode.d5.loss_cls: 0.1432, decode.d5.loss_mask: 0.3869, decode.d5.loss_dice: 0.6101, decode.d6.loss_cls: 0.1437, decode.d6.loss_mask: 0.3865, decode.d6.loss_dice: 0.6057, decode.d7.loss_cls: 0.1378, decode.d7.loss_mask: 0.3861, decode.d7.loss_dice: 0.6053, decode.d8.loss_cls: 0.1382, decode.d8.loss_mask: 0.3859, decode.d8.loss_dice: 0.6082, loss: 12.5072, grad_norm: 47.2067 2023-11-12 20:01:08,070 - mmseg - INFO - Iter [153500/160000] lr: 4.063e-06, eta: 0:54:01, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1434, decode.loss_mask: 0.3896, decode.loss_dice: 0.6040, decode.d0.loss_cls: 1.0742, decode.d0.loss_mask: 0.4219, decode.d0.loss_dice: 0.6643, decode.d1.loss_cls: 0.1926, decode.d1.loss_mask: 0.4018, decode.d1.loss_dice: 0.6333, decode.d2.loss_cls: 0.1635, decode.d2.loss_mask: 0.3958, decode.d2.loss_dice: 0.6234, decode.d3.loss_cls: 0.1570, decode.d3.loss_mask: 0.3917, decode.d3.loss_dice: 0.6075, decode.d4.loss_cls: 0.1484, decode.d4.loss_mask: 0.3926, decode.d4.loss_dice: 0.6116, decode.d5.loss_cls: 0.1450, decode.d5.loss_mask: 0.3931, decode.d5.loss_dice: 0.6066, decode.d6.loss_cls: 0.1423, decode.d6.loss_mask: 0.3917, decode.d6.loss_dice: 0.6087, decode.d7.loss_cls: 0.1414, decode.d7.loss_mask: 0.3916, decode.d7.loss_dice: 0.6062, decode.d8.loss_cls: 0.1461, decode.d8.loss_mask: 0.3902, decode.d8.loss_dice: 0.6042, loss: 12.5837, grad_norm: 43.3164 2023-11-12 20:01:31,755 - mmseg - INFO - Iter [153550/160000] lr: 4.032e-06, eta: 0:53:36, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1330, decode.loss_mask: 0.3955, decode.loss_dice: 0.6037, decode.d0.loss_cls: 1.1151, decode.d0.loss_mask: 0.4244, decode.d0.loss_dice: 0.6533, decode.d1.loss_cls: 0.2026, decode.d1.loss_mask: 0.4033, decode.d1.loss_dice: 0.6276, decode.d2.loss_cls: 0.1659, decode.d2.loss_mask: 0.3981, decode.d2.loss_dice: 0.6165, decode.d3.loss_cls: 0.1560, decode.d3.loss_mask: 0.3953, decode.d3.loss_dice: 0.6059, decode.d4.loss_cls: 0.1464, decode.d4.loss_mask: 0.3966, decode.d4.loss_dice: 0.6066, decode.d5.loss_cls: 0.1432, decode.d5.loss_mask: 0.3978, decode.d5.loss_dice: 0.6045, decode.d6.loss_cls: 0.1403, decode.d6.loss_mask: 0.3966, decode.d6.loss_dice: 0.6059, decode.d7.loss_cls: 0.1370, decode.d7.loss_mask: 0.3950, decode.d7.loss_dice: 0.6031, decode.d8.loss_cls: 0.1365, decode.d8.loss_mask: 0.3951, decode.d8.loss_dice: 0.6069, loss: 12.6077, grad_norm: 43.4670 2023-11-12 20:01:55,520 - mmseg - INFO - Iter [153600/160000] lr: 4.001e-06, eta: 0:53:11, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1213, decode.loss_mask: 0.3715, decode.loss_dice: 0.5743, decode.d0.loss_cls: 1.0768, decode.d0.loss_mask: 0.3966, decode.d0.loss_dice: 0.6204, decode.d1.loss_cls: 0.1809, decode.d1.loss_mask: 0.3825, decode.d1.loss_dice: 0.5970, decode.d2.loss_cls: 0.1484, decode.d2.loss_mask: 0.3763, decode.d2.loss_dice: 0.5849, decode.d3.loss_cls: 0.1361, decode.d3.loss_mask: 0.3741, decode.d3.loss_dice: 0.5779, decode.d4.loss_cls: 0.1279, decode.d4.loss_mask: 0.3751, decode.d4.loss_dice: 0.5789, decode.d5.loss_cls: 0.1300, decode.d5.loss_mask: 0.3727, decode.d5.loss_dice: 0.5770, decode.d6.loss_cls: 0.1297, decode.d6.loss_mask: 0.3732, decode.d6.loss_dice: 0.5723, decode.d7.loss_cls: 0.1265, decode.d7.loss_mask: 0.3728, decode.d7.loss_dice: 0.5753, decode.d8.loss_cls: 0.1219, decode.d8.loss_mask: 0.3733, decode.d8.loss_dice: 0.5754, loss: 11.9010, grad_norm: 39.3105 2023-11-12 20:02:19,225 - mmseg - INFO - Iter [153650/160000] lr: 3.969e-06, eta: 0:52:46, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1177, decode.loss_mask: 0.4081, decode.loss_dice: 0.6155, decode.d0.loss_cls: 1.0763, decode.d0.loss_mask: 0.4380, decode.d0.loss_dice: 0.6598, decode.d1.loss_cls: 0.1735, decode.d1.loss_mask: 0.4207, decode.d1.loss_dice: 0.6392, decode.d2.loss_cls: 0.1442, decode.d2.loss_mask: 0.4122, decode.d2.loss_dice: 0.6321, decode.d3.loss_cls: 0.1363, decode.d3.loss_mask: 0.4112, decode.d3.loss_dice: 0.6200, decode.d4.loss_cls: 0.1287, decode.d4.loss_mask: 0.4104, decode.d4.loss_dice: 0.6166, decode.d5.loss_cls: 0.1259, decode.d5.loss_mask: 0.4098, decode.d5.loss_dice: 0.6192, decode.d6.loss_cls: 0.1212, decode.d6.loss_mask: 0.4108, decode.d6.loss_dice: 0.6190, decode.d7.loss_cls: 0.1142, decode.d7.loss_mask: 0.4108, decode.d7.loss_dice: 0.6185, decode.d8.loss_cls: 0.1155, decode.d8.loss_mask: 0.4099, decode.d8.loss_dice: 0.6201, loss: 12.6551, grad_norm: 48.0449 2023-11-12 20:02:42,994 - mmseg - INFO - Iter [153700/160000] lr: 3.938e-06, eta: 0:52:21, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1134, decode.loss_mask: 0.4024, decode.loss_dice: 0.5976, decode.d0.loss_cls: 1.0607, decode.d0.loss_mask: 0.4296, decode.d0.loss_dice: 0.6447, decode.d1.loss_cls: 0.1640, decode.d1.loss_mask: 0.4119, decode.d1.loss_dice: 0.6188, decode.d2.loss_cls: 0.1441, decode.d2.loss_mask: 0.4066, decode.d2.loss_dice: 0.6113, decode.d3.loss_cls: 0.1297, decode.d3.loss_mask: 0.4048, decode.d3.loss_dice: 0.6008, decode.d4.loss_cls: 0.1247, decode.d4.loss_mask: 0.4048, decode.d4.loss_dice: 0.5987, decode.d5.loss_cls: 0.1256, decode.d5.loss_mask: 0.4030, decode.d5.loss_dice: 0.6020, decode.d6.loss_cls: 0.1204, decode.d6.loss_mask: 0.4035, decode.d6.loss_dice: 0.5992, decode.d7.loss_cls: 0.1171, decode.d7.loss_mask: 0.4023, decode.d7.loss_dice: 0.5979, decode.d8.loss_cls: 0.1155, decode.d8.loss_mask: 0.4012, decode.d8.loss_dice: 0.5965, loss: 12.3526, grad_norm: 44.5982 2023-11-12 20:03:06,994 - mmseg - INFO - Iter [153750/160000] lr: 3.907e-06, eta: 0:51:56, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1313, decode.loss_mask: 0.3970, decode.loss_dice: 0.6052, decode.d0.loss_cls: 1.0759, decode.d0.loss_mask: 0.4315, decode.d0.loss_dice: 0.6528, decode.d1.loss_cls: 0.1944, decode.d1.loss_mask: 0.4099, decode.d1.loss_dice: 0.6303, decode.d2.loss_cls: 0.1607, decode.d2.loss_mask: 0.4040, decode.d2.loss_dice: 0.6199, decode.d3.loss_cls: 0.1499, decode.d3.loss_mask: 0.4004, decode.d3.loss_dice: 0.6086, decode.d4.loss_cls: 0.1481, decode.d4.loss_mask: 0.4001, decode.d4.loss_dice: 0.6067, decode.d5.loss_cls: 0.1357, decode.d5.loss_mask: 0.3979, decode.d5.loss_dice: 0.6040, decode.d6.loss_cls: 0.1336, decode.d6.loss_mask: 0.3979, decode.d6.loss_dice: 0.6021, decode.d7.loss_cls: 0.1283, decode.d7.loss_mask: 0.3969, decode.d7.loss_dice: 0.6057, decode.d8.loss_cls: 0.1313, decode.d8.loss_mask: 0.3973, decode.d8.loss_dice: 0.6070, loss: 12.5645, grad_norm: 42.6279 2023-11-12 20:03:30,682 - mmseg - INFO - Iter [153800/160000] lr: 3.876e-06, eta: 0:51:31, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1294, decode.loss_mask: 0.3907, decode.loss_dice: 0.6050, decode.d0.loss_cls: 1.0764, decode.d0.loss_mask: 0.4152, decode.d0.loss_dice: 0.6534, decode.d1.loss_cls: 0.1895, decode.d1.loss_mask: 0.3992, decode.d1.loss_dice: 0.6251, decode.d2.loss_cls: 0.1577, decode.d2.loss_mask: 0.3979, decode.d2.loss_dice: 0.6166, decode.d3.loss_cls: 0.1505, decode.d3.loss_mask: 0.3915, decode.d3.loss_dice: 0.6074, decode.d4.loss_cls: 0.1393, decode.d4.loss_mask: 0.3940, decode.d4.loss_dice: 0.6080, decode.d5.loss_cls: 0.1383, decode.d5.loss_mask: 0.3921, decode.d5.loss_dice: 0.6062, decode.d6.loss_cls: 0.1360, decode.d6.loss_mask: 0.3909, decode.d6.loss_dice: 0.6011, decode.d7.loss_cls: 0.1309, decode.d7.loss_mask: 0.3910, decode.d7.loss_dice: 0.6018, decode.d8.loss_cls: 0.1321, decode.d8.loss_mask: 0.3906, decode.d8.loss_dice: 0.6030, loss: 12.4608, grad_norm: 46.9327 2023-11-12 20:03:54,247 - mmseg - INFO - Iter [153850/160000] lr: 3.844e-06, eta: 0:51:06, time: 0.471, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1156, decode.loss_mask: 0.4112, decode.loss_dice: 0.6029, decode.d0.loss_cls: 1.0573, decode.d0.loss_mask: 0.4441, decode.d0.loss_dice: 0.6524, decode.d1.loss_cls: 0.1734, decode.d1.loss_mask: 0.4222, decode.d1.loss_dice: 0.6273, decode.d2.loss_cls: 0.1455, decode.d2.loss_mask: 0.4157, decode.d2.loss_dice: 0.6153, decode.d3.loss_cls: 0.1317, decode.d3.loss_mask: 0.4134, decode.d3.loss_dice: 0.6088, decode.d4.loss_cls: 0.1271, decode.d4.loss_mask: 0.4131, decode.d4.loss_dice: 0.6065, decode.d5.loss_cls: 0.1230, decode.d5.loss_mask: 0.4119, decode.d5.loss_dice: 0.6074, decode.d6.loss_cls: 0.1226, decode.d6.loss_mask: 0.4112, decode.d6.loss_dice: 0.6051, decode.d7.loss_cls: 0.1183, decode.d7.loss_mask: 0.4114, decode.d7.loss_dice: 0.6042, decode.d8.loss_cls: 0.1179, decode.d8.loss_mask: 0.4117, decode.d8.loss_dice: 0.6047, loss: 12.5328, grad_norm: 42.2634 2023-11-12 20:04:18,128 - mmseg - INFO - Iter [153900/160000] lr: 3.813e-06, eta: 0:50:41, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1288, decode.loss_mask: 0.3830, decode.loss_dice: 0.6019, decode.d0.loss_cls: 1.0818, decode.d0.loss_mask: 0.4185, decode.d0.loss_dice: 0.6566, decode.d1.loss_cls: 0.1879, decode.d1.loss_mask: 0.3944, decode.d1.loss_dice: 0.6294, decode.d2.loss_cls: 0.1544, decode.d2.loss_mask: 0.3897, decode.d2.loss_dice: 0.6156, decode.d3.loss_cls: 0.1432, decode.d3.loss_mask: 0.3857, decode.d3.loss_dice: 0.6073, decode.d4.loss_cls: 0.1396, decode.d4.loss_mask: 0.3854, decode.d4.loss_dice: 0.6078, decode.d5.loss_cls: 0.1305, decode.d5.loss_mask: 0.3853, decode.d5.loss_dice: 0.6063, decode.d6.loss_cls: 0.1281, decode.d6.loss_mask: 0.3845, decode.d6.loss_dice: 0.6052, decode.d7.loss_cls: 0.1302, decode.d7.loss_mask: 0.3846, decode.d7.loss_dice: 0.6070, decode.d8.loss_cls: 0.1284, decode.d8.loss_mask: 0.3841, decode.d8.loss_dice: 0.6037, loss: 12.3887, grad_norm: 44.0913 2023-11-12 20:04:42,082 - mmseg - INFO - Iter [153950/160000] lr: 3.782e-06, eta: 0:50:16, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1277, decode.loss_mask: 0.3846, decode.loss_dice: 0.5917, decode.d0.loss_cls: 1.1050, decode.d0.loss_mask: 0.4166, decode.d0.loss_dice: 0.6418, decode.d1.loss_cls: 0.1909, decode.d1.loss_mask: 0.3996, decode.d1.loss_dice: 0.6174, decode.d2.loss_cls: 0.1571, decode.d2.loss_mask: 0.3918, decode.d2.loss_dice: 0.6054, decode.d3.loss_cls: 0.1443, decode.d3.loss_mask: 0.3874, decode.d3.loss_dice: 0.5984, decode.d4.loss_cls: 0.1397, decode.d4.loss_mask: 0.3859, decode.d4.loss_dice: 0.5961, decode.d5.loss_cls: 0.1360, decode.d5.loss_mask: 0.3863, decode.d5.loss_dice: 0.5959, decode.d6.loss_cls: 0.1328, decode.d6.loss_mask: 0.3858, decode.d6.loss_dice: 0.5939, decode.d7.loss_cls: 0.1309, decode.d7.loss_mask: 0.3850, decode.d7.loss_dice: 0.5947, decode.d8.loss_cls: 0.1291, decode.d8.loss_mask: 0.3852, decode.d8.loss_dice: 0.5957, loss: 12.3328, grad_norm: 40.6078 2023-11-12 20:05:05,976 - mmseg - INFO - Saving checkpoint at 154000 iterations 2023-11-12 20:05:09,621 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 20:05:09,621 - mmseg - INFO - Iter [154000/160000] lr: 3.751e-06, eta: 0:49:51, time: 0.551, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1125, decode.loss_mask: 0.3891, decode.loss_dice: 0.6019, decode.d0.loss_cls: 1.0483, decode.d0.loss_mask: 0.4167, decode.d0.loss_dice: 0.6473, decode.d1.loss_cls: 0.1697, decode.d1.loss_mask: 0.3976, decode.d1.loss_dice: 0.6248, decode.d2.loss_cls: 0.1416, decode.d2.loss_mask: 0.3951, decode.d2.loss_dice: 0.6130, decode.d3.loss_cls: 0.1281, decode.d3.loss_mask: 0.3922, decode.d3.loss_dice: 0.6071, decode.d4.loss_cls: 0.1242, decode.d4.loss_mask: 0.3912, decode.d4.loss_dice: 0.6056, decode.d5.loss_cls: 0.1197, decode.d5.loss_mask: 0.3886, decode.d5.loss_dice: 0.6050, decode.d6.loss_cls: 0.1193, decode.d6.loss_mask: 0.3884, decode.d6.loss_dice: 0.6028, decode.d7.loss_cls: 0.1174, decode.d7.loss_mask: 0.3893, decode.d7.loss_dice: 0.6013, decode.d8.loss_cls: 0.1121, decode.d8.loss_mask: 0.3889, decode.d8.loss_dice: 0.6034, loss: 12.2421, grad_norm: 39.2670 2023-11-12 20:05:28,760 - mmseg - INFO - per class results: 2023-11-12 20:05:28,765 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.53 | 88.58 | | building | 83.19 | 91.91 | | sky | 94.79 | 97.49 | | floor | 83.76 | 91.01 | | tree | 76.02 | 87.57 | | ceiling | 84.42 | 90.64 | | road | 85.0 | 91.19 | | bed | 91.03 | 95.68 | | windowpane | 64.28 | 80.59 | | grass | 65.08 | 74.92 | | cabinet | 65.1 | 76.75 | | sidewalk | 67.23 | 80.74 | | person | 84.53 | 93.08 | | earth | 40.81 | 58.42 | | door | 52.83 | 69.96 | | table | 67.49 | 81.62 | | mountain | 66.71 | 80.17 | | plant | 52.98 | 69.73 | | curtain | 77.6 | 87.54 | | chair | 64.09 | 75.51 | | car | 85.99 | 92.17 | | water | 52.43 | 66.18 | | painting | 78.03 | 88.8 | | sofa | 69.15 | 81.82 | | shelf | 45.23 | 64.29 | | house | 38.57 | 62.47 | | sea | 61.35 | 90.38 | | mirror | 68.42 | 80.09 | | rug | 66.35 | 79.81 | | field | 32.34 | 52.4 | | armchair | 49.32 | 70.55 | | seat | 60.86 | 81.53 | | fence | 52.1 | 70.42 | | desk | 55.96 | 75.12 | | rock | 49.28 | 77.44 | | wardrobe | 43.19 | 63.99 | | lamp | 72.07 | 83.83 | | bathtub | 84.61 | 90.46 | | railing | 37.17 | 52.79 | | cushion | 63.92 | 77.28 | | base | 37.07 | 54.59 | | box | 29.6 | 41.19 | | column | 46.79 | 59.0 | | signboard | 34.47 | 51.62 | | chest of drawers | 42.37 | 61.77 | | counter | 29.0 | 34.25 | | sand | 33.05 | 45.47 | | sink | 79.17 | 84.54 | | skyscraper | 38.25 | 43.42 | | fireplace | 79.81 | 92.87 | | refrigerator | 76.59 | 83.57 | | grandstand | 40.67 | 74.13 | | path | 28.34 | 42.41 | | stairs | 31.02 | 39.22 | | runway | 86.96 | 92.28 | | case | 64.09 | 80.22 | | pool table | 95.12 | 97.6 | | pillow | 61.29 | 75.86 | | screen door | 77.56 | 85.06 | | stairway | 34.18 | 42.23 | | river | 11.61 | 18.67 | | bridge | 73.03 | 88.52 | | bookcase | 40.0 | 63.1 | | blind | 47.43 | 52.01 | | coffee table | 67.06 | 85.92 | | toilet | 83.98 | 92.19 | | flower | 49.43 | 65.8 | | book | 50.14 | 71.01 | | hill | 7.42 | 13.86 | | bench | 62.07 | 77.15 | | countertop | 65.35 | 77.86 | | stove | 84.61 | 89.32 | | palm | 57.29 | 74.02 | | kitchen island | 61.88 | 86.84 | | computer | 72.1 | 78.95 | | swivel chair | 36.28 | 59.37 | | boat | 47.53 | 52.98 | | bar | 52.74 | 64.31 | | arcade machine | 86.66 | 91.96 | | hovel | 26.57 | 41.4 | | bus | 94.5 | 96.38 | | towel | 65.48 | 80.61 | | light | 60.75 | 69.98 | | truck | 31.68 | 56.92 | | tower | 37.49 | 63.4 | | chandelier | 72.0 | 87.75 | | awning | 33.93 | 45.5 | | streetlight | 42.21 | 62.33 | | booth | 36.67 | 69.15 | | television receiver | 72.25 | 81.7 | | airplane | 70.15 | 79.41 | | dirt track | 11.15 | 34.51 | | apparel | 27.16 | 49.12 | | pole | 31.54 | 47.65 | | land | 4.36 | 7.73 | | bannister | 20.32 | 31.35 | | escalator | 19.67 | 21.01 | | ottoman | 63.45 | 78.22 | | bottle | 29.01 | 35.38 | | buffet | 49.91 | 58.28 | | poster | 23.68 | 34.64 | | stage | 17.81 | 29.79 | | van | 48.71 | 64.76 | | ship | 4.49 | 10.6 | | fountain | 20.69 | 21.9 | | conveyer belt | 67.06 | 90.87 | | canopy | 32.35 | 45.17 | | washer | 71.18 | 73.85 | | plaything | 29.23 | 39.03 | | swimming pool | 35.11 | 37.65 | | stool | 44.66 | 72.45 | | barrel | 91.15 | 97.68 | | basket | 35.56 | 43.89 | | waterfall | 58.44 | 92.88 | | tent | 95.44 | 98.19 | | bag | 15.92 | 19.14 | | minibike | 73.84 | 92.18 | | cradle | 85.61 | 97.25 | | oven | 24.72 | 67.57 | | ball | 55.91 | 67.76 | | food | 59.46 | 70.47 | | step | 19.56 | 24.8 | | tank | 63.57 | 66.18 | | trade name | 28.43 | 34.81 | | microwave | 41.99 | 46.46 | | pot | 49.95 | 56.58 | | animal | 57.36 | 58.69 | | bicycle | 56.44 | 78.12 | | lake | 57.76 | 63.6 | | dishwasher | 78.91 | 84.48 | | screen | 61.85 | 93.37 | | blanket | 29.29 | 36.3 | | sculpture | 69.79 | 86.79 | | hood | 81.98 | 92.8 | | sconce | 56.95 | 67.98 | | vase | 51.48 | 68.67 | | traffic light | 43.07 | 67.31 | | tray | 13.53 | 27.47 | | ashcan | 54.55 | 66.68 | | fan | 72.03 | 84.94 | | pier | 33.26 | 44.59 | | crt screen | 4.89 | 14.54 | | plate | 58.08 | 73.46 | | monitor | 9.58 | 12.83 | | bulletin board | 55.34 | 75.94 | | shower | 9.88 | 23.02 | | radiator | 69.42 | 83.41 | | glass | 21.01 | 22.37 | | clock | 58.05 | 69.37 | | flag | 45.51 | 51.59 | +---------------------+-------+-------+ 2023-11-12 20:05:28,765 - mmseg - INFO - Summary: 2023-11-12 20:05:28,765 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.27 | 53.06 | 65.95 | +-------+-------+-------+ 2023-11-12 20:05:28,766 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 20:05:28,766 - mmseg - INFO - Iter(val) [250] aAcc: 0.8427, mIoU: 0.5306, mAcc: 0.6595, IoU.wall: 0.7953, IoU.building: 0.8319, IoU.sky: 0.9479, IoU.floor: 0.8376, IoU.tree: 0.7602, IoU.ceiling: 0.8442, IoU.road: 0.8500, IoU.bed : 0.9103, IoU.windowpane: 0.6428, IoU.grass: 0.6508, IoU.cabinet: 0.6510, IoU.sidewalk: 0.6723, IoU.person: 0.8453, IoU.earth: 0.4081, IoU.door: 0.5283, IoU.table: 0.6749, IoU.mountain: 0.6671, IoU.plant: 0.5298, IoU.curtain: 0.7760, IoU.chair: 0.6409, IoU.car: 0.8599, IoU.water: 0.5243, IoU.painting: 0.7803, IoU.sofa: 0.6915, IoU.shelf: 0.4523, IoU.house: 0.3857, IoU.sea: 0.6135, IoU.mirror: 0.6842, IoU.rug: 0.6635, IoU.field: 0.3234, IoU.armchair: 0.4932, IoU.seat: 0.6086, IoU.fence: 0.5210, IoU.desk: 0.5596, IoU.rock: 0.4928, IoU.wardrobe: 0.4319, IoU.lamp: 0.7207, IoU.bathtub: 0.8461, IoU.railing: 0.3717, IoU.cushion: 0.6392, IoU.base: 0.3707, IoU.box: 0.2960, IoU.column: 0.4679, IoU.signboard: 0.3447, IoU.chest of drawers: 0.4237, IoU.counter: 0.2900, IoU.sand: 0.3305, IoU.sink: 0.7917, IoU.skyscraper: 0.3825, IoU.fireplace: 0.7981, IoU.refrigerator: 0.7659, IoU.grandstand: 0.4067, IoU.path: 0.2834, IoU.stairs: 0.3102, IoU.runway: 0.8696, IoU.case: 0.6409, IoU.pool table: 0.9512, IoU.pillow: 0.6129, IoU.screen door: 0.7756, IoU.stairway: 0.3418, IoU.river: 0.1161, IoU.bridge: 0.7303, IoU.bookcase: 0.4000, IoU.blind: 0.4743, IoU.coffee table: 0.6706, IoU.toilet: 0.8398, IoU.flower: 0.4943, IoU.book: 0.5014, IoU.hill: 0.0742, IoU.bench: 0.6207, IoU.countertop: 0.6535, IoU.stove: 0.8461, IoU.palm: 0.5729, IoU.kitchen island: 0.6188, IoU.computer: 0.7210, IoU.swivel chair: 0.3628, IoU.boat: 0.4753, IoU.bar: 0.5274, IoU.arcade machine: 0.8666, IoU.hovel: 0.2657, IoU.bus: 0.9450, IoU.towel: 0.6548, IoU.light: 0.6075, IoU.truck: 0.3168, IoU.tower: 0.3749, IoU.chandelier: 0.7200, IoU.awning: 0.3393, IoU.streetlight: 0.4221, IoU.booth: 0.3667, IoU.television receiver: 0.7225, IoU.airplane: 0.7015, IoU.dirt track: 0.1115, IoU.apparel: 0.2716, IoU.pole: 0.3154, IoU.land: 0.0436, IoU.bannister: 0.2032, IoU.escalator: 0.1967, IoU.ottoman: 0.6345, IoU.bottle: 0.2901, IoU.buffet: 0.4991, IoU.poster: 0.2368, IoU.stage: 0.1781, IoU.van: 0.4871, IoU.ship: 0.0449, IoU.fountain: 0.2069, IoU.conveyer belt: 0.6706, IoU.canopy: 0.3235, IoU.washer: 0.7118, IoU.plaything: 0.2923, IoU.swimming pool: 0.3511, IoU.stool: 0.4466, IoU.barrel: 0.9115, IoU.basket: 0.3556, IoU.waterfall: 0.5844, IoU.tent: 0.9544, IoU.bag: 0.1592, IoU.minibike: 0.7384, IoU.cradle: 0.8561, IoU.oven: 0.2472, IoU.ball: 0.5591, IoU.food: 0.5946, IoU.step: 0.1956, IoU.tank: 0.6357, IoU.trade name: 0.2843, IoU.microwave: 0.4199, IoU.pot: 0.4995, IoU.animal: 0.5736, IoU.bicycle: 0.5644, IoU.lake: 0.5776, IoU.dishwasher: 0.7891, IoU.screen: 0.6185, IoU.blanket: 0.2929, IoU.sculpture: 0.6979, IoU.hood: 0.8198, IoU.sconce: 0.5695, IoU.vase: 0.5148, IoU.traffic light: 0.4307, IoU.tray: 0.1353, IoU.ashcan: 0.5455, IoU.fan: 0.7203, IoU.pier: 0.3326, IoU.crt screen: 0.0489, IoU.plate: 0.5808, IoU.monitor: 0.0958, IoU.bulletin board: 0.5534, IoU.shower: 0.0988, IoU.radiator: 0.6942, IoU.glass: 0.2101, IoU.clock: 0.5805, IoU.flag: 0.4551, Acc.wall: 0.8858, Acc.building: 0.9191, Acc.sky: 0.9749, Acc.floor: 0.9101, Acc.tree: 0.8757, Acc.ceiling: 0.9064, Acc.road: 0.9119, Acc.bed : 0.9568, Acc.windowpane: 0.8059, Acc.grass: 0.7492, Acc.cabinet: 0.7675, Acc.sidewalk: 0.8074, Acc.person: 0.9308, Acc.earth: 0.5842, Acc.door: 0.6996, Acc.table: 0.8162, Acc.mountain: 0.8017, Acc.plant: 0.6973, Acc.curtain: 0.8754, Acc.chair: 0.7551, Acc.car: 0.9217, Acc.water: 0.6618, Acc.painting: 0.8880, Acc.sofa: 0.8182, Acc.shelf: 0.6429, Acc.house: 0.6247, Acc.sea: 0.9038, Acc.mirror: 0.8009, Acc.rug: 0.7981, Acc.field: 0.5240, Acc.armchair: 0.7055, Acc.seat: 0.8153, Acc.fence: 0.7042, Acc.desk: 0.7512, Acc.rock: 0.7744, Acc.wardrobe: 0.6399, Acc.lamp: 0.8383, Acc.bathtub: 0.9046, Acc.railing: 0.5279, Acc.cushion: 0.7728, Acc.base: 0.5459, Acc.box: 0.4119, Acc.column: 0.5900, Acc.signboard: 0.5162, Acc.chest of drawers: 0.6177, Acc.counter: 0.3425, Acc.sand: 0.4547, Acc.sink: 0.8454, Acc.skyscraper: 0.4342, Acc.fireplace: 0.9287, Acc.refrigerator: 0.8357, Acc.grandstand: 0.7413, Acc.path: 0.4241, Acc.stairs: 0.3922, Acc.runway: 0.9228, Acc.case: 0.8022, Acc.pool table: 0.9760, Acc.pillow: 0.7586, Acc.screen door: 0.8506, Acc.stairway: 0.4223, Acc.river: 0.1867, Acc.bridge: 0.8852, Acc.bookcase: 0.6310, Acc.blind: 0.5201, Acc.coffee table: 0.8592, Acc.toilet: 0.9219, Acc.flower: 0.6580, Acc.book: 0.7101, Acc.hill: 0.1386, Acc.bench: 0.7715, Acc.countertop: 0.7786, Acc.stove: 0.8932, Acc.palm: 0.7402, Acc.kitchen island: 0.8684, Acc.computer: 0.7895, Acc.swivel chair: 0.5937, Acc.boat: 0.5298, Acc.bar: 0.6431, Acc.arcade machine: 0.9196, Acc.hovel: 0.4140, Acc.bus: 0.9638, Acc.towel: 0.8061, Acc.light: 0.6998, Acc.truck: 0.5692, Acc.tower: 0.6340, Acc.chandelier: 0.8775, Acc.awning: 0.4550, Acc.streetlight: 0.6233, Acc.booth: 0.6915, Acc.television receiver: 0.8170, Acc.airplane: 0.7941, Acc.dirt track: 0.3451, Acc.apparel: 0.4912, Acc.pole: 0.4765, Acc.land: 0.0773, Acc.bannister: 0.3135, Acc.escalator: 0.2101, Acc.ottoman: 0.7822, Acc.bottle: 0.3538, Acc.buffet: 0.5828, Acc.poster: 0.3464, Acc.stage: 0.2979, Acc.van: 0.6476, Acc.ship: 0.1060, Acc.fountain: 0.2190, Acc.conveyer belt: 0.9087, Acc.canopy: 0.4517, Acc.washer: 0.7385, Acc.plaything: 0.3903, Acc.swimming pool: 0.3765, Acc.stool: 0.7245, Acc.barrel: 0.9768, Acc.basket: 0.4389, Acc.waterfall: 0.9288, Acc.tent: 0.9819, Acc.bag: 0.1914, Acc.minibike: 0.9218, Acc.cradle: 0.9725, Acc.oven: 0.6757, Acc.ball: 0.6776, Acc.food: 0.7047, Acc.step: 0.2480, Acc.tank: 0.6618, Acc.trade name: 0.3481, Acc.microwave: 0.4646, Acc.pot: 0.5658, Acc.animal: 0.5869, Acc.bicycle: 0.7812, Acc.lake: 0.6360, Acc.dishwasher: 0.8448, Acc.screen: 0.9337, Acc.blanket: 0.3630, Acc.sculpture: 0.8679, Acc.hood: 0.9280, Acc.sconce: 0.6798, Acc.vase: 0.6867, Acc.traffic light: 0.6731, Acc.tray: 0.2747, Acc.ashcan: 0.6668, Acc.fan: 0.8494, Acc.pier: 0.4459, Acc.crt screen: 0.1454, Acc.plate: 0.7346, Acc.monitor: 0.1283, Acc.bulletin board: 0.7594, Acc.shower: 0.2302, Acc.radiator: 0.8341, Acc.glass: 0.2237, Acc.clock: 0.6937, Acc.flag: 0.5159 2023-11-12 20:05:52,577 - mmseg - INFO - Iter [154050/160000] lr: 3.719e-06, eta: 0:49:27, time: 0.859, data_time: 0.395, memory: 41146, decode.loss_cls: 0.1139, decode.loss_mask: 0.3855, decode.loss_dice: 0.6159, decode.d0.loss_cls: 1.0760, decode.d0.loss_mask: 0.4139, decode.d0.loss_dice: 0.6616, decode.d1.loss_cls: 0.1775, decode.d1.loss_mask: 0.3952, decode.d1.loss_dice: 0.6387, decode.d2.loss_cls: 0.1402, decode.d2.loss_mask: 0.3893, decode.d2.loss_dice: 0.6228, decode.d3.loss_cls: 0.1319, decode.d3.loss_mask: 0.3874, decode.d3.loss_dice: 0.6162, decode.d4.loss_cls: 0.1256, decode.d4.loss_mask: 0.3854, decode.d4.loss_dice: 0.6153, decode.d5.loss_cls: 0.1249, decode.d5.loss_mask: 0.3846, decode.d5.loss_dice: 0.6130, decode.d6.loss_cls: 0.1185, decode.d6.loss_mask: 0.3846, decode.d6.loss_dice: 0.6093, decode.d7.loss_cls: 0.1169, decode.d7.loss_mask: 0.3837, decode.d7.loss_dice: 0.6103, decode.d8.loss_cls: 0.1142, decode.d8.loss_mask: 0.3841, decode.d8.loss_dice: 0.6126, loss: 12.3490, grad_norm: 40.9312 2023-11-12 20:06:18,748 - mmseg - INFO - Iter [154100/160000] lr: 3.688e-06, eta: 0:49:02, time: 0.523, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1324, decode.loss_mask: 0.3882, decode.loss_dice: 0.6137, decode.d0.loss_cls: 1.1145, decode.d0.loss_mask: 0.4177, decode.d0.loss_dice: 0.6580, decode.d1.loss_cls: 0.1934, decode.d1.loss_mask: 0.3988, decode.d1.loss_dice: 0.6358, decode.d2.loss_cls: 0.1632, decode.d2.loss_mask: 0.3943, decode.d2.loss_dice: 0.6247, decode.d3.loss_cls: 0.1466, decode.d3.loss_mask: 0.3935, decode.d3.loss_dice: 0.6157, decode.d4.loss_cls: 0.1441, decode.d4.loss_mask: 0.3928, decode.d4.loss_dice: 0.6126, decode.d5.loss_cls: 0.1419, decode.d5.loss_mask: 0.3902, decode.d5.loss_dice: 0.6142, decode.d6.loss_cls: 0.1368, decode.d6.loss_mask: 0.3894, decode.d6.loss_dice: 0.6127, decode.d7.loss_cls: 0.1382, decode.d7.loss_mask: 0.3889, decode.d7.loss_dice: 0.6107, decode.d8.loss_cls: 0.1334, decode.d8.loss_mask: 0.3892, decode.d8.loss_dice: 0.6128, loss: 12.5983, grad_norm: 47.9632 2023-11-12 20:06:42,893 - mmseg - INFO - Iter [154150/160000] lr: 3.657e-06, eta: 0:48:37, time: 0.483, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1309, decode.loss_mask: 0.3968, decode.loss_dice: 0.5921, decode.d0.loss_cls: 1.0757, decode.d0.loss_mask: 0.4282, decode.d0.loss_dice: 0.6443, decode.d1.loss_cls: 0.1891, decode.d1.loss_mask: 0.4097, decode.d1.loss_dice: 0.6245, decode.d2.loss_cls: 0.1542, decode.d2.loss_mask: 0.4028, decode.d2.loss_dice: 0.6072, decode.d3.loss_cls: 0.1438, decode.d3.loss_mask: 0.4006, decode.d3.loss_dice: 0.5976, decode.d4.loss_cls: 0.1356, decode.d4.loss_mask: 0.3986, decode.d4.loss_dice: 0.5978, decode.d5.loss_cls: 0.1328, decode.d5.loss_mask: 0.3991, decode.d5.loss_dice: 0.5988, decode.d6.loss_cls: 0.1319, decode.d6.loss_mask: 0.3968, decode.d6.loss_dice: 0.5954, decode.d7.loss_cls: 0.1316, decode.d7.loss_mask: 0.3965, decode.d7.loss_dice: 0.5950, decode.d8.loss_cls: 0.1276, decode.d8.loss_mask: 0.3973, decode.d8.loss_dice: 0.5964, loss: 12.4286, grad_norm: 43.1400 2023-11-12 20:07:06,939 - mmseg - INFO - Iter [154200/160000] lr: 3.626e-06, eta: 0:48:12, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1350, decode.loss_mask: 0.3971, decode.loss_dice: 0.5858, decode.d0.loss_cls: 1.0685, decode.d0.loss_mask: 0.4252, decode.d0.loss_dice: 0.6364, decode.d1.loss_cls: 0.1895, decode.d1.loss_mask: 0.4059, decode.d1.loss_dice: 0.6138, decode.d2.loss_cls: 0.1660, decode.d2.loss_mask: 0.4017, decode.d2.loss_dice: 0.5960, decode.d3.loss_cls: 0.1516, decode.d3.loss_mask: 0.4018, decode.d3.loss_dice: 0.5903, decode.d4.loss_cls: 0.1460, decode.d4.loss_mask: 0.3998, decode.d4.loss_dice: 0.5865, decode.d5.loss_cls: 0.1443, decode.d5.loss_mask: 0.3972, decode.d5.loss_dice: 0.5866, decode.d6.loss_cls: 0.1459, decode.d6.loss_mask: 0.3964, decode.d6.loss_dice: 0.5845, decode.d7.loss_cls: 0.1415, decode.d7.loss_mask: 0.3979, decode.d7.loss_dice: 0.5863, decode.d8.loss_cls: 0.1393, decode.d8.loss_mask: 0.3966, decode.d8.loss_dice: 0.5830, loss: 12.3963, grad_norm: 49.7492 2023-11-12 20:07:31,445 - mmseg - INFO - Iter [154250/160000] lr: 3.594e-06, eta: 0:47:47, time: 0.490, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1236, decode.loss_mask: 0.3926, decode.loss_dice: 0.6081, decode.d0.loss_cls: 1.0651, decode.d0.loss_mask: 0.4195, decode.d0.loss_dice: 0.6536, decode.d1.loss_cls: 0.1733, decode.d1.loss_mask: 0.4065, decode.d1.loss_dice: 0.6320, decode.d2.loss_cls: 0.1442, decode.d2.loss_mask: 0.3970, decode.d2.loss_dice: 0.6157, decode.d3.loss_cls: 0.1367, decode.d3.loss_mask: 0.3962, decode.d3.loss_dice: 0.6124, decode.d4.loss_cls: 0.1256, decode.d4.loss_mask: 0.3938, decode.d4.loss_dice: 0.6134, decode.d5.loss_cls: 0.1258, decode.d5.loss_mask: 0.3928, decode.d5.loss_dice: 0.6110, decode.d6.loss_cls: 0.1228, decode.d6.loss_mask: 0.3935, decode.d6.loss_dice: 0.6089, decode.d7.loss_cls: 0.1237, decode.d7.loss_mask: 0.3926, decode.d7.loss_dice: 0.6090, decode.d8.loss_cls: 0.1226, decode.d8.loss_mask: 0.3938, decode.d8.loss_dice: 0.6085, loss: 12.4145, grad_norm: 43.4519 2023-11-12 20:07:55,506 - mmseg - INFO - Iter [154300/160000] lr: 3.563e-06, eta: 0:47:22, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1310, decode.loss_mask: 0.4002, decode.loss_dice: 0.6095, decode.d0.loss_cls: 1.0786, decode.d0.loss_mask: 0.4287, decode.d0.loss_dice: 0.6576, decode.d1.loss_cls: 0.1831, decode.d1.loss_mask: 0.4088, decode.d1.loss_dice: 0.6324, decode.d2.loss_cls: 0.1512, decode.d2.loss_mask: 0.4065, decode.d2.loss_dice: 0.6229, decode.d3.loss_cls: 0.1383, decode.d3.loss_mask: 0.4035, decode.d3.loss_dice: 0.6148, decode.d4.loss_cls: 0.1320, decode.d4.loss_mask: 0.4028, decode.d4.loss_dice: 0.6146, decode.d5.loss_cls: 0.1344, decode.d5.loss_mask: 0.4016, decode.d5.loss_dice: 0.6150, decode.d6.loss_cls: 0.1323, decode.d6.loss_mask: 0.3994, decode.d6.loss_dice: 0.6100, decode.d7.loss_cls: 0.1282, decode.d7.loss_mask: 0.3997, decode.d7.loss_dice: 0.6112, decode.d8.loss_cls: 0.1240, decode.d8.loss_mask: 0.3999, decode.d8.loss_dice: 0.6123, loss: 12.5846, grad_norm: 42.5268 2023-11-12 20:08:19,372 - mmseg - INFO - Iter [154350/160000] lr: 3.532e-06, eta: 0:46:57, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1277, decode.loss_mask: 0.4097, decode.loss_dice: 0.6209, decode.d0.loss_cls: 1.0761, decode.d0.loss_mask: 0.4390, decode.d0.loss_dice: 0.6665, decode.d1.loss_cls: 0.1898, decode.d1.loss_mask: 0.4194, decode.d1.loss_dice: 0.6426, decode.d2.loss_cls: 0.1637, decode.d2.loss_mask: 0.4157, decode.d2.loss_dice: 0.6309, decode.d3.loss_cls: 0.1449, decode.d3.loss_mask: 0.4138, decode.d3.loss_dice: 0.6254, decode.d4.loss_cls: 0.1399, decode.d4.loss_mask: 0.4121, decode.d4.loss_dice: 0.6225, decode.d5.loss_cls: 0.1339, decode.d5.loss_mask: 0.4095, decode.d5.loss_dice: 0.6230, decode.d6.loss_cls: 0.1332, decode.d6.loss_mask: 0.4109, decode.d6.loss_dice: 0.6196, decode.d7.loss_cls: 0.1286, decode.d7.loss_mask: 0.4114, decode.d7.loss_dice: 0.6188, decode.d8.loss_cls: 0.1305, decode.d8.loss_mask: 0.4104, decode.d8.loss_dice: 0.6189, loss: 12.8090, grad_norm: 44.8033 2023-11-12 20:08:43,224 - mmseg - INFO - Iter [154400/160000] lr: 3.501e-06, eta: 0:46:32, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1320, decode.loss_mask: 0.3981, decode.loss_dice: 0.6073, decode.d0.loss_cls: 1.0848, decode.d0.loss_mask: 0.4265, decode.d0.loss_dice: 0.6564, decode.d1.loss_cls: 0.1922, decode.d1.loss_mask: 0.4091, decode.d1.loss_dice: 0.6325, decode.d2.loss_cls: 0.1587, decode.d2.loss_mask: 0.4049, decode.d2.loss_dice: 0.6197, decode.d3.loss_cls: 0.1442, decode.d3.loss_mask: 0.4017, decode.d3.loss_dice: 0.6068, decode.d4.loss_cls: 0.1397, decode.d4.loss_mask: 0.4000, decode.d4.loss_dice: 0.6070, decode.d5.loss_cls: 0.1367, decode.d5.loss_mask: 0.3998, decode.d5.loss_dice: 0.6099, decode.d6.loss_cls: 0.1347, decode.d6.loss_mask: 0.3994, decode.d6.loss_dice: 0.6090, decode.d7.loss_cls: 0.1327, decode.d7.loss_mask: 0.3985, decode.d7.loss_dice: 0.6038, decode.d8.loss_cls: 0.1309, decode.d8.loss_mask: 0.3979, decode.d8.loss_dice: 0.6077, loss: 12.5824, grad_norm: 45.4083 2023-11-12 20:09:07,146 - mmseg - INFO - Iter [154450/160000] lr: 3.469e-06, eta: 0:46:07, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1238, decode.loss_mask: 0.3877, decode.loss_dice: 0.5843, decode.d0.loss_cls: 1.0616, decode.d0.loss_mask: 0.4147, decode.d0.loss_dice: 0.6204, decode.d1.loss_cls: 0.1836, decode.d1.loss_mask: 0.3947, decode.d1.loss_dice: 0.6017, decode.d2.loss_cls: 0.1525, decode.d2.loss_mask: 0.3915, decode.d2.loss_dice: 0.5907, decode.d3.loss_cls: 0.1389, decode.d3.loss_mask: 0.3901, decode.d3.loss_dice: 0.5829, decode.d4.loss_cls: 0.1351, decode.d4.loss_mask: 0.3906, decode.d4.loss_dice: 0.5860, decode.d5.loss_cls: 0.1270, decode.d5.loss_mask: 0.3895, decode.d5.loss_dice: 0.5835, decode.d6.loss_cls: 0.1285, decode.d6.loss_mask: 0.3878, decode.d6.loss_dice: 0.5812, decode.d7.loss_cls: 0.1263, decode.d7.loss_mask: 0.3870, decode.d7.loss_dice: 0.5825, decode.d8.loss_cls: 0.1236, decode.d8.loss_mask: 0.3888, decode.d8.loss_dice: 0.5839, loss: 12.1204, grad_norm: 42.6508 2023-11-12 20:09:31,014 - mmseg - INFO - Iter [154500/160000] lr: 3.438e-06, eta: 0:45:42, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1291, decode.loss_mask: 0.3945, decode.loss_dice: 0.5963, decode.d0.loss_cls: 1.0975, decode.d0.loss_mask: 0.4223, decode.d0.loss_dice: 0.6449, decode.d1.loss_cls: 0.1829, decode.d1.loss_mask: 0.4060, decode.d1.loss_dice: 0.6262, decode.d2.loss_cls: 0.1540, decode.d2.loss_mask: 0.4005, decode.d2.loss_dice: 0.6143, decode.d3.loss_cls: 0.1440, decode.d3.loss_mask: 0.3957, decode.d3.loss_dice: 0.6025, decode.d4.loss_cls: 0.1353, decode.d4.loss_mask: 0.3962, decode.d4.loss_dice: 0.5985, decode.d5.loss_cls: 0.1370, decode.d5.loss_mask: 0.3948, decode.d5.loss_dice: 0.5971, decode.d6.loss_cls: 0.1346, decode.d6.loss_mask: 0.3952, decode.d6.loss_dice: 0.5985, decode.d7.loss_cls: 0.1259, decode.d7.loss_mask: 0.3955, decode.d7.loss_dice: 0.6017, decode.d8.loss_cls: 0.1280, decode.d8.loss_mask: 0.3942, decode.d8.loss_dice: 0.5965, loss: 12.4398, grad_norm: 47.2402 2023-11-12 20:09:55,103 - mmseg - INFO - Iter [154550/160000] lr: 3.407e-06, eta: 0:45:17, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1133, decode.loss_mask: 0.4076, decode.loss_dice: 0.6090, decode.d0.loss_cls: 1.0697, decode.d0.loss_mask: 0.4344, decode.d0.loss_dice: 0.6494, decode.d1.loss_cls: 0.1758, decode.d1.loss_mask: 0.4174, decode.d1.loss_dice: 0.6298, decode.d2.loss_cls: 0.1477, decode.d2.loss_mask: 0.4127, decode.d2.loss_dice: 0.6226, decode.d3.loss_cls: 0.1363, decode.d3.loss_mask: 0.4104, decode.d3.loss_dice: 0.6156, decode.d4.loss_cls: 0.1292, decode.d4.loss_mask: 0.4091, decode.d4.loss_dice: 0.6090, decode.d5.loss_cls: 0.1262, decode.d5.loss_mask: 0.4077, decode.d5.loss_dice: 0.6122, decode.d6.loss_cls: 0.1250, decode.d6.loss_mask: 0.4087, decode.d6.loss_dice: 0.6116, decode.d7.loss_cls: 0.1188, decode.d7.loss_mask: 0.4077, decode.d7.loss_dice: 0.6088, decode.d8.loss_cls: 0.1194, decode.d8.loss_mask: 0.4076, decode.d8.loss_dice: 0.6107, loss: 12.5635, grad_norm: 45.9535 2023-11-12 20:10:18,889 - mmseg - INFO - Iter [154600/160000] lr: 3.376e-06, eta: 0:44:52, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1298, decode.loss_mask: 0.3921, decode.loss_dice: 0.5959, decode.d0.loss_cls: 1.0818, decode.d0.loss_mask: 0.4257, decode.d0.loss_dice: 0.6433, decode.d1.loss_cls: 0.1867, decode.d1.loss_mask: 0.4054, decode.d1.loss_dice: 0.6153, decode.d2.loss_cls: 0.1581, decode.d2.loss_mask: 0.3988, decode.d2.loss_dice: 0.6077, decode.d3.loss_cls: 0.1489, decode.d3.loss_mask: 0.3951, decode.d3.loss_dice: 0.6004, decode.d4.loss_cls: 0.1414, decode.d4.loss_mask: 0.3936, decode.d4.loss_dice: 0.5968, decode.d5.loss_cls: 0.1325, decode.d5.loss_mask: 0.3935, decode.d5.loss_dice: 0.5951, decode.d6.loss_cls: 0.1299, decode.d6.loss_mask: 0.3927, decode.d6.loss_dice: 0.5940, decode.d7.loss_cls: 0.1310, decode.d7.loss_mask: 0.3927, decode.d7.loss_dice: 0.5940, decode.d8.loss_cls: 0.1290, decode.d8.loss_mask: 0.3934, decode.d8.loss_dice: 0.5915, loss: 12.3861, grad_norm: 45.9429 2023-11-12 20:10:42,776 - mmseg - INFO - Iter [154650/160000] lr: 3.344e-06, eta: 0:44:28, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1247, decode.loss_mask: 0.3926, decode.loss_dice: 0.6039, decode.d0.loss_cls: 1.1128, decode.d0.loss_mask: 0.4233, decode.d0.loss_dice: 0.6530, decode.d1.loss_cls: 0.1829, decode.d1.loss_mask: 0.4064, decode.d1.loss_dice: 0.6318, decode.d2.loss_cls: 0.1558, decode.d2.loss_mask: 0.3985, decode.d2.loss_dice: 0.6132, decode.d3.loss_cls: 0.1431, decode.d3.loss_mask: 0.3943, decode.d3.loss_dice: 0.6048, decode.d4.loss_cls: 0.1375, decode.d4.loss_mask: 0.3933, decode.d4.loss_dice: 0.6071, decode.d5.loss_cls: 0.1336, decode.d5.loss_mask: 0.3930, decode.d5.loss_dice: 0.6058, decode.d6.loss_cls: 0.1324, decode.d6.loss_mask: 0.3925, decode.d6.loss_dice: 0.6013, decode.d7.loss_cls: 0.1310, decode.d7.loss_mask: 0.3927, decode.d7.loss_dice: 0.6026, decode.d8.loss_cls: 0.1230, decode.d8.loss_mask: 0.3922, decode.d8.loss_dice: 0.6035, loss: 12.4825, grad_norm: 47.6639 2023-11-12 20:11:06,437 - mmseg - INFO - Iter [154700/160000] lr: 3.313e-06, eta: 0:44:03, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1347, decode.loss_mask: 0.3995, decode.loss_dice: 0.6138, decode.d0.loss_cls: 1.0920, decode.d0.loss_mask: 0.4282, decode.d0.loss_dice: 0.6670, decode.d1.loss_cls: 0.1921, decode.d1.loss_mask: 0.4115, decode.d1.loss_dice: 0.6492, decode.d2.loss_cls: 0.1645, decode.d2.loss_mask: 0.4029, decode.d2.loss_dice: 0.6328, decode.d3.loss_cls: 0.1461, decode.d3.loss_mask: 0.4007, decode.d3.loss_dice: 0.6220, decode.d4.loss_cls: 0.1453, decode.d4.loss_mask: 0.4000, decode.d4.loss_dice: 0.6205, decode.d5.loss_cls: 0.1445, decode.d5.loss_mask: 0.3981, decode.d5.loss_dice: 0.6208, decode.d6.loss_cls: 0.1416, decode.d6.loss_mask: 0.3995, decode.d6.loss_dice: 0.6191, decode.d7.loss_cls: 0.1357, decode.d7.loss_mask: 0.3984, decode.d7.loss_dice: 0.6141, decode.d8.loss_cls: 0.1341, decode.d8.loss_mask: 0.3989, decode.d8.loss_dice: 0.6176, loss: 12.7452, grad_norm: 44.6632 2023-11-12 20:11:30,324 - mmseg - INFO - Iter [154750/160000] lr: 3.282e-06, eta: 0:43:38, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1182, decode.loss_mask: 0.4082, decode.loss_dice: 0.6019, decode.d0.loss_cls: 1.0493, decode.d0.loss_mask: 0.4360, decode.d0.loss_dice: 0.6462, decode.d1.loss_cls: 0.1689, decode.d1.loss_mask: 0.4198, decode.d1.loss_dice: 0.6322, decode.d2.loss_cls: 0.1474, decode.d2.loss_mask: 0.4134, decode.d2.loss_dice: 0.6164, decode.d3.loss_cls: 0.1354, decode.d3.loss_mask: 0.4090, decode.d3.loss_dice: 0.6053, decode.d4.loss_cls: 0.1258, decode.d4.loss_mask: 0.4085, decode.d4.loss_dice: 0.6022, decode.d5.loss_cls: 0.1236, decode.d5.loss_mask: 0.4076, decode.d5.loss_dice: 0.6055, decode.d6.loss_cls: 0.1214, decode.d6.loss_mask: 0.4075, decode.d6.loss_dice: 0.6012, decode.d7.loss_cls: 0.1178, decode.d7.loss_mask: 0.4083, decode.d7.loss_dice: 0.6016, decode.d8.loss_cls: 0.1164, decode.d8.loss_mask: 0.4072, decode.d8.loss_dice: 0.6010, loss: 12.4634, grad_norm: 47.8417 2023-11-12 20:11:54,066 - mmseg - INFO - Iter [154800/160000] lr: 3.251e-06, eta: 0:43:13, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1288, decode.loss_mask: 0.3980, decode.loss_dice: 0.6128, decode.d0.loss_cls: 1.0662, decode.d0.loss_mask: 0.4277, decode.d0.loss_dice: 0.6624, decode.d1.loss_cls: 0.1986, decode.d1.loss_mask: 0.4068, decode.d1.loss_dice: 0.6366, decode.d2.loss_cls: 0.1551, decode.d2.loss_mask: 0.4043, decode.d2.loss_dice: 0.6301, decode.d3.loss_cls: 0.1497, decode.d3.loss_mask: 0.4016, decode.d3.loss_dice: 0.6153, decode.d4.loss_cls: 0.1339, decode.d4.loss_mask: 0.4001, decode.d4.loss_dice: 0.6171, decode.d5.loss_cls: 0.1316, decode.d5.loss_mask: 0.4004, decode.d5.loss_dice: 0.6137, decode.d6.loss_cls: 0.1304, decode.d6.loss_mask: 0.3990, decode.d6.loss_dice: 0.6110, decode.d7.loss_cls: 0.1292, decode.d7.loss_mask: 0.3984, decode.d7.loss_dice: 0.6105, decode.d8.loss_cls: 0.1273, decode.d8.loss_mask: 0.3987, decode.d8.loss_dice: 0.6100, loss: 12.6056, grad_norm: 45.9690 2023-11-12 20:12:17,877 - mmseg - INFO - Iter [154850/160000] lr: 3.219e-06, eta: 0:42:48, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1302, decode.loss_mask: 0.4031, decode.loss_dice: 0.6203, decode.d0.loss_cls: 1.0788, decode.d0.loss_mask: 0.4362, decode.d0.loss_dice: 0.6732, decode.d1.loss_cls: 0.1852, decode.d1.loss_mask: 0.4143, decode.d1.loss_dice: 0.6425, decode.d2.loss_cls: 0.1543, decode.d2.loss_mask: 0.4078, decode.d2.loss_dice: 0.6286, decode.d3.loss_cls: 0.1500, decode.d3.loss_mask: 0.4055, decode.d3.loss_dice: 0.6229, decode.d4.loss_cls: 0.1411, decode.d4.loss_mask: 0.4051, decode.d4.loss_dice: 0.6236, decode.d5.loss_cls: 0.1360, decode.d5.loss_mask: 0.4045, decode.d5.loss_dice: 0.6199, decode.d6.loss_cls: 0.1326, decode.d6.loss_mask: 0.4042, decode.d6.loss_dice: 0.6204, decode.d7.loss_cls: 0.1328, decode.d7.loss_mask: 0.4033, decode.d7.loss_dice: 0.6179, decode.d8.loss_cls: 0.1293, decode.d8.loss_mask: 0.4039, decode.d8.loss_dice: 0.6181, loss: 12.7460, grad_norm: 46.6731 2023-11-12 20:12:41,641 - mmseg - INFO - Iter [154900/160000] lr: 3.188e-06, eta: 0:42:23, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1302, decode.loss_mask: 0.3950, decode.loss_dice: 0.6095, decode.d0.loss_cls: 1.0996, decode.d0.loss_mask: 0.4241, decode.d0.loss_dice: 0.6563, decode.d1.loss_cls: 0.1839, decode.d1.loss_mask: 0.4070, decode.d1.loss_dice: 0.6349, decode.d2.loss_cls: 0.1620, decode.d2.loss_mask: 0.4002, decode.d2.loss_dice: 0.6208, decode.d3.loss_cls: 0.1509, decode.d3.loss_mask: 0.3972, decode.d3.loss_dice: 0.6113, decode.d4.loss_cls: 0.1406, decode.d4.loss_mask: 0.3966, decode.d4.loss_dice: 0.6110, decode.d5.loss_cls: 0.1394, decode.d5.loss_mask: 0.3956, decode.d5.loss_dice: 0.6130, decode.d6.loss_cls: 0.1386, decode.d6.loss_mask: 0.3956, decode.d6.loss_dice: 0.6077, decode.d7.loss_cls: 0.1327, decode.d7.loss_mask: 0.3954, decode.d7.loss_dice: 0.6109, decode.d8.loss_cls: 0.1301, decode.d8.loss_mask: 0.3949, decode.d8.loss_dice: 0.6086, loss: 12.5936, grad_norm: 46.5268 2023-11-12 20:13:05,572 - mmseg - INFO - Iter [154950/160000] lr: 3.157e-06, eta: 0:41:58, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1278, decode.loss_mask: 0.3896, decode.loss_dice: 0.6084, decode.d0.loss_cls: 1.0597, decode.d0.loss_mask: 0.4183, decode.d0.loss_dice: 0.6586, decode.d1.loss_cls: 0.1835, decode.d1.loss_mask: 0.4013, decode.d1.loss_dice: 0.6376, decode.d2.loss_cls: 0.1576, decode.d2.loss_mask: 0.3952, decode.d2.loss_dice: 0.6224, decode.d3.loss_cls: 0.1420, decode.d3.loss_mask: 0.3922, decode.d3.loss_dice: 0.6122, decode.d4.loss_cls: 0.1426, decode.d4.loss_mask: 0.3919, decode.d4.loss_dice: 0.6129, decode.d5.loss_cls: 0.1332, decode.d5.loss_mask: 0.3918, decode.d5.loss_dice: 0.6105, decode.d6.loss_cls: 0.1272, decode.d6.loss_mask: 0.3909, decode.d6.loss_dice: 0.6079, decode.d7.loss_cls: 0.1350, decode.d7.loss_mask: 0.3903, decode.d7.loss_dice: 0.6070, decode.d8.loss_cls: 0.1303, decode.d8.loss_mask: 0.3897, decode.d8.loss_dice: 0.6072, loss: 12.4748, grad_norm: 43.2352 2023-11-12 20:13:29,522 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 20:13:29,523 - mmseg - INFO - Iter [155000/160000] lr: 3.126e-06, eta: 0:41:33, time: 0.481, data_time: 0.015, memory: 41146, decode.loss_cls: 0.1378, decode.loss_mask: 0.3916, decode.loss_dice: 0.6109, decode.d0.loss_cls: 1.0824, decode.d0.loss_mask: 0.4192, decode.d0.loss_dice: 0.6582, decode.d1.loss_cls: 0.1939, decode.d1.loss_mask: 0.3992, decode.d1.loss_dice: 0.6266, decode.d2.loss_cls: 0.1648, decode.d2.loss_mask: 0.3956, decode.d2.loss_dice: 0.6200, decode.d3.loss_cls: 0.1552, decode.d3.loss_mask: 0.3942, decode.d3.loss_dice: 0.6131, decode.d4.loss_cls: 0.1464, decode.d4.loss_mask: 0.3915, decode.d4.loss_dice: 0.6107, decode.d5.loss_cls: 0.1428, decode.d5.loss_mask: 0.3917, decode.d5.loss_dice: 0.6106, decode.d6.loss_cls: 0.1409, decode.d6.loss_mask: 0.3911, decode.d6.loss_dice: 0.6098, decode.d7.loss_cls: 0.1386, decode.d7.loss_mask: 0.3921, decode.d7.loss_dice: 0.6079, decode.d8.loss_cls: 0.1357, decode.d8.loss_mask: 0.3928, decode.d8.loss_dice: 0.6101, loss: 12.5754, grad_norm: 41.6149 2023-11-12 20:13:53,281 - mmseg - INFO - Iter [155050/160000] lr: 3.094e-06, eta: 0:41:08, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1383, decode.loss_mask: 0.4164, decode.loss_dice: 0.6234, decode.d0.loss_cls: 1.0760, decode.d0.loss_mask: 0.4464, decode.d0.loss_dice: 0.6722, decode.d1.loss_cls: 0.1906, decode.d1.loss_mask: 0.4282, decode.d1.loss_dice: 0.6492, decode.d2.loss_cls: 0.1711, decode.d2.loss_mask: 0.4232, decode.d2.loss_dice: 0.6325, decode.d3.loss_cls: 0.1551, decode.d3.loss_mask: 0.4197, decode.d3.loss_dice: 0.6293, decode.d4.loss_cls: 0.1524, decode.d4.loss_mask: 0.4177, decode.d4.loss_dice: 0.6243, decode.d5.loss_cls: 0.1497, decode.d5.loss_mask: 0.4171, decode.d5.loss_dice: 0.6238, decode.d6.loss_cls: 0.1440, decode.d6.loss_mask: 0.4162, decode.d6.loss_dice: 0.6234, decode.d7.loss_cls: 0.1431, decode.d7.loss_mask: 0.4167, decode.d7.loss_dice: 0.6228, decode.d8.loss_cls: 0.1387, decode.d8.loss_mask: 0.4167, decode.d8.loss_dice: 0.6244, loss: 13.0025, grad_norm: 42.4862 2023-11-12 20:14:16,979 - mmseg - INFO - Iter [155100/160000] lr: 3.063e-06, eta: 0:40:43, time: 0.474, data_time: 0.011, memory: 41146, decode.loss_cls: 0.1190, decode.loss_mask: 0.3946, decode.loss_dice: 0.5904, decode.d0.loss_cls: 1.0765, decode.d0.loss_mask: 0.4240, decode.d0.loss_dice: 0.6368, decode.d1.loss_cls: 0.1731, decode.d1.loss_mask: 0.4066, decode.d1.loss_dice: 0.6134, decode.d2.loss_cls: 0.1428, decode.d2.loss_mask: 0.4023, decode.d2.loss_dice: 0.6022, decode.d3.loss_cls: 0.1370, decode.d3.loss_mask: 0.3977, decode.d3.loss_dice: 0.5945, decode.d4.loss_cls: 0.1293, decode.d4.loss_mask: 0.3963, decode.d4.loss_dice: 0.5926, decode.d5.loss_cls: 0.1234, decode.d5.loss_mask: 0.3958, decode.d5.loss_dice: 0.5943, decode.d6.loss_cls: 0.1254, decode.d6.loss_mask: 0.3954, decode.d6.loss_dice: 0.5922, decode.d7.loss_cls: 0.1229, decode.d7.loss_mask: 0.3950, decode.d7.loss_dice: 0.5906, decode.d8.loss_cls: 0.1197, decode.d8.loss_mask: 0.3946, decode.d8.loss_dice: 0.5896, loss: 12.2680, grad_norm: 43.1902 2023-11-12 20:14:40,575 - mmseg - INFO - Iter [155150/160000] lr: 3.032e-06, eta: 0:40:18, time: 0.472, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1233, decode.loss_mask: 0.4042, decode.loss_dice: 0.5985, decode.d0.loss_cls: 1.0703, decode.d0.loss_mask: 0.4346, decode.d0.loss_dice: 0.6504, decode.d1.loss_cls: 0.1834, decode.d1.loss_mask: 0.4160, decode.d1.loss_dice: 0.6242, decode.d2.loss_cls: 0.1523, decode.d2.loss_mask: 0.4099, decode.d2.loss_dice: 0.6114, decode.d3.loss_cls: 0.1381, decode.d3.loss_mask: 0.4053, decode.d3.loss_dice: 0.6015, decode.d4.loss_cls: 0.1320, decode.d4.loss_mask: 0.4046, decode.d4.loss_dice: 0.6023, decode.d5.loss_cls: 0.1298, decode.d5.loss_mask: 0.4038, decode.d5.loss_dice: 0.6023, decode.d6.loss_cls: 0.1294, decode.d6.loss_mask: 0.4027, decode.d6.loss_dice: 0.5952, decode.d7.loss_cls: 0.1259, decode.d7.loss_mask: 0.4026, decode.d7.loss_dice: 0.5959, decode.d8.loss_cls: 0.1223, decode.d8.loss_mask: 0.4036, decode.d8.loss_dice: 0.5984, loss: 12.4741, grad_norm: 43.8590 2023-11-12 20:15:04,420 - mmseg - INFO - Iter [155200/160000] lr: 3.001e-06, eta: 0:39:53, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1286, decode.loss_mask: 0.4014, decode.loss_dice: 0.6168, decode.d0.loss_cls: 1.0766, decode.d0.loss_mask: 0.4259, decode.d0.loss_dice: 0.6593, decode.d1.loss_cls: 0.1927, decode.d1.loss_mask: 0.4115, decode.d1.loss_dice: 0.6415, decode.d2.loss_cls: 0.1564, decode.d2.loss_mask: 0.4047, decode.d2.loss_dice: 0.6310, decode.d3.loss_cls: 0.1490, decode.d3.loss_mask: 0.4025, decode.d3.loss_dice: 0.6207, decode.d4.loss_cls: 0.1404, decode.d4.loss_mask: 0.4006, decode.d4.loss_dice: 0.6194, decode.d5.loss_cls: 0.1356, decode.d5.loss_mask: 0.4012, decode.d5.loss_dice: 0.6181, decode.d6.loss_cls: 0.1382, decode.d6.loss_mask: 0.4011, decode.d6.loss_dice: 0.6141, decode.d7.loss_cls: 0.1302, decode.d7.loss_mask: 0.4021, decode.d7.loss_dice: 0.6159, decode.d8.loss_cls: 0.1289, decode.d8.loss_mask: 0.4007, decode.d8.loss_dice: 0.6166, loss: 12.6817, grad_norm: 46.1310 2023-11-12 20:15:28,228 - mmseg - INFO - Iter [155250/160000] lr: 2.969e-06, eta: 0:39:28, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1292, decode.loss_mask: 0.3800, decode.loss_dice: 0.5923, decode.d0.loss_cls: 1.0867, decode.d0.loss_mask: 0.4079, decode.d0.loss_dice: 0.6410, decode.d1.loss_cls: 0.1929, decode.d1.loss_mask: 0.3910, decode.d1.loss_dice: 0.6178, decode.d2.loss_cls: 0.1538, decode.d2.loss_mask: 0.3845, decode.d2.loss_dice: 0.6071, decode.d3.loss_cls: 0.1465, decode.d3.loss_mask: 0.3820, decode.d3.loss_dice: 0.5955, decode.d4.loss_cls: 0.1382, decode.d4.loss_mask: 0.3824, decode.d4.loss_dice: 0.5989, decode.d5.loss_cls: 0.1333, decode.d5.loss_mask: 0.3821, decode.d5.loss_dice: 0.5968, decode.d6.loss_cls: 0.1357, decode.d6.loss_mask: 0.3810, decode.d6.loss_dice: 0.5895, decode.d7.loss_cls: 0.1363, decode.d7.loss_mask: 0.3803, decode.d7.loss_dice: 0.5910, decode.d8.loss_cls: 0.1317, decode.d8.loss_mask: 0.3798, decode.d8.loss_dice: 0.5927, loss: 12.2580, grad_norm: 40.4221 2023-11-12 20:15:51,976 - mmseg - INFO - Iter [155300/160000] lr: 2.938e-06, eta: 0:39:03, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1297, decode.loss_mask: 0.3848, decode.loss_dice: 0.5894, decode.d0.loss_cls: 1.0966, decode.d0.loss_mask: 0.4158, decode.d0.loss_dice: 0.6455, decode.d1.loss_cls: 0.1859, decode.d1.loss_mask: 0.3971, decode.d1.loss_dice: 0.6187, decode.d2.loss_cls: 0.1587, decode.d2.loss_mask: 0.3914, decode.d2.loss_dice: 0.6059, decode.d3.loss_cls: 0.1483, decode.d3.loss_mask: 0.3883, decode.d3.loss_dice: 0.5961, decode.d4.loss_cls: 0.1417, decode.d4.loss_mask: 0.3865, decode.d4.loss_dice: 0.5951, decode.d5.loss_cls: 0.1408, decode.d5.loss_mask: 0.3859, decode.d5.loss_dice: 0.5925, decode.d6.loss_cls: 0.1396, decode.d6.loss_mask: 0.3858, decode.d6.loss_dice: 0.5881, decode.d7.loss_cls: 0.1347, decode.d7.loss_mask: 0.3846, decode.d7.loss_dice: 0.5898, decode.d8.loss_cls: 0.1327, decode.d8.loss_mask: 0.3853, decode.d8.loss_dice: 0.5931, loss: 12.3285, grad_norm: 41.8719 2023-11-12 20:16:18,121 - mmseg - INFO - Iter [155350/160000] lr: 2.907e-06, eta: 0:38:38, time: 0.523, data_time: 0.060, memory: 41146, decode.loss_cls: 0.1418, decode.loss_mask: 0.3924, decode.loss_dice: 0.6086, decode.d0.loss_cls: 1.1027, decode.d0.loss_mask: 0.4219, decode.d0.loss_dice: 0.6494, decode.d1.loss_cls: 0.2008, decode.d1.loss_mask: 0.4007, decode.d1.loss_dice: 0.6332, decode.d2.loss_cls: 0.1725, decode.d2.loss_mask: 0.3958, decode.d2.loss_dice: 0.6236, decode.d3.loss_cls: 0.1603, decode.d3.loss_mask: 0.3947, decode.d3.loss_dice: 0.6161, decode.d4.loss_cls: 0.1541, decode.d4.loss_mask: 0.3929, decode.d4.loss_dice: 0.6177, decode.d5.loss_cls: 0.1507, decode.d5.loss_mask: 0.3928, decode.d5.loss_dice: 0.6124, decode.d6.loss_cls: 0.1497, decode.d6.loss_mask: 0.3922, decode.d6.loss_dice: 0.6067, decode.d7.loss_cls: 0.1448, decode.d7.loss_mask: 0.3917, decode.d7.loss_dice: 0.6106, decode.d8.loss_cls: 0.1401, decode.d8.loss_mask: 0.3918, decode.d8.loss_dice: 0.6096, loss: 12.6724, grad_norm: 42.2538 2023-11-12 20:16:42,200 - mmseg - INFO - Iter [155400/160000] lr: 2.876e-06, eta: 0:38:13, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1338, decode.loss_mask: 0.4109, decode.loss_dice: 0.6114, decode.d0.loss_cls: 1.1020, decode.d0.loss_mask: 0.4412, decode.d0.loss_dice: 0.6621, decode.d1.loss_cls: 0.1877, decode.d1.loss_mask: 0.4205, decode.d1.loss_dice: 0.6399, decode.d2.loss_cls: 0.1643, decode.d2.loss_mask: 0.4147, decode.d2.loss_dice: 0.6254, decode.d3.loss_cls: 0.1490, decode.d3.loss_mask: 0.4140, decode.d3.loss_dice: 0.6152, decode.d4.loss_cls: 0.1419, decode.d4.loss_mask: 0.4115, decode.d4.loss_dice: 0.6155, decode.d5.loss_cls: 0.1384, decode.d5.loss_mask: 0.4113, decode.d5.loss_dice: 0.6165, decode.d6.loss_cls: 0.1395, decode.d6.loss_mask: 0.4109, decode.d6.loss_dice: 0.6123, decode.d7.loss_cls: 0.1321, decode.d7.loss_mask: 0.4109, decode.d7.loss_dice: 0.6174, decode.d8.loss_cls: 0.1292, decode.d8.loss_mask: 0.4104, decode.d8.loss_dice: 0.6160, loss: 12.8058, grad_norm: 46.3127 2023-11-12 20:17:06,049 - mmseg - INFO - Iter [155450/160000] lr: 2.844e-06, eta: 0:37:48, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1334, decode.loss_mask: 0.3975, decode.loss_dice: 0.6057, decode.d0.loss_cls: 1.0765, decode.d0.loss_mask: 0.4258, decode.d0.loss_dice: 0.6516, decode.d1.loss_cls: 0.1808, decode.d1.loss_mask: 0.4093, decode.d1.loss_dice: 0.6294, decode.d2.loss_cls: 0.1585, decode.d2.loss_mask: 0.4018, decode.d2.loss_dice: 0.6144, decode.d3.loss_cls: 0.1464, decode.d3.loss_mask: 0.4005, decode.d3.loss_dice: 0.6088, decode.d4.loss_cls: 0.1430, decode.d4.loss_mask: 0.3995, decode.d4.loss_dice: 0.6064, decode.d5.loss_cls: 0.1406, decode.d5.loss_mask: 0.3974, decode.d5.loss_dice: 0.6022, decode.d6.loss_cls: 0.1370, decode.d6.loss_mask: 0.3980, decode.d6.loss_dice: 0.6019, decode.d7.loss_cls: 0.1370, decode.d7.loss_mask: 0.3970, decode.d7.loss_dice: 0.6027, decode.d8.loss_cls: 0.1342, decode.d8.loss_mask: 0.3975, decode.d8.loss_dice: 0.6062, loss: 12.5409, grad_norm: 44.8766 2023-11-12 20:17:29,781 - mmseg - INFO - Iter [155500/160000] lr: 2.813e-06, eta: 0:37:23, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1329, decode.loss_mask: 0.3938, decode.loss_dice: 0.6098, decode.d0.loss_cls: 1.1071, decode.d0.loss_mask: 0.4222, decode.d0.loss_dice: 0.6550, decode.d1.loss_cls: 0.1858, decode.d1.loss_mask: 0.4046, decode.d1.loss_dice: 0.6301, decode.d2.loss_cls: 0.1612, decode.d2.loss_mask: 0.3999, decode.d2.loss_dice: 0.6205, decode.d3.loss_cls: 0.1465, decode.d3.loss_mask: 0.3984, decode.d3.loss_dice: 0.6134, decode.d4.loss_cls: 0.1379, decode.d4.loss_mask: 0.3965, decode.d4.loss_dice: 0.6123, decode.d5.loss_cls: 0.1372, decode.d5.loss_mask: 0.3959, decode.d5.loss_dice: 0.6097, decode.d6.loss_cls: 0.1367, decode.d6.loss_mask: 0.3959, decode.d6.loss_dice: 0.6110, decode.d7.loss_cls: 0.1321, decode.d7.loss_mask: 0.3963, decode.d7.loss_dice: 0.6106, decode.d8.loss_cls: 0.1343, decode.d8.loss_mask: 0.3952, decode.d8.loss_dice: 0.6093, loss: 12.5921, grad_norm: 46.4145 2023-11-12 20:17:53,642 - mmseg - INFO - Iter [155550/160000] lr: 2.782e-06, eta: 0:36:58, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1164, decode.loss_mask: 0.3747, decode.loss_dice: 0.5792, decode.d0.loss_cls: 1.0420, decode.d0.loss_mask: 0.4015, decode.d0.loss_dice: 0.6274, decode.d1.loss_cls: 0.1698, decode.d1.loss_mask: 0.3838, decode.d1.loss_dice: 0.6050, decode.d2.loss_cls: 0.1430, decode.d2.loss_mask: 0.3788, decode.d2.loss_dice: 0.5886, decode.d3.loss_cls: 0.1346, decode.d3.loss_mask: 0.3765, decode.d3.loss_dice: 0.5817, decode.d4.loss_cls: 0.1262, decode.d4.loss_mask: 0.3760, decode.d4.loss_dice: 0.5804, decode.d5.loss_cls: 0.1234, decode.d5.loss_mask: 0.3756, decode.d5.loss_dice: 0.5805, decode.d6.loss_cls: 0.1227, decode.d6.loss_mask: 0.3754, decode.d6.loss_dice: 0.5781, decode.d7.loss_cls: 0.1172, decode.d7.loss_mask: 0.3750, decode.d7.loss_dice: 0.5838, decode.d8.loss_cls: 0.1190, decode.d8.loss_mask: 0.3747, decode.d8.loss_dice: 0.5807, loss: 11.8917, grad_norm: 44.1458 2023-11-12 20:18:17,638 - mmseg - INFO - Iter [155600/160000] lr: 2.751e-06, eta: 0:36:33, time: 0.480, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1291, decode.loss_mask: 0.3941, decode.loss_dice: 0.6196, decode.d0.loss_cls: 1.0757, decode.d0.loss_mask: 0.4221, decode.d0.loss_dice: 0.6754, decode.d1.loss_cls: 0.1961, decode.d1.loss_mask: 0.4068, decode.d1.loss_dice: 0.6453, decode.d2.loss_cls: 0.1574, decode.d2.loss_mask: 0.3981, decode.d2.loss_dice: 0.6288, decode.d3.loss_cls: 0.1445, decode.d3.loss_mask: 0.3966, decode.d3.loss_dice: 0.6242, decode.d4.loss_cls: 0.1452, decode.d4.loss_mask: 0.3957, decode.d4.loss_dice: 0.6196, decode.d5.loss_cls: 0.1388, decode.d5.loss_mask: 0.3957, decode.d5.loss_dice: 0.6195, decode.d6.loss_cls: 0.1358, decode.d6.loss_mask: 0.3942, decode.d6.loss_dice: 0.6171, decode.d7.loss_cls: 0.1326, decode.d7.loss_mask: 0.3933, decode.d7.loss_dice: 0.6188, decode.d8.loss_cls: 0.1312, decode.d8.loss_mask: 0.3939, decode.d8.loss_dice: 0.6183, loss: 12.6633, grad_norm: 44.3192 2023-11-12 20:18:41,572 - mmseg - INFO - Iter [155650/160000] lr: 2.719e-06, eta: 0:36:08, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1385, decode.loss_mask: 0.4003, decode.loss_dice: 0.6145, decode.d0.loss_cls: 1.0838, decode.d0.loss_mask: 0.4303, decode.d0.loss_dice: 0.6613, decode.d1.loss_cls: 0.1881, decode.d1.loss_mask: 0.4128, decode.d1.loss_dice: 0.6393, decode.d2.loss_cls: 0.1597, decode.d2.loss_mask: 0.4065, decode.d2.loss_dice: 0.6285, decode.d3.loss_cls: 0.1536, decode.d3.loss_mask: 0.4022, decode.d3.loss_dice: 0.6204, decode.d4.loss_cls: 0.1472, decode.d4.loss_mask: 0.4010, decode.d4.loss_dice: 0.6170, decode.d5.loss_cls: 0.1434, decode.d5.loss_mask: 0.4009, decode.d5.loss_dice: 0.6166, decode.d6.loss_cls: 0.1418, decode.d6.loss_mask: 0.4009, decode.d6.loss_dice: 0.6150, decode.d7.loss_cls: 0.1363, decode.d7.loss_mask: 0.4014, decode.d7.loss_dice: 0.6156, decode.d8.loss_cls: 0.1390, decode.d8.loss_mask: 0.4002, decode.d8.loss_dice: 0.6150, loss: 12.7310, grad_norm: 41.0785 2023-11-12 20:19:05,340 - mmseg - INFO - Iter [155700/160000] lr: 2.688e-06, eta: 0:35:43, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1243, decode.loss_mask: 0.4015, decode.loss_dice: 0.6122, decode.d0.loss_cls: 1.0974, decode.d0.loss_mask: 0.4327, decode.d0.loss_dice: 0.6656, decode.d1.loss_cls: 0.1888, decode.d1.loss_mask: 0.4137, decode.d1.loss_dice: 0.6406, decode.d2.loss_cls: 0.1631, decode.d2.loss_mask: 0.4069, decode.d2.loss_dice: 0.6262, decode.d3.loss_cls: 0.1430, decode.d3.loss_mask: 0.4053, decode.d3.loss_dice: 0.6213, decode.d4.loss_cls: 0.1335, decode.d4.loss_mask: 0.4043, decode.d4.loss_dice: 0.6160, decode.d5.loss_cls: 0.1315, decode.d5.loss_mask: 0.4044, decode.d5.loss_dice: 0.6200, decode.d6.loss_cls: 0.1293, decode.d6.loss_mask: 0.4026, decode.d6.loss_dice: 0.6141, decode.d7.loss_cls: 0.1241, decode.d7.loss_mask: 0.4026, decode.d7.loss_dice: 0.6142, decode.d8.loss_cls: 0.1249, decode.d8.loss_mask: 0.4020, decode.d8.loss_dice: 0.6151, loss: 12.6812, grad_norm: 48.1873 2023-11-12 20:19:29,194 - mmseg - INFO - Iter [155750/160000] lr: 2.657e-06, eta: 0:35:18, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1257, decode.loss_mask: 0.4022, decode.loss_dice: 0.6094, decode.d0.loss_cls: 1.0895, decode.d0.loss_mask: 0.4319, decode.d0.loss_dice: 0.6527, decode.d1.loss_cls: 0.1850, decode.d1.loss_mask: 0.4153, decode.d1.loss_dice: 0.6312, decode.d2.loss_cls: 0.1536, decode.d2.loss_mask: 0.4097, decode.d2.loss_dice: 0.6184, decode.d3.loss_cls: 0.1467, decode.d3.loss_mask: 0.4047, decode.d3.loss_dice: 0.6102, decode.d4.loss_cls: 0.1342, decode.d4.loss_mask: 0.4040, decode.d4.loss_dice: 0.6104, decode.d5.loss_cls: 0.1343, decode.d5.loss_mask: 0.4035, decode.d5.loss_dice: 0.6088, decode.d6.loss_cls: 0.1342, decode.d6.loss_mask: 0.4019, decode.d6.loss_dice: 0.6059, decode.d7.loss_cls: 0.1300, decode.d7.loss_mask: 0.4020, decode.d7.loss_dice: 0.6060, decode.d8.loss_cls: 0.1262, decode.d8.loss_mask: 0.4015, decode.d8.loss_dice: 0.6074, loss: 12.5964, grad_norm: 44.4721 2023-11-12 20:19:53,255 - mmseg - INFO - Iter [155800/160000] lr: 2.626e-06, eta: 0:34:53, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1243, decode.loss_mask: 0.3910, decode.loss_dice: 0.6188, decode.d0.loss_cls: 1.0838, decode.d0.loss_mask: 0.4217, decode.d0.loss_dice: 0.6698, decode.d1.loss_cls: 0.1933, decode.d1.loss_mask: 0.4037, decode.d1.loss_dice: 0.6424, decode.d2.loss_cls: 0.1543, decode.d2.loss_mask: 0.3978, decode.d2.loss_dice: 0.6358, decode.d3.loss_cls: 0.1421, decode.d3.loss_mask: 0.3946, decode.d3.loss_dice: 0.6215, decode.d4.loss_cls: 0.1342, decode.d4.loss_mask: 0.3939, decode.d4.loss_dice: 0.6229, decode.d5.loss_cls: 0.1325, decode.d5.loss_mask: 0.3920, decode.d5.loss_dice: 0.6225, decode.d6.loss_cls: 0.1324, decode.d6.loss_mask: 0.3933, decode.d6.loss_dice: 0.6180, decode.d7.loss_cls: 0.1283, decode.d7.loss_mask: 0.3921, decode.d7.loss_dice: 0.6158, decode.d8.loss_cls: 0.1280, decode.d8.loss_mask: 0.3907, decode.d8.loss_dice: 0.6147, loss: 12.6064, grad_norm: 47.9993 2023-11-12 20:20:17,131 - mmseg - INFO - Iter [155850/160000] lr: 2.594e-06, eta: 0:34:28, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1177, decode.loss_mask: 0.4061, decode.loss_dice: 0.6035, decode.d0.loss_cls: 1.0525, decode.d0.loss_mask: 0.4347, decode.d0.loss_dice: 0.6524, decode.d1.loss_cls: 0.1675, decode.d1.loss_mask: 0.4171, decode.d1.loss_dice: 0.6323, decode.d2.loss_cls: 0.1410, decode.d2.loss_mask: 0.4103, decode.d2.loss_dice: 0.6218, decode.d3.loss_cls: 0.1294, decode.d3.loss_mask: 0.4075, decode.d3.loss_dice: 0.6084, decode.d4.loss_cls: 0.1241, decode.d4.loss_mask: 0.4069, decode.d4.loss_dice: 0.6110, decode.d5.loss_cls: 0.1194, decode.d5.loss_mask: 0.4071, decode.d5.loss_dice: 0.6095, decode.d6.loss_cls: 0.1237, decode.d6.loss_mask: 0.4070, decode.d6.loss_dice: 0.6050, decode.d7.loss_cls: 0.1158, decode.d7.loss_mask: 0.4068, decode.d7.loss_dice: 0.6098, decode.d8.loss_cls: 0.1178, decode.d8.loss_mask: 0.4066, decode.d8.loss_dice: 0.6092, loss: 12.4821, grad_norm: 47.6680 2023-11-12 20:20:40,903 - mmseg - INFO - Iter [155900/160000] lr: 2.563e-06, eta: 0:34:03, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1259, decode.loss_mask: 0.3772, decode.loss_dice: 0.5986, decode.d0.loss_cls: 1.0604, decode.d0.loss_mask: 0.4065, decode.d0.loss_dice: 0.6490, decode.d1.loss_cls: 0.1833, decode.d1.loss_mask: 0.3865, decode.d1.loss_dice: 0.6222, decode.d2.loss_cls: 0.1525, decode.d2.loss_mask: 0.3809, decode.d2.loss_dice: 0.6113, decode.d3.loss_cls: 0.1451, decode.d3.loss_mask: 0.3786, decode.d3.loss_dice: 0.6005, decode.d4.loss_cls: 0.1368, decode.d4.loss_mask: 0.3781, decode.d4.loss_dice: 0.6005, decode.d5.loss_cls: 0.1333, decode.d5.loss_mask: 0.3778, decode.d5.loss_dice: 0.6047, decode.d6.loss_cls: 0.1325, decode.d6.loss_mask: 0.3779, decode.d6.loss_dice: 0.5982, decode.d7.loss_cls: 0.1293, decode.d7.loss_mask: 0.3775, decode.d7.loss_dice: 0.5992, decode.d8.loss_cls: 0.1278, decode.d8.loss_mask: 0.3778, decode.d8.loss_dice: 0.5996, loss: 12.2293, grad_norm: 46.6261 2023-11-12 20:21:04,580 - mmseg - INFO - Iter [155950/160000] lr: 2.532e-06, eta: 0:33:39, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1157, decode.loss_mask: 0.3943, decode.loss_dice: 0.5825, decode.d0.loss_cls: 1.0499, decode.d0.loss_mask: 0.4268, decode.d0.loss_dice: 0.6229, decode.d1.loss_cls: 0.1664, decode.d1.loss_mask: 0.4080, decode.d1.loss_dice: 0.6044, decode.d2.loss_cls: 0.1421, decode.d2.loss_mask: 0.3999, decode.d2.loss_dice: 0.5915, decode.d3.loss_cls: 0.1294, decode.d3.loss_mask: 0.3966, decode.d3.loss_dice: 0.5833, decode.d4.loss_cls: 0.1253, decode.d4.loss_mask: 0.3955, decode.d4.loss_dice: 0.5804, decode.d5.loss_cls: 0.1174, decode.d5.loss_mask: 0.3950, decode.d5.loss_dice: 0.5847, decode.d6.loss_cls: 0.1165, decode.d6.loss_mask: 0.3949, decode.d6.loss_dice: 0.5835, decode.d7.loss_cls: 0.1174, decode.d7.loss_mask: 0.3946, decode.d7.loss_dice: 0.5820, decode.d8.loss_cls: 0.1137, decode.d8.loss_mask: 0.3943, decode.d8.loss_dice: 0.5825, loss: 12.0911, grad_norm: 44.2130 2023-11-12 20:21:28,260 - mmseg - INFO - Saving checkpoint at 156000 iterations 2023-11-12 20:21:32,030 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 20:21:32,031 - mmseg - INFO - Iter [156000/160000] lr: 2.501e-06, eta: 0:33:14, time: 0.549, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1238, decode.loss_mask: 0.3947, decode.loss_dice: 0.5968, decode.d0.loss_cls: 1.0939, decode.d0.loss_mask: 0.4253, decode.d0.loss_dice: 0.6440, decode.d1.loss_cls: 0.1861, decode.d1.loss_mask: 0.4060, decode.d1.loss_dice: 0.6215, decode.d2.loss_cls: 0.1563, decode.d2.loss_mask: 0.4008, decode.d2.loss_dice: 0.6095, decode.d3.loss_cls: 0.1458, decode.d3.loss_mask: 0.3977, decode.d3.loss_dice: 0.5989, decode.d4.loss_cls: 0.1407, decode.d4.loss_mask: 0.3955, decode.d4.loss_dice: 0.6012, decode.d5.loss_cls: 0.1347, decode.d5.loss_mask: 0.3952, decode.d5.loss_dice: 0.6016, decode.d6.loss_cls: 0.1321, decode.d6.loss_mask: 0.3944, decode.d6.loss_dice: 0.5976, decode.d7.loss_cls: 0.1295, decode.d7.loss_mask: 0.3951, decode.d7.loss_dice: 0.6002, decode.d8.loss_cls: 0.1273, decode.d8.loss_mask: 0.3948, decode.d8.loss_dice: 0.5990, loss: 12.4399, grad_norm: 45.8348 2023-11-12 20:21:51,188 - mmseg - INFO - per class results: 2023-11-12 20:21:51,196 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.33 | 88.38 | | building | 83.07 | 91.59 | | sky | 94.76 | 97.39 | | floor | 83.36 | 91.09 | | tree | 75.64 | 87.77 | | ceiling | 84.53 | 91.15 | | road | 85.44 | 91.71 | | bed | 91.33 | 96.28 | | windowpane | 64.18 | 80.78 | | grass | 64.91 | 76.5 | | cabinet | 64.1 | 76.28 | | sidewalk | 69.91 | 80.74 | | person | 84.49 | 93.35 | | earth | 40.58 | 60.6 | | door | 51.78 | 66.49 | | table | 67.45 | 81.8 | | mountain | 63.15 | 76.26 | | plant | 53.11 | 68.35 | | curtain | 78.75 | 87.97 | | chair | 63.96 | 75.74 | | car | 85.83 | 92.03 | | water | 51.62 | 64.67 | | painting | 76.94 | 88.24 | | sofa | 69.04 | 81.95 | | shelf | 45.87 | 64.38 | | house | 38.95 | 64.9 | | sea | 58.36 | 90.51 | | mirror | 70.01 | 79.36 | | rug | 64.82 | 76.44 | | field | 31.86 | 49.8 | | armchair | 47.97 | 68.75 | | seat | 59.66 | 81.62 | | fence | 52.2 | 69.48 | | desk | 55.4 | 75.14 | | rock | 51.45 | 78.11 | | wardrobe | 44.52 | 63.74 | | lamp | 71.93 | 83.69 | | bathtub | 84.36 | 90.18 | | railing | 37.94 | 53.91 | | cushion | 64.05 | 77.19 | | base | 34.48 | 50.25 | | box | 28.91 | 39.34 | | column | 45.2 | 56.72 | | signboard | 34.53 | 51.94 | | chest of drawers | 40.79 | 59.63 | | counter | 29.66 | 35.41 | | sand | 33.84 | 45.53 | | sink | 79.97 | 85.61 | | skyscraper | 36.38 | 41.73 | | fireplace | 78.03 | 96.7 | | refrigerator | 76.84 | 83.63 | | grandstand | 41.21 | 74.06 | | path | 28.52 | 42.37 | | stairs | 31.07 | 39.33 | | runway | 78.33 | 92.38 | | case | 64.3 | 79.97 | | pool table | 95.2 | 97.62 | | pillow | 61.64 | 75.7 | | screen door | 81.8 | 88.39 | | stairway | 34.59 | 42.29 | | river | 12.66 | 18.04 | | bridge | 74.15 | 88.16 | | bookcase | 39.31 | 63.76 | | blind | 47.4 | 52.7 | | coffee table | 69.07 | 85.83 | | toilet | 84.08 | 91.96 | | flower | 51.56 | 64.36 | | book | 50.87 | 71.94 | | hill | 7.66 | 13.75 | | bench | 57.79 | 68.82 | | countertop | 64.14 | 78.37 | | stove | 83.87 | 89.2 | | palm | 57.06 | 74.0 | | kitchen island | 58.45 | 89.56 | | computer | 71.89 | 78.71 | | swivel chair | 38.43 | 59.05 | | boat | 48.63 | 53.74 | | bar | 52.8 | 65.29 | | arcade machine | 85.77 | 90.86 | | hovel | 26.35 | 41.17 | | bus | 94.41 | 96.38 | | towel | 66.3 | 81.19 | | light | 63.36 | 73.09 | | truck | 32.26 | 57.43 | | tower | 37.52 | 63.44 | | chandelier | 71.84 | 87.52 | | awning | 34.69 | 44.96 | | streetlight | 42.47 | 63.15 | | booth | 37.66 | 72.19 | | television receiver | 73.5 | 82.87 | | airplane | 69.17 | 77.48 | | dirt track | 12.87 | 53.97 | | apparel | 26.43 | 49.07 | | pole | 30.87 | 47.07 | | land | 6.99 | 8.83 | | bannister | 20.17 | 31.22 | | escalator | 19.6 | 21.02 | | ottoman | 63.62 | 76.6 | | bottle | 28.65 | 35.29 | | buffet | 46.15 | 54.23 | | poster | 21.72 | 34.09 | | stage | 19.21 | 29.82 | | van | 50.21 | 68.76 | | ship | 4.82 | 10.59 | | fountain | 20.61 | 21.88 | | conveyer belt | 68.14 | 93.76 | | canopy | 32.99 | 46.61 | | washer | 70.97 | 73.6 | | plaything | 26.63 | 35.63 | | swimming pool | 56.87 | 61.04 | | stool | 44.85 | 71.82 | | barrel | 89.73 | 95.21 | | basket | 36.05 | 44.69 | | waterfall | 57.98 | 92.49 | | tent | 95.44 | 98.14 | | bag | 16.93 | 20.4 | | minibike | 75.94 | 92.05 | | cradle | 85.52 | 97.24 | | oven | 24.95 | 67.96 | | ball | 56.39 | 68.78 | | food | 61.67 | 75.87 | | step | 16.35 | 21.2 | | tank | 63.25 | 66.23 | | trade name | 30.88 | 38.12 | | microwave | 41.7 | 46.06 | | pot | 49.9 | 56.92 | | animal | 56.18 | 57.3 | | bicycle | 55.48 | 76.38 | | lake | 57.7 | 63.6 | | dishwasher | 80.04 | 85.86 | | screen | 61.88 | 93.35 | | blanket | 27.5 | 33.36 | | sculpture | 69.12 | 86.87 | | hood | 79.3 | 93.36 | | sconce | 56.36 | 68.22 | | vase | 50.65 | 68.42 | | traffic light | 43.04 | 67.35 | | tray | 15.02 | 27.62 | | ashcan | 52.27 | 66.16 | | fan | 71.73 | 84.78 | | pier | 34.3 | 44.2 | | crt screen | 3.14 | 9.58 | | plate | 57.6 | 72.75 | | monitor | 8.9 | 12.28 | | bulletin board | 52.0 | 78.25 | | shower | 7.8 | 22.01 | | radiator | 73.12 | 83.72 | | glass | 21.28 | 22.78 | | clock | 57.6 | 68.64 | | flag | 45.43 | 51.78 | +---------------------+-------+-------+ 2023-11-12 20:21:51,196 - mmseg - INFO - Summary: 2023-11-12 20:21:51,196 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 84.2 | 53.06 | 66.11 | +------+-------+-------+ 2023-11-12 20:21:51,197 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 20:21:51,197 - mmseg - INFO - Iter(val) [250] aAcc: 0.8420, mIoU: 0.5306, mAcc: 0.6611, IoU.wall: 0.7933, IoU.building: 0.8307, IoU.sky: 0.9476, IoU.floor: 0.8336, IoU.tree: 0.7564, IoU.ceiling: 0.8453, IoU.road: 0.8544, IoU.bed : 0.9133, IoU.windowpane: 0.6418, IoU.grass: 0.6491, IoU.cabinet: 0.6410, IoU.sidewalk: 0.6991, IoU.person: 0.8449, IoU.earth: 0.4058, IoU.door: 0.5178, IoU.table: 0.6745, IoU.mountain: 0.6315, IoU.plant: 0.5311, IoU.curtain: 0.7875, IoU.chair: 0.6396, IoU.car: 0.8583, IoU.water: 0.5162, IoU.painting: 0.7694, IoU.sofa: 0.6904, IoU.shelf: 0.4587, IoU.house: 0.3895, IoU.sea: 0.5836, IoU.mirror: 0.7001, IoU.rug: 0.6482, IoU.field: 0.3186, IoU.armchair: 0.4797, IoU.seat: 0.5966, IoU.fence: 0.5220, IoU.desk: 0.5540, IoU.rock: 0.5145, IoU.wardrobe: 0.4452, IoU.lamp: 0.7193, IoU.bathtub: 0.8436, IoU.railing: 0.3794, IoU.cushion: 0.6405, IoU.base: 0.3448, IoU.box: 0.2891, IoU.column: 0.4520, IoU.signboard: 0.3453, IoU.chest of drawers: 0.4079, IoU.counter: 0.2966, IoU.sand: 0.3384, IoU.sink: 0.7997, IoU.skyscraper: 0.3638, IoU.fireplace: 0.7803, IoU.refrigerator: 0.7684, IoU.grandstand: 0.4121, IoU.path: 0.2852, IoU.stairs: 0.3107, IoU.runway: 0.7833, IoU.case: 0.6430, IoU.pool table: 0.9520, IoU.pillow: 0.6164, IoU.screen door: 0.8180, IoU.stairway: 0.3459, IoU.river: 0.1266, IoU.bridge: 0.7415, IoU.bookcase: 0.3931, IoU.blind: 0.4740, IoU.coffee table: 0.6907, IoU.toilet: 0.8408, IoU.flower: 0.5156, IoU.book: 0.5087, IoU.hill: 0.0766, IoU.bench: 0.5779, IoU.countertop: 0.6414, IoU.stove: 0.8387, IoU.palm: 0.5706, IoU.kitchen island: 0.5845, IoU.computer: 0.7189, IoU.swivel chair: 0.3843, IoU.boat: 0.4863, IoU.bar: 0.5280, IoU.arcade machine: 0.8577, IoU.hovel: 0.2635, IoU.bus: 0.9441, IoU.towel: 0.6630, IoU.light: 0.6336, IoU.truck: 0.3226, IoU.tower: 0.3752, IoU.chandelier: 0.7184, IoU.awning: 0.3469, IoU.streetlight: 0.4247, IoU.booth: 0.3766, IoU.television receiver: 0.7350, IoU.airplane: 0.6917, IoU.dirt track: 0.1287, IoU.apparel: 0.2643, IoU.pole: 0.3087, IoU.land: 0.0699, IoU.bannister: 0.2017, IoU.escalator: 0.1960, IoU.ottoman: 0.6362, IoU.bottle: 0.2865, IoU.buffet: 0.4615, IoU.poster: 0.2172, IoU.stage: 0.1921, IoU.van: 0.5021, IoU.ship: 0.0482, IoU.fountain: 0.2061, IoU.conveyer belt: 0.6814, IoU.canopy: 0.3299, IoU.washer: 0.7097, IoU.plaything: 0.2663, IoU.swimming pool: 0.5687, IoU.stool: 0.4485, IoU.barrel: 0.8973, IoU.basket: 0.3605, IoU.waterfall: 0.5798, IoU.tent: 0.9544, IoU.bag: 0.1693, IoU.minibike: 0.7594, IoU.cradle: 0.8552, IoU.oven: 0.2495, IoU.ball: 0.5639, IoU.food: 0.6167, IoU.step: 0.1635, IoU.tank: 0.6325, IoU.trade name: 0.3088, IoU.microwave: 0.4170, IoU.pot: 0.4990, IoU.animal: 0.5618, IoU.bicycle: 0.5548, IoU.lake: 0.5770, IoU.dishwasher: 0.8004, IoU.screen: 0.6188, IoU.blanket: 0.2750, IoU.sculpture: 0.6912, IoU.hood: 0.7930, IoU.sconce: 0.5636, IoU.vase: 0.5065, IoU.traffic light: 0.4304, IoU.tray: 0.1502, IoU.ashcan: 0.5227, IoU.fan: 0.7173, IoU.pier: 0.3430, IoU.crt screen: 0.0314, IoU.plate: 0.5760, IoU.monitor: 0.0890, IoU.bulletin board: 0.5200, IoU.shower: 0.0780, IoU.radiator: 0.7312, IoU.glass: 0.2128, IoU.clock: 0.5760, IoU.flag: 0.4543, Acc.wall: 0.8838, Acc.building: 0.9159, Acc.sky: 0.9739, Acc.floor: 0.9109, Acc.tree: 0.8777, Acc.ceiling: 0.9115, Acc.road: 0.9171, Acc.bed : 0.9628, Acc.windowpane: 0.8078, Acc.grass: 0.7650, Acc.cabinet: 0.7628, Acc.sidewalk: 0.8074, Acc.person: 0.9335, Acc.earth: 0.6060, Acc.door: 0.6649, Acc.table: 0.8180, Acc.mountain: 0.7626, Acc.plant: 0.6835, Acc.curtain: 0.8797, Acc.chair: 0.7574, Acc.car: 0.9203, Acc.water: 0.6467, Acc.painting: 0.8824, Acc.sofa: 0.8195, Acc.shelf: 0.6438, Acc.house: 0.6490, Acc.sea: 0.9051, Acc.mirror: 0.7936, Acc.rug: 0.7644, Acc.field: 0.4980, Acc.armchair: 0.6875, Acc.seat: 0.8162, Acc.fence: 0.6948, Acc.desk: 0.7514, Acc.rock: 0.7811, Acc.wardrobe: 0.6374, Acc.lamp: 0.8369, Acc.bathtub: 0.9018, Acc.railing: 0.5391, Acc.cushion: 0.7719, Acc.base: 0.5025, Acc.box: 0.3934, Acc.column: 0.5672, Acc.signboard: 0.5194, Acc.chest of drawers: 0.5963, Acc.counter: 0.3541, Acc.sand: 0.4553, Acc.sink: 0.8561, Acc.skyscraper: 0.4173, Acc.fireplace: 0.9670, Acc.refrigerator: 0.8363, Acc.grandstand: 0.7406, Acc.path: 0.4237, Acc.stairs: 0.3933, Acc.runway: 0.9238, Acc.case: 0.7997, Acc.pool table: 0.9762, Acc.pillow: 0.7570, Acc.screen door: 0.8839, Acc.stairway: 0.4229, Acc.river: 0.1804, Acc.bridge: 0.8816, Acc.bookcase: 0.6376, Acc.blind: 0.5270, Acc.coffee table: 0.8583, Acc.toilet: 0.9196, Acc.flower: 0.6436, Acc.book: 0.7194, Acc.hill: 0.1375, Acc.bench: 0.6882, Acc.countertop: 0.7837, Acc.stove: 0.8920, Acc.palm: 0.7400, Acc.kitchen island: 0.8956, Acc.computer: 0.7871, Acc.swivel chair: 0.5905, Acc.boat: 0.5374, Acc.bar: 0.6529, Acc.arcade machine: 0.9086, Acc.hovel: 0.4117, Acc.bus: 0.9638, Acc.towel: 0.8119, Acc.light: 0.7309, Acc.truck: 0.5743, Acc.tower: 0.6344, Acc.chandelier: 0.8752, Acc.awning: 0.4496, Acc.streetlight: 0.6315, Acc.booth: 0.7219, Acc.television receiver: 0.8287, Acc.airplane: 0.7748, Acc.dirt track: 0.5397, Acc.apparel: 0.4907, Acc.pole: 0.4707, Acc.land: 0.0883, Acc.bannister: 0.3122, Acc.escalator: 0.2102, Acc.ottoman: 0.7660, Acc.bottle: 0.3529, Acc.buffet: 0.5423, Acc.poster: 0.3409, Acc.stage: 0.2982, Acc.van: 0.6876, Acc.ship: 0.1059, Acc.fountain: 0.2188, Acc.conveyer belt: 0.9376, Acc.canopy: 0.4661, Acc.washer: 0.7360, Acc.plaything: 0.3563, Acc.swimming pool: 0.6104, Acc.stool: 0.7182, Acc.barrel: 0.9521, Acc.basket: 0.4469, Acc.waterfall: 0.9249, Acc.tent: 0.9814, Acc.bag: 0.2040, Acc.minibike: 0.9205, Acc.cradle: 0.9724, Acc.oven: 0.6796, Acc.ball: 0.6878, Acc.food: 0.7587, Acc.step: 0.2120, Acc.tank: 0.6623, Acc.trade name: 0.3812, Acc.microwave: 0.4606, Acc.pot: 0.5692, Acc.animal: 0.5730, Acc.bicycle: 0.7638, Acc.lake: 0.6360, Acc.dishwasher: 0.8586, Acc.screen: 0.9335, Acc.blanket: 0.3336, Acc.sculpture: 0.8687, Acc.hood: 0.9336, Acc.sconce: 0.6822, Acc.vase: 0.6842, Acc.traffic light: 0.6735, Acc.tray: 0.2762, Acc.ashcan: 0.6616, Acc.fan: 0.8478, Acc.pier: 0.4420, Acc.crt screen: 0.0958, Acc.plate: 0.7275, Acc.monitor: 0.1228, Acc.bulletin board: 0.7825, Acc.shower: 0.2201, Acc.radiator: 0.8372, Acc.glass: 0.2278, Acc.clock: 0.6864, Acc.flag: 0.5178 2023-11-12 20:22:15,163 - mmseg - INFO - Iter [156050/160000] lr: 2.469e-06, eta: 0:32:49, time: 0.863, data_time: 0.395, memory: 41146, decode.loss_cls: 0.1241, decode.loss_mask: 0.3826, decode.loss_dice: 0.6103, decode.d0.loss_cls: 1.0834, decode.d0.loss_mask: 0.4096, decode.d0.loss_dice: 0.6585, decode.d1.loss_cls: 0.1839, decode.d1.loss_mask: 0.3925, decode.d1.loss_dice: 0.6330, decode.d2.loss_cls: 0.1530, decode.d2.loss_mask: 0.3864, decode.d2.loss_dice: 0.6222, decode.d3.loss_cls: 0.1406, decode.d3.loss_mask: 0.3846, decode.d3.loss_dice: 0.6139, decode.d4.loss_cls: 0.1326, decode.d4.loss_mask: 0.3833, decode.d4.loss_dice: 0.6133, decode.d5.loss_cls: 0.1295, decode.d5.loss_mask: 0.3826, decode.d5.loss_dice: 0.6102, decode.d6.loss_cls: 0.1277, decode.d6.loss_mask: 0.3818, decode.d6.loss_dice: 0.6107, decode.d7.loss_cls: 0.1314, decode.d7.loss_mask: 0.3826, decode.d7.loss_dice: 0.6096, decode.d8.loss_cls: 0.1253, decode.d8.loss_mask: 0.3827, decode.d8.loss_dice: 0.6110, loss: 12.3927, grad_norm: 44.0903 2023-11-12 20:22:38,891 - mmseg - INFO - Iter [156100/160000] lr: 2.438e-06, eta: 0:32:24, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1233, decode.loss_mask: 0.3870, decode.loss_dice: 0.6074, decode.d0.loss_cls: 1.0555, decode.d0.loss_mask: 0.4103, decode.d0.loss_dice: 0.6521, decode.d1.loss_cls: 0.1737, decode.d1.loss_mask: 0.3952, decode.d1.loss_dice: 0.6289, decode.d2.loss_cls: 0.1519, decode.d2.loss_mask: 0.3901, decode.d2.loss_dice: 0.6174, decode.d3.loss_cls: 0.1368, decode.d3.loss_mask: 0.3881, decode.d3.loss_dice: 0.6076, decode.d4.loss_cls: 0.1344, decode.d4.loss_mask: 0.3880, decode.d4.loss_dice: 0.6085, decode.d5.loss_cls: 0.1349, decode.d5.loss_mask: 0.3870, decode.d5.loss_dice: 0.6062, decode.d6.loss_cls: 0.1277, decode.d6.loss_mask: 0.3873, decode.d6.loss_dice: 0.6065, decode.d7.loss_cls: 0.1317, decode.d7.loss_mask: 0.3870, decode.d7.loss_dice: 0.6065, decode.d8.loss_cls: 0.1244, decode.d8.loss_mask: 0.3871, decode.d8.loss_dice: 0.6096, loss: 12.3522, grad_norm: 39.3023 2023-11-12 20:23:02,964 - mmseg - INFO - Iter [156150/160000] lr: 2.407e-06, eta: 0:31:59, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1209, decode.loss_mask: 0.3856, decode.loss_dice: 0.5922, decode.d0.loss_cls: 1.0521, decode.d0.loss_mask: 0.4154, decode.d0.loss_dice: 0.6380, decode.d1.loss_cls: 0.1837, decode.d1.loss_mask: 0.3952, decode.d1.loss_dice: 0.6107, decode.d2.loss_cls: 0.1478, decode.d2.loss_mask: 0.3918, decode.d2.loss_dice: 0.6021, decode.d3.loss_cls: 0.1397, decode.d3.loss_mask: 0.3890, decode.d3.loss_dice: 0.5896, decode.d4.loss_cls: 0.1267, decode.d4.loss_mask: 0.3876, decode.d4.loss_dice: 0.5905, decode.d5.loss_cls: 0.1295, decode.d5.loss_mask: 0.3874, decode.d5.loss_dice: 0.5851, decode.d6.loss_cls: 0.1260, decode.d6.loss_mask: 0.3865, decode.d6.loss_dice: 0.5844, decode.d7.loss_cls: 0.1222, decode.d7.loss_mask: 0.3858, decode.d7.loss_dice: 0.5887, decode.d8.loss_cls: 0.1236, decode.d8.loss_mask: 0.3852, decode.d8.loss_dice: 0.5890, loss: 12.1518, grad_norm: 47.0330 2023-11-12 20:23:26,874 - mmseg - INFO - Iter [156200/160000] lr: 2.376e-06, eta: 0:31:34, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1384, decode.loss_mask: 0.3818, decode.loss_dice: 0.6085, decode.d0.loss_cls: 1.0880, decode.d0.loss_mask: 0.4080, decode.d0.loss_dice: 0.6573, decode.d1.loss_cls: 0.2011, decode.d1.loss_mask: 0.3915, decode.d1.loss_dice: 0.6324, decode.d2.loss_cls: 0.1699, decode.d2.loss_mask: 0.3856, decode.d2.loss_dice: 0.6216, decode.d3.loss_cls: 0.1575, decode.d3.loss_mask: 0.3828, decode.d3.loss_dice: 0.6121, decode.d4.loss_cls: 0.1482, decode.d4.loss_mask: 0.3813, decode.d4.loss_dice: 0.6115, decode.d5.loss_cls: 0.1445, decode.d5.loss_mask: 0.3816, decode.d5.loss_dice: 0.6149, decode.d6.loss_cls: 0.1477, decode.d6.loss_mask: 0.3809, decode.d6.loss_dice: 0.6058, decode.d7.loss_cls: 0.1397, decode.d7.loss_mask: 0.3814, decode.d7.loss_dice: 0.6107, decode.d8.loss_cls: 0.1368, decode.d8.loss_mask: 0.3815, decode.d8.loss_dice: 0.6106, loss: 12.5133, grad_norm: 42.8995 2023-11-12 20:23:50,720 - mmseg - INFO - Iter [156250/160000] lr: 2.344e-06, eta: 0:31:09, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1246, decode.loss_mask: 0.3877, decode.loss_dice: 0.5890, decode.d0.loss_cls: 1.0775, decode.d0.loss_mask: 0.4128, decode.d0.loss_dice: 0.6328, decode.d1.loss_cls: 0.1804, decode.d1.loss_mask: 0.3966, decode.d1.loss_dice: 0.6153, decode.d2.loss_cls: 0.1523, decode.d2.loss_mask: 0.3896, decode.d2.loss_dice: 0.5969, decode.d3.loss_cls: 0.1410, decode.d3.loss_mask: 0.3891, decode.d3.loss_dice: 0.5915, decode.d4.loss_cls: 0.1298, decode.d4.loss_mask: 0.3878, decode.d4.loss_dice: 0.5908, decode.d5.loss_cls: 0.1346, decode.d5.loss_mask: 0.3870, decode.d5.loss_dice: 0.5869, decode.d6.loss_cls: 0.1322, decode.d6.loss_mask: 0.3878, decode.d6.loss_dice: 0.5903, decode.d7.loss_cls: 0.1263, decode.d7.loss_mask: 0.3876, decode.d7.loss_dice: 0.5878, decode.d8.loss_cls: 0.1212, decode.d8.loss_mask: 0.3876, decode.d8.loss_dice: 0.5907, loss: 12.2056, grad_norm: 45.8761 2023-11-12 20:24:14,456 - mmseg - INFO - Iter [156300/160000] lr: 2.313e-06, eta: 0:30:44, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1315, decode.loss_mask: 0.3922, decode.loss_dice: 0.6143, decode.d0.loss_cls: 1.0905, decode.d0.loss_mask: 0.4216, decode.d0.loss_dice: 0.6652, decode.d1.loss_cls: 0.1977, decode.d1.loss_mask: 0.4024, decode.d1.loss_dice: 0.6403, decode.d2.loss_cls: 0.1612, decode.d2.loss_mask: 0.3984, decode.d2.loss_dice: 0.6279, decode.d3.loss_cls: 0.1462, decode.d3.loss_mask: 0.3954, decode.d3.loss_dice: 0.6205, decode.d4.loss_cls: 0.1414, decode.d4.loss_mask: 0.3949, decode.d4.loss_dice: 0.6195, decode.d5.loss_cls: 0.1391, decode.d5.loss_mask: 0.3934, decode.d5.loss_dice: 0.6171, decode.d6.loss_cls: 0.1371, decode.d6.loss_mask: 0.3927, decode.d6.loss_dice: 0.6147, decode.d7.loss_cls: 0.1347, decode.d7.loss_mask: 0.3931, decode.d7.loss_dice: 0.6158, decode.d8.loss_cls: 0.1297, decode.d8.loss_mask: 0.3934, decode.d8.loss_dice: 0.6166, loss: 12.6383, grad_norm: 42.6979 2023-11-12 20:24:38,112 - mmseg - INFO - Iter [156350/160000] lr: 2.282e-06, eta: 0:30:19, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1350, decode.loss_mask: 0.3859, decode.loss_dice: 0.6067, decode.d0.loss_cls: 1.0765, decode.d0.loss_mask: 0.4107, decode.d0.loss_dice: 0.6532, decode.d1.loss_cls: 0.1944, decode.d1.loss_mask: 0.3977, decode.d1.loss_dice: 0.6352, decode.d2.loss_cls: 0.1630, decode.d2.loss_mask: 0.3906, decode.d2.loss_dice: 0.6222, decode.d3.loss_cls: 0.1545, decode.d3.loss_mask: 0.3874, decode.d3.loss_dice: 0.6126, decode.d4.loss_cls: 0.1474, decode.d4.loss_mask: 0.3873, decode.d4.loss_dice: 0.6100, decode.d5.loss_cls: 0.1435, decode.d5.loss_mask: 0.3858, decode.d5.loss_dice: 0.6112, decode.d6.loss_cls: 0.1391, decode.d6.loss_mask: 0.3856, decode.d6.loss_dice: 0.6088, decode.d7.loss_cls: 0.1397, decode.d7.loss_mask: 0.3846, decode.d7.loss_dice: 0.6040, decode.d8.loss_cls: 0.1375, decode.d8.loss_mask: 0.3863, decode.d8.loss_dice: 0.6074, loss: 12.5037, grad_norm: 43.8573 2023-11-12 20:25:01,841 - mmseg - INFO - Iter [156400/160000] lr: 2.251e-06, eta: 0:29:54, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1258, decode.loss_mask: 0.3903, decode.loss_dice: 0.5934, decode.d0.loss_cls: 1.0867, decode.d0.loss_mask: 0.4217, decode.d0.loss_dice: 0.6448, decode.d1.loss_cls: 0.1812, decode.d1.loss_mask: 0.3999, decode.d1.loss_dice: 0.6173, decode.d2.loss_cls: 0.1590, decode.d2.loss_mask: 0.3956, decode.d2.loss_dice: 0.6080, decode.d3.loss_cls: 0.1435, decode.d3.loss_mask: 0.3923, decode.d3.loss_dice: 0.5978, decode.d4.loss_cls: 0.1349, decode.d4.loss_mask: 0.3908, decode.d4.loss_dice: 0.5997, decode.d5.loss_cls: 0.1345, decode.d5.loss_mask: 0.3912, decode.d5.loss_dice: 0.5939, decode.d6.loss_cls: 0.1327, decode.d6.loss_mask: 0.3898, decode.d6.loss_dice: 0.5933, decode.d7.loss_cls: 0.1294, decode.d7.loss_mask: 0.3893, decode.d7.loss_dice: 0.5946, decode.d8.loss_cls: 0.1299, decode.d8.loss_mask: 0.3899, decode.d8.loss_dice: 0.5958, loss: 12.3475, grad_norm: 45.9313 2023-11-12 20:25:25,724 - mmseg - INFO - Iter [156450/160000] lr: 2.219e-06, eta: 0:29:30, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1335, decode.loss_mask: 0.4100, decode.loss_dice: 0.6192, decode.d0.loss_cls: 1.0771, decode.d0.loss_mask: 0.4439, decode.d0.loss_dice: 0.6708, decode.d1.loss_cls: 0.1893, decode.d1.loss_mask: 0.4214, decode.d1.loss_dice: 0.6410, decode.d2.loss_cls: 0.1653, decode.d2.loss_mask: 0.4147, decode.d2.loss_dice: 0.6274, decode.d3.loss_cls: 0.1528, decode.d3.loss_mask: 0.4110, decode.d3.loss_dice: 0.6206, decode.d4.loss_cls: 0.1488, decode.d4.loss_mask: 0.4108, decode.d4.loss_dice: 0.6193, decode.d5.loss_cls: 0.1437, decode.d5.loss_mask: 0.4103, decode.d5.loss_dice: 0.6169, decode.d6.loss_cls: 0.1396, decode.d6.loss_mask: 0.4103, decode.d6.loss_dice: 0.6182, decode.d7.loss_cls: 0.1380, decode.d7.loss_mask: 0.4102, decode.d7.loss_dice: 0.6159, decode.d8.loss_cls: 0.1338, decode.d8.loss_mask: 0.4100, decode.d8.loss_dice: 0.6142, loss: 12.8380, grad_norm: 47.9788 2023-11-12 20:25:49,592 - mmseg - INFO - Iter [156500/160000] lr: 2.188e-06, eta: 0:29:05, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1440, decode.loss_mask: 0.3985, decode.loss_dice: 0.6150, decode.d0.loss_cls: 1.0862, decode.d0.loss_mask: 0.4317, decode.d0.loss_dice: 0.6670, decode.d1.loss_cls: 0.1990, decode.d1.loss_mask: 0.4120, decode.d1.loss_dice: 0.6440, decode.d2.loss_cls: 0.1761, decode.d2.loss_mask: 0.4051, decode.d2.loss_dice: 0.6293, decode.d3.loss_cls: 0.1636, decode.d3.loss_mask: 0.4017, decode.d3.loss_dice: 0.6147, decode.d4.loss_cls: 0.1533, decode.d4.loss_mask: 0.4016, decode.d4.loss_dice: 0.6166, decode.d5.loss_cls: 0.1550, decode.d5.loss_mask: 0.4010, decode.d5.loss_dice: 0.6153, decode.d6.loss_cls: 0.1516, decode.d6.loss_mask: 0.4006, decode.d6.loss_dice: 0.6115, decode.d7.loss_cls: 0.1490, decode.d7.loss_mask: 0.4003, decode.d7.loss_dice: 0.6109, decode.d8.loss_cls: 0.1450, decode.d8.loss_mask: 0.3998, decode.d8.loss_dice: 0.6124, loss: 12.8118, grad_norm: 45.2528 2023-11-12 20:26:13,518 - mmseg - INFO - Iter [156550/160000] lr: 2.157e-06, eta: 0:28:40, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1191, decode.loss_mask: 0.3945, decode.loss_dice: 0.5802, decode.d0.loss_cls: 1.0536, decode.d0.loss_mask: 0.4247, decode.d0.loss_dice: 0.6287, decode.d1.loss_cls: 0.1679, decode.d1.loss_mask: 0.4065, decode.d1.loss_dice: 0.6065, decode.d2.loss_cls: 0.1439, decode.d2.loss_mask: 0.3995, decode.d2.loss_dice: 0.5941, decode.d3.loss_cls: 0.1330, decode.d3.loss_mask: 0.3970, decode.d3.loss_dice: 0.5849, decode.d4.loss_cls: 0.1294, decode.d4.loss_mask: 0.3969, decode.d4.loss_dice: 0.5822, decode.d5.loss_cls: 0.1262, decode.d5.loss_mask: 0.3958, decode.d5.loss_dice: 0.5857, decode.d6.loss_cls: 0.1226, decode.d6.loss_mask: 0.3951, decode.d6.loss_dice: 0.5818, decode.d7.loss_cls: 0.1223, decode.d7.loss_mask: 0.3942, decode.d7.loss_dice: 0.5832, decode.d8.loss_cls: 0.1202, decode.d8.loss_mask: 0.3948, decode.d8.loss_dice: 0.5833, loss: 12.1480, grad_norm: 45.4915 2023-11-12 20:26:37,438 - mmseg - INFO - Iter [156600/160000] lr: 2.126e-06, eta: 0:28:15, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1186, decode.loss_mask: 0.4116, decode.loss_dice: 0.6095, decode.d0.loss_cls: 1.0517, decode.d0.loss_mask: 0.4414, decode.d0.loss_dice: 0.6626, decode.d1.loss_cls: 0.1785, decode.d1.loss_mask: 0.4217, decode.d1.loss_dice: 0.6326, decode.d2.loss_cls: 0.1459, decode.d2.loss_mask: 0.4164, decode.d2.loss_dice: 0.6186, decode.d3.loss_cls: 0.1366, decode.d3.loss_mask: 0.4127, decode.d3.loss_dice: 0.6109, decode.d4.loss_cls: 0.1302, decode.d4.loss_mask: 0.4138, decode.d4.loss_dice: 0.6090, decode.d5.loss_cls: 0.1253, decode.d5.loss_mask: 0.4139, decode.d5.loss_dice: 0.6084, decode.d6.loss_cls: 0.1222, decode.d6.loss_mask: 0.4115, decode.d6.loss_dice: 0.6102, decode.d7.loss_cls: 0.1195, decode.d7.loss_mask: 0.4131, decode.d7.loss_dice: 0.6103, decode.d8.loss_cls: 0.1211, decode.d8.loss_mask: 0.4118, decode.d8.loss_dice: 0.6073, loss: 12.5968, grad_norm: 46.7111 2023-11-12 20:27:03,551 - mmseg - INFO - Iter [156650/160000] lr: 2.094e-06, eta: 0:27:50, time: 0.522, data_time: 0.058, memory: 41146, decode.loss_cls: 0.1164, decode.loss_mask: 0.3853, decode.loss_dice: 0.5885, decode.d0.loss_cls: 1.0600, decode.d0.loss_mask: 0.4144, decode.d0.loss_dice: 0.6380, decode.d1.loss_cls: 0.1688, decode.d1.loss_mask: 0.3960, decode.d1.loss_dice: 0.6129, decode.d2.loss_cls: 0.1404, decode.d2.loss_mask: 0.3920, decode.d2.loss_dice: 0.6037, decode.d3.loss_cls: 0.1350, decode.d3.loss_mask: 0.3889, decode.d3.loss_dice: 0.5956, decode.d4.loss_cls: 0.1245, decode.d4.loss_mask: 0.3875, decode.d4.loss_dice: 0.5915, decode.d5.loss_cls: 0.1240, decode.d5.loss_mask: 0.3847, decode.d5.loss_dice: 0.5905, decode.d6.loss_cls: 0.1230, decode.d6.loss_mask: 0.3847, decode.d6.loss_dice: 0.5902, decode.d7.loss_cls: 0.1191, decode.d7.loss_mask: 0.3856, decode.d7.loss_dice: 0.5889, decode.d8.loss_cls: 0.1179, decode.d8.loss_mask: 0.3847, decode.d8.loss_dice: 0.5914, loss: 12.1243, grad_norm: 41.3828 2023-11-12 20:27:27,178 - mmseg - INFO - Iter [156700/160000] lr: 2.063e-06, eta: 0:27:25, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1202, decode.loss_mask: 0.3984, decode.loss_dice: 0.5921, decode.d0.loss_cls: 1.0878, decode.d0.loss_mask: 0.4243, decode.d0.loss_dice: 0.6435, decode.d1.loss_cls: 0.1766, decode.d1.loss_mask: 0.4074, decode.d1.loss_dice: 0.6204, decode.d2.loss_cls: 0.1555, decode.d2.loss_mask: 0.4026, decode.d2.loss_dice: 0.6030, decode.d3.loss_cls: 0.1395, decode.d3.loss_mask: 0.4005, decode.d3.loss_dice: 0.5986, decode.d4.loss_cls: 0.1318, decode.d4.loss_mask: 0.3989, decode.d4.loss_dice: 0.5973, decode.d5.loss_cls: 0.1288, decode.d5.loss_mask: 0.3986, decode.d5.loss_dice: 0.5962, decode.d6.loss_cls: 0.1265, decode.d6.loss_mask: 0.3990, decode.d6.loss_dice: 0.5920, decode.d7.loss_cls: 0.1223, decode.d7.loss_mask: 0.3980, decode.d7.loss_dice: 0.5926, decode.d8.loss_cls: 0.1203, decode.d8.loss_mask: 0.3972, decode.d8.loss_dice: 0.5929, loss: 12.3629, grad_norm: 45.1458 2023-11-12 20:27:50,934 - mmseg - INFO - Iter [156750/160000] lr: 2.032e-06, eta: 0:27:00, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1378, decode.loss_mask: 0.3864, decode.loss_dice: 0.6104, decode.d0.loss_cls: 1.1128, decode.d0.loss_mask: 0.4149, decode.d0.loss_dice: 0.6651, decode.d1.loss_cls: 0.1956, decode.d1.loss_mask: 0.3984, decode.d1.loss_dice: 0.6371, decode.d2.loss_cls: 0.1750, decode.d2.loss_mask: 0.3912, decode.d2.loss_dice: 0.6232, decode.d3.loss_cls: 0.1611, decode.d3.loss_mask: 0.3882, decode.d3.loss_dice: 0.6159, decode.d4.loss_cls: 0.1494, decode.d4.loss_mask: 0.3872, decode.d4.loss_dice: 0.6129, decode.d5.loss_cls: 0.1455, decode.d5.loss_mask: 0.3887, decode.d5.loss_dice: 0.6145, decode.d6.loss_cls: 0.1455, decode.d6.loss_mask: 0.3873, decode.d6.loss_dice: 0.6083, decode.d7.loss_cls: 0.1414, decode.d7.loss_mask: 0.3875, decode.d7.loss_dice: 0.6125, decode.d8.loss_cls: 0.1373, decode.d8.loss_mask: 0.3875, decode.d8.loss_dice: 0.6116, loss: 12.6303, grad_norm: 43.5809 2023-11-12 20:28:14,632 - mmseg - INFO - Iter [156800/160000] lr: 2.001e-06, eta: 0:26:35, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1195, decode.loss_mask: 0.3898, decode.loss_dice: 0.6029, decode.d0.loss_cls: 1.0715, decode.d0.loss_mask: 0.4196, decode.d0.loss_dice: 0.6555, decode.d1.loss_cls: 0.1801, decode.d1.loss_mask: 0.3993, decode.d1.loss_dice: 0.6323, decode.d2.loss_cls: 0.1529, decode.d2.loss_mask: 0.3947, decode.d2.loss_dice: 0.6159, decode.d3.loss_cls: 0.1431, decode.d3.loss_mask: 0.3915, decode.d3.loss_dice: 0.6023, decode.d4.loss_cls: 0.1339, decode.d4.loss_mask: 0.3909, decode.d4.loss_dice: 0.6060, decode.d5.loss_cls: 0.1302, decode.d5.loss_mask: 0.3908, decode.d5.loss_dice: 0.6054, decode.d6.loss_cls: 0.1272, decode.d6.loss_mask: 0.3906, decode.d6.loss_dice: 0.6012, decode.d7.loss_cls: 0.1241, decode.d7.loss_mask: 0.3902, decode.d7.loss_dice: 0.5978, decode.d8.loss_cls: 0.1217, decode.d8.loss_mask: 0.3908, decode.d8.loss_dice: 0.6034, loss: 12.3752, grad_norm: 39.4580 2023-11-12 20:28:38,396 - mmseg - INFO - Iter [156850/160000] lr: 1.969e-06, eta: 0:26:10, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1245, decode.loss_mask: 0.3884, decode.loss_dice: 0.5838, decode.d0.loss_cls: 1.0578, decode.d0.loss_mask: 0.4191, decode.d0.loss_dice: 0.6275, decode.d1.loss_cls: 0.1778, decode.d1.loss_mask: 0.3989, decode.d1.loss_dice: 0.6103, decode.d2.loss_cls: 0.1538, decode.d2.loss_mask: 0.3921, decode.d2.loss_dice: 0.5990, decode.d3.loss_cls: 0.1506, decode.d3.loss_mask: 0.3888, decode.d3.loss_dice: 0.5868, decode.d4.loss_cls: 0.1412, decode.d4.loss_mask: 0.3884, decode.d4.loss_dice: 0.5858, decode.d5.loss_cls: 0.1317, decode.d5.loss_mask: 0.3885, decode.d5.loss_dice: 0.5904, decode.d6.loss_cls: 0.1337, decode.d6.loss_mask: 0.3886, decode.d6.loss_dice: 0.5820, decode.d7.loss_cls: 0.1304, decode.d7.loss_mask: 0.3890, decode.d7.loss_dice: 0.5842, decode.d8.loss_cls: 0.1270, decode.d8.loss_mask: 0.3883, decode.d8.loss_dice: 0.5835, loss: 12.1918, grad_norm: 40.7140 2023-11-12 20:29:02,084 - mmseg - INFO - Iter [156900/160000] lr: 1.938e-06, eta: 0:25:45, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1183, decode.loss_mask: 0.3939, decode.loss_dice: 0.5973, decode.d0.loss_cls: 1.0582, decode.d0.loss_mask: 0.4244, decode.d0.loss_dice: 0.6440, decode.d1.loss_cls: 0.1819, decode.d1.loss_mask: 0.4031, decode.d1.loss_dice: 0.6214, decode.d2.loss_cls: 0.1571, decode.d2.loss_mask: 0.3998, decode.d2.loss_dice: 0.6101, decode.d3.loss_cls: 0.1348, decode.d3.loss_mask: 0.3983, decode.d3.loss_dice: 0.6037, decode.d4.loss_cls: 0.1281, decode.d4.loss_mask: 0.3973, decode.d4.loss_dice: 0.6023, decode.d5.loss_cls: 0.1255, decode.d5.loss_mask: 0.3969, decode.d5.loss_dice: 0.6016, decode.d6.loss_cls: 0.1247, decode.d6.loss_mask: 0.3953, decode.d6.loss_dice: 0.5961, decode.d7.loss_cls: 0.1219, decode.d7.loss_mask: 0.3962, decode.d7.loss_dice: 0.6021, decode.d8.loss_cls: 0.1253, decode.d8.loss_mask: 0.3952, decode.d8.loss_dice: 0.5965, loss: 12.3512, grad_norm: 43.7015 2023-11-12 20:29:25,733 - mmseg - INFO - Iter [156950/160000] lr: 1.907e-06, eta: 0:25:20, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1210, decode.loss_mask: 0.4012, decode.loss_dice: 0.6019, decode.d0.loss_cls: 1.0447, decode.d0.loss_mask: 0.4314, decode.d0.loss_dice: 0.6482, decode.d1.loss_cls: 0.1829, decode.d1.loss_mask: 0.4104, decode.d1.loss_dice: 0.6215, decode.d2.loss_cls: 0.1462, decode.d2.loss_mask: 0.4071, decode.d2.loss_dice: 0.6183, decode.d3.loss_cls: 0.1338, decode.d3.loss_mask: 0.4045, decode.d3.loss_dice: 0.6096, decode.d4.loss_cls: 0.1290, decode.d4.loss_mask: 0.4034, decode.d4.loss_dice: 0.6057, decode.d5.loss_cls: 0.1272, decode.d5.loss_mask: 0.4021, decode.d5.loss_dice: 0.6063, decode.d6.loss_cls: 0.1199, decode.d6.loss_mask: 0.4030, decode.d6.loss_dice: 0.6012, decode.d7.loss_cls: 0.1199, decode.d7.loss_mask: 0.4023, decode.d7.loss_dice: 0.6043, decode.d8.loss_cls: 0.1202, decode.d8.loss_mask: 0.4014, decode.d8.loss_dice: 0.6045, loss: 12.4332, grad_norm: 46.7133 2023-11-12 20:29:49,718 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 20:29:49,719 - mmseg - INFO - Iter [157000/160000] lr: 1.876e-06, eta: 0:24:55, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1158, decode.loss_mask: 0.3937, decode.loss_dice: 0.5957, decode.d0.loss_cls: 1.0629, decode.d0.loss_mask: 0.4273, decode.d0.loss_dice: 0.6454, decode.d1.loss_cls: 0.1788, decode.d1.loss_mask: 0.4050, decode.d1.loss_dice: 0.6191, decode.d2.loss_cls: 0.1476, decode.d2.loss_mask: 0.3987, decode.d2.loss_dice: 0.6074, decode.d3.loss_cls: 0.1346, decode.d3.loss_mask: 0.3964, decode.d3.loss_dice: 0.5969, decode.d4.loss_cls: 0.1251, decode.d4.loss_mask: 0.3961, decode.d4.loss_dice: 0.5992, decode.d5.loss_cls: 0.1207, decode.d5.loss_mask: 0.3953, decode.d5.loss_dice: 0.5978, decode.d6.loss_cls: 0.1222, decode.d6.loss_mask: 0.3934, decode.d6.loss_dice: 0.5956, decode.d7.loss_cls: 0.1183, decode.d7.loss_mask: 0.3930, decode.d7.loss_dice: 0.5972, decode.d8.loss_cls: 0.1167, decode.d8.loss_mask: 0.3938, decode.d8.loss_dice: 0.5945, loss: 12.2842, grad_norm: 43.1882 2023-11-12 20:30:13,556 - mmseg - INFO - Iter [157050/160000] lr: 1.844e-06, eta: 0:24:30, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1315, decode.loss_mask: 0.4051, decode.loss_dice: 0.6138, decode.d0.loss_cls: 1.0830, decode.d0.loss_mask: 0.4385, decode.d0.loss_dice: 0.6687, decode.d1.loss_cls: 0.1858, decode.d1.loss_mask: 0.4162, decode.d1.loss_dice: 0.6356, decode.d2.loss_cls: 0.1525, decode.d2.loss_mask: 0.4118, decode.d2.loss_dice: 0.6261, decode.d3.loss_cls: 0.1406, decode.d3.loss_mask: 0.4081, decode.d3.loss_dice: 0.6188, decode.d4.loss_cls: 0.1379, decode.d4.loss_mask: 0.4068, decode.d4.loss_dice: 0.6197, decode.d5.loss_cls: 0.1332, decode.d5.loss_mask: 0.4063, decode.d5.loss_dice: 0.6172, decode.d6.loss_cls: 0.1300, decode.d6.loss_mask: 0.4048, decode.d6.loss_dice: 0.6171, decode.d7.loss_cls: 0.1299, decode.d7.loss_mask: 0.4058, decode.d7.loss_dice: 0.6168, decode.d8.loss_cls: 0.1303, decode.d8.loss_mask: 0.4061, decode.d8.loss_dice: 0.6155, loss: 12.7134, grad_norm: 45.8790 2023-11-12 20:30:37,486 - mmseg - INFO - Iter [157100/160000] lr: 1.813e-06, eta: 0:24:05, time: 0.479, data_time: 0.011, memory: 41146, decode.loss_cls: 0.1349, decode.loss_mask: 0.4024, decode.loss_dice: 0.6266, decode.d0.loss_cls: 1.0809, decode.d0.loss_mask: 0.4289, decode.d0.loss_dice: 0.6665, decode.d1.loss_cls: 0.1962, decode.d1.loss_mask: 0.4123, decode.d1.loss_dice: 0.6487, decode.d2.loss_cls: 0.1702, decode.d2.loss_mask: 0.4059, decode.d2.loss_dice: 0.6354, decode.d3.loss_cls: 0.1567, decode.d3.loss_mask: 0.4043, decode.d3.loss_dice: 0.6290, decode.d4.loss_cls: 0.1498, decode.d4.loss_mask: 0.4034, decode.d4.loss_dice: 0.6254, decode.d5.loss_cls: 0.1475, decode.d5.loss_mask: 0.4037, decode.d5.loss_dice: 0.6262, decode.d6.loss_cls: 0.1442, decode.d6.loss_mask: 0.4017, decode.d6.loss_dice: 0.6215, decode.d7.loss_cls: 0.1426, decode.d7.loss_mask: 0.4009, decode.d7.loss_dice: 0.6231, decode.d8.loss_cls: 0.1416, decode.d8.loss_mask: 0.4017, decode.d8.loss_dice: 0.6241, loss: 12.8562, grad_norm: 46.5847 2023-11-12 20:31:01,117 - mmseg - INFO - Iter [157150/160000] lr: 1.782e-06, eta: 0:23:40, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1378, decode.loss_mask: 0.3878, decode.loss_dice: 0.6096, decode.d0.loss_cls: 1.0805, decode.d0.loss_mask: 0.4182, decode.d0.loss_dice: 0.6598, decode.d1.loss_cls: 0.1948, decode.d1.loss_mask: 0.3996, decode.d1.loss_dice: 0.6449, decode.d2.loss_cls: 0.1604, decode.d2.loss_mask: 0.3942, decode.d2.loss_dice: 0.6301, decode.d3.loss_cls: 0.1567, decode.d3.loss_mask: 0.3903, decode.d3.loss_dice: 0.6156, decode.d4.loss_cls: 0.1467, decode.d4.loss_mask: 0.3896, decode.d4.loss_dice: 0.6136, decode.d5.loss_cls: 0.1444, decode.d5.loss_mask: 0.3879, decode.d5.loss_dice: 0.6157, decode.d6.loss_cls: 0.1357, decode.d6.loss_mask: 0.3877, decode.d6.loss_dice: 0.6160, decode.d7.loss_cls: 0.1388, decode.d7.loss_mask: 0.3860, decode.d7.loss_dice: 0.6125, decode.d8.loss_cls: 0.1353, decode.d8.loss_mask: 0.3868, decode.d8.loss_dice: 0.6102, loss: 12.5870, grad_norm: 41.2823 2023-11-12 20:31:24,857 - mmseg - INFO - Iter [157200/160000] lr: 1.751e-06, eta: 0:23:15, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1329, decode.loss_mask: 0.4104, decode.loss_dice: 0.6152, decode.d0.loss_cls: 1.1061, decode.d0.loss_mask: 0.4414, decode.d0.loss_dice: 0.6706, decode.d1.loss_cls: 0.1968, decode.d1.loss_mask: 0.4204, decode.d1.loss_dice: 0.6390, decode.d2.loss_cls: 0.1611, decode.d2.loss_mask: 0.4151, decode.d2.loss_dice: 0.6297, decode.d3.loss_cls: 0.1508, decode.d3.loss_mask: 0.4115, decode.d3.loss_dice: 0.6176, decode.d4.loss_cls: 0.1424, decode.d4.loss_mask: 0.4103, decode.d4.loss_dice: 0.6192, decode.d5.loss_cls: 0.1405, decode.d5.loss_mask: 0.4101, decode.d5.loss_dice: 0.6174, decode.d6.loss_cls: 0.1376, decode.d6.loss_mask: 0.4102, decode.d6.loss_dice: 0.6149, decode.d7.loss_cls: 0.1360, decode.d7.loss_mask: 0.4099, decode.d7.loss_dice: 0.6147, decode.d8.loss_cls: 0.1370, decode.d8.loss_mask: 0.4104, decode.d8.loss_dice: 0.6152, loss: 12.8444, grad_norm: 46.9653 2023-11-12 20:31:48,760 - mmseg - INFO - Iter [157250/160000] lr: 1.719e-06, eta: 0:22:50, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1179, decode.loss_mask: 0.3835, decode.loss_dice: 0.5978, decode.d0.loss_cls: 1.0844, decode.d0.loss_mask: 0.4104, decode.d0.loss_dice: 0.6451, decode.d1.loss_cls: 0.1788, decode.d1.loss_mask: 0.3930, decode.d1.loss_dice: 0.6239, decode.d2.loss_cls: 0.1454, decode.d2.loss_mask: 0.3879, decode.d2.loss_dice: 0.6137, decode.d3.loss_cls: 0.1329, decode.d3.loss_mask: 0.3847, decode.d3.loss_dice: 0.6007, decode.d4.loss_cls: 0.1278, decode.d4.loss_mask: 0.3838, decode.d4.loss_dice: 0.6002, decode.d5.loss_cls: 0.1228, decode.d5.loss_mask: 0.3832, decode.d5.loss_dice: 0.6000, decode.d6.loss_cls: 0.1191, decode.d6.loss_mask: 0.3835, decode.d6.loss_dice: 0.5986, decode.d7.loss_cls: 0.1201, decode.d7.loss_mask: 0.3844, decode.d7.loss_dice: 0.5987, decode.d8.loss_cls: 0.1187, decode.d8.loss_mask: 0.3836, decode.d8.loss_dice: 0.5999, loss: 12.2243, grad_norm: 42.6870 2023-11-12 20:32:12,574 - mmseg - INFO - Iter [157300/160000] lr: 1.688e-06, eta: 0:22:25, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1341, decode.loss_mask: 0.3857, decode.loss_dice: 0.6050, decode.d0.loss_cls: 1.0918, decode.d0.loss_mask: 0.4107, decode.d0.loss_dice: 0.6517, decode.d1.loss_cls: 0.1942, decode.d1.loss_mask: 0.3944, decode.d1.loss_dice: 0.6273, decode.d2.loss_cls: 0.1698, decode.d2.loss_mask: 0.3883, decode.d2.loss_dice: 0.6145, decode.d3.loss_cls: 0.1525, decode.d3.loss_mask: 0.3867, decode.d3.loss_dice: 0.6063, decode.d4.loss_cls: 0.1474, decode.d4.loss_mask: 0.3859, decode.d4.loss_dice: 0.6054, decode.d5.loss_cls: 0.1448, decode.d5.loss_mask: 0.3865, decode.d5.loss_dice: 0.6066, decode.d6.loss_cls: 0.1407, decode.d6.loss_mask: 0.3862, decode.d6.loss_dice: 0.6040, decode.d7.loss_cls: 0.1416, decode.d7.loss_mask: 0.3853, decode.d7.loss_dice: 0.6069, decode.d8.loss_cls: 0.1387, decode.d8.loss_mask: 0.3854, decode.d8.loss_dice: 0.6040, loss: 12.4825, grad_norm: 41.3980 2023-11-12 20:32:36,183 - mmseg - INFO - Iter [157350/160000] lr: 1.657e-06, eta: 0:22:00, time: 0.472, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1361, decode.loss_mask: 0.4132, decode.loss_dice: 0.6157, decode.d0.loss_cls: 1.0941, decode.d0.loss_mask: 0.4357, decode.d0.loss_dice: 0.6582, decode.d1.loss_cls: 0.1860, decode.d1.loss_mask: 0.4226, decode.d1.loss_dice: 0.6378, decode.d2.loss_cls: 0.1611, decode.d2.loss_mask: 0.4167, decode.d2.loss_dice: 0.6266, decode.d3.loss_cls: 0.1517, decode.d3.loss_mask: 0.4144, decode.d3.loss_dice: 0.6187, decode.d4.loss_cls: 0.1436, decode.d4.loss_mask: 0.4132, decode.d4.loss_dice: 0.6168, decode.d5.loss_cls: 0.1404, decode.d5.loss_mask: 0.4142, decode.d5.loss_dice: 0.6191, decode.d6.loss_cls: 0.1398, decode.d6.loss_mask: 0.4138, decode.d6.loss_dice: 0.6146, decode.d7.loss_cls: 0.1388, decode.d7.loss_mask: 0.4122, decode.d7.loss_dice: 0.6123, decode.d8.loss_cls: 0.1365, decode.d8.loss_mask: 0.4130, decode.d8.loss_dice: 0.6131, loss: 12.8301, grad_norm: 46.1221 2023-11-12 20:33:00,131 - mmseg - INFO - Iter [157400/160000] lr: 1.626e-06, eta: 0:21:36, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1287, decode.loss_mask: 0.3827, decode.loss_dice: 0.5980, decode.d0.loss_cls: 1.0907, decode.d0.loss_mask: 0.4138, decode.d0.loss_dice: 0.6483, decode.d1.loss_cls: 0.1876, decode.d1.loss_mask: 0.3954, decode.d1.loss_dice: 0.6253, decode.d2.loss_cls: 0.1642, decode.d2.loss_mask: 0.3873, decode.d2.loss_dice: 0.6091, decode.d3.loss_cls: 0.1414, decode.d3.loss_mask: 0.3853, decode.d3.loss_dice: 0.6055, decode.d4.loss_cls: 0.1403, decode.d4.loss_mask: 0.3843, decode.d4.loss_dice: 0.5991, decode.d5.loss_cls: 0.1322, decode.d5.loss_mask: 0.3842, decode.d5.loss_dice: 0.6001, decode.d6.loss_cls: 0.1319, decode.d6.loss_mask: 0.3829, decode.d6.loss_dice: 0.5983, decode.d7.loss_cls: 0.1313, decode.d7.loss_mask: 0.3827, decode.d7.loss_dice: 0.5973, decode.d8.loss_cls: 0.1274, decode.d8.loss_mask: 0.3820, decode.d8.loss_dice: 0.5991, loss: 12.3363, grad_norm: 42.1203 2023-11-12 20:33:24,131 - mmseg - INFO - Iter [157450/160000] lr: 1.594e-06, eta: 0:21:11, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1270, decode.loss_mask: 0.3952, decode.loss_dice: 0.5994, decode.d0.loss_cls: 1.0755, decode.d0.loss_mask: 0.4220, decode.d0.loss_dice: 0.6487, decode.d1.loss_cls: 0.1844, decode.d1.loss_mask: 0.4042, decode.d1.loss_dice: 0.6233, decode.d2.loss_cls: 0.1552, decode.d2.loss_mask: 0.3994, decode.d2.loss_dice: 0.6109, decode.d3.loss_cls: 0.1406, decode.d3.loss_mask: 0.3974, decode.d3.loss_dice: 0.6081, decode.d4.loss_cls: 0.1365, decode.d4.loss_mask: 0.3967, decode.d4.loss_dice: 0.6055, decode.d5.loss_cls: 0.1301, decode.d5.loss_mask: 0.3967, decode.d5.loss_dice: 0.6031, decode.d6.loss_cls: 0.1268, decode.d6.loss_mask: 0.3959, decode.d6.loss_dice: 0.6032, decode.d7.loss_cls: 0.1297, decode.d7.loss_mask: 0.3947, decode.d7.loss_dice: 0.6005, decode.d8.loss_cls: 0.1244, decode.d8.loss_mask: 0.3949, decode.d8.loss_dice: 0.6036, loss: 12.4335, grad_norm: 43.0627 2023-11-12 20:33:48,139 - mmseg - INFO - Iter [157500/160000] lr: 1.563e-06, eta: 0:20:46, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1284, decode.loss_mask: 0.3884, decode.loss_dice: 0.5963, decode.d0.loss_cls: 1.1000, decode.d0.loss_mask: 0.4173, decode.d0.loss_dice: 0.6469, decode.d1.loss_cls: 0.1801, decode.d1.loss_mask: 0.4008, decode.d1.loss_dice: 0.6210, decode.d2.loss_cls: 0.1516, decode.d2.loss_mask: 0.3949, decode.d2.loss_dice: 0.6060, decode.d3.loss_cls: 0.1449, decode.d3.loss_mask: 0.3920, decode.d3.loss_dice: 0.5959, decode.d4.loss_cls: 0.1378, decode.d4.loss_mask: 0.3896, decode.d4.loss_dice: 0.5967, decode.d5.loss_cls: 0.1354, decode.d5.loss_mask: 0.3897, decode.d5.loss_dice: 0.5953, decode.d6.loss_cls: 0.1332, decode.d6.loss_mask: 0.3885, decode.d6.loss_dice: 0.5935, decode.d7.loss_cls: 0.1319, decode.d7.loss_mask: 0.3883, decode.d7.loss_dice: 0.5940, decode.d8.loss_cls: 0.1270, decode.d8.loss_mask: 0.3888, decode.d8.loss_dice: 0.5951, loss: 12.3493, grad_norm: 46.1808 2023-11-12 20:34:11,923 - mmseg - INFO - Iter [157550/160000] lr: 1.532e-06, eta: 0:20:21, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1312, decode.loss_mask: 0.4110, decode.loss_dice: 0.6069, decode.d0.loss_cls: 1.0669, decode.d0.loss_mask: 0.4434, decode.d0.loss_dice: 0.6547, decode.d1.loss_cls: 0.1830, decode.d1.loss_mask: 0.4227, decode.d1.loss_dice: 0.6305, decode.d2.loss_cls: 0.1579, decode.d2.loss_mask: 0.4172, decode.d2.loss_dice: 0.6160, decode.d3.loss_cls: 0.1449, decode.d3.loss_mask: 0.4143, decode.d3.loss_dice: 0.6123, decode.d4.loss_cls: 0.1366, decode.d4.loss_mask: 0.4127, decode.d4.loss_dice: 0.6116, decode.d5.loss_cls: 0.1333, decode.d5.loss_mask: 0.4119, decode.d5.loss_dice: 0.6102, decode.d6.loss_cls: 0.1346, decode.d6.loss_mask: 0.4108, decode.d6.loss_dice: 0.6065, decode.d7.loss_cls: 0.1320, decode.d7.loss_mask: 0.4118, decode.d7.loss_dice: 0.6117, decode.d8.loss_cls: 0.1323, decode.d8.loss_mask: 0.4120, decode.d8.loss_dice: 0.6103, loss: 12.6914, grad_norm: 44.3168 2023-11-12 20:34:35,728 - mmseg - INFO - Iter [157600/160000] lr: 1.501e-06, eta: 0:19:56, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1209, decode.loss_mask: 0.3752, decode.loss_dice: 0.5913, decode.d0.loss_cls: 1.0892, decode.d0.loss_mask: 0.4013, decode.d0.loss_dice: 0.6386, decode.d1.loss_cls: 0.1775, decode.d1.loss_mask: 0.3861, decode.d1.loss_dice: 0.6154, decode.d2.loss_cls: 0.1455, decode.d2.loss_mask: 0.3823, decode.d2.loss_dice: 0.6039, decode.d3.loss_cls: 0.1363, decode.d3.loss_mask: 0.3781, decode.d3.loss_dice: 0.5955, decode.d4.loss_cls: 0.1294, decode.d4.loss_mask: 0.3763, decode.d4.loss_dice: 0.5957, decode.d5.loss_cls: 0.1277, decode.d5.loss_mask: 0.3757, decode.d5.loss_dice: 0.5932, decode.d6.loss_cls: 0.1244, decode.d6.loss_mask: 0.3739, decode.d6.loss_dice: 0.5906, decode.d7.loss_cls: 0.1216, decode.d7.loss_mask: 0.3733, decode.d7.loss_dice: 0.5918, decode.d8.loss_cls: 0.1203, decode.d8.loss_mask: 0.3749, decode.d8.loss_dice: 0.5919, loss: 12.0978, grad_norm: 40.7010 2023-11-12 20:34:59,421 - mmseg - INFO - Iter [157650/160000] lr: 1.469e-06, eta: 0:19:31, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1371, decode.loss_mask: 0.3832, decode.loss_dice: 0.6112, decode.d0.loss_cls: 1.0942, decode.d0.loss_mask: 0.4107, decode.d0.loss_dice: 0.6626, decode.d1.loss_cls: 0.1861, decode.d1.loss_mask: 0.3916, decode.d1.loss_dice: 0.6304, decode.d2.loss_cls: 0.1644, decode.d2.loss_mask: 0.3881, decode.d2.loss_dice: 0.6238, decode.d3.loss_cls: 0.1551, decode.d3.loss_mask: 0.3857, decode.d3.loss_dice: 0.6162, decode.d4.loss_cls: 0.1487, decode.d4.loss_mask: 0.3855, decode.d4.loss_dice: 0.6175, decode.d5.loss_cls: 0.1431, decode.d5.loss_mask: 0.3839, decode.d5.loss_dice: 0.6116, decode.d6.loss_cls: 0.1404, decode.d6.loss_mask: 0.3840, decode.d6.loss_dice: 0.6101, decode.d7.loss_cls: 0.1356, decode.d7.loss_mask: 0.3835, decode.d7.loss_dice: 0.6141, decode.d8.loss_cls: 0.1397, decode.d8.loss_mask: 0.3828, decode.d8.loss_dice: 0.6134, loss: 12.5343, grad_norm: 44.6871 2023-11-12 20:35:23,207 - mmseg - INFO - Iter [157700/160000] lr: 1.438e-06, eta: 0:19:06, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1304, decode.loss_mask: 0.3954, decode.loss_dice: 0.6099, decode.d0.loss_cls: 1.0805, decode.d0.loss_mask: 0.4212, decode.d0.loss_dice: 0.6515, decode.d1.loss_cls: 0.1825, decode.d1.loss_mask: 0.4026, decode.d1.loss_dice: 0.6302, decode.d2.loss_cls: 0.1590, decode.d2.loss_mask: 0.3977, decode.d2.loss_dice: 0.6205, decode.d3.loss_cls: 0.1451, decode.d3.loss_mask: 0.3946, decode.d3.loss_dice: 0.6102, decode.d4.loss_cls: 0.1356, decode.d4.loss_mask: 0.3955, decode.d4.loss_dice: 0.6110, decode.d5.loss_cls: 0.1372, decode.d5.loss_mask: 0.3954, decode.d5.loss_dice: 0.6104, decode.d6.loss_cls: 0.1327, decode.d6.loss_mask: 0.3947, decode.d6.loss_dice: 0.6099, decode.d7.loss_cls: 0.1276, decode.d7.loss_mask: 0.3950, decode.d7.loss_dice: 0.6115, decode.d8.loss_cls: 0.1313, decode.d8.loss_mask: 0.3941, decode.d8.loss_dice: 0.6090, loss: 12.5221, grad_norm: 45.5456 2023-11-12 20:35:46,998 - mmseg - INFO - Iter [157750/160000] lr: 1.407e-06, eta: 0:18:41, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1312, decode.loss_mask: 0.3864, decode.loss_dice: 0.5914, decode.d0.loss_cls: 1.0999, decode.d0.loss_mask: 0.4165, decode.d0.loss_dice: 0.6449, decode.d1.loss_cls: 0.1974, decode.d1.loss_mask: 0.3995, decode.d1.loss_dice: 0.6234, decode.d2.loss_cls: 0.1645, decode.d2.loss_mask: 0.3920, decode.d2.loss_dice: 0.6061, decode.d3.loss_cls: 0.1513, decode.d3.loss_mask: 0.3897, decode.d3.loss_dice: 0.6006, decode.d4.loss_cls: 0.1477, decode.d4.loss_mask: 0.3885, decode.d4.loss_dice: 0.5967, decode.d5.loss_cls: 0.1404, decode.d5.loss_mask: 0.3872, decode.d5.loss_dice: 0.5947, decode.d6.loss_cls: 0.1379, decode.d6.loss_mask: 0.3861, decode.d6.loss_dice: 0.5886, decode.d7.loss_cls: 0.1344, decode.d7.loss_mask: 0.3859, decode.d7.loss_dice: 0.5917, decode.d8.loss_cls: 0.1358, decode.d8.loss_mask: 0.3844, decode.d8.loss_dice: 0.5934, loss: 12.3882, grad_norm: 42.9728 2023-11-12 20:36:10,997 - mmseg - INFO - Iter [157800/160000] lr: 1.376e-06, eta: 0:18:16, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1236, decode.loss_mask: 0.3940, decode.loss_dice: 0.6068, decode.d0.loss_cls: 1.0733, decode.d0.loss_mask: 0.4243, decode.d0.loss_dice: 0.6640, decode.d1.loss_cls: 0.1809, decode.d1.loss_mask: 0.4032, decode.d1.loss_dice: 0.6359, decode.d2.loss_cls: 0.1531, decode.d2.loss_mask: 0.4000, decode.d2.loss_dice: 0.6268, decode.d3.loss_cls: 0.1442, decode.d3.loss_mask: 0.3958, decode.d3.loss_dice: 0.6162, decode.d4.loss_cls: 0.1367, decode.d4.loss_mask: 0.3962, decode.d4.loss_dice: 0.6138, decode.d5.loss_cls: 0.1333, decode.d5.loss_mask: 0.3955, decode.d5.loss_dice: 0.6117, decode.d6.loss_cls: 0.1303, decode.d6.loss_mask: 0.3956, decode.d6.loss_dice: 0.6081, decode.d7.loss_cls: 0.1278, decode.d7.loss_mask: 0.3951, decode.d7.loss_dice: 0.6101, decode.d8.loss_cls: 0.1266, decode.d8.loss_mask: 0.3940, decode.d8.loss_dice: 0.6102, loss: 12.5271, grad_norm: 42.6323 2023-11-12 20:36:35,247 - mmseg - INFO - Iter [157850/160000] lr: 1.344e-06, eta: 0:17:51, time: 0.485, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1341, decode.loss_mask: 0.4047, decode.loss_dice: 0.6156, decode.d0.loss_cls: 1.0787, decode.d0.loss_mask: 0.4355, decode.d0.loss_dice: 0.6654, decode.d1.loss_cls: 0.1832, decode.d1.loss_mask: 0.4158, decode.d1.loss_dice: 0.6391, decode.d2.loss_cls: 0.1560, decode.d2.loss_mask: 0.4098, decode.d2.loss_dice: 0.6276, decode.d3.loss_cls: 0.1471, decode.d3.loss_mask: 0.4071, decode.d3.loss_dice: 0.6145, decode.d4.loss_cls: 0.1402, decode.d4.loss_mask: 0.4063, decode.d4.loss_dice: 0.6182, decode.d5.loss_cls: 0.1393, decode.d5.loss_mask: 0.4047, decode.d5.loss_dice: 0.6136, decode.d6.loss_cls: 0.1383, decode.d6.loss_mask: 0.4042, decode.d6.loss_dice: 0.6145, decode.d7.loss_cls: 0.1348, decode.d7.loss_mask: 0.4041, decode.d7.loss_dice: 0.6134, decode.d8.loss_cls: 0.1336, decode.d8.loss_mask: 0.4037, decode.d8.loss_dice: 0.6159, loss: 12.7190, grad_norm: 44.2812 2023-11-12 20:37:02,940 - mmseg - INFO - Iter [157900/160000] lr: 1.313e-06, eta: 0:17:26, time: 0.554, data_time: 0.059, memory: 41146, decode.loss_cls: 0.1276, decode.loss_mask: 0.3867, decode.loss_dice: 0.6125, decode.d0.loss_cls: 1.0932, decode.d0.loss_mask: 0.4160, decode.d0.loss_dice: 0.6655, decode.d1.loss_cls: 0.1868, decode.d1.loss_mask: 0.3981, decode.d1.loss_dice: 0.6391, decode.d2.loss_cls: 0.1529, decode.d2.loss_mask: 0.3909, decode.d2.loss_dice: 0.6258, decode.d3.loss_cls: 0.1437, decode.d3.loss_mask: 0.3871, decode.d3.loss_dice: 0.6118, decode.d4.loss_cls: 0.1379, decode.d4.loss_mask: 0.3874, decode.d4.loss_dice: 0.6109, decode.d5.loss_cls: 0.1295, decode.d5.loss_mask: 0.3873, decode.d5.loss_dice: 0.6161, decode.d6.loss_cls: 0.1300, decode.d6.loss_mask: 0.3871, decode.d6.loss_dice: 0.6117, decode.d7.loss_cls: 0.1291, decode.d7.loss_mask: 0.3868, decode.d7.loss_dice: 0.6112, decode.d8.loss_cls: 0.1227, decode.d8.loss_mask: 0.3870, decode.d8.loss_dice: 0.6131, loss: 12.4854, grad_norm: 42.5166 2023-11-12 20:37:27,556 - mmseg - INFO - Iter [157950/160000] lr: 1.282e-06, eta: 0:17:01, time: 0.492, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1199, decode.loss_mask: 0.4058, decode.loss_dice: 0.5849, decode.d0.loss_cls: 1.0532, decode.d0.loss_mask: 0.4338, decode.d0.loss_dice: 0.6256, decode.d1.loss_cls: 0.1671, decode.d1.loss_mask: 0.4148, decode.d1.loss_dice: 0.6070, decode.d2.loss_cls: 0.1505, decode.d2.loss_mask: 0.4097, decode.d2.loss_dice: 0.5937, decode.d3.loss_cls: 0.1354, decode.d3.loss_mask: 0.4066, decode.d3.loss_dice: 0.5868, decode.d4.loss_cls: 0.1245, decode.d4.loss_mask: 0.4074, decode.d4.loss_dice: 0.5857, decode.d5.loss_cls: 0.1254, decode.d5.loss_mask: 0.4076, decode.d5.loss_dice: 0.5893, decode.d6.loss_cls: 0.1222, decode.d6.loss_mask: 0.4049, decode.d6.loss_dice: 0.5821, decode.d7.loss_cls: 0.1239, decode.d7.loss_mask: 0.4059, decode.d7.loss_dice: 0.5872, decode.d8.loss_cls: 0.1179, decode.d8.loss_mask: 0.4049, decode.d8.loss_dice: 0.5833, loss: 12.2670, grad_norm: 46.5418 2023-11-12 20:37:51,315 - mmseg - INFO - Saving checkpoint at 158000 iterations 2023-11-12 20:37:55,043 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 20:37:55,043 - mmseg - INFO - Iter [158000/160000] lr: 1.251e-06, eta: 0:16:36, time: 0.550, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1209, decode.loss_mask: 0.3889, decode.loss_dice: 0.5846, decode.d0.loss_cls: 1.0645, decode.d0.loss_mask: 0.4165, decode.d0.loss_dice: 0.6365, decode.d1.loss_cls: 0.1766, decode.d1.loss_mask: 0.4008, decode.d1.loss_dice: 0.6101, decode.d2.loss_cls: 0.1525, decode.d2.loss_mask: 0.3948, decode.d2.loss_dice: 0.5983, decode.d3.loss_cls: 0.1371, decode.d3.loss_mask: 0.3929, decode.d3.loss_dice: 0.5894, decode.d4.loss_cls: 0.1304, decode.d4.loss_mask: 0.3919, decode.d4.loss_dice: 0.5925, decode.d5.loss_cls: 0.1241, decode.d5.loss_mask: 0.3917, decode.d5.loss_dice: 0.5895, decode.d6.loss_cls: 0.1254, decode.d6.loss_mask: 0.3896, decode.d6.loss_dice: 0.5855, decode.d7.loss_cls: 0.1234, decode.d7.loss_mask: 0.3895, decode.d7.loss_dice: 0.5863, decode.d8.loss_cls: 0.1228, decode.d8.loss_mask: 0.3897, decode.d8.loss_dice: 0.5912, loss: 12.1876, grad_norm: 43.6075 2023-11-12 20:38:14,424 - mmseg - INFO - per class results: 2023-11-12 20:38:14,429 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.36 | 88.27 | | building | 83.31 | 91.82 | | sky | 94.76 | 97.36 | | floor | 83.57 | 91.09 | | tree | 75.62 | 87.77 | | ceiling | 84.45 | 90.85 | | road | 85.48 | 91.67 | | bed | 91.29 | 96.18 | | windowpane | 64.71 | 80.5 | | grass | 66.79 | 79.58 | | cabinet | 64.98 | 76.43 | | sidewalk | 69.12 | 80.78 | | person | 84.59 | 93.25 | | earth | 42.44 | 58.94 | | door | 51.36 | 66.9 | | table | 67.7 | 81.95 | | mountain | 63.35 | 75.18 | | plant | 52.49 | 68.57 | | curtain | 78.14 | 88.77 | | chair | 63.54 | 76.15 | | car | 86.02 | 92.13 | | water | 49.66 | 62.99 | | painting | 78.6 | 88.59 | | sofa | 68.54 | 82.17 | | shelf | 43.1 | 59.75 | | house | 39.58 | 63.91 | | sea | 58.77 | 90.5 | | mirror | 70.81 | 80.6 | | rug | 64.17 | 76.71 | | field | 32.29 | 50.28 | | armchair | 47.96 | 67.99 | | seat | 59.67 | 80.5 | | fence | 51.87 | 69.66 | | desk | 56.09 | 75.21 | | rock | 49.44 | 77.17 | | wardrobe | 45.11 | 64.84 | | lamp | 71.54 | 83.96 | | bathtub | 80.94 | 86.77 | | railing | 36.99 | 54.58 | | cushion | 64.71 | 77.57 | | base | 36.58 | 59.51 | | box | 29.4 | 40.38 | | column | 45.98 | 56.66 | | signboard | 35.88 | 54.77 | | chest of drawers | 43.87 | 64.42 | | counter | 29.68 | 35.38 | | sand | 33.67 | 45.44 | | sink | 80.04 | 85.46 | | skyscraper | 37.58 | 43.44 | | fireplace | 77.84 | 96.76 | | refrigerator | 76.79 | 83.53 | | grandstand | 40.8 | 74.09 | | path | 31.0 | 46.41 | | stairs | 31.18 | 40.36 | | runway | 78.38 | 92.35 | | case | 64.89 | 80.34 | | pool table | 95.12 | 97.57 | | pillow | 63.23 | 77.06 | | screen door | 80.83 | 88.75 | | stairway | 34.42 | 41.27 | | river | 12.01 | 19.66 | | bridge | 73.94 | 88.76 | | bookcase | 38.71 | 64.56 | | blind | 49.65 | 55.35 | | coffee table | 68.53 | 85.9 | | toilet | 88.98 | 91.97 | | flower | 51.64 | 65.61 | | book | 50.44 | 71.95 | | hill | 8.04 | 14.67 | | bench | 64.68 | 74.42 | | countertop | 67.29 | 82.99 | | stove | 84.64 | 89.26 | | palm | 57.07 | 74.12 | | kitchen island | 58.44 | 90.01 | | computer | 72.0 | 78.86 | | swivel chair | 36.07 | 53.7 | | boat | 48.79 | 53.71 | | bar | 53.21 | 65.17 | | arcade machine | 84.53 | 89.69 | | hovel | 26.49 | 41.25 | | bus | 93.96 | 96.38 | | towel | 64.34 | 81.27 | | light | 62.51 | 71.57 | | truck | 32.25 | 56.76 | | tower | 37.59 | 63.3 | | chandelier | 70.53 | 85.63 | | awning | 34.59 | 45.23 | | streetlight | 42.13 | 63.25 | | booth | 36.66 | 72.66 | | television receiver | 73.44 | 82.96 | | airplane | 72.63 | 82.34 | | dirt track | 9.38 | 54.96 | | apparel | 26.3 | 48.33 | | pole | 31.31 | 48.58 | | land | 4.08 | 9.07 | | bannister | 19.27 | 31.75 | | escalator | 19.8 | 20.96 | | ottoman | 61.28 | 76.45 | | bottle | 28.89 | 36.05 | | buffet | 49.68 | 58.37 | | poster | 21.67 | 32.6 | | stage | 18.45 | 29.81 | | van | 49.5 | 65.25 | | ship | 4.47 | 10.59 | | fountain | 20.77 | 21.87 | | conveyer belt | 68.03 | 93.62 | | canopy | 31.9 | 47.43 | | washer | 70.82 | 73.44 | | plaything | 27.12 | 36.27 | | swimming pool | 34.99 | 37.4 | | stool | 45.73 | 71.26 | | barrel | 87.88 | 93.36 | | basket | 35.93 | 44.88 | | waterfall | 57.94 | 92.36 | | tent | 95.65 | 98.19 | | bag | 16.64 | 20.34 | | minibike | 75.9 | 92.08 | | cradle | 85.62 | 97.35 | | oven | 24.78 | 67.9 | | ball | 56.33 | 68.73 | | food | 62.65 | 77.58 | | step | 14.67 | 21.25 | | tank | 63.29 | 66.24 | | trade name | 29.62 | 36.52 | | microwave | 41.74 | 46.04 | | pot | 49.94 | 56.84 | | animal | 56.59 | 57.75 | | bicycle | 55.69 | 78.08 | | lake | 57.7 | 63.62 | | dishwasher | 80.2 | 86.23 | | screen | 61.75 | 93.12 | | blanket | 28.42 | 35.24 | | sculpture | 67.99 | 86.93 | | hood | 87.19 | 92.96 | | sconce | 56.57 | 67.68 | | vase | 50.26 | 67.88 | | traffic light | 43.56 | 67.65 | | tray | 15.78 | 26.85 | | ashcan | 53.95 | 68.81 | | fan | 70.99 | 84.89 | | pier | 33.89 | 44.44 | | crt screen | 3.29 | 9.99 | | plate | 57.85 | 71.74 | | monitor | 9.19 | 12.29 | | bulletin board | 52.34 | 77.48 | | shower | 4.79 | 23.99 | | radiator | 72.72 | 84.02 | | glass | 21.76 | 23.34 | | clock | 58.16 | 68.83 | | flag | 45.49 | 52.28 | +---------------------+-------+-------+ 2023-11-12 20:38:14,429 - mmseg - INFO - Summary: 2023-11-12 20:38:14,429 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.25 | 53.03 | 66.23 | +-------+-------+-------+ 2023-11-12 20:38:14,430 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 20:38:14,430 - mmseg - INFO - Iter(val) [250] aAcc: 0.8425, mIoU: 0.5303, mAcc: 0.6623, IoU.wall: 0.7936, IoU.building: 0.8331, IoU.sky: 0.9476, IoU.floor: 0.8357, IoU.tree: 0.7562, IoU.ceiling: 0.8445, IoU.road: 0.8548, IoU.bed : 0.9129, IoU.windowpane: 0.6471, IoU.grass: 0.6679, IoU.cabinet: 0.6498, IoU.sidewalk: 0.6912, IoU.person: 0.8459, IoU.earth: 0.4244, IoU.door: 0.5136, IoU.table: 0.6770, IoU.mountain: 0.6335, IoU.plant: 0.5249, IoU.curtain: 0.7814, IoU.chair: 0.6354, IoU.car: 0.8602, IoU.water: 0.4966, IoU.painting: 0.7860, IoU.sofa: 0.6854, IoU.shelf: 0.4310, IoU.house: 0.3958, IoU.sea: 0.5877, IoU.mirror: 0.7081, IoU.rug: 0.6417, IoU.field: 0.3229, IoU.armchair: 0.4796, IoU.seat: 0.5967, IoU.fence: 0.5187, IoU.desk: 0.5609, IoU.rock: 0.4944, IoU.wardrobe: 0.4511, IoU.lamp: 0.7154, IoU.bathtub: 0.8094, IoU.railing: 0.3699, IoU.cushion: 0.6471, IoU.base: 0.3658, IoU.box: 0.2940, IoU.column: 0.4598, IoU.signboard: 0.3588, IoU.chest of drawers: 0.4387, IoU.counter: 0.2968, IoU.sand: 0.3367, IoU.sink: 0.8004, IoU.skyscraper: 0.3758, IoU.fireplace: 0.7784, IoU.refrigerator: 0.7679, IoU.grandstand: 0.4080, IoU.path: 0.3100, IoU.stairs: 0.3118, IoU.runway: 0.7838, IoU.case: 0.6489, IoU.pool table: 0.9512, IoU.pillow: 0.6323, IoU.screen door: 0.8083, IoU.stairway: 0.3442, IoU.river: 0.1201, IoU.bridge: 0.7394, IoU.bookcase: 0.3871, IoU.blind: 0.4965, IoU.coffee table: 0.6853, IoU.toilet: 0.8898, IoU.flower: 0.5164, IoU.book: 0.5044, IoU.hill: 0.0804, IoU.bench: 0.6468, IoU.countertop: 0.6729, IoU.stove: 0.8464, IoU.palm: 0.5707, IoU.kitchen island: 0.5844, IoU.computer: 0.7200, IoU.swivel chair: 0.3607, IoU.boat: 0.4879, IoU.bar: 0.5321, IoU.arcade machine: 0.8453, IoU.hovel: 0.2649, IoU.bus: 0.9396, IoU.towel: 0.6434, IoU.light: 0.6251, IoU.truck: 0.3225, IoU.tower: 0.3759, IoU.chandelier: 0.7053, IoU.awning: 0.3459, IoU.streetlight: 0.4213, IoU.booth: 0.3666, IoU.television receiver: 0.7344, IoU.airplane: 0.7263, IoU.dirt track: 0.0938, IoU.apparel: 0.2630, IoU.pole: 0.3131, IoU.land: 0.0408, IoU.bannister: 0.1927, IoU.escalator: 0.1980, IoU.ottoman: 0.6128, IoU.bottle: 0.2889, IoU.buffet: 0.4968, IoU.poster: 0.2167, IoU.stage: 0.1845, IoU.van: 0.4950, IoU.ship: 0.0447, IoU.fountain: 0.2077, IoU.conveyer belt: 0.6803, IoU.canopy: 0.3190, IoU.washer: 0.7082, IoU.plaything: 0.2712, IoU.swimming pool: 0.3499, IoU.stool: 0.4573, IoU.barrel: 0.8788, IoU.basket: 0.3593, IoU.waterfall: 0.5794, IoU.tent: 0.9565, IoU.bag: 0.1664, IoU.minibike: 0.7590, IoU.cradle: 0.8562, IoU.oven: 0.2478, IoU.ball: 0.5633, IoU.food: 0.6265, IoU.step: 0.1467, IoU.tank: 0.6329, IoU.trade name: 0.2962, IoU.microwave: 0.4174, IoU.pot: 0.4994, IoU.animal: 0.5659, IoU.bicycle: 0.5569, IoU.lake: 0.5770, IoU.dishwasher: 0.8020, IoU.screen: 0.6175, IoU.blanket: 0.2842, IoU.sculpture: 0.6799, IoU.hood: 0.8719, IoU.sconce: 0.5657, IoU.vase: 0.5026, IoU.traffic light: 0.4356, IoU.tray: 0.1578, IoU.ashcan: 0.5395, IoU.fan: 0.7099, IoU.pier: 0.3389, IoU.crt screen: 0.0329, IoU.plate: 0.5785, IoU.monitor: 0.0919, IoU.bulletin board: 0.5234, IoU.shower: 0.0479, IoU.radiator: 0.7272, IoU.glass: 0.2176, IoU.clock: 0.5816, IoU.flag: 0.4549, Acc.wall: 0.8827, Acc.building: 0.9182, Acc.sky: 0.9736, Acc.floor: 0.9109, Acc.tree: 0.8777, Acc.ceiling: 0.9085, Acc.road: 0.9167, Acc.bed : 0.9618, Acc.windowpane: 0.8050, Acc.grass: 0.7958, Acc.cabinet: 0.7643, Acc.sidewalk: 0.8078, Acc.person: 0.9325, Acc.earth: 0.5894, Acc.door: 0.6690, Acc.table: 0.8195, Acc.mountain: 0.7518, Acc.plant: 0.6857, Acc.curtain: 0.8877, Acc.chair: 0.7615, Acc.car: 0.9213, Acc.water: 0.6299, Acc.painting: 0.8859, Acc.sofa: 0.8217, Acc.shelf: 0.5975, Acc.house: 0.6391, Acc.sea: 0.9050, Acc.mirror: 0.8060, Acc.rug: 0.7671, Acc.field: 0.5028, Acc.armchair: 0.6799, Acc.seat: 0.8050, Acc.fence: 0.6966, Acc.desk: 0.7521, Acc.rock: 0.7717, Acc.wardrobe: 0.6484, Acc.lamp: 0.8396, Acc.bathtub: 0.8677, Acc.railing: 0.5458, Acc.cushion: 0.7757, Acc.base: 0.5951, Acc.box: 0.4038, Acc.column: 0.5666, Acc.signboard: 0.5477, Acc.chest of drawers: 0.6442, Acc.counter: 0.3538, Acc.sand: 0.4544, Acc.sink: 0.8546, Acc.skyscraper: 0.4344, Acc.fireplace: 0.9676, Acc.refrigerator: 0.8353, Acc.grandstand: 0.7409, Acc.path: 0.4641, Acc.stairs: 0.4036, Acc.runway: 0.9235, Acc.case: 0.8034, Acc.pool table: 0.9757, Acc.pillow: 0.7706, Acc.screen door: 0.8875, Acc.stairway: 0.4127, Acc.river: 0.1966, Acc.bridge: 0.8876, Acc.bookcase: 0.6456, Acc.blind: 0.5535, Acc.coffee table: 0.8590, Acc.toilet: 0.9197, Acc.flower: 0.6561, Acc.book: 0.7195, Acc.hill: 0.1467, Acc.bench: 0.7442, Acc.countertop: 0.8299, Acc.stove: 0.8926, Acc.palm: 0.7412, Acc.kitchen island: 0.9001, Acc.computer: 0.7886, Acc.swivel chair: 0.5370, Acc.boat: 0.5371, Acc.bar: 0.6517, Acc.arcade machine: 0.8969, Acc.hovel: 0.4125, Acc.bus: 0.9638, Acc.towel: 0.8127, Acc.light: 0.7157, Acc.truck: 0.5676, Acc.tower: 0.6330, Acc.chandelier: 0.8563, Acc.awning: 0.4523, Acc.streetlight: 0.6325, Acc.booth: 0.7266, Acc.television receiver: 0.8296, Acc.airplane: 0.8234, Acc.dirt track: 0.5496, Acc.apparel: 0.4833, Acc.pole: 0.4858, Acc.land: 0.0907, Acc.bannister: 0.3175, Acc.escalator: 0.2096, Acc.ottoman: 0.7645, Acc.bottle: 0.3605, Acc.buffet: 0.5837, Acc.poster: 0.3260, Acc.stage: 0.2981, Acc.van: 0.6525, Acc.ship: 0.1059, Acc.fountain: 0.2187, Acc.conveyer belt: 0.9362, Acc.canopy: 0.4743, Acc.washer: 0.7344, Acc.plaything: 0.3627, Acc.swimming pool: 0.3740, Acc.stool: 0.7126, Acc.barrel: 0.9336, Acc.basket: 0.4488, Acc.waterfall: 0.9236, Acc.tent: 0.9819, Acc.bag: 0.2034, Acc.minibike: 0.9208, Acc.cradle: 0.9735, Acc.oven: 0.6790, Acc.ball: 0.6873, Acc.food: 0.7758, Acc.step: 0.2125, Acc.tank: 0.6624, Acc.trade name: 0.3652, Acc.microwave: 0.4604, Acc.pot: 0.5684, Acc.animal: 0.5775, Acc.bicycle: 0.7808, Acc.lake: 0.6362, Acc.dishwasher: 0.8623, Acc.screen: 0.9312, Acc.blanket: 0.3524, Acc.sculpture: 0.8693, Acc.hood: 0.9296, Acc.sconce: 0.6768, Acc.vase: 0.6788, Acc.traffic light: 0.6765, Acc.tray: 0.2685, Acc.ashcan: 0.6881, Acc.fan: 0.8489, Acc.pier: 0.4444, Acc.crt screen: 0.0999, Acc.plate: 0.7174, Acc.monitor: 0.1229, Acc.bulletin board: 0.7748, Acc.shower: 0.2399, Acc.radiator: 0.8402, Acc.glass: 0.2334, Acc.clock: 0.6883, Acc.flag: 0.5228 2023-11-12 20:38:38,257 - mmseg - INFO - Iter [158050/160000] lr: 1.219e-06, eta: 0:16:12, time: 0.864, data_time: 0.400, memory: 41146, decode.loss_cls: 0.1305, decode.loss_mask: 0.4039, decode.loss_dice: 0.6041, decode.d0.loss_cls: 1.0528, decode.d0.loss_mask: 0.4358, decode.d0.loss_dice: 0.6569, decode.d1.loss_cls: 0.1812, decode.d1.loss_mask: 0.4171, decode.d1.loss_dice: 0.6331, decode.d2.loss_cls: 0.1579, decode.d2.loss_mask: 0.4114, decode.d2.loss_dice: 0.6226, decode.d3.loss_cls: 0.1489, decode.d3.loss_mask: 0.4075, decode.d3.loss_dice: 0.6110, decode.d4.loss_cls: 0.1421, decode.d4.loss_mask: 0.4051, decode.d4.loss_dice: 0.6110, decode.d5.loss_cls: 0.1361, decode.d5.loss_mask: 0.4063, decode.d5.loss_dice: 0.6128, decode.d6.loss_cls: 0.1347, decode.d6.loss_mask: 0.4052, decode.d6.loss_dice: 0.6081, decode.d7.loss_cls: 0.1326, decode.d7.loss_mask: 0.4047, decode.d7.loss_dice: 0.6090, decode.d8.loss_cls: 0.1361, decode.d8.loss_mask: 0.4045, decode.d8.loss_dice: 0.6075, loss: 12.6303, grad_norm: 46.0197 2023-11-12 20:39:02,118 - mmseg - INFO - Iter [158100/160000] lr: 1.188e-06, eta: 0:15:47, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1224, decode.loss_mask: 0.4037, decode.loss_dice: 0.6058, decode.d0.loss_cls: 1.0549, decode.d0.loss_mask: 0.4348, decode.d0.loss_dice: 0.6508, decode.d1.loss_cls: 0.1725, decode.d1.loss_mask: 0.4149, decode.d1.loss_dice: 0.6300, decode.d2.loss_cls: 0.1463, decode.d2.loss_mask: 0.4076, decode.d2.loss_dice: 0.6202, decode.d3.loss_cls: 0.1377, decode.d3.loss_mask: 0.4060, decode.d3.loss_dice: 0.6070, decode.d4.loss_cls: 0.1268, decode.d4.loss_mask: 0.4042, decode.d4.loss_dice: 0.6068, decode.d5.loss_cls: 0.1271, decode.d5.loss_mask: 0.4036, decode.d5.loss_dice: 0.6083, decode.d6.loss_cls: 0.1245, decode.d6.loss_mask: 0.4048, decode.d6.loss_dice: 0.6077, decode.d7.loss_cls: 0.1239, decode.d7.loss_mask: 0.4035, decode.d7.loss_dice: 0.6071, decode.d8.loss_cls: 0.1199, decode.d8.loss_mask: 0.4029, decode.d8.loss_dice: 0.6035, loss: 12.4890, grad_norm: 42.4856 2023-11-12 20:39:25,953 - mmseg - INFO - Iter [158150/160000] lr: 1.157e-06, eta: 0:15:22, time: 0.477, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1298, decode.loss_mask: 0.4007, decode.loss_dice: 0.6029, decode.d0.loss_cls: 1.0873, decode.d0.loss_mask: 0.4316, decode.d0.loss_dice: 0.6572, decode.d1.loss_cls: 0.1928, decode.d1.loss_mask: 0.4124, decode.d1.loss_dice: 0.6321, decode.d2.loss_cls: 0.1621, decode.d2.loss_mask: 0.4076, decode.d2.loss_dice: 0.6179, decode.d3.loss_cls: 0.1464, decode.d3.loss_mask: 0.4057, decode.d3.loss_dice: 0.6060, decode.d4.loss_cls: 0.1378, decode.d4.loss_mask: 0.4044, decode.d4.loss_dice: 0.6072, decode.d5.loss_cls: 0.1356, decode.d5.loss_mask: 0.4035, decode.d5.loss_dice: 0.6045, decode.d6.loss_cls: 0.1292, decode.d6.loss_mask: 0.4022, decode.d6.loss_dice: 0.6039, decode.d7.loss_cls: 0.1274, decode.d7.loss_mask: 0.4014, decode.d7.loss_dice: 0.6093, decode.d8.loss_cls: 0.1303, decode.d8.loss_mask: 0.4018, decode.d8.loss_dice: 0.6094, loss: 12.6003, grad_norm: 45.1652 2023-11-12 20:39:50,019 - mmseg - INFO - Iter [158200/160000] lr: 1.126e-06, eta: 0:14:57, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1121, decode.loss_mask: 0.3865, decode.loss_dice: 0.5892, decode.d0.loss_cls: 1.0290, decode.d0.loss_mask: 0.4132, decode.d0.loss_dice: 0.6342, decode.d1.loss_cls: 0.1620, decode.d1.loss_mask: 0.3939, decode.d1.loss_dice: 0.6129, decode.d2.loss_cls: 0.1373, decode.d2.loss_mask: 0.3921, decode.d2.loss_dice: 0.6051, decode.d3.loss_cls: 0.1303, decode.d3.loss_mask: 0.3883, decode.d3.loss_dice: 0.5884, decode.d4.loss_cls: 0.1200, decode.d4.loss_mask: 0.3875, decode.d4.loss_dice: 0.5936, decode.d5.loss_cls: 0.1191, decode.d5.loss_mask: 0.3875, decode.d5.loss_dice: 0.5899, decode.d6.loss_cls: 0.1116, decode.d6.loss_mask: 0.3880, decode.d6.loss_dice: 0.5938, decode.d7.loss_cls: 0.1120, decode.d7.loss_mask: 0.3873, decode.d7.loss_dice: 0.5935, decode.d8.loss_cls: 0.1126, decode.d8.loss_mask: 0.3864, decode.d8.loss_dice: 0.5931, loss: 12.0506, grad_norm: 41.4049 2023-11-12 20:40:14,117 - mmseg - INFO - Iter [158250/160000] lr: 1.094e-06, eta: 0:14:32, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1400, decode.loss_mask: 0.3845, decode.loss_dice: 0.6027, decode.d0.loss_cls: 1.0798, decode.d0.loss_mask: 0.4137, decode.d0.loss_dice: 0.6577, decode.d1.loss_cls: 0.2007, decode.d1.loss_mask: 0.3951, decode.d1.loss_dice: 0.6352, decode.d2.loss_cls: 0.1696, decode.d2.loss_mask: 0.3910, decode.d2.loss_dice: 0.6196, decode.d3.loss_cls: 0.1524, decode.d3.loss_mask: 0.3875, decode.d3.loss_dice: 0.6102, decode.d4.loss_cls: 0.1494, decode.d4.loss_mask: 0.3837, decode.d4.loss_dice: 0.6048, decode.d5.loss_cls: 0.1470, decode.d5.loss_mask: 0.3850, decode.d5.loss_dice: 0.6081, decode.d6.loss_cls: 0.1437, decode.d6.loss_mask: 0.3824, decode.d6.loss_dice: 0.6062, decode.d7.loss_cls: 0.1420, decode.d7.loss_mask: 0.3832, decode.d7.loss_dice: 0.6012, decode.d8.loss_cls: 0.1403, decode.d8.loss_mask: 0.3838, decode.d8.loss_dice: 0.6029, loss: 12.5036, grad_norm: 51.4664 2023-11-12 20:40:38,187 - mmseg - INFO - Iter [158300/160000] lr: 1.063e-06, eta: 0:14:07, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1400, decode.loss_mask: 0.3970, decode.loss_dice: 0.6335, decode.d0.loss_cls: 1.0962, decode.d0.loss_mask: 0.4293, decode.d0.loss_dice: 0.6860, decode.d1.loss_cls: 0.1915, decode.d1.loss_mask: 0.4103, decode.d1.loss_dice: 0.6662, decode.d2.loss_cls: 0.1579, decode.d2.loss_mask: 0.4047, decode.d2.loss_dice: 0.6486, decode.d3.loss_cls: 0.1563, decode.d3.loss_mask: 0.3989, decode.d3.loss_dice: 0.6397, decode.d4.loss_cls: 0.1490, decode.d4.loss_mask: 0.3967, decode.d4.loss_dice: 0.6379, decode.d5.loss_cls: 0.1463, decode.d5.loss_mask: 0.3979, decode.d5.loss_dice: 0.6364, decode.d6.loss_cls: 0.1403, decode.d6.loss_mask: 0.3962, decode.d6.loss_dice: 0.6358, decode.d7.loss_cls: 0.1370, decode.d7.loss_mask: 0.3975, decode.d7.loss_dice: 0.6369, decode.d8.loss_cls: 0.1386, decode.d8.loss_mask: 0.3970, decode.d8.loss_dice: 0.6357, loss: 12.9352, grad_norm: 44.8605 2023-11-12 20:41:02,006 - mmseg - INFO - Iter [158350/160000] lr: 1.032e-06, eta: 0:13:42, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1276, decode.loss_mask: 0.3998, decode.loss_dice: 0.5994, decode.d0.loss_cls: 1.0815, decode.d0.loss_mask: 0.4324, decode.d0.loss_dice: 0.6511, decode.d1.loss_cls: 0.1853, decode.d1.loss_mask: 0.4100, decode.d1.loss_dice: 0.6272, decode.d2.loss_cls: 0.1532, decode.d2.loss_mask: 0.4044, decode.d2.loss_dice: 0.6154, decode.d3.loss_cls: 0.1416, decode.d3.loss_mask: 0.4027, decode.d3.loss_dice: 0.6065, decode.d4.loss_cls: 0.1353, decode.d4.loss_mask: 0.4016, decode.d4.loss_dice: 0.6055, decode.d5.loss_cls: 0.1308, decode.d5.loss_mask: 0.4003, decode.d5.loss_dice: 0.6054, decode.d6.loss_cls: 0.1335, decode.d6.loss_mask: 0.4005, decode.d6.loss_dice: 0.6028, decode.d7.loss_cls: 0.1291, decode.d7.loss_mask: 0.3995, decode.d7.loss_dice: 0.6041, decode.d8.loss_cls: 0.1263, decode.d8.loss_mask: 0.3995, decode.d8.loss_dice: 0.6034, loss: 12.5156, grad_norm: 43.0595 2023-11-12 20:41:25,993 - mmseg - INFO - Iter [158400/160000] lr: 1.001e-06, eta: 0:13:17, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1319, decode.loss_mask: 0.4020, decode.loss_dice: 0.6002, decode.d0.loss_cls: 1.1156, decode.d0.loss_mask: 0.4317, decode.d0.loss_dice: 0.6458, decode.d1.loss_cls: 0.1915, decode.d1.loss_mask: 0.4129, decode.d1.loss_dice: 0.6239, decode.d2.loss_cls: 0.1632, decode.d2.loss_mask: 0.4066, decode.d2.loss_dice: 0.6092, decode.d3.loss_cls: 0.1532, decode.d3.loss_mask: 0.4062, decode.d3.loss_dice: 0.6029, decode.d4.loss_cls: 0.1452, decode.d4.loss_mask: 0.4063, decode.d4.loss_dice: 0.6040, decode.d5.loss_cls: 0.1403, decode.d5.loss_mask: 0.4050, decode.d5.loss_dice: 0.5997, decode.d6.loss_cls: 0.1373, decode.d6.loss_mask: 0.4038, decode.d6.loss_dice: 0.6004, decode.d7.loss_cls: 0.1332, decode.d7.loss_mask: 0.4034, decode.d7.loss_dice: 0.6008, decode.d8.loss_cls: 0.1341, decode.d8.loss_mask: 0.4021, decode.d8.loss_dice: 0.6005, loss: 12.6127, grad_norm: 45.6013 2023-11-12 20:41:49,775 - mmseg - INFO - Iter [158450/160000] lr: 9.694e-07, eta: 0:12:52, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1333, decode.loss_mask: 0.4010, decode.loss_dice: 0.6231, decode.d0.loss_cls: 1.0745, decode.d0.loss_mask: 0.4317, decode.d0.loss_dice: 0.6826, decode.d1.loss_cls: 0.1957, decode.d1.loss_mask: 0.4140, decode.d1.loss_dice: 0.6535, decode.d2.loss_cls: 0.1600, decode.d2.loss_mask: 0.4055, decode.d2.loss_dice: 0.6389, decode.d3.loss_cls: 0.1434, decode.d3.loss_mask: 0.4034, decode.d3.loss_dice: 0.6305, decode.d4.loss_cls: 0.1399, decode.d4.loss_mask: 0.4024, decode.d4.loss_dice: 0.6271, decode.d5.loss_cls: 0.1351, decode.d5.loss_mask: 0.4019, decode.d5.loss_dice: 0.6255, decode.d6.loss_cls: 0.1361, decode.d6.loss_mask: 0.4007, decode.d6.loss_dice: 0.6209, decode.d7.loss_cls: 0.1313, decode.d7.loss_mask: 0.4004, decode.d7.loss_dice: 0.6198, decode.d8.loss_cls: 0.1300, decode.d8.loss_mask: 0.4015, decode.d8.loss_dice: 0.6250, loss: 12.7888, grad_norm: 45.7353 2023-11-12 20:42:13,681 - mmseg - INFO - Iter [158500/160000] lr: 9.381e-07, eta: 0:12:27, time: 0.478, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1197, decode.loss_mask: 0.3859, decode.loss_dice: 0.6136, decode.d0.loss_cls: 1.0895, decode.d0.loss_mask: 0.4126, decode.d0.loss_dice: 0.6647, decode.d1.loss_cls: 0.1821, decode.d1.loss_mask: 0.3968, decode.d1.loss_dice: 0.6429, decode.d2.loss_cls: 0.1478, decode.d2.loss_mask: 0.3907, decode.d2.loss_dice: 0.6262, decode.d3.loss_cls: 0.1359, decode.d3.loss_mask: 0.3894, decode.d3.loss_dice: 0.6197, decode.d4.loss_cls: 0.1314, decode.d4.loss_mask: 0.3869, decode.d4.loss_dice: 0.6202, decode.d5.loss_cls: 0.1274, decode.d5.loss_mask: 0.3874, decode.d5.loss_dice: 0.6151, decode.d6.loss_cls: 0.1247, decode.d6.loss_mask: 0.3862, decode.d6.loss_dice: 0.6114, decode.d7.loss_cls: 0.1213, decode.d7.loss_mask: 0.3860, decode.d7.loss_dice: 0.6129, decode.d8.loss_cls: 0.1197, decode.d8.loss_mask: 0.3855, decode.d8.loss_dice: 0.6100, loss: 12.4433, grad_norm: 43.0640 2023-11-12 20:42:37,468 - mmseg - INFO - Iter [158550/160000] lr: 9.069e-07, eta: 0:12:02, time: 0.476, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1375, decode.loss_mask: 0.4087, decode.loss_dice: 0.6148, decode.d0.loss_cls: 1.0679, decode.d0.loss_mask: 0.4389, decode.d0.loss_dice: 0.6659, decode.d1.loss_cls: 0.1925, decode.d1.loss_mask: 0.4194, decode.d1.loss_dice: 0.6439, decode.d2.loss_cls: 0.1596, decode.d2.loss_mask: 0.4135, decode.d2.loss_dice: 0.6299, decode.d3.loss_cls: 0.1534, decode.d3.loss_mask: 0.4112, decode.d3.loss_dice: 0.6214, decode.d4.loss_cls: 0.1475, decode.d4.loss_mask: 0.4103, decode.d4.loss_dice: 0.6217, decode.d5.loss_cls: 0.1412, decode.d5.loss_mask: 0.4099, decode.d5.loss_dice: 0.6195, decode.d6.loss_cls: 0.1388, decode.d6.loss_mask: 0.4105, decode.d6.loss_dice: 0.6196, decode.d7.loss_cls: 0.1383, decode.d7.loss_mask: 0.4093, decode.d7.loss_dice: 0.6170, decode.d8.loss_cls: 0.1370, decode.d8.loss_mask: 0.4084, decode.d8.loss_dice: 0.6188, loss: 12.8262, grad_norm: 46.0669 2023-11-12 20:43:01,354 - mmseg - INFO - Iter [158600/160000] lr: 8.756e-07, eta: 0:11:37, time: 0.478, data_time: 0.014, memory: 41146, decode.loss_cls: 0.1279, decode.loss_mask: 0.3809, decode.loss_dice: 0.5959, decode.d0.loss_cls: 1.0917, decode.d0.loss_mask: 0.4121, decode.d0.loss_dice: 0.6478, decode.d1.loss_cls: 0.1882, decode.d1.loss_mask: 0.3898, decode.d1.loss_dice: 0.6231, decode.d2.loss_cls: 0.1566, decode.d2.loss_mask: 0.3879, decode.d2.loss_dice: 0.6149, decode.d3.loss_cls: 0.1376, decode.d3.loss_mask: 0.3839, decode.d3.loss_dice: 0.6002, decode.d4.loss_cls: 0.1351, decode.d4.loss_mask: 0.3832, decode.d4.loss_dice: 0.6011, decode.d5.loss_cls: 0.1337, decode.d5.loss_mask: 0.3813, decode.d5.loss_dice: 0.5963, decode.d6.loss_cls: 0.1321, decode.d6.loss_mask: 0.3819, decode.d6.loss_dice: 0.5982, decode.d7.loss_cls: 0.1288, decode.d7.loss_mask: 0.3815, decode.d7.loss_dice: 0.5981, decode.d8.loss_cls: 0.1282, decode.d8.loss_mask: 0.3814, decode.d8.loss_dice: 0.5965, loss: 12.2959, grad_norm: 42.4342 2023-11-12 20:43:25,196 - mmseg - INFO - Iter [158650/160000] lr: 8.444e-07, eta: 0:11:12, time: 0.477, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1207, decode.loss_mask: 0.3935, decode.loss_dice: 0.6128, decode.d0.loss_cls: 1.0651, decode.d0.loss_mask: 0.4191, decode.d0.loss_dice: 0.6572, decode.d1.loss_cls: 0.1828, decode.d1.loss_mask: 0.4061, decode.d1.loss_dice: 0.6394, decode.d2.loss_cls: 0.1509, decode.d2.loss_mask: 0.3997, decode.d2.loss_dice: 0.6231, decode.d3.loss_cls: 0.1416, decode.d3.loss_mask: 0.3949, decode.d3.loss_dice: 0.6140, decode.d4.loss_cls: 0.1299, decode.d4.loss_mask: 0.3969, decode.d4.loss_dice: 0.6183, decode.d5.loss_cls: 0.1256, decode.d5.loss_mask: 0.3961, decode.d5.loss_dice: 0.6158, decode.d6.loss_cls: 0.1285, decode.d6.loss_mask: 0.3943, decode.d6.loss_dice: 0.6114, decode.d7.loss_cls: 0.1182, decode.d7.loss_mask: 0.3950, decode.d7.loss_dice: 0.6166, decode.d8.loss_cls: 0.1228, decode.d8.loss_mask: 0.3945, decode.d8.loss_dice: 0.6116, loss: 12.4964, grad_norm: 50.3419 2023-11-12 20:43:49,002 - mmseg - INFO - Iter [158700/160000] lr: 8.131e-07, eta: 0:10:48, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1173, decode.loss_mask: 0.3915, decode.loss_dice: 0.5824, decode.d0.loss_cls: 1.0641, decode.d0.loss_mask: 0.4219, decode.d0.loss_dice: 0.6305, decode.d1.loss_cls: 0.1719, decode.d1.loss_mask: 0.4009, decode.d1.loss_dice: 0.6061, decode.d2.loss_cls: 0.1429, decode.d2.loss_mask: 0.3959, decode.d2.loss_dice: 0.5956, decode.d3.loss_cls: 0.1349, decode.d3.loss_mask: 0.3936, decode.d3.loss_dice: 0.5864, decode.d4.loss_cls: 0.1273, decode.d4.loss_mask: 0.3923, decode.d4.loss_dice: 0.5818, decode.d5.loss_cls: 0.1220, decode.d5.loss_mask: 0.3918, decode.d5.loss_dice: 0.5835, decode.d6.loss_cls: 0.1185, decode.d6.loss_mask: 0.3912, decode.d6.loss_dice: 0.5792, decode.d7.loss_cls: 0.1177, decode.d7.loss_mask: 0.3917, decode.d7.loss_dice: 0.5813, decode.d8.loss_cls: 0.1164, decode.d8.loss_mask: 0.3911, decode.d8.loss_dice: 0.5803, loss: 12.1020, grad_norm: 46.3737 2023-11-12 20:44:12,739 - mmseg - INFO - Iter [158750/160000] lr: 7.819e-07, eta: 0:10:23, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1217, decode.loss_mask: 0.4022, decode.loss_dice: 0.6044, decode.d0.loss_cls: 1.0808, decode.d0.loss_mask: 0.4300, decode.d0.loss_dice: 0.6536, decode.d1.loss_cls: 0.1757, decode.d1.loss_mask: 0.4099, decode.d1.loss_dice: 0.6306, decode.d2.loss_cls: 0.1477, decode.d2.loss_mask: 0.4071, decode.d2.loss_dice: 0.6184, decode.d3.loss_cls: 0.1388, decode.d3.loss_mask: 0.4041, decode.d3.loss_dice: 0.6127, decode.d4.loss_cls: 0.1312, decode.d4.loss_mask: 0.4023, decode.d4.loss_dice: 0.6104, decode.d5.loss_cls: 0.1256, decode.d5.loss_mask: 0.4022, decode.d5.loss_dice: 0.6070, decode.d6.loss_cls: 0.1270, decode.d6.loss_mask: 0.4021, decode.d6.loss_dice: 0.6070, decode.d7.loss_cls: 0.1207, decode.d7.loss_mask: 0.4016, decode.d7.loss_dice: 0.6074, decode.d8.loss_cls: 0.1234, decode.d8.loss_mask: 0.4018, decode.d8.loss_dice: 0.6093, loss: 12.5167, grad_norm: 43.7148 2023-11-12 20:44:36,521 - mmseg - INFO - Iter [158800/160000] lr: 7.506e-07, eta: 0:09:58, time: 0.476, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1264, decode.loss_mask: 0.3782, decode.loss_dice: 0.5993, decode.d0.loss_cls: 1.0858, decode.d0.loss_mask: 0.4058, decode.d0.loss_dice: 0.6500, decode.d1.loss_cls: 0.1819, decode.d1.loss_mask: 0.3878, decode.d1.loss_dice: 0.6250, decode.d2.loss_cls: 0.1521, decode.d2.loss_mask: 0.3820, decode.d2.loss_dice: 0.6075, decode.d3.loss_cls: 0.1460, decode.d3.loss_mask: 0.3802, decode.d3.loss_dice: 0.6028, decode.d4.loss_cls: 0.1358, decode.d4.loss_mask: 0.3792, decode.d4.loss_dice: 0.6015, decode.d5.loss_cls: 0.1319, decode.d5.loss_mask: 0.3783, decode.d5.loss_dice: 0.5998, decode.d6.loss_cls: 0.1305, decode.d6.loss_mask: 0.3783, decode.d6.loss_dice: 0.5996, decode.d7.loss_cls: 0.1244, decode.d7.loss_mask: 0.3779, decode.d7.loss_dice: 0.6006, decode.d8.loss_cls: 0.1268, decode.d8.loss_mask: 0.3785, decode.d8.loss_dice: 0.5976, loss: 12.2515, grad_norm: 40.8433 2023-11-12 20:45:00,560 - mmseg - INFO - Iter [158850/160000] lr: 7.194e-07, eta: 0:09:33, time: 0.481, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1193, decode.loss_mask: 0.3868, decode.loss_dice: 0.6013, decode.d0.loss_cls: 1.0825, decode.d0.loss_mask: 0.4151, decode.d0.loss_dice: 0.6459, decode.d1.loss_cls: 0.1742, decode.d1.loss_mask: 0.3945, decode.d1.loss_dice: 0.6186, decode.d2.loss_cls: 0.1480, decode.d2.loss_mask: 0.3904, decode.d2.loss_dice: 0.6134, decode.d3.loss_cls: 0.1343, decode.d3.loss_mask: 0.3880, decode.d3.loss_dice: 0.6043, decode.d4.loss_cls: 0.1285, decode.d4.loss_mask: 0.3872, decode.d4.loss_dice: 0.6064, decode.d5.loss_cls: 0.1257, decode.d5.loss_mask: 0.3879, decode.d5.loss_dice: 0.6047, decode.d6.loss_cls: 0.1276, decode.d6.loss_mask: 0.3870, decode.d6.loss_dice: 0.6014, decode.d7.loss_cls: 0.1204, decode.d7.loss_mask: 0.3875, decode.d7.loss_dice: 0.6007, decode.d8.loss_cls: 0.1242, decode.d8.loss_mask: 0.3870, decode.d8.loss_dice: 0.6025, loss: 12.2953, grad_norm: 43.3971 2023-11-12 20:45:24,462 - mmseg - INFO - Iter [158900/160000] lr: 6.881e-07, eta: 0:09:08, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1265, decode.loss_mask: 0.3906, decode.loss_dice: 0.6045, decode.d0.loss_cls: 1.0484, decode.d0.loss_mask: 0.4195, decode.d0.loss_dice: 0.6514, decode.d1.loss_cls: 0.1672, decode.d1.loss_mask: 0.4009, decode.d1.loss_dice: 0.6294, decode.d2.loss_cls: 0.1477, decode.d2.loss_mask: 0.3944, decode.d2.loss_dice: 0.6176, decode.d3.loss_cls: 0.1365, decode.d3.loss_mask: 0.3922, decode.d3.loss_dice: 0.6087, decode.d4.loss_cls: 0.1310, decode.d4.loss_mask: 0.3916, decode.d4.loss_dice: 0.6111, decode.d5.loss_cls: 0.1340, decode.d5.loss_mask: 0.3919, decode.d5.loss_dice: 0.6080, decode.d6.loss_cls: 0.1297, decode.d6.loss_mask: 0.3909, decode.d6.loss_dice: 0.6065, decode.d7.loss_cls: 0.1285, decode.d7.loss_mask: 0.3908, decode.d7.loss_dice: 0.6046, decode.d8.loss_cls: 0.1267, decode.d8.loss_mask: 0.3907, decode.d8.loss_dice: 0.6081, loss: 12.3800, grad_norm: 44.6816 2023-11-12 20:45:48,228 - mmseg - INFO - Iter [158950/160000] lr: 6.569e-07, eta: 0:08:43, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1277, decode.loss_mask: 0.3978, decode.loss_dice: 0.5971, decode.d0.loss_cls: 1.0759, decode.d0.loss_mask: 0.4283, decode.d0.loss_dice: 0.6454, decode.d1.loss_cls: 0.1824, decode.d1.loss_mask: 0.4111, decode.d1.loss_dice: 0.6241, decode.d2.loss_cls: 0.1549, decode.d2.loss_mask: 0.4031, decode.d2.loss_dice: 0.6100, decode.d3.loss_cls: 0.1433, decode.d3.loss_mask: 0.4008, decode.d3.loss_dice: 0.6047, decode.d4.loss_cls: 0.1376, decode.d4.loss_mask: 0.3984, decode.d4.loss_dice: 0.5999, decode.d5.loss_cls: 0.1382, decode.d5.loss_mask: 0.3992, decode.d5.loss_dice: 0.6034, decode.d6.loss_cls: 0.1340, decode.d6.loss_mask: 0.3980, decode.d6.loss_dice: 0.5987, decode.d7.loss_cls: 0.1361, decode.d7.loss_mask: 0.3975, decode.d7.loss_dice: 0.5982, decode.d8.loss_cls: 0.1304, decode.d8.loss_mask: 0.3973, decode.d8.loss_dice: 0.5990, loss: 12.4726, grad_norm: 47.3066 2023-11-12 20:46:12,196 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 20:46:12,196 - mmseg - INFO - Iter [159000/160000] lr: 6.256e-07, eta: 0:08:18, time: 0.479, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1123, decode.loss_mask: 0.3841, decode.loss_dice: 0.5884, decode.d0.loss_cls: 1.0672, decode.d0.loss_mask: 0.4108, decode.d0.loss_dice: 0.6404, decode.d1.loss_cls: 0.1646, decode.d1.loss_mask: 0.3942, decode.d1.loss_dice: 0.6165, decode.d2.loss_cls: 0.1373, decode.d2.loss_mask: 0.3900, decode.d2.loss_dice: 0.6051, decode.d3.loss_cls: 0.1242, decode.d3.loss_mask: 0.3862, decode.d3.loss_dice: 0.5955, decode.d4.loss_cls: 0.1211, decode.d4.loss_mask: 0.3863, decode.d4.loss_dice: 0.5929, decode.d5.loss_cls: 0.1168, decode.d5.loss_mask: 0.3855, decode.d5.loss_dice: 0.5948, decode.d6.loss_cls: 0.1142, decode.d6.loss_mask: 0.3843, decode.d6.loss_dice: 0.5924, decode.d7.loss_cls: 0.1140, decode.d7.loss_mask: 0.3847, decode.d7.loss_dice: 0.5933, decode.d8.loss_cls: 0.1123, decode.d8.loss_mask: 0.3837, decode.d8.loss_dice: 0.5938, loss: 12.0867, grad_norm: 45.5097 2023-11-12 20:46:36,278 - mmseg - INFO - Iter [159050/160000] lr: 5.944e-07, eta: 0:07:53, time: 0.482, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1242, decode.loss_mask: 0.3952, decode.loss_dice: 0.6109, decode.d0.loss_cls: 1.0807, decode.d0.loss_mask: 0.4198, decode.d0.loss_dice: 0.6575, decode.d1.loss_cls: 0.1734, decode.d1.loss_mask: 0.4027, decode.d1.loss_dice: 0.6357, decode.d2.loss_cls: 0.1432, decode.d2.loss_mask: 0.3983, decode.d2.loss_dice: 0.6217, decode.d3.loss_cls: 0.1341, decode.d3.loss_mask: 0.3972, decode.d3.loss_dice: 0.6121, decode.d4.loss_cls: 0.1273, decode.d4.loss_mask: 0.3961, decode.d4.loss_dice: 0.6125, decode.d5.loss_cls: 0.1269, decode.d5.loss_mask: 0.3962, decode.d5.loss_dice: 0.6132, decode.d6.loss_cls: 0.1262, decode.d6.loss_mask: 0.3948, decode.d6.loss_dice: 0.6103, decode.d7.loss_cls: 0.1240, decode.d7.loss_mask: 0.3936, decode.d7.loss_dice: 0.6139, decode.d8.loss_cls: 0.1199, decode.d8.loss_mask: 0.3948, decode.d8.loss_dice: 0.6117, loss: 12.4680, grad_norm: 48.2670 2023-11-12 20:47:00,117 - mmseg - INFO - Iter [159100/160000] lr: 5.631e-07, eta: 0:07:28, time: 0.477, data_time: 0.011, memory: 41146, decode.loss_cls: 0.1263, decode.loss_mask: 0.3993, decode.loss_dice: 0.6050, decode.d0.loss_cls: 1.0923, decode.d0.loss_mask: 0.4277, decode.d0.loss_dice: 0.6460, decode.d1.loss_cls: 0.1969, decode.d1.loss_mask: 0.4092, decode.d1.loss_dice: 0.6221, decode.d2.loss_cls: 0.1609, decode.d2.loss_mask: 0.4066, decode.d2.loss_dice: 0.6146, decode.d3.loss_cls: 0.1446, decode.d3.loss_mask: 0.4020, decode.d3.loss_dice: 0.6076, decode.d4.loss_cls: 0.1390, decode.d4.loss_mask: 0.4008, decode.d4.loss_dice: 0.6040, decode.d5.loss_cls: 0.1346, decode.d5.loss_mask: 0.4007, decode.d5.loss_dice: 0.6048, decode.d6.loss_cls: 0.1329, decode.d6.loss_mask: 0.3990, decode.d6.loss_dice: 0.5943, decode.d7.loss_cls: 0.1287, decode.d7.loss_mask: 0.3982, decode.d7.loss_dice: 0.5994, decode.d8.loss_cls: 0.1269, decode.d8.loss_mask: 0.3989, decode.d8.loss_dice: 0.6039, loss: 12.5272, grad_norm: 45.8648 2023-11-12 20:47:26,284 - mmseg - INFO - Iter [159150/160000] lr: 5.319e-07, eta: 0:07:03, time: 0.523, data_time: 0.060, memory: 41146, decode.loss_cls: 0.1268, decode.loss_mask: 0.3792, decode.loss_dice: 0.5960, decode.d0.loss_cls: 1.1006, decode.d0.loss_mask: 0.4067, decode.d0.loss_dice: 0.6373, decode.d1.loss_cls: 0.1878, decode.d1.loss_mask: 0.3888, decode.d1.loss_dice: 0.6134, decode.d2.loss_cls: 0.1607, decode.d2.loss_mask: 0.3844, decode.d2.loss_dice: 0.6043, decode.d3.loss_cls: 0.1455, decode.d3.loss_mask: 0.3818, decode.d3.loss_dice: 0.5948, decode.d4.loss_cls: 0.1405, decode.d4.loss_mask: 0.3808, decode.d4.loss_dice: 0.5946, decode.d5.loss_cls: 0.1336, decode.d5.loss_mask: 0.3813, decode.d5.loss_dice: 0.6002, decode.d6.loss_cls: 0.1313, decode.d6.loss_mask: 0.3805, decode.d6.loss_dice: 0.5954, decode.d7.loss_cls: 0.1280, decode.d7.loss_mask: 0.3798, decode.d7.loss_dice: 0.5950, decode.d8.loss_cls: 0.1251, decode.d8.loss_mask: 0.3804, decode.d8.loss_dice: 0.5982, loss: 12.2526, grad_norm: 38.7612 2023-11-12 20:47:50,263 - mmseg - INFO - Iter [159200/160000] lr: 5.006e-07, eta: 0:06:38, time: 0.480, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1240, decode.loss_mask: 0.3937, decode.loss_dice: 0.5944, decode.d0.loss_cls: 1.0778, decode.d0.loss_mask: 0.4206, decode.d0.loss_dice: 0.6373, decode.d1.loss_cls: 0.1776, decode.d1.loss_mask: 0.4017, decode.d1.loss_dice: 0.6172, decode.d2.loss_cls: 0.1493, decode.d2.loss_mask: 0.3972, decode.d2.loss_dice: 0.6087, decode.d3.loss_cls: 0.1374, decode.d3.loss_mask: 0.3941, decode.d3.loss_dice: 0.6007, decode.d4.loss_cls: 0.1324, decode.d4.loss_mask: 0.3930, decode.d4.loss_dice: 0.5988, decode.d5.loss_cls: 0.1317, decode.d5.loss_mask: 0.3946, decode.d5.loss_dice: 0.5993, decode.d6.loss_cls: 0.1278, decode.d6.loss_mask: 0.3935, decode.d6.loss_dice: 0.5950, decode.d7.loss_cls: 0.1272, decode.d7.loss_mask: 0.3928, decode.d7.loss_dice: 0.5949, decode.d8.loss_cls: 0.1233, decode.d8.loss_mask: 0.3936, decode.d8.loss_dice: 0.5977, loss: 12.3270, grad_norm: 44.0688 2023-11-12 20:48:13,914 - mmseg - INFO - Iter [159250/160000] lr: 4.694e-07, eta: 0:06:13, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1280, decode.loss_mask: 0.3760, decode.loss_dice: 0.5982, decode.d0.loss_cls: 1.0814, decode.d0.loss_mask: 0.4050, decode.d0.loss_dice: 0.6520, decode.d1.loss_cls: 0.1848, decode.d1.loss_mask: 0.3864, decode.d1.loss_dice: 0.6268, decode.d2.loss_cls: 0.1575, decode.d2.loss_mask: 0.3812, decode.d2.loss_dice: 0.6141, decode.d3.loss_cls: 0.1395, decode.d3.loss_mask: 0.3784, decode.d3.loss_dice: 0.6009, decode.d4.loss_cls: 0.1353, decode.d4.loss_mask: 0.3790, decode.d4.loss_dice: 0.6029, decode.d5.loss_cls: 0.1338, decode.d5.loss_mask: 0.3780, decode.d5.loss_dice: 0.6048, decode.d6.loss_cls: 0.1298, decode.d6.loss_mask: 0.3780, decode.d6.loss_dice: 0.6034, decode.d7.loss_cls: 0.1304, decode.d7.loss_mask: 0.3767, decode.d7.loss_dice: 0.6062, decode.d8.loss_cls: 0.1290, decode.d8.loss_mask: 0.3765, decode.d8.loss_dice: 0.6010, loss: 12.2749, grad_norm: 42.4998 2023-11-12 20:48:37,879 - mmseg - INFO - Iter [159300/160000] lr: 4.381e-07, eta: 0:05:48, time: 0.479, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1228, decode.loss_mask: 0.3781, decode.loss_dice: 0.6022, decode.d0.loss_cls: 1.0826, decode.d0.loss_mask: 0.4062, decode.d0.loss_dice: 0.6480, decode.d1.loss_cls: 0.1835, decode.d1.loss_mask: 0.3865, decode.d1.loss_dice: 0.6288, decode.d2.loss_cls: 0.1554, decode.d2.loss_mask: 0.3831, decode.d2.loss_dice: 0.6157, decode.d3.loss_cls: 0.1401, decode.d3.loss_mask: 0.3814, decode.d3.loss_dice: 0.6088, decode.d4.loss_cls: 0.1355, decode.d4.loss_mask: 0.3816, decode.d4.loss_dice: 0.6057, decode.d5.loss_cls: 0.1346, decode.d5.loss_mask: 0.3798, decode.d5.loss_dice: 0.6064, decode.d6.loss_cls: 0.1283, decode.d6.loss_mask: 0.3788, decode.d6.loss_dice: 0.5990, decode.d7.loss_cls: 0.1264, decode.d7.loss_mask: 0.3787, decode.d7.loss_dice: 0.6024, decode.d8.loss_cls: 0.1249, decode.d8.loss_mask: 0.3784, decode.d8.loss_dice: 0.6000, loss: 12.2839, grad_norm: 44.0026 2023-11-12 20:49:01,580 - mmseg - INFO - Iter [159350/160000] lr: 4.069e-07, eta: 0:05:23, time: 0.474, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1309, decode.loss_mask: 0.4005, decode.loss_dice: 0.6053, decode.d0.loss_cls: 1.0959, decode.d0.loss_mask: 0.4267, decode.d0.loss_dice: 0.6595, decode.d1.loss_cls: 0.1887, decode.d1.loss_mask: 0.4096, decode.d1.loss_dice: 0.6295, decode.d2.loss_cls: 0.1609, decode.d2.loss_mask: 0.4066, decode.d2.loss_dice: 0.6182, decode.d3.loss_cls: 0.1524, decode.d3.loss_mask: 0.4014, decode.d3.loss_dice: 0.6079, decode.d4.loss_cls: 0.1449, decode.d4.loss_mask: 0.4011, decode.d4.loss_dice: 0.6091, decode.d5.loss_cls: 0.1362, decode.d5.loss_mask: 0.3988, decode.d5.loss_dice: 0.6037, decode.d6.loss_cls: 0.1381, decode.d6.loss_mask: 0.4003, decode.d6.loss_dice: 0.6045, decode.d7.loss_cls: 0.1323, decode.d7.loss_mask: 0.4009, decode.d7.loss_dice: 0.6084, decode.d8.loss_cls: 0.1342, decode.d8.loss_mask: 0.4005, decode.d8.loss_dice: 0.6057, loss: 12.6128, grad_norm: 47.6893 2023-11-12 20:49:25,257 - mmseg - INFO - Iter [159400/160000] lr: 3.756e-07, eta: 0:04:59, time: 0.474, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1236, decode.loss_mask: 0.3822, decode.loss_dice: 0.6066, decode.d0.loss_cls: 1.0655, decode.d0.loss_mask: 0.4097, decode.d0.loss_dice: 0.6601, decode.d1.loss_cls: 0.1875, decode.d1.loss_mask: 0.3911, decode.d1.loss_dice: 0.6303, decode.d2.loss_cls: 0.1593, decode.d2.loss_mask: 0.3855, decode.d2.loss_dice: 0.6140, decode.d3.loss_cls: 0.1418, decode.d3.loss_mask: 0.3850, decode.d3.loss_dice: 0.6069, decode.d4.loss_cls: 0.1375, decode.d4.loss_mask: 0.3834, decode.d4.loss_dice: 0.6084, decode.d5.loss_cls: 0.1296, decode.d5.loss_mask: 0.3828, decode.d5.loss_dice: 0.6050, decode.d6.loss_cls: 0.1316, decode.d6.loss_mask: 0.3820, decode.d6.loss_dice: 0.6093, decode.d7.loss_cls: 0.1283, decode.d7.loss_mask: 0.3808, decode.d7.loss_dice: 0.6093, decode.d8.loss_cls: 0.1214, decode.d8.loss_mask: 0.3821, decode.d8.loss_dice: 0.6070, loss: 12.3479, grad_norm: 43.2280 2023-11-12 20:49:49,325 - mmseg - INFO - Iter [159450/160000] lr: 3.444e-07, eta: 0:04:34, time: 0.481, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1266, decode.loss_mask: 0.3870, decode.loss_dice: 0.6119, decode.d0.loss_cls: 1.0651, decode.d0.loss_mask: 0.4141, decode.d0.loss_dice: 0.6561, decode.d1.loss_cls: 0.1802, decode.d1.loss_mask: 0.3983, decode.d1.loss_dice: 0.6303, decode.d2.loss_cls: 0.1588, decode.d2.loss_mask: 0.3915, decode.d2.loss_dice: 0.6184, decode.d3.loss_cls: 0.1426, decode.d3.loss_mask: 0.3893, decode.d3.loss_dice: 0.6137, decode.d4.loss_cls: 0.1356, decode.d4.loss_mask: 0.3883, decode.d4.loss_dice: 0.6138, decode.d5.loss_cls: 0.1332, decode.d5.loss_mask: 0.3879, decode.d5.loss_dice: 0.6158, decode.d6.loss_cls: 0.1319, decode.d6.loss_mask: 0.3865, decode.d6.loss_dice: 0.6091, decode.d7.loss_cls: 0.1268, decode.d7.loss_mask: 0.3874, decode.d7.loss_dice: 0.6125, decode.d8.loss_cls: 0.1302, decode.d8.loss_mask: 0.3863, decode.d8.loss_dice: 0.6111, loss: 12.4401, grad_norm: 45.1883 2023-11-12 20:50:12,978 - mmseg - INFO - Iter [159500/160000] lr: 3.131e-07, eta: 0:04:09, time: 0.473, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1284, decode.loss_mask: 0.4058, decode.loss_dice: 0.6145, decode.d0.loss_cls: 1.0879, decode.d0.loss_mask: 0.4326, decode.d0.loss_dice: 0.6623, decode.d1.loss_cls: 0.1805, decode.d1.loss_mask: 0.4164, decode.d1.loss_dice: 0.6373, decode.d2.loss_cls: 0.1542, decode.d2.loss_mask: 0.4127, decode.d2.loss_dice: 0.6292, decode.d3.loss_cls: 0.1432, decode.d3.loss_mask: 0.4088, decode.d3.loss_dice: 0.6195, decode.d4.loss_cls: 0.1382, decode.d4.loss_mask: 0.4085, decode.d4.loss_dice: 0.6159, decode.d5.loss_cls: 0.1341, decode.d5.loss_mask: 0.4069, decode.d5.loss_dice: 0.6175, decode.d6.loss_cls: 0.1335, decode.d6.loss_mask: 0.4059, decode.d6.loss_dice: 0.6146, decode.d7.loss_cls: 0.1300, decode.d7.loss_mask: 0.4054, decode.d7.loss_dice: 0.6123, decode.d8.loss_cls: 0.1305, decode.d8.loss_mask: 0.4047, decode.d8.loss_dice: 0.6155, loss: 12.7070, grad_norm: 43.9205 2023-11-12 20:50:36,902 - mmseg - INFO - Iter [159550/160000] lr: 2.819e-07, eta: 0:03:44, time: 0.478, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1345, decode.loss_mask: 0.3880, decode.loss_dice: 0.6142, decode.d0.loss_cls: 1.0551, decode.d0.loss_mask: 0.4151, decode.d0.loss_dice: 0.6689, decode.d1.loss_cls: 0.1933, decode.d1.loss_mask: 0.3997, decode.d1.loss_dice: 0.6420, decode.d2.loss_cls: 0.1620, decode.d2.loss_mask: 0.3933, decode.d2.loss_dice: 0.6324, decode.d3.loss_cls: 0.1551, decode.d3.loss_mask: 0.3917, decode.d3.loss_dice: 0.6204, decode.d4.loss_cls: 0.1484, decode.d4.loss_mask: 0.3914, decode.d4.loss_dice: 0.6243, decode.d5.loss_cls: 0.1447, decode.d5.loss_mask: 0.3900, decode.d5.loss_dice: 0.6213, decode.d6.loss_cls: 0.1398, decode.d6.loss_mask: 0.3894, decode.d6.loss_dice: 0.6181, decode.d7.loss_cls: 0.1370, decode.d7.loss_mask: 0.3884, decode.d7.loss_dice: 0.6165, decode.d8.loss_cls: 0.1365, decode.d8.loss_mask: 0.3884, decode.d8.loss_dice: 0.6125, loss: 12.6124, grad_norm: 42.5946 2023-11-12 20:51:00,554 - mmseg - INFO - Iter [159600/160000] lr: 2.506e-07, eta: 0:03:19, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1132, decode.loss_mask: 0.3972, decode.loss_dice: 0.6037, decode.d0.loss_cls: 1.0462, decode.d0.loss_mask: 0.4225, decode.d0.loss_dice: 0.6446, decode.d1.loss_cls: 0.1708, decode.d1.loss_mask: 0.4048, decode.d1.loss_dice: 0.6235, decode.d2.loss_cls: 0.1403, decode.d2.loss_mask: 0.4013, decode.d2.loss_dice: 0.6093, decode.d3.loss_cls: 0.1287, decode.d3.loss_mask: 0.4006, decode.d3.loss_dice: 0.6041, decode.d4.loss_cls: 0.1240, decode.d4.loss_mask: 0.3994, decode.d4.loss_dice: 0.6065, decode.d5.loss_cls: 0.1200, decode.d5.loss_mask: 0.3993, decode.d5.loss_dice: 0.6054, decode.d6.loss_cls: 0.1153, decode.d6.loss_mask: 0.3996, decode.d6.loss_dice: 0.6045, decode.d7.loss_cls: 0.1156, decode.d7.loss_mask: 0.3977, decode.d7.loss_dice: 0.6035, decode.d8.loss_cls: 0.1080, decode.d8.loss_mask: 0.3969, decode.d8.loss_dice: 0.6019, loss: 12.3083, grad_norm: 44.1606 2023-11-12 20:51:24,191 - mmseg - INFO - Iter [159650/160000] lr: 2.194e-07, eta: 0:02:54, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1351, decode.loss_mask: 0.3903, decode.loss_dice: 0.6107, decode.d0.loss_cls: 1.0937, decode.d0.loss_mask: 0.4190, decode.d0.loss_dice: 0.6630, decode.d1.loss_cls: 0.1995, decode.d1.loss_mask: 0.3988, decode.d1.loss_dice: 0.6369, decode.d2.loss_cls: 0.1643, decode.d2.loss_mask: 0.3938, decode.d2.loss_dice: 0.6229, decode.d3.loss_cls: 0.1591, decode.d3.loss_mask: 0.3920, decode.d3.loss_dice: 0.6107, decode.d4.loss_cls: 0.1417, decode.d4.loss_mask: 0.3916, decode.d4.loss_dice: 0.6215, decode.d5.loss_cls: 0.1423, decode.d5.loss_mask: 0.3911, decode.d5.loss_dice: 0.6153, decode.d6.loss_cls: 0.1361, decode.d6.loss_mask: 0.3912, decode.d6.loss_dice: 0.6131, decode.d7.loss_cls: 0.1357, decode.d7.loss_mask: 0.3915, decode.d7.loss_dice: 0.6137, decode.d8.loss_cls: 0.1326, decode.d8.loss_mask: 0.3916, decode.d8.loss_dice: 0.6114, loss: 12.6105, grad_norm: 43.2945 2023-11-12 20:51:47,940 - mmseg - INFO - Iter [159700/160000] lr: 1.881e-07, eta: 0:02:29, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1285, decode.loss_mask: 0.4110, decode.loss_dice: 0.6078, decode.d0.loss_cls: 1.0718, decode.d0.loss_mask: 0.4402, decode.d0.loss_dice: 0.6531, decode.d1.loss_cls: 0.1813, decode.d1.loss_mask: 0.4236, decode.d1.loss_dice: 0.6282, decode.d2.loss_cls: 0.1546, decode.d2.loss_mask: 0.4171, decode.d2.loss_dice: 0.6210, decode.d3.loss_cls: 0.1444, decode.d3.loss_mask: 0.4139, decode.d3.loss_dice: 0.6139, decode.d4.loss_cls: 0.1373, decode.d4.loss_mask: 0.4142, decode.d4.loss_dice: 0.6157, decode.d5.loss_cls: 0.1322, decode.d5.loss_mask: 0.4133, decode.d5.loss_dice: 0.6141, decode.d6.loss_cls: 0.1362, decode.d6.loss_mask: 0.4127, decode.d6.loss_dice: 0.6123, decode.d7.loss_cls: 0.1302, decode.d7.loss_mask: 0.4117, decode.d7.loss_dice: 0.6097, decode.d8.loss_cls: 0.1287, decode.d8.loss_mask: 0.4119, decode.d8.loss_dice: 0.6091, loss: 12.6997, grad_norm: 45.2457 2023-11-12 20:52:11,726 - mmseg - INFO - Iter [159750/160000] lr: 1.569e-07, eta: 0:02:04, time: 0.476, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1215, decode.loss_mask: 0.3919, decode.loss_dice: 0.5860, decode.d0.loss_cls: 1.0637, decode.d0.loss_mask: 0.4273, decode.d0.loss_dice: 0.6297, decode.d1.loss_cls: 0.1855, decode.d1.loss_mask: 0.4076, decode.d1.loss_dice: 0.6085, decode.d2.loss_cls: 0.1434, decode.d2.loss_mask: 0.4017, decode.d2.loss_dice: 0.5998, decode.d3.loss_cls: 0.1374, decode.d3.loss_mask: 0.3975, decode.d3.loss_dice: 0.5903, decode.d4.loss_cls: 0.1343, decode.d4.loss_mask: 0.3937, decode.d4.loss_dice: 0.5864, decode.d5.loss_cls: 0.1256, decode.d5.loss_mask: 0.3944, decode.d5.loss_dice: 0.5868, decode.d6.loss_cls: 0.1282, decode.d6.loss_mask: 0.3935, decode.d6.loss_dice: 0.5848, decode.d7.loss_cls: 0.1245, decode.d7.loss_mask: 0.3932, decode.d7.loss_dice: 0.5845, decode.d8.loss_cls: 0.1200, decode.d8.loss_mask: 0.3924, decode.d8.loss_dice: 0.5859, loss: 12.2202, grad_norm: 45.6542 2023-11-12 20:52:35,260 - mmseg - INFO - Iter [159800/160000] lr: 1.256e-07, eta: 0:01:39, time: 0.471, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1298, decode.loss_mask: 0.4077, decode.loss_dice: 0.6134, decode.d0.loss_cls: 1.0807, decode.d0.loss_mask: 0.4414, decode.d0.loss_dice: 0.6604, decode.d1.loss_cls: 0.1900, decode.d1.loss_mask: 0.4180, decode.d1.loss_dice: 0.6394, decode.d2.loss_cls: 0.1587, decode.d2.loss_mask: 0.4131, decode.d2.loss_dice: 0.6246, decode.d3.loss_cls: 0.1512, decode.d3.loss_mask: 0.4103, decode.d3.loss_dice: 0.6175, decode.d4.loss_cls: 0.1341, decode.d4.loss_mask: 0.4098, decode.d4.loss_dice: 0.6203, decode.d5.loss_cls: 0.1340, decode.d5.loss_mask: 0.4084, decode.d5.loss_dice: 0.6178, decode.d6.loss_cls: 0.1327, decode.d6.loss_mask: 0.4084, decode.d6.loss_dice: 0.6170, decode.d7.loss_cls: 0.1294, decode.d7.loss_mask: 0.4084, decode.d7.loss_dice: 0.6145, decode.d8.loss_cls: 0.1297, decode.d8.loss_mask: 0.4086, decode.d8.loss_dice: 0.6161, loss: 12.7453, grad_norm: 46.1506 2023-11-12 20:52:58,986 - mmseg - INFO - Iter [159850/160000] lr: 9.438e-08, eta: 0:01:14, time: 0.475, data_time: 0.013, memory: 41146, decode.loss_cls: 0.1216, decode.loss_mask: 0.3850, decode.loss_dice: 0.5921, decode.d0.loss_cls: 1.0774, decode.d0.loss_mask: 0.4168, decode.d0.loss_dice: 0.6424, decode.d1.loss_cls: 0.1817, decode.d1.loss_mask: 0.3981, decode.d1.loss_dice: 0.6160, decode.d2.loss_cls: 0.1515, decode.d2.loss_mask: 0.3924, decode.d2.loss_dice: 0.6056, decode.d3.loss_cls: 0.1341, decode.d3.loss_mask: 0.3896, decode.d3.loss_dice: 0.5944, decode.d4.loss_cls: 0.1288, decode.d4.loss_mask: 0.3879, decode.d4.loss_dice: 0.5945, decode.d5.loss_cls: 0.1287, decode.d5.loss_mask: 0.3866, decode.d5.loss_dice: 0.5964, decode.d6.loss_cls: 0.1297, decode.d6.loss_mask: 0.3864, decode.d6.loss_dice: 0.5920, decode.d7.loss_cls: 0.1259, decode.d7.loss_mask: 0.3870, decode.d7.loss_dice: 0.5938, decode.d8.loss_cls: 0.1237, decode.d8.loss_mask: 0.3852, decode.d8.loss_dice: 0.5919, loss: 12.2372, grad_norm: 44.0311 2023-11-12 20:53:22,654 - mmseg - INFO - Iter [159900/160000] lr: 6.312e-08, eta: 0:00:49, time: 0.473, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1148, decode.loss_mask: 0.3949, decode.loss_dice: 0.5973, decode.d0.loss_cls: 1.0614, decode.d0.loss_mask: 0.4220, decode.d0.loss_dice: 0.6467, decode.d1.loss_cls: 0.1638, decode.d1.loss_mask: 0.4047, decode.d1.loss_dice: 0.6222, decode.d2.loss_cls: 0.1335, decode.d2.loss_mask: 0.4015, decode.d2.loss_dice: 0.6102, decode.d3.loss_cls: 0.1288, decode.d3.loss_mask: 0.3977, decode.d3.loss_dice: 0.5996, decode.d4.loss_cls: 0.1254, decode.d4.loss_mask: 0.3960, decode.d4.loss_dice: 0.6006, decode.d5.loss_cls: 0.1184, decode.d5.loss_mask: 0.3968, decode.d5.loss_dice: 0.5974, decode.d6.loss_cls: 0.1183, decode.d6.loss_mask: 0.3955, decode.d6.loss_dice: 0.5975, decode.d7.loss_cls: 0.1201, decode.d7.loss_mask: 0.3946, decode.d7.loss_dice: 0.5957, decode.d8.loss_cls: 0.1181, decode.d8.loss_mask: 0.3948, decode.d8.loss_dice: 0.5966, loss: 12.2649, grad_norm: 43.3656 2023-11-12 20:53:46,419 - mmseg - INFO - Iter [159950/160000] lr: 3.188e-08, eta: 0:00:24, time: 0.475, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1304, decode.loss_mask: 0.3832, decode.loss_dice: 0.6240, decode.d0.loss_cls: 1.0942, decode.d0.loss_mask: 0.4098, decode.d0.loss_dice: 0.6708, decode.d1.loss_cls: 0.1884, decode.d1.loss_mask: 0.3933, decode.d1.loss_dice: 0.6514, decode.d2.loss_cls: 0.1582, decode.d2.loss_mask: 0.3861, decode.d2.loss_dice: 0.6349, decode.d3.loss_cls: 0.1457, decode.d3.loss_mask: 0.3843, decode.d3.loss_dice: 0.6250, decode.d4.loss_cls: 0.1376, decode.d4.loss_mask: 0.3838, decode.d4.loss_dice: 0.6219, decode.d5.loss_cls: 0.1334, decode.d5.loss_mask: 0.3843, decode.d5.loss_dice: 0.6244, decode.d6.loss_cls: 0.1313, decode.d6.loss_mask: 0.3839, decode.d6.loss_dice: 0.6223, decode.d7.loss_cls: 0.1302, decode.d7.loss_mask: 0.3833, decode.d7.loss_dice: 0.6215, decode.d8.loss_cls: 0.1268, decode.d8.loss_mask: 0.3829, decode.d8.loss_dice: 0.6231, loss: 12.5702, grad_norm: 42.5703 2023-11-12 20:54:10,150 - mmseg - INFO - Saving checkpoint at 160000 iterations 2023-11-12 20:54:14,061 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 20:54:14,061 - mmseg - INFO - Iter [160000/160000] lr: 6.250e-10, eta: 0:00:00, time: 0.553, data_time: 0.012, memory: 41146, decode.loss_cls: 0.1206, decode.loss_mask: 0.4044, decode.loss_dice: 0.6099, decode.d0.loss_cls: 1.0811, decode.d0.loss_mask: 0.4328, decode.d0.loss_dice: 0.6534, decode.d1.loss_cls: 0.1808, decode.d1.loss_mask: 0.4128, decode.d1.loss_dice: 0.6315, decode.d2.loss_cls: 0.1456, decode.d2.loss_mask: 0.4097, decode.d2.loss_dice: 0.6235, decode.d3.loss_cls: 0.1361, decode.d3.loss_mask: 0.4050, decode.d3.loss_dice: 0.6121, decode.d4.loss_cls: 0.1326, decode.d4.loss_mask: 0.4049, decode.d4.loss_dice: 0.6129, decode.d5.loss_cls: 0.1294, decode.d5.loss_mask: 0.4044, decode.d5.loss_dice: 0.6113, decode.d6.loss_cls: 0.1231, decode.d6.loss_mask: 0.4048, decode.d6.loss_dice: 0.6088, decode.d7.loss_cls: 0.1210, decode.d7.loss_mask: 0.4041, decode.d7.loss_dice: 0.6114, decode.d8.loss_cls: 0.1204, decode.d8.loss_mask: 0.4043, decode.d8.loss_dice: 0.6119, loss: 12.5645, grad_norm: 44.6408 2023-11-12 20:54:33,157 - mmseg - INFO - per class results: 2023-11-12 20:54:33,163 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.39 | 88.3 | | building | 83.36 | 91.88 | | sky | 94.75 | 97.38 | | floor | 83.54 | 91.09 | | tree | 75.56 | 87.55 | | ceiling | 84.48 | 90.89 | | road | 85.61 | 91.09 | | bed | 91.31 | 96.09 | | windowpane | 64.52 | 80.67 | | grass | 67.01 | 79.56 | | cabinet | 64.61 | 76.69 | | sidewalk | 68.06 | 80.87 | | person | 84.54 | 93.25 | | earth | 43.37 | 60.09 | | door | 51.28 | 66.78 | | table | 67.91 | 81.84 | | mountain | 63.51 | 75.76 | | plant | 52.63 | 68.39 | | curtain | 79.01 | 88.74 | | chair | 63.58 | 76.12 | | car | 86.03 | 92.13 | | water | 49.43 | 62.72 | | painting | 78.52 | 89.23 | | sofa | 68.44 | 82.02 | | shelf | 43.27 | 59.69 | | house | 39.96 | 64.59 | | sea | 58.46 | 90.5 | | mirror | 70.72 | 80.35 | | rug | 63.75 | 76.07 | | field | 32.55 | 50.74 | | armchair | 47.8 | 68.12 | | seat | 59.57 | 80.46 | | fence | 52.17 | 70.24 | | desk | 55.7 | 75.27 | | rock | 49.49 | 77.23 | | wardrobe | 44.98 | 64.62 | | lamp | 71.88 | 83.92 | | bathtub | 83.8 | 89.56 | | railing | 37.3 | 54.4 | | cushion | 64.49 | 77.11 | | base | 36.22 | 59.22 | | box | 29.37 | 40.42 | | column | 45.62 | 56.54 | | signboard | 34.64 | 53.16 | | chest of drawers | 41.4 | 60.84 | | counter | 28.86 | 34.37 | | sand | 33.03 | 45.46 | | sink | 76.78 | 81.86 | | skyscraper | 38.23 | 43.45 | | fireplace | 77.91 | 96.98 | | refrigerator | 76.75 | 83.53 | | grandstand | 41.03 | 74.4 | | path | 30.73 | 47.43 | | stairs | 31.47 | 40.22 | | runway | 78.34 | 92.31 | | case | 64.71 | 80.17 | | pool table | 95.15 | 97.59 | | pillow | 62.35 | 77.26 | | screen door | 80.18 | 88.57 | | stairway | 34.2 | 42.43 | | river | 12.33 | 20.25 | | bridge | 73.96 | 89.01 | | bookcase | 38.89 | 64.36 | | blind | 47.63 | 53.04 | | coffee table | 68.47 | 85.86 | | toilet | 88.78 | 91.67 | | flower | 51.62 | 65.46 | | book | 50.37 | 71.95 | | hill | 8.08 | 14.91 | | bench | 63.43 | 74.41 | | countertop | 60.33 | 78.47 | | stove | 84.62 | 89.28 | | palm | 56.73 | 74.29 | | kitchen island | 58.48 | 89.65 | | computer | 71.92 | 78.7 | | swivel chair | 36.03 | 53.22 | | boat | 48.92 | 53.72 | | bar | 53.05 | 64.9 | | arcade machine | 85.04 | 90.14 | | hovel | 26.49 | 41.33 | | bus | 93.99 | 96.41 | | towel | 64.5 | 81.19 | | light | 62.68 | 71.88 | | truck | 31.58 | 56.82 | | tower | 37.57 | 63.42 | | chandelier | 71.79 | 87.36 | | awning | 34.34 | 45.24 | | streetlight | 42.58 | 62.5 | | booth | 36.88 | 73.49 | | television receiver | 72.46 | 82.95 | | airplane | 71.53 | 80.97 | | dirt track | 9.52 | 55.12 | | apparel | 26.95 | 47.83 | | pole | 31.28 | 47.88 | | land | 4.17 | 9.1 | | bannister | 18.66 | 31.77 | | escalator | 19.8 | 20.97 | | ottoman | 61.33 | 78.6 | | bottle | 29.13 | 35.96 | | buffet | 47.64 | 55.85 | | poster | 19.62 | 30.54 | | stage | 18.39 | 29.71 | | van | 49.06 | 64.66 | | ship | 4.5 | 10.59 | | fountain | 20.65 | 21.88 | | conveyer belt | 65.71 | 93.11 | | canopy | 32.49 | 46.31 | | washer | 70.97 | 73.58 | | plaything | 27.19 | 36.1 | | swimming pool | 35.16 | 37.52 | | stool | 44.37 | 67.93 | | barrel | 90.58 | 96.36 | | basket | 36.11 | 44.73 | | waterfall | 57.39 | 90.62 | | tent | 95.54 | 98.19 | | bag | 16.68 | 20.37 | | minibike | 75.82 | 92.05 | | cradle | 85.53 | 97.3 | | oven | 24.89 | 68.06 | | ball | 55.87 | 67.43 | | food | 62.19 | 75.86 | | step | 16.3 | 21.34 | | tank | 63.26 | 66.23 | | trade name | 29.25 | 36.09 | | microwave | 41.73 | 46.07 | | pot | 49.98 | 56.63 | | animal | 56.13 | 57.22 | | bicycle | 55.15 | 76.77 | | lake | 57.69 | 63.61 | | dishwasher | 80.19 | 86.05 | | screen | 61.78 | 93.17 | | blanket | 25.75 | 36.26 | | sculpture | 68.4 | 87.02 | | hood | 87.9 | 93.26 | | sconce | 56.53 | 67.89 | | vase | 50.4 | 67.84 | | traffic light | 43.83 | 67.75 | | tray | 15.36 | 27.73 | | ashcan | 52.16 | 66.38 | | fan | 71.06 | 84.96 | | pier | 33.9 | 44.76 | | crt screen | 3.98 | 12.08 | | plate | 58.63 | 72.19 | | monitor | 9.2 | 12.3 | | bulletin board | 51.28 | 76.17 | | shower | 4.92 | 22.99 | | radiator | 71.93 | 83.77 | | glass | 21.77 | 23.31 | | clock | 57.93 | 68.73 | | flag | 45.33 | 51.99 | +---------------------+-------+-------+ 2023-11-12 20:54:33,163 - mmseg - INFO - Summary: 2023-11-12 20:54:33,163 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.23 | 52.85 | 66.08 | +-------+-------+-------+ 2023-11-12 20:54:33,164 - mmseg - INFO - Exp name: mask2former_flash_internimage_b_640_160k_ade20k_ss_2000.py 2023-11-12 20:54:33,164 - mmseg - INFO - Iter(val) [250] aAcc: 0.8423, mIoU: 0.5285, mAcc: 0.6608, IoU.wall: 0.7939, IoU.building: 0.8336, IoU.sky: 0.9475, IoU.floor: 0.8354, IoU.tree: 0.7556, IoU.ceiling: 0.8448, IoU.road: 0.8561, IoU.bed : 0.9131, IoU.windowpane: 0.6452, IoU.grass: 0.6701, IoU.cabinet: 0.6461, IoU.sidewalk: 0.6806, IoU.person: 0.8454, IoU.earth: 0.4337, IoU.door: 0.5128, IoU.table: 0.6791, IoU.mountain: 0.6351, IoU.plant: 0.5263, IoU.curtain: 0.7901, IoU.chair: 0.6358, IoU.car: 0.8603, IoU.water: 0.4943, IoU.painting: 0.7852, IoU.sofa: 0.6844, IoU.shelf: 0.4327, IoU.house: 0.3996, IoU.sea: 0.5846, IoU.mirror: 0.7072, IoU.rug: 0.6375, IoU.field: 0.3255, IoU.armchair: 0.4780, IoU.seat: 0.5957, IoU.fence: 0.5217, IoU.desk: 0.5570, IoU.rock: 0.4949, IoU.wardrobe: 0.4498, IoU.lamp: 0.7188, IoU.bathtub: 0.8380, IoU.railing: 0.3730, IoU.cushion: 0.6449, IoU.base: 0.3622, IoU.box: 0.2937, IoU.column: 0.4562, IoU.signboard: 0.3464, IoU.chest of drawers: 0.4140, IoU.counter: 0.2886, IoU.sand: 0.3303, IoU.sink: 0.7678, IoU.skyscraper: 0.3823, IoU.fireplace: 0.7791, IoU.refrigerator: 0.7675, IoU.grandstand: 0.4103, IoU.path: 0.3073, IoU.stairs: 0.3147, IoU.runway: 0.7834, IoU.case: 0.6471, IoU.pool table: 0.9515, IoU.pillow: 0.6235, IoU.screen door: 0.8018, IoU.stairway: 0.3420, IoU.river: 0.1233, IoU.bridge: 0.7396, IoU.bookcase: 0.3889, IoU.blind: 0.4763, IoU.coffee table: 0.6847, IoU.toilet: 0.8878, IoU.flower: 0.5162, IoU.book: 0.5037, IoU.hill: 0.0808, IoU.bench: 0.6343, IoU.countertop: 0.6033, IoU.stove: 0.8462, IoU.palm: 0.5673, IoU.kitchen island: 0.5848, IoU.computer: 0.7192, IoU.swivel chair: 0.3603, IoU.boat: 0.4892, IoU.bar: 0.5305, IoU.arcade machine: 0.8504, IoU.hovel: 0.2649, IoU.bus: 0.9399, IoU.towel: 0.6450, IoU.light: 0.6268, IoU.truck: 0.3158, IoU.tower: 0.3757, IoU.chandelier: 0.7179, IoU.awning: 0.3434, IoU.streetlight: 0.4258, IoU.booth: 0.3688, IoU.television receiver: 0.7246, IoU.airplane: 0.7153, IoU.dirt track: 0.0952, IoU.apparel: 0.2695, IoU.pole: 0.3128, IoU.land: 0.0417, IoU.bannister: 0.1866, IoU.escalator: 0.1980, IoU.ottoman: 0.6133, IoU.bottle: 0.2913, IoU.buffet: 0.4764, IoU.poster: 0.1962, IoU.stage: 0.1839, IoU.van: 0.4906, IoU.ship: 0.0450, IoU.fountain: 0.2065, IoU.conveyer belt: 0.6571, IoU.canopy: 0.3249, IoU.washer: 0.7097, IoU.plaything: 0.2719, IoU.swimming pool: 0.3516, IoU.stool: 0.4437, IoU.barrel: 0.9058, IoU.basket: 0.3611, IoU.waterfall: 0.5739, IoU.tent: 0.9554, IoU.bag: 0.1668, IoU.minibike: 0.7582, IoU.cradle: 0.8553, IoU.oven: 0.2489, IoU.ball: 0.5587, IoU.food: 0.6219, IoU.step: 0.1630, IoU.tank: 0.6326, IoU.trade name: 0.2925, IoU.microwave: 0.4173, IoU.pot: 0.4998, IoU.animal: 0.5613, IoU.bicycle: 0.5515, IoU.lake: 0.5769, IoU.dishwasher: 0.8019, IoU.screen: 0.6178, IoU.blanket: 0.2575, IoU.sculpture: 0.6840, IoU.hood: 0.8790, IoU.sconce: 0.5653, IoU.vase: 0.5040, IoU.traffic light: 0.4383, IoU.tray: 0.1536, IoU.ashcan: 0.5216, IoU.fan: 0.7106, IoU.pier: 0.3390, IoU.crt screen: 0.0398, IoU.plate: 0.5863, IoU.monitor: 0.0920, IoU.bulletin board: 0.5128, IoU.shower: 0.0492, IoU.radiator: 0.7193, IoU.glass: 0.2177, IoU.clock: 0.5793, IoU.flag: 0.4533, Acc.wall: 0.8830, Acc.building: 0.9188, Acc.sky: 0.9738, Acc.floor: 0.9109, Acc.tree: 0.8755, Acc.ceiling: 0.9089, Acc.road: 0.9109, Acc.bed : 0.9609, Acc.windowpane: 0.8067, Acc.grass: 0.7956, Acc.cabinet: 0.7669, Acc.sidewalk: 0.8087, Acc.person: 0.9325, Acc.earth: 0.6009, Acc.door: 0.6678, Acc.table: 0.8184, Acc.mountain: 0.7576, Acc.plant: 0.6839, Acc.curtain: 0.8874, Acc.chair: 0.7612, Acc.car: 0.9213, Acc.water: 0.6272, Acc.painting: 0.8923, Acc.sofa: 0.8202, Acc.shelf: 0.5969, Acc.house: 0.6459, Acc.sea: 0.9050, Acc.mirror: 0.8035, Acc.rug: 0.7607, Acc.field: 0.5074, Acc.armchair: 0.6812, Acc.seat: 0.8046, Acc.fence: 0.7024, Acc.desk: 0.7527, Acc.rock: 0.7723, Acc.wardrobe: 0.6462, Acc.lamp: 0.8392, Acc.bathtub: 0.8956, Acc.railing: 0.5440, Acc.cushion: 0.7711, Acc.base: 0.5922, Acc.box: 0.4042, Acc.column: 0.5654, Acc.signboard: 0.5316, Acc.chest of drawers: 0.6084, Acc.counter: 0.3437, Acc.sand: 0.4546, Acc.sink: 0.8186, Acc.skyscraper: 0.4345, Acc.fireplace: 0.9698, Acc.refrigerator: 0.8353, Acc.grandstand: 0.7440, Acc.path: 0.4743, Acc.stairs: 0.4022, Acc.runway: 0.9231, Acc.case: 0.8017, Acc.pool table: 0.9759, Acc.pillow: 0.7726, Acc.screen door: 0.8857, Acc.stairway: 0.4243, Acc.river: 0.2025, Acc.bridge: 0.8901, Acc.bookcase: 0.6436, Acc.blind: 0.5304, Acc.coffee table: 0.8586, Acc.toilet: 0.9167, Acc.flower: 0.6546, Acc.book: 0.7195, Acc.hill: 0.1491, Acc.bench: 0.7441, Acc.countertop: 0.7847, Acc.stove: 0.8928, Acc.palm: 0.7429, Acc.kitchen island: 0.8965, Acc.computer: 0.7870, Acc.swivel chair: 0.5322, Acc.boat: 0.5372, Acc.bar: 0.6490, Acc.arcade machine: 0.9014, Acc.hovel: 0.4133, Acc.bus: 0.9641, Acc.towel: 0.8119, Acc.light: 0.7188, Acc.truck: 0.5682, Acc.tower: 0.6342, Acc.chandelier: 0.8736, Acc.awning: 0.4524, Acc.streetlight: 0.6250, Acc.booth: 0.7349, Acc.television receiver: 0.8295, Acc.airplane: 0.8097, Acc.dirt track: 0.5512, Acc.apparel: 0.4783, Acc.pole: 0.4788, Acc.land: 0.0910, Acc.bannister: 0.3177, Acc.escalator: 0.2097, Acc.ottoman: 0.7860, Acc.bottle: 0.3596, Acc.buffet: 0.5585, Acc.poster: 0.3054, Acc.stage: 0.2971, Acc.van: 0.6466, Acc.ship: 0.1059, Acc.fountain: 0.2188, Acc.conveyer belt: 0.9311, Acc.canopy: 0.4631, Acc.washer: 0.7358, Acc.plaything: 0.3610, Acc.swimming pool: 0.3752, Acc.stool: 0.6793, Acc.barrel: 0.9636, Acc.basket: 0.4473, Acc.waterfall: 0.9062, Acc.tent: 0.9819, Acc.bag: 0.2037, Acc.minibike: 0.9205, Acc.cradle: 0.9730, Acc.oven: 0.6806, Acc.ball: 0.6743, Acc.food: 0.7586, Acc.step: 0.2134, Acc.tank: 0.6623, Acc.trade name: 0.3609, Acc.microwave: 0.4607, Acc.pot: 0.5663, Acc.animal: 0.5722, Acc.bicycle: 0.7677, Acc.lake: 0.6361, Acc.dishwasher: 0.8605, Acc.screen: 0.9317, Acc.blanket: 0.3626, Acc.sculpture: 0.8702, Acc.hood: 0.9326, Acc.sconce: 0.6789, Acc.vase: 0.6784, Acc.traffic light: 0.6775, Acc.tray: 0.2773, Acc.ashcan: 0.6638, Acc.fan: 0.8496, Acc.pier: 0.4476, Acc.crt screen: 0.1208, Acc.plate: 0.7219, Acc.monitor: 0.1230, Acc.bulletin board: 0.7617, Acc.shower: 0.2299, Acc.radiator: 0.8377, Acc.glass: 0.2331, Acc.clock: 0.6873, Acc.flag: 0.5199