2024/01/13 12:01:21 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0] CUDA available: True numpy_random_seed: 673826241 GPU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15: Tesla V100-SXM3-32GB CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.7, V11.7.99 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 PyTorch: 1.13.0 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 11.7 - 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 8.5 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -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 -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -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=1.13.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.14.0 OpenCV: 4.9.0 MMEngine: 0.10.1 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: 673826241 Distributed launcher: pytorch Distributed training: True GPU number: 16 ------------------------------------------------------------ 2024/01/13 12:01:21 - mmengine - INFO - Config: auto_scale_lr = dict(base_batch_size=16, enable=False) backend_args = None data_root = 'data/coco/' dataset_type = 'CocoDataset' default_hooks = dict( checkpoint=dict(interval=1, type='CheckpointHook'), logger=dict(interval=50, type='LoggerHook'), param_scheduler=dict(type='ParamSchedulerHook'), sampler_seed=dict(type='DistSamplerSeedHook'), timer=dict(type='IterTimerHook'), visualization=dict(type='DetVisualizationHook')) default_scope = 'mmdet' env_cfg = dict( cudnn_benchmark=False, dist_cfg=dict(backend='nccl'), mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0)) launcher = 'pytorch' load_from = None log_level = 'INFO' log_processor = dict(by_epoch=True, type='LogProcessor', window_size=50) max_epochs = 12 model = dict( backbone=dict( attn_drop_rate=0.0, convert_weights=True, depths=( 2, 2, 27, 2, ), dims=128, drop_path_rate=0.2, drop_rate=0.0, embed_dims=96, init_cfg=dict( checkpoint= 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_tiny_patch4_window7_224.pth', type='Pretrained'), mlp_ratio=4, num_heads=[ 3, 6, 12, 24, ], out_indices=( 0, 1, 2, 3, ), patch_norm=True, pretrained='../../ckpts/vssmbase/ckpt_epoch_260.pth', qk_scale=None, qkv_bias=True, type='MMDET_VSSM', window_size=7, with_cp=False), data_preprocessor=dict( bgr_to_rgb=True, mean=[ 123.675, 116.28, 103.53, ], pad_mask=True, pad_size_divisor=32, std=[ 58.395, 57.12, 57.375, ], type='DetDataPreprocessor'), neck=dict( in_channels=[ 128, 256, 512, 1024, ], num_outs=5, out_channels=256, type='FPN'), roi_head=dict( bbox_head=dict( bbox_coder=dict( target_means=[ 0.0, 0.0, 0.0, 0.0, ], target_stds=[ 0.1, 0.1, 0.2, 0.2, ], type='DeltaXYWHBBoxCoder'), fc_out_channels=1024, in_channels=256, loss_bbox=dict(loss_weight=1.0, type='L1Loss'), loss_cls=dict( loss_weight=1.0, type='CrossEntropyLoss', use_sigmoid=False), num_classes=80, reg_class_agnostic=False, roi_feat_size=7, type='Shared2FCBBoxHead'), bbox_roi_extractor=dict( featmap_strides=[ 4, 8, 16, 32, ], out_channels=256, roi_layer=dict(output_size=7, sampling_ratio=0, type='RoIAlign'), type='SingleRoIExtractor'), mask_head=dict( conv_out_channels=256, in_channels=256, loss_mask=dict( loss_weight=1.0, type='CrossEntropyLoss', use_mask=True), num_classes=80, num_convs=4, type='FCNMaskHead'), mask_roi_extractor=dict( featmap_strides=[ 4, 8, 16, 32, ], out_channels=256, roi_layer=dict(output_size=14, sampling_ratio=0, type='RoIAlign'), type='SingleRoIExtractor'), type='StandardRoIHead'), rpn_head=dict( anchor_generator=dict( ratios=[ 0.5, 1.0, 2.0, ], scales=[ 8, ], strides=[ 4, 8, 16, 32, 64, ], type='AnchorGenerator'), bbox_coder=dict( target_means=[ 0.0, 0.0, 0.0, 0.0, ], target_stds=[ 1.0, 1.0, 1.0, 1.0, ], type='DeltaXYWHBBoxCoder'), feat_channels=256, in_channels=256, loss_bbox=dict(loss_weight=1.0, type='L1Loss'), loss_cls=dict( loss_weight=1.0, type='CrossEntropyLoss', use_sigmoid=True), type='RPNHead'), test_cfg=dict( rcnn=dict( mask_thr_binary=0.5, max_per_img=100, nms=dict(iou_threshold=0.5, type='nms'), score_thr=0.05), rpn=dict( max_per_img=1000, min_bbox_size=0, nms=dict(iou_threshold=0.7, type='nms'), nms_pre=1000)), train_cfg=dict( rcnn=dict( assigner=dict( ignore_iof_thr=-1, match_low_quality=True, min_pos_iou=0.5, neg_iou_thr=0.5, pos_iou_thr=0.5, type='MaxIoUAssigner'), debug=False, mask_size=28, pos_weight=-1, sampler=dict( add_gt_as_proposals=True, neg_pos_ub=-1, num=512, pos_fraction=0.25, type='RandomSampler')), rpn=dict( allowed_border=-1, assigner=dict( ignore_iof_thr=-1, match_low_quality=True, min_pos_iou=0.3, neg_iou_thr=0.3, pos_iou_thr=0.7, type='MaxIoUAssigner'), debug=False, pos_weight=-1, sampler=dict( add_gt_as_proposals=False, neg_pos_ub=-1, num=256, pos_fraction=0.5, type='RandomSampler')), rpn_proposal=dict( max_per_img=1000, min_bbox_size=0, nms=dict(iou_threshold=0.7, type='nms'), nms_pre=2000)), type='MaskRCNN') optim_wrapper = dict( optimizer=dict( betas=( 0.9, 0.999, ), lr=0.0001, type='AdamW', weight_decay=0.05), paramwise_cfg=dict( custom_keys=dict( absolute_pos_embed=dict(decay_mult=0.0), norm=dict(decay_mult=0.0), relative_position_bias_table=dict(decay_mult=0.0))), type='OptimWrapper') param_scheduler = [ dict( begin=0, by_epoch=False, end=1000, start_factor=0.001, type='LinearLR'), dict( begin=0, by_epoch=True, end=12, gamma=0.1, milestones=[ 8, 11, ], type='MultiStepLR'), ] pretrained = 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_tiny_patch4_window7_224.pth' resume = False test_cfg = dict(type='TestLoop') test_dataloader = dict( batch_size=1, dataset=dict( ann_file='annotations/instances_val2017.json', backend_args=None, data_prefix=dict(img='val2017/'), data_root='data/coco/', pipeline=[ dict(backend_args=None, type='LoadImageFromFile'), dict(keep_ratio=True, scale=( 1333, 800, ), type='Resize'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', ), type='PackDetInputs'), ], test_mode=True, type='CocoDataset'), drop_last=False, num_workers=2, persistent_workers=True, sampler=dict(shuffle=False, type='DefaultSampler')) test_evaluator = dict( ann_file='data/coco/annotations/instances_val2017.json', backend_args=None, format_only=False, metric=[ 'bbox', 'segm', ], type='CocoMetric') test_pipeline = [ dict(backend_args=None, type='LoadImageFromFile'), dict(keep_ratio=True, scale=( 1333, 800, ), type='Resize'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', ), type='PackDetInputs'), ] train_cfg = dict(max_epochs=12, type='EpochBasedTrainLoop', val_interval=1) train_dataloader = dict( batch_sampler=dict(type='AspectRatioBatchSampler'), batch_size=1, dataset=dict( ann_file='annotations/instances_train2017.json', backend_args=None, data_prefix=dict(img='train2017/'), data_root='data/coco/', filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict(backend_args=None, type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict(keep_ratio=True, scale=( 1333, 800, ), type='Resize'), dict(prob=0.5, type='RandomFlip'), dict(type='PackDetInputs'), ], type='CocoDataset'), num_workers=2, persistent_workers=True, sampler=dict(shuffle=True, type='DefaultSampler')) train_pipeline = [ dict(backend_args=None, type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict(keep_ratio=True, scale=( 1333, 800, ), type='Resize'), dict(prob=0.5, type='RandomFlip'), dict(type='PackDetInputs'), ] val_cfg = dict(type='ValLoop') val_dataloader = dict( batch_size=1, dataset=dict( ann_file='annotations/instances_val2017.json', backend_args=None, data_prefix=dict(img='val2017/'), data_root='data/coco/', pipeline=[ dict(backend_args=None, type='LoadImageFromFile'), dict(keep_ratio=True, scale=( 1333, 800, ), type='Resize'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', ), type='PackDetInputs'), ], test_mode=True, type='CocoDataset'), drop_last=False, num_workers=2, persistent_workers=True, sampler=dict(shuffle=False, type='DefaultSampler')) val_evaluator = dict( ann_file='data/coco/annotations/instances_val2017.json', backend_args=None, format_only=False, metric=[ 'bbox', 'segm', ], type='CocoMetric') vis_backends = [ dict(type='LocalVisBackend'), ] visualizer = dict( name='visualizer', type='DetLocalVisualizer', vis_backends=[ dict(type='LocalVisBackend'), ]) work_dir = './work_dirs/mask_rcnn_swin_fpn_coco_base' 2024/01/13 12:01:25 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val: (VERY_HIGH ) RuntimeInfoHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (NORMAL ) DetVisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_val: (VERY_HIGH ) RuntimeInfoHook -------------------- after_train: (VERY_HIGH ) RuntimeInfoHook (VERY_LOW ) CheckpointHook -------------------- before_test: (VERY_HIGH ) RuntimeInfoHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (NORMAL ) DetVisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_test: (VERY_HIGH ) RuntimeInfoHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.weight:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.weight:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.weight:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.bias:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.bias:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.bias:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.self_attention.out_norm.weight:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.self_attention.out_norm.weight:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.self_attention.out_norm.weight:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.self_attention.out_norm.bias:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.self_attention.out_norm.bias:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.self_attention.out_norm.bias:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.self_attention.out_norm.weight:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.self_attention.out_norm.weight:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.self_attention.out_norm.weight:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.self_attention.out_norm.bias:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.self_attention.out_norm.bias:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.self_attention.out_norm.bias:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.weight:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.weight:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.weight:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.bias:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.bias:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.bias:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.self_attention.out_norm.weight:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.self_attention.out_norm.weight:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.self_attention.out_norm.weight:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.self_attention.out_norm.bias:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.self_attention.out_norm.bias:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.self_attention.out_norm.bias:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.self_attention.out_norm.weight:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.self_attention.out_norm.weight:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- 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backbone.layers.1.downsample.norm.bias:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.1.downsample.norm.bias:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.self_attention.out_norm.weight:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.self_attention.out_norm.weight:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.self_attention.out_norm.weight:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.self_attention.out_norm.bias:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.self_attention.out_norm.bias:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.0.self_attention.out_norm.bias:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO 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12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.weight:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.weight:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.bias:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.bias:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.bias:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.self_attention.out_norm.weight:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.self_attention.out_norm.weight:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.self_attention.out_norm.weight:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.self_attention.out_norm.bias:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.self_attention.out_norm.bias:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.self_attention.out_norm.bias:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.self_attention.out_norm.weight:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.self_attention.out_norm.weight:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.self_attention.out_norm.weight:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.self_attention.out_norm.bias:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.self_attention.out_norm.bias:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.self_attention.out_norm.bias:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm0.weight:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm0.weight:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm0.weight:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm0.bias:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm0.bias:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm0.bias:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm1.weight:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm1.weight:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm1.weight:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm1.bias:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm1.bias:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm1.bias:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm2.weight:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm2.weight:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm2.weight:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm2.bias:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm2.bias:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm2.bias:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm3.weight:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm3.weight:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm3.weight:decay_mult=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm3.bias:lr=0.0001 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm3.bias:weight_decay=0.0 2024/01/13 12:01:57 - mmengine - INFO - paramwise_options -- backbone.outnorm3.bias:decay_mult=0.0 Name of parameter - Initialization information backbone.patch_embed.proj.weight - torch.Size([128, 3, 4, 4]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.patch_embed.proj.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.patch_embed.norm.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.patch_embed.norm.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.0.ln_1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.0.ln_1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.0.self_attention.x_proj_weight - torch.Size([4, 40, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.0.self_attention.dt_projs_weight - torch.Size([4, 256, 8]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.0.self_attention.dt_projs_bias - torch.Size([4, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.0.self_attention.A_logs - torch.Size([1024, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.0.self_attention.Ds - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.0.self_attention.in_proj.weight - torch.Size([512, 128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.0.self_attention.conv2d.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.0.self_attention.conv2d.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.0.self_attention.out_norm.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.0.self_attention.out_norm.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.0.self_attention.out_proj.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.1.ln_1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.1.ln_1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.1.self_attention.x_proj_weight - torch.Size([4, 40, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.1.self_attention.dt_projs_weight - torch.Size([4, 256, 8]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.1.self_attention.dt_projs_bias - torch.Size([4, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.1.self_attention.A_logs - torch.Size([1024, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.1.self_attention.Ds - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.1.self_attention.in_proj.weight - torch.Size([512, 128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.1.self_attention.conv2d.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.1.self_attention.conv2d.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.1.self_attention.out_norm.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.1.self_attention.out_norm.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.blocks.1.self_attention.out_proj.weight - torch.Size([128, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.downsample.reduction.weight - torch.Size([256, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.downsample.norm.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.0.downsample.norm.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.0.ln_1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.0.ln_1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.0.self_attention.x_proj_weight - torch.Size([4, 48, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.0.self_attention.dt_projs_weight - torch.Size([4, 512, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.0.self_attention.dt_projs_bias - torch.Size([4, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.0.self_attention.A_logs - torch.Size([2048, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.0.self_attention.Ds - torch.Size([2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.0.self_attention.in_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.0.self_attention.conv2d.weight - torch.Size([512, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.0.self_attention.conv2d.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.0.self_attention.out_norm.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.0.self_attention.out_norm.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.0.self_attention.out_proj.weight - torch.Size([256, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.1.ln_1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.1.ln_1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.1.self_attention.x_proj_weight - torch.Size([4, 48, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.1.self_attention.dt_projs_weight - torch.Size([4, 512, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.1.self_attention.dt_projs_bias - torch.Size([4, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.1.self_attention.A_logs - torch.Size([2048, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.1.self_attention.Ds - torch.Size([2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.1.self_attention.in_proj.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.1.self_attention.conv2d.weight - torch.Size([512, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.1.self_attention.conv2d.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.1.self_attention.out_norm.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.1.self_attention.out_norm.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.blocks.1.self_attention.out_proj.weight - torch.Size([256, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.downsample.reduction.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.downsample.norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.1.downsample.norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.0.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.0.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.0.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.0.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.0.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.0.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.0.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.0.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.0.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.0.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.0.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.0.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.0.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.1.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.1.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.1.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.1.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.1.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.1.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.1.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.1.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.1.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.1.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.1.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.1.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.1.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.2.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.2.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.2.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.2.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.2.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.2.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.2.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.2.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.2.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.2.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.2.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.2.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.2.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.3.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.3.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.3.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.3.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.3.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.3.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.3.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.3.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.3.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.3.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.3.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.3.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.3.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.4.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.4.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.4.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.4.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.4.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.4.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.4.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.4.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.4.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.4.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.4.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.4.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.4.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.5.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.5.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.5.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.5.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.5.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.5.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.5.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.5.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.5.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.5.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.5.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.5.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.5.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.6.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.6.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.6.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.6.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.6.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.6.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.6.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.6.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.6.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.6.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.6.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.6.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.6.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.7.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.7.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.7.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.7.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.7.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.7.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.7.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.7.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.7.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.7.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.7.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.7.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.7.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.8.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.8.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.8.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.8.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.8.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.8.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.8.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.8.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.8.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.8.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.8.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.8.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.8.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.9.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.9.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.9.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.9.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.9.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.9.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.9.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.9.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.9.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.9.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.9.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.9.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.9.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.10.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.10.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.10.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.10.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.10.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.10.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.10.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.10.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.10.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.10.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.10.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.10.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.10.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.11.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.11.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.11.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.11.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.11.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.11.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.11.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.11.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.11.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.11.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.11.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.11.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.11.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.12.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.12.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.12.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.12.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.12.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.12.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.12.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.12.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.12.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.12.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.12.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.12.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.12.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.13.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.13.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.13.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.13.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.13.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.13.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.13.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.13.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.13.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.13.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.13.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.13.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.13.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.14.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.14.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.14.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.14.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.14.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.14.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.14.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.14.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.14.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.14.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.14.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.14.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.14.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.15.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.15.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.15.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.15.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.15.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.15.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.15.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.15.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.15.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.15.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.15.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.15.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.15.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.16.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.16.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.16.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.16.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.16.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.16.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.16.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.16.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.16.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.16.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.16.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.16.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.16.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.17.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.17.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.17.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.17.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.17.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.17.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.17.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.17.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.17.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.17.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.17.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.17.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.17.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.18.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.18.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.18.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.18.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.18.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.18.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.18.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.18.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.18.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.18.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.18.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.18.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.18.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.19.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.19.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.19.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.19.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.19.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.19.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.19.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.19.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.19.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.19.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.19.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.19.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.19.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.20.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.20.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.20.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.20.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.20.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.20.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.20.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.20.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.20.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.20.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.20.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.20.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.20.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.21.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.21.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.21.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.21.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.21.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.21.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.21.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.21.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.21.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.21.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.21.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.21.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.21.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.22.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.22.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.22.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.22.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.22.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.22.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.22.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.22.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.22.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.22.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.22.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.22.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.22.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.23.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.23.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.23.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.23.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.23.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.23.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.23.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.23.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.23.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.23.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.23.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.23.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.23.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.24.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.24.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.24.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.24.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.24.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.24.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.24.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.24.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.24.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.24.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.24.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.24.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.24.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.25.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.25.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.25.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.25.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.25.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.25.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.25.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.25.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.25.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.25.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.25.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.25.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.25.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.26.ln_1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.26.ln_1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.26.self_attention.x_proj_weight - torch.Size([4, 64, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.26.self_attention.dt_projs_weight - torch.Size([4, 1024, 32]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.26.self_attention.dt_projs_bias - torch.Size([4, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.26.self_attention.A_logs - torch.Size([4096, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.26.self_attention.Ds - torch.Size([4096]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.26.self_attention.in_proj.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.26.self_attention.conv2d.weight - torch.Size([1024, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.26.self_attention.conv2d.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.26.self_attention.out_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.26.self_attention.out_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.blocks.26.self_attention.out_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.downsample.reduction.weight - torch.Size([1024, 2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.downsample.norm.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.2.downsample.norm.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.0.ln_1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.0.ln_1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.0.self_attention.x_proj_weight - torch.Size([4, 96, 2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.0.self_attention.dt_projs_weight - torch.Size([4, 2048, 64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.0.self_attention.dt_projs_bias - torch.Size([4, 2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.0.self_attention.A_logs - torch.Size([8192, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.0.self_attention.Ds - torch.Size([8192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.0.self_attention.in_proj.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.0.self_attention.conv2d.weight - torch.Size([2048, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.0.self_attention.conv2d.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.0.self_attention.out_norm.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.0.self_attention.out_norm.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.0.self_attention.out_proj.weight - torch.Size([1024, 2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.1.ln_1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.1.ln_1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.1.self_attention.x_proj_weight - torch.Size([4, 96, 2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.1.self_attention.dt_projs_weight - torch.Size([4, 2048, 64]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.1.self_attention.dt_projs_bias - torch.Size([4, 2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.1.self_attention.A_logs - torch.Size([8192, 16]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.1.self_attention.Ds - torch.Size([8192]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.1.self_attention.in_proj.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.1.self_attention.conv2d.weight - torch.Size([2048, 1, 3, 3]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.1.self_attention.conv2d.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.1.self_attention.out_norm.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.1.self_attention.out_norm.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.layers.3.blocks.1.self_attention.out_proj.weight - torch.Size([1024, 2048]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.outnorm0.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.outnorm0.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.outnorm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.outnorm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.outnorm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.outnorm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.outnorm3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN backbone.outnorm3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.0.conv.weight - torch.Size([256, 128, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.1.conv.weight - torch.Size([256, 256, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.2.conv.weight - torch.Size([256, 512, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.lateral_convs.3.conv.weight - torch.Size([256, 1024, 1, 1]): XavierInit: gain=1, distribution=uniform, bias=0 neck.lateral_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=uniform, bias=0 neck.fpn_convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_conv.bias - torch.Size([256]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_cls.bias - torch.Size([3]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 rpn_head.rpn_reg.bias - torch.Size([12]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.fc_cls.weight - torch.Size([81, 1024]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.fc_cls.bias - torch.Size([81]): NormalInit: mean=0, std=0.01, bias=0 roi_head.bbox_head.fc_reg.weight - torch.Size([320, 1024]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.fc_reg.bias - torch.Size([320]): NormalInit: mean=0, std=0.001, bias=0 roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.shared_fcs.1.weight - torch.Size([1024, 1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.bbox_head.shared_fcs.1.bias - torch.Size([1024]): XavierInit: gain=1, distribution=uniform, bias=0 roi_head.mask_head.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule roi_head.mask_head.convs.0.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN roi_head.mask_head.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule roi_head.mask_head.convs.1.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN roi_head.mask_head.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule roi_head.mask_head.convs.2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN roi_head.mask_head.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule roi_head.mask_head.convs.3.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of MaskRCNN roi_head.mask_head.upsample.weight - torch.Size([256, 256, 2, 2]): Initialized by user-defined `init_weights` in FCNMaskHead roi_head.mask_head.upsample.bias - torch.Size([256]): Initialized by user-defined `init_weights` in FCNMaskHead roi_head.mask_head.conv_logits.weight - torch.Size([80, 256, 1, 1]): Initialized by user-defined `init_weights` in FCNMaskHead roi_head.mask_head.conv_logits.bias - torch.Size([80]): Initialized by user-defined `init_weights` in FCNMaskHead 2024/01/13 12:02:00 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2024/01/13 12:02:00 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2024/01/13 12:02:00 - mmengine - INFO - Checkpoints will be saved to /userhome/liuyue/newcodeversion/Visualize/detection/work_dirs/mask_rcnn_swin_fpn_coco_base. 2024/01/13 12:03:16 - mmengine - INFO - Epoch(train) [1][ 50/7330] base_lr: 5.0000e-06 lr: 5.0000e-06 eta: 1 day, 12:53:09 time: 1.5105 data_time: 0.1807 memory: 13953 loss: 4.5211 loss_rpn_cls: 0.6682 loss_rpn_bbox: 0.0947 loss_cls: 2.7860 acc: 98.6328 loss_bbox: 0.0108 loss_mask: 0.9615 2024/01/13 12:04:15 - mmengine - INFO - Epoch(train) [1][ 100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 1 day, 8:49:38 time: 1.1796 data_time: 0.0551 memory: 13953 loss: 1.9243 loss_rpn_cls: 0.4748 loss_rpn_bbox: 0.0887 loss_cls: 0.5049 acc: 98.2422 loss_bbox: 0.0940 loss_mask: 0.7621 2024/01/13 12:05:14 - mmengine - INFO - Epoch(train) [1][ 150/7330] base_lr: 1.5000e-05 lr: 1.5000e-05 eta: 1 day, 7:32:34 time: 1.1894 data_time: 0.0552 memory: 13953 loss: 1.6339 loss_rpn_cls: 0.2936 loss_rpn_bbox: 0.0867 loss_cls: 0.3758 acc: 95.5078 loss_bbox: 0.1713 loss_mask: 0.7065 2024/01/13 12:06:13 - mmengine - INFO - Epoch(train) [1][ 200/7330] base_lr: 2.0000e-05 lr: 2.0000e-05 eta: 1 day, 6:49:26 time: 1.1781 data_time: 0.0628 memory: 14421 loss: 1.7394 loss_rpn_cls: 0.2575 loss_rpn_bbox: 0.1087 loss_cls: 0.4520 acc: 91.7969 loss_bbox: 0.2253 loss_mask: 0.6960 2024/01/13 12:07:12 - mmengine - INFO - Epoch(train) [1][ 250/7330] base_lr: 2.5000e-05 lr: 2.5000e-05 eta: 1 day, 6:23:50 time: 1.1805 data_time: 0.0552 memory: 13811 loss: 1.5582 loss_rpn_cls: 0.2002 loss_rpn_bbox: 0.0888 loss_cls: 0.3882 acc: 99.6094 loss_bbox: 0.2034 loss_mask: 0.6776 2024/01/13 12:08:12 - mmengine - INFO - Epoch(train) [1][ 300/7330] base_lr: 3.0000e-05 lr: 3.0000e-05 eta: 1 day, 6:10:41 time: 1.1979 data_time: 0.0549 memory: 14424 loss: 1.5665 loss_rpn_cls: 0.1697 loss_rpn_bbox: 0.1011 loss_cls: 0.3886 acc: 98.4375 loss_bbox: 0.2284 loss_mask: 0.6787 2024/01/13 12:09:11 - mmengine - INFO - Epoch(train) [1][ 350/7330] base_lr: 3.5000e-05 lr: 3.5000e-05 eta: 1 day, 5:55:36 time: 1.1720 data_time: 0.0477 memory: 14118 loss: 1.5313 loss_rpn_cls: 0.1242 loss_rpn_bbox: 0.0905 loss_cls: 0.4307 acc: 98.6328 loss_bbox: 0.2541 loss_mask: 0.6319 2024/01/13 12:10:11 - mmengine - INFO - Epoch(train) [1][ 400/7330] base_lr: 4.0000e-05 lr: 4.0000e-05 eta: 1 day, 5:51:45 time: 1.2142 data_time: 0.0517 memory: 13935 loss: 1.6341 loss_rpn_cls: 0.1189 loss_rpn_bbox: 0.0918 loss_cls: 0.4855 acc: 97.6562 loss_bbox: 0.3261 loss_mask: 0.6118 2024/01/13 12:11:11 - mmengine - INFO - Epoch(train) [1][ 450/7330] base_lr: 4.5000e-05 lr: 4.5000e-05 eta: 1 day, 5:44:12 time: 1.1875 data_time: 0.0502 memory: 13952 loss: 1.3941 loss_rpn_cls: 0.0844 loss_rpn_bbox: 0.0738 loss_cls: 0.4225 acc: 94.5312 loss_bbox: 0.2889 loss_mask: 0.5245 2024/01/13 12:12:10 - mmengine - INFO - Epoch(train) [1][ 500/7330] base_lr: 5.0000e-05 lr: 5.0000e-05 eta: 1 day, 5:38:27 time: 1.1909 data_time: 0.0737 memory: 14502 loss: 1.6132 loss_rpn_cls: 0.1012 loss_rpn_bbox: 0.1073 loss_cls: 0.4871 acc: 96.8750 loss_bbox: 0.3901 loss_mask: 0.5274 2024/01/13 12:13:10 - mmengine - INFO - Epoch(train) [1][ 550/7330] base_lr: 5.5000e-05 lr: 5.5000e-05 eta: 1 day, 5:32:58 time: 1.1864 data_time: 0.0592 memory: 14134 loss: 1.3936 loss_rpn_cls: 0.0813 loss_rpn_bbox: 0.0765 loss_cls: 0.4144 acc: 97.2656 loss_bbox: 0.3648 loss_mask: 0.4565 2024/01/13 12:14:09 - mmengine - INFO - Epoch(train) [1][ 600/7330] base_lr: 6.0000e-05 lr: 6.0000e-05 eta: 1 day, 5:29:31 time: 1.1969 data_time: 0.0525 memory: 13952 loss: 1.4751 loss_rpn_cls: 0.0833 loss_rpn_bbox: 0.0887 loss_cls: 0.4517 acc: 92.7734 loss_bbox: 0.3929 loss_mask: 0.4584 2024/01/13 12:15:09 - mmengine - INFO - Epoch(train) [1][ 650/7330] base_lr: 6.5000e-05 lr: 6.5000e-05 eta: 1 day, 5:26:21 time: 1.1960 data_time: 0.0570 memory: 13952 loss: 1.4128 loss_rpn_cls: 0.0730 loss_rpn_bbox: 0.0851 loss_cls: 0.4200 acc: 93.5547 loss_bbox: 0.3805 loss_mask: 0.4542 2024/01/13 12:16:09 - mmengine - INFO - Epoch(train) [1][ 700/7330] base_lr: 7.0000e-05 lr: 7.0000e-05 eta: 1 day, 5:23:13 time: 1.1934 data_time: 0.0612 memory: 14658 loss: 1.3235 loss_rpn_cls: 0.0726 loss_rpn_bbox: 0.0741 loss_cls: 0.3978 acc: 81.4453 loss_bbox: 0.3558 loss_mask: 0.4232 2024/01/13 12:17:09 - mmengine - INFO - Epoch(train) [1][ 750/7330] base_lr: 7.5000e-05 lr: 7.5000e-05 eta: 1 day, 5:20:59 time: 1.1998 data_time: 0.0575 memory: 14328 loss: 1.4491 loss_rpn_cls: 0.0808 loss_rpn_bbox: 0.1005 loss_cls: 0.4304 acc: 75.9766 loss_bbox: 0.4371 loss_mask: 0.4002 2024/01/13 12:18:09 - mmengine - INFO - Epoch(train) [1][ 800/7330] base_lr: 8.0000e-05 lr: 8.0000e-05 eta: 1 day, 5:19:45 time: 1.2090 data_time: 0.0635 memory: 14472 loss: 1.2023 loss_rpn_cls: 0.0624 loss_rpn_bbox: 0.0731 loss_cls: 0.3416 acc: 89.6484 loss_bbox: 0.3346 loss_mask: 0.3906 2024/01/13 12:19:09 - mmengine - INFO - Epoch(train) [1][ 850/7330] base_lr: 8.5000e-05 lr: 8.5000e-05 eta: 1 day, 5:16:52 time: 1.1895 data_time: 0.0625 memory: 14040 loss: 1.3014 loss_rpn_cls: 0.0813 loss_rpn_bbox: 0.0897 loss_cls: 0.3452 acc: 97.4609 loss_bbox: 0.3756 loss_mask: 0.4096 2024/01/13 12:20:09 - mmengine - INFO - Epoch(train) [1][ 900/7330] base_lr: 9.0000e-05 lr: 9.0000e-05 eta: 1 day, 5:15:04 time: 1.2003 data_time: 0.0495 memory: 14423 loss: 1.2082 loss_rpn_cls: 0.0575 loss_rpn_bbox: 0.0685 loss_cls: 0.3453 acc: 79.6875 loss_bbox: 0.3432 loss_mask: 0.3937 2024/01/13 12:21:09 - mmengine - INFO - Epoch(train) [1][ 950/7330] base_lr: 9.5000e-05 lr: 9.5000e-05 eta: 1 day, 5:13:12 time: 1.1983 data_time: 0.0621 memory: 14424 loss: 1.1847 loss_rpn_cls: 0.0527 loss_rpn_bbox: 0.0751 loss_cls: 0.3067 acc: 81.6406 loss_bbox: 0.3487 loss_mask: 0.4015 2024/01/13 12:22:09 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 12:22:09 - mmengine - INFO - Epoch(train) [1][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:11:41 time: 1.2019 data_time: 0.0576 memory: 14424 loss: 1.2049 loss_rpn_cls: 0.0629 loss_rpn_bbox: 0.0765 loss_cls: 0.3390 acc: 94.3359 loss_bbox: 0.3457 loss_mask: 0.3808 2024/01/13 12:23:08 - mmengine - INFO - Epoch(train) [1][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:08:57 time: 1.1837 data_time: 0.0578 memory: 13769 loss: 1.2655 loss_rpn_cls: 0.0544 loss_rpn_bbox: 0.0773 loss_cls: 0.3520 acc: 92.9688 loss_bbox: 0.4034 loss_mask: 0.3784 2024/01/13 12:24:07 - mmengine - INFO - Epoch(train) [1][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:06:27 time: 1.1846 data_time: 0.0598 memory: 14328 loss: 1.1988 loss_rpn_cls: 0.0545 loss_rpn_bbox: 0.0772 loss_cls: 0.3258 acc: 98.6328 loss_bbox: 0.3842 loss_mask: 0.3571 2024/01/13 12:25:07 - mmengine - INFO - Epoch(train) [1][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:04:59 time: 1.1991 data_time: 0.0636 memory: 13952 loss: 1.2464 loss_rpn_cls: 0.0685 loss_rpn_bbox: 0.0919 loss_cls: 0.3523 acc: 94.5312 loss_bbox: 0.3866 loss_mask: 0.3472 2024/01/13 12:26:07 - mmengine - INFO - Epoch(train) [1][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:03:13 time: 1.1934 data_time: 0.0597 memory: 14472 loss: 1.1739 loss_rpn_cls: 0.0704 loss_rpn_bbox: 0.0809 loss_cls: 0.3145 acc: 91.9922 loss_bbox: 0.3565 loss_mask: 0.3516 2024/01/13 12:27:06 - mmengine - INFO - Epoch(train) [1][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:01:16 time: 1.1893 data_time: 0.0532 memory: 14581 loss: 1.0802 loss_rpn_cls: 0.0446 loss_rpn_bbox: 0.0707 loss_cls: 0.2953 acc: 85.5469 loss_bbox: 0.3292 loss_mask: 0.3404 2024/01/13 12:28:06 - mmengine - INFO - Epoch(train) [1][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:59:23 time: 1.1890 data_time: 0.0658 memory: 14041 loss: 1.0878 loss_rpn_cls: 0.0566 loss_rpn_bbox: 0.0726 loss_cls: 0.2948 acc: 98.0469 loss_bbox: 0.3269 loss_mask: 0.3370 2024/01/13 12:29:05 - mmengine - INFO - Epoch(train) [1][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:57:47 time: 1.1932 data_time: 0.0556 memory: 14950 loss: 1.1094 loss_rpn_cls: 0.0495 loss_rpn_bbox: 0.0678 loss_cls: 0.3128 acc: 81.6406 loss_bbox: 0.3503 loss_mask: 0.3289 2024/01/13 12:30:05 - mmengine - INFO - Epoch(train) [1][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:56:33 time: 1.1993 data_time: 0.0602 memory: 14954 loss: 0.9565 loss_rpn_cls: 0.0468 loss_rpn_bbox: 0.0559 loss_cls: 0.2668 acc: 97.0703 loss_bbox: 0.2759 loss_mask: 0.3111 2024/01/13 12:31:05 - mmengine - INFO - Epoch(train) [1][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:54:42 time: 1.1867 data_time: 0.0638 memory: 14847 loss: 1.1542 loss_rpn_cls: 0.0578 loss_rpn_bbox: 0.0758 loss_cls: 0.3286 acc: 93.7500 loss_bbox: 0.3632 loss_mask: 0.3288 2024/01/13 12:32:04 - mmengine - INFO - Epoch(train) [1][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:52:33 time: 1.1794 data_time: 0.0692 memory: 13952 loss: 1.2522 loss_rpn_cls: 0.0582 loss_rpn_bbox: 0.0905 loss_cls: 0.3636 acc: 77.3438 loss_bbox: 0.3792 loss_mask: 0.3607 2024/01/13 12:33:03 - mmengine - INFO - Epoch(train) [1][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:51:14 time: 1.1957 data_time: 0.0513 memory: 14564 loss: 1.0271 loss_rpn_cls: 0.0417 loss_rpn_bbox: 0.0606 loss_cls: 0.2691 acc: 92.5781 loss_bbox: 0.3257 loss_mask: 0.3300 2024/01/13 12:34:03 - mmengine - INFO - Epoch(train) [1][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:49:50 time: 1.1931 data_time: 0.0554 memory: 14472 loss: 1.1015 loss_rpn_cls: 0.0586 loss_rpn_bbox: 0.0758 loss_cls: 0.2983 acc: 91.0156 loss_bbox: 0.3266 loss_mask: 0.3422 2024/01/13 12:35:03 - mmengine - INFO - Epoch(train) [1][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:48:29 time: 1.1939 data_time: 0.0582 memory: 14954 loss: 1.0938 loss_rpn_cls: 0.0566 loss_rpn_bbox: 0.0791 loss_cls: 0.2889 acc: 97.2656 loss_bbox: 0.3498 loss_mask: 0.3195 2024/01/13 12:36:03 - mmengine - INFO - Epoch(train) [1][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:47:09 time: 1.1938 data_time: 0.0678 memory: 14327 loss: 1.1237 loss_rpn_cls: 0.0457 loss_rpn_bbox: 0.0767 loss_cls: 0.3131 acc: 83.0078 loss_bbox: 0.3704 loss_mask: 0.3178 2024/01/13 12:37:02 - mmengine - INFO - Epoch(train) [1][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:45:55 time: 1.1958 data_time: 0.0508 memory: 14424 loss: 1.0009 loss_rpn_cls: 0.0449 loss_rpn_bbox: 0.0627 loss_cls: 0.2742 acc: 82.8125 loss_bbox: 0.3047 loss_mask: 0.3143 2024/01/13 12:38:02 - mmengine - INFO - Epoch(train) [1][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:45:00 time: 1.2030 data_time: 0.0558 memory: 14041 loss: 0.9860 loss_rpn_cls: 0.0407 loss_rpn_bbox: 0.0650 loss_cls: 0.2722 acc: 92.3828 loss_bbox: 0.3069 loss_mask: 0.3011 2024/01/13 12:39:02 - mmengine - INFO - Epoch(train) [1][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:43:49 time: 1.1969 data_time: 0.0542 memory: 13952 loss: 1.1136 loss_rpn_cls: 0.0472 loss_rpn_bbox: 0.0745 loss_cls: 0.3262 acc: 88.2812 loss_bbox: 0.3540 loss_mask: 0.3118 2024/01/13 12:40:02 - mmengine - INFO - Epoch(train) [1][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:42:11 time: 1.1841 data_time: 0.0620 memory: 14029 loss: 1.0890 loss_rpn_cls: 0.0544 loss_rpn_bbox: 0.0743 loss_cls: 0.2986 acc: 87.6953 loss_bbox: 0.3397 loss_mask: 0.3220 2024/01/13 12:41:01 - mmengine - INFO - Epoch(train) [1][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:40:29 time: 1.1819 data_time: 0.0529 memory: 14478 loss: 0.9900 loss_rpn_cls: 0.0347 loss_rpn_bbox: 0.0674 loss_cls: 0.2603 acc: 81.8359 loss_bbox: 0.3146 loss_mask: 0.3131 2024/01/13 12:42:01 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 12:42:01 - mmengine - INFO - Epoch(train) [1][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:40:02 time: 1.2153 data_time: 0.0586 memory: 14705 loss: 1.0314 loss_rpn_cls: 0.0438 loss_rpn_bbox: 0.0671 loss_cls: 0.2882 acc: 93.9453 loss_bbox: 0.3246 loss_mask: 0.3076 2024/01/13 12:43:01 - mmengine - INFO - Epoch(train) [1][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:38:51 time: 1.1955 data_time: 0.0677 memory: 14628 loss: 1.0822 loss_rpn_cls: 0.0650 loss_rpn_bbox: 0.0686 loss_cls: 0.2832 acc: 82.0312 loss_bbox: 0.3535 loss_mask: 0.3119 2024/01/13 12:44:01 - mmengine - INFO - Epoch(train) [1][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:37:51 time: 1.2004 data_time: 0.0551 memory: 14658 loss: 1.0370 loss_rpn_cls: 0.0561 loss_rpn_bbox: 0.0634 loss_cls: 0.2926 acc: 93.9453 loss_bbox: 0.3389 loss_mask: 0.2859 2024/01/13 12:45:01 - mmengine - INFO - Epoch(train) [1][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:36:42 time: 1.1961 data_time: 0.0565 memory: 14265 loss: 1.0471 loss_rpn_cls: 0.0522 loss_rpn_bbox: 0.0801 loss_cls: 0.2862 acc: 98.8281 loss_bbox: 0.3387 loss_mask: 0.2898 2024/01/13 12:46:00 - mmengine - INFO - Epoch(train) [1][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:35:05 time: 1.1811 data_time: 0.0621 memory: 14368 loss: 1.0424 loss_rpn_cls: 0.0436 loss_rpn_bbox: 0.0679 loss_cls: 0.2970 acc: 94.7266 loss_bbox: 0.3340 loss_mask: 0.2998 2024/01/13 12:47:00 - mmengine - INFO - Epoch(train) [1][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:33:49 time: 1.1916 data_time: 0.0625 memory: 14539 loss: 1.0856 loss_rpn_cls: 0.0441 loss_rpn_bbox: 0.0788 loss_cls: 0.3124 acc: 89.8438 loss_bbox: 0.3499 loss_mask: 0.3002 2024/01/13 12:47:59 - mmengine - INFO - Epoch(train) [1][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:32:20 time: 1.1844 data_time: 0.0476 memory: 13952 loss: 0.9196 loss_rpn_cls: 0.0311 loss_rpn_bbox: 0.0606 loss_cls: 0.2551 acc: 96.2891 loss_bbox: 0.2972 loss_mask: 0.2756 2024/01/13 12:48:58 - mmengine - INFO - Epoch(train) [1][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:30:58 time: 1.1871 data_time: 0.0494 memory: 14532 loss: 0.9096 loss_rpn_cls: 0.0357 loss_rpn_bbox: 0.0535 loss_cls: 0.2479 acc: 83.2031 loss_bbox: 0.2805 loss_mask: 0.2921 2024/01/13 12:49:59 - mmengine - INFO - Epoch(train) [1][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:30:13 time: 1.2075 data_time: 0.0523 memory: 14469 loss: 0.9756 loss_rpn_cls: 0.0454 loss_rpn_bbox: 0.0594 loss_cls: 0.2580 acc: 95.5078 loss_bbox: 0.2990 loss_mask: 0.3139 2024/01/13 12:50:58 - mmengine - INFO - Epoch(train) [1][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:28:39 time: 1.1797 data_time: 0.0554 memory: 14472 loss: 0.9746 loss_rpn_cls: 0.0453 loss_rpn_bbox: 0.0570 loss_cls: 0.2567 acc: 81.0547 loss_bbox: 0.3005 loss_mask: 0.3151 2024/01/13 12:51:57 - mmengine - INFO - Epoch(train) [1][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:27:16 time: 1.1856 data_time: 0.0490 memory: 13952 loss: 0.8776 loss_rpn_cls: 0.0408 loss_rpn_bbox: 0.0524 loss_cls: 0.2412 acc: 85.3516 loss_bbox: 0.2643 loss_mask: 0.2789 2024/01/13 12:52:57 - mmengine - INFO - Epoch(train) [1][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:26:26 time: 1.2043 data_time: 0.0510 memory: 14472 loss: 0.9720 loss_rpn_cls: 0.0426 loss_rpn_bbox: 0.0665 loss_cls: 0.2616 acc: 92.9688 loss_bbox: 0.3177 loss_mask: 0.2835 2024/01/13 12:53:56 - mmengine - INFO - Epoch(train) [1][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:24:41 time: 1.1715 data_time: 0.0474 memory: 14469 loss: 1.0362 loss_rpn_cls: 0.0369 loss_rpn_bbox: 0.0526 loss_cls: 0.3108 acc: 92.9688 loss_bbox: 0.3521 loss_mask: 0.2838 2024/01/13 12:54:56 - mmengine - INFO - Epoch(train) [1][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:23:48 time: 1.2024 data_time: 0.0638 memory: 14252 loss: 1.0582 loss_rpn_cls: 0.0479 loss_rpn_bbox: 0.0621 loss_cls: 0.3275 acc: 75.1953 loss_bbox: 0.3328 loss_mask: 0.2879 2024/01/13 12:55:56 - mmengine - INFO - Epoch(train) [1][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:23:00 time: 1.2061 data_time: 0.0614 memory: 14328 loss: 0.9288 loss_rpn_cls: 0.0423 loss_rpn_bbox: 0.0563 loss_cls: 0.2491 acc: 86.9141 loss_bbox: 0.3016 loss_mask: 0.2795 2024/01/13 12:56:56 - mmengine - INFO - Epoch(train) [1][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:22:12 time: 1.2061 data_time: 0.0683 memory: 14311 loss: 1.0342 loss_rpn_cls: 0.0674 loss_rpn_bbox: 0.0757 loss_cls: 0.2705 acc: 98.4375 loss_bbox: 0.3231 loss_mask: 0.2976 2024/01/13 12:57:57 - mmengine - INFO - Epoch(train) [1][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:21:22 time: 1.2048 data_time: 0.0603 memory: 14469 loss: 0.9429 loss_rpn_cls: 0.0367 loss_rpn_bbox: 0.0544 loss_cls: 0.2398 acc: 95.8984 loss_bbox: 0.3095 loss_mask: 0.3024 2024/01/13 12:58:57 - mmengine - INFO - Epoch(train) [1][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:20:27 time: 1.2025 data_time: 0.0617 memory: 14951 loss: 1.0499 loss_rpn_cls: 0.0361 loss_rpn_bbox: 0.0723 loss_cls: 0.2793 acc: 84.1797 loss_bbox: 0.3360 loss_mask: 0.3262 2024/01/13 12:59:56 - mmengine - INFO - Epoch(train) [1][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:19:15 time: 1.1904 data_time: 0.0498 memory: 14348 loss: 1.0346 loss_rpn_cls: 0.0498 loss_rpn_bbox: 0.0635 loss_cls: 0.2759 acc: 93.1641 loss_bbox: 0.3347 loss_mask: 0.3107 2024/01/13 13:00:56 - mmengine - INFO - Epoch(train) [1][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:18:11 time: 1.1954 data_time: 0.0543 memory: 14954 loss: 0.9966 loss_rpn_cls: 0.0397 loss_rpn_bbox: 0.0697 loss_cls: 0.2650 acc: 96.4844 loss_bbox: 0.2950 loss_mask: 0.3271 2024/01/13 13:01:56 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 13:01:56 - mmengine - INFO - Epoch(train) [1][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:17:19 time: 1.2046 data_time: 0.0499 memory: 14744 loss: 0.8977 loss_rpn_cls: 0.0426 loss_rpn_bbox: 0.0631 loss_cls: 0.2142 acc: 98.4375 loss_bbox: 0.2792 loss_mask: 0.2987 2024/01/13 13:02:56 - mmengine - INFO - Epoch(train) [1][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:16:07 time: 1.1901 data_time: 0.0541 memory: 14472 loss: 0.8939 loss_rpn_cls: 0.0370 loss_rpn_bbox: 0.0537 loss_cls: 0.2393 acc: 97.0703 loss_bbox: 0.2895 loss_mask: 0.2744 2024/01/13 13:03:55 - mmengine - INFO - Epoch(train) [1][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:14:45 time: 1.1821 data_time: 0.0616 memory: 14537 loss: 0.9762 loss_rpn_cls: 0.0414 loss_rpn_bbox: 0.0664 loss_cls: 0.2850 acc: 90.0391 loss_bbox: 0.3151 loss_mask: 0.2684 2024/01/13 13:04:56 - mmengine - INFO - Epoch(train) [1][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:14:05 time: 1.2131 data_time: 0.0649 memory: 14041 loss: 1.0840 loss_rpn_cls: 0.0490 loss_rpn_bbox: 0.0918 loss_cls: 0.2903 acc: 80.8594 loss_bbox: 0.3519 loss_mask: 0.3011 2024/01/13 13:05:55 - mmengine - INFO - Epoch(train) [1][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:12:56 time: 1.1913 data_time: 0.0527 memory: 13771 loss: 0.8810 loss_rpn_cls: 0.0351 loss_rpn_bbox: 0.0489 loss_cls: 0.2374 acc: 92.7734 loss_bbox: 0.2499 loss_mask: 0.3097 2024/01/13 13:06:55 - mmengine - INFO - Epoch(train) [1][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:11:41 time: 1.1872 data_time: 0.0624 memory: 14005 loss: 0.9088 loss_rpn_cls: 0.0437 loss_rpn_bbox: 0.0586 loss_cls: 0.2529 acc: 73.6328 loss_bbox: 0.2991 loss_mask: 0.2545 2024/01/13 13:07:54 - mmengine - INFO - Epoch(train) [1][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:10:34 time: 1.1926 data_time: 0.0584 memory: 14954 loss: 1.0310 loss_rpn_cls: 0.0501 loss_rpn_bbox: 0.0695 loss_cls: 0.3033 acc: 97.2656 loss_bbox: 0.3183 loss_mask: 0.2899 2024/01/13 13:08:54 - mmengine - INFO - Epoch(train) [1][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:09:41 time: 1.2036 data_time: 0.0553 memory: 14658 loss: 0.8960 loss_rpn_cls: 0.0439 loss_rpn_bbox: 0.0623 loss_cls: 0.2536 acc: 92.1875 loss_bbox: 0.2850 loss_mask: 0.2512 2024/01/13 13:09:54 - mmengine - INFO - Epoch(train) [1][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:08:30 time: 1.1891 data_time: 0.0508 memory: 14006 loss: 0.8679 loss_rpn_cls: 0.0382 loss_rpn_bbox: 0.0441 loss_cls: 0.2305 acc: 96.4844 loss_bbox: 0.2808 loss_mask: 0.2743 2024/01/13 13:10:54 - mmengine - INFO - Epoch(train) [1][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:07:43 time: 1.2090 data_time: 0.0532 memory: 14472 loss: 0.9094 loss_rpn_cls: 0.0345 loss_rpn_bbox: 0.0616 loss_cls: 0.2364 acc: 88.4766 loss_bbox: 0.3172 loss_mask: 0.2597 2024/01/13 13:11:54 - mmengine - INFO - Epoch(train) [1][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:06:33 time: 1.1897 data_time: 0.0540 memory: 14750 loss: 0.9385 loss_rpn_cls: 0.0343 loss_rpn_bbox: 0.0507 loss_cls: 0.2510 acc: 91.0156 loss_bbox: 0.3099 loss_mask: 0.2926 2024/01/13 13:12:53 - mmengine - INFO - Epoch(train) [1][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:05:16 time: 1.1839 data_time: 0.0513 memory: 14176 loss: 0.8602 loss_rpn_cls: 0.0354 loss_rpn_bbox: 0.0501 loss_cls: 0.2249 acc: 97.6562 loss_bbox: 0.2792 loss_mask: 0.2706 2024/01/13 13:13:53 - mmengine - INFO - Epoch(train) [1][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:04:26 time: 1.2061 data_time: 0.0608 memory: 14472 loss: 0.9737 loss_rpn_cls: 0.0516 loss_rpn_bbox: 0.0697 loss_cls: 0.2564 acc: 88.2812 loss_bbox: 0.3036 loss_mask: 0.2924 2024/01/13 13:14:53 - mmengine - INFO - Epoch(train) [1][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:03:35 time: 1.2059 data_time: 0.0552 memory: 14228 loss: 0.9989 loss_rpn_cls: 0.0437 loss_rpn_bbox: 0.0783 loss_cls: 0.2623 acc: 92.5781 loss_bbox: 0.3312 loss_mask: 0.2834 2024/01/13 13:15:52 - mmengine - INFO - Epoch(train) [1][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:02:14 time: 1.1798 data_time: 0.0519 memory: 14042 loss: 0.8895 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0569 loss_cls: 0.2430 acc: 95.1172 loss_bbox: 0.2912 loss_mask: 0.2661 2024/01/13 13:16:53 - mmengine - INFO - Epoch(train) [1][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:01:28 time: 1.2099 data_time: 0.0479 memory: 14424 loss: 0.8425 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0444 loss_cls: 0.2248 acc: 93.7500 loss_bbox: 0.2801 loss_mask: 0.2618 2024/01/13 13:17:53 - mmengine - INFO - Epoch(train) [1][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:00:31 time: 1.2009 data_time: 0.0670 memory: 14472 loss: 0.9695 loss_rpn_cls: 0.0412 loss_rpn_bbox: 0.0598 loss_cls: 0.2783 acc: 99.8047 loss_bbox: 0.3191 loss_mask: 0.2711 2024/01/13 13:18:53 - mmengine - INFO - Epoch(train) [1][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:59:24 time: 1.1909 data_time: 0.0537 memory: 14951 loss: 0.9472 loss_rpn_cls: 0.0467 loss_rpn_bbox: 0.0588 loss_cls: 0.2645 acc: 97.8516 loss_bbox: 0.3087 loss_mask: 0.2685 2024/01/13 13:19:52 - mmengine - INFO - Epoch(train) [1][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:58:24 time: 1.1982 data_time: 0.0586 memory: 14469 loss: 1.0298 loss_rpn_cls: 0.0393 loss_rpn_bbox: 0.0699 loss_cls: 0.2937 acc: 87.5000 loss_bbox: 0.3542 loss_mask: 0.2726 2024/01/13 13:20:52 - mmengine - INFO - Epoch(train) [1][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:57:16 time: 1.1909 data_time: 0.0522 memory: 14832 loss: 0.8292 loss_rpn_cls: 0.0415 loss_rpn_bbox: 0.0555 loss_cls: 0.2279 acc: 99.6094 loss_bbox: 0.2748 loss_mask: 0.2294 2024/01/13 13:21:53 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 13:21:53 - mmengine - INFO - Epoch(train) [1][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:56:36 time: 1.2163 data_time: 0.0572 memory: 14423 loss: 0.9542 loss_rpn_cls: 0.0379 loss_rpn_bbox: 0.0571 loss_cls: 0.2799 acc: 82.8125 loss_bbox: 0.3132 loss_mask: 0.2661 2024/01/13 13:22:53 - mmengine - INFO - Epoch(train) [1][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:55:39 time: 1.2015 data_time: 0.0523 memory: 14612 loss: 0.8034 loss_rpn_cls: 0.0330 loss_rpn_bbox: 0.0510 loss_cls: 0.2212 acc: 99.6094 loss_bbox: 0.2536 loss_mask: 0.2446 2024/01/13 13:23:53 - mmengine - INFO - Epoch(train) [1][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:54:51 time: 1.2095 data_time: 0.0534 memory: 14472 loss: 0.8554 loss_rpn_cls: 0.0352 loss_rpn_bbox: 0.0557 loss_cls: 0.2297 acc: 90.6250 loss_bbox: 0.2693 loss_mask: 0.2654 2024/01/13 13:24:53 - mmengine - INFO - Epoch(train) [1][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:53:39 time: 1.1860 data_time: 0.0577 memory: 13952 loss: 0.9226 loss_rpn_cls: 0.0553 loss_rpn_bbox: 0.0728 loss_cls: 0.2371 acc: 90.2344 loss_bbox: 0.2767 loss_mask: 0.2807 2024/01/13 13:25:53 - mmengine - INFO - Epoch(train) [1][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:52:40 time: 1.1990 data_time: 0.0631 memory: 14925 loss: 1.0050 loss_rpn_cls: 0.0467 loss_rpn_bbox: 0.0674 loss_cls: 0.2754 acc: 95.8984 loss_bbox: 0.3339 loss_mask: 0.2817 2024/01/13 13:26:52 - mmengine - INFO - Epoch(train) [1][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:51:27 time: 1.1858 data_time: 0.0558 memory: 14826 loss: 0.9203 loss_rpn_cls: 0.0472 loss_rpn_bbox: 0.0593 loss_cls: 0.2559 acc: 94.3359 loss_bbox: 0.2947 loss_mask: 0.2631 2024/01/13 13:27:55 - mmengine - INFO - Epoch(train) [1][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:51:27 time: 1.2595 data_time: 0.0587 memory: 14386 loss: 0.8569 loss_rpn_cls: 0.0322 loss_rpn_bbox: 0.0490 loss_cls: 0.2348 acc: 85.9375 loss_bbox: 0.2805 loss_mask: 0.2603 2024/01/13 13:28:55 - mmengine - INFO - Epoch(train) [1][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:50:31 time: 1.2025 data_time: 0.0571 memory: 14424 loss: 0.9233 loss_rpn_cls: 0.0376 loss_rpn_bbox: 0.0730 loss_cls: 0.2458 acc: 98.0469 loss_bbox: 0.3129 loss_mask: 0.2540 2024/01/13 13:29:55 - mmengine - INFO - Epoch(train) [1][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:49:26 time: 1.1933 data_time: 0.0609 memory: 14446 loss: 0.9785 loss_rpn_cls: 0.0364 loss_rpn_bbox: 0.0574 loss_cls: 0.2732 acc: 95.7031 loss_bbox: 0.3359 loss_mask: 0.2757 2024/01/13 13:30:54 - mmengine - INFO - Epoch(train) [1][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:48:07 time: 1.1792 data_time: 0.0509 memory: 14056 loss: 0.8347 loss_rpn_cls: 0.0380 loss_rpn_bbox: 0.0445 loss_cls: 0.2370 acc: 90.8203 loss_bbox: 0.2706 loss_mask: 0.2445 2024/01/13 13:31:54 - mmengine - INFO - Epoch(train) [1][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:47:21 time: 1.2136 data_time: 0.0553 memory: 14954 loss: 0.8710 loss_rpn_cls: 0.0414 loss_rpn_bbox: 0.0511 loss_cls: 0.2382 acc: 94.1406 loss_bbox: 0.2710 loss_mask: 0.2694 2024/01/13 13:32:55 - mmengine - INFO - Epoch(train) [1][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:46:28 time: 1.2060 data_time: 0.0558 memory: 14954 loss: 0.8935 loss_rpn_cls: 0.0460 loss_rpn_bbox: 0.0601 loss_cls: 0.2474 acc: 94.1406 loss_bbox: 0.2709 loss_mask: 0.2691 2024/01/13 13:33:55 - mmengine - INFO - Epoch(train) [1][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:45:30 time: 1.2010 data_time: 0.0581 memory: 14954 loss: 0.8347 loss_rpn_cls: 0.0278 loss_rpn_bbox: 0.0422 loss_cls: 0.2261 acc: 86.1328 loss_bbox: 0.2816 loss_mask: 0.2570 2024/01/13 13:34:55 - mmengine - INFO - Epoch(train) [1][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:44:29 time: 1.1977 data_time: 0.0707 memory: 13952 loss: 0.9080 loss_rpn_cls: 0.0374 loss_rpn_bbox: 0.0576 loss_cls: 0.2427 acc: 98.6328 loss_bbox: 0.2960 loss_mask: 0.2744 2024/01/13 13:35:54 - mmengine - INFO - Epoch(train) [1][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:43:19 time: 1.1875 data_time: 0.0493 memory: 14469 loss: 0.7643 loss_rpn_cls: 0.0372 loss_rpn_bbox: 0.0446 loss_cls: 0.1975 acc: 91.7969 loss_bbox: 0.2368 loss_mask: 0.2481 2024/01/13 13:36:54 - mmengine - INFO - Epoch(train) [1][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:42:14 time: 1.1925 data_time: 0.0544 memory: 14324 loss: 0.9173 loss_rpn_cls: 0.0425 loss_rpn_bbox: 0.0492 loss_cls: 0.2561 acc: 92.5781 loss_bbox: 0.2858 loss_mask: 0.2838 2024/01/13 13:37:55 - mmengine - INFO - Epoch(train) [1][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:41:32 time: 1.2190 data_time: 0.0629 memory: 14585 loss: 0.9958 loss_rpn_cls: 0.0496 loss_rpn_bbox: 0.0702 loss_cls: 0.2794 acc: 90.2344 loss_bbox: 0.3414 loss_mask: 0.2552 2024/01/13 13:38:54 - mmengine - INFO - Epoch(train) [1][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:40:25 time: 1.1907 data_time: 0.0548 memory: 14469 loss: 0.8747 loss_rpn_cls: 0.0317 loss_rpn_bbox: 0.0437 loss_cls: 0.2366 acc: 90.6250 loss_bbox: 0.2896 loss_mask: 0.2731 2024/01/13 13:39:54 - mmengine - INFO - Epoch(train) [1][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:39:30 time: 1.2051 data_time: 0.0688 memory: 14472 loss: 1.0079 loss_rpn_cls: 0.0590 loss_rpn_bbox: 0.0641 loss_cls: 0.2746 acc: 85.1562 loss_bbox: 0.3354 loss_mask: 0.2748 2024/01/13 13:40:54 - mmengine - INFO - Epoch(train) [1][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:38:30 time: 1.1976 data_time: 0.0509 memory: 14514 loss: 0.8172 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0502 loss_cls: 0.2326 acc: 98.4375 loss_bbox: 0.2683 loss_mask: 0.2372 2024/01/13 13:41:53 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 13:41:53 - mmengine - INFO - Epoch(train) [1][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:37:12 time: 1.1780 data_time: 0.0532 memory: 14424 loss: 0.8400 loss_rpn_cls: 0.0344 loss_rpn_bbox: 0.0521 loss_cls: 0.2192 acc: 96.2891 loss_bbox: 0.2797 loss_mask: 0.2546 2024/01/13 13:42:52 - mmengine - INFO - Epoch(train) [1][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:35:59 time: 1.1827 data_time: 0.0633 memory: 14744 loss: 0.8747 loss_rpn_cls: 0.0400 loss_rpn_bbox: 0.0462 loss_cls: 0.2497 acc: 94.7266 loss_bbox: 0.2825 loss_mask: 0.2563 2024/01/13 13:43:52 - mmengine - INFO - Epoch(train) [1][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:34:57 time: 1.1951 data_time: 0.0569 memory: 14741 loss: 0.9089 loss_rpn_cls: 0.0334 loss_rpn_bbox: 0.0536 loss_cls: 0.2494 acc: 96.6797 loss_bbox: 0.2959 loss_mask: 0.2766 2024/01/13 13:44:52 - mmengine - INFO - Epoch(train) [1][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:33:56 time: 1.1974 data_time: 0.0597 memory: 14426 loss: 0.9603 loss_rpn_cls: 0.0448 loss_rpn_bbox: 0.0558 loss_cls: 0.2691 acc: 95.5078 loss_bbox: 0.3011 loss_mask: 0.2894 2024/01/13 13:45:52 - mmengine - INFO - Epoch(train) [1][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:33:02 time: 1.2061 data_time: 0.0546 memory: 14954 loss: 0.7625 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0447 loss_cls: 0.1995 acc: 87.3047 loss_bbox: 0.2498 loss_mask: 0.2401 2024/01/13 13:46:53 - mmengine - INFO - Epoch(train) [1][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:32:15 time: 1.2143 data_time: 0.0598 memory: 13811 loss: 0.8826 loss_rpn_cls: 0.0308 loss_rpn_bbox: 0.0618 loss_cls: 0.2384 acc: 99.0234 loss_bbox: 0.2887 loss_mask: 0.2628 2024/01/13 13:47:52 - mmengine - INFO - Epoch(train) [1][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:31:02 time: 1.1822 data_time: 0.0603 memory: 14423 loss: 0.8252 loss_rpn_cls: 0.0347 loss_rpn_bbox: 0.0558 loss_cls: 0.2381 acc: 78.3203 loss_bbox: 0.2598 loss_mask: 0.2367 2024/01/13 13:48:51 - mmengine - INFO - Epoch(train) [1][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:29:54 time: 1.1879 data_time: 0.0559 memory: 14658 loss: 0.9193 loss_rpn_cls: 0.0492 loss_rpn_bbox: 0.0549 loss_cls: 0.2523 acc: 99.2188 loss_bbox: 0.3074 loss_mask: 0.2555 2024/01/13 13:49:51 - mmengine - INFO - Epoch(train) [1][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:28:43 time: 1.1834 data_time: 0.0565 memory: 13771 loss: 0.9434 loss_rpn_cls: 0.0357 loss_rpn_bbox: 0.0625 loss_cls: 0.2602 acc: 90.6250 loss_bbox: 0.2973 loss_mask: 0.2878 2024/01/13 13:50:50 - mmengine - INFO - Epoch(train) [1][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:27:34 time: 1.1859 data_time: 0.0631 memory: 14423 loss: 0.9288 loss_rpn_cls: 0.0348 loss_rpn_bbox: 0.0530 loss_cls: 0.2536 acc: 79.1016 loss_bbox: 0.3188 loss_mask: 0.2686 2024/01/13 13:51:49 - mmengine - INFO - Epoch(train) [1][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:26:23 time: 1.1842 data_time: 0.0506 memory: 14339 loss: 0.8391 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0479 loss_cls: 0.2219 acc: 93.1641 loss_bbox: 0.2715 loss_mask: 0.2726 2024/01/13 13:52:48 - mmengine - INFO - Epoch(train) [1][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:25:14 time: 1.1850 data_time: 0.0573 memory: 14954 loss: 0.9272 loss_rpn_cls: 0.0353 loss_rpn_bbox: 0.0614 loss_cls: 0.2553 acc: 95.5078 loss_bbox: 0.3135 loss_mask: 0.2618 2024/01/13 13:53:47 - mmengine - INFO - Epoch(train) [1][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:24:02 time: 1.1812 data_time: 0.0426 memory: 13771 loss: 0.8329 loss_rpn_cls: 0.0320 loss_rpn_bbox: 0.0424 loss_cls: 0.2379 acc: 97.2656 loss_bbox: 0.2607 loss_mask: 0.2599 2024/01/13 13:54:47 - mmengine - INFO - Epoch(train) [1][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:22:59 time: 1.1935 data_time: 0.0556 memory: 14423 loss: 0.7712 loss_rpn_cls: 0.0310 loss_rpn_bbox: 0.0485 loss_cls: 0.2248 acc: 84.7656 loss_bbox: 0.2396 loss_mask: 0.2273 2024/01/13 13:55:47 - mmengine - INFO - Epoch(train) [1][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:21:59 time: 1.1980 data_time: 0.0601 memory: 14932 loss: 0.8554 loss_rpn_cls: 0.0378 loss_rpn_bbox: 0.0497 loss_cls: 0.2489 acc: 86.3281 loss_bbox: 0.2705 loss_mask: 0.2486 2024/01/13 13:56:46 - mmengine - INFO - Epoch(train) [1][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:20:53 time: 1.1892 data_time: 0.0558 memory: 13994 loss: 0.9062 loss_rpn_cls: 0.0549 loss_rpn_bbox: 0.0629 loss_cls: 0.2411 acc: 88.0859 loss_bbox: 0.2980 loss_mask: 0.2493 2024/01/13 13:57:45 - mmengine - INFO - Epoch(train) [1][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:19:40 time: 1.1790 data_time: 0.0679 memory: 14197 loss: 0.9946 loss_rpn_cls: 0.0482 loss_rpn_bbox: 0.0641 loss_cls: 0.2572 acc: 88.0859 loss_bbox: 0.3275 loss_mask: 0.2976 2024/01/13 13:58:45 - mmengine - INFO - Epoch(train) [1][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:18:43 time: 1.2014 data_time: 0.0661 memory: 14716 loss: 1.0870 loss_rpn_cls: 0.0489 loss_rpn_bbox: 0.0721 loss_cls: 0.3054 acc: 85.9375 loss_bbox: 0.3743 loss_mask: 0.2863 2024/01/13 13:59:45 - mmengine - INFO - Epoch(train) [1][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:17:41 time: 1.1939 data_time: 0.0591 memory: 14733 loss: 0.8737 loss_rpn_cls: 0.0329 loss_rpn_bbox: 0.0515 loss_cls: 0.2378 acc: 96.4844 loss_bbox: 0.3001 loss_mask: 0.2514 2024/01/13 14:00:45 - mmengine - INFO - Epoch(train) [1][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:16:44 time: 1.2022 data_time: 0.0645 memory: 14757 loss: 0.9378 loss_rpn_cls: 0.0387 loss_rpn_bbox: 0.0614 loss_cls: 0.2479 acc: 86.7188 loss_bbox: 0.3281 loss_mask: 0.2617 2024/01/13 14:01:46 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 14:01:46 - mmengine - INFO - Epoch(train) [1][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:15:54 time: 1.2123 data_time: 0.0667 memory: 14472 loss: 1.0673 loss_rpn_cls: 0.0481 loss_rpn_bbox: 0.0730 loss_cls: 0.2943 acc: 93.7500 loss_bbox: 0.3561 loss_mask: 0.2959 2024/01/13 14:02:46 - mmengine - INFO - Epoch(train) [1][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:14:57 time: 1.2008 data_time: 0.0556 memory: 14641 loss: 0.9196 loss_rpn_cls: 0.0365 loss_rpn_bbox: 0.0617 loss_cls: 0.2474 acc: 97.2656 loss_bbox: 0.3052 loss_mask: 0.2688 2024/01/13 14:03:45 - mmengine - INFO - Epoch(train) [1][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:13:51 time: 1.1892 data_time: 0.0579 memory: 14134 loss: 0.8804 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0571 loss_cls: 0.2469 acc: 87.5000 loss_bbox: 0.2950 loss_mask: 0.2502 2024/01/13 14:04:45 - mmengine - INFO - Epoch(train) [1][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:12:50 time: 1.1954 data_time: 0.0460 memory: 14423 loss: 0.7144 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0434 loss_cls: 0.1947 acc: 98.8281 loss_bbox: 0.2280 loss_mask: 0.2237 2024/01/13 14:05:45 - mmengine - INFO - Epoch(train) [1][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:11:48 time: 1.1947 data_time: 0.0655 memory: 14456 loss: 1.0231 loss_rpn_cls: 0.0466 loss_rpn_bbox: 0.0736 loss_cls: 0.2930 acc: 99.6094 loss_bbox: 0.3363 loss_mask: 0.2737 2024/01/13 14:06:45 - mmengine - INFO - Epoch(train) [1][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:10:48 time: 1.1967 data_time: 0.0659 memory: 13952 loss: 1.0259 loss_rpn_cls: 0.0416 loss_rpn_bbox: 0.0601 loss_cls: 0.2960 acc: 84.3750 loss_bbox: 0.3435 loss_mask: 0.2847 2024/01/13 14:07:45 - mmengine - INFO - Epoch(train) [1][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:09:53 time: 1.2059 data_time: 0.0526 memory: 13952 loss: 0.8128 loss_rpn_cls: 0.0348 loss_rpn_bbox: 0.0537 loss_cls: 0.2173 acc: 94.7266 loss_bbox: 0.2601 loss_mask: 0.2469 2024/01/13 14:08:44 - mmengine - INFO - Epoch(train) [1][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:08:45 time: 1.1848 data_time: 0.0598 memory: 14324 loss: 0.9171 loss_rpn_cls: 0.0443 loss_rpn_bbox: 0.0607 loss_cls: 0.2500 acc: 91.9922 loss_bbox: 0.2817 loss_mask: 0.2805 2024/01/13 14:09:45 - mmengine - INFO - Epoch(train) [1][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:07:50 time: 1.2047 data_time: 0.0656 memory: 14954 loss: 0.9616 loss_rpn_cls: 0.0402 loss_rpn_bbox: 0.0623 loss_cls: 0.2658 acc: 97.8516 loss_bbox: 0.3168 loss_mask: 0.2764 2024/01/13 14:10:44 - mmengine - INFO - Epoch(train) [1][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:06:50 time: 1.1977 data_time: 0.0579 memory: 13952 loss: 0.9868 loss_rpn_cls: 0.0569 loss_rpn_bbox: 0.0723 loss_cls: 0.2709 acc: 87.8906 loss_bbox: 0.3063 loss_mask: 0.2804 2024/01/13 14:11:43 - mmengine - INFO - Epoch(train) [1][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:05:40 time: 1.1808 data_time: 0.0669 memory: 14004 loss: 0.9809 loss_rpn_cls: 0.0437 loss_rpn_bbox: 0.0658 loss_cls: 0.2852 acc: 91.6016 loss_bbox: 0.3314 loss_mask: 0.2548 2024/01/13 14:12:44 - mmengine - INFO - Epoch(train) [1][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:04:49 time: 1.2115 data_time: 0.0570 memory: 14452 loss: 0.8771 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0504 loss_cls: 0.2267 acc: 98.2422 loss_bbox: 0.2831 loss_mask: 0.2927 2024/01/13 14:13:42 - mmengine - INFO - Epoch(train) [1][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:03:32 time: 1.1699 data_time: 0.0578 memory: 14328 loss: 0.8659 loss_rpn_cls: 0.0372 loss_rpn_bbox: 0.0489 loss_cls: 0.2071 acc: 99.2188 loss_bbox: 0.2768 loss_mask: 0.2959 2024/01/13 14:14:43 - mmengine - INFO - Epoch(train) [1][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:02:44 time: 1.2173 data_time: 0.0584 memory: 14446 loss: 0.9816 loss_rpn_cls: 0.0631 loss_rpn_bbox: 0.0654 loss_cls: 0.2460 acc: 99.2188 loss_bbox: 0.3024 loss_mask: 0.3046 2024/01/13 14:15:43 - mmengine - INFO - Epoch(train) [1][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:01:40 time: 1.1908 data_time: 0.0543 memory: 14925 loss: 0.8428 loss_rpn_cls: 0.0317 loss_rpn_bbox: 0.0468 loss_cls: 0.2045 acc: 88.8672 loss_bbox: 0.2723 loss_mask: 0.2876 2024/01/13 14:16:43 - mmengine - INFO - Epoch(train) [1][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:00:43 time: 1.2027 data_time: 0.0549 memory: 14954 loss: 0.8998 loss_rpn_cls: 0.0436 loss_rpn_bbox: 0.0661 loss_cls: 0.2567 acc: 94.1406 loss_bbox: 0.2741 loss_mask: 0.2594 2024/01/13 14:17:43 - mmengine - INFO - Epoch(train) [1][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:59:48 time: 1.2050 data_time: 0.0661 memory: 14041 loss: 0.9534 loss_rpn_cls: 0.0376 loss_rpn_bbox: 0.0726 loss_cls: 0.2564 acc: 82.6172 loss_bbox: 0.3117 loss_mask: 0.2750 2024/01/13 14:18:43 - mmengine - INFO - Epoch(train) [1][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:58:51 time: 1.2025 data_time: 0.0715 memory: 14423 loss: 0.9600 loss_rpn_cls: 0.0608 loss_rpn_bbox: 0.0737 loss_cls: 0.2533 acc: 80.0781 loss_bbox: 0.3137 loss_mask: 0.2584 2024/01/13 14:19:43 - mmengine - INFO - Epoch(train) [1][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:57:49 time: 1.1940 data_time: 0.0727 memory: 14951 loss: 0.8878 loss_rpn_cls: 0.0333 loss_rpn_bbox: 0.0582 loss_cls: 0.2288 acc: 81.4453 loss_bbox: 0.3049 loss_mask: 0.2627 2024/01/13 14:20:43 - mmengine - INFO - Epoch(train) [1][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:56:50 time: 1.1981 data_time: 0.0563 memory: 14950 loss: 0.8661 loss_rpn_cls: 0.0424 loss_rpn_bbox: 0.0496 loss_cls: 0.2422 acc: 97.4609 loss_bbox: 0.2968 loss_mask: 0.2351 2024/01/13 14:21:44 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 14:21:44 - mmengine - INFO - Epoch(train) [1][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:56:01 time: 1.2166 data_time: 0.0691 memory: 14472 loss: 0.8842 loss_rpn_cls: 0.0434 loss_rpn_bbox: 0.0545 loss_cls: 0.2256 acc: 98.6328 loss_bbox: 0.2977 loss_mask: 0.2629 2024/01/13 14:22:45 - mmengine - INFO - Epoch(train) [1][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:55:11 time: 1.2155 data_time: 0.0682 memory: 14041 loss: 0.9820 loss_rpn_cls: 0.0449 loss_rpn_bbox: 0.0745 loss_cls: 0.2802 acc: 84.7656 loss_bbox: 0.3200 loss_mask: 0.2623 2024/01/13 14:23:44 - mmengine - INFO - Epoch(train) [1][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:54:00 time: 1.1781 data_time: 0.0552 memory: 14469 loss: 0.8487 loss_rpn_cls: 0.0287 loss_rpn_bbox: 0.0523 loss_cls: 0.2356 acc: 99.4141 loss_bbox: 0.2773 loss_mask: 0.2548 2024/01/13 14:24:43 - mmengine - INFO - Epoch(train) [1][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:52:54 time: 1.1865 data_time: 0.0607 memory: 13982 loss: 0.8972 loss_rpn_cls: 0.0373 loss_rpn_bbox: 0.0577 loss_cls: 0.2544 acc: 91.2109 loss_bbox: 0.2998 loss_mask: 0.2479 2024/01/13 14:25:42 - mmengine - INFO - Epoch(train) [1][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:51:46 time: 1.1828 data_time: 0.0682 memory: 14469 loss: 0.9503 loss_rpn_cls: 0.0433 loss_rpn_bbox: 0.0679 loss_cls: 0.2650 acc: 96.6797 loss_bbox: 0.3015 loss_mask: 0.2726 2024/01/13 14:26:42 - mmengine - INFO - Epoch(train) [1][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:50:42 time: 1.1904 data_time: 0.0655 memory: 13811 loss: 0.8684 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0428 loss_cls: 0.2484 acc: 93.9453 loss_bbox: 0.2759 loss_mask: 0.2743 2024/01/13 14:27:41 - mmengine - INFO - Epoch(train) [1][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:49:38 time: 1.1908 data_time: 0.0573 memory: 14080 loss: 0.9451 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0570 loss_cls: 0.2589 acc: 95.3125 loss_bbox: 0.3010 loss_mask: 0.3047 2024/01/13 14:28:16 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 14:28:16 - mmengine - INFO - Saving checkpoint at 1 epochs 2024/01/13 14:28:36 - mmengine - INFO - Epoch(val) [1][ 50/313] eta: 0:01:11 time: 0.2737 data_time: 0.0613 memory: 14390 2024/01/13 14:28:48 - mmengine - INFO - Epoch(val) [1][100/313] eta: 0:00:55 time: 0.2461 data_time: 0.0348 memory: 3311 2024/01/13 14:29:00 - mmengine - INFO - Epoch(val) [1][150/313] eta: 0:00:40 time: 0.2278 data_time: 0.0210 memory: 3368 2024/01/13 14:29:12 - mmengine - INFO - Epoch(val) [1][200/313] eta: 0:00:27 time: 0.2390 data_time: 0.0266 memory: 3331 2024/01/13 14:29:23 - mmengine - INFO - Epoch(val) [1][250/313] eta: 0:00:15 time: 0.2282 data_time: 0.0230 memory: 3368 2024/01/13 14:29:35 - mmengine - INFO - Epoch(val) [1][300/313] eta: 0:00:03 time: 0.2327 data_time: 0.0243 memory: 3331 2024/01/13 14:29:48 - mmengine - INFO - Evaluating bbox... 2024/01/13 14:30:17 - mmengine - INFO - bbox_mAP_copypaste: 0.365 0.611 0.390 0.218 0.402 0.491 2024/01/13 14:30:17 - mmengine - INFO - Evaluating segm... 2024/01/13 14:30:51 - mmengine - INFO - segm_mAP_copypaste: 0.350 0.580 0.372 0.163 0.379 0.525 2024/01/13 14:30:51 - mmengine - INFO - Epoch(val) [1][313/313] coco/bbox_mAP: 0.3650 coco/bbox_mAP_50: 0.6110 coco/bbox_mAP_75: 0.3900 coco/bbox_mAP_s: 0.2180 coco/bbox_mAP_m: 0.4020 coco/bbox_mAP_l: 0.4910 coco/segm_mAP: 0.3500 coco/segm_mAP_50: 0.5800 coco/segm_mAP_75: 0.3720 coco/segm_mAP_s: 0.1630 coco/segm_mAP_m: 0.3790 coco/segm_mAP_l: 0.5250 data_time: 0.0309 time: 0.2401 2024/01/13 14:31:53 - mmengine - INFO - Epoch(train) [2][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:48:17 time: 1.2346 data_time: 0.0738 memory: 14874 loss: 0.8845 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0509 loss_cls: 0.2464 acc: 83.7891 loss_bbox: 0.2988 loss_mask: 0.2594 2024/01/13 14:32:53 - mmengine - INFO - Epoch(train) [2][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:47:18 time: 1.1985 data_time: 0.0602 memory: 14328 loss: 0.8906 loss_rpn_cls: 0.0358 loss_rpn_bbox: 0.0557 loss_cls: 0.2311 acc: 96.4844 loss_bbox: 0.3133 loss_mask: 0.2547 2024/01/13 14:33:53 - mmengine - INFO - Epoch(train) [2][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:46:21 time: 1.2023 data_time: 0.0623 memory: 14472 loss: 0.9459 loss_rpn_cls: 0.0295 loss_rpn_bbox: 0.0632 loss_cls: 0.2490 acc: 91.9922 loss_bbox: 0.3256 loss_mask: 0.2785 2024/01/13 14:34:53 - mmengine - INFO - Epoch(train) [2][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:45:19 time: 1.1933 data_time: 0.0493 memory: 14469 loss: 0.7620 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0351 loss_cls: 0.2057 acc: 99.2188 loss_bbox: 0.2524 loss_mask: 0.2483 2024/01/13 14:35:52 - mmengine - INFO - Epoch(train) [2][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:44:11 time: 1.1829 data_time: 0.0521 memory: 13952 loss: 0.8274 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0388 loss_cls: 0.2404 acc: 82.6172 loss_bbox: 0.2750 loss_mask: 0.2521 2024/01/13 14:36:53 - mmengine - INFO - Epoch(train) [2][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:43:25 time: 1.2238 data_time: 0.0592 memory: 14472 loss: 0.7418 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0488 loss_cls: 0.1900 acc: 91.7969 loss_bbox: 0.2378 loss_mask: 0.2409 2024/01/13 14:37:55 - mmengine - INFO - Epoch(train) [2][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:42:42 time: 1.2305 data_time: 0.0604 memory: 14954 loss: 0.8838 loss_rpn_cls: 0.0310 loss_rpn_bbox: 0.0573 loss_cls: 0.2387 acc: 96.4844 loss_bbox: 0.3022 loss_mask: 0.2545 2024/01/13 14:38:55 - mmengine - INFO - Epoch(train) [2][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:41:45 time: 1.2029 data_time: 0.0579 memory: 14424 loss: 0.8001 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0515 loss_cls: 0.2090 acc: 91.0156 loss_bbox: 0.2707 loss_mask: 0.2428 2024/01/13 14:39:54 - mmengine - INFO - Epoch(train) [2][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:40:38 time: 1.1836 data_time: 0.0560 memory: 13952 loss: 0.9065 loss_rpn_cls: 0.0381 loss_rpn_bbox: 0.0656 loss_cls: 0.2371 acc: 91.6016 loss_bbox: 0.3063 loss_mask: 0.2593 2024/01/13 14:40:52 - mmengine - INFO - Epoch(train) [2][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:39:21 time: 1.1651 data_time: 0.0468 memory: 14134 loss: 0.7378 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0384 loss_cls: 0.2043 acc: 97.2656 loss_bbox: 0.2408 loss_mask: 0.2285 2024/01/13 14:41:51 - mmengine - INFO - Epoch(train) [2][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:38:07 time: 1.1692 data_time: 0.0536 memory: 14942 loss: 0.8756 loss_rpn_cls: 0.0361 loss_rpn_bbox: 0.0653 loss_cls: 0.2253 acc: 86.1328 loss_bbox: 0.3018 loss_mask: 0.2471 2024/01/13 14:42:51 - mmengine - INFO - Epoch(train) [2][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:37:08 time: 1.1992 data_time: 0.0614 memory: 14423 loss: 0.7647 loss_rpn_cls: 0.0411 loss_rpn_bbox: 0.0509 loss_cls: 0.2178 acc: 85.9375 loss_bbox: 0.2387 loss_mask: 0.2161 2024/01/13 14:43:50 - mmengine - INFO - Epoch(train) [2][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:36:04 time: 1.1894 data_time: 0.0485 memory: 14472 loss: 0.7770 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0479 loss_cls: 0.2067 acc: 94.7266 loss_bbox: 0.2603 loss_mask: 0.2368 2024/01/13 14:44:14 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 14:44:50 - mmengine - INFO - Epoch(train) [2][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:35:01 time: 1.1920 data_time: 0.0661 memory: 14313 loss: 0.8816 loss_rpn_cls: 0.0411 loss_rpn_bbox: 0.0680 loss_cls: 0.2249 acc: 86.5234 loss_bbox: 0.2964 loss_mask: 0.2512 2024/01/13 14:45:50 - mmengine - INFO - Epoch(train) [2][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:34:02 time: 1.1974 data_time: 0.0553 memory: 14472 loss: 0.8558 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0574 loss_cls: 0.2243 acc: 94.7266 loss_bbox: 0.2835 loss_mask: 0.2631 2024/01/13 14:46:50 - mmengine - INFO - Epoch(train) [2][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:33:05 time: 1.2041 data_time: 0.0616 memory: 14474 loss: 0.8697 loss_rpn_cls: 0.0352 loss_rpn_bbox: 0.0497 loss_cls: 0.2396 acc: 99.8047 loss_bbox: 0.2873 loss_mask: 0.2579 2024/01/13 14:47:49 - mmengine - INFO - Epoch(train) [2][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:32:03 time: 1.1918 data_time: 0.0490 memory: 14423 loss: 0.6670 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0366 loss_cls: 0.1577 acc: 98.0469 loss_bbox: 0.2155 loss_mask: 0.2387 2024/01/13 14:48:49 - mmengine - INFO - Epoch(train) [2][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:30:58 time: 1.1871 data_time: 0.0548 memory: 14469 loss: 0.8610 loss_rpn_cls: 0.0347 loss_rpn_bbox: 0.0468 loss_cls: 0.2388 acc: 81.6406 loss_bbox: 0.2833 loss_mask: 0.2573 2024/01/13 14:49:49 - mmengine - INFO - Epoch(train) [2][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:30:00 time: 1.2016 data_time: 0.0612 memory: 14134 loss: 0.8561 loss_rpn_cls: 0.0316 loss_rpn_bbox: 0.0480 loss_cls: 0.2286 acc: 99.0234 loss_bbox: 0.2838 loss_mask: 0.2642 2024/01/13 14:50:49 - mmengine - INFO - Epoch(train) [2][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:29:05 time: 1.2070 data_time: 0.0517 memory: 14954 loss: 0.8387 loss_rpn_cls: 0.0298 loss_rpn_bbox: 0.0510 loss_cls: 0.2097 acc: 98.0469 loss_bbox: 0.2674 loss_mask: 0.2808 2024/01/13 14:51:49 - mmengine - INFO - Epoch(train) [2][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:28:02 time: 1.1912 data_time: 0.0554 memory: 14658 loss: 0.7630 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0463 loss_cls: 0.1951 acc: 94.9219 loss_bbox: 0.2627 loss_mask: 0.2318 2024/01/13 14:52:48 - mmengine - INFO - Epoch(train) [2][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:26:56 time: 1.1839 data_time: 0.0508 memory: 13952 loss: 0.6790 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0332 loss_cls: 0.1763 acc: 98.8281 loss_bbox: 0.2225 loss_mask: 0.2275 2024/01/13 14:53:48 - mmengine - INFO - Epoch(train) [2][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:25:53 time: 1.1917 data_time: 0.0549 memory: 14502 loss: 0.8130 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0520 loss_cls: 0.2182 acc: 84.1797 loss_bbox: 0.2738 loss_mask: 0.2397 2024/01/13 14:54:46 - mmengine - INFO - Epoch(train) [2][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:24:44 time: 1.1761 data_time: 0.0620 memory: 14474 loss: 0.8389 loss_rpn_cls: 0.0358 loss_rpn_bbox: 0.0668 loss_cls: 0.2266 acc: 96.6797 loss_bbox: 0.2730 loss_mask: 0.2366 2024/01/13 14:55:46 - mmengine - INFO - Epoch(train) [2][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:23:40 time: 1.1886 data_time: 0.0501 memory: 14472 loss: 0.7575 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0452 loss_cls: 0.2081 acc: 89.0625 loss_bbox: 0.2540 loss_mask: 0.2300 2024/01/13 14:56:45 - mmengine - INFO - Epoch(train) [2][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:22:39 time: 1.1943 data_time: 0.0670 memory: 14134 loss: 0.9240 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0662 loss_cls: 0.2577 acc: 98.2422 loss_bbox: 0.3122 loss_mask: 0.2584 2024/01/13 14:57:45 - mmengine - INFO - Epoch(train) [2][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:21:35 time: 1.1890 data_time: 0.0512 memory: 14472 loss: 0.8918 loss_rpn_cls: 0.0316 loss_rpn_bbox: 0.0613 loss_cls: 0.2259 acc: 99.6094 loss_bbox: 0.2935 loss_mask: 0.2795 2024/01/13 14:58:44 - mmengine - INFO - Epoch(train) [2][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:20:28 time: 1.1809 data_time: 0.0539 memory: 14424 loss: 0.7559 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0466 loss_cls: 0.2036 acc: 98.2422 loss_bbox: 0.2556 loss_mask: 0.2256 2024/01/13 14:59:44 - mmengine - INFO - Epoch(train) [2][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:19:34 time: 1.2091 data_time: 0.0558 memory: 14712 loss: 0.8076 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0487 loss_cls: 0.2177 acc: 89.8438 loss_bbox: 0.2769 loss_mask: 0.2346 2024/01/13 15:00:44 - mmengine - INFO - Epoch(train) [2][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:18:34 time: 1.1977 data_time: 0.0588 memory: 14954 loss: 0.7932 loss_rpn_cls: 0.0460 loss_rpn_bbox: 0.0605 loss_cls: 0.1984 acc: 99.0234 loss_bbox: 0.2528 loss_mask: 0.2355 2024/01/13 15:01:45 - mmengine - INFO - Epoch(train) [2][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:17:41 time: 1.2108 data_time: 0.0522 memory: 14448 loss: 0.7965 loss_rpn_cls: 0.0328 loss_rpn_bbox: 0.0508 loss_cls: 0.2131 acc: 85.5469 loss_bbox: 0.2650 loss_mask: 0.2349 2024/01/13 15:02:44 - mmengine - INFO - Epoch(train) [2][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:16:36 time: 1.1873 data_time: 0.0559 memory: 14653 loss: 0.8030 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0409 loss_cls: 0.2169 acc: 99.2188 loss_bbox: 0.2831 loss_mask: 0.2406 2024/01/13 15:03:44 - mmengine - INFO - Epoch(train) [2][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:15:39 time: 1.2019 data_time: 0.0552 memory: 14472 loss: 0.8150 loss_rpn_cls: 0.0301 loss_rpn_bbox: 0.0511 loss_cls: 0.2192 acc: 93.3594 loss_bbox: 0.2759 loss_mask: 0.2388 2024/01/13 15:04:08 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 15:04:44 - mmengine - INFO - Epoch(train) [2][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:14:38 time: 1.1944 data_time: 0.0576 memory: 14591 loss: 0.8539 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0565 loss_cls: 0.2397 acc: 94.9219 loss_bbox: 0.2936 loss_mask: 0.2326 2024/01/13 15:05:43 - mmengine - INFO - Epoch(train) [2][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:13:34 time: 1.1871 data_time: 0.0610 memory: 14424 loss: 0.7864 loss_rpn_cls: 0.0308 loss_rpn_bbox: 0.0526 loss_cls: 0.2120 acc: 96.4844 loss_bbox: 0.2526 loss_mask: 0.2385 2024/01/13 15:06:43 - mmengine - INFO - Epoch(train) [2][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:12:31 time: 1.1912 data_time: 0.0582 memory: 14472 loss: 0.8061 loss_rpn_cls: 0.0302 loss_rpn_bbox: 0.0525 loss_cls: 0.2163 acc: 99.2188 loss_bbox: 0.2726 loss_mask: 0.2346 2024/01/13 15:07:43 - mmengine - INFO - Epoch(train) [2][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:11:35 time: 1.2056 data_time: 0.0617 memory: 14472 loss: 0.7758 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0472 loss_cls: 0.2014 acc: 99.6094 loss_bbox: 0.2613 loss_mask: 0.2345 2024/01/13 15:08:43 - mmengine - INFO - Epoch(train) [2][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:10:32 time: 1.1895 data_time: 0.0575 memory: 14472 loss: 0.7667 loss_rpn_cls: 0.0278 loss_rpn_bbox: 0.0485 loss_cls: 0.1925 acc: 96.4844 loss_bbox: 0.2556 loss_mask: 0.2424 2024/01/13 15:09:43 - mmengine - INFO - Epoch(train) [2][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:09:36 time: 1.2064 data_time: 0.0567 memory: 14134 loss: 0.8061 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0476 loss_cls: 0.2315 acc: 95.8984 loss_bbox: 0.2552 loss_mask: 0.2466 2024/01/13 15:10:43 - mmengine - INFO - Epoch(train) [2][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:08:37 time: 1.1982 data_time: 0.0558 memory: 14545 loss: 0.7653 loss_rpn_cls: 0.0357 loss_rpn_bbox: 0.0441 loss_cls: 0.2077 acc: 84.5703 loss_bbox: 0.2554 loss_mask: 0.2225 2024/01/13 15:11:43 - mmengine - INFO - Epoch(train) [2][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:07:41 time: 1.2065 data_time: 0.0498 memory: 14951 loss: 0.7143 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0432 loss_cls: 0.1817 acc: 99.8047 loss_bbox: 0.2416 loss_mask: 0.2216 2024/01/13 15:12:44 - mmengine - INFO - Epoch(train) [2][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:06:45 time: 1.2055 data_time: 0.0617 memory: 14954 loss: 0.9527 loss_rpn_cls: 0.0346 loss_rpn_bbox: 0.0576 loss_cls: 0.2601 acc: 94.7266 loss_bbox: 0.3220 loss_mask: 0.2785 2024/01/13 15:13:45 - mmengine - INFO - Epoch(train) [2][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:05:57 time: 1.2262 data_time: 0.0634 memory: 14954 loss: 0.8197 loss_rpn_cls: 0.0325 loss_rpn_bbox: 0.0459 loss_cls: 0.2212 acc: 96.6797 loss_bbox: 0.2895 loss_mask: 0.2306 2024/01/13 15:14:44 - mmengine - INFO - Epoch(train) [2][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:04:54 time: 1.1891 data_time: 0.0652 memory: 14628 loss: 0.9086 loss_rpn_cls: 0.0306 loss_rpn_bbox: 0.0544 loss_cls: 0.2499 acc: 77.7344 loss_bbox: 0.3168 loss_mask: 0.2569 2024/01/13 15:15:44 - mmengine - INFO - Epoch(train) [2][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:03:53 time: 1.1955 data_time: 0.0527 memory: 14472 loss: 0.7624 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0479 loss_cls: 0.2082 acc: 96.4844 loss_bbox: 0.2563 loss_mask: 0.2244 2024/01/13 15:16:44 - mmengine - INFO - Epoch(train) [2][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:02:53 time: 1.1972 data_time: 0.0616 memory: 14658 loss: 0.8414 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0480 loss_cls: 0.2449 acc: 90.4297 loss_bbox: 0.2855 loss_mask: 0.2390 2024/01/13 15:17:43 - mmengine - INFO - Epoch(train) [2][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:01:50 time: 1.1892 data_time: 0.0528 memory: 14950 loss: 0.8612 loss_rpn_cls: 0.0354 loss_rpn_bbox: 0.0480 loss_cls: 0.2482 acc: 78.9062 loss_bbox: 0.2859 loss_mask: 0.2437 2024/01/13 15:18:43 - mmengine - INFO - Epoch(train) [2][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:00:47 time: 1.1873 data_time: 0.0607 memory: 14472 loss: 0.8257 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0520 loss_cls: 0.2279 acc: 85.3516 loss_bbox: 0.2750 loss_mask: 0.2410 2024/01/13 15:19:42 - mmengine - INFO - Epoch(train) [2][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:59:43 time: 1.1870 data_time: 0.0580 memory: 14472 loss: 0.8688 loss_rpn_cls: 0.0384 loss_rpn_bbox: 0.0507 loss_cls: 0.2523 acc: 97.0703 loss_bbox: 0.2905 loss_mask: 0.2370 2024/01/13 15:20:42 - mmengine - INFO - Epoch(train) [2][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:58:41 time: 1.1925 data_time: 0.0573 memory: 14472 loss: 0.7160 loss_rpn_cls: 0.0285 loss_rpn_bbox: 0.0389 loss_cls: 0.1820 acc: 97.6562 loss_bbox: 0.2386 loss_mask: 0.2281 2024/01/13 15:21:41 - mmengine - INFO - Epoch(train) [2][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:57:39 time: 1.1904 data_time: 0.0548 memory: 14472 loss: 0.7719 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0454 loss_cls: 0.2108 acc: 86.1328 loss_bbox: 0.2603 loss_mask: 0.2299 2024/01/13 15:22:40 - mmengine - INFO - Epoch(train) [2][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:56:33 time: 1.1813 data_time: 0.0527 memory: 14472 loss: 0.7059 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0456 loss_cls: 0.1854 acc: 86.1328 loss_bbox: 0.2378 loss_mask: 0.2089 2024/01/13 15:23:40 - mmengine - INFO - Epoch(train) [2][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:55:30 time: 1.1894 data_time: 0.0581 memory: 14466 loss: 0.8893 loss_rpn_cls: 0.0353 loss_rpn_bbox: 0.0643 loss_cls: 0.2398 acc: 84.3750 loss_bbox: 0.2904 loss_mask: 0.2595 2024/01/13 15:24:04 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 15:24:40 - mmengine - INFO - Epoch(train) [2][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:54:30 time: 1.1972 data_time: 0.0626 memory: 14424 loss: 0.9299 loss_rpn_cls: 0.0350 loss_rpn_bbox: 0.0539 loss_cls: 0.2575 acc: 93.1641 loss_bbox: 0.3142 loss_mask: 0.2692 2024/01/13 15:25:40 - mmengine - INFO - Epoch(train) [2][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:53:33 time: 1.2052 data_time: 0.0589 memory: 14954 loss: 0.7816 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0576 loss_cls: 0.2079 acc: 99.8047 loss_bbox: 0.2599 loss_mask: 0.2300 2024/01/13 15:26:41 - mmengine - INFO - Epoch(train) [2][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:52:40 time: 1.2126 data_time: 0.0538 memory: 13952 loss: 0.8178 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0497 loss_cls: 0.2331 acc: 88.4766 loss_bbox: 0.2663 loss_mask: 0.2437 2024/01/13 15:27:40 - mmengine - INFO - Epoch(train) [2][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:51:40 time: 1.1968 data_time: 0.0567 memory: 14482 loss: 0.7916 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0542 loss_cls: 0.2225 acc: 85.9375 loss_bbox: 0.2478 loss_mask: 0.2381 2024/01/13 15:28:40 - mmengine - INFO - Epoch(train) [2][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:50:39 time: 1.1953 data_time: 0.0621 memory: 14472 loss: 0.9198 loss_rpn_cls: 0.0432 loss_rpn_bbox: 0.0565 loss_cls: 0.2627 acc: 100.0000 loss_bbox: 0.3028 loss_mask: 0.2546 2024/01/13 15:29:40 - mmengine - INFO - Epoch(train) [2][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:49:38 time: 1.1938 data_time: 0.0466 memory: 14954 loss: 0.7151 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0387 loss_cls: 0.1797 acc: 99.6094 loss_bbox: 0.2449 loss_mask: 0.2267 2024/01/13 15:30:41 - mmengine - INFO - Epoch(train) [2][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:48:46 time: 1.2169 data_time: 0.0630 memory: 14951 loss: 0.8134 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0428 loss_cls: 0.2213 acc: 91.6016 loss_bbox: 0.2648 loss_mask: 0.2508 2024/01/13 15:31:40 - mmengine - INFO - Epoch(train) [2][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:47:42 time: 1.1858 data_time: 0.0559 memory: 13771 loss: 0.8593 loss_rpn_cls: 0.0321 loss_rpn_bbox: 0.0566 loss_cls: 0.2262 acc: 91.7969 loss_bbox: 0.2862 loss_mask: 0.2582 2024/01/13 15:32:40 - mmengine - INFO - Epoch(train) [2][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:46:41 time: 1.1950 data_time: 0.0629 memory: 14472 loss: 0.9139 loss_rpn_cls: 0.0365 loss_rpn_bbox: 0.0613 loss_cls: 0.2476 acc: 94.7266 loss_bbox: 0.3099 loss_mask: 0.2586 2024/01/13 15:33:39 - mmengine - INFO - Epoch(train) [2][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:45:36 time: 1.1825 data_time: 0.0536 memory: 14041 loss: 0.7423 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0484 loss_cls: 0.1908 acc: 96.6797 loss_bbox: 0.2509 loss_mask: 0.2322 2024/01/13 15:34:38 - mmengine - INFO - Epoch(train) [2][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:44:31 time: 1.1833 data_time: 0.0486 memory: 13952 loss: 0.6264 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0318 loss_cls: 0.1666 acc: 95.5078 loss_bbox: 0.2016 loss_mask: 0.2076 2024/01/13 15:35:38 - mmengine - INFO - Epoch(train) [2][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:43:33 time: 1.2001 data_time: 0.0642 memory: 13771 loss: 0.8762 loss_rpn_cls: 0.0337 loss_rpn_bbox: 0.0642 loss_cls: 0.2467 acc: 96.6797 loss_bbox: 0.2818 loss_mask: 0.2498 2024/01/13 15:36:38 - mmengine - INFO - Epoch(train) [2][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:42:34 time: 1.2005 data_time: 0.0548 memory: 14041 loss: 0.7729 loss_rpn_cls: 0.0291 loss_rpn_bbox: 0.0456 loss_cls: 0.2209 acc: 86.3281 loss_bbox: 0.2458 loss_mask: 0.2315 2024/01/13 15:37:38 - mmengine - INFO - Epoch(train) [2][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:41:38 time: 1.2070 data_time: 0.0510 memory: 13771 loss: 0.8253 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0486 loss_cls: 0.2152 acc: 90.2344 loss_bbox: 0.2860 loss_mask: 0.2460 2024/01/13 15:38:38 - mmengine - INFO - Epoch(train) [2][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:40:38 time: 1.1971 data_time: 0.0551 memory: 14423 loss: 0.7054 loss_rpn_cls: 0.0253 loss_rpn_bbox: 0.0445 loss_cls: 0.1806 acc: 99.8047 loss_bbox: 0.2458 loss_mask: 0.2093 2024/01/13 15:39:38 - mmengine - INFO - Epoch(train) [2][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:39:40 time: 1.2008 data_time: 0.0580 memory: 14472 loss: 0.7751 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0443 loss_cls: 0.2156 acc: 90.4297 loss_bbox: 0.2539 loss_mask: 0.2354 2024/01/13 15:40:38 - mmengine - INFO - Epoch(train) [2][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:38:38 time: 1.1912 data_time: 0.0524 memory: 13952 loss: 0.6168 loss_rpn_cls: 0.0334 loss_rpn_bbox: 0.0390 loss_cls: 0.1424 acc: 84.1797 loss_bbox: 0.1887 loss_mask: 0.2132 2024/01/13 15:41:37 - mmengine - INFO - Epoch(train) [2][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:37:34 time: 1.1872 data_time: 0.0632 memory: 14780 loss: 0.8225 loss_rpn_cls: 0.0338 loss_rpn_bbox: 0.0514 loss_cls: 0.2231 acc: 100.0000 loss_bbox: 0.2835 loss_mask: 0.2307 2024/01/13 15:42:37 - mmengine - INFO - Epoch(train) [2][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:36:36 time: 1.2005 data_time: 0.0531 memory: 14658 loss: 0.7803 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0485 loss_cls: 0.2099 acc: 91.9922 loss_bbox: 0.2652 loss_mask: 0.2244 2024/01/13 15:43:38 - mmengine - INFO - Epoch(train) [2][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:35:42 time: 1.2146 data_time: 0.0599 memory: 14472 loss: 0.7824 loss_rpn_cls: 0.0358 loss_rpn_bbox: 0.0474 loss_cls: 0.2114 acc: 98.6328 loss_bbox: 0.2569 loss_mask: 0.2310 2024/01/13 15:44:02 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 15:44:37 - mmengine - INFO - Epoch(train) [2][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:34:35 time: 1.1764 data_time: 0.0522 memory: 13952 loss: 0.7736 loss_rpn_cls: 0.0253 loss_rpn_bbox: 0.0479 loss_cls: 0.2170 acc: 96.0938 loss_bbox: 0.2441 loss_mask: 0.2392 2024/01/13 15:45:37 - mmengine - INFO - Epoch(train) [2][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:33:37 time: 1.2005 data_time: 0.0628 memory: 14472 loss: 0.9198 loss_rpn_cls: 0.0395 loss_rpn_bbox: 0.0729 loss_cls: 0.2401 acc: 95.5078 loss_bbox: 0.3040 loss_mask: 0.2634 2024/01/13 15:46:36 - mmengine - INFO - Epoch(train) [2][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:32:33 time: 1.1868 data_time: 0.0645 memory: 14954 loss: 0.7698 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0490 loss_cls: 0.2258 acc: 92.5781 loss_bbox: 0.2506 loss_mask: 0.2170 2024/01/13 15:47:36 - mmengine - INFO - Epoch(train) [2][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:31:31 time: 1.1887 data_time: 0.0554 memory: 14472 loss: 0.8234 loss_rpn_cls: 0.0315 loss_rpn_bbox: 0.0485 loss_cls: 0.2354 acc: 92.9688 loss_bbox: 0.2653 loss_mask: 0.2427 2024/01/13 15:48:35 - mmengine - INFO - Epoch(train) [2][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:30:27 time: 1.1863 data_time: 0.0586 memory: 14472 loss: 0.7067 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0403 loss_cls: 0.1950 acc: 92.7734 loss_bbox: 0.2361 loss_mask: 0.2109 2024/01/13 15:49:34 - mmengine - INFO - Epoch(train) [2][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:29:22 time: 1.1814 data_time: 0.0456 memory: 14472 loss: 0.7855 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0456 loss_cls: 0.2058 acc: 93.1641 loss_bbox: 0.2539 loss_mask: 0.2505 2024/01/13 15:50:33 - mmengine - INFO - Epoch(train) [2][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:28:16 time: 1.1789 data_time: 0.0477 memory: 14472 loss: 0.6981 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0415 loss_cls: 0.1829 acc: 90.2344 loss_bbox: 0.2280 loss_mask: 0.2235 2024/01/13 15:51:32 - mmengine - INFO - Epoch(train) [2][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:27:09 time: 1.1756 data_time: 0.0537 memory: 14694 loss: 0.8081 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0493 loss_cls: 0.2122 acc: 85.9375 loss_bbox: 0.2833 loss_mask: 0.2375 2024/01/13 15:52:31 - mmengine - INFO - Epoch(train) [2][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:26:05 time: 1.1843 data_time: 0.0587 memory: 14469 loss: 0.8134 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0521 loss_cls: 0.2356 acc: 97.0703 loss_bbox: 0.2668 loss_mask: 0.2311 2024/01/13 15:53:31 - mmengine - INFO - Epoch(train) [2][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:25:08 time: 1.2036 data_time: 0.0609 memory: 14128 loss: 0.7398 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0386 loss_cls: 0.2016 acc: 94.7266 loss_bbox: 0.2576 loss_mask: 0.2173 2024/01/13 15:54:31 - mmengine - INFO - Epoch(train) [2][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:24:06 time: 1.1911 data_time: 0.0490 memory: 14662 loss: 0.6427 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0406 loss_cls: 0.1561 acc: 98.6328 loss_bbox: 0.2050 loss_mask: 0.2202 2024/01/13 15:55:30 - mmengine - INFO - Epoch(train) [2][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:23:03 time: 1.1855 data_time: 0.0601 memory: 14424 loss: 0.8150 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0486 loss_cls: 0.2141 acc: 97.6562 loss_bbox: 0.2524 loss_mask: 0.2731 2024/01/13 15:56:30 - mmengine - INFO - Epoch(train) [2][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:22:05 time: 1.2011 data_time: 0.0618 memory: 14726 loss: 0.7707 loss_rpn_cls: 0.0271 loss_rpn_bbox: 0.0457 loss_cls: 0.2020 acc: 98.0469 loss_bbox: 0.2610 loss_mask: 0.2349 2024/01/13 15:57:29 - mmengine - INFO - Epoch(train) [2][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:21:01 time: 1.1852 data_time: 0.0568 memory: 13952 loss: 0.8422 loss_rpn_cls: 0.0461 loss_rpn_bbox: 0.0579 loss_cls: 0.2142 acc: 97.0703 loss_bbox: 0.2638 loss_mask: 0.2603 2024/01/13 15:58:29 - mmengine - INFO - Epoch(train) [2][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:20:02 time: 1.1978 data_time: 0.0636 memory: 14469 loss: 0.6712 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0448 loss_cls: 0.1621 acc: 96.6797 loss_bbox: 0.2125 loss_mask: 0.2231 2024/01/13 15:59:28 - mmengine - INFO - Epoch(train) [2][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:18:57 time: 1.1815 data_time: 0.0527 memory: 14410 loss: 0.7734 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0478 loss_cls: 0.2057 acc: 99.0234 loss_bbox: 0.2650 loss_mask: 0.2328 2024/01/13 16:00:30 - mmengine - INFO - Epoch(train) [2][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:18:06 time: 1.2239 data_time: 0.0518 memory: 14954 loss: 0.7835 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0440 loss_cls: 0.2128 acc: 99.2188 loss_bbox: 0.2590 loss_mask: 0.2477 2024/01/13 16:01:29 - mmengine - INFO - Epoch(train) [2][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:17:04 time: 1.1904 data_time: 0.0591 memory: 14526 loss: 0.8139 loss_rpn_cls: 0.0341 loss_rpn_bbox: 0.0513 loss_cls: 0.2192 acc: 95.7031 loss_bbox: 0.2694 loss_mask: 0.2399 2024/01/13 16:02:28 - mmengine - INFO - Epoch(train) [2][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:16:02 time: 1.1873 data_time: 0.0551 memory: 14722 loss: 0.8958 loss_rpn_cls: 0.0547 loss_rpn_bbox: 0.0618 loss_cls: 0.2373 acc: 93.9453 loss_bbox: 0.2800 loss_mask: 0.2620 2024/01/13 16:03:28 - mmengine - INFO - Epoch(train) [2][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:14:59 time: 1.1872 data_time: 0.0558 memory: 14850 loss: 0.7334 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0421 loss_cls: 0.1956 acc: 95.1172 loss_bbox: 0.2317 loss_mask: 0.2453 2024/01/13 16:03:52 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 16:04:28 - mmengine - INFO - Epoch(train) [2][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:13:59 time: 1.1953 data_time: 0.0504 memory: 14472 loss: 0.7935 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0458 loss_cls: 0.2234 acc: 88.8672 loss_bbox: 0.2608 loss_mask: 0.2343 2024/01/13 16:05:28 - mmengine - INFO - Epoch(train) [2][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:13:03 time: 1.2083 data_time: 0.0603 memory: 14424 loss: 0.8527 loss_rpn_cls: 0.0380 loss_rpn_bbox: 0.0507 loss_cls: 0.2255 acc: 88.8672 loss_bbox: 0.3000 loss_mask: 0.2384 2024/01/13 16:06:26 - mmengine - INFO - Epoch(train) [2][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:11:54 time: 1.1670 data_time: 0.0581 memory: 14376 loss: 0.8440 loss_rpn_cls: 0.0355 loss_rpn_bbox: 0.0509 loss_cls: 0.2132 acc: 99.6094 loss_bbox: 0.2808 loss_mask: 0.2634 2024/01/13 16:07:27 - mmengine - INFO - Epoch(train) [2][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:11:02 time: 1.2234 data_time: 0.0546 memory: 14472 loss: 0.7547 loss_rpn_cls: 0.0341 loss_rpn_bbox: 0.0510 loss_cls: 0.2052 acc: 96.2891 loss_bbox: 0.2470 loss_mask: 0.2174 2024/01/13 16:08:27 - mmengine - INFO - Epoch(train) [2][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:10:03 time: 1.1968 data_time: 0.0610 memory: 14438 loss: 0.7784 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0393 loss_cls: 0.2143 acc: 91.7969 loss_bbox: 0.2582 loss_mask: 0.2417 2024/01/13 16:09:27 - mmengine - INFO - Epoch(train) [2][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:09:00 time: 1.1859 data_time: 0.0567 memory: 13919 loss: 0.7876 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0582 loss_cls: 0.2261 acc: 90.4297 loss_bbox: 0.2525 loss_mask: 0.2235 2024/01/13 16:10:26 - mmengine - INFO - Epoch(train) [2][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:07:59 time: 1.1934 data_time: 0.0623 memory: 14328 loss: 0.8329 loss_rpn_cls: 0.0344 loss_rpn_bbox: 0.0495 loss_cls: 0.2450 acc: 87.5000 loss_bbox: 0.2791 loss_mask: 0.2248 2024/01/13 16:11:26 - mmengine - INFO - Epoch(train) [2][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:06:57 time: 1.1908 data_time: 0.0531 memory: 14954 loss: 0.7601 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0439 loss_cls: 0.1959 acc: 85.1562 loss_bbox: 0.2443 loss_mask: 0.2495 2024/01/13 16:12:26 - mmengine - INFO - Epoch(train) [2][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:05:58 time: 1.1964 data_time: 0.0580 memory: 13811 loss: 0.8548 loss_rpn_cls: 0.0405 loss_rpn_bbox: 0.0539 loss_cls: 0.2451 acc: 97.2656 loss_bbox: 0.2746 loss_mask: 0.2407 2024/01/13 16:13:27 - mmengine - INFO - Epoch(train) [2][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:05:07 time: 1.2258 data_time: 0.0711 memory: 14954 loss: 0.7916 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0546 loss_cls: 0.2135 acc: 96.6797 loss_bbox: 0.2643 loss_mask: 0.2360 2024/01/13 16:14:27 - mmengine - INFO - Epoch(train) [2][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:04:08 time: 1.1991 data_time: 0.0586 memory: 13771 loss: 0.7694 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0414 loss_cls: 0.2126 acc: 86.3281 loss_bbox: 0.2640 loss_mask: 0.2273 2024/01/13 16:15:26 - mmengine - INFO - Epoch(train) [2][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:03:06 time: 1.1911 data_time: 0.0565 memory: 14584 loss: 0.8080 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0516 loss_cls: 0.2133 acc: 92.9688 loss_bbox: 0.2844 loss_mask: 0.2331 2024/01/13 16:16:28 - mmengine - INFO - Epoch(train) [2][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:02:15 time: 1.2238 data_time: 0.0494 memory: 14953 loss: 0.7645 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0531 loss_cls: 0.2080 acc: 96.2891 loss_bbox: 0.2587 loss_mask: 0.2233 2024/01/13 16:17:28 - mmengine - INFO - Epoch(train) [2][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:01:19 time: 1.2122 data_time: 0.0700 memory: 14423 loss: 0.8185 loss_rpn_cls: 0.0349 loss_rpn_bbox: 0.0516 loss_cls: 0.2383 acc: 81.4453 loss_bbox: 0.2655 loss_mask: 0.2281 2024/01/13 16:18:28 - mmengine - INFO - Epoch(train) [2][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:00:18 time: 1.1913 data_time: 0.0475 memory: 14041 loss: 0.7082 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0380 loss_cls: 0.1886 acc: 98.6328 loss_bbox: 0.2202 loss_mask: 0.2394 2024/01/13 16:19:27 - mmengine - INFO - Epoch(train) [2][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:59:15 time: 1.1854 data_time: 0.0608 memory: 13987 loss: 0.7732 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0498 loss_cls: 0.2053 acc: 98.8281 loss_bbox: 0.2606 loss_mask: 0.2318 2024/01/13 16:20:27 - mmengine - INFO - Epoch(train) [2][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:58:14 time: 1.1935 data_time: 0.0541 memory: 13952 loss: 0.6618 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0350 loss_cls: 0.1769 acc: 95.3125 loss_bbox: 0.2235 loss_mask: 0.2080 2024/01/13 16:21:26 - mmengine - INFO - Epoch(train) [2][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:57:13 time: 1.1935 data_time: 0.0545 memory: 14951 loss: 0.6973 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0385 loss_cls: 0.1750 acc: 91.2109 loss_bbox: 0.2319 loss_mask: 0.2290 2024/01/13 16:22:26 - mmengine - INFO - Epoch(train) [2][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:56:15 time: 1.2009 data_time: 0.0463 memory: 14654 loss: 0.7143 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0426 loss_cls: 0.1871 acc: 84.3750 loss_bbox: 0.2302 loss_mask: 0.2271 2024/01/13 16:23:25 - mmengine - INFO - Epoch(train) [2][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:55:09 time: 1.1768 data_time: 0.0499 memory: 14307 loss: 0.7252 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0501 loss_cls: 0.1945 acc: 99.2188 loss_bbox: 0.2298 loss_mask: 0.2273 2024/01/13 16:23:49 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 16:24:26 - mmengine - INFO - Epoch(train) [2][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:54:12 time: 1.2035 data_time: 0.0584 memory: 14727 loss: 0.7330 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0445 loss_cls: 0.1999 acc: 98.0469 loss_bbox: 0.2423 loss_mask: 0.2280 2024/01/13 16:25:27 - mmengine - INFO - Epoch(train) [2][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:53:19 time: 1.2230 data_time: 0.0608 memory: 14300 loss: 0.8322 loss_rpn_cls: 0.0317 loss_rpn_bbox: 0.0532 loss_cls: 0.2217 acc: 94.7266 loss_bbox: 0.2739 loss_mask: 0.2517 2024/01/13 16:26:27 - mmengine - INFO - Epoch(train) [2][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:52:24 time: 1.2131 data_time: 0.0591 memory: 14472 loss: 0.7861 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0499 loss_cls: 0.1966 acc: 95.8984 loss_bbox: 0.2538 loss_mask: 0.2579 2024/01/13 16:27:27 - mmengine - INFO - Epoch(train) [2][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:51:24 time: 1.1937 data_time: 0.0593 memory: 14417 loss: 0.8558 loss_rpn_cls: 0.0366 loss_rpn_bbox: 0.0570 loss_cls: 0.2494 acc: 94.7266 loss_bbox: 0.2678 loss_mask: 0.2450 2024/01/13 16:28:27 - mmengine - INFO - Epoch(train) [2][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:50:27 time: 1.2078 data_time: 0.0628 memory: 14355 loss: 0.8325 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0501 loss_cls: 0.2288 acc: 81.2500 loss_bbox: 0.2832 loss_mask: 0.2440 2024/01/13 16:29:27 - mmengine - INFO - Epoch(train) [2][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:49:25 time: 1.1876 data_time: 0.0538 memory: 14168 loss: 0.6971 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0431 loss_cls: 0.1829 acc: 98.2422 loss_bbox: 0.2185 loss_mask: 0.2323 2024/01/13 16:30:26 - mmengine - INFO - Epoch(train) [2][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:48:19 time: 1.1775 data_time: 0.0563 memory: 14020 loss: 0.8192 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0497 loss_cls: 0.2179 acc: 89.0625 loss_bbox: 0.2803 loss_mask: 0.2448 2024/01/13 16:31:26 - mmengine - INFO - Epoch(train) [2][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:47:20 time: 1.1976 data_time: 0.0691 memory: 14008 loss: 0.7501 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0437 loss_cls: 0.2102 acc: 99.6094 loss_bbox: 0.2469 loss_mask: 0.2250 2024/01/13 16:32:25 - mmengine - INFO - Epoch(train) [2][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:46:20 time: 1.1981 data_time: 0.0544 memory: 14954 loss: 0.7929 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0494 loss_cls: 0.2104 acc: 96.6797 loss_bbox: 0.2564 loss_mask: 0.2475 2024/01/13 16:33:25 - mmengine - INFO - Epoch(train) [2][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:45:21 time: 1.1968 data_time: 0.0416 memory: 14472 loss: 0.6702 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0383 loss_cls: 0.1728 acc: 88.4766 loss_bbox: 0.2140 loss_mask: 0.2268 2024/01/13 16:34:26 - mmengine - INFO - Epoch(train) [2][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:44:28 time: 1.2233 data_time: 0.0501 memory: 14954 loss: 0.7030 loss_rpn_cls: 0.0315 loss_rpn_bbox: 0.0341 loss_cls: 0.2031 acc: 90.0391 loss_bbox: 0.2156 loss_mask: 0.2186 2024/01/13 16:35:27 - mmengine - INFO - Epoch(train) [2][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:43:34 time: 1.2181 data_time: 0.0570 memory: 14232 loss: 0.7818 loss_rpn_cls: 0.0327 loss_rpn_bbox: 0.0627 loss_cls: 0.2095 acc: 93.1641 loss_bbox: 0.2561 loss_mask: 0.2208 2024/01/13 16:36:26 - mmengine - INFO - Epoch(train) [2][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:42:28 time: 1.1746 data_time: 0.0389 memory: 13952 loss: 0.6341 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0389 loss_cls: 0.1692 acc: 98.0469 loss_bbox: 0.1870 loss_mask: 0.2164 2024/01/13 16:37:25 - mmengine - INFO - Epoch(train) [2][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:41:26 time: 1.1876 data_time: 0.0504 memory: 14472 loss: 0.8768 loss_rpn_cls: 0.0340 loss_rpn_bbox: 0.0603 loss_cls: 0.2524 acc: 99.0234 loss_bbox: 0.2820 loss_mask: 0.2481 2024/01/13 16:38:24 - mmengine - INFO - Epoch(train) [2][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:40:19 time: 1.1716 data_time: 0.0502 memory: 14472 loss: 0.7443 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0424 loss_cls: 0.2000 acc: 95.7031 loss_bbox: 0.2553 loss_mask: 0.2281 2024/01/13 16:39:24 - mmengine - INFO - Epoch(train) [2][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:39:21 time: 1.2021 data_time: 0.0617 memory: 14469 loss: 0.7686 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0420 loss_cls: 0.2070 acc: 91.2109 loss_bbox: 0.2570 loss_mask: 0.2339 2024/01/13 16:40:24 - mmengine - INFO - Epoch(train) [2][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:38:22 time: 1.2006 data_time: 0.0587 memory: 13771 loss: 0.8094 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0527 loss_cls: 0.2094 acc: 97.4609 loss_bbox: 0.2725 loss_mask: 0.2439 2024/01/13 16:41:24 - mmengine - INFO - Epoch(train) [2][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:37:24 time: 1.2016 data_time: 0.0583 memory: 13952 loss: 0.7694 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0482 loss_cls: 0.2030 acc: 97.2656 loss_bbox: 0.2457 loss_mask: 0.2438 2024/01/13 16:42:25 - mmengine - INFO - Epoch(train) [2][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:36:30 time: 1.2204 data_time: 0.0709 memory: 14951 loss: 0.8666 loss_rpn_cls: 0.0306 loss_rpn_bbox: 0.0485 loss_cls: 0.2351 acc: 98.8281 loss_bbox: 0.3071 loss_mask: 0.2453 2024/01/13 16:43:25 - mmengine - INFO - Epoch(train) [2][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:35:29 time: 1.1906 data_time: 0.0565 memory: 14954 loss: 0.7455 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0451 loss_cls: 0.2010 acc: 99.2188 loss_bbox: 0.2422 loss_mask: 0.2338 2024/01/13 16:43:49 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 16:44:25 - mmengine - INFO - Epoch(train) [2][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:34:30 time: 1.1990 data_time: 0.0609 memory: 14469 loss: 0.8031 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0430 loss_cls: 0.2313 acc: 97.4609 loss_bbox: 0.2743 loss_mask: 0.2293 2024/01/13 16:45:24 - mmengine - INFO - Epoch(train) [2][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:33:29 time: 1.1937 data_time: 0.0559 memory: 14836 loss: 0.8412 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0519 loss_cls: 0.2489 acc: 98.4375 loss_bbox: 0.2740 loss_mask: 0.2403 2024/01/13 16:46:25 - mmengine - INFO - Epoch(train) [2][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:32:31 time: 1.2032 data_time: 0.0572 memory: 14472 loss: 0.8661 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0576 loss_cls: 0.2296 acc: 94.5312 loss_bbox: 0.2849 loss_mask: 0.2679 2024/01/13 16:47:24 - mmengine - INFO - Epoch(train) [2][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:31:30 time: 1.1917 data_time: 0.0576 memory: 14754 loss: 0.7146 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0404 loss_cls: 0.1826 acc: 88.2812 loss_bbox: 0.2472 loss_mask: 0.2245 2024/01/13 16:48:24 - mmengine - INFO - Epoch(train) [2][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:30:31 time: 1.1994 data_time: 0.0660 memory: 14362 loss: 0.8075 loss_rpn_cls: 0.0377 loss_rpn_bbox: 0.0536 loss_cls: 0.2187 acc: 95.8984 loss_bbox: 0.2580 loss_mask: 0.2394 2024/01/13 16:49:24 - mmengine - INFO - Epoch(train) [2][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:29:33 time: 1.2034 data_time: 0.0597 memory: 14332 loss: 0.8288 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0488 loss_cls: 0.2067 acc: 95.7031 loss_bbox: 0.2964 loss_mask: 0.2526 2024/01/13 16:50:24 - mmengine - INFO - Epoch(train) [2][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:28:34 time: 1.2020 data_time: 0.0555 memory: 14950 loss: 0.8232 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0458 loss_cls: 0.2305 acc: 86.7188 loss_bbox: 0.2917 loss_mask: 0.2368 2024/01/13 16:51:24 - mmengine - INFO - Epoch(train) [2][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:27:34 time: 1.1954 data_time: 0.0593 memory: 14469 loss: 0.8363 loss_rpn_cls: 0.0377 loss_rpn_bbox: 0.0581 loss_cls: 0.2343 acc: 95.3125 loss_bbox: 0.2648 loss_mask: 0.2414 2024/01/13 16:52:23 - mmengine - INFO - Epoch(train) [2][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:26:29 time: 1.1769 data_time: 0.0564 memory: 14954 loss: 0.6436 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0378 loss_cls: 0.1753 acc: 93.7500 loss_bbox: 0.2044 loss_mask: 0.2083 2024/01/13 16:53:23 - mmengine - INFO - Epoch(train) [2][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:25:28 time: 1.1910 data_time: 0.0617 memory: 14658 loss: 0.8878 loss_rpn_cls: 0.0405 loss_rpn_bbox: 0.0586 loss_cls: 0.2441 acc: 80.6641 loss_bbox: 0.2842 loss_mask: 0.2603 2024/01/13 16:54:23 - mmengine - INFO - Epoch(train) [2][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:24:30 time: 1.2059 data_time: 0.0631 memory: 14328 loss: 0.8731 loss_rpn_cls: 0.0403 loss_rpn_bbox: 0.0608 loss_cls: 0.2451 acc: 96.8750 loss_bbox: 0.2753 loss_mask: 0.2516 2024/01/13 16:55:23 - mmengine - INFO - Epoch(train) [2][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:23:32 time: 1.2028 data_time: 0.0543 memory: 14472 loss: 0.7421 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0450 loss_cls: 0.2048 acc: 84.7656 loss_bbox: 0.2278 loss_mask: 0.2423 2024/01/13 16:56:23 - mmengine - INFO - Epoch(train) [2][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:22:31 time: 1.1929 data_time: 0.0611 memory: 13771 loss: 0.7000 loss_rpn_cls: 0.0335 loss_rpn_bbox: 0.0386 loss_cls: 0.1870 acc: 96.8750 loss_bbox: 0.2108 loss_mask: 0.2300 2024/01/13 16:56:58 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 16:56:58 - mmengine - INFO - Saving checkpoint at 2 epochs 2024/01/13 16:57:17 - mmengine - INFO - Epoch(val) [2][ 50/313] eta: 0:01:08 time: 0.2608 data_time: 0.0404 memory: 14472 2024/01/13 16:57:28 - mmengine - INFO - Epoch(val) [2][100/313] eta: 0:00:52 time: 0.2314 data_time: 0.0200 memory: 3311 2024/01/13 16:57:40 - mmengine - INFO - Epoch(val) [2][150/313] eta: 0:00:39 time: 0.2315 data_time: 0.0218 memory: 3368 2024/01/13 16:57:52 - mmengine - INFO - Epoch(val) [2][200/313] eta: 0:00:27 time: 0.2423 data_time: 0.0282 memory: 3331 2024/01/13 16:58:04 - mmengine - INFO - Epoch(val) [2][250/313] eta: 0:00:15 time: 0.2365 data_time: 0.0288 memory: 3368 2024/01/13 16:58:16 - mmengine - INFO - Epoch(val) [2][300/313] eta: 0:00:03 time: 0.2415 data_time: 0.0300 memory: 3331 2024/01/13 16:58:28 - mmengine - INFO - Evaluating bbox... 2024/01/13 16:58:58 - mmengine - INFO - bbox_mAP_copypaste: 0.418 0.657 0.459 0.253 0.459 0.557 2024/01/13 16:58:58 - mmengine - INFO - Evaluating segm... 2024/01/13 16:59:31 - mmengine - INFO - segm_mAP_copypaste: 0.386 0.622 0.410 0.190 0.420 0.572 2024/01/13 16:59:32 - mmengine - INFO - Epoch(val) [2][313/313] coco/bbox_mAP: 0.4180 coco/bbox_mAP_50: 0.6570 coco/bbox_mAP_75: 0.4590 coco/bbox_mAP_s: 0.2530 coco/bbox_mAP_m: 0.4590 coco/bbox_mAP_l: 0.5570 coco/segm_mAP: 0.3860 coco/segm_mAP_50: 0.6220 coco/segm_mAP_75: 0.4100 coco/segm_mAP_s: 0.1900 coco/segm_mAP_m: 0.4200 coco/segm_mAP_l: 0.5720 data_time: 0.0272 time: 0.2392 2024/01/13 17:00:32 - mmengine - INFO - Epoch(train) [3][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:20:56 time: 1.2037 data_time: 0.0536 memory: 13771 loss: 0.7273 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0515 loss_cls: 0.1913 acc: 99.0234 loss_bbox: 0.2361 loss_mask: 0.2248 2024/01/13 17:01:31 - mmengine - INFO - Epoch(train) [3][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:19:54 time: 1.1851 data_time: 0.0544 memory: 13771 loss: 0.7594 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0510 loss_cls: 0.1960 acc: 87.3047 loss_bbox: 0.2660 loss_mask: 0.2285 2024/01/13 17:02:31 - mmengine - INFO - Epoch(train) [3][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:18:54 time: 1.1988 data_time: 0.0624 memory: 13771 loss: 0.7376 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0487 loss_cls: 0.1802 acc: 94.1406 loss_bbox: 0.2607 loss_mask: 0.2245 2024/01/13 17:03:31 - mmengine - INFO - Epoch(train) [3][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:17:55 time: 1.2002 data_time: 0.0495 memory: 13771 loss: 0.6028 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0330 loss_cls: 0.1502 acc: 95.7031 loss_bbox: 0.2002 loss_mask: 0.2047 2024/01/13 17:04:30 - mmengine - INFO - Epoch(train) [3][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:16:52 time: 1.1798 data_time: 0.0555 memory: 14658 loss: 0.7491 loss_rpn_cls: 0.0305 loss_rpn_bbox: 0.0384 loss_cls: 0.1970 acc: 84.9609 loss_bbox: 0.2482 loss_mask: 0.2350 2024/01/13 17:05:29 - mmengine - INFO - Epoch(train) [3][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:15:48 time: 1.1817 data_time: 0.0494 memory: 14033 loss: 0.5994 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0347 loss_cls: 0.1441 acc: 99.0234 loss_bbox: 0.1929 loss_mask: 0.2115 2024/01/13 17:06:17 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 17:06:29 - mmengine - INFO - Epoch(train) [3][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:14:50 time: 1.2024 data_time: 0.0573 memory: 14224 loss: 0.7749 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0495 loss_cls: 0.2021 acc: 91.0156 loss_bbox: 0.2644 loss_mask: 0.2371 2024/01/13 17:07:29 - mmengine - INFO - Epoch(train) [3][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:13:50 time: 1.1989 data_time: 0.0610 memory: 14425 loss: 0.8012 loss_rpn_cls: 0.0291 loss_rpn_bbox: 0.0426 loss_cls: 0.2102 acc: 100.0000 loss_bbox: 0.2802 loss_mask: 0.2392 2024/01/13 17:08:29 - mmengine - INFO - Epoch(train) [3][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:12:51 time: 1.1966 data_time: 0.0637 memory: 14954 loss: 0.7761 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0531 loss_cls: 0.1971 acc: 85.9375 loss_bbox: 0.2673 loss_mask: 0.2353 2024/01/13 17:09:28 - mmengine - INFO - Epoch(train) [3][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:11:47 time: 1.1792 data_time: 0.0584 memory: 14532 loss: 0.7798 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0499 loss_cls: 0.2062 acc: 81.2500 loss_bbox: 0.2651 loss_mask: 0.2337 2024/01/13 17:10:28 - mmengine - INFO - Epoch(train) [3][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:10:49 time: 1.2052 data_time: 0.0565 memory: 14954 loss: 0.7291 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0438 loss_cls: 0.1825 acc: 86.3281 loss_bbox: 0.2535 loss_mask: 0.2293 2024/01/13 17:11:28 - mmengine - INFO - Epoch(train) [3][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:09:50 time: 1.2015 data_time: 0.0564 memory: 14515 loss: 0.7223 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0445 loss_cls: 0.1872 acc: 95.7031 loss_bbox: 0.2475 loss_mask: 0.2203 2024/01/13 17:12:29 - mmengine - INFO - Epoch(train) [3][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:08:51 time: 1.2014 data_time: 0.0524 memory: 13811 loss: 0.7256 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0444 loss_cls: 0.1953 acc: 97.6562 loss_bbox: 0.2420 loss_mask: 0.2226 2024/01/13 17:13:28 - mmengine - INFO - Epoch(train) [3][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:07:48 time: 1.1809 data_time: 0.0583 memory: 14423 loss: 0.8284 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0506 loss_cls: 0.1977 acc: 95.5078 loss_bbox: 0.2901 loss_mask: 0.2640 2024/01/13 17:14:28 - mmengine - INFO - Epoch(train) [3][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:06:49 time: 1.1992 data_time: 0.0570 memory: 14954 loss: 0.6857 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0413 loss_cls: 0.1676 acc: 99.0234 loss_bbox: 0.2272 loss_mask: 0.2282 2024/01/13 17:15:27 - mmengine - INFO - Epoch(train) [3][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:05:47 time: 1.1896 data_time: 0.0570 memory: 14435 loss: 0.7483 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0423 loss_cls: 0.1977 acc: 95.3125 loss_bbox: 0.2594 loss_mask: 0.2342 2024/01/13 17:16:27 - mmengine - INFO - Epoch(train) [3][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:04:48 time: 1.1987 data_time: 0.0507 memory: 14954 loss: 0.6950 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0406 loss_cls: 0.1772 acc: 89.2578 loss_bbox: 0.2363 loss_mask: 0.2247 2024/01/13 17:17:27 - mmengine - INFO - Epoch(train) [3][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:03:49 time: 1.1990 data_time: 0.0568 memory: 14160 loss: 0.7930 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0497 loss_cls: 0.2160 acc: 87.8906 loss_bbox: 0.2698 loss_mask: 0.2325 2024/01/13 17:18:28 - mmengine - INFO - Epoch(train) [3][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:02:56 time: 1.2267 data_time: 0.0600 memory: 14954 loss: 0.8030 loss_rpn_cls: 0.0373 loss_rpn_bbox: 0.0448 loss_cls: 0.2210 acc: 98.4375 loss_bbox: 0.2687 loss_mask: 0.2311 2024/01/13 17:19:28 - mmengine - INFO - Epoch(train) [3][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:01:54 time: 1.1881 data_time: 0.0701 memory: 13771 loss: 0.8173 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0518 loss_cls: 0.2233 acc: 93.9453 loss_bbox: 0.2760 loss_mask: 0.2378 2024/01/13 17:20:26 - mmengine - INFO - Epoch(train) [3][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:00:48 time: 1.1709 data_time: 0.0637 memory: 14009 loss: 0.7410 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0544 loss_cls: 0.1971 acc: 89.6484 loss_bbox: 0.2375 loss_mask: 0.2219 2024/01/13 17:21:26 - mmengine - INFO - Epoch(train) [3][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:59:47 time: 1.1910 data_time: 0.0553 memory: 14218 loss: 0.7576 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0551 loss_cls: 0.1907 acc: 94.7266 loss_bbox: 0.2542 loss_mask: 0.2283 2024/01/13 17:22:26 - mmengine - INFO - Epoch(train) [3][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:58:51 time: 1.2105 data_time: 0.0548 memory: 13952 loss: 0.7161 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0494 loss_cls: 0.1836 acc: 98.6328 loss_bbox: 0.2351 loss_mask: 0.2253 2024/01/13 17:23:27 - mmengine - INFO - Epoch(train) [3][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:57:54 time: 1.2095 data_time: 0.0533 memory: 14595 loss: 0.6884 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0439 loss_cls: 0.1786 acc: 85.1562 loss_bbox: 0.2346 loss_mask: 0.2097 2024/01/13 17:24:27 - mmengine - INFO - Epoch(train) [3][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:56:55 time: 1.2030 data_time: 0.0703 memory: 14658 loss: 0.7806 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0473 loss_cls: 0.2049 acc: 99.6094 loss_bbox: 0.2508 loss_mask: 0.2526 2024/01/13 17:25:27 - mmengine - INFO - Epoch(train) [3][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:55:58 time: 1.2064 data_time: 0.0599 memory: 13952 loss: 0.7226 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0394 loss_cls: 0.1813 acc: 91.9922 loss_bbox: 0.2561 loss_mask: 0.2279 2024/01/13 17:26:15 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 17:26:27 - mmengine - INFO - Epoch(train) [3][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:54:56 time: 1.1895 data_time: 0.0559 memory: 14472 loss: 0.6957 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0450 loss_cls: 0.1794 acc: 94.1406 loss_bbox: 0.2338 loss_mask: 0.2154 2024/01/13 17:27:26 - mmengine - INFO - Epoch(train) [3][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:53:55 time: 1.1894 data_time: 0.0623 memory: 14953 loss: 0.8282 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0577 loss_cls: 0.2105 acc: 97.4609 loss_bbox: 0.2940 loss_mask: 0.2396 2024/01/13 17:28:26 - mmengine - INFO - Epoch(train) [3][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:52:54 time: 1.1923 data_time: 0.0603 memory: 14021 loss: 0.7168 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0462 loss_cls: 0.1757 acc: 93.1641 loss_bbox: 0.2527 loss_mask: 0.2251 2024/01/13 17:29:26 - mmengine - INFO - Epoch(train) [3][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:51:56 time: 1.2065 data_time: 0.0629 memory: 14631 loss: 0.7525 loss_rpn_cls: 0.0285 loss_rpn_bbox: 0.0477 loss_cls: 0.1970 acc: 97.2656 loss_bbox: 0.2577 loss_mask: 0.2217 2024/01/13 17:30:26 - mmengine - INFO - Epoch(train) [3][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:50:57 time: 1.1996 data_time: 0.0673 memory: 14951 loss: 0.8274 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0479 loss_cls: 0.2214 acc: 95.7031 loss_bbox: 0.2891 loss_mask: 0.2414 2024/01/13 17:31:26 - mmengine - INFO - Epoch(train) [3][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:50:00 time: 1.2059 data_time: 0.0613 memory: 14954 loss: 0.8346 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0553 loss_cls: 0.2341 acc: 92.9688 loss_bbox: 0.2871 loss_mask: 0.2318 2024/01/13 17:32:26 - mmengine - INFO - Epoch(train) [3][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:49:01 time: 1.2014 data_time: 0.0579 memory: 14317 loss: 0.7882 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0620 loss_cls: 0.2110 acc: 92.5781 loss_bbox: 0.2622 loss_mask: 0.2302 2024/01/13 17:33:25 - mmengine - INFO - Epoch(train) [3][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:47:57 time: 1.1799 data_time: 0.0501 memory: 14954 loss: 0.6608 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0438 loss_cls: 0.1590 acc: 94.1406 loss_bbox: 0.2141 loss_mask: 0.2265 2024/01/13 17:34:26 - mmengine - INFO - Epoch(train) [3][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:47:00 time: 1.2082 data_time: 0.0538 memory: 14472 loss: 0.7430 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0517 loss_cls: 0.2067 acc: 74.2188 loss_bbox: 0.2369 loss_mask: 0.2243 2024/01/13 17:35:25 - mmengine - INFO - Epoch(train) [3][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:45:55 time: 1.1744 data_time: 0.0473 memory: 14134 loss: 0.6197 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0362 loss_cls: 0.1558 acc: 91.9922 loss_bbox: 0.2098 loss_mask: 0.2016 2024/01/13 17:36:24 - mmengine - INFO - Epoch(train) [3][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:44:54 time: 1.1882 data_time: 0.0550 memory: 14954 loss: 0.7096 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0378 loss_cls: 0.1897 acc: 95.7031 loss_bbox: 0.2425 loss_mask: 0.2149 2024/01/13 17:37:24 - mmengine - INFO - Epoch(train) [3][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:43:55 time: 1.2018 data_time: 0.0625 memory: 14472 loss: 0.7245 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0481 loss_cls: 0.2043 acc: 98.6328 loss_bbox: 0.2346 loss_mask: 0.2140 2024/01/13 17:38:24 - mmengine - INFO - Epoch(train) [3][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:42:55 time: 1.1948 data_time: 0.0600 memory: 14954 loss: 0.7472 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0407 loss_cls: 0.1939 acc: 97.2656 loss_bbox: 0.2514 loss_mask: 0.2350 2024/01/13 17:39:24 - mmengine - INFO - Epoch(train) [3][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:41:55 time: 1.1956 data_time: 0.0560 memory: 14423 loss: 0.8385 loss_rpn_cls: 0.0306 loss_rpn_bbox: 0.0544 loss_cls: 0.2213 acc: 97.4609 loss_bbox: 0.2936 loss_mask: 0.2386 2024/01/13 17:40:23 - mmengine - INFO - Epoch(train) [3][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:40:54 time: 1.1923 data_time: 0.0590 memory: 14359 loss: 0.7411 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0371 loss_cls: 0.2117 acc: 95.3125 loss_bbox: 0.2459 loss_mask: 0.2255 2024/01/13 17:41:24 - mmengine - INFO - Epoch(train) [3][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:39:56 time: 1.2077 data_time: 0.0592 memory: 14472 loss: 0.6665 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0436 loss_cls: 0.1910 acc: 95.1172 loss_bbox: 0.2150 loss_mask: 0.1990 2024/01/13 17:42:23 - mmengine - INFO - Epoch(train) [3][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:38:53 time: 1.1791 data_time: 0.0595 memory: 13952 loss: 0.6845 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0396 loss_cls: 0.1790 acc: 99.2188 loss_bbox: 0.2282 loss_mask: 0.2151 2024/01/13 17:43:23 - mmengine - INFO - Epoch(train) [3][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:37:55 time: 1.2041 data_time: 0.0548 memory: 14954 loss: 0.7537 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0452 loss_cls: 0.2113 acc: 92.1875 loss_bbox: 0.2464 loss_mask: 0.2256 2024/01/13 17:44:23 - mmengine - INFO - Epoch(train) [3][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:36:58 time: 1.2124 data_time: 0.0472 memory: 14598 loss: 0.5546 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0311 loss_cls: 0.1313 acc: 98.0469 loss_bbox: 0.1888 loss_mask: 0.1915 2024/01/13 17:45:23 - mmengine - INFO - Epoch(train) [3][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:35:56 time: 1.1871 data_time: 0.0585 memory: 14328 loss: 0.8129 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0489 loss_cls: 0.2186 acc: 91.6016 loss_bbox: 0.2871 loss_mask: 0.2321 2024/01/13 17:46:11 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 17:46:23 - mmengine - INFO - Epoch(train) [3][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:34:57 time: 1.1982 data_time: 0.0501 memory: 14134 loss: 0.6553 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0430 loss_cls: 0.1601 acc: 94.1406 loss_bbox: 0.2290 loss_mask: 0.2068 2024/01/13 17:47:22 - mmengine - INFO - Epoch(train) [3][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:33:56 time: 1.1898 data_time: 0.0481 memory: 14292 loss: 0.6035 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0332 loss_cls: 0.1487 acc: 93.1641 loss_bbox: 0.1985 loss_mask: 0.2058 2024/01/13 17:48:22 - mmengine - INFO - Epoch(train) [3][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:32:54 time: 1.1896 data_time: 0.0531 memory: 13771 loss: 0.7555 loss_rpn_cls: 0.0295 loss_rpn_bbox: 0.0451 loss_cls: 0.2107 acc: 94.7266 loss_bbox: 0.2499 loss_mask: 0.2203 2024/01/13 17:49:21 - mmengine - INFO - Epoch(train) [3][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:31:52 time: 1.1854 data_time: 0.0573 memory: 14658 loss: 0.7160 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0384 loss_cls: 0.1825 acc: 92.7734 loss_bbox: 0.2368 loss_mask: 0.2419 2024/01/13 17:50:21 - mmengine - INFO - Epoch(train) [3][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:30:52 time: 1.1951 data_time: 0.0536 memory: 14508 loss: 0.7366 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0484 loss_cls: 0.1895 acc: 83.5938 loss_bbox: 0.2528 loss_mask: 0.2244 2024/01/13 17:51:21 - mmengine - INFO - Epoch(train) [3][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:29:55 time: 1.2106 data_time: 0.0644 memory: 14954 loss: 0.7320 loss_rpn_cls: 0.0319 loss_rpn_bbox: 0.0443 loss_cls: 0.1786 acc: 98.4375 loss_bbox: 0.2557 loss_mask: 0.2214 2024/01/13 17:52:21 - mmengine - INFO - Epoch(train) [3][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:28:55 time: 1.1955 data_time: 0.0530 memory: 14472 loss: 0.7612 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0431 loss_cls: 0.2011 acc: 97.6562 loss_bbox: 0.2496 loss_mask: 0.2408 2024/01/13 17:53:21 - mmengine - INFO - Epoch(train) [3][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:27:56 time: 1.1994 data_time: 0.0520 memory: 14514 loss: 0.7432 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0440 loss_cls: 0.1909 acc: 94.1406 loss_bbox: 0.2532 loss_mask: 0.2260 2024/01/13 17:54:21 - mmengine - INFO - Epoch(train) [3][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:26:55 time: 1.1931 data_time: 0.0538 memory: 14328 loss: 0.7296 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0426 loss_cls: 0.1943 acc: 84.1797 loss_bbox: 0.2514 loss_mask: 0.2209 2024/01/13 17:55:20 - mmengine - INFO - Epoch(train) [3][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:25:54 time: 1.1880 data_time: 0.0492 memory: 14031 loss: 0.7675 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0393 loss_cls: 0.2049 acc: 94.3359 loss_bbox: 0.2591 loss_mask: 0.2393 2024/01/13 17:56:20 - mmengine - INFO - Epoch(train) [3][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:24:53 time: 1.1918 data_time: 0.0554 memory: 14134 loss: 0.8329 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0593 loss_cls: 0.2230 acc: 81.6406 loss_bbox: 0.2774 loss_mask: 0.2439 2024/01/13 17:57:19 - mmengine - INFO - Epoch(train) [3][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:23:53 time: 1.1936 data_time: 0.0643 memory: 14469 loss: 0.7532 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0398 loss_cls: 0.2064 acc: 90.8203 loss_bbox: 0.2583 loss_mask: 0.2298 2024/01/13 17:58:19 - mmengine - INFO - Epoch(train) [3][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:22:51 time: 1.1895 data_time: 0.0578 memory: 13952 loss: 0.6981 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0505 loss_cls: 0.1660 acc: 100.0000 loss_bbox: 0.2263 loss_mask: 0.2299 2024/01/13 17:59:19 - mmengine - INFO - Epoch(train) [3][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:21:53 time: 1.2030 data_time: 0.0554 memory: 14914 loss: 0.7360 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0517 loss_cls: 0.1970 acc: 99.0234 loss_bbox: 0.2432 loss_mask: 0.2239 2024/01/13 18:00:19 - mmengine - INFO - Epoch(train) [3][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:20:52 time: 1.1915 data_time: 0.0570 memory: 13771 loss: 0.6656 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0401 loss_cls: 0.1707 acc: 80.8594 loss_bbox: 0.2212 loss_mask: 0.2137 2024/01/13 18:01:19 - mmengine - INFO - Epoch(train) [3][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:19:55 time: 1.2099 data_time: 0.0630 memory: 13922 loss: 0.7015 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0491 loss_cls: 0.1832 acc: 99.8047 loss_bbox: 0.2377 loss_mask: 0.2093 2024/01/13 18:02:19 - mmengine - INFO - Epoch(train) [3][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:18:54 time: 1.1934 data_time: 0.0691 memory: 13771 loss: 0.8629 loss_rpn_cls: 0.0321 loss_rpn_bbox: 0.0643 loss_cls: 0.2365 acc: 91.6016 loss_bbox: 0.2987 loss_mask: 0.2312 2024/01/13 18:03:18 - mmengine - INFO - Epoch(train) [3][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:17:51 time: 1.1795 data_time: 0.0504 memory: 14951 loss: 0.6985 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0347 loss_cls: 0.1824 acc: 91.4062 loss_bbox: 0.2376 loss_mask: 0.2254 2024/01/13 18:04:18 - mmengine - INFO - Epoch(train) [3][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:16:52 time: 1.2016 data_time: 0.0594 memory: 14469 loss: 0.7900 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0479 loss_cls: 0.2156 acc: 93.5547 loss_bbox: 0.2752 loss_mask: 0.2306 2024/01/13 18:05:17 - mmengine - INFO - Epoch(train) [3][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:15:50 time: 1.1808 data_time: 0.0616 memory: 14472 loss: 0.8334 loss_rpn_cls: 0.0338 loss_rpn_bbox: 0.0510 loss_cls: 0.2265 acc: 94.3359 loss_bbox: 0.2785 loss_mask: 0.2434 2024/01/13 18:06:04 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 18:06:16 - mmengine - INFO - Epoch(train) [3][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:14:47 time: 1.1811 data_time: 0.0578 memory: 14472 loss: 0.7739 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0465 loss_cls: 0.2197 acc: 90.8203 loss_bbox: 0.2607 loss_mask: 0.2209 2024/01/13 18:07:16 - mmengine - INFO - Epoch(train) [3][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:13:48 time: 1.2013 data_time: 0.0586 memory: 14472 loss: 0.7507 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0484 loss_cls: 0.2136 acc: 91.2109 loss_bbox: 0.2617 loss_mask: 0.2046 2024/01/13 18:08:16 - mmengine - INFO - Epoch(train) [3][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:12:50 time: 1.2049 data_time: 0.0474 memory: 14954 loss: 0.6562 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0375 loss_cls: 0.1682 acc: 96.6797 loss_bbox: 0.2102 loss_mask: 0.2182 2024/01/13 18:09:16 - mmengine - INFO - Epoch(train) [3][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:11:49 time: 1.1916 data_time: 0.0539 memory: 14245 loss: 0.7499 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0368 loss_cls: 0.1985 acc: 92.9688 loss_bbox: 0.2601 loss_mask: 0.2335 2024/01/13 18:10:15 - mmengine - INFO - Epoch(train) [3][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:10:46 time: 1.1824 data_time: 0.0598 memory: 14423 loss: 0.7827 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0508 loss_cls: 0.2089 acc: 96.2891 loss_bbox: 0.2519 loss_mask: 0.2492 2024/01/13 18:11:15 - mmengine - INFO - Epoch(train) [3][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:09:48 time: 1.2033 data_time: 0.0554 memory: 14472 loss: 0.7023 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0506 loss_cls: 0.1874 acc: 85.7422 loss_bbox: 0.2295 loss_mask: 0.2086 2024/01/13 18:12:15 - mmengine - INFO - Epoch(train) [3][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:08:48 time: 1.1962 data_time: 0.0600 memory: 14134 loss: 0.6603 loss_rpn_cls: 0.0299 loss_rpn_bbox: 0.0507 loss_cls: 0.1607 acc: 93.9453 loss_bbox: 0.2064 loss_mask: 0.2125 2024/01/13 18:13:15 - mmengine - INFO - Epoch(train) [3][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:07:48 time: 1.1952 data_time: 0.0472 memory: 14134 loss: 0.7031 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0329 loss_cls: 0.1973 acc: 96.4844 loss_bbox: 0.2428 loss_mask: 0.2072 2024/01/13 18:14:14 - mmengine - INFO - Epoch(train) [3][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:06:47 time: 1.1901 data_time: 0.0675 memory: 14951 loss: 0.7724 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0450 loss_cls: 0.1951 acc: 98.0469 loss_bbox: 0.2615 loss_mask: 0.2445 2024/01/13 18:15:14 - mmengine - INFO - Epoch(train) [3][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:05:48 time: 1.1994 data_time: 0.0547 memory: 14423 loss: 0.6798 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0389 loss_cls: 0.1742 acc: 91.4062 loss_bbox: 0.2305 loss_mask: 0.2164 2024/01/13 18:16:15 - mmengine - INFO - Epoch(train) [3][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:04:54 time: 1.2258 data_time: 0.0612 memory: 14472 loss: 0.7913 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0492 loss_cls: 0.2107 acc: 94.9219 loss_bbox: 0.2782 loss_mask: 0.2353 2024/01/13 18:17:15 - mmengine - INFO - Epoch(train) [3][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:03:55 time: 1.2008 data_time: 0.0485 memory: 14499 loss: 0.6603 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0449 loss_cls: 0.1646 acc: 96.6797 loss_bbox: 0.2178 loss_mask: 0.2144 2024/01/13 18:18:15 - mmengine - INFO - Epoch(train) [3][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:02:52 time: 1.1837 data_time: 0.0438 memory: 14077 loss: 0.5940 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0246 loss_cls: 0.1588 acc: 77.3438 loss_bbox: 0.2004 loss_mask: 0.1981 2024/01/13 18:19:14 - mmengine - INFO - Epoch(train) [3][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:01:51 time: 1.1901 data_time: 0.0484 memory: 14954 loss: 0.6330 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0380 loss_cls: 0.1618 acc: 99.8047 loss_bbox: 0.1955 loss_mask: 0.2169 2024/01/13 18:20:14 - mmengine - INFO - Epoch(train) [3][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:00:51 time: 1.1943 data_time: 0.0440 memory: 14954 loss: 0.6406 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0348 loss_cls: 0.1699 acc: 95.1172 loss_bbox: 0.2204 loss_mask: 0.1966 2024/01/13 18:21:14 - mmengine - INFO - Epoch(train) [3][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:59:51 time: 1.1958 data_time: 0.0529 memory: 14472 loss: 0.6205 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0386 loss_cls: 0.1546 acc: 98.0469 loss_bbox: 0.1945 loss_mask: 0.2078 2024/01/13 18:22:13 - mmengine - INFO - Epoch(train) [3][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:58:50 time: 1.1878 data_time: 0.0581 memory: 13952 loss: 0.6952 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0397 loss_cls: 0.1805 acc: 97.2656 loss_bbox: 0.2339 loss_mask: 0.2206 2024/01/13 18:23:13 - mmengine - INFO - Epoch(train) [3][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:57:49 time: 1.1913 data_time: 0.0607 memory: 14727 loss: 0.7216 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0526 loss_cls: 0.1915 acc: 91.0156 loss_bbox: 0.2436 loss_mask: 0.2045 2024/01/13 18:24:13 - mmengine - INFO - Epoch(train) [3][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:56:51 time: 1.2085 data_time: 0.0540 memory: 14854 loss: 0.7763 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0454 loss_cls: 0.2050 acc: 95.3125 loss_bbox: 0.2647 loss_mask: 0.2384 2024/01/13 18:25:13 - mmengine - INFO - Epoch(train) [3][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:55:51 time: 1.1948 data_time: 0.0495 memory: 14041 loss: 0.6923 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0367 loss_cls: 0.1829 acc: 94.1406 loss_bbox: 0.2450 loss_mask: 0.2081 2024/01/13 18:26:01 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 18:26:13 - mmengine - INFO - Epoch(train) [3][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:54:54 time: 1.2123 data_time: 0.0533 memory: 14658 loss: 0.7312 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0402 loss_cls: 0.1974 acc: 98.2422 loss_bbox: 0.2413 loss_mask: 0.2317 2024/01/13 18:27:14 - mmengine - INFO - Epoch(train) [3][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:53:57 time: 1.2110 data_time: 0.0685 memory: 14279 loss: 0.7631 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0526 loss_cls: 0.2017 acc: 99.0234 loss_bbox: 0.2523 loss_mask: 0.2341 2024/01/13 18:28:14 - mmengine - INFO - Epoch(train) [3][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:53:00 time: 1.2096 data_time: 0.0605 memory: 14954 loss: 0.6822 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0422 loss_cls: 0.1785 acc: 81.2500 loss_bbox: 0.2301 loss_mask: 0.2106 2024/01/13 18:29:14 - mmengine - INFO - Epoch(train) [3][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:51:58 time: 1.1853 data_time: 0.0633 memory: 14422 loss: 0.7941 loss_rpn_cls: 0.0312 loss_rpn_bbox: 0.0546 loss_cls: 0.2087 acc: 95.3125 loss_bbox: 0.2759 loss_mask: 0.2237 2024/01/13 18:30:13 - mmengine - INFO - Epoch(train) [3][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:50:57 time: 1.1886 data_time: 0.0671 memory: 13771 loss: 0.8303 loss_rpn_cls: 0.0298 loss_rpn_bbox: 0.0550 loss_cls: 0.2167 acc: 98.4375 loss_bbox: 0.2890 loss_mask: 0.2399 2024/01/13 18:31:12 - mmengine - INFO - Epoch(train) [3][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:49:54 time: 1.1835 data_time: 0.0544 memory: 14472 loss: 0.7665 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0441 loss_cls: 0.2119 acc: 99.2188 loss_bbox: 0.2503 loss_mask: 0.2336 2024/01/13 18:32:12 - mmengine - INFO - Epoch(train) [3][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:48:56 time: 1.2022 data_time: 0.0517 memory: 14259 loss: 0.6839 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0338 loss_cls: 0.1793 acc: 98.6328 loss_bbox: 0.2344 loss_mask: 0.2178 2024/01/13 18:33:13 - mmengine - INFO - Epoch(train) [3][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:47:57 time: 1.2048 data_time: 0.0550 memory: 14469 loss: 0.8055 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0557 loss_cls: 0.2196 acc: 99.2188 loss_bbox: 0.2678 loss_mask: 0.2365 2024/01/13 18:34:13 - mmengine - INFO - Epoch(train) [3][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:46:58 time: 1.1995 data_time: 0.0652 memory: 14239 loss: 0.7834 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0407 loss_cls: 0.2126 acc: 92.1875 loss_bbox: 0.2872 loss_mask: 0.2232 2024/01/13 18:35:12 - mmengine - INFO - Epoch(train) [3][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:45:57 time: 1.1920 data_time: 0.0637 memory: 13922 loss: 0.8124 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0499 loss_cls: 0.2167 acc: 95.5078 loss_bbox: 0.2764 loss_mask: 0.2457 2024/01/13 18:36:13 - mmengine - INFO - Epoch(train) [3][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:45:01 time: 1.2149 data_time: 0.0585 memory: 14654 loss: 0.6732 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0414 loss_cls: 0.1641 acc: 95.5078 loss_bbox: 0.2412 loss_mask: 0.2080 2024/01/13 18:37:13 - mmengine - INFO - Epoch(train) [3][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:44:02 time: 1.2042 data_time: 0.0495 memory: 14472 loss: 0.5876 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0334 loss_cls: 0.1391 acc: 85.1562 loss_bbox: 0.1916 loss_mask: 0.2051 2024/01/13 18:38:14 - mmengine - INFO - Epoch(train) [3][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:43:05 time: 1.2127 data_time: 0.0561 memory: 14954 loss: 0.6738 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0426 loss_cls: 0.1835 acc: 94.9219 loss_bbox: 0.2200 loss_mask: 0.2122 2024/01/13 18:39:13 - mmengine - INFO - Epoch(train) [3][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:42:04 time: 1.1882 data_time: 0.0547 memory: 14954 loss: 0.6877 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0359 loss_cls: 0.1702 acc: 99.4141 loss_bbox: 0.2483 loss_mask: 0.2131 2024/01/13 18:40:13 - mmengine - INFO - Epoch(train) [3][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:41:04 time: 1.1957 data_time: 0.0574 memory: 13952 loss: 0.6291 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0418 loss_cls: 0.1546 acc: 99.2188 loss_bbox: 0.2083 loss_mask: 0.2040 2024/01/13 18:41:12 - mmengine - INFO - Epoch(train) [3][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:40:01 time: 1.1755 data_time: 0.0555 memory: 14658 loss: 0.8038 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0512 loss_cls: 0.2087 acc: 94.9219 loss_bbox: 0.2691 loss_mask: 0.2435 2024/01/13 18:42:11 - mmengine - INFO - Epoch(train) [3][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:39:00 time: 1.1893 data_time: 0.0555 memory: 14134 loss: 0.7201 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0398 loss_cls: 0.1927 acc: 99.0234 loss_bbox: 0.2474 loss_mask: 0.2177 2024/01/13 18:43:11 - mmengine - INFO - Epoch(train) [3][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:37:58 time: 1.1857 data_time: 0.0534 memory: 14954 loss: 0.7318 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0479 loss_cls: 0.2003 acc: 80.6641 loss_bbox: 0.2418 loss_mask: 0.2207 2024/01/13 18:44:11 - mmengine - INFO - Epoch(train) [3][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:36:59 time: 1.2038 data_time: 0.0507 memory: 14472 loss: 0.7197 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0394 loss_cls: 0.1934 acc: 96.0938 loss_bbox: 0.2476 loss_mask: 0.2191 2024/01/13 18:45:10 - mmengine - INFO - Epoch(train) [3][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:35:56 time: 1.1754 data_time: 0.0632 memory: 14328 loss: 0.8057 loss_rpn_cls: 0.0278 loss_rpn_bbox: 0.0524 loss_cls: 0.2253 acc: 75.1953 loss_bbox: 0.2562 loss_mask: 0.2440 2024/01/13 18:45:57 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 18:46:09 - mmengine - INFO - Epoch(train) [3][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:34:56 time: 1.1974 data_time: 0.0573 memory: 14850 loss: 0.7626 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0436 loss_cls: 0.2065 acc: 92.3828 loss_bbox: 0.2598 loss_mask: 0.2323 2024/01/13 18:47:09 - mmengine - INFO - Epoch(train) [3][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:33:56 time: 1.1920 data_time: 0.0548 memory: 14423 loss: 0.7046 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0416 loss_cls: 0.1865 acc: 88.4766 loss_bbox: 0.2280 loss_mask: 0.2270 2024/01/13 18:48:09 - mmengine - INFO - Epoch(train) [3][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:32:58 time: 1.2076 data_time: 0.0653 memory: 14741 loss: 0.8638 loss_rpn_cls: 0.0307 loss_rpn_bbox: 0.0530 loss_cls: 0.2354 acc: 99.8047 loss_bbox: 0.2917 loss_mask: 0.2530 2024/01/13 18:49:10 - mmengine - INFO - Epoch(train) [3][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:32:00 time: 1.2058 data_time: 0.0498 memory: 14423 loss: 0.6812 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0310 loss_cls: 0.1755 acc: 97.4609 loss_bbox: 0.2275 loss_mask: 0.2265 2024/01/13 18:50:10 - mmengine - INFO - Epoch(train) [3][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:31:00 time: 1.2010 data_time: 0.0538 memory: 13952 loss: 0.6891 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0440 loss_cls: 0.1790 acc: 99.2188 loss_bbox: 0.2177 loss_mask: 0.2257 2024/01/13 18:51:08 - mmengine - INFO - Epoch(train) [3][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:29:57 time: 1.1725 data_time: 0.0572 memory: 14423 loss: 0.7612 loss_rpn_cls: 0.0472 loss_rpn_bbox: 0.0508 loss_cls: 0.1928 acc: 98.2422 loss_bbox: 0.2326 loss_mask: 0.2379 2024/01/13 18:52:09 - mmengine - INFO - Epoch(train) [3][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:28:58 time: 1.2022 data_time: 0.0565 memory: 14605 loss: 0.6552 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0418 loss_cls: 0.1686 acc: 89.6484 loss_bbox: 0.2021 loss_mask: 0.2198 2024/01/13 18:53:09 - mmengine - INFO - Epoch(train) [3][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:28:01 time: 1.2164 data_time: 0.0598 memory: 14472 loss: 0.7998 loss_rpn_cls: 0.0317 loss_rpn_bbox: 0.0633 loss_cls: 0.2151 acc: 97.6562 loss_bbox: 0.2493 loss_mask: 0.2404 2024/01/13 18:54:09 - mmengine - INFO - Epoch(train) [3][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:27:00 time: 1.1886 data_time: 0.0481 memory: 14423 loss: 0.6615 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0326 loss_cls: 0.1784 acc: 98.2422 loss_bbox: 0.2230 loss_mask: 0.2090 2024/01/13 18:55:08 - mmengine - INFO - Epoch(train) [3][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:25:59 time: 1.1857 data_time: 0.0487 memory: 14425 loss: 0.7307 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0414 loss_cls: 0.1856 acc: 98.2422 loss_bbox: 0.2380 loss_mask: 0.2431 2024/01/13 18:56:08 - mmengine - INFO - Epoch(train) [3][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:25:00 time: 1.2059 data_time: 0.0528 memory: 14423 loss: 0.6730 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0471 loss_cls: 0.1730 acc: 95.8984 loss_bbox: 0.2230 loss_mask: 0.2097 2024/01/13 18:57:09 - mmengine - INFO - Epoch(train) [3][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:24:03 time: 1.2135 data_time: 0.0606 memory: 14581 loss: 0.7291 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0374 loss_cls: 0.1972 acc: 90.4297 loss_bbox: 0.2457 loss_mask: 0.2255 2024/01/13 18:58:09 - mmengine - INFO - Epoch(train) [3][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:23:03 time: 1.1915 data_time: 0.0562 memory: 14726 loss: 0.7851 loss_rpn_cls: 0.0310 loss_rpn_bbox: 0.0507 loss_cls: 0.2178 acc: 96.4844 loss_bbox: 0.2617 loss_mask: 0.2238 2024/01/13 18:59:09 - mmengine - INFO - Epoch(train) [3][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:22:06 time: 1.2133 data_time: 0.0520 memory: 14954 loss: 0.7227 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0408 loss_cls: 0.2042 acc: 91.9922 loss_bbox: 0.2448 loss_mask: 0.2108 2024/01/13 19:00:08 - mmengine - INFO - Epoch(train) [3][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:21:03 time: 1.1781 data_time: 0.0534 memory: 13771 loss: 0.6949 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0401 loss_cls: 0.1733 acc: 99.0234 loss_bbox: 0.2398 loss_mask: 0.2161 2024/01/13 19:01:09 - mmengine - INFO - Epoch(train) [3][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:20:07 time: 1.2192 data_time: 0.0519 memory: 14815 loss: 0.6829 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0429 loss_cls: 0.1698 acc: 89.6484 loss_bbox: 0.2236 loss_mask: 0.2254 2024/01/13 19:02:09 - mmengine - INFO - Epoch(train) [3][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:19:05 time: 1.1872 data_time: 0.0561 memory: 14423 loss: 0.7705 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0522 loss_cls: 0.2085 acc: 99.2188 loss_bbox: 0.2501 loss_mask: 0.2303 2024/01/13 19:03:08 - mmengine - INFO - Epoch(train) [3][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:18:06 time: 1.1972 data_time: 0.0633 memory: 13771 loss: 0.7550 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0432 loss_cls: 0.2123 acc: 93.9453 loss_bbox: 0.2447 loss_mask: 0.2302 2024/01/13 19:04:08 - mmengine - INFO - Epoch(train) [3][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:17:06 time: 1.1972 data_time: 0.0529 memory: 13952 loss: 0.6808 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0360 loss_cls: 0.1686 acc: 93.3594 loss_bbox: 0.2291 loss_mask: 0.2280 2024/01/13 19:05:08 - mmengine - INFO - Epoch(train) [3][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:16:05 time: 1.1885 data_time: 0.0498 memory: 14256 loss: 0.6184 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0336 loss_cls: 0.1535 acc: 98.0469 loss_bbox: 0.2071 loss_mask: 0.2078 2024/01/13 19:05:55 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 19:06:07 - mmengine - INFO - Epoch(train) [3][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:15:04 time: 1.1907 data_time: 0.0590 memory: 14324 loss: 0.7931 loss_rpn_cls: 0.0287 loss_rpn_bbox: 0.0499 loss_cls: 0.2041 acc: 87.1094 loss_bbox: 0.2728 loss_mask: 0.2376 2024/01/13 19:07:06 - mmengine - INFO - Epoch(train) [3][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:14:02 time: 1.1855 data_time: 0.0554 memory: 14472 loss: 0.6836 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0443 loss_cls: 0.1888 acc: 79.4922 loss_bbox: 0.2218 loss_mask: 0.2023 2024/01/13 19:08:07 - mmengine - INFO - Epoch(train) [3][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:13:03 time: 1.2012 data_time: 0.0552 memory: 14954 loss: 0.6971 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0477 loss_cls: 0.1874 acc: 99.8047 loss_bbox: 0.2238 loss_mask: 0.2198 2024/01/13 19:09:06 - mmengine - INFO - Epoch(train) [3][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:12:03 time: 1.1933 data_time: 0.0560 memory: 14469 loss: 0.7835 loss_rpn_cls: 0.0301 loss_rpn_bbox: 0.0496 loss_cls: 0.2123 acc: 95.3125 loss_bbox: 0.2607 loss_mask: 0.2309 2024/01/13 19:10:06 - mmengine - INFO - Epoch(train) [3][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:11:03 time: 1.1931 data_time: 0.0464 memory: 14953 loss: 0.7426 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0475 loss_cls: 0.2064 acc: 83.5938 loss_bbox: 0.2477 loss_mask: 0.2163 2024/01/13 19:11:06 - mmengine - INFO - Epoch(train) [3][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:10:03 time: 1.1958 data_time: 0.0579 memory: 14658 loss: 0.7505 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0517 loss_cls: 0.2026 acc: 84.7656 loss_bbox: 0.2573 loss_mask: 0.2164 2024/01/13 19:12:07 - mmengine - INFO - Epoch(train) [3][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:09:09 time: 1.2330 data_time: 0.0678 memory: 14954 loss: 0.8111 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0508 loss_cls: 0.2066 acc: 97.0703 loss_bbox: 0.2718 loss_mask: 0.2577 2024/01/13 19:13:06 - mmengine - INFO - Epoch(train) [3][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:08:06 time: 1.1763 data_time: 0.0595 memory: 14049 loss: 0.7270 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0431 loss_cls: 0.1888 acc: 98.6328 loss_bbox: 0.2326 loss_mask: 0.2431 2024/01/13 19:14:06 - mmengine - INFO - Epoch(train) [3][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:07:07 time: 1.2009 data_time: 0.0532 memory: 14472 loss: 0.6057 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0354 loss_cls: 0.1657 acc: 85.3516 loss_bbox: 0.1927 loss_mask: 0.1908 2024/01/13 19:15:05 - mmengine - INFO - Epoch(train) [3][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:06:05 time: 1.1827 data_time: 0.0588 memory: 13952 loss: 0.7757 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0422 loss_cls: 0.2147 acc: 89.6484 loss_bbox: 0.2422 loss_mask: 0.2494 2024/01/13 19:16:04 - mmengine - INFO - Epoch(train) [3][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:05:01 time: 1.1726 data_time: 0.0529 memory: 13952 loss: 0.6320 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0318 loss_cls: 0.1682 acc: 97.2656 loss_bbox: 0.2155 loss_mask: 0.2000 2024/01/13 19:17:04 - mmengine - INFO - Epoch(train) [3][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:04:03 time: 1.2056 data_time: 0.0563 memory: 14423 loss: 0.7942 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0503 loss_cls: 0.2129 acc: 95.5078 loss_bbox: 0.2839 loss_mask: 0.2256 2024/01/13 19:18:04 - mmengine - INFO - Epoch(train) [3][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:03:03 time: 1.1974 data_time: 0.0491 memory: 14954 loss: 0.6649 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0429 loss_cls: 0.1749 acc: 93.5547 loss_bbox: 0.2120 loss_mask: 0.2083 2024/01/13 19:19:04 - mmengine - INFO - Epoch(train) [3][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:02:03 time: 1.1981 data_time: 0.0520 memory: 14140 loss: 0.7147 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0426 loss_cls: 0.1817 acc: 86.5234 loss_bbox: 0.2343 loss_mask: 0.2342 2024/01/13 19:20:04 - mmengine - INFO - Epoch(train) [3][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:01:03 time: 1.1931 data_time: 0.0576 memory: 14954 loss: 0.6743 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0374 loss_cls: 0.1755 acc: 88.2812 loss_bbox: 0.2285 loss_mask: 0.2116 2024/01/13 19:21:03 - mmengine - INFO - Epoch(train) [3][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:00:02 time: 1.1891 data_time: 0.0538 memory: 14951 loss: 0.7382 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0508 loss_cls: 0.1937 acc: 95.3125 loss_bbox: 0.2477 loss_mask: 0.2173 2024/01/13 19:22:03 - mmengine - INFO - Epoch(train) [3][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:59:02 time: 1.1967 data_time: 0.0687 memory: 14041 loss: 0.7950 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0484 loss_cls: 0.2129 acc: 99.4141 loss_bbox: 0.2761 loss_mask: 0.2320 2024/01/13 19:23:02 - mmengine - INFO - Epoch(train) [3][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:58:00 time: 1.1824 data_time: 0.0441 memory: 14472 loss: 0.6320 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0340 loss_cls: 0.1463 acc: 98.8281 loss_bbox: 0.2118 loss_mask: 0.2184 2024/01/13 19:24:02 - mmengine - INFO - Epoch(train) [3][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:57:02 time: 1.2057 data_time: 0.0513 memory: 14954 loss: 0.7006 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0410 loss_cls: 0.1857 acc: 98.6328 loss_bbox: 0.2412 loss_mask: 0.2099 2024/01/13 19:25:02 - mmengine - INFO - Epoch(train) [3][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:56:02 time: 1.1974 data_time: 0.0624 memory: 14472 loss: 0.9279 loss_rpn_cls: 0.0376 loss_rpn_bbox: 0.0587 loss_cls: 0.2559 acc: 86.3281 loss_bbox: 0.3237 loss_mask: 0.2519 2024/01/13 19:25:38 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 19:25:38 - mmengine - INFO - Saving checkpoint at 3 epochs 2024/01/13 19:25:55 - mmengine - INFO - Epoch(val) [3][ 50/313] eta: 0:01:05 time: 0.2499 data_time: 0.0389 memory: 14526 2024/01/13 19:26:07 - mmengine - INFO - Epoch(val) [3][100/313] eta: 0:00:51 time: 0.2321 data_time: 0.0210 memory: 3311 2024/01/13 19:26:19 - mmengine - INFO - Epoch(val) [3][150/313] eta: 0:00:38 time: 0.2351 data_time: 0.0289 memory: 3368 2024/01/13 19:26:30 - mmengine - INFO - Epoch(val) [3][200/313] eta: 0:00:26 time: 0.2339 data_time: 0.0224 memory: 3331 2024/01/13 19:26:42 - mmengine - INFO - Epoch(val) [3][250/313] eta: 0:00:14 time: 0.2317 data_time: 0.0265 memory: 3368 2024/01/13 19:26:54 - mmengine - INFO - Epoch(val) [3][300/313] eta: 0:00:03 time: 0.2340 data_time: 0.0245 memory: 3331 2024/01/13 19:27:05 - mmengine - INFO - Evaluating bbox... 2024/01/13 19:27:32 - mmengine - INFO - bbox_mAP_copypaste: 0.438 0.673 0.483 0.274 0.484 0.579 2024/01/13 19:27:32 - mmengine - INFO - Evaluating segm... 2024/01/13 19:28:03 - mmengine - INFO - segm_mAP_copypaste: 0.400 0.638 0.430 0.202 0.434 0.589 2024/01/13 19:28:04 - mmengine - INFO - Epoch(val) [3][313/313] coco/bbox_mAP: 0.4380 coco/bbox_mAP_50: 0.6730 coco/bbox_mAP_75: 0.4830 coco/bbox_mAP_s: 0.2740 coco/bbox_mAP_m: 0.4840 coco/bbox_mAP_l: 0.5790 coco/segm_mAP: 0.4000 coco/segm_mAP_50: 0.6380 coco/segm_mAP_75: 0.4300 coco/segm_mAP_s: 0.2020 coco/segm_mAP_m: 0.4340 coco/segm_mAP_l: 0.5890 data_time: 0.0261 time: 0.2348 2024/01/13 19:28:17 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 19:29:04 - mmengine - INFO - Epoch(train) [4][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:54:28 time: 1.2053 data_time: 0.0537 memory: 14324 loss: 0.6360 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0348 loss_cls: 0.1673 acc: 98.2422 loss_bbox: 0.2075 loss_mask: 0.2119 2024/01/13 19:30:04 - mmengine - INFO - Epoch(train) [4][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:53:28 time: 1.2007 data_time: 0.0559 memory: 14472 loss: 0.7584 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0465 loss_cls: 0.1952 acc: 99.4141 loss_bbox: 0.2540 loss_mask: 0.2423 2024/01/13 19:31:03 - mmengine - INFO - Epoch(train) [4][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:52:27 time: 1.1835 data_time: 0.0572 memory: 14460 loss: 0.6849 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0392 loss_cls: 0.1795 acc: 93.9453 loss_bbox: 0.2317 loss_mask: 0.2129 2024/01/13 19:32:03 - mmengine - INFO - Epoch(train) [4][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:51:26 time: 1.1883 data_time: 0.0457 memory: 14472 loss: 0.5583 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0279 loss_cls: 0.1279 acc: 98.8281 loss_bbox: 0.1897 loss_mask: 0.1983 2024/01/13 19:33:03 - mmengine - INFO - Epoch(train) [4][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:50:26 time: 1.1986 data_time: 0.0542 memory: 14954 loss: 0.6268 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0356 loss_cls: 0.1496 acc: 96.8750 loss_bbox: 0.2175 loss_mask: 0.2094 2024/01/13 19:34:02 - mmengine - INFO - Epoch(train) [4][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:49:26 time: 1.1908 data_time: 0.0609 memory: 14396 loss: 0.6906 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0481 loss_cls: 0.1855 acc: 94.1406 loss_bbox: 0.2352 loss_mask: 0.2043 2024/01/13 19:35:02 - mmengine - INFO - Epoch(train) [4][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:48:25 time: 1.1888 data_time: 0.0486 memory: 14825 loss: 0.5989 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0344 loss_cls: 0.1614 acc: 97.0703 loss_bbox: 0.1942 loss_mask: 0.1929 2024/01/13 19:36:01 - mmengine - INFO - Epoch(train) [4][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:47:25 time: 1.1973 data_time: 0.0556 memory: 14954 loss: 0.6158 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0367 loss_cls: 0.1497 acc: 96.8750 loss_bbox: 0.1954 loss_mask: 0.2131 2024/01/13 19:37:01 - mmengine - INFO - Epoch(train) [4][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:46:24 time: 1.1859 data_time: 0.0482 memory: 14423 loss: 0.6018 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0316 loss_cls: 0.1539 acc: 98.4375 loss_bbox: 0.2108 loss_mask: 0.1860 2024/01/13 19:38:01 - mmengine - INFO - Epoch(train) [4][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:45:24 time: 1.1955 data_time: 0.0584 memory: 14423 loss: 0.6779 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0377 loss_cls: 0.1826 acc: 94.7266 loss_bbox: 0.2242 loss_mask: 0.2149 2024/01/13 19:39:01 - mmengine - INFO - Epoch(train) [4][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:44:26 time: 1.2078 data_time: 0.0559 memory: 14658 loss: 0.6657 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0317 loss_cls: 0.1580 acc: 97.2656 loss_bbox: 0.2355 loss_mask: 0.2221 2024/01/13 19:40:01 - mmengine - INFO - Epoch(train) [4][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:43:25 time: 1.1940 data_time: 0.0555 memory: 14472 loss: 0.6141 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0338 loss_cls: 0.1490 acc: 86.3281 loss_bbox: 0.2066 loss_mask: 0.2118 2024/01/13 19:41:00 - mmengine - INFO - Epoch(train) [4][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:42:25 time: 1.1913 data_time: 0.0640 memory: 14472 loss: 0.7221 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0457 loss_cls: 0.1907 acc: 97.6562 loss_bbox: 0.2468 loss_mask: 0.2197 2024/01/13 19:42:00 - mmengine - INFO - Epoch(train) [4][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:41:24 time: 1.1895 data_time: 0.0642 memory: 14328 loss: 0.7039 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0432 loss_cls: 0.1850 acc: 81.6406 loss_bbox: 0.2407 loss_mask: 0.2181 2024/01/13 19:42:59 - mmengine - INFO - Epoch(train) [4][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:40:23 time: 1.1866 data_time: 0.0593 memory: 14472 loss: 0.7354 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0411 loss_cls: 0.1866 acc: 97.6562 loss_bbox: 0.2384 loss_mask: 0.2471 2024/01/13 19:43:59 - mmengine - INFO - Epoch(train) [4][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:39:24 time: 1.2038 data_time: 0.0639 memory: 14472 loss: 0.7137 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0449 loss_cls: 0.1700 acc: 97.0703 loss_bbox: 0.2335 loss_mask: 0.2464 2024/01/13 19:44:59 - mmengine - INFO - Epoch(train) [4][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:38:23 time: 1.1881 data_time: 0.0656 memory: 14112 loss: 0.7133 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0452 loss_cls: 0.1868 acc: 93.7500 loss_bbox: 0.2611 loss_mask: 0.2028 2024/01/13 19:45:58 - mmengine - INFO - Epoch(train) [4][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:37:22 time: 1.1870 data_time: 0.0468 memory: 14658 loss: 0.5508 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0322 loss_cls: 0.1421 acc: 96.8750 loss_bbox: 0.1877 loss_mask: 0.1778 2024/01/13 19:46:58 - mmengine - INFO - Epoch(train) [4][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:36:23 time: 1.2000 data_time: 0.0636 memory: 14786 loss: 0.6803 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0508 loss_cls: 0.1783 acc: 90.6250 loss_bbox: 0.2209 loss_mask: 0.2020 2024/01/13 19:47:58 - mmengine - INFO - Epoch(train) [4][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:35:23 time: 1.1939 data_time: 0.0637 memory: 14658 loss: 0.7508 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0523 loss_cls: 0.1848 acc: 89.0625 loss_bbox: 0.2582 loss_mask: 0.2427 2024/01/13 19:48:10 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 19:48:58 - mmengine - INFO - Epoch(train) [4][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:34:23 time: 1.2014 data_time: 0.0463 memory: 14843 loss: 0.5656 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0330 loss_cls: 0.1352 acc: 100.0000 loss_bbox: 0.1978 loss_mask: 0.1855 2024/01/13 19:49:57 - mmengine - INFO - Epoch(train) [4][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:33:23 time: 1.1942 data_time: 0.0661 memory: 14709 loss: 0.8200 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0514 loss_cls: 0.2250 acc: 85.3516 loss_bbox: 0.2759 loss_mask: 0.2484 2024/01/13 19:50:57 - mmengine - INFO - Epoch(train) [4][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:32:24 time: 1.1966 data_time: 0.0539 memory: 14811 loss: 0.6710 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0458 loss_cls: 0.1786 acc: 81.0547 loss_bbox: 0.2223 loss_mask: 0.2004 2024/01/13 19:51:57 - mmengine - INFO - Epoch(train) [4][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:31:25 time: 1.2024 data_time: 0.0542 memory: 14779 loss: 0.6702 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0436 loss_cls: 0.1642 acc: 85.9375 loss_bbox: 0.2191 loss_mask: 0.2227 2024/01/13 19:52:57 - mmengine - INFO - Epoch(train) [4][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:30:25 time: 1.2005 data_time: 0.0562 memory: 14134 loss: 0.6336 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0417 loss_cls: 0.1738 acc: 99.2188 loss_bbox: 0.1943 loss_mask: 0.2065 2024/01/13 19:53:57 - mmengine - INFO - Epoch(train) [4][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:29:25 time: 1.1923 data_time: 0.0454 memory: 13956 loss: 0.6547 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0333 loss_cls: 0.1779 acc: 99.6094 loss_bbox: 0.2226 loss_mask: 0.2063 2024/01/13 19:54:58 - mmengine - INFO - Epoch(train) [4][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:28:28 time: 1.2171 data_time: 0.0426 memory: 14953 loss: 0.6402 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0350 loss_cls: 0.1709 acc: 99.4141 loss_bbox: 0.2166 loss_mask: 0.1993 2024/01/13 19:55:57 - mmengine - INFO - Epoch(train) [4][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:27:27 time: 1.1886 data_time: 0.0597 memory: 14657 loss: 0.5883 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0347 loss_cls: 0.1459 acc: 93.5547 loss_bbox: 0.2059 loss_mask: 0.1870 2024/01/13 19:56:57 - mmengine - INFO - Epoch(train) [4][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:26:26 time: 1.1903 data_time: 0.0536 memory: 14423 loss: 0.7010 loss_rpn_cls: 0.0305 loss_rpn_bbox: 0.0515 loss_cls: 0.1636 acc: 91.9922 loss_bbox: 0.2352 loss_mask: 0.2202 2024/01/13 19:57:56 - mmengine - INFO - Epoch(train) [4][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:25:25 time: 1.1822 data_time: 0.0503 memory: 14472 loss: 0.6384 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0423 loss_cls: 0.1670 acc: 98.4375 loss_bbox: 0.2124 loss_mask: 0.1988 2024/01/13 19:58:56 - mmengine - INFO - Epoch(train) [4][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:24:25 time: 1.1988 data_time: 0.0522 memory: 14423 loss: 0.5993 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0380 loss_cls: 0.1563 acc: 99.4141 loss_bbox: 0.2018 loss_mask: 0.1843 2024/01/13 19:59:55 - mmengine - INFO - Epoch(train) [4][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:23:24 time: 1.1830 data_time: 0.0606 memory: 14472 loss: 0.6967 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0452 loss_cls: 0.1850 acc: 85.1562 loss_bbox: 0.2358 loss_mask: 0.2145 2024/01/13 20:00:56 - mmengine - INFO - Epoch(train) [4][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:22:26 time: 1.2129 data_time: 0.0671 memory: 14847 loss: 0.7241 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0423 loss_cls: 0.1928 acc: 91.6016 loss_bbox: 0.2570 loss_mask: 0.2092 2024/01/13 20:01:56 - mmengine - INFO - Epoch(train) [4][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:21:27 time: 1.2039 data_time: 0.0616 memory: 13771 loss: 0.7462 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0478 loss_cls: 0.2043 acc: 93.7500 loss_bbox: 0.2519 loss_mask: 0.2161 2024/01/13 20:02:56 - mmengine - INFO - Epoch(train) [4][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:20:27 time: 1.1928 data_time: 0.0535 memory: 14157 loss: 0.6973 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0432 loss_cls: 0.1825 acc: 96.2891 loss_bbox: 0.2309 loss_mask: 0.2191 2024/01/13 20:03:54 - mmengine - INFO - Epoch(train) [4][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:19:24 time: 1.1701 data_time: 0.0538 memory: 14132 loss: 0.7525 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0456 loss_cls: 0.2008 acc: 96.6797 loss_bbox: 0.2557 loss_mask: 0.2236 2024/01/13 20:04:53 - mmengine - INFO - Epoch(train) [4][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:18:22 time: 1.1799 data_time: 0.0614 memory: 14469 loss: 0.7061 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0472 loss_cls: 0.1745 acc: 93.5547 loss_bbox: 0.2431 loss_mask: 0.2185 2024/01/13 20:05:52 - mmengine - INFO - Epoch(train) [4][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:17:20 time: 1.1813 data_time: 0.0517 memory: 14324 loss: 0.5978 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0311 loss_cls: 0.1434 acc: 100.0000 loss_bbox: 0.1963 loss_mask: 0.2017 2024/01/13 20:06:53 - mmengine - INFO - Epoch(train) [4][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:16:23 time: 1.2195 data_time: 0.0652 memory: 14954 loss: 0.7413 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0494 loss_cls: 0.1864 acc: 84.9609 loss_bbox: 0.2518 loss_mask: 0.2305 2024/01/13 20:07:53 - mmengine - INFO - Epoch(train) [4][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:15:22 time: 1.1876 data_time: 0.0613 memory: 14472 loss: 0.6252 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0316 loss_cls: 0.1546 acc: 92.1875 loss_bbox: 0.2127 loss_mask: 0.2149 2024/01/13 20:08:04 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 20:08:53 - mmengine - INFO - Epoch(train) [4][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:14:23 time: 1.2028 data_time: 0.0539 memory: 14954 loss: 0.5388 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0295 loss_cls: 0.1296 acc: 94.7266 loss_bbox: 0.1767 loss_mask: 0.1898 2024/01/13 20:09:53 - mmengine - INFO - Epoch(train) [4][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:13:25 time: 1.2111 data_time: 0.0616 memory: 14954 loss: 0.6999 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0501 loss_cls: 0.1781 acc: 97.0703 loss_bbox: 0.2496 loss_mask: 0.2052 2024/01/13 20:10:53 - mmengine - INFO - Epoch(train) [4][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:12:26 time: 1.2019 data_time: 0.0621 memory: 14836 loss: 0.7716 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0539 loss_cls: 0.2032 acc: 87.6953 loss_bbox: 0.2622 loss_mask: 0.2323 2024/01/13 20:11:53 - mmengine - INFO - Epoch(train) [4][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:11:27 time: 1.1984 data_time: 0.0517 memory: 14658 loss: 0.6743 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0436 loss_cls: 0.1723 acc: 97.8516 loss_bbox: 0.2150 loss_mask: 0.2194 2024/01/13 20:12:53 - mmengine - INFO - Epoch(train) [4][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:10:26 time: 1.1924 data_time: 0.0529 memory: 14951 loss: 0.6238 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0372 loss_cls: 0.1494 acc: 94.7266 loss_bbox: 0.2165 loss_mask: 0.2052 2024/01/13 20:13:52 - mmengine - INFO - Epoch(train) [4][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:09:26 time: 1.1902 data_time: 0.0574 memory: 14472 loss: 0.8020 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0499 loss_cls: 0.2203 acc: 96.6797 loss_bbox: 0.2787 loss_mask: 0.2227 2024/01/13 20:14:52 - mmengine - INFO - Epoch(train) [4][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:08:26 time: 1.1961 data_time: 0.0526 memory: 14954 loss: 0.7163 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0449 loss_cls: 0.1883 acc: 99.2188 loss_bbox: 0.2366 loss_mask: 0.2208 2024/01/13 20:15:52 - mmengine - INFO - Epoch(train) [4][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:07:27 time: 1.1986 data_time: 0.0569 memory: 14472 loss: 0.7267 loss_rpn_cls: 0.0253 loss_rpn_bbox: 0.0395 loss_cls: 0.1884 acc: 99.8047 loss_bbox: 0.2442 loss_mask: 0.2294 2024/01/13 20:16:53 - mmengine - INFO - Epoch(train) [4][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:06:28 time: 1.2096 data_time: 0.0656 memory: 14041 loss: 0.7466 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0502 loss_cls: 0.2037 acc: 90.4297 loss_bbox: 0.2449 loss_mask: 0.2214 2024/01/13 20:17:53 - mmengine - INFO - Epoch(train) [4][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:05:31 time: 1.2131 data_time: 0.0565 memory: 14537 loss: 0.6582 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0447 loss_cls: 0.1772 acc: 99.0234 loss_bbox: 0.2125 loss_mask: 0.2072 2024/01/13 20:18:53 - mmengine - INFO - Epoch(train) [4][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:04:31 time: 1.1939 data_time: 0.0644 memory: 14134 loss: 0.6663 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0415 loss_cls: 0.1727 acc: 95.8984 loss_bbox: 0.2267 loss_mask: 0.2017 2024/01/13 20:19:53 - mmengine - INFO - Epoch(train) [4][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:03:31 time: 1.1960 data_time: 0.0602 memory: 14472 loss: 0.7080 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0370 loss_cls: 0.1922 acc: 99.0234 loss_bbox: 0.2499 loss_mask: 0.2032 2024/01/13 20:20:52 - mmengine - INFO - Epoch(train) [4][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:02:30 time: 1.1875 data_time: 0.0560 memory: 14954 loss: 0.7870 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0509 loss_cls: 0.2005 acc: 99.8047 loss_bbox: 0.2735 loss_mask: 0.2415 2024/01/13 20:21:53 - mmengine - INFO - Epoch(train) [4][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:01:32 time: 1.2109 data_time: 0.0559 memory: 14658 loss: 0.6901 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0393 loss_cls: 0.1840 acc: 98.4375 loss_bbox: 0.2269 loss_mask: 0.2110 2024/01/13 20:22:53 - mmengine - INFO - Epoch(train) [4][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:00:32 time: 1.1994 data_time: 0.0605 memory: 14497 loss: 0.5668 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0337 loss_cls: 0.1376 acc: 94.3359 loss_bbox: 0.1792 loss_mask: 0.1958 2024/01/13 20:23:52 - mmengine - INFO - Epoch(train) [4][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:59:32 time: 1.1916 data_time: 0.0611 memory: 13811 loss: 0.6786 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0454 loss_cls: 0.1791 acc: 95.8984 loss_bbox: 0.2395 loss_mask: 0.1945 2024/01/13 20:24:52 - mmengine - INFO - Epoch(train) [4][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:58:33 time: 1.1994 data_time: 0.0549 memory: 14954 loss: 0.7769 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0429 loss_cls: 0.2054 acc: 98.2422 loss_bbox: 0.2842 loss_mask: 0.2193 2024/01/13 20:25:52 - mmengine - INFO - Epoch(train) [4][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:57:33 time: 1.1960 data_time: 0.0589 memory: 14036 loss: 0.6853 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0371 loss_cls: 0.1879 acc: 98.8281 loss_bbox: 0.2248 loss_mask: 0.2142 2024/01/13 20:26:52 - mmengine - INFO - Epoch(train) [4][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:56:34 time: 1.2014 data_time: 0.0616 memory: 13771 loss: 0.7466 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0486 loss_cls: 0.2116 acc: 98.8281 loss_bbox: 0.2493 loss_mask: 0.2132 2024/01/13 20:27:51 - mmengine - INFO - Epoch(train) [4][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:55:32 time: 1.1855 data_time: 0.0683 memory: 13883 loss: 0.6900 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0437 loss_cls: 0.1842 acc: 99.6094 loss_bbox: 0.2310 loss_mask: 0.2107 2024/01/13 20:28:03 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 20:28:52 - mmengine - INFO - Epoch(train) [4][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:54:35 time: 1.2173 data_time: 0.0550 memory: 14954 loss: 0.6580 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0365 loss_cls: 0.1668 acc: 85.9375 loss_bbox: 0.2187 loss_mask: 0.2214 2024/01/13 20:29:52 - mmengine - INFO - Epoch(train) [4][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:53:34 time: 1.1875 data_time: 0.0585 memory: 14424 loss: 0.7213 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0421 loss_cls: 0.1967 acc: 99.2188 loss_bbox: 0.2481 loss_mask: 0.2121 2024/01/13 20:30:51 - mmengine - INFO - Epoch(train) [4][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:52:33 time: 1.1857 data_time: 0.0604 memory: 14654 loss: 0.6942 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0461 loss_cls: 0.1874 acc: 98.6328 loss_bbox: 0.2355 loss_mask: 0.2036 2024/01/13 20:31:51 - mmengine - INFO - Epoch(train) [4][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:51:35 time: 1.2079 data_time: 0.0567 memory: 14040 loss: 0.8072 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0490 loss_cls: 0.2209 acc: 91.4062 loss_bbox: 0.2635 loss_mask: 0.2535 2024/01/13 20:32:52 - mmengine - INFO - Epoch(train) [4][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:50:37 time: 1.2126 data_time: 0.0521 memory: 14954 loss: 0.6470 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0482 loss_cls: 0.1581 acc: 86.5234 loss_bbox: 0.2093 loss_mask: 0.2103 2024/01/13 20:33:52 - mmengine - INFO - Epoch(train) [4][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:49:37 time: 1.1965 data_time: 0.0562 memory: 14954 loss: 0.6636 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0410 loss_cls: 0.1722 acc: 92.9688 loss_bbox: 0.2258 loss_mask: 0.2083 2024/01/13 20:34:51 - mmengine - INFO - Epoch(train) [4][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:48:37 time: 1.1898 data_time: 0.0583 memory: 13952 loss: 0.6864 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0402 loss_cls: 0.1860 acc: 93.1641 loss_bbox: 0.2195 loss_mask: 0.2214 2024/01/13 20:35:52 - mmengine - INFO - Epoch(train) [4][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:47:38 time: 1.2073 data_time: 0.0564 memory: 14469 loss: 0.7527 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0393 loss_cls: 0.2073 acc: 95.3125 loss_bbox: 0.2555 loss_mask: 0.2311 2024/01/13 20:36:51 - mmengine - INFO - Epoch(train) [4][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:46:37 time: 1.1898 data_time: 0.0578 memory: 14472 loss: 0.6542 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0339 loss_cls: 0.1734 acc: 84.5703 loss_bbox: 0.2243 loss_mask: 0.2030 2024/01/13 20:37:50 - mmengine - INFO - Epoch(train) [4][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:45:36 time: 1.1811 data_time: 0.0649 memory: 14041 loss: 0.7612 loss_rpn_cls: 0.0330 loss_rpn_bbox: 0.0425 loss_cls: 0.2055 acc: 88.8672 loss_bbox: 0.2481 loss_mask: 0.2321 2024/01/13 20:38:50 - mmengine - INFO - Epoch(train) [4][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:44:35 time: 1.1909 data_time: 0.0584 memory: 14328 loss: 0.6750 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0387 loss_cls: 0.1690 acc: 87.8906 loss_bbox: 0.2329 loss_mask: 0.2143 2024/01/13 20:39:50 - mmengine - INFO - Epoch(train) [4][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:43:38 time: 1.2138 data_time: 0.0527 memory: 14578 loss: 0.7498 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0432 loss_cls: 0.2019 acc: 93.5547 loss_bbox: 0.2682 loss_mask: 0.2117 2024/01/13 20:40:50 - mmengine - INFO - Epoch(train) [4][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:42:36 time: 1.1860 data_time: 0.0633 memory: 14472 loss: 0.7237 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0517 loss_cls: 0.1876 acc: 98.0469 loss_bbox: 0.2511 loss_mask: 0.2139 2024/01/13 20:41:50 - mmengine - INFO - Epoch(train) [4][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:41:36 time: 1.1949 data_time: 0.0549 memory: 14472 loss: 0.7434 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0447 loss_cls: 0.1979 acc: 97.6562 loss_bbox: 0.2547 loss_mask: 0.2295 2024/01/13 20:42:49 - mmengine - INFO - Epoch(train) [4][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:40:35 time: 1.1864 data_time: 0.0577 memory: 14328 loss: 0.7171 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0389 loss_cls: 0.1872 acc: 98.4375 loss_bbox: 0.2418 loss_mask: 0.2293 2024/01/13 20:43:49 - mmengine - INFO - Epoch(train) [4][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:39:36 time: 1.1960 data_time: 0.0527 memory: 14472 loss: 0.6663 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0380 loss_cls: 0.1799 acc: 94.9219 loss_bbox: 0.2119 loss_mask: 0.2172 2024/01/13 20:44:50 - mmengine - INFO - Epoch(train) [4][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:38:38 time: 1.2176 data_time: 0.0559 memory: 14169 loss: 0.6842 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0373 loss_cls: 0.1942 acc: 84.9609 loss_bbox: 0.2310 loss_mask: 0.2034 2024/01/13 20:45:48 - mmengine - INFO - Epoch(train) [4][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:37:36 time: 1.1770 data_time: 0.0565 memory: 14951 loss: 0.7745 loss_rpn_cls: 0.0335 loss_rpn_bbox: 0.0515 loss_cls: 0.2218 acc: 99.4141 loss_bbox: 0.2321 loss_mask: 0.2356 2024/01/13 20:46:49 - mmengine - INFO - Epoch(train) [4][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:36:37 time: 1.2026 data_time: 0.0609 memory: 14156 loss: 0.6674 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0416 loss_cls: 0.1928 acc: 95.5078 loss_bbox: 0.2183 loss_mask: 0.1914 2024/01/13 20:47:48 - mmengine - INFO - Epoch(train) [4][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:35:38 time: 1.1990 data_time: 0.0695 memory: 14472 loss: 0.8116 loss_rpn_cls: 0.0307 loss_rpn_bbox: 0.0508 loss_cls: 0.2102 acc: 87.1094 loss_bbox: 0.2802 loss_mask: 0.2397 2024/01/13 20:48:01 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 20:48:47 - mmengine - INFO - Epoch(train) [4][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:34:35 time: 1.1758 data_time: 0.0571 memory: 14424 loss: 0.7141 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0376 loss_cls: 0.1909 acc: 91.9922 loss_bbox: 0.2382 loss_mask: 0.2323 2024/01/13 20:49:48 - mmengine - INFO - Epoch(train) [4][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:33:37 time: 1.2098 data_time: 0.0538 memory: 14450 loss: 0.7231 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0434 loss_cls: 0.1946 acc: 94.9219 loss_bbox: 0.2425 loss_mask: 0.2258 2024/01/13 20:50:48 - mmengine - INFO - Epoch(train) [4][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:32:39 time: 1.2089 data_time: 0.0538 memory: 14142 loss: 0.7450 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0458 loss_cls: 0.1775 acc: 98.6328 loss_bbox: 0.2390 loss_mask: 0.2605 2024/01/13 20:51:48 - mmengine - INFO - Epoch(train) [4][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:31:39 time: 1.2003 data_time: 0.0492 memory: 14653 loss: 0.7001 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0424 loss_cls: 0.1748 acc: 94.5312 loss_bbox: 0.2278 loss_mask: 0.2341 2024/01/13 20:52:48 - mmengine - INFO - Epoch(train) [4][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:30:40 time: 1.1993 data_time: 0.0534 memory: 13811 loss: 0.6383 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0330 loss_cls: 0.1636 acc: 99.8047 loss_bbox: 0.1973 loss_mask: 0.2255 2024/01/13 20:53:48 - mmengine - INFO - Epoch(train) [4][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:29:41 time: 1.2015 data_time: 0.0526 memory: 14653 loss: 0.6780 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0400 loss_cls: 0.1886 acc: 86.5234 loss_bbox: 0.2251 loss_mask: 0.2013 2024/01/13 20:54:48 - mmengine - INFO - Epoch(train) [4][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:28:40 time: 1.1920 data_time: 0.0647 memory: 14469 loss: 0.7830 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0423 loss_cls: 0.2390 acc: 98.2422 loss_bbox: 0.2485 loss_mask: 0.2266 2024/01/13 20:55:48 - mmengine - INFO - Epoch(train) [4][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:27:40 time: 1.1953 data_time: 0.0565 memory: 13922 loss: 0.8113 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0549 loss_cls: 0.2147 acc: 99.2188 loss_bbox: 0.2887 loss_mask: 0.2298 2024/01/13 20:56:47 - mmengine - INFO - Epoch(train) [4][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:26:40 time: 1.1942 data_time: 0.0512 memory: 14439 loss: 0.6807 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0343 loss_cls: 0.1707 acc: 96.8750 loss_bbox: 0.2436 loss_mask: 0.2164 2024/01/13 20:57:48 - mmengine - INFO - Epoch(train) [4][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:25:42 time: 1.2052 data_time: 0.0498 memory: 14748 loss: 0.6855 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0422 loss_cls: 0.1734 acc: 99.6094 loss_bbox: 0.2367 loss_mask: 0.2145 2024/01/13 20:58:48 - mmengine - INFO - Epoch(train) [4][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:24:43 time: 1.2090 data_time: 0.0555 memory: 14338 loss: 0.7827 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0460 loss_cls: 0.2023 acc: 96.6797 loss_bbox: 0.2758 loss_mask: 0.2291 2024/01/13 20:59:47 - mmengine - INFO - Epoch(train) [4][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:23:42 time: 1.1804 data_time: 0.0492 memory: 14424 loss: 0.6186 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0355 loss_cls: 0.1545 acc: 97.6562 loss_bbox: 0.2009 loss_mask: 0.2134 2024/01/13 21:00:47 - mmengine - INFO - Epoch(train) [4][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:22:42 time: 1.1946 data_time: 0.0587 memory: 14472 loss: 0.7521 loss_rpn_cls: 0.0307 loss_rpn_bbox: 0.0493 loss_cls: 0.1999 acc: 85.7422 loss_bbox: 0.2481 loss_mask: 0.2242 2024/01/13 21:01:46 - mmengine - INFO - Epoch(train) [4][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:21:41 time: 1.1906 data_time: 0.0677 memory: 14328 loss: 0.7610 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0558 loss_cls: 0.1982 acc: 97.6562 loss_bbox: 0.2496 loss_mask: 0.2297 2024/01/13 21:02:46 - mmengine - INFO - Epoch(train) [4][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:20:41 time: 1.1955 data_time: 0.0536 memory: 14954 loss: 0.6079 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0327 loss_cls: 0.1490 acc: 90.0391 loss_bbox: 0.1971 loss_mask: 0.2098 2024/01/13 21:03:45 - mmengine - INFO - Epoch(train) [4][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:19:40 time: 1.1835 data_time: 0.0470 memory: 14424 loss: 0.5858 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0305 loss_cls: 0.1519 acc: 91.6016 loss_bbox: 0.1897 loss_mask: 0.1973 2024/01/13 21:04:46 - mmengine - INFO - Epoch(train) [4][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:18:42 time: 1.2140 data_time: 0.0609 memory: 14954 loss: 0.8015 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0596 loss_cls: 0.2075 acc: 88.6719 loss_bbox: 0.2757 loss_mask: 0.2273 2024/01/13 21:05:47 - mmengine - INFO - Epoch(train) [4][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:17:44 time: 1.2140 data_time: 0.0481 memory: 14951 loss: 0.7787 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0395 loss_cls: 0.2069 acc: 90.2344 loss_bbox: 0.2604 loss_mask: 0.2483 2024/01/13 21:06:46 - mmengine - INFO - Epoch(train) [4][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:16:44 time: 1.1912 data_time: 0.0471 memory: 13952 loss: 0.5759 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0337 loss_cls: 0.1428 acc: 99.4141 loss_bbox: 0.1974 loss_mask: 0.1883 2024/01/13 21:07:46 - mmengine - INFO - Epoch(train) [4][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:15:45 time: 1.2012 data_time: 0.0569 memory: 14423 loss: 0.6188 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0374 loss_cls: 0.1640 acc: 88.6719 loss_bbox: 0.2044 loss_mask: 0.1994 2024/01/13 21:07:58 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 21:08:46 - mmengine - INFO - Epoch(train) [4][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:14:45 time: 1.1990 data_time: 0.0614 memory: 14472 loss: 0.7061 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0385 loss_cls: 0.1864 acc: 97.0703 loss_bbox: 0.2443 loss_mask: 0.2135 2024/01/13 21:09:47 - mmengine - INFO - Epoch(train) [4][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:13:46 time: 1.2066 data_time: 0.0570 memory: 14953 loss: 0.6436 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0357 loss_cls: 0.1595 acc: 97.2656 loss_bbox: 0.2201 loss_mask: 0.2149 2024/01/13 21:10:47 - mmengine - INFO - Epoch(train) [4][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:12:48 time: 1.2075 data_time: 0.0523 memory: 14954 loss: 0.6583 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0362 loss_cls: 0.1574 acc: 89.8438 loss_bbox: 0.2223 loss_mask: 0.2237 2024/01/13 21:11:47 - mmengine - INFO - Epoch(train) [4][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:11:48 time: 1.2002 data_time: 0.0557 memory: 13771 loss: 0.6685 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0414 loss_cls: 0.1720 acc: 98.2422 loss_bbox: 0.2195 loss_mask: 0.2142 2024/01/13 21:12:46 - mmengine - INFO - Epoch(train) [4][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:10:47 time: 1.1821 data_time: 0.0485 memory: 14423 loss: 0.6371 loss_rpn_cls: 0.0308 loss_rpn_bbox: 0.0437 loss_cls: 0.1585 acc: 99.0234 loss_bbox: 0.2040 loss_mask: 0.2001 2024/01/13 21:13:46 - mmengine - INFO - Epoch(train) [4][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:09:47 time: 1.1996 data_time: 0.0574 memory: 14387 loss: 0.6543 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0354 loss_cls: 0.1630 acc: 82.6172 loss_bbox: 0.2211 loss_mask: 0.2193 2024/01/13 21:14:45 - mmengine - INFO - Epoch(train) [4][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:08:46 time: 1.1851 data_time: 0.0586 memory: 14472 loss: 0.7427 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0401 loss_cls: 0.2069 acc: 91.6016 loss_bbox: 0.2518 loss_mask: 0.2212 2024/01/13 21:15:45 - mmengine - INFO - Epoch(train) [4][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:07:46 time: 1.1918 data_time: 0.0491 memory: 14328 loss: 0.6867 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0364 loss_cls: 0.1817 acc: 99.2188 loss_bbox: 0.2431 loss_mask: 0.2065 2024/01/13 21:16:44 - mmengine - INFO - Epoch(train) [4][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:06:45 time: 1.1887 data_time: 0.0499 memory: 14469 loss: 0.6566 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0366 loss_cls: 0.1750 acc: 95.1172 loss_bbox: 0.2033 loss_mask: 0.2259 2024/01/13 21:17:44 - mmengine - INFO - Epoch(train) [4][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:05:44 time: 1.1843 data_time: 0.0542 memory: 14115 loss: 0.7252 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0420 loss_cls: 0.2204 acc: 94.3359 loss_bbox: 0.2393 loss_mask: 0.2054 2024/01/13 21:18:44 - mmengine - INFO - Epoch(train) [4][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:04:45 time: 1.2043 data_time: 0.0596 memory: 14847 loss: 0.6936 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0443 loss_cls: 0.1747 acc: 80.2734 loss_bbox: 0.2349 loss_mask: 0.2229 2024/01/13 21:19:43 - mmengine - INFO - Epoch(train) [4][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:03:44 time: 1.1853 data_time: 0.0537 memory: 14134 loss: 0.6411 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0415 loss_cls: 0.1662 acc: 88.8672 loss_bbox: 0.2133 loss_mask: 0.2033 2024/01/13 21:20:43 - mmengine - INFO - Epoch(train) [4][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:02:45 time: 1.2006 data_time: 0.0505 memory: 13952 loss: 0.5357 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0300 loss_cls: 0.1366 acc: 90.6250 loss_bbox: 0.1672 loss_mask: 0.1851 2024/01/13 21:21:43 - mmengine - INFO - Epoch(train) [4][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:01:45 time: 1.1987 data_time: 0.0518 memory: 14679 loss: 0.6551 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0304 loss_cls: 0.1810 acc: 86.5234 loss_bbox: 0.2274 loss_mask: 0.1987 2024/01/13 21:22:44 - mmengine - INFO - Epoch(train) [4][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:00:47 time: 1.2087 data_time: 0.0509 memory: 14424 loss: 0.6459 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0450 loss_cls: 0.1527 acc: 98.4375 loss_bbox: 0.2144 loss_mask: 0.2088 2024/01/13 21:23:44 - mmengine - INFO - Epoch(train) [4][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:59:48 time: 1.2052 data_time: 0.0536 memory: 14954 loss: 0.7146 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0478 loss_cls: 0.1856 acc: 85.7422 loss_bbox: 0.2406 loss_mask: 0.2192 2024/01/13 21:24:43 - mmengine - INFO - Epoch(train) [4][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:58:48 time: 1.1925 data_time: 0.0555 memory: 14472 loss: 0.6206 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0378 loss_cls: 0.1526 acc: 99.8047 loss_bbox: 0.2131 loss_mask: 0.1960 2024/01/13 21:25:44 - mmengine - INFO - Epoch(train) [4][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:57:49 time: 1.2061 data_time: 0.0577 memory: 14954 loss: 0.6906 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0391 loss_cls: 0.1851 acc: 82.4219 loss_bbox: 0.2374 loss_mask: 0.2067 2024/01/13 21:26:44 - mmengine - INFO - Epoch(train) [4][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:56:49 time: 1.1979 data_time: 0.0526 memory: 14672 loss: 0.6130 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0380 loss_cls: 0.1578 acc: 98.6328 loss_bbox: 0.2096 loss_mask: 0.1878 2024/01/13 21:27:44 - mmengine - INFO - Epoch(train) [4][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:55:50 time: 1.1970 data_time: 0.0618 memory: 14424 loss: 0.6602 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0382 loss_cls: 0.1655 acc: 96.6797 loss_bbox: 0.2239 loss_mask: 0.2137 2024/01/13 21:27:56 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 21:28:43 - mmengine - INFO - Epoch(train) [4][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:54:49 time: 1.1904 data_time: 0.0602 memory: 14134 loss: 0.6273 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0404 loss_cls: 0.1626 acc: 96.4844 loss_bbox: 0.1971 loss_mask: 0.2067 2024/01/13 21:29:42 - mmengine - INFO - Epoch(train) [4][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:53:48 time: 1.1814 data_time: 0.0506 memory: 14472 loss: 0.6795 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0371 loss_cls: 0.1727 acc: 84.5703 loss_bbox: 0.2318 loss_mask: 0.2220 2024/01/13 21:30:41 - mmengine - INFO - Epoch(train) [4][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:52:47 time: 1.1853 data_time: 0.0532 memory: 14951 loss: 0.6134 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0353 loss_cls: 0.1675 acc: 86.5234 loss_bbox: 0.2058 loss_mask: 0.1872 2024/01/13 21:31:41 - mmengine - INFO - Epoch(train) [4][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:51:46 time: 1.1855 data_time: 0.0513 memory: 14328 loss: 0.6147 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0325 loss_cls: 0.1556 acc: 99.0234 loss_bbox: 0.2168 loss_mask: 0.1943 2024/01/13 21:32:40 - mmengine - INFO - Epoch(train) [4][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:50:44 time: 1.1798 data_time: 0.0487 memory: 13952 loss: 0.6392 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0295 loss_cls: 0.1766 acc: 89.8438 loss_bbox: 0.2031 loss_mask: 0.2121 2024/01/13 21:33:39 - mmengine - INFO - Epoch(train) [4][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:49:44 time: 1.1968 data_time: 0.0635 memory: 14472 loss: 0.6395 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0384 loss_cls: 0.1644 acc: 95.8984 loss_bbox: 0.2204 loss_mask: 0.1972 2024/01/13 21:34:39 - mmengine - INFO - Epoch(train) [4][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:48:43 time: 1.1818 data_time: 0.0541 memory: 14423 loss: 0.7251 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0452 loss_cls: 0.1907 acc: 86.1328 loss_bbox: 0.2419 loss_mask: 0.2176 2024/01/13 21:35:39 - mmengine - INFO - Epoch(train) [4][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:47:43 time: 1.1985 data_time: 0.0553 memory: 14038 loss: 0.6359 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0372 loss_cls: 0.1520 acc: 98.6328 loss_bbox: 0.2060 loss_mask: 0.2218 2024/01/13 21:36:39 - mmengine - INFO - Epoch(train) [4][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:46:44 time: 1.2025 data_time: 0.0480 memory: 14472 loss: 0.5528 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0349 loss_cls: 0.1469 acc: 95.1172 loss_bbox: 0.1715 loss_mask: 0.1843 2024/01/13 21:37:37 - mmengine - INFO - Epoch(train) [4][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:45:42 time: 1.1738 data_time: 0.0487 memory: 13952 loss: 0.6073 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0367 loss_cls: 0.1490 acc: 78.9062 loss_bbox: 0.1980 loss_mask: 0.2066 2024/01/13 21:38:37 - mmengine - INFO - Epoch(train) [4][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:44:42 time: 1.1926 data_time: 0.0551 memory: 14472 loss: 0.6719 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0476 loss_cls: 0.1656 acc: 97.0703 loss_bbox: 0.2209 loss_mask: 0.2167 2024/01/13 21:39:37 - mmengine - INFO - Epoch(train) [4][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:43:42 time: 1.1998 data_time: 0.0530 memory: 14002 loss: 0.7232 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0418 loss_cls: 0.1983 acc: 83.0078 loss_bbox: 0.2419 loss_mask: 0.2136 2024/01/13 21:40:36 - mmengine - INFO - Epoch(train) [4][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:42:41 time: 1.1832 data_time: 0.0657 memory: 14951 loss: 0.8043 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0533 loss_cls: 0.2048 acc: 87.5000 loss_bbox: 0.2731 loss_mask: 0.2467 2024/01/13 21:41:37 - mmengine - INFO - Epoch(train) [4][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:41:43 time: 1.2145 data_time: 0.0486 memory: 13771 loss: 0.7034 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0452 loss_cls: 0.1878 acc: 84.1797 loss_bbox: 0.2399 loss_mask: 0.2039 2024/01/13 21:42:36 - mmengine - INFO - Epoch(train) [4][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:40:42 time: 1.1816 data_time: 0.0509 memory: 14469 loss: 0.6443 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0316 loss_cls: 0.1728 acc: 87.1094 loss_bbox: 0.2161 loss_mask: 0.2055 2024/01/13 21:43:35 - mmengine - INFO - Epoch(train) [4][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:39:41 time: 1.1829 data_time: 0.0446 memory: 14396 loss: 0.6828 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0417 loss_cls: 0.1835 acc: 94.9219 loss_bbox: 0.2335 loss_mask: 0.2034 2024/01/13 21:44:35 - mmengine - INFO - Epoch(train) [4][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:38:41 time: 1.1999 data_time: 0.0540 memory: 14654 loss: 0.6848 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0417 loss_cls: 0.1816 acc: 96.6797 loss_bbox: 0.2327 loss_mask: 0.2115 2024/01/13 21:45:35 - mmengine - INFO - Epoch(train) [4][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:37:41 time: 1.1932 data_time: 0.0449 memory: 14194 loss: 0.6328 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0323 loss_cls: 0.1516 acc: 84.5703 loss_bbox: 0.2029 loss_mask: 0.2286 2024/01/13 21:46:34 - mmengine - INFO - Epoch(train) [4][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:36:40 time: 1.1837 data_time: 0.0569 memory: 13811 loss: 0.7120 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0426 loss_cls: 0.1980 acc: 99.4141 loss_bbox: 0.2328 loss_mask: 0.2105 2024/01/13 21:47:33 - mmengine - INFO - Epoch(train) [4][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:35:40 time: 1.1901 data_time: 0.0595 memory: 14362 loss: 0.7278 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0473 loss_cls: 0.1838 acc: 98.8281 loss_bbox: 0.2490 loss_mask: 0.2299 2024/01/13 21:47:45 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 21:48:34 - mmengine - INFO - Epoch(train) [4][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:34:41 time: 1.2064 data_time: 0.0543 memory: 14472 loss: 0.7042 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0371 loss_cls: 0.1914 acc: 92.3828 loss_bbox: 0.2280 loss_mask: 0.2263 2024/01/13 21:49:34 - mmengine - INFO - Epoch(train) [4][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:33:42 time: 1.2011 data_time: 0.0544 memory: 14355 loss: 0.6781 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0417 loss_cls: 0.1732 acc: 96.8750 loss_bbox: 0.2422 loss_mask: 0.2073 2024/01/13 21:50:33 - mmengine - INFO - Epoch(train) [4][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:32:40 time: 1.1758 data_time: 0.0579 memory: 14472 loss: 0.7956 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0512 loss_cls: 0.2260 acc: 98.0469 loss_bbox: 0.2646 loss_mask: 0.2302 2024/01/13 21:51:32 - mmengine - INFO - Epoch(train) [4][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:31:39 time: 1.1870 data_time: 0.0488 memory: 14472 loss: 0.6489 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0394 loss_cls: 0.1527 acc: 94.5312 loss_bbox: 0.2202 loss_mask: 0.2199 2024/01/13 21:52:31 - mmengine - INFO - Epoch(train) [4][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:30:38 time: 1.1828 data_time: 0.0523 memory: 13771 loss: 0.6324 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0407 loss_cls: 0.1608 acc: 88.8672 loss_bbox: 0.2102 loss_mask: 0.2030 2024/01/13 21:53:31 - mmengine - INFO - Epoch(train) [4][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:29:38 time: 1.1970 data_time: 0.0499 memory: 14472 loss: 0.6345 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0370 loss_cls: 0.1619 acc: 97.0703 loss_bbox: 0.2118 loss_mask: 0.2085 2024/01/13 21:54:06 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 21:54:06 - mmengine - INFO - Saving checkpoint at 4 epochs 2024/01/13 21:54:23 - mmengine - INFO - Epoch(val) [4][ 50/313] eta: 0:01:02 time: 0.2363 data_time: 0.0280 memory: 14263 2024/01/13 21:54:34 - mmengine - INFO - Epoch(val) [4][100/313] eta: 0:00:49 time: 0.2295 data_time: 0.0210 memory: 3311 2024/01/13 21:54:46 - mmengine - INFO - Epoch(val) [4][150/313] eta: 0:00:38 time: 0.2392 data_time: 0.0329 memory: 3368 2024/01/13 21:54:58 - mmengine - INFO - Epoch(val) [4][200/313] eta: 0:00:26 time: 0.2322 data_time: 0.0236 memory: 3331 2024/01/13 21:55:09 - mmengine - INFO - Epoch(val) [4][250/313] eta: 0:00:14 time: 0.2191 data_time: 0.0165 memory: 3368 2024/01/13 21:55:21 - mmengine - INFO - Epoch(val) [4][300/313] eta: 0:00:03 time: 0.2384 data_time: 0.0319 memory: 3331 2024/01/13 21:55:31 - mmengine - INFO - Evaluating bbox... 2024/01/13 21:55:57 - mmengine - INFO - bbox_mAP_copypaste: 0.446 0.679 0.491 0.268 0.492 0.597 2024/01/13 21:55:57 - mmengine - INFO - Evaluating segm... 2024/01/13 21:56:27 - mmengine - INFO - segm_mAP_copypaste: 0.407 0.646 0.436 0.200 0.441 0.606 2024/01/13 21:56:27 - mmengine - INFO - Epoch(val) [4][313/313] coco/bbox_mAP: 0.4460 coco/bbox_mAP_50: 0.6790 coco/bbox_mAP_75: 0.4910 coco/bbox_mAP_s: 0.2680 coco/bbox_mAP_m: 0.4920 coco/bbox_mAP_l: 0.5970 coco/segm_mAP: 0.4070 coco/segm_mAP_50: 0.6460 coco/segm_mAP_75: 0.4360 coco/segm_mAP_s: 0.2000 coco/segm_mAP_m: 0.4410 coco/segm_mAP_l: 0.6060 data_time: 0.0248 time: 0.2313 2024/01/13 21:57:28 - mmengine - INFO - Epoch(train) [5][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:28:03 time: 1.2115 data_time: 0.0680 memory: 14080 loss: 0.6697 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0422 loss_cls: 0.1743 acc: 96.2891 loss_bbox: 0.2297 loss_mask: 0.2081 2024/01/13 21:58:28 - mmengine - INFO - Epoch(train) [5][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:27:05 time: 1.2108 data_time: 0.0504 memory: 14658 loss: 0.6642 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0437 loss_cls: 0.1697 acc: 98.8281 loss_bbox: 0.2263 loss_mask: 0.2117 2024/01/13 21:59:27 - mmengine - INFO - Epoch(train) [5][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:26:03 time: 1.1807 data_time: 0.0573 memory: 14472 loss: 0.6540 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0408 loss_cls: 0.1702 acc: 93.3594 loss_bbox: 0.2310 loss_mask: 0.1901 2024/01/13 22:00:28 - mmengine - INFO - Epoch(train) [5][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:25:05 time: 1.2113 data_time: 0.0543 memory: 14328 loss: 0.7755 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0416 loss_cls: 0.2149 acc: 95.7031 loss_bbox: 0.2666 loss_mask: 0.2286 2024/01/13 22:01:28 - mmengine - INFO - Epoch(train) [5][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:24:06 time: 1.2018 data_time: 0.0514 memory: 14954 loss: 0.7508 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0502 loss_cls: 0.1965 acc: 86.5234 loss_bbox: 0.2669 loss_mask: 0.2179 2024/01/13 22:02:27 - mmengine - INFO - Epoch(train) [5][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:23:05 time: 1.1862 data_time: 0.0596 memory: 13952 loss: 0.7027 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0483 loss_cls: 0.1831 acc: 94.9219 loss_bbox: 0.2387 loss_mask: 0.2153 2024/01/13 22:03:28 - mmengine - INFO - Epoch(train) [5][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:22:06 time: 1.2035 data_time: 0.0633 memory: 14469 loss: 0.7974 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0577 loss_cls: 0.2072 acc: 98.8281 loss_bbox: 0.2821 loss_mask: 0.2257 2024/01/13 22:04:27 - mmengine - INFO - Epoch(train) [5][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:21:06 time: 1.1953 data_time: 0.0518 memory: 14472 loss: 0.6290 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0474 loss_cls: 0.1630 acc: 99.8047 loss_bbox: 0.1980 loss_mask: 0.2023 2024/01/13 22:05:28 - mmengine - INFO - Epoch(train) [5][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:20:07 time: 1.2071 data_time: 0.0490 memory: 14954 loss: 0.6432 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0417 loss_cls: 0.1618 acc: 88.2812 loss_bbox: 0.2227 loss_mask: 0.1942 2024/01/13 22:06:27 - mmengine - INFO - Epoch(train) [5][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:19:06 time: 1.1829 data_time: 0.0509 memory: 14472 loss: 0.6186 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0382 loss_cls: 0.1443 acc: 98.6328 loss_bbox: 0.2056 loss_mask: 0.2148 2024/01/13 22:07:26 - mmengine - INFO - Epoch(train) [5][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:18:05 time: 1.1804 data_time: 0.0562 memory: 14328 loss: 0.6081 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0382 loss_cls: 0.1541 acc: 89.0625 loss_bbox: 0.1994 loss_mask: 0.1991 2024/01/13 22:08:25 - mmengine - INFO - Epoch(train) [5][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:17:05 time: 1.1926 data_time: 0.0581 memory: 14032 loss: 0.6790 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0386 loss_cls: 0.1939 acc: 97.4609 loss_bbox: 0.2190 loss_mask: 0.2116 2024/01/13 22:09:25 - mmengine - INFO - Epoch(train) [5][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:16:05 time: 1.1950 data_time: 0.0467 memory: 14472 loss: 0.6444 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0395 loss_cls: 0.1676 acc: 98.0469 loss_bbox: 0.2199 loss_mask: 0.2037 2024/01/13 22:10:01 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 22:10:24 - mmengine - INFO - Epoch(train) [5][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:15:04 time: 1.1834 data_time: 0.0560 memory: 13771 loss: 0.6635 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0340 loss_cls: 0.1678 acc: 98.0469 loss_bbox: 0.2260 loss_mask: 0.2122 2024/01/13 22:11:25 - mmengine - INFO - Epoch(train) [5][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:14:05 time: 1.2098 data_time: 0.0471 memory: 14472 loss: 0.5989 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0331 loss_cls: 0.1550 acc: 97.0703 loss_bbox: 0.1994 loss_mask: 0.1934 2024/01/13 22:12:25 - mmengine - INFO - Epoch(train) [5][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:13:06 time: 1.1983 data_time: 0.0509 memory: 14644 loss: 0.6363 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0323 loss_cls: 0.1635 acc: 84.5703 loss_bbox: 0.2231 loss_mask: 0.2064 2024/01/13 22:13:24 - mmengine - INFO - Epoch(train) [5][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:12:05 time: 1.1860 data_time: 0.0509 memory: 14111 loss: 0.7453 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0356 loss_cls: 0.1998 acc: 94.5312 loss_bbox: 0.2483 loss_mask: 0.2336 2024/01/13 22:14:24 - mmengine - INFO - Epoch(train) [5][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:11:04 time: 1.1884 data_time: 0.0547 memory: 14472 loss: 0.5627 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0310 loss_cls: 0.1518 acc: 84.7656 loss_bbox: 0.1860 loss_mask: 0.1745 2024/01/13 22:15:22 - mmengine - INFO - Epoch(train) [5][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:10:03 time: 1.1759 data_time: 0.0486 memory: 14951 loss: 0.5595 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0329 loss_cls: 0.1358 acc: 93.5547 loss_bbox: 0.1913 loss_mask: 0.1875 2024/01/13 22:16:22 - mmengine - INFO - Epoch(train) [5][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:09:03 time: 1.2019 data_time: 0.0548 memory: 14954 loss: 0.6813 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0382 loss_cls: 0.1812 acc: 91.7969 loss_bbox: 0.2281 loss_mask: 0.2115 2024/01/13 22:17:22 - mmengine - INFO - Epoch(train) [5][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:08:03 time: 1.1883 data_time: 0.0603 memory: 14041 loss: 0.6887 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0418 loss_cls: 0.1739 acc: 99.0234 loss_bbox: 0.2334 loss_mask: 0.2194 2024/01/13 22:18:21 - mmengine - INFO - Epoch(train) [5][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:07:02 time: 1.1845 data_time: 0.0515 memory: 13771 loss: 0.6881 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0426 loss_cls: 0.1748 acc: 94.7266 loss_bbox: 0.2376 loss_mask: 0.2187 2024/01/13 22:19:21 - mmengine - INFO - Epoch(train) [5][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:06:02 time: 1.1915 data_time: 0.0583 memory: 14469 loss: 0.7536 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0553 loss_cls: 0.2034 acc: 85.5469 loss_bbox: 0.2578 loss_mask: 0.2082 2024/01/13 22:20:20 - mmengine - INFO - Epoch(train) [5][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:05:02 time: 1.1948 data_time: 0.0567 memory: 14472 loss: 0.6753 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0439 loss_cls: 0.1773 acc: 100.0000 loss_bbox: 0.2173 loss_mask: 0.2149 2024/01/13 22:21:20 - mmengine - INFO - Epoch(train) [5][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:04:02 time: 1.1939 data_time: 0.0601 memory: 14469 loss: 0.6043 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0418 loss_cls: 0.1473 acc: 98.6328 loss_bbox: 0.2007 loss_mask: 0.1970 2024/01/13 22:22:20 - mmengine - INFO - Epoch(train) [5][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:03:02 time: 1.1937 data_time: 0.0528 memory: 14290 loss: 0.7060 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0471 loss_cls: 0.1900 acc: 97.2656 loss_bbox: 0.2515 loss_mask: 0.1959 2024/01/13 22:23:19 - mmengine - INFO - Epoch(train) [5][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:02:01 time: 1.1918 data_time: 0.0598 memory: 14833 loss: 0.7406 loss_rpn_cls: 0.0271 loss_rpn_bbox: 0.0492 loss_cls: 0.1828 acc: 93.7500 loss_bbox: 0.2434 loss_mask: 0.2383 2024/01/13 22:24:19 - mmengine - INFO - Epoch(train) [5][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:01:02 time: 1.1952 data_time: 0.0566 memory: 14424 loss: 0.6064 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0422 loss_cls: 0.1539 acc: 94.3359 loss_bbox: 0.2002 loss_mask: 0.1921 2024/01/13 22:25:20 - mmengine - INFO - Epoch(train) [5][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:00:03 time: 1.2082 data_time: 0.0544 memory: 14472 loss: 0.7089 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0355 loss_cls: 0.1802 acc: 94.7266 loss_bbox: 0.2441 loss_mask: 0.2278 2024/01/13 22:26:19 - mmengine - INFO - Epoch(train) [5][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:59:02 time: 1.1799 data_time: 0.0656 memory: 14327 loss: 0.7158 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0463 loss_cls: 0.1932 acc: 99.8047 loss_bbox: 0.2421 loss_mask: 0.2118 2024/01/13 22:27:19 - mmengine - INFO - Epoch(train) [5][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:58:02 time: 1.1997 data_time: 0.0513 memory: 14469 loss: 0.7071 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0449 loss_cls: 0.1800 acc: 96.4844 loss_bbox: 0.2500 loss_mask: 0.2154 2024/01/13 22:28:19 - mmengine - INFO - Epoch(train) [5][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:57:03 time: 1.2041 data_time: 0.0577 memory: 14658 loss: 0.6841 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0390 loss_cls: 0.1776 acc: 99.2188 loss_bbox: 0.2250 loss_mask: 0.2253 2024/01/13 22:29:19 - mmengine - INFO - Epoch(train) [5][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:56:04 time: 1.2007 data_time: 0.0491 memory: 14472 loss: 0.6036 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0326 loss_cls: 0.1499 acc: 90.2344 loss_bbox: 0.2113 loss_mask: 0.1996 2024/01/13 22:29:55 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 22:30:19 - mmengine - INFO - Epoch(train) [5][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:55:05 time: 1.2054 data_time: 0.0551 memory: 13771 loss: 0.6207 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0349 loss_cls: 0.1539 acc: 89.6484 loss_bbox: 0.1959 loss_mask: 0.2149 2024/01/13 22:31:19 - mmengine - INFO - Epoch(train) [5][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:54:05 time: 1.1934 data_time: 0.0590 memory: 14530 loss: 0.6693 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0471 loss_cls: 0.1880 acc: 93.1641 loss_bbox: 0.2296 loss_mask: 0.1907 2024/01/13 22:32:18 - mmengine - INFO - Epoch(train) [5][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:53:04 time: 1.1894 data_time: 0.0519 memory: 14472 loss: 0.5777 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0318 loss_cls: 0.1446 acc: 97.6562 loss_bbox: 0.1931 loss_mask: 0.1918 2024/01/13 22:33:18 - mmengine - INFO - Epoch(train) [5][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:52:05 time: 1.1988 data_time: 0.0500 memory: 14038 loss: 0.6524 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0351 loss_cls: 0.1698 acc: 97.4609 loss_bbox: 0.2231 loss_mask: 0.2030 2024/01/13 22:34:18 - mmengine - INFO - Epoch(train) [5][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:51:05 time: 1.1935 data_time: 0.0479 memory: 14568 loss: 0.5727 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0302 loss_cls: 0.1416 acc: 93.1641 loss_bbox: 0.1918 loss_mask: 0.1960 2024/01/13 22:35:18 - mmengine - INFO - Epoch(train) [5][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:50:06 time: 1.2082 data_time: 0.0625 memory: 14769 loss: 0.6538 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0363 loss_cls: 0.1687 acc: 95.8984 loss_bbox: 0.2331 loss_mask: 0.1988 2024/01/13 22:36:18 - mmengine - INFO - Epoch(train) [5][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:49:05 time: 1.1887 data_time: 0.0499 memory: 14654 loss: 0.6023 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0329 loss_cls: 0.1590 acc: 91.2109 loss_bbox: 0.2022 loss_mask: 0.1951 2024/01/13 22:37:17 - mmengine - INFO - Epoch(train) [5][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:48:05 time: 1.1848 data_time: 0.0555 memory: 13952 loss: 0.6417 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0418 loss_cls: 0.1631 acc: 97.2656 loss_bbox: 0.2147 loss_mask: 0.2081 2024/01/13 22:38:17 - mmengine - INFO - Epoch(train) [5][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:47:05 time: 1.1971 data_time: 0.0534 memory: 14578 loss: 0.6345 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0352 loss_cls: 0.1482 acc: 85.1562 loss_bbox: 0.2193 loss_mask: 0.2166 2024/01/13 22:39:16 - mmengine - INFO - Epoch(train) [5][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:46:04 time: 1.1876 data_time: 0.0586 memory: 14472 loss: 0.6254 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0343 loss_cls: 0.1739 acc: 94.3359 loss_bbox: 0.1972 loss_mask: 0.2003 2024/01/13 22:40:15 - mmengine - INFO - Epoch(train) [5][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:45:04 time: 1.1850 data_time: 0.0526 memory: 14149 loss: 0.6182 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0384 loss_cls: 0.1517 acc: 98.6328 loss_bbox: 0.2038 loss_mask: 0.2094 2024/01/13 22:41:16 - mmengine - INFO - Epoch(train) [5][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:44:05 time: 1.2087 data_time: 0.0592 memory: 14954 loss: 0.6539 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0380 loss_cls: 0.1718 acc: 86.7188 loss_bbox: 0.2233 loss_mask: 0.2089 2024/01/13 22:42:15 - mmengine - INFO - Epoch(train) [5][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:43:04 time: 1.1858 data_time: 0.0533 memory: 14654 loss: 0.5590 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0425 loss_cls: 0.1433 acc: 98.2422 loss_bbox: 0.1812 loss_mask: 0.1743 2024/01/13 22:43:16 - mmengine - INFO - Epoch(train) [5][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:42:06 time: 1.2158 data_time: 0.0575 memory: 14134 loss: 0.5974 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0368 loss_cls: 0.1520 acc: 97.2656 loss_bbox: 0.2047 loss_mask: 0.1919 2024/01/13 22:44:16 - mmengine - INFO - Epoch(train) [5][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:41:06 time: 1.1928 data_time: 0.0504 memory: 14438 loss: 0.6105 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0390 loss_cls: 0.1392 acc: 96.8750 loss_bbox: 0.1963 loss_mask: 0.2200 2024/01/13 22:45:16 - mmengine - INFO - Epoch(train) [5][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:40:06 time: 1.1984 data_time: 0.0584 memory: 14951 loss: 0.6630 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0425 loss_cls: 0.1604 acc: 80.6641 loss_bbox: 0.2330 loss_mask: 0.2077 2024/01/13 22:46:16 - mmengine - INFO - Epoch(train) [5][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:39:08 time: 1.2075 data_time: 0.0610 memory: 14472 loss: 0.6988 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0499 loss_cls: 0.1699 acc: 85.9375 loss_bbox: 0.2455 loss_mask: 0.2171 2024/01/13 22:47:16 - mmengine - INFO - Epoch(train) [5][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:38:08 time: 1.1918 data_time: 0.0507 memory: 14327 loss: 0.4736 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0259 loss_cls: 0.1162 acc: 95.3125 loss_bbox: 0.1524 loss_mask: 0.1699 2024/01/13 22:48:15 - mmengine - INFO - Epoch(train) [5][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:37:08 time: 1.1973 data_time: 0.0523 memory: 14953 loss: 0.6818 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0340 loss_cls: 0.1744 acc: 95.3125 loss_bbox: 0.2447 loss_mask: 0.2166 2024/01/13 22:49:15 - mmengine - INFO - Epoch(train) [5][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:36:08 time: 1.1951 data_time: 0.0597 memory: 14424 loss: 0.6722 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0445 loss_cls: 0.1759 acc: 100.0000 loss_bbox: 0.2204 loss_mask: 0.2097 2024/01/13 22:49:51 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 22:50:15 - mmengine - INFO - Epoch(train) [5][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:35:08 time: 1.1987 data_time: 0.0558 memory: 14954 loss: 0.5650 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0321 loss_cls: 0.1350 acc: 95.7031 loss_bbox: 0.1831 loss_mask: 0.2018 2024/01/13 22:51:15 - mmengine - INFO - Epoch(train) [5][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:34:09 time: 1.2013 data_time: 0.0621 memory: 14431 loss: 0.7379 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0400 loss_cls: 0.1911 acc: 98.0469 loss_bbox: 0.2632 loss_mask: 0.2200 2024/01/13 22:52:15 - mmengine - INFO - Epoch(train) [5][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:33:10 time: 1.1998 data_time: 0.0605 memory: 14472 loss: 0.7031 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0424 loss_cls: 0.1828 acc: 85.1562 loss_bbox: 0.2318 loss_mask: 0.2277 2024/01/13 22:53:15 - mmengine - INFO - Epoch(train) [5][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:32:11 time: 1.2051 data_time: 0.0606 memory: 14472 loss: 0.6963 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0444 loss_cls: 0.1750 acc: 98.8281 loss_bbox: 0.2394 loss_mask: 0.2176 2024/01/13 22:54:15 - mmengine - INFO - Epoch(train) [5][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:31:10 time: 1.1912 data_time: 0.0519 memory: 14246 loss: 0.6621 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0502 loss_cls: 0.1647 acc: 92.1875 loss_bbox: 0.2211 loss_mask: 0.2006 2024/01/13 22:55:15 - mmengine - INFO - Epoch(train) [5][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:30:11 time: 1.1975 data_time: 0.0505 memory: 13973 loss: 0.5748 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0309 loss_cls: 0.1491 acc: 92.7734 loss_bbox: 0.1935 loss_mask: 0.1868 2024/01/13 22:56:14 - mmengine - INFO - Epoch(train) [5][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:29:09 time: 1.1734 data_time: 0.0433 memory: 14383 loss: 0.6230 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0371 loss_cls: 0.1494 acc: 84.5703 loss_bbox: 0.2051 loss_mask: 0.2077 2024/01/13 22:57:14 - mmengine - INFO - Epoch(train) [5][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:28:10 time: 1.2023 data_time: 0.0541 memory: 14469 loss: 0.6877 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0359 loss_cls: 0.1719 acc: 93.5547 loss_bbox: 0.2316 loss_mask: 0.2329 2024/01/13 22:58:13 - mmengine - INFO - Epoch(train) [5][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:27:09 time: 1.1881 data_time: 0.0559 memory: 14134 loss: 0.7337 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0481 loss_cls: 0.1962 acc: 99.6094 loss_bbox: 0.2459 loss_mask: 0.2132 2024/01/13 22:59:12 - mmengine - INFO - Epoch(train) [5][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:26:09 time: 1.1882 data_time: 0.0582 memory: 14076 loss: 0.6690 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0392 loss_cls: 0.1861 acc: 93.7500 loss_bbox: 0.2179 loss_mask: 0.2037 2024/01/13 23:00:13 - mmengine - INFO - Epoch(train) [5][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:25:09 time: 1.2010 data_time: 0.0625 memory: 14428 loss: 0.6838 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0472 loss_cls: 0.1738 acc: 90.4297 loss_bbox: 0.2297 loss_mask: 0.2127 2024/01/13 23:01:13 - mmengine - INFO - Epoch(train) [5][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:24:11 time: 1.2133 data_time: 0.0580 memory: 14954 loss: 0.6771 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0397 loss_cls: 0.1762 acc: 92.9688 loss_bbox: 0.2275 loss_mask: 0.2064 2024/01/13 23:02:13 - mmengine - INFO - Epoch(train) [5][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:23:10 time: 1.1891 data_time: 0.0662 memory: 14472 loss: 0.6826 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0415 loss_cls: 0.1748 acc: 83.3984 loss_bbox: 0.2326 loss_mask: 0.2164 2024/01/13 23:03:12 - mmengine - INFO - Epoch(train) [5][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:22:09 time: 1.1817 data_time: 0.0525 memory: 13952 loss: 0.6242 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0369 loss_cls: 0.1610 acc: 92.5781 loss_bbox: 0.2018 loss_mask: 0.2090 2024/01/13 23:04:13 - mmengine - INFO - Epoch(train) [5][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:21:12 time: 1.2213 data_time: 0.0506 memory: 14658 loss: 0.5797 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0303 loss_cls: 0.1530 acc: 91.7969 loss_bbox: 0.1944 loss_mask: 0.1902 2024/01/13 23:05:12 - mmengine - INFO - Epoch(train) [5][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:20:12 time: 1.1928 data_time: 0.0549 memory: 14026 loss: 0.6581 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0418 loss_cls: 0.1742 acc: 87.3047 loss_bbox: 0.2158 loss_mask: 0.2074 2024/01/13 23:06:13 - mmengine - INFO - Epoch(train) [5][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:19:13 time: 1.2125 data_time: 0.0536 memory: 14472 loss: 0.7005 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0439 loss_cls: 0.1816 acc: 94.1406 loss_bbox: 0.2486 loss_mask: 0.2051 2024/01/13 23:07:12 - mmengine - INFO - Epoch(train) [5][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:18:13 time: 1.1876 data_time: 0.0448 memory: 14472 loss: 0.5744 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0277 loss_cls: 0.1395 acc: 99.2188 loss_bbox: 0.1921 loss_mask: 0.2022 2024/01/13 23:08:12 - mmengine - INFO - Epoch(train) [5][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:17:13 time: 1.1927 data_time: 0.0489 memory: 14472 loss: 0.6171 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0363 loss_cls: 0.1404 acc: 89.4531 loss_bbox: 0.1894 loss_mask: 0.2326 2024/01/13 23:09:12 - mmengine - INFO - Epoch(train) [5][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:16:12 time: 1.1883 data_time: 0.0521 memory: 14138 loss: 0.6496 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0366 loss_cls: 0.1572 acc: 99.8047 loss_bbox: 0.2118 loss_mask: 0.2255 2024/01/13 23:09:47 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 23:10:11 - mmengine - INFO - Epoch(train) [5][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:15:12 time: 1.1949 data_time: 0.0537 memory: 14495 loss: 0.5712 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0349 loss_cls: 0.1408 acc: 85.5469 loss_bbox: 0.1774 loss_mask: 0.1962 2024/01/13 23:11:11 - mmengine - INFO - Epoch(train) [5][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:14:12 time: 1.1901 data_time: 0.0408 memory: 14404 loss: 0.5070 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0230 loss_cls: 0.1148 acc: 99.6094 loss_bbox: 0.1656 loss_mask: 0.1919 2024/01/13 23:12:10 - mmengine - INFO - Epoch(train) [5][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:13:11 time: 1.1796 data_time: 0.0440 memory: 14472 loss: 0.6272 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0451 loss_cls: 0.1578 acc: 97.6562 loss_bbox: 0.2049 loss_mask: 0.1981 2024/01/13 23:13:10 - mmengine - INFO - Epoch(train) [5][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:12:12 time: 1.2041 data_time: 0.0509 memory: 14423 loss: 0.6894 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0448 loss_cls: 0.1680 acc: 93.9453 loss_bbox: 0.2384 loss_mask: 0.2203 2024/01/13 23:14:10 - mmengine - INFO - Epoch(train) [5][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:11:12 time: 1.1926 data_time: 0.0536 memory: 14475 loss: 0.7059 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0433 loss_cls: 0.1921 acc: 95.8984 loss_bbox: 0.2393 loss_mask: 0.2095 2024/01/13 23:15:09 - mmengine - INFO - Epoch(train) [5][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:10:12 time: 1.1962 data_time: 0.0510 memory: 14946 loss: 0.6090 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0325 loss_cls: 0.1501 acc: 99.6094 loss_bbox: 0.1930 loss_mask: 0.2165 2024/01/13 23:16:10 - mmengine - INFO - Epoch(train) [5][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:09:13 time: 1.2030 data_time: 0.0533 memory: 14560 loss: 0.6391 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0361 loss_cls: 0.1663 acc: 87.1094 loss_bbox: 0.2171 loss_mask: 0.2005 2024/01/13 23:17:10 - mmengine - INFO - Epoch(train) [5][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:08:14 time: 1.2073 data_time: 0.0517 memory: 14954 loss: 0.6323 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0287 loss_cls: 0.1643 acc: 92.3828 loss_bbox: 0.2127 loss_mask: 0.2081 2024/01/13 23:18:10 - mmengine - INFO - Epoch(train) [5][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:07:15 time: 1.2046 data_time: 0.0525 memory: 14954 loss: 0.7065 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0464 loss_cls: 0.1878 acc: 94.5312 loss_bbox: 0.2476 loss_mask: 0.2067 2024/01/13 23:19:10 - mmengine - INFO - Epoch(train) [5][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:06:14 time: 1.1921 data_time: 0.0493 memory: 13811 loss: 0.6187 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0334 loss_cls: 0.1616 acc: 99.6094 loss_bbox: 0.2089 loss_mask: 0.1994 2024/01/13 23:20:10 - mmengine - INFO - Epoch(train) [5][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:05:15 time: 1.2048 data_time: 0.0514 memory: 13952 loss: 0.6663 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0485 loss_cls: 0.1675 acc: 77.9297 loss_bbox: 0.2285 loss_mask: 0.2012 2024/01/13 23:21:11 - mmengine - INFO - Epoch(train) [5][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:04:17 time: 1.2128 data_time: 0.0532 memory: 14328 loss: 0.6295 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0372 loss_cls: 0.1765 acc: 98.6328 loss_bbox: 0.2123 loss_mask: 0.1860 2024/01/13 23:22:11 - mmengine - INFO - Epoch(train) [5][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:03:17 time: 1.1992 data_time: 0.0675 memory: 14472 loss: 0.6829 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0477 loss_cls: 0.1883 acc: 99.2188 loss_bbox: 0.2323 loss_mask: 0.1971 2024/01/13 23:23:10 - mmengine - INFO - Epoch(train) [5][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:02:16 time: 1.1813 data_time: 0.0451 memory: 14034 loss: 0.5404 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0252 loss_cls: 0.1388 acc: 86.7188 loss_bbox: 0.1793 loss_mask: 0.1869 2024/01/13 23:24:09 - mmengine - INFO - Epoch(train) [5][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:01:16 time: 1.1918 data_time: 0.0436 memory: 14472 loss: 0.5304 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0255 loss_cls: 0.1354 acc: 91.6016 loss_bbox: 0.1755 loss_mask: 0.1804 2024/01/13 23:25:09 - mmengine - INFO - Epoch(train) [5][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:00:17 time: 1.2002 data_time: 0.0485 memory: 14414 loss: 0.5769 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0326 loss_cls: 0.1493 acc: 96.8750 loss_bbox: 0.1851 loss_mask: 0.1924 2024/01/13 23:26:09 - mmengine - INFO - Epoch(train) [5][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:59:17 time: 1.1940 data_time: 0.0674 memory: 14423 loss: 0.6612 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0460 loss_cls: 0.1572 acc: 99.2188 loss_bbox: 0.2253 loss_mask: 0.2133 2024/01/13 23:27:09 - mmengine - INFO - Epoch(train) [5][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:58:17 time: 1.1983 data_time: 0.0590 memory: 14918 loss: 0.6955 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0536 loss_cls: 0.1803 acc: 97.4609 loss_bbox: 0.2227 loss_mask: 0.2181 2024/01/13 23:28:08 - mmengine - INFO - Epoch(train) [5][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:57:17 time: 1.1864 data_time: 0.0448 memory: 14041 loss: 0.6288 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0363 loss_cls: 0.1604 acc: 97.6562 loss_bbox: 0.2142 loss_mask: 0.2019 2024/01/13 23:29:08 - mmengine - INFO - Epoch(train) [5][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:56:17 time: 1.2008 data_time: 0.0542 memory: 14030 loss: 0.6916 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0455 loss_cls: 0.1864 acc: 99.4141 loss_bbox: 0.2222 loss_mask: 0.2177 2024/01/13 23:29:44 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 23:30:08 - mmengine - INFO - Epoch(train) [5][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:55:17 time: 1.1974 data_time: 0.0559 memory: 14435 loss: 0.6958 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0346 loss_cls: 0.1890 acc: 96.0938 loss_bbox: 0.2337 loss_mask: 0.2244 2024/01/13 23:31:08 - mmengine - INFO - Epoch(train) [5][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:54:18 time: 1.2011 data_time: 0.0583 memory: 14954 loss: 0.7803 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0557 loss_cls: 0.2014 acc: 99.2188 loss_bbox: 0.2637 loss_mask: 0.2319 2024/01/13 23:32:09 - mmengine - INFO - Epoch(train) [5][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:53:19 time: 1.2056 data_time: 0.0565 memory: 14527 loss: 0.6403 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0355 loss_cls: 0.1645 acc: 98.8281 loss_bbox: 0.2178 loss_mask: 0.2078 2024/01/13 23:33:08 - mmengine - INFO - Epoch(train) [5][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:52:19 time: 1.1901 data_time: 0.0543 memory: 14246 loss: 0.6143 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0371 loss_cls: 0.1472 acc: 98.8281 loss_bbox: 0.2085 loss_mask: 0.2030 2024/01/13 23:34:08 - mmengine - INFO - Epoch(train) [5][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:51:18 time: 1.1892 data_time: 0.0496 memory: 13771 loss: 0.6570 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0353 loss_cls: 0.1691 acc: 91.9922 loss_bbox: 0.2347 loss_mask: 0.2014 2024/01/13 23:35:07 - mmengine - INFO - Epoch(train) [5][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:50:18 time: 1.1957 data_time: 0.0548 memory: 13952 loss: 0.6837 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0363 loss_cls: 0.1877 acc: 85.1562 loss_bbox: 0.2339 loss_mask: 0.2068 2024/01/13 23:36:07 - mmengine - INFO - Epoch(train) [5][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:49:19 time: 1.1948 data_time: 0.0491 memory: 13771 loss: 0.6228 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0419 loss_cls: 0.1627 acc: 93.5547 loss_bbox: 0.2027 loss_mask: 0.2002 2024/01/13 23:37:07 - mmengine - INFO - Epoch(train) [5][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:48:18 time: 1.1892 data_time: 0.0626 memory: 14918 loss: 0.7250 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0389 loss_cls: 0.1879 acc: 97.8516 loss_bbox: 0.2468 loss_mask: 0.2342 2024/01/13 23:38:06 - mmengine - INFO - Epoch(train) [5][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:47:18 time: 1.1876 data_time: 0.0581 memory: 14328 loss: 0.6555 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0430 loss_cls: 0.1606 acc: 92.1875 loss_bbox: 0.2180 loss_mask: 0.2106 2024/01/13 23:39:06 - mmengine - INFO - Epoch(train) [5][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:46:18 time: 1.1939 data_time: 0.0564 memory: 14041 loss: 0.6854 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0345 loss_cls: 0.1642 acc: 95.7031 loss_bbox: 0.2377 loss_mask: 0.2287 2024/01/13 23:40:05 - mmengine - INFO - Epoch(train) [5][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:45:17 time: 1.1843 data_time: 0.0549 memory: 14073 loss: 0.6119 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0348 loss_cls: 0.1571 acc: 92.3828 loss_bbox: 0.2024 loss_mask: 0.2044 2024/01/13 23:41:05 - mmengine - INFO - Epoch(train) [5][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:44:18 time: 1.2078 data_time: 0.0522 memory: 14595 loss: 0.6090 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0293 loss_cls: 0.1726 acc: 93.5547 loss_bbox: 0.1986 loss_mask: 0.1924 2024/01/13 23:42:05 - mmengine - INFO - Epoch(train) [5][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:43:19 time: 1.2050 data_time: 0.0606 memory: 14187 loss: 0.7852 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0543 loss_cls: 0.2032 acc: 97.8516 loss_bbox: 0.2702 loss_mask: 0.2324 2024/01/13 23:43:05 - mmengine - INFO - Epoch(train) [5][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:42:19 time: 1.1989 data_time: 0.0553 memory: 13811 loss: 0.6411 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0458 loss_cls: 0.1678 acc: 99.4141 loss_bbox: 0.2078 loss_mask: 0.1937 2024/01/13 23:44:06 - mmengine - INFO - Epoch(train) [5][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:41:21 time: 1.2132 data_time: 0.0508 memory: 13811 loss: 0.6689 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0395 loss_cls: 0.1756 acc: 85.3516 loss_bbox: 0.2199 loss_mask: 0.2155 2024/01/13 23:45:07 - mmengine - INFO - Epoch(train) [5][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:40:22 time: 1.2109 data_time: 0.0628 memory: 14424 loss: 0.6779 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0522 loss_cls: 0.1757 acc: 94.9219 loss_bbox: 0.2328 loss_mask: 0.1903 2024/01/13 23:46:06 - mmengine - INFO - Epoch(train) [5][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:39:22 time: 1.1852 data_time: 0.0606 memory: 14448 loss: 0.6745 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0388 loss_cls: 0.1750 acc: 94.5312 loss_bbox: 0.2236 loss_mask: 0.2214 2024/01/13 23:47:05 - mmengine - INFO - Epoch(train) [5][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:38:21 time: 1.1907 data_time: 0.0598 memory: 14472 loss: 0.6323 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0408 loss_cls: 0.1564 acc: 91.7969 loss_bbox: 0.2092 loss_mask: 0.2058 2024/01/13 23:48:05 - mmengine - INFO - Epoch(train) [5][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:37:21 time: 1.1900 data_time: 0.0533 memory: 13771 loss: 0.7365 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0456 loss_cls: 0.1926 acc: 87.3047 loss_bbox: 0.2386 loss_mask: 0.2424 2024/01/13 23:49:06 - mmengine - INFO - Epoch(train) [5][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:36:24 time: 1.2248 data_time: 0.0571 memory: 14954 loss: 0.6723 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0376 loss_cls: 0.1862 acc: 90.2344 loss_bbox: 0.2195 loss_mask: 0.2133 2024/01/13 23:49:42 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/13 23:50:06 - mmengine - INFO - Epoch(train) [5][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:35:24 time: 1.2046 data_time: 0.0466 memory: 14567 loss: 0.6033 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0363 loss_cls: 0.1477 acc: 100.0000 loss_bbox: 0.1879 loss_mask: 0.2026 2024/01/13 23:51:07 - mmengine - INFO - Epoch(train) [5][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:34:25 time: 1.2080 data_time: 0.0500 memory: 14423 loss: 0.6632 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0321 loss_cls: 0.1728 acc: 88.6719 loss_bbox: 0.2072 loss_mask: 0.2355 2024/01/13 23:52:07 - mmengine - INFO - Epoch(train) [5][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:33:26 time: 1.1965 data_time: 0.0615 memory: 14472 loss: 0.6317 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0375 loss_cls: 0.1552 acc: 90.0391 loss_bbox: 0.2191 loss_mask: 0.2059 2024/01/13 23:53:06 - mmengine - INFO - Epoch(train) [5][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:32:25 time: 1.1903 data_time: 0.0553 memory: 14464 loss: 0.6592 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0438 loss_cls: 0.1773 acc: 98.2422 loss_bbox: 0.2229 loss_mask: 0.2021 2024/01/13 23:54:06 - mmengine - INFO - Epoch(train) [5][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:31:26 time: 1.1949 data_time: 0.0557 memory: 14694 loss: 0.6334 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0353 loss_cls: 0.1580 acc: 94.3359 loss_bbox: 0.2221 loss_mask: 0.1976 2024/01/13 23:55:05 - mmengine - INFO - Epoch(train) [5][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:30:25 time: 1.1903 data_time: 0.0520 memory: 14629 loss: 0.6573 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0286 loss_cls: 0.1783 acc: 75.0000 loss_bbox: 0.2179 loss_mask: 0.2175 2024/01/13 23:56:05 - mmengine - INFO - Epoch(train) [5][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:29:25 time: 1.1921 data_time: 0.0492 memory: 14567 loss: 0.6093 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0326 loss_cls: 0.1509 acc: 98.4375 loss_bbox: 0.1915 loss_mask: 0.2180 2024/01/13 23:57:06 - mmengine - INFO - Epoch(train) [5][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:28:28 time: 1.2254 data_time: 0.0553 memory: 14864 loss: 0.6286 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0441 loss_cls: 0.1726 acc: 91.7969 loss_bbox: 0.2120 loss_mask: 0.1771 2024/01/13 23:58:06 - mmengine - INFO - Epoch(train) [5][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:27:27 time: 1.1921 data_time: 0.0600 memory: 14954 loss: 0.6372 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0372 loss_cls: 0.1515 acc: 98.2422 loss_bbox: 0.2128 loss_mask: 0.2208 2024/01/13 23:59:07 - mmengine - INFO - Epoch(train) [5][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:26:29 time: 1.2188 data_time: 0.0570 memory: 14953 loss: 0.7115 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0422 loss_cls: 0.1898 acc: 97.8516 loss_bbox: 0.2427 loss_mask: 0.2140 2024/01/14 00:00:06 - mmengine - INFO - Epoch(train) [5][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:25:28 time: 1.1809 data_time: 0.0576 memory: 14328 loss: 0.7091 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0407 loss_cls: 0.1878 acc: 94.9219 loss_bbox: 0.2412 loss_mask: 0.2203 2024/01/14 00:01:06 - mmengine - INFO - Epoch(train) [5][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:24:28 time: 1.1948 data_time: 0.0552 memory: 14224 loss: 0.6383 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0380 loss_cls: 0.1608 acc: 86.1328 loss_bbox: 0.2184 loss_mask: 0.2107 2024/01/14 00:02:05 - mmengine - INFO - Epoch(train) [5][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:23:29 time: 1.1955 data_time: 0.0565 memory: 14460 loss: 0.6763 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0363 loss_cls: 0.1785 acc: 90.2344 loss_bbox: 0.2135 loss_mask: 0.2256 2024/01/14 00:03:05 - mmengine - INFO - Epoch(train) [5][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:22:29 time: 1.1952 data_time: 0.0558 memory: 14472 loss: 0.6057 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0426 loss_cls: 0.1452 acc: 88.4766 loss_bbox: 0.1949 loss_mask: 0.2044 2024/01/14 00:04:05 - mmengine - INFO - Epoch(train) [5][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:21:28 time: 1.1897 data_time: 0.0536 memory: 13771 loss: 0.6339 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0376 loss_cls: 0.1615 acc: 94.7266 loss_bbox: 0.2065 loss_mask: 0.2040 2024/01/14 00:05:04 - mmengine - INFO - Epoch(train) [5][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:20:28 time: 1.1951 data_time: 0.0623 memory: 14625 loss: 0.7148 loss_rpn_cls: 0.0315 loss_rpn_bbox: 0.0477 loss_cls: 0.1876 acc: 99.6094 loss_bbox: 0.2390 loss_mask: 0.2090 2024/01/14 00:06:04 - mmengine - INFO - Epoch(train) [5][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:19:28 time: 1.1867 data_time: 0.0526 memory: 14472 loss: 0.7424 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0487 loss_cls: 0.2017 acc: 89.8438 loss_bbox: 0.2494 loss_mask: 0.2185 2024/01/14 00:07:04 - mmengine - INFO - Epoch(train) [5][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:18:29 time: 1.2038 data_time: 0.0513 memory: 14954 loss: 0.6520 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0412 loss_cls: 0.1641 acc: 91.0156 loss_bbox: 0.2077 loss_mask: 0.2216 2024/01/14 00:08:04 - mmengine - INFO - Epoch(train) [5][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:17:29 time: 1.1908 data_time: 0.0542 memory: 13997 loss: 0.6906 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0443 loss_cls: 0.1865 acc: 87.6953 loss_bbox: 0.2260 loss_mask: 0.2139 2024/01/14 00:09:03 - mmengine - INFO - Epoch(train) [5][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:16:28 time: 1.1896 data_time: 0.0577 memory: 14327 loss: 0.6980 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0434 loss_cls: 0.1791 acc: 92.1875 loss_bbox: 0.2352 loss_mask: 0.2184 2024/01/14 00:09:39 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 00:10:03 - mmengine - INFO - Epoch(train) [5][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:15:29 time: 1.1977 data_time: 0.0561 memory: 14609 loss: 0.5986 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0301 loss_cls: 0.1607 acc: 97.0703 loss_bbox: 0.1947 loss_mask: 0.1997 2024/01/14 00:11:03 - mmengine - INFO - Epoch(train) [5][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:14:29 time: 1.2065 data_time: 0.0572 memory: 14954 loss: 0.6855 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0439 loss_cls: 0.1815 acc: 99.2188 loss_bbox: 0.2359 loss_mask: 0.1973 2024/01/14 00:12:03 - mmengine - INFO - Epoch(train) [5][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:13:29 time: 1.1930 data_time: 0.0565 memory: 14423 loss: 0.6537 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0424 loss_cls: 0.1543 acc: 86.1328 loss_bbox: 0.2286 loss_mask: 0.2082 2024/01/14 00:13:02 - mmengine - INFO - Epoch(train) [5][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:12:29 time: 1.1889 data_time: 0.0465 memory: 14424 loss: 0.6408 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0365 loss_cls: 0.1596 acc: 98.0469 loss_bbox: 0.2117 loss_mask: 0.2111 2024/01/14 00:14:02 - mmengine - INFO - Epoch(train) [5][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:11:30 time: 1.1988 data_time: 0.0532 memory: 14954 loss: 0.5821 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0397 loss_cls: 0.1407 acc: 85.3516 loss_bbox: 0.1936 loss_mask: 0.1922 2024/01/14 00:15:03 - mmengine - INFO - Epoch(train) [5][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:10:31 time: 1.2143 data_time: 0.0544 memory: 14954 loss: 0.6292 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0418 loss_cls: 0.1485 acc: 99.8047 loss_bbox: 0.2130 loss_mask: 0.2077 2024/01/14 00:16:03 - mmengine - INFO - Epoch(train) [5][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:09:31 time: 1.1971 data_time: 0.0584 memory: 13841 loss: 0.6666 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0481 loss_cls: 0.1765 acc: 92.5781 loss_bbox: 0.2122 loss_mask: 0.2117 2024/01/14 00:17:03 - mmengine - INFO - Epoch(train) [5][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:08:32 time: 1.1986 data_time: 0.0498 memory: 13771 loss: 0.6004 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0331 loss_cls: 0.1539 acc: 99.4141 loss_bbox: 0.2029 loss_mask: 0.2021 2024/01/14 00:18:02 - mmengine - INFO - Epoch(train) [5][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:07:30 time: 1.1750 data_time: 0.0497 memory: 13952 loss: 0.6669 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0398 loss_cls: 0.1692 acc: 97.2656 loss_bbox: 0.1986 loss_mask: 0.2361 2024/01/14 00:19:01 - mmengine - INFO - Epoch(train) [5][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:06:30 time: 1.1872 data_time: 0.0629 memory: 14712 loss: 0.6450 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0369 loss_cls: 0.1721 acc: 97.6562 loss_bbox: 0.2129 loss_mask: 0.2076 2024/01/14 00:20:00 - mmengine - INFO - Epoch(train) [5][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:05:29 time: 1.1885 data_time: 0.0533 memory: 14672 loss: 0.6263 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0446 loss_cls: 0.1536 acc: 91.6016 loss_bbox: 0.2076 loss_mask: 0.1958 2024/01/14 00:21:00 - mmengine - INFO - Epoch(train) [5][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:04:30 time: 1.1949 data_time: 0.0638 memory: 14469 loss: 0.7536 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0475 loss_cls: 0.2150 acc: 83.7891 loss_bbox: 0.2519 loss_mask: 0.2146 2024/01/14 00:22:00 - mmengine - INFO - Epoch(train) [5][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:03:30 time: 1.2053 data_time: 0.0541 memory: 14472 loss: 0.7508 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0407 loss_cls: 0.1935 acc: 99.8047 loss_bbox: 0.2427 loss_mask: 0.2529 2024/01/14 00:22:36 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 00:22:36 - mmengine - INFO - Saving checkpoint at 5 epochs 2024/01/14 00:22:53 - mmengine - INFO - Epoch(val) [5][ 50/313] eta: 0:01:02 time: 0.2385 data_time: 0.0314 memory: 14472 2024/01/14 00:23:05 - mmengine - INFO - Epoch(val) [5][100/313] eta: 0:00:49 time: 0.2285 data_time: 0.0213 memory: 3311 2024/01/14 00:23:16 - mmengine - INFO - Epoch(val) [5][150/313] eta: 0:00:38 time: 0.2325 data_time: 0.0294 memory: 3368 2024/01/14 00:23:28 - mmengine - INFO - Epoch(val) [5][200/313] eta: 0:00:26 time: 0.2295 data_time: 0.0222 memory: 3331 2024/01/14 00:23:39 - mmengine - INFO - Epoch(val) [5][250/313] eta: 0:00:14 time: 0.2215 data_time: 0.0217 memory: 3368 2024/01/14 00:23:50 - mmengine - INFO - Epoch(val) [5][300/313] eta: 0:00:02 time: 0.2276 data_time: 0.0233 memory: 3331 2024/01/14 00:24:00 - mmengine - INFO - Evaluating bbox... 2024/01/14 00:24:24 - mmengine - INFO - bbox_mAP_copypaste: 0.452 0.681 0.496 0.288 0.492 0.601 2024/01/14 00:24:24 - mmengine - INFO - Evaluating segm... 2024/01/14 00:24:51 - mmengine - INFO - segm_mAP_copypaste: 0.410 0.650 0.438 0.219 0.441 0.597 2024/01/14 00:24:52 - mmengine - INFO - Epoch(val) [5][313/313] coco/bbox_mAP: 0.4520 coco/bbox_mAP_50: 0.6810 coco/bbox_mAP_75: 0.4960 coco/bbox_mAP_s: 0.2880 coco/bbox_mAP_m: 0.4920 coco/bbox_mAP_l: 0.6010 coco/segm_mAP: 0.4100 coco/segm_mAP_50: 0.6500 coco/segm_mAP_75: 0.4380 coco/segm_mAP_s: 0.2190 coco/segm_mAP_m: 0.4410 coco/segm_mAP_l: 0.5970 data_time: 0.0240 time: 0.2285 2024/01/14 00:25:53 - mmengine - INFO - Epoch(train) [6][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:01:56 time: 1.2229 data_time: 0.0574 memory: 14252 loss: 0.6299 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0352 loss_cls: 0.1564 acc: 97.6562 loss_bbox: 0.2093 loss_mask: 0.2166 2024/01/14 00:26:54 - mmengine - INFO - Epoch(train) [6][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:00:58 time: 1.2146 data_time: 0.0523 memory: 14423 loss: 0.6159 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0399 loss_cls: 0.1619 acc: 88.6719 loss_bbox: 0.2079 loss_mask: 0.1902 2024/01/14 00:27:53 - mmengine - INFO - Epoch(train) [6][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:59:58 time: 1.1937 data_time: 0.0561 memory: 14463 loss: 0.6113 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0341 loss_cls: 0.1586 acc: 94.5312 loss_bbox: 0.2009 loss_mask: 0.1988 2024/01/14 00:28:53 - mmengine - INFO - Epoch(train) [6][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:58:57 time: 1.1885 data_time: 0.0472 memory: 14041 loss: 0.5616 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0293 loss_cls: 0.1463 acc: 84.7656 loss_bbox: 0.1919 loss_mask: 0.1824 2024/01/14 00:29:53 - mmengine - INFO - Epoch(train) [6][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:57:58 time: 1.2030 data_time: 0.0585 memory: 14954 loss: 0.6476 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0380 loss_cls: 0.1705 acc: 91.2109 loss_bbox: 0.2180 loss_mask: 0.2040 2024/01/14 00:30:54 - mmengine - INFO - Epoch(train) [6][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:56:59 time: 1.2123 data_time: 0.0600 memory: 14472 loss: 0.5767 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0346 loss_cls: 0.1382 acc: 83.3984 loss_bbox: 0.1970 loss_mask: 0.1889 2024/01/14 00:31:54 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 00:31:54 - mmengine - INFO - Epoch(train) [6][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:55:59 time: 1.1966 data_time: 0.0501 memory: 14506 loss: 0.6341 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0328 loss_cls: 0.1684 acc: 99.4141 loss_bbox: 0.2005 loss_mask: 0.2170 2024/01/14 00:32:53 - mmengine - INFO - Epoch(train) [6][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:54:59 time: 1.1834 data_time: 0.0625 memory: 13952 loss: 0.6849 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0442 loss_cls: 0.1649 acc: 84.7656 loss_bbox: 0.2350 loss_mask: 0.2198 2024/01/14 00:33:53 - mmengine - INFO - Epoch(train) [6][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:54:00 time: 1.2086 data_time: 0.0640 memory: 14423 loss: 0.6920 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0433 loss_cls: 0.1840 acc: 89.4531 loss_bbox: 0.2396 loss_mask: 0.2082 2024/01/14 00:34:53 - mmengine - INFO - Epoch(train) [6][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:53:00 time: 1.2037 data_time: 0.0569 memory: 14954 loss: 0.6248 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0395 loss_cls: 0.1481 acc: 85.7422 loss_bbox: 0.2129 loss_mask: 0.2069 2024/01/14 00:35:52 - mmengine - INFO - Epoch(train) [6][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:51:59 time: 1.1681 data_time: 0.0502 memory: 13960 loss: 0.5373 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0387 loss_cls: 0.1283 acc: 92.5781 loss_bbox: 0.1738 loss_mask: 0.1815 2024/01/14 00:36:51 - mmengine - INFO - Epoch(train) [6][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:50:59 time: 1.1924 data_time: 0.0505 memory: 14401 loss: 0.5251 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0322 loss_cls: 0.1232 acc: 93.1641 loss_bbox: 0.1779 loss_mask: 0.1790 2024/01/14 00:37:52 - mmengine - INFO - Epoch(train) [6][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:50:00 time: 1.2159 data_time: 0.0537 memory: 14954 loss: 0.5908 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0387 loss_cls: 0.1514 acc: 97.6562 loss_bbox: 0.1915 loss_mask: 0.1942 2024/01/14 00:38:52 - mmengine - INFO - Epoch(train) [6][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:49:01 time: 1.2029 data_time: 0.0647 memory: 14954 loss: 0.7077 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0469 loss_cls: 0.1836 acc: 98.8281 loss_bbox: 0.2507 loss_mask: 0.2089 2024/01/14 00:39:53 - mmengine - INFO - Epoch(train) [6][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:48:02 time: 1.2092 data_time: 0.0554 memory: 14324 loss: 0.6821 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0434 loss_cls: 0.1880 acc: 97.8516 loss_bbox: 0.2329 loss_mask: 0.2042 2024/01/14 00:40:52 - mmengine - INFO - Epoch(train) [6][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:47:02 time: 1.1915 data_time: 0.0567 memory: 14324 loss: 0.6599 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0431 loss_cls: 0.1662 acc: 99.6094 loss_bbox: 0.2339 loss_mask: 0.2008 2024/01/14 00:41:51 - mmengine - INFO - Epoch(train) [6][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:46:01 time: 1.1770 data_time: 0.0584 memory: 14472 loss: 0.6128 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0317 loss_cls: 0.1598 acc: 98.6328 loss_bbox: 0.2191 loss_mask: 0.1890 2024/01/14 00:42:51 - mmengine - INFO - Epoch(train) [6][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:45:01 time: 1.1987 data_time: 0.0596 memory: 14327 loss: 0.6064 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0369 loss_cls: 0.1628 acc: 98.2422 loss_bbox: 0.2111 loss_mask: 0.1813 2024/01/14 00:43:51 - mmengine - INFO - Epoch(train) [6][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:44:01 time: 1.1960 data_time: 0.0494 memory: 14954 loss: 0.5997 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0307 loss_cls: 0.1444 acc: 86.3281 loss_bbox: 0.2104 loss_mask: 0.2007 2024/01/14 00:44:50 - mmengine - INFO - Epoch(train) [6][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:43:01 time: 1.1897 data_time: 0.0608 memory: 14953 loss: 0.6497 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0419 loss_cls: 0.1691 acc: 81.0547 loss_bbox: 0.2222 loss_mask: 0.2008 2024/01/14 00:45:51 - mmengine - INFO - Epoch(train) [6][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:42:02 time: 1.2156 data_time: 0.0647 memory: 14950 loss: 0.7109 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0458 loss_cls: 0.1855 acc: 90.8203 loss_bbox: 0.2337 loss_mask: 0.2265 2024/01/14 00:46:51 - mmengine - INFO - Epoch(train) [6][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:41:03 time: 1.2023 data_time: 0.0575 memory: 14954 loss: 0.6599 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0336 loss_cls: 0.1686 acc: 96.6797 loss_bbox: 0.2368 loss_mask: 0.2083 2024/01/14 00:47:51 - mmengine - INFO - Epoch(train) [6][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:40:03 time: 1.1924 data_time: 0.0542 memory: 14658 loss: 0.6045 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0387 loss_cls: 0.1545 acc: 87.3047 loss_bbox: 0.1936 loss_mask: 0.2008 2024/01/14 00:48:51 - mmengine - INFO - Epoch(train) [6][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:39:03 time: 1.1905 data_time: 0.0546 memory: 14472 loss: 0.5897 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0338 loss_cls: 0.1460 acc: 95.8984 loss_bbox: 0.2113 loss_mask: 0.1840 2024/01/14 00:49:50 - mmengine - INFO - Epoch(train) [6][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:38:02 time: 1.1864 data_time: 0.0502 memory: 14472 loss: 0.6330 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0396 loss_cls: 0.1466 acc: 98.8281 loss_bbox: 0.2102 loss_mask: 0.2251 2024/01/14 00:50:50 - mmengine - INFO - Epoch(train) [6][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:37:03 time: 1.1968 data_time: 0.0530 memory: 14328 loss: 0.7161 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0363 loss_cls: 0.1938 acc: 86.7188 loss_bbox: 0.2376 loss_mask: 0.2309 2024/01/14 00:51:49 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 00:51:49 - mmengine - INFO - Epoch(train) [6][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:36:03 time: 1.1943 data_time: 0.0448 memory: 14951 loss: 0.6016 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0317 loss_cls: 0.1542 acc: 99.6094 loss_bbox: 0.2007 loss_mask: 0.2003 2024/01/14 00:52:49 - mmengine - INFO - Epoch(train) [6][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:35:03 time: 1.1919 data_time: 0.0566 memory: 13952 loss: 0.6630 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0465 loss_cls: 0.1775 acc: 98.8281 loss_bbox: 0.2141 loss_mask: 0.2036 2024/01/14 00:53:49 - mmengine - INFO - Epoch(train) [6][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:34:03 time: 1.1962 data_time: 0.0544 memory: 14954 loss: 0.6112 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0361 loss_cls: 0.1558 acc: 90.6250 loss_bbox: 0.2069 loss_mask: 0.1967 2024/01/14 00:54:48 - mmengine - INFO - Epoch(train) [6][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:33:02 time: 1.1879 data_time: 0.0517 memory: 14506 loss: 0.6325 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0337 loss_cls: 0.1604 acc: 97.6562 loss_bbox: 0.2265 loss_mask: 0.1934 2024/01/14 00:55:48 - mmengine - INFO - Epoch(train) [6][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:32:02 time: 1.1877 data_time: 0.0468 memory: 14450 loss: 0.6424 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0378 loss_cls: 0.1515 acc: 95.5078 loss_bbox: 0.2236 loss_mask: 0.2095 2024/01/14 00:56:48 - mmengine - INFO - Epoch(train) [6][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:31:03 time: 1.2012 data_time: 0.0527 memory: 14951 loss: 0.5920 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0339 loss_cls: 0.1474 acc: 100.0000 loss_bbox: 0.1926 loss_mask: 0.2024 2024/01/14 00:57:46 - mmengine - INFO - Epoch(train) [6][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:30:01 time: 1.1753 data_time: 0.0537 memory: 14304 loss: 0.6469 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0417 loss_cls: 0.1694 acc: 90.2344 loss_bbox: 0.2216 loss_mask: 0.1941 2024/01/14 00:58:46 - mmengine - INFO - Epoch(train) [6][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:29:02 time: 1.1981 data_time: 0.0462 memory: 14328 loss: 0.5446 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0329 loss_cls: 0.1256 acc: 91.0156 loss_bbox: 0.1783 loss_mask: 0.1929 2024/01/14 00:59:46 - mmengine - INFO - Epoch(train) [6][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:28:02 time: 1.1955 data_time: 0.0540 memory: 14954 loss: 0.5807 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0321 loss_cls: 0.1416 acc: 99.6094 loss_bbox: 0.2067 loss_mask: 0.1885 2024/01/14 01:00:46 - mmengine - INFO - Epoch(train) [6][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:27:02 time: 1.1984 data_time: 0.0578 memory: 14134 loss: 0.6431 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0409 loss_cls: 0.1650 acc: 98.0469 loss_bbox: 0.2052 loss_mask: 0.2096 2024/01/14 01:01:45 - mmengine - INFO - Epoch(train) [6][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:26:02 time: 1.1845 data_time: 0.0490 memory: 13952 loss: 0.5305 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0294 loss_cls: 0.1244 acc: 99.4141 loss_bbox: 0.1859 loss_mask: 0.1797 2024/01/14 01:02:45 - mmengine - INFO - Epoch(train) [6][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:25:02 time: 1.2015 data_time: 0.0538 memory: 14472 loss: 0.6407 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0351 loss_cls: 0.1582 acc: 92.3828 loss_bbox: 0.2186 loss_mask: 0.2133 2024/01/14 01:03:46 - mmengine - INFO - Epoch(train) [6][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:24:03 time: 1.2031 data_time: 0.0569 memory: 14328 loss: 0.6131 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0345 loss_cls: 0.1598 acc: 99.2188 loss_bbox: 0.2122 loss_mask: 0.1928 2024/01/14 01:04:46 - mmengine - INFO - Epoch(train) [6][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:23:03 time: 1.2004 data_time: 0.0451 memory: 14448 loss: 0.6631 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0400 loss_cls: 0.1749 acc: 100.0000 loss_bbox: 0.2288 loss_mask: 0.2016 2024/01/14 01:05:44 - mmengine - INFO - Epoch(train) [6][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:22:02 time: 1.1760 data_time: 0.0583 memory: 13771 loss: 0.6762 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0411 loss_cls: 0.1551 acc: 88.6719 loss_bbox: 0.2387 loss_mask: 0.2258 2024/01/14 01:06:44 - mmengine - INFO - Epoch(train) [6][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:21:02 time: 1.1903 data_time: 0.0557 memory: 13922 loss: 0.6493 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0371 loss_cls: 0.1581 acc: 98.6328 loss_bbox: 0.2158 loss_mask: 0.2195 2024/01/14 01:07:44 - mmengine - INFO - Epoch(train) [6][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:20:02 time: 1.2007 data_time: 0.0515 memory: 14690 loss: 0.5502 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0297 loss_cls: 0.1343 acc: 94.7266 loss_bbox: 0.1736 loss_mask: 0.2013 2024/01/14 01:08:43 - mmengine - INFO - Epoch(train) [6][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:19:02 time: 1.1901 data_time: 0.0636 memory: 14454 loss: 0.7152 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0541 loss_cls: 0.2007 acc: 86.1328 loss_bbox: 0.2368 loss_mask: 0.2004 2024/01/14 01:09:43 - mmengine - INFO - Epoch(train) [6][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:18:02 time: 1.1832 data_time: 0.0529 memory: 14041 loss: 0.6335 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0375 loss_cls: 0.1520 acc: 90.2344 loss_bbox: 0.2046 loss_mask: 0.2229 2024/01/14 01:10:42 - mmengine - INFO - Epoch(train) [6][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:17:02 time: 1.1930 data_time: 0.0537 memory: 14469 loss: 0.6125 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0365 loss_cls: 0.1522 acc: 86.7188 loss_bbox: 0.2030 loss_mask: 0.2072 2024/01/14 01:11:42 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 01:11:42 - mmengine - INFO - Epoch(train) [6][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:16:02 time: 1.1959 data_time: 0.0559 memory: 14472 loss: 0.6302 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0411 loss_cls: 0.1518 acc: 99.6094 loss_bbox: 0.2170 loss_mask: 0.2039 2024/01/14 01:12:43 - mmengine - INFO - Epoch(train) [6][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:15:03 time: 1.2117 data_time: 0.0543 memory: 14341 loss: 0.6165 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0359 loss_cls: 0.1480 acc: 97.8516 loss_bbox: 0.2093 loss_mask: 0.2050 2024/01/14 01:13:42 - mmengine - INFO - Epoch(train) [6][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:14:03 time: 1.1925 data_time: 0.0452 memory: 13771 loss: 0.4998 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0272 loss_cls: 0.1115 acc: 96.2891 loss_bbox: 0.1731 loss_mask: 0.1779 2024/01/14 01:14:42 - mmengine - INFO - Epoch(train) [6][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:13:03 time: 1.1987 data_time: 0.0581 memory: 14472 loss: 0.6324 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0383 loss_cls: 0.1572 acc: 78.9062 loss_bbox: 0.2099 loss_mask: 0.2119 2024/01/14 01:15:41 - mmengine - INFO - Epoch(train) [6][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:12:03 time: 1.1808 data_time: 0.0572 memory: 14472 loss: 0.6182 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0418 loss_cls: 0.1653 acc: 93.9453 loss_bbox: 0.2120 loss_mask: 0.1823 2024/01/14 01:16:40 - mmengine - INFO - Epoch(train) [6][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:11:02 time: 1.1774 data_time: 0.0506 memory: 14472 loss: 0.5871 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0301 loss_cls: 0.1536 acc: 96.6797 loss_bbox: 0.1930 loss_mask: 0.1942 2024/01/14 01:17:39 - mmengine - INFO - Epoch(train) [6][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:10:01 time: 1.1828 data_time: 0.0501 memory: 14348 loss: 0.6182 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0355 loss_cls: 0.1712 acc: 97.6562 loss_bbox: 0.2113 loss_mask: 0.1796 2024/01/14 01:18:39 - mmengine - INFO - Epoch(train) [6][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:09:00 time: 1.1849 data_time: 0.0532 memory: 14328 loss: 0.7196 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0441 loss_cls: 0.1928 acc: 100.0000 loss_bbox: 0.2534 loss_mask: 0.2155 2024/01/14 01:19:39 - mmengine - INFO - Epoch(train) [6][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:08:01 time: 1.2054 data_time: 0.0566 memory: 14612 loss: 0.7372 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0418 loss_cls: 0.1920 acc: 99.2188 loss_bbox: 0.2490 loss_mask: 0.2313 2024/01/14 01:20:38 - mmengine - INFO - Epoch(train) [6][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:07:01 time: 1.1875 data_time: 0.0620 memory: 14424 loss: 0.7171 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0438 loss_cls: 0.1949 acc: 90.6250 loss_bbox: 0.2514 loss_mask: 0.2042 2024/01/14 01:21:38 - mmengine - INFO - Epoch(train) [6][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:06:01 time: 1.2023 data_time: 0.0562 memory: 14424 loss: 0.5500 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0358 loss_cls: 0.1352 acc: 82.8125 loss_bbox: 0.1893 loss_mask: 0.1776 2024/01/14 01:22:38 - mmengine - INFO - Epoch(train) [6][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:05:01 time: 1.1907 data_time: 0.0520 memory: 14373 loss: 0.6105 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0399 loss_cls: 0.1520 acc: 87.8906 loss_bbox: 0.2047 loss_mask: 0.1999 2024/01/14 01:23:38 - mmengine - INFO - Epoch(train) [6][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:04:02 time: 1.1980 data_time: 0.0531 memory: 14658 loss: 0.6622 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0392 loss_cls: 0.1737 acc: 98.8281 loss_bbox: 0.2302 loss_mask: 0.2043 2024/01/14 01:24:37 - mmengine - INFO - Epoch(train) [6][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:03:01 time: 1.1865 data_time: 0.0502 memory: 14954 loss: 0.6073 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0330 loss_cls: 0.1596 acc: 98.2422 loss_bbox: 0.2035 loss_mask: 0.1994 2024/01/14 01:25:37 - mmengine - INFO - Epoch(train) [6][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:02:01 time: 1.1928 data_time: 0.0450 memory: 14469 loss: 0.6066 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0381 loss_cls: 0.1515 acc: 99.0234 loss_bbox: 0.1961 loss_mask: 0.2038 2024/01/14 01:26:36 - mmengine - INFO - Epoch(train) [6][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:01:01 time: 1.1891 data_time: 0.0476 memory: 14653 loss: 0.5104 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0246 loss_cls: 0.1214 acc: 98.0469 loss_bbox: 0.1675 loss_mask: 0.1823 2024/01/14 01:27:37 - mmengine - INFO - Epoch(train) [6][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:00:02 time: 1.2120 data_time: 0.0585 memory: 14708 loss: 0.6712 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0403 loss_cls: 0.1755 acc: 91.2109 loss_bbox: 0.2295 loss_mask: 0.2106 2024/01/14 01:28:37 - mmengine - INFO - Epoch(train) [6][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:59:03 time: 1.2046 data_time: 0.0524 memory: 14472 loss: 0.5860 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0341 loss_cls: 0.1365 acc: 97.2656 loss_bbox: 0.1959 loss_mask: 0.2079 2024/01/14 01:29:37 - mmengine - INFO - Epoch(train) [6][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:58:03 time: 1.2015 data_time: 0.0541 memory: 14472 loss: 0.6683 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0412 loss_cls: 0.1773 acc: 99.4141 loss_bbox: 0.2259 loss_mask: 0.2057 2024/01/14 01:30:38 - mmengine - INFO - Epoch(train) [6][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:57:04 time: 1.2071 data_time: 0.0516 memory: 14780 loss: 0.6048 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0278 loss_cls: 0.1555 acc: 94.9219 loss_bbox: 0.2049 loss_mask: 0.2019 2024/01/14 01:31:38 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 01:31:38 - mmengine - INFO - Epoch(train) [6][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:56:05 time: 1.2000 data_time: 0.0562 memory: 14954 loss: 0.6431 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0521 loss_cls: 0.1608 acc: 79.1016 loss_bbox: 0.2155 loss_mask: 0.1884 2024/01/14 01:32:37 - mmengine - INFO - Epoch(train) [6][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:55:04 time: 1.1890 data_time: 0.0519 memory: 14472 loss: 0.7201 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0450 loss_cls: 0.1716 acc: 96.4844 loss_bbox: 0.2591 loss_mask: 0.2220 2024/01/14 01:33:37 - mmengine - INFO - Epoch(train) [6][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:54:04 time: 1.1910 data_time: 0.0483 memory: 14423 loss: 0.5836 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0345 loss_cls: 0.1532 acc: 93.5547 loss_bbox: 0.2011 loss_mask: 0.1842 2024/01/14 01:34:37 - mmengine - INFO - Epoch(train) [6][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:53:05 time: 1.2116 data_time: 0.0625 memory: 14369 loss: 0.6547 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0440 loss_cls: 0.1745 acc: 94.7266 loss_bbox: 0.2210 loss_mask: 0.1966 2024/01/14 01:35:38 - mmengine - INFO - Epoch(train) [6][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:52:07 time: 1.2223 data_time: 0.0531 memory: 14658 loss: 0.6228 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0439 loss_cls: 0.1551 acc: 88.8672 loss_bbox: 0.2091 loss_mask: 0.2050 2024/01/14 01:36:38 - mmengine - INFO - Epoch(train) [6][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:51:07 time: 1.1888 data_time: 0.0531 memory: 14328 loss: 0.5829 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0325 loss_cls: 0.1416 acc: 99.0234 loss_bbox: 0.1892 loss_mask: 0.2042 2024/01/14 01:37:38 - mmengine - INFO - Epoch(train) [6][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:50:08 time: 1.2126 data_time: 0.0512 memory: 14328 loss: 0.6664 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0427 loss_cls: 0.1850 acc: 99.0234 loss_bbox: 0.2205 loss_mask: 0.1988 2024/01/14 01:38:39 - mmengine - INFO - Epoch(train) [6][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:49:09 time: 1.2133 data_time: 0.0578 memory: 14472 loss: 0.5958 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0297 loss_cls: 0.1558 acc: 86.9141 loss_bbox: 0.1967 loss_mask: 0.1977 2024/01/14 01:39:39 - mmengine - INFO - Epoch(train) [6][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:48:10 time: 1.1984 data_time: 0.0482 memory: 14423 loss: 0.6911 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0456 loss_cls: 0.1762 acc: 98.6328 loss_bbox: 0.2519 loss_mask: 0.1994 2024/01/14 01:40:39 - mmengine - INFO - Epoch(train) [6][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:47:10 time: 1.1980 data_time: 0.0488 memory: 13952 loss: 0.6391 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0365 loss_cls: 0.1616 acc: 86.7188 loss_bbox: 0.2197 loss_mask: 0.2052 2024/01/14 01:41:39 - mmengine - INFO - Epoch(train) [6][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:46:11 time: 1.2106 data_time: 0.0683 memory: 14469 loss: 0.7688 loss_rpn_cls: 0.0326 loss_rpn_bbox: 0.0556 loss_cls: 0.2065 acc: 92.5781 loss_bbox: 0.2524 loss_mask: 0.2218 2024/01/14 01:42:39 - mmengine - INFO - Epoch(train) [6][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:45:11 time: 1.1920 data_time: 0.0683 memory: 14038 loss: 0.8153 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0571 loss_cls: 0.2128 acc: 85.3516 loss_bbox: 0.2912 loss_mask: 0.2320 2024/01/14 01:43:40 - mmengine - INFO - Epoch(train) [6][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:44:12 time: 1.2155 data_time: 0.0695 memory: 14472 loss: 0.7722 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0538 loss_cls: 0.2010 acc: 88.8672 loss_bbox: 0.2678 loss_mask: 0.2297 2024/01/14 01:44:40 - mmengine - INFO - Epoch(train) [6][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:43:13 time: 1.2120 data_time: 0.0521 memory: 14424 loss: 0.6323 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0399 loss_cls: 0.1548 acc: 93.9453 loss_bbox: 0.2149 loss_mask: 0.2096 2024/01/14 01:45:40 - mmengine - INFO - Epoch(train) [6][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:42:14 time: 1.2002 data_time: 0.0537 memory: 14328 loss: 0.6650 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0392 loss_cls: 0.1770 acc: 87.6953 loss_bbox: 0.2234 loss_mask: 0.2073 2024/01/14 01:46:39 - mmengine - INFO - Epoch(train) [6][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:41:13 time: 1.1821 data_time: 0.0603 memory: 13952 loss: 0.6400 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0426 loss_cls: 0.1603 acc: 98.2422 loss_bbox: 0.2190 loss_mask: 0.2003 2024/01/14 01:47:39 - mmengine - INFO - Epoch(train) [6][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:40:13 time: 1.1940 data_time: 0.0619 memory: 14177 loss: 0.6747 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0392 loss_cls: 0.1671 acc: 99.4141 loss_bbox: 0.2336 loss_mask: 0.2187 2024/01/14 01:48:39 - mmengine - INFO - Epoch(train) [6][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:39:13 time: 1.1957 data_time: 0.0588 memory: 14472 loss: 0.7133 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0456 loss_cls: 0.1826 acc: 98.0469 loss_bbox: 0.2480 loss_mask: 0.2199 2024/01/14 01:49:38 - mmengine - INFO - Epoch(train) [6][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:38:12 time: 1.1740 data_time: 0.0566 memory: 14328 loss: 0.5055 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0343 loss_cls: 0.1237 acc: 98.4375 loss_bbox: 0.1568 loss_mask: 0.1746 2024/01/14 01:50:39 - mmengine - INFO - Epoch(train) [6][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:37:14 time: 1.2207 data_time: 0.0577 memory: 14951 loss: 0.6509 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0423 loss_cls: 0.1634 acc: 86.5234 loss_bbox: 0.2147 loss_mask: 0.2140 2024/01/14 01:51:39 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 01:51:39 - mmengine - INFO - Epoch(train) [6][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:36:15 time: 1.2143 data_time: 0.0497 memory: 14271 loss: 0.6104 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0307 loss_cls: 0.1565 acc: 99.4141 loss_bbox: 0.1986 loss_mask: 0.2088 2024/01/14 01:52:40 - mmengine - INFO - Epoch(train) [6][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:35:17 time: 1.2204 data_time: 0.0549 memory: 14295 loss: 0.5991 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0345 loss_cls: 0.1465 acc: 99.0234 loss_bbox: 0.2169 loss_mask: 0.1863 2024/01/14 01:53:39 - mmengine - INFO - Epoch(train) [6][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:34:16 time: 1.1779 data_time: 0.0556 memory: 14469 loss: 0.6618 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0409 loss_cls: 0.1789 acc: 88.6719 loss_bbox: 0.2158 loss_mask: 0.2122 2024/01/14 01:54:39 - mmengine - INFO - Epoch(train) [6][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:33:16 time: 1.2000 data_time: 0.0555 memory: 14299 loss: 0.6168 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0331 loss_cls: 0.1622 acc: 99.4141 loss_bbox: 0.2102 loss_mask: 0.1985 2024/01/14 01:55:39 - mmengine - INFO - Epoch(train) [6][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:32:16 time: 1.1855 data_time: 0.0533 memory: 14772 loss: 0.5309 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0299 loss_cls: 0.1310 acc: 99.6094 loss_bbox: 0.1756 loss_mask: 0.1789 2024/01/14 01:56:38 - mmengine - INFO - Epoch(train) [6][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:31:16 time: 1.1938 data_time: 0.0555 memory: 14658 loss: 0.5558 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0426 loss_cls: 0.1377 acc: 97.6562 loss_bbox: 0.1784 loss_mask: 0.1814 2024/01/14 01:57:38 - mmengine - INFO - Epoch(train) [6][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:30:15 time: 1.1865 data_time: 0.0499 memory: 14950 loss: 0.5248 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0390 loss_cls: 0.1275 acc: 90.6250 loss_bbox: 0.1717 loss_mask: 0.1782 2024/01/14 01:58:37 - mmengine - INFO - Epoch(train) [6][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:29:15 time: 1.1926 data_time: 0.0513 memory: 14472 loss: 0.5169 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0305 loss_cls: 0.1239 acc: 100.0000 loss_bbox: 0.1592 loss_mask: 0.1903 2024/01/14 01:59:37 - mmengine - INFO - Epoch(train) [6][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:28:16 time: 1.2007 data_time: 0.0620 memory: 14469 loss: 0.6823 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0379 loss_cls: 0.1834 acc: 90.6250 loss_bbox: 0.2310 loss_mask: 0.2140 2024/01/14 02:00:38 - mmengine - INFO - Epoch(train) [6][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:27:16 time: 1.2032 data_time: 0.0486 memory: 13922 loss: 0.5395 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0310 loss_cls: 0.1329 acc: 90.4297 loss_bbox: 0.1768 loss_mask: 0.1848 2024/01/14 02:01:37 - mmengine - INFO - Epoch(train) [6][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:26:16 time: 1.1850 data_time: 0.0527 memory: 13952 loss: 0.5159 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0353 loss_cls: 0.1294 acc: 99.8047 loss_bbox: 0.1744 loss_mask: 0.1635 2024/01/14 02:02:37 - mmengine - INFO - Epoch(train) [6][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:25:16 time: 1.1967 data_time: 0.0476 memory: 14741 loss: 0.5446 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0295 loss_cls: 0.1282 acc: 92.1875 loss_bbox: 0.1754 loss_mask: 0.1968 2024/01/14 02:03:36 - mmengine - INFO - Epoch(train) [6][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:24:16 time: 1.1867 data_time: 0.0564 memory: 14472 loss: 0.6496 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0368 loss_cls: 0.1674 acc: 91.2109 loss_bbox: 0.2235 loss_mask: 0.2021 2024/01/14 02:04:36 - mmengine - INFO - Epoch(train) [6][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:23:16 time: 1.1958 data_time: 0.0507 memory: 14654 loss: 0.6251 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0425 loss_cls: 0.1635 acc: 97.8516 loss_bbox: 0.2116 loss_mask: 0.1910 2024/01/14 02:05:35 - mmengine - INFO - Epoch(train) [6][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:22:16 time: 1.1900 data_time: 0.0497 memory: 14954 loss: 0.5901 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0285 loss_cls: 0.1480 acc: 98.8281 loss_bbox: 0.1896 loss_mask: 0.2080 2024/01/14 02:06:35 - mmengine - INFO - Epoch(train) [6][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:21:16 time: 1.1944 data_time: 0.0515 memory: 14262 loss: 0.6485 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0417 loss_cls: 0.1591 acc: 95.8984 loss_bbox: 0.2095 loss_mask: 0.2186 2024/01/14 02:07:36 - mmengine - INFO - Epoch(train) [6][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:20:17 time: 1.2108 data_time: 0.0645 memory: 14951 loss: 0.7234 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0417 loss_cls: 0.1899 acc: 96.8750 loss_bbox: 0.2464 loss_mask: 0.2197 2024/01/14 02:08:36 - mmengine - INFO - Epoch(train) [6][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:19:18 time: 1.2037 data_time: 0.0546 memory: 14417 loss: 0.6212 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0350 loss_cls: 0.1608 acc: 93.1641 loss_bbox: 0.2056 loss_mask: 0.2049 2024/01/14 02:09:36 - mmengine - INFO - Epoch(train) [6][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:18:19 time: 1.2098 data_time: 0.0530 memory: 14582 loss: 0.5838 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0380 loss_cls: 0.1460 acc: 90.2344 loss_bbox: 0.1945 loss_mask: 0.1817 2024/01/14 02:10:36 - mmengine - INFO - Epoch(train) [6][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:17:18 time: 1.1881 data_time: 0.0629 memory: 14472 loss: 0.7325 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0493 loss_cls: 0.1973 acc: 85.1562 loss_bbox: 0.2480 loss_mask: 0.2198 2024/01/14 02:11:35 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 02:11:35 - mmengine - INFO - Epoch(train) [6][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:16:18 time: 1.1792 data_time: 0.0541 memory: 14469 loss: 0.6196 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0336 loss_cls: 0.1551 acc: 87.5000 loss_bbox: 0.2105 loss_mask: 0.2056 2024/01/14 02:12:34 - mmengine - INFO - Epoch(train) [6][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:15:17 time: 1.1848 data_time: 0.0550 memory: 14954 loss: 0.6790 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0400 loss_cls: 0.1726 acc: 94.7266 loss_bbox: 0.2398 loss_mask: 0.2100 2024/01/14 02:13:33 - mmengine - INFO - Epoch(train) [6][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:14:17 time: 1.1887 data_time: 0.0687 memory: 14438 loss: 0.7114 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0524 loss_cls: 0.1942 acc: 91.9922 loss_bbox: 0.2356 loss_mask: 0.2097 2024/01/14 02:14:33 - mmengine - INFO - Epoch(train) [6][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:13:17 time: 1.1857 data_time: 0.0527 memory: 14038 loss: 0.5911 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0340 loss_cls: 0.1461 acc: 95.8984 loss_bbox: 0.1955 loss_mask: 0.2005 2024/01/14 02:15:33 - mmengine - INFO - Epoch(train) [6][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:12:17 time: 1.2021 data_time: 0.0576 memory: 14868 loss: 0.6458 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0394 loss_cls: 0.1620 acc: 88.4766 loss_bbox: 0.2189 loss_mask: 0.2071 2024/01/14 02:16:33 - mmengine - INFO - Epoch(train) [6][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:11:18 time: 1.2096 data_time: 0.0534 memory: 14324 loss: 0.6674 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0415 loss_cls: 0.1729 acc: 94.5312 loss_bbox: 0.2256 loss_mask: 0.2097 2024/01/14 02:17:33 - mmengine - INFO - Epoch(train) [6][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:10:18 time: 1.1927 data_time: 0.0496 memory: 14327 loss: 0.6624 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0402 loss_cls: 0.1622 acc: 94.3359 loss_bbox: 0.2303 loss_mask: 0.2116 2024/01/14 02:18:33 - mmengine - INFO - Epoch(train) [6][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:09:18 time: 1.1942 data_time: 0.0542 memory: 14597 loss: 0.6056 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0342 loss_cls: 0.1491 acc: 81.8359 loss_bbox: 0.2024 loss_mask: 0.2055 2024/01/14 02:19:32 - mmengine - INFO - Epoch(train) [6][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:08:18 time: 1.1848 data_time: 0.0497 memory: 14472 loss: 0.5553 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0332 loss_cls: 0.1457 acc: 97.4609 loss_bbox: 0.1741 loss_mask: 0.1893 2024/01/14 02:20:30 - mmengine - INFO - Epoch(train) [6][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:07:17 time: 1.1732 data_time: 0.0523 memory: 14954 loss: 0.7149 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0386 loss_cls: 0.1854 acc: 93.9453 loss_bbox: 0.2443 loss_mask: 0.2300 2024/01/14 02:21:30 - mmengine - INFO - Epoch(train) [6][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:06:16 time: 1.1851 data_time: 0.0523 memory: 14423 loss: 0.6191 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0381 loss_cls: 0.1547 acc: 98.8281 loss_bbox: 0.2140 loss_mask: 0.2013 2024/01/14 02:22:30 - mmengine - INFO - Epoch(train) [6][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:05:16 time: 1.1976 data_time: 0.0496 memory: 14954 loss: 0.5829 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0321 loss_cls: 0.1423 acc: 96.2891 loss_bbox: 0.2006 loss_mask: 0.1940 2024/01/14 02:23:29 - mmengine - INFO - Epoch(train) [6][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:04:16 time: 1.1827 data_time: 0.0559 memory: 14471 loss: 0.7013 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0440 loss_cls: 0.1764 acc: 99.4141 loss_bbox: 0.2376 loss_mask: 0.2277 2024/01/14 02:24:30 - mmengine - INFO - Epoch(train) [6][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:03:17 time: 1.2166 data_time: 0.0505 memory: 14472 loss: 0.6574 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0374 loss_cls: 0.1817 acc: 92.1875 loss_bbox: 0.2207 loss_mask: 0.1991 2024/01/14 02:25:29 - mmengine - INFO - Epoch(train) [6][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:02:17 time: 1.1852 data_time: 0.0551 memory: 14424 loss: 0.6969 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0424 loss_cls: 0.1720 acc: 91.0156 loss_bbox: 0.2398 loss_mask: 0.2227 2024/01/14 02:26:28 - mmengine - INFO - Epoch(train) [6][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:01:17 time: 1.1924 data_time: 0.0570 memory: 14658 loss: 0.6217 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0360 loss_cls: 0.1653 acc: 99.2188 loss_bbox: 0.1999 loss_mask: 0.1947 2024/01/14 02:27:28 - mmengine - INFO - Epoch(train) [6][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:00:16 time: 1.1829 data_time: 0.0646 memory: 14658 loss: 0.7064 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0501 loss_cls: 0.1840 acc: 97.2656 loss_bbox: 0.2492 loss_mask: 0.2084 2024/01/14 02:28:28 - mmengine - INFO - Epoch(train) [6][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:59:17 time: 1.2071 data_time: 0.0547 memory: 14423 loss: 0.6937 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0386 loss_cls: 0.1841 acc: 91.7969 loss_bbox: 0.2363 loss_mask: 0.2150 2024/01/14 02:29:28 - mmengine - INFO - Epoch(train) [6][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:58:18 time: 1.2028 data_time: 0.0628 memory: 14953 loss: 0.7744 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0505 loss_cls: 0.2053 acc: 93.5547 loss_bbox: 0.2688 loss_mask: 0.2263 2024/01/14 02:30:28 - mmengine - INFO - Epoch(train) [6][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:57:18 time: 1.1922 data_time: 0.0496 memory: 14469 loss: 0.6265 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0317 loss_cls: 0.1739 acc: 99.8047 loss_bbox: 0.2192 loss_mask: 0.1864 2024/01/14 02:31:27 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 02:31:27 - mmengine - INFO - Epoch(train) [6][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:56:18 time: 1.1915 data_time: 0.0552 memory: 14134 loss: 0.6327 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0422 loss_cls: 0.1642 acc: 96.4844 loss_bbox: 0.2170 loss_mask: 0.1927 2024/01/14 02:32:27 - mmengine - INFO - Epoch(train) [6][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:55:18 time: 1.2005 data_time: 0.0507 memory: 13771 loss: 0.6336 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0363 loss_cls: 0.1469 acc: 96.6797 loss_bbox: 0.2164 loss_mask: 0.2181 2024/01/14 02:33:28 - mmengine - INFO - Epoch(train) [6][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:54:19 time: 1.2187 data_time: 0.0448 memory: 14954 loss: 0.5723 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0291 loss_cls: 0.1473 acc: 96.8750 loss_bbox: 0.1792 loss_mask: 0.2063 2024/01/14 02:34:28 - mmengine - INFO - Epoch(train) [6][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:53:19 time: 1.1908 data_time: 0.0492 memory: 14041 loss: 0.6015 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0428 loss_cls: 0.1499 acc: 81.6406 loss_bbox: 0.1890 loss_mask: 0.2027 2024/01/14 02:35:28 - mmengine - INFO - Epoch(train) [6][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:52:20 time: 1.2004 data_time: 0.0519 memory: 14438 loss: 0.6230 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0334 loss_cls: 0.1544 acc: 96.8750 loss_bbox: 0.2079 loss_mask: 0.2122 2024/01/14 02:36:27 - mmengine - INFO - Epoch(train) [6][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:51:20 time: 1.1893 data_time: 0.0524 memory: 14401 loss: 0.6311 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0345 loss_cls: 0.1544 acc: 86.9141 loss_bbox: 0.2197 loss_mask: 0.2082 2024/01/14 02:37:27 - mmengine - INFO - Epoch(train) [6][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:50:19 time: 1.1833 data_time: 0.0528 memory: 14954 loss: 0.6470 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0379 loss_cls: 0.1676 acc: 91.7969 loss_bbox: 0.2174 loss_mask: 0.2008 2024/01/14 02:38:26 - mmengine - INFO - Epoch(train) [6][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:49:19 time: 1.1991 data_time: 0.0574 memory: 14951 loss: 0.6603 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0331 loss_cls: 0.1673 acc: 87.1094 loss_bbox: 0.2318 loss_mask: 0.2054 2024/01/14 02:39:27 - mmengine - INFO - Epoch(train) [6][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:48:20 time: 1.2044 data_time: 0.0574 memory: 14954 loss: 0.7133 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0431 loss_cls: 0.1759 acc: 98.8281 loss_bbox: 0.2282 loss_mask: 0.2498 2024/01/14 02:40:27 - mmengine - INFO - Epoch(train) [6][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:47:21 time: 1.2083 data_time: 0.0545 memory: 14598 loss: 0.7788 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0512 loss_cls: 0.1968 acc: 100.0000 loss_bbox: 0.2696 loss_mask: 0.2414 2024/01/14 02:41:27 - mmengine - INFO - Epoch(train) [6][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:46:21 time: 1.1911 data_time: 0.0416 memory: 14432 loss: 0.6192 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0340 loss_cls: 0.1503 acc: 91.4062 loss_bbox: 0.2077 loss_mask: 0.2118 2024/01/14 02:42:27 - mmengine - INFO - Epoch(train) [6][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:45:22 time: 1.2082 data_time: 0.0571 memory: 14954 loss: 0.5874 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0335 loss_cls: 0.1380 acc: 96.8750 loss_bbox: 0.1901 loss_mask: 0.2134 2024/01/14 02:43:27 - mmengine - INFO - Epoch(train) [6][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:44:22 time: 1.2048 data_time: 0.0640 memory: 14950 loss: 0.6298 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0372 loss_cls: 0.1468 acc: 99.2188 loss_bbox: 0.2256 loss_mask: 0.2027 2024/01/14 02:44:27 - mmengine - INFO - Epoch(train) [6][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:43:22 time: 1.1962 data_time: 0.0609 memory: 14954 loss: 0.6602 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0489 loss_cls: 0.1680 acc: 98.6328 loss_bbox: 0.2254 loss_mask: 0.1990 2024/01/14 02:45:27 - mmengine - INFO - Epoch(train) [6][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:42:23 time: 1.2052 data_time: 0.0552 memory: 14954 loss: 0.5994 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0313 loss_cls: 0.1540 acc: 93.7500 loss_bbox: 0.1996 loss_mask: 0.1969 2024/01/14 02:46:27 - mmengine - INFO - Epoch(train) [6][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:41:23 time: 1.1940 data_time: 0.0507 memory: 14954 loss: 0.6733 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0369 loss_cls: 0.1809 acc: 94.9219 loss_bbox: 0.2296 loss_mask: 0.2141 2024/01/14 02:47:27 - mmengine - INFO - Epoch(train) [6][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:40:23 time: 1.1943 data_time: 0.0599 memory: 14472 loss: 0.7849 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0439 loss_cls: 0.2035 acc: 92.3828 loss_bbox: 0.2715 loss_mask: 0.2459 2024/01/14 02:48:28 - mmengine - INFO - Epoch(train) [6][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:39:24 time: 1.2150 data_time: 0.0509 memory: 14038 loss: 0.6098 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0283 loss_cls: 0.1578 acc: 84.3750 loss_bbox: 0.2007 loss_mask: 0.2111 2024/01/14 02:49:28 - mmengine - INFO - Epoch(train) [6][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:38:25 time: 1.2058 data_time: 0.0547 memory: 14951 loss: 0.6996 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0389 loss_cls: 0.1770 acc: 98.8281 loss_bbox: 0.2372 loss_mask: 0.2275 2024/01/14 02:50:28 - mmengine - INFO - Epoch(train) [6][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:37:25 time: 1.1966 data_time: 0.0600 memory: 13897 loss: 0.6275 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0411 loss_cls: 0.1617 acc: 96.2891 loss_bbox: 0.2099 loss_mask: 0.1994 2024/01/14 02:51:03 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 02:51:03 - mmengine - INFO - Saving checkpoint at 6 epochs 2024/01/14 02:51:21 - mmengine - INFO - Epoch(val) [6][ 50/313] eta: 0:01:03 time: 0.2416 data_time: 0.0354 memory: 14658 2024/01/14 02:51:32 - mmengine - INFO - Epoch(val) [6][100/313] eta: 0:00:50 time: 0.2325 data_time: 0.0260 memory: 3311 2024/01/14 02:51:44 - mmengine - INFO - Epoch(val) [6][150/313] eta: 0:00:38 time: 0.2260 data_time: 0.0236 memory: 3368 2024/01/14 02:51:55 - mmengine - INFO - Epoch(val) [6][200/313] eta: 0:00:26 time: 0.2343 data_time: 0.0276 memory: 3331 2024/01/14 02:52:07 - mmengine - INFO - Epoch(val) [6][250/313] eta: 0:00:14 time: 0.2213 data_time: 0.0143 memory: 3368 2024/01/14 02:52:18 - mmengine - INFO - Epoch(val) [6][300/313] eta: 0:00:02 time: 0.2272 data_time: 0.0228 memory: 3331 2024/01/14 02:52:27 - mmengine - INFO - Evaluating bbox... 2024/01/14 02:52:51 - mmengine - INFO - bbox_mAP_copypaste: 0.458 0.682 0.505 0.294 0.502 0.609 2024/01/14 02:52:51 - mmengine - INFO - Evaluating segm... 2024/01/14 02:53:16 - mmengine - INFO - segm_mAP_copypaste: 0.413 0.650 0.442 0.216 0.447 0.608 2024/01/14 02:53:17 - mmengine - INFO - Epoch(val) [6][313/313] coco/bbox_mAP: 0.4580 coco/bbox_mAP_50: 0.6820 coco/bbox_mAP_75: 0.5050 coco/bbox_mAP_s: 0.2940 coco/bbox_mAP_m: 0.5020 coco/bbox_mAP_l: 0.6090 coco/segm_mAP: 0.4130 coco/segm_mAP_50: 0.6500 coco/segm_mAP_75: 0.4420 coco/segm_mAP_s: 0.2160 coco/segm_mAP_m: 0.4470 coco/segm_mAP_l: 0.6080 data_time: 0.0240 time: 0.2292 2024/01/14 02:53:42 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 02:54:18 - mmengine - INFO - Epoch(train) [7][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:35:50 time: 1.2117 data_time: 0.0581 memory: 14328 loss: 0.5319 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0273 loss_cls: 0.1300 acc: 99.8047 loss_bbox: 0.1815 loss_mask: 0.1831 2024/01/14 02:55:17 - mmengine - INFO - Epoch(train) [7][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:34:49 time: 1.1814 data_time: 0.0489 memory: 14472 loss: 0.5351 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0317 loss_cls: 0.1248 acc: 96.8750 loss_bbox: 0.1805 loss_mask: 0.1890 2024/01/14 02:56:17 - mmengine - INFO - Epoch(train) [7][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:33:50 time: 1.2108 data_time: 0.0570 memory: 14935 loss: 0.6334 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0423 loss_cls: 0.1556 acc: 94.7266 loss_bbox: 0.2179 loss_mask: 0.2054 2024/01/14 02:57:17 - mmengine - INFO - Epoch(train) [7][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:32:51 time: 1.1984 data_time: 0.0656 memory: 14954 loss: 0.5748 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0354 loss_cls: 0.1384 acc: 93.7500 loss_bbox: 0.1997 loss_mask: 0.1884 2024/01/14 02:58:16 - mmengine - INFO - Epoch(train) [7][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:31:50 time: 1.1789 data_time: 0.0504 memory: 14472 loss: 0.6056 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0350 loss_cls: 0.1413 acc: 91.0156 loss_bbox: 0.2097 loss_mask: 0.2067 2024/01/14 02:59:16 - mmengine - INFO - Epoch(train) [7][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:30:51 time: 1.2027 data_time: 0.0658 memory: 14472 loss: 0.6535 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0369 loss_cls: 0.1674 acc: 99.0234 loss_bbox: 0.2247 loss_mask: 0.2073 2024/01/14 03:00:16 - mmengine - INFO - Epoch(train) [7][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:29:50 time: 1.1877 data_time: 0.0602 memory: 14230 loss: 0.5382 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0319 loss_cls: 0.1194 acc: 95.8984 loss_bbox: 0.1793 loss_mask: 0.1955 2024/01/14 03:01:15 - mmengine - INFO - Epoch(train) [7][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:28:50 time: 1.1858 data_time: 0.0546 memory: 14327 loss: 0.6543 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0375 loss_cls: 0.1746 acc: 88.6719 loss_bbox: 0.2250 loss_mask: 0.1998 2024/01/14 03:02:15 - mmengine - INFO - Epoch(train) [7][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:27:50 time: 1.1975 data_time: 0.0600 memory: 14472 loss: 0.6700 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0404 loss_cls: 0.1799 acc: 98.0469 loss_bbox: 0.2253 loss_mask: 0.2066 2024/01/14 03:03:16 - mmengine - INFO - Epoch(train) [7][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:26:51 time: 1.2116 data_time: 0.0556 memory: 14574 loss: 0.5209 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0299 loss_cls: 0.1267 acc: 97.2656 loss_bbox: 0.1743 loss_mask: 0.1817 2024/01/14 03:04:15 - mmengine - INFO - Epoch(train) [7][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:25:51 time: 1.1947 data_time: 0.0596 memory: 14479 loss: 0.6565 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0443 loss_cls: 0.1666 acc: 86.7188 loss_bbox: 0.2145 loss_mask: 0.2123 2024/01/14 03:05:16 - mmengine - INFO - Epoch(train) [7][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:24:52 time: 1.2086 data_time: 0.0544 memory: 14954 loss: 0.5803 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0392 loss_cls: 0.1430 acc: 98.0469 loss_bbox: 0.1950 loss_mask: 0.1869 2024/01/14 03:06:16 - mmengine - INFO - Epoch(train) [7][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:23:53 time: 1.2115 data_time: 0.0542 memory: 14472 loss: 0.6221 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0408 loss_cls: 0.1485 acc: 97.4609 loss_bbox: 0.2007 loss_mask: 0.2079 2024/01/14 03:07:16 - mmengine - INFO - Epoch(train) [7][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:22:53 time: 1.1864 data_time: 0.0561 memory: 14053 loss: 0.5479 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0312 loss_cls: 0.1335 acc: 98.4375 loss_bbox: 0.1861 loss_mask: 0.1847 2024/01/14 03:08:17 - mmengine - INFO - Epoch(train) [7][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:21:54 time: 1.2193 data_time: 0.0664 memory: 14927 loss: 0.6649 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0375 loss_cls: 0.1772 acc: 97.0703 loss_bbox: 0.2247 loss_mask: 0.2106 2024/01/14 03:09:17 - mmengine - INFO - Epoch(train) [7][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:20:54 time: 1.1988 data_time: 0.0435 memory: 14423 loss: 0.5379 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0271 loss_cls: 0.1347 acc: 98.6328 loss_bbox: 0.1810 loss_mask: 0.1842 2024/01/14 03:10:17 - mmengine - INFO - Epoch(train) [7][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:19:55 time: 1.2047 data_time: 0.0482 memory: 14439 loss: 0.6742 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0383 loss_cls: 0.1728 acc: 89.8438 loss_bbox: 0.2296 loss_mask: 0.2118 2024/01/14 03:11:17 - mmengine - INFO - Epoch(train) [7][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:18:55 time: 1.1945 data_time: 0.0516 memory: 14472 loss: 0.7090 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0435 loss_cls: 0.1736 acc: 98.4375 loss_bbox: 0.2400 loss_mask: 0.2284 2024/01/14 03:12:18 - mmengine - INFO - Epoch(train) [7][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:17:57 time: 1.2264 data_time: 0.0681 memory: 14777 loss: 0.6631 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0409 loss_cls: 0.1674 acc: 100.0000 loss_bbox: 0.2310 loss_mask: 0.2005 2024/01/14 03:13:17 - mmengine - INFO - Epoch(train) [7][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:16:56 time: 1.1851 data_time: 0.0566 memory: 14954 loss: 0.5934 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0353 loss_cls: 0.1501 acc: 96.6797 loss_bbox: 0.1896 loss_mask: 0.2010 2024/01/14 03:13:41 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 03:14:17 - mmengine - INFO - Epoch(train) [7][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:15:57 time: 1.2011 data_time: 0.0534 memory: 14469 loss: 0.5919 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0343 loss_cls: 0.1463 acc: 95.3125 loss_bbox: 0.1979 loss_mask: 0.2021 2024/01/14 03:15:17 - mmengine - INFO - Epoch(train) [7][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:14:57 time: 1.2035 data_time: 0.0524 memory: 14499 loss: 0.5596 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0353 loss_cls: 0.1408 acc: 99.0234 loss_bbox: 0.1930 loss_mask: 0.1786 2024/01/14 03:16:17 - mmengine - INFO - Epoch(train) [7][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:13:57 time: 1.1832 data_time: 0.0500 memory: 14472 loss: 0.6099 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0388 loss_cls: 0.1422 acc: 93.7500 loss_bbox: 0.2064 loss_mask: 0.2071 2024/01/14 03:17:16 - mmengine - INFO - Epoch(train) [7][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:12:57 time: 1.1909 data_time: 0.0516 memory: 14358 loss: 0.5921 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0372 loss_cls: 0.1478 acc: 95.1172 loss_bbox: 0.2048 loss_mask: 0.1862 2024/01/14 03:18:15 - mmengine - INFO - Epoch(train) [7][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:11:56 time: 1.1857 data_time: 0.0513 memory: 14056 loss: 0.5771 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0311 loss_cls: 0.1473 acc: 99.2188 loss_bbox: 0.2030 loss_mask: 0.1852 2024/01/14 03:19:16 - mmengine - INFO - Epoch(train) [7][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:10:58 time: 1.2175 data_time: 0.0549 memory: 14903 loss: 0.6348 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0359 loss_cls: 0.1693 acc: 91.7969 loss_bbox: 0.2024 loss_mask: 0.2110 2024/01/14 03:20:16 - mmengine - INFO - Epoch(train) [7][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:09:57 time: 1.1857 data_time: 0.0608 memory: 14954 loss: 0.6541 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0440 loss_cls: 0.1741 acc: 99.0234 loss_bbox: 0.2182 loss_mask: 0.2040 2024/01/14 03:21:15 - mmengine - INFO - Epoch(train) [7][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:08:57 time: 1.1897 data_time: 0.0592 memory: 14657 loss: 0.6435 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0372 loss_cls: 0.1662 acc: 98.6328 loss_bbox: 0.2363 loss_mask: 0.1882 2024/01/14 03:22:15 - mmengine - INFO - Epoch(train) [7][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:07:58 time: 1.1997 data_time: 0.0544 memory: 14644 loss: 0.5762 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0337 loss_cls: 0.1363 acc: 98.4375 loss_bbox: 0.1969 loss_mask: 0.1964 2024/01/14 03:23:13 - mmengine - INFO - Epoch(train) [7][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:06:56 time: 1.1661 data_time: 0.0573 memory: 14140 loss: 0.6242 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0364 loss_cls: 0.1501 acc: 92.5781 loss_bbox: 0.2201 loss_mask: 0.2050 2024/01/14 03:24:14 - mmengine - INFO - Epoch(train) [7][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:05:57 time: 1.2035 data_time: 0.0514 memory: 13811 loss: 0.5341 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0375 loss_cls: 0.1294 acc: 99.2188 loss_bbox: 0.1751 loss_mask: 0.1809 2024/01/14 03:25:14 - mmengine - INFO - Epoch(train) [7][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:04:57 time: 1.2012 data_time: 0.0588 memory: 14472 loss: 0.5797 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0362 loss_cls: 0.1433 acc: 89.4531 loss_bbox: 0.1969 loss_mask: 0.1901 2024/01/14 03:26:13 - mmengine - INFO - Epoch(train) [7][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:03:57 time: 1.1930 data_time: 0.0546 memory: 14310 loss: 0.6551 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0354 loss_cls: 0.1681 acc: 93.7500 loss_bbox: 0.2285 loss_mask: 0.2029 2024/01/14 03:27:14 - mmengine - INFO - Epoch(train) [7][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:02:58 time: 1.2060 data_time: 0.0389 memory: 14041 loss: 0.4852 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0314 loss_cls: 0.1133 acc: 99.8047 loss_bbox: 0.1548 loss_mask: 0.1741 2024/01/14 03:28:13 - mmengine - INFO - Epoch(train) [7][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:01:58 time: 1.1882 data_time: 0.0565 memory: 14424 loss: 0.6002 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0334 loss_cls: 0.1445 acc: 99.6094 loss_bbox: 0.2090 loss_mask: 0.1991 2024/01/14 03:29:13 - mmengine - INFO - Epoch(train) [7][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:00:58 time: 1.1903 data_time: 0.0515 memory: 14693 loss: 0.5006 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0258 loss_cls: 0.1194 acc: 93.3594 loss_bbox: 0.1713 loss_mask: 0.1735 2024/01/14 03:30:13 - mmengine - INFO - Epoch(train) [7][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:59:58 time: 1.2030 data_time: 0.0476 memory: 14469 loss: 0.5125 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0278 loss_cls: 0.1284 acc: 99.6094 loss_bbox: 0.1734 loss_mask: 0.1729 2024/01/14 03:31:12 - mmengine - INFO - Epoch(train) [7][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:58:57 time: 1.1763 data_time: 0.0554 memory: 14954 loss: 0.6113 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0375 loss_cls: 0.1672 acc: 90.6250 loss_bbox: 0.2099 loss_mask: 0.1845 2024/01/14 03:32:12 - mmengine - INFO - Epoch(train) [7][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:57:58 time: 1.2038 data_time: 0.0421 memory: 14134 loss: 0.5283 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0305 loss_cls: 0.1209 acc: 99.6094 loss_bbox: 0.1678 loss_mask: 0.1981 2024/01/14 03:33:11 - mmengine - INFO - Epoch(train) [7][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:56:58 time: 1.1938 data_time: 0.0623 memory: 14472 loss: 0.7267 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0436 loss_cls: 0.2025 acc: 87.8906 loss_bbox: 0.2518 loss_mask: 0.2109 2024/01/14 03:33:36 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 03:34:12 - mmengine - INFO - Epoch(train) [7][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:55:59 time: 1.2103 data_time: 0.0541 memory: 14658 loss: 0.5872 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0443 loss_cls: 0.1433 acc: 99.6094 loss_bbox: 0.1939 loss_mask: 0.1921 2024/01/14 03:35:12 - mmengine - INFO - Epoch(train) [7][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:55:00 time: 1.2080 data_time: 0.0521 memory: 14424 loss: 0.5417 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0300 loss_cls: 0.1358 acc: 91.2109 loss_bbox: 0.1659 loss_mask: 0.1954 2024/01/14 03:36:13 - mmengine - INFO - Epoch(train) [7][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:54:00 time: 1.2118 data_time: 0.0434 memory: 14469 loss: 0.4811 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0276 loss_cls: 0.1189 acc: 99.4141 loss_bbox: 0.1585 loss_mask: 0.1645 2024/01/14 03:37:13 - mmengine - INFO - Epoch(train) [7][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:53:01 time: 1.2023 data_time: 0.0488 memory: 14284 loss: 0.6518 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0417 loss_cls: 0.1708 acc: 94.7266 loss_bbox: 0.2097 loss_mask: 0.2147 2024/01/14 03:38:13 - mmengine - INFO - Epoch(train) [7][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:52:01 time: 1.1938 data_time: 0.0484 memory: 14424 loss: 0.5729 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0274 loss_cls: 0.1281 acc: 85.5469 loss_bbox: 0.1892 loss_mask: 0.2145 2024/01/14 03:39:13 - mmengine - INFO - Epoch(train) [7][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:51:01 time: 1.1987 data_time: 0.0499 memory: 13952 loss: 0.6000 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0323 loss_cls: 0.1578 acc: 96.2891 loss_bbox: 0.1946 loss_mask: 0.2037 2024/01/14 03:40:13 - mmengine - INFO - Epoch(train) [7][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:50:01 time: 1.1960 data_time: 0.0518 memory: 14472 loss: 0.5894 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0325 loss_cls: 0.1414 acc: 98.2422 loss_bbox: 0.1990 loss_mask: 0.2002 2024/01/14 03:41:13 - mmengine - INFO - Epoch(train) [7][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:49:02 time: 1.2102 data_time: 0.0535 memory: 14950 loss: 0.6029 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0344 loss_cls: 0.1534 acc: 98.8281 loss_bbox: 0.2076 loss_mask: 0.1900 2024/01/14 03:42:13 - mmengine - INFO - Epoch(train) [7][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:48:02 time: 1.1945 data_time: 0.0533 memory: 14953 loss: 0.6454 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0511 loss_cls: 0.1751 acc: 94.7266 loss_bbox: 0.2049 loss_mask: 0.1886 2024/01/14 03:43:12 - mmengine - INFO - Epoch(train) [7][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:47:02 time: 1.1938 data_time: 0.0531 memory: 14423 loss: 0.6319 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0424 loss_cls: 0.1577 acc: 87.1094 loss_bbox: 0.2093 loss_mask: 0.1955 2024/01/14 03:44:12 - mmengine - INFO - Epoch(train) [7][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:46:02 time: 1.1939 data_time: 0.0491 memory: 14472 loss: 0.5716 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0334 loss_cls: 0.1457 acc: 91.4062 loss_bbox: 0.1950 loss_mask: 0.1834 2024/01/14 03:45:12 - mmengine - INFO - Epoch(train) [7][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:45:02 time: 1.1865 data_time: 0.0516 memory: 14472 loss: 0.6107 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0356 loss_cls: 0.1644 acc: 99.8047 loss_bbox: 0.2034 loss_mask: 0.1940 2024/01/14 03:46:12 - mmengine - INFO - Epoch(train) [7][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:44:03 time: 1.2066 data_time: 0.0550 memory: 13811 loss: 0.6257 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0367 loss_cls: 0.1668 acc: 86.5234 loss_bbox: 0.2160 loss_mask: 0.1947 2024/01/14 03:47:12 - mmengine - INFO - Epoch(train) [7][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:43:03 time: 1.1995 data_time: 0.0511 memory: 14653 loss: 0.5689 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0332 loss_cls: 0.1417 acc: 100.0000 loss_bbox: 0.1872 loss_mask: 0.1871 2024/01/14 03:48:13 - mmengine - INFO - Epoch(train) [7][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:42:05 time: 1.2224 data_time: 0.0673 memory: 14471 loss: 0.7460 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0494 loss_cls: 0.1921 acc: 98.0469 loss_bbox: 0.2516 loss_mask: 0.2328 2024/01/14 03:49:13 - mmengine - INFO - Epoch(train) [7][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:41:05 time: 1.2035 data_time: 0.0577 memory: 14134 loss: 0.6253 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0377 loss_cls: 0.1541 acc: 86.9141 loss_bbox: 0.2068 loss_mask: 0.2085 2024/01/14 03:50:12 - mmengine - INFO - Epoch(train) [7][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:40:04 time: 1.1697 data_time: 0.0574 memory: 13939 loss: 0.6565 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0444 loss_cls: 0.1696 acc: 98.4375 loss_bbox: 0.2289 loss_mask: 0.1967 2024/01/14 03:51:11 - mmengine - INFO - Epoch(train) [7][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:39:04 time: 1.1924 data_time: 0.0567 memory: 14472 loss: 0.5983 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0379 loss_cls: 0.1444 acc: 96.2891 loss_bbox: 0.2037 loss_mask: 0.2026 2024/01/14 03:52:11 - mmengine - INFO - Epoch(train) [7][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:38:04 time: 1.1972 data_time: 0.0619 memory: 14503 loss: 0.6053 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0396 loss_cls: 0.1458 acc: 99.4141 loss_bbox: 0.2023 loss_mask: 0.2004 2024/01/14 03:53:11 - mmengine - INFO - Epoch(train) [7][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:37:04 time: 1.1907 data_time: 0.0575 memory: 14472 loss: 0.6497 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0339 loss_cls: 0.1686 acc: 97.0703 loss_bbox: 0.2310 loss_mask: 0.1978 2024/01/14 03:53:34 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 03:54:10 - mmengine - INFO - Epoch(train) [7][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:36:04 time: 1.1924 data_time: 0.0520 memory: 14658 loss: 0.5662 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0324 loss_cls: 0.1314 acc: 100.0000 loss_bbox: 0.2029 loss_mask: 0.1898 2024/01/14 03:55:10 - mmengine - INFO - Epoch(train) [7][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:35:04 time: 1.1869 data_time: 0.0533 memory: 14485 loss: 0.5726 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0343 loss_cls: 0.1471 acc: 91.0156 loss_bbox: 0.1838 loss_mask: 0.1951 2024/01/14 03:56:09 - mmengine - INFO - Epoch(train) [7][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:34:04 time: 1.1844 data_time: 0.0590 memory: 14954 loss: 0.6096 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0437 loss_cls: 0.1555 acc: 94.1406 loss_bbox: 0.2047 loss_mask: 0.1913 2024/01/14 03:57:08 - mmengine - INFO - Epoch(train) [7][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:33:03 time: 1.1805 data_time: 0.0544 memory: 14317 loss: 0.6247 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0361 loss_cls: 0.1737 acc: 96.4844 loss_bbox: 0.2124 loss_mask: 0.1895 2024/01/14 03:58:07 - mmengine - INFO - Epoch(train) [7][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:32:02 time: 1.1728 data_time: 0.0485 memory: 14772 loss: 0.5597 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0346 loss_cls: 0.1390 acc: 89.6484 loss_bbox: 0.1712 loss_mask: 0.1964 2024/01/14 03:59:07 - mmengine - INFO - Epoch(train) [7][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:31:03 time: 1.2016 data_time: 0.0499 memory: 13952 loss: 0.6155 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0448 loss_cls: 0.1654 acc: 92.3828 loss_bbox: 0.2019 loss_mask: 0.1910 2024/01/14 04:00:07 - mmengine - INFO - Epoch(train) [7][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:30:03 time: 1.2061 data_time: 0.0571 memory: 14954 loss: 0.6427 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0347 loss_cls: 0.1557 acc: 97.0703 loss_bbox: 0.2228 loss_mask: 0.2208 2024/01/14 04:01:08 - mmengine - INFO - Epoch(train) [7][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:29:05 time: 1.2307 data_time: 0.0558 memory: 14423 loss: 0.6699 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0422 loss_cls: 0.1672 acc: 98.0469 loss_bbox: 0.2203 loss_mask: 0.2203 2024/01/14 04:02:08 - mmengine - INFO - Epoch(train) [7][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:28:05 time: 1.1945 data_time: 0.0561 memory: 14654 loss: 0.6016 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0388 loss_cls: 0.1634 acc: 99.8047 loss_bbox: 0.1947 loss_mask: 0.1880 2024/01/14 04:03:09 - mmengine - INFO - Epoch(train) [7][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:27:06 time: 1.2057 data_time: 0.0502 memory: 14472 loss: 0.5548 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0283 loss_cls: 0.1325 acc: 99.8047 loss_bbox: 0.1840 loss_mask: 0.1969 2024/01/14 04:04:07 - mmengine - INFO - Epoch(train) [7][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:26:05 time: 1.1783 data_time: 0.0535 memory: 14423 loss: 0.5625 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0311 loss_cls: 0.1361 acc: 84.1797 loss_bbox: 0.1889 loss_mask: 0.1875 2024/01/14 04:05:07 - mmengine - INFO - Epoch(train) [7][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:25:05 time: 1.1865 data_time: 0.0640 memory: 14469 loss: 0.6683 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0382 loss_cls: 0.1698 acc: 97.4609 loss_bbox: 0.2368 loss_mask: 0.2072 2024/01/14 04:06:06 - mmengine - INFO - Epoch(train) [7][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:24:05 time: 1.1924 data_time: 0.0530 memory: 14469 loss: 0.5968 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0343 loss_cls: 0.1565 acc: 96.8750 loss_bbox: 0.1905 loss_mask: 0.2002 2024/01/14 04:07:07 - mmengine - INFO - Epoch(train) [7][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:23:05 time: 1.2038 data_time: 0.0513 memory: 14131 loss: 0.5371 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0339 loss_cls: 0.1341 acc: 97.4609 loss_bbox: 0.1781 loss_mask: 0.1748 2024/01/14 04:08:07 - mmengine - INFO - Epoch(train) [7][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:22:06 time: 1.2139 data_time: 0.0565 memory: 14423 loss: 0.5767 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0330 loss_cls: 0.1610 acc: 91.9922 loss_bbox: 0.1871 loss_mask: 0.1766 2024/01/14 04:09:07 - mmengine - INFO - Epoch(train) [7][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:21:07 time: 1.2005 data_time: 0.0654 memory: 14954 loss: 0.6286 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0347 loss_cls: 0.1607 acc: 98.6328 loss_bbox: 0.2157 loss_mask: 0.2023 2024/01/14 04:10:07 - mmengine - INFO - Epoch(train) [7][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:20:07 time: 1.1973 data_time: 0.0675 memory: 14424 loss: 0.7103 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0400 loss_cls: 0.1888 acc: 94.5312 loss_bbox: 0.2424 loss_mask: 0.2203 2024/01/14 04:11:07 - mmengine - INFO - Epoch(train) [7][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:19:08 time: 1.2060 data_time: 0.0579 memory: 14472 loss: 0.5444 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0354 loss_cls: 0.1350 acc: 95.1172 loss_bbox: 0.1848 loss_mask: 0.1769 2024/01/14 04:12:08 - mmengine - INFO - Epoch(train) [7][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:18:08 time: 1.2058 data_time: 0.0499 memory: 14654 loss: 0.6127 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0406 loss_cls: 0.1521 acc: 98.2422 loss_bbox: 0.2053 loss_mask: 0.1954 2024/01/14 04:13:07 - mmengine - INFO - Epoch(train) [7][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:17:08 time: 1.1903 data_time: 0.0585 memory: 14472 loss: 0.5473 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0373 loss_cls: 0.1334 acc: 93.3594 loss_bbox: 0.1852 loss_mask: 0.1760 2024/01/14 04:13:31 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 04:14:07 - mmengine - INFO - Epoch(train) [7][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:16:08 time: 1.1877 data_time: 0.0630 memory: 13952 loss: 0.7392 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0419 loss_cls: 0.1987 acc: 93.5547 loss_bbox: 0.2491 loss_mask: 0.2273 2024/01/14 04:15:05 - mmengine - INFO - Epoch(train) [7][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:15:07 time: 1.1743 data_time: 0.0539 memory: 14951 loss: 0.5989 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0348 loss_cls: 0.1533 acc: 93.9453 loss_bbox: 0.2054 loss_mask: 0.1906 2024/01/14 04:16:06 - mmengine - INFO - Epoch(train) [7][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:14:08 time: 1.2027 data_time: 0.0512 memory: 13822 loss: 0.7122 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0471 loss_cls: 0.1797 acc: 96.6797 loss_bbox: 0.2382 loss_mask: 0.2251 2024/01/14 04:17:06 - mmengine - INFO - Epoch(train) [7][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:13:08 time: 1.1989 data_time: 0.0517 memory: 14533 loss: 0.6336 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0357 loss_cls: 0.1554 acc: 94.5312 loss_bbox: 0.2136 loss_mask: 0.2150 2024/01/14 04:18:05 - mmengine - INFO - Epoch(train) [7][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:12:08 time: 1.1824 data_time: 0.0554 memory: 14376 loss: 0.6519 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0437 loss_cls: 0.1626 acc: 85.3516 loss_bbox: 0.2088 loss_mask: 0.2203 2024/01/14 04:19:04 - mmengine - INFO - Epoch(train) [7][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:11:07 time: 1.1786 data_time: 0.0465 memory: 14358 loss: 0.5482 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0325 loss_cls: 0.1332 acc: 98.4375 loss_bbox: 0.1875 loss_mask: 0.1846 2024/01/14 04:20:03 - mmengine - INFO - Epoch(train) [7][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:10:07 time: 1.1930 data_time: 0.0551 memory: 14422 loss: 0.5859 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0367 loss_cls: 0.1409 acc: 89.8438 loss_bbox: 0.1968 loss_mask: 0.1932 2024/01/14 04:21:03 - mmengine - INFO - Epoch(train) [7][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:09:07 time: 1.1957 data_time: 0.0531 memory: 14472 loss: 0.6368 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0384 loss_cls: 0.1651 acc: 98.8281 loss_bbox: 0.2098 loss_mask: 0.2056 2024/01/14 04:22:02 - mmengine - INFO - Epoch(train) [7][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:08:07 time: 1.1788 data_time: 0.0574 memory: 14954 loss: 0.6354 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0432 loss_cls: 0.1621 acc: 94.5312 loss_bbox: 0.2108 loss_mask: 0.2043 2024/01/14 04:23:01 - mmengine - INFO - Epoch(train) [7][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:07:06 time: 1.1824 data_time: 0.0596 memory: 14658 loss: 0.6561 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0431 loss_cls: 0.1756 acc: 90.4297 loss_bbox: 0.2225 loss_mask: 0.2033 2024/01/14 04:24:00 - mmengine - INFO - Epoch(train) [7][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:06:06 time: 1.1845 data_time: 0.0459 memory: 13952 loss: 0.5433 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0250 loss_cls: 0.1323 acc: 99.0234 loss_bbox: 0.1852 loss_mask: 0.1914 2024/01/14 04:25:00 - mmengine - INFO - Epoch(train) [7][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:05:06 time: 1.2014 data_time: 0.0551 memory: 14424 loss: 0.5559 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0346 loss_cls: 0.1392 acc: 91.6016 loss_bbox: 0.1731 loss_mask: 0.1931 2024/01/14 04:26:00 - mmengine - INFO - Epoch(train) [7][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:04:07 time: 1.1931 data_time: 0.0561 memory: 14653 loss: 0.5921 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0354 loss_cls: 0.1564 acc: 94.7266 loss_bbox: 0.1973 loss_mask: 0.1861 2024/01/14 04:27:00 - mmengine - INFO - Epoch(train) [7][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:03:06 time: 1.1886 data_time: 0.0541 memory: 14423 loss: 0.4837 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0262 loss_cls: 0.1163 acc: 98.4375 loss_bbox: 0.1562 loss_mask: 0.1716 2024/01/14 04:28:00 - mmengine - INFO - Epoch(train) [7][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:02:07 time: 1.2106 data_time: 0.0474 memory: 14556 loss: 0.5759 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0248 loss_cls: 0.1442 acc: 99.8047 loss_bbox: 0.1950 loss_mask: 0.1989 2024/01/14 04:29:00 - mmengine - INFO - Epoch(train) [7][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:01:07 time: 1.1924 data_time: 0.0513 memory: 14951 loss: 0.6048 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0311 loss_cls: 0.1658 acc: 98.8281 loss_bbox: 0.1941 loss_mask: 0.1957 2024/01/14 04:29:59 - mmengine - INFO - Epoch(train) [7][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 13:00:07 time: 1.1825 data_time: 0.0608 memory: 14719 loss: 0.6703 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0440 loss_cls: 0.1796 acc: 84.7656 loss_bbox: 0.2242 loss_mask: 0.1992 2024/01/14 04:30:59 - mmengine - INFO - Epoch(train) [7][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:59:07 time: 1.1936 data_time: 0.0449 memory: 13771 loss: 0.5479 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0297 loss_cls: 0.1312 acc: 100.0000 loss_bbox: 0.1900 loss_mask: 0.1883 2024/01/14 04:31:58 - mmengine - INFO - Epoch(train) [7][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:58:07 time: 1.1990 data_time: 0.0538 memory: 13981 loss: 0.5844 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0233 loss_cls: 0.1767 acc: 97.6562 loss_bbox: 0.1839 loss_mask: 0.1893 2024/01/14 04:32:58 - mmengine - INFO - Epoch(train) [7][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:57:07 time: 1.1975 data_time: 0.0551 memory: 13771 loss: 0.5762 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0308 loss_cls: 0.1477 acc: 91.4062 loss_bbox: 0.1933 loss_mask: 0.1905 2024/01/14 04:33:22 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 04:33:57 - mmengine - INFO - Epoch(train) [7][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:56:07 time: 1.1746 data_time: 0.0464 memory: 14469 loss: 0.5873 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0254 loss_cls: 0.1401 acc: 94.3359 loss_bbox: 0.2078 loss_mask: 0.2029 2024/01/14 04:34:58 - mmengine - INFO - Epoch(train) [7][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:55:08 time: 1.2147 data_time: 0.0621 memory: 14790 loss: 0.6155 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0428 loss_cls: 0.1622 acc: 92.3828 loss_bbox: 0.1995 loss_mask: 0.1971 2024/01/14 04:35:57 - mmengine - INFO - Epoch(train) [7][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:54:08 time: 1.1914 data_time: 0.0593 memory: 14954 loss: 0.6571 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0382 loss_cls: 0.1751 acc: 88.0859 loss_bbox: 0.2127 loss_mask: 0.2071 2024/01/14 04:36:57 - mmengine - INFO - Epoch(train) [7][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:53:08 time: 1.1941 data_time: 0.0504 memory: 14287 loss: 0.5951 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0309 loss_cls: 0.1513 acc: 95.1172 loss_bbox: 0.1969 loss_mask: 0.1968 2024/01/14 04:37:56 - mmengine - INFO - Epoch(train) [7][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:52:08 time: 1.1835 data_time: 0.0565 memory: 14769 loss: 0.6562 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0486 loss_cls: 0.1689 acc: 99.8047 loss_bbox: 0.2030 loss_mask: 0.2172 2024/01/14 04:38:56 - mmengine - INFO - Epoch(train) [7][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:51:08 time: 1.1917 data_time: 0.0589 memory: 14424 loss: 0.6430 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0406 loss_cls: 0.1554 acc: 97.0703 loss_bbox: 0.2188 loss_mask: 0.2101 2024/01/14 04:39:56 - mmengine - INFO - Epoch(train) [7][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:50:08 time: 1.2044 data_time: 0.0509 memory: 14472 loss: 0.5439 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0336 loss_cls: 0.1349 acc: 94.1406 loss_bbox: 0.1727 loss_mask: 0.1867 2024/01/14 04:40:56 - mmengine - INFO - Epoch(train) [7][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:49:09 time: 1.2049 data_time: 0.0475 memory: 14469 loss: 0.5542 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0244 loss_cls: 0.1322 acc: 99.6094 loss_bbox: 0.1976 loss_mask: 0.1871 2024/01/14 04:41:57 - mmengine - INFO - Epoch(train) [7][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:48:09 time: 1.2112 data_time: 0.0560 memory: 14469 loss: 0.5785 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0360 loss_cls: 0.1446 acc: 88.8672 loss_bbox: 0.1921 loss_mask: 0.1885 2024/01/14 04:42:57 - mmengine - INFO - Epoch(train) [7][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:47:09 time: 1.1947 data_time: 0.0468 memory: 14658 loss: 0.5811 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0381 loss_cls: 0.1386 acc: 99.6094 loss_bbox: 0.1887 loss_mask: 0.1979 2024/01/14 04:43:57 - mmengine - INFO - Epoch(train) [7][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:46:10 time: 1.2111 data_time: 0.0512 memory: 14467 loss: 0.5913 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0337 loss_cls: 0.1704 acc: 94.1406 loss_bbox: 0.1870 loss_mask: 0.1851 2024/01/14 04:44:57 - mmengine - INFO - Epoch(train) [7][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:45:11 time: 1.2045 data_time: 0.0560 memory: 14472 loss: 0.6330 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0335 loss_cls: 0.1597 acc: 98.6328 loss_bbox: 0.2226 loss_mask: 0.2033 2024/01/14 04:45:57 - mmengine - INFO - Epoch(train) [7][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:44:11 time: 1.1968 data_time: 0.0507 memory: 14423 loss: 0.5519 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0233 loss_cls: 0.1388 acc: 93.7500 loss_bbox: 0.1873 loss_mask: 0.1878 2024/01/14 04:46:57 - mmengine - INFO - Epoch(train) [7][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:43:11 time: 1.1965 data_time: 0.0575 memory: 14954 loss: 0.6340 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0360 loss_cls: 0.1586 acc: 88.2812 loss_bbox: 0.2187 loss_mask: 0.2014 2024/01/14 04:47:57 - mmengine - INFO - Epoch(train) [7][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:42:12 time: 1.2013 data_time: 0.0618 memory: 14327 loss: 0.7144 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0431 loss_cls: 0.1956 acc: 97.2656 loss_bbox: 0.2406 loss_mask: 0.2131 2024/01/14 04:48:57 - mmengine - INFO - Epoch(train) [7][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:41:12 time: 1.1956 data_time: 0.0481 memory: 14472 loss: 0.6079 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0346 loss_cls: 0.1581 acc: 99.8047 loss_bbox: 0.2064 loss_mask: 0.1925 2024/01/14 04:49:56 - mmengine - INFO - Epoch(train) [7][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:40:12 time: 1.1890 data_time: 0.0502 memory: 14469 loss: 0.5793 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0307 loss_cls: 0.1486 acc: 97.4609 loss_bbox: 0.1974 loss_mask: 0.1884 2024/01/14 04:50:56 - mmengine - INFO - Epoch(train) [7][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:39:12 time: 1.1883 data_time: 0.0562 memory: 14519 loss: 0.6170 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0436 loss_cls: 0.1621 acc: 99.4141 loss_bbox: 0.2066 loss_mask: 0.1856 2024/01/14 04:51:56 - mmengine - INFO - Epoch(train) [7][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:38:12 time: 1.2055 data_time: 0.0680 memory: 14472 loss: 0.7342 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0453 loss_cls: 0.1798 acc: 98.0469 loss_bbox: 0.2618 loss_mask: 0.2259 2024/01/14 04:52:55 - mmengine - INFO - Epoch(train) [7][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:37:12 time: 1.1810 data_time: 0.0613 memory: 14472 loss: 0.6025 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0439 loss_cls: 0.1529 acc: 99.2188 loss_bbox: 0.1948 loss_mask: 0.1949 2024/01/14 04:53:19 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 04:53:55 - mmengine - INFO - Epoch(train) [7][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:36:12 time: 1.1870 data_time: 0.0558 memory: 14472 loss: 0.5393 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0293 loss_cls: 0.1167 acc: 95.3125 loss_bbox: 0.1869 loss_mask: 0.1938 2024/01/14 04:54:54 - mmengine - INFO - Epoch(train) [7][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:35:12 time: 1.1924 data_time: 0.0611 memory: 14595 loss: 0.6259 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0323 loss_cls: 0.1501 acc: 99.8047 loss_bbox: 0.2081 loss_mask: 0.2188 2024/01/14 04:55:53 - mmengine - INFO - Epoch(train) [7][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:34:11 time: 1.1844 data_time: 0.0478 memory: 14469 loss: 0.5822 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0343 loss_cls: 0.1382 acc: 100.0000 loss_bbox: 0.2064 loss_mask: 0.1888 2024/01/14 04:56:53 - mmengine - INFO - Epoch(train) [7][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:33:11 time: 1.1882 data_time: 0.0542 memory: 14469 loss: 0.5859 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0306 loss_cls: 0.1501 acc: 88.0859 loss_bbox: 0.1915 loss_mask: 0.1991 2024/01/14 04:57:52 - mmengine - INFO - Epoch(train) [7][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:32:11 time: 1.1840 data_time: 0.0467 memory: 14328 loss: 0.4906 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0277 loss_cls: 0.1261 acc: 99.8047 loss_bbox: 0.1591 loss_mask: 0.1665 2024/01/14 04:58:52 - mmengine - INFO - Epoch(train) [7][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:31:11 time: 1.2059 data_time: 0.0552 memory: 14472 loss: 0.5977 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0315 loss_cls: 0.1482 acc: 97.8516 loss_bbox: 0.1891 loss_mask: 0.2161 2024/01/14 04:59:52 - mmengine - INFO - Epoch(train) [7][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:30:12 time: 1.1936 data_time: 0.0485 memory: 14658 loss: 0.6211 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0433 loss_cls: 0.1575 acc: 90.6250 loss_bbox: 0.2077 loss_mask: 0.1927 2024/01/14 05:00:52 - mmengine - INFO - Epoch(train) [7][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:29:12 time: 1.2044 data_time: 0.0501 memory: 14954 loss: 0.6673 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0392 loss_cls: 0.1722 acc: 90.8203 loss_bbox: 0.2220 loss_mask: 0.2167 2024/01/14 05:01:51 - mmengine - INFO - Epoch(train) [7][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:28:12 time: 1.1763 data_time: 0.0622 memory: 14041 loss: 0.6892 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0430 loss_cls: 0.1816 acc: 78.5156 loss_bbox: 0.2366 loss_mask: 0.2116 2024/01/14 05:02:52 - mmengine - INFO - Epoch(train) [7][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:27:12 time: 1.2077 data_time: 0.0566 memory: 14954 loss: 0.5812 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0335 loss_cls: 0.1454 acc: 98.2422 loss_bbox: 0.1887 loss_mask: 0.2001 2024/01/14 05:03:50 - mmengine - INFO - Epoch(train) [7][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:26:11 time: 1.1661 data_time: 0.0597 memory: 14204 loss: 0.6586 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0515 loss_cls: 0.1707 acc: 90.4297 loss_bbox: 0.2122 loss_mask: 0.2054 2024/01/14 05:04:49 - mmengine - INFO - Epoch(train) [7][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:25:11 time: 1.1891 data_time: 0.0633 memory: 14472 loss: 0.6646 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0419 loss_cls: 0.1725 acc: 95.1172 loss_bbox: 0.2249 loss_mask: 0.2001 2024/01/14 05:05:49 - mmengine - INFO - Epoch(train) [7][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:24:11 time: 1.1908 data_time: 0.0510 memory: 14095 loss: 0.6345 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0330 loss_cls: 0.1747 acc: 87.1094 loss_bbox: 0.2076 loss_mask: 0.2018 2024/01/14 05:06:49 - mmengine - INFO - Epoch(train) [7][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:23:12 time: 1.2071 data_time: 0.0532 memory: 14132 loss: 0.6201 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0378 loss_cls: 0.1501 acc: 92.7734 loss_bbox: 0.2049 loss_mask: 0.2139 2024/01/14 05:07:50 - mmengine - INFO - Epoch(train) [7][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:22:12 time: 1.2098 data_time: 0.0583 memory: 14472 loss: 0.6247 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0316 loss_cls: 0.1636 acc: 95.3125 loss_bbox: 0.2135 loss_mask: 0.2013 2024/01/14 05:08:50 - mmengine - INFO - Epoch(train) [7][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:21:13 time: 1.2024 data_time: 0.0578 memory: 14750 loss: 0.6088 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0448 loss_cls: 0.1524 acc: 96.6797 loss_bbox: 0.1975 loss_mask: 0.1994 2024/01/14 05:09:50 - mmengine - INFO - Epoch(train) [7][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:20:13 time: 1.2020 data_time: 0.0567 memory: 14424 loss: 0.6031 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0503 loss_cls: 0.1579 acc: 94.7266 loss_bbox: 0.1896 loss_mask: 0.1878 2024/01/14 05:10:51 - mmengine - INFO - Epoch(train) [7][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:19:14 time: 1.2154 data_time: 0.0497 memory: 14954 loss: 0.6521 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0336 loss_cls: 0.1647 acc: 99.2188 loss_bbox: 0.2125 loss_mask: 0.2202 2024/01/14 05:11:51 - mmengine - INFO - Epoch(train) [7][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:18:15 time: 1.2109 data_time: 0.0556 memory: 14954 loss: 0.6508 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0341 loss_cls: 0.1821 acc: 95.8984 loss_bbox: 0.2210 loss_mask: 0.1978 2024/01/14 05:12:52 - mmengine - INFO - Epoch(train) [7][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:17:16 time: 1.2143 data_time: 0.0477 memory: 14472 loss: 0.5808 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0304 loss_cls: 0.1494 acc: 97.8516 loss_bbox: 0.1821 loss_mask: 0.2080 2024/01/14 05:13:16 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 05:13:53 - mmengine - INFO - Epoch(train) [7][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:16:17 time: 1.2144 data_time: 0.0519 memory: 13952 loss: 0.5840 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0328 loss_cls: 0.1511 acc: 96.2891 loss_bbox: 0.1956 loss_mask: 0.1913 2024/01/14 05:14:53 - mmengine - INFO - Epoch(train) [7][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:15:17 time: 1.1988 data_time: 0.0502 memory: 14786 loss: 0.6276 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0385 loss_cls: 0.1577 acc: 98.8281 loss_bbox: 0.2074 loss_mask: 0.2070 2024/01/14 05:15:52 - mmengine - INFO - Epoch(train) [7][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:14:17 time: 1.1960 data_time: 0.0535 memory: 14218 loss: 0.5900 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0297 loss_cls: 0.1476 acc: 96.4844 loss_bbox: 0.2062 loss_mask: 0.1931 2024/01/14 05:16:52 - mmengine - INFO - Epoch(train) [7][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:13:17 time: 1.1990 data_time: 0.0558 memory: 13933 loss: 0.6019 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0323 loss_cls: 0.1560 acc: 99.0234 loss_bbox: 0.2017 loss_mask: 0.1886 2024/01/14 05:17:53 - mmengine - INFO - Epoch(train) [7][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:12:18 time: 1.2077 data_time: 0.0520 memory: 14951 loss: 0.6125 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0360 loss_cls: 0.1401 acc: 99.6094 loss_bbox: 0.2139 loss_mask: 0.2076 2024/01/14 05:18:53 - mmengine - INFO - Epoch(train) [7][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:11:19 time: 1.2115 data_time: 0.0691 memory: 14472 loss: 0.7339 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0467 loss_cls: 0.1896 acc: 82.4219 loss_bbox: 0.2606 loss_mask: 0.2142 2024/01/14 05:19:29 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 05:19:29 - mmengine - INFO - Saving checkpoint at 7 epochs 2024/01/14 05:19:46 - mmengine - INFO - Epoch(val) [7][ 50/313] eta: 0:01:01 time: 0.2343 data_time: 0.0295 memory: 14361 2024/01/14 05:19:58 - mmengine - INFO - Epoch(val) [7][100/313] eta: 0:00:50 time: 0.2360 data_time: 0.0299 memory: 3311 2024/01/14 05:20:10 - mmengine - INFO - Epoch(val) [7][150/313] eta: 0:00:38 time: 0.2307 data_time: 0.0293 memory: 3368 2024/01/14 05:20:22 - mmengine - INFO - Epoch(val) [7][200/313] eta: 0:00:26 time: 0.2490 data_time: 0.0318 memory: 3331 2024/01/14 05:20:33 - mmengine - INFO - Epoch(val) [7][250/313] eta: 0:00:14 time: 0.2194 data_time: 0.0197 memory: 3368 2024/01/14 05:20:44 - mmengine - INFO - Epoch(val) [7][300/313] eta: 0:00:03 time: 0.2258 data_time: 0.0236 memory: 3331 2024/01/14 05:20:53 - mmengine - INFO - Evaluating bbox... 2024/01/14 05:21:16 - mmengine - INFO - bbox_mAP_copypaste: 0.458 0.679 0.506 0.278 0.500 0.606 2024/01/14 05:21:16 - mmengine - INFO - Evaluating segm... 2024/01/14 05:21:41 - mmengine - INFO - segm_mAP_copypaste: 0.414 0.650 0.442 0.208 0.449 0.601 2024/01/14 05:21:42 - mmengine - INFO - Epoch(val) [7][313/313] coco/bbox_mAP: 0.4580 coco/bbox_mAP_50: 0.6790 coco/bbox_mAP_75: 0.5060 coco/bbox_mAP_s: 0.2780 coco/bbox_mAP_m: 0.5000 coco/bbox_mAP_l: 0.6060 coco/segm_mAP: 0.4140 coco/segm_mAP_50: 0.6500 coco/segm_mAP_75: 0.4420 coco/segm_mAP_s: 0.2080 coco/segm_mAP_m: 0.4490 coco/segm_mAP_l: 0.6010 data_time: 0.0263 time: 0.2312 2024/01/14 05:22:42 - mmengine - INFO - Epoch(train) [8][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:09:43 time: 1.2089 data_time: 0.0589 memory: 14030 loss: 0.5384 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0347 loss_cls: 0.1316 acc: 83.0078 loss_bbox: 0.1761 loss_mask: 0.1796 2024/01/14 05:23:42 - mmengine - INFO - Epoch(train) [8][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:08:43 time: 1.1913 data_time: 0.0442 memory: 14585 loss: 0.4930 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0257 loss_cls: 0.1071 acc: 97.4609 loss_bbox: 0.1694 loss_mask: 0.1841 2024/01/14 05:24:42 - mmengine - INFO - Epoch(train) [8][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:07:44 time: 1.2019 data_time: 0.0625 memory: 14954 loss: 0.5318 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0294 loss_cls: 0.1237 acc: 99.2188 loss_bbox: 0.1770 loss_mask: 0.1947 2024/01/14 05:25:41 - mmengine - INFO - Epoch(train) [8][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:06:44 time: 1.1869 data_time: 0.0536 memory: 14472 loss: 0.5906 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0383 loss_cls: 0.1448 acc: 93.7500 loss_bbox: 0.1979 loss_mask: 0.1938 2024/01/14 05:26:41 - mmengine - INFO - Epoch(train) [8][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:05:44 time: 1.2002 data_time: 0.0576 memory: 14951 loss: 0.6548 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0412 loss_cls: 0.1659 acc: 91.6016 loss_bbox: 0.2332 loss_mask: 0.1943 2024/01/14 05:27:41 - mmengine - INFO - Epoch(train) [8][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:04:44 time: 1.1895 data_time: 0.0504 memory: 14585 loss: 0.5398 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0319 loss_cls: 0.1284 acc: 99.2188 loss_bbox: 0.1751 loss_mask: 0.1867 2024/01/14 05:28:39 - mmengine - INFO - Epoch(train) [8][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:03:43 time: 1.1697 data_time: 0.0611 memory: 14265 loss: 0.6278 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0386 loss_cls: 0.1582 acc: 88.8672 loss_bbox: 0.2177 loss_mask: 0.1973 2024/01/14 05:29:39 - mmengine - INFO - Epoch(train) [8][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:02:43 time: 1.1872 data_time: 0.0498 memory: 13952 loss: 0.5013 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0280 loss_cls: 0.1153 acc: 94.3359 loss_bbox: 0.1721 loss_mask: 0.1796 2024/01/14 05:30:38 - mmengine - INFO - Epoch(train) [8][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:01:43 time: 1.1929 data_time: 0.0521 memory: 14472 loss: 0.5894 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0381 loss_cls: 0.1404 acc: 93.9453 loss_bbox: 0.1920 loss_mask: 0.2065 2024/01/14 05:31:38 - mmengine - INFO - Epoch(train) [8][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 12:00:43 time: 1.1880 data_time: 0.0484 memory: 14134 loss: 0.6032 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0419 loss_cls: 0.1434 acc: 96.8750 loss_bbox: 0.2039 loss_mask: 0.2005 2024/01/14 05:32:38 - mmengine - INFO - Epoch(train) [8][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:59:43 time: 1.2079 data_time: 0.0534 memory: 14950 loss: 0.5907 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0313 loss_cls: 0.1489 acc: 98.8281 loss_bbox: 0.2052 loss_mask: 0.1948 2024/01/14 05:33:38 - mmengine - INFO - Epoch(train) [8][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:58:44 time: 1.1913 data_time: 0.0571 memory: 14300 loss: 0.6111 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0359 loss_cls: 0.1534 acc: 98.4375 loss_bbox: 0.2074 loss_mask: 0.2015 2024/01/14 05:34:37 - mmengine - INFO - Epoch(train) [8][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:57:43 time: 1.1873 data_time: 0.0529 memory: 14472 loss: 0.5580 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0327 loss_cls: 0.1302 acc: 83.2031 loss_bbox: 0.1882 loss_mask: 0.1973 2024/01/14 05:35:25 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 05:35:37 - mmengine - INFO - Epoch(train) [8][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:56:43 time: 1.1916 data_time: 0.0611 memory: 14472 loss: 0.6540 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0392 loss_cls: 0.1731 acc: 97.8516 loss_bbox: 0.2196 loss_mask: 0.2056 2024/01/14 05:36:36 - mmengine - INFO - Epoch(train) [8][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:55:44 time: 1.1940 data_time: 0.0445 memory: 14954 loss: 0.5790 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0348 loss_cls: 0.1394 acc: 91.4062 loss_bbox: 0.2010 loss_mask: 0.1917 2024/01/14 05:37:36 - mmengine - INFO - Epoch(train) [8][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:54:44 time: 1.1970 data_time: 0.0498 memory: 14328 loss: 0.5770 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0346 loss_cls: 0.1363 acc: 97.6562 loss_bbox: 0.1956 loss_mask: 0.1970 2024/01/14 05:38:35 - mmengine - INFO - Epoch(train) [8][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:53:44 time: 1.1839 data_time: 0.0571 memory: 14530 loss: 0.5998 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0375 loss_cls: 0.1497 acc: 89.8438 loss_bbox: 0.2012 loss_mask: 0.1987 2024/01/14 05:39:36 - mmengine - INFO - Epoch(train) [8][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:52:44 time: 1.2128 data_time: 0.0553 memory: 14818 loss: 0.5847 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0311 loss_cls: 0.1536 acc: 94.7266 loss_bbox: 0.1904 loss_mask: 0.1901 2024/01/14 05:40:36 - mmengine - INFO - Epoch(train) [8][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:51:45 time: 1.1990 data_time: 0.0613 memory: 14472 loss: 0.5976 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0378 loss_cls: 0.1524 acc: 99.4141 loss_bbox: 0.2046 loss_mask: 0.1867 2024/01/14 05:41:36 - mmengine - INFO - Epoch(train) [8][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:50:45 time: 1.2019 data_time: 0.0463 memory: 14423 loss: 0.5961 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0383 loss_cls: 0.1488 acc: 93.3594 loss_bbox: 0.2028 loss_mask: 0.1948 2024/01/14 05:42:36 - mmengine - INFO - Epoch(train) [8][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:49:45 time: 1.1909 data_time: 0.0530 memory: 14954 loss: 0.5018 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0278 loss_cls: 0.1233 acc: 93.1641 loss_bbox: 0.1617 loss_mask: 0.1807 2024/01/14 05:43:35 - mmengine - INFO - Epoch(train) [8][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:48:45 time: 1.1879 data_time: 0.0503 memory: 14423 loss: 0.5801 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0361 loss_cls: 0.1302 acc: 98.4375 loss_bbox: 0.1930 loss_mask: 0.2049 2024/01/14 05:44:34 - mmengine - INFO - Epoch(train) [8][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:47:45 time: 1.1869 data_time: 0.0629 memory: 14423 loss: 0.5618 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0312 loss_cls: 0.1395 acc: 97.4609 loss_bbox: 0.1940 loss_mask: 0.1797 2024/01/14 05:45:34 - mmengine - INFO - Epoch(train) [8][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:46:45 time: 1.1933 data_time: 0.0552 memory: 14472 loss: 0.5801 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0338 loss_cls: 0.1343 acc: 98.8281 loss_bbox: 0.1951 loss_mask: 0.2085 2024/01/14 05:46:34 - mmengine - INFO - Epoch(train) [8][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:45:45 time: 1.2089 data_time: 0.0577 memory: 14654 loss: 0.6430 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0422 loss_cls: 0.1549 acc: 88.2812 loss_bbox: 0.2270 loss_mask: 0.2066 2024/01/14 05:47:35 - mmengine - INFO - Epoch(train) [8][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:44:46 time: 1.2100 data_time: 0.0509 memory: 14705 loss: 0.5965 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0321 loss_cls: 0.1511 acc: 99.0234 loss_bbox: 0.2068 loss_mask: 0.1886 2024/01/14 05:48:35 - mmengine - INFO - Epoch(train) [8][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:43:46 time: 1.1974 data_time: 0.0563 memory: 14472 loss: 0.6272 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0426 loss_cls: 0.1556 acc: 92.1875 loss_bbox: 0.2126 loss_mask: 0.1965 2024/01/14 05:49:34 - mmengine - INFO - Epoch(train) [8][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:42:46 time: 1.1758 data_time: 0.0457 memory: 14800 loss: 0.5621 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0328 loss_cls: 0.1339 acc: 99.8047 loss_bbox: 0.1785 loss_mask: 0.1994 2024/01/14 05:50:33 - mmengine - INFO - Epoch(train) [8][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:41:46 time: 1.1887 data_time: 0.0548 memory: 14469 loss: 0.5300 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0354 loss_cls: 0.1260 acc: 98.4375 loss_bbox: 0.1784 loss_mask: 0.1758 2024/01/14 05:51:33 - mmengine - INFO - Epoch(train) [8][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:40:46 time: 1.1945 data_time: 0.0630 memory: 14472 loss: 0.6327 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0420 loss_cls: 0.1584 acc: 94.3359 loss_bbox: 0.2167 loss_mask: 0.1996 2024/01/14 05:52:33 - mmengine - INFO - Epoch(train) [8][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:39:46 time: 1.1974 data_time: 0.0467 memory: 14741 loss: 0.5706 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0361 loss_cls: 0.1431 acc: 87.1094 loss_bbox: 0.2004 loss_mask: 0.1818 2024/01/14 05:53:33 - mmengine - INFO - Epoch(train) [8][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:38:47 time: 1.2023 data_time: 0.0509 memory: 13771 loss: 0.5462 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0332 loss_cls: 0.1386 acc: 94.9219 loss_bbox: 0.1874 loss_mask: 0.1752 2024/01/14 05:54:32 - mmengine - INFO - Epoch(train) [8][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:37:47 time: 1.1909 data_time: 0.0489 memory: 14472 loss: 0.4602 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0210 loss_cls: 0.1148 acc: 94.9219 loss_bbox: 0.1552 loss_mask: 0.1598 2024/01/14 05:55:20 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 05:55:32 - mmengine - INFO - Epoch(train) [8][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:36:47 time: 1.1905 data_time: 0.0567 memory: 14038 loss: 0.6533 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0410 loss_cls: 0.1600 acc: 97.6562 loss_bbox: 0.2271 loss_mask: 0.2041 2024/01/14 05:56:32 - mmengine - INFO - Epoch(train) [8][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:35:47 time: 1.1968 data_time: 0.0536 memory: 14159 loss: 0.5790 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0287 loss_cls: 0.1285 acc: 94.7266 loss_bbox: 0.1952 loss_mask: 0.2143 2024/01/14 05:57:33 - mmengine - INFO - Epoch(train) [8][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:34:48 time: 1.2197 data_time: 0.0523 memory: 14424 loss: 0.4804 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0255 loss_cls: 0.1128 acc: 86.7188 loss_bbox: 0.1588 loss_mask: 0.1721 2024/01/14 05:58:32 - mmengine - INFO - Epoch(train) [8][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:33:47 time: 1.1767 data_time: 0.0535 memory: 14954 loss: 0.5421 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0292 loss_cls: 0.1345 acc: 89.2578 loss_bbox: 0.1875 loss_mask: 0.1792 2024/01/14 05:59:31 - mmengine - INFO - Epoch(train) [8][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:32:47 time: 1.1922 data_time: 0.0551 memory: 14954 loss: 0.5971 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0333 loss_cls: 0.1453 acc: 99.0234 loss_bbox: 0.2029 loss_mask: 0.2046 2024/01/14 06:00:31 - mmengine - INFO - Epoch(train) [8][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:31:47 time: 1.1913 data_time: 0.0465 memory: 14423 loss: 0.4604 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0252 loss_cls: 0.0982 acc: 99.2188 loss_bbox: 0.1515 loss_mask: 0.1791 2024/01/14 06:01:30 - mmengine - INFO - Epoch(train) [8][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:30:47 time: 1.1905 data_time: 0.0545 memory: 13960 loss: 0.5789 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0353 loss_cls: 0.1399 acc: 98.6328 loss_bbox: 0.1973 loss_mask: 0.1927 2024/01/14 06:02:30 - mmengine - INFO - Epoch(train) [8][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:29:47 time: 1.1919 data_time: 0.0519 memory: 14658 loss: 0.5932 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0304 loss_cls: 0.1416 acc: 99.0234 loss_bbox: 0.1991 loss_mask: 0.2078 2024/01/14 06:03:30 - mmengine - INFO - Epoch(train) [8][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:28:48 time: 1.1969 data_time: 0.0490 memory: 14790 loss: 0.5956 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0351 loss_cls: 0.1584 acc: 99.0234 loss_bbox: 0.1987 loss_mask: 0.1880 2024/01/14 06:04:30 - mmengine - INFO - Epoch(train) [8][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:27:48 time: 1.1972 data_time: 0.0576 memory: 14472 loss: 0.5585 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0332 loss_cls: 0.1358 acc: 96.2891 loss_bbox: 0.1915 loss_mask: 0.1836 2024/01/14 06:05:29 - mmengine - INFO - Epoch(train) [8][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:26:48 time: 1.1850 data_time: 0.0501 memory: 14658 loss: 0.5262 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0255 loss_cls: 0.1237 acc: 93.9453 loss_bbox: 0.1796 loss_mask: 0.1881 2024/01/14 06:06:29 - mmengine - INFO - Epoch(train) [8][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:25:48 time: 1.1950 data_time: 0.0582 memory: 14951 loss: 0.6140 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0352 loss_cls: 0.1531 acc: 96.8750 loss_bbox: 0.2142 loss_mask: 0.1979 2024/01/14 06:07:28 - mmengine - INFO - Epoch(train) [8][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:24:48 time: 1.1960 data_time: 0.0546 memory: 14727 loss: 0.5206 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0286 loss_cls: 0.1275 acc: 91.4062 loss_bbox: 0.1687 loss_mask: 0.1885 2024/01/14 06:08:28 - mmengine - INFO - Epoch(train) [8][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:23:48 time: 1.1959 data_time: 0.0657 memory: 14472 loss: 0.6684 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0446 loss_cls: 0.1737 acc: 99.4141 loss_bbox: 0.2321 loss_mask: 0.2019 2024/01/14 06:09:28 - mmengine - INFO - Epoch(train) [8][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:22:48 time: 1.1972 data_time: 0.0502 memory: 14506 loss: 0.5518 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0319 loss_cls: 0.1460 acc: 96.6797 loss_bbox: 0.1717 loss_mask: 0.1864 2024/01/14 06:10:29 - mmengine - INFO - Epoch(train) [8][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:21:49 time: 1.2147 data_time: 0.0521 memory: 14472 loss: 0.6205 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0375 loss_cls: 0.1555 acc: 84.5703 loss_bbox: 0.2032 loss_mask: 0.2107 2024/01/14 06:11:29 - mmengine - INFO - Epoch(train) [8][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:20:50 time: 1.2107 data_time: 0.0476 memory: 13952 loss: 0.6233 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0304 loss_cls: 0.1626 acc: 86.5234 loss_bbox: 0.2052 loss_mask: 0.2114 2024/01/14 06:12:29 - mmengine - INFO - Epoch(train) [8][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:19:50 time: 1.1838 data_time: 0.0506 memory: 14954 loss: 0.6347 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0420 loss_cls: 0.1588 acc: 95.7031 loss_bbox: 0.2091 loss_mask: 0.2045 2024/01/14 06:13:29 - mmengine - INFO - Epoch(train) [8][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:18:50 time: 1.2082 data_time: 0.0495 memory: 14954 loss: 0.5511 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0374 loss_cls: 0.1400 acc: 97.6562 loss_bbox: 0.1801 loss_mask: 0.1832 2024/01/14 06:14:28 - mmengine - INFO - Epoch(train) [8][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:17:50 time: 1.1842 data_time: 0.0565 memory: 14612 loss: 0.5864 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0381 loss_cls: 0.1580 acc: 98.2422 loss_bbox: 0.1848 loss_mask: 0.1936 2024/01/14 06:15:17 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 06:15:28 - mmengine - INFO - Epoch(train) [8][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:16:50 time: 1.2011 data_time: 0.0635 memory: 14472 loss: 0.5901 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0396 loss_cls: 0.1338 acc: 96.6797 loss_bbox: 0.1951 loss_mask: 0.1996 2024/01/14 06:16:28 - mmengine - INFO - Epoch(train) [8][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:15:51 time: 1.1983 data_time: 0.0493 memory: 14472 loss: 0.6088 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0350 loss_cls: 0.1576 acc: 99.4141 loss_bbox: 0.2055 loss_mask: 0.1908 2024/01/14 06:17:29 - mmengine - INFO - Epoch(train) [8][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:14:51 time: 1.2170 data_time: 0.0580 memory: 14469 loss: 0.5878 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0367 loss_cls: 0.1444 acc: 98.8281 loss_bbox: 0.2051 loss_mask: 0.1901 2024/01/14 06:18:30 - mmengine - INFO - Epoch(train) [8][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:13:52 time: 1.2133 data_time: 0.0610 memory: 14424 loss: 0.6264 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0339 loss_cls: 0.1497 acc: 95.8984 loss_bbox: 0.2081 loss_mask: 0.2235 2024/01/14 06:19:29 - mmengine - INFO - Epoch(train) [8][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:12:52 time: 1.1846 data_time: 0.0525 memory: 14653 loss: 0.5817 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0326 loss_cls: 0.1491 acc: 96.2891 loss_bbox: 0.2009 loss_mask: 0.1901 2024/01/14 06:20:30 - mmengine - INFO - Epoch(train) [8][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:11:53 time: 1.2125 data_time: 0.0499 memory: 14594 loss: 0.5138 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0338 loss_cls: 0.1168 acc: 92.5781 loss_bbox: 0.1650 loss_mask: 0.1860 2024/01/14 06:21:30 - mmengine - INFO - Epoch(train) [8][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:10:53 time: 1.2027 data_time: 0.0518 memory: 14211 loss: 0.6580 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0448 loss_cls: 0.1687 acc: 98.6328 loss_bbox: 0.2200 loss_mask: 0.2042 2024/01/14 06:22:30 - mmengine - INFO - Epoch(train) [8][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:09:54 time: 1.2065 data_time: 0.0467 memory: 14954 loss: 0.5849 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0358 loss_cls: 0.1507 acc: 95.7031 loss_bbox: 0.1990 loss_mask: 0.1896 2024/01/14 06:23:31 - mmengine - INFO - Epoch(train) [8][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:08:54 time: 1.2101 data_time: 0.0512 memory: 14469 loss: 0.5370 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0250 loss_cls: 0.1340 acc: 93.9453 loss_bbox: 0.1877 loss_mask: 0.1823 2024/01/14 06:24:32 - mmengine - INFO - Epoch(train) [8][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:07:55 time: 1.2256 data_time: 0.0627 memory: 14954 loss: 0.6869 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0472 loss_cls: 0.1820 acc: 91.7969 loss_bbox: 0.2313 loss_mask: 0.2038 2024/01/14 06:25:32 - mmengine - INFO - Epoch(train) [8][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:06:56 time: 1.2044 data_time: 0.0557 memory: 14474 loss: 0.6713 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0384 loss_cls: 0.1734 acc: 96.8750 loss_bbox: 0.2295 loss_mask: 0.2106 2024/01/14 06:26:32 - mmengine - INFO - Epoch(train) [8][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:05:56 time: 1.2012 data_time: 0.0560 memory: 14469 loss: 0.5943 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0381 loss_cls: 0.1568 acc: 92.1875 loss_bbox: 0.1915 loss_mask: 0.1957 2024/01/14 06:27:32 - mmengine - INFO - Epoch(train) [8][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:04:56 time: 1.1989 data_time: 0.0505 memory: 14256 loss: 0.6019 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0309 loss_cls: 0.1679 acc: 89.8438 loss_bbox: 0.2020 loss_mask: 0.1859 2024/01/14 06:28:33 - mmengine - INFO - Epoch(train) [8][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:03:57 time: 1.2092 data_time: 0.0557 memory: 14427 loss: 0.6489 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0409 loss_cls: 0.1555 acc: 96.8750 loss_bbox: 0.2240 loss_mask: 0.2123 2024/01/14 06:29:33 - mmengine - INFO - Epoch(train) [8][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:02:57 time: 1.2045 data_time: 0.0426 memory: 14324 loss: 0.4819 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0245 loss_cls: 0.1192 acc: 98.6328 loss_bbox: 0.1608 loss_mask: 0.1700 2024/01/14 06:30:32 - mmengine - INFO - Epoch(train) [8][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:01:57 time: 1.1776 data_time: 0.0501 memory: 14469 loss: 0.6395 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0360 loss_cls: 0.1650 acc: 99.4141 loss_bbox: 0.2186 loss_mask: 0.2058 2024/01/14 06:31:31 - mmengine - INFO - Epoch(train) [8][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 11:00:57 time: 1.1851 data_time: 0.0476 memory: 14469 loss: 0.5946 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0372 loss_cls: 0.1493 acc: 99.6094 loss_bbox: 0.2017 loss_mask: 0.1930 2024/01/14 06:32:31 - mmengine - INFO - Epoch(train) [8][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:59:57 time: 1.2082 data_time: 0.0514 memory: 14423 loss: 0.5528 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0247 loss_cls: 0.1295 acc: 99.8047 loss_bbox: 0.1821 loss_mask: 0.2049 2024/01/14 06:33:32 - mmengine - INFO - Epoch(train) [8][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:58:58 time: 1.2055 data_time: 0.0585 memory: 14076 loss: 0.6238 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0360 loss_cls: 0.1656 acc: 90.0391 loss_bbox: 0.2068 loss_mask: 0.1991 2024/01/14 06:34:32 - mmengine - INFO - Epoch(train) [8][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:57:58 time: 1.2074 data_time: 0.0527 memory: 14472 loss: 0.5605 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0331 loss_cls: 0.1263 acc: 85.1562 loss_bbox: 0.1868 loss_mask: 0.2041 2024/01/14 06:35:19 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 06:35:31 - mmengine - INFO - Epoch(train) [8][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:56:58 time: 1.1776 data_time: 0.0585 memory: 13952 loss: 0.5669 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0326 loss_cls: 0.1485 acc: 88.0859 loss_bbox: 0.1904 loss_mask: 0.1835 2024/01/14 06:36:31 - mmengine - INFO - Epoch(train) [8][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:55:58 time: 1.1993 data_time: 0.0417 memory: 13988 loss: 0.5348 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0298 loss_cls: 0.1296 acc: 99.2188 loss_bbox: 0.1887 loss_mask: 0.1783 2024/01/14 06:37:30 - mmengine - INFO - Epoch(train) [8][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:54:58 time: 1.1813 data_time: 0.0549 memory: 14038 loss: 0.6104 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0309 loss_cls: 0.1507 acc: 99.8047 loss_bbox: 0.2073 loss_mask: 0.2075 2024/01/14 06:38:29 - mmengine - INFO - Epoch(train) [8][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:53:58 time: 1.1832 data_time: 0.0435 memory: 14472 loss: 0.5707 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0284 loss_cls: 0.1262 acc: 90.2344 loss_bbox: 0.1750 loss_mask: 0.2265 2024/01/14 06:39:29 - mmengine - INFO - Epoch(train) [8][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:52:58 time: 1.1975 data_time: 0.0458 memory: 14500 loss: 0.4992 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0300 loss_cls: 0.1138 acc: 98.0469 loss_bbox: 0.1586 loss_mask: 0.1864 2024/01/14 06:40:29 - mmengine - INFO - Epoch(train) [8][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:51:59 time: 1.2077 data_time: 0.0581 memory: 14658 loss: 0.6225 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0347 loss_cls: 0.1558 acc: 94.5312 loss_bbox: 0.2028 loss_mask: 0.2112 2024/01/14 06:41:29 - mmengine - INFO - Epoch(train) [8][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:50:59 time: 1.1981 data_time: 0.0519 memory: 14472 loss: 0.5980 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0326 loss_cls: 0.1603 acc: 95.3125 loss_bbox: 0.1974 loss_mask: 0.1913 2024/01/14 06:42:29 - mmengine - INFO - Epoch(train) [8][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:49:59 time: 1.2023 data_time: 0.0596 memory: 14954 loss: 0.6755 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0353 loss_cls: 0.1802 acc: 90.6250 loss_bbox: 0.2205 loss_mask: 0.2180 2024/01/14 06:43:29 - mmengine - INFO - Epoch(train) [8][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:48:59 time: 1.1808 data_time: 0.0440 memory: 14521 loss: 0.5776 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0303 loss_cls: 0.1418 acc: 89.8438 loss_bbox: 0.2071 loss_mask: 0.1897 2024/01/14 06:44:28 - mmengine - INFO - Epoch(train) [8][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:47:59 time: 1.1991 data_time: 0.0626 memory: 14328 loss: 0.6642 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0430 loss_cls: 0.1729 acc: 97.0703 loss_bbox: 0.2265 loss_mask: 0.1999 2024/01/14 06:45:29 - mmengine - INFO - Epoch(train) [8][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:47:00 time: 1.2052 data_time: 0.0576 memory: 14564 loss: 0.5820 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0327 loss_cls: 0.1363 acc: 87.3047 loss_bbox: 0.1941 loss_mask: 0.2048 2024/01/14 06:46:28 - mmengine - INFO - Epoch(train) [8][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:46:00 time: 1.1943 data_time: 0.0578 memory: 13990 loss: 0.5937 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0372 loss_cls: 0.1479 acc: 81.0547 loss_bbox: 0.1944 loss_mask: 0.1999 2024/01/14 06:47:28 - mmengine - INFO - Epoch(train) [8][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:45:00 time: 1.1934 data_time: 0.0490 memory: 14424 loss: 0.5624 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0337 loss_cls: 0.1294 acc: 91.7969 loss_bbox: 0.1815 loss_mask: 0.2051 2024/01/14 06:48:28 - mmengine - INFO - Epoch(train) [8][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:44:00 time: 1.2017 data_time: 0.0609 memory: 14537 loss: 0.6376 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0428 loss_cls: 0.1590 acc: 89.4531 loss_bbox: 0.2142 loss_mask: 0.2027 2024/01/14 06:49:28 - mmengine - INFO - Epoch(train) [8][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:43:00 time: 1.2029 data_time: 0.0618 memory: 14954 loss: 0.6225 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0385 loss_cls: 0.1679 acc: 98.6328 loss_bbox: 0.2045 loss_mask: 0.1953 2024/01/14 06:50:30 - mmengine - INFO - Epoch(train) [8][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:42:02 time: 1.2351 data_time: 0.0547 memory: 14954 loss: 0.6117 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0349 loss_cls: 0.1516 acc: 99.0234 loss_bbox: 0.2082 loss_mask: 0.2072 2024/01/14 06:51:31 - mmengine - INFO - Epoch(train) [8][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:41:03 time: 1.2173 data_time: 0.0476 memory: 14472 loss: 0.6553 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0388 loss_cls: 0.1585 acc: 99.4141 loss_bbox: 0.2221 loss_mask: 0.2181 2024/01/14 06:52:31 - mmengine - INFO - Epoch(train) [8][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:40:03 time: 1.1950 data_time: 0.0640 memory: 14526 loss: 0.6586 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0376 loss_cls: 0.1822 acc: 79.4922 loss_bbox: 0.2280 loss_mask: 0.1964 2024/01/14 06:53:31 - mmengine - INFO - Epoch(train) [8][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:39:03 time: 1.1987 data_time: 0.0499 memory: 13952 loss: 0.5808 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0271 loss_cls: 0.1428 acc: 99.8047 loss_bbox: 0.2027 loss_mask: 0.1972 2024/01/14 06:54:30 - mmengine - INFO - Epoch(train) [8][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:38:03 time: 1.1948 data_time: 0.0536 memory: 14545 loss: 0.6722 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0446 loss_cls: 0.1674 acc: 99.2188 loss_bbox: 0.2264 loss_mask: 0.2162 2024/01/14 06:55:18 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 06:55:30 - mmengine - INFO - Epoch(train) [8][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:37:03 time: 1.1906 data_time: 0.0507 memory: 13952 loss: 0.5120 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0284 loss_cls: 0.1201 acc: 95.3125 loss_bbox: 0.1796 loss_mask: 0.1696 2024/01/14 06:56:30 - mmengine - INFO - Epoch(train) [8][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:36:04 time: 1.2034 data_time: 0.0565 memory: 14954 loss: 0.6306 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0427 loss_cls: 0.1566 acc: 98.6328 loss_bbox: 0.2162 loss_mask: 0.1985 2024/01/14 06:57:29 - mmengine - INFO - Epoch(train) [8][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:35:03 time: 1.1710 data_time: 0.0534 memory: 14658 loss: 0.6117 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0369 loss_cls: 0.1552 acc: 96.6797 loss_bbox: 0.2141 loss_mask: 0.1913 2024/01/14 06:58:29 - mmengine - INFO - Epoch(train) [8][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:34:03 time: 1.2006 data_time: 0.0598 memory: 14486 loss: 0.6558 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0492 loss_cls: 0.1799 acc: 98.6328 loss_bbox: 0.2073 loss_mask: 0.1945 2024/01/14 06:59:29 - mmengine - INFO - Epoch(train) [8][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:33:04 time: 1.1979 data_time: 0.0576 memory: 14951 loss: 0.5818 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0328 loss_cls: 0.1347 acc: 99.6094 loss_bbox: 0.2047 loss_mask: 0.1989 2024/01/14 07:00:28 - mmengine - INFO - Epoch(train) [8][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:32:04 time: 1.1904 data_time: 0.0519 memory: 13952 loss: 0.6442 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0355 loss_cls: 0.1581 acc: 83.3984 loss_bbox: 0.2233 loss_mask: 0.2122 2024/01/14 07:01:28 - mmengine - INFO - Epoch(train) [8][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:31:04 time: 1.1987 data_time: 0.0610 memory: 14472 loss: 0.5827 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0322 loss_cls: 0.1493 acc: 94.5312 loss_bbox: 0.1930 loss_mask: 0.1912 2024/01/14 07:02:28 - mmengine - INFO - Epoch(train) [8][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:30:04 time: 1.1879 data_time: 0.0496 memory: 14925 loss: 0.4762 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0257 loss_cls: 0.1109 acc: 96.6797 loss_bbox: 0.1618 loss_mask: 0.1670 2024/01/14 07:03:27 - mmengine - INFO - Epoch(train) [8][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:29:04 time: 1.1929 data_time: 0.0522 memory: 14657 loss: 0.6635 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0416 loss_cls: 0.1934 acc: 95.1172 loss_bbox: 0.2136 loss_mask: 0.1931 2024/01/14 07:04:27 - mmengine - INFO - Epoch(train) [8][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:28:04 time: 1.1932 data_time: 0.0478 memory: 14134 loss: 0.6284 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0385 loss_cls: 0.1490 acc: 85.5469 loss_bbox: 0.2197 loss_mask: 0.2050 2024/01/14 07:05:27 - mmengine - INFO - Epoch(train) [8][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:27:04 time: 1.1983 data_time: 0.0537 memory: 14478 loss: 0.6494 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0406 loss_cls: 0.1613 acc: 97.6562 loss_bbox: 0.2347 loss_mask: 0.1994 2024/01/14 07:06:27 - mmengine - INFO - Epoch(train) [8][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:26:05 time: 1.2133 data_time: 0.0575 memory: 14469 loss: 0.6230 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0363 loss_cls: 0.1543 acc: 97.2656 loss_bbox: 0.2063 loss_mask: 0.2059 2024/01/14 07:07:26 - mmengine - INFO - Epoch(train) [8][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:25:04 time: 1.1718 data_time: 0.0619 memory: 14872 loss: 0.6646 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0392 loss_cls: 0.1734 acc: 83.3984 loss_bbox: 0.2272 loss_mask: 0.2039 2024/01/14 07:08:26 - mmengine - INFO - Epoch(train) [8][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:24:04 time: 1.1888 data_time: 0.0568 memory: 14653 loss: 0.5850 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0367 loss_cls: 0.1471 acc: 98.8281 loss_bbox: 0.2063 loss_mask: 0.1845 2024/01/14 07:09:25 - mmengine - INFO - Epoch(train) [8][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:23:04 time: 1.1956 data_time: 0.0476 memory: 14139 loss: 0.5768 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0368 loss_cls: 0.1387 acc: 85.7422 loss_bbox: 0.1895 loss_mask: 0.1981 2024/01/14 07:10:24 - mmengine - INFO - Epoch(train) [8][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:22:04 time: 1.1796 data_time: 0.0493 memory: 14328 loss: 0.5587 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0340 loss_cls: 0.1372 acc: 99.4141 loss_bbox: 0.1870 loss_mask: 0.1875 2024/01/14 07:11:24 - mmengine - INFO - Epoch(train) [8][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:21:04 time: 1.1894 data_time: 0.0523 memory: 13771 loss: 0.5673 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0343 loss_cls: 0.1347 acc: 83.7891 loss_bbox: 0.1904 loss_mask: 0.1950 2024/01/14 07:12:24 - mmengine - INFO - Epoch(train) [8][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:20:04 time: 1.1952 data_time: 0.0545 memory: 14283 loss: 0.5700 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0318 loss_cls: 0.1494 acc: 86.7188 loss_bbox: 0.1921 loss_mask: 0.1813 2024/01/14 07:13:24 - mmengine - INFO - Epoch(train) [8][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:19:05 time: 1.1990 data_time: 0.0550 memory: 14658 loss: 0.5283 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0330 loss_cls: 0.1427 acc: 83.0078 loss_bbox: 0.1686 loss_mask: 0.1702 2024/01/14 07:14:23 - mmengine - INFO - Epoch(train) [8][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:18:05 time: 1.1896 data_time: 0.0594 memory: 14149 loss: 0.6448 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0435 loss_cls: 0.1741 acc: 84.5703 loss_bbox: 0.2043 loss_mask: 0.2053 2024/01/14 07:15:11 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 07:15:23 - mmengine - INFO - Epoch(train) [8][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:17:05 time: 1.1927 data_time: 0.0589 memory: 14423 loss: 0.6114 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0388 loss_cls: 0.1642 acc: 92.1875 loss_bbox: 0.1970 loss_mask: 0.1922 2024/01/14 07:16:22 - mmengine - INFO - Epoch(train) [8][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:16:05 time: 1.1845 data_time: 0.0535 memory: 14954 loss: 0.6615 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0370 loss_cls: 0.1725 acc: 93.7500 loss_bbox: 0.2229 loss_mask: 0.2165 2024/01/14 07:17:22 - mmengine - INFO - Epoch(train) [8][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:15:05 time: 1.1959 data_time: 0.0577 memory: 14423 loss: 0.6638 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0428 loss_cls: 0.1681 acc: 95.5078 loss_bbox: 0.2291 loss_mask: 0.2089 2024/01/14 07:18:21 - mmengine - INFO - Epoch(train) [8][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:14:05 time: 1.1861 data_time: 0.0571 memory: 14954 loss: 0.6796 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0403 loss_cls: 0.1722 acc: 83.7891 loss_bbox: 0.2268 loss_mask: 0.2172 2024/01/14 07:19:20 - mmengine - INFO - Epoch(train) [8][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:13:04 time: 1.1810 data_time: 0.0686 memory: 14429 loss: 0.7622 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0478 loss_cls: 0.2011 acc: 84.3750 loss_bbox: 0.2705 loss_mask: 0.2221 2024/01/14 07:20:19 - mmengine - INFO - Epoch(train) [8][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:12:04 time: 1.1833 data_time: 0.0534 memory: 14750 loss: 0.5871 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0312 loss_cls: 0.1474 acc: 99.6094 loss_bbox: 0.1881 loss_mask: 0.2063 2024/01/14 07:21:19 - mmengine - INFO - Epoch(train) [8][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:11:05 time: 1.2007 data_time: 0.0514 memory: 14241 loss: 0.5361 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0276 loss_cls: 0.1341 acc: 96.6797 loss_bbox: 0.1809 loss_mask: 0.1864 2024/01/14 07:22:19 - mmengine - INFO - Epoch(train) [8][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:10:05 time: 1.1982 data_time: 0.0601 memory: 14623 loss: 0.6559 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0387 loss_cls: 0.1731 acc: 99.4141 loss_bbox: 0.2247 loss_mask: 0.2029 2024/01/14 07:23:20 - mmengine - INFO - Epoch(train) [8][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:09:05 time: 1.2085 data_time: 0.0498 memory: 14631 loss: 0.6337 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0413 loss_cls: 0.1583 acc: 92.5781 loss_bbox: 0.2230 loss_mask: 0.1952 2024/01/14 07:24:20 - mmengine - INFO - Epoch(train) [8][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:08:06 time: 1.2020 data_time: 0.0613 memory: 14066 loss: 0.6604 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0421 loss_cls: 0.1723 acc: 99.4141 loss_bbox: 0.2302 loss_mask: 0.2006 2024/01/14 07:25:20 - mmengine - INFO - Epoch(train) [8][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:07:06 time: 1.2104 data_time: 0.0515 memory: 14063 loss: 0.5390 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0271 loss_cls: 0.1407 acc: 97.4609 loss_bbox: 0.1751 loss_mask: 0.1870 2024/01/14 07:26:20 - mmengine - INFO - Epoch(train) [8][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:06:06 time: 1.1960 data_time: 0.0452 memory: 14618 loss: 0.5722 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0285 loss_cls: 0.1485 acc: 93.7500 loss_bbox: 0.1946 loss_mask: 0.1885 2024/01/14 07:27:20 - mmengine - INFO - Epoch(train) [8][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:05:07 time: 1.2076 data_time: 0.0685 memory: 14469 loss: 0.6744 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0355 loss_cls: 0.1717 acc: 97.2656 loss_bbox: 0.2360 loss_mask: 0.2120 2024/01/14 07:28:19 - mmengine - INFO - Epoch(train) [8][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:04:07 time: 1.1792 data_time: 0.0447 memory: 14387 loss: 0.5973 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0263 loss_cls: 0.1451 acc: 90.8203 loss_bbox: 0.2080 loss_mask: 0.2085 2024/01/14 07:29:19 - mmengine - INFO - Epoch(train) [8][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:03:07 time: 1.1885 data_time: 0.0526 memory: 14328 loss: 0.5948 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0366 loss_cls: 0.1566 acc: 99.0234 loss_bbox: 0.2017 loss_mask: 0.1893 2024/01/14 07:30:19 - mmengine - INFO - Epoch(train) [8][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:02:07 time: 1.1979 data_time: 0.0524 memory: 14134 loss: 0.5680 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0290 loss_cls: 0.1363 acc: 90.8203 loss_bbox: 0.1938 loss_mask: 0.1989 2024/01/14 07:31:19 - mmengine - INFO - Epoch(train) [8][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:01:07 time: 1.2133 data_time: 0.0663 memory: 14954 loss: 0.5763 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0349 loss_cls: 0.1467 acc: 93.1641 loss_bbox: 0.1985 loss_mask: 0.1832 2024/01/14 07:32:19 - mmengine - INFO - Epoch(train) [8][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 10:00:08 time: 1.1959 data_time: 0.0515 memory: 14125 loss: 0.6102 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0336 loss_cls: 0.1506 acc: 99.8047 loss_bbox: 0.2081 loss_mask: 0.2024 2024/01/14 07:33:18 - mmengine - INFO - Epoch(train) [8][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:59:07 time: 1.1847 data_time: 0.0590 memory: 14954 loss: 0.6669 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0421 loss_cls: 0.1707 acc: 99.2188 loss_bbox: 0.2294 loss_mask: 0.2048 2024/01/14 07:34:18 - mmengine - INFO - Epoch(train) [8][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:58:08 time: 1.1980 data_time: 0.0529 memory: 14424 loss: 0.5232 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0277 loss_cls: 0.1269 acc: 95.7031 loss_bbox: 0.1756 loss_mask: 0.1860 2024/01/14 07:35:06 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 07:35:18 - mmengine - INFO - Epoch(train) [8][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:57:08 time: 1.1913 data_time: 0.0625 memory: 14495 loss: 0.5918 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0322 loss_cls: 0.1519 acc: 99.8047 loss_bbox: 0.1990 loss_mask: 0.1982 2024/01/14 07:36:18 - mmengine - INFO - Epoch(train) [8][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:56:08 time: 1.1992 data_time: 0.0595 memory: 14954 loss: 0.5936 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0317 loss_cls: 0.1518 acc: 85.5469 loss_bbox: 0.2017 loss_mask: 0.1956 2024/01/14 07:37:18 - mmengine - INFO - Epoch(train) [8][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:55:09 time: 1.2102 data_time: 0.0465 memory: 14380 loss: 0.5822 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0261 loss_cls: 0.1483 acc: 95.1172 loss_bbox: 0.2019 loss_mask: 0.1933 2024/01/14 07:38:19 - mmengine - INFO - Epoch(train) [8][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:54:09 time: 1.2110 data_time: 0.0623 memory: 14545 loss: 0.6878 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0410 loss_cls: 0.1829 acc: 99.2188 loss_bbox: 0.2416 loss_mask: 0.2071 2024/01/14 07:39:19 - mmengine - INFO - Epoch(train) [8][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:53:09 time: 1.2002 data_time: 0.0555 memory: 14190 loss: 0.6649 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0386 loss_cls: 0.1707 acc: 98.4375 loss_bbox: 0.2248 loss_mask: 0.2171 2024/01/14 07:40:18 - mmengine - INFO - Epoch(train) [8][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:52:09 time: 1.1841 data_time: 0.0603 memory: 14722 loss: 0.6326 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0445 loss_cls: 0.1560 acc: 93.9453 loss_bbox: 0.2210 loss_mask: 0.2013 2024/01/14 07:41:19 - mmengine - INFO - Epoch(train) [8][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:51:10 time: 1.2137 data_time: 0.0393 memory: 14472 loss: 0.5867 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0300 loss_cls: 0.1709 acc: 97.0703 loss_bbox: 0.1919 loss_mask: 0.1791 2024/01/14 07:42:19 - mmengine - INFO - Epoch(train) [8][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:50:10 time: 1.2072 data_time: 0.0605 memory: 14423 loss: 0.6046 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0374 loss_cls: 0.1524 acc: 96.6797 loss_bbox: 0.1987 loss_mask: 0.1984 2024/01/14 07:43:19 - mmengine - INFO - Epoch(train) [8][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:49:10 time: 1.1903 data_time: 0.0505 memory: 14611 loss: 0.5567 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0326 loss_cls: 0.1502 acc: 96.4844 loss_bbox: 0.1815 loss_mask: 0.1764 2024/01/14 07:44:18 - mmengine - INFO - Epoch(train) [8][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:48:10 time: 1.1886 data_time: 0.0531 memory: 14503 loss: 0.5580 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0262 loss_cls: 0.1444 acc: 98.0469 loss_bbox: 0.1967 loss_mask: 0.1812 2024/01/14 07:45:17 - mmengine - INFO - Epoch(train) [8][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:47:10 time: 1.1794 data_time: 0.0581 memory: 14472 loss: 0.6083 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0410 loss_cls: 0.1566 acc: 94.9219 loss_bbox: 0.2124 loss_mask: 0.1848 2024/01/14 07:46:18 - mmengine - INFO - Epoch(train) [8][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:46:11 time: 1.2087 data_time: 0.0561 memory: 14472 loss: 0.6641 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0390 loss_cls: 0.1680 acc: 99.4141 loss_bbox: 0.2317 loss_mask: 0.2133 2024/01/14 07:47:18 - mmengine - INFO - Epoch(train) [8][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 9:45:11 time: 1.2087 data_time: 0.0572 memory: 14954 loss: 0.7072 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0477 loss_cls: 0.1749 acc: 86.5234 loss_bbox: 0.2465 loss_mask: 0.2159 2024/01/14 07:47:55 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 07:47:55 - mmengine - INFO - Saving checkpoint at 8 epochs 2024/01/14 07:48:13 - mmengine - INFO - Epoch(val) [8][ 50/313] eta: 0:01:03 time: 0.2399 data_time: 0.0344 memory: 14292 2024/01/14 07:48:24 - mmengine - INFO - Epoch(val) [8][100/313] eta: 0:00:49 time: 0.2281 data_time: 0.0224 memory: 3311 2024/01/14 07:48:35 - mmengine - INFO - Epoch(val) [8][150/313] eta: 0:00:37 time: 0.2252 data_time: 0.0239 memory: 3368 2024/01/14 07:48:47 - mmengine - INFO - Epoch(val) [8][200/313] eta: 0:00:26 time: 0.2297 data_time: 0.0238 memory: 3331 2024/01/14 07:48:57 - mmengine - INFO - Epoch(val) [8][250/313] eta: 0:00:14 time: 0.2140 data_time: 0.0145 memory: 3368 2024/01/14 07:49:09 - mmengine - INFO - Epoch(val) [8][300/313] eta: 0:00:02 time: 0.2278 data_time: 0.0238 memory: 3331 2024/01/14 07:49:18 - mmengine - INFO - Evaluating bbox... 2024/01/14 07:49:40 - mmengine - INFO - bbox_mAP_copypaste: 0.465 0.682 0.510 0.290 0.510 0.623 2024/01/14 07:49:40 - mmengine - INFO - Evaluating segm... 2024/01/14 07:50:06 - mmengine - INFO - segm_mAP_copypaste: 0.419 0.651 0.453 0.219 0.453 0.606 2024/01/14 07:50:07 - mmengine - INFO - Epoch(val) [8][313/313] coco/bbox_mAP: 0.4650 coco/bbox_mAP_50: 0.6820 coco/bbox_mAP_75: 0.5100 coco/bbox_mAP_s: 0.2900 coco/bbox_mAP_m: 0.5100 coco/bbox_mAP_l: 0.6230 coco/segm_mAP: 0.4190 coco/segm_mAP_50: 0.6510 coco/segm_mAP_75: 0.4530 coco/segm_mAP_s: 0.2190 coco/segm_mAP_m: 0.4530 coco/segm_mAP_l: 0.6060 data_time: 0.0229 time: 0.2263 2024/01/14 07:51:09 - mmengine - INFO - Epoch(train) [9][ 50/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:43:37 time: 1.2440 data_time: 0.0594 memory: 14954 loss: 0.5284 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0329 loss_cls: 0.1150 acc: 96.2891 loss_bbox: 0.1673 loss_mask: 0.2016 2024/01/14 07:52:09 - mmengine - INFO - Epoch(train) [9][ 100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:42:37 time: 1.1981 data_time: 0.0495 memory: 14044 loss: 0.5716 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0335 loss_cls: 0.1402 acc: 91.9922 loss_bbox: 0.1938 loss_mask: 0.1877 2024/01/14 07:53:08 - mmengine - INFO - Epoch(train) [9][ 150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:41:37 time: 1.1915 data_time: 0.0464 memory: 14307 loss: 0.5137 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0266 loss_cls: 0.1228 acc: 87.6953 loss_bbox: 0.1689 loss_mask: 0.1878 2024/01/14 07:54:08 - mmengine - INFO - Epoch(train) [9][ 200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:40:37 time: 1.1917 data_time: 0.0450 memory: 13771 loss: 0.5118 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0281 loss_cls: 0.1137 acc: 98.2422 loss_bbox: 0.1770 loss_mask: 0.1845 2024/01/14 07:55:09 - mmengine - INFO - Epoch(train) [9][ 250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:39:38 time: 1.2158 data_time: 0.0493 memory: 14469 loss: 0.4977 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0238 loss_cls: 0.1196 acc: 98.8281 loss_bbox: 0.1686 loss_mask: 0.1787 2024/01/14 07:56:09 - mmengine - INFO - Epoch(train) [9][ 300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:38:39 time: 1.2097 data_time: 0.0544 memory: 14472 loss: 0.5761 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0319 loss_cls: 0.1428 acc: 89.6484 loss_bbox: 0.1944 loss_mask: 0.1961 2024/01/14 07:57:10 - mmengine - INFO - Epoch(train) [9][ 350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:37:39 time: 1.2063 data_time: 0.0520 memory: 14324 loss: 0.5051 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0335 loss_cls: 0.1102 acc: 98.4375 loss_bbox: 0.1781 loss_mask: 0.1742 2024/01/14 07:57:22 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 07:58:10 - mmengine - INFO - Epoch(train) [9][ 400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:36:40 time: 1.2192 data_time: 0.0471 memory: 14954 loss: 0.5458 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0309 loss_cls: 0.1240 acc: 98.0469 loss_bbox: 0.1775 loss_mask: 0.2038 2024/01/14 07:59:10 - mmengine - INFO - Epoch(train) [9][ 450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:35:40 time: 1.1983 data_time: 0.0553 memory: 14658 loss: 0.6439 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0348 loss_cls: 0.1614 acc: 94.9219 loss_bbox: 0.2128 loss_mask: 0.2219 2024/01/14 08:00:10 - mmengine - INFO - Epoch(train) [9][ 500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:34:40 time: 1.1991 data_time: 0.0513 memory: 14564 loss: 0.5157 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0252 loss_cls: 0.1165 acc: 99.2188 loss_bbox: 0.1825 loss_mask: 0.1864 2024/01/14 08:01:10 - mmengine - INFO - Epoch(train) [9][ 550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:33:40 time: 1.1959 data_time: 0.0517 memory: 13771 loss: 0.5610 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0376 loss_cls: 0.1239 acc: 90.8203 loss_bbox: 0.1922 loss_mask: 0.1941 2024/01/14 08:02:10 - mmengine - INFO - Epoch(train) [9][ 600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:32:41 time: 1.1958 data_time: 0.0629 memory: 14469 loss: 0.5546 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0362 loss_cls: 0.1370 acc: 99.4141 loss_bbox: 0.1921 loss_mask: 0.1780 2024/01/14 08:03:10 - mmengine - INFO - Epoch(train) [9][ 650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:31:41 time: 1.2030 data_time: 0.0590 memory: 14954 loss: 0.5741 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0289 loss_cls: 0.1473 acc: 96.2891 loss_bbox: 0.1937 loss_mask: 0.1873 2024/01/14 08:04:10 - mmengine - INFO - Epoch(train) [9][ 700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:30:41 time: 1.1941 data_time: 0.0592 memory: 14658 loss: 0.5458 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0218 loss_cls: 0.1332 acc: 96.6797 loss_bbox: 0.1835 loss_mask: 0.1987 2024/01/14 08:05:10 - mmengine - INFO - Epoch(train) [9][ 750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:29:42 time: 1.2114 data_time: 0.0609 memory: 14134 loss: 0.5987 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0367 loss_cls: 0.1514 acc: 99.6094 loss_bbox: 0.2018 loss_mask: 0.1944 2024/01/14 08:06:10 - mmengine - INFO - Epoch(train) [9][ 800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:28:42 time: 1.1915 data_time: 0.0603 memory: 14423 loss: 0.6073 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0386 loss_cls: 0.1440 acc: 95.1172 loss_bbox: 0.2100 loss_mask: 0.1872 2024/01/14 08:07:09 - mmengine - INFO - Epoch(train) [9][ 850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:27:42 time: 1.1899 data_time: 0.0524 memory: 14134 loss: 0.4682 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0295 loss_cls: 0.1137 acc: 97.6562 loss_bbox: 0.1517 loss_mask: 0.1643 2024/01/14 08:08:10 - mmengine - INFO - Epoch(train) [9][ 900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:26:42 time: 1.2031 data_time: 0.0546 memory: 14954 loss: 0.5745 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0392 loss_cls: 0.1361 acc: 98.8281 loss_bbox: 0.1962 loss_mask: 0.1906 2024/01/14 08:09:10 - mmengine - INFO - Epoch(train) [9][ 950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:25:42 time: 1.2009 data_time: 0.0613 memory: 14472 loss: 0.5255 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0299 loss_cls: 0.1248 acc: 97.4609 loss_bbox: 0.1805 loss_mask: 0.1766 2024/01/14 08:10:09 - mmengine - INFO - Epoch(train) [9][1000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:24:42 time: 1.1870 data_time: 0.0458 memory: 14472 loss: 0.4941 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0257 loss_cls: 0.1204 acc: 91.9922 loss_bbox: 0.1628 loss_mask: 0.1791 2024/01/14 08:11:10 - mmengine - INFO - Epoch(train) [9][1050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:23:43 time: 1.2117 data_time: 0.0578 memory: 14469 loss: 0.6158 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0399 loss_cls: 0.1556 acc: 92.3828 loss_bbox: 0.2154 loss_mask: 0.1900 2024/01/14 08:12:09 - mmengine - INFO - Epoch(train) [9][1100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:22:43 time: 1.1900 data_time: 0.0541 memory: 14472 loss: 0.5493 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0363 loss_cls: 0.1340 acc: 99.2188 loss_bbox: 0.1886 loss_mask: 0.1803 2024/01/14 08:13:09 - mmengine - INFO - Epoch(train) [9][1150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:21:43 time: 1.2059 data_time: 0.0533 memory: 14446 loss: 0.5598 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0255 loss_cls: 0.1346 acc: 98.2422 loss_bbox: 0.1943 loss_mask: 0.1956 2024/01/14 08:14:08 - mmengine - INFO - Epoch(train) [9][1200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:20:43 time: 1.1706 data_time: 0.0637 memory: 13771 loss: 0.5647 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0368 loss_cls: 0.1394 acc: 96.2891 loss_bbox: 0.2020 loss_mask: 0.1726 2024/01/14 08:15:09 - mmengine - INFO - Epoch(train) [9][1250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:19:43 time: 1.2131 data_time: 0.0598 memory: 13771 loss: 0.6034 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0399 loss_cls: 0.1421 acc: 85.5469 loss_bbox: 0.2083 loss_mask: 0.1996 2024/01/14 08:16:08 - mmengine - INFO - Epoch(train) [9][1300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:18:43 time: 1.1933 data_time: 0.0540 memory: 14951 loss: 0.5298 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0331 loss_cls: 0.1248 acc: 98.6328 loss_bbox: 0.1842 loss_mask: 0.1759 2024/01/14 08:17:08 - mmengine - INFO - Epoch(train) [9][1350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:17:43 time: 1.1854 data_time: 0.0571 memory: 14472 loss: 0.6170 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0353 loss_cls: 0.1493 acc: 85.9375 loss_bbox: 0.2150 loss_mask: 0.2059 2024/01/14 08:17:20 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 08:18:08 - mmengine - INFO - Epoch(train) [9][1400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:16:44 time: 1.2045 data_time: 0.0526 memory: 14197 loss: 0.5265 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0287 loss_cls: 0.1266 acc: 97.4609 loss_bbox: 0.1759 loss_mask: 0.1863 2024/01/14 08:19:07 - mmengine - INFO - Epoch(train) [9][1450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:15:44 time: 1.1845 data_time: 0.0457 memory: 14530 loss: 0.4905 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0254 loss_cls: 0.1110 acc: 96.4844 loss_bbox: 0.1702 loss_mask: 0.1760 2024/01/14 08:20:07 - mmengine - INFO - Epoch(train) [9][1500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:14:44 time: 1.1925 data_time: 0.0534 memory: 14472 loss: 0.5819 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0303 loss_cls: 0.1517 acc: 96.6797 loss_bbox: 0.1958 loss_mask: 0.1924 2024/01/14 08:21:07 - mmengine - INFO - Epoch(train) [9][1550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:13:44 time: 1.1996 data_time: 0.0531 memory: 14472 loss: 0.6023 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0334 loss_cls: 0.1591 acc: 86.1328 loss_bbox: 0.1965 loss_mask: 0.1971 2024/01/14 08:22:06 - mmengine - INFO - Epoch(train) [9][1600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:12:44 time: 1.1863 data_time: 0.0570 memory: 14472 loss: 0.5464 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0336 loss_cls: 0.1280 acc: 89.4531 loss_bbox: 0.1829 loss_mask: 0.1922 2024/01/14 08:23:06 - mmengine - INFO - Epoch(train) [9][1650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:11:44 time: 1.2061 data_time: 0.0541 memory: 14954 loss: 0.4639 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0240 loss_cls: 0.0989 acc: 96.8750 loss_bbox: 0.1634 loss_mask: 0.1695 2024/01/14 08:24:06 - mmengine - INFO - Epoch(train) [9][1700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:10:45 time: 1.1989 data_time: 0.0552 memory: 13952 loss: 0.5171 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0294 loss_cls: 0.1313 acc: 93.7500 loss_bbox: 0.1733 loss_mask: 0.1714 2024/01/14 08:25:06 - mmengine - INFO - Epoch(train) [9][1750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:09:45 time: 1.1877 data_time: 0.0562 memory: 13952 loss: 0.4810 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0275 loss_cls: 0.1103 acc: 94.7266 loss_bbox: 0.1669 loss_mask: 0.1683 2024/01/14 08:26:06 - mmengine - INFO - Epoch(train) [9][1800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:08:45 time: 1.1993 data_time: 0.0558 memory: 14954 loss: 0.6124 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0407 loss_cls: 0.1490 acc: 88.0859 loss_bbox: 0.2070 loss_mask: 0.2032 2024/01/14 08:27:05 - mmengine - INFO - Epoch(train) [9][1850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:07:45 time: 1.1939 data_time: 0.0481 memory: 14472 loss: 0.4663 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0224 loss_cls: 0.1192 acc: 97.0703 loss_bbox: 0.1585 loss_mask: 0.1580 2024/01/14 08:28:05 - mmengine - INFO - Epoch(train) [9][1900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:06:45 time: 1.1938 data_time: 0.0563 memory: 14886 loss: 0.6297 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0370 loss_cls: 0.1545 acc: 96.8750 loss_bbox: 0.2178 loss_mask: 0.2065 2024/01/14 08:29:05 - mmengine - INFO - Epoch(train) [9][1950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:05:45 time: 1.1965 data_time: 0.0524 memory: 14469 loss: 0.5080 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0257 loss_cls: 0.1231 acc: 97.0703 loss_bbox: 0.1699 loss_mask: 0.1814 2024/01/14 08:30:05 - mmengine - INFO - Epoch(train) [9][2000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:04:45 time: 1.1931 data_time: 0.0643 memory: 14954 loss: 0.5091 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0285 loss_cls: 0.1203 acc: 99.2188 loss_bbox: 0.1787 loss_mask: 0.1726 2024/01/14 08:31:05 - mmengine - INFO - Epoch(train) [9][2050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:03:46 time: 1.2028 data_time: 0.0561 memory: 14472 loss: 0.5053 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0324 loss_cls: 0.1132 acc: 98.2422 loss_bbox: 0.1719 loss_mask: 0.1775 2024/01/14 08:32:05 - mmengine - INFO - Epoch(train) [9][2100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:02:46 time: 1.2100 data_time: 0.0623 memory: 14885 loss: 0.5885 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0350 loss_cls: 0.1391 acc: 97.6562 loss_bbox: 0.2003 loss_mask: 0.2035 2024/01/14 08:33:05 - mmengine - INFO - Epoch(train) [9][2150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:01:46 time: 1.1993 data_time: 0.0504 memory: 13988 loss: 0.5492 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0332 loss_cls: 0.1208 acc: 97.2656 loss_bbox: 0.1915 loss_mask: 0.1918 2024/01/14 08:34:05 - mmengine - INFO - Epoch(train) [9][2200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:00:46 time: 1.1902 data_time: 0.0626 memory: 14177 loss: 0.4990 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0280 loss_cls: 0.1147 acc: 86.5234 loss_bbox: 0.1692 loss_mask: 0.1762 2024/01/14 08:35:05 - mmengine - INFO - Epoch(train) [9][2250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:59:47 time: 1.1971 data_time: 0.0511 memory: 14328 loss: 0.5084 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0286 loss_cls: 0.1180 acc: 99.8047 loss_bbox: 0.1768 loss_mask: 0.1761 2024/01/14 08:36:05 - mmengine - INFO - Epoch(train) [9][2300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:58:47 time: 1.2051 data_time: 0.0448 memory: 14401 loss: 0.4666 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0280 loss_cls: 0.1076 acc: 97.0703 loss_bbox: 0.1596 loss_mask: 0.1638 2024/01/14 08:37:04 - mmengine - INFO - Epoch(train) [9][2350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:57:47 time: 1.1853 data_time: 0.0559 memory: 14654 loss: 0.5511 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0389 loss_cls: 0.1420 acc: 92.9688 loss_bbox: 0.1897 loss_mask: 0.1730 2024/01/14 08:37:16 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 08:38:03 - mmengine - INFO - Epoch(train) [9][2400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:56:47 time: 1.1830 data_time: 0.0616 memory: 14325 loss: 0.5399 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0343 loss_cls: 0.1456 acc: 99.8047 loss_bbox: 0.1793 loss_mask: 0.1671 2024/01/14 08:39:03 - mmengine - INFO - Epoch(train) [9][2450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:55:47 time: 1.1934 data_time: 0.0492 memory: 14645 loss: 0.5523 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0344 loss_cls: 0.1267 acc: 95.1172 loss_bbox: 0.1926 loss_mask: 0.1878 2024/01/14 08:40:04 - mmengine - INFO - Epoch(train) [9][2500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:54:47 time: 1.2145 data_time: 0.0572 memory: 13952 loss: 0.5789 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0319 loss_cls: 0.1407 acc: 97.2656 loss_bbox: 0.2065 loss_mask: 0.1885 2024/01/14 08:41:03 - mmengine - INFO - Epoch(train) [9][2550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:53:47 time: 1.1784 data_time: 0.0610 memory: 14424 loss: 0.5472 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0339 loss_cls: 0.1255 acc: 95.7031 loss_bbox: 0.1893 loss_mask: 0.1888 2024/01/14 08:42:02 - mmengine - INFO - Epoch(train) [9][2600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:52:47 time: 1.1877 data_time: 0.0467 memory: 14954 loss: 0.4288 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0202 loss_cls: 0.0989 acc: 87.1094 loss_bbox: 0.1363 loss_mask: 0.1669 2024/01/14 08:43:02 - mmengine - INFO - Epoch(train) [9][2650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:51:47 time: 1.1950 data_time: 0.0531 memory: 14954 loss: 0.5306 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0296 loss_cls: 0.1188 acc: 95.5078 loss_bbox: 0.1890 loss_mask: 0.1875 2024/01/14 08:44:01 - mmengine - INFO - Epoch(train) [9][2700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:50:47 time: 1.1819 data_time: 0.0582 memory: 14472 loss: 0.6038 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0368 loss_cls: 0.1465 acc: 99.6094 loss_bbox: 0.2038 loss_mask: 0.2015 2024/01/14 08:45:00 - mmengine - INFO - Epoch(train) [9][2750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:49:47 time: 1.1786 data_time: 0.0447 memory: 14953 loss: 0.4514 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0248 loss_cls: 0.1056 acc: 99.2188 loss_bbox: 0.1499 loss_mask: 0.1599 2024/01/14 08:45:59 - mmengine - INFO - Epoch(train) [9][2800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:48:47 time: 1.1921 data_time: 0.0540 memory: 14424 loss: 0.5402 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0313 loss_cls: 0.1253 acc: 90.8203 loss_bbox: 0.1817 loss_mask: 0.1907 2024/01/14 08:46:59 - mmengine - INFO - Epoch(train) [9][2850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:47:47 time: 1.1890 data_time: 0.0604 memory: 14954 loss: 0.5616 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0411 loss_cls: 0.1446 acc: 98.0469 loss_bbox: 0.1782 loss_mask: 0.1834 2024/01/14 08:47:59 - mmengine - INFO - Epoch(train) [9][2900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:46:48 time: 1.2071 data_time: 0.0579 memory: 14472 loss: 0.5497 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0384 loss_cls: 0.1326 acc: 98.0469 loss_bbox: 0.1798 loss_mask: 0.1871 2024/01/14 08:48:59 - mmengine - INFO - Epoch(train) [9][2950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:45:48 time: 1.1887 data_time: 0.0555 memory: 14472 loss: 0.5437 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0312 loss_cls: 0.1293 acc: 83.5938 loss_bbox: 0.1880 loss_mask: 0.1859 2024/01/14 08:49:58 - mmengine - INFO - Epoch(train) [9][3000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:44:48 time: 1.1918 data_time: 0.0586 memory: 14061 loss: 0.5789 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0389 loss_cls: 0.1455 acc: 92.5781 loss_bbox: 0.1982 loss_mask: 0.1812 2024/01/14 08:50:58 - mmengine - INFO - Epoch(train) [9][3050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:43:48 time: 1.1996 data_time: 0.0612 memory: 14424 loss: 0.5661 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0393 loss_cls: 0.1398 acc: 91.4062 loss_bbox: 0.1821 loss_mask: 0.1878 2024/01/14 08:51:58 - mmengine - INFO - Epoch(train) [9][3100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:42:48 time: 1.2029 data_time: 0.0628 memory: 14521 loss: 0.5054 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0305 loss_cls: 0.1218 acc: 94.7266 loss_bbox: 0.1664 loss_mask: 0.1740 2024/01/14 08:52:58 - mmengine - INFO - Epoch(train) [9][3150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:41:48 time: 1.1963 data_time: 0.0556 memory: 14786 loss: 0.5881 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0351 loss_cls: 0.1406 acc: 98.2422 loss_bbox: 0.2039 loss_mask: 0.1941 2024/01/14 08:53:59 - mmengine - INFO - Epoch(train) [9][3200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:40:49 time: 1.2189 data_time: 0.0657 memory: 14953 loss: 0.6070 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0346 loss_cls: 0.1527 acc: 89.4531 loss_bbox: 0.2088 loss_mask: 0.1969 2024/01/14 08:54:59 - mmengine - INFO - Epoch(train) [9][3250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:39:49 time: 1.1944 data_time: 0.0585 memory: 14472 loss: 0.5042 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0244 loss_cls: 0.1198 acc: 98.8281 loss_bbox: 0.1699 loss_mask: 0.1840 2024/01/14 08:55:59 - mmengine - INFO - Epoch(train) [9][3300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:38:50 time: 1.1997 data_time: 0.0637 memory: 14954 loss: 0.5969 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0348 loss_cls: 0.1508 acc: 96.6797 loss_bbox: 0.2026 loss_mask: 0.1927 2024/01/14 08:56:58 - mmengine - INFO - Epoch(train) [9][3350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:37:50 time: 1.1887 data_time: 0.0608 memory: 14472 loss: 0.5602 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0365 loss_cls: 0.1312 acc: 99.4141 loss_bbox: 0.1968 loss_mask: 0.1861 2024/01/14 08:57:10 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 08:57:58 - mmengine - INFO - Epoch(train) [9][3400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:36:50 time: 1.1865 data_time: 0.0587 memory: 14885 loss: 0.5940 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0333 loss_cls: 0.1458 acc: 91.4062 loss_bbox: 0.2013 loss_mask: 0.2031 2024/01/14 08:58:58 - mmengine - INFO - Epoch(train) [9][3450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:35:50 time: 1.2105 data_time: 0.0565 memory: 14658 loss: 0.5423 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0315 loss_cls: 0.1330 acc: 87.1094 loss_bbox: 0.1830 loss_mask: 0.1845 2024/01/14 08:59:57 - mmengine - INFO - Epoch(train) [9][3500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:34:50 time: 1.1820 data_time: 0.0618 memory: 13952 loss: 0.5813 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0360 loss_cls: 0.1389 acc: 99.0234 loss_bbox: 0.2071 loss_mask: 0.1875 2024/01/14 09:00:57 - mmengine - INFO - Epoch(train) [9][3550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:33:50 time: 1.1991 data_time: 0.0525 memory: 14653 loss: 0.5241 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0262 loss_cls: 0.1245 acc: 96.8750 loss_bbox: 0.1856 loss_mask: 0.1787 2024/01/14 09:01:57 - mmengine - INFO - Epoch(train) [9][3600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:32:50 time: 1.1839 data_time: 0.0498 memory: 14469 loss: 0.5985 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0389 loss_cls: 0.1387 acc: 94.5312 loss_bbox: 0.2127 loss_mask: 0.1946 2024/01/14 09:02:57 - mmengine - INFO - Epoch(train) [9][3650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:31:50 time: 1.2087 data_time: 0.0412 memory: 13880 loss: 0.4636 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0277 loss_cls: 0.0984 acc: 99.6094 loss_bbox: 0.1513 loss_mask: 0.1778 2024/01/14 09:03:58 - mmengine - INFO - Epoch(train) [9][3700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:30:51 time: 1.2154 data_time: 0.0588 memory: 14121 loss: 0.5857 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0335 loss_cls: 0.1399 acc: 99.0234 loss_bbox: 0.2047 loss_mask: 0.1936 2024/01/14 09:04:58 - mmengine - INFO - Epoch(train) [9][3750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:29:52 time: 1.2108 data_time: 0.0517 memory: 13952 loss: 0.4591 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0246 loss_cls: 0.1137 acc: 98.0469 loss_bbox: 0.1502 loss_mask: 0.1610 2024/01/14 09:05:59 - mmengine - INFO - Epoch(train) [9][3800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:28:52 time: 1.2035 data_time: 0.0597 memory: 14469 loss: 0.5681 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0320 loss_cls: 0.1386 acc: 99.0234 loss_bbox: 0.2017 loss_mask: 0.1868 2024/01/14 09:06:59 - mmengine - INFO - Epoch(train) [9][3850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:27:52 time: 1.2058 data_time: 0.0571 memory: 14472 loss: 0.5214 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0267 loss_cls: 0.1319 acc: 95.8984 loss_bbox: 0.1802 loss_mask: 0.1751 2024/01/14 09:07:58 - mmengine - INFO - Epoch(train) [9][3900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:26:52 time: 1.1850 data_time: 0.0487 memory: 14654 loss: 0.4382 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0191 loss_cls: 0.1001 acc: 99.2188 loss_bbox: 0.1535 loss_mask: 0.1593 2024/01/14 09:08:59 - mmengine - INFO - Epoch(train) [9][3950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:25:53 time: 1.2093 data_time: 0.0456 memory: 14951 loss: 0.4748 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0254 loss_cls: 0.1229 acc: 99.8047 loss_bbox: 0.1576 loss_mask: 0.1613 2024/01/14 09:09:59 - mmengine - INFO - Epoch(train) [9][4000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:24:53 time: 1.1986 data_time: 0.0540 memory: 14328 loss: 0.4690 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0237 loss_cls: 0.1140 acc: 93.3594 loss_bbox: 0.1627 loss_mask: 0.1619 2024/01/14 09:10:58 - mmengine - INFO - Epoch(train) [9][4050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:23:53 time: 1.1889 data_time: 0.0553 memory: 14472 loss: 0.4640 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0236 loss_cls: 0.1032 acc: 99.6094 loss_bbox: 0.1618 loss_mask: 0.1683 2024/01/14 09:11:58 - mmengine - INFO - Epoch(train) [9][4100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:22:53 time: 1.1964 data_time: 0.0544 memory: 14423 loss: 0.5485 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0377 loss_cls: 0.1264 acc: 97.2656 loss_bbox: 0.1899 loss_mask: 0.1840 2024/01/14 09:12:57 - mmengine - INFO - Epoch(train) [9][4150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:21:53 time: 1.1767 data_time: 0.0510 memory: 14328 loss: 0.5722 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0376 loss_cls: 0.1464 acc: 82.8125 loss_bbox: 0.1977 loss_mask: 0.1787 2024/01/14 09:13:56 - mmengine - INFO - Epoch(train) [9][4200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:20:53 time: 1.1958 data_time: 0.0488 memory: 14954 loss: 0.4828 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0298 loss_cls: 0.0988 acc: 89.6484 loss_bbox: 0.1586 loss_mask: 0.1875 2024/01/14 09:14:57 - mmengine - INFO - Epoch(train) [9][4250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:19:53 time: 1.2134 data_time: 0.0601 memory: 13952 loss: 0.6188 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0416 loss_cls: 0.1599 acc: 96.4844 loss_bbox: 0.2127 loss_mask: 0.1895 2024/01/14 09:15:57 - mmengine - INFO - Epoch(train) [9][4300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:18:54 time: 1.2019 data_time: 0.0620 memory: 14472 loss: 0.5888 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0300 loss_cls: 0.1472 acc: 91.0156 loss_bbox: 0.2097 loss_mask: 0.1903 2024/01/14 09:16:56 - mmengine - INFO - Epoch(train) [9][4350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:17:54 time: 1.1840 data_time: 0.0564 memory: 14472 loss: 0.4950 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0280 loss_cls: 0.1236 acc: 94.5312 loss_bbox: 0.1649 loss_mask: 0.1643 2024/01/14 09:17:08 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 09:17:57 - mmengine - INFO - Epoch(train) [9][4400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:16:54 time: 1.2071 data_time: 0.0548 memory: 14612 loss: 0.4998 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0227 loss_cls: 0.1118 acc: 93.1641 loss_bbox: 0.1729 loss_mask: 0.1835 2024/01/14 09:18:57 - mmengine - INFO - Epoch(train) [9][4450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:15:54 time: 1.1956 data_time: 0.0638 memory: 14041 loss: 0.5589 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0316 loss_cls: 0.1261 acc: 96.6797 loss_bbox: 0.2029 loss_mask: 0.1893 2024/01/14 09:19:57 - mmengine - INFO - Epoch(train) [9][4500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:14:55 time: 1.2037 data_time: 0.0544 memory: 14472 loss: 0.5915 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0399 loss_cls: 0.1380 acc: 99.2188 loss_bbox: 0.2000 loss_mask: 0.2008 2024/01/14 09:20:57 - mmengine - INFO - Epoch(train) [9][4550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:13:55 time: 1.2070 data_time: 0.0571 memory: 14954 loss: 0.4826 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0345 loss_cls: 0.1081 acc: 99.0234 loss_bbox: 0.1608 loss_mask: 0.1656 2024/01/14 09:21:58 - mmengine - INFO - Epoch(train) [9][4600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:12:56 time: 1.2144 data_time: 0.0568 memory: 14134 loss: 0.4957 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0326 loss_cls: 0.1169 acc: 99.8047 loss_bbox: 0.1678 loss_mask: 0.1698 2024/01/14 09:22:59 - mmengine - INFO - Epoch(train) [9][4650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:11:56 time: 1.2135 data_time: 0.0445 memory: 14954 loss: 0.4657 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0302 loss_cls: 0.1077 acc: 97.2656 loss_bbox: 0.1492 loss_mask: 0.1674 2024/01/14 09:23:59 - mmengine - INFO - Epoch(train) [9][4700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:10:56 time: 1.2110 data_time: 0.0552 memory: 14472 loss: 0.4647 loss_rpn_cls: 0.0039 loss_rpn_bbox: 0.0276 loss_cls: 0.1095 acc: 98.4375 loss_bbox: 0.1584 loss_mask: 0.1654 2024/01/14 09:24:59 - mmengine - INFO - Epoch(train) [9][4750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:09:56 time: 1.1877 data_time: 0.0463 memory: 13771 loss: 0.5386 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0315 loss_cls: 0.1398 acc: 90.0391 loss_bbox: 0.1800 loss_mask: 0.1758 2024/01/14 09:25:58 - mmengine - INFO - Epoch(train) [9][4800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:08:56 time: 1.1832 data_time: 0.0597 memory: 14472 loss: 0.5116 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0311 loss_cls: 0.1220 acc: 100.0000 loss_bbox: 0.1713 loss_mask: 0.1789 2024/01/14 09:26:59 - mmengine - INFO - Epoch(train) [9][4850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:07:57 time: 1.2174 data_time: 0.0614 memory: 14654 loss: 0.5953 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0343 loss_cls: 0.1497 acc: 99.4141 loss_bbox: 0.2094 loss_mask: 0.1881 2024/01/14 09:27:59 - mmengine - INFO - Epoch(train) [9][4900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:06:57 time: 1.2023 data_time: 0.0581 memory: 14472 loss: 0.5691 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0388 loss_cls: 0.1338 acc: 99.6094 loss_bbox: 0.2011 loss_mask: 0.1821 2024/01/14 09:28:57 - mmengine - INFO - Epoch(train) [9][4950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:05:57 time: 1.1751 data_time: 0.0500 memory: 14423 loss: 0.4648 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0254 loss_cls: 0.1193 acc: 99.6094 loss_bbox: 0.1566 loss_mask: 0.1567 2024/01/14 09:29:58 - mmengine - INFO - Epoch(train) [9][5000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:04:57 time: 1.2079 data_time: 0.0561 memory: 14527 loss: 0.5448 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0294 loss_cls: 0.1205 acc: 98.0469 loss_bbox: 0.1847 loss_mask: 0.2002 2024/01/14 09:30:57 - mmengine - INFO - Epoch(train) [9][5050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:03:57 time: 1.1831 data_time: 0.0489 memory: 13952 loss: 0.4781 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0296 loss_cls: 0.1108 acc: 99.4141 loss_bbox: 0.1571 loss_mask: 0.1711 2024/01/14 09:31:58 - mmengine - INFO - Epoch(train) [9][5100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:02:58 time: 1.2119 data_time: 0.0491 memory: 14424 loss: 0.4780 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0267 loss_cls: 0.1087 acc: 90.0391 loss_bbox: 0.1584 loss_mask: 0.1761 2024/01/14 09:32:57 - mmengine - INFO - Epoch(train) [9][5150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:01:58 time: 1.1864 data_time: 0.0529 memory: 13771 loss: 0.5517 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0315 loss_cls: 0.1357 acc: 81.2500 loss_bbox: 0.1966 loss_mask: 0.1759 2024/01/14 09:33:57 - mmengine - INFO - Epoch(train) [9][5200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:00:58 time: 1.2012 data_time: 0.0537 memory: 14063 loss: 0.4777 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0263 loss_cls: 0.1043 acc: 96.0938 loss_bbox: 0.1651 loss_mask: 0.1744 2024/01/14 09:34:57 - mmengine - INFO - Epoch(train) [9][5250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:59:58 time: 1.1976 data_time: 0.0460 memory: 13771 loss: 0.3688 loss_rpn_cls: 0.0029 loss_rpn_bbox: 0.0129 loss_cls: 0.0736 acc: 98.0469 loss_bbox: 0.1196 loss_mask: 0.1597 2024/01/14 09:35:57 - mmengine - INFO - Epoch(train) [9][5300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:58:59 time: 1.2090 data_time: 0.0753 memory: 14954 loss: 0.5881 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0418 loss_cls: 0.1395 acc: 99.0234 loss_bbox: 0.2051 loss_mask: 0.1871 2024/01/14 09:36:57 - mmengine - INFO - Epoch(train) [9][5350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:57:59 time: 1.1932 data_time: 0.0538 memory: 14472 loss: 0.5166 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0316 loss_cls: 0.1256 acc: 97.0703 loss_bbox: 0.1735 loss_mask: 0.1769 2024/01/14 09:37:09 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 09:37:56 - mmengine - INFO - Epoch(train) [9][5400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:56:59 time: 1.1719 data_time: 0.0441 memory: 13811 loss: 0.5254 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0247 loss_cls: 0.1227 acc: 99.4141 loss_bbox: 0.1769 loss_mask: 0.1897 2024/01/14 09:38:55 - mmengine - INFO - Epoch(train) [9][5450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:55:59 time: 1.1870 data_time: 0.0620 memory: 14142 loss: 0.5748 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0409 loss_cls: 0.1422 acc: 87.6953 loss_bbox: 0.1974 loss_mask: 0.1841 2024/01/14 09:39:55 - mmengine - INFO - Epoch(train) [9][5500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:54:59 time: 1.1993 data_time: 0.0540 memory: 14423 loss: 0.4767 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0248 loss_cls: 0.1114 acc: 99.6094 loss_bbox: 0.1643 loss_mask: 0.1666 2024/01/14 09:40:54 - mmengine - INFO - Epoch(train) [9][5550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:53:59 time: 1.1845 data_time: 0.0482 memory: 14716 loss: 0.5440 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0319 loss_cls: 0.1360 acc: 98.2422 loss_bbox: 0.1852 loss_mask: 0.1807 2024/01/14 09:41:55 - mmengine - INFO - Epoch(train) [9][5600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:52:59 time: 1.2106 data_time: 0.0549 memory: 14424 loss: 0.5169 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0249 loss_cls: 0.1236 acc: 97.4609 loss_bbox: 0.1828 loss_mask: 0.1764 2024/01/14 09:42:55 - mmengine - INFO - Epoch(train) [9][5650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:52:00 time: 1.2100 data_time: 0.0501 memory: 14672 loss: 0.4774 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0257 loss_cls: 0.1087 acc: 82.4219 loss_bbox: 0.1586 loss_mask: 0.1736 2024/01/14 09:43:55 - mmengine - INFO - Epoch(train) [9][5700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:51:00 time: 1.2001 data_time: 0.0533 memory: 14469 loss: 0.4741 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0287 loss_cls: 0.1060 acc: 96.0938 loss_bbox: 0.1627 loss_mask: 0.1708 2024/01/14 09:44:54 - mmengine - INFO - Epoch(train) [9][5750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:50:00 time: 1.1813 data_time: 0.0625 memory: 14954 loss: 0.5780 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0332 loss_cls: 0.1356 acc: 91.2109 loss_bbox: 0.2040 loss_mask: 0.1926 2024/01/14 09:45:54 - mmengine - INFO - Epoch(train) [9][5800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:49:00 time: 1.1829 data_time: 0.0505 memory: 14424 loss: 0.4552 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0269 loss_cls: 0.1051 acc: 97.0703 loss_bbox: 0.1549 loss_mask: 0.1528 2024/01/14 09:46:53 - mmengine - INFO - Epoch(train) [9][5850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:48:00 time: 1.1825 data_time: 0.0531 memory: 14128 loss: 0.4859 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0301 loss_cls: 0.1140 acc: 94.5312 loss_bbox: 0.1603 loss_mask: 0.1694 2024/01/14 09:47:53 - mmengine - INFO - Epoch(train) [9][5900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:47:00 time: 1.2017 data_time: 0.0514 memory: 14423 loss: 0.4924 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0300 loss_cls: 0.1131 acc: 98.4375 loss_bbox: 0.1657 loss_mask: 0.1760 2024/01/14 09:48:53 - mmengine - INFO - Epoch(train) [9][5950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:46:00 time: 1.2037 data_time: 0.0490 memory: 14469 loss: 0.5251 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0284 loss_cls: 0.1219 acc: 99.4141 loss_bbox: 0.1846 loss_mask: 0.1804 2024/01/14 09:49:52 - mmengine - INFO - Epoch(train) [9][6000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:45:00 time: 1.1855 data_time: 0.0539 memory: 14228 loss: 0.4868 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0302 loss_cls: 0.1090 acc: 99.6094 loss_bbox: 0.1642 loss_mask: 0.1712 2024/01/14 09:50:51 - mmengine - INFO - Epoch(train) [9][6050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:44:00 time: 1.1805 data_time: 0.0494 memory: 14052 loss: 0.4715 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0251 loss_cls: 0.1089 acc: 97.4609 loss_bbox: 0.1508 loss_mask: 0.1770 2024/01/14 09:51:51 - mmengine - INFO - Epoch(train) [9][6100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:43:00 time: 1.1991 data_time: 0.0560 memory: 14282 loss: 0.5493 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0296 loss_cls: 0.1365 acc: 98.8281 loss_bbox: 0.1890 loss_mask: 0.1845 2024/01/14 09:52:51 - mmengine - INFO - Epoch(train) [9][6150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:42:00 time: 1.1936 data_time: 0.0454 memory: 13952 loss: 0.4868 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0278 loss_cls: 0.1054 acc: 92.1875 loss_bbox: 0.1620 loss_mask: 0.1819 2024/01/14 09:53:52 - mmengine - INFO - Epoch(train) [9][6200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:41:01 time: 1.2136 data_time: 0.0571 memory: 13849 loss: 0.5294 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0295 loss_cls: 0.1212 acc: 95.3125 loss_bbox: 0.1835 loss_mask: 0.1858 2024/01/14 09:54:51 - mmengine - INFO - Epoch(train) [9][6250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:40:01 time: 1.1964 data_time: 0.0596 memory: 14951 loss: 0.4727 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0237 loss_cls: 0.1059 acc: 96.4844 loss_bbox: 0.1531 loss_mask: 0.1850 2024/01/14 09:55:51 - mmengine - INFO - Epoch(train) [9][6300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:39:01 time: 1.1890 data_time: 0.0638 memory: 14472 loss: 0.5949 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0319 loss_cls: 0.1542 acc: 88.8672 loss_bbox: 0.1998 loss_mask: 0.1882 2024/01/14 09:56:50 - mmengine - INFO - Epoch(train) [9][6350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:38:01 time: 1.1842 data_time: 0.0470 memory: 14446 loss: 0.4837 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0260 loss_cls: 0.1116 acc: 96.6797 loss_bbox: 0.1707 loss_mask: 0.1664 2024/01/14 09:57:03 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 09:57:50 - mmengine - INFO - Epoch(train) [9][6400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:37:01 time: 1.1989 data_time: 0.0563 memory: 14134 loss: 0.5045 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0305 loss_cls: 0.1161 acc: 86.7188 loss_bbox: 0.1757 loss_mask: 0.1722 2024/01/14 09:58:49 - mmengine - INFO - Epoch(train) [9][6450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:36:01 time: 1.1860 data_time: 0.0465 memory: 13919 loss: 0.5134 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0311 loss_cls: 0.1119 acc: 98.4375 loss_bbox: 0.1841 loss_mask: 0.1782 2024/01/14 09:59:49 - mmengine - INFO - Epoch(train) [9][6500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:35:01 time: 1.1953 data_time: 0.0631 memory: 14488 loss: 0.5935 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0386 loss_cls: 0.1457 acc: 97.8516 loss_bbox: 0.2081 loss_mask: 0.1897 2024/01/14 10:00:49 - mmengine - INFO - Epoch(train) [9][6550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:34:02 time: 1.2028 data_time: 0.0641 memory: 14654 loss: 0.5781 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0362 loss_cls: 0.1383 acc: 93.3594 loss_bbox: 0.1910 loss_mask: 0.2016 2024/01/14 10:01:49 - mmengine - INFO - Epoch(train) [9][6600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:33:02 time: 1.2011 data_time: 0.0515 memory: 14423 loss: 0.5010 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0318 loss_cls: 0.1219 acc: 99.8047 loss_bbox: 0.1746 loss_mask: 0.1633 2024/01/14 10:02:49 - mmengine - INFO - Epoch(train) [9][6650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:32:02 time: 1.1935 data_time: 0.0577 memory: 14134 loss: 0.5434 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0322 loss_cls: 0.1320 acc: 98.0469 loss_bbox: 0.1806 loss_mask: 0.1888 2024/01/14 10:03:49 - mmengine - INFO - Epoch(train) [9][6700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:31:02 time: 1.2058 data_time: 0.0550 memory: 14245 loss: 0.5611 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0342 loss_cls: 0.1358 acc: 98.2422 loss_bbox: 0.1908 loss_mask: 0.1886 2024/01/14 10:04:50 - mmengine - INFO - Epoch(train) [9][6750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:30:03 time: 1.2103 data_time: 0.0624 memory: 13952 loss: 0.5510 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0316 loss_cls: 0.1303 acc: 89.8438 loss_bbox: 0.1898 loss_mask: 0.1898 2024/01/14 10:05:49 - mmengine - INFO - Epoch(train) [9][6800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:29:03 time: 1.1805 data_time: 0.0530 memory: 14423 loss: 0.5467 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0346 loss_cls: 0.1290 acc: 88.2812 loss_bbox: 0.1860 loss_mask: 0.1815 2024/01/14 10:06:49 - mmengine - INFO - Epoch(train) [9][6850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:28:03 time: 1.1967 data_time: 0.0542 memory: 14472 loss: 0.5612 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0337 loss_cls: 0.1326 acc: 99.8047 loss_bbox: 0.1889 loss_mask: 0.1894 2024/01/14 10:07:49 - mmengine - INFO - Epoch(train) [9][6900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:27:03 time: 1.2056 data_time: 0.0585 memory: 14953 loss: 0.5656 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0297 loss_cls: 0.1350 acc: 80.0781 loss_bbox: 0.2003 loss_mask: 0.1903 2024/01/14 10:08:49 - mmengine - INFO - Epoch(train) [9][6950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:26:04 time: 1.2034 data_time: 0.0588 memory: 14041 loss: 0.5676 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0412 loss_cls: 0.1332 acc: 99.4141 loss_bbox: 0.1933 loss_mask: 0.1861 2024/01/14 10:09:49 - mmengine - INFO - Epoch(train) [9][7000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:25:04 time: 1.2042 data_time: 0.0576 memory: 14954 loss: 0.4937 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0246 loss_cls: 0.1222 acc: 99.2188 loss_bbox: 0.1722 loss_mask: 0.1660 2024/01/14 10:10:50 - mmengine - INFO - Epoch(train) [9][7050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:24:04 time: 1.2037 data_time: 0.0549 memory: 14953 loss: 0.5112 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0303 loss_cls: 0.1226 acc: 90.4297 loss_bbox: 0.1731 loss_mask: 0.1756 2024/01/14 10:11:50 - mmengine - INFO - Epoch(train) [9][7100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:23:05 time: 1.2037 data_time: 0.0503 memory: 14754 loss: 0.5064 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0261 loss_cls: 0.1235 acc: 99.6094 loss_bbox: 0.1724 loss_mask: 0.1789 2024/01/14 10:12:50 - mmengine - INFO - Epoch(train) [9][7150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:22:05 time: 1.1968 data_time: 0.0545 memory: 14328 loss: 0.4682 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0278 loss_cls: 0.0987 acc: 98.4375 loss_bbox: 0.1604 loss_mask: 0.1738 2024/01/14 10:13:48 - mmengine - INFO - Epoch(train) [9][7200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:21:04 time: 1.1722 data_time: 0.0485 memory: 13952 loss: 0.5890 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0352 loss_cls: 0.1389 acc: 92.5781 loss_bbox: 0.2034 loss_mask: 0.2005 2024/01/14 10:14:48 - mmengine - INFO - Epoch(train) [9][7250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:20:05 time: 1.1924 data_time: 0.0501 memory: 14605 loss: 0.4683 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0228 loss_cls: 0.1042 acc: 96.2891 loss_bbox: 0.1648 loss_mask: 0.1707 2024/01/14 10:15:48 - mmengine - INFO - Epoch(train) [9][7300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:19:05 time: 1.2098 data_time: 0.0566 memory: 14424 loss: 0.4677 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0252 loss_cls: 0.1102 acc: 99.4141 loss_bbox: 0.1598 loss_mask: 0.1627 2024/01/14 10:16:25 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 10:16:25 - mmengine - INFO - Saving checkpoint at 9 epochs 2024/01/14 10:16:40 - mmengine - INFO - Epoch(val) [9][ 50/313] eta: 0:00:59 time: 0.2249 data_time: 0.0214 memory: 14424 2024/01/14 10:16:51 - mmengine - INFO - Epoch(val) [9][100/313] eta: 0:00:47 time: 0.2237 data_time: 0.0195 memory: 3311 2024/01/14 10:17:02 - mmengine - INFO - Epoch(val) [9][150/313] eta: 0:00:36 time: 0.2232 data_time: 0.0235 memory: 3368 2024/01/14 10:17:14 - mmengine - INFO - Epoch(val) [9][200/313] eta: 0:00:25 time: 0.2294 data_time: 0.0251 memory: 3331 2024/01/14 10:17:25 - mmengine - INFO - Epoch(val) [9][250/313] eta: 0:00:14 time: 0.2156 data_time: 0.0178 memory: 3368 2024/01/14 10:17:36 - mmengine - INFO - Epoch(val) [9][300/313] eta: 0:00:02 time: 0.2243 data_time: 0.0220 memory: 3331 2024/01/14 10:17:44 - mmengine - INFO - Evaluating bbox... 2024/01/14 10:18:05 - mmengine - INFO - bbox_mAP_copypaste: 0.484 0.700 0.528 0.313 0.521 0.646 2024/01/14 10:18:05 - mmengine - INFO - Evaluating segm... 2024/01/14 10:18:28 - mmengine - INFO - segm_mAP_copypaste: 0.432 0.672 0.465 0.237 0.462 0.627 2024/01/14 10:18:29 - mmengine - INFO - Epoch(val) [9][313/313] coco/bbox_mAP: 0.4840 coco/bbox_mAP_50: 0.7000 coco/bbox_mAP_75: 0.5280 coco/bbox_mAP_s: 0.3130 coco/bbox_mAP_m: 0.5210 coco/bbox_mAP_l: 0.6460 coco/segm_mAP: 0.4320 coco/segm_mAP_50: 0.6720 coco/segm_mAP_75: 0.4650 coco/segm_mAP_s: 0.2370 coco/segm_mAP_m: 0.4620 coco/segm_mAP_l: 0.6270 data_time: 0.0210 time: 0.2227 2024/01/14 10:19:06 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 10:19:30 - mmengine - INFO - Epoch(train) [10][ 50/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:17:30 time: 1.2279 data_time: 0.0556 memory: 14563 loss: 0.4739 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0257 loss_cls: 0.1120 acc: 100.0000 loss_bbox: 0.1568 loss_mask: 0.1692 2024/01/14 10:20:29 - mmengine - INFO - Epoch(train) [10][ 100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:16:30 time: 1.1801 data_time: 0.0531 memory: 14469 loss: 0.5934 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0380 loss_cls: 0.1488 acc: 95.5078 loss_bbox: 0.2038 loss_mask: 0.1893 2024/01/14 10:21:29 - mmengine - INFO - Epoch(train) [10][ 150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:15:30 time: 1.1960 data_time: 0.0575 memory: 14658 loss: 0.5672 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0333 loss_cls: 0.1335 acc: 88.0859 loss_bbox: 0.1947 loss_mask: 0.1920 2024/01/14 10:22:29 - mmengine - INFO - Epoch(train) [10][ 200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:14:30 time: 1.2015 data_time: 0.0598 memory: 14472 loss: 0.5592 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0316 loss_cls: 0.1309 acc: 98.8281 loss_bbox: 0.1893 loss_mask: 0.2004 2024/01/14 10:23:29 - mmengine - INFO - Epoch(train) [10][ 250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:13:31 time: 1.1994 data_time: 0.0622 memory: 14903 loss: 0.5846 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0426 loss_cls: 0.1490 acc: 90.8203 loss_bbox: 0.1960 loss_mask: 0.1822 2024/01/14 10:24:29 - mmengine - INFO - Epoch(train) [10][ 300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:12:31 time: 1.1968 data_time: 0.0470 memory: 14488 loss: 0.5067 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0320 loss_cls: 0.1253 acc: 99.8047 loss_bbox: 0.1658 loss_mask: 0.1735 2024/01/14 10:25:29 - mmengine - INFO - Epoch(train) [10][ 350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:11:31 time: 1.2066 data_time: 0.0578 memory: 14658 loss: 0.5624 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0334 loss_cls: 0.1361 acc: 96.4844 loss_bbox: 0.1982 loss_mask: 0.1869 2024/01/14 10:26:29 - mmengine - INFO - Epoch(train) [10][ 400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:10:31 time: 1.1929 data_time: 0.0532 memory: 13771 loss: 0.4821 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0279 loss_cls: 0.1118 acc: 91.0156 loss_bbox: 0.1611 loss_mask: 0.1738 2024/01/14 10:27:29 - mmengine - INFO - Epoch(train) [10][ 450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:09:32 time: 1.2025 data_time: 0.0522 memory: 14424 loss: 0.4280 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0242 loss_cls: 0.0938 acc: 98.8281 loss_bbox: 0.1481 loss_mask: 0.1563 2024/01/14 10:28:30 - mmengine - INFO - Epoch(train) [10][ 500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:08:32 time: 1.2116 data_time: 0.0509 memory: 14472 loss: 0.4669 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0264 loss_cls: 0.1033 acc: 100.0000 loss_bbox: 0.1576 loss_mask: 0.1737 2024/01/14 10:29:29 - mmengine - INFO - Epoch(train) [10][ 550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:07:32 time: 1.1859 data_time: 0.0591 memory: 14472 loss: 0.5175 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0329 loss_cls: 0.1208 acc: 96.4844 loss_bbox: 0.1754 loss_mask: 0.1814 2024/01/14 10:30:28 - mmengine - INFO - Epoch(train) [10][ 600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:06:32 time: 1.1830 data_time: 0.0523 memory: 14328 loss: 0.5144 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0278 loss_cls: 0.1196 acc: 99.8047 loss_bbox: 0.1781 loss_mask: 0.1815 2024/01/14 10:31:29 - mmengine - INFO - Epoch(train) [10][ 650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:05:32 time: 1.2132 data_time: 0.0690 memory: 14526 loss: 0.5549 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0341 loss_cls: 0.1282 acc: 91.7969 loss_bbox: 0.1933 loss_mask: 0.1882 2024/01/14 10:32:29 - mmengine - INFO - Epoch(train) [10][ 700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:04:32 time: 1.1943 data_time: 0.0599 memory: 14658 loss: 0.4639 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0263 loss_cls: 0.0974 acc: 97.2656 loss_bbox: 0.1629 loss_mask: 0.1716 2024/01/14 10:33:28 - mmengine - INFO - Epoch(train) [10][ 750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:03:32 time: 1.1784 data_time: 0.0493 memory: 14472 loss: 0.4666 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0250 loss_cls: 0.1074 acc: 99.2188 loss_bbox: 0.1577 loss_mask: 0.1706 2024/01/14 10:34:27 - mmengine - INFO - Epoch(train) [10][ 800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:02:32 time: 1.1853 data_time: 0.0585 memory: 14366 loss: 0.5204 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0336 loss_cls: 0.1240 acc: 99.0234 loss_bbox: 0.1819 loss_mask: 0.1707 2024/01/14 10:35:27 - mmengine - INFO - Epoch(train) [10][ 850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:01:33 time: 1.2044 data_time: 0.0597 memory: 14708 loss: 0.5571 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0296 loss_cls: 0.1341 acc: 88.4766 loss_bbox: 0.1883 loss_mask: 0.1917 2024/01/14 10:36:27 - mmengine - INFO - Epoch(train) [10][ 900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:00:33 time: 1.2034 data_time: 0.0665 memory: 14954 loss: 0.5961 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0330 loss_cls: 0.1548 acc: 98.2422 loss_bbox: 0.2024 loss_mask: 0.1944 2024/01/14 10:37:27 - mmengine - INFO - Epoch(train) [10][ 950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:59:33 time: 1.1847 data_time: 0.0534 memory: 14423 loss: 0.4962 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0272 loss_cls: 0.1186 acc: 99.8047 loss_bbox: 0.1655 loss_mask: 0.1750 2024/01/14 10:38:27 - mmengine - INFO - Epoch(train) [10][1000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:58:33 time: 1.2026 data_time: 0.0531 memory: 14954 loss: 0.4785 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0234 loss_cls: 0.1139 acc: 96.6797 loss_bbox: 0.1639 loss_mask: 0.1687 2024/01/14 10:39:03 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 10:39:27 - mmengine - INFO - Epoch(train) [10][1050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:57:34 time: 1.2103 data_time: 0.0545 memory: 14472 loss: 0.5679 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0313 loss_cls: 0.1354 acc: 95.7031 loss_bbox: 0.2009 loss_mask: 0.1899 2024/01/14 10:40:27 - mmengine - INFO - Epoch(train) [10][1100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:56:34 time: 1.1947 data_time: 0.0568 memory: 13952 loss: 0.5016 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0318 loss_cls: 0.1121 acc: 99.6094 loss_bbox: 0.1697 loss_mask: 0.1801 2024/01/14 10:41:26 - mmengine - INFO - Epoch(train) [10][1150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:55:34 time: 1.1825 data_time: 0.0578 memory: 14328 loss: 0.4719 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0265 loss_cls: 0.1033 acc: 97.8516 loss_bbox: 0.1615 loss_mask: 0.1758 2024/01/14 10:42:26 - mmengine - INFO - Epoch(train) [10][1200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:54:34 time: 1.1888 data_time: 0.0591 memory: 14184 loss: 0.5103 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0304 loss_cls: 0.1216 acc: 85.9375 loss_bbox: 0.1679 loss_mask: 0.1798 2024/01/14 10:43:25 - mmengine - INFO - Epoch(train) [10][1250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:53:34 time: 1.1975 data_time: 0.0567 memory: 14153 loss: 0.5936 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0349 loss_cls: 0.1422 acc: 97.4609 loss_bbox: 0.2096 loss_mask: 0.1947 2024/01/14 10:44:26 - mmengine - INFO - Epoch(train) [10][1300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:52:34 time: 1.2011 data_time: 0.0542 memory: 14567 loss: 0.4664 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0272 loss_cls: 0.1020 acc: 100.0000 loss_bbox: 0.1671 loss_mask: 0.1633 2024/01/14 10:45:25 - mmengine - INFO - Epoch(train) [10][1350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:51:34 time: 1.1963 data_time: 0.0613 memory: 14950 loss: 0.5658 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0371 loss_cls: 0.1336 acc: 91.6016 loss_bbox: 0.1906 loss_mask: 0.1926 2024/01/14 10:46:25 - mmengine - INFO - Epoch(train) [10][1400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:50:35 time: 1.1976 data_time: 0.0582 memory: 14951 loss: 0.5295 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0297 loss_cls: 0.1236 acc: 95.1172 loss_bbox: 0.1871 loss_mask: 0.1813 2024/01/14 10:47:25 - mmengine - INFO - Epoch(train) [10][1450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:49:35 time: 1.1890 data_time: 0.0444 memory: 14800 loss: 0.4807 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0249 loss_cls: 0.1067 acc: 98.0469 loss_bbox: 0.1615 loss_mask: 0.1758 2024/01/14 10:48:25 - mmengine - INFO - Epoch(train) [10][1500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:48:35 time: 1.2044 data_time: 0.0615 memory: 14716 loss: 0.5447 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0323 loss_cls: 0.1222 acc: 96.0938 loss_bbox: 0.1998 loss_mask: 0.1818 2024/01/14 10:49:24 - mmengine - INFO - Epoch(train) [10][1550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:47:35 time: 1.1908 data_time: 0.0577 memory: 14425 loss: 0.6412 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0451 loss_cls: 0.1627 acc: 93.7500 loss_bbox: 0.2213 loss_mask: 0.2010 2024/01/14 10:50:24 - mmengine - INFO - Epoch(train) [10][1600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:46:35 time: 1.1856 data_time: 0.0538 memory: 14252 loss: 0.5419 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0311 loss_cls: 0.1296 acc: 95.5078 loss_bbox: 0.1855 loss_mask: 0.1888 2024/01/14 10:51:23 - mmengine - INFO - Epoch(train) [10][1650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:45:35 time: 1.1876 data_time: 0.0506 memory: 14539 loss: 0.5608 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0303 loss_cls: 0.1446 acc: 99.6094 loss_bbox: 0.1852 loss_mask: 0.1910 2024/01/14 10:52:24 - mmengine - INFO - Epoch(train) [10][1700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:44:36 time: 1.2171 data_time: 0.0583 memory: 14954 loss: 0.5727 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0286 loss_cls: 0.1328 acc: 93.5547 loss_bbox: 0.1994 loss_mask: 0.1982 2024/01/14 10:53:25 - mmengine - INFO - Epoch(train) [10][1750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:43:36 time: 1.2281 data_time: 0.0551 memory: 14954 loss: 0.5043 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0286 loss_cls: 0.1270 acc: 93.3594 loss_bbox: 0.1734 loss_mask: 0.1692 2024/01/14 10:54:25 - mmengine - INFO - Epoch(train) [10][1800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:42:36 time: 1.1995 data_time: 0.0496 memory: 14328 loss: 0.4901 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0259 loss_cls: 0.1098 acc: 89.8438 loss_bbox: 0.1618 loss_mask: 0.1809 2024/01/14 10:55:25 - mmengine - INFO - Epoch(train) [10][1850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:41:37 time: 1.1882 data_time: 0.0505 memory: 14041 loss: 0.4535 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0271 loss_cls: 0.1027 acc: 99.6094 loss_bbox: 0.1439 loss_mask: 0.1725 2024/01/14 10:56:25 - mmengine - INFO - Epoch(train) [10][1900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:40:37 time: 1.1951 data_time: 0.0584 memory: 14222 loss: 0.4950 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0290 loss_cls: 0.1166 acc: 92.7734 loss_bbox: 0.1613 loss_mask: 0.1808 2024/01/14 10:57:25 - mmengine - INFO - Epoch(train) [10][1950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:39:37 time: 1.2059 data_time: 0.0567 memory: 14472 loss: 0.4896 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0271 loss_cls: 0.1124 acc: 97.2656 loss_bbox: 0.1635 loss_mask: 0.1753 2024/01/14 10:58:24 - mmengine - INFO - Epoch(train) [10][2000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:38:37 time: 1.1902 data_time: 0.0569 memory: 14472 loss: 0.5270 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0264 loss_cls: 0.1315 acc: 82.0312 loss_bbox: 0.1817 loss_mask: 0.1782 2024/01/14 10:59:01 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 10:59:25 - mmengine - INFO - Epoch(train) [10][2050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:37:37 time: 1.2088 data_time: 0.0562 memory: 14815 loss: 0.4975 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0250 loss_cls: 0.1148 acc: 100.0000 loss_bbox: 0.1756 loss_mask: 0.1768 2024/01/14 11:00:25 - mmengine - INFO - Epoch(train) [10][2100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:36:38 time: 1.1952 data_time: 0.0490 memory: 14409 loss: 0.4941 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0277 loss_cls: 0.1224 acc: 92.5781 loss_bbox: 0.1659 loss_mask: 0.1656 2024/01/14 11:01:25 - mmengine - INFO - Epoch(train) [10][2150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:35:38 time: 1.2165 data_time: 0.0642 memory: 14472 loss: 0.6320 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0404 loss_cls: 0.1544 acc: 98.2422 loss_bbox: 0.2221 loss_mask: 0.2009 2024/01/14 11:02:25 - mmengine - INFO - Epoch(train) [10][2200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:34:38 time: 1.1983 data_time: 0.0595 memory: 14842 loss: 0.4721 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0329 loss_cls: 0.1036 acc: 99.6094 loss_bbox: 0.1641 loss_mask: 0.1604 2024/01/14 11:03:25 - mmengine - INFO - Epoch(train) [10][2250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:33:38 time: 1.1975 data_time: 0.0491 memory: 14520 loss: 0.4704 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0277 loss_cls: 0.1063 acc: 91.9922 loss_bbox: 0.1541 loss_mask: 0.1709 2024/01/14 11:04:24 - mmengine - INFO - Epoch(train) [10][2300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:32:38 time: 1.1738 data_time: 0.0574 memory: 14492 loss: 0.5689 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0328 loss_cls: 0.1378 acc: 100.0000 loss_bbox: 0.1894 loss_mask: 0.1984 2024/01/14 11:05:24 - mmengine - INFO - Epoch(train) [10][2350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:31:39 time: 1.2076 data_time: 0.0506 memory: 14041 loss: 0.4885 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0319 loss_cls: 0.1053 acc: 100.0000 loss_bbox: 0.1649 loss_mask: 0.1779 2024/01/14 11:06:25 - mmengine - INFO - Epoch(train) [10][2400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:30:39 time: 1.2077 data_time: 0.0529 memory: 14804 loss: 0.5022 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0278 loss_cls: 0.1152 acc: 94.1406 loss_bbox: 0.1721 loss_mask: 0.1804 2024/01/14 11:07:25 - mmengine - INFO - Epoch(train) [10][2450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:29:39 time: 1.2067 data_time: 0.0476 memory: 14472 loss: 0.5273 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0288 loss_cls: 0.1310 acc: 93.1641 loss_bbox: 0.1778 loss_mask: 0.1758 2024/01/14 11:08:24 - mmengine - INFO - Epoch(train) [10][2500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:28:39 time: 1.1860 data_time: 0.0571 memory: 13973 loss: 0.5856 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0372 loss_cls: 0.1426 acc: 92.9688 loss_bbox: 0.2034 loss_mask: 0.1943 2024/01/14 11:09:24 - mmengine - INFO - Epoch(train) [10][2550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:27:39 time: 1.1854 data_time: 0.0586 memory: 14073 loss: 0.5442 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0295 loss_cls: 0.1390 acc: 99.6094 loss_bbox: 0.1836 loss_mask: 0.1813 2024/01/14 11:10:25 - mmengine - INFO - Epoch(train) [10][2600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:26:40 time: 1.2184 data_time: 0.0501 memory: 14736 loss: 0.4990 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0249 loss_cls: 0.1175 acc: 89.8438 loss_bbox: 0.1758 loss_mask: 0.1725 2024/01/14 11:11:25 - mmengine - INFO - Epoch(train) [10][2650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:25:40 time: 1.2137 data_time: 0.0632 memory: 14423 loss: 0.5089 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0384 loss_cls: 0.1216 acc: 86.5234 loss_bbox: 0.1725 loss_mask: 0.1662 2024/01/14 11:12:26 - mmengine - INFO - Epoch(train) [10][2700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:24:41 time: 1.2065 data_time: 0.0571 memory: 14063 loss: 0.5531 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0320 loss_cls: 0.1311 acc: 91.4062 loss_bbox: 0.1894 loss_mask: 0.1897 2024/01/14 11:13:26 - mmengine - INFO - Epoch(train) [10][2750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:23:41 time: 1.1997 data_time: 0.0511 memory: 14134 loss: 0.4994 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0243 loss_cls: 0.1188 acc: 87.3047 loss_bbox: 0.1742 loss_mask: 0.1706 2024/01/14 11:14:27 - mmengine - INFO - Epoch(train) [10][2800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:22:41 time: 1.2185 data_time: 0.0532 memory: 14950 loss: 0.4405 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0255 loss_cls: 0.0938 acc: 99.4141 loss_bbox: 0.1474 loss_mask: 0.1674 2024/01/14 11:15:27 - mmengine - INFO - Epoch(train) [10][2850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:21:41 time: 1.2010 data_time: 0.0576 memory: 14472 loss: 0.4823 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0305 loss_cls: 0.1142 acc: 95.1172 loss_bbox: 0.1567 loss_mask: 0.1706 2024/01/14 11:16:27 - mmengine - INFO - Epoch(train) [10][2900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:20:42 time: 1.2012 data_time: 0.0521 memory: 14134 loss: 0.5061 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0284 loss_cls: 0.1210 acc: 96.8750 loss_bbox: 0.1776 loss_mask: 0.1730 2024/01/14 11:17:27 - mmengine - INFO - Epoch(train) [10][2950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:19:42 time: 1.2038 data_time: 0.0538 memory: 14472 loss: 0.5381 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0296 loss_cls: 0.1249 acc: 98.4375 loss_bbox: 0.1878 loss_mask: 0.1856 2024/01/14 11:18:27 - mmengine - INFO - Epoch(train) [10][3000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:18:42 time: 1.2000 data_time: 0.0478 memory: 14468 loss: 0.5246 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0267 loss_cls: 0.1359 acc: 92.9688 loss_bbox: 0.1743 loss_mask: 0.1759 2024/01/14 11:19:03 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 11:19:28 - mmengine - INFO - Epoch(train) [10][3050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:17:43 time: 1.2122 data_time: 0.0570 memory: 14472 loss: 0.4831 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0276 loss_cls: 0.1109 acc: 98.2422 loss_bbox: 0.1624 loss_mask: 0.1725 2024/01/14 11:20:28 - mmengine - INFO - Epoch(train) [10][3100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:16:43 time: 1.2066 data_time: 0.0537 memory: 14324 loss: 0.4591 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0262 loss_cls: 0.0973 acc: 95.5078 loss_bbox: 0.1506 loss_mask: 0.1778 2024/01/14 11:21:28 - mmengine - INFO - Epoch(train) [10][3150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:15:43 time: 1.2065 data_time: 0.0511 memory: 14472 loss: 0.4874 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0280 loss_cls: 0.1084 acc: 94.9219 loss_bbox: 0.1672 loss_mask: 0.1763 2024/01/14 11:22:28 - mmengine - INFO - Epoch(train) [10][3200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:14:43 time: 1.1907 data_time: 0.0599 memory: 14658 loss: 0.5651 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0373 loss_cls: 0.1436 acc: 97.8516 loss_bbox: 0.1885 loss_mask: 0.1845 2024/01/14 11:23:27 - mmengine - INFO - Epoch(train) [10][3250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:13:43 time: 1.1928 data_time: 0.0518 memory: 14416 loss: 0.5077 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0322 loss_cls: 0.1163 acc: 91.7969 loss_bbox: 0.1756 loss_mask: 0.1755 2024/01/14 11:24:27 - mmengine - INFO - Epoch(train) [10][3300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:12:44 time: 1.1964 data_time: 0.0512 memory: 14427 loss: 0.4741 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0243 loss_cls: 0.1096 acc: 98.8281 loss_bbox: 0.1638 loss_mask: 0.1671 2024/01/14 11:25:27 - mmengine - INFO - Epoch(train) [10][3350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:11:44 time: 1.1998 data_time: 0.0607 memory: 14472 loss: 0.5459 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0276 loss_cls: 0.1224 acc: 98.8281 loss_bbox: 0.1801 loss_mask: 0.2037 2024/01/14 11:26:27 - mmengine - INFO - Epoch(train) [10][3400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:10:44 time: 1.1978 data_time: 0.0522 memory: 14047 loss: 0.6193 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0390 loss_cls: 0.1430 acc: 95.5078 loss_bbox: 0.2206 loss_mask: 0.2053 2024/01/14 11:27:27 - mmengine - INFO - Epoch(train) [10][3450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:09:44 time: 1.1880 data_time: 0.0533 memory: 14328 loss: 0.4888 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0319 loss_cls: 0.1070 acc: 92.1875 loss_bbox: 0.1690 loss_mask: 0.1711 2024/01/14 11:28:27 - mmengine - INFO - Epoch(train) [10][3500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:08:44 time: 1.2092 data_time: 0.0586 memory: 14597 loss: 0.4715 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0288 loss_cls: 0.1147 acc: 98.2422 loss_bbox: 0.1593 loss_mask: 0.1599 2024/01/14 11:29:26 - mmengine - INFO - Epoch(train) [10][3550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:07:44 time: 1.1831 data_time: 0.0595 memory: 14469 loss: 0.5661 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0340 loss_cls: 0.1369 acc: 99.8047 loss_bbox: 0.1995 loss_mask: 0.1867 2024/01/14 11:30:26 - mmengine - INFO - Epoch(train) [10][3600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:06:45 time: 1.1964 data_time: 0.0591 memory: 14954 loss: 0.5660 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0329 loss_cls: 0.1391 acc: 96.2891 loss_bbox: 0.1932 loss_mask: 0.1928 2024/01/14 11:31:26 - mmengine - INFO - Epoch(train) [10][3650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:05:45 time: 1.1901 data_time: 0.0555 memory: 13918 loss: 0.4695 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0243 loss_cls: 0.1095 acc: 95.1172 loss_bbox: 0.1549 loss_mask: 0.1702 2024/01/14 11:32:25 - mmengine - INFO - Epoch(train) [10][3700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:04:45 time: 1.1880 data_time: 0.0533 memory: 14472 loss: 0.5539 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0350 loss_cls: 0.1291 acc: 96.6797 loss_bbox: 0.1957 loss_mask: 0.1853 2024/01/14 11:33:26 - mmengine - INFO - Epoch(train) [10][3750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:03:45 time: 1.2121 data_time: 0.0493 memory: 14423 loss: 0.3562 loss_rpn_cls: 0.0041 loss_rpn_bbox: 0.0171 loss_cls: 0.0760 acc: 99.8047 loss_bbox: 0.1152 loss_mask: 0.1439 2024/01/14 11:34:26 - mmengine - INFO - Epoch(train) [10][3800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:02:45 time: 1.2084 data_time: 0.0493 memory: 14954 loss: 0.5343 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0288 loss_cls: 0.1195 acc: 97.8516 loss_bbox: 0.1770 loss_mask: 0.2008 2024/01/14 11:35:25 - mmengine - INFO - Epoch(train) [10][3850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:01:45 time: 1.1821 data_time: 0.0507 memory: 13952 loss: 0.4526 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0206 loss_cls: 0.0956 acc: 99.8047 loss_bbox: 0.1549 loss_mask: 0.1757 2024/01/14 11:36:25 - mmengine - INFO - Epoch(train) [10][3900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:00:46 time: 1.2035 data_time: 0.0505 memory: 14063 loss: 0.4863 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0242 loss_cls: 0.1135 acc: 99.4141 loss_bbox: 0.1656 loss_mask: 0.1734 2024/01/14 11:37:26 - mmengine - INFO - Epoch(train) [10][3950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:59:46 time: 1.2053 data_time: 0.0562 memory: 14472 loss: 0.5180 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0304 loss_cls: 0.1157 acc: 96.2891 loss_bbox: 0.1761 loss_mask: 0.1856 2024/01/14 11:38:25 - mmengine - INFO - Epoch(train) [10][4000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:58:46 time: 1.1843 data_time: 0.0491 memory: 14471 loss: 0.4643 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0241 loss_cls: 0.0980 acc: 95.7031 loss_bbox: 0.1549 loss_mask: 0.1793 2024/01/14 11:39:01 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 11:39:25 - mmengine - INFO - Epoch(train) [10][4050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:57:46 time: 1.2009 data_time: 0.0545 memory: 14951 loss: 0.5323 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0380 loss_cls: 0.1299 acc: 93.9453 loss_bbox: 0.1747 loss_mask: 0.1793 2024/01/14 11:40:25 - mmengine - INFO - Epoch(train) [10][4100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:56:47 time: 1.2112 data_time: 0.0488 memory: 14162 loss: 0.4788 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0237 loss_cls: 0.1111 acc: 97.4609 loss_bbox: 0.1676 loss_mask: 0.1693 2024/01/14 11:41:26 - mmengine - INFO - Epoch(train) [10][4150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:55:47 time: 1.2030 data_time: 0.0533 memory: 13771 loss: 0.4901 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0259 loss_cls: 0.1188 acc: 96.4844 loss_bbox: 0.1734 loss_mask: 0.1640 2024/01/14 11:42:25 - mmengine - INFO - Epoch(train) [10][4200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:54:47 time: 1.1847 data_time: 0.0579 memory: 14472 loss: 0.4909 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0275 loss_cls: 0.1142 acc: 95.7031 loss_bbox: 0.1664 loss_mask: 0.1769 2024/01/14 11:43:25 - mmengine - INFO - Epoch(train) [10][4250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:53:47 time: 1.2060 data_time: 0.0553 memory: 14145 loss: 0.4996 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0262 loss_cls: 0.1246 acc: 95.1172 loss_bbox: 0.1627 loss_mask: 0.1769 2024/01/14 11:44:26 - mmengine - INFO - Epoch(train) [10][4300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:52:48 time: 1.2181 data_time: 0.0582 memory: 13771 loss: 0.4929 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0303 loss_cls: 0.1176 acc: 94.9219 loss_bbox: 0.1689 loss_mask: 0.1664 2024/01/14 11:45:26 - mmengine - INFO - Epoch(train) [10][4350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:51:48 time: 1.1991 data_time: 0.0513 memory: 14423 loss: 0.4862 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0269 loss_cls: 0.1158 acc: 91.7969 loss_bbox: 0.1581 loss_mask: 0.1801 2024/01/14 11:46:26 - mmengine - INFO - Epoch(train) [10][4400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:50:48 time: 1.2069 data_time: 0.0536 memory: 14453 loss: 0.5952 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0411 loss_cls: 0.1499 acc: 88.8672 loss_bbox: 0.2027 loss_mask: 0.1854 2024/01/14 11:47:27 - mmengine - INFO - Epoch(train) [10][4450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:49:48 time: 1.2151 data_time: 0.0530 memory: 14134 loss: 0.4952 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0325 loss_cls: 0.1237 acc: 99.6094 loss_bbox: 0.1656 loss_mask: 0.1642 2024/01/14 11:48:27 - mmengine - INFO - Epoch(train) [10][4500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:48:49 time: 1.1962 data_time: 0.0573 memory: 14400 loss: 0.4520 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0282 loss_cls: 0.1069 acc: 97.2656 loss_bbox: 0.1501 loss_mask: 0.1612 2024/01/14 11:49:27 - mmengine - INFO - Epoch(train) [10][4550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:47:49 time: 1.1993 data_time: 0.0573 memory: 14954 loss: 0.5606 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0344 loss_cls: 0.1298 acc: 94.1406 loss_bbox: 0.1915 loss_mask: 0.1939 2024/01/14 11:50:27 - mmengine - INFO - Epoch(train) [10][4600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:46:49 time: 1.2020 data_time: 0.0533 memory: 14954 loss: 0.5013 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0286 loss_cls: 0.1163 acc: 99.0234 loss_bbox: 0.1691 loss_mask: 0.1793 2024/01/14 11:51:27 - mmengine - INFO - Epoch(train) [10][4650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:45:49 time: 1.1877 data_time: 0.0442 memory: 13952 loss: 0.4042 loss_rpn_cls: 0.0044 loss_rpn_bbox: 0.0162 loss_cls: 0.0829 acc: 96.4844 loss_bbox: 0.1393 loss_mask: 0.1614 2024/01/14 11:52:28 - mmengine - INFO - Epoch(train) [10][4700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:44:50 time: 1.2198 data_time: 0.0616 memory: 14423 loss: 0.5341 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0399 loss_cls: 0.1196 acc: 82.6172 loss_bbox: 0.1805 loss_mask: 0.1807 2024/01/14 11:53:27 - mmengine - INFO - Epoch(train) [10][4750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:43:50 time: 1.1943 data_time: 0.0521 memory: 14951 loss: 0.4558 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0265 loss_cls: 0.0969 acc: 92.1875 loss_bbox: 0.1618 loss_mask: 0.1634 2024/01/14 11:54:27 - mmengine - INFO - Epoch(train) [10][4800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:42:50 time: 1.1890 data_time: 0.0447 memory: 14424 loss: 0.5038 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0273 loss_cls: 0.1192 acc: 97.6562 loss_bbox: 0.1639 loss_mask: 0.1855 2024/01/14 11:55:26 - mmengine - INFO - Epoch(train) [10][4850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:41:50 time: 1.1863 data_time: 0.0504 memory: 14286 loss: 0.4833 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0252 loss_cls: 0.1199 acc: 99.6094 loss_bbox: 0.1588 loss_mask: 0.1713 2024/01/14 11:56:27 - mmengine - INFO - Epoch(train) [10][4900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:40:50 time: 1.2102 data_time: 0.0656 memory: 13771 loss: 0.5546 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0430 loss_cls: 0.1343 acc: 90.8203 loss_bbox: 0.1833 loss_mask: 0.1815 2024/01/14 11:57:27 - mmengine - INFO - Epoch(train) [10][4950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:39:50 time: 1.2067 data_time: 0.0606 memory: 14472 loss: 0.5694 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0364 loss_cls: 0.1444 acc: 90.8203 loss_bbox: 0.1920 loss_mask: 0.1853 2024/01/14 11:58:27 - mmengine - INFO - Epoch(train) [10][5000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:38:51 time: 1.1958 data_time: 0.0526 memory: 13952 loss: 0.4687 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0216 loss_cls: 0.1116 acc: 88.0859 loss_bbox: 0.1575 loss_mask: 0.1702 2024/01/14 11:59:03 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 11:59:27 - mmengine - INFO - Epoch(train) [10][5050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:37:51 time: 1.1969 data_time: 0.0466 memory: 13952 loss: 0.4585 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0294 loss_cls: 0.0988 acc: 93.5547 loss_bbox: 0.1507 loss_mask: 0.1686 2024/01/14 12:00:27 - mmengine - INFO - Epoch(train) [10][5100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:36:51 time: 1.1995 data_time: 0.0599 memory: 14472 loss: 0.5262 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0337 loss_cls: 0.1374 acc: 95.3125 loss_bbox: 0.1728 loss_mask: 0.1677 2024/01/14 12:01:26 - mmengine - INFO - Epoch(train) [10][5150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:35:51 time: 1.1945 data_time: 0.0573 memory: 14134 loss: 0.5663 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0412 loss_cls: 0.1250 acc: 97.2656 loss_bbox: 0.1888 loss_mask: 0.1982 2024/01/14 12:02:27 - mmengine - INFO - Epoch(train) [10][5200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:34:51 time: 1.2112 data_time: 0.0594 memory: 14472 loss: 0.5294 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0318 loss_cls: 0.1171 acc: 90.6250 loss_bbox: 0.1828 loss_mask: 0.1915 2024/01/14 12:03:27 - mmengine - INFO - Epoch(train) [10][5250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:33:52 time: 1.2038 data_time: 0.0474 memory: 14423 loss: 0.4555 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0313 loss_cls: 0.0952 acc: 88.4766 loss_bbox: 0.1512 loss_mask: 0.1727 2024/01/14 12:04:28 - mmengine - INFO - Epoch(train) [10][5300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:32:52 time: 1.2224 data_time: 0.0599 memory: 14950 loss: 0.4436 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0255 loss_cls: 0.0929 acc: 97.4609 loss_bbox: 0.1453 loss_mask: 0.1718 2024/01/14 12:05:29 - mmengine - INFO - Epoch(train) [10][5350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:31:52 time: 1.2064 data_time: 0.0481 memory: 14423 loss: 0.4151 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0218 loss_cls: 0.0944 acc: 93.1641 loss_bbox: 0.1443 loss_mask: 0.1487 2024/01/14 12:06:28 - mmengine - INFO - Epoch(train) [10][5400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:30:53 time: 1.1959 data_time: 0.0459 memory: 14951 loss: 0.5329 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0298 loss_cls: 0.1322 acc: 92.9688 loss_bbox: 0.1858 loss_mask: 0.1744 2024/01/14 12:07:28 - mmengine - INFO - Epoch(train) [10][5450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:29:53 time: 1.1905 data_time: 0.0559 memory: 14328 loss: 0.4361 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0237 loss_cls: 0.1003 acc: 97.6562 loss_bbox: 0.1393 loss_mask: 0.1637 2024/01/14 12:08:28 - mmengine - INFO - Epoch(train) [10][5500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:28:53 time: 1.2083 data_time: 0.0566 memory: 14472 loss: 0.5849 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0429 loss_cls: 0.1400 acc: 99.8047 loss_bbox: 0.2070 loss_mask: 0.1814 2024/01/14 12:09:28 - mmengine - INFO - Epoch(train) [10][5550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:27:53 time: 1.2019 data_time: 0.0637 memory: 14590 loss: 0.5398 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0331 loss_cls: 0.1311 acc: 99.8047 loss_bbox: 0.1852 loss_mask: 0.1769 2024/01/14 12:10:28 - mmengine - INFO - Epoch(train) [10][5600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:26:53 time: 1.1845 data_time: 0.0435 memory: 14424 loss: 0.4047 loss_rpn_cls: 0.0041 loss_rpn_bbox: 0.0202 loss_cls: 0.0835 acc: 94.1406 loss_bbox: 0.1406 loss_mask: 0.1563 2024/01/14 12:11:27 - mmengine - INFO - Epoch(train) [10][5650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:25:53 time: 1.1909 data_time: 0.0599 memory: 14658 loss: 0.5240 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0306 loss_cls: 0.1192 acc: 96.2891 loss_bbox: 0.1812 loss_mask: 0.1802 2024/01/14 12:12:28 - mmengine - INFO - Epoch(train) [10][5700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:24:54 time: 1.2122 data_time: 0.0547 memory: 14472 loss: 0.4633 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0260 loss_cls: 0.1064 acc: 99.2188 loss_bbox: 0.1608 loss_mask: 0.1626 2024/01/14 12:13:28 - mmengine - INFO - Epoch(train) [10][5750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:23:54 time: 1.2050 data_time: 0.0575 memory: 14680 loss: 0.5336 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0354 loss_cls: 0.1289 acc: 98.4375 loss_bbox: 0.1795 loss_mask: 0.1807 2024/01/14 12:14:27 - mmengine - INFO - Epoch(train) [10][5800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:22:54 time: 1.1813 data_time: 0.0491 memory: 14954 loss: 0.4810 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0245 loss_cls: 0.1130 acc: 96.0938 loss_bbox: 0.1591 loss_mask: 0.1738 2024/01/14 12:15:27 - mmengine - INFO - Epoch(train) [10][5850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:21:54 time: 1.2036 data_time: 0.0527 memory: 14248 loss: 0.5508 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0313 loss_cls: 0.1307 acc: 99.2188 loss_bbox: 0.1915 loss_mask: 0.1873 2024/01/14 12:16:27 - mmengine - INFO - Epoch(train) [10][5900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:20:54 time: 1.1996 data_time: 0.0540 memory: 14730 loss: 0.5705 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0318 loss_cls: 0.1442 acc: 91.6016 loss_bbox: 0.1946 loss_mask: 0.1895 2024/01/14 12:17:27 - mmengine - INFO - Epoch(train) [10][5950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:19:54 time: 1.1834 data_time: 0.0584 memory: 14423 loss: 0.5356 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0349 loss_cls: 0.1236 acc: 98.0469 loss_bbox: 0.1902 loss_mask: 0.1746 2024/01/14 12:18:27 - mmengine - INFO - Epoch(train) [10][6000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:18:55 time: 1.2142 data_time: 0.0490 memory: 13771 loss: 0.5135 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0267 loss_cls: 0.1143 acc: 94.3359 loss_bbox: 0.1737 loss_mask: 0.1913 2024/01/14 12:19:03 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 12:19:27 - mmengine - INFO - Epoch(train) [10][6050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:17:55 time: 1.1959 data_time: 0.0542 memory: 14472 loss: 0.4548 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0269 loss_cls: 0.1009 acc: 96.2891 loss_bbox: 0.1439 loss_mask: 0.1752 2024/01/14 12:20:27 - mmengine - INFO - Epoch(train) [10][6100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:16:55 time: 1.1926 data_time: 0.0451 memory: 14413 loss: 0.4966 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0325 loss_cls: 0.1153 acc: 96.4844 loss_bbox: 0.1600 loss_mask: 0.1791 2024/01/14 12:21:27 - mmengine - INFO - Epoch(train) [10][6150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:15:55 time: 1.1996 data_time: 0.0625 memory: 14654 loss: 0.5745 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0287 loss_cls: 0.1513 acc: 98.8281 loss_bbox: 0.1897 loss_mask: 0.1936 2024/01/14 12:22:27 - mmengine - INFO - Epoch(train) [10][6200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:14:55 time: 1.2080 data_time: 0.0606 memory: 14472 loss: 0.5197 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0323 loss_cls: 0.1210 acc: 99.0234 loss_bbox: 0.1678 loss_mask: 0.1867 2024/01/14 12:23:26 - mmengine - INFO - Epoch(train) [10][6250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:13:55 time: 1.1818 data_time: 0.0612 memory: 14658 loss: 0.5637 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0373 loss_cls: 0.1280 acc: 98.8281 loss_bbox: 0.1982 loss_mask: 0.1880 2024/01/14 12:24:25 - mmengine - INFO - Epoch(train) [10][6300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:12:55 time: 1.1834 data_time: 0.0611 memory: 13952 loss: 0.5992 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0419 loss_cls: 0.1434 acc: 92.7734 loss_bbox: 0.2022 loss_mask: 0.1989 2024/01/14 12:25:24 - mmengine - INFO - Epoch(train) [10][6350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:11:55 time: 1.1778 data_time: 0.0497 memory: 14423 loss: 0.4316 loss_rpn_cls: 0.0051 loss_rpn_bbox: 0.0183 loss_cls: 0.0956 acc: 96.2891 loss_bbox: 0.1473 loss_mask: 0.1653 2024/01/14 12:26:24 - mmengine - INFO - Epoch(train) [10][6400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:10:56 time: 1.2008 data_time: 0.0611 memory: 14472 loss: 0.5406 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0311 loss_cls: 0.1262 acc: 98.6328 loss_bbox: 0.1845 loss_mask: 0.1874 2024/01/14 12:27:25 - mmengine - INFO - Epoch(train) [10][6450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:09:56 time: 1.2041 data_time: 0.0483 memory: 14472 loss: 0.3915 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0182 loss_cls: 0.0800 acc: 99.2188 loss_bbox: 0.1305 loss_mask: 0.1566 2024/01/14 12:28:25 - mmengine - INFO - Epoch(train) [10][6500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:08:56 time: 1.1996 data_time: 0.0590 memory: 14950 loss: 0.5149 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0277 loss_cls: 0.1208 acc: 99.2188 loss_bbox: 0.1837 loss_mask: 0.1755 2024/01/14 12:29:23 - mmengine - INFO - Epoch(train) [10][6550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:07:56 time: 1.1743 data_time: 0.0553 memory: 14472 loss: 0.4899 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0221 loss_cls: 0.1175 acc: 94.9219 loss_bbox: 0.1705 loss_mask: 0.1738 2024/01/14 12:30:23 - mmengine - INFO - Epoch(train) [10][6600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:06:56 time: 1.2015 data_time: 0.0530 memory: 14472 loss: 0.4927 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0307 loss_cls: 0.1050 acc: 93.3594 loss_bbox: 0.1620 loss_mask: 0.1835 2024/01/14 12:31:23 - mmengine - INFO - Epoch(train) [10][6650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:05:56 time: 1.1935 data_time: 0.0494 memory: 14954 loss: 0.5669 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0267 loss_cls: 0.1425 acc: 99.2188 loss_bbox: 0.1965 loss_mask: 0.1903 2024/01/14 12:32:23 - mmengine - INFO - Epoch(train) [10][6700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:04:57 time: 1.2050 data_time: 0.0561 memory: 14954 loss: 0.4625 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0316 loss_cls: 0.1024 acc: 97.0703 loss_bbox: 0.1484 loss_mask: 0.1706 2024/01/14 12:33:23 - mmengine - INFO - Epoch(train) [10][6750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:03:57 time: 1.2002 data_time: 0.0502 memory: 14472 loss: 0.5661 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0299 loss_cls: 0.1317 acc: 91.6016 loss_bbox: 0.1902 loss_mask: 0.2000 2024/01/14 12:34:24 - mmengine - INFO - Epoch(train) [10][6800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:02:57 time: 1.2137 data_time: 0.0534 memory: 14953 loss: 0.5044 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0245 loss_cls: 0.1179 acc: 95.3125 loss_bbox: 0.1782 loss_mask: 0.1761 2024/01/14 12:35:24 - mmengine - INFO - Epoch(train) [10][6850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:01:57 time: 1.2055 data_time: 0.0625 memory: 14063 loss: 0.5335 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0314 loss_cls: 0.1210 acc: 96.4844 loss_bbox: 0.1871 loss_mask: 0.1805 2024/01/14 12:36:25 - mmengine - INFO - Epoch(train) [10][6900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:00:58 time: 1.2135 data_time: 0.0579 memory: 14658 loss: 0.5490 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0327 loss_cls: 0.1249 acc: 99.4141 loss_bbox: 0.1927 loss_mask: 0.1890 2024/01/14 12:37:25 - mmengine - INFO - Epoch(train) [10][6950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:59:58 time: 1.2010 data_time: 0.0567 memory: 14472 loss: 0.5480 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0334 loss_cls: 0.1300 acc: 100.0000 loss_bbox: 0.1901 loss_mask: 0.1834 2024/01/14 12:38:25 - mmengine - INFO - Epoch(train) [10][7000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:58:58 time: 1.1929 data_time: 0.0553 memory: 14038 loss: 0.5780 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0444 loss_cls: 0.1336 acc: 83.5938 loss_bbox: 0.1945 loss_mask: 0.1933 2024/01/14 12:39:01 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 12:39:24 - mmengine - INFO - Epoch(train) [10][7050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:57:58 time: 1.1928 data_time: 0.0530 memory: 14324 loss: 0.4868 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0294 loss_cls: 0.1092 acc: 99.8047 loss_bbox: 0.1670 loss_mask: 0.1741 2024/01/14 12:40:24 - mmengine - INFO - Epoch(train) [10][7100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:56:58 time: 1.1995 data_time: 0.0529 memory: 14950 loss: 0.4952 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0331 loss_cls: 0.1150 acc: 95.1172 loss_bbox: 0.1647 loss_mask: 0.1693 2024/01/14 12:41:24 - mmengine - INFO - Epoch(train) [10][7150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:55:58 time: 1.1834 data_time: 0.0519 memory: 14328 loss: 0.4915 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0345 loss_cls: 0.1109 acc: 89.6484 loss_bbox: 0.1638 loss_mask: 0.1740 2024/01/14 12:42:23 - mmengine - INFO - Epoch(train) [10][7200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:54:59 time: 1.1854 data_time: 0.0575 memory: 14472 loss: 0.4963 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0279 loss_cls: 0.1115 acc: 93.9453 loss_bbox: 0.1741 loss_mask: 0.1722 2024/01/14 12:43:23 - mmengine - INFO - Epoch(train) [10][7250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:53:59 time: 1.1947 data_time: 0.0509 memory: 14528 loss: 0.4775 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0320 loss_cls: 0.1033 acc: 97.4609 loss_bbox: 0.1650 loss_mask: 0.1661 2024/01/14 12:44:22 - mmengine - INFO - Epoch(train) [10][7300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:52:59 time: 1.1890 data_time: 0.0500 memory: 14341 loss: 0.4254 loss_rpn_cls: 0.0041 loss_rpn_bbox: 0.0249 loss_cls: 0.0928 acc: 99.4141 loss_bbox: 0.1427 loss_mask: 0.1609 2024/01/14 12:44:58 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 12:44:58 - mmengine - INFO - Saving checkpoint at 10 epochs 2024/01/14 12:45:13 - mmengine - INFO - Epoch(val) [10][ 50/313] eta: 0:01:00 time: 0.2286 data_time: 0.0253 memory: 14424 2024/01/14 12:45:25 - mmengine - INFO - Epoch(val) [10][100/313] eta: 0:00:48 time: 0.2278 data_time: 0.0234 memory: 3311 2024/01/14 12:45:36 - mmengine - INFO - Epoch(val) [10][150/313] eta: 0:00:37 time: 0.2292 data_time: 0.0295 memory: 3368 2024/01/14 12:45:48 - mmengine - INFO - Epoch(val) [10][200/313] eta: 0:00:25 time: 0.2312 data_time: 0.0267 memory: 3331 2024/01/14 12:45:59 - mmengine - INFO - Epoch(val) [10][250/313] eta: 0:00:14 time: 0.2189 data_time: 0.0219 memory: 3368 2024/01/14 12:46:11 - mmengine - INFO - Epoch(val) [10][300/313] eta: 0:00:02 time: 0.2414 data_time: 0.0328 memory: 3331 2024/01/14 12:46:18 - mmengine - INFO - Evaluating bbox... 2024/01/14 12:46:39 - mmengine - INFO - bbox_mAP_copypaste: 0.486 0.700 0.531 0.310 0.520 0.660 2024/01/14 12:46:39 - mmengine - INFO - Evaluating segm... 2024/01/14 12:47:03 - mmengine - INFO - segm_mAP_copypaste: 0.433 0.671 0.467 0.232 0.463 0.629 2024/01/14 12:47:03 - mmengine - INFO - Epoch(val) [10][313/313] coco/bbox_mAP: 0.4860 coco/bbox_mAP_50: 0.7000 coco/bbox_mAP_75: 0.5310 coco/bbox_mAP_s: 0.3100 coco/bbox_mAP_m: 0.5200 coco/bbox_mAP_l: 0.6600 coco/segm_mAP: 0.4330 coco/segm_mAP_50: 0.6710 coco/segm_mAP_75: 0.4670 coco/segm_mAP_s: 0.2320 coco/segm_mAP_m: 0.4630 coco/segm_mAP_l: 0.6290 data_time: 0.0257 time: 0.2283 2024/01/14 12:48:03 - mmengine - INFO - Epoch(train) [11][ 50/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:51:23 time: 1.2069 data_time: 0.0619 memory: 14950 loss: 0.5275 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0247 loss_cls: 0.1311 acc: 82.4219 loss_bbox: 0.1910 loss_mask: 0.1707 2024/01/14 12:49:04 - mmengine - INFO - Epoch(train) [11][ 100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:50:23 time: 1.2096 data_time: 0.0476 memory: 14472 loss: 0.5207 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0327 loss_cls: 0.1199 acc: 93.7500 loss_bbox: 0.1764 loss_mask: 0.1819 2024/01/14 12:50:04 - mmengine - INFO - Epoch(train) [11][ 150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:49:24 time: 1.2002 data_time: 0.0452 memory: 14521 loss: 0.4743 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0294 loss_cls: 0.1097 acc: 98.6328 loss_bbox: 0.1558 loss_mask: 0.1709 2024/01/14 12:51:03 - mmengine - INFO - Epoch(train) [11][ 200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:48:24 time: 1.1836 data_time: 0.0560 memory: 13952 loss: 0.4155 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0272 loss_cls: 0.0890 acc: 99.8047 loss_bbox: 0.1357 loss_mask: 0.1566 2024/01/14 12:52:03 - mmengine - INFO - Epoch(train) [11][ 250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:47:24 time: 1.2052 data_time: 0.0502 memory: 14954 loss: 0.4288 loss_rpn_cls: 0.0033 loss_rpn_bbox: 0.0190 loss_cls: 0.0984 acc: 98.2422 loss_bbox: 0.1493 loss_mask: 0.1588 2024/01/14 12:53:04 - mmengine - INFO - Epoch(train) [11][ 300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:46:24 time: 1.2010 data_time: 0.0491 memory: 14777 loss: 0.5149 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0280 loss_cls: 0.1224 acc: 98.0469 loss_bbox: 0.1747 loss_mask: 0.1819 2024/01/14 12:54:04 - mmengine - INFO - Epoch(train) [11][ 350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:45:24 time: 1.2117 data_time: 0.0499 memory: 14125 loss: 0.4531 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0237 loss_cls: 0.1079 acc: 97.4609 loss_bbox: 0.1515 loss_mask: 0.1578 2024/01/14 12:55:04 - mmengine - INFO - Epoch(train) [11][ 400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:44:25 time: 1.1940 data_time: 0.0594 memory: 14472 loss: 0.5609 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0322 loss_cls: 0.1329 acc: 95.7031 loss_bbox: 0.1909 loss_mask: 0.1964 2024/01/14 12:56:04 - mmengine - INFO - Epoch(train) [11][ 450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:43:25 time: 1.1947 data_time: 0.0578 memory: 13952 loss: 0.5547 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0335 loss_cls: 0.1223 acc: 96.0938 loss_bbox: 0.2019 loss_mask: 0.1867 2024/01/14 12:57:03 - mmengine - INFO - Epoch(train) [11][ 500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:42:25 time: 1.1938 data_time: 0.0415 memory: 14036 loss: 0.4841 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0246 loss_cls: 0.1090 acc: 98.4375 loss_bbox: 0.1588 loss_mask: 0.1832 2024/01/14 12:58:03 - mmengine - INFO - Epoch(train) [11][ 550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:41:25 time: 1.1946 data_time: 0.0508 memory: 14658 loss: 0.4511 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0271 loss_cls: 0.1073 acc: 98.2422 loss_bbox: 0.1542 loss_mask: 0.1535 2024/01/14 12:59:03 - mmengine - INFO - Epoch(train) [11][ 600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:40:25 time: 1.1985 data_time: 0.0544 memory: 14954 loss: 0.4883 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0252 loss_cls: 0.1224 acc: 89.0625 loss_bbox: 0.1721 loss_mask: 0.1602 2024/01/14 13:00:03 - mmengine - INFO - Epoch(train) [11][ 650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:39:25 time: 1.2018 data_time: 0.0533 memory: 14472 loss: 0.4835 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0257 loss_cls: 0.1062 acc: 96.0938 loss_bbox: 0.1594 loss_mask: 0.1791 2024/01/14 13:01:03 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 13:01:03 - mmengine - INFO - Epoch(train) [11][ 700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:38:26 time: 1.1950 data_time: 0.0483 memory: 13771 loss: 0.5228 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0317 loss_cls: 0.1262 acc: 96.2891 loss_bbox: 0.1724 loss_mask: 0.1806 2024/01/14 13:02:03 - mmengine - INFO - Epoch(train) [11][ 750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:37:26 time: 1.2017 data_time: 0.0540 memory: 14951 loss: 0.5369 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0328 loss_cls: 0.1169 acc: 93.5547 loss_bbox: 0.1757 loss_mask: 0.1997 2024/01/14 13:03:03 - mmengine - INFO - Epoch(train) [11][ 800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:36:26 time: 1.1964 data_time: 0.0550 memory: 14328 loss: 0.5242 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0353 loss_cls: 0.1194 acc: 94.9219 loss_bbox: 0.1814 loss_mask: 0.1802 2024/01/14 13:04:04 - mmengine - INFO - Epoch(train) [11][ 850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:35:26 time: 1.2335 data_time: 0.0537 memory: 14741 loss: 0.5579 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0321 loss_cls: 0.1247 acc: 90.2344 loss_bbox: 0.2074 loss_mask: 0.1859 2024/01/14 13:05:04 - mmengine - INFO - Epoch(train) [11][ 900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:34:27 time: 1.2005 data_time: 0.0545 memory: 14472 loss: 0.4955 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0305 loss_cls: 0.1208 acc: 97.4609 loss_bbox: 0.1707 loss_mask: 0.1658 2024/01/14 13:06:04 - mmengine - INFO - Epoch(train) [11][ 950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:33:27 time: 1.1873 data_time: 0.0522 memory: 14950 loss: 0.4264 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0216 loss_cls: 0.0937 acc: 99.8047 loss_bbox: 0.1499 loss_mask: 0.1541 2024/01/14 13:07:05 - mmengine - INFO - Epoch(train) [11][1000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:32:27 time: 1.2145 data_time: 0.0594 memory: 14424 loss: 0.5114 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0323 loss_cls: 0.1252 acc: 95.7031 loss_bbox: 0.1599 loss_mask: 0.1829 2024/01/14 13:08:03 - mmengine - INFO - Epoch(train) [11][1050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:31:27 time: 1.1598 data_time: 0.0503 memory: 14950 loss: 0.4052 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0235 loss_cls: 0.0902 acc: 99.8047 loss_bbox: 0.1432 loss_mask: 0.1429 2024/01/14 13:09:02 - mmengine - INFO - Epoch(train) [11][1100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:30:27 time: 1.1937 data_time: 0.0633 memory: 14720 loss: 0.5309 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0316 loss_cls: 0.1266 acc: 86.3281 loss_bbox: 0.1843 loss_mask: 0.1791 2024/01/14 13:10:03 - mmengine - INFO - Epoch(train) [11][1150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:29:27 time: 1.2057 data_time: 0.0527 memory: 14424 loss: 0.4193 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0273 loss_cls: 0.0905 acc: 99.4141 loss_bbox: 0.1384 loss_mask: 0.1538 2024/01/14 13:11:03 - mmengine - INFO - Epoch(train) [11][1200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:28:27 time: 1.2055 data_time: 0.0513 memory: 14145 loss: 0.4520 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0314 loss_cls: 0.1085 acc: 96.0938 loss_bbox: 0.1494 loss_mask: 0.1553 2024/01/14 13:12:03 - mmengine - INFO - Epoch(train) [11][1250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:27:28 time: 1.1992 data_time: 0.0537 memory: 14423 loss: 0.4842 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0284 loss_cls: 0.1036 acc: 91.6016 loss_bbox: 0.1636 loss_mask: 0.1785 2024/01/14 13:13:03 - mmengine - INFO - Epoch(train) [11][1300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:26:28 time: 1.2091 data_time: 0.0520 memory: 14424 loss: 0.5243 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0318 loss_cls: 0.1157 acc: 98.6328 loss_bbox: 0.1876 loss_mask: 0.1784 2024/01/14 13:14:03 - mmengine - INFO - Epoch(train) [11][1350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:25:28 time: 1.1979 data_time: 0.0607 memory: 14423 loss: 0.5446 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0348 loss_cls: 0.1359 acc: 99.4141 loss_bbox: 0.1777 loss_mask: 0.1816 2024/01/14 13:15:02 - mmengine - INFO - Epoch(train) [11][1400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:24:28 time: 1.1830 data_time: 0.0535 memory: 14889 loss: 0.5464 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0382 loss_cls: 0.1369 acc: 99.6094 loss_bbox: 0.1794 loss_mask: 0.1767 2024/01/14 13:16:02 - mmengine - INFO - Epoch(train) [11][1450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:23:28 time: 1.1874 data_time: 0.0497 memory: 14424 loss: 0.3813 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0175 loss_cls: 0.0818 acc: 99.6094 loss_bbox: 0.1227 loss_mask: 0.1524 2024/01/14 13:17:02 - mmengine - INFO - Epoch(train) [11][1500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:22:28 time: 1.1967 data_time: 0.0555 memory: 14423 loss: 0.5267 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0302 loss_cls: 0.1292 acc: 90.8203 loss_bbox: 0.1891 loss_mask: 0.1693 2024/01/14 13:18:01 - mmengine - INFO - Epoch(train) [11][1550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:21:29 time: 1.1946 data_time: 0.0557 memory: 14954 loss: 0.5486 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0293 loss_cls: 0.1288 acc: 98.2422 loss_bbox: 0.2008 loss_mask: 0.1807 2024/01/14 13:19:01 - mmengine - INFO - Epoch(train) [11][1600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:20:29 time: 1.2025 data_time: 0.0627 memory: 14423 loss: 0.5414 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0405 loss_cls: 0.1233 acc: 94.7266 loss_bbox: 0.1760 loss_mask: 0.1910 2024/01/14 13:20:01 - mmengine - INFO - Epoch(train) [11][1650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:19:29 time: 1.1957 data_time: 0.0549 memory: 14654 loss: 0.4764 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0247 loss_cls: 0.1094 acc: 99.2188 loss_bbox: 0.1656 loss_mask: 0.1714 2024/01/14 13:21:01 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 13:21:01 - mmengine - INFO - Epoch(train) [11][1700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:18:29 time: 1.1973 data_time: 0.0536 memory: 14954 loss: 0.5374 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0291 loss_cls: 0.1315 acc: 90.4297 loss_bbox: 0.1826 loss_mask: 0.1866 2024/01/14 13:22:00 - mmengine - INFO - Epoch(train) [11][1750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:17:29 time: 1.1797 data_time: 0.0603 memory: 14472 loss: 0.4746 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0286 loss_cls: 0.1180 acc: 100.0000 loss_bbox: 0.1622 loss_mask: 0.1571 2024/01/14 13:23:00 - mmengine - INFO - Epoch(train) [11][1800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:16:29 time: 1.1988 data_time: 0.0624 memory: 14472 loss: 0.5429 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0316 loss_cls: 0.1259 acc: 98.6328 loss_bbox: 0.1921 loss_mask: 0.1831 2024/01/14 13:24:00 - mmengine - INFO - Epoch(train) [11][1850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:15:29 time: 1.1990 data_time: 0.0510 memory: 14423 loss: 0.4437 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0294 loss_cls: 0.0989 acc: 86.5234 loss_bbox: 0.1445 loss_mask: 0.1628 2024/01/14 13:24:59 - mmengine - INFO - Epoch(train) [11][1900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:14:30 time: 1.1870 data_time: 0.0526 memory: 14950 loss: 0.4942 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0273 loss_cls: 0.1142 acc: 92.1875 loss_bbox: 0.1698 loss_mask: 0.1741 2024/01/14 13:25:59 - mmengine - INFO - Epoch(train) [11][1950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:13:30 time: 1.1868 data_time: 0.0572 memory: 14954 loss: 0.5599 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0361 loss_cls: 0.1338 acc: 97.8516 loss_bbox: 0.1962 loss_mask: 0.1851 2024/01/14 13:26:58 - mmengine - INFO - Epoch(train) [11][2000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:12:30 time: 1.1853 data_time: 0.0529 memory: 14041 loss: 0.5139 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0322 loss_cls: 0.1215 acc: 96.0938 loss_bbox: 0.1717 loss_mask: 0.1790 2024/01/14 13:27:58 - mmengine - INFO - Epoch(train) [11][2050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:11:30 time: 1.1901 data_time: 0.0517 memory: 14423 loss: 0.5273 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0350 loss_cls: 0.1228 acc: 90.0391 loss_bbox: 0.1767 loss_mask: 0.1821 2024/01/14 13:28:58 - mmengine - INFO - Epoch(train) [11][2100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:10:30 time: 1.2037 data_time: 0.0444 memory: 14472 loss: 0.4832 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0307 loss_cls: 0.1111 acc: 97.2656 loss_bbox: 0.1682 loss_mask: 0.1633 2024/01/14 13:29:58 - mmengine - INFO - Epoch(train) [11][2150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:09:30 time: 1.1965 data_time: 0.0534 memory: 14875 loss: 0.5557 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0339 loss_cls: 0.1269 acc: 89.2578 loss_bbox: 0.1975 loss_mask: 0.1865 2024/01/14 13:30:57 - mmengine - INFO - Epoch(train) [11][2200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:08:30 time: 1.1882 data_time: 0.0490 memory: 14954 loss: 0.4414 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0270 loss_cls: 0.0904 acc: 91.4062 loss_bbox: 0.1429 loss_mask: 0.1736 2024/01/14 13:31:57 - mmengine - INFO - Epoch(train) [11][2250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:07:30 time: 1.1942 data_time: 0.0512 memory: 14658 loss: 0.5239 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0314 loss_cls: 0.1206 acc: 91.0156 loss_bbox: 0.1783 loss_mask: 0.1842 2024/01/14 13:32:57 - mmengine - INFO - Epoch(train) [11][2300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:06:31 time: 1.2066 data_time: 0.0520 memory: 14686 loss: 0.5205 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0263 loss_cls: 0.1238 acc: 99.0234 loss_bbox: 0.1819 loss_mask: 0.1773 2024/01/14 13:33:56 - mmengine - INFO - Epoch(train) [11][2350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:05:31 time: 1.1857 data_time: 0.0578 memory: 14323 loss: 0.4675 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0266 loss_cls: 0.1132 acc: 99.4141 loss_bbox: 0.1619 loss_mask: 0.1590 2024/01/14 13:34:55 - mmengine - INFO - Epoch(train) [11][2400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:04:31 time: 1.1754 data_time: 0.0589 memory: 14472 loss: 0.4711 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0271 loss_cls: 0.1084 acc: 98.8281 loss_bbox: 0.1657 loss_mask: 0.1628 2024/01/14 13:35:54 - mmengine - INFO - Epoch(train) [11][2450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:03:31 time: 1.1746 data_time: 0.0547 memory: 14328 loss: 0.4876 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0293 loss_cls: 0.1064 acc: 97.8516 loss_bbox: 0.1560 loss_mask: 0.1802 2024/01/14 13:36:54 - mmengine - INFO - Epoch(train) [11][2500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:02:31 time: 1.1961 data_time: 0.0469 memory: 14951 loss: 0.4344 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0234 loss_cls: 0.0871 acc: 95.7031 loss_bbox: 0.1500 loss_mask: 0.1682 2024/01/14 13:37:53 - mmengine - INFO - Epoch(train) [11][2550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:01:31 time: 1.1871 data_time: 0.0513 memory: 13952 loss: 0.4656 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0344 loss_cls: 0.0978 acc: 99.4141 loss_bbox: 0.1556 loss_mask: 0.1709 2024/01/14 13:38:55 - mmengine - INFO - Epoch(train) [11][2600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:00:31 time: 1.2357 data_time: 0.0574 memory: 14472 loss: 0.5100 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0291 loss_cls: 0.1208 acc: 98.6328 loss_bbox: 0.1720 loss_mask: 0.1778 2024/01/14 13:39:55 - mmengine - INFO - Epoch(train) [11][2650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:59:32 time: 1.1972 data_time: 0.0520 memory: 14939 loss: 0.4467 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0270 loss_cls: 0.0938 acc: 99.4141 loss_bbox: 0.1554 loss_mask: 0.1624 2024/01/14 13:40:54 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 13:40:54 - mmengine - INFO - Epoch(train) [11][2700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:58:32 time: 1.1799 data_time: 0.0623 memory: 14472 loss: 0.5254 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0373 loss_cls: 0.1232 acc: 96.4844 loss_bbox: 0.1868 loss_mask: 0.1675 2024/01/14 13:41:53 - mmengine - INFO - Epoch(train) [11][2750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:57:32 time: 1.1925 data_time: 0.0545 memory: 14561 loss: 0.5147 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0291 loss_cls: 0.1233 acc: 93.3594 loss_bbox: 0.1760 loss_mask: 0.1750 2024/01/14 13:42:53 - mmengine - INFO - Epoch(train) [11][2800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:56:32 time: 1.1924 data_time: 0.0605 memory: 14469 loss: 0.5655 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0346 loss_cls: 0.1427 acc: 93.9453 loss_bbox: 0.1954 loss_mask: 0.1834 2024/01/14 13:43:53 - mmengine - INFO - Epoch(train) [11][2850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:55:32 time: 1.1921 data_time: 0.0487 memory: 14572 loss: 0.4101 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0207 loss_cls: 0.0861 acc: 91.7969 loss_bbox: 0.1414 loss_mask: 0.1570 2024/01/14 13:44:53 - mmengine - INFO - Epoch(train) [11][2900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:54:32 time: 1.1996 data_time: 0.0597 memory: 14953 loss: 0.5677 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0333 loss_cls: 0.1416 acc: 100.0000 loss_bbox: 0.1924 loss_mask: 0.1892 2024/01/14 13:45:53 - mmengine - INFO - Epoch(train) [11][2950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:53:33 time: 1.2125 data_time: 0.0556 memory: 14501 loss: 0.5311 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0346 loss_cls: 0.1192 acc: 97.4609 loss_bbox: 0.1861 loss_mask: 0.1826 2024/01/14 13:46:53 - mmengine - INFO - Epoch(train) [11][3000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:52:33 time: 1.2006 data_time: 0.0583 memory: 14472 loss: 0.5233 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0290 loss_cls: 0.1333 acc: 82.8125 loss_bbox: 0.1841 loss_mask: 0.1696 2024/01/14 13:47:53 - mmengine - INFO - Epoch(train) [11][3050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:51:33 time: 1.2019 data_time: 0.0446 memory: 14655 loss: 0.4518 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0225 loss_cls: 0.0986 acc: 99.2188 loss_bbox: 0.1578 loss_mask: 0.1646 2024/01/14 13:48:53 - mmengine - INFO - Epoch(train) [11][3100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:50:33 time: 1.1936 data_time: 0.0575 memory: 14951 loss: 0.4927 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0296 loss_cls: 0.1133 acc: 94.3359 loss_bbox: 0.1635 loss_mask: 0.1788 2024/01/14 13:49:52 - mmengine - INFO - Epoch(train) [11][3150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:49:33 time: 1.1815 data_time: 0.0508 memory: 14038 loss: 0.4953 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0280 loss_cls: 0.1149 acc: 97.8516 loss_bbox: 0.1669 loss_mask: 0.1783 2024/01/14 13:50:52 - mmengine - INFO - Epoch(train) [11][3200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:48:33 time: 1.2053 data_time: 0.0574 memory: 14472 loss: 0.5377 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0343 loss_cls: 0.1201 acc: 99.8047 loss_bbox: 0.1800 loss_mask: 0.1938 2024/01/14 13:51:52 - mmengine - INFO - Epoch(train) [11][3250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:47:33 time: 1.1874 data_time: 0.0676 memory: 13952 loss: 0.5526 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0287 loss_cls: 0.1337 acc: 94.5312 loss_bbox: 0.1872 loss_mask: 0.1945 2024/01/14 13:52:53 - mmengine - INFO - Epoch(train) [11][3300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:46:34 time: 1.2171 data_time: 0.0638 memory: 14545 loss: 0.5617 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0372 loss_cls: 0.1287 acc: 92.7734 loss_bbox: 0.1901 loss_mask: 0.1955 2024/01/14 13:53:54 - mmengine - INFO - Epoch(train) [11][3350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:45:34 time: 1.2314 data_time: 0.0492 memory: 14954 loss: 0.4573 loss_rpn_cls: 0.0064 loss_rpn_bbox: 0.0280 loss_cls: 0.1003 acc: 84.3750 loss_bbox: 0.1625 loss_mask: 0.1602 2024/01/14 13:54:54 - mmengine - INFO - Epoch(train) [11][3400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:44:34 time: 1.1939 data_time: 0.0665 memory: 14469 loss: 0.5271 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0372 loss_cls: 0.1258 acc: 99.6094 loss_bbox: 0.1792 loss_mask: 0.1702 2024/01/14 13:55:55 - mmengine - INFO - Epoch(train) [11][3450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:43:35 time: 1.2094 data_time: 0.0531 memory: 14673 loss: 0.5279 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0352 loss_cls: 0.1192 acc: 96.6797 loss_bbox: 0.1829 loss_mask: 0.1815 2024/01/14 13:56:54 - mmengine - INFO - Epoch(train) [11][3500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:42:35 time: 1.1904 data_time: 0.0511 memory: 14954 loss: 0.4904 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0309 loss_cls: 0.1253 acc: 99.4141 loss_bbox: 0.1601 loss_mask: 0.1624 2024/01/14 13:57:54 - mmengine - INFO - Epoch(train) [11][3550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:41:35 time: 1.2046 data_time: 0.0607 memory: 14306 loss: 0.4963 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0290 loss_cls: 0.1119 acc: 98.0469 loss_bbox: 0.1766 loss_mask: 0.1734 2024/01/14 13:58:54 - mmengine - INFO - Epoch(train) [11][3600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:40:35 time: 1.1910 data_time: 0.0540 memory: 14215 loss: 0.4928 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0251 loss_cls: 0.1196 acc: 81.6406 loss_bbox: 0.1695 loss_mask: 0.1709 2024/01/14 13:59:53 - mmengine - INFO - Epoch(train) [11][3650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:39:35 time: 1.1851 data_time: 0.0504 memory: 13964 loss: 0.5490 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0289 loss_cls: 0.1340 acc: 97.4609 loss_bbox: 0.1826 loss_mask: 0.1929 2024/01/14 14:00:52 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 14:00:52 - mmengine - INFO - Epoch(train) [11][3700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:38:35 time: 1.1787 data_time: 0.0578 memory: 14472 loss: 0.5481 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0345 loss_cls: 0.1368 acc: 99.2188 loss_bbox: 0.1753 loss_mask: 0.1844 2024/01/14 14:01:51 - mmengine - INFO - Epoch(train) [11][3750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:37:35 time: 1.1820 data_time: 0.0539 memory: 14472 loss: 0.4649 loss_rpn_cls: 0.0047 loss_rpn_bbox: 0.0258 loss_cls: 0.1128 acc: 98.4375 loss_bbox: 0.1492 loss_mask: 0.1723 2024/01/14 14:02:51 - mmengine - INFO - Epoch(train) [11][3800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:36:35 time: 1.1983 data_time: 0.0549 memory: 14577 loss: 0.4541 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0256 loss_cls: 0.1025 acc: 80.6641 loss_bbox: 0.1556 loss_mask: 0.1632 2024/01/14 14:03:50 - mmengine - INFO - Epoch(train) [11][3850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:35:36 time: 1.1868 data_time: 0.0519 memory: 14954 loss: 0.5021 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0272 loss_cls: 0.1179 acc: 95.3125 loss_bbox: 0.1750 loss_mask: 0.1752 2024/01/14 14:04:50 - mmengine - INFO - Epoch(train) [11][3900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:34:36 time: 1.1900 data_time: 0.0519 memory: 14751 loss: 0.5142 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0378 loss_cls: 0.1135 acc: 99.0234 loss_bbox: 0.1730 loss_mask: 0.1799 2024/01/14 14:05:50 - mmengine - INFO - Epoch(train) [11][3950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:33:36 time: 1.1973 data_time: 0.0400 memory: 14394 loss: 0.3830 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0194 loss_cls: 0.0808 acc: 99.8047 loss_bbox: 0.1329 loss_mask: 0.1426 2024/01/14 14:06:50 - mmengine - INFO - Epoch(train) [11][4000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:32:36 time: 1.1938 data_time: 0.0490 memory: 14951 loss: 0.5001 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0299 loss_cls: 0.1123 acc: 97.2656 loss_bbox: 0.1642 loss_mask: 0.1826 2024/01/14 14:07:49 - mmengine - INFO - Epoch(train) [11][4050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:31:36 time: 1.1901 data_time: 0.0578 memory: 14134 loss: 0.5416 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0351 loss_cls: 0.1165 acc: 88.8672 loss_bbox: 0.1807 loss_mask: 0.1999 2024/01/14 14:08:49 - mmengine - INFO - Epoch(train) [11][4100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:30:36 time: 1.1935 data_time: 0.0456 memory: 14601 loss: 0.4538 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0255 loss_cls: 0.1064 acc: 97.0703 loss_bbox: 0.1562 loss_mask: 0.1568 2024/01/14 14:09:49 - mmengine - INFO - Epoch(train) [11][4150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:29:36 time: 1.2059 data_time: 0.0545 memory: 14041 loss: 0.4944 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0293 loss_cls: 0.1243 acc: 95.1172 loss_bbox: 0.1697 loss_mask: 0.1634 2024/01/14 14:10:49 - mmengine - INFO - Epoch(train) [11][4200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:28:37 time: 1.1966 data_time: 0.0498 memory: 14041 loss: 0.4245 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0267 loss_cls: 0.0909 acc: 91.9922 loss_bbox: 0.1468 loss_mask: 0.1544 2024/01/14 14:11:50 - mmengine - INFO - Epoch(train) [11][4250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:27:37 time: 1.2134 data_time: 0.0619 memory: 14472 loss: 0.5167 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0304 loss_cls: 0.1095 acc: 92.7734 loss_bbox: 0.1796 loss_mask: 0.1905 2024/01/14 14:12:49 - mmengine - INFO - Epoch(train) [11][4300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:26:37 time: 1.1885 data_time: 0.0578 memory: 14747 loss: 0.5303 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0355 loss_cls: 0.1215 acc: 96.2891 loss_bbox: 0.1833 loss_mask: 0.1804 2024/01/14 14:13:49 - mmengine - INFO - Epoch(train) [11][4350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:25:37 time: 1.1931 data_time: 0.0506 memory: 14049 loss: 0.5613 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0347 loss_cls: 0.1231 acc: 91.7969 loss_bbox: 0.1973 loss_mask: 0.2001 2024/01/14 14:14:48 - mmengine - INFO - Epoch(train) [11][4400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:24:37 time: 1.1911 data_time: 0.0578 memory: 13952 loss: 0.5074 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0308 loss_cls: 0.1206 acc: 98.2422 loss_bbox: 0.1731 loss_mask: 0.1754 2024/01/14 14:15:47 - mmengine - INFO - Epoch(train) [11][4450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:23:37 time: 1.1746 data_time: 0.0464 memory: 14472 loss: 0.4271 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0237 loss_cls: 0.0937 acc: 97.4609 loss_bbox: 0.1429 loss_mask: 0.1607 2024/01/14 14:16:47 - mmengine - INFO - Epoch(train) [11][4500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:22:37 time: 1.1959 data_time: 0.0516 memory: 14472 loss: 0.4677 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0279 loss_cls: 0.1110 acc: 98.8281 loss_bbox: 0.1558 loss_mask: 0.1613 2024/01/14 14:17:47 - mmengine - INFO - Epoch(train) [11][4550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:21:38 time: 1.2018 data_time: 0.0430 memory: 14134 loss: 0.4499 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0178 loss_cls: 0.1045 acc: 86.3281 loss_bbox: 0.1500 loss_mask: 0.1690 2024/01/14 14:18:46 - mmengine - INFO - Epoch(train) [11][4600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:20:38 time: 1.1848 data_time: 0.0536 memory: 14658 loss: 0.4903 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0348 loss_cls: 0.1121 acc: 100.0000 loss_bbox: 0.1694 loss_mask: 0.1646 2024/01/14 14:19:45 - mmengine - INFO - Epoch(train) [11][4650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:19:38 time: 1.1780 data_time: 0.0519 memory: 14423 loss: 0.4659 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0221 loss_cls: 0.0997 acc: 99.8047 loss_bbox: 0.1625 loss_mask: 0.1723 2024/01/14 14:20:44 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 14:20:44 - mmengine - INFO - Epoch(train) [11][4700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:18:38 time: 1.1785 data_time: 0.0484 memory: 13771 loss: 0.4310 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0262 loss_cls: 0.0928 acc: 99.2188 loss_bbox: 0.1386 loss_mask: 0.1671 2024/01/14 14:21:45 - mmengine - INFO - Epoch(train) [11][4750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:17:38 time: 1.2153 data_time: 0.0521 memory: 14218 loss: 0.4967 loss_rpn_cls: 0.0072 loss_rpn_bbox: 0.0290 loss_cls: 0.1092 acc: 97.4609 loss_bbox: 0.1721 loss_mask: 0.1792 2024/01/14 14:22:45 - mmengine - INFO - Epoch(train) [11][4800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:16:38 time: 1.2075 data_time: 0.0661 memory: 14950 loss: 0.5003 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0297 loss_cls: 0.1140 acc: 93.7500 loss_bbox: 0.1768 loss_mask: 0.1731 2024/01/14 14:23:45 - mmengine - INFO - Epoch(train) [11][4850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:15:39 time: 1.2036 data_time: 0.0546 memory: 14472 loss: 0.4325 loss_rpn_cls: 0.0048 loss_rpn_bbox: 0.0243 loss_cls: 0.0913 acc: 98.6328 loss_bbox: 0.1445 loss_mask: 0.1677 2024/01/14 14:24:45 - mmengine - INFO - Epoch(train) [11][4900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:14:39 time: 1.1968 data_time: 0.0578 memory: 14472 loss: 0.4814 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0305 loss_cls: 0.1234 acc: 97.2656 loss_bbox: 0.1552 loss_mask: 0.1644 2024/01/14 14:25:47 - mmengine - INFO - Epoch(train) [11][4950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:13:39 time: 1.2270 data_time: 0.0594 memory: 14423 loss: 0.4603 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0331 loss_cls: 0.1003 acc: 97.0703 loss_bbox: 0.1461 loss_mask: 0.1720 2024/01/14 14:26:47 - mmengine - INFO - Epoch(train) [11][5000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:12:39 time: 1.1991 data_time: 0.0490 memory: 14472 loss: 0.4117 loss_rpn_cls: 0.0047 loss_rpn_bbox: 0.0206 loss_cls: 0.0853 acc: 90.6250 loss_bbox: 0.1370 loss_mask: 0.1641 2024/01/14 14:27:46 - mmengine - INFO - Epoch(train) [11][5050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:11:39 time: 1.1944 data_time: 0.0651 memory: 14882 loss: 0.5440 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0267 loss_cls: 0.1279 acc: 91.4062 loss_bbox: 0.2024 loss_mask: 0.1803 2024/01/14 14:28:47 - mmengine - INFO - Epoch(train) [11][5100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:10:40 time: 1.2071 data_time: 0.0528 memory: 14472 loss: 0.4813 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0290 loss_cls: 0.1109 acc: 97.4609 loss_bbox: 0.1660 loss_mask: 0.1642 2024/01/14 14:29:47 - mmengine - INFO - Epoch(train) [11][5150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:09:40 time: 1.2094 data_time: 0.0507 memory: 14472 loss: 0.4679 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0270 loss_cls: 0.1130 acc: 91.0156 loss_bbox: 0.1556 loss_mask: 0.1639 2024/01/14 14:30:47 - mmengine - INFO - Epoch(train) [11][5200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:08:40 time: 1.1930 data_time: 0.0545 memory: 14376 loss: 0.4607 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0248 loss_cls: 0.0989 acc: 99.4141 loss_bbox: 0.1509 loss_mask: 0.1799 2024/01/14 14:31:47 - mmengine - INFO - Epoch(train) [11][5250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:07:40 time: 1.2062 data_time: 0.0476 memory: 14954 loss: 0.4170 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0250 loss_cls: 0.0960 acc: 83.9844 loss_bbox: 0.1286 loss_mask: 0.1596 2024/01/14 14:32:47 - mmengine - INFO - Epoch(train) [11][5300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:06:40 time: 1.2020 data_time: 0.0521 memory: 14469 loss: 0.5158 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0278 loss_cls: 0.1171 acc: 99.2188 loss_bbox: 0.1781 loss_mask: 0.1827 2024/01/14 14:33:47 - mmengine - INFO - Epoch(train) [11][5350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:05:41 time: 1.1983 data_time: 0.0606 memory: 14424 loss: 0.5215 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0340 loss_cls: 0.1204 acc: 91.4062 loss_bbox: 0.1754 loss_mask: 0.1827 2024/01/14 14:34:47 - mmengine - INFO - Epoch(train) [11][5400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:04:41 time: 1.1914 data_time: 0.0513 memory: 14134 loss: 0.4290 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0241 loss_cls: 0.0964 acc: 99.4141 loss_bbox: 0.1376 loss_mask: 0.1642 2024/01/14 14:35:47 - mmengine - INFO - Epoch(train) [11][5450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:03:41 time: 1.2071 data_time: 0.0560 memory: 14041 loss: 0.4635 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0255 loss_cls: 0.0995 acc: 95.1172 loss_bbox: 0.1551 loss_mask: 0.1745 2024/01/14 14:36:47 - mmengine - INFO - Epoch(train) [11][5500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:02:41 time: 1.1998 data_time: 0.0666 memory: 13823 loss: 0.4753 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0305 loss_cls: 0.1064 acc: 91.4062 loss_bbox: 0.1590 loss_mask: 0.1718 2024/01/14 14:37:48 - mmengine - INFO - Epoch(train) [11][5550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:01:41 time: 1.2072 data_time: 0.0512 memory: 13771 loss: 0.5144 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0255 loss_cls: 0.1170 acc: 95.1172 loss_bbox: 0.1872 loss_mask: 0.1789 2024/01/14 14:38:48 - mmengine - INFO - Epoch(train) [11][5600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3:00:42 time: 1.2009 data_time: 0.0456 memory: 14131 loss: 0.4749 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0276 loss_cls: 0.1115 acc: 100.0000 loss_bbox: 0.1572 loss_mask: 0.1694 2024/01/14 14:39:47 - mmengine - INFO - Epoch(train) [11][5650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:59:42 time: 1.1966 data_time: 0.0505 memory: 13908 loss: 0.4063 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0207 loss_cls: 0.0933 acc: 100.0000 loss_bbox: 0.1238 loss_mask: 0.1630 2024/01/14 14:40:48 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 14:40:48 - mmengine - INFO - Epoch(train) [11][5700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:58:42 time: 1.2142 data_time: 0.0508 memory: 14597 loss: 0.4768 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0246 loss_cls: 0.1111 acc: 98.6328 loss_bbox: 0.1568 loss_mask: 0.1768 2024/01/14 14:41:48 - mmengine - INFO - Epoch(train) [11][5750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:57:42 time: 1.1948 data_time: 0.0486 memory: 14954 loss: 0.4620 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0284 loss_cls: 0.1016 acc: 96.6797 loss_bbox: 0.1542 loss_mask: 0.1718 2024/01/14 14:42:49 - mmengine - INFO - Epoch(train) [11][5800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:56:42 time: 1.2126 data_time: 0.0578 memory: 14422 loss: 0.5092 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0263 loss_cls: 0.1183 acc: 88.4766 loss_bbox: 0.1739 loss_mask: 0.1812 2024/01/14 14:43:49 - mmengine - INFO - Epoch(train) [11][5850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:55:43 time: 1.2045 data_time: 0.0647 memory: 14653 loss: 0.6298 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0397 loss_cls: 0.1591 acc: 84.9609 loss_bbox: 0.2144 loss_mask: 0.2049 2024/01/14 14:44:48 - mmengine - INFO - Epoch(train) [11][5900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:54:43 time: 1.1873 data_time: 0.0597 memory: 14041 loss: 0.4830 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0305 loss_cls: 0.1164 acc: 90.4297 loss_bbox: 0.1564 loss_mask: 0.1668 2024/01/14 14:45:48 - mmengine - INFO - Epoch(train) [11][5950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:53:43 time: 1.1969 data_time: 0.0546 memory: 14472 loss: 0.4626 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0242 loss_cls: 0.0991 acc: 99.6094 loss_bbox: 0.1542 loss_mask: 0.1759 2024/01/14 14:46:49 - mmengine - INFO - Epoch(train) [11][6000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:52:43 time: 1.2175 data_time: 0.0580 memory: 14581 loss: 0.5037 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0289 loss_cls: 0.1194 acc: 91.7969 loss_bbox: 0.1712 loss_mask: 0.1744 2024/01/14 14:47:49 - mmengine - INFO - Epoch(train) [11][6050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:51:43 time: 1.1947 data_time: 0.0568 memory: 13953 loss: 0.5361 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0379 loss_cls: 0.1291 acc: 93.9453 loss_bbox: 0.1865 loss_mask: 0.1736 2024/01/14 14:48:48 - mmengine - INFO - Epoch(train) [11][6100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:50:44 time: 1.1950 data_time: 0.0545 memory: 14037 loss: 0.5052 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0304 loss_cls: 0.1088 acc: 94.5312 loss_bbox: 0.1703 loss_mask: 0.1857 2024/01/14 14:49:48 - mmengine - INFO - Epoch(train) [11][6150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:49:44 time: 1.1998 data_time: 0.0477 memory: 14472 loss: 0.4514 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0254 loss_cls: 0.1037 acc: 100.0000 loss_bbox: 0.1479 loss_mask: 0.1676 2024/01/14 14:50:49 - mmengine - INFO - Epoch(train) [11][6200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:48:44 time: 1.2208 data_time: 0.0529 memory: 13811 loss: 0.4565 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0304 loss_cls: 0.1086 acc: 92.5781 loss_bbox: 0.1465 loss_mask: 0.1614 2024/01/14 14:51:49 - mmengine - INFO - Epoch(train) [11][6250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:47:44 time: 1.1924 data_time: 0.0597 memory: 13994 loss: 0.4915 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0256 loss_cls: 0.1037 acc: 91.0156 loss_bbox: 0.1713 loss_mask: 0.1835 2024/01/14 14:52:49 - mmengine - INFO - Epoch(train) [11][6300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:46:44 time: 1.1905 data_time: 0.0606 memory: 14471 loss: 0.5543 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0315 loss_cls: 0.1308 acc: 94.7266 loss_bbox: 0.1933 loss_mask: 0.1902 2024/01/14 14:53:48 - mmengine - INFO - Epoch(train) [11][6350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:45:44 time: 1.1916 data_time: 0.0615 memory: 14134 loss: 0.5619 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0359 loss_cls: 0.1393 acc: 96.8750 loss_bbox: 0.1906 loss_mask: 0.1856 2024/01/14 14:54:49 - mmengine - INFO - Epoch(train) [11][6400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:44:45 time: 1.2086 data_time: 0.0547 memory: 13974 loss: 0.5289 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0232 loss_cls: 0.1265 acc: 96.8750 loss_bbox: 0.1873 loss_mask: 0.1826 2024/01/14 14:55:48 - mmengine - INFO - Epoch(train) [11][6450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:43:45 time: 1.1794 data_time: 0.0583 memory: 13919 loss: 0.5079 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0310 loss_cls: 0.1262 acc: 97.2656 loss_bbox: 0.1666 loss_mask: 0.1701 2024/01/14 14:56:47 - mmengine - INFO - Epoch(train) [11][6500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:42:45 time: 1.1935 data_time: 0.0541 memory: 14432 loss: 0.4496 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0192 loss_cls: 0.1017 acc: 91.9922 loss_bbox: 0.1527 loss_mask: 0.1703 2024/01/14 14:57:47 - mmengine - INFO - Epoch(train) [11][6550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:41:45 time: 1.2004 data_time: 0.0536 memory: 14134 loss: 0.4868 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0261 loss_cls: 0.1241 acc: 95.1172 loss_bbox: 0.1620 loss_mask: 0.1651 2024/01/14 14:58:46 - mmengine - INFO - Epoch(train) [11][6600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:40:45 time: 1.1748 data_time: 0.0522 memory: 13952 loss: 0.4758 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0302 loss_cls: 0.1167 acc: 99.6094 loss_bbox: 0.1583 loss_mask: 0.1603 2024/01/14 14:59:46 - mmengine - INFO - Epoch(train) [11][6650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:39:45 time: 1.1977 data_time: 0.0556 memory: 13952 loss: 0.4825 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0304 loss_cls: 0.1112 acc: 95.8984 loss_bbox: 0.1551 loss_mask: 0.1765 2024/01/14 15:00:47 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 15:00:47 - mmengine - INFO - Epoch(train) [11][6700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:38:46 time: 1.2197 data_time: 0.0589 memory: 14134 loss: 0.4980 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0279 loss_cls: 0.1259 acc: 97.8516 loss_bbox: 0.1698 loss_mask: 0.1654 2024/01/14 15:01:46 - mmengine - INFO - Epoch(train) [11][6750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:37:46 time: 1.1884 data_time: 0.0475 memory: 14439 loss: 0.4877 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0268 loss_cls: 0.1066 acc: 99.0234 loss_bbox: 0.1618 loss_mask: 0.1809 2024/01/14 15:02:47 - mmengine - INFO - Epoch(train) [11][6800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:36:46 time: 1.2100 data_time: 0.0625 memory: 14472 loss: 0.5655 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0343 loss_cls: 0.1394 acc: 99.0234 loss_bbox: 0.1996 loss_mask: 0.1829 2024/01/14 15:03:47 - mmengine - INFO - Epoch(train) [11][6850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:35:46 time: 1.1926 data_time: 0.0565 memory: 13771 loss: 0.5312 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0294 loss_cls: 0.1286 acc: 98.8281 loss_bbox: 0.1849 loss_mask: 0.1779 2024/01/14 15:04:46 - mmengine - INFO - Epoch(train) [11][6900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:34:46 time: 1.1843 data_time: 0.0513 memory: 14225 loss: 0.5744 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0343 loss_cls: 0.1398 acc: 88.4766 loss_bbox: 0.2012 loss_mask: 0.1868 2024/01/14 15:05:46 - mmengine - INFO - Epoch(train) [11][6950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:33:46 time: 1.2108 data_time: 0.0658 memory: 14611 loss: 0.5544 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0319 loss_cls: 0.1296 acc: 98.2422 loss_bbox: 0.1912 loss_mask: 0.1942 2024/01/14 15:06:46 - mmengine - INFO - Epoch(train) [11][7000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:32:47 time: 1.1964 data_time: 0.0462 memory: 14520 loss: 0.4327 loss_rpn_cls: 0.0046 loss_rpn_bbox: 0.0198 loss_cls: 0.1005 acc: 95.5078 loss_bbox: 0.1429 loss_mask: 0.1650 2024/01/14 15:07:47 - mmengine - INFO - Epoch(train) [11][7050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:31:47 time: 1.2114 data_time: 0.0523 memory: 14137 loss: 0.5522 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0301 loss_cls: 0.1392 acc: 99.0234 loss_bbox: 0.1928 loss_mask: 0.1807 2024/01/14 15:08:46 - mmengine - INFO - Epoch(train) [11][7100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:30:47 time: 1.1926 data_time: 0.0592 memory: 14472 loss: 0.5052 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0322 loss_cls: 0.1220 acc: 99.0234 loss_bbox: 0.1625 loss_mask: 0.1761 2024/01/14 15:09:47 - mmengine - INFO - Epoch(train) [11][7150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:29:47 time: 1.2028 data_time: 0.0547 memory: 14951 loss: 0.5405 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0284 loss_cls: 0.1186 acc: 97.0703 loss_bbox: 0.1947 loss_mask: 0.1926 2024/01/14 15:10:47 - mmengine - INFO - Epoch(train) [11][7200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:28:47 time: 1.2090 data_time: 0.0579 memory: 14472 loss: 0.5362 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0345 loss_cls: 0.1226 acc: 96.8750 loss_bbox: 0.1750 loss_mask: 0.1913 2024/01/14 15:11:47 - mmengine - INFO - Epoch(train) [11][7250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:27:47 time: 1.1986 data_time: 0.0557 memory: 14472 loss: 0.4866 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0261 loss_cls: 0.1043 acc: 97.6562 loss_bbox: 0.1663 loss_mask: 0.1793 2024/01/14 15:12:46 - mmengine - INFO - Epoch(train) [11][7300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 2:26:48 time: 1.1874 data_time: 0.0532 memory: 14472 loss: 0.5078 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0314 loss_cls: 0.1153 acc: 99.2188 loss_bbox: 0.1765 loss_mask: 0.1747 2024/01/14 15:13:22 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 15:13:22 - mmengine - INFO - Saving checkpoint at 11 epochs 2024/01/14 15:13:39 - mmengine - INFO - Epoch(val) [11][ 50/313] eta: 0:01:01 time: 0.2343 data_time: 0.0314 memory: 13771 2024/01/14 15:13:50 - mmengine - INFO - Epoch(val) [11][100/313] eta: 0:00:49 time: 0.2263 data_time: 0.0223 memory: 3311 2024/01/14 15:14:02 - mmengine - INFO - Epoch(val) [11][150/313] eta: 0:00:37 time: 0.2331 data_time: 0.0334 memory: 3368 2024/01/14 15:14:13 - mmengine - INFO - Epoch(val) [11][200/313] eta: 0:00:26 time: 0.2320 data_time: 0.0281 memory: 3331 2024/01/14 15:14:25 - mmengine - INFO - Epoch(val) [11][250/313] eta: 0:00:14 time: 0.2242 data_time: 0.0271 memory: 3368 2024/01/14 15:14:36 - mmengine - INFO - Epoch(val) [11][300/313] eta: 0:00:02 time: 0.2282 data_time: 0.0266 memory: 3331 2024/01/14 15:14:44 - mmengine - INFO - Evaluating bbox... 2024/01/14 15:15:05 - mmengine - INFO - bbox_mAP_copypaste: 0.486 0.699 0.530 0.313 0.519 0.660 2024/01/14 15:15:05 - mmengine - INFO - Evaluating segm... 2024/01/14 15:15:28 - mmengine - INFO - segm_mAP_copypaste: 0.431 0.669 0.466 0.229 0.461 0.630 2024/01/14 15:15:28 - mmengine - INFO - Epoch(val) [11][313/313] coco/bbox_mAP: 0.4860 coco/bbox_mAP_50: 0.6990 coco/bbox_mAP_75: 0.5300 coco/bbox_mAP_s: 0.3130 coco/bbox_mAP_m: 0.5190 coco/bbox_mAP_l: 0.6600 coco/segm_mAP: 0.4310 coco/segm_mAP_50: 0.6690 coco/segm_mAP_75: 0.4660 coco/segm_mAP_s: 0.2290 coco/segm_mAP_m: 0.4610 coco/segm_mAP_l: 0.6300 data_time: 0.0271 time: 0.2283 2024/01/14 15:16:29 - mmengine - INFO - Epoch(train) [12][ 50/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:25:12 time: 1.2235 data_time: 0.0656 memory: 14026 loss: 0.5800 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0418 loss_cls: 0.1395 acc: 98.0469 loss_bbox: 0.2001 loss_mask: 0.1868 2024/01/14 15:17:30 - mmengine - INFO - Epoch(train) [12][ 100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:24:12 time: 1.2063 data_time: 0.0621 memory: 14469 loss: 0.6373 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0368 loss_cls: 0.1479 acc: 93.1641 loss_bbox: 0.2296 loss_mask: 0.2069 2024/01/14 15:18:30 - mmengine - INFO - Epoch(train) [12][ 150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:23:12 time: 1.2154 data_time: 0.0439 memory: 14328 loss: 0.4424 loss_rpn_cls: 0.0030 loss_rpn_bbox: 0.0264 loss_cls: 0.0928 acc: 99.8047 loss_bbox: 0.1592 loss_mask: 0.1610 2024/01/14 15:19:29 - mmengine - INFO - Epoch(train) [12][ 200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:22:13 time: 1.1773 data_time: 0.0515 memory: 13771 loss: 0.4576 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0259 loss_cls: 0.1048 acc: 95.8984 loss_bbox: 0.1560 loss_mask: 0.1618 2024/01/14 15:20:29 - mmengine - INFO - Epoch(train) [12][ 250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:21:13 time: 1.1995 data_time: 0.0627 memory: 14186 loss: 0.5308 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0298 loss_cls: 0.1188 acc: 99.4141 loss_bbox: 0.1889 loss_mask: 0.1844 2024/01/14 15:21:29 - mmengine - INFO - Epoch(train) [12][ 300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:20:13 time: 1.1933 data_time: 0.0581 memory: 14041 loss: 0.5332 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0297 loss_cls: 0.1257 acc: 98.8281 loss_bbox: 0.1747 loss_mask: 0.1920 2024/01/14 15:22:28 - mmengine - INFO - Epoch(train) [12][ 350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:19:13 time: 1.1892 data_time: 0.0549 memory: 14472 loss: 0.4921 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0307 loss_cls: 0.1107 acc: 96.0938 loss_bbox: 0.1669 loss_mask: 0.1755 2024/01/14 15:22:52 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 15:23:29 - mmengine - INFO - Epoch(train) [12][ 400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:18:13 time: 1.2060 data_time: 0.0559 memory: 14451 loss: 0.4801 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0286 loss_cls: 0.1101 acc: 96.6797 loss_bbox: 0.1635 loss_mask: 0.1691 2024/01/14 15:24:29 - mmengine - INFO - Epoch(train) [12][ 450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:17:13 time: 1.1987 data_time: 0.0606 memory: 14469 loss: 0.5512 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0313 loss_cls: 0.1184 acc: 94.3359 loss_bbox: 0.1840 loss_mask: 0.2070 2024/01/14 15:25:28 - mmengine - INFO - Epoch(train) [12][ 500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:16:13 time: 1.1898 data_time: 0.0493 memory: 13811 loss: 0.3884 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0184 loss_cls: 0.0860 acc: 96.4844 loss_bbox: 0.1232 loss_mask: 0.1552 2024/01/14 15:26:28 - mmengine - INFO - Epoch(train) [12][ 550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:15:14 time: 1.1980 data_time: 0.0590 memory: 14424 loss: 0.5035 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0374 loss_cls: 0.1152 acc: 95.5078 loss_bbox: 0.1701 loss_mask: 0.1715 2024/01/14 15:27:27 - mmengine - INFO - Epoch(train) [12][ 600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:14:14 time: 1.1815 data_time: 0.0611 memory: 14804 loss: 0.4557 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0217 loss_cls: 0.1019 acc: 100.0000 loss_bbox: 0.1569 loss_mask: 0.1692 2024/01/14 15:28:27 - mmengine - INFO - Epoch(train) [12][ 650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:13:14 time: 1.2037 data_time: 0.0512 memory: 14469 loss: 0.4666 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0300 loss_cls: 0.1060 acc: 90.4297 loss_bbox: 0.1557 loss_mask: 0.1664 2024/01/14 15:29:27 - mmengine - INFO - Epoch(train) [12][ 700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:12:14 time: 1.1977 data_time: 0.0534 memory: 14423 loss: 0.4956 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0309 loss_cls: 0.1160 acc: 87.3047 loss_bbox: 0.1719 loss_mask: 0.1690 2024/01/14 15:30:27 - mmengine - INFO - Epoch(train) [12][ 750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:11:14 time: 1.1882 data_time: 0.0669 memory: 14472 loss: 0.6186 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0446 loss_cls: 0.1485 acc: 91.2109 loss_bbox: 0.2155 loss_mask: 0.1981 2024/01/14 15:31:25 - mmengine - INFO - Epoch(train) [12][ 800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:10:14 time: 1.1765 data_time: 0.0560 memory: 14002 loss: 0.5014 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0317 loss_cls: 0.1197 acc: 90.0391 loss_bbox: 0.1738 loss_mask: 0.1652 2024/01/14 15:32:25 - mmengine - INFO - Epoch(train) [12][ 850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:09:14 time: 1.1973 data_time: 0.0562 memory: 14472 loss: 0.5434 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0366 loss_cls: 0.1296 acc: 99.6094 loss_bbox: 0.1865 loss_mask: 0.1790 2024/01/14 15:33:26 - mmengine - INFO - Epoch(train) [12][ 900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:08:15 time: 1.2185 data_time: 0.0566 memory: 14950 loss: 0.4619 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0265 loss_cls: 0.1036 acc: 99.6094 loss_bbox: 0.1566 loss_mask: 0.1682 2024/01/14 15:34:27 - mmengine - INFO - Epoch(train) [12][ 950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:07:15 time: 1.2070 data_time: 0.0598 memory: 14451 loss: 0.4482 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0235 loss_cls: 0.1026 acc: 99.0234 loss_bbox: 0.1445 loss_mask: 0.1682 2024/01/14 15:35:26 - mmengine - INFO - Epoch(train) [12][1000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:06:15 time: 1.1807 data_time: 0.0670 memory: 14036 loss: 0.5643 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0369 loss_cls: 0.1346 acc: 99.6094 loss_bbox: 0.1958 loss_mask: 0.1860 2024/01/14 15:36:25 - mmengine - INFO - Epoch(train) [12][1050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:05:15 time: 1.1918 data_time: 0.0449 memory: 14954 loss: 0.4172 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0178 loss_cls: 0.0911 acc: 94.3359 loss_bbox: 0.1381 loss_mask: 0.1638 2024/01/14 15:37:25 - mmengine - INFO - Epoch(train) [12][1100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:04:15 time: 1.2005 data_time: 0.0517 memory: 14081 loss: 0.4411 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0238 loss_cls: 0.0922 acc: 97.2656 loss_bbox: 0.1562 loss_mask: 0.1634 2024/01/14 15:38:26 - mmengine - INFO - Epoch(train) [12][1150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:03:16 time: 1.2051 data_time: 0.0503 memory: 14469 loss: 0.4949 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0246 loss_cls: 0.1163 acc: 92.1875 loss_bbox: 0.1713 loss_mask: 0.1752 2024/01/14 15:39:25 - mmengine - INFO - Epoch(train) [12][1200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:02:16 time: 1.1918 data_time: 0.0555 memory: 14472 loss: 0.3882 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0196 loss_cls: 0.0851 acc: 99.0234 loss_bbox: 0.1278 loss_mask: 0.1497 2024/01/14 15:40:26 - mmengine - INFO - Epoch(train) [12][1250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:01:16 time: 1.2063 data_time: 0.0425 memory: 13952 loss: 0.4296 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0197 loss_cls: 0.0946 acc: 86.3281 loss_bbox: 0.1473 loss_mask: 0.1604 2024/01/14 15:41:26 - mmengine - INFO - Epoch(train) [12][1300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:00:16 time: 1.2085 data_time: 0.0560 memory: 14954 loss: 0.4573 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0260 loss_cls: 0.1056 acc: 99.6094 loss_bbox: 0.1577 loss_mask: 0.1609 2024/01/14 15:42:26 - mmengine - INFO - Epoch(train) [12][1350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:59:16 time: 1.1947 data_time: 0.0561 memory: 14324 loss: 0.4742 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0310 loss_cls: 0.1024 acc: 100.0000 loss_bbox: 0.1589 loss_mask: 0.1695 2024/01/14 15:42:49 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 15:43:24 - mmengine - INFO - Epoch(train) [12][1400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:58:16 time: 1.1717 data_time: 0.0469 memory: 14472 loss: 0.4113 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0228 loss_cls: 0.0889 acc: 99.4141 loss_bbox: 0.1322 loss_mask: 0.1617 2024/01/14 15:44:25 - mmengine - INFO - Epoch(train) [12][1450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:57:16 time: 1.2128 data_time: 0.0536 memory: 14448 loss: 0.4715 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0229 loss_cls: 0.0992 acc: 98.2422 loss_bbox: 0.1642 loss_mask: 0.1788 2024/01/14 15:45:25 - mmengine - INFO - Epoch(train) [12][1500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:56:17 time: 1.2043 data_time: 0.0543 memory: 14469 loss: 0.4417 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0266 loss_cls: 0.1036 acc: 99.4141 loss_bbox: 0.1437 loss_mask: 0.1578 2024/01/14 15:46:25 - mmengine - INFO - Epoch(train) [12][1550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:55:17 time: 1.1932 data_time: 0.0510 memory: 14743 loss: 0.3781 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0213 loss_cls: 0.0837 acc: 100.0000 loss_bbox: 0.1232 loss_mask: 0.1430 2024/01/14 15:47:26 - mmengine - INFO - Epoch(train) [12][1600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:54:17 time: 1.2133 data_time: 0.0466 memory: 14954 loss: 0.4362 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0269 loss_cls: 0.0915 acc: 100.0000 loss_bbox: 0.1474 loss_mask: 0.1600 2024/01/14 15:48:26 - mmengine - INFO - Epoch(train) [12][1650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:53:17 time: 1.2082 data_time: 0.0559 memory: 14041 loss: 0.5835 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0344 loss_cls: 0.1396 acc: 90.0391 loss_bbox: 0.2037 loss_mask: 0.1969 2024/01/14 15:49:27 - mmengine - INFO - Epoch(train) [12][1700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:52:17 time: 1.2184 data_time: 0.0710 memory: 14950 loss: 0.5748 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0312 loss_cls: 0.1444 acc: 99.0234 loss_bbox: 0.2004 loss_mask: 0.1879 2024/01/14 15:50:27 - mmengine - INFO - Epoch(train) [12][1750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:51:18 time: 1.1982 data_time: 0.0612 memory: 14160 loss: 0.5078 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0305 loss_cls: 0.1197 acc: 92.9688 loss_bbox: 0.1747 loss_mask: 0.1735 2024/01/14 15:51:27 - mmengine - INFO - Epoch(train) [12][1800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:50:18 time: 1.2047 data_time: 0.0511 memory: 14954 loss: 0.3784 loss_rpn_cls: 0.0039 loss_rpn_bbox: 0.0194 loss_cls: 0.0764 acc: 97.4609 loss_bbox: 0.1301 loss_mask: 0.1486 2024/01/14 15:52:28 - mmengine - INFO - Epoch(train) [12][1850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:49:18 time: 1.2088 data_time: 0.0481 memory: 14651 loss: 0.4391 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0238 loss_cls: 0.1029 acc: 99.4141 loss_bbox: 0.1468 loss_mask: 0.1564 2024/01/14 15:53:28 - mmengine - INFO - Epoch(train) [12][1900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:48:18 time: 1.2020 data_time: 0.0468 memory: 14423 loss: 0.4668 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0237 loss_cls: 0.1043 acc: 91.7969 loss_bbox: 0.1631 loss_mask: 0.1666 2024/01/14 15:54:27 - mmengine - INFO - Epoch(train) [12][1950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:47:18 time: 1.1806 data_time: 0.0511 memory: 14328 loss: 0.4790 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0251 loss_cls: 0.1033 acc: 100.0000 loss_bbox: 0.1561 loss_mask: 0.1836 2024/01/14 15:55:27 - mmengine - INFO - Epoch(train) [12][2000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:46:19 time: 1.2083 data_time: 0.0413 memory: 14134 loss: 0.3927 loss_rpn_cls: 0.0039 loss_rpn_bbox: 0.0189 loss_cls: 0.0833 acc: 99.6094 loss_bbox: 0.1294 loss_mask: 0.1573 2024/01/14 15:56:28 - mmengine - INFO - Epoch(train) [12][2050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:45:19 time: 1.2136 data_time: 0.0520 memory: 13811 loss: 0.4531 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0263 loss_cls: 0.1023 acc: 98.6328 loss_bbox: 0.1428 loss_mask: 0.1763 2024/01/14 15:57:27 - mmengine - INFO - Epoch(train) [12][2100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:44:19 time: 1.1928 data_time: 0.0473 memory: 14472 loss: 0.4289 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0187 loss_cls: 0.0933 acc: 96.4844 loss_bbox: 0.1474 loss_mask: 0.1628 2024/01/14 15:58:28 - mmengine - INFO - Epoch(train) [12][2150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:43:19 time: 1.2000 data_time: 0.0627 memory: 14950 loss: 0.5130 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0267 loss_cls: 0.1202 acc: 99.2188 loss_bbox: 0.1878 loss_mask: 0.1731 2024/01/14 15:59:27 - mmengine - INFO - Epoch(train) [12][2200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:42:19 time: 1.1834 data_time: 0.0652 memory: 14954 loss: 0.5415 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0304 loss_cls: 0.1279 acc: 90.8203 loss_bbox: 0.1892 loss_mask: 0.1835 2024/01/14 16:00:27 - mmengine - INFO - Epoch(train) [12][2250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:41:19 time: 1.1975 data_time: 0.0519 memory: 14546 loss: 0.5141 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0358 loss_cls: 0.1258 acc: 96.2891 loss_bbox: 0.1615 loss_mask: 0.1801 2024/01/14 16:01:27 - mmengine - INFO - Epoch(train) [12][2300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:40:19 time: 1.2018 data_time: 0.0579 memory: 13868 loss: 0.5923 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0328 loss_cls: 0.1343 acc: 88.6719 loss_bbox: 0.2150 loss_mask: 0.2003 2024/01/14 16:02:27 - mmengine - INFO - Epoch(train) [12][2350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:39:20 time: 1.2155 data_time: 0.0488 memory: 14242 loss: 0.4128 loss_rpn_cls: 0.0050 loss_rpn_bbox: 0.0195 loss_cls: 0.0925 acc: 97.0703 loss_bbox: 0.1381 loss_mask: 0.1576 2024/01/14 16:02:52 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 16:03:27 - mmengine - INFO - Epoch(train) [12][2400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:38:20 time: 1.1985 data_time: 0.0521 memory: 14119 loss: 0.5005 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0276 loss_cls: 0.1074 acc: 84.5703 loss_bbox: 0.1734 loss_mask: 0.1851 2024/01/14 16:04:27 - mmengine - INFO - Epoch(train) [12][2450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:37:20 time: 1.1986 data_time: 0.0506 memory: 14654 loss: 0.4650 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0253 loss_cls: 0.1064 acc: 92.3828 loss_bbox: 0.1622 loss_mask: 0.1613 2024/01/14 16:05:28 - mmengine - INFO - Epoch(train) [12][2500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:36:20 time: 1.2036 data_time: 0.0491 memory: 14954 loss: 0.5771 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0382 loss_cls: 0.1485 acc: 97.6562 loss_bbox: 0.2046 loss_mask: 0.1747 2024/01/14 16:06:27 - mmengine - INFO - Epoch(train) [12][2550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:35:20 time: 1.1947 data_time: 0.0524 memory: 14654 loss: 0.6173 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0392 loss_cls: 0.1371 acc: 93.5547 loss_bbox: 0.2246 loss_mask: 0.2043 2024/01/14 16:07:28 - mmengine - INFO - Epoch(train) [12][2600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:34:21 time: 1.2082 data_time: 0.0529 memory: 13771 loss: 0.4548 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0283 loss_cls: 0.1028 acc: 88.0859 loss_bbox: 0.1512 loss_mask: 0.1628 2024/01/14 16:08:28 - mmengine - INFO - Epoch(train) [12][2650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:33:21 time: 1.2012 data_time: 0.0511 memory: 14779 loss: 0.5377 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0331 loss_cls: 0.1352 acc: 99.0234 loss_bbox: 0.1748 loss_mask: 0.1866 2024/01/14 16:09:28 - mmengine - INFO - Epoch(train) [12][2700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:32:21 time: 1.2101 data_time: 0.0579 memory: 13771 loss: 0.5302 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0307 loss_cls: 0.1290 acc: 91.7969 loss_bbox: 0.1816 loss_mask: 0.1810 2024/01/14 16:10:28 - mmengine - INFO - Epoch(train) [12][2750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:31:21 time: 1.1902 data_time: 0.0523 memory: 14472 loss: 0.4979 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0280 loss_cls: 0.1164 acc: 86.9141 loss_bbox: 0.1723 loss_mask: 0.1733 2024/01/14 16:11:27 - mmengine - INFO - Epoch(train) [12][2800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:30:21 time: 1.1887 data_time: 0.0477 memory: 14423 loss: 0.4450 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0223 loss_cls: 0.0982 acc: 91.2109 loss_bbox: 0.1534 loss_mask: 0.1626 2024/01/14 16:12:27 - mmengine - INFO - Epoch(train) [12][2850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:29:21 time: 1.2021 data_time: 0.0575 memory: 14954 loss: 0.5681 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0289 loss_cls: 0.1310 acc: 84.5703 loss_bbox: 0.2012 loss_mask: 0.1968 2024/01/14 16:13:28 - mmengine - INFO - Epoch(train) [12][2900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:28:22 time: 1.2137 data_time: 0.0576 memory: 14472 loss: 0.4760 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0307 loss_cls: 0.1011 acc: 98.8281 loss_bbox: 0.1614 loss_mask: 0.1749 2024/01/14 16:14:28 - mmengine - INFO - Epoch(train) [12][2950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:27:22 time: 1.2011 data_time: 0.0482 memory: 14950 loss: 0.4225 loss_rpn_cls: 0.0056 loss_rpn_bbox: 0.0245 loss_cls: 0.0909 acc: 85.9375 loss_bbox: 0.1400 loss_mask: 0.1615 2024/01/14 16:15:28 - mmengine - INFO - Epoch(train) [12][3000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:26:22 time: 1.2056 data_time: 0.0564 memory: 14951 loss: 0.4467 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0231 loss_cls: 0.1077 acc: 97.8516 loss_bbox: 0.1504 loss_mask: 0.1593 2024/01/14 16:16:29 - mmengine - INFO - Epoch(train) [12][3050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:25:22 time: 1.2048 data_time: 0.0486 memory: 14954 loss: 0.3740 loss_rpn_cls: 0.0079 loss_rpn_bbox: 0.0217 loss_cls: 0.0783 acc: 98.8281 loss_bbox: 0.1234 loss_mask: 0.1427 2024/01/14 16:17:28 - mmengine - INFO - Epoch(train) [12][3100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:24:22 time: 1.1825 data_time: 0.0540 memory: 14256 loss: 0.4940 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0274 loss_cls: 0.1075 acc: 90.6250 loss_bbox: 0.1718 loss_mask: 0.1808 2024/01/14 16:18:28 - mmengine - INFO - Epoch(train) [12][3150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:23:22 time: 1.2107 data_time: 0.0553 memory: 14954 loss: 0.5313 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0319 loss_cls: 0.1301 acc: 99.0234 loss_bbox: 0.1827 loss_mask: 0.1736 2024/01/14 16:19:29 - mmengine - INFO - Epoch(train) [12][3200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:22:23 time: 1.2114 data_time: 0.0545 memory: 14697 loss: 0.5037 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0346 loss_cls: 0.1177 acc: 92.7734 loss_bbox: 0.1711 loss_mask: 0.1711 2024/01/14 16:20:29 - mmengine - INFO - Epoch(train) [12][3250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:21:23 time: 1.1916 data_time: 0.0545 memory: 14228 loss: 0.4234 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0247 loss_cls: 0.0897 acc: 92.1875 loss_bbox: 0.1419 loss_mask: 0.1610 2024/01/14 16:21:28 - mmengine - INFO - Epoch(train) [12][3300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:20:23 time: 1.1886 data_time: 0.0528 memory: 14469 loss: 0.4696 loss_rpn_cls: 0.0055 loss_rpn_bbox: 0.0253 loss_cls: 0.1024 acc: 100.0000 loss_bbox: 0.1620 loss_mask: 0.1744 2024/01/14 16:22:28 - mmengine - INFO - Epoch(train) [12][3350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:19:23 time: 1.1997 data_time: 0.0607 memory: 14472 loss: 0.5900 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0357 loss_cls: 0.1385 acc: 96.8750 loss_bbox: 0.2106 loss_mask: 0.1929 2024/01/14 16:22:52 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 16:23:28 - mmengine - INFO - Epoch(train) [12][3400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:18:23 time: 1.2022 data_time: 0.0528 memory: 14469 loss: 0.5377 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0313 loss_cls: 0.1286 acc: 91.0156 loss_bbox: 0.1891 loss_mask: 0.1802 2024/01/14 16:24:28 - mmengine - INFO - Epoch(train) [12][3450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:17:23 time: 1.2001 data_time: 0.0518 memory: 14264 loss: 0.4351 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0255 loss_cls: 0.1025 acc: 99.6094 loss_bbox: 0.1404 loss_mask: 0.1570 2024/01/14 16:25:27 - mmengine - INFO - Epoch(train) [12][3500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:16:23 time: 1.1794 data_time: 0.0571 memory: 14469 loss: 0.5220 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0273 loss_cls: 0.1230 acc: 89.6484 loss_bbox: 0.1769 loss_mask: 0.1865 2024/01/14 16:26:27 - mmengine - INFO - Epoch(train) [12][3550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:15:24 time: 1.2022 data_time: 0.0579 memory: 14472 loss: 0.5376 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0326 loss_cls: 0.1132 acc: 91.0156 loss_bbox: 0.1815 loss_mask: 0.1968 2024/01/14 16:27:27 - mmengine - INFO - Epoch(train) [12][3600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:14:24 time: 1.2022 data_time: 0.0588 memory: 14040 loss: 0.4472 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0238 loss_cls: 0.0981 acc: 91.0156 loss_bbox: 0.1593 loss_mask: 0.1608 2024/01/14 16:28:28 - mmengine - INFO - Epoch(train) [12][3650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:13:24 time: 1.2036 data_time: 0.0627 memory: 14424 loss: 0.5221 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0294 loss_cls: 0.1224 acc: 97.0703 loss_bbox: 0.1731 loss_mask: 0.1868 2024/01/14 16:29:28 - mmengine - INFO - Epoch(train) [12][3700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:12:24 time: 1.2006 data_time: 0.0506 memory: 13953 loss: 0.4978 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0341 loss_cls: 0.1193 acc: 97.2656 loss_bbox: 0.1669 loss_mask: 0.1701 2024/01/14 16:30:28 - mmengine - INFO - Epoch(train) [12][3750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:11:24 time: 1.1977 data_time: 0.0553 memory: 14134 loss: 0.5342 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0282 loss_cls: 0.1289 acc: 99.4141 loss_bbox: 0.1802 loss_mask: 0.1869 2024/01/14 16:31:27 - mmengine - INFO - Epoch(train) [12][3800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:10:24 time: 1.1884 data_time: 0.0558 memory: 14698 loss: 0.5218 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0356 loss_cls: 0.1301 acc: 84.9609 loss_bbox: 0.1712 loss_mask: 0.1749 2024/01/14 16:32:28 - mmengine - INFO - Epoch(train) [12][3850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:09:25 time: 1.2216 data_time: 0.0584 memory: 14658 loss: 0.5195 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0381 loss_cls: 0.1220 acc: 92.1875 loss_bbox: 0.1774 loss_mask: 0.1744 2024/01/14 16:33:28 - mmengine - INFO - Epoch(train) [12][3900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:08:25 time: 1.1936 data_time: 0.0520 memory: 14423 loss: 0.4751 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0288 loss_cls: 0.1010 acc: 98.6328 loss_bbox: 0.1594 loss_mask: 0.1796 2024/01/14 16:34:29 - mmengine - INFO - Epoch(train) [12][3950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:07:25 time: 1.2221 data_time: 0.0669 memory: 14951 loss: 0.5535 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0368 loss_cls: 0.1400 acc: 91.0156 loss_bbox: 0.1883 loss_mask: 0.1787 2024/01/14 16:35:28 - mmengine - INFO - Epoch(train) [12][4000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:06:25 time: 1.1802 data_time: 0.0461 memory: 14954 loss: 0.3925 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0222 loss_cls: 0.0827 acc: 99.0234 loss_bbox: 0.1310 loss_mask: 0.1506 2024/01/14 16:36:28 - mmengine - INFO - Epoch(train) [12][4050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:05:25 time: 1.2014 data_time: 0.0474 memory: 14954 loss: 0.4004 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0215 loss_cls: 0.0813 acc: 99.2188 loss_bbox: 0.1396 loss_mask: 0.1517 2024/01/14 16:37:28 - mmengine - INFO - Epoch(train) [12][4100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:04:25 time: 1.2036 data_time: 0.0495 memory: 14287 loss: 0.4964 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0301 loss_cls: 0.1088 acc: 90.8203 loss_bbox: 0.1773 loss_mask: 0.1721 2024/01/14 16:38:28 - mmengine - INFO - Epoch(train) [12][4150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:03:26 time: 1.1982 data_time: 0.0651 memory: 14954 loss: 0.5233 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0341 loss_cls: 0.1247 acc: 99.8047 loss_bbox: 0.1738 loss_mask: 0.1800 2024/01/14 16:39:29 - mmengine - INFO - Epoch(train) [12][4200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:02:26 time: 1.2173 data_time: 0.0586 memory: 14328 loss: 0.4829 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0293 loss_cls: 0.1129 acc: 95.1172 loss_bbox: 0.1632 loss_mask: 0.1683 2024/01/14 16:40:30 - mmengine - INFO - Epoch(train) [12][4250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:01:26 time: 1.2184 data_time: 0.0506 memory: 14882 loss: 0.4397 loss_rpn_cls: 0.0057 loss_rpn_bbox: 0.0257 loss_cls: 0.0919 acc: 90.6250 loss_bbox: 0.1461 loss_mask: 0.1703 2024/01/14 16:41:30 - mmengine - INFO - Epoch(train) [12][4300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:00:26 time: 1.1995 data_time: 0.0598 memory: 14946 loss: 0.4812 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0332 loss_cls: 0.1038 acc: 95.1172 loss_bbox: 0.1649 loss_mask: 0.1697 2024/01/14 16:42:30 - mmengine - INFO - Epoch(train) [12][4350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:59:26 time: 1.1960 data_time: 0.0573 memory: 14425 loss: 0.4965 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0276 loss_cls: 0.1061 acc: 99.8047 loss_bbox: 0.1701 loss_mask: 0.1854 2024/01/14 16:42:53 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 16:43:29 - mmengine - INFO - Epoch(train) [12][4400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:58:26 time: 1.1913 data_time: 0.0431 memory: 13771 loss: 0.4852 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0283 loss_cls: 0.1124 acc: 97.8516 loss_bbox: 0.1737 loss_mask: 0.1638 2024/01/14 16:44:30 - mmengine - INFO - Epoch(train) [12][4450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:57:27 time: 1.2102 data_time: 0.0605 memory: 14472 loss: 0.4740 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0259 loss_cls: 0.1095 acc: 92.9688 loss_bbox: 0.1533 loss_mask: 0.1783 2024/01/14 16:45:31 - mmengine - INFO - Epoch(train) [12][4500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:56:27 time: 1.2160 data_time: 0.0502 memory: 14878 loss: 0.4458 loss_rpn_cls: 0.0043 loss_rpn_bbox: 0.0243 loss_cls: 0.0961 acc: 99.0234 loss_bbox: 0.1531 loss_mask: 0.1679 2024/01/14 16:46:30 - mmengine - INFO - Epoch(train) [12][4550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:55:27 time: 1.1879 data_time: 0.0504 memory: 14472 loss: 0.4953 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0322 loss_cls: 0.1150 acc: 99.0234 loss_bbox: 0.1738 loss_mask: 0.1662 2024/01/14 16:47:29 - mmengine - INFO - Epoch(train) [12][4600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:54:27 time: 1.1855 data_time: 0.0509 memory: 14387 loss: 0.5271 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0301 loss_cls: 0.1216 acc: 99.6094 loss_bbox: 0.1856 loss_mask: 0.1824 2024/01/14 16:48:29 - mmengine - INFO - Epoch(train) [12][4650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:53:27 time: 1.1906 data_time: 0.0497 memory: 14951 loss: 0.5103 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0255 loss_cls: 0.1096 acc: 95.1172 loss_bbox: 0.1811 loss_mask: 0.1867 2024/01/14 16:49:28 - mmengine - INFO - Epoch(train) [12][4700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:52:27 time: 1.1883 data_time: 0.0574 memory: 14950 loss: 0.4601 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0286 loss_cls: 0.1071 acc: 94.5312 loss_bbox: 0.1471 loss_mask: 0.1665 2024/01/14 16:50:28 - mmengine - INFO - Epoch(train) [12][4750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:51:28 time: 1.1949 data_time: 0.0605 memory: 14472 loss: 0.5287 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0319 loss_cls: 0.1196 acc: 97.2656 loss_bbox: 0.1806 loss_mask: 0.1888 2024/01/14 16:51:28 - mmengine - INFO - Epoch(train) [12][4800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:50:28 time: 1.2026 data_time: 0.0509 memory: 14658 loss: 0.4916 loss_rpn_cls: 0.0046 loss_rpn_bbox: 0.0275 loss_cls: 0.1065 acc: 96.8750 loss_bbox: 0.1751 loss_mask: 0.1779 2024/01/14 16:52:28 - mmengine - INFO - Epoch(train) [12][4850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:49:28 time: 1.2003 data_time: 0.0533 memory: 13952 loss: 0.4286 loss_rpn_cls: 0.0040 loss_rpn_bbox: 0.0248 loss_cls: 0.0882 acc: 94.9219 loss_bbox: 0.1465 loss_mask: 0.1651 2024/01/14 16:53:28 - mmengine - INFO - Epoch(train) [12][4900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:48:28 time: 1.2007 data_time: 0.0539 memory: 14900 loss: 0.4425 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0313 loss_cls: 0.1068 acc: 98.4375 loss_bbox: 0.1369 loss_mask: 0.1576 2024/01/14 16:54:28 - mmengine - INFO - Epoch(train) [12][4950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:47:28 time: 1.1966 data_time: 0.0693 memory: 14951 loss: 0.6233 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0378 loss_cls: 0.1406 acc: 97.8516 loss_bbox: 0.2317 loss_mask: 0.2020 2024/01/14 16:55:29 - mmengine - INFO - Epoch(train) [12][5000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:46:28 time: 1.2087 data_time: 0.0579 memory: 14469 loss: 0.4119 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0211 loss_cls: 0.0901 acc: 94.1406 loss_bbox: 0.1450 loss_mask: 0.1505 2024/01/14 16:56:27 - mmengine - INFO - Epoch(train) [12][5050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:45:28 time: 1.1644 data_time: 0.0492 memory: 14424 loss: 0.4680 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0296 loss_cls: 0.1129 acc: 99.6094 loss_bbox: 0.1548 loss_mask: 0.1629 2024/01/14 16:57:27 - mmengine - INFO - Epoch(train) [12][5100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:44:29 time: 1.1942 data_time: 0.0565 memory: 14722 loss: 0.5183 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0370 loss_cls: 0.1173 acc: 99.8047 loss_bbox: 0.1698 loss_mask: 0.1826 2024/01/14 16:58:27 - mmengine - INFO - Epoch(train) [12][5150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:43:29 time: 1.2026 data_time: 0.0612 memory: 14139 loss: 0.4705 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0246 loss_cls: 0.1041 acc: 96.2891 loss_bbox: 0.1652 loss_mask: 0.1707 2024/01/14 16:59:26 - mmengine - INFO - Epoch(train) [12][5200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:42:29 time: 1.1946 data_time: 0.0613 memory: 13771 loss: 0.5074 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0320 loss_cls: 0.1173 acc: 99.0234 loss_bbox: 0.1680 loss_mask: 0.1802 2024/01/14 17:00:26 - mmengine - INFO - Epoch(train) [12][5250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:41:29 time: 1.1970 data_time: 0.0525 memory: 14262 loss: 0.4773 loss_rpn_cls: 0.0059 loss_rpn_bbox: 0.0258 loss_cls: 0.1085 acc: 97.4609 loss_bbox: 0.1555 loss_mask: 0.1816 2024/01/14 17:01:26 - mmengine - INFO - Epoch(train) [12][5300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:40:29 time: 1.1922 data_time: 0.0504 memory: 14658 loss: 0.4382 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0210 loss_cls: 0.0935 acc: 98.8281 loss_bbox: 0.1535 loss_mask: 0.1649 2024/01/14 17:02:26 - mmengine - INFO - Epoch(train) [12][5350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:39:29 time: 1.1978 data_time: 0.0393 memory: 14423 loss: 0.4262 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0204 loss_cls: 0.1005 acc: 94.1406 loss_bbox: 0.1406 loss_mask: 0.1580 2024/01/14 17:02:49 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 17:03:25 - mmengine - INFO - Epoch(train) [12][5400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:38:30 time: 1.1849 data_time: 0.0505 memory: 14472 loss: 0.4383 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0278 loss_cls: 0.0856 acc: 96.0938 loss_bbox: 0.1511 loss_mask: 0.1654 2024/01/14 17:04:26 - mmengine - INFO - Epoch(train) [12][5450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:37:30 time: 1.2102 data_time: 0.0563 memory: 13960 loss: 0.4824 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0253 loss_cls: 0.1085 acc: 99.8047 loss_bbox: 0.1690 loss_mask: 0.1728 2024/01/14 17:05:26 - mmengine - INFO - Epoch(train) [12][5500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:36:30 time: 1.1996 data_time: 0.0569 memory: 14472 loss: 0.5372 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0314 loss_cls: 0.1225 acc: 93.3594 loss_bbox: 0.1877 loss_mask: 0.1833 2024/01/14 17:06:25 - mmengine - INFO - Epoch(train) [12][5550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:35:30 time: 1.1804 data_time: 0.0433 memory: 14472 loss: 0.3936 loss_rpn_cls: 0.0049 loss_rpn_bbox: 0.0169 loss_cls: 0.0797 acc: 92.3828 loss_bbox: 0.1289 loss_mask: 0.1631 2024/01/14 17:07:24 - mmengine - INFO - Epoch(train) [12][5600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:34:30 time: 1.1867 data_time: 0.0551 memory: 14135 loss: 0.5144 loss_rpn_cls: 0.0069 loss_rpn_bbox: 0.0280 loss_cls: 0.1083 acc: 99.4141 loss_bbox: 0.1766 loss_mask: 0.1945 2024/01/14 17:08:25 - mmengine - INFO - Epoch(train) [12][5650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:33:30 time: 1.2130 data_time: 0.0531 memory: 14469 loss: 0.4647 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0308 loss_cls: 0.1119 acc: 97.6562 loss_bbox: 0.1533 loss_mask: 0.1609 2024/01/14 17:09:24 - mmengine - INFO - Epoch(train) [12][5700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:32:30 time: 1.1879 data_time: 0.0491 memory: 14245 loss: 0.5337 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0286 loss_cls: 0.1193 acc: 98.8281 loss_bbox: 0.1864 loss_mask: 0.1915 2024/01/14 17:10:24 - mmengine - INFO - Epoch(train) [12][5750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:31:31 time: 1.1930 data_time: 0.0463 memory: 14757 loss: 0.4438 loss_rpn_cls: 0.0052 loss_rpn_bbox: 0.0320 loss_cls: 0.0959 acc: 95.5078 loss_bbox: 0.1535 loss_mask: 0.1573 2024/01/14 17:11:23 - mmengine - INFO - Epoch(train) [12][5800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:30:31 time: 1.1901 data_time: 0.0568 memory: 14658 loss: 0.5036 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0296 loss_cls: 0.1144 acc: 99.2188 loss_bbox: 0.1820 loss_mask: 0.1718 2024/01/14 17:12:23 - mmengine - INFO - Epoch(train) [12][5850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:29:31 time: 1.2038 data_time: 0.0536 memory: 14469 loss: 0.4702 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0242 loss_cls: 0.0989 acc: 99.4141 loss_bbox: 0.1503 loss_mask: 0.1884 2024/01/14 17:13:23 - mmengine - INFO - Epoch(train) [12][5900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:28:31 time: 1.1950 data_time: 0.0647 memory: 14472 loss: 0.5653 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0336 loss_cls: 0.1344 acc: 95.1172 loss_bbox: 0.1908 loss_mask: 0.1962 2024/01/14 17:14:23 - mmengine - INFO - Epoch(train) [12][5950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:27:31 time: 1.1976 data_time: 0.0482 memory: 14134 loss: 0.4380 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0257 loss_cls: 0.0943 acc: 87.5000 loss_bbox: 0.1496 loss_mask: 0.1600 2024/01/14 17:15:24 - mmengine - INFO - Epoch(train) [12][6000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:26:31 time: 1.2178 data_time: 0.0571 memory: 14424 loss: 0.5078 loss_rpn_cls: 0.0068 loss_rpn_bbox: 0.0298 loss_cls: 0.1159 acc: 99.6094 loss_bbox: 0.1798 loss_mask: 0.1756 2024/01/14 17:16:24 - mmengine - INFO - Epoch(train) [12][6050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:25:32 time: 1.1915 data_time: 0.0538 memory: 14472 loss: 0.4547 loss_rpn_cls: 0.0054 loss_rpn_bbox: 0.0243 loss_cls: 0.1041 acc: 88.6719 loss_bbox: 0.1537 loss_mask: 0.1673 2024/01/14 17:17:24 - mmengine - INFO - Epoch(train) [12][6100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:24:32 time: 1.2029 data_time: 0.0595 memory: 14469 loss: 0.4883 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0326 loss_cls: 0.1053 acc: 97.0703 loss_bbox: 0.1651 loss_mask: 0.1775 2024/01/14 17:18:24 - mmengine - INFO - Epoch(train) [12][6150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:23:32 time: 1.1998 data_time: 0.0522 memory: 14658 loss: 0.5228 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0332 loss_cls: 0.1288 acc: 99.2188 loss_bbox: 0.1667 loss_mask: 0.1830 2024/01/14 17:19:24 - mmengine - INFO - Epoch(train) [12][6200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:22:32 time: 1.2037 data_time: 0.0508 memory: 13952 loss: 0.4682 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0262 loss_cls: 0.1090 acc: 98.8281 loss_bbox: 0.1553 loss_mask: 0.1675 2024/01/14 17:20:24 - mmengine - INFO - Epoch(train) [12][6250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:21:32 time: 1.2005 data_time: 0.0593 memory: 14424 loss: 0.5997 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0383 loss_cls: 0.1463 acc: 99.6094 loss_bbox: 0.2074 loss_mask: 0.1932 2024/01/14 17:21:24 - mmengine - INFO - Epoch(train) [12][6300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:20:32 time: 1.1991 data_time: 0.0518 memory: 14658 loss: 0.5231 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0310 loss_cls: 0.1196 acc: 99.4141 loss_bbox: 0.1787 loss_mask: 0.1856 2024/01/14 17:22:24 - mmengine - INFO - Epoch(train) [12][6350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:19:32 time: 1.1910 data_time: 0.0505 memory: 14658 loss: 0.5395 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0327 loss_cls: 0.1207 acc: 99.4141 loss_bbox: 0.1914 loss_mask: 0.1873 2024/01/14 17:22:47 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 17:23:24 - mmengine - INFO - Epoch(train) [12][6400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:18:33 time: 1.1996 data_time: 0.0521 memory: 14472 loss: 0.4268 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0284 loss_cls: 0.0950 acc: 92.7734 loss_bbox: 0.1460 loss_mask: 0.1481 2024/01/14 17:24:24 - mmengine - INFO - Epoch(train) [12][6450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:17:33 time: 1.2007 data_time: 0.0654 memory: 14324 loss: 0.4865 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0315 loss_cls: 0.1058 acc: 90.8203 loss_bbox: 0.1723 loss_mask: 0.1661 2024/01/14 17:25:23 - mmengine - INFO - Epoch(train) [12][6500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:16:33 time: 1.1923 data_time: 0.0563 memory: 14404 loss: 0.5275 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0299 loss_cls: 0.1196 acc: 98.0469 loss_bbox: 0.1801 loss_mask: 0.1879 2024/01/14 17:26:23 - mmengine - INFO - Epoch(train) [12][6550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:15:33 time: 1.1913 data_time: 0.0586 memory: 14951 loss: 0.5303 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0344 loss_cls: 0.1143 acc: 97.8516 loss_bbox: 0.1845 loss_mask: 0.1867 2024/01/14 17:27:23 - mmengine - INFO - Epoch(train) [12][6600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:14:33 time: 1.2077 data_time: 0.0565 memory: 13771 loss: 0.4939 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0285 loss_cls: 0.1065 acc: 97.6562 loss_bbox: 0.1686 loss_mask: 0.1805 2024/01/14 17:28:23 - mmengine - INFO - Epoch(train) [12][6650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:13:33 time: 1.1990 data_time: 0.0546 memory: 14737 loss: 0.5349 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0311 loss_cls: 0.1188 acc: 94.5312 loss_bbox: 0.1848 loss_mask: 0.1889 2024/01/14 17:29:23 - mmengine - INFO - Epoch(train) [12][6700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:12:34 time: 1.2005 data_time: 0.0584 memory: 14472 loss: 0.4034 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0196 loss_cls: 0.0876 acc: 99.2188 loss_bbox: 0.1318 loss_mask: 0.1583 2024/01/14 17:30:23 - mmengine - INFO - Epoch(train) [12][6750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:11:34 time: 1.2058 data_time: 0.0462 memory: 14472 loss: 0.4509 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0227 loss_cls: 0.0990 acc: 95.8984 loss_bbox: 0.1582 loss_mask: 0.1635 2024/01/14 17:31:23 - mmengine - INFO - Epoch(train) [12][6800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:10:34 time: 1.1826 data_time: 0.0529 memory: 14472 loss: 0.4539 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0252 loss_cls: 0.1063 acc: 96.4844 loss_bbox: 0.1543 loss_mask: 0.1611 2024/01/14 17:32:23 - mmengine - INFO - Epoch(train) [12][6850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:09:34 time: 1.2143 data_time: 0.0576 memory: 14472 loss: 0.5128 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0274 loss_cls: 0.1228 acc: 99.8047 loss_bbox: 0.1807 loss_mask: 0.1719 2024/01/14 17:33:24 - mmengine - INFO - Epoch(train) [12][6900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:08:34 time: 1.2117 data_time: 0.0519 memory: 14500 loss: 0.4449 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0251 loss_cls: 0.0924 acc: 92.5781 loss_bbox: 0.1503 loss_mask: 0.1694 2024/01/14 17:34:24 - mmengine - INFO - Epoch(train) [12][6950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:07:34 time: 1.1978 data_time: 0.0499 memory: 13771 loss: 0.4518 loss_rpn_cls: 0.0053 loss_rpn_bbox: 0.0235 loss_cls: 0.0936 acc: 95.3125 loss_bbox: 0.1629 loss_mask: 0.1664 2024/01/14 17:35:23 - mmengine - INFO - Epoch(train) [12][7000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:06:34 time: 1.1834 data_time: 0.0534 memory: 14954 loss: 0.4519 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0222 loss_cls: 0.0919 acc: 89.6484 loss_bbox: 0.1558 loss_mask: 0.1725 2024/01/14 17:36:23 - mmengine - INFO - Epoch(train) [12][7050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:05:35 time: 1.2007 data_time: 0.0542 memory: 14950 loss: 0.4968 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0279 loss_cls: 0.1155 acc: 99.8047 loss_bbox: 0.1696 loss_mask: 0.1763 2024/01/14 17:37:23 - mmengine - INFO - Epoch(train) [12][7100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:04:35 time: 1.1947 data_time: 0.0532 memory: 14658 loss: 0.4389 loss_rpn_cls: 0.0062 loss_rpn_bbox: 0.0232 loss_cls: 0.0939 acc: 99.0234 loss_bbox: 0.1502 loss_mask: 0.1654 2024/01/14 17:38:22 - mmengine - INFO - Epoch(train) [12][7150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:03:35 time: 1.1828 data_time: 0.0505 memory: 14448 loss: 0.4526 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0237 loss_cls: 0.0941 acc: 94.5312 loss_bbox: 0.1477 loss_mask: 0.1803 2024/01/14 17:39:22 - mmengine - INFO - Epoch(train) [12][7200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:02:35 time: 1.2073 data_time: 0.0625 memory: 14472 loss: 0.4947 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0296 loss_cls: 0.1163 acc: 94.3359 loss_bbox: 0.1692 loss_mask: 0.1730 2024/01/14 17:40:22 - mmengine - INFO - Epoch(train) [12][7250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:01:35 time: 1.1979 data_time: 0.0647 memory: 14328 loss: 0.5393 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0358 loss_cls: 0.1335 acc: 99.6094 loss_bbox: 0.1791 loss_mask: 0.1808 2024/01/14 17:41:22 - mmengine - INFO - Epoch(train) [12][7300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:00:35 time: 1.1915 data_time: 0.0511 memory: 14472 loss: 0.5799 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0308 loss_cls: 0.1345 acc: 100.0000 loss_bbox: 0.2010 loss_mask: 0.2021 2024/01/14 17:41:57 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_base_20240113_120111 2024/01/14 17:41:57 - mmengine - INFO - Saving checkpoint at 12 epochs 2024/01/14 17:42:15 - mmengine - INFO - Epoch(val) [12][ 50/313] eta: 0:01:02 time: 0.2360 data_time: 0.0343 memory: 14328 2024/01/14 17:42:26 - mmengine - INFO - Epoch(val) [12][100/313] eta: 0:00:49 time: 0.2262 data_time: 0.0225 memory: 3311 2024/01/14 17:42:37 - mmengine - INFO - Epoch(val) [12][150/313] eta: 0:00:37 time: 0.2248 data_time: 0.0260 memory: 3368 2024/01/14 17:42:49 - mmengine - INFO - Epoch(val) [12][200/313] eta: 0:00:25 time: 0.2304 data_time: 0.0269 memory: 3331 2024/01/14 17:43:00 - mmengine - INFO - Epoch(val) [12][250/313] eta: 0:00:14 time: 0.2142 data_time: 0.0176 memory: 3368 2024/01/14 17:43:11 - mmengine - INFO - Epoch(val) [12][300/313] eta: 0:00:02 time: 0.2265 data_time: 0.0251 memory: 3331 2024/01/14 17:43:19 - mmengine - INFO - Evaluating bbox... 2024/01/14 17:43:39 - mmengine - INFO - bbox_mAP_copypaste: 0.485 0.696 0.530 0.307 0.520 0.660 2024/01/14 17:43:39 - mmengine - INFO - Evaluating segm... 2024/01/14 17:44:02 - mmengine - INFO - segm_mAP_copypaste: 0.431 0.670 0.464 0.229 0.462 0.629 2024/01/14 17:44:02 - mmengine - INFO - Epoch(val) [12][313/313] coco/bbox_mAP: 0.4850 coco/bbox_mAP_50: 0.6960 coco/bbox_mAP_75: 0.5300 coco/bbox_mAP_s: 0.3070 coco/bbox_mAP_m: 0.5200 coco/bbox_mAP_l: 0.6600 coco/segm_mAP: 0.4310 coco/segm_mAP_50: 0.6700 coco/segm_mAP_75: 0.4640 coco/segm_mAP_s: 0.2290 coco/segm_mAP_m: 0.4620 coco/segm_mAP_l: 0.6290 data_time: 0.0245 time: 0.2251